@media (min-width: 600px) {

	.tc-link-info {
		display: -webkit-flex;
		display: -ms-flexbox;
		display: flex;

		-webkit-flex-wrap: wrap;
		-ms-flex-wrap: wrap;
		flex-wrap: wrap;
	}

	.tc-link-info-item {
		max-width: 18em;
		margin-right: 10px;
	}

.tc-link-info-item-medium {
		max-width: 30em;
		margin-right: 10px;
	}

       .tc-link-info-item-large {
		max-width: 600px;
width: 95%;
		margin-right: 10px;
	}
.tc-link-info-item-small {
		max-width: 31em;
		margin-right: 10px;
	}
   .tc-link-info-item-flex {
		max-width: 600px;
width: 70%;
		margin-right: 10px;
	}
   .tc-link-info-item-flex-50 {
		max-width: 600px;
width: 47%;
		margin-right: 10px;
	}
   .tc-link-info-item-flex-25 {
		max-width: 600px;
width: 23%;
		margin-right: 10px;
	}
}

   .tc-link-info-item-flex-35 {
		max-width: 600px;
width: 33%;
		margin-right: 10px;
	}
}

.tc-double-spaced-list {
	padding-bottom:.5em;padding-top:.5em;
}

.tc-link-info-item {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;
	background: #282828;
	font-size: 0.85em;
	line-height: 1.3;
}

.tc-link-info-item-medium {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;

	font-size: 0.9em;
	line-height: 1.3;
}

.tc-link-info-item h1 {
	font-weight: 500;
	font-size: 16px;	
}


.tc-link-info-item-small {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;

	font-size: 0.4em;
	line-height: 1.0;
}


.tc-link-info-item-small h1 {
	font-weight: 500;
	font-size: 14px;	
}

.tc-link-info-item-large {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;

	font-size: 1.0em;
	line-height: 1.4;
}


.tc-link-info-item-flex {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;

	font-size: 0.9em;
	line-height: 1.3;
}

.tc-link-info-item-flex-50 {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;

	font-size: 0.9em;
	line-height: 1.3;
}

.tc-link-info-item-flex-70 {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;

	font-size: 0.9em;
	line-height: 1.3;
}


.tc-link-info-item-flex-25 {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;

	font-size: 0.9em;
	line-height: 1.3;
}

.tc-link-info-item-flex-35 {
	display: inline-block;
	border: none;
	padding: 5px 10px;
	margin-bottom: 10px;

	font-size: 0.9em;
	line-height: 1.3;
}


.tc-link-info-item-large h1 {
	font-weight: 500;
	font-size: 16px;	
}


.tc-scrollable-demo {
	border: 1px solid <<colour message-border>>;
	background-color: <<colour message-background>>;
	padding: 1em;
	height: 400px;
}

.tc-improvement-banner {
	font-size: 0.7em;
	background: #fcc;
	padding-left: 5px;
	margin-top: 6px;
	margin-bottom: 12px;
	<<box-shadow "2px 2px 2px rgba(0,0,0,0.4)">>
}

@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {
	
	.tc-improvement-banner {
	}

}

@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {

	.tc-improvement-banner {
		margin-right: -53px;
		margin-left: -53px;
	}

	.tc-improvement-banner:before {
		display: block;
		position: absolute;
		width: 0;
		height: 0;
		content: " ";
		margin-left: -5px;
		margin-top: -10px;
		border-top: 5px solid transparent;
		border-left: 5px solid transparent;
		border-right: 5px solid #C07E7E;
		border-bottom: 5px solid #C07E7E;
	}

}

.tc-improvement-banner svg {
	width: 1em;
	height: 1em;
}

/*
Basic styles used before we boot up the parsing engine
*/

/*
Error message and password prompt
*/

.tc-error-form {
	font-family: sans-serif;
	color: #fff;
	z-index: 20000;
	position: fixed;
	background-color: rgb(255, 75, 75);
	border: 8px solid rgb(255, 0, 0);
	border-radius: 8px;
	width: 50%;
	margin-left: 25%;
	margin-top: 4em;
	padding: 0 2em 1em 2em;
}

.tc-error-form h1 {
	text-align: center;
}

.tc-error-prompt {
	text-align: center;
	color: #000;
}

.tc-error-message {
	overflow: auto;
	max-height: 40em;
	padding-right: 1em;
	margin: 1em 0;
	white-space: pre-line;
}

.tc-password-wrapper {
    font-family: sans-serif;
	z-index: 20000;
	position: fixed;
	text-align: center;
	width: 200px;
	top: 4em;
	left: 50%;
	margin-left: -144px; /* - width/2 - paddingHorz/2 - border */
	padding: 16px 16px 16px 16px;
	border-radius: 8px;
}

.tc-password-wrapper {
	color: #000;
	text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5);
	background-color: rgb(197, 235, 183);
	border: 8px solid rgb(164, 197, 152);
}

.tc-password-wrapper form {
	text-align: left;
}

.tc-password-wrapper h1 {
	font-size: 16px;
	line-height: 20px;
	padding-bottom: 16px;
}

.tc-password-wrapper input {
	width: 100%;
}

/*\
title: $:/boot/boot.js
type: application/javascript

The main boot kernel for TiddlyWiki. This single file creates a barebones TW environment that is just sufficient to bootstrap the modules containing the main logic of the application.

On the server this file is executed directly to boot TiddlyWiki. In the browser, this file is packed into a single HTML file.

\*/

var _boot = (function($tw) {

/*jslint node: true, browser: true */
/*global modules: false, $tw: false */
"use strict";

// Include bootprefix if we're not given module data
if(!$tw) {
	$tw = require("./bootprefix.js").bootprefix();
}

$tw.utils = $tw.utils || Object.create(null);

/////////////////////////// Standard node.js libraries

var fs, path, vm;
if($tw.node) {
	fs = require("fs");
	path = require("path");
	vm = require("vm");
}

/////////////////////////// Utility functions

$tw.boot.log = function(str) {
	$tw.boot.logMessages = $tw.boot.logMessages || [];
	$tw.boot.logMessages.push(str);
}

/*
Check if an object has a property
*/
$tw.utils.hop = function(object,property) {
	return object ? Object.prototype.hasOwnProperty.call(object,property) : false;
};

/*
Determine if a value is an array
*/
$tw.utils.isArray = function(value) {
	return Object.prototype.toString.call(value) == "[object Array]";
};

/*
Check if an array is equal by value and by reference.
*/
$tw.utils.isArrayEqual = function(array1,array2) {
	if(array1 === array2) {
		return true;
	}
	array1 = array1 || [];
	array2 = array2 || [];
	if(array1.length !== array2.length) {
		return false;
	}
	return array1.every(function(value,index) {
		return value === array2[index];
	});
};

/*
Add an entry to a sorted array if it doesn't already exist, while maintaining the sort order
*/
$tw.utils.insertSortedArray = function(array,value) {
	var low = 0, high = array.length - 1, mid, cmp;
	while(low <= high) {
		mid = (low + high) >> 1;
		cmp = value.localeCompare(array[mid]);
		if(cmp > 0) {
			low = mid + 1;
		} else if(cmp < 0) {
			high = mid - 1;
		} else {
			return array;
		}
	}
	array.splice(low,0,value);
	return array;
};

/*
Push entries onto an array, removing them first if they already exist in the array
	array: array to modify (assumed to be free of duplicates)
	value: a single value to push or an array of values to push
*/
$tw.utils.pushTop = function(array,value) {
	var t,p;
	if($tw.utils.isArray(value)) {
		// Remove any array entries that are duplicated in the new values
		if(value.length !== 0) {
			if(array.length !== 0) {
				if(value.length < array.length) {
					for(t=0; t<value.length; t++) {
						p = array.indexOf(value[t]);
						if(p !== -1) {
							array.splice(p,1);
						}
					}
				} else {
					for(t=array.length-1; t>=0; t--) {
						p = value.indexOf(array[t]);
						if(p !== -1) {
							array.splice(t,1);
						}
					}
				}
			}
			// Push the values on top of the main array
			array.push.apply(array,value);
		}
	} else {
		p = array.indexOf(value);
		if(p !== -1) {
			array.splice(p,1);
		}
		array.push(value);
	}
	return array;
};

/*
Determine if a value is a date
*/
$tw.utils.isDate = function(value) {
	return Object.prototype.toString.call(value) === "[object Date]";
};

/*
Iterate through all the own properties of an object or array. Callback is invoked with (element,title,object)
*/
$tw.utils.each = function(object,callback) {
	var next,f,length;
	if(object) {
		if(Object.prototype.toString.call(object) == "[object Array]") {
			for (f=0, length=object.length; f<length; f++) {
				next = callback(object[f],f,object);
				if(next === false) {
					break;
				}
		    }
		} else {
			var keys = Object.keys(object);
			for (f=0, length=keys.length; f<length; f++) {
				var key = keys[f];
				next = callback(object[key],key,object);
				if(next === false) {
					break;
				}
			}
		}
	}
};

/*
Helper for making DOM elements
tag: tag name
options: see below
Options include:
namespace: defaults to http://www.w3.org/1999/xhtml
attributes: hashmap of attribute values
style: hashmap of styles
text: text to add as a child node
children: array of further child nodes
innerHTML: optional HTML for element
class: class name(s)
document: defaults to current document
eventListeners: array of event listeners (this option won't work until $tw.utils.addEventListeners() has been loaded)
*/
$tw.utils.domMaker = function(tag,options) {
	var doc = options.document || document;
	var element = doc.createElementNS(options.namespace || "http://www.w3.org/1999/xhtml",tag);
	if(options["class"]) {
		element.className = options["class"];
	}
	if(options.text) {
		element.appendChild(doc.createTextNode(options.text));
	}
	$tw.utils.each(options.children,function(child) {
		element.appendChild(child);
	});
	if(options.innerHTML) {
		element.innerHTML = options.innerHTML;
	}
	$tw.utils.each(options.attributes,function(attribute,name) {
		element.setAttribute(name,attribute);
	});
	$tw.utils.each(options.style,function(value,name) {
		element.style[name] = value;
	});
	if(options.eventListeners) {
		$tw.utils.addEventListeners(element,options.eventListeners);
	}
	return element;
};

/*
Display an error and exit
*/
$tw.utils.error = function(err) {
	// Prepare the error message
	var errHeading = ( $tw.language == undefined ? "Internal JavaScript Error" : $tw.language.getString("InternalJavaScriptError/Title") ),
		promptMsg = ( $tw.language == undefined ? "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser" : $tw.language.getString("InternalJavaScriptError/Hint") );
	// Log the error to the console
	console.error($tw.node ? "\x1b[1;31m" + err + "\x1b[0m" : err);
	if($tw.browser && !$tw.node) {
		// Display an error message to the user
		var dm = $tw.utils.domMaker,
			heading = dm("h1",{text: errHeading}),
			prompt = dm("div",{text: promptMsg, "class": "tc-error-prompt"}),
			message = dm("div",{text: err, "class":"tc-error-message"}),
			button = dm("div",{children: [dm("button",{text: ( $tw.language == undefined ? "close" : $tw.language.getString("Buttons/Close/Caption") )})], "class": "tc-error-prompt"}),
			form = dm("form",{children: [heading,prompt,message,button], "class": "tc-error-form"});
		document.body.insertBefore(form,document.body.firstChild);
		form.addEventListener("submit",function(event) {
			document.body.removeChild(form);
			event.preventDefault();
			return false;
		},true);
		return null;
	} else if(!$tw.browser) {
		// Exit if we're under node.js
		process.exit(1);
	}
};

/*
Use our custom error handler if we're in the browser
*/
if($tw.boot.tasks.trapErrors) {
	window.onerror = function(errorMsg,url,lineNumber) {
		$tw.utils.error(errorMsg);
		return false;
	};
}

/*
Extend an object with the properties from a list of source objects
*/
$tw.utils.extend = function(object /*, sourceObjectList */) {
	$tw.utils.each(Array.prototype.slice.call(arguments,1),function(source) {
		if(source) {
			for (var p in source) {
				object[p] = source[p];
			}
		}
	});
	return object;
};

/*
Fill in any null or undefined properties of an object with the properties from a list of source objects. Each property that is an object is called recursively
*/
$tw.utils.deepDefaults = function(object /*, sourceObjectList */) {
	$tw.utils.each(Array.prototype.slice.call(arguments,1),function(source) {
		if(source) {
			for (var p in source) {
				if(object[p] === null || object[p] === undefined) {
					object[p] = source[p];
				}
				if(typeof object[p] === "object" && typeof source[p] === "object") {
					$tw.utils.deepDefaults(object[p],source[p]);
				}
			}
		}
	});
	return object;
};

/*
Convert a URIComponent encoded string to a string safely
*/
$tw.utils.decodeURIComponentSafe = function(s) {
	var v = s;
	try {
		v = decodeURIComponent(s);
	} catch(e) {}
	return v;
};

/*
Convert a URI encoded string to a string safely
*/
$tw.utils.decodeURISafe = function(s) {
	var v = s;
	try {
		v = decodeURI(s);
	} catch(e) {}
	return v;
};

/*
Convert "&amp;" to &, "&nbsp;" to nbsp, "&lt;" to <, "&gt;" to > and "&quot;" to "
*/
$tw.utils.htmlDecode = function(s) {
	return s.toString().replace(/&lt;/mg,"<").replace(/&nbsp;/mg,"\xA0").replace(/&gt;/mg,">").replace(/&quot;/mg,"\"").replace(/&amp;/mg,"&");
};

/*
Get the browser location.hash. We don't use location.hash because of the way that Firefox auto-urldecodes it (see http://stackoverflow.com/questions/1703552/encoding-of-window-location-hash)
*/
$tw.utils.getLocationHash = function() {
	var href = window.location.href;
	var idx = href.indexOf('#');
	if(idx === -1) {
		return "#";
	} else if(href.substr(idx + 1,1) === "#" ||  href.substr(idx + 1,3) === "%23") {
		// Special case: ignore location hash if it itself starts with a #
		return "#";
	} else {
		return href.substring(idx);
	}
};

/*
Pad a string to a given length with "0"s. Length defaults to 2
*/
$tw.utils.pad = function(value,length) {
	length = length || 2;
	var s = value.toString();
	if(s.length < length) {
		s = "000000000000000000000000000".substr(0,length - s.length) + s;
	}
	return s;
};

// Convert a date into UTC YYYYMMDDHHMMSSmmm format
$tw.utils.stringifyDate = function(value) {
	return value.getUTCFullYear() +
			$tw.utils.pad(value.getUTCMonth() + 1) +
			$tw.utils.pad(value.getUTCDate()) +
			$tw.utils.pad(value.getUTCHours()) +
			$tw.utils.pad(value.getUTCMinutes()) +
			$tw.utils.pad(value.getUTCSeconds()) +
			$tw.utils.pad(value.getUTCMilliseconds(),3);
};

// Parse a date from a UTC YYYYMMDDHHMMSSmmm format string
$tw.utils.parseDate = function(value) {
	if(typeof value === "string") {
		var negative = 1;
		if(value.charAt(0) === "-") {
			negative = -1;
			value = value.substr(1);
		}
		var year = parseInt(value.substr(0,4),10) * negative,
			d = new Date(Date.UTC(year,
				parseInt(value.substr(4,2),10)-1,
				parseInt(value.substr(6,2),10),
				parseInt(value.substr(8,2)||"00",10),
				parseInt(value.substr(10,2)||"00",10),
				parseInt(value.substr(12,2)||"00",10),
				parseInt(value.substr(14,3)||"000",10)));
		  d.setUTCFullYear(year); // See https://stackoverflow.com/a/5870822
		  return d;
	} else if($tw.utils.isDate(value)) {
		return value;
	} else {
		return null;
	}
};

// Stringify an array of tiddler titles into a list string
$tw.utils.stringifyList = function(value) {
	if($tw.utils.isArray(value)) {
		var result = new Array(value.length);
		for(var t=0, l=value.length; t<l; t++) {
			var entry = value[t] || "";
			if(entry.match(/[^\S\xA0]/mg)) {
				result[t] = "[[" + entry + "]]";
			} else {
				result[t] = entry;
			}
		}
		return result.join(" ");
	} else {
		return value || "";
	}
};

// Parse a string array from a bracketted list. For example "OneTiddler [[Another Tiddler]] LastOne"
$tw.utils.parseStringArray = function(value, allowDuplicate) {
	if(typeof value === "string") {
		var memberRegExp = /(?:^|[^\S\xA0])(?:\[\[(.*?)\]\])(?=[^\S\xA0]|$)|([\S\xA0]+)/mg,
			results = [], names = {},
			match;
		do {
			match = memberRegExp.exec(value);
			if(match) {
				var item = match[1] || match[2];
				if(item !== undefined && (!$tw.utils.hop(names,item) || allowDuplicate)) {
					results.push(item);
					names[item] = true;
				}
			}
		} while(match);
		return results;
	} else if($tw.utils.isArray(value)) {
		return value;
	} else {
		return null;
	}
};

// Parse a block of name:value fields. The `fields` object is used as the basis for the return value
$tw.utils.parseFields = function(text,fields) {
	fields = fields || Object.create(null);
	text.split(/\r?\n/mg).forEach(function(line) {
		if(line.charAt(0) !== "#") {
			var p = line.indexOf(":");
			if(p !== -1) {
				var field = line.substr(0, p).trim(),
					value = line.substr(p+1).trim();
				if(field) {
					fields[field] = value;
				}
			}
		}
	});
	return fields;
};

// Safely parse a string as JSON
$tw.utils.parseJSONSafe = function(text,defaultJSON) {
	try {
		return JSON.parse(text);
	} catch(e) {
		if(typeof defaultJSON === "function") {
			return defaultJSON(e);
		} else {
			return defaultJSON || {};
		}
	}
};

/*
Resolves a source filepath delimited with `/` relative to a specified absolute root filepath.
In relative paths, the special folder name `..` refers to immediate parent directory, and the
name `.` refers to the current directory
*/
$tw.utils.resolvePath = function(sourcepath,rootpath) {
	// If the source path starts with ./ or ../ then it is relative to the root
	if(sourcepath.substr(0,2) === "./" || sourcepath.substr(0,3) === "../" ) {
		var src = sourcepath.split("/"),
			root = rootpath.split("/");
		// Remove the filename part of the root
		root.splice(root.length-1,1);
		// Process the source path bit by bit onto the end of the root path
		while(src.length > 0) {
			var c = src.shift();
			if(c === "..") { // Slice off the last root entry for a double dot
				if(root.length > 0) {
					root.splice(root.length-1,1);
				}
			} else if(c !== ".") { // Ignore dots
				root.push(c); // Copy other elements across
			}
		}
		return root.join("/");
	} else {
		// If it isn't relative, just return the path
		if(rootpath) {
			var root = rootpath.split("/");
			// Remove the filename part of the root
			root.splice(root.length - 1, 1);
			return root.join("/") + "/" + sourcepath;
		} else {
			return sourcepath;
		}
	}
};

/*
Parse a semantic version string into its constituent parts -- see https://semver.org
*/
$tw.utils.parseVersion = function(version) {
	var match = /^v?((\d+)\.(\d+)\.(\d+))(?:-([\dA-Za-z\-]+(?:\.[\dA-Za-z\-]+)*))?(?:\+([\dA-Za-z\-]+(?:\.[\dA-Za-z\-]+)*))?$/.exec(version);
	if(match) {
		return {
			version: match[1],
			major: parseInt(match[2],10),
			minor: parseInt(match[3],10),
			patch: parseInt(match[4],10),
			prerelease: match[5],
			build: match[6]
		};
	} else {
		return null;
	}
};

/*
Returns +1 if the version string A is greater than the version string B, 0 if they are the same, and +1 if B is greater than A.
Missing or malformed version strings are parsed as 0.0.0
*/
$tw.utils.compareVersions = function(versionStringA,versionStringB) {
	var defaultVersion = {
			major: 0,
			minor: 0,
			patch: 0
		},
		versionA = $tw.utils.parseVersion(versionStringA) || defaultVersion,
		versionB = $tw.utils.parseVersion(versionStringB) || defaultVersion,
		diff = [
			versionA.major - versionB.major,
			versionA.minor - versionB.minor,
			versionA.patch - versionB.patch
		];
	if((diff[0] > 0) || (diff[0] === 0 && diff[1] > 0) || (diff[0] === 0 & diff[1] === 0 & diff[2] > 0)) {
		return +1;
	} else if((diff[0] < 0) || (diff[0] === 0 && diff[1] < 0) || (diff[0] === 0 & diff[1] === 0 & diff[2] < 0)) {
		return -1;
	} else {
		return 0;
	}
};

/*
Returns true if the version string A is greater than the version string B. Returns true if the versions are the same
*/
$tw.utils.checkVersions = function(versionStringA,versionStringB) {
	return $tw.utils.compareVersions(versionStringA,versionStringB) !== -1;
};

/*
Register file type information
options: {flags: flags,deserializerType: deserializerType}
	flags:"image" for image types
	deserializerType: defaults to type if not specified
*/
$tw.utils.registerFileType = function(type,encoding,extension,options) {
	options = options || {};
	if($tw.utils.isArray(extension)) {
		$tw.utils.each(extension,function(extension) {
			$tw.config.fileExtensionInfo[extension] = {type: type};
		});
		extension = extension[0];
	} else {
		$tw.config.fileExtensionInfo[extension] = {type: type};
	}
	$tw.config.contentTypeInfo[type] = {encoding: encoding, extension: extension, flags: options.flags || [], deserializerType: options.deserializerType || type};
};

/*
Given an extension, always access the $tw.config.fileExtensionInfo
using a lowercase extension only.
*/
$tw.utils.getFileExtensionInfo = function(ext) {
	return ext ? $tw.config.fileExtensionInfo[ext.toLowerCase()] : null;
}

/*
Given an extension, get the correct encoding for that file.
defaults to utf8
*/
$tw.utils.getTypeEncoding = function(ext) {
	var extensionInfo = $tw.utils.getFileExtensionInfo(ext),
		type = extensionInfo ? extensionInfo.type : null,
		typeInfo = type ? $tw.config.contentTypeInfo[type] : null;
	return typeInfo ? typeInfo.encoding : "utf8";
};

var globalCheck =[
	"  Object.defineProperty(Object.prototype, '__temp__', {",
	"    get: function () { return this; },",
	"    configurable: true",
	"  });",
	"  if(Object.keys(__temp__).length){",
	"    console.log(\"Warning: Global assignment detected\",Object.keys(__temp__));",
	"    delete Object.prototype.__temp__;",
	"  }",
	"  delete Object.prototype.__temp__;",
].join('\n');

/*
Run code globally with specified context variables in scope
*/
$tw.utils.evalGlobal = function(code,context,filename,sandbox,allowGlobals) {
	var contextCopy = $tw.utils.extend(Object.create(null),context);
	// Get the context variables as a pair of arrays of names and values
	var contextNames = [], contextValues = [];
	$tw.utils.each(contextCopy,function(value,name) {
		contextNames.push(name);
		contextValues.push(value);
	});
	// Add the code prologue and epilogue
	code = [
		"(function(" + contextNames.join(",") + ") {",
		"  (function(){" + code + "\n;})();\n",
		(!$tw.browser && sandbox && !allowGlobals) ? globalCheck : "",
		"\nreturn exports;\n",
		"})"
	].join("");

	// Compile the code into a function
	var fn;
	if($tw.browser) {
		fn = window["eval"](code + "\n\n//# sourceURL=" + filename);
	} else {
		if(sandbox){
			fn = vm.runInContext(code,sandbox,filename)
		} else {
			fn = vm.runInThisContext(code,filename);
		}
	}
	// Call the function and return the exports
	return fn.apply(null,contextValues);
};
$tw.utils.sandbox = !$tw.browser ? vm.createContext({}) : undefined; 
/*
Run code in a sandbox with only the specified context variables in scope
*/
$tw.utils.evalSandboxed = $tw.browser ? $tw.utils.evalGlobal : function(code,context,filename,allowGlobals) {
	return $tw.utils.evalGlobal(
		code,context,filename,
		allowGlobals ? vm.createContext({}) : $tw.utils.sandbox,
		allowGlobals
	);
};

/*
Creates a PasswordPrompt object
*/
$tw.utils.PasswordPrompt = function() {
	// Store of pending password prompts
	this.passwordPrompts = [];
	// Create the wrapper
	this.promptWrapper = $tw.utils.domMaker("div",{"class":"tc-password-wrapper"});
	document.body.appendChild(this.promptWrapper);
	// Hide the empty wrapper
	this.setWrapperDisplay();
};

/*
Hides or shows the wrapper depending on whether there are any outstanding prompts
*/
$tw.utils.PasswordPrompt.prototype.setWrapperDisplay = function() {
	if(this.passwordPrompts.length) {
		this.promptWrapper.style.display = "block";
	} else {
		this.promptWrapper.style.display = "none";
	}
};

/*
Adds a new password prompt. Options are:
submitText: text to use for submit button (defaults to "Login")
serviceName: text of the human readable service name
noUserName: set true to disable username prompt
canCancel: set true to enable a cancel button (callback called with null)
repeatPassword: set true to prompt for the password twice
callback: function to be called on submission with parameter of object {username:,password:}. Callback must return `true` to remove the password prompt
*/
$tw.utils.PasswordPrompt.prototype.createPrompt = function(options) {
	// Create and add the prompt to the DOM
	var self = this,
		submitText = options.submitText || "Login",
		dm = $tw.utils.domMaker,
		children = [dm("h1",{text: options.serviceName})];
	if(!options.noUserName) {
		children.push(dm("input",{
			attributes: {type: "text", name: "username", placeholder: $tw.language.getString("Encryption/Username")}
		}));
	}
	children.push(dm("input",{
		attributes: {
			type: "password",
			name: "password",
			placeholder: ( $tw.language == undefined ? "Password" : $tw.language.getString("Encryption/Password") )
		}
	}));
	if(options.repeatPassword) {
		children.push(dm("input",{
			attributes: {
				type: "password",
				name: "password2",
				placeholder: $tw.language.getString("Encryption/RepeatPassword")
			}
		}));
	}
	if(options.canCancel) {
		children.push(dm("button",{
			text: $tw.language.getString("Encryption/Cancel"),
			attributes: {
				type: "button"
			},
			eventListeners: [{
					name: "click",
					handlerFunction: function(event) {
						self.removePrompt(promptInfo);
						options.callback(null);
					}
				}]
		}));
	}
	children.push(dm("button",{
		attributes: {type: "submit"},
		text: submitText
	}));
	var form = dm("form",{
		attributes: {autocomplete: "off"},
		children: children
	});
	this.promptWrapper.appendChild(form);
	window.setTimeout(function() {
		form.elements[0].focus();
	},10);
	// Add a submit event handler
	var self = this;
	form.addEventListener("submit",function(event) {
		// Collect the form data
		var data = {},t;
		$tw.utils.each(form.elements,function(element) {
			if(element.name && element.value) {
				data[element.name] = element.value;
			}
		});
		// Check that the passwords match
		if(options.repeatPassword && data.password !== data.password2) {
			alert($tw.language.getString("Encryption/PasswordNoMatch"));
		} else {
			// Call the callback
			if(options.callback(data)) {
				// Remove the prompt if the callback returned true
				self.removePrompt(promptInfo);
			} else {
				// Clear the password if the callback returned false
				$tw.utils.each(form.elements,function(element) {
					if(element.name === "password" || element.name === "password2") {
						element.value = "";
					}
				});
			}
		}
		event.preventDefault();
		return false;
	},true);
	// Add the prompt to the list
	var promptInfo = {
		serviceName: options.serviceName,
		callback: options.callback,
		form: form,
		owner: this
	};
	this.passwordPrompts.push(promptInfo);
	// Make sure the wrapper is displayed
	this.setWrapperDisplay();
	return promptInfo;
};

$tw.utils.PasswordPrompt.prototype.removePrompt = function(promptInfo) {
	var i = this.passwordPrompts.indexOf(promptInfo);
	if(i !== -1) {
		this.passwordPrompts.splice(i,1);
		promptInfo.form.parentNode.removeChild(promptInfo.form);
		this.setWrapperDisplay();
	}
}

/*
Crypto helper object for encrypted content. It maintains the password text in a closure, and provides methods to change
the password, and to encrypt/decrypt a block of text
*/
$tw.utils.Crypto = function() {
	var sjcl = $tw.node ? (global.sjcl || require("./sjcl.js")) : window.sjcl,
		currentPassword = null,
		callSjcl = function(method,inputText,password) {
			password = password || currentPassword;
			var outputText;
			try {
				if(password) {
					outputText = sjcl[method](password,inputText);
				}
			} catch(ex) {
				console.log("Crypto error:" + ex);
				outputText = null;
			}
			return outputText;
		};
	this.setPassword = function(newPassword) {
		currentPassword = newPassword;
		this.updateCryptoStateTiddler();
	};
	this.updateCryptoStateTiddler = function() {
		if($tw.wiki) {
			var state = currentPassword ? "yes" : "no",
				tiddler = $tw.wiki.getTiddler("$:/isEncrypted");
			if(!tiddler || tiddler.fields.text !== state) {
				$tw.wiki.addTiddler(new $tw.Tiddler({title: "$:/isEncrypted", text: state}));
			}
		}
	};
	this.hasPassword = function() {
		return !!currentPassword;
	}
	this.encrypt = function(text,password) {
		return callSjcl("encrypt",text,password);
	};
	this.decrypt = function(text,password) {
		return callSjcl("decrypt",text,password);
	};
};

/////////////////////////// Module mechanism

/*
Execute the module named 'moduleName'. The name can optionally be relative to the module named 'moduleRoot'
*/
$tw.modules.execute = function(moduleName,moduleRoot) {
	var name = moduleName;
	if(moduleName.charAt(0) === ".") {
		name = $tw.utils.resolvePath(moduleName,moduleRoot)
	}
	if(!$tw.modules.titles[name]) {
		if($tw.modules.titles[name + ".js"]) {
			name = name + ".js";
		} else if($tw.modules.titles[name + "/index.js"]) {
			name = name + "/index.js";
		} else if($tw.modules.titles[moduleName]) {
			name = moduleName;
		} else if($tw.modules.titles[moduleName + ".js"]) {
			name = moduleName + ".js";
		} else if($tw.modules.titles[moduleName + "/index.js"]) {
			name = moduleName + "/index.js";
		}
	}
	var moduleInfo = $tw.modules.titles[name],
		tiddler = $tw.wiki.getTiddler(name),
		_exports = {},
		sandbox = {
			module: {exports: _exports},
			//moduleInfo: moduleInfo,
			exports: _exports,
			console: console,
			setInterval: setInterval,
			clearInterval: clearInterval,
			setTimeout: setTimeout,
			clearTimeout: clearTimeout,
			Buffer: $tw.browser ? undefined : Buffer,
			$tw: $tw,
			require: function(title) {
				return $tw.modules.execute(title, name);
			}
		};

	Object.defineProperty(sandbox.module, "id", {
		value: name,
		writable: false,
		enumerable: true,
		configurable: false
	});

	if(!$tw.browser) {
		$tw.utils.extend(sandbox,{
			process: process
		});
	} else {
		/*
		CommonJS optional require.main property:
		 In a browser we offer a fake main module which points back to the boot function
		 (Theoretically, this may allow TW to eventually load itself as a module in the browser)
		*/
		Object.defineProperty(sandbox.require, "main", {
			value: (typeof(require) !== "undefined") ? require.main : {TiddlyWiki: _boot},
			writable: false,
			enumerable: true,
			configurable: false
		});
	}
	if(!moduleInfo) {
		// We could not find the module on this path
		// Try to defer to browserify etc, or node
		var deferredModule;
		if($tw.browser) {
			if(window.require) {
				try {
					return window.require(moduleName);
				} catch(e) {}
			}
			throw "Cannot find module named '" + moduleName + "' required by module '" + moduleRoot + "', resolved to " + name;
		} else {
			// If we don't have a module with that name, let node.js try to find it
			return require(moduleName);
		}
	}
	// Execute the module if we haven't already done so
	if(!moduleInfo.exports) {
		try {
			// Check the type of the definition
			if(typeof moduleInfo.definition === "function") { // Function
				moduleInfo.exports = _exports;
				moduleInfo.definition(moduleInfo,moduleInfo.exports,sandbox.require);
			} else if(typeof moduleInfo.definition === "string") { // String
				moduleInfo.exports = _exports;
				$tw.utils.evalSandboxed(moduleInfo.definition,sandbox,tiddler.fields.title);
				if(sandbox.module.exports) {
					moduleInfo.exports = sandbox.module.exports; //more codemirror workaround
				}
			} else { // Object
				moduleInfo.exports = moduleInfo.definition;
			}
		} catch(e) {
			if (e instanceof SyntaxError) {
				var line = e.lineNumber || e.line; // Firefox || Safari
				if (typeof(line) != "undefined" && line !== null) {
					$tw.utils.error("Syntax error in boot module " + name + ":" + line + ":\n" + e.stack);
				} else if(!$tw.browser) {
					// this is the only way to get node.js to display the line at which the syntax error appeared,
					// and $tw.utils.error would exit anyway
					// cf. https://bugs.chromium.org/p/v8/issues/detail?id=2589
					throw e;
				} else {
					// Opera: line number is included in e.message
					// Chrome/IE: there's currently no way to get the line number
					$tw.utils.error("Syntax error in boot module " + name + ": " + e.message + "\n" + e.stack);
				}
			} else {
				// line number should be included in e.stack for runtime errors
				$tw.utils.error("Error executing boot module " + name + ": " + String(e) + "\n\n" + e.stack);
			}
		}
	}
	// Return the exports of the module
	return moduleInfo.exports;
};

/*
Apply a callback to each module of a particular type
	moduleType: type of modules to enumerate
	callback: function called as callback(title,moduleExports) for each module
*/
$tw.modules.forEachModuleOfType = function(moduleType,callback) {
	var modules = $tw.modules.types[moduleType];
	$tw.utils.each(modules,function(element,title) {
		callback(title,$tw.modules.execute(title));
	});
};

/*
Get all the modules of a particular type in a hashmap by their `name` field
*/
$tw.modules.getModulesByTypeAsHashmap = function(moduleType,nameField) {
	nameField = nameField || "name";
	var results = Object.create(null);
	$tw.modules.forEachModuleOfType(moduleType,function(title,module) {
		results[module[nameField]] = module;
	});
	return results;
};

/*
Apply the exports of the modules of a particular type to a target object
*/
$tw.modules.applyMethods = function(moduleType,targetObject) {
	if(!targetObject) {
		targetObject = Object.create(null);
	}
	$tw.modules.forEachModuleOfType(moduleType,function(title,module) {
		$tw.utils.each(module,function(element,title,object) {
			targetObject[title] = module[title];
		});
	});
	return targetObject;
};

/*
Return a class created from a modules. The module should export the properties to be added to those of the optional base class
*/
$tw.modules.createClassFromModule = function(moduleExports,baseClass) {
	var newClass = function() {};
	if(baseClass) {
		newClass.prototype = new baseClass();
		newClass.prototype.constructor = baseClass;
	}
	$tw.utils.extend(newClass.prototype,moduleExports);
	return newClass;
};

/*
Return an array of classes created from the modules of a specified type. Each module should export the properties to be added to those of the optional base class
*/
$tw.modules.createClassesFromModules = function(moduleType,subType,baseClass) {
	var classes = Object.create(null);
	$tw.modules.forEachModuleOfType(moduleType,function(title,moduleExports) {
		if(!subType || moduleExports.types[subType]) {
			classes[moduleExports.name] = $tw.modules.createClassFromModule(moduleExports,baseClass);
		}
	});
	return classes;
};

/////////////////////////// Barebones tiddler object

/*
Construct a tiddler object from a hashmap of tiddler fields. If multiple hasmaps are provided they are merged,
taking precedence to the right
*/
$tw.Tiddler = function(/* [fields,] fields */) {
	this.fields = Object.create(null);
	this.cache = Object.create(null);
	for(var c=0; c<arguments.length; c++) {
		var arg = arguments[c],
			src = (arg instanceof $tw.Tiddler) ? arg.fields : arg;
		for(var t in src) {
			if(src[t] === undefined || src[t] === null) {
				if(t in this.fields) {
					delete this.fields[t]; // If we get a field that's undefined, delete any previous field value
				}
			} else {
				// Parse the field with the associated field module (if any)
				var fieldModule = $tw.Tiddler.fieldModules[t],
					value;
				if(fieldModule && fieldModule.parse) {
					value = fieldModule.parse.call(this,src[t]);
				} else {
					value = src[t];
				}
				// Freeze the field to keep it immutable
				if(value != null && typeof value === "object") {
					Object.freeze(value);
				}
				this.fields[t] = value;
			}
		}
	}
	// Freeze the tiddler against modification
	Object.freeze(this.fields);
	Object.freeze(this);
};

$tw.Tiddler.prototype.hasField = function(field) {
	return $tw.utils.hop(this.fields,field);
};

/*
Compare two tiddlers for equality
tiddler: the tiddler to compare
excludeFields: array of field names to exclude from the comparison
*/
$tw.Tiddler.prototype.isEqual = function(tiddler,excludeFields) {
	if(!(tiddler instanceof $tw.Tiddler)) {
		return false;
	}
	excludeFields = excludeFields || [];
	var self = this,
		differences = []; // Fields that have differences
	// Add to the differences array
	function addDifference(fieldName) {
		// Check for this field being excluded
		if(excludeFields.indexOf(fieldName) === -1) {
			// Save the field as a difference
			$tw.utils.pushTop(differences,fieldName);
		}
	}
	// Returns true if the two values of this field are equal
	function isFieldValueEqual(fieldName) {
		var valueA = self.fields[fieldName],
			valueB = tiddler.fields[fieldName];
		// Check for identical string values
		if(typeof(valueA) === "string" && typeof(valueB) === "string" && valueA === valueB) {
			return true;
		}
		// Check for identical array values
		if($tw.utils.isArray(valueA) && $tw.utils.isArray(valueB) && $tw.utils.isArrayEqual(valueA,valueB)) {
			return true;
		}
		// Check for identical date values
		if($tw.utils.isDate(valueA) && $tw.utils.isDate(valueB) && valueA.getTime() === valueB.getTime()) {
			return true;
		}
		// Otherwise the fields must be different
		return false;
	}
	// Compare our fields
	for(var fieldName in this.fields) {
		if(!isFieldValueEqual(fieldName)) {
			addDifference(fieldName);
		}
	}
	// There's a difference for every field in the other tiddler that we don't have
	for(fieldName in tiddler.fields) {
		if(!(fieldName in this.fields)) {
			addDifference(fieldName);
		}
	}
	// Return whether there were any differences
	return differences.length === 0;
};

/*
Register and install the built in tiddler field modules
*/
$tw.modules.define("$:/boot/tiddlerfields/modified","tiddlerfield",{
	name: "modified",
	parse: $tw.utils.parseDate,
	stringify: $tw.utils.stringifyDate
});
$tw.modules.define("$:/boot/tiddlerfields/created","tiddlerfield",{
	name: "created",
	parse: $tw.utils.parseDate,
	stringify: $tw.utils.stringifyDate
});
$tw.modules.define("$:/boot/tiddlerfields/color","tiddlerfield",{
	name: "color",
	editTag: "input",
	editType: "color"
});
$tw.modules.define("$:/boot/tiddlerfields/tags","tiddlerfield",{
	name: "tags",
	parse: $tw.utils.parseStringArray,
	stringify: $tw.utils.stringifyList
});
$tw.modules.define("$:/boot/tiddlerfields/list","tiddlerfield",{
	name: "list",
	parse: $tw.utils.parseStringArray,
	stringify: $tw.utils.stringifyList
});

/////////////////////////// Barebones wiki store

/*
Wiki constructor. State is stored in private members that only a small number of privileged accessor methods have direct access. Methods added via the prototype have to use these accessors and cannot access the state data directly.
options include:
enableIndexers - Array of indexer names to enable, or null to use all available indexers
*/
$tw.Wiki = function(options) {
	options = options || {};
	var self = this,
		tiddlers = Object.create(null), // Hashmap of tiddlers
		tiddlerTitles = null, // Array of tiddler titles
		getTiddlerTitles = function() {
			if(!tiddlerTitles) {
				tiddlerTitles = Object.keys(tiddlers).sort(function(a,b) {return a.localeCompare(b);});
			}
			return tiddlerTitles;
		},
		pluginTiddlers = [], // Array of tiddlers containing registered plugins, ordered by priority
		pluginInfo = Object.create(null), // Hashmap of parsed plugin content
		shadowTiddlers = Object.create(null), // Hashmap by title of {source:, tiddler:}
		shadowTiddlerTitles = null,
		getShadowTiddlerTitles = function() {
			if(!shadowTiddlerTitles) {
				shadowTiddlerTitles = Object.keys(shadowTiddlers).sort(function(a,b) {return a.localeCompare(b);});
			}
			return shadowTiddlerTitles;
		},
		enableIndexers = options.enableIndexers || null,
		indexers = [],
		indexersByName = Object.create(null);

	this.addIndexer = function(indexer,name) {
		// Bail if this indexer is not enabled
		if(enableIndexers && enableIndexers.indexOf(name) === -1) {
			return;
		}
		indexers.push(indexer);
		indexersByName[name] = indexer;
		indexer.init();
	};

	this.getIndexer = function(name) {
		return indexersByName[name] || null;
	};

	// Add a tiddler to the store
	this.addTiddler = function(tiddler) {
		if(!(tiddler instanceof $tw.Tiddler)) {
			tiddler = new $tw.Tiddler(tiddler);
		}
		// Save the tiddler
		if(tiddler) {
			var title = tiddler.fields.title;
			if(title) {
// Uncomment the following line for detailed logs of all tiddler writes
// console.log("Adding",title,tiddler)
				// Record the old tiddler state
				var updateDescriptor = {
					old: {
						tiddler: this.getTiddler(title),
						shadow: this.isShadowTiddler(title),
						exists: this.tiddlerExists(title)
					}
				}
				// Save the new tiddler
				tiddlers[title] = tiddler;
				// Check we've got the title
				tiddlerTitles = $tw.utils.insertSortedArray(tiddlerTitles || [],title);
				// Record the new tiddler state
				updateDescriptor["new"] = {
					tiddler: tiddler,
					shadow: this.isShadowTiddler(title),
					exists: this.tiddlerExists(title)
				}
				// Update indexes
				this.clearCache(title);
				this.clearGlobalCache();
				$tw.utils.each(indexers,function(indexer) {
					indexer.update(updateDescriptor);
				});
				// Queue a change event
				this.enqueueTiddlerEvent(title);
			}
		}
	};

	// Delete a tiddler
	this.deleteTiddler = function(title) {
// Uncomment the following line for detailed logs of all tiddler deletions
// console.log("Deleting",title)
		if($tw.utils.hop(tiddlers,title)) {
			// Record the old tiddler state
			var updateDescriptor = {
				old: {
					tiddler: this.getTiddler(title),
					shadow: this.isShadowTiddler(title),
					exists: this.tiddlerExists(title)
				}
			}
			// Delete the tiddler
			delete tiddlers[title];
			// Delete it from the list of titles
			if(tiddlerTitles) {
				var index = tiddlerTitles.indexOf(title);
				if(index !== -1) {
					tiddlerTitles.splice(index,1);
				}
			}
			// Record the new tiddler state
			updateDescriptor["new"] = {
				tiddler: this.getTiddler(title),
				shadow: this.isShadowTiddler(title),
				exists: this.tiddlerExists(title)
			}
			// Update indexes
			this.clearCache(title);
			this.clearGlobalCache();
			$tw.utils.each(indexers,function(indexer) {
				indexer.update(updateDescriptor);
			});
			// Queue a change event
			this.enqueueTiddlerEvent(title,true);
		}
	};

	// Get a tiddler from the store
	this.getTiddler = function(title) {
		if(title) {
			var t = tiddlers[title];
			if(t !== undefined) {
				return t;
			} else {
				var s = shadowTiddlers[title];
				if(s !== undefined) {
					return s.tiddler;
				}
			}
		}
		return undefined;
	};

	// Get an array of all tiddler titles
	this.allTitles = function() {
		return getTiddlerTitles().slice(0);
	};

	// Iterate through all tiddler titles
	this.each = function(callback) {
		var titles = getTiddlerTitles(),
			index,titlesLength,title;
		for(index = 0, titlesLength = titles.length; index < titlesLength; index++) {
			title = titles[index];
			callback(tiddlers[title],title);
		}
	};

	// Get an array of all shadow tiddler titles
	this.allShadowTitles = function() {
		return getShadowTiddlerTitles().slice(0);
	};

	// Iterate through all shadow tiddler titles
	this.eachShadow = function(callback) {
		var titles = getShadowTiddlerTitles(),
			index,titlesLength,title;
		for(index = 0, titlesLength = titles.length; index < titlesLength; index++) {
			title = titles[index];
			if(tiddlers[title]) {
				callback(tiddlers[title],title);
			} else {
				var shadowInfo = shadowTiddlers[title];
				callback(shadowInfo.tiddler,title);
			}
		}
	};

	// Iterate through all tiddlers and then the shadows
	this.eachTiddlerPlusShadows = function(callback) {
		var index,titlesLength,title,
			titles = getTiddlerTitles();
		for(index = 0, titlesLength = titles.length; index < titlesLength; index++) {
			title = titles[index];
			callback(tiddlers[title],title);
		}
		titles = getShadowTiddlerTitles();
		for(index = 0, titlesLength = titles.length; index < titlesLength; index++) {
			title = titles[index];
			if(!tiddlers[title]) {
				var shadowInfo = shadowTiddlers[title];
				callback(shadowInfo.tiddler,title);
			}
		}
	};

	// Iterate through all the shadows and then the tiddlers
	this.eachShadowPlusTiddlers = function(callback) {
		var index,titlesLength,title,
			titles = getShadowTiddlerTitles();
		for(index = 0, titlesLength = titles.length; index < titlesLength; index++) {
			title = titles[index];
			if(tiddlers[title]) {
				callback(tiddlers[title],title);
			} else {
				var shadowInfo = shadowTiddlers[title];
				callback(shadowInfo.tiddler,title);
			}
		}
		titles = getTiddlerTitles();
		for(index = 0, titlesLength = titles.length; index < titlesLength; index++) {
			title = titles[index];
			if(!shadowTiddlers[title]) {
				callback(tiddlers[title],title);
			}
		}
	};

	// Test for the existence of a tiddler (excludes shadow tiddlers)
	this.tiddlerExists = function(title) {
		return !!$tw.utils.hop(tiddlers,title);
	};

	// Determines if a tiddler is a shadow tiddler, regardless of whether it has been overridden by a real tiddler
	this.isShadowTiddler = function(title) {
		return $tw.utils.hop(shadowTiddlers,title);
	};

	this.getShadowSource = function(title) {
		if($tw.utils.hop(shadowTiddlers,title)) {
			return shadowTiddlers[title].source;
		}
		return null;
	};

	// Get an array of all the currently recognised plugin types
	this.getPluginTypes = function() {
		var types = [];
		$tw.utils.each(pluginTiddlers,function(pluginTiddler) {
			var pluginType = pluginTiddler.fields["plugin-type"];
			if(pluginType && types.indexOf(pluginType) === -1) {
				types.push(pluginType);
			}
		});
		return types;
	};

	// Read plugin info for all plugins, or just an array of titles. Returns the number of plugins updated or deleted
	this.readPluginInfo = function(titles) {
		var results = {
			modifiedPlugins: [],
			deletedPlugins: []
		};
		$tw.utils.each(titles || getTiddlerTitles(),function(title) {
			var tiddler = tiddlers[title];
			if(tiddler) {
				if(tiddler.fields.type === "application/json" && tiddler.hasField("plugin-type") && tiddler.fields.text) {
					pluginInfo[tiddler.fields.title] = $tw.utils.parseJSONSafe(tiddler.fields.text);
					results.modifiedPlugins.push(tiddler.fields.title);
				}
			} else {
				if(pluginInfo[title]) {
					delete pluginInfo[title];
					results.deletedPlugins.push(title);
				}
			}
		});
		return results;
	};

	// Get plugin info for a plugin
	this.getPluginInfo = function(title) {
		return pluginInfo[title];
	};

	// Register the plugin tiddlers of a particular type, or null/undefined for any type, optionally restricting registration to an array of tiddler titles. Return the array of titles affected
	this.registerPluginTiddlers = function(pluginType,titles) {
		var self = this,
			registeredTitles = [],
			checkTiddler = function(tiddler,title) {
				if(tiddler && tiddler.fields.type === "application/json" && tiddler.fields["plugin-type"] && (!pluginType || tiddler.fields["plugin-type"] === pluginType)) {
					var disablingTiddler = self.getTiddler("$:/config/Plugins/Disabled/" + title);
					if(title === "$:/core" || !disablingTiddler || (disablingTiddler.fields.text || "").trim() !== "yes") {
						self.unregisterPluginTiddlers(null,[title]); // Unregister the plugin if it's already registered
						pluginTiddlers.push(tiddler);
						registeredTitles.push(tiddler.fields.title);
					}
				}
			};
		if(titles) {
			$tw.utils.each(titles,function(title) {
				checkTiddler(self.getTiddler(title),title);
			});
		} else {
			this.each(function(tiddler,title) {
				checkTiddler(tiddler,title);
			});
		}
		return registeredTitles;
	};

	// Unregister the plugin tiddlers of a particular type, or null/undefined for any type, optionally restricting unregistering to an array of tiddler titles. Returns an array of the titles affected
	this.unregisterPluginTiddlers = function(pluginType,titles) {
		var self = this,
			unregisteredTitles = [];
		// Remove any previous registered plugins of this type
		for(var t=pluginTiddlers.length-1; t>=0; t--) {
			var tiddler = pluginTiddlers[t];
			if(tiddler.fields["plugin-type"] && (!pluginType || tiddler.fields["plugin-type"] === pluginType) && (!titles || titles.indexOf(tiddler.fields.title) !== -1)) {
				unregisteredTitles.push(tiddler.fields.title);
				pluginTiddlers.splice(t,1);
			}
		}
		return unregisteredTitles;
	};

	// Unpack the currently registered plugins, creating shadow tiddlers for their constituent tiddlers
	this.unpackPluginTiddlers = function() {
		var self = this;
		// Sort the plugin titles by the `plugin-priority` field
		pluginTiddlers.sort(function(a,b) {
			if("plugin-priority" in a.fields && "plugin-priority" in b.fields) {
				return a.fields["plugin-priority"] - b.fields["plugin-priority"];
			} else if("plugin-priority" in a.fields) {
				return -1;
			} else if("plugin-priority" in b.fields) {
				return +1;
			} else if(a.fields.title < b.fields.title) {
				return -1;
			} else if(a.fields.title === b.fields.title) {
				return 0;
			} else {
				return +1;
			}
		});
		// Now go through the plugins in ascending order and assign the shadows
		shadowTiddlers = Object.create(null);
		$tw.utils.each(pluginTiddlers,function(tiddler) {
			// Extract the constituent tiddlers
			if($tw.utils.hop(pluginInfo,tiddler.fields.title)) {
				$tw.utils.each(pluginInfo[tiddler.fields.title].tiddlers,function(constituentTiddler,constituentTitle) {
					// Save the tiddler object
					if(constituentTitle) {
						shadowTiddlers[constituentTitle] = {
							source: tiddler.fields.title,
							tiddler: new $tw.Tiddler(constituentTiddler,{title: constituentTitle})
						};
					}
				});
			}
		});
		shadowTiddlerTitles = null;
		this.clearCache(null);
		this.clearGlobalCache();
		$tw.utils.each(indexers,function(indexer) {
			indexer.rebuild();
		});
	};

	if(this.addIndexersToWiki) {
		this.addIndexersToWiki();
	}
};

// Dummy methods that will be filled in after boot
$tw.Wiki.prototype.clearCache =
$tw.Wiki.prototype.clearGlobalCache =
$tw.Wiki.prototype.enqueueTiddlerEvent = function() {};

// Add an array of tiddlers
$tw.Wiki.prototype.addTiddlers = function(tiddlers) {
	for(var t=0; t<tiddlers.length; t++) {
		this.addTiddler(tiddlers[t]);
	}
};

/*
Define all modules stored in ordinary tiddlers
*/
$tw.Wiki.prototype.defineTiddlerModules = function() {
	this.each(function(tiddler,title) {
		if(tiddler.hasField("module-type")) {
			switch (tiddler.fields.type) {
				case "application/javascript":
					// We only define modules that haven't already been defined, because in the browser modules in system tiddlers are defined in inline script
					if(!$tw.utils.hop($tw.modules.titles,tiddler.fields.title)) {
						$tw.modules.define(tiddler.fields.title,tiddler.fields["module-type"],tiddler.fields.text);
					}
					break;
				case "application/json":
					$tw.modules.define(tiddler.fields.title,tiddler.fields["module-type"],$tw.utils.parseJSONSafe(tiddler.fields.text));
					break;
				case "application/x-tiddler-dictionary":
					$tw.modules.define(tiddler.fields.title,tiddler.fields["module-type"],$tw.utils.parseFields(tiddler.fields.text));
					break;
			}
		}
	});
};

/*
Register all the module tiddlers that have a module type
*/
$tw.Wiki.prototype.defineShadowModules = function() {
	var self = this;
	this.eachShadow(function(tiddler,title) {
		// Don't define the module if it is overidden by an ordinary tiddler
		if(!self.tiddlerExists(title) && tiddler.hasField("module-type")) {
			// Define the module
			$tw.modules.define(tiddler.fields.title,tiddler.fields["module-type"],tiddler.fields.text);
		}
	});
};

/*
Enable safe mode by deleting any tiddlers that override a shadow tiddler
*/
$tw.Wiki.prototype.processSafeMode = function() {
	var self = this,
		overrides = [];
	// Find the overriding tiddlers
	this.each(function(tiddler,title) {
		if(self.isShadowTiddler(title)) {
			console.log(title);
			overrides.push(title);
		}
	});
	// Assemble a report tiddler
	var titleReportTiddler = "TiddlyWiki Safe Mode",
		report = [];
	report.push("TiddlyWiki has been started in [[safe mode|https://tiddlywiki.com/static/SafeMode.html]]. All plugins are temporarily disabled. Most customisations have been disabled by renaming the following tiddlers:")
	// Delete the overrides
	overrides.forEach(function(title) {
		var tiddler = self.getTiddler(title),
			newTitle = "SAFE: " + title;
		self.deleteTiddler(title);
		self.addTiddler(new $tw.Tiddler(tiddler, {title: newTitle}));
		report.push("* [[" + title + "|" + newTitle + "]]");
	});
	report.push()
	this.addTiddler(new $tw.Tiddler({title: titleReportTiddler, text: report.join("\n\n")}));
	// Set $:/DefaultTiddlers to point to our report
	this.addTiddler(new $tw.Tiddler({title: "$:/DefaultTiddlers", text: "[[" + titleReportTiddler + "]]"}));
};

/*
Extracts tiddlers from a typed block of text, specifying default field values
*/
$tw.Wiki.prototype.deserializeTiddlers = function(type,text,srcFields,options) {
	srcFields = srcFields || Object.create(null);
	options = options || {};
	var deserializer = $tw.Wiki.tiddlerDeserializerModules[options.deserializer],
		fields = Object.create(null);
	if(!deserializer) {
		deserializer = $tw.Wiki.tiddlerDeserializerModules[type];
	}
	if(!deserializer && $tw.utils.getFileExtensionInfo(type)) {
		// If we didn't find the serializer, try converting it from an extension to a content type
		type = $tw.utils.getFileExtensionInfo(type).type;
		deserializer = $tw.Wiki.tiddlerDeserializerModules[type];
	}
	if(!deserializer && $tw.config.contentTypeInfo[type]) {
		// see if this type has a different deserializer registered with it
		type = $tw.config.contentTypeInfo[type].deserializerType;
		deserializer = $tw.Wiki.tiddlerDeserializerModules[type];
	}
	if(!deserializer) {
		// If we still don't have a deserializer, treat it as plain text
		deserializer = $tw.Wiki.tiddlerDeserializerModules["text/plain"];
	}
	for(var f in srcFields) {
		fields[f] = srcFields[f];
	}
	if(deserializer) {
		return deserializer.call(this,text,fields,type);
	} else {
		// Return a raw tiddler for unknown types
		fields.text = text;
		return [fields];
	}
};

/*
Register the built in tiddler deserializer modules
*/
var deserializeHeaderComment = function(text,fields) {
		var headerCommentRegExp = new RegExp($tw.config.jsModuleHeaderRegExpString,"mg"),
			match = headerCommentRegExp.exec(text);
		fields.text = text;
		if(match) {
			fields = $tw.utils.parseFields(match[1].split(/\r?\n\r?\n/mg)[0],fields);
		}
		return [fields];
	};
$tw.modules.define("$:/boot/tiddlerdeserializer/js","tiddlerdeserializer",{
	"application/javascript": deserializeHeaderComment
});
$tw.modules.define("$:/boot/tiddlerdeserializer/css","tiddlerdeserializer",{
	"text/css": deserializeHeaderComment
});
$tw.modules.define("$:/boot/tiddlerdeserializer/tid","tiddlerdeserializer",{
	"application/x-tiddler": function(text,fields) {
		var split = text.split(/\r?\n\r?\n/mg);
		if(split.length >= 1) {
			fields = $tw.utils.parseFields(split[0],fields);
		}
		if(split.length >= 2) {
			fields.text = split.slice(1).join("\n\n");
		}
		return [fields];
	}
});
$tw.modules.define("$:/boot/tiddlerdeserializer/tids","tiddlerdeserializer",{
	"application/x-tiddlers": function(text,fields) {
		var titles = [],
			tiddlers = [],
			match = /\r?\n\r?\n/mg.exec(text);
		if(match) {
			fields = $tw.utils.parseFields(text.substr(0,match.index),fields);
			var lines = text.substr(match.index + match[0].length).split(/\r?\n/mg);
			for(var t=0; t<lines.length; t++) {
				var line = lines[t];
				if(line.charAt(0) !== "#") {
					var colonPos= line.indexOf(":");
					if(colonPos !== -1) {
						var tiddler = $tw.utils.extend(Object.create(null),fields);
						tiddler.title = (tiddler.title || "") + line.substr(0,colonPos).trim();
						if(titles.indexOf(tiddler.title) !== -1) {
							console.log("Warning: .multids file contains multiple definitions for " + tiddler.title);
						}
						titles.push(tiddler.title);
						tiddler.text = line.substr(colonPos + 2).trim();
						tiddlers.push(tiddler);
					}
				}
			}
		}
		return tiddlers;
	}
});
$tw.modules.define("$:/boot/tiddlerdeserializer/txt","tiddlerdeserializer",{
	"text/plain": function(text,fields,type) {
		fields.text = text;
		fields.type = type || "text/plain";
		return [fields];
	}
});
$tw.modules.define("$:/boot/tiddlerdeserializer/html","tiddlerdeserializer",{
	"text/html": function(text,fields) {
		fields.text = text;
		fields.type = "text/html";
		return [fields];
	}
});
$tw.modules.define("$:/boot/tiddlerdeserializer/json","tiddlerdeserializer",{
	"application/json": function(text,fields) {
		var isTiddlerValid = function(data) {
				// Not valid if it's not an object with a title property
				if(typeof(data) !== "object" || !$tw.utils.hop(data,"title")) {
					return false;
				}
				for(var f in data) {
					if($tw.utils.hop(data,f)) {
						// Check field name doesn't contain control characters
						if(typeof(data[f]) !== "string" || /[\x00-\x1F]/.test(f)) {
							return false;
						}
					}
				}
				return true;
			},
			isTiddlerArrayValid = function(data) {
				for(var t=0; t<data.length; t++) {
					if(!isTiddlerValid(data[t])) {
						return false;
					}
				}
				return true;
			},
			data = $tw.utils.parseJSONSafe(text);
		if($tw.utils.isArray(data) && isTiddlerArrayValid(data)) {
			return data;
		} else if(isTiddlerValid(data)) {
			return [data];
		} else {
			// Plain JSON file
			fields.text = text;
			fields.type = "application/json";
			return [fields];
		}
	}
});

/////////////////////////// Browser definitions

if($tw.browser && !$tw.node) {

/*
Decrypt any tiddlers stored within the element with the ID "encryptedArea". The function is asynchronous to allow the user to be prompted for a password
	callback: function to be called the decryption is complete
*/
$tw.boot.decryptEncryptedTiddlers = function(callback) {
	var encryptedArea = document.getElementById("encryptedStoreArea");
	if(encryptedArea) {
		var encryptedText = encryptedArea.innerHTML,
			prompt = "Enter a password to decrypt this TiddlyWiki";
		// Prompt for the password
		if($tw.utils.hop($tw.boot,"encryptionPrompts")) {
			prompt = $tw.boot.encryptionPrompts.decrypt;
		}
		$tw.passwordPrompt.createPrompt({
			serviceName: prompt,
			noUserName: true,
			submitText: "Decrypt",
			callback: function(data) {
				// Attempt to decrypt the tiddlers
				$tw.crypto.setPassword(data.password);
				var decryptedText = $tw.crypto.decrypt(encryptedText);
				if(decryptedText) {
					var json = $tw.utils.parseJSONSafe(decryptedText);
					for(var title in json) {
						$tw.preloadTiddler(json[title]);
					}
					// Call the callback
					callback();
					// Exit and remove the password prompt
					return true;
				} else {
					// We didn't decrypt everything, so continue to prompt for password
					return false;
				}
			}
		});
	} else {
		// Just invoke the callback straight away if there weren't any encrypted tiddlers
		callback();
	}
};

/*
Register a deserializer that can extract tiddlers from the DOM
*/
$tw.modules.define("$:/boot/tiddlerdeserializer/dom","tiddlerdeserializer",{
	"(DOM)": function(node) {
		var extractTextTiddlers = function(node) {
				var e = node.firstChild;
				while(e && e.nodeName.toLowerCase() !== "pre") {
					e = e.nextSibling;
				}
				var title = node.getAttribute ? node.getAttribute("title") : null;
				if(e && title) {
					var attrs = node.attributes,
						tiddler = {
							text: $tw.utils.htmlDecode(e.innerHTML)
						};
					for(var i=attrs.length-1; i >= 0; i--) {
						tiddler[attrs[i].name] = attrs[i].value;
					}
					return [tiddler];
				} else {
					return null;
				}
			},
			extractModuleTiddlers = function(node) {
				if(node.hasAttribute && node.hasAttribute("data-tiddler-title")) {
					var text = node.innerHTML,
						s = text.indexOf("{"),
						e = text.lastIndexOf("}");
					if(node.hasAttribute("data-module") && s !== -1 && e !== -1) {
						text = text.substring(s+1,e);
					}
					var fields = {text: text},
						attributes = node.attributes;
					for(var a=0; a<attributes.length; a++) {
						if(attributes[a].nodeName.substr(0,13) === "data-tiddler-") {
							fields[attributes[a].nodeName.substr(13)] = attributes[a].value;
						}
					}
					return [fields];
				} else {
					return null;
				}
			},
			t,result = [];
		if(node) {
			var type = (node.getAttribute && node.getAttribute("type")) || null;
			if(type) {
				// A new-style container with an explicit deserialization type
				result = $tw.wiki.deserializeTiddlers(type,node.textContent);
			} else {
				// An old-style container of classic DIV-based tiddlers
				for(t = 0; t < node.childNodes.length; t++) {
					var childNode = node.childNodes[t],
						tiddlers = extractTextTiddlers(childNode);
					tiddlers = tiddlers || extractModuleTiddlers(childNode);
					if(tiddlers) {
						result.push.apply(result,tiddlers);
					}
				}
			}
		}
		return result;
	}
});

$tw.loadTiddlersBrowser = function() {
	// In the browser, we load tiddlers from certain elements
	var containerSelectors = [
		// IDs for old-style v5.1.x tiddler stores
		"#libraryModules",
		"#modules",
		"#bootKernelPrefix",
		"#bootKernel",
		"#styleArea",
		"#storeArea",
		"#systemArea",
		// Classes for new-style v5.2.x JSON tiddler stores
		"script.tiddlywiki-tiddler-store"
	];
	for(var t=0; t<containerSelectors.length; t++) {
		var nodes = document.querySelectorAll(containerSelectors[t]);
		for(var n=0; n<nodes.length; n++) {
			$tw.wiki.addTiddlers($tw.wiki.deserializeTiddlers("(DOM)",nodes[n]));
		}
	}
};

} else {

/////////////////////////// Server definitions

/*
Get any encrypted tiddlers
*/
$tw.boot.decryptEncryptedTiddlers = function(callback) {
	// Storing encrypted tiddlers on the server isn't supported yet
	callback();
};

} // End of if($tw.browser && !$tw.node)

/////////////////////////// Node definitions

if($tw.node) {

/*
Load the tiddlers contained in a particular file (and optionally extract fields from the accompanying .meta file) returned as {filepath:,type:,tiddlers:[],hasMetaFile:}
*/
$tw.loadTiddlersFromFile = function(filepath,fields) {
	var ext = path.extname(filepath),
		extensionInfo = $tw.utils.getFileExtensionInfo(ext),
		type = extensionInfo ? extensionInfo.type : null,
		typeInfo = type ? $tw.config.contentTypeInfo[type] : null,
		data = fs.readFileSync(filepath,typeInfo ? typeInfo.encoding : "utf8"),
		tiddlers = $tw.wiki.deserializeTiddlers(ext,data,fields),
		metadata = $tw.loadMetadataForFile(filepath);
	if(metadata) {
		if(type === "application/json") {
			tiddlers = [{text: data, type: "application/json"}];
		}
		tiddlers = [$tw.utils.extend({},tiddlers[0],metadata)];
	}
	return {filepath: filepath, type: type, tiddlers: tiddlers, hasMetaFile: !!metadata};
};

/*
Load the metadata fields in the .meta file corresponding to a particular file
*/
$tw.loadMetadataForFile = function(filepath) {
	var metafilename = filepath + ".meta";
	if(fs.existsSync(metafilename)) {
		return $tw.utils.parseFields(fs.readFileSync(metafilename,"utf8") || "");
	} else {
		return null;
	}
};

/*
A default set of files for TiddlyWiki to ignore during load.
This matches what NPM ignores, and adds "*.meta" to ignore tiddler
metadata files.
*/
$tw.boot.excludeRegExp = /^\.DS_Store$|^.*\.meta$|^\..*\.swp$|^\._.*$|^\.git$|^\.github$|^\.vscode$|^\.hg$|^\.lock-wscript$|^\.svn$|^\.wafpickle-.*$|^CVS$|^npm-debug\.log$/;

/*
Load all the tiddlers recursively from a directory, including honouring `tiddlywiki.files` files for drawing in external files. Returns an array of {filepath:,type:,tiddlers: [{..fields...}],hasMetaFile:}. Note that no file information is returned for externally loaded tiddlers, just the `tiddlers` property.
*/
$tw.loadTiddlersFromPath = function(filepath,excludeRegExp) {
	excludeRegExp = excludeRegExp || $tw.boot.excludeRegExp;
	var tiddlers = [];
	if(fs.existsSync(filepath)) {
		var stat = fs.statSync(filepath);
		if(stat.isDirectory()) {
			var files = fs.readdirSync(filepath);
			// Look for a tiddlywiki.files file
			if(files.indexOf("tiddlywiki.files") !== -1) {
				Array.prototype.push.apply(tiddlers,$tw.loadTiddlersFromSpecification(filepath,excludeRegExp));
			} else {
				// If not, read all the files in the directory
				$tw.utils.each(files,function(file) {
					if(!excludeRegExp.test(file) && file !== "plugin.info") {
						tiddlers.push.apply(tiddlers,$tw.loadTiddlersFromPath(filepath + path.sep + file,excludeRegExp));
					}
				});
			}
		} else if(stat.isFile()) {
			tiddlers.push($tw.loadTiddlersFromFile(filepath,{title: filepath}));
		}
	}
	return tiddlers;
};

/*
Load all the tiddlers defined by a `tiddlywiki.files` specification file
filepath: pathname of the directory containing the specification file
*/
$tw.loadTiddlersFromSpecification = function(filepath,excludeRegExp) {
	var tiddlers = [];
	// Read the specification
	var filesInfo = $tw.utils.parseJSONSafe(fs.readFileSync(filepath + path.sep + "tiddlywiki.files","utf8"));
	// Helper to process a file
	var processFile = function(filename,isTiddlerFile,fields,isEditableFile,rootPath) {
		var extInfo = $tw.config.fileExtensionInfo[path.extname(filename)],
			type = (extInfo || {}).type || fields.type || "text/plain",
			typeInfo = $tw.config.contentTypeInfo[type] || {},
			pathname = path.resolve(filepath,filename),
			text = fs.readFileSync(pathname,typeInfo.encoding || "utf8"),
			metadata = $tw.loadMetadataForFile(pathname) || {},
			fileTiddlers;
		if(isTiddlerFile) {
			fileTiddlers = $tw.wiki.deserializeTiddlers(path.extname(pathname),text,metadata) || [];
		} else {
			fileTiddlers =  [$tw.utils.extend({text: text},metadata)];
		}
		var combinedFields = $tw.utils.extend({},fields,metadata);
		$tw.utils.each(fileTiddlers,function(tiddler) {
			$tw.utils.each(combinedFields,function(fieldInfo,name) {
				if(typeof fieldInfo === "string" || $tw.utils.isArray(fieldInfo)) {
					tiddler[name] = fieldInfo;
				} else {
					var value = tiddler[name];
					switch(fieldInfo.source) {
						case "subdirectories":
							value = path.relative(rootPath, filename).split('/').slice(0, -1);
							break;
						case "filepath":
							value = path.relative(rootPath, filename);
							break;
						case "filename":
							value = path.basename(filename);
							break;
						case "filename-uri-decoded":
							value = $tw.utils.decodeURIComponentSafe(path.basename(filename));
							break;
						case "basename":
							value = path.basename(filename,path.extname(filename));
							break;
						case "basename-uri-decoded":
							value = $tw.utils.decodeURIComponentSafe(path.basename(filename,path.extname(filename)));
							break;
						case "extname":
							value = path.extname(filename);
							break;
						case "created":
							value = new Date(fs.statSync(pathname).birthtime);
							break;
						case "modified":
							value = new Date(fs.statSync(pathname).mtime);
							break;
					}
					if(fieldInfo.prefix) {
						value = fieldInfo.prefix + value;
					}
					if(fieldInfo.suffix) {
						value = value + fieldInfo.suffix;
					}
					tiddler[name] = value;
				}
			});
		});
		if(isEditableFile) {
			tiddlers.push({filepath: pathname, hasMetaFile: !!metadata && !isTiddlerFile, isEditableFile: true, tiddlers: fileTiddlers});
		} else {
			tiddlers.push({tiddlers: fileTiddlers});
		}
	};
	// Helper to recursively search subdirectories
	var getAllFiles = function(dirPath, recurse, arrayOfFiles) {
		recurse = recurse || false;
		arrayOfFiles = arrayOfFiles || [];
		var files = fs.readdirSync(dirPath);
		files.forEach(function(file) {
			if (recurse && fs.statSync(dirPath + path.sep + file).isDirectory()) {
				arrayOfFiles = getAllFiles(dirPath + path.sep + file, recurse, arrayOfFiles);
			} else if(fs.statSync(dirPath + path.sep + file).isFile()){
				arrayOfFiles.push(path.join(dirPath, path.sep, file));
			}
		});
		return arrayOfFiles;
	}
	// Process the listed tiddlers
	$tw.utils.each(filesInfo.tiddlers,function(tidInfo) {
		if(tidInfo.prefix && tidInfo.suffix) {
			tidInfo.fields.text = {prefix: tidInfo.prefix,suffix: tidInfo.suffix};
		} else if(tidInfo.prefix) {
			tidInfo.fields.text = {prefix: tidInfo.prefix};
		} else if(tidInfo.suffix) {
			tidInfo.fields.text = {suffix: tidInfo.suffix};
		}
		processFile(tidInfo.file,tidInfo.isTiddlerFile,tidInfo.fields);
	});
	// Process any listed directories
	$tw.utils.each(filesInfo.directories,function(dirSpec) {
		// Read literal directories directly
		if(typeof dirSpec === "string") {
			var pathname = path.resolve(filepath,dirSpec);
			if(fs.existsSync(pathname) && fs.statSync(pathname).isDirectory()) {
				tiddlers.push.apply(tiddlers,$tw.loadTiddlersFromPath(pathname,excludeRegExp));
			}
		} else {
			// Process directory specifier
			var dirPath = path.resolve(filepath,dirSpec.path);
			if(fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory()) {
				var	files = getAllFiles(dirPath, dirSpec.searchSubdirectories),
					fileRegExp = new RegExp(dirSpec.filesRegExp || "^.*$"),
					metaRegExp = /^.*\.meta$/;
				for(var t=0; t<files.length; t++) {
					var thisPath = path.relative(filepath, files[t]),
					filename = path.basename(thisPath);
					if(filename !== "tiddlywiki.files" && !metaRegExp.test(filename) && fileRegExp.test(filename)) {
						processFile(thisPath,dirSpec.isTiddlerFile,dirSpec.fields,dirSpec.isEditableFile,dirSpec.path);
					}
				}
			} else {
				console.log("Warning: a directory in a tiddlywiki.files file does not exist.");
				console.log("dirPath: " + dirPath);
				console.log("tiddlywiki.files location: " + filepath);
			}
		}
	});
	return tiddlers;
};

/*
Load the tiddlers from a plugin folder, and package them up into a proper JSON plugin tiddler
*/
$tw.loadPluginFolder = function(filepath,excludeRegExp) {
	excludeRegExp = excludeRegExp || $tw.boot.excludeRegExp;
	var infoPath = filepath + path.sep + "plugin.info";
	if(fs.existsSync(filepath) && fs.statSync(filepath).isDirectory()) {
		// Read the plugin information
		if(!fs.existsSync(infoPath) || !fs.statSync(infoPath).isFile()) {
			console.log("Warning: missing plugin.info file in " + filepath);
			return null;
		}
		var pluginInfo = $tw.utils.parseJSONSafe(fs.readFileSync(infoPath,"utf8"),function() {return null;});
		if(!pluginInfo) {
			console.log("warning: invalid JSON in plugin.info file at " + infoPath);
			pluginInfo = {};
		}
		// Read the plugin files
		var pluginFiles = $tw.loadTiddlersFromPath(filepath,excludeRegExp);
		// Save the plugin tiddlers into the plugin info
		pluginInfo.tiddlers = pluginInfo.tiddlers || Object.create(null);
		for(var f=0; f<pluginFiles.length; f++) {
			var tiddlers = pluginFiles[f].tiddlers;
			for(var t=0; t<tiddlers.length; t++) {
				var tiddler= tiddlers[t];
				if(tiddler.title) {
					pluginInfo.tiddlers[tiddler.title] = tiddler;
				}
			}
		}
		// Give the plugin the same version number as the core if it doesn't have one
		if(!("version" in pluginInfo)) {
			pluginInfo.version = $tw.packageInfo.version;
		}
		// Use "plugin" as the plugin-type if we don't have one
		if(!("plugin-type" in pluginInfo)) {
			pluginInfo["plugin-type"] = "plugin";
		}
		pluginInfo.dependents = pluginInfo.dependents || [];
		pluginInfo.type = "application/json";
		// Set plugin text
		pluginInfo.text = JSON.stringify({tiddlers: pluginInfo.tiddlers});
		delete pluginInfo.tiddlers;
		// Deserialise array fields (currently required for the dependents field)
		for(var field in pluginInfo) {
			if($tw.utils.isArray(pluginInfo[field])) {
				pluginInfo[field] = $tw.utils.stringifyList(pluginInfo[field]);
			}
		}
		return pluginInfo;
	} else {
			return null;
	}
};

/*
name: Name of the plugin to find
paths: array of file paths to search for it
Returns the path of the plugin folder
*/
$tw.findLibraryItem = function(name,paths) {
	var pathIndex = 0;
	do {
		var pluginPath = path.resolve(paths[pathIndex],"./" + name)
		if(fs.existsSync(pluginPath) && fs.statSync(pluginPath).isDirectory()) {
			return pluginPath;
		}
	} while(++pathIndex < paths.length);
	return null;
};

/*
name: Name of the plugin to load
paths: array of file paths to search for it
*/
$tw.loadPlugin = function(name,paths) {
	var pluginPath = $tw.findLibraryItem(name,paths);
	if(pluginPath) {
		var pluginFields = $tw.loadPluginFolder(pluginPath);
		if(pluginFields) {
			$tw.wiki.addTiddler(pluginFields);
			return;
		}
	}
	console.log("Warning: Cannot find plugin '" + name + "'");
};

/*
libraryPath: Path of library folder for these plugins (relative to core path)
envVar: Environment variable name for these plugins
Returns an array of search paths
*/
$tw.getLibraryItemSearchPaths = function(libraryPath,envVar) {
	var pluginPaths = [path.resolve($tw.boot.corePath,libraryPath)],
		env = process.env[envVar];
	if(env) {
		env.split(path.delimiter).map(function(item) {
			if(item) {
				pluginPaths.push(item);
			}
		});
	}
	return pluginPaths;
};

/*
plugins: Array of names of plugins (eg, "tiddlywiki/filesystemadaptor")
libraryPath: Path of library folder for these plugins (relative to core path)
envVar: Environment variable name for these plugins
*/
$tw.loadPlugins = function(plugins,libraryPath,envVar) {
	if(plugins) {
		var pluginPaths = $tw.getLibraryItemSearchPaths(libraryPath,envVar);
		for(var t=0; t<plugins.length; t++) {
			$tw.loadPlugin(plugins[t],pluginPaths);
		}
	}
};

/*
path: path of wiki directory
options:
	parentPaths: array of parent paths that we mustn't recurse into
	readOnly: true if the tiddler file paths should not be retained
*/
$tw.loadWikiTiddlers = function(wikiPath,options) {
	options = options || {};
	var parentPaths = options.parentPaths || [],
		wikiInfoPath = path.resolve(wikiPath,$tw.config.wikiInfo),
		wikiInfo,
		pluginFields;
	// Bail if we don't have a wiki info file
	if(fs.existsSync(wikiInfoPath)) {
		wikiInfo = $tw.utils.parseJSONSafe(fs.readFileSync(wikiInfoPath,"utf8"),function() {return null;});
		if(!wikiInfo) {
			console.log("warning: invalid JSON in tiddlywiki.info file at " + wikiInfoPath);
			wikiInfo = {};
		}
	} else {
		return null;
	}
	// Save the path to the tiddlers folder for the filesystemadaptor
	var config = wikiInfo.config || {};
	if($tw.boot.wikiPath == wikiPath) {
		$tw.boot.wikiTiddlersPath = path.resolve($tw.boot.wikiPath,config["default-tiddler-location"] || $tw.config.wikiTiddlersSubDir);
	}
	// Load any parent wikis
	if(wikiInfo.includeWikis) {
		parentPaths = parentPaths.slice(0);
		parentPaths.push(wikiPath);
		$tw.utils.each(wikiInfo.includeWikis,function(info) {
			if(typeof info === "string") {
				info = {path: info};
			}
			var resolvedIncludedWikiPath = path.resolve(wikiPath,info.path);
			if(parentPaths.indexOf(resolvedIncludedWikiPath) === -1) {
				var subWikiInfo = $tw.loadWikiTiddlers(resolvedIncludedWikiPath,{
					parentPaths: parentPaths,
					readOnly: info["read-only"]
				});
				// Merge the build targets
				wikiInfo.build = $tw.utils.extend([],subWikiInfo.build,wikiInfo.build);
			} else {
				$tw.utils.error("Cannot recursively include wiki " + resolvedIncludedWikiPath);
			}
		});
	}
	// Load any plugins, themes and languages listed in the wiki info file
	$tw.loadPlugins(wikiInfo.plugins,$tw.config.pluginsPath,$tw.config.pluginsEnvVar);
	$tw.loadPlugins(wikiInfo.themes,$tw.config.themesPath,$tw.config.themesEnvVar);
	$tw.loadPlugins(wikiInfo.languages,$tw.config.languagesPath,$tw.config.languagesEnvVar);
	// Load the wiki files, registering them as writable
	var resolvedWikiPath = path.resolve(wikiPath,$tw.config.wikiTiddlersSubDir);
	$tw.utils.each($tw.loadTiddlersFromPath(resolvedWikiPath),function(tiddlerFile) {
		if(!options.readOnly && tiddlerFile.filepath) {
			$tw.utils.each(tiddlerFile.tiddlers,function(tiddler) {
				$tw.boot.files[tiddler.title] = {
					filepath: tiddlerFile.filepath,
					type: tiddlerFile.type,
					hasMetaFile: tiddlerFile.hasMetaFile,
					isEditableFile: config["retain-original-tiddler-path"] || tiddlerFile.isEditableFile || tiddlerFile.filepath.indexOf($tw.boot.wikiTiddlersPath) !== 0
				};
			});
		}
		$tw.wiki.addTiddlers(tiddlerFile.tiddlers);
	});
	if ($tw.boot.wikiPath == wikiPath) {
		// Save the original tiddler file locations if requested
		var output = {}, relativePath, fileInfo;
		for(var title in $tw.boot.files) {
			fileInfo = $tw.boot.files[title];
			if(fileInfo.isEditableFile) {
				relativePath = path.relative($tw.boot.wikiTiddlersPath,fileInfo.filepath);
				fileInfo.originalpath = relativePath;
				output[title] =
					path.sep === "/" ?
					relativePath :
					relativePath.split(path.sep).join("/");
			}
		}
		if(Object.keys(output).length > 0){
			$tw.wiki.addTiddler({title: "$:/config/OriginalTiddlerPaths", type: "application/json", text: JSON.stringify(output)});
		}
	}
	// Load any plugins within the wiki folder
	var wikiPluginsPath = path.resolve(wikiPath,$tw.config.wikiPluginsSubDir);
	if(fs.existsSync(wikiPluginsPath)) {
		var pluginFolders = fs.readdirSync(wikiPluginsPath);
		for(var t=0; t<pluginFolders.length; t++) {
			pluginFields = $tw.loadPluginFolder(path.resolve(wikiPluginsPath,"./" + pluginFolders[t]));
			if(pluginFields) {
				$tw.wiki.addTiddler(pluginFields);
			}
		}
	}
	// Load any themes within the wiki folder
	var wikiThemesPath = path.resolve(wikiPath,$tw.config.wikiThemesSubDir);
	if(fs.existsSync(wikiThemesPath)) {
		var themeFolders = fs.readdirSync(wikiThemesPath);
		for(var t=0; t<themeFolders.length; t++) {
			pluginFields = $tw.loadPluginFolder(path.resolve(wikiThemesPath,"./" + themeFolders[t]));
			if(pluginFields) {
				$tw.wiki.addTiddler(pluginFields);
			}
		}
	}
	// Load any languages within the wiki folder
	var wikiLanguagesPath = path.resolve(wikiPath,$tw.config.wikiLanguagesSubDir);
	if(fs.existsSync(wikiLanguagesPath)) {
		var languageFolders = fs.readdirSync(wikiLanguagesPath);
		for(var t=0; t<languageFolders.length; t++) {
			pluginFields = $tw.loadPluginFolder(path.resolve(wikiLanguagesPath,"./" + languageFolders[t]));
			if(pluginFields) {
				$tw.wiki.addTiddler(pluginFields);
			}
		}
	}
	return wikiInfo;
};

$tw.loadTiddlersNode = function() {
	// Load the boot tiddlers
	$tw.utils.each($tw.loadTiddlersFromPath($tw.boot.bootPath),function(tiddlerFile) {
		$tw.wiki.addTiddlers(tiddlerFile.tiddlers);
	});
	// Load the core tiddlers
	$tw.wiki.addTiddler($tw.loadPluginFolder($tw.boot.corePath));
	// Load any extra plugins
	$tw.utils.each($tw.boot.extraPlugins,function(name) {
		if(name.charAt(0) === "+") { // Relative path to plugin
			var pluginFields = $tw.loadPluginFolder(name.substring(1));
			if(pluginFields) {
				$tw.wiki.addTiddler(pluginFields);
			}
		} else {
			var parts = name.split("/"),
				type = parts[0];
			if(parts.length  === 3 && ["plugins","themes","languages"].indexOf(type) !== -1) {
				$tw.loadPlugins([parts[1] + "/" + parts[2]],$tw.config[type + "Path"],$tw.config[type + "EnvVar"]);
			}
		}
	});
	// Load the tiddlers from the wiki directory
	if($tw.boot.wikiPath) {
		$tw.boot.wikiInfo = $tw.loadWikiTiddlers($tw.boot.wikiPath);
	}
};

// End of if($tw.node)
}

/////////////////////////// Main startup function called once tiddlers have been decrypted

/*
Startup TiddlyWiki
*/
$tw.boot.initStartup = function(options) {
	// Get the URL hash and check for safe mode
	$tw.locationHash = "#";
	if($tw.browser && !$tw.node) {
		if(location.hash === "#:safe") {
			$tw.safeMode = true;
		} else {
			$tw.locationHash = $tw.utils.getLocationHash();
		}
	}
	// Initialise some more $tw properties
	$tw.utils.deepDefaults($tw,{
		modules: { // Information about each module
			titles: Object.create(null), // hashmap by module title of {fn:, exports:, moduleType:}
			types: {} // hashmap by module type of hashmap of exports
		},
		config: { // Configuration overridables
			pluginsPath: "../plugins/",
			themesPath: "../themes/",
			languagesPath: "../languages/",
			editionsPath: "../editions/",
			wikiInfo: "./tiddlywiki.info",
			wikiPluginsSubDir: "./plugins",
			wikiThemesSubDir: "./themes",
			wikiLanguagesSubDir: "./languages",
			wikiTiddlersSubDir: "./tiddlers",
			wikiOutputSubDir: "./output",
			jsModuleHeaderRegExpString: "^\\/\\*\\\\(?:\\r?\\n)((?:^[^\\r\\n]*(?:\\r?\\n))+?)(^\\\\\\*\\/$(?:\\r?\\n)?)",
			fileExtensionInfo: Object.create(null), // Map file extension to {type:}
			contentTypeInfo: Object.create(null), // Map type to {encoding:,extension:}
			pluginsEnvVar: "TIDDLYWIKI_PLUGIN_PATH",
			themesEnvVar: "TIDDLYWIKI_THEME_PATH",
			languagesEnvVar: "TIDDLYWIKI_LANGUAGE_PATH",
			editionsEnvVar: "TIDDLYWIKI_EDITION_PATH"
		},
		log: {}, // Log flags
		unloadTasks: []
	});
	if(!$tw.boot.tasks.readBrowserTiddlers) {
		// For writable tiddler files, a hashmap of title to {filepath:,type:,hasMetaFile:}
		$tw.boot.files = Object.create(null);
		// System paths and filenames
		$tw.boot.bootPath = options.bootPath || path.dirname(module.filename);
		$tw.boot.corePath = path.resolve($tw.boot.bootPath,"../core");
		// If there's no arguments then default to `--help`
		if($tw.boot.argv.length === 0) {
			$tw.boot.argv = ["--help"];
		}
		// Parse any extra plugin references
		$tw.boot.extraPlugins = $tw.boot.extraPlugins || [];
		while($tw.boot.argv[0] && $tw.boot.argv[0].indexOf("+") === 0) {
			$tw.boot.extraPlugins.push($tw.boot.argv[0].substring(1));
			$tw.boot.argv.splice(0,1);
		}
		// If the first command line argument doesn't start with `--` then we
		// interpret it as the path to the wiki folder, which will otherwise default
		// to the current folder
		if($tw.boot.argv[0] && $tw.boot.argv[0].indexOf("--") !== 0) {
			$tw.boot.wikiPath = $tw.boot.argv[0];
			$tw.boot.argv = $tw.boot.argv.slice(1);
		} else {
			$tw.boot.wikiPath = process.cwd();
		}
		// Read package info
		$tw.packageInfo = $tw.packageInfo || require("../package.json");
		// Check node version number
		if(!$tw.utils.checkVersions(process.version.substr(1),$tw.packageInfo.engines.node.substr(2))) {
			$tw.utils.error("TiddlyWiki5 requires node.js version " + $tw.packageInfo.engines.node);
		}
	}
	// Add file extension information
	$tw.utils.registerFileType("text/vnd.tiddlywiki","utf8",".tid");
	$tw.utils.registerFileType("application/x-tiddler","utf8",".tid");
	$tw.utils.registerFileType("application/x-tiddlers","utf8",".multids");
	$tw.utils.registerFileType("application/x-tiddler-html-div","utf8",".tiddler");
	$tw.utils.registerFileType("text/vnd.tiddlywiki2-recipe","utf8",".recipe");
	$tw.utils.registerFileType("text/plain","utf8",".txt");
	$tw.utils.registerFileType("text/css","utf8",".css");
	$tw.utils.registerFileType("text/html","utf8",[".html",".htm"]);
	$tw.utils.registerFileType("application/hta","utf16le",".hta",{deserializerType:"text/html"});
	$tw.utils.registerFileType("application/javascript","utf8",".js");
	$tw.utils.registerFileType("application/json","utf8",".json");
	$tw.utils.registerFileType("application/pdf","base64",".pdf",{flags:["image"]});
	$tw.utils.registerFileType("application/zip","base64",".zip");
	$tw.utils.registerFileType("application/x-zip-compressed","base64",".zip");
	$tw.utils.registerFileType("image/jpeg","base64",[".jpg",".jpeg"],{flags:["image"]});
	$tw.utils.registerFileType("image/jpg","base64",[".jpg",".jpeg"],{flags:["image"]});
	$tw.utils.registerFileType("image/png","base64",".png",{flags:["image"]});
	$tw.utils.registerFileType("image/gif","base64",".gif",{flags:["image"]});
	$tw.utils.registerFileType("image/webp","base64",".webp",{flags:["image"]});
	$tw.utils.registerFileType("image/heic","base64",".heic",{flags:["image"]});
	$tw.utils.registerFileType("image/heif","base64",".heif",{flags:["image"]});
	$tw.utils.registerFileType("image/svg+xml","utf8",".svg",{flags:["image"]});
	$tw.utils.registerFileType("image/vnd.microsoft.icon","base64",".ico",{flags:["image"]});
	$tw.utils.registerFileType("image/x-icon","base64",".ico",{flags:["image"]});
	$tw.utils.registerFileType("application/font-woff","base64",".woff");
	$tw.utils.registerFileType("application/x-font-ttf","base64",".woff");
	$tw.utils.registerFileType("application/font-woff2","base64",".woff2");
	$tw.utils.registerFileType("audio/ogg","base64",".ogg");
	$tw.utils.registerFileType("audio/mp4","base64",[".mp4",".m4a"]);
	$tw.utils.registerFileType("video/ogg","base64",[".ogm",".ogv",".ogg"]);
	$tw.utils.registerFileType("video/webm","base64",".webm");
	$tw.utils.registerFileType("video/mp4","base64",".mp4");
	$tw.utils.registerFileType("audio/mp3","base64",".mp3");
	$tw.utils.registerFileType("audio/mpeg","base64",[".mp3",".m2a",".mp2",".mpa",".mpg",".mpga"]);
	$tw.utils.registerFileType("text/markdown","utf8",[".md",".markdown"],{deserializerType:"text/x-markdown"});
	$tw.utils.registerFileType("text/x-markdown","utf8",[".md",".markdown"]);
	$tw.utils.registerFileType("application/enex+xml","utf8",".enex");
	$tw.utils.registerFileType("application/vnd.openxmlformats-officedocument.wordprocessingml.document","base64",".docx");
	$tw.utils.registerFileType("application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","base64",".xlsx");
	$tw.utils.registerFileType("application/vnd.openxmlformats-officedocument.presentationml.presentation","base64",".pptx");
	$tw.utils.registerFileType("text/x-bibtex","utf8",".bib",{deserializerType:"application/x-bibtex"});
	$tw.utils.registerFileType("application/x-bibtex","utf8",".bib");
	$tw.utils.registerFileType("application/epub+zip","base64",".epub");
	$tw.utils.registerFileType("application/octet-stream","base64",".octet-stream");
	// Create the wiki store for the app
	$tw.wiki = new $tw.Wiki($tw.safeMode && {enableIndexers: []});
	// Install built in tiddler fields modules
	$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap("tiddlerfield");
	// Install the tiddler deserializer modules
	$tw.Wiki.tiddlerDeserializerModules = Object.create(null);
	$tw.modules.applyMethods("tiddlerdeserializer",$tw.Wiki.tiddlerDeserializerModules);
	// Call unload handlers in the browser
	if($tw.browser) {
		window.onbeforeunload = function(event) {
			event = event || {};
			var result;
			$tw.utils.each($tw.unloadTasks,function(task) {
				var r = task(event);
				if(r) {
					result = r;
				}
			});
			return result;
		}
	}
};
$tw.boot.loadStartup = function(options){

	// Load tiddlers
	if($tw.boot.tasks.readBrowserTiddlers) {
		$tw.loadTiddlersBrowser();
	} else {
		$tw.loadTiddlersNode();
	}
	// Load any preloaded tiddlers
	if($tw.preloadTiddlers) {
		$tw.wiki.addTiddlers($tw.preloadTiddlers);
	}
	// Give hooks a chance to modify the store
	$tw.hooks.invokeHook("th-boot-tiddlers-loaded");
}
$tw.boot.execStartup = function(options){
	// Unpack plugin tiddlers
	$tw.wiki.readPluginInfo();
	$tw.wiki.registerPluginTiddlers("plugin",$tw.safeMode ? ["$:/core"] : undefined);
	$tw.wiki.unpackPluginTiddlers();
	// Process "safe mode"
	if($tw.safeMode) {
		$tw.wiki.processSafeMode();
	}
	// Register typed modules from the tiddlers we've just loaded
	$tw.wiki.defineTiddlerModules();
	// And any modules within plugins
	$tw.wiki.defineShadowModules();
	// Make sure the crypto state tiddler is up to date
	if($tw.crypto) {
		$tw.crypto.updateCryptoStateTiddler();
	}
	// Gather up any startup modules
	$tw.boot.remainingStartupModules = []; // Array of startup modules
	$tw.modules.forEachModuleOfType("startup",function(title,module) {
		if(module.startup) {
			$tw.boot.remainingStartupModules.push(module);
		}
	});
	// Keep track of the startup tasks that have been executed
	$tw.boot.executedStartupModules = Object.create(null);
	$tw.boot.disabledStartupModules = $tw.boot.disabledStartupModules || [];
	// Repeatedly execute the next eligible task
	$tw.boot.executeNextStartupTask(options.callback);
}
/*
Startup TiddlyWiki
*/
$tw.boot.startup = function(options) {
	options = options || {};
	// Get the URL hash and check for safe mode
	$tw.boot.initStartup(options);
	$tw.boot.loadStartup(options);
	$tw.boot.execStartup(options);
};

/*
Add another unload task
*/
$tw.addUnloadTask = function(task) {
	if($tw.unloadTasks.indexOf(task) === -1) {
		$tw.unloadTasks.push(task);
	}
}

/*
Execute the remaining eligible startup tasks
*/
$tw.boot.executeNextStartupTask = function(callback) {
	// Find the next eligible task
	var taskIndex = 0, task,
		asyncTaskCallback = function() {
			if(task.name) {
				$tw.boot.executedStartupModules[task.name] = true;
			}
			return $tw.boot.executeNextStartupTask(callback);
		};
	while(taskIndex < $tw.boot.remainingStartupModules.length) {
		task = $tw.boot.remainingStartupModules[taskIndex];
		if($tw.boot.isStartupTaskEligible(task)) {
			// Remove this task from the list
			$tw.boot.remainingStartupModules.splice(taskIndex,1);
			// Assemble log message
			var s = ["Startup task:",task.name];
			if(task.platforms) {
				s.push("platforms:",task.platforms.join(","));
			}
			if(task.after) {
				s.push("after:",task.after.join(","));
			}
			if(task.before) {
				s.push("before:",task.before.join(","));
			}
			$tw.boot.log(s.join(" "));
			// Execute task
			if(!$tw.utils.hop(task,"synchronous") || task.synchronous) {
				task.startup();
				if(task.name) {
					$tw.boot.executedStartupModules[task.name] = true;
				}
				return $tw.boot.executeNextStartupTask(callback);
			} else {
				task.startup(asyncTaskCallback);
				return true;
			}
		}
		taskIndex++;
	}
	if(typeof callback === 'function') {
		callback();
	}
	return false;
};

/*
Returns true if we are running on one of the platforms specified in taskModule's
`platforms` array; or if `platforms` property is not defined.
*/
$tw.boot.doesTaskMatchPlatform = function(taskModule) {
	var platforms = taskModule.platforms;
	if(platforms) {
		for(var t=0; t<platforms.length; t++) {
			switch (platforms[t]) {
				case "browser":
					if ($tw.browser) {
						return true;
					}
					break;
				case "node":
					if ($tw.node) {
						return true;
					}
					break;
				default:
					$tw.utils.error("Module " + taskModule.name + ": '" + platforms[t] + "' in export.platforms invalid");
			}
		}
		return false;
	}
	return true;
};

$tw.boot.isStartupTaskEligible = function(taskModule) {
	var t;
	// Check that the platform is correct
	if(!$tw.boot.doesTaskMatchPlatform(taskModule)) {
		return false;
	}
	var name = taskModule.name,
		remaining = $tw.boot.remainingStartupModules;
	if(name) {
		// Fail if this module is disabled
		if($tw.boot.disabledStartupModules.indexOf(name) !== -1) {
			return false;
		}
		// Check that no other outstanding tasks must be executed before this one
		for(t=0; t<remaining.length; t++) {
			var task = remaining[t];
			if(task.before && task.before.indexOf(name) !== -1) {
				if($tw.boot.doesTaskMatchPlatform(task) && (!task.name || $tw.boot.disabledStartupModules.indexOf(task.name) === -1)) {
					return false;
				}
			}
		}
	}
	// Check that all of the tasks that we must be performed after has been done
	var after = taskModule.after;
	if(after) {
		for(t=0; t<after.length; t++) {
			if(!$tw.boot.executedStartupModules[after[t]]) {
				return false;
			}
		}
	}
	return true;
};

/*
Global Hooks mechanism which allows plugins to modify default functionality
*/
$tw.hooks = $tw.hooks || { names: {}};

/*
Add hooks to the  hashmap
*/
$tw.hooks.addHook = function(hookName,definition) {
	if($tw.utils.hop($tw.hooks.names,hookName)) {
		$tw.hooks.names[hookName].push(definition);
	}
	else {
		$tw.hooks.names[hookName] = [definition];
	}
};

/*
Invoke the hook by key
*/
$tw.hooks.invokeHook = function(hookName /*, value,... */) {
	var args = Array.prototype.slice.call(arguments,1);
	if($tw.utils.hop($tw.hooks.names,hookName)) {
		for (var i = 0; i < $tw.hooks.names[hookName].length; i++) {
			args[0] = $tw.hooks.names[hookName][i].apply(null,args);
		}
	}
	return args[0];
};

/////////////////////////// Main boot function to decrypt tiddlers and then startup

$tw.boot.boot = function(callback) {
	// Initialise crypto object
	$tw.crypto = new $tw.utils.Crypto();
	// Initialise password prompter
	if($tw.browser && !$tw.node) {
		$tw.passwordPrompt = new $tw.utils.PasswordPrompt();
	}
	// Preload any encrypted tiddlers
	$tw.boot.decryptEncryptedTiddlers(function() {
		// Startup
		$tw.boot.startup({callback: callback});
	});
};

/////////////////////////// Autoboot in the browser

if($tw.browser && !$tw.boot.suppressBoot) {
	$tw.boot.boot();
}

return $tw;

});

if(typeof(exports) !== "undefined") {
	exports.TiddlyWiki = _boot;
} else {
	_boot(window.$tw);
}
//# sourceURL=$:/boot/boot.js

/*\
title: $:/boot/bootprefix.js
type: application/javascript

This file sets up the globals that need to be available when JavaScript modules are executed in the browser. The overall sequence is:

# BootPrefix.js
# <module definitions>
# Boot.js

See Boot.js for further details of the boot process.

\*/

var _bootprefix = (function($tw) {

"use strict";

$tw = $tw || Object.create(null);
$tw.boot = $tw.boot || Object.create(null);

// Detect platforms
if(!("browser" in $tw)) {
	$tw.browser = typeof(window) !== "undefined" ? {} : null;
}
if(!("node" in $tw)) {
	$tw.node = typeof(process) === "object" ? {} : null;
}
if(!("nodeWebKit" in $tw)) {
	$tw.nodeWebKit = $tw.node && global.window && global.window.nwDispatcher ? {} : null;
}

// Set default boot tasks
$tw.boot.tasks = {
	trapErrors: !!($tw.browser && !$tw.node),
	readBrowserTiddlers: !!($tw.browser && !$tw.node)
};

/*
Information about each module is kept in an object with these members:
	moduleType: type of module
	definition: object, function or string defining the module; see below
	exports: exports of the module, filled in after execution

The `definition` can be of several types:

* An object can be used to directly specify the exports of the module
* A function with the arguments `module,require,exports` that returns `exports`
* A string function body with the same arguments

Each moduleInfo object is stored in two hashmaps: $tw.modules.titles and $tw.modules.types. The first is indexed by title and the second is indexed by type and then title
*/
$tw.modules = {
	titles: {}, // hashmap by module name of moduleInfo
	types: {} // hashmap by module type and then name of moduleInfo
};

/*
Define a JavaScript tiddler module for later execution
	moduleName: name of module being defined
	moduleType: type of module
	definition: module definition; see discussion above
*/
$tw.modules.define = function(moduleName,moduleType,definition) {
	// Create the moduleInfo
	var moduleInfo = {
		moduleType: moduleType,
		definition: definition,
		exports: undefined
	};
	// If the definition is already an object we can use it as the exports
	if(typeof moduleInfo.definition === "object") {
		moduleInfo.exports = definition;
	}
	// Store the module in the titles hashmap
	if(Object.prototype.hasOwnProperty.call($tw.modules.titles,moduleName)) {
		console.log("Warning: Redefined module - " + moduleName);
	}
	$tw.modules.titles[moduleName] = moduleInfo;
	// Store the module in the types hashmap
	if(!Object.prototype.hasOwnProperty.call($tw.modules.types,moduleType)) {
		$tw.modules.types[moduleType] = {};
	}
	if(Object.prototype.hasOwnProperty.call($tw.modules.types[moduleType],moduleName)) {
		console.log("Warning: Redefined module - " + moduleName);
	}
	$tw.modules.types[moduleType][moduleName] = moduleInfo;
};

/*
External JavaScript can populate this array before calling boot.js in order to preload tiddlers
*/
$tw.preloadTiddlers = $tw.preloadTiddlers || [];

/*
Convenience function for pushing a tiddler onto the preloading array
*/
$tw.preloadTiddler = function(fields) {
	$tw.preloadTiddlers.push(fields);
};

/*
Convenience function for pushing an array of tiddlers onto the preloading array
*/
$tw.preloadTiddlerArray = function(fieldsArray) {
	$tw.preloadTiddlers.push.apply($tw.preloadTiddlers,fieldsArray);
};

return $tw;

});

if(typeof(exports) === "undefined") {
	// Set up $tw global for the browser
	window.$tw = _bootprefix(window.$tw);
} else {
	// Export functionality as a module
	exports.bootprefix = _bootprefix;
}
//# sourceURL=$:/boot/bootprefix.js

Built from branch 'tiddlywiki-com' at commit 8567c48be8c41a35bef58bd0d3208e4c95337eb6 of https://github.com/Jermolene/TiddlyWiki5 at 2023-02-03 19:34:53 UTC

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{"tiddlers":{"$:/Acknowledgements":{"title":"$:/Acknowledgements","text":"TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|https://jasmine.github.io/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"},"$:/core/copyright.txt":{"title":"$:/core/copyright.txt","type":"text/plain","text":"TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright (c) 2004-2007, Jeremy Ruston\nCopyright (c) 2007-2023, UnaMesa Association\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n  list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n  this list of conditions and the following disclaimer in the documentation\n  and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n  contributors may be used to endorse or promote products derived from\n  this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS'\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."},"$:/core/icon":{"title":"$:/core/icon","tags":"$:/tags/Image","text":"\\parameters (size:\"22pt\")\n<svg width=<<size>> height=<<size>> viewBox=\"0 0 128 128\"><path d=\"M64 0l54.56 32v64L64 128 9.44 96V32L64 0zm21.127 95.408c-3.578-.103-5.15-.094-6.974-3.152l-1.42.042c-1.653-.075-.964-.04-2.067-.097-1.844-.07-1.548-1.86-1.873-2.8-.52-3.202.687-6.43.65-9.632-.014-1.14-1.593-5.17-2.157-6.61-1.768.34-3.546.406-5.34.497-4.134-.01-8.24-.527-12.317-1.183-.8 3.35-3.16 8.036-1.21 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here"},"$:/language/Buttons/NewHere/Hint":{"title":"$:/language/Buttons/NewHere/Hint","text":"Create a new tiddler tagged with this one"},"$:/language/Buttons/NetworkActivity/Caption":{"title":"$:/language/Buttons/NetworkActivity/Caption","text":"network activity"},"$:/language/Buttons/NetworkActivity/Hint":{"title":"$:/language/Buttons/NetworkActivity/Hint","text":"Cancel all network activity"},"$:/language/Buttons/NewJournal/Caption":{"title":"$:/language/Buttons/NewJournal/Caption","text":"new journal"},"$:/language/Buttons/NewJournal/Hint":{"title":"$:/language/Buttons/NewJournal/Hint","text":"Create a new journal tiddler"},"$:/language/Buttons/NewJournalHere/Caption":{"title":"$:/language/Buttons/NewJournalHere/Caption","text":"new journal here"},"$:/language/Buttons/NewJournalHere/Hint":{"title":"$:/language/Buttons/NewJournalHere/Hint","text":"Create a new journal tiddler tagged with this one"},"$:/language/Buttons/NewImage/Caption":{"title":"$:/language/Buttons/NewImage/Caption","text":"new image"},"$:/language/Buttons/NewImage/Hint":{"title":"$:/language/Buttons/NewImage/Hint","text":"Create a new image tiddler"},"$:/language/Buttons/NewMarkdown/Caption":{"title":"$:/language/Buttons/NewMarkdown/Caption","text":"new Markdown tiddler"},"$:/language/Buttons/NewMarkdown/Hint":{"title":"$:/language/Buttons/NewMarkdown/Hint","text":"Create a new Markdown tiddler"},"$:/language/Buttons/NewTiddler/Caption":{"title":"$:/language/Buttons/NewTiddler/Caption","text":"new tiddler"},"$:/language/Buttons/NewTiddler/Hint":{"title":"$:/language/Buttons/NewTiddler/Hint","text":"Create a new tiddler"},"$:/language/Buttons/OpenWindow/Caption":{"title":"$:/language/Buttons/OpenWindow/Caption","text":"open in new window"},"$:/language/Buttons/OpenWindow/Hint":{"title":"$:/language/Buttons/OpenWindow/Hint","text":"Open tiddler in new window"},"$:/language/Buttons/Palette/Caption":{"title":"$:/language/Buttons/Palette/Caption","text":"palette"},"$:/language/Buttons/Palette/Hint":{"title":"$:/language/Buttons/Palette/Hint","text":"Choose the colour palette"},"$:/language/Buttons/Permalink/Caption":{"title":"$:/language/Buttons/Permalink/Caption","text":"permalink"},"$:/language/Buttons/Permalink/Hint":{"title":"$:/language/Buttons/Permalink/Hint","text":"Set browser address bar to a direct link to this tiddler"},"$:/language/Buttons/Permaview/Caption":{"title":"$:/language/Buttons/Permaview/Caption","text":"permaview"},"$:/language/Buttons/Permaview/Hint":{"title":"$:/language/Buttons/Permaview/Hint","text":"Set browser address bar to a direct link to all the tiddlers in this story"},"$:/language/Buttons/Print/Caption":{"title":"$:/language/Buttons/Print/Caption","text":"print page"},"$:/language/Buttons/Print/Hint":{"title":"$:/language/Buttons/Print/Hint","text":"Print the current page"},"$:/language/Buttons/Refresh/Caption":{"title":"$:/language/Buttons/Refresh/Caption","text":"refresh"},"$:/language/Buttons/Refresh/Hint":{"title":"$:/language/Buttons/Refresh/Hint","text":"Perform a full refresh of the wiki"},"$:/language/Buttons/Save/Caption":{"title":"$:/language/Buttons/Save/Caption","text":"ok"},"$:/language/Buttons/Save/Hint":{"title":"$:/language/Buttons/Save/Hint","text":"Confirm changes to this tiddler"},"$:/language/Buttons/SaveWiki/Caption":{"title":"$:/language/Buttons/SaveWiki/Caption","text":"save changes"},"$:/language/Buttons/SaveWiki/Hint":{"title":"$:/language/Buttons/SaveWiki/Hint","text":"Save changes"},"$:/language/Buttons/StoryView/Caption":{"title":"$:/language/Buttons/StoryView/Caption","text":"storyview"},"$:/language/Buttons/StoryView/Hint":{"title":"$:/language/Buttons/StoryView/Hint","text":"Choose the story visualisation"},"$:/language/Buttons/HideSideBar/Caption":{"title":"$:/language/Buttons/HideSideBar/Caption","text":"hide sidebar"},"$:/language/Buttons/HideSideBar/Hint":{"title":"$:/language/Buttons/HideSideBar/Hint","text":"Hide sidebar"},"$:/language/Buttons/ShowSideBar/Caption":{"title":"$:/language/Buttons/ShowSideBar/Caption","text":"show sidebar"},"$:/language/Buttons/ShowSideBar/Hint":{"title":"$:/language/Buttons/ShowSideBar/Hint","text":"Show sidebar"},"$:/language/Buttons/TagManager/Caption":{"title":"$:/language/Buttons/TagManager/Caption","text":"tag manager"},"$:/language/Buttons/TagManager/Hint":{"title":"$:/language/Buttons/TagManager/Hint","text":"Open tag manager"},"$:/language/Buttons/Timestamp/Caption":{"title":"$:/language/Buttons/Timestamp/Caption","text":"timestamps"},"$:/language/Buttons/Timestamp/Hint":{"title":"$:/language/Buttons/Timestamp/Hint","text":"Choose whether modifications update timestamps"},"$:/language/Buttons/Timestamp/On/Caption":{"title":"$:/language/Buttons/Timestamp/On/Caption","text":"timestamps are on"},"$:/language/Buttons/Timestamp/On/Hint":{"title":"$:/language/Buttons/Timestamp/On/Hint","text":"Update timestamps when tiddlers are modified"},"$:/language/Buttons/Timestamp/Off/Caption":{"title":"$:/language/Buttons/Timestamp/Off/Caption","text":"timestamps are off"},"$:/language/Buttons/Timestamp/Off/Hint":{"title":"$:/language/Buttons/Timestamp/Off/Hint","text":"Don't update timestamps when tiddlers are modified"},"$:/language/Buttons/Theme/Caption":{"title":"$:/language/Buttons/Theme/Caption","text":"theme"},"$:/language/Buttons/Theme/Hint":{"title":"$:/language/Buttons/Theme/Hint","text":"Choose the display theme"},"$:/language/Buttons/Bold/Caption":{"title":"$:/language/Buttons/Bold/Caption","text":"bold"},"$:/language/Buttons/Bold/Hint":{"title":"$:/language/Buttons/Bold/Hint","text":"Apply bold formatting to selection"},"$:/language/Buttons/Clear/Caption":{"title":"$:/language/Buttons/Clear/Caption","text":"clear"},"$:/language/Buttons/Clear/Hint":{"title":"$:/language/Buttons/Clear/Hint","text":"Clear image to solid colour"},"$:/language/Buttons/EditorHeight/Caption":{"title":"$:/language/Buttons/EditorHeight/Caption","text":"editor height"},"$:/language/Buttons/EditorHeight/Caption/Auto":{"title":"$:/language/Buttons/EditorHeight/Caption/Auto","text":"Automatically adjust height to fit content"},"$:/language/Buttons/EditorHeight/Caption/Fixed":{"title":"$:/language/Buttons/EditorHeight/Caption/Fixed","text":"Fixed height:"},"$:/language/Buttons/EditorHeight/Hint":{"title":"$:/language/Buttons/EditorHeight/Hint","text":"Choose the height of the text editor"},"$:/language/Buttons/Excise/Caption":{"title":"$:/language/Buttons/Excise/Caption","text":"excise"},"$:/language/Buttons/Excise/Caption/Excise":{"title":"$:/language/Buttons/Excise/Caption/Excise","text":"Perform excision"},"$:/language/Buttons/Excise/Caption/MacroName":{"title":"$:/language/Buttons/Excise/Caption/MacroName","text":"Macro name:"},"$:/language/Buttons/Excise/Caption/NewTitle":{"title":"$:/language/Buttons/Excise/Caption/NewTitle","text":"Title of new tiddler:"},"$:/language/Buttons/Excise/Caption/Replace":{"title":"$:/language/Buttons/Excise/Caption/Replace","text":"Replace excised text with:"},"$:/language/Buttons/Excise/Caption/Replace/Macro":{"title":"$:/language/Buttons/Excise/Caption/Replace/Macro","text":"macro"},"$:/language/Buttons/Excise/Caption/Replace/Link":{"title":"$:/language/Buttons/Excise/Caption/Replace/Link","text":"link"},"$:/language/Buttons/Excise/Caption/Replace/Transclusion":{"title":"$:/language/Buttons/Excise/Caption/Replace/Transclusion","text":"transclusion"},"$:/language/Buttons/Excise/Caption/Tag":{"title":"$:/language/Buttons/Excise/Caption/Tag","text":"Tag new tiddler with the title of this tiddler"},"$:/language/Buttons/Excise/Caption/TiddlerExists":{"title":"$:/language/Buttons/Excise/Caption/TiddlerExists","text":"Warning: tiddler already exists"},"$:/language/Buttons/Excise/Hint":{"title":"$:/language/Buttons/Excise/Hint","text":"Excise the selected text into a new tiddler"},"$:/language/Buttons/Heading1/Caption":{"title":"$:/language/Buttons/Heading1/Caption","text":"heading 1"},"$:/language/Buttons/Heading1/Hint":{"title":"$:/language/Buttons/Heading1/Hint","text":"Apply heading level 1 formatting to lines containing selection"},"$:/language/Buttons/Heading2/Caption":{"title":"$:/language/Buttons/Heading2/Caption","text":"heading 2"},"$:/language/Buttons/Heading2/Hint":{"title":"$:/language/Buttons/Heading2/Hint","text":"Apply heading level 2 formatting to lines containing selection"},"$:/language/Buttons/Heading3/Caption":{"title":"$:/language/Buttons/Heading3/Caption","text":"heading 3"},"$:/language/Buttons/Heading3/Hint":{"title":"$:/language/Buttons/Heading3/Hint","text":"Apply heading level 3 formatting to lines containing selection"},"$:/language/Buttons/Heading4/Caption":{"title":"$:/language/Buttons/Heading4/Caption","text":"heading 4"},"$:/language/Buttons/Heading4/Hint":{"title":"$:/language/Buttons/Heading4/Hint","text":"Apply heading level 4 formatting to lines containing selection"},"$:/language/Buttons/Heading5/Caption":{"title":"$:/language/Buttons/Heading5/Caption","text":"heading 5"},"$:/language/Buttons/Heading5/Hint":{"title":"$:/language/Buttons/Heading5/Hint","text":"Apply heading level 5 formatting to lines containing selection"},"$:/language/Buttons/Heading6/Caption":{"title":"$:/language/Buttons/Heading6/Caption","text":"heading 6"},"$:/language/Buttons/Heading6/Hint":{"title":"$:/language/Buttons/Heading6/Hint","text":"Apply heading level 6 formatting to lines containing selection"},"$:/language/Buttons/Italic/Caption":{"title":"$:/language/Buttons/Italic/Caption","text":"italic"},"$:/language/Buttons/Italic/Hint":{"title":"$:/language/Buttons/Italic/Hint","text":"Apply italic formatting to selection"},"$:/language/Buttons/LineWidth/Caption":{"title":"$:/language/Buttons/LineWidth/Caption","text":"line width"},"$:/language/Buttons/LineWidth/Hint":{"title":"$:/language/Buttons/LineWidth/Hint","text":"Set line width for painting"},"$:/language/Buttons/Link/Caption":{"title":"$:/language/Buttons/Link/Caption","text":"link"},"$:/language/Buttons/Link/Hint":{"title":"$:/language/Buttons/Link/Hint","text":"Create wikitext link"},"$:/language/Buttons/Linkify/Caption":{"title":"$:/language/Buttons/Linkify/Caption","text":"wikilink"},"$:/language/Buttons/Linkify/Hint":{"title":"$:/language/Buttons/Linkify/Hint","text":"Wrap selection in square brackets"},"$:/language/Buttons/ListBullet/Caption":{"title":"$:/language/Buttons/ListBullet/Caption","text":"bulleted list"},"$:/language/Buttons/ListBullet/Hint":{"title":"$:/language/Buttons/ListBullet/Hint","text":"Apply bulleted list formatting to lines containing selection"},"$:/language/Buttons/ListNumber/Caption":{"title":"$:/language/Buttons/ListNumber/Caption","text":"numbered list"},"$:/language/Buttons/ListNumber/Hint":{"title":"$:/language/Buttons/ListNumber/Hint","text":"Apply numbered list formatting to lines containing selection"},"$:/language/Buttons/MonoBlock/Caption":{"title":"$:/language/Buttons/MonoBlock/Caption","text":"monospaced block"},"$:/language/Buttons/MonoBlock/Hint":{"title":"$:/language/Buttons/MonoBlock/Hint","text":"Apply monospaced block formatting to lines containing selection"},"$:/language/Buttons/MonoLine/Caption":{"title":"$:/language/Buttons/MonoLine/Caption","text":"monospaced"},"$:/language/Buttons/MonoLine/Hint":{"title":"$:/language/Buttons/MonoLine/Hint","text":"Apply monospaced character formatting to selection"},"$:/language/Buttons/Opacity/Caption":{"title":"$:/language/Buttons/Opacity/Caption","text":"opacity"},"$:/language/Buttons/Opacity/Hint":{"title":"$:/language/Buttons/Opacity/Hint","text":"Set painting opacity"},"$:/language/Buttons/Paint/Caption":{"title":"$:/language/Buttons/Paint/Caption","text":"paint colour"},"$:/language/Buttons/Paint/Hint":{"title":"$:/language/Buttons/Paint/Hint","text":"Set painting colour"},"$:/language/Buttons/Picture/Caption":{"title":"$:/language/Buttons/Picture/Caption","text":"picture"},"$:/language/Buttons/Picture/Hint":{"title":"$:/language/Buttons/Picture/Hint","text":"Insert picture"},"$:/language/Buttons/Preview/Caption":{"title":"$:/language/Buttons/Preview/Caption","text":"preview"},"$:/language/Buttons/Preview/Hint":{"title":"$:/language/Buttons/Preview/Hint","text":"Show preview pane"},"$:/language/Buttons/PreviewType/Caption":{"title":"$:/language/Buttons/PreviewType/Caption","text":"preview 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image"},"$:/language/Buttons/Size/Caption/Width":{"title":"$:/language/Buttons/Size/Caption/Width","text":"Width:"},"$:/language/Buttons/Size/Hint":{"title":"$:/language/Buttons/Size/Hint","text":"Set image size"},"$:/language/Buttons/Stamp/Caption":{"title":"$:/language/Buttons/Stamp/Caption","text":"stamp"},"$:/language/Buttons/Stamp/Caption/New":{"title":"$:/language/Buttons/Stamp/Caption/New","text":"Add your own"},"$:/language/Buttons/Stamp/Hint":{"title":"$:/language/Buttons/Stamp/Hint","text":"Insert a preconfigured snippet of text"},"$:/language/Buttons/Stamp/New/Title":{"title":"$:/language/Buttons/Stamp/New/Title","text":"Name as shown in menu"},"$:/language/Buttons/Stamp/New/Text":{"title":"$:/language/Buttons/Stamp/New/Text","text":"Text of snippet. (Remember to add a descriptive title in the caption field)."},"$:/language/Buttons/Strikethrough/Caption":{"title":"$:/language/Buttons/Strikethrough/Caption","text":"strikethrough"},"$:/language/Buttons/Strikethrough/Hint":{"title":"$:/language/Buttons/Strikethrough/Hint","text":"Apply strikethrough formatting to selection"},"$:/language/Buttons/Subscript/Caption":{"title":"$:/language/Buttons/Subscript/Caption","text":"subscript"},"$:/language/Buttons/Subscript/Hint":{"title":"$:/language/Buttons/Subscript/Hint","text":"Apply subscript formatting to selection"},"$:/language/Buttons/Superscript/Caption":{"title":"$:/language/Buttons/Superscript/Caption","text":"superscript"},"$:/language/Buttons/Superscript/Hint":{"title":"$:/language/Buttons/Superscript/Hint","text":"Apply superscript formatting to selection"},"$:/language/Buttons/ToggleSidebar/Hint":{"title":"$:/language/Buttons/ToggleSidebar/Hint","text":"Toggle the sidebar visibility"},"$:/language/Buttons/Transcludify/Caption":{"title":"$:/language/Buttons/Transcludify/Caption","text":"transclusion"},"$:/language/Buttons/Transcludify/Hint":{"title":"$:/language/Buttons/Transcludify/Hint","text":"Wrap selection in curly brackets"},"$:/language/Buttons/Underline/Caption":{"title":"$:/language/Buttons/Underline/Caption","text":"underline"},"$:/language/Buttons/Underline/Hint":{"title":"$:/language/Buttons/Underline/Hint","text":"Apply underline formatting to selection"},"$:/language/ControlPanel/Advanced/Caption":{"title":"$:/language/ControlPanel/Advanced/Caption","text":"Advanced"},"$:/language/ControlPanel/Advanced/Hint":{"title":"$:/language/ControlPanel/Advanced/Hint","text":"Internal information about this TiddlyWiki"},"$:/language/ControlPanel/Appearance/Caption":{"title":"$:/language/ControlPanel/Appearance/Caption","text":"Appearance"},"$:/language/ControlPanel/Appearance/Hint":{"title":"$:/language/ControlPanel/Appearance/Hint","text":"Ways to customise the appearance of your TiddlyWiki."},"$:/language/ControlPanel/Basics/AnimDuration/Prompt":{"title":"$:/language/ControlPanel/Basics/AnimDuration/Prompt","text":"Animation duration"},"$:/language/ControlPanel/Basics/AutoFocus/Prompt":{"title":"$:/language/ControlPanel/Basics/AutoFocus/Prompt","text":"Default focus field for new tiddlers"},"$:/language/ControlPanel/Basics/Caption":{"title":"$:/language/ControlPanel/Basics/Caption","text":"Basics"},"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint":{"title":"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint","text":"Use &#91;&#91;double square brackets&#93;&#93; for titles with spaces. Or you can choose to {{retain story ordering||$:/snippets/retain-story-ordering-button}}"},"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt":{"title":"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt","text":"Default tiddlers"},"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint":{"title":"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint","text":"Choose which tiddlers are displayed at startup"},"$:/language/ControlPanel/Basics/Language/Prompt":{"title":"$:/language/ControlPanel/Basics/Language/Prompt","text":"Hello! Current language:"},"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt":{"title":"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt","text":"Title of new journal tiddlers"},"$:/language/ControlPanel/Basics/NewJournal/Text/Prompt":{"title":"$:/language/ControlPanel/Basics/NewJournal/Text/Prompt","text":"Text for new journal tiddlers"},"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt":{"title":"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt","text":"Tags for new journal tiddlers"},"$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt":{"title":"$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt","text":"Title of new tiddlers"},"$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt":{"title":"$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt","text":"Tags for new tiddlers"},"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt":{"title":"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt","text":"Number of overridden shadow tiddlers"},"$:/language/ControlPanel/Basics/RemoveTags":{"title":"$:/language/ControlPanel/Basics/RemoveTags","text":"Update to current format"},"$:/language/ControlPanel/Basics/RemoveTags/Hint":{"title":"$:/language/ControlPanel/Basics/RemoveTags/Hint","text":"Update the tags configuration to the latest format"},"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt":{"title":"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt","text":"Number of shadow tiddlers"},"$:/language/ControlPanel/Basics/Subtitle/Prompt":{"title":"$:/language/ControlPanel/Basics/Subtitle/Prompt","text":"Subtitle"},"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt":{"title":"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt","text":"Number of system tiddlers"},"$:/language/ControlPanel/Basics/Tags/Prompt":{"title":"$:/language/ControlPanel/Basics/Tags/Prompt","text":"Number of tags"},"$:/language/ControlPanel/Basics/Tiddlers/Prompt":{"title":"$:/language/ControlPanel/Basics/Tiddlers/Prompt","text":"Number of tiddlers"},"$:/language/ControlPanel/Basics/Title/Prompt":{"title":"$:/language/ControlPanel/Basics/Title/Prompt","text":"Title of this ~TiddlyWiki"},"$:/language/ControlPanel/Basics/Username/Prompt":{"title":"$:/language/ControlPanel/Basics/Username/Prompt","text":"Username for signing edits"},"$:/language/ControlPanel/Basics/Version/Prompt":{"title":"$:/language/ControlPanel/Basics/Version/Prompt","text":"~TiddlyWiki version"},"$:/language/ControlPanel/Cascades/Caption":{"title":"$:/language/ControlPanel/Cascades/Caption","text":"Cascades"},"$:/language/ControlPanel/Cascades/Hint":{"title":"$:/language/ControlPanel/Cascades/Hint","text":"These global rules are used to dynamically choose certain templates. The result of the cascade is the result of the first filter in the sequence that returns a result"},"$:/language/ControlPanel/Cascades/TagPrompt":{"title":"$:/language/ControlPanel/Cascades/TagPrompt","text":"Filters tagged <$macrocall $name=\"tag\" tag=<<currentTiddler>>/>"},"$:/language/ControlPanel/EditorTypes/Caption":{"title":"$:/language/ControlPanel/EditorTypes/Caption","text":"Editor Types"},"$:/language/ControlPanel/EditorTypes/Editor/Caption":{"title":"$:/language/ControlPanel/EditorTypes/Editor/Caption","text":"Editor"},"$:/language/ControlPanel/EditorTypes/Hint":{"title":"$:/language/ControlPanel/EditorTypes/Hint","text":"These tiddlers determine which editor is used to edit specific tiddler types."},"$:/language/ControlPanel/EditorTypes/Type/Caption":{"title":"$:/language/ControlPanel/EditorTypes/Type/Caption","text":"Type"},"$:/language/ControlPanel/EditTemplateBody/Caption":{"title":"$:/language/ControlPanel/EditTemplateBody/Caption","text":"Edit Template Body"},"$:/language/ControlPanel/EditTemplateBody/Hint":{"title":"$:/language/ControlPanel/EditTemplateBody/Hint","text":"This rule cascade is used by the default edit template to dynamically choose the template for editing the body of a tiddler."},"$:/language/ControlPanel/FieldEditor/Caption":{"title":"$:/language/ControlPanel/FieldEditor/Caption","text":"Field Editor"},"$:/language/ControlPanel/FieldEditor/Hint":{"title":"$:/language/ControlPanel/FieldEditor/Hint","text":"This rules cascade is used to dynamically choose the template for rendering a tiddler field based on its name. It is used within the Edit Template."},"$:/language/ControlPanel/Info/Caption":{"title":"$:/language/ControlPanel/Info/Caption","text":"Info"},"$:/language/ControlPanel/Info/Hint":{"title":"$:/language/ControlPanel/Info/Hint","text":"Information about this TiddlyWiki"},"$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt","text":"Type shortcut here"},"$:/language/ControlPanel/KeyboardShortcuts/Add/Caption":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Add/Caption","text":"add shortcut"},"$:/language/ControlPanel/KeyboardShortcuts/Caption":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Caption","text":"Keyboard Shortcuts"},"$:/language/ControlPanel/KeyboardShortcuts/Hint":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Hint","text":"Manage keyboard shortcut assignments"},"$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption":{"title":"$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption","text":"No keyboard shortcuts assigned"},"$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint","text":"remove keyboard shortcut"},"$:/language/ControlPanel/KeyboardShortcuts/Platform/All":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Platform/All","text":"All platforms"},"$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac","text":"Macintosh platform only"},"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac","text":"Non-Macintosh platforms only"},"$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux","text":"Linux platform only"},"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux","text":"Non-Linux platforms only"},"$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows","text":"Windows platform only"},"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows":{"title":"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows","text":"Non-Windows platforms only"},"$:/language/ControlPanel/LayoutSwitcher/Caption":{"title":"$:/language/ControlPanel/LayoutSwitcher/Caption","text":"Layout"},"$:/language/ControlPanel/LoadedModules/Caption":{"title":"$:/language/ControlPanel/LoadedModules/Caption","text":"Loaded Modules"},"$:/language/ControlPanel/LoadedModules/Hint":{"title":"$:/language/ControlPanel/LoadedModules/Hint","text":"These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."},"$:/language/ControlPanel/Palette/Caption":{"title":"$:/language/ControlPanel/Palette/Caption","text":"Palette"},"$:/language/ControlPanel/Palette/Editor/Clone/Caption":{"title":"$:/language/ControlPanel/Palette/Editor/Clone/Caption","text":"clone"},"$:/language/ControlPanel/Palette/Editor/Clone/Prompt":{"title":"$:/language/ControlPanel/Palette/Editor/Clone/Prompt","text":"It is recommended that you clone this shadow palette before editing it"},"$:/language/ControlPanel/Palette/Editor/Delete/Hint":{"title":"$:/language/ControlPanel/Palette/Editor/Delete/Hint","text":"delete this entry from the current palette"},"$:/language/ControlPanel/Palette/Editor/Names/External/Show":{"title":"$:/language/ControlPanel/Palette/Editor/Names/External/Show","text":"Show color names that are not part of the current palette"},"$:/language/ControlPanel/Palette/Editor/Prompt/Modified":{"title":"$:/language/ControlPanel/Palette/Editor/Prompt/Modified","text":"This shadow palette has been modified"},"$:/language/ControlPanel/Palette/Editor/Prompt":{"title":"$:/language/ControlPanel/Palette/Editor/Prompt","text":"Editing"},"$:/language/ControlPanel/Palette/Editor/Reset/Caption":{"title":"$:/language/ControlPanel/Palette/Editor/Reset/Caption","text":"reset"},"$:/language/ControlPanel/Palette/HideEditor/Caption":{"title":"$:/language/ControlPanel/Palette/HideEditor/Caption","text":"hide editor"},"$:/language/ControlPanel/Palette/Prompt":{"title":"$:/language/ControlPanel/Palette/Prompt","text":"Current palette:"},"$:/language/ControlPanel/Palette/ShowEditor/Caption":{"title":"$:/language/ControlPanel/Palette/ShowEditor/Caption","text":"show editor"},"$:/language/ControlPanel/Parsing/Caption":{"title":"$:/language/ControlPanel/Parsing/Caption","text":"Parsing"},"$:/language/ControlPanel/Parsing/Hint":{"title":"$:/language/ControlPanel/Parsing/Hint","text":"Here you can globally disable/enable wiki parser rules. For changes to take effect, save and reload your wiki. Disabling certain parser rules can prevent <$text text=\"TiddlyWiki\"/> from functioning correctly. Use [[safe mode|https://tiddlywiki.com/#SafeMode]] to restore normal operation."},"$:/language/ControlPanel/Parsing/Block/Caption":{"title":"$:/language/ControlPanel/Parsing/Block/Caption","text":"Block Parse Rules"},"$:/language/ControlPanel/Parsing/Inline/Caption":{"title":"$:/language/ControlPanel/Parsing/Inline/Caption","text":"Inline Parse Rules"},"$:/language/ControlPanel/Parsing/Pragma/Caption":{"title":"$:/language/ControlPanel/Parsing/Pragma/Caption","text":"Pragma Parse Rules"},"$:/language/ControlPanel/Plugins/Add/Caption":{"title":"$:/language/ControlPanel/Plugins/Add/Caption","text":"Get more plugins"},"$:/language/ControlPanel/Plugins/Add/Hint":{"title":"$:/language/ControlPanel/Plugins/Add/Hint","text":"Install plugins from the official library"},"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint":{"title":"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint","text":"This plugin is already installed at version <$text text=<<installedVersion>>/>"},"$:/language/ControlPanel/Plugins/AlsoRequires":{"title":"$:/language/ControlPanel/Plugins/AlsoRequires","text":"Also requires:"},"$:/language/ControlPanel/Plugins/Caption":{"title":"$:/language/ControlPanel/Plugins/Caption","text":"Plugins"},"$:/language/ControlPanel/Plugins/Disable/Caption":{"title":"$:/language/ControlPanel/Plugins/Disable/Caption","text":"disable"},"$:/language/ControlPanel/Plugins/Disable/Hint":{"title":"$:/language/ControlPanel/Plugins/Disable/Hint","text":"Disable this plugin when reloading page"},"$:/language/ControlPanel/Plugins/Disabled/Status":{"title":"$:/language/ControlPanel/Plugins/Disabled/Status","text":"(disabled)"},"$:/language/ControlPanel/Plugins/Downgrade/Caption":{"title":"$:/language/ControlPanel/Plugins/Downgrade/Caption","text":"downgrade"},"$:/language/ControlPanel/Plugins/Empty/Hint":{"title":"$:/language/ControlPanel/Plugins/Empty/Hint","text":"None"},"$:/language/ControlPanel/Plugins/Enable/Caption":{"title":"$:/language/ControlPanel/Plugins/Enable/Caption","text":"enable"},"$:/language/ControlPanel/Plugins/Enable/Hint":{"title":"$:/language/ControlPanel/Plugins/Enable/Hint","text":"Enable this plugin when reloading page"},"$:/language/ControlPanel/Plugins/Install/Caption":{"title":"$:/language/ControlPanel/Plugins/Install/Caption","text":"install"},"$:/language/ControlPanel/Plugins/Installed/Hint":{"title":"$:/language/ControlPanel/Plugins/Installed/Hint","text":"Currently installed plugins:"},"$:/language/ControlPanel/Plugins/Languages/Caption":{"title":"$:/language/ControlPanel/Plugins/Languages/Caption","text":"Languages"},"$:/language/ControlPanel/Plugins/Languages/Hint":{"title":"$:/language/ControlPanel/Plugins/Languages/Hint","text":"Language pack plugins"},"$:/language/ControlPanel/Plugins/NoInfoFound/Hint":{"title":"$:/language/ControlPanel/Plugins/NoInfoFound/Hint","text":"No ''\"<$text text=<<currentTab>>/>\"'' found"},"$:/language/ControlPanel/Plugins/NotInstalled/Hint":{"title":"$:/language/ControlPanel/Plugins/NotInstalled/Hint","text":"This plugin is not currently installed"},"$:/language/ControlPanel/Plugins/OpenPluginLibrary":{"title":"$:/language/ControlPanel/Plugins/OpenPluginLibrary","text":"Open plugin library"},"$:/language/ControlPanel/Plugins/ClosePluginLibrary":{"title":"$:/language/ControlPanel/Plugins/ClosePluginLibrary","text":"Close plugin 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plugins"},"$:/language/ControlPanel/Plugins/Update/Caption":{"title":"$:/language/ControlPanel/Plugins/Update/Caption","text":"update"},"$:/language/ControlPanel/Plugins/Updates/Caption":{"title":"$:/language/ControlPanel/Plugins/Updates/Caption","text":"Updates"},"$:/language/ControlPanel/Plugins/Updates/Hint":{"title":"$:/language/ControlPanel/Plugins/Updates/Hint","text":"Available updates to installed plugins"},"$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption":{"title":"$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption","text":"Update <<update-count>> plugins"},"$:/language/ControlPanel/Plugins/SubPluginPrompt":{"title":"$:/language/ControlPanel/Plugins/SubPluginPrompt","text":"With <<count>> sub-plugins available"},"$:/language/ControlPanel/Saving/Caption":{"title":"$:/language/ControlPanel/Saving/Caption","text":"Saving"},"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description":{"title":"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description","text":"Permit automatic saving for the download saver"},"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint":{"title":"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint","text":"Enable Autosave for Download Saver"},"$:/language/ControlPanel/Saving/DownloadSaver/Caption":{"title":"$:/language/ControlPanel/Saving/DownloadSaver/Caption","text":"Download Saver"},"$:/language/ControlPanel/Saving/DownloadSaver/Hint":{"title":"$:/language/ControlPanel/Saving/DownloadSaver/Hint","text":"These settings apply to the HTML5-compatible download saver"},"$:/language/ControlPanel/Saving/General/Caption":{"title":"$:/language/ControlPanel/Saving/General/Caption","text":"General"},"$:/language/ControlPanel/Saving/General/Hint":{"title":"$:/language/ControlPanel/Saving/General/Hint","text":"These settings apply to all the loaded savers"},"$:/language/ControlPanel/Saving/Hint":{"title":"$:/language/ControlPanel/Saving/Hint","text":"Settings used for saving the entire TiddlyWiki as a single file via a saver module"},"$:/language/ControlPanel/Saving/GitService/Branch":{"title":"$:/language/ControlPanel/Saving/GitService/Branch","text":"Target branch for saving"},"$:/language/ControlPanel/Saving/GitService/CommitMessage":{"title":"$:/language/ControlPanel/Saving/GitService/CommitMessage","text":"Saved by TiddlyWiki"},"$:/language/ControlPanel/Saving/GitService/Description":{"title":"$:/language/ControlPanel/Saving/GitService/Description","text":"These settings are only used when saving to <<service-name>>"},"$:/language/ControlPanel/Saving/GitService/Filename":{"title":"$:/language/ControlPanel/Saving/GitService/Filename","text":"Filename of target file (e.g. `index.html`)"},"$:/language/ControlPanel/Saving/GitService/Path":{"title":"$:/language/ControlPanel/Saving/GitService/Path","text":"Path to target file (e.g. `/wiki/`)"},"$:/language/ControlPanel/Saving/GitService/Repo":{"title":"$:/language/ControlPanel/Saving/GitService/Repo","text":"Target repository (e.g. `Jermolene/TiddlyWiki5`)"},"$:/language/ControlPanel/Saving/GitService/ServerURL":{"title":"$:/language/ControlPanel/Saving/GitService/ServerURL","text":"Server API URL"},"$:/language/ControlPanel/Saving/GitService/UserName":{"title":"$:/language/ControlPanel/Saving/GitService/UserName","text":"Username"},"$:/language/ControlPanel/Saving/GitService/GitHub/Caption":{"title":"$:/language/ControlPanel/Saving/GitService/GitHub/Caption","text":"~GitHub Saver"},"$:/language/ControlPanel/Saving/GitService/GitHub/Password":{"title":"$:/language/ControlPanel/Saving/GitService/GitHub/Password","text":"Password, OAUTH token, or personal access token (see [[GitHub help page|https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line]] for details)"},"$:/language/ControlPanel/Saving/GitService/GitLab/Caption":{"title":"$:/language/ControlPanel/Saving/GitService/GitLab/Caption","text":"~GitLab Saver"},"$:/language/ControlPanel/Saving/GitService/GitLab/Password":{"title":"$:/language/ControlPanel/Saving/GitService/GitLab/Password","text":"Personal access token for API (see [[GitLab help page|https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html]] for details)"},"$:/language/ControlPanel/Saving/GitService/Gitea/Caption":{"title":"$:/language/ControlPanel/Saving/GitService/Gitea/Caption","text":"Gitea Saver"},"$:/language/ControlPanel/Saving/GitService/Gitea/Password":{"title":"$:/language/ControlPanel/Saving/GitService/Gitea/Password","text":"Personal access token for API (via Gitea’s web interface: `Settings | Applications | Generate New Token`)"},"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading","text":"Advanced Settings"},"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir","text":"Backup Directory"},"$:/language/ControlPanel/Saving/TiddlySpot/ControlPanel":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/ControlPanel","text":"~TiddlySpot Control Panel"},"$:/language/ControlPanel/Saving/TiddlySpot/Backups":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Backups","text":"Backups"},"$:/language/ControlPanel/Saving/TiddlySpot/Caption":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Caption","text":"~TiddlySpot Saver"},"$:/language/ControlPanel/Saving/TiddlySpot/Description":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Description","text":"These settings are only used when saving to [[TiddlySpot|http://tiddlyspot.com]], [[TiddlyHost|https://tiddlyhost.com]], or a compatible remote server. See [[here|https://github.com/simonbaird/tiddlyhost/wiki/TiddlySpot-Saver-configuration-for-Tiddlyhost-and-Tiddlyspot]] for information on ~TiddlySpot and ~TiddlyHost saving configuration."},"$:/language/ControlPanel/Saving/TiddlySpot/Filename":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Filename","text":"Upload Filename"},"$:/language/ControlPanel/Saving/TiddlySpot/Heading":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Heading","text":"~TiddlySpot"},"$:/language/ControlPanel/Saving/TiddlySpot/Hint":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Hint","text":"//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"},"$:/language/ControlPanel/Saving/TiddlySpot/Password":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Password","text":"Password"},"$:/language/ControlPanel/Saving/TiddlySpot/ReadOnly":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/ReadOnly","text":"Note that [[TiddlySpot|http://tiddlyspot.com]] no longer allows the creation of new sites. For new sites, you can use [[TiddlyHost|https://tiddlyhost.com]], a new hosting service that replaces ~TiddlySpot."},"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL","text":"Server URL"},"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir","text":"Upload Directory"},"$:/language/ControlPanel/Saving/TiddlySpot/UserName":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/UserName","text":"Wiki Name"},"$:/language/ControlPanel/Settings/AutoSave/Caption":{"title":"$:/language/ControlPanel/Settings/AutoSave/Caption","text":"Autosave"},"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description":{"title":"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description","text":"Do not save changes automatically"},"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description":{"title":"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description","text":"Save changes automatically"},"$:/language/ControlPanel/Settings/AutoSave/Hint":{"title":"$:/language/ControlPanel/Settings/AutoSave/Hint","text":"Attempt to automatically save changes during editing when using a supporting saver"},"$:/language/ControlPanel/Settings/CamelCase/Caption":{"title":"$:/language/ControlPanel/Settings/CamelCase/Caption","text":"Camel Case Wiki Links"},"$:/language/ControlPanel/Settings/CamelCase/Hint":{"title":"$:/language/ControlPanel/Settings/CamelCase/Hint","text":"You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"},"$:/language/ControlPanel/Settings/CamelCase/Description":{"title":"$:/language/ControlPanel/Settings/CamelCase/Description","text":"Enable automatic ~CamelCase linking"},"$:/language/ControlPanel/Settings/Caption":{"title":"$:/language/ControlPanel/Settings/Caption","text":"Settings"},"$:/language/ControlPanel/Settings/EditorToolbar/Caption":{"title":"$:/language/ControlPanel/Settings/EditorToolbar/Caption","text":"Editor Toolbar"},"$:/language/ControlPanel/Settings/EditorToolbar/Hint":{"title":"$:/language/ControlPanel/Settings/EditorToolbar/Hint","text":"Enable or disable the editor toolbar:"},"$:/language/ControlPanel/Settings/EditorToolbar/Description":{"title":"$:/language/ControlPanel/Settings/EditorToolbar/Description","text":"Show editor toolbar"},"$:/language/ControlPanel/Settings/InfoPanelMode/Caption":{"title":"$:/language/ControlPanel/Settings/InfoPanelMode/Caption","text":"Tiddler Info Panel Mode"},"$:/language/ControlPanel/Settings/InfoPanelMode/Hint":{"title":"$:/language/ControlPanel/Settings/InfoPanelMode/Hint","text":"Control when the tiddler info panel closes:"},"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description":{"title":"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description","text":"Tiddler info panel closes automatically"},"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description":{"title":"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description","text":"Tiddler info panel stays open until explicitly closed"},"$:/language/ControlPanel/Settings/Hint":{"title":"$:/language/ControlPanel/Settings/Hint","text":"These settings let you customise the behaviour of TiddlyWiki."},"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption","text":"Navigation Address Bar"},"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint","text":"Behaviour of the browser address bar when navigating to a tiddler:"},"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description","text":"Do not update the address bar"},"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description","text":"Include the target tiddler"},"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description","text":"Include the target tiddler and the current story sequence"},"$:/language/ControlPanel/Settings/NavigationHistory/Caption":{"title":"$:/language/ControlPanel/Settings/NavigationHistory/Caption","text":"Navigation History"},"$:/language/ControlPanel/Settings/NavigationHistory/Hint":{"title":"$:/language/ControlPanel/Settings/NavigationHistory/Hint","text":"Update browser history when navigating to a tiddler:"},"$:/language/ControlPanel/Settings/NavigationHistory/No/Description":{"title":"$:/language/ControlPanel/Settings/NavigationHistory/No/Description","text":"Do not update history"},"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description":{"title":"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description","text":"Update history"},"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption":{"title":"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption","text":"Permalink/permaview Mode"},"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint":{"title":"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint","text":"Choose how permalink/permaview is handled:"},"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description":{"title":"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description","text":"Copy permalink/permaview URL to clipboard"},"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description":{"title":"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description","text":"Update address bar with permalink/permaview URL"},"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption":{"title":"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption","text":"Performance Instrumentation"},"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint":{"title":"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint","text":"Displays performance statistics in the browser developer console. Requires reload to take effect"},"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description":{"title":"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description","text":"Enable performance instrumentation"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption","text":"Toolbar Button Style"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint","text":"Choose the style for toolbar buttons:"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless","text":"Borderless"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed","text":"Boxed"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded","text":"Rounded"},"$:/language/ControlPanel/Settings/ToolbarButtons/Caption":{"title":"$:/language/ControlPanel/Settings/ToolbarButtons/Caption","text":"Toolbar Buttons"},"$:/language/ControlPanel/Settings/ToolbarButtons/Hint":{"title":"$:/language/ControlPanel/Settings/ToolbarButtons/Hint","text":"Default toolbar button appearance:"},"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description":{"title":"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description","text":"Include icon"},"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description":{"title":"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description","text":"Include text"},"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption":{"title":"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption","text":"Default Sidebar Tab"},"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint":{"title":"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint","text":"Specify which sidebar tab is displayed by default"},"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption":{"title":"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption","text":"Default More Sidebar Tab"},"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint":{"title":"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint","text":"Specify which More sidebar tab is displayed by default"},"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption","text":"Tiddler Opening Behaviour"},"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint","text":"Navigation from //within// the story river"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint","text":"Navigation from //outside// the story river"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove","text":"Open above the current tiddler"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow","text":"Open below the current tiddler"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop","text":"Open at the top of the story river"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom","text":"Open at the bottom of the story river"},"$:/language/ControlPanel/Settings/TitleLinks/Caption":{"title":"$:/language/ControlPanel/Settings/TitleLinks/Caption","text":"Tiddler Titles"},"$:/language/ControlPanel/Settings/TitleLinks/Hint":{"title":"$:/language/ControlPanel/Settings/TitleLinks/Hint","text":"Optionally display tiddler titles as links"},"$:/language/ControlPanel/Settings/TitleLinks/No/Description":{"title":"$:/language/ControlPanel/Settings/TitleLinks/No/Description","text":"Do not display tiddler titles as 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Short/Day/5","text":"Fri"},"$:/language/Date/Short/Day/6":{"title":"$:/language/Date/Short/Day/6","text":"Sat"},"$:/language/Date/Short/Month/1":{"title":"$:/language/Date/Short/Month/1","text":"Jan"},"$:/language/Date/Short/Month/2":{"title":"$:/language/Date/Short/Month/2","text":"Feb"},"$:/language/Date/Short/Month/3":{"title":"$:/language/Date/Short/Month/3","text":"Mar"},"$:/language/Date/Short/Month/4":{"title":"$:/language/Date/Short/Month/4","text":"Apr"},"$:/language/Date/Short/Month/5":{"title":"$:/language/Date/Short/Month/5","text":"May"},"$:/language/Date/Short/Month/6":{"title":"$:/language/Date/Short/Month/6","text":"Jun"},"$:/language/Date/Short/Month/7":{"title":"$:/language/Date/Short/Month/7","text":"Jul"},"$:/language/Date/Short/Month/8":{"title":"$:/language/Date/Short/Month/8","text":"Aug"},"$:/language/Date/Short/Month/9":{"title":"$:/language/Date/Short/Month/9","text":"Sep"},"$:/language/Date/Short/Month/10":{"title":"$:/language/Date/Short/Month/10","text":"Oct"},"$:/language/Date/Short/Month/11":{"title":"$:/language/Date/Short/Month/11","text":"Nov"},"$:/language/Date/Short/Month/12":{"title":"$:/language/Date/Short/Month/12","text":"Dec"},"$:/language/RelativeDate/Future/Days":{"title":"$:/language/RelativeDate/Future/Days","text":"<<period>> 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text"},"$:/language/Docs/PaletteColours/sidebar-button-foreground":{"title":"$:/language/Docs/PaletteColours/sidebar-button-foreground","text":"Sidebar button foreground"},"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover":{"title":"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover","text":"Sidebar controls foreground hover"},"$:/language/Docs/PaletteColours/sidebar-controls-foreground":{"title":"$:/language/Docs/PaletteColours/sidebar-controls-foreground","text":"Sidebar controls foreground"},"$:/language/Docs/PaletteColours/sidebar-foreground-shadow":{"title":"$:/language/Docs/PaletteColours/sidebar-foreground-shadow","text":"Sidebar foreground shadow"},"$:/language/Docs/PaletteColours/sidebar-foreground":{"title":"$:/language/Docs/PaletteColours/sidebar-foreground","text":"Sidebar foreground"},"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover":{"title":"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover","text":"Sidebar 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foreground"},"$:/language/Docs/PaletteColours/tiddler-editor-background":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-background","text":"Tiddler editor background"},"$:/language/Docs/PaletteColours/tiddler-editor-border-image":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-border-image","text":"Tiddler editor border image"},"$:/language/Docs/PaletteColours/tiddler-editor-border":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-border","text":"Tiddler editor border"},"$:/language/Docs/PaletteColours/tiddler-editor-fields-even":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-fields-even","text":"Tiddler editor background for even fields"},"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd","text":"Tiddler editor background for odd fields"},"$:/language/Docs/PaletteColours/tiddler-info-background":{"title":"$:/language/Docs/PaletteColours/tiddler-info-background","text":"Tiddler info panel background"},"$:/language/Docs/PaletteColours/tiddler-info-border":{"title":"$:/language/Docs/PaletteColours/tiddler-info-border","text":"Tiddler info panel border"},"$:/language/Docs/PaletteColours/tiddler-info-tab-background":{"title":"$:/language/Docs/PaletteColours/tiddler-info-tab-background","text":"Tiddler info panel tab background"},"$:/language/Docs/PaletteColours/tiddler-link-background":{"title":"$:/language/Docs/PaletteColours/tiddler-link-background","text":"Tiddler link background"},"$:/language/Docs/PaletteColours/tiddler-link-foreground":{"title":"$:/language/Docs/PaletteColours/tiddler-link-foreground","text":"Tiddler link foreground"},"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground":{"title":"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground","text":"Tiddler subtitle 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foreground"},"$:/language/Docs/PaletteColours/toolbar-close-button":{"title":"$:/language/Docs/PaletteColours/toolbar-close-button","text":"Toolbar 'close' button foreground"},"$:/language/Docs/PaletteColours/toolbar-delete-button":{"title":"$:/language/Docs/PaletteColours/toolbar-delete-button","text":"Toolbar 'delete' button foreground"},"$:/language/Docs/PaletteColours/toolbar-cancel-button":{"title":"$:/language/Docs/PaletteColours/toolbar-cancel-button","text":"Toolbar 'cancel' button foreground"},"$:/language/Docs/PaletteColours/toolbar-done-button":{"title":"$:/language/Docs/PaletteColours/toolbar-done-button","text":"Toolbar 'done' button foreground"},"$:/language/Docs/PaletteColours/untagged-background":{"title":"$:/language/Docs/PaletteColours/untagged-background","text":"Untagged pill background"},"$:/language/Docs/PaletteColours/very-muted-foreground":{"title":"$:/language/Docs/PaletteColours/very-muted-foreground","text":"Very muted foreground"},"$:/language/EditTemplate/Caption":{"title":"$:/language/EditTemplate/Caption","text":"Editor"},"$:/language/EditTemplate/Body/External/Hint":{"title":"$:/language/EditTemplate/Body/External/Hint","text":"This tiddler shows content stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"},"$:/language/EditTemplate/Body/Placeholder":{"title":"$:/language/EditTemplate/Body/Placeholder","text":"Type the text for this tiddler"},"$:/language/EditTemplate/Body/Preview/Type/Output":{"title":"$:/language/EditTemplate/Body/Preview/Type/Output","text":"output"},"$:/language/EditTemplate/Body/Preview/Type/DiffShadow":{"title":"$:/language/EditTemplate/Body/Preview/Type/DiffShadow","text":"differences from shadow (if any)"},"$:/language/EditTemplate/Body/Preview/Type/DiffCurrent":{"title":"$:/language/EditTemplate/Body/Preview/Type/DiffCurrent","text":"differences from current"},"$:/language/EditTemplate/Field/Remove/Caption":{"title":"$:/language/EditTemplate/Field/Remove/Caption","text":"remove field"},"$:/language/EditTemplate/Field/Remove/Hint":{"title":"$:/language/EditTemplate/Field/Remove/Hint","text":"Remove field"},"$:/language/EditTemplate/Field/Dropdown/Caption":{"title":"$:/language/EditTemplate/Field/Dropdown/Caption","text":"field list"},"$:/language/EditTemplate/Field/Dropdown/Hint":{"title":"$:/language/EditTemplate/Field/Dropdown/Hint","text":"Show field list"},"$:/language/EditTemplate/Fields/Add/Button":{"title":"$:/language/EditTemplate/Fields/Add/Button","text":"add"},"$:/language/EditTemplate/Fields/Add/Button/Hint":{"title":"$:/language/EditTemplate/Fields/Add/Button/Hint","text":"Add the new field to the tiddler"},"$:/language/EditTemplate/Fields/Add/Name/Placeholder":{"title":"$:/language/EditTemplate/Fields/Add/Name/Placeholder","text":"field name"},"$:/language/EditTemplate/Fields/Add/Prompt":{"title":"$:/language/EditTemplate/Fields/Add/Prompt","text":"Add a new field:"},"$:/language/EditTemplate/Fields/Add/Value/Placeholder":{"title":"$:/language/EditTemplate/Fields/Add/Value/Placeholder","text":"field value"},"$:/language/EditTemplate/Fields/Add/Dropdown/System":{"title":"$:/language/EditTemplate/Fields/Add/Dropdown/System","text":"System fields"},"$:/language/EditTemplate/Fields/Add/Dropdown/User":{"title":"$:/language/EditTemplate/Fields/Add/Dropdown/User","text":"User fields"},"$:/language/EditTemplate/Shadow/Warning":{"title":"$:/language/EditTemplate/Shadow/Warning","text":"This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"},"$:/language/EditTemplate/Shadow/OverriddenWarning":{"title":"$:/language/EditTemplate/Shadow/OverriddenWarning","text":"This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"},"$:/language/EditTemplate/Tags/Add/Button":{"title":"$:/language/EditTemplate/Tags/Add/Button","text":"add"},"$:/language/EditTemplate/Tags/Add/Button/Hint":{"title":"$:/language/EditTemplate/Tags/Add/Button/Hint","text":"add tag"},"$:/language/EditTemplate/Tags/Add/Placeholder":{"title":"$:/language/EditTemplate/Tags/Add/Placeholder","text":"tag name"},"$:/language/EditTemplate/Tags/ClearInput/Caption":{"title":"$:/language/EditTemplate/Tags/ClearInput/Caption","text":"clear input"},"$:/language/EditTemplate/Tags/ClearInput/Hint":{"title":"$:/language/EditTemplate/Tags/ClearInput/Hint","text":"Clear tag input"},"$:/language/EditTemplate/Tags/Dropdown/Caption":{"title":"$:/language/EditTemplate/Tags/Dropdown/Caption","text":"tag list"},"$:/language/EditTemplate/Tags/Dropdown/Hint":{"title":"$:/language/EditTemplate/Tags/Dropdown/Hint","text":"Show tag list"},"$:/language/EditTemplate/Title/BadCharacterWarning":{"title":"$:/language/EditTemplate/Title/BadCharacterWarning","text":"Warning: avoid using any of the characters <<bad-chars>> in tiddler titles"},"$:/language/EditTemplate/Title/Exists/Prompt":{"title":"$:/language/EditTemplate/Title/Exists/Prompt","text":"Target tiddler already exists"},"$:/language/EditTemplate/Title/Relink/Prompt":{"title":"$:/language/EditTemplate/Title/Relink/Prompt","text":"Update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' in the //tags// and //list// fields of other tiddlers"},"$:/language/EditTemplate/Title/References/Prompt":{"title":"$:/language/EditTemplate/Title/References/Prompt","text":"The following references to this tiddler will not be automatically updated:"},"$:/language/EditTemplate/Type/Dropdown/Caption":{"title":"$:/language/EditTemplate/Type/Dropdown/Caption","text":"content type list"},"$:/language/EditTemplate/Type/Dropdown/Hint":{"title":"$:/language/EditTemplate/Type/Dropdown/Hint","text":"Show content type list"},"$:/language/EditTemplate/Type/Delete/Caption":{"title":"$:/language/EditTemplate/Type/Delete/Caption","text":"delete content type"},"$:/language/EditTemplate/Type/Delete/Hint":{"title":"$:/language/EditTemplate/Type/Delete/Hint","text":"Delete content type"},"$:/language/EditTemplate/Type/Placeholder":{"title":"$:/language/EditTemplate/Type/Placeholder","text":"content type"},"$:/language/EditTemplate/Type/Prompt":{"title":"$:/language/EditTemplate/Type/Prompt","text":"Type:"},"$:/language/Exporters/StaticRiver":{"title":"$:/language/Exporters/StaticRiver","text":"Static HTML"},"$:/language/Exporters/JsonFile":{"title":"$:/language/Exporters/JsonFile","text":"JSON file"},"$:/language/Exporters/CsvFile":{"title":"$:/language/Exporters/CsvFile","text":"CSV file"},"$:/language/Exporters/TidFile":{"title":"$:/language/Exporters/TidFile","text":"TID text file"},"$:/language/Docs/Fields/_canonical_uri":{"title":"$:/language/Docs/Fields/_canonical_uri","text":"The full URI of an external image tiddler"},"$:/language/Docs/Fields/author":{"title":"$:/language/Docs/Fields/author","text":"Name of the author of a plugin"},"$:/language/Docs/Fields/bag":{"title":"$:/language/Docs/Fields/bag","text":"The name of the bag from which a tiddler came"},"$:/language/Docs/Fields/caption":{"title":"$:/language/Docs/Fields/caption","text":"The text to be displayed on a tab or button"},"$:/language/Docs/Fields/code-body":{"title":"$:/language/Docs/Fields/code-body","text":"The view template will display the tiddler as code if set to ''yes''"},"$:/language/Docs/Fields/color":{"title":"$:/language/Docs/Fields/color","text":"The CSS color value associated with a tiddler"},"$:/language/Docs/Fields/component":{"title":"$:/language/Docs/Fields/component","text":"The name of the component responsible for an [[alert tiddler|AlertMechanism]]"},"$:/language/Docs/Fields/core-version":{"title":"$:/language/Docs/Fields/core-version","text":"For a plugin, indicates what version of TiddlyWiki with which it is compatible"},"$:/language/Docs/Fields/current-tiddler":{"title":"$:/language/Docs/Fields/current-tiddler","text":"Used to cache the top tiddler in a [[history list|HistoryMechanism]]"},"$:/language/Docs/Fields/created":{"title":"$:/language/Docs/Fields/created","text":"The date a tiddler was created"},"$:/language/Docs/Fields/creator":{"title":"$:/language/Docs/Fields/creator","text":"The name of the person who created a tiddler"},"$:/language/Docs/Fields/dependents":{"title":"$:/language/Docs/Fields/dependents","text":"For a plugin, lists the dependent plugin titles"},"$:/language/Docs/Fields/description":{"title":"$:/language/Docs/Fields/description","text":"The descriptive text for a plugin, or a modal dialogue"},"$:/language/Docs/Fields/draft.of":{"title":"$:/language/Docs/Fields/draft.of","text":"For draft tiddlers, contains the title of the tiddler of which this is a draft"},"$:/language/Docs/Fields/draft.title":{"title":"$:/language/Docs/Fields/draft.title","text":"For draft tiddlers, contains the proposed new title of the tiddler"},"$:/language/Docs/Fields/footer":{"title":"$:/language/Docs/Fields/footer","text":"The footer text for a modal"},"$:/language/Docs/Fields/hide-body":{"title":"$:/language/Docs/Fields/hide-body","text":"The view template will hide bodies of tiddlers if set to ''yes''"},"$:/language/Docs/Fields/icon":{"title":"$:/language/Docs/Fields/icon","text":"The title of the tiddler containing the icon associated with a tiddler"},"$:/language/Docs/Fields/library":{"title":"$:/language/Docs/Fields/library","text":"Indicates that a tiddler should be saved as a JavaScript library if set to ''yes''"},"$:/language/Docs/Fields/list":{"title":"$:/language/Docs/Fields/list","text":"An ordered list of tiddler titles associated with a tiddler"},"$:/language/Docs/Fields/list-before":{"title":"$:/language/Docs/Fields/list-before","text":"If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"},"$:/language/Docs/Fields/list-after":{"title":"$:/language/Docs/Fields/list-after","text":"If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles, or at the end of the list if this field is present but empty"},"$:/language/Docs/Fields/modified":{"title":"$:/language/Docs/Fields/modified","text":"The date and time at which a tiddler was last modified"},"$:/language/Docs/Fields/modifier":{"title":"$:/language/Docs/Fields/modifier","text":"The tiddler title associated with the person who last modified a tiddler"},"$:/language/Docs/Fields/module-type":{"title":"$:/language/Docs/Fields/module-type","text":"For javascript tiddlers, specifies what kind of module it is"},"$:/language/Docs/Fields/name":{"title":"$:/language/Docs/Fields/name","text":"The human readable name associated with a plugin tiddler"},"$:/language/Docs/Fields/parent-plugin":{"title":"$:/language/Docs/Fields/parent-plugin","text":"For a plugin, specifies which plugin of which it is a sub-plugin"},"$:/language/Docs/Fields/plugin-priority":{"title":"$:/language/Docs/Fields/plugin-priority","text":"A numerical value indicating the priority of a plugin tiddler"},"$:/language/Docs/Fields/plugin-type":{"title":"$:/language/Docs/Fields/plugin-type","text":"The type of plugin in a plugin tiddler"},"$:/language/Docs/Fields/revision":{"title":"$:/language/Docs/Fields/revision","text":"The revision of the tiddler held at the server"},"$:/language/Docs/Fields/released":{"title":"$:/language/Docs/Fields/released","text":"Date of a TiddlyWiki release"},"$:/language/Docs/Fields/source":{"title":"$:/language/Docs/Fields/source","text":"The source URL associated with a tiddler"},"$:/language/Docs/Fields/subtitle":{"title":"$:/language/Docs/Fields/subtitle","text":"The subtitle text for a modal"},"$:/language/Docs/Fields/tags":{"title":"$:/language/Docs/Fields/tags","text":"A list of tags associated with a tiddler"},"$:/language/Docs/Fields/text":{"title":"$:/language/Docs/Fields/text","text":"The body text of a tiddler"},"$:/language/Docs/Fields/throttle.refresh":{"title":"$:/language/Docs/Fields/throttle.refresh","text":"If present, throttles refreshes of this tiddler"},"$:/language/Docs/Fields/title":{"title":"$:/language/Docs/Fields/title","text":"The unique name of a tiddler"},"$:/language/Docs/Fields/toc-link":{"title":"$:/language/Docs/Fields/toc-link","text":"Suppresses the tiddler's link in a Table of Contents tree if set to ''no''"},"$:/language/Docs/Fields/type":{"title":"$:/language/Docs/Fields/type","text":"The content type of a tiddler"},"$:/language/Docs/Fields/version":{"title":"$:/language/Docs/Fields/version","text":"Version information for a plugin"},"$:/language/Docs/Fields/_is_skinny":{"title":"$:/language/Docs/Fields/_is_skinny","text":"If present, indicates that the tiddler text field must be loaded from the server"},"$:/language/Filters/AllTiddlers":{"title":"$:/language/Filters/AllTiddlers","text":"All tiddlers except system tiddlers"},"$:/language/Filters/RecentSystemTiddlers":{"title":"$:/language/Filters/RecentSystemTiddlers","text":"Recently modified tiddlers, including system tiddlers"},"$:/language/Filters/RecentTiddlers":{"title":"$:/language/Filters/RecentTiddlers","text":"Recently modified tiddlers"},"$:/language/Filters/AllTags":{"title":"$:/language/Filters/AllTags","text":"All tags except system tags"},"$:/language/Filters/Missing":{"title":"$:/language/Filters/Missing","text":"Missing tiddlers"},"$:/language/Filters/Drafts":{"title":"$:/language/Filters/Drafts","text":"Draft tiddlers"},"$:/language/Filters/Orphans":{"title":"$:/language/Filters/Orphans","text":"Orphan tiddlers"},"$:/language/Filters/SystemTiddlers":{"title":"$:/language/Filters/SystemTiddlers","text":"System tiddlers"},"$:/language/Filters/ShadowTiddlers":{"title":"$:/language/Filters/ShadowTiddlers","text":"Shadow tiddlers"},"$:/language/Filters/OverriddenShadowTiddlers":{"title":"$:/language/Filters/OverriddenShadowTiddlers","text":"Overridden shadow tiddlers"},"$:/language/Filters/SessionTiddlers":{"title":"$:/language/Filters/SessionTiddlers","text":"Tiddlers modified since the wiki was loaded"},"$:/language/Filters/SystemTags":{"title":"$:/language/Filters/SystemTags","text":"System tags"},"$:/language/Filters/StoryList":{"title":"$:/language/Filters/StoryList","text":"Tiddlers in the story river, excluding <$text text=\"$:/AdvancedSearch\"/>"},"$:/language/Filters/TypedTiddlers":{"title":"$:/language/Filters/TypedTiddlers","text":"Non wiki-text tiddlers"},"GettingStarted":{"title":"GettingStarted","text":"\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is vital to make sure that you can reliably save changes. See https://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|tc-table-no-border tc-first-col-min-width tc-first-link-nowrap|k\n| <$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link>|<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n| <$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link>|<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|^ <$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link><br><<lingo DefaultTiddlers/TopHint>>|<$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"},"$:/language/Help/build":{"title":"$:/language/Help/build","description":"Automatically run configured commands","text":"Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"},"$:/language/Help/clearpassword":{"title":"$:/language/Help/clearpassword","description":"Clear a password for subsequent crypto operations","text":"Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"},"$:/language/Help/commands":{"title":"$:/language/Help/commands","description":"Run commands returned from a filter","text":"Sequentially run the command tokens returned from a filter\n\n```\n--commands <filter>\n```\n\nExamples\n\n```\n--commands \"[enlist:raw{$:/build-commands-as-text}]\"\n```\n\n```\n--commands \"[{$:/build-commands-as-json}jsonindexes[]] :map[{$:/build-commands-as-json}jsonget<currentTiddler>]\"\n```\n"},"$:/language/Help/default":{"title":"$:/language/Help/default","text":"\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n\\whitespace trim\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>:\n&#32;\n<$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"},"$:/language/Help/deletetiddlers":{"title":"$:/language/Help/deletetiddlers","description":"Deletes a group of tiddlers","text":"<<.from-version \"5.1.20\">> Deletes a group of tiddlers identified by a filter.\n\n```\n--deletetiddlers <filter>\n```\n"},"$:/language/Help/editions":{"title":"$:/language/Help/editions","description":"Lists the available editions of TiddlyWiki","text":"Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"},"$:/language/Help/fetch":{"title":"$:/language/Help/fetch","description":"Fetch tiddlers from wiki by URL","text":"Fetch one or more files over HTTP/HTTPS, and import the tiddlers matching a filter, optionally transforming the incoming titles.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nThe \"file\" and \"files\" variants fetch the specified files and attempt to import the tiddlers within them (the same processing as if the files were dragged into the browser window). The \"raw-file\" and \"raw-files\" variants fetch the specified files and then store the raw file data in tiddlers, without applying the import logic.\n\nWith the \"file\" and \"raw-file\" variants only a single file is fetched and the first parameter is the URL of the file to read.\n\nWith the \"files\" and \"raw-files\" variants, multiple files are fetched and the first parameter is a filter yielding a list of URLs of the files to read. For example, given a set of tiddlers tagged \"remote-server\" that have a field \"url\" the filter `[tag[remote-server]get[url]]` will retrieve all the available URLs.\n\nFor the \"file\" and \"files\" variants, the `<import-filter>` parameter specifies a filter determining which tiddlers are imported. It defaults to `[all[tiddlers]]` if not provided.\n\nFor all variants, the `<transform-filter>` parameter specifies an optional filter that transforms the titles of the imported tiddlers. For example, `[addprefix[$:/myimports/]]` would add the prefix `$:/myimports/` to each title.\n\nPreceding the `--fetch` command with `--verbose` will output progress information during the import.\n\nNote that TiddlyWiki will not fetch an older version of an already loaded plugin.\n\nThe following example retrieves all the non-system tiddlers from https://tiddlywiki.com and saves them to a JSON file:\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nThe following example retrieves the \"favicon\" file from tiddlywiki.com and saves it in a file called \"output.ico\". Note that the intermediate tiddler \"Icon Tiddler\" is quoted in the \"--fetch\" command because it is being used as a transformation filter to replace the default title, while there are no quotes for the \"--savetiddler\" command because it is being used directly as a title.\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n"},"$:/language/Help/help":{"title":"$:/language/Help/help","description":"Display help for TiddlyWiki commands","text":"Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"},"$:/language/Help/import":{"title":"$:/language/Help/import","description":"Import tiddlers from a file","text":"Import tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The deserializer must be explicitly specified, unlike the `load` command which infers the deserializer from the file extension.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nThe deserializers in the core include:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nThe title of the imported tiddler defaults to the filename.\n\nThe encoding defaults to \"utf8\", but can be \"base64\" for importing binary files.\n\nNote that TiddlyWiki will not import an older version of an already loaded plugin.\n"},"$:/language/Help/init":{"title":"$:/language/Help/init","description":"Initialise a new wiki folder","text":"Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"},"$:/language/Help/listen":{"title":"$:/language/Help/listen","description":"Provides an HTTP server interface to TiddlyWiki","text":"Serves a wiki over HTTP.\n\nThe listen command uses NamedCommandParameters:\n\n```\n--listen [<name>=<value>]...\n```\n\nAll parameters are optional with safe defaults, and can be specified in any order. The recognised parameters are:\n\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''credentials'' - pathname of credentials CSV file (relative to wiki folder)\n* ''anon-username'' - the username for signing edits for anonymous users\n* ''username'' - optional username for basic authentication\n* ''password'' - optional password for basic authentication\n* ''authenticated-user-header'' - optional name of request header to be used for trusted authentication.\n* ''readers'' - comma-separated list of principals allowed to read from this wiki\n* ''writers'' - comma-separated list of principals allowed to write to this wiki\n* ''csrf-disable'' - set to \"yes\" to disable CSRF checks (defaults to \"no\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''tls-cert'' - pathname of TLS certificate file (relative to wiki folder)\n* ''tls-key'' - pathname of TLS key file (relative to wiki folder)\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n* ''gzip'' - set to \"yes\" to enable gzip compression for some http endpoints (defaults to \"no\")\n* ''use-browser-cache'' - set to \"yes\" to allow the browser to cache responses to save bandwidth (defaults to \"no\")\n\nFor information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\n"},"$:/language/Help/load":{"title":"$:/language/Help/load","description":"Load tiddlers from a file","text":"Load tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The processing applied to incoming files is determined by the file extension. Use the alternative `import` command if you need to specify the deserializer and encoding explicitly.\n\n```\n--load <filepath> [noerror]\n--load <dirpath> [noerror]\n```\n\nBy default, the load command raises an error if no tiddlers are found. The error can be suppressed by providing the optional \"noerror\" parameter.\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"},"$:/language/Help/makelibrary":{"title":"$:/language/Help/makelibrary","description":"Construct library plugin required by upgrade process","text":"Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"},"$:/language/Help/notfound":{"title":"$:/language/Help/notfound","text":"No such help item"},"$:/language/Help/output":{"title":"$:/language/Help/output","description":"Set the base output directory for subsequent commands","text":"Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"},"$:/language/Help/password":{"title":"$:/language/Help/password","description":"Set a password for subsequent crypto operations","text":"Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"},"$:/language/Help/render":{"title":"$:/language/Help/render","description":"Renders individual tiddlers to files","text":"Render individual tiddlers identified by a filter and save the results to the specified files.\n\nOptionally, the title of a template tiddler can be specified. In this case, instead of directly rendering each tiddler, the template tiddler is rendered with the \"currentTiddler\" variable set to the title of the tiddler that is being rendered.\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [ [<name>] [<value>] ]*\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be rendered\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]addsuffix[.html]]`, which uses the unchanged tiddler title as the filename\n* ''render-type'': Optional render type: `text/html` (the default) returns the full HTML text and `text/plain` just returns the text content (ie it ignores HTML tags and other unprintable material)\n* ''template'': Optional template through which each tiddler is rendered\n* ''name'': Name of optional variables\n* ''value'': Value of optional variables\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When referring to a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets: `--render \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being rendered, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* Multiple ''name''/''value'' pairs can be used to pass more than one variable\n* The `--render` command is a more flexible replacement for both the `--rendertiddler` and `--rendertiddlers` commands, which are deprecated\n\nExamples:\n\n* `--render '[!is[system]]' '[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]'` -- renders all non-system tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles and the extension HTML\n* `--render '.' 'tiddlers.json' 'text/plain' '$:/core/templates/exporters/JsonFile' 'exportFilter' '[tag[HelloThere]]'` -- renders the tiddlers tagged \"HelloThere\" to a JSON file named \"tiddlers.json\"\n"},"$:/language/Help/rendertiddler":{"title":"$:/language/Help/rendertiddler","description":"Render an individual tiddler as a specified ContentType","text":"(Note: The `--rendertiddler` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename.\n\nOptionally the title of a template tiddler can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n\nFor example, the following command saves all tiddlers matching the filter `[tag[done]]` to a JSON file titled `output.json` by employing the core template `$:/core/templates/exporters/JsonFile`.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"},"$:/language/Help/rendertiddlers":{"title":"$:/language/Help/rendertiddlers","description":"Render tiddlers matching a filter to a specified ContentType","text":"(Note: The `--rendertiddlers` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers '<filter>' <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers '[!is[system]]' $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"},"$:/language/Help/save":{"title":"$:/language/Help/save","description":"Saves individual raw tiddlers to files","text":"Saves individual tiddlers identified by a filter in their raw text or binary format to the specified files.\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be saved\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]]`, which uses the unchanged tiddler title as the filename\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When saving a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets: `--save \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being saved, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--save` command is a more flexible replacement for both the `--savetiddler` and `--savetiddlers` commands, which are deprecated\n\nExamples:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- saves all non-system image tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles\n"},"$:/language/Help/savetiddler":{"title":"$:/language/Help/savetiddler","description":"Saves a raw tiddler to a file","text":"(Note: The `--savetiddler` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"},"$:/language/Help/savetiddlers":{"title":"$:/language/Help/savetiddlers","description":"Saves a group of raw tiddlers to a directory","text":"(Note: The `--savetiddlers` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"},"$:/language/Help/savewikifolder":{"title":"$:/language/Help/savewikifolder","description":"Saves a wiki to a new wiki folder","text":"<<.from-version \"5.1.20\">> Saves the current wiki as a wiki folder, including tiddlers, plugins and configuration:\n\n```\n--savewikifolder <wikifolderpath> [<filter>] [ [<name>=<value>] ]*\n```\n\n* The target wiki folder must be empty or non-existent\n* The filter specifies which tiddlers should be included. It is optional, defaulting to `[all[tiddlers]]`\n* Plugins from the official plugin library are replaced with references to those plugins in the `tiddlywiki.info` file\n* Custom plugins are unpacked into their own folder\n\nThe following options are supported:\n\n* ''filter'': a filter expression that defines the tiddlers to include in the output.\n* ''explodePlugins'': defaults to \"yes\"\n** ''yes'' will \"explode\" plugins into separate tiddler files and save them to the plugin directory within the wiki folder\n** ''no'' will suppress exploding plugins into their constituent tiddler files. It will save the plugin as a single JSON tiddler in the tiddlers folder\n\nNote that both ''explodePlugins'' options will produce wiki folders that build the exact same original wiki. The difference lies in how plugins are represented in the wiki folder.\n\nA common usage is to convert a TiddlyWiki HTML file into a wiki folder:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder\n```\n\nSave the plugin to the tiddlers directory of the target wiki folder:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder explodePlugins=no\n```\n"},"$:/language/Help/server":{"title":"$:/language/Help/server","description":"(deprecated: see 'listen' command) Provides an HTTP server interface to TiddlyWiki","text":"Legacy command to serve a wiki over HTTP.\n\n```\n--server <port> <root-tiddler> <root-render-type> <root-serve-type> <username> <password> <host> <path-prefix> <debug-level>\n```\n\nThe parameters are:\n\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation should only be used on a trusted network or over HTTPS.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password.\n\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nUsing an address like this exposes your system to the local network. For information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port. It can be useful to use an environment variable to pass the port number to the Node.js process. This example references an environment variable called \"MY_PORT_NUMBER\":\n\n```\n--server MY_PORT_NUMBER $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n"},"$:/language/Help/setfield":{"title":"$:/language/Help/setfield","description":"Prepares external tiddlers for use","text":"//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"},"$:/language/Help/unpackplugin":{"title":"$:/language/Help/unpackplugin","description":"Unpack the payload tiddlers from a plugin","text":"Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"},"$:/language/Help/verbose":{"title":"$:/language/Help/verbose","description":"Triggers verbose output mode","text":"Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"},"$:/language/Help/version":{"title":"$:/language/Help/version","description":"Displays the version number of TiddlyWiki","text":"Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"},"$:/language/Import/Editor/Import/Heading":{"title":"$:/language/Import/Editor/Import/Heading","text":"Import images and insert them into the editor."},"$:/language/Import/Imported/Hint":{"title":"$:/language/Import/Imported/Hint","text":"The following tiddlers were imported:"},"$:/language/Import/Listing/Cancel/Caption":{"title":"$:/language/Import/Listing/Cancel/Caption","text":"Cancel"},"$:/language/Import/Listing/Cancel/Warning":{"title":"$:/language/Import/Listing/Cancel/Warning","text":"Do you wish to cancel the import?"},"$:/language/Import/Listing/Hint":{"title":"$:/language/Import/Listing/Hint","text":"These tiddlers are ready to import:"},"$:/language/Import/Listing/Import/Caption":{"title":"$:/language/Import/Listing/Import/Caption","text":"Import"},"$:/language/Import/Listing/Select/Caption":{"title":"$:/language/Import/Listing/Select/Caption","text":"Select"},"$:/language/Import/Listing/Status/Caption":{"title":"$:/language/Import/Listing/Status/Caption","text":"Status"},"$:/language/Import/Listing/Title/Caption":{"title":"$:/language/Import/Listing/Title/Caption","text":"Title"},"$:/language/Import/Listing/Preview":{"title":"$:/language/Import/Listing/Preview","text":"Preview:"},"$:/language/Import/Listing/Preview/Text":{"title":"$:/language/Import/Listing/Preview/Text","text":"Text"},"$:/language/Import/Listing/Preview/TextRaw":{"title":"$:/language/Import/Listing/Preview/TextRaw","text":"Text (Raw)"},"$:/language/Import/Listing/Preview/Fields":{"title":"$:/language/Import/Listing/Preview/Fields","text":"Fields"},"$:/language/Import/Listing/Preview/Diff":{"title":"$:/language/Import/Listing/Preview/Diff","text":"Diff"},"$:/language/Import/Listing/Preview/DiffFields":{"title":"$:/language/Import/Listing/Preview/DiffFields","text":"Diff (Fields)"},"$:/language/Import/Listing/Rename/Tooltip":{"title":"$:/language/Import/Listing/Rename/Tooltip","text":"Rename tiddler before importing"},"$:/language/Import/Listing/Rename/Prompt":{"title":"$:/language/Import/Listing/Rename/Prompt","text":"Rename to:"},"$:/language/Import/Listing/Rename/ConfirmRename":{"title":"$:/language/Import/Listing/Rename/ConfirmRename","text":"Rename tiddler"},"$:/language/Import/Listing/Rename/CancelRename":{"title":"$:/language/Import/Listing/Rename/CancelRename","text":"Cancel"},"$:/language/Import/Listing/Rename/OverwriteWarning":{"title":"$:/language/Import/Listing/Rename/OverwriteWarning","text":"A tiddler with this title already exists."},"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible":{"title":"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible","text":"Blocked incompatible or obsolete plugin."},"$:/language/Import/Upgrader/Plugins/Suppressed/Version":{"title":"$:/language/Import/Upgrader/Plugins/Suppressed/Version","text":"Blocked plugin (due to incoming <<incoming>> not being newer than existing <<existing>>)."},"$:/language/Import/Upgrader/Plugins/Upgraded":{"title":"$:/language/Import/Upgrader/Plugins/Upgraded","text":"Upgraded plugin from <<incoming>> to <<upgraded>>."},"$:/language/Import/Upgrader/State/Suppressed":{"title":"$:/language/Import/Upgrader/State/Suppressed","text":"Blocked temporary state tiddler."},"$:/language/Import/Upgrader/System/Disabled":{"title":"$:/language/Import/Upgrader/System/Disabled","text":"Disabled system tiddler."},"$:/language/Import/Upgrader/System/Suppressed":{"title":"$:/language/Import/Upgrader/System/Suppressed","text":"Blocked system tiddler."},"$:/language/Import/Upgrader/System/Warning":{"title":"$:/language/Import/Upgrader/System/Warning","text":"Core module tiddler."},"$:/language/Import/Upgrader/System/Alert":{"title":"$:/language/Import/Upgrader/System/Alert","text":"You are about to import a tiddler that will overwrite a core module tiddler. This is not recommended as it may make the system unstable."},"$:/language/Import/Upgrader/ThemeTweaks/Created":{"title":"$:/language/Import/Upgrader/ThemeTweaks/Created","text":"Migrated theme tweak from <$text text=<<from>>/>."},"$:/language/Import/Upgrader/Tiddler/Disabled":{"title":"$:/language/Import/Upgrader/Tiddler/Disabled","text":"Disabled tiddler."},"$:/language/Import/Upgrader/Tiddler/Selected":{"title":"$:/language/Import/Upgrader/Tiddler/Selected","text":"Selected tiddler."},"$:/language/Import/Upgrader/Tiddler/Unselected":{"title":"$:/language/Import/Upgrader/Tiddler/Unselected","text":"Unselected tiddler."},"$:/language/AboveStory/ClassicPlugin/Warning":{"title":"$:/language/AboveStory/ClassicPlugin/Warning","text":"It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|https://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"},"$:/language/BinaryWarning/Prompt":{"title":"$:/language/BinaryWarning/Prompt","text":"This tiddler contains binary data"},"$:/language/ClassicWarning/Hint":{"title":"$:/language/ClassicWarning/Hint","text":"This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See https://tiddlywiki.com/static/Upgrading.html for more details."},"$:/language/ClassicWarning/Upgrade/Caption":{"title":"$:/language/ClassicWarning/Upgrade/Caption","text":"upgrade"},"$:/language/CloseAll/Button":{"title":"$:/language/CloseAll/Button","text":"close all"},"$:/language/ColourPicker/Recent":{"title":"$:/language/ColourPicker/Recent","text":"Recent:"},"$:/language/ConfirmCancelTiddler":{"title":"$:/language/ConfirmCancelTiddler","text":"Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"},"$:/language/ConfirmDeleteTiddler":{"title":"$:/language/ConfirmDeleteTiddler","text":"Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"},"$:/language/ConfirmDeleteTiddlers":{"title":"$:/language/ConfirmDeleteTiddlers","text":"Are you sure you wish to delete <<resultCount>> tiddler(s)?"},"$:/language/ConfirmOverwriteTiddler":{"title":"$:/language/ConfirmOverwriteTiddler","text":"Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"},"$:/language/ConfirmEditShadowTiddler":{"title":"$:/language/ConfirmEditShadowTiddler","text":"You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"},"$:/language/ConfirmAction":{"title":"$:/language/ConfirmAction","text":"Do you wish to proceed?"},"$:/language/Count":{"title":"$:/language/Count","text":"count"},"$:/language/DefaultNewTiddlerTitle":{"title":"$:/language/DefaultNewTiddlerTitle","text":"New Tiddler"},"$:/language/Diffs/CountMessage":{"title":"$:/language/Diffs/CountMessage","text":"<<diff-count>> differences"},"$:/language/DropMessage":{"title":"$:/language/DropMessage","text":"Drop now (or use the 'Escape' key to cancel)"},"$:/language/Encryption/Cancel":{"title":"$:/language/Encryption/Cancel","text":"Cancel"},"$:/language/Encryption/ConfirmClearPassword":{"title":"$:/language/Encryption/ConfirmClearPassword","text":"Do you wish to clear the password? This will remove the encryption applied when saving this wiki"},"$:/language/Encryption/PromptSetPassword":{"title":"$:/language/Encryption/PromptSetPassword","text":"Set a new password for this TiddlyWiki"},"$:/language/Encryption/Username":{"title":"$:/language/Encryption/Username","text":"Username"},"$:/language/Encryption/Password":{"title":"$:/language/Encryption/Password","text":"Password"},"$:/language/Encryption/RepeatPassword":{"title":"$:/language/Encryption/RepeatPassword","text":"Repeat password"},"$:/language/Encryption/PasswordNoMatch":{"title":"$:/language/Encryption/PasswordNoMatch","text":"Passwords do not match"},"$:/language/Encryption/SetPassword":{"title":"$:/language/Encryption/SetPassword","text":"Set password"},"$:/language/Error/Caption":{"title":"$:/language/Error/Caption","text":"Error"},"$:/language/Error/DeserializeOperator/MissingOperand":{"title":"$:/language/Error/DeserializeOperator/MissingOperand","text":"Filter Error: Missing operand for 'deserialize' operator"},"$:/language/Error/DeserializeOperator/UnknownDeserializer":{"title":"$:/language/Error/DeserializeOperator/UnknownDeserializer","text":"Filter Error: Unknown deserializer provided as operand for the 'deserialize' operator"},"$:/language/Error/Filter":{"title":"$:/language/Error/Filter","text":"Filter error"},"$:/language/Error/FilterSyntax":{"title":"$:/language/Error/FilterSyntax","text":"Syntax error in filter expression"},"$:/language/Error/FilterRunPrefix":{"title":"$:/language/Error/FilterRunPrefix","text":"Filter Error: Unknown prefix for filter run"},"$:/language/Error/IsFilterOperator":{"title":"$:/language/Error/IsFilterOperator","text":"Filter Error: Unknown operand for the 'is' filter operator"},"$:/language/Error/FormatFilterOperator":{"title":"$:/language/Error/FormatFilterOperator","text":"Filter Error: Unknown suffix for the 'format' filter operator"},"$:/language/Error/LoadingPluginLibrary":{"title":"$:/language/Error/LoadingPluginLibrary","text":"Error loading plugin library"},"$:/language/Error/NetworkErrorAlert":{"title":"$:/language/Error/NetworkErrorAlert","text":"`<h2>''Network Error''</h2>It looks like the connection to the server has been lost. This may indicate a problem with your network connection. Please attempt to restore network connectivity before continuing.<br><br>''Any unsaved changes will be automatically synchronised when connectivity is restored''.`"},"$:/language/Error/PutEditConflict":{"title":"$:/language/Error/PutEditConflict","text":"File changed on server"},"$:/language/Error/PutForbidden":{"title":"$:/language/Error/PutForbidden","text":"Permission denied"},"$:/language/Error/PutUnauthorized":{"title":"$:/language/Error/PutUnauthorized","text":"Authentication required"},"$:/language/Error/RecursiveTransclusion":{"title":"$:/language/Error/RecursiveTransclusion","text":"Recursive transclusion error in transclude widget"},"$:/language/Error/RetrievingSkinny":{"title":"$:/language/Error/RetrievingSkinny","text":"Error retrieving skinny tiddler list"},"$:/language/Error/SavingToTWEdit":{"title":"$:/language/Error/SavingToTWEdit","text":"Error saving to TWEdit"},"$:/language/Error/WhileSaving":{"title":"$:/language/Error/WhileSaving","text":"Error while saving"},"$:/language/Error/XMLHttpRequest":{"title":"$:/language/Error/XMLHttpRequest","text":"XMLHttpRequest error code"},"$:/language/Error/ZoominTextNode":{"title":"$:/language/Error/ZoominTextNode","text":"Story View Error: It appears you tried to interact with a tiddler that displays in a custom container. This is most likely caused by using `$:/tags/StoryTiddlerTemplateFilter` with a template that contains text or whitespace at the start. Please use the pragma `\\whitespace trim` and ensure the whole contents of the tiddler is wrapped in a single HTML element. The text that caused this issue:"},"$:/language/InternalJavaScriptError/Title":{"title":"$:/language/InternalJavaScriptError/Title","text":"Internal JavaScript Error"},"$:/language/InternalJavaScriptError/Hint":{"title":"$:/language/InternalJavaScriptError/Hint","text":"Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"},"$:/language/LayoutSwitcher/Description":{"title":"$:/language/LayoutSwitcher/Description","text":"Open the layout switcher"},"$:/language/LazyLoadingWarning":{"title":"$:/language/LazyLoadingWarning","text":"<p>Trying to load external content from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear, either the tiddler content type doesn't match the type of the external content, or you may be using a browser that doesn't support external content for wikis loaded as standalone files. See https://tiddlywiki.com/#ExternalText</p>"},"$:/language/LoginToTiddlySpace":{"title":"$:/language/LoginToTiddlySpace","text":"Login to TiddlySpace"},"$:/language/Manager/Controls/FilterByTag/None":{"title":"$:/language/Manager/Controls/FilterByTag/None","text":"(none)"},"$:/language/Manager/Controls/FilterByTag/Prompt":{"title":"$:/language/Manager/Controls/FilterByTag/Prompt","text":"Filter by tag:"},"$:/language/Manager/Controls/Order/Prompt":{"title":"$:/language/Manager/Controls/Order/Prompt","text":"Reverse order"},"$:/language/Manager/Controls/Search/Placeholder":{"title":"$:/language/Manager/Controls/Search/Placeholder","text":"Search"},"$:/language/Manager/Controls/Search/Prompt":{"title":"$:/language/Manager/Controls/Search/Prompt","text":"Search:"},"$:/language/Manager/Controls/Show/Option/Tags":{"title":"$:/language/Manager/Controls/Show/Option/Tags","text":"tags"},"$:/language/Manager/Controls/Show/Option/Tiddlers":{"title":"$:/language/Manager/Controls/Show/Option/Tiddlers","text":"tiddlers"},"$:/language/Manager/Controls/Show/Prompt":{"title":"$:/language/Manager/Controls/Show/Prompt","text":"Show:"},"$:/language/Manager/Controls/Sort/Prompt":{"title":"$:/language/Manager/Controls/Sort/Prompt","text":"Sort by:"},"$:/language/Manager/Item/Colour":{"title":"$:/language/Manager/Item/Colour","text":"Colour"},"$:/language/Manager/Item/Fields":{"title":"$:/language/Manager/Item/Fields","text":"Fields"},"$:/language/Manager/Item/Icon/None":{"title":"$:/language/Manager/Item/Icon/None","text":"(none)"},"$:/language/Manager/Item/Icon":{"title":"$:/language/Manager/Item/Icon","text":"Icon"},"$:/language/Manager/Item/RawText":{"title":"$:/language/Manager/Item/RawText","text":"Raw text"},"$:/language/Manager/Item/Tags":{"title":"$:/language/Manager/Item/Tags","text":"Tags"},"$:/language/Manager/Item/Tools":{"title":"$:/language/Manager/Item/Tools","text":"Tools"},"$:/language/Manager/Item/WikifiedText":{"title":"$:/language/Manager/Item/WikifiedText","text":"Wikified text"},"$:/language/MissingTiddler/Hint":{"title":"$:/language/MissingTiddler/Hint","text":"Missing tiddler \"<$text text=<<currentTiddler>>/>\" -- click {{||$:/core/ui/Buttons/edit}} to create"},"$:/language/No":{"title":"$:/language/No","text":"No"},"$:/language/OfficialPluginLibrary":{"title":"$:/language/OfficialPluginLibrary","text":"Official ~TiddlyWiki Plugin Library"},"$:/language/OfficialPluginLibrary/Hint":{"title":"$:/language/OfficialPluginLibrary/Hint","text":"The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."},"$:/language/PageTemplate/Description":{"title":"$:/language/PageTemplate/Description","text":"the default ~TiddlyWiki layout"},"$:/language/PageTemplate/Name":{"title":"$:/language/PageTemplate/Name","text":"Default ~PageTemplate"},"$:/language/PluginReloadWarning":{"title":"$:/language/PluginReloadWarning","text":"Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to ~JavaScript plugins to take effect"},"$:/language/RecentChanges/DateFormat":{"title":"$:/language/RecentChanges/DateFormat","text":"DDth MMM YYYY"},"$:/language/Shortcuts/Input/AdvancedSearch/Hint":{"title":"$:/language/Shortcuts/Input/AdvancedSearch/Hint","text":"Open the ~AdvancedSearch panel from within the sidebar search field"},"$:/language/Shortcuts/Input/Accept/Hint":{"title":"$:/language/Shortcuts/Input/Accept/Hint","text":"Accept the selected item"},"$:/language/Shortcuts/Input/AcceptVariant/Hint":{"title":"$:/language/Shortcuts/Input/AcceptVariant/Hint","text":"Accept the selected item (variant)"},"$:/language/Shortcuts/Input/Cancel/Hint":{"title":"$:/language/Shortcuts/Input/Cancel/Hint","text":"Clear the input field"},"$:/language/Shortcuts/Input/Down/Hint":{"title":"$:/language/Shortcuts/Input/Down/Hint","text":"Select the next item"},"$:/language/Shortcuts/Input/Tab-Left/Hint":{"title":"$:/language/Shortcuts/Input/Tab-Left/Hint","text":"Select the previous Tab"},"$:/language/Shortcuts/Input/Tab-Right/Hint":{"title":"$:/language/Shortcuts/Input/Tab-Right/Hint","text":"Select the next Tab"},"$:/language/Shortcuts/Input/Up/Hint":{"title":"$:/language/Shortcuts/Input/Up/Hint","text":"Select the previous item"},"$:/language/Shortcuts/SidebarLayout/Hint":{"title":"$:/language/Shortcuts/SidebarLayout/Hint","text":"Change the sidebar layout"},"$:/language/Switcher/Subtitle/theme":{"title":"$:/language/Switcher/Subtitle/theme","text":"Switch Theme"},"$:/language/Switcher/Subtitle/layout":{"title":"$:/language/Switcher/Subtitle/layout","text":"Switch Layout"},"$:/language/Switcher/Subtitle/language":{"title":"$:/language/Switcher/Subtitle/language","text":"Switch Language"},"$:/language/Switcher/Subtitle/palette":{"title":"$:/language/Switcher/Subtitle/palette","text":"Switch Palette"},"$:/language/SystemTiddler/Tooltip":{"title":"$:/language/SystemTiddler/Tooltip","text":"This is a system tiddler"},"$:/language/SystemTiddlers/Include/Prompt":{"title":"$:/language/SystemTiddlers/Include/Prompt","text":"Include system tiddlers"},"$:/language/TagManager/Colour/Heading":{"title":"$:/language/TagManager/Colour/Heading","text":"Colour"},"$:/language/TagManager/Count/Heading":{"title":"$:/language/TagManager/Count/Heading","text":"Count"},"$:/language/TagManager/Icon/Heading":{"title":"$:/language/TagManager/Icon/Heading","text":"Icon"},"$:/language/TagManager/Icons/None":{"title":"$:/language/TagManager/Icons/None","text":"None"},"$:/language/TagManager/Info/Heading":{"title":"$:/language/TagManager/Info/Heading","text":"Info"},"$:/language/TagManager/Tag/Heading":{"title":"$:/language/TagManager/Tag/Heading","text":"Tag"},"$:/language/Tiddler/DateFormat":{"title":"$:/language/Tiddler/DateFormat","text":"DDth MMM YYYY at hh12:0mmam"},"$:/language/UnsavedChangesWarning":{"title":"$:/language/UnsavedChangesWarning","text":"You have unsaved changes in TiddlyWiki"},"$:/language/Yes":{"title":"$:/language/Yes","text":"Yes"},"$:/language/Modals/Download":{"title":"$:/language/Modals/Download","subtitle":"Download changes","footer":"<$button message=\"tm-close-tiddler\">Close</$button>","help":"https://tiddlywiki.com/static/DownloadingChanges.html","text":"Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). 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wiki"},"$:/language/Notifications/CopiedToClipboard/Succeeded":{"title":"$:/language/Notifications/CopiedToClipboard/Succeeded","text":"Copied to clipboard!"},"$:/language/Notifications/CopiedToClipboard/Failed":{"title":"$:/language/Notifications/CopiedToClipboard/Failed","text":"Failed to copy to clipboard!"},"$:/language/Search/DefaultResults/Caption":{"title":"$:/language/Search/DefaultResults/Caption","text":"List"},"$:/language/Search/Filter/Caption":{"title":"$:/language/Search/Filter/Caption","text":"Filter"},"$:/language/Search/Filter/Hint":{"title":"$:/language/Search/Filter/Hint","text":"Search via a [[filter expression|https://tiddlywiki.com/static/Filters.html]]"},"$:/language/Search/Filter/Matches":{"title":"$:/language/Search/Filter/Matches","text":"//<small><<resultCount>> matches</small>//"},"$:/language/Search/Matches":{"title":"$:/language/Search/Matches","text":"//<small><<resultCount>> matches</small>//"},"$:/language/Search/Matches/All":{"title":"$:/language/Search/Matches/All","text":"All matches:"},"$:/language/Search/Matches/Title":{"title":"$:/language/Search/Matches/Title","text":"Title matches:"},"$:/language/Search/Search":{"title":"$:/language/Search/Search","text":"Search"},"$:/language/Search/Search/TooShort":{"title":"$:/language/Search/Search/TooShort","text":"Search text too short"},"$:/language/Search/Shadows/Caption":{"title":"$:/language/Search/Shadows/Caption","text":"Shadows"},"$:/language/Search/Shadows/Hint":{"title":"$:/language/Search/Shadows/Hint","text":"Search for shadow tiddlers"},"$:/language/Search/Shadows/Matches":{"title":"$:/language/Search/Shadows/Matches","text":"//<small><<resultCount>> matches</small>//"},"$:/language/Search/Standard/Caption":{"title":"$:/language/Search/Standard/Caption","text":"Standard"},"$:/language/Search/Standard/Hint":{"title":"$:/language/Search/Standard/Hint","text":"Search for standard 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matches</small>//"},"$:/language/SideBar/Caption":{"title":"$:/language/SideBar/Caption","text":"Sidebar"},"$:/language/SideBar/All/Caption":{"title":"$:/language/SideBar/All/Caption","text":"All"},"$:/language/SideBar/Contents/Caption":{"title":"$:/language/SideBar/Contents/Caption","text":"Contents"},"$:/language/SideBar/Drafts/Caption":{"title":"$:/language/SideBar/Drafts/Caption","text":"Drafts"},"$:/language/SideBar/Explorer/Caption":{"title":"$:/language/SideBar/Explorer/Caption","text":"Explorer"},"$:/language/SideBar/Missing/Caption":{"title":"$:/language/SideBar/Missing/Caption","text":"Missing"},"$:/language/SideBar/More/Caption":{"title":"$:/language/SideBar/More/Caption","text":"More"},"$:/language/SideBar/Open/Caption":{"title":"$:/language/SideBar/Open/Caption","text":"Open"},"$:/language/SideBar/Orphans/Caption":{"title":"$:/language/SideBar/Orphans/Caption","text":"Orphans"},"$:/language/SideBar/Recent/Caption":{"title":"$:/language/SideBar/Recent/Caption","text":"Recent"},"$:/language/SideBar/Shadows/Caption":{"title":"$:/language/SideBar/Shadows/Caption","text":"Shadows"},"$:/language/SideBar/System/Caption":{"title":"$:/language/SideBar/System/Caption","text":"System"},"$:/language/SideBar/Tags/Caption":{"title":"$:/language/SideBar/Tags/Caption","text":"Tags"},"$:/language/SideBar/Tags/Untagged/Caption":{"title":"$:/language/SideBar/Tags/Untagged/Caption","text":"untagged"},"$:/language/SideBar/Tools/Caption":{"title":"$:/language/SideBar/Tools/Caption","text":"Tools"},"$:/language/SideBar/Types/Caption":{"title":"$:/language/SideBar/Types/Caption","text":"Types"},"$:/SiteSubtitle":{"title":"$:/SiteSubtitle","text":"a non-linear personal web notebook"},"$:/SiteTitle":{"title":"$:/SiteTitle","text":"My TiddlyWiki"},"$:/language/Snippets/ListByTag":{"title":"$:/language/Snippets/ListByTag","tags":"$:/tags/TextEditor/Snippet","caption":"List of tiddlers by tag","text":"<<list-links \"[tag[task]sort[title]]\">>\n"},"$:/language/Snippets/MacroDefinition":{"title":"$:/language/Snippets/MacroDefinition","tags":"$:/tags/TextEditor/Snippet","caption":"Macro definition","text":"\\define macroName(param1:\"default value\",param2)\nText of the macro\n\\end\n"},"$:/language/Snippets/Table4x3":{"title":"$:/language/Snippets/Table4x3","tags":"$:/tags/TextEditor/Snippet","caption":"Table with 4 columns by 3 rows","text":"|! |!Alpha |!Beta |!Gamma |!Delta |\n|!One | | | | |\n|!Two | | | | |\n|!Three | | | | |\n"},"$:/language/Snippets/TableOfContents":{"title":"$:/language/Snippets/TableOfContents","tags":"$:/tags/TextEditor/Snippet","caption":"Table of Contents","text":"<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"},"$:/language/ThemeTweaks/ThemeTweaks":{"title":"$:/language/ThemeTweaks/ThemeTweaks","text":"Theme Tweaks"},"$:/language/ThemeTweaks/ThemeTweaks/Hint":{"title":"$:/language/ThemeTweaks/ThemeTweaks/Hint","text":"You can tweak certain aspects of the ''Vanilla'' theme."},"$:/language/ThemeTweaks/Options":{"title":"$:/language/ThemeTweaks/Options","text":"Options"},"$:/language/ThemeTweaks/Options/SidebarLayout":{"title":"$:/language/ThemeTweaks/Options/SidebarLayout","text":"Sidebar layout"},"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid":{"title":"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid","text":"Fixed story, fluid sidebar"},"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed":{"title":"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed","text":"Fluid story, fixed sidebar"},"$:/language/ThemeTweaks/Options/StickyTitles":{"title":"$:/language/ThemeTweaks/Options/StickyTitles","text":"Sticky titles"},"$:/language/ThemeTweaks/Options/StickyTitles/Hint":{"title":"$:/language/ThemeTweaks/Options/StickyTitles/Hint","text":"Causes tiddler titles to \"stick\" to the top of the browser window"},"$:/language/ThemeTweaks/Options/CodeWrapping":{"title":"$:/language/ThemeTweaks/Options/CodeWrapping","text":"Wrap long lines in code blocks"},"$:/language/ThemeTweaks/Settings":{"title":"$:/language/ThemeTweaks/Settings","text":"Settings"},"$:/language/ThemeTweaks/Settings/FontFamily":{"title":"$:/language/ThemeTweaks/Settings/FontFamily","text":"Font family"},"$:/language/ThemeTweaks/Settings/CodeFontFamily":{"title":"$:/language/ThemeTweaks/Settings/CodeFontFamily","text":"Code font family"},"$:/language/ThemeTweaks/Settings/EditorFontFamily":{"title":"$:/language/ThemeTweaks/Settings/EditorFontFamily","text":"Editor font family"},"$:/language/ThemeTweaks/Settings/BackgroundImage":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImage","text":"Page background image"},"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment","text":"Page background image attachment"},"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll","text":"Scroll with tiddlers"},"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed","text":"Fixed to window"},"$:/language/ThemeTweaks/Settings/BackgroundImageSize":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageSize","text":"Page background image size"},"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto","text":"Auto"},"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover","text":"Cover"},"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain","text":"Contain"},"$:/language/ThemeTweaks/Metrics":{"title":"$:/language/ThemeTweaks/Metrics","text":"Sizes"},"$:/language/ThemeTweaks/Metrics/FontSize":{"title":"$:/language/ThemeTweaks/Metrics/FontSize","text":"Font size"},"$:/language/ThemeTweaks/Metrics/LineHeight":{"title":"$:/language/ThemeTweaks/Metrics/LineHeight","text":"Line height"},"$:/language/ThemeTweaks/Metrics/BodyFontSize":{"title":"$:/language/ThemeTweaks/Metrics/BodyFontSize","text":"Font size for tiddler body"},"$:/language/ThemeTweaks/Metrics/BodyLineHeight":{"title":"$:/language/ThemeTweaks/Metrics/BodyLineHeight","text":"Line height for tiddler body"},"$:/language/ThemeTweaks/Metrics/StoryLeft":{"title":"$:/language/ThemeTweaks/Metrics/StoryLeft","text":"Story left position"},"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint":{"title":"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint","text":"how far the left margin of the story river<br>(tiddler area) is from the left of the page"},"$:/language/ThemeTweaks/Metrics/StoryTop":{"title":"$:/language/ThemeTweaks/Metrics/StoryTop","text":"Story top position"},"$:/language/ThemeTweaks/Metrics/StoryTop/Hint":{"title":"$:/language/ThemeTweaks/Metrics/StoryTop/Hint","text":"how far the top margin of the story river<br>is from the top of the page"},"$:/language/ThemeTweaks/Metrics/StoryRight":{"title":"$:/language/ThemeTweaks/Metrics/StoryRight","text":"Story right"},"$:/language/ThemeTweaks/Metrics/StoryRight/Hint":{"title":"$:/language/ThemeTweaks/Metrics/StoryRight/Hint","text":"how far the left margin of the sidebar <br>is from the left of the page"},"$:/language/ThemeTweaks/Metrics/StoryWidth":{"title":"$:/language/ThemeTweaks/Metrics/StoryWidth","text":"Story width"},"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint":{"title":"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint","text":"the overall width of the story river"},"$:/language/ThemeTweaks/Metrics/TiddlerWidth":{"title":"$:/language/ThemeTweaks/Metrics/TiddlerWidth","text":"Tiddler width"},"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint":{"title":"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint","text":"within the story river"},"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint":{"title":"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint","text":"Sidebar breakpoint"},"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint":{"title":"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint","text":"the minimum page width at which the story<br>river and sidebar will appear side by side"},"$:/language/ThemeTweaks/Metrics/SidebarWidth":{"title":"$:/language/ThemeTweaks/Metrics/SidebarWidth","text":"Sidebar width"},"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint":{"title":"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint","text":"the width of the sidebar in fluid-fixed layout"},"$:/language/TiddlerInfo/Advanced/Caption":{"title":"$:/language/TiddlerInfo/Advanced/Caption","text":"Advanced"},"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint":{"title":"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint","text":"none"},"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading":{"title":"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading","text":"Plugin Details"},"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint":{"title":"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint","text":"This plugin contains the following shadow tiddlers:"},"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading","text":"Shadow Status"},"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint","text":"The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"},"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint","text":"The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"},"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source","text":"It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"},"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint","text":"It is overridden by an ordinary tiddler"},"$:/language/TiddlerInfo/Fields/Caption":{"title":"$:/language/TiddlerInfo/Fields/Caption","text":"Fields"},"$:/language/TiddlerInfo/List/Caption":{"title":"$:/language/TiddlerInfo/List/Caption","text":"List"},"$:/language/TiddlerInfo/List/Empty":{"title":"$:/language/TiddlerInfo/List/Empty","text":"This tiddler does not have a list"},"$:/language/TiddlerInfo/Listed/Caption":{"title":"$:/language/TiddlerInfo/Listed/Caption","text":"Listed"},"$:/language/TiddlerInfo/Listed/Empty":{"title":"$:/language/TiddlerInfo/Listed/Empty","text":"This tiddler is not listed by any others"},"$:/language/TiddlerInfo/References/Caption":{"title":"$:/language/TiddlerInfo/References/Caption","text":"Backlinks"},"$:/language/TiddlerInfo/References/Empty":{"title":"$:/language/TiddlerInfo/References/Empty","text":"No tiddlers link to this one"},"$:/language/TiddlerInfo/Tagging/Caption":{"title":"$:/language/TiddlerInfo/Tagging/Caption","text":"Tagging"},"$:/language/TiddlerInfo/Tagging/Empty":{"title":"$:/language/TiddlerInfo/Tagging/Empty","text":"No tiddlers are tagged with this one"},"$:/language/TiddlerInfo/Tools/Caption":{"title":"$:/language/TiddlerInfo/Tools/Caption","text":"Tools"},"$:/language/Docs/Types/application/javascript":{"title":"$:/language/Docs/Types/application/javascript","description":"JavaScript code","name":"application/javascript","group":"Developer","group-sort":"2"},"$:/language/Docs/Types/application/json":{"title":"$:/language/Docs/Types/application/json","description":"JSON data","name":"application/json","group":"Developer","group-sort":"2"},"$:/language/Docs/Types/application/x-tiddler-dictionary":{"title":"$:/language/Docs/Types/application/x-tiddler-dictionary","description":"Data dictionary","name":"application/x-tiddler-dictionary","group":"Developer","group-sort":"2"},"$:/language/Docs/Types/image/gif":{"title":"$:/language/Docs/Types/image/gif","description":"GIF image","name":"image/gif","group":"Image","group-sort":"1"},"$:/language/Docs/Types/image/jpeg":{"title":"$:/language/Docs/Types/image/jpeg","description":"JPEG image","name":"image/jpeg","group":"Image","group-sort":"1"},"$:/language/Docs/Types/image/png":{"title":"$:/language/Docs/Types/image/png","description":"PNG image","name":"image/png","group":"Image","group-sort":"1"},"$:/language/Docs/Types/image/svg+xml":{"title":"$:/language/Docs/Types/image/svg+xml","description":"SVG image","name":"image/svg+xml","group":"Image","group-sort":"1"},"$:/language/Docs/Types/image/x-icon":{"title":"$:/language/Docs/Types/image/x-icon","description":"ICO icon","name":"image/x-icon","group":"Image","group-sort":"1"},"$:/language/Docs/Types/text/css":{"title":"$:/language/Docs/Types/text/css","description":"Static stylesheet","name":"text/css","group":"Developer","group-sort":"2"},"$:/language/Docs/Types/text/html":{"title":"$:/language/Docs/Types/text/html","description":"HTML markup","name":"text/html","group":"Text","group-sort":"0"},"$:/language/Docs/Types/text/plain":{"title":"$:/language/Docs/Types/text/plain","description":"Plain text","name":"text/plain","group":"Text","group-sort":"0"},"$:/language/Docs/Types/text/vnd.tiddlywiki":{"title":"$:/language/Docs/Types/text/vnd.tiddlywiki","description":"TiddlyWiki 5","name":"text/vnd.tiddlywiki","group":"Text","group-sort":"0"},"$:/language/Docs/Types/text/x-tiddlywiki":{"title":"$:/language/Docs/Types/text/x-tiddlywiki","description":"TiddlyWiki Classic","name":"text/x-tiddlywiki","group":"Text","group-sort":"0"},"$:/languages/en-GB/icon":{"title":"$:/languages/en-GB/icon","type":"image/svg+xml","text":"<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"},"$:/languages/en-GB":{"title":"$:/languages/en-GB","name":"en-GB","description":"English (British)","author":"JeremyRuston","core-version":">=5.0.0\"","text":"Stub pseudo-plugin for the default language"},"$:/core/modules/commander.js":{"title":"$:/core/modules/commander.js","text":"/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nLog a string if verbose flag is set\n*/\nCommander.prototype.log = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str + \"\\n\");\n\t}\n};\n\n/*\nWrite a string if verbose flag is set\n*/\nCommander.prototype.write = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str);\n\t}\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\t// Parse named parameters if required\n\t\t\t\tif(command.info.namedParameterMode) {\n\t\t\t\t\tparams = this.extractNamedParameters(params,command.info.mandatoryParameters);\n\t\t\t\t\tif(typeof params === \"string\") {\n\t\t\t\t\t\treturn this.callback(params);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nGiven an array of parameter strings `params` in name:value format, and an array of mandatory parameter names in `mandatoryParameters`, returns a hashmap of values or a string if error\n*/\nCommander.prototype.extractNamedParameters = function(params,mandatoryParameters) {\n\tmandatoryParameters = mandatoryParameters || [];\n\tvar errors = [],\n\t\tparamsByName = Object.create(null);\n\t// Extract the parameters\n\t$tw.utils.each(params,function(param) {\n\t\tvar index = param.indexOf(\"=\");\n\t\tif(index < 1) {\n\t\t\terrors.push(\"malformed named parameter: '\" + param + \"'\");\n\t\t}\n\t\tparamsByName[param.slice(0,index)] = $tw.utils.trim(param.slice(index+1));\n\t});\n\t// Check the mandatory parameters are present\n\t$tw.utils.each(mandatoryParameters,function(mandatoryParameter) {\n\t\tif(!$tw.utils.hop(paramsByName,mandatoryParameter)) {\n\t\t\terrors.push(\"missing mandatory parameter: '\" + mandatoryParameter + \"'\");\n\t\t}\n\t});\n\t// Return any errors\n\tif(errors.length > 0) {\n\t\treturn errors.join(\" and\\n\");\n\t} else {\n\t\treturn paramsByName;\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/commands/build.js":{"title":"$:/core/modules/commands/build.js","text":"/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/clearpassword.js":{"title":"$:/core/modules/commands/clearpassword.js","text":"/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/commands.js":{"title":"$:/core/modules/commands/commands.js","text":"/*\\\ntitle: $:/core/modules/commands/commands.js\ntype: application/javascript\nmodule-type: command\n\nRuns the commands returned from a filter\n\n\\*/\n\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"commands\",\n\tsynchronous: true\n};\n\nvar Command = function(params, commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Parse the filter\n\tvar filter = this.params[0];\n\tif(!filter) {\n\t\treturn \"No filter specified\";\n\t}\n\tvar commands = this.commander.wiki.filterTiddlers(filter)\n\tif(commands.length === 0) {\n\t\treturn \"No tiddlers found for filter '\" + filter + \"'\";\n\t}\n\tthis.commander.addCommandTokens(commands);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/deletetiddlers.js":{"title":"$:/core/modules/commands/deletetiddlers.js","text":"/*\\\ntitle: $:/core/modules/commands/deletetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to delete tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"deletetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filter\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\twiki.deleteTiddler(title);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/editions.js":{"title":"$:/core/modules/commands/editions.js","text":"/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\"    \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/fetch.js":{"title":"$:/core/modules/commands/fetch.js","text":"/*\\\ntitle: $:/core/modules/commands/fetch.js\ntype: application/javascript\nmodule-type: command\n\nCommands to fetch external tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"fetch\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing subcommand and url\";\n\t}\n\tswitch(this.params[0]) {\n\t\tcase \"raw-file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turl: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turl: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"raw-files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t}\n\treturn null;\n};\n\nCommand.prototype.fetchFiles = function(options) {\n\tvar self = this;\n\t// Get the list of URLs\n\tvar urls;\n\tif(options.url) {\n\t\turls = [options.url]\n\t} else if(options.urlFilter) {\n\t\turls = this.commander.wiki.filterTiddlers(options.urlFilter);\n\t} else {\n\t\treturn \"Missing URL\";\n\t}\n\t// Process each URL in turn\n\tvar next = 0;\n\tvar getNextFile = function(err) {\n\t\tif(err) {\n\t\t\treturn options.callback(err);\n\t\t}\n\t\tif(next < urls.length) {\n\t\t\tself.fetchFile(urls[next++],options,getNextFile);\n\t\t} else {\n\t\t\toptions.callback(null);\n\t\t}\n\t};\n\tgetNextFile(null);\n\t// Success\n\treturn null;\n};\n\nCommand.prototype.fetchFile = function(url,options,callback,redirectCount) {\n\tif(redirectCount > 10) {\n\t\treturn callback(\"Error too many redirects retrieving \" + url);\n\t}\n\tvar self = this,\n\t\tlib = url.substr(0,8) === \"https://\" ? require(\"https\") : require(\"http\");\n\tlib.get(url).on(\"response\",function(response) {\n\t    var type = (response.headers[\"content-type\"] || \"\").split(\";\")[0],\n\t    \tdata = [];\n\t    self.commander.write(\"Reading \" + url + \": \");\n\t    response.on(\"data\",function(chunk) {\n\t        data.push(chunk);\n\t        self.commander.write(\".\");\n\t    });\n\t    response.on(\"end\",function() {\n\t        self.commander.write(\"\\n\");\n\t        if(response.statusCode === 200) {\n\t\t        self.processBody(Buffer.concat(data),type,options,url);\n\t\t        callback(null);\n\t        } else {\n\t        \tif(response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307) {\n\t        \t\treturn self.fetchFile(response.headers.location,options,callback,redirectCount + 1);\n\t        \t} else {\n\t\t        \treturn callback(\"Error \" + response.statusCode + \" retrieving \" + url)\n\t        \t}\n\t        }\n\t   \t});\n\t   \tresponse.on(\"error\",function(e) {\n\t\t\tconsole.log(\"Error on GET request: \" + e);\n\t\t\tcallback(e);\n\t   \t});\n\t});\n\treturn null;\n};\n\nCommand.prototype.processBody = function(body,type,options,url) {\n\tvar self = this;\n\t// Collect the tiddlers in a wiki\n\tvar incomingWiki = new $tw.Wiki();\n\tif(options.raw) {\n\t\tvar typeInfo = type ? $tw.config.contentTypeInfo[type] : null,\n\t\t\tencoding = typeInfo ? typeInfo.encoding : \"utf8\";\n\t\tincomingWiki.addTiddler(new $tw.Tiddler({\n\t\t\ttitle: url,\n\t\t\ttype: type,\n\t\t\ttext: body.toString(encoding)\n\t\t}));\n\t} else {\n\t\t// Deserialise the file to extract the tiddlers\n\t\tvar tiddlers = this.commander.wiki.deserializeTiddlers(type || \"text/html\",body.toString(\"utf8\"),{});\n\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\tincomingWiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t});\n\t}\n\t// Filter the tiddlers to select the ones we want\n\tvar filteredTitles = incomingWiki.filterTiddlers(options.importFilter || \"[all[tiddlers]]\");\n\t// Import the selected tiddlers\n\tvar count = 0;\n\tincomingWiki.each(function(tiddler,title) {\n\t\tif(filteredTitles.indexOf(title) !== -1) {\n\t\t\tvar newTiddler;\n\t\t\tif(options.transformFilter) {\n\t\t\t\tvar transformedTitle = (incomingWiki.filterTiddlers(options.transformFilter,null,self.commander.wiki.makeTiddlerIterator([title])) || [\"\"])[0];\n\t\t\t\tif(transformedTitle) {\n\t\t\t\t\tself.commander.log(\"Importing \" + title + \" as \" + transformedTitle)\n\t\t\t\t\tnewTiddler = new $tw.Tiddler(tiddler,{title: transformedTitle});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.commander.log(\"Importing \" + title)\n\t\t\t\tnewTiddler = tiddler;\n\t\t\t}\n\t\t\tself.commander.wiki.importTiddler(newTiddler);\n\t\t\tcount++;\n\t\t}\n\t});\n\tself.commander.log(\"Imported \" + count + \" tiddlers\")\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/help.js":{"title":"$:/core/modules/commands/help.js","text":"/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/import.js":{"title":"$:/core/modules/commands/import.js","text":"/*\\\ntitle: $:/core/modules/commands/import.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 2) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar filename = self.params[0],\n\t\tdeserializer = self.params[1],\n\t\ttitle = self.params[2] || filename,\n\t\tencoding = self.params[3] || \"utf8\",\n\t\ttext = fs.readFileSync(filename,encoding),\n\t\ttiddlers = this.commander.wiki.deserializeTiddlers(null,text,{title: title},{deserializer: deserializer});\n\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t});\n\tthis.commander.log(tiddlers.length + \" tiddler(s) imported\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/init.js":{"title":"$:/core/modules/commands/init.js","text":"/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = $tw.utils.parseJSONSafe(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/listen.js":{"title":"$:/core/modules/commands/listen.js","text":"/*\\\ntitle: $:/core/modules/commands/listen.js\ntype: application/javascript\nmodule-type: command\n\nListen for HTTP requests and serve tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"listen\",\n\tsynchronous: true,\n\tnamedParameterMode: true,\n\tmandatoryParameters: [],\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: self.params\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/load.js":{"title":"$:/core/modules/commands/load.js","text":"/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file or directory\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar tiddlers = $tw.loadTiddlersFromPath(self.params[0]),\n\t\tcount = 0;\n\t$tw.utils.each(tiddlers,function(tiddlerInfo) {\n\t\t$tw.utils.each(tiddlerInfo.tiddlers,function(tiddler) {\n\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t\t\tcount++;\n\t\t});\n\t});\n\tif(!count && self.params[1] !== \"noerror\") {\n\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t} else {\n\t\tself.callback(null);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/makelibrary.js":{"title":"$:/core/modules/commands/makelibrary.js","text":"/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = $tw.utils.getSubdirectories(folder) || [];\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = $tw.utils.getSubdirectories(folder) || [];\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.pluginsPath,$tw.config.pluginsEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.themesPath,$tw.config.themesEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.languagesPath,$tw.config.languagesEnvVar),collectPlugins);\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers})\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/output.js":{"title":"$:/core/modules/commands/output.js","text":"/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/password.js":{"title":"$:/core/modules/commands/password.js","text":"/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/render.js":{"title":"$:/core/modules/commands/render.js","text":"/*\\\ntitle: $:/core/modules/commands/render.js\ntype: application/javascript\nmodule-type: command\n\nRender individual tiddlers and save the results to the specified files\n\n\\*/\n(function(){\n\n\t/*jslint node: true, browser: true */\n\t/*global $tw: false */\n\t\"use strict\";\n\t\n\tvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\t\n\texports.info = {\n\t\tname: \"render\",\n\t\tsynchronous: true\n\t};\n\t\n\tvar Command = function(params,commander,callback) {\n\t\tthis.params = params;\n\t\tthis.commander = commander;\n\t\tthis.callback = callback;\n\t};\n\t\n\tCommand.prototype.execute = function() {\n\t\tif(this.params.length < 1) {\n\t\t\treturn \"Missing tiddler filter\";\n\t\t}\n\t\tvar self = this,\n\t\t\tfs = require(\"fs\"),\n\t\t\tpath = require(\"path\"),\n\t\t\twiki = this.commander.wiki,\n\t\t\ttiddlerFilter = this.params[0],\n\t\t\tfilenameFilter = this.params[1] || \"[is[tiddler]addsuffix[.html]]\",\n\t\t\ttype = this.params[2] || \"text/html\",\n\t\t\ttemplate = this.params[3],\n\t\t\tvariableList = this.params.slice(4),\n\t\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter),\n\t\t\tvariables =  Object.create(null);\n\t\t\twhile(variableList.length >= 2) {\n\t\t\t\tvariables[variableList[0]] = variableList[1];\n\t\t\t\tvariableList = variableList.slice(2);\n\t\t\t}\n\t\t$tw.utils.each(tiddlers,function(title) {\n\t\t\tvar filepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\t\tif(self.commander.verbose) {\n\t\t\t\tconsole.log(\"Rendering \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t\t}\n\t\t\tvar parser = wiki.parseTiddler(template || title),\n\t\t\t\twidgetNode = wiki.makeWidget(parser,{variables: $tw.utils.extend({},variables,{currentTiddler: title,storyTiddler: title})}),\n\t\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t\t$tw.utils.createFileDirectories(filepath);\n\t\t\tfs.writeFileSync(filepath,text,\"utf8\");\n\t\t});\n\t\treturn null;\n\t};\n\t\n\texports.Command = Command;\n\t\n\t})();\n\t","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/rendertiddler.js":{"title":"$:/core/modules/commands/rendertiddler.js","text":"/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tname = this.params[4],\n\t\tvalue = this.params[5],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\tvariables.storyTiddler = title;\n\t\ttitle = template;\n\t}\n\tif(name && value) {\n\t\tvariables[name] = value;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/rendertiddlers.js":{"title":"$:/core/modules/commands/rendertiddlers.js","text":"/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title, storyTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,$tw.utils.encodeURIComponentExtended(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/save.js":{"title":"$:/core/modules/commands/save.js","text":"/*\\\ntitle: $:/core/modules/commands/save.js\ntype: application/javascript\nmodule-type: command\n\nSaves individual tiddlers in their raw text or binary format to the specified files\n\n\\*/\n(function(){\n\n\t/*jslint node: true, browser: true */\n\t/*global $tw: false */\n\t\"use strict\";\n\t\n\texports.info = {\n\t\tname: \"save\",\n\t\tsynchronous: true\n\t};\n\t\n\tvar Command = function(params,commander,callback) {\n\t\tthis.params = params;\n\t\tthis.commander = commander;\n\t\tthis.callback = callback;\n\t};\n\t\n\tCommand.prototype.execute = function() {\n\t\tif(this.params.length < 1) {\n\t\t\treturn \"Missing filename filter\";\n\t\t}\n\t\tvar self = this,\n\t\t\tfs = require(\"fs\"),\n\t\t\tpath = require(\"path\"),\n\t\t\tresult = null,\n\t\t\twiki = this.commander.wiki,\n\t\t\ttiddlerFilter = this.params[0],\n\t\t\tfilenameFilter = this.params[1] || \"[is[tiddler]]\",\n\t\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t\t$tw.utils.each(tiddlers,function(title) {\n\t\t\tif(!result) {\n\t\t\t\tvar tiddler = self.commander.wiki.getTiddler(title);\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar fileInfo = $tw.utils.generateTiddlerFileInfo(tiddler,{\n\t\t\t\t\t\tdirectory: path.resolve(self.commander.outputPath),\n\t\t\t\t\t\tpathFilters: [filenameFilter],\n\t\t\t\t\t\twiki: wiki,\n\t\t\t\t\t\tfileInfo: {}\n\t\t\t\t\t});\n\t\t\t\t\tif(self.commander.verbose) {\n\t\t\t\t\t\tconsole.log(\"Saving \\\"\" + title + \"\\\" to \\\"\" + fileInfo.filepath + \"\\\"\");\n\t\t\t\t\t}\n\t\t\t\t\ttry {\n\t\t\t\t\t\t$tw.utils.saveTiddlerToFileSync(tiddler,fileInfo);\n\t\t\t\t\t} catch (err) {\n\t\t\t\t\t\tresult = \"Error saving tiddler \\\"\" + title + \"\\\", to file: \\\"\" + fileInfo.filepath + \"\\\"\";\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresult = \"Tiddler '\" + title + \"' not found\";\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\treturn result;\n\t};\n\t\n\texports.Command = Command;\n\t\n\t})();\n\t","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/savelibrarytiddlers.js":{"title":"$:/core/modules/commands/savelibrarytiddlers.js","text":"/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <tiddler-filter> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe tiddler filter specifies the plugins to be included.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + $tw.utils.encodeURIComponentExtended(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = $tw.utils.parseJSONSafe(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\tdoesRequireReload = !!self.commander.wiki.doesPluginInfoRequireReload(pluginTiddlers),\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{\n\t\t\ttext: undefined,\n\t\t\treadme: readmeContent,\n\t\t\t\"requires-reload\": doesRequireReload ? \"yes\" : \"no\",\n\t\t\ticon: iconContent\n\t\t}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/savetiddler.js":{"title":"$:/core/modules/commands/savetiddler.js","text":"/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar type = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t\t$tw.utils.createFileDirectories(filename);\n\t\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\t\tself.callback(err);\n\t\t});\n\t} else {\n\t\treturn \"Missing tiddler: \" + title;\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/savetiddlers.js":{"title":"$:/core/modules/commands/savetiddlers.js","text":"/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,$tw.utils.encodeURIComponentExtended(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text || \"\",contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/savewikifolder.js":{"title":"$:/core/modules/commands/savewikifolder.js","text":"/*\\\ntitle: $:/core/modules/commands/savewikifolder.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the current wiki as a wiki folder\n\n--savewikifolder <wikifolderpath> [ [<name>=<value>] ]*\n\nThe following options are supported:\n\n* ''filter'': a filter expression defining the tiddlers to be included in the output\n* ''explodePlugins'': set to \"no\" to suppress exploding plugins into their constituent shadow tiddlers (defaults to \"yes\")\n\nSupports backward compatibility with --savewikifolder <wikifolderpath> [<filter>] [ [<name>=<value>] ]*\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savewikifolder\",\n\tsynchronous: true\n};\n\nvar fs,path;\nif($tw.node) {\n\tfs = require(\"fs\");\n\tpath = require(\"path\");\n}\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing wiki folder path\";\n\t}\n\tvar regFilter = /^[a-zA-Z0-9\\.\\-_]+=/g,  // dynamic parameters\n\t\tnamedParames,\n\t\ttiddlerFilter,\n\t\toptions = {};\n\tif (regFilter.test(this.params[1])) {  \n\t\tnamedParames = this.commander.extractNamedParameters(this.params.slice(1));\n\t\ttiddlerFilter = namedParames.filter || \"[all[tiddlers]]\";\n\t} else {\n\t\tnamedParames = this.commander.extractNamedParameters(this.params.slice(2));\n\t\ttiddlerFilter = this.params[1];\n\t}\n\ttiddlerFilter = tiddlerFilter || \"[all[tiddlers]]\";\n\toptions.explodePlugins = namedParames.explodePlugins || \"yes\";\n\tvar wikifoldermaker = new WikiFolderMaker(this.params[0],tiddlerFilter,this.commander,options);\n\treturn wikifoldermaker.save();\n};\n\nfunction WikiFolderMaker(wikiFolderPath,wikiFilter,commander,options) {\n\tthis.wikiFolderPath = wikiFolderPath;\n\tthis.wikiFilter = wikiFilter;\n\tthis.commander = commander;\n\tthis.explodePlugins = options.explodePlugins;\n\tthis.wiki = commander.wiki;\n\tthis.savedPaths = []; // So that we can detect filename clashes\n}\n\nWikiFolderMaker.prototype.log = function(str) {\n\tif(this.commander.verbose) {\n\t\tconsole.log(str);\n\t}\n};\n\nWikiFolderMaker.prototype.tiddlersToIgnore = [\n\t\"$:/boot/boot.css\",\n\t\"$:/boot/boot.js\",\n\t\"$:/boot/bootprefix.js\",\n\t\"$:/core\",\n\t\"$:/library/sjcl.js\",\n\t\"$:/temp/info-plugin\"\n];\n\n/*\nReturns null if successful, or an error string if there was an error\n*/\nWikiFolderMaker.prototype.save = function() {\n\tvar self = this;\n\t// Check that the output directory doesn't exist\n\tif(fs.existsSync(this.wikiFolderPath) && !$tw.utils.isDirectoryEmpty(this.wikiFolderPath)) {\n\t\treturn \"The unpackwiki command requires that the output wiki folder be empty\";\n\t}\n\t// Get the tiddlers from the source wiki\n\tvar tiddlerTitles = this.wiki.filterTiddlers(this.wikiFilter);\n\t// Initialise a new tiddlwiki.info file\n\tvar newWikiInfo = {};\n\t// Process each incoming tiddler in turn\n\t$tw.utils.each(tiddlerTitles,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tif(self.tiddlersToIgnore.indexOf(title) !== -1) {\n\t\t\t\t// Ignore the core plugin and the ephemeral info plugin\n\t\t\t\tself.log(\"Ignoring tiddler: \" + title);\n\t\t\t} else {\n\t\t\t\tvar type = tiddler.fields.type,\n\t\t\t\t\tpluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif(type === \"application/json\" && pluginType) {\n\t\t\t\t\t// Plugin tiddler\n\t\t\t\t\tvar libraryDetails = self.findPluginInLibrary(title);\n\t\t\t\t\tif(libraryDetails) {\n\t\t\t\t\t\t// A plugin from the core library\n\t\t\t\t\t\tself.log(\"Adding built-in plugin: \" + libraryDetails.name);\n\t\t\t\t\t\tnewWikiInfo[libraryDetails.type] = newWikiInfo[libraryDetails.type]  || [];\n\t\t\t\t\t\t$tw.utils.pushTop(newWikiInfo[libraryDetails.type],libraryDetails.name);\n\t\t\t\t\t} else if(self.explodePlugins !== \"no\") {\n\t\t\t\t\t\t// A custom plugin\n\t\t\t\t\t\tself.log(\"Processing custom plugin: \" + title);\n\t\t\t\t\t\tself.saveCustomPlugin(tiddler);\n\t\t\t\t\t} else if(self.explodePlugins === \"no\") {\n\t\t\t\t\t\tself.log(\"Processing custom plugin to tiddlders folder: \" + title);\n\t\t\t\t\t\tself.saveTiddler(\"tiddlers\", tiddler);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Ordinary tiddler\n\t\t\t\t\tself.saveTiddler(\"tiddlers\",tiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Save the tiddlywiki.info file\n\tthis.saveJSONFile(\"tiddlywiki.info\",newWikiInfo);\n\tself.log(\"Writing tiddlywiki.info: \" + JSON.stringify(newWikiInfo,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\n/*\nTest whether the specified tiddler is a plugin in the plugin library\n*/\nWikiFolderMaker.prototype.findPluginInLibrary = function(title) {\n\tvar parts = title.split(\"/\"),\n\t\tpluginPath, type, name;\n\tif(parts[0] === \"$:\") {\n\t\tif(parts[1] === \"languages\" && parts.length === 3) {\n\t\t\tpluginPath = \"languages\" + path.sep + parts[2];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2];\n\t\t} else if(parts[1] === \"plugins\" || parts[1] === \"themes\" && parts.length === 4) {\n\t\t\tpluginPath = parts[1] + path.sep + parts[2] + path.sep + parts[3];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2] + \"/\" + parts[3];\n\t\t}\n\t}\n\tif(pluginPath && type && name) {\n\t\tpluginPath = path.resolve($tw.boot.bootPath,\"..\",pluginPath);\n\t\tif(fs.existsSync(pluginPath)) {\n\t\t\treturn {\n\t\t\t\tpluginPath: pluginPath,\n\t\t\t\ttype: type,\n\t\t\t\tname: name\n\t\t\t};\n\t\t}\n\t}\n\treturn false;\n};\n\nWikiFolderMaker.prototype.saveCustomPlugin = function(pluginTiddler) {\n\tvar self = this,\n\t\tpluginTitle = pluginTiddler.fields.title,\n\t\ttitleParts = pluginTitle.split(\"/\"),\n\t\tdirectory = $tw.utils.generateTiddlerFilepath(titleParts[titleParts.length - 1],{\n\t\t\tdirectory: path.resolve(this.wikiFolderPath,pluginTiddler.fields[\"plugin-type\"] + \"s\")\n\t\t}),\n\t\tpluginInfo = pluginTiddler.getFieldStrings({exclude: [\"text\",\"type\"]});\n\tthis.saveJSONFile(directory + path.sep + \"plugin.info\",pluginInfo);\n\tself.log(\"Writing \" + directory + path.sep + \"plugin.info: \" + JSON.stringify(pluginInfo,null,$tw.config.preferences.jsonSpaces));\n\tvar pluginTiddlers = $tw.utils.parseJSONSafe(pluginTiddler.fields.text).tiddlers; // A hashmap of tiddlers in the plugin\n\t$tw.utils.each(pluginTiddlers,function(tiddler) {\n\t\tself.saveTiddler(directory,new $tw.Tiddler(tiddler));\n\t});\n};\n\nWikiFolderMaker.prototype.saveTiddler = function(directory,tiddler) {\n\tvar title = tiddler.fields.title, fileInfo, pathFilters, extFilters;\n\tif(this.wiki.tiddlerExists(\"$:/config/FileSystemPaths\")) {\n\t\tpathFilters = this.wiki.getTiddlerText(\"$:/config/FileSystemPaths\",\"\").split(\"\\n\");\n\t}\n\tif(this.wiki.tiddlerExists(\"$:/config/FileSystemExtensions\")) {\n\t\textFilters = this.wiki.getTiddlerText(\"$:/config/FileSystemExtensions\",\"\").split(\"\\n\");\n\t}\n\tvar fileInfo = $tw.utils.generateTiddlerFileInfo(tiddler,{\n\t\tdirectory: path.resolve(this.wikiFolderPath,directory),\n\t\tpathFilters: pathFilters,\n\t\textFilters: extFilters,\n\t\twiki: this.wiki,\n\t\tfileInfo: {}\n\t});\n\ttry {\n\t\t$tw.utils.saveTiddlerToFileSync(tiddler,fileInfo);\n\t} catch (err) {\n\t\tconsole.log(\"SaveWikiFolder: Error saving file '\" + fileInfo.filepath + \"', tiddler: '\" + tiddler.fields.title);\n\t}\n};\n\nWikiFolderMaker.prototype.saveJSONFile = function(filename,json) {\n\tthis.saveTextFile(filename,JSON.stringify(json,null,$tw.config.preferences.jsonSpaces));\n};\n\nWikiFolderMaker.prototype.saveTextFile = function(filename,data) {\n\tthis.saveFile(filename,\"utf8\",data);\n};\n\nWikiFolderMaker.prototype.saveFile = function(filename,encoding,data) {\n\tvar filepath = path.resolve(this.wikiFolderPath,filename);\n\t$tw.utils.createFileDirectories(filepath);\n\tfs.writeFileSync(filepath,data,encoding);\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/server.js":{"title":"$:/core/modules/commands/server.js","text":"/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nDeprecated legacy command for serving tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: {\n\t\t\tport: this.params[0],\n\t\t\thost: this.params[6],\n\t\t\t\"root-tiddler\": this.params[1],\n\t\t\t\"root-render-type\": this.params[2],\n\t\t\t\"root-serve-type\": this.params[3],\n\t\t\tusername: this.params[4],\n\t\t\tpassword: this.params[5],\n\t\t\t\"path-prefix\": this.params[7],\n\t\t\t\"debug-level\": this.params[8]\n\t\t}\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/setfield.js":{"title":"$:/core/modules/commands/setfield.js","text":"/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/unpackplugin.js":{"title":"$:/core/modules/commands/unpackplugin.js","text":"/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/verbose.js":{"title":"$:/core/modules/commands/verbose.js","text":"/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n  \" + $tw.boot.logMessages.join(\"\\n  \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/commands/version.js":{"title":"$:/core/modules/commands/version.js","text":"/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n","type":"application/javascript","module-type":"command"},"$:/core/modules/config.js":{"title":"$:/core/modules/config.js","text":"/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter:   \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, dollar:36, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,details,div,dl,dt,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,nav,ol,p,pre,section,summary,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n","type":"application/javascript","module-type":"config"},"$:/core/modules/deserializers.js":{"title":"$:/core/modules/deserializers.js","text":"/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [deserializeTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar results = [],\n\t\tincoming = $tw.utils.parseJSONSafe(text,function(err) {\n\t\t\treturn [{\n\t\t\t\ttitle: \"JSON error: \" + err,\n\t\t\t\ttext: \"\"\n\t\t\t}];\n\t\t});\n\tif(!$tw.utils.isArray(incoming)) {\n\t\tincoming = [incoming];\n\t}\n\tfor(var t=0; t<incoming.length; t++) {\n\t\tvar incomingFields = incoming[t],\n\t\t\tfields = {};\n\t\tfor(var f in incomingFields) {\n\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t}\n\t\t}\n\t\tresults.push(fields);\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\tvar results = [];\n\t// Check if we've got an old-style store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tstoreAreaMatch = storeAreaMarkerRegExp.exec(text);\n\tif(storeAreaMatch) {\n\t\t// If so, we've got tiddlers in classic TiddlyWiki format or unencrypted old-style TW5 format\n\t\tresults.push.apply(results,deserializeStoreArea(text,storeAreaMarkerRegExp.lastIndex,!!storeAreaMatch[1],fields));\n\t}\n\t// Check for new-style store areas\n\tvar newStoreAreaMarkerRegExp = /<script class=\"tiddlywiki-tiddler-store\" type=\"([^\"]*)\">/gi,\n\t\tnewStoreAreaMatch = newStoreAreaMarkerRegExp.exec(text),\n\t\thaveHadNewStoreArea = !!newStoreAreaMatch;\n\twhile(newStoreAreaMatch) {\n\t\tresults.push.apply(results,deserializeNewStoreArea(text,newStoreAreaMarkerRegExp.lastIndex,newStoreAreaMatch[1],fields));\n\t\tnewStoreAreaMatch = newStoreAreaMarkerRegExp.exec(text);\n\t}\n\t// Return if we had either an old-style or a new-style store area\n\tif(storeAreaMatch || haveHadNewStoreArea) {\n\t\treturn results;\n\t}\n\t// Otherwise, check whether we've got an encrypted file\n\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\tif(encryptedStoreArea) {\n\t\t// If so, attempt to decrypt it using the current password\n\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t} else {\n\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\treturn deserializeHtmlFile(text,fields);\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeNewStoreArea(text,storeAreaEnd,type,fields) {\n\tvar endOfScriptRegExp = /<\\/script>/gi;\n\tendOfScriptRegExp.lastIndex = storeAreaEnd;\n\tvar match = endOfScriptRegExp.exec(text);\n\tif(match) {\n\t\tvar scriptContent = text.substring(storeAreaEnd,match.index);\n\t\treturn $tw.wiki.deserializeTiddlers(type,scriptContent);\n\t} else {\n\t\treturn [];\n\t}\n}\n\nfunction deserializeStoreArea(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = deserializeTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar deserializeTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\n})();\n","type":"application/javascript","module-type":"tiddlerdeserializer"},"$:/core/modules/editor/engines/framed.js":{"title":"$:/core/modules/editor/engines/framed.js","text":"/*\\\ntitle: $:/core/modules/editor/engines/framed.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction FramedEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tvar paletteTitle = this.widget.wiki.getTiddlerText(\"$:/palette\");\n\tvar colorScheme = (this.widget.wiki.getTiddler(paletteTitle) || {fields: {}}).fields[\"color-scheme\"] || \"light\";\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"<meta name='color-scheme' content='\" + colorScheme + \"'>\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType && this.widget.editTag !== \"textarea\") {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.iframeNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\tif(this.widget.editAutoComplete) {\n\t\tthis.domNode.setAttribute(\"autocomplete\",this.widget.editAutoComplete);\n\t}\n\tif(this.widget.isDisabled === \"yes\") {\n\t\tthis.domNode.setAttribute(\"disabled\",true);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"click\",handlerObject: this,handlerMethod: \"handleClickEvent\"},\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this,handlerMethod: \"handleKeydownEvent\"},\n\t\t{name: \"focus\",handlerObject: this,handlerMethod: \"handleFocusEvent\"}\n\t]);\n\t// Add drag and drop event listeners if fileDrop is enabled\n\tif(this.widget.isFileDropEnabled) {\n\t\t$tw.utils.addEventListeners(this.domNode,[\n\t\t\t{name: \"dragenter\",handlerObject: this.widget,handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\",handlerObject: this.widget,handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\",handlerObject: this.widget,handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"dragend\",handlerObject: this.widget,handlerMethod: \"handleDragEndEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this.widget,handlerMethod: \"handleDropEvent\"},\n\t\t\t{name: \"paste\", handlerObject: this.widget,handlerMethod: \"handlePasteEvent\"},\n\t\t\t{name: \"click\",handlerObject: this.widget,handlerMethod: \"handleClickEvent\"}\n\t\t]);\n\t}\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n\t// Ensure we don't force text direction to LTR\n\tthis.domNode.style.removeProperty(\"direction\");\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.updateDomNodeText(text);\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nUpdate the DomNode with the new text\n*/\nFramedEngine.prototype.updateDomNodeText = function(text) {\n\ttry {\n\t\tthis.domNode.value = text;\n\t} catch(e) {\n\t\t// Ignore\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = newHeight + \"px\";\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedEngine.prototype.focus  = function() {\n\tif(this.domNode.focus) {\n\t\tthis.domNode.focus();\n\t}\n\tif(this.domNode.select) {\n\t\t$tw.utils.setSelectionByPosition(this.domNode,this.widget.editFocusSelectFromStart,this.widget.editFocusSelectFromEnd);\n\t}\n};\n\n/*\nHandle a focus event\n*/\nFramedEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editCancelPopups) {\n\t\t$tw.popup.cancel(0);\n\t}\n};\n\n/*\nHandle a keydown event\n */\nFramedEngine.prototype.handleKeydownEvent = function(event) {\n\tif ($tw.keyboardManager.handleKeydownEvent(event, {onlyPriority: true})) {\n\t\treturn true;\n\t}\n\n\treturn this.widget.handleKeydownEvent(event);\n};\n\n/*\nHandle a click\n*/\nFramedEngine.prototype.handleClickEvent = function(event) {\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\tif(this.widget.editInputActions) {\n\t\tthis.widget.invokeActionString(this.widget.editInputActions,this,event,{actionValue: this.getText()});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedEngine = FramedEngine;\n\n})();\n","type":"application/javascript","module-type":"library"},"$:/core/modules/editor/engines/simple.js":{"title":"$:/core/modules/editor/engines/simple.js","text":"/*\\\ntitle: $:/core/modules/editor/engines/simple.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction SimpleEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType && this.widget.editTag !== \"textarea\") {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.domNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\tif(this.widget.editAutoComplete) {\n\t\tthis.domNode.setAttribute(\"autocomplete\",this.widget.editAutoComplete);\n\t}\n\tif(this.widget.isDisabled === \"yes\") {\n\t\tthis.domNode.setAttribute(\"disabled\",true);\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode || text === \"\") {\n\t\t\tthis.updateDomNodeText(text);\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nUpdate the DomNode with the new text\n*/\nSimpleEngine.prototype.updateDomNodeText = function(text) {\n\ttry {\n\t\tthis.domNode.value = text;\n\t} catch(e) {\n\t\t// Ignore\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleEngine.prototype.focus = function() {\n\tif(this.domNode.focus) {\n\t\tthis.domNode.focus();\n\t}\n\tif(this.domNode.select) {\n\t\t$tw.utils.setSelectionByPosition(this.domNode,this.widget.editFocusSelectFromStart,this.widget.editFocusSelectFromEnd);\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\tif(this.widget.editInputActions) {\n\t\tthis.widget.invokeActionString(this.widget.editInputActions,this,event,{actionValue: this.getText()});\n\t}\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editCancelPopups) {\n\t\t$tw.popup.cancel(0);\n\t}\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleEngine = SimpleEngine;\n\n})();\n","type":"application/javascript","module-type":"library"},"$:/core/modules/editor/factory.js":{"title":"$:/core/modules/editor/factory.js","text":"/*\\\ntitle: $:/core/modules/editor/factory.js\ntype: application/javascript\nmodule-type: library\n\nFactory for constructing text editor widgets with specified engines for the toolbar and non-toolbar cases\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\n// Configuration tiddlers\nvar HEIGHT_MODE_TITLE = \"$:/config/TextEditor/EditorHeight/Mode\";\nvar ENABLE_TOOLBAR_TITLE = \"$:/config/TextEditor/EnableToolbar\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nfunction editTextWidgetFactory(toolbarEngine,nonToolbarEngine) {\n\n\tvar EditTextWidget = function(parseTreeNode,options) {\n\t\t// Initialise the editor operations if they've not been done already\n\t\tif(!this.editorOperations) {\n\t\t\tEditTextWidget.prototype.editorOperations = {};\n\t\t\t$tw.modules.applyMethods(\"texteditoroperation\",this.editorOperations);\n\t\t}\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tEditTextWidget.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tEditTextWidget.prototype.render = function(parent,nextSibling) {\n\t\t// Save the parent dom node\n\t\tthis.parentDomNode = parent;\n\t\t// Compute our attributes\n\t\tthis.computeAttributes();\n\t\t// Execute our logic\n\t\tthis.execute();\n\t\t// Create the wrapper for the toolbar and render its content\n\t\tif(this.editShowToolbar) {\n\t\t\tthis.toolbarNode = this.document.createElement(\"div\");\n\t\t\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\t\t\tparent.insertBefore(this.toolbarNode,nextSibling);\n\t\t\tthis.renderChildren(this.toolbarNode,null);\n\t\t\tthis.domNodes.push(this.toolbarNode);\n\t\t}\n\t\t// Create our element\n\t\tvar editInfo = this.getEditInfo(),\n\t\t\tEngine = this.editShowToolbar ? toolbarEngine : nonToolbarEngine;\n\t\tthis.engine = new Engine({\n\t\t\t\twidget: this,\n\t\t\t\tvalue: editInfo.value,\n\t\t\t\ttype: editInfo.type,\n\t\t\t\tparentNode: parent,\n\t\t\t\tnextSibling: nextSibling\n\t\t\t});\n\t\t// Call the postRender hook\n\t\tif(this.postRender) {\n\t\t\tthis.postRender();\n\t\t}\n\t\t// Fix height\n\t\tthis.engine.fixHeight();\n\t\t// Focus if required\n\t\tif(this.editFocus === \"true\" || this.editFocus === \"yes\") {\n\t\t\tthis.engine.focus();\n\t\t}\n\t\t// Add widget message listeners\n\t\tthis.addEventListeners([\n\t\t\t{type: \"tm-edit-text-operation\", handler: \"handleEditTextOperationMessage\"}\n\t\t]);\n\t};\n\n\t/*\n\tGet the tiddler being edited and current value\n\t*/\n\tEditTextWidget.prototype.getEditInfo = function() {\n\t\t// Get the edit value\n\t\tvar self = this,\n\t\t\tvalue,\n\t\t\ttype = \"text/plain\",\n\t\t\tupdate;\n\t\tif(this.editIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\t\tupdate = function(value) {\n\t\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t\t}\n\t\t\t};\n\t\t} else {\n\t\t\t// Get the current tiddler and the field name\n\t\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\t\tif(tiddler) {\n\t\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\t\tif(tiddler.hasField(this.editField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t\t\t} else {\n\t\t\t\t\tvalue = this.editDefault || \"\";\n\t\t\t\t}\n\t\t\t\tif(this.editField === \"text\") {\n\t\t\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\t\tswitch(this.editField) {\n\t\t\t\t\tcase \"text\":\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\ttype = \"text/vnd.tiddlywiki\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"title\":\n\t\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\t\tvalue = this.editDefault;\n\t\t\t\t}\n\t\t\t}\n\t\t\tupdate = function(value) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\t\tupdateFields = {\n\t\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t\t};\n\t\t\t\tupdateFields[self.editField] = value;\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t\t};\n\t\t}\n\t\tif(this.editType) {\n\t\t\ttype = this.editType;\n\t\t}\n\t\treturn {value: value || \"\", type: type, update: update};\n\t};\n\n\t/*\n\tHandle an edit text operation message from the toolbar\n\t*/\n\tEditTextWidget.prototype.handleEditTextOperationMessage = function(event) {\n\t\t// Prepare information about the operation\n\t\tvar operation = this.engine.createTextOperation();\n\t\t// Invoke the handler for the selected operation\n\t\tvar handler = this.editorOperations[event.param];\n\t\tif(handler) {\n\t\t\thandler.call(this,event,operation);\n\t\t}\n\t\t// Execute the operation via the engine\n\t\tvar newText = this.engine.executeTextOperation(operation);\n\t\t// Fix the tiddler height and save changes\n\t\tthis.engine.fixHeight();\n\t\tthis.saveChanges(newText);\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tEditTextWidget.prototype.execute = function() {\n\t\t// Get our parameters\n\t\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.editField = this.getAttribute(\"field\",\"text\");\n\t\tthis.editIndex = this.getAttribute(\"index\");\n\t\tthis.editDefault = this.getAttribute(\"default\");\n\t\tthis.editClass = this.getAttribute(\"class\");\n\t\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t\tthis.editSize = this.getAttribute(\"size\");\n\t\tthis.editRows = this.getAttribute(\"rows\");\n\t\tthis.editAutoHeight = this.wiki.getTiddlerText(HEIGHT_MODE_TITLE,\"auto\");\n\t\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",this.editAutoHeight === \"auto\" ? \"yes\" : \"no\") === \"yes\";\n\t\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\t\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\t\tthis.editFocus = this.getAttribute(\"focus\");\n\t\tthis.editFocusSelectFromStart = $tw.utils.parseNumber(this.getAttribute(\"focusSelectFromStart\",\"0\"));\n\t\tthis.editFocusSelectFromEnd = $tw.utils.parseNumber(this.getAttribute(\"focusSelectFromEnd\",\"0\"));\n\t\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\t\tthis.editCancelPopups = this.getAttribute(\"cancelPopups\",\"\") === \"yes\";\n\t\tthis.editInputActions = this.getAttribute(\"inputActions\");\n\t\tthis.editRefreshTitle = this.getAttribute(\"refreshTitle\");\n\t\tthis.editAutoComplete = this.getAttribute(\"autocomplete\");\n\t\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t\tthis.isFileDropEnabled = this.getAttribute(\"fileDrop\",\"no\") === \"yes\";\n\t\t// Get the default editor element tag and type\n\t\tvar tag,type;\n\t\tif(this.editField === \"text\") {\n\t\t\ttag = \"textarea\";\n\t\t} else {\n\t\t\ttag = \"input\";\n\t\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\t\ttag = fieldModule.editTag;\n\t\t\t}\n\t\t\tif(fieldModule && fieldModule.editType) {\n\t\t\t\ttype = fieldModule.editType;\n\t\t\t}\n\t\t\ttype = type || \"text\";\n\t\t}\n\t\t// Get the rest of our parameters\n\t\tthis.editTag = this.getAttribute(\"tag\",tag) || \"input\";\n\t\tthis.editType = this.getAttribute(\"type\",type);\n\t\t// Make the child widgets\n\t\tthis.makeChildWidgets();\n\t\t// Determine whether to show the toolbar\n\t\tthis.editShowToolbar = this.wiki.getTiddlerText(ENABLE_TOOLBAR_TITLE,\"yes\");\n\t\tthis.editShowToolbar = (this.editShowToolbar === \"yes\") && !!(this.children && this.children.length > 0) && (!this.document.isTiddlyWikiFakeDom);\n\t};\n\n\t/*\n\tSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n\t*/\n\tEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup ||  changedAttributes.rows || changedAttributes.tabindex || changedAttributes.cancelPopups || changedAttributes.inputActions || changedAttributes.refreshTitle || changedAttributes.autocomplete || changedTiddlers[HEIGHT_MODE_TITLE] || changedTiddlers[ENABLE_TOOLBAR_TITLE] || changedTiddlers[\"$:/palette\"] || changedAttributes.disabled || changedAttributes.fileDrop) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t} else if (changedTiddlers[this.editRefreshTitle]) {\n\t\t\tthis.engine.updateDomNodeText(this.getEditInfo().value);\n\t\t} else if(changedTiddlers[this.editTitle]) {\n\t\t\tvar editInfo = this.getEditInfo();\n\t\t\tthis.updateEditor(editInfo.value,editInfo.type);\n\t\t}\n\t\tthis.engine.fixHeight();\n\t\tif(this.editShowToolbar) {\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t};\n\n\t/*\n\tUpdate the editor with new text. This method is separate from updateEditorDomNode()\n\tso that subclasses can override updateEditor() and still use updateEditorDomNode()\n\t*/\n\tEditTextWidget.prototype.updateEditor = function(text,type) {\n\t\tthis.updateEditorDomNode(text,type);\n\t};\n\n\t/*\n\tUpdate the editor dom node with new text\n\t*/\n\tEditTextWidget.prototype.updateEditorDomNode = function(text,type) {\n\t\tthis.engine.setText(text,type);\n\t};\n\n\t/*\n\tSave changes back to the tiddler store\n\t*/\n\tEditTextWidget.prototype.saveChanges = function(text) {\n\t\tvar editInfo = this.getEditInfo();\n\t\tif(text !== editInfo.value) {\n\t\t\teditInfo.update(text);\n\t\t}\n\t};\n\n\t/*\n\tHandle a dom \"keydown\" event, which we'll bubble up to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.handleKeydownEvent = function(event) {\n\t\t// Check for a keyboard shortcut\n\t\tif(this.toolbarNode) {\n\t\t\tvar shortcutElements = this.toolbarNode.querySelectorAll(\"[data-tw-keyboard-shortcut]\");\n\t\t\tfor(var index=0; index<shortcutElements.length; index++) {\n\t\t\t\tvar el = shortcutElements[index],\n\t\t\t\t\tshortcutData = el.getAttribute(\"data-tw-keyboard-shortcut\"),\n\t\t\t\t\tkeyInfoArray = $tw.keyboardManager.parseKeyDescriptors(shortcutData,{\n\t\t\t\t\t\twiki: this.wiki\n\t\t\t\t\t});\n\t\t\t\tif($tw.keyboardManager.checkKeyDescriptors(event,keyInfoArray)) {\n\t\t\t\t\tvar clickEvent = this.document.createEvent(\"Events\");\n\t\t\t\t    clickEvent.initEvent(\"click\",true,false);\n\t\t\t\t    el.dispatchEvent(clickEvent);\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\tevent.stopPropagation();\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Propogate the event to the container\n\t\tif(this.propogateKeydownEvent(event)) {\n\t\t\t// Ignore the keydown if it was already handled\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise, process the keydown normally\n\t\treturn false;\n\t};\n\n\t/*\n\tPropogate keydown events to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.propogateKeydownEvent = function(event) {\n\t\tvar newEvent = this.cloneEvent(event,[\"keyCode\",\"code\",\"which\",\"key\",\"metaKey\",\"ctrlKey\",\"altKey\",\"shiftKey\"]);\n\t\treturn !this.parentDomNode.dispatchEvent(newEvent);\n\t};\n\n\tEditTextWidget.prototype.cloneEvent = function(event,propertiesToCopy) {\n\t\tvar propertiesToCopy = propertiesToCopy || [],\n\t\t\tnewEvent = this.document.createEventObject ? this.document.createEventObject() : this.document.createEvent(\"Events\");\n\t\tif(newEvent.initEvent) {\n\t\t\tnewEvent.initEvent(event.type, true, true);\n\t\t}\n\t\t$tw.utils.each(propertiesToCopy,function(prop){\n\t\t\tnewEvent[prop] = event[prop];\n\t\t});\n\t\treturn newEvent;\n\t};\n\n\tEditTextWidget.prototype.dispatchDOMEvent = function(newEvent) {\n\t\tvar dispatchNode = this.engine.iframeNode || this.engine.parentNode;\n\t\treturn dispatchNode.dispatchEvent(newEvent);\n\t};\n\n\t/*\n\tPropogate drag and drop events with File data to our container for the dropzone widgets benefit.\n\tIf there are no Files, let the browser handle it.\n\t*/\n\tEditTextWidget.prototype.handleDropEvent = function(event) {\n\t\tif($tw.utils.dragEventContainsFiles(event)) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\tthis.dispatchDOMEvent(this.cloneEvent(event,[\"dataTransfer\"]));\n\t\t} \n\t};\n\n\tEditTextWidget.prototype.handlePasteEvent = function(event) {\n\t\tif(event.clipboardData && event.clipboardData.files && event.clipboardData.files.length) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\tthis.dispatchDOMEvent(this.cloneEvent(event,[\"clipboardData\"]));\n\t\t}\n\t};\n\n\tEditTextWidget.prototype.handleDragEnterEvent = function(event) {\n\t\tif($tw.utils.dragEventContainsFiles(event)) {\n\t\t\t// Ignore excessive events fired by FF when entering and leaving text nodes in a text area.\n\t\t\tif( event.relatedTarget && (event.relatedTarget.nodeType === 3 || event.target === event.relatedTarget)) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tevent.preventDefault();\n\t\t\treturn this.dispatchDOMEvent(this.cloneEvent(event,[\"dataTransfer\"]));\n\t\t}\n\t\treturn true;\n\t};\n\n\tEditTextWidget.prototype.handleDragOverEvent = function(event) {\n\t\tif($tw.utils.dragEventContainsFiles(event)) {\n\t\t\t// Call preventDefault() in browsers that default to not allowing drop events on textarea\n\t\t\tif($tw.browser.isFirefox || $tw.browser.isIE) {\n\t\t\t\tevent.preventDefault();\n\t\t\t}\n\t\t\tevent.dataTransfer.dropEffect = \"copy\";\n\t\t\treturn this.dispatchDOMEvent(this.cloneEvent(event,[\"dataTransfer\"]));\n\t\t}\n\t\treturn true;\n\t};\n\n\tEditTextWidget.prototype.handleDragLeaveEvent = function(event) {\n\t\t// Ignore excessive events fired by FF when entering and leaving text nodes in a text area.\n\t\tif(event.relatedTarget && ((event.relatedTarget.nodeType === 3) || (event.target === event.relatedTarget))) {\n\t\t\treturn true;\n\t\t}\n\t\tevent.preventDefault();\n\t\tthis.dispatchDOMEvent(this.cloneEvent(event,[\"dataTransfer\"]));\n\t};\n\n\tEditTextWidget.prototype.handleDragEndEvent = function(event) {\n\t\tthis.dispatchDOMEvent(this.cloneEvent(event));\n\t};\n\n\tEditTextWidget.prototype.handleClickEvent = function(event) {\n\t\treturn !this.dispatchDOMEvent(this.cloneEvent(event));\n\t};\n\n\treturn EditTextWidget;\n}\n\nexports.editTextWidgetFactory = editTextWidgetFactory;\n\n})();\n","type":"application/javascript","module-type":"library"},"$:/core/modules/editor/operations/bitmap/clear.js":{"title":"$:/core/modules/editor/operations/bitmap/clear.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/bitmap/clear.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to clear the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"clear\"] = function(event) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.globalAlpha = 1;\n\tctx.fillStyle = event.paramObject.colour || \"white\";\n\tctx.fillRect(0,0,this.canvasDomNode.width,this.canvasDomNode.height);\n\t// Save changes\n\tthis.strokeEnd();\n};\n\n})();\n","type":"application/javascript","module-type":"bitmapeditoroperation"},"$:/core/modules/editor/operations/bitmap/resize.js":{"title":"$:/core/modules/editor/operations/bitmap/resize.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/bitmap/resize.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to resize the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"resize\"] = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(event.paramObject.width || this.canvasDomNode.width,10),\n\t\tnewHeight = parseInt(event.paramObject.height || this.canvasDomNode.height,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newHeight > 0 && !(newWidth === this.currCanvas.width && newHeight === this.currCanvas.height)) {\n\t\tthis.changeCanvasSize(newWidth,newHeight);\n\t}\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n","type":"application/javascript","module-type":"bitmapeditoroperation"},"$:/core/modules/editor/operations/bitmap/rotate-left.js":{"title":"$:/core/modules/editor/operations/bitmap/rotate-left.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/bitmap/rotate-left.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to rotate the image left by 90 degrees\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"rotate-left\"] = function(event) {\n\t// Rotate the canvas left by 90 degrees\n\tthis.rotateCanvasLeft();\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n","type":"application/javascript","module-type":"bitmapeditoroperation"},"$:/core/modules/editor/operations/text/excise.js":{"title":"$:/core/modules/editor/operations/text/excise.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/excise.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to excise the selection to a new tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"excise\"] = function(event,operation) {\n\tvar editTiddler = this.wiki.getTiddler(this.editTitle),\n\t\teditTiddlerTitle = this.editTitle;\n\tif(editTiddler && editTiddler.fields[\"draft.of\"]) {\n\t\teditTiddlerTitle = editTiddler.fields[\"draft.of\"];\n\t}\n\tvar excisionTitle = event.paramObject.title || this.wiki.generateNewTitle(\"New Excision\");\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: excisionTitle,\n\t\t\ttext: operation.selection,\n\t\t\ttags: event.paramObject.tagnew === \"yes\" ?  [editTiddlerTitle] : []\n\t\t}\n\t));\n\toperation.replacement = excisionTitle;\n\tswitch(event.paramObject.type || \"transclude\") {\n\t\tcase \"transclude\":\n\t\t\toperation.replacement = \"{{\" + operation.replacement+ \"}}\";\n\t\t\tbreak;\n\t\tcase \"link\":\n\t\t\toperation.replacement = \"[[\" + operation.replacement+ \"]]\";\n\t\t\tbreak;\n\t\tcase \"macro\":\n\t\t\toperation.replacement = \"<<\" + (event.paramObject.macro || \"translink\") + \" \\\"\\\"\\\"\" + operation.replacement + \"\\\"\\\"\\\">>\";\n\t\t\tbreak;\n\t}\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/focus-editor.js":{"title":"$:/core/modules/editor/operations/text/focus-editor.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/focus-editor.js\ntype: application/javascript\nmodule-type: texteditoroperation\nSimply focus the Text editor\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"focus-editor\"] = function(event,operation) {\n\toperation = null;\n};\n\n})();","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/insert-text.js":{"title":"$:/core/modules/editor/operations/text/insert-text.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/insert-text.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation insert text at the caret position. If there is a selection it is replaced.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"insert-text\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/make-link.js":{"title":"$:/core/modules/editor/operations/text/make-link.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/make-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to make a link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"make-link\"] = function(event,operation) {\n\tif(operation.selection) {\n\t\toperation.replacement = \"[[\" + operation.selection + \"|\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t} else {\n\t\toperation.replacement = \"[[\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t}\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/prefix-lines.js":{"title":"$:/core/modules/editor/operations/text/prefix-lines.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/prefix-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to add a prefix to the selected lines\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"prefix-lines\"] = function(event,operation) {\n\tvar targetCount = parseInt(event.paramObject.count + \"\",10);\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Compose the required prefix\n\tvar prefix = $tw.utils.repeat(event.paramObject.character,targetCount);\n\t// Process each line\n\tvar lines = operation.text.substring(operation.cutStart,operation.cutEnd).split(/\\r?\\n/mg);\n\t$tw.utils.each(lines,function(line,index) {\n\t\t// Remove and count any existing prefix characters\n\t\tvar count = 0;\n\t\twhile($tw.utils.startsWith(line,event.paramObject.character)) {\n\t\t\tline = line.substring(event.paramObject.character.length);\n\t\t\tcount++;\n\t\t}\n\t\t// Remove any whitespace\n\t\twhile(line.charAt(0) === \" \") {\n\t\t\tline = line.substring(1);\n\t\t}\n\t\t// We're done if we removed the exact required prefix, otherwise add it\n\t\tif(count !== targetCount) {\n\t\t\t// Apply the prefix\n\t\t\tline =  prefix + \" \" + line;\n\t\t}\n\t\t// Save the modified line\n\t\tlines[index] = line;\n\t});\n\t// Stitch the replacement text together and set the selection\n\toperation.replacement = lines.join(\"\\n\");\n\tif(lines.length === 1) {\n\t\toperation.newSelStart = operation.cutStart + operation.replacement.length;\n\t\toperation.newSelEnd = operation.newSelStart;\n\t} else {\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.newSelStart + operation.replacement.length;\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/replace-all.js":{"title":"$:/core/modules/editor/operations/text/replace-all.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/replace-all.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the entire text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-all\"] = function(event,operation) {\n\toperation.cutStart = 0;\n\toperation.cutEnd = operation.text.length;\n\toperation.replacement = event.paramObject.text;\n\toperation.newSelStart = 0;\n\toperation.newSelEnd = operation.replacement.length;\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/replace-selection.js":{"title":"$:/core/modules/editor/operations/text/replace-selection.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/replace-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the selection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-selection\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/save-selection.js":{"title":"$:/core/modules/editor/operations/text/save-selection.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/save-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to save the current selection in a specified tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"save-selection\"] = function(event,operation) {\n\tvar tiddler = event.paramObject.tiddler,\n\t\tfield = event.paramObject.field || \"text\";\n\tif(tiddler && field) {\n\t\tthis.wiki.setText(tiddler,field,null,operation.text.substring(operation.selStart,operation.selEnd));\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/wrap-lines.js":{"title":"$:/core/modules/editor/operations/text/wrap-lines.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selected lines with a prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-lines\"] = function(event,operation) {\n\tvar prefix = event.paramObject.prefix || \"\",\n\t\tsuffix = event.paramObject.suffix || \"\";\n\tif($tw.utils.endsWith(operation.text.substring(0,operation.selStart), prefix + \"\\n\") &&\n\t\t\t$tw.utils.startsWith(operation.text.substring(operation.selEnd), \"\\n\" + suffix)) {\n\t\t// Selected text is already surrounded by prefix and suffix: Remove them\n\t\t// Cut selected text plus prefix and suffix\n\t\toperation.cutStart = operation.selStart - (prefix.length + 1);\n\t\toperation.cutEnd = operation.selEnd + suffix.length + 1;\n\t\t// Also cut the following newline (if there is any)\n\t\tif (operation.text[operation.cutEnd] === \"\\n\") {\n\t\t\toperation.cutEnd++;\n\t\t}\n\t\t// Replace with selection\n\t\toperation.replacement = operation.text.substring(operation.selStart,operation.selEnd);\n\t\t// Select text that was in between prefix and suffix\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.selEnd - (prefix.length + 1);\n\t} else {\n\t\t// Cut just past the preceding line break, or the start of the text\n\t\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t\t// Cut to just past the following line break, or to the end of the text\n\t\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t\t// Add the prefix and suffix\n\t\toperation.replacement = prefix + \"\\n\" +\n\t\t\t\t\toperation.text.substring(operation.cutStart,operation.cutEnd) + \"\\n\" +\n\t\t\t\t\tsuffix + \"\\n\";\n\t\toperation.newSelStart = operation.cutStart + prefix.length + 1;\n\t\toperation.newSelEnd = operation.newSelStart + (operation.cutEnd - operation.cutStart);\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/editor/operations/text/wrap-selection.js":{"title":"$:/core/modules/editor/operations/text/wrap-selection.js","text":"/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selection with the specified prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-selection\"] = function(event,operation) {\n\tif(operation.selStart === operation.selEnd) {\n\t\t// No selection; check if we're within the prefix/suffix\n\t\tif(operation.text.substring(operation.selStart - event.paramObject.prefix.length,operation.selStart + event.paramObject.suffix.length) === event.paramObject.prefix + event.paramObject.suffix) {\n\t\t\t// Remove the prefix and suffix\n\t\t\toperation.cutStart = operation.selStart - event.paramObject.prefix.length;\n\t\t\toperation.cutEnd = operation.selEnd + event.paramObject.suffix.length;\n\t\t\toperation.replacement = \"\";\n\t\t\toperation.newSelStart = operation.cutStart;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t} else {\n\t\t\t// Wrap the cursor instead\n\t\t\toperation.cutStart = operation.selStart;\n\t\t\toperation.cutEnd = operation.selEnd;\n\t\t\toperation.replacement = event.paramObject.prefix + event.paramObject.suffix;\n\t\t\toperation.newSelStart = operation.selStart + event.paramObject.prefix.length;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t}\n\t} else if(operation.text.substring(operation.selStart,operation.selStart + event.paramObject.prefix.length) === event.paramObject.prefix && operation.text.substring(operation.selEnd - event.paramObject.suffix.length,operation.selEnd) === event.paramObject.suffix) {\n\t\t// Prefix and suffix are already present, so remove them\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = operation.selection.substring(event.paramObject.prefix.length,operation.selection.length - event.paramObject.suffix.length);\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t} else {\n\t\t// Add the prefix and suffix\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = event.paramObject.prefix + operation.selection + event.paramObject.suffix;\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"texteditoroperation"},"$:/core/modules/filterrunprefixes/all.js":{"title":"$:/core/modules/filterrunprefixes/all.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/all.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nUnion of sets without de-duplication.\nEquivalent to = filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.all = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.push.apply(results, operationSubFunction(source,widget));\n\t};\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/and.js":{"title":"$:/core/modules/filterrunprefixes/and.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/and.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nIntersection of sets.\nEquivalent to + filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.and = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\tsource = options.wiki.makeTiddlerIterator(results.toArray());\n\t\tresults.clear();\n\t\tresults.pushTop(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/cascade.js":{"title":"$:/core/modules/filterrunprefixes/cascade.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/cascade.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.cascade = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length !== 0) {\n\t\t\tvar filterList = operationSubFunction(source,widget),\n\t\t\t\tfilterFnList = [];\n\t\t\tvar inputResults = results.toArray();\n\t\t\tresults.clear();\n\t\t\t$tw.utils.each(inputResults,function(title) {\n\t\t\t\tvar result = \"\"; // If no filter matches, we return an empty string\n\t\t\t\t$tw.utils.each(filterList,function(filter,index) {\n\t\t\t\t\tif(!filterFnList[index]) {\n\t\t\t\t\t\tfilterFnList[index] = options.wiki.compileFilter(filter);\n\t\t\t\t\t}\n\t\t\t\t\tvar output = filterFnList[index](options.wiki.makeTiddlerIterator([title]),widget.makeFakeWidgetWithVariables({\n\t\t\t\t\t\t\"currentTiddler\": \"\" + title,\n\t\t\t\t\t\t\"..currentTiddler\": widget.getVariable(\"currentTiddler\",\"\")\n\t\t\t\t\t}));\n\t\t\t\t\tif(output.length !== 0) {\n\t\t\t\t\t\tresult = output[0];\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tresults.push(result);\n\t\t\t});\n\t\t}\n\t}\n};\n\n})();","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/else.js":{"title":"$:/core/modules/filterrunprefixes/else.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/else.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nEquivalent to ~ filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.else = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tif(results.length === 0) {\n\t\t\t// Main result so far is empty\n\t\t\tresults.pushTop(operationSubFunction(source,widget));\n\t\t}\n\t};\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/except.js":{"title":"$:/core/modules/filterrunprefixes/except.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/except.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nDifference of sets.\nEquivalent to - filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.except = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.remove(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/filter.js":{"title":"$:/core/modules/filterrunprefixes/filter.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/filter.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.filter = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length > 0) {\n\t\t\tvar resultsToRemove = [],\n\t\t\t\tindex = 0;\n\t\t\tresults.each(function(title) {\n\t\t\t\tvar filtered = operationSubFunction(options.wiki.makeTiddlerIterator([title]),widget.makeFakeWidgetWithVariables({\n\t\t\t\t\t\"currentTiddler\": \"\" + title,\n\t\t\t\t\t\"..currentTiddler\": widget.getVariable(\"currentTiddler\",\"\"),\n\t\t\t\t\t\"index\": \"\" + index,\n\t\t\t\t\t\"revIndex\": \"\" +  (results.length - 1 - index),\n\t\t\t\t\t\"length\": \"\" + results.length\n\t\t\t\t}));\n\t\t\t\tif(filtered.length === 0) {\n\t\t\t\t\tresultsToRemove.push(title);\n\t\t\t\t}\n\t\t\t\t++index;\n\t\t\t});\n\t\t\tresults.remove(resultsToRemove);\n\t\t}\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/intersection.js":{"title":"$:/core/modules/filterrunprefixes/intersection.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/intersection.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.intersection = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tif(results.length !== 0) {\n\t\t\tvar secondRunResults = operationSubFunction(source,widget);\n\t\t\tvar firstRunResults = results.toArray();\n\t\t\tresults.clear();\n\t\t\t$tw.utils.each(firstRunResults,function(title) {\n\t\t\t\tif(secondRunResults.indexOf(title) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t};\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/map.js":{"title":"$:/core/modules/filterrunprefixes/map.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/map.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.map = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length > 0) {\n\t\t\tvar inputTitles = results.toArray(),\n\t\t\t\tindex = 0,\n\t\t\t\tsuffixes = options.suffixes,\n\t\t\t\tflatten = (suffixes[0] && suffixes[0][0] === \"flat\") ? true : false;\n\t\t\tresults.clear();\n\t\t\t$tw.utils.each(inputTitles,function(title) {\n\t\t\t\tvar filtered = operationSubFunction(options.wiki.makeTiddlerIterator([title]),widget.makeFakeWidgetWithVariables({\n\t\t\t\t\t\"currentTiddler\": \"\" + title,\n\t\t\t\t\t\"..currentTiddler\": widget.getVariable(\"currentTiddler\",\"\"),\n\t\t\t\t\t\"index\": \"\" + index,\n\t\t\t\t\t\"revIndex\": \"\" +  (inputTitles.length - 1 - index),\n\t\t\t\t\t\"length\": \"\" + inputTitles.length\n\t\t\t\t}));\n\t\t\t\tif(filtered.length && flatten) {\n\t\t\t\t\t$tw.utils.each(filtered,function(value) {\n\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t})\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(filtered[0]||\"\");\n\t\t\t\t}\n\t\t\t\t++index;\n\t\t\t});\n\t\t}\n\t}\n};\n\n})();","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/or.js":{"title":"$:/core/modules/filterrunprefixes/or.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/or.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nEquivalent to a filter run with no prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.or = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.pushTop(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/reduce.js":{"title":"$:/core/modules/filterrunprefixes/reduce.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/reduce.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.reduce = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length > 0) {\n\t\t\tvar accumulator = \"\",\n\t\t\t\tindex = 0;\n\t\t\tresults.each(function(title) {\n\t\t\t\tvar list = operationSubFunction(options.wiki.makeTiddlerIterator([title]),widget.makeFakeWidgetWithVariables({\n\t\t\t\t\t\"currentTiddler\": \"\" + title,\n\t\t\t\t\t\"..currentTiddler\": widget.getVariable(\"currentTiddler\"),\n\t\t\t\t\t\"index\": \"\" + index,\n\t\t\t\t\t\"revIndex\": \"\" +  (results.length - 1 - index),\n\t\t\t\t\t\"length\": \"\" + results.length,\n\t\t\t\t\t\"accumulator\": \"\" + accumulator\n\t\t\t\t}));\n\t\t\t\tif(list.length > 0) {\n\t\t\t\t\taccumulator = \"\" + list[0];\n\t\t\t\t}\n\t\t\t\t++index;\n\t\t\t});\n\t\t\tresults.clear();\n\t\t\tresults.push(accumulator);\n\t\t}\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/sort.js":{"title":"$:/core/modules/filterrunprefixes/sort.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/sort.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.sort = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length > 0) {\n\t\t\tvar suffixes = options.suffixes,\n\t\t\t\tsortType = (suffixes[0] && suffixes[0][0]) ? suffixes[0][0] : \"string\",\n\t\t\t\tinvert = suffixes[1] ? (suffixes[1].indexOf(\"reverse\") !== -1) : false,\n\t\t\t\tisCaseSensitive = suffixes[1] ? (suffixes[1].indexOf(\"casesensitive\") !== -1) : false,\n\t\t\t\tinputTitles = results.toArray(),\n\t\t\t\tsortKeys = [],\n\t\t\t\tindexes = new Array(inputTitles.length),\n\t\t\t\tcompareFn;\n\t\t\tresults.each(function(title) {\n\t\t\t\tvar key = operationSubFunction(options.wiki.makeTiddlerIterator([title]),widget.makeFakeWidgetWithVariables({\n\t\t\t\t\t\"currentTiddler\": \"\" + title,\n\t\t\t\t\t\"..currentTiddler\": widget.getVariable(\"currentTiddler\")\n\t\t\t\t}));\n\t\t\t\tsortKeys.push(key[0] || \"\");\n\t\t\t});\n\t\t\tresults.clear();\n\t\t\t// Prepare an array of indexes to sort\n\t\t\tfor(var t=0; t<inputTitles.length; t++) {\n\t\t\t\tindexes[t] = t;\n\t\t\t}\n\t\t\t// Sort the indexes\n\t\t\tcompareFn = $tw.utils.makeCompareFunction(sortType,{defaultType: \"string\", invert:invert, isCaseSensitive:isCaseSensitive});\n\t\t\tindexes = indexes.sort(function(a,b) {\n\t\t\t\t\treturn compareFn(sortKeys[a],sortKeys[b]);\n\t\t\t});\n\t\t\t// Add to results in correct order\n\t\t\t$tw.utils.each(indexes,function(index) {\n\t\t\t\tresults.push(inputTitles[index]);\n\t\t\t});\n\t\t}\n\t}\n};\n\n})();","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filterrunprefixes/then.js":{"title":"$:/core/modules/filterrunprefixes/then.js","text":"/*\\\ntitle: $:/core/modules/filterrunprefixes/then.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nReplace results of previous runs unless empty\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.then = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tif(results.length !== 0) {\n\t\t\t// Only run if previous run(s) produced results\n\t\t\tvar thisRunResult = operationSubFunction(source,widget);\n\t\t\tif(thisRunResult.length !== 0) {\n\t\t\t\t// Replace results only if this run actually produces a result\n\t\t\t\tresults.clear();\n\t\t\t\tresults.pushTop(thisRunResult);\n\t\t\t}\n\t\t}\n\t};\n};\n\n})();\n","type":"application/javascript","module-type":"filterrunprefix"},"$:/core/modules/filters/addprefix.js":{"title":"$:/core/modules/filters/addprefix.js","text":"/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/addsuffix.js":{"title":"$:/core/modules/filters/addsuffix.js","text":"/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/after.js":{"title":"$:/core/modules/filters/after.js","text":"/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/all/current.js":{"title":"$:/core/modules/filters/all/current.js","text":"/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"allfilteroperator"},"$:/core/modules/filters/all/missing.js":{"title":"$:/core/modules/filters/all/missing.js","text":"/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n","type":"application/javascript","module-type":"allfilteroperator"},"$:/core/modules/filters/all/orphans.js":{"title":"$:/core/modules/filters/all/orphans.js","text":"/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n","type":"application/javascript","module-type":"allfilteroperator"},"$:/core/modules/filters/all/shadows.js":{"title":"$:/core/modules/filters/all/shadows.js","text":"/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n","type":"application/javascript","module-type":"allfilteroperator"},"$:/core/modules/filters/all/tags.js":{"title":"$:/core/modules/filters/all/tags.js","text":"/*\\\ntitle: $:/core/modules/filters/all/tags.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tags]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,prefix,options) {\n\treturn Object.keys(options.wiki.getTagMap());\n};\n\n})();\n","type":"application/javascript","module-type":"allfilteroperator"},"$:/core/modules/filters/all/tiddlers.js":{"title":"$:/core/modules/filters/all/tiddlers.js","text":"/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n","type":"application/javascript","module-type":"allfilteroperator"},"$:/core/modules/filters/all.js":{"title":"$:/core/modules/filters/all.js","text":"/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Check for common optimisations\n\tvar subops = operator.operand.split(\"+\");\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = new $tw.utils.LinkedList();\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\tresults.pushTop(subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results.makeTiddlerIterator(options.wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/backlinks.js":{"title":"$:/core/modules/filters/backlinks.js","text":"/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = new $tw.utils.LinkedList();\n\tsource(function(tiddler,title) {\n\t\tresults.pushTop(options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results.makeTiddlerIterator(options.wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/before.js":{"title":"$:/core/modules/filters/before.js","text":"/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/commands.js":{"title":"$:/core/modules/filters/commands.js","text":"/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/compare.js":{"title":"$:/core/modules/filters/compare.js","text":"/*\\\ntitle: $:/core/modules/filters/compare.js\ntype: application/javascript\nmodule-type: filteroperator\n\nGeneral purpose comparison operator\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.compare = function(source,operator,options) {\n\tvar suffixes = operator.suffixes || [],\n\t\ttype = (suffixes[0] || [])[0],\n\t\tmode = (suffixes[1] || [])[0],\n\t\ttypeFn = $tw.utils.makeCompareFunction(type,{defaultType: \"number\"}),\n\t\tmodeFn = modes[mode] || modes.eq,\n\t\tinvert = operator.prefix === \"!\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tif(modeFn(typeFn(title,operator.operand)) !== invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nvar modes = {\n\t\"eq\": function(value) {return value === 0;},\n\t\"ne\": function(value) {return value !== 0;},\n\t\"gteq\": function(value) {return value >= 0;},\n\t\"gt\": function(value) {return value > 0;},\n\t\"lteq\": function(value) {return value <= 0;},\n\t\"lt\": function(value) {return value < 0;}\n}\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/contains.js":{"title":"$:/core/modules/filters/contains.js","text":"/*\\\ntitle: $:/core/modules/filters/contains.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for finding values in array fields\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.contains = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = operator.suffix || \"list\";\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/count.js":{"title":"$:/core/modules/filters/count.js","text":"/*\\\ntitle: $:/core/modules/filters/count.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the number of entries in the current list.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.count = function(source,operator,options) {\n\tvar count = 0;\n\tsource(function(tiddler,title) {\n\t\tcount++;\n\t});\n\treturn [count + \"\"];\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/crypto.js":{"title":"$:/core/modules/filters/crypto.js","text":"/*\\\ntitle: $:/core/modules/filters/crypto.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for cryptography, using the Stanford JavaScript library\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.sha256 = function(source,operator,options) {\n\tvar results = [],\n\t\tlength = parseInt(operator.operand,10) || 20,\n\t\tsha256 = function(text) {\n\t\t\treturn sjcl.codec.hex.fromBits(sjcl.hash.sha256.hash(text)).substr(0,length);\n\t\t};\n\tsource(function(tiddler,title) {\n\t\tresults.push(sha256(title));\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/days.js":{"title":"$:/core/modules/filters/days.js","text":"/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\ttargetTimeStamp = targetTimeStamp - 1000*60*60*24*dayIntervalSign;\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/deserialize.js":{"title":"$:/core/modules/filters/deserialize.js","text":"/*\\\ntitle: $:/core/modules/filters/deserialize.js\ntype: application/javascript\nmodule-type: filteroperator\nFilter operator for deserializing string data into JSON representing tiddlers\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"deserialize\"] = function(source,operator,options) {\n\tvar results = [],\n\t\tdeserializer;\n\tif(operator.operand) {\n\t\t// Get the deserializer identified by the operand\n\t\tdeserializer = $tw.Wiki.tiddlerDeserializerModules[operator.operand];\n\t\tif(deserializer) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tvar tiddlers;\n\t\t\t\ttry {\n\t\t\t\t\ttiddlers = deserializer(title);\n\t\t\t\t} catch(e) {\n\t\t\t\t\t// Return an empty array if we could not extract any tiddlers\n\t\t\t\t\ttiddlers = [];\n\t\t\t\t}\n\t\t\t\tresults.push(JSON.stringify(tiddlers));\n\t\t\t});\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/DeserializeOperator/UnknownDeserializer\")];\n\t\t}\n\t} else {\n\t\treturn [$tw.language.getString(\"Error/DeserializeOperator/MissingOperand\")];\n\t}\n\treturn results;\n}\n\n})();","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/deserializers.js":{"title":"$:/core/modules/filters/deserializers.js","text":"/*\\\ntitle: $:/core/modules/filters/deserializers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the deserializers in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.deserializers = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.Wiki.tiddlerDeserializerModules,function(deserializer,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/duplicateslugs.js":{"title":"$:/core/modules/filters/duplicateslugs.js","text":"/*\\\ntitle: $:/core/modules/filters/duplicateslugs.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter function for [duplicateslugs[]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.duplicateslugs = function(source,operator,options) {\n\tvar slugs = Object.create(null), // Hashmap by slug of title, replaced with \"true\" if the duplicate title has already been output\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tvar slug = options.wiki.slugify(title);\n\t\tif(slug in slugs) {\n\t\t\tif(slugs[slug] !== true) {\n\t\t\t\tresults.push(slugs[slug]);\n\t\t\t\tslugs[slug] = true;\n\t\t\t}\n\t\t\tresults.push(title);\n\t\t} else {\n\t\t\tslugs[slug] = title;\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/each.js":{"title":"$:/core/modules/filters/each.js","text":"/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\tvalue,values = {},\n\tfield = operator.operand || \"title\";\n\tif(operator.suffix === \"value\" && field === \"title\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(values,title)) {\n\t\t\t\tvalues[title] = true;\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else if(operator.suffix !== \"list-item\") {\n\t\tif(field === \"title\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && !$tw.utils.hop(values,title)) {\n\t\t\t\t\tvalues[title] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvalue = tiddler.getFieldString(field);\n\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/eachday.js":{"title":"$:/core/modules/filters/eachday.js","text":"/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/editiondescription.js":{"title":"$:/core/modules/filters/editiondescription.js","text":"/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [];\n\tif($tw.node) {\n\t\tvar editionInfo = $tw.utils.getEditionInfo();\n\t\tif(editionInfo) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\t\tresults.push(editionInfo[title].description || \"\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/editions.js":{"title":"$:/core/modules/filters/editions.js","text":"/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [];\n\tif($tw.node) {\n\t\tvar editionInfo = $tw.utils.getEditionInfo();\n\t\tif(editionInfo) {\n\t\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\t\tresults.push(name);\n\t\t\t});\n\t\t}\n\t\tresults.sort();\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/else.js":{"title":"$:/core/modules/filters/else.js","text":"/*\\\ntitle: $:/core/modules/filters/else.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing an empty input list with a constant, passing a non-empty input list straight through\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.else = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tif(results.length === 0) {\n\t\treturn [operator.operand];\n\t} else {\n\t\treturn results;\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/decodeuricomponent.js":{"title":"$:/core/modules/filters/decodeuricomponent.js","text":"/*\\\ntitle: $:/core/modules/filters/decodeuricomponent.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for applying decodeURIComponent() to each item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter functions\n*/\n\nexports.decodebase64 = function(source,operator,options) {\n\tvar results = [];\n\tvar binary = operator.suffixes && operator.suffixes.indexOf(\"binary\") !== -1;\n\tvar urlsafe = operator.suffixes && operator.suffixes.indexOf(\"urlsafe\") !== -1;\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.base64Decode(title,binary,urlsafe));\n\t});\n\treturn results;\n};\n\nexports.encodebase64 = function(source,operator,options) {\n\tvar results = [];\n\tvar binary = operator.suffixes && operator.suffixes.indexOf(\"binary\") !== -1;\n\tvar urlsafe = operator.suffixes && operator.suffixes.indexOf(\"urlsafe\") !== -1;\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.base64Encode(title,binary,urlsafe));\n\t});\n\treturn results;\n};\n\nexports.decodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.decodeURIComponentSafe(title));\n\t});\n\treturn results;\n};\n\nexports.encodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.encodeURIComponentExtended(title));\n\t});\n\treturn results;\n};\n\nexports.decodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.decodeURISafe(title));\n\t});\n\treturn results;\n};\n\nexports.encodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.decodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlDecode(title));\n\t});\n\treturn results;\n};\n\nexports.encodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlEncode(title));\n\t});\n\treturn results;\n};\n\nexports.stringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.stringify(title,(operator.suffix === \"rawunicode\")));\n\t});\n\treturn results;\n};\n\nexports.jsonstringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.jsonStringify(title,(operator.suffix === \"rawunicode\")));\n\t});\n\treturn results;\n};\n\nexports.escaperegexp = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.escapeRegExp(title));\n\t});\n\treturn results;\n};\n\nexports.escapecss = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t// escape any character with a special meaning in CSS using CSS.escape()\n\t\tresults.push($tw.utils.escapeCSS(title));\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/enlist.js":{"title":"$:/core/modules/filters/enlist.js","text":"/*\\\ntitle: $:/core/modules/filters/enlist.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand parsed as a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.enlist = function(source,operator,options) {\n\tvar allowDuplicates = false;\n\tswitch(operator.suffix) {\n\t\tcase \"raw\":\n\t\t\tallowDuplicates = true;\n\t\t\tbreak;\n\t\tcase \"dedupe\":\n\t\t\tallowDuplicates = false;\n\t\t\tbreak;\n\t}\n\tvar list = $tw.utils.parseStringArray(operator.operand,allowDuplicates);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/field.js":{"title":"$:/core/modules/filters/field.js","text":"/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],indexedResults,\n\t\tfieldname = operator.suffix || operator.operator || \"title\";\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tif(source.byField && operator.operand) {\n\t\t\t\tindexedResults = source.byField(fieldname,operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults\n\t\t\t\t}\n\t\t\t}\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/fields.js":{"title":"$:/core/modules/filters/fields.js","text":"/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName,\n\t\tsuffixes = (operator.suffixes || [])[0] || [],\n\t\toperand = $tw.utils.parseStringArray(operator.operand);\n\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(suffixes.indexOf(\"include\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? $tw.utils.pushTop(results,fieldName) : \"\";\n\t\t\t\t}\n\t\t\t} else if (suffixes.indexOf(\"exclude\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? \"\" : $tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else if\n\t\t\telse {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else\n\t\t} // if (tiddler)\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/filter.js":{"title":"$:/core/modules/filters/filter.js","text":"/*\\\ntitle: $:/core/modules/filters/filter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning those input titles that pass a subfilter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.filter = function(source,operator,options) {\n\tvar filterFn = options.wiki.compileFilter(operator.operand),\n\t\tresults = [],\n\t\ttarget = operator.prefix !== \"!\";\n\tsource(function(tiddler,title) {\n\t\tvar list = filterFn.call(options.wiki,options.wiki.makeTiddlerIterator([title]),options.widget.makeFakeWidgetWithVariables({\n\t\t\t\"currentTiddler\": \"\" + title,\n\t\t\t\"..currentTiddler\": options.widget.getVariable(\"currentTiddler\",\"\")\n\t\t}));\n\t\tif((list.length > 0) === target) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/format/date.js":{"title":"$:/core/modules/filters/format/date.js","text":"/*\\\ntitle: $:/core/modules/filters/format/date.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.date = function(source,operand,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = $tw.utils.parseDate(title);\n\t\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\t\tresults.push($tw.utils.formatDateString(value,operand || \"YYYY MM DD 0hh:0mm\"));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();","type":"application/javascript","module-type":"formatfilteroperator"},"$:/core/modules/filters/format/json.js":{"title":"$:/core/modules/filters/format/json.js","text":"/*\\\ntitle: $:/core/modules/filters/format/json.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.json = function(source,operand,options) {\n\tvar results = [],\n\t\tspaces = null;\n\tif(operand) {\n\t\tspaces = /^\\d+$/.test(operand) ? parseInt(operand,10) : operand;\n\t}\n\tsource(function(tiddler,title) {\n\t\tvar data = $tw.utils.parseJSONSafe(title);\n\t\ttry {\n\t\t\tdata = JSON.parse(title);\n\t\t} catch(e) {\n\t\t\tdata = undefined;\n\t\t}\n\t\tif(data !== undefined) {\n\t\t\tresults.push(JSON.stringify(data,null,spaces));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();","type":"application/javascript","module-type":"formatfilteroperator"},"$:/core/modules/filters/format/relativedate.js":{"title":"$:/core/modules/filters/format/relativedate.js","text":"/*\\\ntitle: $:/core/modules/filters/format/relativedate.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.relativedate = function(source,operand,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = $tw.utils.parseDate(title);\n\t\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\t\tresults.push($tw.utils.getRelativeDate((new Date()) - (new Date(value))).description);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();","type":"application/javascript","module-type":"formatfilteroperator"},"$:/core/modules/filters/format/timestamp.js":{"title":"$:/core/modules/filters/format/timestamp.js","text":"/*\\\ntitle: $:/core/modules/filters/format/timestamp.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.timestamp = function(source,operand,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif (title.match(/^-?\\d+$/)) {\n\t\t\tvar value = new Date(Number(title));\n\t\t\tresults.push($tw.utils.formatDateString(value,operand || \"[UTC]YYYY0MM0DD0hh0mm0ss0XXX\"));\n\t\t}\n\t});\n\treturn results;\n};\n})();","type":"application/javascript","module-type":"formatfilteroperator"},"$:/core/modules/filters/format/titlelist.js":{"title":"$:/core/modules/filters/format/titlelist.js","text":"/*\\\ntitle: $:/core/modules/filters/format/titlelist.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.titlelist = function(source,operand,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title && title.length) {\n\t\t\tresults.push($tw.utils.stringifyList([title]));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"formatfilteroperator"},"$:/core/modules/filters/format.js":{"title":"$:/core/modules/filters/format.js","text":"/*\\\ntitle: $:/core/modules/filters/format.js\ntype: application/javascript\nmodule-type: filteroperator\nFilter operator for formatting strings\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar formatFilterOperators;\n\nfunction getFormatFilterOperators() {\n\tif(!formatFilterOperators) {\n\t\tformatFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"formatfilteroperator\",formatFilterOperators);\n\t}\n\treturn formatFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.format = function(source,operator,options) {\n\t// Dispatch to the correct formatfilteroperator\n\tvar formatFilterOperators = getFormatFilterOperators();\n\tif(operator.suffix) {\n\t\tvar formatFilterOperator = formatFilterOperators[operator.suffix];\n\t\tif(formatFilterOperator) {\n\t\t\treturn formatFilterOperator(source,operator.operand,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/FormatFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all unchanged if the suffix is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/function.js":{"title":"$:/core/modules/filters/function.js","text":"/*\\\ntitle: $:/core/modules/filters/function.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning those input titles that are returned from a function\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.function = function(source,operator,options) {\n\tvar functionName = operator.operands[0],\n\t\tparams = [];\n\t$tw.utils.each(operator.operands.slice(1),function(param) {\n\t\tparams.push({value: param});\n\t});\n\tvar variableInfo = options.widget && options.widget.getVariableInfo && options.widget.getVariableInfo(functionName,{params: params, source: source});\n\tif(variableInfo && variableInfo.srcVariable && variableInfo.srcVariable.isFunctionDefinition) {\n\t\treturn variableInfo.resultList ? variableInfo.resultList : [variableInfo.text];\n\t}\n\t// Return the input list if the function wasn't found\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/get.js":{"title":"$:/core/modules/filters/get.js","text":"/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/getindex.js":{"title":"$:/core/modules/filters/getindex.js","text":"/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/getvariable.js":{"title":"$:/core/modules/filters/getvariable.js","text":"/*\\\ntitle: $:/core/modules/filters/getvariable.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing input values by the value of the variable with the same name, or blank if the variable is missing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getvariable = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.widget.getVariable(title) || \"\");\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/has.js":{"title":"$:/core/modules/filters/has.js","text":"/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field or index\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [],\n\t\tinvert = operator.prefix === \"!\";\n\n\tif(operator.suffix === \"field\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse if(operator.suffix === \"index\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(options.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(options.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,operator.operand) || (tiddler.fields[operator.operand].length === 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && (tiddler.fields[operator.operand].length !== 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/haschanged.js":{"title":"$:/core/modules/filters/haschanged.js","text":"/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/indexes.js":{"title":"$:/core/modules/filters/indexes.js","text":"/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/insertafter.js":{"title":"$:/core/modules/filters/insertafter.js","text":"/*\\\ntitle: $:/core/modules/filters/insertafter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item after another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertafter = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = operator.operands[1] || (options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\"));\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry after the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos+1,0,operator.operand);\n\t\t} else {\n\t\t\tvar suffix = operator.operands.length > 1 ? operator.suffix : \"\";\n\t\t\tif(suffix === \"start\") {\n\t\t\t\tresults.splice(0,0,operator.operand);\n\t\t\t} else {\n\t\t\t\tresults.push(operator.operand);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/insertbefore.js":{"title":"$:/core/modules/filters/insertbefore.js","text":"/*\\\ntitle: $:/core/modules/filters/insertbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item before another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = operator.operands[1] || (options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\"));\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry before the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,0,operator.operand);\n\t\t} else {\n\t\t\tvar suffix = operator.operands.length > 1 ? operator.suffix : \"\";\n\t\t\tif(suffix == \"start\") {\n\t\t\t\tresults.splice(0,0,operator.operand);\n\t\t\t} else {\n\t\t\t\tresults.push(operator.operand);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/is/binary.js":{"title":"$:/core/modules/filters/is/binary.js","text":"/*\\\ntitle: $:/core/modules/filters/is/binary.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[binary]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.binary = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/blank.js":{"title":"$:/core/modules/filters/is/blank.js","text":"/*\\\ntitle: $:/core/modules/filters/is/blank.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[blank]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.blank = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/current.js":{"title":"$:/core/modules/filters/is/current.js","text":"/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/draft.js":{"title":"$:/core/modules/filters/is/draft.js","text":"/*\\\ntitle: $:/core/modules/filters/is/draft.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[draft]] analagous to [has[draft.of]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.draft = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.isDraft()) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.isDraft()) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/image.js":{"title":"$:/core/modules/filters/is/image.js","text":"/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/missing.js":{"title":"$:/core/modules/filters/is/missing.js","text":"/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/orphan.js":{"title":"$:/core/modules/filters/is/orphan.js","text":"/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/shadow.js":{"title":"$:/core/modules/filters/is/shadow.js","text":"/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/system.js":{"title":"$:/core/modules/filters/is/system.js","text":"/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/tag.js":{"title":"$:/core/modules/filters/is/tag.js","text":"/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/tiddler.js":{"title":"$:/core/modules/filters/is/tiddler.js","text":"/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is/variable.js":{"title":"$:/core/modules/filters/is/variable.js","text":"/*\\\ntitle: $:/core/modules/filters/is/variable.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[variable]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variable = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.widget.getVariable(title) === undefined) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.widget.getVariable(title) !== undefined) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"isfilteroperator"},"$:/core/modules/filters/is.js":{"title":"$:/core/modules/filters/is.js","text":"/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tif(operator.operand) {\n\t\tvar isFilterOperator = isFilterOperators[operator.operand];\n\t\tif(isFilterOperator) {\n\t\t\treturn isFilterOperator(source,operator.prefix,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/IsFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all tiddlers if the operand is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/json-ops.js":{"title":"$:/core/modules/filters/json-ops.js","text":"/*\\\ntitle: $:/core/modules/filters/json-ops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for JSON operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"jsonget\"] = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = $tw.utils.parseJSONSafe(title,title);\n\t\tif(data) {\n\t\t\tvar items = getDataItemValueAsStrings(data,operator.operands);\n\t\t\tif(items !== undefined) {\n\t\t\t\tresults.push.apply(results,items);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\nexports[\"jsonextract\"] = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = $tw.utils.parseJSONSafe(title,title);\n\t\tif(data) {\n\t\t\tvar item = getDataItem(data,operator.operands);\n\t\t\tif(item !== undefined) {\n\t\t\t\tresults.push(JSON.stringify(item));\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\nexports[\"jsonindexes\"] = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = $tw.utils.parseJSONSafe(title,title);\n\t\tif(data) {\n\t\t\tvar items = getDataItemKeysAsStrings(data,operator.operands);\n\t\t\tif(items !== undefined) {\n\t\t\t\tresults.push.apply(results,items);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\nexports[\"jsontype\"] = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = $tw.utils.parseJSONSafe(title,title);\n\t\tif(data) {\n\t\t\tvar item = getDataItemType(data,operator.operands);\n\t\t\tif(item !== undefined) {\n\t\t\t\tresults.push(item);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\nexports[\"jsonset\"] = function(source,operator,options) {\n\tvar suffixes = operator.suffixes || [],\n\t\ttype = suffixes[0] && suffixes[0][0],\n\t\tindexes = operator.operands.slice(0,-1),\n\t\tvalue = operator.operands[operator.operands.length - 1],\n\t\tresults = [];\n\tif(operator.operands.length === 1 && operator.operands[0] === \"\") {\n\t\tvalue = undefined; // Prevents the value from being assigned\n\t}\n\tswitch(type) {\n\t\tcase \"string\":\n\t\t\t// Use value unchanged\n\t\t\tbreak;\n\t\tcase \"boolean\":\n\t\t\tvalue = (value === \"true\" ? true : (value === \"false\" ? false : undefined));\n\t\t\tbreak;\n\t\tcase \"number\":\n\t\t\tvalue = $tw.utils.parseNumber(value);\n\t\t\tbreak;\n\t\tcase \"array\":\n\t\t\tindexes = operator.operands;\n\t\t\tvalue = [];\n\t\t\tbreak;\n\t\tcase \"object\":\n\t\t\tindexes = operator.operands;\n\t\t\tvalue = {};\n\t\t\tbreak;\n\t\tcase \"null\":\n\t\t\tindexes = operator.operands;\n\t\t\tvalue = null;\n\t\t\tbreak;\n\t\tcase \"json\":\n\t\t\tvalue = $tw.utils.parseJSONSafe(value,function() {return undefined;});\n\t\t\tbreak;\n\t\tdefault:\n\t\t\t// Use value unchanged\n\t\t\tbreak;\n\t}\n\tsource(function(tiddler,title) {\n\t\tvar data = $tw.utils.parseJSONSafe(title,title);\n\t\tif(data) {\n\t\t\tdata = setDataItem(data,indexes,value);\n\t\t\tresults.push(JSON.stringify(data));\n\t\t}\n\t});\n\treturn results;\n};\n\n/*\nGiven a JSON data structure and an array of index strings, return an array of the string representation of the values at the end of the index chain, or \"undefined\" if any of the index strings are invalid\n*/\nfunction getDataItemValueAsStrings(data,indexes) {\n\t// Get the item\n\tvar item = getDataItem(data,indexes);\n\t// Return the item as a string list\n\treturn convertDataItemValueToStrings(item);\n}\n\n/*\nGiven a JSON data structure and an array of index strings, return an array of the string representation of the keys of the item at the end of the index chain, or \"undefined\" if any of the index strings are invalid\n*/\nfunction getDataItemKeysAsStrings(data,indexes) {\n\t// Get the item\n\tvar item = getDataItem(data,indexes);\n\t// Return the item keys as a string\n\treturn convertDataItemKeysToStrings(item);\n}\n\n/*\nReturn an array of the string representation of the values of a data item, or \"undefined\" if the item is undefined\n*/\nfunction convertDataItemValueToStrings(item) {\n\t// Return the item as a string\n\tif(item === undefined) {\n\t\treturn undefined;\n\t} else if(item === null) {\n\t\treturn [\"null\"]\n\t} else if(typeof item === \"object\") {\n\t\tvar results = [],i,t;\n\t\tif($tw.utils.isArray(item)) {\n\t\t\t// Return all the items in arrays recursively\n\t\t\tfor(i=0; i<item.length; i++) {\n\t\t\t\tt = convertDataItemValueToStrings(item[i])\n\t\t\t\tif(t !== undefined) {\n\t\t\t\t\tresults.push.apply(results,t);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\t// Return all the values in objects recursively\n\t\t\t$tw.utils.each(Object.keys(item).sort(),function(key) {\n\t\t\t\tt = convertDataItemValueToStrings(item[key]);\n\t\t\t\tif(t !== undefined) {\n\t\t\t\t\tresults.push.apply(results,t);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn results;\n\t}\n\treturn [item.toString()];\n}\n\n/*\nReturn an array of the string representation of the keys of a data item, or \"undefined\" if the item is undefined\n*/\nfunction convertDataItemKeysToStrings(item) {\n\t// Return the item as a string\n\tif(item === undefined) {\n\t\treturn item;\n\t} else if(typeof item === \"object\") {\n\t\tif(item === null) {\n\t\t\treturn [];\n\t\t}\n\t\tvar results = [];\n\t\tif($tw.utils.isArray(item)) {\n\t\t\tfor(var i=0; i<item.length; i++) {\n\t\t\t\tresults.push(i.toString());\n\t\t\t}\n\t\t\treturn results;\n\t\t} else {\n\t\t\t$tw.utils.each(Object.keys(item).sort(),function(key) {\n\t\t\t\tresults.push(key);\n\t\t\t});\n\t\t\treturn results;\n\t\t}\n\t}\n\treturn [];\n}\n\nfunction getDataItemType(data,indexes) {\n\t// Get the item\n\tvar item = getDataItem(data,indexes);\n\t// Return the item type\n\tif(item === undefined) {\n\t\treturn item;\n\t} else if(item === null) {\n\t\treturn \"null\";\n\t} else if($tw.utils.isArray(item)) {\n\t\treturn \"array\";\n\t} else if(typeof item === \"object\") {\n\t\treturn \"object\";\n\t} else {\n\t\treturn typeof item;\n\t}\n}\n\nfunction getItemAtIndex(item,index) {\n\tif($tw.utils.hop(item,index)) {\n\t\treturn item[index];\n\t} else if($tw.utils.isArray(item)) {\n\t\tindex = $tw.utils.parseInt(index);\n\t\tif(index < 0) { index = index + item.length };\n\t\treturn item[index]; // Will be undefined if index was out-of-bounds\n\t} else {\n\t\treturn undefined;\n\t}\n}\n\n/*\nGiven a JSON data structure and an array of index strings, return the value at the end of the index chain, or \"undefined\" if any of the index strings are invalid\n*/\nfunction getDataItem(data,indexes) {\n\tif(indexes.length === 0 || (indexes.length === 1 && indexes[0] === \"\")) {\n\t\treturn data;\n\t}\n\t// Get the item\n\tvar item = data;\n\tfor(var i=0; i<indexes.length; i++) {\n\t\tif(item !== undefined) {\n\t\t\tif(item !== null && [\"number\",\"string\",\"boolean\"].indexOf(typeof item) === -1) {\n\t\t\t\titem = getItemAtIndex(item,indexes[i]);\n\t\t\t} else {\n\t\t\t\titem = undefined;\n\t\t\t}\n\t\t}\n\t}\n\treturn item;\n}\n\n/*\nGiven a JSON data structure, an array of index strings and a value, return the data structure with the value added at the end of the index chain. If any of the index strings are invalid then the JSON data structure is returned unmodified. If the root item is targetted then a different data object will be returned\n*/\nfunction setDataItem(data,indexes,value) {\n\t// Ignore attempts to assign undefined\n\tif(value === undefined) {\n\t\treturn data;\n\t}\n\t// Check for the root item\n\tif(indexes.length === 0 || (indexes.length === 1 && indexes[0] === \"\")) {\n\t\treturn value;\n\t}\n\t// Traverse the JSON data structure using the index chain\n\tvar current = data;\n\tfor(var i = 0; i < indexes.length - 1; i++) {\n\t\tcurrent = getItemAtIndex(current,indexes[i]);\n\t\tif(current === undefined) {\n\t\t\t// Return the original JSON data structure if any of the index strings are invalid\n\t\t\treturn data;\n\t\t}\n\t}\n\t// Add the value to the end of the index chain\n\tvar lastIndex = indexes[indexes.length - 1];\n\tif($tw.utils.isArray(current)) {\n\t\tlastIndex = $tw.utils.parseInt(lastIndex);\n\t\tif(lastIndex < 0) { lastIndex = lastIndex + current.length };\n\t}\n\t// Only set indexes on objects and arrays\n\tif(typeof current === \"object\") {\n\t\tcurrent[lastIndex] = value;\n\t}\n\treturn data;\n}\n\n})();\n\t","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/limit.js":{"title":"$:/core/modules/filters/limit.js","text":"/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/links.js":{"title":"$:/core/modules/filters/links.js","text":"/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = new $tw.utils.LinkedList();\n\tsource(function(tiddler,title) {\n\t\tresults.pushTop(options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results.makeTiddlerIterator(options.wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/list.js":{"title":"$:/core/modules/filters/list.js","text":"/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/listed.js":{"title":"$:/core/modules/filters/listed.js","text":"/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/listops.js":{"title":"$:/core/modules/filters/listops.js","text":"/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.order = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operand.toLowerCase() === \"reverse\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.unshift(title);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tif(count === 0) return results;\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = count === 0 ? results.length : -count;\n\treturn results.slice(0,index);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n/*\nThe zero based nth member of the list\n*/\nexports.zth = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,0),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count,count + 1);\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/lookup.js":{"title":"$:/core/modules/filters/lookup.js","text":"/*\\\ntitle: $:/core/modules/filters/lookup.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that looks up values via a title prefix\n\n[lookup:<defaultvalue>:<field OR index>[<prefix>],[<field-name OR index-name>]]\n\nPrepends the prefix to the selected items and returns the specified \nfield or index value. If the 2nd suffix does not exist, it defaults to field.\nIf the second operand is missing it defaults to \"text\" for fields, and \"0\" for indexes\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.lookup = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = operator.suffixes || [],\n\t\tdefaultSuffix = suffixes[0] ? (suffixes[0][0] || \"\") : \"\",\n\t\tindexSuffix = (suffixes[1] && suffixes[1][0] === \"index\") ? true : false,\n\t\ttarget;\n\tif(operator.operands.length == 2) {\n\t\ttarget = operator.operands[1]\n\t} else {\n\t\ttarget = indexSuffix ? \"0\": \"text\";\n\t}\n\tif(indexSuffix) {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar data = options.wiki.extractTiddlerDataItem(operator.operands[0]+title,target,defaultSuffix);\n\t\t\tresults.push(data);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar value = defaultSuffix;\n\t\t\tvar targetTiddler = options.wiki.getTiddler(operator.operands[0]+title);\n\t\t\tif(targetTiddler && targetTiddler.getFieldString(target)) {\n\t\t\t\tvalue = targetTiddler.getFieldString(target);\n\t\t\t}\n\t\t\tresults.push(value);\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/match.js":{"title":"$:/core/modules/filters/match.js","text":"/*\\\ntitle: $:/core/modules/filters/match.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title matches a string\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.match = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() !== (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() === (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/math.js":{"title":"$:/core/modules/filters/math.js","text":"/*\\\ntitle: $:/core/modules/filters/math.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for math. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\nNote that strings are converted to numbers automatically. Trailing non-digits are ignored.\n\n* \"\" converts to 0\n* \"12kk\" converts to 12\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.negate = makeNumericBinaryOperator(\n\tfunction(a) {return -a}\n);\n\nexports.abs = makeNumericBinaryOperator(\n\tfunction(a) {return Math.abs(a)}\n);\n\nexports.ceil = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(a)}\n);\n\nexports.floor = makeNumericBinaryOperator(\n\tfunction(a) {return Math.floor(a)}\n);\n\nexports.round = makeNumericBinaryOperator(\n\tfunction(a) {return Math.round(a)}\n);\n\nexports.trunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.trunc(a)}\n);\n\nexports.untrunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(Math.abs(a)) * Math.sign(a)}\n);\n\nexports.sign = makeNumericBinaryOperator(\n\tfunction(a) {return Math.sign(a)}\n);\n\nexports.add = makeNumericBinaryOperator(\n\tfunction(a,b) {return a + b;}\n);\n\nexports.subtract = makeNumericBinaryOperator(\n\tfunction(a,b) {return a - b;}\n);\n\nexports.multiply = makeNumericBinaryOperator(\n\tfunction(a,b) {return a * b;}\n);\n\nexports.divide = makeNumericBinaryOperator(\n\tfunction(a,b) {return a / b;}\n);\n\nexports.remainder = makeNumericBinaryOperator(\n\tfunction(a,b) {return a % b;}\n);\n\nexports.max = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.max(a,b);}\n);\n\nexports.min = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.min(a,b);}\n);\n\nexports.fixed = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toFixed.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.precision = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toPrecision.call(a,Math.min(Math.max(b,1),100));}\n);\n\nexports.exponential = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toExponential.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.power = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.pow(a,b);}\n);\n\nexports.log = makeNumericBinaryOperator(\n\tfunction(a,b) {\n\t\tif(b) {\n\t\t\treturn Math.log(a)/Math.log(b);\n\t\t} else {\n\t\t\treturn Math.log(a);\n\t\t}\n\t}\n);\n\nexports.sum = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0 // Initial value\n);\n\nexports.product = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator * value},\n\t1 // Initial value\n);\n\nexports.maxall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.max(accumulator,value)},\n\t-Infinity // Initial value\n);\n\nexports.minall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.min(accumulator,value)},\n\tInfinity // Initial value\n);\n\nexports.median = makeNumericArrayOperator(\n\tfunction(values) {\n\t\tvar len = values.length, median;\n\t\tvalues.sort();\n\t\tif(len % 2) { \n\t\t\t// Odd, return the middle number\n\t\t\tmedian = values[(len - 1) / 2];\n\t\t} else {\n\t\t\t// Even, return average of two middle numbers\n\t\t\tmedian = (values[len / 2 - 1] + values[len / 2]) / 2;\n\t\t}\n\t\treturn [median];\n\t}\n);\n\nexports.average = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0, // Initial value\n\tfunction(finalValue,numberOfValues) {\n\t\treturn finalValue/numberOfValues;\n\t}\n);\n\nexports.variance = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0,\n\tfunction(finalValue,numberOfValues,originalValues) {\n\t\treturn getVarianceFromArray(originalValues,finalValue/numberOfValues);\n\t}\n);\n\nexports[\"standard-deviation\"] = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0,\n\tfunction(finalValue,numberOfValues,originalValues) {\n\t\tvar variance = getVarianceFromArray(originalValues,finalValue/numberOfValues);\n\t\treturn Math.sqrt(variance);\n\t}\n);\n\n//trigonometry\nexports.cos = makeNumericBinaryOperator(\n\tfunction(a) {return Math.cos(a)}\n);\n\nexports.sin = makeNumericBinaryOperator(\n\tfunction(a) {return Math.sin(a)}\n);\n\nexports.tan = makeNumericBinaryOperator(\n\tfunction(a) {return Math.tan(a)}\n);\n\nexports.acos = makeNumericBinaryOperator(\n\tfunction(a) {return Math.acos(a)}\n);\n\nexports.asin = makeNumericBinaryOperator(\n\tfunction(a) {return Math.asin(a)}\n);\n\nexports.atan = makeNumericBinaryOperator(\n\tfunction(a) {return Math.atan(a)}\n);\n\nexports.atan2 = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.atan2(a,b)}\n);\n\n//Calculate the variance of a population of numbers in an array given its mean\nfunction getVarianceFromArray(values,mean) {\n\tvar deviationTotal = values.reduce(function(accumulator,value) {\n\t\treturn accumulator + Math.pow(value - mean, 2);\n\t},0);\n\treturn deviationTotal/values.length;\n};\n\nfunction makeNumericBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [],\n\t\t\tnumOperand = $tw.utils.parseNumber(operator.operand);\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push($tw.utils.stringifyNumber(fnCalc($tw.utils.parseNumber(title),numOperand)));\n\t\t});\n\t\treturn result;\n\t};\n};\n\nfunction makeNumericReducingOperator(fnCalc,initialValue,fnFinal) {\n\tinitialValue = initialValue || 0;\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push($tw.utils.parseNumber(title));\n\t\t});\n\t\tvar value = result.reduce(function(accumulator,currentValue) {\n\t\t\t\treturn fnCalc(accumulator,currentValue);\n\t\t\t},initialValue);\n\t\tif(fnFinal) {\n\t\t\tvalue = fnFinal(value,result.length,result);\n\t\t}\n\t\treturn [$tw.utils.stringifyNumber(value)];\n\t};\n};\n\nfunction makeNumericArrayOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push($tw.utils.parseNumber(title));\n\t\t});\n\t\tresults = fnCalc(results);\n\t\t$tw.utils.each(results,function(value,index) {\n\t\t\tresults[index] = $tw.utils.stringifyNumber(value);\n\t\t});\n\t\treturn results;\n\t};\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/minlength.js":{"title":"$:/core/modules/filters/minlength.js","text":"/*\\\ntitle: $:/core/modules/filters/minlength.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for filtering out titles that don't meet the minimum length in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.minlength = function(source,operator,options) {\n\tvar results = [],\n\t\tminLength = parseInt(operator.operand || \"\",10) || 0;\n\tsource(function(tiddler,title) {\n\t\tif(title.length >= minLength) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/moduleproperty.js":{"title":"$:/core/modules/filters/moduleproperty.js","text":"/*\\\ntitle: $:/core/modules/filters/moduleproperty.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter [[module-name]moduleproperty[name]] retrieve a module property\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduleproperty = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = require(title)[operator.operand || \"\"];\n\t\tif(value !== undefined) {\n\t\t\tresults.push(value);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/modules.js":{"title":"$:/core/modules/filters/modules.js","text":"/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operands.length >= 2) {\n\t\t// Return the modules that have the module property specified in the first operand with the value in the second operand\n\t\tsource(function(tiddler,title) {\n\t\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\t\tif(require(moduleName)[operator.operands[0]] === operator.operands[1]) {\n\t\t\t\t\tresults.push(moduleName);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\t// Return all the module names without filtering\n\t\tsource(function(tiddler,title) {\n\t\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\t\tresults.push(moduleName);\n\t\t\t});\n\t\t});\n\t}\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/moduletypes.js":{"title":"$:/core/modules/filters/moduletypes.js","text":"/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/next.js":{"title":"$:/core/modules/filters/next.js","text":"/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/plugintiddlers.js":{"title":"$:/core/modules/filters/plugintiddlers.js","text":"/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/prefix.js":{"title":"$:/core/modules/filters/prefix.js","text":"/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tvar operand = operator.operand.toLowerCase();\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase().substr(0,operand.length) !== operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase().substr(0,operand.length) === operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/previous.js":{"title":"$:/core/modules/filters/previous.js","text":"/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/range.js":{"title":"$:/core/modules/filters/range.js","text":"/*\\\ntitle: $:/core/modules/filters/range.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for generating a numeric range.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.range = function(source,operator,options) {\n\tvar results = [];\n\t// For backwards compatibility, if there is only one operand, try to split it using one of the delimiters\n\tvar parts = operator.operands || [];\n\tif(parts.length === 1) {\n\t\tparts = operator.operand.split(/[,:;]/g);\n\t}\n\t// Process the parts\n\tvar beg, end, inc, i, fixed = 0;\n\tfor (i=0; i<parts.length; i++) {\n\t\t// Validate real number\n\t\tif(!/^\\s*[+-]?((\\d+(\\.\\d*)?)|(\\.\\d+))\\s*$/.test(parts[i])) {\n\t\t\treturn [\"range: bad number \\\"\" + parts[i] + \"\\\"\"];\n\t\t}\n\t\t// Count digits; the most precise number determines decimal places in output.\n\t\tvar frac = /\\.\\d+/.exec(parts[i]);\n\t\tif(frac) {\n\t\t\tfixed = Math.max(fixed,frac[0].length-1);\n\t\t}\n\t\tparts[i] = parseFloat(parts[i]);\n\t}\n\tswitch(parts.length) {\n\t\tcase 1:\n\t\t\tend = parts[0];\n\t\t\tif (end >= 1) {\n\t\t\t\tbeg = 1;\n\t\t\t}\n\t\t\telse if (end <= -1) {\n\t\t\t\tbeg = -1;\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn [];\n\t\t\t}\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = Math.abs(parts[2]);\n\t\t\tbreak;\n\t}\n\tif(inc === 0) {\n\t\treturn [\"range: increment 0 causes infinite loop\"];\n\t}\n\t// May need to count backwards\n\tvar direction = ((end < beg) ? -1 : 1);\n\tinc *= direction;\n\t// Estimate number of resulting elements\n\tif((end - beg) / inc > 10000) {\n\t\treturn [\"range: too many steps (over 10K)\"];\n\t}\n\t// Avoid rounding error on last step\n\tend += direction * 0.5 * Math.pow(0.1,fixed);\n\tvar safety = 10010;\n\t// Enumerate the range\n\tif (end<beg) {\n\t\tfor(i=beg; i>end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tfor(i=beg; i<end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\tif(safety<0) {\n\t\treturn [\"range: unexpectedly large output\"];\n\t}\n\t// Reverse?\n\tif(operator.prefix === \"!\") {\n\t\tresults.reverse();\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/reduce.js":{"title":"$:/core/modules/filters/reduce.js","text":"/*\\\ntitle: $:/core/modules/filters/reduce.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator evaluates a subfilter for each item, making the running total available in the variable `accumulator`, and the current index available in the variable `index`\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.reduce = function(source,operator,options) {\n\t// Accumulate the list\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Run the filter over each item\n\tvar filterFn = options.wiki.compileFilter(operator.operand),\n\t\taccumulator = operator.operands[1] || \"\";\n\tfor(var index=0; index<results.length; index++) {\n\t\tvar title = results[index],\n\t\t\tlist = filterFn.call(options.wiki,options.wiki.makeTiddlerIterator([title]),options.widget.makeFakeWidgetWithVariables({\n\t\t\t\t\"currentTiddler\": \"\" + title,\n\t\t\t\t\"..currentTiddler\": options.widget.getVariable(\"currentTiddler\"),\n\t\t\t\t\"accumulator\": \"\" + accumulator,\n\t\t\t\t\"index\": \"\" + index,\n\t\t\t\t\"revIndex\": \"\" + (results.length - 1 - index),\n\t\t\t\t\"length\": \"\" + results.length\n\t\t\t}));\n\t\tif(list.length > 0) {\n\t\t\taccumulator = \"\" +  list[0];\n\t\t}\n\t}\n\tif(results.length > 0) {\n\t\treturn [accumulator];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/regexp.js":{"title":"$:/core/modules/filters/regexp.js","text":"/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = operator.suffix || \"title\",\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/removeprefix.js":{"title":"$:/core/modules/filters/removeprefix.js","text":"/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tvar operand = operator.operand.toLowerCase();\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.toLowerCase().substr(0,operand.length) === operand) {\n\t\t\t\tresults.push(title.substr(operand.length));\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/removesuffix.js":{"title":"$:/core/modules/filters/removesuffix.js","text":"/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif (!operator.operand) {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else if(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tvar operand = operator.operand.toLowerCase();\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title && title.toLowerCase().substr(-operand.length) === operand) {\n\t\t\t\tresults.push(title.substr(0,title.length - operand.length));\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title && title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/sameday.js":{"title":"$:/core/modules/filters/sameday.js","text":"/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(tiddler.getFieldDay(fieldName) === targetDate) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/search.js":{"title":"$:/core/modules/filters/search.js","text":"/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffixes) {\n\t\tvar hasFlag = function(flag) {\n\t\t\t\treturn (operator.suffixes[1] || []).indexOf(flag) !== -1;\n\t\t\t},\n\t\t\texcludeFields = false,\n\t\t\tfieldList = operator.suffixes[0] || [],\n\t\t\tfirstField = fieldList[0] || \"\", \n\t\t\tfirstChar = firstField.charAt(0),\n\t\t\tfields;\n\t\tif(firstChar === \"-\") {\n\t\t\tfields = [firstField.slice(1)].concat(fieldList.slice(1));\n\t\t\texcludeFields = true;\n\t\t} else if(fieldList[0] === \"*\"){\n\t\t\tfields = [];\n\t\t\texcludeFields = true;\n\t\t} else {\n\t\t\tfields = fieldList.slice(0);\n\t\t}\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: fields,\n\t\t\texcludeField: excludeFields,\n\t\t\tsome: hasFlag(\"some\"),\n\t\t\tcaseSensitive: hasFlag(\"casesensitive\"),\n\t\t\tliteral: hasFlag(\"literal\"),\n\t\t\twhitespace: hasFlag(\"whitespace\"),\n\t\t\tanchored: hasFlag(\"anchored\"),\n\t\t\tregexp: hasFlag(\"regexp\"),\n\t\t\twords: hasFlag(\"words\")\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/shadowsource.js":{"title":"$:/core/modules/filters/shadowsource.js","text":"/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/slugify.js":{"title":"$:/core/modules/filters/slugify.js","text":"/*\\\ntitle: $:/core/modules/filters/slugify.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for slugifying a tiddler title\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.slugify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.slugify(title));\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/sort.js":{"title":"$:/core/modules/filters/sort.js","text":"/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortan = function(source, operator, options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results, operator.operand || \"title\", operator.prefix === \"!\",false,false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/sortsub.js":{"title":"$:/core/modules/filters/sortsub.js","text":"/*\\\ntitle: $:/core/modules/filters/sortsub.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting by a subfilter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sortsub = function(source,operator,options) {\n\t// Compile the subfilter\n\tvar filterFn = options.wiki.compileFilter(operator.operand);\n\t// Collect the input titles and the corresponding sort keys\n\tvar inputTitles = [],\n\t\tsortKeys = [];\n\tsource(function(tiddler,title) {\n\t\tinputTitles.push(title);\n\t\tvar r = filterFn.call(options.wiki,function(iterator) {\n\t\t\titerator(options.wiki.getTiddler(title),title);\n\t\t},options.widget.makeFakeWidgetWithVariables({\n\t\t\t\"currentTiddler\": \"\" + title,\n\t\t\t\"..currentTiddler\": options.widget.getVariable(\"currentTiddler\")\n\t\t}));\n\t\tsortKeys.push(r[0] || \"\");\n\t});\n\t// Rather than sorting the titles array, we'll sort the indexes so that we can consult both arrays\n\tvar indexes = new Array(inputTitles.length);\n\tfor(var t=0; t<inputTitles.length; t++) {\n\t\tindexes[t] = t;\n\t}\n\t// Sort the indexes\n\tvar compareFn = $tw.utils.makeCompareFunction(operator.suffix,{defaultType: \"string\",invert: operator.prefix === \"!\"});\n\tindexes = indexes.sort(function(a,b) {\n\t\treturn compareFn(sortKeys[a],sortKeys[b]);\n\t});\n\t// Make the results array in order\n\tvar results = [];\n\t$tw.utils.each(indexes,function(index) {\n\t\tresults.push(inputTitles[index]);\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/splitbefore.js":{"title":"$:/core/modules/filters/splitbefore.js","text":"/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/storyviews.js":{"title":"$:/core/modules/filters/storyviews.js","text":"/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/strings.js":{"title":"$:/core/modules/filters/strings.js","text":"/*\\\ntitle: $:/core/modules/filters/strings.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for strings. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.length = makeStringBinaryOperator(\n\tfunction(a) {return [\"\" + (\"\" + a).length];}\n);\n\nexports.uppercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toUpperCase()];}\n);\n\nexports.lowercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toLowerCase()];}\n);\n\nexports.sentencecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toSentenceCase(a)];}\n);\n\nexports.titlecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toTitleCase(a)];}\n);\n\nexports.trim = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\toperand = (operator.operand || \"\"),\n\t\tfnCalc;\n\tif(suffix === \"prefix\") {\n\t\tfnCalc = function(a,b) {return [$tw.utils.trimPrefix(a,b)];}\n\t} else if(suffix === \"suffix\") {\n\t\tfnCalc = function(a,b) {return [$tw.utils.trimSuffix(a,b)];}\n\t} else {\n\t\tif(operand === \"\") {\n\t\t\tfnCalc = function(a) {return [$tw.utils.trim(a)];}\n\t\t} else {\n\t\t\tfnCalc = function(a,b) {return [$tw.utils.trimSuffix($tw.utils.trimPrefix(a,b),b)];}\n\t\t}\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,fnCalc(title,operand));\n\t});\n\treturn result;\n};\n\nexports.split = makeStringBinaryOperator(\n\tfunction(a,b) {return (\"\" + a).split(b);}\n);\n\nexports[\"enlist-input\"] = makeStringBinaryOperator(\n\tfunction(a,o,s) {return $tw.utils.parseStringArray(\"\" + a,(s === \"raw\"));}\n);\n\nexports.join = makeStringReducingOperator(\n\tfunction(accumulator,value,operand) {\n\t\tif(accumulator === null) {\n\t\t\treturn value;\n\t\t} else {\n\t\t\treturn accumulator + operand + value;\n\t\t}\n\t},null\n);\n\nvar dmp = require(\"$:/core/modules/utils/diff-match-patch/diff_match_patch.js\");\n\nexports.levenshtein = makeStringBinaryOperator(\n\tfunction(a,b) {\n\t\tvar dmpObject = new dmp.diff_match_patch(),\n\t\t\tdiffs = dmpObject.diff_main(a,b);\n\t\treturn [dmpObject.diff_levenshtein(diffs) + \"\"];\n\t}\n);\n\n// these two functions are adapted from https://github.com/google/diff-match-patch/wiki/Line-or-Word-Diffs\nfunction diffLineWordMode(text1,text2,mode) {\n\tvar dmpObject = new dmp.diff_match_patch();\n\tvar a = diffPartsToChars(text1,text2,mode);\n\tvar lineText1 = a.chars1;\n\tvar lineText2 = a.chars2;\n\tvar lineArray = a.lineArray;\n\tvar diffs = dmpObject.diff_main(lineText1,lineText2,false);\n\tdmpObject.diff_charsToLines_(diffs,lineArray);\n\treturn diffs;\n}\n\nfunction diffPartsToChars(text1,text2,mode) {\n\tvar lineArray = [];\n\tvar lineHash = {};\n\tlineArray[0] = '';\n\n    function diff_linesToPartsMunge_(text,mode) {\n        var chars = '';\n        var lineStart = 0;\n        var lineEnd = -1;\n        var lineArrayLength = lineArray.length,\n            regexpResult;\n        var searchRegexp = /\\W+/g;\n        while(lineEnd < text.length - 1) {\n\t        if(mode === \"words\") {\n                regexpResult = searchRegexp.exec(text);\n                lineEnd = searchRegexp.lastIndex;\n                if(regexpResult === null) {\n                lineEnd = text.length;\n                }\n                lineEnd = --lineEnd;\n            } else {\n                lineEnd = text.indexOf('\\n', lineStart);\n                if(lineEnd == -1) {\n                    lineEnd = text.length - 1;\n                }\n            }\n            var line = text.substring(lineStart, lineEnd + 1);\n\n            if(lineHash.hasOwnProperty ? lineHash.hasOwnProperty(line) : (lineHash[line] !== undefined)) {\n\t\t\t\tchars += String.fromCharCode(lineHash[line]);\n            } else {\n                if (lineArrayLength == maxLines) {\n                  line = text.substring(lineStart);\n                  lineEnd = text.length;\n                }\n                chars += String.fromCharCode(lineArrayLength);\n                lineHash[line] = lineArrayLength;\n                lineArray[lineArrayLength++] = line;\n            }\n            lineStart = lineEnd + 1;\n        }\n        return chars;\n    }\n    var maxLines = 40000;\n    var chars1 = diff_linesToPartsMunge_(text1,mode);\n    maxLines = 65535;\n    var chars2 = diff_linesToPartsMunge_(text2,mode);\n    return {chars1: chars1, chars2: chars2, lineArray: lineArray};\n};\n\nexports.makepatches = function(source,operator,options) {\n\tvar dmpObject = new dmp.diff_match_patch(),\n\t\tsuffix = operator.suffix || \"\",\n\t\tresult = [];\n\t\t\n\t\tsource(function(tiddler,title) {\n\t\t\tvar diffs, patches;\n\t\t\tif(suffix === \"lines\" || suffix === \"words\") {\n\t\t\t\tdiffs = diffLineWordMode(title,operator.operand,suffix);\n\t\t\t\tpatches = dmpObject.patch_make(title,diffs);\n\t\t\t} else {\n\t\t\t\tpatches = dmpObject.patch_make(title,operator.operand);\n\t\t\t}\n\t\t\tArray.prototype.push.apply(result,[dmpObject.patch_toText(patches)]);\n\t\t});\n\n\treturn result;\n};\n\nexports.applypatches = makeStringBinaryOperator(\n\tfunction(a,b) {\n\t\tvar dmpObject = new dmp.diff_match_patch(),\n\t\t\tpatches;\n\t\ttry {\n\t\t\tpatches = dmpObject.patch_fromText(b);\n\t\t} catch(e) {\n\t\t}\n\t\tif(patches) {\n\t\t\treturn [dmpObject.patch_apply(patches,a)[0]];\n\t\t} else {\n\t\t\treturn [a];\n\t\t}\n\t}\n);\n\nfunction makeStringBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tArray.prototype.push.apply(result,fnCalc(title,operator.operand || \"\",operator.suffix || \"\"));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeStringReducingOperator(fnCalc,initialValue) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\tif(result.length === 0) {\n\t\t\treturn [];\n\t\t}\n\t\treturn [result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,currentValue,operator.operand || \"\");\n\t\t},initialValue) || \"\"];\n\t};\n}\n\nexports.splitregexp = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\tflags = (suffix.indexOf(\"m\") !== -1 ? \"m\" : \"\") + (suffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tregExp;\n\ttry {\n\t\tregExp = new RegExp(operator.operand || \"\",flags);\n\t} catch(ex) {\n\t\treturn [\"RegExp error: \" + ex];\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,title.split(regExp));\n\t});\n\treturn result;\n};\n\nexports[\"search-replace\"] = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = operator.suffixes || [],\n\t\tflagSuffix = (suffixes[0] ? (suffixes[0][0] || \"\") : \"\"),\n\t\tflags = (flagSuffix.indexOf(\"g\") !== -1 ? \"g\" : \"\") + (flagSuffix.indexOf(\"i\") !== -1 ? \"i\" : \"\") + (flagSuffix.indexOf(\"m\") !== -1 ? \"m\" : \"\"),\n\t\tisRegExp = (suffixes[1] && suffixes[1][0] === \"regexp\") ? true : false,\n\t\t//Escape regexp characters if the operand is not a regular expression\n\t\tsearchTerm = isRegExp ? operator.operand : $tw.utils.escapeRegExp(operator.operand),\n\t\t//Escape $ character in replacement string if not in regular expression mode\n\t\treplacement = isRegExp ? operator.operands[1] : (operator.operands[1]||\"\").replace(/\\$/g,\"$$$$\"),\n\t\tregExp;\n\ttry {\n\t\tregExp = new RegExp(searchTerm,flags);\n\t} catch(ex) {\n\t\treturn [\"RegExp error: \" + ex];\n\t}\n\n\tsource(function(tiddler,title) {\n\t\tif(title && (operator.operands.length > 1)) {\n\t\t\tresults.push(\n\t\t\t\ttitle.replace(regExp,replacement)\n\t\t\t);\n\t\t\tregExp.lastIndex = 0;\n\t\t} else {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nexports.pad = function(source,operator,options) {\n\tvar results = [],\n\t\ttargetLength = operator.operand ? parseInt(operator.operand) : 0,\n\t\tfill = operator.operands[1] || \"0\";\n\n\tsource(function(tiddler,title) {\n\t\tif(title && title.length) {\n\t\t\tif(title.length >= targetLength) {\n\t\t\t\tresults.push(title);\n\t\t\t} else {\n\t\t\t\tvar padString = \"\",\n\t\t\t\t\tpadStringLength = targetLength - title.length;\n\t\t\t\twhile (padStringLength > padString.length) {\n\t\t\t\t\tpadString += fill;\n\t\t\t\t}\n\t\t\t\t//make sure we do not exceed the specified length\n\t\t\t\tpadString = padString.slice(0,padStringLength);\n\t\t\t\tif(operator.suffix && (operator.suffix === \"suffix\")) {\n\t\t\t\t\ttitle = title + padString;\n\t\t\t\t} else {\n\t\t\t\t\ttitle = padString + title;\n\t\t\t\t}\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n}\n\nexports.charcode = function(source,operator,options) {\n\tvar chars = [];\n\t$tw.utils.each(operator.operands,function(operand) {\n\t\tif(operand !== \"\") {\n\t\t\tchars.push(String.fromCharCode($tw.utils.parseInt(operand)));\n\t\t}\n\t});\n\treturn [chars.join(\"\")];\n};\n\n})();","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/subfilter.js":{"title":"$:/core/modules/filters/subfilter.js","text":"/*\\\ntitle: $:/core/modules/filters/subfilter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand evaluated as a filter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subfilter = function(source,operator,options) {\n\tvar list = options.wiki.filterTiddlers(operator.operand,options.widget,source);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/substitute.js":{"title":"$:/core/modules/filters/substitute.js","text":"/*\\\ntitle: $:/core/modules/filters/substitute.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for substituting variables and embedded filter expressions with their corresponding values\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.substitute = function(source,operator,options) {\n\tvar results = [],\n\t\toperands = [];\n\t$tw.utils.each(operator.operands,function(operand,index){\n\t\toperands.push({\n\t\t\tname: (index + 1).toString(),\n\t\t\tvalue: operand\n\t\t});\n\t});\n\tsource(function(tiddler,title) {\n\t\tif(title) {\n\t\t\tresults.push(options.wiki.getSubstitutedText(title,options.widget,{substitutions:operands}));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n ","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/subtiddlerfields.js":{"title":"$:/core/modules/filters/subtiddlerfields.js","text":"/*\\\ntitle: $:/core/modules/filters/subtiddlerfields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected subtiddlers of the plugin named in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subtiddlerfields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar subtiddler = options.wiki.getSubTiddler(operator.operand,title);\n\t\tif(subtiddler) {\n\t\t\tfor(var fieldName in subtiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/suffix.js":{"title":"$:/core/modules/filters/suffix.js","text":"/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif (!operator.operand) {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else if(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tvar operand = operator.operand.toLowerCase();\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase().substr(-operand.length) !== operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase().substr(-operand.length) === operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/tag.js":{"title":"$:/core/modules/filters/tag.js","text":"/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [],indexedResults;\n\tif((operator.suffix || \"\").toLowerCase() === \"strict\" && !operator.operand) {\n\t\t// New semantics:\n\t\t// Always return copy of input if operator.operand is missing\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else {\n\t\t// Old semantics:\n\t\tvar tiddlers;\n\t\tif(operator.prefix === \"!\") {\n\t\t\t// Returns a copy of the input if operator.operand is missing\n\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddlers.indexOf(title) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// Returns empty results if operator.operand is missing\n\t\t\tif(source.byTag) {\n\t\t\t\tindexedResults = source.byTag(operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\t\tsource(function(tiddler,title) {\n\t\t\t\t\tif(tiddlers.indexOf(title) !== -1) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/tagging.js":{"title":"$:/core/modules/filters/tagging.js","text":"/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/tags.js":{"title":"$:/core/modules/filters/tags.js","text":"/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/then.js":{"title":"$:/core/modules/filters/then.js","text":"/*\\\ntitle: $:/core/modules/filters/then.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing any titles with a constant\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.then = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/title.js":{"title":"$:/core/modules/filters/title.js","text":"/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/unknown.js":{"title":"$:/core/modules/filters/unknown.js","text":"/*\\\ntitle: $:/core/modules/filters/unknown.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for handling unknown filter operators.\n\nNot intended to be used directly by end users, hence the square brackets around the name.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fieldFilterOperatorFn = require(\"$:/core/modules/filters/field.js\").field;\n\n/*\nExport our filter function\n*/\nexports[\"[unknown]\"] = function(source,operator,options) {\n\t// Check for a user defined filter operator\n\tif(operator.operator.indexOf(\".\") !== -1) {\n\t\tvar params = [];\n\t\t$tw.utils.each(operator.operands,function(param) {\n\t\t\tparams.push({value: param});\n\t\t});\t\n\t\tvar variableInfo = options.widget && options.widget.getVariableInfo && options.widget.getVariableInfo(operator.operator,{params: params, source: source});\n\t\tif(variableInfo && variableInfo.srcVariable) {\n\t\t\tvar list = variableInfo.resultList ? variableInfo.resultList : [variableInfo.text];\n\t\t\tif(operator.prefix === \"!\") {\n\t\t\t\tvar results = [];\n\t\t\t\tsource(function(tiddler,title) {\n\t\t\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\treturn list;\n\t\t\t}\n\t\t}\n\t}\n\t// Otherwise, use the \"field\" operator\n\treturn fieldFilterOperatorFn(source,operator,options);\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/untagged.js":{"title":"$:/core/modules/filters/untagged.js","text":"/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [],\n\t\texpected = (operator.prefix === \"!\");\n\tsource(function(tiddler,title) {\n\t\tif(((tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) === expected) || (!tiddler && !expected)) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/variables.js":{"title":"$:/core/modules/filters/variables.js","text":"/*\\\ntitle: $:/core/modules/filters/variables.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the active variables\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variables = function(source,operator,options) {\n\tvar names = [],\n\t\twidget = options.widget;\n\twhile(widget && !widget.hasOwnProperty(\"variables\")) {\n\t\twidget = widget.parentWidget;\n\t}\n\tif(widget && widget.variables) {\n\t\tfor(var variable in widget.variables) {\n\t\t\tnames.push(variable);\n\t\t}\n\t}\n\treturn names.sort();\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/wikiparserrules.js":{"title":"$:/core/modules/filters/wikiparserrules.js","text":"/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [],\n\t\toperand = operator.operand;\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(!operand || exp.types[operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters/x-listops.js":{"title":"$:/core/modules/filters/x-listops.js","text":"/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n\t/*jslint node: true, browser: true */\n\t/*global $tw: false */\n\t\"use strict\";\n\n\t/*\n\tFetch titles from the current list\n\t*/\n\tvar prepare_results = function (source) {\n\tvar results = [];\n\t\tsource(function (tiddler, title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list before the item named in the operand\n\t*/\n\texports.putbefore = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -1) :\n\t\t\tresults.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list after the item named in the operand\n\t*/\n\texports.putafter = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -1) :\n\t\t\tresults.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n\t};\n\n\t/*\n\tReplaces the item named in the operand with a number of items from the tail of the current list\n\t*/\n\texports.replace = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -count) :\n\t\t\tresults.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list to the head of the list\n\t*/\n\texports.putfirst = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn results.slice(-count).concat(results.slice(0, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the head of the current list to the tail of the list\n\t*/\n\texports.putlast = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn results.slice(count).concat(results.slice(0, count));\n\t};\n\n\t/*\n\tMoves the item named in the operand a number of places forward or backward in the list\n\t*/\n\texports.move = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1),\n\t\t\tmarker = results.splice(index, 1),\n\t\t\toffset =  (index + count) > 0 ? index + count : 0;\n\t\treturn results.slice(0, offset).concat(marker).concat(results.slice(offset));\n\t};\n\n\t/*\n\tReturns the items from the current list that are after the item named in the operand\n\t*/\n\texports.allafter = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand);\n\t\treturn (index === -1) ? [] :\n\t\t\t(operator.suffix) ? results.slice(index) :\n\t\t\tresults.slice(index + 1);\n\t};\n\n\t/*\n\tReturns the items from the current list that are before the item named in the operand\n\t*/\n\texports.allbefore = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand);\n\t\treturn (index === -1) ? [] :\n\t\t\t(operator.suffix) ? results.slice(0, index + 1) :\n\t\t\tresults.slice(0, index);\n\t};\n\n\t/*\n\tAppends the items listed in the operand array to the tail of the current list\n\t*/\n\texports.append = function (source, operator) {\n\t\tvar append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = parseInt(operator.suffix) || append.length;\n\t\treturn (append.length === 0) ? results :\n\t\t\t(operator.prefix) ? results.concat(append.slice(-count)) :\n\t\t\tresults.concat(append.slice(0, count));\n\t};\n\n\t/*\n\tPrepends the items listed in the operand array to the head of the current list\n\t*/\n\texports.prepend = function (source, operator) {\n\t\tvar prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,prepend.length);\n\t\treturn (prepend.length === 0) ? results :\n\t\t\t(operator.prefix) ? prepend.slice(-count).concat(results) :\n\t\t\tprepend.slice(0, count).concat(results);\n\t};\n\n\t/*\n\tReturns all items from the current list except the items listed in the operand array\n\t*/\n\texports.remove = function (source, operator) {\n\t\tvar array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = parseInt(operator.suffix) || array.length,\n\t\t\tp,\n\t\t\tlen,\n\t\t\tindex;\n\t\tlen = array.length - 1;\n\t\tfor (p = 0; p < count; ++p) {\n\t\t\tif (operator.prefix) {\n\t\t\t\tindex = results.indexOf(array[len - p]);\n\t\t\t} else {\n\t\t\t\tindex = results.indexOf(array[p]);\n\t\t\t}\n\t\t\tif (index !== -1) {\n\t\t\t\tresults.splice(index, 1);\n\t\t\t}\n\t\t}\n\t\treturn results;\n\t};\n\n\t/*\n\tReturns all items from the current list sorted in the order of the items in the operand array\n\t*/\n\texports.sortby = function (source, operator) {\n\t\tvar results = prepare_results(source);\n\t\tif (!results || results.length < 2) {\n\t\t\treturn results;\n\t\t}\n\t\tvar lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n\t\tresults.sort(function (a, b) {\n\t\t\treturn lookup.indexOf(a) - lookup.indexOf(b);\n\t\t});\n\t\treturn results;\n\t};\n\n\t/*\n\tRemoves all duplicate items from the current list\n\t*/\n\texports.unique = function (source, operator) {\n\t\tvar results = prepare_results(source);\n\t\tvar set = results.reduce(function (a, b) {\n\t\t\tif (a.indexOf(b) < 0) {\n\t\t\t\ta.push(b);\n\t\t\t}\n\t\t\treturn a;\n\t\t}, []);\n\t\treturn set;\n\t};\n\n\tvar cycleValueInArray = function(results,operands,stepSize) {\n\t\tvar resultsIndex,\n\t\t\tstep = stepSize || 1,\n\t\t\ti = 0,\n\t\t\topLength = operands.length,\n\t\t\tnextOperandIndex;\n\t\tfor(i; i < opLength; i++) {\n\t\t\tresultsIndex = results.indexOf(operands[i]);\n\t\t\tif(resultsIndex !== -1) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\tif(resultsIndex !== -1) {\n\t\t\ti = i + step;\n\t\t\tnextOperandIndex = (i < opLength ? i : i - opLength);\n\t\t\tif(operands.length > 1) {\n\t\t\t\tresults.splice(resultsIndex,1,operands[nextOperandIndex]);\n\t\t\t} else {\n\t\t\t\tresults.splice(resultsIndex,1);\n\t\t\t}\n\t\t} else {\n\t\t\tresults.push(operands[0]);\n\t\t}\n\t\treturn results;\n\t}\n\n\t/*\n\tToggles an item in the current list.\n\t*/\n\texports.toggle = function(source,operator) {\n\t\treturn cycleValueInArray(prepare_results(source),operator.operands);\n\t}\n\n\texports.cycle = function(source,operator) {\n\t\tvar results = prepare_results(source),\n\t\t\toperands = (operator.operand.length ? $tw.utils.parseStringArray(operator.operand, \"true\") : [\"\"]),\n\t\t\tstep = $tw.utils.getInt(operator.operands[1]||\"\",1);\n\t\tif(step < 0) {\n\t\t\toperands.reverse();\n\t\t\tstep = Math.abs(step);\n\t\t}\n\t\treturn cycleValueInArray(results,operands,step);\n\t}\n\n})();\n","type":"application/javascript","module-type":"filteroperator"},"$:/core/modules/filters.js":{"title":"$:/core/modules/filters.js","text":"/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widgetClass = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/* Maximum permitted filter recursion depth */\nvar MAX_FILTER_DEPTH = 300;\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\t// The raw suffix for older filters\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t\t// The processed suffix for newer filters\n\t\t\toperator.suffixes = [];\n\t\t\t$tw.utils.each(operator.suffix.split(\":\"),function(subsuffix) {\n\t\t\t\toperator.suffixes.push([]);\n\t\t\t\t$tw.utils.each(subsuffix.split(\",\"),function(entry) {\n\t\t\t\t\tentry = $tw.utils.trim(entry);\n\t\t\t\t\tif(entry) {\n\t\t\t\t\t\toperator.suffixes[operator.suffixes.length - 1].push(entry); \n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\t\toperator.operands = [];\n\t\tvar parseOperand = function(bracketType) {\n\t\t\tvar operand = {};\n\t\t\tswitch (bracketType) {\n\t\t\t\tcase \"{\": // Curly brackets\n\t\t\t\t\toperand.indirect = true;\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"[\": // Square brackets\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"<\": // Angle brackets\n\t\t\t\t\toperand.variable = true;\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"/\": // regexp brackets\n\t\t\t\t\tvar rex = /^((?:[^\\\\\\/]|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\t\tif(rexMatch) {\n\t\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n\t// DEPRECATION WARNING\n\tconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t\t}\n\t\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\tif(nextBracketPos === -1) {\n\t\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t\t}\n\t\t\tif(operator.regexp) {\n\t\t\t\toperand.text = \"\";\n\t\t\t} else {\n\t\t\t\toperand.text = filterString.substring(p,nextBracketPos);\n\t\t\t}\n\t\t\toperator.operands.push(operand);\n\t\t\tp = nextBracketPos + 1;\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tparseOperand(bracket);\n\n\t\t// Check for multiple operands\n\t\twhile(filterString.charAt(p) === \",\") {\n\t\t\tp++;\n\t\t\tif(/^[\\[\\{<\\/]/.test(filterString.substring(p))) {\n\t\t\t\tnextBracketPos = p;\n\t\t\t\tp++;\n\t\t\t\tparseOperand(filterString.charAt(nextBracketPos));\n\t\t\t} else {\n\t\t\t\tthrow \"Missing [ in filter expression\";\n\t\t\t}\n\t\t}\n\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=|\\:(\\w+)(?:\\:([\\w\\:, ]*))?)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow $tw.language.getString(\"Error/FilterSyntax\");\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp = p + operation.prefix.length;\n\t\t\t\tif(match[2]) {\n\t\t\t\t\toperation.namedPrefix = match[2];\n\t\t\t\t}\n\t\t\t\tif(match[3]) {\n\t\t\t\t\toperation.suffixes = [];\n\t\t\t\t\t $tw.utils.each(match[3].split(\":\"),function(subsuffix) {\n\t\t\t\t\t\toperation.suffixes.push([]);\n\t\t\t\t\t\t$tw.utils.each(subsuffix.split(\",\"),function(entry) {\n\t\t\t\t\t\t\tentry = $tw.utils.trim(entry);\n\t\t\t\t\t\t\tif(entry) {\n\t\t\t\t\t\t\t\toperation.suffixes[operation.suffixes.length -1].push(entry);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t});\n\t\t\t\t\t });\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(match[4]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[5] || match[6] || match[7]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operands: [{text: match[5] || match[6] || match[7]}]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.getFilterRunPrefixes = function() {\n\tif(!this.filterRunPrefixes) {\n\t\t$tw.Wiki.prototype.filterRunPrefixes = {};\n\t\t$tw.modules.applyMethods(\"filterrunprefix\",this.filterRunPrefixes);\n\t}\n\treturn this.filterRunPrefixes;\n}\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tif(!this.filterCache) {\n\t\tthis.filterCache = Object.create(null);\n\t\tthis.filterCacheCount = 0;\n\t}\n\tif(this.filterCache[filterString] !== undefined) {\n\t\treturn this.filterCache[filterString];\n\t}\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\t// We do not cache this result, so it adjusts along with localization changes\n\t\treturn function(source,widget) {\n\t\t\treturn [$tw.language.getString(\"Error/Filter\") + \": \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operands = [],\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\t// Use the \"title\" operator if no operator is specified\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\t// Unknown operators treated as \"[unknown]\" - at run time we can distinguish between a custom operator and falling back to the default \"field\" operator\n\t\t\t\t\toperatorFunction = filterOperators[\"[unknown]\"];\n\t\t\t\t} else {\n\t\t\t\t\t// Use the operator function\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\t$tw.utils.each(operator.operands,function(operand) {\n\t\t\t\t\tif(operand.indirect) {\n\t\t\t\t\t\toperand.value = self.getTextReference(operand.text,\"\",currTiddlerTitle);\n\t\t\t\t\t} else if(operand.variable) {\n\t\t\t\t\t\tvar varTree = $tw.utils.parseFilterVariable(operand.text);\n\t\t\t\t\t\toperand.value = widgetClass.evaluateVariable(widget,varTree.name,{params: varTree.params, source: source})[0] || \"\";\n\t\t\t\t\t} else {\n\t\t\t\t\t\toperand.value = operand.text;\n\t\t\t\t\t}\n\t\t\t\t\toperands.push(operand.value);\n\t\t\t\t});\n\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operands.length > 0 ? operands[0] : undefined,\n\t\t\t\t\t\t\toperands: operands,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tsuffixes: operator.suffixes,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\tvar filterRunPrefixes = self.getFilterRunPrefixes();\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tvar options = {wiki: self, suffixes: operation.suffixes || []};\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn filterRunPrefixes[\"or\"](operationSubFunction, options);\n\t\t\t\tcase \"=\": // The results of the operation are pushed into the result without deduplication\n\t\t\t\t\treturn filterRunPrefixes[\"all\"](operationSubFunction, options);\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn filterRunPrefixes[\"except\"](operationSubFunction, options);\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn filterRunPrefixes[\"and\"](operationSubFunction, options);\n\t\t\t\tcase \"~\": // This operation is unioned into the result only if the main result so far is empty\n\t\t\t\t\treturn filterRunPrefixes[\"else\"](operationSubFunction, options);\n\t\t\t\tdefault: \n\t\t\t\t\tif(operation.namedPrefix && filterRunPrefixes[operation.namedPrefix]) {\n\t\t\t\t\t\treturn filterRunPrefixes[operation.namedPrefix](operationSubFunction, options);\n\t\t\t\t\t} else {\n\t\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t\tresults.clear();\n\t\t\t\t\t\t\tresults.push($tw.language.getString(\"Error/FilterRunPrefix\"));\n\t\t\t\t\t\t};\n\t\t\t\t\t}\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\tvar fnMeasured = $tw.perf.measure(\"filter: \" + filterString,function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tif(!widget) {\n\t\t\twidget = $tw.rootWidget;\n\t\t}\n\t\tvar results = new $tw.utils.LinkedList();\n\t\tself.filterRecursionCount = (self.filterRecursionCount || 0) + 1;\n\t\tif(self.filterRecursionCount < MAX_FILTER_DEPTH) {\n\t\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\t\toperationFunction(results,source,widget);\n\t\t\t});\n\t\t} else {\n\t\t\tresults.push(\"/**-- Excessive filter recursion --**/\");\n\t\t}\n\t\tself.filterRecursionCount = self.filterRecursionCount - 1;\n\t\treturn results.toArray();\n\t});\n\tif(this.filterCacheCount >= 2000) {\n\t\t// To prevent memory leak, we maintain an upper limit for cache size.\n\t\t// Reset if exceeded. This should give us 95% of the benefit\n\t\t// that no cache limit would give us.\n\t\tthis.filterCache = Object.create(null);\n\t\tthis.filterCacheCount = 0;\n\t}\n\tthis.filterCache[filterString] = fnMeasured;\n\tthis.filterCacheCount++;\n\treturn fnMeasured;\n};\n\n})();\n","type":"application/javascript","module-type":"wikimethod"},"$:/core/modules/indexers/backlinks-indexer.js":{"title":"$:/core/modules/indexers/backlinks-indexer.js","text":"/*\\\ntitle: $:/core/modules/indexers/backlinks-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers' backlinks\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\n\nfunction BacklinksIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nBacklinksIndexer.prototype.init = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype._getLinks = function(tiddler) {\n\tvar parser =  this.wiki.parseText(tiddler.fields.type, tiddler.fields.text, {});\n\tif(parser) {\n\t\treturn this.wiki.extractLinks(parser.tree);\n\t}\n\treturn [];\n}\n\nBacklinksIndexer.prototype.update = function(updateDescriptor) {\n\tif(!this.index) {\n\t\treturn;\n\t}\n\tvar newLinks = [],\n\t    oldLinks = [],\n\t    self = this;\n\tif(updateDescriptor.old.exists) {\n\t\toldLinks = this._getLinks(updateDescriptor.old.tiddler);\n\t}\n\tif(updateDescriptor.new.exists) {\n\t\tnewLinks = this._getLinks(updateDescriptor.new.tiddler);\n\t}\n\n\t$tw.utils.each(oldLinks,function(link) {\n\t\tif(self.index[link]) {\n\t\t\tdelete self.index[link][updateDescriptor.old.tiddler.fields.title];\n\t\t}\n\t});\n\t$tw.utils.each(newLinks,function(link) {\n\t\tif(!self.index[link]) {\n\t\t\tself.index[link] = Object.create(null);\n\t\t}\n\t\tself.index[link][updateDescriptor.new.tiddler.fields.title] = true;\n\t});\n}\n\nBacklinksIndexer.prototype.lookup = function(title) {\n\tif(!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tvar self = this;\n\t\tthis.wiki.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self._getLinks(tiddler);\n\t\t\t$tw.utils.each(links, function(link) {\n\t\t\t\tif(!self.index[link]) {\n\t\t\t\t\tself.index[link] = Object.create(null);\n\t\t\t\t}\n\t\t\t\tself.index[link][title] = true;\n\t\t\t});\n\t\t});\n\t}\n\tif(this.index[title]) {\n\t\treturn Object.keys(this.index[title]);\n\t} else {\n\t\treturn [];\n\t}\n}\n\nexports.BacklinksIndexer = BacklinksIndexer;\n\n})();\n","type":"application/javascript","module-type":"indexer"},"$:/core/modules/indexers/field-indexer.js":{"title":"$:/core/modules/indexers/field-indexer.js","text":"/*\\\ntitle: $:/core/modules/indexers/field-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nvar DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH = 128;\n\nfunction FieldIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nFieldIndexer.prototype.init = function() {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH;\n\tthis.addIndexMethods();\n}\n\n// Provided for testing\nFieldIndexer.prototype.setMaxIndexedValueLength = function(length) {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = length;\n};\n\nFieldIndexer.prototype.addIndexMethods = function() {\n\tvar self = this;\n\t// get all tiddlers, including those overwrite shadow tiddlers\n\tthis.wiki.each.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn self.wiki.tiddlerExists(title)\n\t\t});\n\t};\n\t// get shadow tiddlers, including shadow tiddlers that is overwritten\n\tthis.wiki.eachShadow.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn self.wiki.isShadowTiddler(title)\n\t\t});\n\t};\n\tthis.wiki.eachTiddlerPlusShadows.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n\tthis.wiki.eachShadowPlusTiddlers.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n};\n\n/*\nTear down and then rebuild the index as if all tiddlers have changed\n*/\nFieldIndexer.prototype.rebuild = function() {\n\t// Invalidate the index so that it will be rebuilt when it is next used\n\tthis.index = null;\n};\n\n/*\nBuild the index for a particular field\n*/\nFieldIndexer.prototype.buildIndexForField = function(name) {\n\tvar self = this;\n\t// Hashmap by field name of hashmap by field value of array of tiddler titles\n\tthis.index = this.index || Object.create(null);\n\tthis.index[name] = Object.create(null);\n\tvar baseIndex = this.index[name];\n\t// Update the index for each tiddler\n\tthis.wiki.eachTiddlerPlusShadows(function(tiddler,title) {\n\t\tif(name in tiddler.fields) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t// Skip any values above the maximum length\n\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\tbaseIndex[value] = baseIndex[value] || [];\n\t\t\t\tbaseIndex[value].push(title);\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nUpdate the index in the light of a tiddler value changing; note that the title must be identical. (Renames are handled as a separate delete and create)\nupdateDescriptor: {old: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>},new: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>}}\n*/\nFieldIndexer.prototype.update = function(updateDescriptor) {\n\tvar self = this;\n\t// Don't do anything if the index hasn't been built yet\n\tif(this.index === null) {\n\t\treturn;\n\t}\n\t// Remove the old tiddler from the index\n\tif(updateDescriptor.old.tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor.old.tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor.old.tiddler.getFieldString(name),\n\t\t\t\t\ttiddlerList = indexEntry[value];\n\t\t\t\tif(tiddlerList) {\n\t\t\t\t\tvar index = tiddlerList.indexOf(updateDescriptor.old.tiddler.fields.title);\n\t\t\t\t\tif(index !== -1) {\n\t\t\t\t\t\ttiddlerList.splice(index,1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// Add the new tiddler to the index\n\tif(updateDescriptor[\"new\"].tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor[\"new\"].tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor[\"new\"].tiddler.getFieldString(name);\n\t\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\t\tindexEntry[value] = indexEntry[value] || [];\n\t\t\t\t\tindexEntry[value].push(updateDescriptor[\"new\"].tiddler.fields.title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n// Lookup the given field returning a list of tiddler titles\nFieldIndexer.prototype.lookup = function(name,value) {\n\t// Fail the lookup if the value is too long\n\tif(value.length >= this.maxIndexedValueLength) {\n\t\treturn null;\n\t}\n\t// Update the index if it has yet to be built\n\tif(this.index === null || !this.index[name]) {\n\t\tthis.buildIndexForField(name);\n\t}\n\treturn this.index[name][value] || [];\n};\n\nexports.FieldIndexer = FieldIndexer;\n\n})();\n","type":"application/javascript","module-type":"indexer"},"$:/core/modules/indexers/tag-indexer.js":{"title":"$:/core/modules/indexers/tag-indexer.js","text":"/*\\\ntitle: $:/core/modules/indexers/tag-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nfunction TagIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nTagIndexer.prototype.init = function() {\n\tthis.subIndexers = [\n\t\tnew TagSubIndexer(this,\"each\"),\n\t\tnew TagSubIndexer(this,\"eachShadow\"),\n\t\tnew TagSubIndexer(this,\"eachTiddlerPlusShadows\"),\n\t\tnew TagSubIndexer(this,\"eachShadowPlusTiddlers\")\n\t];\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.addIndexMethod();\n\t});\n};\n\nTagIndexer.prototype.rebuild = function() {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.rebuild();\n\t});\n};\n\nTagIndexer.prototype.update = function(updateDescriptor) {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.update(updateDescriptor);\n\t});\n};\n\nfunction TagSubIndexer(indexer,iteratorMethod) {\n\tthis.indexer = indexer;\n\tthis.iteratorMethod = iteratorMethod;\n\tthis.index = null; // Hashmap of tag title to {isSorted: bool, titles: [array]} or null if not yet initialised\n}\n\nTagSubIndexer.prototype.addIndexMethod = function() {\n\tvar self = this;\n\tthis.indexer.wiki[this.iteratorMethod].byTag = function(tag) {\n\t\treturn self.lookup(tag).slice(0);\n\t};\n};\n\nTagSubIndexer.prototype.rebuild = function() {\n\tvar self = this;\n\t// Hashmap by tag of array of {isSorted:, titles:[]}\n\tthis.index = Object.create(null);\n\t// Add all the tags\n\tthis.indexer.wiki[this.iteratorMethod](function(tiddler,title) {\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\tif(!self.index[tag]) {\n\t\t\t\tself.index[tag] = {isSorted: false, titles: [title]};\n\t\t\t} else {\n\t\t\t\tself.index[tag].titles.push(title);\n\t\t\t}\n\t\t});\n\t});\n};\n\nTagSubIndexer.prototype.update = function(updateDescriptor) {\n\tthis.index = null;\n};\n\nTagSubIndexer.prototype.lookup = function(tag) {\n\t// Update the index if it has yet to be built\n\tif(this.index === null) {\n\t\tthis.rebuild();\n\t}\n\tvar indexRecord = this.index[tag];\n\tif(indexRecord) {\n\t\tif(!indexRecord.isSorted) {\n\t\t\tif(this.indexer.wiki.sortByList) {\n\t\t\t\tindexRecord.titles = this.indexer.wiki.sortByList(indexRecord.titles,tag);\n\t\t\t}\n\t\t\tindexRecord.isSorted = true;\n\t\t}\n\t\treturn indexRecord.titles;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n\nexports.TagIndexer = TagIndexer;\n\n})();\n","type":"application/javascript","module-type":"indexer"},"$:/core/modules/info/platform.js":{"title":"$:/core/modules/info/platform.js","text":"/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function(updateInfoTiddlersCallback) {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\tinfoTiddlerFields.push({title: \"$:/info/startup-timestamp\", text: $tw.utils.stringifyDate(new Date())});\n\tif($tw.browser) {\n\t\t// Document location\n\t\tvar setLocationProperty = function(name,value) {\n\t\t\t\tinfoTiddlerFields.push({title: \"$:/info/url/\" + name, text: value});\n\t\t\t},\n\t\t\tlocation = document.location;\n\t\tsetLocationProperty(\"full\", (location.toString()).split(\"#\")[0]);\n\t\tsetLocationProperty(\"host\", location.host);\n\t\tsetLocationProperty(\"hostname\", location.hostname);\n\t\tsetLocationProperty(\"protocol\", location.protocol);\n\t\tsetLocationProperty(\"port\", location.port);\n\t\tsetLocationProperty(\"pathname\", location.pathname);\n\t\tsetLocationProperty(\"search\", location.search);\n\t\tsetLocationProperty(\"origin\", location.origin);\n\t\t// Screen size\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/width\", text: window.screen.width.toString()});\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/height\", text: window.screen.height.toString()});\n \t\t// Dark mode through event listener on MediaQueryList\n \t\tvar mqList = window.matchMedia(\"(prefers-color-scheme: dark)\"),\n \t\t\tgetDarkModeTiddler = function() {return {title: \"$:/info/darkmode\", text: mqList.matches ? \"yes\" : \"no\"};};\n \t\tinfoTiddlerFields.push(getDarkModeTiddler());\n \t\tmqList.addListener(function(event) {\n \t\t\tupdateInfoTiddlersCallback([getDarkModeTiddler()]);\n \t\t});\n\t\t// Language\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/language\", text: navigator.language || \"\"});\n\t}\n\treturn infoTiddlerFields;\n};\n\n})();\n","type":"application/javascript","module-type":"info"},"$:/core/modules/keyboard.js":{"title":"$:/core/modules/keyboard.js","text":"/*\\\ntitle: $:/core/modules/keyboard.js\ntype: application/javascript\nmodule-type: global\n\nKeyboard handling utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"cancel\": 3,\n\t\"help\": 6,\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"clear\": 12,\n\t\"return\": 13,\n\t\"enter\": 13,\n\t\"pause\": 19,\n\t\"escape\": 27,\n\t\"space\": 32,\n\t\"page_up\": 33,\n\t\"page_down\": 34,\n\t\"end\": 35,\n\t\"home\": 36,\n\t\"left\": 37,\n\t\"up\": 38,\n\t\"right\": 39,\n\t\"down\": 40,\n\t\"printscreen\": 44,\n\t\"insert\": 45,\n\t\"delete\": 46,\n\t\"0\": 48,\n\t\"1\": 49,\n\t\"2\": 50,\n\t\"3\": 51,\n\t\"4\": 52,\n\t\"5\": 53,\n\t\"6\": 54,\n\t\"7\": 55,\n\t\"8\": 56,\n\t\"9\": 57,\n\t\"firefoxsemicolon\": 59,\n\t\"firefoxequals\": 61,\n\t\"a\": 65,\n\t\"b\": 66,\n\t\"c\": 67,\n\t\"d\": 68,\n\t\"e\": 69,\n\t\"f\": 70,\n\t\"g\": 71,\n\t\"h\": 72,\n\t\"i\": 73,\n\t\"j\": 74,\n\t\"k\": 75,\n\t\"l\": 76,\n\t\"m\": 77,\n\t\"n\": 78,\n\t\"o\": 79,\n\t\"p\": 80,\n\t\"q\": 81,\n\t\"r\": 82,\n\t\"s\": 83,\n\t\"t\": 84,\n\t\"u\": 85,\n\t\"v\": 86,\n\t\"w\": 87,\n\t\"x\": 88,\n\t\"y\": 89,\n\t\"z\": 90,\n\t\"numpad0\": 96,\n\t\"numpad1\": 97,\n\t\"numpad2\": 98,\n\t\"numpad3\": 99,\n\t\"numpad4\": 100,\n\t\"numpad5\": 101,\n\t\"numpad6\": 102,\n\t\"numpad7\": 103,\n\t\"numpad8\": 104,\n\t\"numpad9\": 105,\n\t\"multiply\": 106,\n\t\"add\": 107,\n\t\"separator\": 108,\n\t\"subtract\": 109,\n\t\"decimal\": 110,\n\t\"divide\": 111,\n\t\"f1\": 112,\n\t\"f2\": 113,\n\t\"f3\": 114,\n\t\"f4\": 115,\n\t\"f5\": 116,\n\t\"f6\": 117,\n\t\"f7\": 118,\n\t\"f8\": 119,\n\t\"f9\": 120,\n\t\"f10\": 121,\n\t\"f11\": 122,\n\t\"f12\": 123,\n\t\"f13\": 124,\n\t\"f14\": 125,\n\t\"f15\": 126,\n\t\"f16\": 127,\n\t\"f17\": 128,\n\t\"f18\": 129,\n\t\"f19\": 130,\n\t\"f20\": 131,\n\t\"f21\": 132,\n\t\"f22\": 133,\n\t\"f23\": 134,\n\t\"f24\": 135,\n\t\"firefoxminus\": 173,\n\t\"semicolon\": 186,\n\t\"equals\": 187,\n\t\"comma\": 188,\n\t\"dash\": 189,\n\t\"period\": 190,\n\t\"slash\": 191,\n\t\"backquote\": 192,\n\t\"openbracket\": 219,\n\t\"backslash\": 220,\n\t\"closebracket\": 221,\n\t\"quote\": 222\n};\n\nfunction KeyboardManager(options) {\n\tvar self = this;\n\toptions = options || \"\";\n\t// Save the named key hashmap\n\tthis.namedKeys = namedKeys;\n\t// Create a reverse mapping of code to keyname\n\tthis.keyNames = [];\n\t$tw.utils.each(namedKeys,function(keyCode,name) {\n\t\tself.keyNames[keyCode] = name.substr(0,1).toUpperCase() + name.substr(1);\n\t});\n\t// Save the platform-specific name of the \"meta\" key\n\tthis.metaKeyName = $tw.platform.isMac ? \"cmd-\" : \"win-\";\n\tthis.shortcutKeysList = [], // Stores the shortcut-key descriptors\n\tthis.shortcutActionList = [], // Stores the corresponding action strings\n\tthis.shortcutParsedList = []; // Stores the parsed key descriptors\n\tthis.shortcutPriorityList = []; // Stores the parsed shortcut priority\n\tthis.lookupNames = [\"shortcuts\"];\n\tthis.lookupNames.push($tw.platform.isMac ? \"shortcuts-mac\" : \"shortcuts-not-mac\")\n\tthis.lookupNames.push($tw.platform.isWindows ? \"shortcuts-windows\" : \"shortcuts-not-windows\");\n\tthis.lookupNames.push($tw.platform.isLinux ? \"shortcuts-linux\" : \"shortcuts-not-linux\");\n\tthis.updateShortcutLists(this.getShortcutTiddlerList());\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.handleShortcutChanges(changes);\n\t});\n}\n\n/*\nReturn an array of keycodes for the modifier keys ctrl, shift, alt, meta\n*/\nKeyboardManager.prototype.getModifierKeys = function() {\n\treturn [\n\t\t16, // Shift\n\t\t17, // Ctrl\n\t\t18, // Alt\n\t\t20, // CAPS LOCK\n\t\t91, // Meta (left)\n\t\t93, // Meta (right)\n\t\t224 // Meta (Firefox)\n\t]\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n\tmetaKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nKeyboardManager.prototype.parseKeyDescriptor = function(keyDescriptor,options) {\n\tvar components = keyDescriptor.split(/\\+|\\-/),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false,\n\t\t\tmetaKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase(),\n\t\t\tc = s.charCodeAt(0);\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\" || s === \"cmd\" || s === \"win\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(this.namedKeys[s]) {\n\t\t\tinfo.keyCode = this.namedKeys[s];\n\t\t}\n\t}\n\tif(options.keyDescriptor) {\n\t\tinfo.keyDescriptor = options.keyDescriptor;\n\t}\n\tif(info.keyCode) {\n\t\treturn info;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nParse a list of key descriptors into an array of keyInfo objects. The key descriptors can be passed as an array of strings or a space separated string\n*/\nKeyboardManager.prototype.parseKeyDescriptors = function(keyDescriptors,options) {\n\tvar self = this;\n\toptions = options || {};\n\toptions.stack = options.stack || [];\n\tvar wiki = options.wiki || $tw.wiki;\n\tif(typeof keyDescriptors === \"string\" && keyDescriptors === \"\") {\n\t\treturn [];\n\t}\n\tif(!$tw.utils.isArray(keyDescriptors)) {\n\t\tkeyDescriptors = keyDescriptors.split(\" \");\n\t}\n\tvar result = [];\n\t$tw.utils.each(keyDescriptors,function(keyDescriptor) {\n\t\t// Look for a named shortcut\n\t\tif(keyDescriptor.substr(0,2) === \"((\" && keyDescriptor.substr(-2,2) === \"))\") {\n\t\t\tif(options.stack.indexOf(keyDescriptor) === -1) {\n\t\t\t\toptions.stack.push(keyDescriptor);\n\t\t\t\tvar name = keyDescriptor.substring(2,keyDescriptor.length - 2),\n\t\t\t\t\tlookupName = function(configName) {\n\t\t\t\t\t\tvar keyDescriptors = wiki.getTiddlerText(\"$:/config/\" + configName + \"/\" + name);\n\t\t\t\t\t\tif(keyDescriptors) {\n\t\t\t\t\t\t\toptions.keyDescriptor = keyDescriptor;\n\t\t\t\t\t\t\tresult.push.apply(result,self.parseKeyDescriptors(keyDescriptors,options));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\t$tw.utils.each(self.lookupNames,function(platformDescriptor) {\n\t\t\t\t\tlookupName(platformDescriptor);\n\t\t\t\t});\n\t\t\t}\n\t\t} else {\n\t\t\tresult.push(self.parseKeyDescriptor(keyDescriptor,options));\n\t\t}\n\t});\n\treturn result;\n};\n\nKeyboardManager.prototype.getPrintableShortcuts = function(keyInfoArray) {\n\tvar self = this,\n\t\tresult = [];\n\t$tw.utils.each(keyInfoArray,function(keyInfo) {\n\t\tif(keyInfo) {\n\t\t\tresult.push((keyInfo.ctrlKey ? \"ctrl-\" : \"\") + \n\t\t\t\t   (keyInfo.shiftKey ? \"shift-\" : \"\") + \n\t\t\t\t   (keyInfo.altKey ? \"alt-\" : \"\") + \n\t\t\t\t   (keyInfo.metaKey ? self.metaKeyName : \"\") + \n\t\t\t\t   (self.keyNames[keyInfo.keyCode]));\n\t\t}\n\t});\n\treturn result;\n}\n\nKeyboardManager.prototype.checkKeyDescriptor = function(event,keyInfo) {\n\treturn keyInfo &&\n\t\t\tevent.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === keyInfo.metaKey;\n};\n\nKeyboardManager.prototype.checkKeyDescriptors = function(event,keyInfoArray) {\n\treturn (this.getMatchingKeyDescriptor(event,keyInfoArray) !== null);\n};\n\nKeyboardManager.prototype.getMatchingKeyDescriptor = function(event,keyInfoArray) {\n\tfor(var t=0; t<keyInfoArray.length; t++) {\n\t\tif(this.checkKeyDescriptor(event,keyInfoArray[t])) {\n\t\t\treturn keyInfoArray[t];\n\t\t}\n\t}\n\treturn null;\n};\n\nKeyboardManager.prototype.getEventModifierKeyDescriptor = function(event) {\n\treturn event.ctrlKey && !event.shiftKey\t&& !event.altKey && !event.metaKey ? \"ctrl\" : \n\t\tevent.shiftKey && !event.ctrlKey && !event.altKey && !event.metaKey ? \"shift\" : \n\t\tevent.ctrlKey && event.shiftKey && !event.altKey && !event.metaKey ? \"ctrl-shift\" : \n\t\tevent.altKey && !event.shiftKey && !event.ctrlKey && !event.metaKey ? \"alt\" : \n\t\tevent.altKey && event.shiftKey && !event.ctrlKey && !event.metaKey ? \"alt-shift\" : \n\t\tevent.altKey && event.ctrlKey && !event.shiftKey && !event.metaKey ? \"ctrl-alt\" : \n\t\tevent.altKey && event.shiftKey && event.ctrlKey && !event.metaKey ? \"ctrl-alt-shift\" : \n\t\tevent.metaKey && !event.ctrlKey && !event.shiftKey && !event.altKey ? \"meta\" : \n\t\tevent.metaKey && event.ctrlKey && !event.shiftKey && !event.altKey ? \"meta-ctrl\" :\n\t\tevent.metaKey && event.ctrlKey && event.shiftKey && !event.altKey ? \"meta-ctrl-shift\" :\n\t\tevent.metaKey && event.ctrlKey && event.shiftKey && event.altKey ? \"meta-ctrl-alt-shift\" : \"normal\";\n};\n\nKeyboardManager.prototype.getShortcutTiddlerList = function() {\n\treturn $tw.wiki.getTiddlersWithTag(\"$:/tags/KeyboardShortcut\");\n};\n\nKeyboardManager.prototype.updateShortcutLists = function(tiddlerList) {\n\tthis.shortcutTiddlers = tiddlerList;\n\tfor(var i=0; i<tiddlerList.length; i++) {\n\t\tvar title = tiddlerList[i],\n\t\t\ttiddlerFields = $tw.wiki.getTiddler(title).fields;\n\t\tthis.shortcutKeysList[i] = tiddlerFields.key !== undefined ? tiddlerFields.key : undefined;\n\t\tthis.shortcutActionList[i] = tiddlerFields.text;\n\t\tthis.shortcutParsedList[i] = this.shortcutKeysList[i] !== undefined ? this.parseKeyDescriptors(this.shortcutKeysList[i]) : undefined;\n\t\tthis.shortcutPriorityList[i] = tiddlerFields.priority === \"yes\" ? true : false;\n\t}\n};\n\n/*\nevent: the keyboard event object\noptions:\n\tonlyPriority: true if only priority global shortcuts should be invoked\n*/\nKeyboardManager.prototype.handleKeydownEvent = function(event, options) {\n\toptions = options || {};\n\tvar key, action;\n\tfor(var i=0; i<this.shortcutTiddlers.length; i++) {\n\t\tif(options.onlyPriority && this.shortcutPriorityList[i] !== true) {\n\t\t\tcontinue;\n\t\t}\n\n\t\tif(this.shortcutParsedList[i] !== undefined && this.checkKeyDescriptors(event,this.shortcutParsedList[i])) {\n\t\t\tkey = this.shortcutParsedList[i];\n\t\t\taction = this.shortcutActionList[i];\n\t\t}\n\t}\n\tif(key !== undefined) {\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\t$tw.rootWidget.invokeActionString(action,$tw.rootWidget,event);\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.detectNewShortcuts = function(changedTiddlers) {\n\tvar shortcutConfigTiddlers = [],\n\t\thandled = false;\n\t$tw.utils.each(this.lookupNames,function(platformDescriptor) {\n\t\tvar descriptorString = \"$:/config/\" + platformDescriptor + \"/\";\n\t\tObject.keys(changedTiddlers).forEach(function(configTiddler) {\n\t\t\tvar configString = configTiddler.substr(0, configTiddler.lastIndexOf(\"/\") + 1);\n\t\t\tif(configString === descriptorString) {\n\t\t\t\tshortcutConfigTiddlers.push(configTiddler);\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t});\n\t});\n\tif(handled) {\n\t\treturn $tw.utils.hopArray(changedTiddlers,shortcutConfigTiddlers);\n\t} else {\n\t\treturn false;\n\t}\n};\n\nKeyboardManager.prototype.handleShortcutChanges = function(changedTiddlers) {\n\tvar newList = this.getShortcutTiddlerList();\n\tvar hasChanged = $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers) ? true :\n\t\t($tw.utils.hopArray(changedTiddlers,newList) ? true :\n\t\t(this.detectNewShortcuts(changedTiddlers))\n\t);\n\t// Re-cache shortcuts if something changed\n\tif(hasChanged) {\n\t\tthis.updateShortcutLists(newList);\n\t}\n};\n\nexports.KeyboardManager = KeyboardManager;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/language.js":{"title":"$:/core/modules/language.js","text":"/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/macros/changecount.js":{"title":"$:/core/modules/macros/changecount.js","text":"/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/contrastcolour.js":{"title":"$:/core/modules/macros/contrastcolour.js","text":"/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/csvtiddlers.js":{"title":"$:/core/modules/macros/csvtiddlers.js","text":"/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/displayshortcuts.js":{"title":"$:/core/modules/macros/displayshortcuts.js","text":"/*\\\ntitle: $:/core/modules/macros/displayshortcuts.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to display a list of keyboard shortcuts in human readable form. Notably, it resolves named shortcuts like `((bold))` to the underlying keystrokes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"displayshortcuts\";\n\nexports.params = [\n\t{name: \"shortcuts\"},\n\t{name: \"prefix\"},\n\t{name: \"separator\"},\n\t{name: \"suffix\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(shortcuts,prefix,separator,suffix) {\n\tvar shortcutArray = $tw.keyboardManager.getPrintableShortcuts($tw.keyboardManager.parseKeyDescriptors(shortcuts,{\n\t\twiki: this.wiki\n\t}));\n\tif(shortcutArray.length > 0) {\n\t\tshortcutArray.sort(function(a,b) {\n\t\t    return a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t})\n\t\treturn prefix + shortcutArray.join(separator) + suffix;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/jsontiddler.js":{"title":"$:/core/modules/macros/jsontiddler.js","text":"/*\\\ntitle: $:/core/modules/macros/jsontiddler.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output a single tiddler to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddler\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\ttitle = title || this.getVariable(\"currentTiddler\");\n\tvar tiddler = !!title && this.wiki.getTiddler(title),\n\t\tfields = new Object();\n\tif(tiddler) {\n\t\tfor(var field in tiddler.fields) {\n\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t}\n\t}\n\treturn JSON.stringify(fields,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/jsontiddlers.js":{"title":"$:/core/modules/macros/jsontiddlers.js","text":"/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"spaces\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,spaces) {\n\treturn this.wiki.getTiddlersAsJson(filter,$tw.utils.parseInt(spaces));\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/makedatauri.js":{"title":"$:/core/modules/macros/makedatauri.js","text":"/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert a string of text to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"},\n\t{name: \"_canonical_uri\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type,_canonical_uri) {\n\treturn $tw.utils.makeDataUri(text,type,_canonical_uri);\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/now.js":{"title":"$:/core/modules/macros/now.js","text":"/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/qualify.js":{"title":"$:/core/modules/macros/qualify.js","text":"/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/resolvepath.js":{"title":"$:/core/modules/macros/resolvepath.js","text":"/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/unusedtitle.js":{"title":"$:/core/modules/macros/unusedtitle.js","text":"/*\\\ntitle: $:/core/modules/macros/unusedtitle.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a new title that is unused in the wiki. It can be given a name as a base.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"unusedtitle\";\n\nexports.params = [\n\t{name: \"baseName\"},\n\t{name: \"separator\"},\n\t{name: \"template\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(baseName,separator,template) {\n\tseparator = separator || \" \";\n\tif(!baseName) {\n\t\tbaseName = $tw.language.getString(\"DefaultNewTiddlerTitle\");\n\t}\n\t// $tw.wiki.generateNewTitle = function(baseTitle,options)\n\t// options.prefix must be a string! \n\treturn this.wiki.generateNewTitle(baseName, {\"prefix\": separator, \"template\": template});\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/macros/version.js":{"title":"$:/core/modules/macros/version.js","text":"/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n","type":"application/javascript","module-type":"macro"},"$:/core/modules/parsers/audioparser.js":{"title":"$:/core/modules/parsers/audioparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n\tthis.source = text;\n\tthis.type = type;\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/parsers/binaryparser.js":{"title":"$:/core/modules/parsers/binaryparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/binaryparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe binary parser parses a binary tiddler into a warning message and download link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar BinaryParser = function(type,text,options) {\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\t\"$tiddler\": {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on binary tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!title\"}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\t\"$tiddler\": {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to external or internal data URI\n\tif(options._canonical_uri) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: options._canonical_uri\n\t\t};\n\t} else if(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\tthis.tree = [element];\n\tthis.source = text;\n\tthis.type = type;\n};\n\nexports[\"application/octet-stream\"] = BinaryParser;\n\n})();\n\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/parsers/csvparser.js":{"title":"$:/core/modules/parsers/csvparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Special handler for tab-delimited files\n\tif (type === 'text/tab-delimited-values' && !options.separator) {\n\t\toptions.separator = \"\\t\";\n\t}\n\t\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = $tw.utils.parseCsvString(text, options),\n\t\ttag = \"th\";\n\tvar maxColumns = 0;\n\t$tw.utils.each(lines, function(columns) {\n\t\tmaxColumns = Math.max(columns.length, maxColumns);\n\t});\n\t\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar columns = lines[line];\n\t\tvar row = {\n\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t};\n\t\tfor(var column=0; column<maxColumns; column++) {\n\t\t\trow.children.push({\n\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\"text\": columns[column] || ''\n\t\t\t\t}]\n\t\t\t});\n\t\t}\n\t\ttag = \"td\";\n\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t}\n\tthis.source = text;\n\tthis.type = type;\n};\n\nexports[\"text/csv\"] = CsvParser;\nexports[\"text/tab-delimited-values\"] = CsvParser;\n\n})();\n\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/parsers/htmlparser.js":{"title":"$:/core/modules/parsers/htmlparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src}\n\t\t}\n\t}];\n\tif($tw.wiki.getTiddlerText(\"$:/config/HtmlParser/DisableSandbox\",\"no\") !== \"yes\") {\n\t\tthis.tree[0].attributes.sandbox = {type: \"string\", value: $tw.wiki.getTiddlerText(\"$:/config/HtmlParser/SandboxTokens\",\"\")};\n\t}\n\tthis.source = text;\n\tthis.type = type;\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/parsers/imageparser.js":{"title":"$:/core/modules/parsers/imageparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t};\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\tif(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n\tthis.source = text;\n\tthis.type = type;\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"image/webp\"] = ImageParser;\nexports[\"image/heic\"] = ImageParser;\nexports[\"image/heif\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\nexports[\"image/vnd.microsoft.icon\"] = ImageParser;\n\n})();\n\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/utils/parseutils.js":{"title":"$:/core/modules/utils/parseutils.js","text":"/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nReturns an array of {name:} with an optional \"default\" property. Options include:\nrequireParenthesis: require the parameter definition to be wrapped in parenthesis\n*/\nexports.parseParameterDefinition = function(paramString,options) {\n\toptions = options || {};\n\tif(options.requireParenthesis) {\n\t\tvar parenMatch = /^\\s*\\((.*)\\)\\s*$/g.exec(paramString);\n\t\tif(!parenMatch) {\n\t\t\treturn [];\n\t\t}\n\t\tparamString = parenMatch[1];\n\t}\n\tvar params = [],\n\t\treParam = /\\s*([^:),\\s]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|([^,\"'\\s]+)))?/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Save the parameter details\n\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5];\n\t\tif(defaultValue !== undefined) {\n\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Look for the next parameter\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn params;\n};\n\nexports.parseMacroParameters = function(node,source,pos) {\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\tnode.end = pos;\n\treturn node;\n}\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|((?:(?:>(?!>))|[^\\s>\"'])+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"transclude\", attributes:, start:, end:}\n*/\nexports.parseMacroInvocationAsTransclusion = function(source,pos) {\n\tvar node = $tw.utils.parseMacroInvocation(source,pos);\n\tif(node) {\n\t\tvar positionalName = 0,\n\t\t\ttransclusion = {\n\t\t\t\ttype: \"transclude\",\n\t\t\t\tstart: node.start,\n\t\t\t\tend: node.end\n\t\t\t};\n\t\t$tw.utils.addAttributeToParseTreeNode(transclusion,\"$variable\",node.name);\n\t\t$tw.utils.each(node.params,function(param) {\n\t\t\tvar name = param.name;\n\t\t\tif(name) {\n\t\t\t\tif(name.charAt(0) === \"$\") {\n\t\t\t\t\tname = \"$\" + name;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(transclusion,{name: name,type: \"string\", value: param.value, start: param.start, end: param.end});\n\t\t\t} else {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(transclusion,{name: (positionalName++) + \"\",type: \"string\", value: param.value, start: param.start, end: param.end});\n\t\t\t}\n\t\t});\n\t\treturn transclusion;\n\t}\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, params:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\tnode = $tw.utils.parseMacroParameters(node,source,pos);\n\tpos = node.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.parseFilterVariable = function(source) {\n\tvar node = {\n\t\t\tname: \"\",\n\t\t\tparams: [],\n\t\t},\n\t\tpos = 0,\n\t\treName = /([^\\s\"']+)/g;\n\t// If there is no whitespace or it is an empty string then there are no macro parameters\n\tif(/^\\S*$/.test(source)) {\n\t\tnode.name = source;\n\t\treturn node;\n\t}\n\t// Get the variable name\n\tvar nameMatch = $tw.utils.parseTokenRegExp(source,pos,reName);\n\tif(nameMatch) {\n\t\tnode.name = nameMatch.match[1];\n\t\tpos = nameMatch.end;\n\t\tnode = $tw.utils.parseMacroParameters(node,source,pos);\n\t\tdelete node.end;\n\t}\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, type: \"filtered|string|indirect|macro\", value|filter|textReference:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'`=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'`=]+)/g,\n\t\treFilteredValue = /\\{\\{\\{([\\S\\s]+?)\\}\\}\\}/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g,\n\t\treSubstitutedValue = /(?:```([\\s\\S]*?)```|`([^`]|[\\S\\s]*?)`)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for a filtered value\n\t\t\tvar filteredValue = $tw.utils.parseTokenRegExp(source,pos,reFilteredValue);\n\t\t\tif(filteredValue) {\n\t\t\t\tpos = filteredValue.end;\n\t\t\t\tnode.type = \"filtered\";\n\t\t\t\tnode.filter = filteredValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for an indirect value\n\t\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\t\tif(indirectValue) {\n\t\t\t\t\tpos = indirectValue.end;\n\t\t\t\t\tnode.type = \"indirect\";\n\t\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a unquoted value\n\t\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\t\tif(unquotedValue) {\n\t\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tvar substitutedValue = $tw.utils.parseTokenRegExp(source,pos,reSubstitutedValue);\n\t\t\t\t\t\t\tif(substitutedValue) {\n\t\t\t\t\t\t\t\tpos = substitutedValue.end;\n\t\t\t\t\t\t\t\tnode.type = \"substituted\";\n\t\t\t\t\t\t\t\tnode.rawValue = substitutedValue.match[1] || substitutedValue.match[2];\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/parsers/pdfparser.js":{"title":"$:/core/modules/parsers/pdfparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/pdfparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe PDF parser embeds a PDF viewer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"iframe\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t}\n\tthis.tree = [element];\n\tthis.source = text;\n\tthis.type = type;\n};\n\nexports[\"application/pdf\"] = ImageParser;\n\n})();\n\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/parsers/textparser.js":{"title":"$:/core/modules/parsers/textparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"genesis\",\n\t\tattributes: {\n\t\t\t$type: {name: \"$type\", type: \"string\", value: \"$codeblock\"},\n\t\t\tcode: {name: \"code\", type: \"string\", value: text},\n\t\t\tlanguage: {name: \"language\", type: \"string\", value: type},\n\t\t\t$remappable: {name: \"$remappable\", type:\"string\", value: \"no\"}\n\t\t}\n\t}];\n\tthis.source = text;\n\tthis.type = type;\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/parsers/videoparser.js":{"title":"$:/core/modules/parsers/videoparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar VideoParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n\tthis.source = text;\n\tthis.type = type;\n};\n\nexports[\"video/ogg\"] = VideoParser;\nexports[\"video/webm\"] = VideoParser;\nexports[\"video/mp4\"] = VideoParser;\nexports[\"video/quicktime\"] = VideoParser;\n\n})();\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/parsers/wikiparser/rules/codeblock.js":{"title":"$:/core/modules/parsers/wikiparser/rules/codeblock.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/codeinline.js":{"title":"$:/core/modules/parsers/wikiparser/rules/codeinline.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/commentblock.js":{"title":"$:/core/modules/parsers/wikiparser/rules/commentblock.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n\\define macroX()\n<!-- This is a comment -->\nxxxx\n\\end\n<!-- This is a comment -->\n\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block:true, pragma:true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = this.match.index + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/commentinline.js":{"title":"$:/core/modules/parsers/wikiparser/rules/commentinline.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = this.match.index + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/conditional.js":{"title":"$:/core/modules/parsers/wikiparser/rules/conditional.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/conditional.js\ntype: application/javascript\nmodule-type: wikirule\n\nConditional shortcut syntax\n\n```\nThis is a <% if [{something}] %>Elephant<% elseif [{else}] %>Pelican<% else %>Crocodile<% endif %>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"conditional\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\<\\%\\s*if\\s+/mg;\n\tthis.terminateIfRegExp = /\\%\\>/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Look for the next <% if shortcut\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t// If not found then return no match\n\tif(!this.match) {\n\t\treturn undefined;\n\t}\n\t// Check for the next %>\n\tthis.terminateIfRegExp.lastIndex = this.match.index;\n\tthis.terminateIfMatch = this.terminateIfRegExp.exec(this.parser.source);\n\t// If not found then return no match\n\tif(!this.terminateIfMatch) {\n\t\treturn undefined;\n\t}\n\t// Return the position at which the construction was found\n\treturn this.match.index;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the filter condition\n\tvar filterCondition = this.parser.source.substring(this.match.index + this.match[0].length,this.terminateIfMatch.index);\n\t// Advance the parser position to past the %>\n\tthis.parser.pos = this.terminateIfMatch.index + this.terminateIfMatch[0].length;\n\t// Parse the if clause\n\treturn this.parseIfClause(filterCondition);\n};\n\nexports.parseIfClause = function(filterCondition) {\n\t// Create the list widget\n\tvar listWidget = {\n\t\ttype: \"list\",\n\t\ttag: \"$list\",\n\t\tisBlock: this.is.block,\n\t\tchildren: [\n\t\t\t{\n\t\t\t\ttype: \"list-template\",\n\t\t\t\ttag: \"$list-template\"\n\t\t\t},\n\t\t\t{\n\t\t\t\ttype: \"list-empty\",\n\t\t\t\ttag: \"$list-empty\"\n\t\t\t}\n\t\t]\n\t};\n\t$tw.utils.addAttributeToParseTreeNode(listWidget,\"filter\",filterCondition);\n\t$tw.utils.addAttributeToParseTreeNode(listWidget,\"variable\",\"condition\");\n\t$tw.utils.addAttributeToParseTreeNode(listWidget,\"limit\",\"1\");\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Parse the body looking for else or endif\n\tvar reEndString = \"\\\\<\\\\%\\\\s*(endif)\\\\s*\\\\%\\\\>|\\\\<\\\\%\\\\s*(else)\\\\s*\\\\%\\\\>|\\\\<\\\\%\\\\s*(elseif)\\\\s+([\\\\s\\\\S]+?)\\\\%\\\\>\",\n\t\tex;\n\tif(hasLineBreak) {\n\t\tex = this.parser.parseBlocksTerminatedExtended(reEndString);\n\t} else {\n\t\tvar reEnd = new RegExp(reEndString,\"mg\");\n\t\tex = this.parser.parseInlineRunTerminatedExtended(reEnd,{eatTerminator: true});\n\t}\n\t// Put the body into the list template\n\tlistWidget.children[0].children = ex.tree;\n\t// Check for an else or elseif\n\tif(ex.match) {\n\t\tif(ex.match[1] === \"endif\") {\n\t\t\t// Nothing to do if we just found an endif\n\t\t} else if(ex.match[2] === \"else\") {\n\t\t\t// Check for an immediately following double linebreak\n\t\t\thasLineBreak = !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\t\t// If we found an else then we need to parse the body looking for the endif\n\t\t\tvar reEndString = \"\\\\<\\\\%\\\\s*(endif)\\\\s*\\\\%\\\\>\",\n\t\t\tex;\n\t\t\tif(hasLineBreak) {\n\t\t\t\tex = this.parser.parseBlocksTerminatedExtended(reEndString);\n\t\t\t} else {\n\t\t\t\tvar reEnd = new RegExp(reEndString,\"mg\");\n\t\t\t\tex = this.parser.parseInlineRunTerminatedExtended(reEnd,{eatTerminator: true});\n\t\t\t}\n\t\t\t// Put the parsed content inside the list empty template\n\t\t\tlistWidget.children[1].children = ex.tree;\n\t\t} else if(ex.match[3] === \"elseif\") {\n\t\t\t// Parse the elseif clause by reusing this parser, passing the new filter condition\n\t\t\tlistWidget.children[1].children = this.parseIfClause(ex.match[4]);\n\t\t}\n\t}\n\t// Return the parse tree node\n\treturn [listWidget];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/dash.js":{"title":"$:/core/modules/parsers/wikiparser/rules/dash.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"&ndash;\" : \"&mdash;\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js":{"title":"$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js":{"title":"$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js":{"title":"$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js":{"title":"$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js":{"title":"$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js":{"title":"$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/entity.js":{"title":"$:/core/modules/parsers/wikiparser/rules/entity.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: &copy;\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/extlink.js":{"title":"$:/core/modules/parsers/wikiparser/rules/extlink.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: https://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js":{"title":"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js":{"title":"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/fnprocdef.js":{"title":"$:/core/modules/parsers/wikiparser/rules/fnprocdef.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/fnprocdef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for function, procedure and widget definitions\n\n```\n\\function name(param:defaultvalue,param2:defaultvalue)\ndefinition text\n\\end\n\n\\procedure name(param:defaultvalue,param2:defaultvalue)\ndefinition text\n\\end\n\n\\widget $mywidget(param:defaultvalue,param2:defaultvalue)\ndefinition text\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"fnprocdef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\\\(function|procedure|widget)\\s+([^(\\s]+)\\((\\s*([^)]*))?\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar params = [];\n\tif(this.match[3]) {\n\t\tparams = $tw.utils.parseParameterDefinition(this.match[4]);\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[5]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = new RegExp(\"(\\\\r?\\\\n[^\\\\S\\\\n\\\\r]*\\\\\\\\end[^\\\\S\\\\n\\\\r]*(?:\" + $tw.utils.escapeRegExp(this.match[2]) + \")?(?:$|\\\\r?\\\\n))\",\"mg\");\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\tvar parseTreeNodes = [{\n\t\ttype: \"set\",\n\t\tattributes: {},\n\t\tchildren: [],\n\t\tparams: params\n\t}];\n\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],\"name\",this.match[2]);\n\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],\"value\",text);\n\tif(this.match[1] === \"function\") {\n\t\tparseTreeNodes[0].isFunctionDefinition = true;\n\t} else if(this.match[1] === \"procedure\") {\n\t\tparseTreeNodes[0].isProcedureDefinition = true;\n\t} else if(this.match[1] === \"widget\") {\n\t\tparseTreeNodes[0].isWidgetDefinition = true;\n\t}\n\tif(this.parser.configTrimWhiteSpace) {\n\t\tparseTreeNodes[0].configTrimWhiteSpace = true;\n\t}\n\treturn parseTreeNodes;\n};\n\n})();\n\t","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js":{"title":"$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/heading.js":{"title":"$:/core/modules/parsers/wikiparser/rules/heading.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/horizrule.js":{"title":"$:/core/modules/parsers/wikiparser/rules/horizrule.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/html.js":{"title":"$:/core/modules/parsers/wikiparser/rules/html.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\";\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\tvar reEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: {}, orderedAttributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {},\n\t\t\torderedAttributes: []\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$\\.]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Check that the tag is terminated by a space, / or >\n\tif(!$tw.utils.parseWhiteSpace(source,pos) && !(source.charAt(pos) === \"/\") && !(source.charAt(pos) === \">\") ) {\n\t\treturn null;\n\t}\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.orderedAttributes.push(attribute);\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$\\.]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/image.js":{"title":"$:/core/modules/parsers/wikiparser/rules/image.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[https://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [https://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [https://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|https://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/import.js":{"title":"$:/core/modules/parsers/wikiparser/rules/import.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/import.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for importing variable definitions\n\n```\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"import\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\\\import[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the filter terminated by a line break\n\tvar reMatch = /(.*)(?:$|\\r?\\n)/mg;\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\tthis.parser.pos = reMatch.lastIndex;\n\t// Parse tree nodes to return\n\treturn [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: match[1]}\n\t\t},\n\t\tchildren: []\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/list.js":{"title":"$:/core/modules/parsers/wikiparser/rules/list.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"div\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/macrocallblock.js":{"title":"$:/core/modules/parsers/wikiparser/rules/macrocallblock.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\tvar nextStart = startPos;\n\t// Try parsing at all possible macrocall openers until we match\n\twhile((nextStart = this.parser.source.indexOf(\"<<\",nextStart)) >= 0) {\n\t\tvar nextCall = $tw.utils.parseMacroInvocationAsTransclusion(this.parser.source,nextStart);\n\t\tif(nextCall) {\n\t\t\tvar c = this.parser.source.charAt(nextCall.end);\n\t\t\t// Ensure EOL after parsed macro\n\t\t\t// If we didn't need to support IE, we'd just use /(?:\\r?\\n|$)/ym\n\t\t\tif ((c === \"\") || (c === \"\\n\") || ((c === \"\\r\") && this.parser.source.charAt(nextCall.end+1) === \"\\n\")) {\n\t\t\t\tthis.nextCall = nextCall;\n\t\t\t\treturn nextStart;\n\t\t\t}\n\t\t}\n\t\tnextStart += 2;\n\t}\n\treturn undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar call = this.nextCall;\n\tcall.isBlock = true;\n\tthis.nextCall = null;\n\tthis.parser.pos = call.end;\n\treturn [call];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/macrocallinline.js":{"title":"$:/core/modules/parsers/wikiparser/rules/macrocallinline.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\tvar nextStart = startPos;\n\t// Try parsing at all possible macrocall openers until we match\n\twhile((nextStart = this.parser.source.indexOf(\"<<\",nextStart)) >= 0) {\n\t\tthis.nextCall = $tw.utils.parseMacroInvocationAsTransclusion(this.parser.source,nextStart);\n\t\tif(this.nextCall) {\n\t\t\treturn nextStart;\n\t\t}\n\t\tnextStart += 2;\n\t}\n\treturn undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar call = this.nextCall;\n\tthis.nextCall = null;\n\tthis.parser.pos = call.end;\n\treturn [call];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/macrodef.js":{"title":"$:/core/modules/parsers/wikiparser/rules/macrodef.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = new RegExp(\"(\\\\r?\\\\n[^\\\\S\\\\n\\\\r]*\\\\\\\\end[^\\\\S\\\\n\\\\r]*(?:\" + $tw.utils.escapeRegExp(this.match[1]) + \")?(?:$|\\\\r?\\\\n))\",\"mg\");\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\tvar parseTreeNodes = [{\n\t\ttype: \"set\",\n\t\tattributes: {},\n\t\tchildren: [],\n\t\tparams: params,\n\t\tisMacroDefinition: true\n\t}];\n\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],\"name\",this.match[1]);\n\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],\"value\",text);\n\treturn parseTreeNodes;\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/parameters.js":{"title":"$:/core/modules/parsers/wikiparser/rules/parameters.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/parameters.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for parameter definitions\n\n```\n\\parameters(param:defaultvalue,param2:defaultvalue)\ndefinition text\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"parameters\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\\\parameters\\s*\\(([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar params = $tw.utils.parseParameterDefinition(this.match[1]);\n\tvar attributes = Object.create(null),\n\t\torderedAttributes = [];\n\t$tw.utils.each(params,function(param) {\n\t\tvar name = param.name;\n\t\t// Parameter names starting with dollar must be escaped to double dollars for the parameters widget\n\t\tif(name.charAt(0) === \"$\") {\n\t\t\tname = \"$\" + name;\n\t\t}\n\t\tvar attribute = {name: name, type: \"string\", value: param[\"default\"] || \"\"};\n\t\tattributes[name] = attribute;\n\t\torderedAttributes.push(attribute);\n\t});\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"parameters\",\n\t\tattributes: attributes,\n\t\torderedAttributes: orderedAttributes\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/parsermode.js":{"title":"$:/core/modules/parsers/wikiparser/rules/parsermode.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/parsermode.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for parser mode specifications\n\n```\n\\parsermode block\n\\parsermode inline\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"parsermode\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\\\parsermode[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\tparserMode = undefined;\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\tparserMode = match[1];\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(parserMode !== undefined) {\n\t\tif(parserMode === \"block\") {\n\t\t\tthis.parser.parseAsInline = false;\n\t\t} else if(parserMode === \"inline\") {\n\t\t\tthis.parser.parseAsInline = true;\n\t\t}\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/prettyextlink.js":{"title":"$:/core/modules/parsers/wikiparser/rules/prettyextlink.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[https://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|https://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\tnode.attributes.rel = {type: \"string\", value: \"noopener noreferrer\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/prettylink.js":{"title":"$:/core/modules/parsers/wikiparser/rules/prettylink.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/quoteblock.js":{"title":"$:/core/modules/parsers/wikiparser/rules/quoteblock.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/rules.js":{"title":"$:/core/modules/parsers/wikiparser/rules/rules.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/styleblock.js":{"title":"$:/core/modules/parsers/wikiparser/rules/styleblock.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/styleinline.js":{"title":"$:/core/modules/parsers/wikiparser/rules/styleinline.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\tif(!classString && !stylesString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,\"tc-inline-style\");\n\t}\n\treturn [node];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/syslink.js":{"title":"$:/core/modules/parsers/wikiparser/rules/syslink.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp(\n\t\t\"~?\\\\$:\\\\/[\" +\n\t\t$tw.config.textPrimitives.anyLetter.substr(1,$tw.config.textPrimitives.anyLetter.length - 2) +\n\t\t\"\\/._-]+\",\n\t\t\"mg\"\n\t);\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/table.js":{"title":"$:/core/modules/parsers/wikiparser/rules/table.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/transcludeblock.js":{"title":"$:/core/modules/parsers/wikiparser/rules/transcludeblock.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?(?:\\|([^\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]),\n\t\tparams = this.match[3] ? this.match[3].split(\"|\") : [];\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t$tw.utils.each(params,function(paramValue,index) {\n\t\tvar name = \"\" + index;\n\t\ttranscludeNode.attributes[name] = {\n\t\t\tname: name,\n\t\t\ttype: \"string\",\n\t\t\tvalue: paramValue\n\t\t}\n\t});\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {name: \"tiddler\", type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes[\"$tiddler\"] = {name: \"$tiddler\", type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes[\"$tiddler\"] = {name: \"$tiddler\", type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes[\"$field\"] = {name: \"$field\", type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes[\"$index\"] = {name: \"$index\", type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/transcludeinline.js":{"title":"$:/core/modules/parsers/wikiparser/rules/transcludeinline.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?(?:\\|([^\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]),\n\t\tparams = this.match[3] ? this.match[3].split(\"|\") : [];\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t$tw.utils.each(params,function(paramValue,index) {\n\t\tvar name = \"\" + index;\n\t\ttranscludeNode.attributes[name] = {\n\t\t\tname: name,\n\t\t\ttype: \"string\",\n\t\t\tvalue: paramValue\n\t\t}\n\t});\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {name: \"tiddler\", type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes[\"$tiddler\"] = {name: \"$tiddler\", type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes[\"$tiddler\"] = {name: \"$tiddler\", type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes[\"$field\"] = {name: \"$field\", type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes[\"$index\"] = {name: \"$index\", type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/typedblock.js":{"title":"$:/core/modules/parsers/wikiparser/rules/typedblock.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n  <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/whitespace.js":{"title":"$:/core/modules/parsers/wikiparser/rules/whitespace.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/whitespace.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for whitespace specifications\n\n```\n\\whitespace trim\n\\whitespace notrim\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"whitespace\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\\\whitespace[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\t$tw.utils.each(tokens,function(token) {\n\t\tswitch(token) {\n\t\t\tcase \"trim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = true;\n\t\t\t\tbreak;\n\t\t\tcase \"notrim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = false;\n\t\t\t\tbreak;\n\t\t}\n\t});\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/wikilink.js":{"title":"$:/core/modules/parsers/wikiparser/rules/wikilink.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/rules/wikilinkprefix.js":{"title":"$:/core/modules/parsers/wikiparser/rules/wikilinkprefix.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilinkprefix.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for suppressed wiki links. For example:\n\n```\n~SuppressedLink\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilinkprefix\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the wikilink\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the link without unwikilink character as plain text\n\treturn [{type: \"text\", text: linkText.substr(1)}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/core/modules/parsers/wikiparser/wikiparser.js":{"title":"$:/core/modules/parsers/wikiparser/wikiparser.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\t{type: \"macro\", macro: <TBD>} - indirect through a macro invocation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\ntype: content type of text\ntext: text to be parsed\noptions: see below:\n\tparseAsInline: true to parse text as inline instead of block\n\twiki: reference to wiki to use\n\t_canonical_uri: optional URI of content if text is missing or empty\n\tconfigTrimWhiteSpace: true to trim whitespace\n*/\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Flag for ignoring whitespace\n\tthis.configTrimWhiteSpace = options.configTrimWhiteSpace !== undefined ? options.configTrimWhiteSpace : false;\n\t// Parser mode\n\tthis.parseAsInline = options.parseAsInline;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Start with empty output\n\tthis.tree = [];\n\t// Assemble the rule classes we're going to use\n\tvar pragmaRuleClasses, blockRuleClasses, inlineRuleClasses;\n\tif(options.rules) {\n\t\tpragmaRuleClasses = options.rules.pragma;\n\t\tblockRuleClasses = options.rules.block;\n\t\tinlineRuleClasses = options.rules.inline;\n\t} else {\n\t\t// Setup the rule classes if we don't have them already\n\t\tif(!this.pragmaRuleClasses) {\n\t\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t\t}\n\t\tpragmaRuleClasses = this.pragmaRuleClasses;\n\t\tif(!this.blockRuleClasses) {\n\t\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t\t}\n\t\tblockRuleClasses = this.blockRuleClasses;\n\t\tif(!this.inlineRuleClasses) {\n\t\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t\t}\n\t\tinlineRuleClasses = this.inlineRuleClasses;\n\t}\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(this.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safeMode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined  && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\tvar savedPos = this.pos;\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tthis.pos = savedPos;\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t\t// Skip whitespace after the pragma\n\t\tthis.skipWhitespace();\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\tvar start = this.pos;\n\tvar children = this.parseInlineRun(terminatorRegExp);\n\tvar end = this.pos;\n\treturn [{type: \"element\", tag: \"p\", children: children, start: start, end: end }];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered. Wrapper for parseBlocksTerminatedExtended that just returns the parse tree\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar ex = this.parseBlocksTerminatedExtended(terminatorRegExpString);\n\treturn ex.tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminatedExtended = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(terminatorRegExpString,\"mg\"),\n\t\tresult = {\n\t\t\ttree: []\n\t\t};\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t//  Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\tresult.tree.push.apply(result.tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t//  Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tresult.match = match;\n\t}\n\treturn result;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,nextMatch.matchIndex),this.pos,nextMatch.matchIndex);\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos),this.pos,this.sourceLength);\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\tvar ex = this.parseInlineRunTerminatedExtended(terminatorRegExp,options);\n\treturn ex.tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminatedExtended = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,terminatorMatch.index),this.pos,terminatorMatch.index);\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn {\n\t\t\t\t\tmatch: terminatorMatch,\n\t\t\t\t\ttree: tree\n\t\t\t\t};\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,inlineRuleMatch.matchIndex),this.pos,inlineRuleMatch.matchIndex);\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos),this.pos,this.sourceLength);\n\t}\n\tthis.pos = this.sourceLength;\n\treturn {\n\t\ttree: tree\n\t};\n};\n\n/*\nPush a text widget onto an array, respecting the configTrimWhiteSpace setting\n*/\nWikiParser.prototype.pushTextWidget = function(array,text,start,end) {\n\tif(this.configTrimWhiteSpace) {\n\t\ttext = $tw.utils.trim(text);\n\t}\n\tif(text) {\n\t\tarray.push({type: \"text\", text: text, start: start, end: end});\t\t\n\t}\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar target;\n\tif(type === \"only\") {\n\t\ttarget = true;\n\t} else if(type === \"except\") {\n\t\ttarget = false;\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif((names.indexOf(ruleArray[t].rule.name) === -1) === target) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n","type":"application/javascript","module-type":"parser"},"$:/core/modules/parsers/wikiparser/rules/wikirulebase.js":{"title":"$:/core/modules/parsers/wikiparser/rules/wikirulebase.js","text":"/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/pluginswitcher.js":{"title":"$:/core/modules/pluginswitcher.js","text":"/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\nonSwitch: callback when plugin is switched (single parameter is array of plugin titles)\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\tthis.onSwitch = options.onSwitch;\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = $tw.utils.parseJSONSafe(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Read the plugin info for the incoming plugins\n\tvar changes = $tw.wiki.readPluginInfo(plugins);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n\t// Call the switch handler\n\tif(this.onSwitch) {\n\t\tthis.onSwitch(plugins);\n\t}\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/saver-handler.js":{"title":"$:/core/modules/saver-handler.js","text":"/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.preloadDirty = options.preloadDirty || [];\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(self.preloadDirty,function(title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t});\n\t\tthis.numChanges = filteredChanges.length;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\";\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && ($tw.config.disableAutoSave || this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\")) {\n\t\treturn false;\n\t}\n\tvar\tvariables = options.variables || {},\n\t\ttemplate = (options.template || \n\t\t           this.wiki.getTiddlerText(\"$:/config/SaveWikiButton/Template\",\"$:/core/save/all\")).trim(),\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert($tw.language.getString(\"Error/WhileSaving\") + \":\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tvar self = this;\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t\t$tw.utils.each($tw.windows,function(win) {\n\t\t\t$tw.utils.toggleClass(win.document.body,\"tc-dirty\",self.isDirty());\n\t\t});\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/savers/andtidwiki.js":{"title":"$:/core/modules/savers/andtidwiki.js","text":"/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback,options) {\n\tvar filename = options && options.variables ? options.variables.filename : null;\n\tif (method === \"download\") {\n\t\t// Support download\n\t\tif (window.twi.saveDownload) {\n\t\t\ttry {\n\t\t\t\twindow.twi.saveDownload(text,filename);\n\t\t\t} catch(err) {\n\t\t\t\tif (err.message === \"Method not found\") {\n\t\t\t\t\twindow.twi.saveDownload(text);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tvar link = document.createElement(\"a\");\n\t\t\tlink.setAttribute(\"href\",\"data:text/plain,\" + encodeURIComponent(text));\n\t\t\tif (filename) {\n\t\t\t    link.setAttribute(\"download\",filename);\n\t\t\t}\n\t\t\tdocument.body.appendChild(link);\n\t\t\tlink.click();\n\t\t\tdocument.body.removeChild(link);\n\t\t}\n\t} else if (window.twi.saveWiki) {\n\t\t// Direct save in Tiddloid\n\t\twindow.twi.saveWiki(text);\n\t} else {\n\t\t// Get the pathname of this document\n\t\tvar pathname = $tw.utils.decodeURIComponentSafe(document.location.toString().split(\"#\")[0]);\n\t\t// Strip the file://\n\t\tif(pathname.indexOf(\"file://\") === 0) {\n\t\t\tpathname = pathname.substr(7);\n\t\t}\n\t\t// Strip any query or location part\n\t\tvar p = pathname.indexOf(\"?\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\tp = pathname.indexOf(\"#\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\t// Save the file\n\t\twindow.twi.saveFile(pathname,text);\n\t}\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/custom.js":{"title":"$:/core/modules/savers/custom.js","text":"/*\\\ntitle: $:/core/modules/savers/custom.js\ntype: application/javascript\nmodule-type: saver\n\nLooks for `window.$tw.customSaver` first on the current window, then\non the parent window (of an iframe). If present, the saver must define\n\tsave: function(text,method,callback) { ... }\nand the saver may define\n\tpriority: number\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar findSaver = function(window) {\n\ttry {\n\t\treturn window && window.$tw && window.$tw.customSaver;\n\t} catch (err) {\n\t\t// Catching the exception is the most reliable way to detect cross-origin iframe errors.\n\t\t// For example, instead of saying that `window.parent.$tw` is undefined, Firefox will throw\n\t\t//   Uncaught DOMException: Permission denied to access property \"$tw\" on cross-origin object\n\t\tconsole.log({ msg: \"custom saver is disabled\", reason: err });\n\t\treturn null;\n\t}\n}\nvar saver = findSaver(window) || findSaver(window.parent) || {};\n\nvar CustomSaver = function(wiki) {\n};\n\nCustomSaver.prototype.save = function(text,method,callback) {\n\treturn saver.save(text, method, callback);\n};\n\n/*\nInformation about this saver\n*/\nCustomSaver.prototype.info = {\n\tname: \"custom\",\n\tpriority: saver.priority || 4000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!(saver.save);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new CustomSaver(wiki);\n};\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/download.js":{"title":"$:/core/modules/savers/download.js","text":"/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\t// We decode the pathname because document.location is URL encoded by the browser\n\t\t\tfilename = $tw.utils.decodeURIComponentSafe(document.location.pathname.substr(p+1));\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100\n};\n\nObject.defineProperty(DownloadSaver.prototype.info, \"capabilities\", {\n\tget: function() {\n\t\tvar capabilities = [\"save\", \"download\"];\n\t\tif(($tw.wiki.getTextReference(\"$:/config/DownloadSaver/AutoSave\") || \"\").toLowerCase() === \"yes\") {\n\t\t\tcapabilities.push(\"autosave\");\n\t\t}\n\t\treturn capabilities;\n\t}\n});\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/fsosaver.js":{"title":"$:/core/modules/savers/fsosaver.js","text":"/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/gitea.js":{"title":"$:/core/modules/savers/gitea.js","text":"/*\\\ntitle: $:/core/modules/savers/gitea.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the gitea\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GiteaSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGiteaSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/Gitea/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"Gitea\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/Gitea/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/Gitea/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/Gitea/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/Gitea/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/Gitea/ServerURL\") || \"https://gitea\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"token \" + password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar use_put = true;\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = $tw.utils.parseJSONSafe(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(sha === \"\"){\n\t\t\t\t\tuse_put = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: endpoint + \"/repos/\" + repo + \"/branches/\" + branch,\n\t\t\t\ttype: \"GET\",\n\t\t\t\theaders: headers,\n\t\t\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\t\t\tif(xhr.status === 404) {\n\t\t\t\t\t\tcallback(\"Please ensure the branch in the Gitea repo exists\");\n\t\t\t\t\t}else{\n\t\t\t\t\t\tdata[\"branch\"] = branch;\n\t\t\t\t\t\tself.upload(uri + filename, use_put?\"PUT\":\"POST\", headers, data, callback);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\nGiteaSaver.prototype.upload = function(uri,method,headers,data,callback) {\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: method,\n\t\theaders: headers,\n\t\tdata: JSON.stringify(data),\n\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar putResponseData = $tw.utils.parseJSONSafe(putResponseDataJson);\n\t\t\tcallback(null);\n\t\t}\n\t});\n};\n\n/*\nInformation about this saver\n*/\nGiteaSaver.prototype.info = {\n\tname: \"Gitea\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GiteaSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/github.js":{"title":"$:/core/modules/savers/github.js","text":"/*\\\ntitle: $:/core/modules/savers/github.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitHub v3 REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitHubSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitHubSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitHub/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"github\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitHub/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitHub/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitHub/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitHub/Branch\") || \"main\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitHub/ServerURL\") || \"https://api.github.com\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/vnd.github.v3+json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + $tw.utils.base64Encode(username + \":\" + password),\n\t\t\t\"If-None-Match\": \"\"\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = $tw.utils.parseJSONSafe(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a PUT request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + filename,\n\t\t\t\ttype: \"PUT\",\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = $tw.utils.parseJSONSafe(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitHubSaver.prototype.info = {\n\tname: \"github\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitHubSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/gitlab.js":{"title":"$:/core/modules/savers/gitlab.js","text":"/*\\\ntitle: $:/core/modules/savers/gitlab.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitLab REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: true */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitLabSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitLabSaver.prototype.save = function(text,method,callback) {\n\t/* See https://docs.gitlab.com/ee/api/repository_files.html */\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitLab/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"gitlab\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitLab/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitLab/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitLab/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitLab/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitLab/ServerURL\") || \"https://gitlab.com/api/v4\",\n\t\theaders = {\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Private-Token\": password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/projects/\" + encodeURIComponent(repo) + \"/repository/\";\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri + \"tree/?path=\" + encodeURIComponent(path.replace(/^\\/+|\\/$/g, '')) + \"&branch=\" + encodeURIComponent(branch.replace(/^\\/+|\\/$/g, '')),\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar requestType = \"POST\";\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = $tw.utils.parseJSONSafe(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\trequestType = \"PUT\";\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tcommit_message: $tw.language.getString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: text,\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + \"files/\" + encodeURIComponent(path.replace(/^\\/+/, '') + filename),\n\t\t\t\ttype: requestType,\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = $tw.utils.parseJSONSafe(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitLabSaver.prototype.info = {\n\tname: \"gitlab\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitLabSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/manualdownload.js":{"title":"$:/core/modules/savers/manualdownload.js","text":"/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/msdownload.js":{"title":"$:/core/modules/savers/msdownload.js","text":"/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/put.js":{"title":"$:/core/modules/savers/put.js","text":"/*\\\ntitle: $:/core/modules/savers/put.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by performing a PUT request to the server\n\nWorks with any server which accepts a PUT request\nto the current URL, such as a WebDAV server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRetrieve ETag if available\n*/\nvar retrieveETag = function(self) {\n\tvar headers = {\n\t\tAccept: \"*/*;charset=UTF-8\"\n\t};\n\t$tw.utils.httpRequest({\n\t\turl: self.uri(),\n\t\ttype: \"HEAD\",\n\t\theaders: headers,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvar etag = xhr.getResponseHeader(\"ETag\");\n\t\t\tif(!etag) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tself.etag = etag.replace(/^W\\//,\"\");\n\t\t}\n\t});\n};\n\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar PutSaver = function(wiki) {\n\tthis.wiki = wiki;\n\tvar self = this;\n\tvar uri = this.uri();\n\t// Async server probe. Until probe finishes, save will fail fast\n\t// See also https://github.com/Jermolene/TiddlyWiki5/issues/2276\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"OPTIONS\",\n\t\tcallback: function(err,data,xhr) {\n\t\t\t// Check DAV header http://www.webdav.org/specs/rfc2518.html#rfc.section.9.1\n\t\t\tif(!err) {\n\t\t\t\tself.serverAcceptsPuts = xhr.status === 200 && !!xhr.getResponseHeader(\"dav\");\n\t\t\t}\n\t\t}\n\t});\n\tretrieveETag(this);\n};\n\nPutSaver.prototype.uri = function() {\n\treturn document.location.toString().split(\"#\")[0];\n};\n\n// TODO: in case of edit conflict\n// Prompt: Do you want to save over this? Y/N\n// Merging would be ideal, and may be possible using future generic merge flow\nPutSaver.prototype.save = function(text,method,callback) {\n\tif(!this.serverAcceptsPuts) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tvar headers = {\n\t\t\"Content-Type\": \"text/html;charset=UTF-8\"\n\t};\n\tif(this.etag) {\n\t\theaders[\"If-Match\"] = this.etag;\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\t$tw.utils.httpRequest({\n\t\turl: this.uri(),\n\t\ttype: \"PUT\",\n\t\theaders: headers,\n\t\tdata: text,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\tvar status = xhr.status,\n\t\t\t\t\terrorMsg = err;\n\t\t\t\tif(status === 412) { // file changed on server\n\t\t\t\t\terrorMsg = $tw.language.getString(\"Error/PutEditConflict\");\n\t\t\t\t} else if(status === 401) { // authentication required\n\t\t\t\t\terrorMsg = $tw.language.getString(\"Error/PutUnauthorized\");\n\t\t\t\t} else if(status === 403) { // permission denied\n\t\t\t\t\terrorMsg = $tw.language.getString(\"Error/PutForbidden\");\n\t\t\t\t}\n\t\t\t\tif (xhr.responseText) {\n\t\t\t\t\t// treat any server response like a plain text error explanation\n\t\t\t\t\terrorMsg = errorMsg + \"\\n\\n\" + xhr.responseText;\n\t\t\t\t}\n\t\t\t\tcallback(errorMsg); // fail\n\t\t\t} else {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t\tif(self.etag == null) {\n\t\t\t\t\tretrieveETag(self);\n\t\t\t\t}\n\t\t\t\tcallback(null); // success\n\t\t\t}\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nPutSaver.prototype.info = {\n\tname: \"put\",\n\tpriority: 2000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn /^https?:/.test(location.protocol);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new PutSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/tiddlyfox.js":{"title":"$:/core/modules/savers/tiddlyfox.js","text":"/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",$tw.utils.decodeURIComponentSafe(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/tiddlyie.js":{"title":"$:/core/modules/savers/tiddlyie.js","text":"/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/twedit.js":{"title":"$:/core/modules/savers/twedit.js","text":"/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = $tw.utils.decodeURIComponentSafe(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback($tw.language.getString(\"Error/SavingToTWEdit\") + \": \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/savers/upload.js":{"title":"$:/core/modules/savers/upload.js","text":"/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\tuploadWithUrlOnly = this.wiki.getTextReference(\"$:/UploadWithUrlOnly\") || \"no\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif (uploadWithUrlOnly === \"yes\") {\n\t\t// The url is good enough. No need for a username and password.\n\t\t// Assume the server uses some other kind of auth mechanism.\n\t\tif(!url || url.toString().trim() === \"\") {\n\t\t\treturn false;\n\t\t}\n\t}\n\telse {\n\t\t// Require username and password to be present.\n\t\t// Assume the server uses the standard UploadPlugin username/password.\n\t\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback($tw.language.getString(\"Error/Caption\") + \":\" + ex);\n\t}\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n","type":"application/javascript","module-type":"saver"},"$:/core/modules/server/authenticators/basic.js":{"title":"$:/core/modules/server/authenticators/basic.js","text":"/*\\\ntitle: $:/core/modules/server/authenticators/basic.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for WWW basic authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\");\n}\n\nfunction BasicAuthenticator(server) {\n\tthis.server = server;\n\tthis.credentialsData = [];\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nBasicAuthenticator.prototype.init = function() {\n\t// Read the credentials data\n\tthis.credentialsFilepath = this.server.get(\"credentials\");\n\tif(this.credentialsFilepath) {\n\t\tvar resolveCredentialsFilepath = path.resolve(this.server.boot.wikiPath,this.credentialsFilepath);\n\t\tif(fs.existsSync(resolveCredentialsFilepath) && !fs.statSync(resolveCredentialsFilepath).isDirectory()) {\n\t\t\tvar credentialsText = fs.readFileSync(resolveCredentialsFilepath,\"utf8\"),\n\t\t\t\tcredentialsData = $tw.utils.parseCsvStringWithHeader(credentialsText);\n\t\t\tif(typeof credentialsData === \"string\") {\n\t\t\t\treturn \"Error: \" + credentialsData + \" reading credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t\t} else {\n\t\t\t\tthis.credentialsData = credentialsData;\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"Error: Unable to load user credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t}\n\t}\n\t// Add the hardcoded username and password if specified\n\tif(this.server.get(\"username\") && this.server.get(\"password\")) {\n\t\tthis.credentialsData = this.credentialsData || [];\n\t\tthis.credentialsData.push({\n\t\t\tusername: this.server.get(\"username\"),\n\t\t\tpassword: this.server.get(\"password\")\n\t\t});\n\t}\n\treturn this.credentialsData.length > 0;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nBasicAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Extract the incoming username and password from the request\n\tvar header = request.headers.authorization || \"\";\n\tif(!header && state.allowAnon) {\n\t\t// If there's no header and anonymous access is allowed then we don't set authenticatedUsername\n\t\treturn true;\n\t}\n\tvar token = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tincomingUsername = parts[0],\n\t\tincomingPassword = parts[1];\n\t// Check that at least one of the credentials matches\n\tvar matchingCredentials = this.credentialsData.find(function(credential) {\n\t\treturn credential.username === incomingUsername && credential.password === incomingPassword;\n\t});\n\tif(matchingCredentials) {\n\t\t// If so, add the authenticated username to the request state\n\t\tstate.authenticatedUsername = incomingUsername;\n\t\treturn true;\n\t} else {\n\t\t// If not, return an authentication challenge\n\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\n\t\treturn false;\n\t}\n};\n\nexports.AuthenticatorClass = BasicAuthenticator;\n\n})();\n","type":"application/javascript","module-type":"authenticator"},"$:/core/modules/server/authenticators/header.js":{"title":"$:/core/modules/server/authenticators/header.js","text":"/*\\\ntitle: $:/core/modules/server/authenticators/header.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for trusted header authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction HeaderAuthenticator(server) {\n\tthis.server = server;\n\tthis.header = server.get(\"authenticated-user-header\") ? server.get(\"authenticated-user-header\").toLowerCase() : undefined;\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nHeaderAuthenticator.prototype.init = function() {\n\treturn !!this.header;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nHeaderAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Otherwise, authenticate as the username in the specified header\n\tvar username = request.headers[this.header];\n\tif(!username && !state.allowAnon) {\n\t\tresponse.writeHead(401,\"Authorization header required to login to '\" + state.server.servername + \"'\");\n\t\tresponse.end();\n\t\treturn false;\n\t} else {\n\t\t// authenticatedUsername will be undefined for anonymous users\n\t\tstate.authenticatedUsername = $tw.utils.decodeURIComponentSafe(username);\n\t\treturn true;\n\t}\n};\n\nexports.AuthenticatorClass = HeaderAuthenticator;\n\n})();\n","type":"application/javascript","module-type":"authenticator"},"$:/core/modules/server/routes/delete-tiddler.js":{"title":"$:/core/modules/server/routes/delete-tiddler.js","text":"/*\\\ntitle: $:/core/modules/server/routes/delete-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nDELETE /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"DELETE\";\n\nexports.path = /^\\/bags\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = $tw.utils.decodeURIComponentSafe(state.params[0]);\n\tstate.wiki.deleteTiddler(title);\n\tresponse.writeHead(204, \"OK\", {\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/get-favicon.js":{"title":"$:/core/modules/server/routes/get-favicon.js","text":"/*\\\ntitle: $:/core/modules/server/routes/get-favicon.js\ntype: application/javascript\nmodule-type: route\n\nGET /favicon.ico\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/favicon.ico$/;\n\nexports.handler = function(request,response,state) {\n\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\tstate.sendResponse(200,{\"Content-Type\": \"image/x-icon\"},buffer,\"base64\");\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/get-file.js":{"title":"$:/core/modules/server/routes/get-file.js","text":"/*\\\ntitle: $:/core/modules/server/routes/get-file.js\ntype: application/javascript\nmodule-type: route\n\nGET /files/:filepath\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/files\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar path = require(\"path\"),\n\t\tfs = require(\"fs\"),\n\t\tutil = require(\"util\"),\n\t\tsuppliedFilename = $tw.utils.decodeURIComponentSafe(state.params[0]),\n\t\tbaseFilename = path.resolve(state.boot.wikiPath,\"files\"),\n\t\tfilename = path.resolve(baseFilename,suppliedFilename),\n\t\textension = path.extname(filename);\n\t// Check that the filename is inside the wiki files folder\n\tif(path.relative(baseFilename,filename).indexOf(\"..\") !== 0) {\n\t\t// Send the file\n\t\tfs.readFile(filename,function(err,content) {\n\t\t\tvar status,content,type = \"text/plain\";\n\t\t\tif(err) {\n\t\t\t\tconsole.log(\"Error accessing file \" + filename + \": \" + err.toString());\n\t\t\t\tstatus = 404;\n\t\t\t\tcontent = \"File '\" + suppliedFilename + \"' not found\";\n\t\t\t} else {\n\t\t\t\tstatus = 200;\n\t\t\t\tcontent = content;\n\t\t\t\ttype = ($tw.config.fileExtensionInfo[extension] ? $tw.config.fileExtensionInfo[extension].type : \"application/octet-stream\");\n\t\t\t}\n\t\t\tstate.sendResponse(status,{\"Content-Type\": type},content);\n\t\t});\n\t} else {\n\t\tstate.sendResponse(404,{\"Content-Type\": \"text/plain\"},\"File '\" + suppliedFilename + \"' not found\");\n\t}\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/get-index.js":{"title":"$:/core/modules/server/routes/get-index.js","text":"/*\\\ntitle: $:/core/modules/server/routes/get-index.js\ntype: application/javascript\nmodule-type: route\n\nGET /\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/$/;\n\nexports.handler = function(request,response,state) {\n\tvar text = state.wiki.renderTiddler(state.server.get(\"root-render-type\"),state.server.get(\"root-tiddler\")),\n\t\tresponseHeaders = {\n\t\t\"Content-Type\": state.server.get(\"root-serve-type\")\n\t};\n\tstate.sendResponse(200,responseHeaders,text);\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/get-login-basic.js":{"title":"$:/core/modules/server/routes/get-login-basic.js","text":"/*\\\ntitle: $:/core/modules/server/routes/get-login-basic.js\ntype: application/javascript\nmodule-type: route\n\nGET /login-basic -- force a Basic Authentication challenge\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/login-basic$/;\n\nexports.handler = function(request,response,state) {\n\tif(!state.authenticatedUsername) {\n\t\t// Challenge if there's no username\n\t\tresponse.writeHead(401,{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\n\t} else {\n\t\t// Redirect to the root wiki if login worked\n\t\tvar location = ($tw.syncadaptor && $tw.syncadaptor.host)? $tw.syncadaptor.host: \"/\";\n\t\tresponse.writeHead(302,{\n\t\t\tLocation: location\n\t\t});\n\t\tresponse.end();\n\t}\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/get-status.js":{"title":"$:/core/modules/server/routes/get-status.js","text":"/*\\\ntitle: $:/core/modules/server/routes/get-status.js\ntype: application/javascript\nmodule-type: route\n\nGET /status\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/status$/;\n\nexports.handler = function(request,response,state) {\n\tvar text = JSON.stringify({\n\t\tusername: state.authenticatedUsername || state.server.get(\"anon-username\") || \"\",\n\t\tanonymous: !state.authenticatedUsername,\n\t\tread_only: !state.server.isAuthorized(\"writers\",state.authenticatedUsername),\n\t\tlogout_is_available: false,\n\t\tspace: {\n\t\t\trecipe: \"default\"\n\t\t},\n\t\ttiddlywiki_version: $tw.version\n\t});\n\tstate.sendResponse(200,{\"Content-Type\": \"application/json\"},text,\"utf8\");\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/get-tiddler-html.js":{"title":"$:/core/modules/server/routes/get-tiddler-html.js","text":"/*\\\ntitle: $:/core/modules/server/routes/get-tiddler-html.js\ntype: application/javascript\nmodule-type: route\n\nGET /:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/([^\\/]+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = $tw.utils.decodeURIComponentSafe(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar renderType = tiddler.getFieldString(\"_render_type\"),\n\t\t\trenderTemplate = tiddler.getFieldString(\"_render_template\");\n\t\t// Tiddler fields '_render_type' and '_render_template' overwrite\n\t\t// system wide settings for render type and template\n\t\tif(state.wiki.isSystemTiddler(title)) {\n\t\t\trenderType = renderType || state.server.get(\"system-tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"system-tiddler-render-template\");\n\t\t} else {\n\t\t\trenderType = renderType || state.server.get(\"tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"tiddler-render-template\");\n\t\t}\n\t\tvar text = state.wiki.renderTiddler(renderType,renderTemplate,{parseAsInline: true, variables: {currentTiddler: title}});\n\n\t\t// Naughty not to set a content-type, but it's the easiest way to ensure the browser will see HTML pages as HTML, and accept plain text tiddlers as CSS or JS\n\t\tstate.sendResponse(200,{},text,\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/get-tiddler.js":{"title":"$:/core/modules/server/routes/get-tiddler.js","text":"/*\\\ntitle: $:/core/modules/server/routes/get-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = $tw.utils.decodeURIComponentSafe(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title),\n\t\ttiddlerFields = {},\n\t\tknownFields = [\n\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t];\n\tif(tiddler) {\n\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\ttiddlerFields[name] = value;\n\t\t\t} else {\n\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t}\n\t\t});\n\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\ttiddlerFields.bag = \"default\";\n\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\tstate.sendResponse(200,{\"Content-Type\": \"application/json\"},JSON.stringify(tiddlerFields),\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/get-tiddlers-json.js":{"title":"$:/core/modules/server/routes/get-tiddlers-json.js","text":"/*\\\ntitle: $:/core/modules/server/routes/get-tiddlers-json.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers.json?filter=<filter>\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_FILTER = \"[all[tiddlers]!is[system]sort[title]]\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers.json$/;\n\nexports.handler = function(request,response,state) {\n\tvar filter = state.queryParameters.filter || DEFAULT_FILTER;\n\tif(state.wiki.getTiddlerText(\"$:/config/Server/AllowAllExternalFilters\") !== \"yes\") {\n\t\tif(state.wiki.getTiddlerText(\"$:/config/Server/ExternalFilters/\" + filter) !== \"yes\") {\n\t\t\tconsole.log(\"Blocked attempt to GET /recipes/default/tiddlers.json with filter: \" + filter);\n\t\t\tresponse.writeHead(403);\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t}\n\tif(state.wiki.getTiddlerText(\"$:/config/SyncSystemTiddlersFromServer\") === \"no\") {\n\t\tfilter += \"+[!is[system]]\";\n\t}\n\tvar excludeFields = (state.queryParameters.exclude || \"text\").split(\",\"),\n\t\ttitles = state.wiki.filterTiddlers(filter);\n\tvar tiddlers = [];\n\t$tw.utils.each(titles,function(title) {\n\t\tvar tiddler = state.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tvar tiddlerFields = tiddler.getFieldStrings({exclude: excludeFields});\n\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\ttiddlers.push(tiddlerFields);\n\t\t}\n\t});\n\tvar text = JSON.stringify(tiddlers);\n\tstate.sendResponse(200,{\"Content-Type\": \"application/json\"},text,\"utf8\");\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/routes/put-tiddler.js":{"title":"$:/core/modules/server/routes/put-tiddler.js","text":"/*\\\ntitle: $:/core/modules/server/routes/put-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nPUT /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"PUT\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = $tw.utils.decodeURIComponentSafe(state.params[0]),\n\tfields = $tw.utils.parseJSONSafe(state.data);\n\t// Pull up any subfields in the `fields` object\n\tif(fields.fields) {\n\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\tfields[name] = field;\n\t\t});\n\t\tdelete fields.fields;\n\t}\n\t// Remove any revision field\n\tif(fields.revision) {\n\t\tdelete fields.revision;\n\t}\n\t// If this is a skinny tiddler, it means the client never got the full\n\t// version of the tiddler to edit. So we must preserve whatever text\n\t// already exists on the server, or else we'll inadvertently delete it.\n\tif(fields._is_skinny !== undefined) {\n\t\tvar tiddler = state.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tfields.text = tiddler.fields.text;\n\t\t}\n\t\tdelete fields._is_skinny;\n\t}\n\tstate.wiki.addTiddler(new $tw.Tiddler(fields,{title: title}));\n\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\tresponse.writeHead(204, \"OK\",{\n\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n","type":"application/javascript","module-type":"route"},"$:/core/modules/server/server.js":{"title":"$:/core/modules/server/server.js","text":"/*\\\ntitle: $:/core/modules/server/server.js\ntype: application/javascript\nmodule-type: library\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\tquerystring = require(\"querystring\"),\n\t\tcrypto = require(\"crypto\"),\n\t\tzlib = require(\"zlib\");\n}\n\n/*\nA simple HTTP server with regexp-based routes\noptions: variables - optional hashmap of variables to set (a misnomer - they are really constant parameters)\n\t\t routes - optional array of routes to use\n\t\t wiki - reference to wiki object\n*/\nfunction Server(options) {\n\tvar self = this;\n\tthis.routes = options.routes || [];\n\tthis.authenticators = options.authenticators || [];\n\tthis.wiki = options.wiki;\n\tthis.boot = options.boot || $tw.boot;\n\t// Initialise the variables\n\tthis.variables = $tw.utils.extend({},this.defaultVariables);\n\tif(options.variables) {\n\t\tfor(var variable in options.variables) {\n\t\t\tif(options.variables[variable]) {\n\t\t\t\tthis.variables[variable] = options.variables[variable];\n\t\t\t}\n\t\t}\n\t}\n\t// Setup the default required plugins\n\tthis.requiredPlugins = this.get(\"required-plugins\").split(',');\n\t// Initialise CSRF\n\tthis.csrfDisable = this.get(\"csrf-disable\") === \"yes\";\n\t// Initialize Gzip compression\n\tthis.enableGzip = this.get(\"gzip\") === \"yes\";\n\t// Initialize browser-caching\n\tthis.enableBrowserCache = this.get(\"use-browser-cache\") === \"yes\";\n\t// Initialise authorization\n\tvar authorizedUserName;\n\tif(this.get(\"username\") && this.get(\"password\")) {\n\t\tauthorizedUserName = this.get(\"username\");\n\t} else if(this.get(\"credentials\")) {\n\t\tauthorizedUserName = \"(authenticated)\";\n\t} else {\n\t\tauthorizedUserName = \"(anon)\";\n\t}\n\tthis.authorizationPrincipals = {\n\t\treaders: (this.get(\"readers\") || authorizedUserName).split(\",\").map($tw.utils.trim),\n\t\twriters: (this.get(\"writers\") || authorizedUserName).split(\",\").map($tw.utils.trim)\n\t}\n\tif(this.get(\"admin\") || authorizedUserName !== \"(anon)\") {\n\t\tthis.authorizationPrincipals[\"admin\"] = (this.get(\"admin\") || authorizedUserName).split(',').map($tw.utils.trim)\n\t}\n\t// Load and initialise authenticators\n\t$tw.modules.forEachModuleOfType(\"authenticator\", function(title,authenticatorDefinition) {\n\t\t// console.log(\"Loading authenticator \" + title);\n\t\tself.addAuthenticator(authenticatorDefinition.AuthenticatorClass);\n\t});\n\t// Load route handlers\n\t$tw.modules.forEachModuleOfType(\"route\", function(title,routeDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addRoute(routeDefinition);\n\t});\n\t// Initialise the http vs https\n\tthis.listenOptions = null;\n\tthis.protocol = \"http\";\n\tvar tlsKeyFilepath = this.get(\"tls-key\"),\n\t\ttlsCertFilepath = this.get(\"tls-cert\"),\n\t\ttlsPassphrase = this.get(\"tls-passphrase\");\n\tif(tlsCertFilepath && tlsKeyFilepath) {\n\t\tthis.listenOptions = {\n\t\t\tkey: fs.readFileSync(path.resolve(this.boot.wikiPath,tlsKeyFilepath),\"utf8\"),\n\t\t\tcert: fs.readFileSync(path.resolve(this.boot.wikiPath,tlsCertFilepath),\"utf8\"),\n\t\t\tpassphrase: tlsPassphrase || ''\n\t\t};\n\t\tthis.protocol = \"https\";\n\t}\n\tthis.transport = require(this.protocol);\n\t// Name the server and init the boot state\n\tthis.servername = $tw.utils.transliterateToSafeASCII(this.get(\"server-name\") || this.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\");\n\tthis.boot.origin = this.get(\"origin\")? this.get(\"origin\"): this.protocol+\"://\"+this.get(\"host\")+\":\"+this.get(\"port\");\n\tthis.boot.pathPrefix = this.get(\"path-prefix\") || \"\";\n}\n\n/*\nSend a response to the client. This method checks if the response must be sent\nor if the client alrady has the data cached. If that's the case only a 304\nresponse will be transmitted and the browser will use the cached data.\nOnly requests with status code 200 are considdered for caching.\nrequest: request instance passed to the handler\nresponse: response instance passed to the handler\nstatusCode: stauts code to send to the browser\nheaders: response headers (they will be augmented with an `Etag` header)\ndata: the data to send (passed to the end method of the response instance)\nencoding: the encoding of the data to send (passed to the end method of the response instance)\n*/\nfunction sendResponse(request,response,statusCode,headers,data,encoding) {\n\tif(this.enableBrowserCache && (statusCode == 200)) {\n\t\tvar hash = crypto.createHash('md5');\n\t\t// Put everything into the hash that could change and invalidate the data that\n\t\t// the browser already stored. The headers the data and the encoding.\n\t\thash.update(data);\n\t\thash.update(JSON.stringify(headers));\n\t\tif(encoding) {\n\t\t\thash.update(encoding);\n\t\t}\n\t\tvar contentDigest = hash.digest(\"hex\");\n\t\t// RFC 7232 section 2.3 mandates for the etag to be enclosed in quotes\n\t\theaders[\"Etag\"] = '\"' + contentDigest + '\"';\n\t\theaders[\"Cache-Control\"] = \"max-age=0, must-revalidate\";\n\t\t// Check if any of the hashes contained within the if-none-match header\n\t\t// matches the current hash.\n\t\t// If one matches, do not send the data but tell the browser to use the\n\t\t// cached data.\n\t\t// We do not implement \"*\" as it makes no sense here.\n\t\tvar ifNoneMatch = request.headers[\"if-none-match\"];\n\t\tif(ifNoneMatch) {\n\t\t\tvar matchParts = ifNoneMatch.split(\",\").map(function(etag) {\n\t\t\t\treturn etag.replace(/^[ \"]+|[ \"]+$/g, \"\");\n\t\t\t});\n\t\t\tif(matchParts.indexOf(contentDigest) != -1) {\n\t\t\t\tresponse.writeHead(304,headers);\n\t\t\t\tresponse.end();\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n\t/*\n\tIf the gzip=yes is set, check if the user agent permits compression. If so,\n\tcompress our response if the raw data is bigger than 2k. Compressing less\n\tdata is inefficient. Note that we use the synchronous functions from zlib\n\tto stay in the imperative style. The current `Server` doesn't depend on\n\tthis, and we may just as well use the async versions.\n\t*/\n\tif(this.enableGzip && (data.length > 2048)) {\n\t\tvar acceptEncoding = request.headers[\"accept-encoding\"] || \"\";\n\t\tif(/\\bdeflate\\b/.test(acceptEncoding)) {\n\t\t\theaders[\"Content-Encoding\"] = \"deflate\";\n\t\t\tdata = zlib.deflateSync(data);\n\t\t} else if(/\\bgzip\\b/.test(acceptEncoding)) {\n\t\t\theaders[\"Content-Encoding\"] = \"gzip\";\n\t\t\tdata = zlib.gzipSync(data);\n\t\t}\n\t}\n\n\tresponse.writeHead(statusCode,headers);\n\tresponse.end(data,encoding);\n}\n\nServer.prototype.defaultVariables = {\n\tport: \"8080\",\n\thost: \"127.0.0.1\",\n\t\"required-plugins\": \"$:/plugins/tiddlywiki/filesystem,$:/plugins/tiddlywiki/tiddlyweb\",\n\t\"root-tiddler\": \"$:/core/save/all\",\n\t\"root-render-type\": \"text/plain\",\n\t\"root-serve-type\": \"text/html\",\n\t\"tiddler-render-type\": \"text/html\",\n\t\"tiddler-render-template\": \"$:/core/templates/server/static.tiddler.html\",\n\t\"system-tiddler-render-type\": \"text/plain\",\n\t\"system-tiddler-render-template\": \"$:/core/templates/wikified-tiddler\",\n\t\"debug-level\": \"none\",\n\t\"gzip\": \"no\",\n\t\"use-browser-cache\": \"no\"\n};\n\nServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nServer.prototype.addAuthenticator = function(AuthenticatorClass) {\n\t// Instantiate and initialise the authenticator\n\tvar authenticator = new AuthenticatorClass(this),\n\t\tresult = authenticator.init();\n\tif(typeof result === \"string\") {\n\t\t$tw.utils.error(\"Error: \" + result);\n\t} else if(result) {\n\t\t// Only use the authenticator if it initialised successfully\n\t\tthis.authenticators.push(authenticator);\n\t}\n};\n\nServer.prototype.findMatchingRoute = function(request,state) {\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(state.pathPrefix) {\n\t\t\tif(pathname.substr(0,state.pathPrefix.length) === state.pathPrefix) {\n\t\t\t\tpathname = pathname.substr(state.pathPrefix.length) || \"/\";\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nServer.prototype.methodMappings = {\n\t\"GET\": \"readers\",\n\t\"OPTIONS\": \"readers\",\n\t\"HEAD\": \"readers\",\n\t\"PUT\": \"writers\",\n\t\"POST\": \"writers\",\n\t\"DELETE\": \"writers\"\n};\n\n/*\nCheck whether a given user is authorized for the specified authorizationType (\"readers\" or \"writers\"). Pass null or undefined as the username to check for anonymous access\n*/\nServer.prototype.isAuthorized = function(authorizationType,username) {\n\tvar principals = this.authorizationPrincipals[authorizationType] || [];\n\treturn principals.indexOf(\"(anon)\") !== -1 || (username && (principals.indexOf(\"(authenticated)\") !== -1 || principals.indexOf(username) !== -1));\n}\n\nServer.prototype.requestHandler = function(request,response,options) {\n\toptions = options || {};\n\t// Compose the state object\n\tvar self = this;\n\tvar state = {};\n\tstate.wiki = options.wiki || self.wiki;\n\tstate.boot = options.boot || self.boot;\n\tstate.server = self;\n\tstate.urlInfo = url.parse(request.url);\n\tstate.queryParameters = querystring.parse(state.urlInfo.query);\n\tstate.pathPrefix = options.pathPrefix || this.get(\"path-prefix\") || \"\";\n\tstate.sendResponse = sendResponse.bind(self,request,response);\n\t// Get the principals authorized to access this resource\n\tstate.authorizationType = options.authorizationType || this.methodMappings[request.method] || \"readers\";\n\t// Check for the CSRF header if this is a write\n\tif(!this.csrfDisable && state.authorizationType === \"writers\" && request.headers[\"x-requested-with\"] !== \"TiddlyWiki\") {\n\t\tresponse.writeHead(403,\"'X-Requested-With' header required to login to '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Check whether anonymous access is granted\n\tstate.allowAnon = this.isAuthorized(state.authorizationType,null);\n\t// Authenticate with the first active authenticator\n\tif(this.authenticators.length > 0) {\n\t\tif(!this.authenticators[0].authenticateRequest(request,response,state)) {\n\t\t\t// Bail if we failed (the authenticator will have sent the response)\n\t\t\treturn;\n\t\t}\n\t}\n\t// Authorize with the authenticated username\n\tif(!this.isAuthorized(state.authorizationType,state.authenticatedUsername)) {\n\t\tresponse.writeHead(401,\"'\" + state.authenticatedUsername + \"' is not authorized to access '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Find the route that matches this path\n\tvar route = self.findMatchingRoute(request,state);\n\t// Optionally output debug info\n\tif(self.get(\"debug-level\") !== \"none\") {\n\t\tconsole.log(\"Request path:\",JSON.stringify(state.urlInfo));\n\t\tconsole.log(\"Request headers:\",JSON.stringify(request.headers));\n\t\tconsole.log(\"authenticatedUsername:\",state.authenticatedUsername);\n\t}\n\t// Return a 404 if we didn't find a route\n\tif(!route) {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Receive the request body if necessary and hand off to the route handler\n\tif(route.bodyFormat === \"stream\" || request.method === \"GET\" || request.method === \"HEAD\") {\n\t\t// Let the route handle the request stream itself\n\t\troute.handler(request,response,state);\n\t} else if(route.bodyFormat === \"string\" || !route.bodyFormat) {\n\t\t// Set the encoding for the incoming request\n\t\trequest.setEncoding(\"utf8\");\n\t\tvar data = \"\";\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata += chunk.toString();\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = data;\n\t\t\troute.handler(request,response,state);\n\t\t});\n\t} else if(route.bodyFormat === \"buffer\") {\n\t\tvar data = [];\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata.push(chunk);\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = Buffer.concat(data);\n\t\t\troute.handler(request,response,state);\n\t\t})\n\t} else {\n\t\tresponse.writeHead(400,\"Invalid bodyFormat \" + route.bodyFormat + \" in route \" + route.method + \" \" + route.path.source);\n\t\tresponse.end();\n\t}\n};\n\n/*\nListen for requests\nport: optional port number (falls back to value of \"port\" variable)\nhost: optional host address (falls back to value of \"host\" variable)\nprefix: optional prefix (falls back to value of \"path-prefix\" variable)\n*/\nServer.prototype.listen = function(port,host,prefix) {\n\tvar self = this;\n\t// Handle defaults for port and host\n\tport = port || this.get(\"port\");\n\thost = host || this.get(\"host\");\n\tprefix = prefix || this.get(\"path-prefix\") || \"\";\n\t// Check for the port being a string and look it up as an environment variable\n\tif(parseInt(port,10).toString() !== port) {\n\t\tport = process.env[port] || 8080;\n\t}\n\t// Warn if required plugins are missing\n\tvar missing = [];\n\tfor (var index=0; index<this.requiredPlugins.length; index++) {\n\t\tif (!this.wiki.getTiddler(this.requiredPlugins[index])) {\n\t\t\tmissing.push(this.requiredPlugins[index]);\n\t\t}\n\t}\n\tif(missing.length > 0) {\n\t\tvar error = \"Warning: Plugin(s) required for client-server operation are missing.\\n\"+\n\t\t\t\"\\\"\"+ missing.join(\"\\\", \\\"\")+\"\\\"\";\n\t\t$tw.utils.warning(error);\n\t}\n\t// Create the server\n\tvar server;\n\tif(this.listenOptions) {\n\t\tserver = this.transport.createServer(this.listenOptions,this.requestHandler.bind(this));\n\t} else {\n\t\tserver = this.transport.createServer(this.requestHandler.bind(this));\n\t}\n\t// Display the port number after we've started listening (the port number might have been specified as zero, in which case we will get an assigned port)\n\tserver.on(\"listening\",function() {\n\t\tvar address = server.address(),\n\t\t\turl = self.protocol + \"://\" + (address.family === \"IPv6\" ? \"[\" + address.address + \"]\" : address.address) + \":\" + address.port + prefix;\n\t\t$tw.utils.log(\"Serving on \" + url,\"brown/orange\");\n\t\t$tw.utils.log(\"(press ctrl-C to exit)\",\"red\");\n\t});\n\t// Listen\n\treturn server.listen(port,host);\n};\n\nexports.Server = Server;\n\n})();\n","type":"application/javascript","module-type":"library"},"$:/core/modules/browser-messaging.js":{"title":"$:/core/modules/browser-messaging.js","text":"/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\");\n\t\tiframeInfo = {\n\t\t\turl: url,\n\t\t\tstatus: \"loading\",\n\t\t\tdomNode: iframe\n\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tiframe.setAttribute(\"library\",\"true\");\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\n/*\nUnload library iframe for given url\n*/\nfunction unloadIFrame(url){\n\tvar iframes = document.getElementsByTagName('iframe');\n\tfor(var t=iframes.length-1; t--; t>=0) {\n\t\tvar iframe = iframes[t];\n\t\tif(iframe.getAttribute(\"library\") === \"true\" &&\n\t\t  iframe.getAttribute(\"src\") === url) {\n\t\t\tiframe.parentNode.removeChild(iframe);\n\t\t}\n\t}\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for widget messages to control unloading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-unload-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\t$tw.browserMessaging.iframeInfoMap[url] = undefined;\n\t\tif(url) {\n\t\t\tunloadIFrame(url);\n\t\t\t$tw.utils.each(\n\t\t\t\t$tw.wiki.filterTiddlers(\"[[$:/temp/ServerConnection/\" + url + \"]] [prefix[$:/temp/RemoteAssetInfo/\" + url + \"/]]\"),\n\t\t\t\tfunction(title) {\n\t\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\t// console.log(\"browser-messaging: \",document.location.toString())\n\t\t// console.log(\"browser-messaging: Received message from\",event.origin);\n\t\t// console.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = $tw.utils.parseJSONSafe(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = $tw.utils.parseJSONSafe(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/commands.js":{"title":"$:/core/modules/startup/commands.js","text":"/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/favicon.js":{"title":"$:/core/modules/startup/favicon.js","text":"/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",$tw.utils.makeDataUri(tiddler.fields.text,tiddler.fields.type,tiddler.fields._canonical_uri));\n\t}\n}\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/info.js":{"title":"$:/core/modules/startup/info.js","text":"/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_INFO_PLUGIN = \"$:/temp/info-plugin\";\n\nexports.startup = function() {\n\t// Function to bake the info plugin with new tiddlers\n\tvar updateInfoPlugin = function(tiddlerFieldsArray) {\n\t\t// Get the existing tiddlers\n\t\tvar json = $tw.wiki.getTiddlerData(TITLE_INFO_PLUGIN,{tiddlers: {}});\n\t\t// Add the new ones\n\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\tif(fields && fields.title) {\n\t\t\t\tjson.tiddlers[fields.title] = fields;\n\t\t\t}\n\t\t});\n\t\t// Bake the info tiddlers into a plugin. We use the non-standard plugin-type \"info\" because ordinary plugins are only registered asynchronously after being loaded dynamically\n\t\tvar fields = {\n\t\t\ttitle: TITLE_INFO_PLUGIN,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"info\",\n\t\t\ttext: JSON.stringify(json,null,$tw.config.preferences.jsonSpaces)\n\t\t};\n\t\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\n\t};\n\t// Collect up the info tiddlers\n\tvar tiddlerFieldsArray = [];\n\t// Give each info module a chance to provide as many info tiddlers as they want as an array, and give them a callback for dynamically updating them\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tArray.prototype.push.apply(tiddlerFieldsArray,moduleExports.getInfoTiddlerFields(updateInfoPlugin));\n\t\t}\n\t});\n\tupdateInfoPlugin(tiddlerFieldsArray);\n\tvar changes = $tw.wiki.readPluginInfo([TITLE_INFO_PLUGIN]);\n\t$tw.wiki.registerPluginTiddlers(\"info\",[TITLE_INFO_PLUGIN]);\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/load-modules.js":{"title":"$:/core/modules/startup/load-modules.js","text":"/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\tif($tw.browser) {\n\t\t$tw.modules.applyMethods(\"utils-browser\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.wiki.addIndexersToWiki();\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/password.js":{"title":"$:/core/modules/startup/password.js","text":"/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/plugins.js":{"title":"$:/core/modules/startup/plugins.js","text":"/*\\\ntitle: $:/core/modules/startup/plugins.js\ntype: application/javascript\nmodule-type: startup\n\nStartup logic concerned with managing plugins\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"plugins\";\nexports.after = [\"load-modules\"];\nexports.before = [\"startup\"];\nexports.synchronous = true;\n\nvar TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE = \"$:/status/RequireReloadDueToPluginChange\";\n\nvar PREFIX_CONFIG_REGISTER_PLUGIN_TYPE = \"$:/config/RegisterPluginType/\";\n\nexports.startup = function() {\n\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"no\"});\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Work out which of the changed tiddlers are plugins that we need to reregister\n\t\tvar changesToProcess = [],\n\t\t\trequireReloadDueToPluginChange = false;\n\t\t$tw.utils.each(Object.keys(changes),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\t\trequiresReload = $tw.wiki.doesPluginRequireReload(title);\n\t\t\tif(requiresReload) {\n\t\t\t\trequireReloadDueToPluginChange = true;\n\t\t\t} else if(tiddler) {\n\t\t\t\tvar pluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif($tw.wiki.getTiddlerText(PREFIX_CONFIG_REGISTER_PLUGIN_TYPE + (tiddler.fields[\"plugin-type\"] || \"\"),\"no\") === \"yes\") {\n\t\t\t\t\tchangesToProcess.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\t// Issue warning if any of the tiddlers require a reload\n\t\tif(requireReloadDueToPluginChange) {\n\t\t\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"yes\"});\n\t\t}\n\t\t// Read or delete the plugin info of the changed tiddlers\n\t\tif(changesToProcess.length > 0) {\n\t\t\tvar changes = $tw.wiki.readPluginInfo(changesToProcess);\n\t\t\tif(changes.modifiedPlugins.length > 0 || changes.deletedPlugins.length > 0) {\n\t\t\t\tvar changedShadowTiddlers = {};\n\t\t\t\t// Collect the shadow tiddlers of any deleted plugins\n\t\t\t\t$tw.utils.each(changes.deletedPlugins,function(pluginTitle) {\n\t\t\t\t\tvar pluginInfo = $tw.wiki.getPluginInfo(pluginTitle);\n\t\t\t\t\tif(pluginInfo) {\n\t\t\t\t\t\t$tw.utils.each(Object.keys(pluginInfo.tiddlers),function(title) {\n\t\t\t\t\t\t\tchangedShadowTiddlers[title] = true;\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\t// Collect the shadow tiddlers of any modified plugins\n\t\t\t\t$tw.utils.each(changes.modifiedPlugins,function(pluginTitle) {\n\t\t\t\t\tvar pluginInfo = $tw.wiki.getPluginInfo(pluginTitle);\n\t\t\t\t\tif(pluginInfo) {\n\t\t\t\t\t\t$tw.utils.each(Object.keys(pluginInfo.tiddlers),function(title) {\n\t\t\t\t\t\t\tchangedShadowTiddlers[title] = false;\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\t// (Re-)register any modified plugins\n\t\t\t\t$tw.wiki.registerPluginTiddlers(null,changes.modifiedPlugins);\n\t\t\t\t// Unregister any deleted plugins\n\t\t\t\t$tw.wiki.unregisterPluginTiddlers(null,changes.deletedPlugins);\n\t\t\t\t// Unpack the shadow tiddlers\n\t\t\t\t$tw.wiki.unpackPluginTiddlers();\n\t\t\t\t// Queue change events for the changed shadow tiddlers\n\t\t\t\t$tw.utils.each(Object.keys(changedShadowTiddlers),function(title) {\n\t\t\t\t\t$tw.wiki.enqueueTiddlerEvent(title,changedShadowTiddlers[title]);\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t});\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/render.js":{"title":"$:/core/modules/startup/render.js","text":"/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/RootTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar THROTTLE_REFRESH_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleWidgetNode.assignedStyles = $tw.styleContainer.textContent;\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleWidgetNode.assignedStyles;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\tvar newStyles = $tw.styleContainer.textContent;\n\t\t\tif(newStyles !== $tw.styleWidgetNode.assignedStyles) {\n\t\t\t\t$tw.styleWidgetNode.assignedStyles = newStyles;\n\t\t\t\t$tw.styleElement.innerHTML = $tw.styleWidgetNode.assignedStyles;\n\t\t\t}\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget, recursionMarker: \"no\"});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n   \t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t})();\n\t// Remove any splash screen elements\n\tvar removeList = document.querySelectorAll(\".tc-remove-when-wiki-loaded\");\n\t$tw.utils.each(removeList,function(removeItem) {\n\t\tif(removeItem.parentNode) {\n\t\t\tremoveItem.parentNode.removeChild(removeItem);\n\t\t}\n\t});\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.hooks.invokeHook(\"th-page-refreshing\");\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only tiddlers that are throttled have changed\n\t\tvar onlyThrottledTiddlersHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!$tw.wiki.isVolatileTiddler(title) && (!tiddler || !(tiddler.hasField(\"draft.of\") || tiddler.hasField(\"throttle.refresh\")))) {\n\t\t\t\tonlyThrottledTiddlersHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyThrottledTiddlersHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = THROTTLE_REFRESH_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n\t// Run any post-render startup actions\n\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/PostRender\");\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/rootwidget.js":{"title":"$:/core/modules/startup/rootwidget.js","text":"/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the HTTP client event handler\n\t$tw.httpClient = new $tw.utils.HttpClient();\n\tvar getPropertiesWithPrefix = function(properties,prefix) {\n\t\tvar result = Object.create(null);\n\t\t$tw.utils.each(properties,function(value,name) {\n\t\t\tif(name.indexOf(prefix) === 0) {\n\t\t\t\tresult[name.substring(prefix.length)] = properties[name];\n\t\t\t}\n\t\t});\n\t\treturn result;\n\t};\n\t$tw.rootWidget.addEventListener(\"tm-http-request\",function(event) {\n\t\tvar params = event.paramObject || {};\n\t\t$tw.httpClient.initiateHttpRequest({\n\t\t\twiki: event.widget.wiki,\n\t\t\turl: params.url,\n\t\t\tmethod: params.method,\n\t\t\tbody: params.body,\n\t\t\tbinary: params.binary,\n\t\t\toncompletion: params.oncompletion,\n\t\t\tonprogress: params.onprogress,\n\t\t\tbindStatus: params[\"bind-status\"],\n\t\t\tbindProgress: params[\"bind-progress\"],\n\t\t\tvariables: getPropertiesWithPrefix(params,\"var-\"),\n\t\t\theaders: getPropertiesWithPrefix(params,\"header-\"),\n\t\t\tpasswordHeaders: getPropertiesWithPrefix(params,\"password-header-\"),\n\t\t\tqueryStrings: getPropertiesWithPrefix(params,\"query-\"),\n\t\t\tpasswordQueryStrings: getPropertiesWithPrefix(params,\"password-query-\")\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-http-cancel-all-requests\",function(event) {\n\t\t$tw.httpClient.cancelAllHttpRequests();\n\t});\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject, event: event});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-show-switcher\",function(event) {\n\t\t$tw.modal.display(\"$:/core/ui/SwitcherModal\",{variables: event.paramObject, event: event});\n\t});\n\t// Install the notification  mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the copy-to-clipboard  mechanism\n\t$tw.rootWidget.addEventListener(\"tm-copy-to-clipboard\",function(event) {\n\t\t$tw.utils.copyToClipboard(event.param);\n\t});\n\t// Install the tm-focus-selector message\n\t$tw.rootWidget.addEventListener(\"tm-focus-selector\",function(event) {\n\t\tvar selector = event.param || \"\",\n\t\t\telement,\n\t\t    \tbaseElement = event.event && event.event.target ? event.event.target.ownerDocument : document;\n\t\telement = $tw.utils.querySelectorSafe(selector,baseElement);\n\t\tif(element && element.focus) {\n\t\t\telement.focus(event.paramObject);\n\t\t}\n\t});\n\t// Install the tm-rename-tiddler and tm-relink-tiddler messages\n\tvar makeRenameHandler = function(method) {\n\t\treturn function(event) {\n\t\t\tvar options = {},\n\t\t\t\tparamObject = event.paramObject || {},\n\t\t\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\t\t\tto = paramObject.to;\n\t\t\toptions.dontRenameInTags = (paramObject.renameInTags === \"false\" || paramObject.renameInTags === \"no\") ? true : false;\n\t\t\toptions.dontRenameInLists = (paramObject.renameInLists === \"false\" || paramObject.renameInLists === \"no\") ? true : false;\n\t\t\t$tw.wiki[method](from,to,options);\n\t\t};\n\t};\n\t$tw.rootWidget.addEventListener(\"tm-rename-tiddler\",makeRenameHandler(\"renameTiddler\"));\n\t$tw.rootWidget.addEventListener(\"tm-relink-tiddler\",makeRenameHandler(\"relinkTiddler\"));\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tvar fullScreenDocument = event.event ? event.event.target.ownerDocument : document;\n\t\t\tif(event.param === \"enter\") {\n\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t} else if(event.param === \"exit\") {\n\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tif(fullScreenDocument[fullscreen._fullscreenElement]) {\n\t\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t\t} else {\n\t\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup.js":{"title":"$:/core/modules/startup.js","text":"/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\t// Minimal browser detection\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t\t$tw.browser.isFirefox = !!document.mozFullScreenEnabled;\n\t\t// 2023-07-21 Edge returns UA below. So we use \"isChromeLike\"\n\t\t//'mozilla/5.0 (windows nt 10.0; win64; x64) applewebkit/537.36 (khtml, like gecko) chrome/114.0.0.0 safari/537.36 edg/114.0.1823.82'\n\t\t$tw.browser.isChromeLike = navigator.userAgent.toLowerCase().indexOf(\"chrome\") > -1;\n\t\t$tw.browser.hasTouch = !!window.matchMedia && window.matchMedia(\"(pointer: coarse)\").matches;\n\t\t$tw.browser.isMobileChrome = $tw.browser.isChromeLike && $tw.browser.hasTouch;\n\t}\n\t// Platform detection\n\t$tw.platform = {};\n\tif($tw.browser) {\n\t\t$tw.platform.isMac = /Mac/.test(navigator.platform);\n\t\t$tw.platform.isWindows = /win/i.test(navigator.platform);\n\t\t$tw.platform.isLinux = /Linux/i.test(navigator.platform);\n\t} else {\n\t\tswitch(require(\"os\").platform()) {\n\t\t\tcase \"darwin\":\n\t\t\t\t$tw.platform.isMac = true;\n\t\t\t\tbreak;\n\t\t\tcase \"win32\":\n\t\t\t\t$tw.platform.isWindows = true;\n\t\t\t\tbreak;\n\t\t\tcase \"freebsd\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t\tcase \"linux\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t}\n\t}\n\t// Initialise version\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\t$tw.rootWidget = new widget.widget({\n\t\ttype: \"widget\",\n\t\tchildren: []\n\t},{\n\t\twiki: $tw.wiki,\n\t\tdocument: $tw.browser ? document : $tw.fakeDocument\n\t});\n\t// Execute any startup actions\n\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction\");\n\tif($tw.browser) {\n\t\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/Browser\");\n\t}\n\tif($tw.node) {\n\t\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/Node\");\n\t}\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-GB\"\n\t\t],\n\t\tonSwitch: function(plugins) {\n\t\t\tif($tw.browser) {\n\t\t\t\tvar pluginTiddler = $tw.wiki.getTiddler(plugins[0]);\n\t\t\t\tif(pluginTiddler) {\n\t\t\t\t\tdocument.documentElement.setAttribute(\"dir\",pluginTiddler.getFieldString(\"text-direction\") || \"auto\");\n\t\t\t\t} else {\n\t\t\t\t\tdocument.documentElement.removeAttribute(\"dir\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Kick off the keyboard manager\n\t$tw.keyboardManager = new $tw.KeyboardManager();\n\t// Listen for shortcuts\n\tif($tw.browser) {\n\t\t$tw.utils.addEventListeners(document,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t}\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({\n\t\t\twiki: $tw.wiki,\n\t\t\tsyncadaptor: $tw.syncadaptor,\n\t\t\tlogging: $tw.wiki.getTiddlerText('$:/config/SyncLogging', \"yes\") === \"yes\"\n\t\t});\n\t}\n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({\n\t\twiki: $tw.wiki,\n\t\tdirtyTracking: !$tw.syncadaptor,\n\t\tpreloadDirty: $tw.boot.preloadDirty || []\n\t});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/story.js":{"title":"$:/core/modules/startup/story.js","text":"/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\nvar CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD = \"$:/config/Navigation/Permalinkview/CopyToClipboard\"; // Can be \"yes\" (default) or \"no\"\nvar CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/Permalinkview/UpdateAddressBar\"; // Can be \"yes\" (default) or \"no\"\n\n\n// Links to help, if there is no param\nvar HELP_OPEN_EXTERNAL_WINDOW = \"http://tiddlywiki.com/#WidgetMessage%3A%20tm-open-external-window\";\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers({\n\t\tdisableHistory: $tw.boot.disableStartupNavigation\n\t});\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\tif(hash !== \"#\") {\n\t\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t\t}\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for tm-open-external-window message\n\t\t$tw.rootWidget.addEventListener(\"tm-open-external-window\",function(event) {\n\t\t\tvar paramObject = event.paramObject || {},\n\t\t\t\tstrUrl = event.param || HELP_OPEN_EXTERNAL_WINDOW,\n\t\t\t\tstrWindowName = paramObject.windowName,\n\t\t\t\tstrWindowFeatures = paramObject.windowFeatures;\n\t\t\twindow.open(strUrl, strWindowName, strWindowFeatures);\n\t\t});\n\t\t// Listen for the tm-print message\n\t\t$tw.rootWidget.addEventListener(\"tm-print\",function(event) {\n\t\t\t(event.event.view || window).print();\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\"\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\"\n\t\t\t});\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndisableHistory: if true $:/History is NOT updated\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = $tw.utils.decodeURIComponentSafe(hash.trim());\n\t\t} else {\n\t\t\ttarget = $tw.utils.decodeURIComponentSafe(hash.substr(0,split).trim());\n\t\t\tstoryFilter = $tw.utils.decodeURIComponentSafe(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// Update history\n\tvar story = new $tw.Story({\n\t\twiki: $tw.wiki,\n\t\tstoryTitle: DEFAULT_STORY_TITLE,\n\t\thistoryTitle: DEFAULT_HISTORY_TITLE\n\t});\n\tif(!options.disableHistory) {\n\t\t// If a target tiddler was specified add it to the history stack\n\t\tif(target && target !== \"\") {\n\t\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t\t}\n\t\t\tstory.addToHistory(target);\n\t\t} else if(storyList.length > 0) {\n\t\t\tstory.addToHistory(storyList[0]);\n\t\t}\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.copyToClipboard: \"permalink\", \"permaview\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\t// Get the story and the history stack\n\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\ttargetTiddler = \"\";\n\tif(options.targetTiddler) {\n\t\ttargetTiddler = options.targetTiddler;\n\t} else {\n\t\t// The target tiddler is the one at the top of the stack\n\t\tif(historyList.length > 0) {\n\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t}\n\t\t// Blank the target tiddler if it isn't present in the story\n\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\ttargetTiddler = \"\";\n\t\t}\n\t}\n\t// Assemble the location hash\n\tswitch(options.updateAddressBar) {\n\t\tcase \"permalink\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t\tbreak;\n\t}\n\t// Copy URL to the clipboard\n\tswitch(options.copyToClipboard) {\n\t\tcase \"permalink\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler));\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList)));\n\t\t\tbreak;\n\t}\n\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\tif(options.updateHistory === \"yes\") {\n\t\t\t// Assign the location hash so that history is updated\n\t\t\twindow.location.hash = $tw.locationHash;\n\t\t} else {\n\t\t\t// We use replace so that browser history isn't affected\n\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t}\n\t}\n}\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/startup/windows.js":{"title":"$:/core/modules/startup/windows.js","text":"/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\n$tw.windows = {};\n// Default template to use for new windows\nvar DEFAULT_WINDOW_TEMPLATE = \"$:/core/templates/single.tiddler.window\";\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\twindowTitle = paramObject.windowTitle || title,\n\t\t\twindowID = paramObject.windowID || title,\n\t\t\ttemplate = paramObject.template || DEFAULT_WINDOW_TEMPLATE,\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\ttop = paramObject.top,\n\t\t\tleft = paramObject.left,\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title, \"tv-window-id\": windowID});\n\t\t// Open the window\n\t\tvar srcWindow,\n\t\t\tsrcDocument;\n\t\t// In case that popup blockers deny opening a new window\n\t\ttry {\n\t\t\tsrcWindow = window.open(\"\",\"external-\" + windowID,\"scrollbars,width=\" + width + \",height=\" + height + (top ? \",top=\" + top : \"\" ) + (left ? \",left=\" + left : \"\" )),\n\t\t\tsrcDocument = srcWindow.document;\n\t\t}\n\t\tcatch(e) {\n\t\t\treturn;\n\t\t}\n\t\t$tw.windows[windowID] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\tsrcWindow.focus();\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = windowTitle;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete $tw.windows[windowID];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{\n\t\t\t\tdocument: $tw.fakeDocument,\n\t\t\t\tvariables: variables,\n\t\t\t\timportPageMacros: true}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\t// Listen for keyboard shortcuts\n\t\t$tw.utils.addEventListeners(srcDocument,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t\tsrcWindow.document.documentElement.addEventListener(\"click\",$tw.popup,true);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-close-window\",function(event) {\n\t\tvar windowID = event.param,\n\t\t\twin = $tw.windows[windowID];\n\t\t\tif(win) {\n\t\t\t\twin.close();\n\t\t\t}\n\t});\n\tvar closeAllWindows = function() {\n\t\t$tw.utils.each($tw.windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t}\n\t$tw.rootWidget.addEventListener(\"tm-close-all-windows\",closeAllWindows);\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(closeAllWindows);\n};\n\n})();\n","type":"application/javascript","module-type":"startup"},"$:/core/modules/story.js":{"title":"$:/core/modules/story.js","text":"/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/storyviews/classic.js":{"title":"$:/core/modules/storyviews/classic.js","text":"/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration()\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!targetElement || targetElement.nodeType === Node.TEXT_NODE) {\n\t\treturn;\n\t}\n\tif(duration) {\n\t\t// Scroll the node into view\n\t\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n\t} else {\n\t\ttargetElement.scrollIntoView();\n\t}\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!targetElement || targetElement.nodeType === Node.TEXT_NODE) {\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Reset the margin once the transition is over\n\t\tsetTimeout(function() {\n\t\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t\t{transition: \"none\"},\n\t\t\t\t{marginBottom: \"\"}\n\t\t\t]);\n\t\t},duration);\n\t\t// Set up the initial position of the element\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t// Transition to the final position\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t]);\n\t}\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode(),\n\t\t\tremoveElement = function() {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t};\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!targetElement || targetElement.nodeType === Node.TEXT_NODE) {\n\t\t\tremoveElement();\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar currWidth = targetElement.offsetWidth,\n\t\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Remove the dom nodes of the widget at the end of the transition\n\t\tsetTimeout(removeElement,duration);\n\t\t// Animate the closure\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"translateX(0px)\"},\n\t\t\t{marginBottom:  currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n};\n\nexports.classic = ClassicStoryView;\n\n})();\n","type":"application/javascript","module-type":"storyview"},"$:/core/modules/storyviews/pop.js":{"title":"$:/core/modules/storyviews/pop.js","text":"/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!targetElement || targetElement.nodeType === Node.TEXT_NODE) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!targetElement || targetElement.nodeType === Node.TEXT_NODE) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t\t$tw.utils.setStyle(widget.document.body,[\n\t\t\t{\"overflow-x\": \"\"}\n\t\t]);\n\t},duration);\n\t// Prevent the page from overscrolling due to the zoom factor\n\t$tw.utils.setStyle(widget.document.body,[\n\t\t{\"overflow-x\": \"hidden\"}\n\t]);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement && targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!targetElement || targetElement.nodeType === Node.TEXT_NODE) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n","type":"application/javascript","module-type":"storyview"},"$:/core/modules/storyviews/zoomin.js":{"title":"$:/core/modules/storyviews/zoomin.js","text":"/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\tthis.textNodeLogger = new $tw.utils.Logger(\"zoomin story river view\", {\n\t\tenable: true,\n\t\tcolour: 'red'\n\t});\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!targetElement) {\n\t\treturn;\n\t} else if (targetElement.nodeType === Node.TEXT_NODE) {\n\t\tthis.logTextNodeRoot(targetElement);\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx =  zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty =  zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn $tw.utils.querySelectorSafe(\".\" + targetClass,domNode);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!targetElement) {\n\t\treturn;\n\t} else if (targetElement.nodeType === Node.TEXT_NODE) {\n\t\tthis.logTextNodeRoot(targetElement);\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!targetElement || targetElement.nodeType === Node.TEXT_NODE) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\tif (toWidgetDomNode.nodeType === Node.TEXT_NODE) {\n\t\t\tthis.logTextNodeRoot(toWidgetDomNode);\n\t\t\ttoWidgetDomNode = null;\n\t\t} else {\n\t\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t\t{display: \"block\"},\n\t\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t\t{opacity: \"0\"},\n\t\t\t\t{zIndex: \"500\"}\n\t\t\t]);\n\t\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t\t}\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nZoominListView.prototype.logTextNodeRoot = function(node) {\n\tthis.textNodeLogger.log($tw.language.getString(\"Error/ZoominTextNode\") + \" \" + node.textContent);\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n","type":"application/javascript","module-type":"storyview"},"$:/core/modules/syncer.js":{"title":"$:/core/modules/syncer.js","text":"/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store and synchronises them to a remote data store represented as a \"sync adaptor\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDefaults\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleIsAnonymous = \"$:/status/IsAnonymous\";\nSyncer.prototype.titleIsReadOnly = \"$:/status/IsReadOnly\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSyncPollingInterval = \"$:/config/SyncPollingInterval\";\nSyncer.prototype.titleSyncDisableLazyLoading = \"$:/config/SyncDisableLazyLoading\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.titleSyncThrottleInterval = \"$:/config/SyncThrottleInterval\";\nSyncer.prototype.taskTimerInterval = 0.25 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.errorRetryInterval = 5 * 1000; // Interval to retry after an error\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\t// Save parameters\n\tthis.syncadaptor = options.syncadaptor;\n\tthis.disableUI = !!options.disableUI;\n\tthis.titleIsLoggedIn = options.titleIsLoggedIn || this.titleIsLoggedIn;\n\tthis.titleUserName = options.titleUserName || this.titleUserName;\n\tthis.titleSyncFilter = options.titleSyncFilter || this.titleSyncFilter;\n\tthis.titleSavedNotification = options.titleSavedNotification || this.titleSavedNotification;\n\tthis.taskTimerInterval = options.taskTimerInterval || this.taskTimerInterval;\n\tthis.throttleInterval = options.throttleInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncThrottleInterval,\"\"),10) || this.throttleInterval;\n\tthis.errorRetryInterval = options.errorRetryInterval || this.errorRetryInterval;\n\tthis.fallbackInterval = options.fallbackInterval || this.fallbackInterval;\n\tthis.pollTimerInterval = options.pollTimerInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncPollingInterval,\"\"),10) || this.pollTimerInterval;\n\tthis.logging = \"logging\" in options ? options.logging : true;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\")  + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\"),{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging,\n\t\tsaveHistory: true\n\t});\n\t// Make another logger for connection errors\n\tthis.loggerConnection = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\")  + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\") + \"-connection\",{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging\n\t});\n\t// Ask the syncadaptor to use the main logger\n\tif(this.syncadaptor.setLoggerSaveBuffer) {\n\t\tthis.syncadaptor.setLoggerSaveBuffer(this.logger);\n\t}\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\tthis.titlesToBeLoaded = {}; // Hashmap of titles of tiddlers that need loading from the server\n\tthis.titlesHaveBeenLazyLoaded = {}; // Hashmap of titles of tiddlers that have already been lazily loaded from the server\n\t// Timers\n\tthis.taskTimerId = null; // Timer for task dispatch\n\t// Number of outstanding requests\n\tthis.numTasksInProgress = 0;\n\t// True when we want to force an immediate sync from the server\n\tthis.forceSyncFromServer = false;\n\tthis.timestampLastSyncFromServer = new Date();\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Filter the changes to just include ones that are being synced\n\t\tvar filteredChanges = self.getSyncedTiddlers(function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t\tif(filteredChanges.length > 0) {\n\t\t\tself.processTaskQueue();\n\t\t} else {\n\t\t\t// Look for deletions of tiddlers we're already syncing\t\n\t\t\tvar outstandingDeletion = false\n\t\t\t$tw.utils.each(changes,function(change,title,object) {\n\t\t\t\tif(change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) {\n\t\t\t\t\toutstandingDeletion = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(outstandingDeletion) {\n\t\t\t\tself.processTaskQueue();\n\t\t\t}\n\t\t}\n\t});\n\t// Browser event handlers\n\tif($tw.browser && !this.disableUI) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function(event) {\n\t\t\tvar username = event && event.paramObject && event.paramObject.username,\n\t\t\t\tpassword = event && event.paramObject && event.paramObject.password;\n\t\t\tif(username && password) {\n\t\t\t\t// Login with username and password\n\t\t\t\tself.login(username,password,function() {});\n\t\t\t} else {\n\t\t\t\t// No username and password, so we display a prompt\n\t\t\t\tself.handleLoginEvent();\t\t\t\t\n\t\t\t}\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-copy-syncer-logs-to-clipboard\",function() {\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getSystemInfo() + \"\\n\\nLog:\\n\" + self.logger.getBuffer());\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tif(!this.disableUI && this.wiki.getTiddlerText(this.titleSyncDisableLazyLoading) !== \"yes\") {\n\t\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\t\tself.handleLazyLoadEvent(title);\n\t\t});\t\t\n\t}\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nShow a generic network error alert\n*/\nSyncer.prototype.displayError = function(msg,err) {\n\tif(err === ($tw.language.getString(\"Error/XMLHttpRequest\") + \": 0\")) {\n\t\tthis.loggerConnection.alert($tw.language.getString(\"Error/NetworkErrorAlert\"));\n\t\tthis.logger.log(msg + \":\",err);\n\t} else {\n\t\tthis.logger.alert(msg + \":\",err);\n\t}\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getSyncedTiddlers = function(source) {\n\treturn this.filterFn.call(this.wiki,source);\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getTiddlerRevision = function(title) {\n\tif(this.syncadaptor && this.syncadaptor.getTiddlerRevision) {\n\t\treturn this.syncadaptor.getTiddlerRevision(title);\n\t} else {\n\t\treturn this.wiki.getTiddler(title).fields.revision;\t\n\t} \n};\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\t// \"revision\" is the revision of the tiddler last seen on the server, and \"changecount\" is the corresponding local changecount\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.getSyncedTiddlers();\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tself.tiddlerInfo[title] = {\n\t\t\t\trevision: self.getTiddlerRevision(title),\n\t\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\t\tchangeCount: self.wiki.getChangeCount(title)\n\t\t\t};\n\t\t}\n\t});\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\tvar self = this;\n\tfunction checkIsDirty() {\n\t\t// Check tiddlers that are in the store and included in the filter function\n\t\tvar titles = self.getSyncedTiddlers();\n\t\tfor(var index=0; index<titles.length; index++) {\n\t\t\tvar title = titles[index],\n\t\t\t\ttiddlerInfo = self.tiddlerInfo[title];\n\t\t\tif(self.wiki.tiddlerExists(title)) {\n\t\t\t\tif(tiddlerInfo) {\n\t\t\t\t\t// If the tiddler is known on the server and has been modified locally then it needs to be saved to the server\n\t\t\t\t\tif(self.wiki.getChangeCount(title) > tiddlerInfo.changeCount) {\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the tiddler isn't known on the server then it needs to be saved to the server\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Check tiddlers that are known from the server but not currently in the store\n\t\ttitles = Object.keys(self.tiddlerInfo);\n\t\tfor(index=0; index<titles.length; index++) {\n\t\t\tif(!self.wiki.tiddlerExists(titles[index])) {\n\t\t\t\t// There must be a pending delete\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}\n\tvar dirtyStatus = checkIsDirty();\n\treturn dirtyStatus;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser && !this.disableUI) {\n\t\tvar dirty = this.isDirty();\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",dirty);\n\t\tif(!dirty) {\n\t\t\tthis.loggerConnection.clearAlerts();\n\t\t}\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: this.getTiddlerRevision(tiddlerFields.title),\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title)\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username,isReadOnly,isAnonymous) {\n\t\t\tif(err) {\n\t\t\t\tself.displayError(\"Get Status Error\",err);\n\t\t\t} else {\n\t\t\t\t// Set the various status tiddlers\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsReadOnly,text: isReadOnly ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsAnonymous,text: isAnonymous ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\t\tif(isLoggedIn) {\n\t\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tif(this.canSyncFromServer()) {\n\t\tthis.forceSyncFromServer = true;\n\t\tthis.processTaskQueue();\t\n\t}\n};\n\nSyncer.prototype.canSyncFromServer = function() {\n\treturn !!this.syncadaptor.getUpdatedTiddlers || !!this.syncadaptor.getSkinnyTiddlers;\n}\n\n/*\nForce load a tiddler from the server\n*/\nSyncer.prototype.enqueueLoadTiddler = function(title) {\n\tthis.titlesToBeLoaded[title] = true;\n\tthis.processTaskQueue();\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Ignore if the syncadaptor doesn't handle it\n\tif(!this.syncadaptor.supportsLazyLoading) {\n\t\treturn;\n\t}\n\t// Don't lazy load the same tiddler twice\n\tif(!this.titlesHaveBeenLazyLoaded[title]) {\n\t\t// Don't lazy load if the tiddler isn't included in the sync filter\n\t\tif(this.getSyncedTiddlers().indexOf(title) !== -1) {\n\t\t\t// Mark the tiddler as needing loading, and having already been lazily loaded\n\t\t\tthis.titlesToBeLoaded[title] = true;\n\t\t\tthis.titlesHaveBeenLazyLoaded[title] = true;\n\t\t\tthis.processTaskQueue();\n\t\t}\n\t}\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!err && !isLoggedIn) {\n\t\t\tif(self.syncadaptor && self.syncadaptor.displayLoginPrompt) {\n\t\t\t\tself.syncadaptor.displayLoginPrompt(self);\n\t\t\t} else {\n\t\t\t\tself.displayLoginPrompt();\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nDispay a password prompt\n*/\nSyncer.prototype.displayLoginPrompt = function() {\n\tvar self = this;\n\tvar promptInfo = $tw.passwordPrompt.createPrompt({\n\t\tserviceName: $tw.language.getString(\"LoginToTiddlySpace\"),\n\t\tcallback: function(data) {\n\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\tself.syncFromServer();\n\t\t\t});\n\t\t\treturn true; // Get rid of the password prompt\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(err,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.displayError(\"Logout Error\",err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nProcess the next task\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if the sync adaptor is fully initialised and we're not already performing\n\t// a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif((!this.syncadaptor.isReady || this.syncadaptor.isReady()) && this.numTasksInProgress === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(typeof task === \"object\" && task !== null) {\n\t\t\tthis.numTasksInProgress += 1;\n\t\t\ttask.run(function(err) {\n\t\t\t\tself.numTasksInProgress -= 1;\n\t\t\t\tif(err) {\n\t\t\t\t\tself.displayError(\"Sync error while processing \" + task.type + \" of '\" + task.title + \"'\",err);\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\tself.triggerTimeout(self.errorRetryInterval);\n\t\t\t\t} else {\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\t// Process the next task\n\t\t\t\t\tself.processTaskQueue.call(self);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// No task is ready so update the status\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// And trigger a timeout if there is a pending task\n\t\t\tif(task === true) {\n\t\t\t\tthis.triggerTimeout(this.taskTimerInterval);\n\t\t\t} else if(this.canSyncFromServer()) {\n\t\t\t\tthis.triggerTimeout(this.pollTimerInterval);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tthis.updateDirtyStatus();\n\t\tthis.triggerTimeout(this.taskTimerInterval);\n\t}\n};\n\nSyncer.prototype.triggerTimeout = function(interval) {\n\tvar self = this;\n\tif(this.taskTimerId) {\n\t\tclearTimeout(this.taskTimerId);\n\t}\n\tthis.taskTimerId = setTimeout(function() {\n\t\tself.taskTimerId = null;\n\t\tself.processTaskQueue.call(self);\n\t},interval || self.taskTimerInterval);\n};\n\n/*\nChoose the next sync task. We prioritise saves to the server, then getting updates from the server, then deletes to the server, then loads from the server\n\nReturns either:\n* a task object\n* the boolean true if there are pending sync tasks that aren't yet due\n* null if there's no pending sync tasks (just the next poll)\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar now = new Date(),\n\t\tthresholdLastSaved = now - this.throttleInterval,\n\t\thavePending = null;\n\t// First we look for tiddlers that have been modified locally and need saving back to the server\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title),\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(tiddler) {\n\t\t\t// If the tiddler is not known on the server, or has been modified locally no more recently than the threshold then it needs to be saved to the server\n\t\t\tvar hasChanged = !tiddlerInfo || this.wiki.getChangeCount(title) > tiddlerInfo.changeCount,\n\t\t\t\tisReadyToSave = !tiddlerInfo || !tiddlerInfo.timestampLastSaved || tiddlerInfo.timestampLastSaved < thresholdLastSaved;\n\t\t\tif(hasChanged) {\n\t\t\t\tif(isReadyToSave) {\n\t\t\t\t\treturn new SaveTiddlerTask(this,title);\n\t\t\t\t} else {\n\t\t\t\t\thavePending = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Second we check for an outstanding sync from server\n\tif(this.forceSyncFromServer || (this.timestampLastSyncFromServer && (now.valueOf() >= (this.timestampLastSyncFromServer.valueOf() + this.pollTimerInterval)))) {\n\t\treturn new SyncFromServerTask(this);\n\t}\n\t// Third, we check tiddlers that are known from the server but not currently in the store, and so need deleting on the server\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\ttitle = titles[index];\n\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\treturn new DeleteTiddlerTask(this,title);\n\t\t}\n\t}\n\t// Finally, check for tiddlers that need loading\n\ttitle = Object.keys(this.titlesToBeLoaded)[0];\n\tif(title) {\n\t\tdelete this.titlesToBeLoaded[title];\n\t\treturn new LoadTiddlerTask(this,title);\n\t}\n\t// No tasks are ready now, but might be in the future\n\treturn havePending;\n};\n\nfunction SaveTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"save\";\n}\n\nSaveTiddlerTask.prototype.toString = function() {\n\treturn \"SAVE \" + this.title;\n}\n\nSaveTiddlerTask.prototype.run = function(callback) {\n\tvar self = this,\n\t\tchangeCount = this.syncer.wiki.getChangeCount(this.title),\n\t\ttiddler = this.syncer.wiki.tiddlerExists(this.title) && this.syncer.wiki.getTiddler(this.title);\n\tthis.syncer.logger.log(\"Dispatching 'save' task:\",this.title);\n\tif(tiddler) {\n\t\tthis.syncer.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t// If there's an error, exit without changing any internal state\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Adjust the info stored about this tiddler\n\t\t\tself.syncer.tiddlerInfo[self.title] = {\n\t\t\t\tchangeCount: changeCount,\n\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\trevision: revision,\n\t\t\t\ttimestampLastSaved: new Date()\n\t\t\t};\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t},{\n\t\t\ttiddlerInfo: self.syncer.tiddlerInfo[self.title]\n\t\t});\n\t} else {\n\t\t$tw.utils.nextTick(callback(null));\n\t}\n};\n\nfunction DeleteTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"delete\";\n}\n\nDeleteTiddlerTask.prototype.toString = function() {\n\treturn \"DELETE \" + this.title;\n}\n\nDeleteTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'delete' task:\",this.title);\n\tthis.syncer.syncadaptor.deleteTiddler(this.title,function(err) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Remove the info stored about this tiddler\n\t\tdelete self.syncer.tiddlerInfo[self.title];\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t},{\n\t\ttiddlerInfo: self.syncer.tiddlerInfo[this.title]\n\t});\n};\n\nfunction LoadTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"load\";\n}\n\nLoadTiddlerTask.prototype.toString = function() {\n\treturn \"LOAD \" + this.title;\n}\n\nLoadTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'load' task:\",this.title);\n\tthis.syncer.syncadaptor.loadTiddler(this.title,function(err,tiddlerFields) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Update the info stored about this tiddler\n\t\tif(tiddlerFields) {\n\t\t\tself.syncer.storeTiddler(tiddlerFields);\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t});\n};\n\nfunction SyncFromServerTask(syncer) {\n\tthis.syncer = syncer;\n\tthis.type = \"syncfromserver\";\n}\n\nSyncFromServerTask.prototype.toString = function() {\n\treturn \"SYNCFROMSERVER\";\n}\n\nSyncFromServerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tvar syncSystemFromServer = (self.syncer.wiki.getTiddlerText(\"$:/config/SyncSystemTiddlersFromServer\") === \"yes\" ? true : false);\n\tvar successCallback = function() {\n\t\tself.syncer.forceSyncFromServer = false;\n\t\tself.syncer.timestampLastSyncFromServer = new Date();\n\t\tcallback(null);\n\t};\n\tif(this.syncer.syncadaptor.getUpdatedTiddlers) {\n\t\tthis.syncer.syncadaptor.getUpdatedTiddlers(self.syncer,function(err,updates) {\n\t\t\tif(err) {\n\t\t\t\tself.syncer.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tif(updates) {\n\t\t\t\t$tw.utils.each(updates.modifications,function(title) {\n\t\t\t\t\tself.syncer.titlesToBeLoaded[title] = true;\n\t\t\t\t});\n\t\t\t\t$tw.utils.each(updates.deletions,function(title) {\n\t\t\t\t\tif(syncSystemFromServer || !self.syncer.wiki.isSystemTiddler(title)) {\n\t\t\t\t\t\tdelete self.syncer.tiddlerInfo[title];\n\t\t\t\t\t\tself.syncer.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\t\tself.syncer.wiki.deleteTiddler(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\treturn successCallback();\n\t\t});\n\t} else if(this.syncer.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.syncer.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.syncer.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Keep track of which tiddlers we already know about have been reported this time\n\t\t\tvar previousTitles = Object.keys(self.syncer.tiddlerInfo);\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.syncer.wiki.tiddlerExists(tiddlerFields.title) && self.syncer.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.syncer.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null,\n\t\t\t\t\tindexInPreviousTitles = previousTitles.indexOf(tiddlerFields.title);\n\t\t\t\tif(indexInPreviousTitles !== -1) {\n\t\t\t\t\tpreviousTitles.splice(indexInPreviousTitles,1);\n\t\t\t\t}\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Only load the skinny version if we don't already have a fat version of the tiddler\n\t\t\t\t\tif(!tiddler || tiddler.fields.text === undefined) {\n\t\t\t\t\t\tself.syncer.storeTiddler(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\tself.syncer.titlesToBeLoaded[tiddlerFields.title] = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Delete any tiddlers that were previously reported but missing this time\n\t\t\t$tw.utils.each(previousTitles,function(title) {\n\t\t\t\tif(syncSystemFromServer || !self.syncer.wiki.isSystemTiddler(title)) {\n\t\t\t\t\tdelete self.syncer.tiddlerInfo[title];\n\t\t\t\t\tself.syncer.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\tself.syncer.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t});\n\t\t\tself.syncer.forceSyncFromServer = false;\n\t\t\tself.syncer.timestampLastSyncFromServer = new Date();\n\t\t\treturn successCallback();\n\t\t});\n\t} else {\n\t\treturn successCallback();\n\t}\n};\n\nexports.Syncer = Syncer;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/tiddler.js":{"title":"$:/core/modules/tiddler.js","text":"/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field,defaultValue) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn defaultValue || \"\";\n\t}\n\t// Stringify the field with the associated tiddler field module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet the value of a field as a list\n*/\nexports.getFieldList = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn [];\n\t}\n\treturn $tw.utils.parseStringArray(value);\n};\n\n/*\nGet all the fields as a hashmap of strings. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStrings = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = {};\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields[field] = this.getFieldString(field);\n\t\t\t}\n\t\t}\n\t}\n\treturn fields;\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [],\n\t\tfields = Object.keys(this.fields).sort(),\n\t\tresult = [];\n\tfor(var t=0; t<fields.length; t++) {\n\t\tvar field = fields[t];\n\t\tif(exclude.indexOf(field) === -1) {\n\t\t\tresult.push(field + \": \" + this.getFieldString(field));\n\t\t}\n\t}\n\treturn result.join(\"\\n\");\n};\n\nexports.getFieldDay = function(field) {\n\tif(this.cache && this.cache.day && $tw.utils.hop(this.cache.day,field) ) {\n\t\treturn this.cache.day[field];\n\t}\n\tvar day = \"\";\n\tif(this.fields[field]) {\n\t\tday = (new Date($tw.utils.parseDate(this.fields[field]))).setHours(0,0,0,0);\n\t}\n\tthis.cache.day = this.cache.day || {};\n\tthis.cache.day[field] = day;\n\treturn day;\n};\n\n})();\n","type":"application/javascript","module-type":"tiddlermethod"},"$:/core/modules/upgraders/plugins.js":{"title":"$:/core/modules/upgraders/plugins.js","text":"/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin contains JS modules\n\t\t\tvar requiresReload = wiki.doesPluginInfoRequireReload($tw.utils.parseJSONSafe(incomingTiddler.text)) ? (wiki.getTiddlerText(\"$:/language/ControlPanel/Plugins/PluginWillRequireReload\") + \" \") : \"\";\n\t\t\tmessages[title] = requiresReload;\n\t\t\tif(incomingTiddler.version) {\n\t\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n","type":"application/javascript","module-type":"upgrader"},"$:/core/modules/upgraders/system.js":{"title":"$:/core/modules/upgraders/system.js","text":"/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/Import\"],\n\tUNSELECT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\",\"$:/StoryList\",\"$:/HistoryList\"],\n\tWARN_IMPORT_PREFIX_LIST = [\"$:/core/modules/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tshowAlert = false;\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<UNSELECT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = UNSELECT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Tiddler/Unselected\");\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor(var t=0; t<WARN_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = WARN_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix && wiki.isShadowTiddler(title)) {\n\t\t\t\t\tshowAlert = true;\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Warning\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\tif(showAlert) {\n\t\tvar logger = new $tw.utils.Logger(\"import\");\n\t\tlogger.alert($tw.language.getString(\"Import/Upgrader/System/Alert\"));\n\t}\n\treturn messages;\n};\n\n})();\n","type":"application/javascript","module-type":"upgrader"},"$:/core/modules/upgraders/themetweaks.js":{"title":"$:/core/modules/upgraders/themetweaks.js","text":"/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n","type":"application/javascript","module-type":"upgrader"},"$:/core/modules/utils/base64-utf8/base64-utf8.module.js":{"text":"(function(){// From https://gist.github.com/Nijikokun/5192472\n//\n// UTF8 Module\n//\n// Cleaner and modularized utf-8 encoding and decoding library for javascript.\n//\n// copyright: MIT\n// author: Nijiko Yonskai, @nijikokun, nijikokun@gmail.com\n!function(r,e,o,t){void 0!==o.module&&o.module.exports?o.module.exports=e.apply(o):void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"utf8\",[],e):o.utf8=e.apply(o)}(0,function(){return{encode:function(r){if(\"string\"!=typeof r)return r;r=r.replace(/\\r\\n/g,\"\\n\");for(var e,o=\"\",t=0;t<r.length;t++)if((e=r.charCodeAt(t))<128)o+=String.fromCharCode(e);else if(e>127&&e<2048)o+=String.fromCharCode(e>>6|192),o+=String.fromCharCode(63&e|128);else if(e>55295&&e<57344&&r.length>t+1){var i=e,n=r.charCodeAt(t+1);t++;var d=65536+(i-55296<<10|n-56320);o+=String.fromCharCode(d>>18|240),o+=String.fromCharCode(d>>12&63|128),o+=String.fromCharCode(d>>6&63|128),o+=String.fromCharCode(63&d|128)}else o+=String.fromCharCode(e>>12|224),o+=String.fromCharCode(e>>6&63|128),o+=String.fromCharCode(63&e|128);return o},decode:function(r){if(\"string\"!=typeof r)return r;for(var e=\"\",o=0,t=0;o<r.length;)if((t=r.charCodeAt(o))<128)e+=String.fromCharCode(t),o++;else if(t>191&&t<224)e+=String.fromCharCode((31&t)<<6|63&r.charCodeAt(o+1)),o+=2;else if(t>223&&t<240)e+=String.fromCharCode((15&t)<<12|(63&r.charCodeAt(o+1))<<6|63&r.charCodeAt(o+2)),o+=3;else{var i=(7&t)<<18|(63&r.charCodeAt(o+1))<<12|(63&r.charCodeAt(o+2))<<6|63&r.charCodeAt(o+3);e+=String.fromCharCode(55296+(i-65536>>10))+String.fromCharCode(56320+(i-65536&1023)),o+=4}return e}}},this),function(r,e,o,t){if(void 0!==o.module&&o.module.exports){if(t&&o.require)for(var i=0;i<t.length;i++)o[t[i]]=o.require(t[i]);o.module.exports=e.apply(o)}else void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"base64\",t||[],e):o.base64=e.apply(o)}(0,function(r){var e=r||this.utf8,o=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";return{encode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=e.encode(r);for(var t,i,n,d,f,a,h,C=\"\",c=0;c<r.length;)d=(t=r.charCodeAt(c++))>>2,f=(3&t)<<4|(i=r.charCodeAt(c++))>>4,a=(15&i)<<2|(n=r.charCodeAt(c++))>>6,h=63&n,isNaN(i)?a=h=64:isNaN(n)&&(h=64),C+=o.charAt(d)+o.charAt(f)+o.charAt(a)+o.charAt(h);return C},decode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=r.replace(/[^A-Za-z0-9\\+\\/\\=]/g,\"\");for(var t,i,n,d,f,a,h=\"\",C=0;C<r.length;)t=o.indexOf(r.charAt(C++))<<2|(d=o.indexOf(r.charAt(C++)))>>4,i=(15&d)<<4|(f=o.indexOf(r.charAt(C++)))>>2,n=(3&f)<<6|(a=o.indexOf(r.charAt(C++))),h+=String.fromCharCode(t),64!=f&&(h+=String.fromCharCode(i)),64!=a&&(h+=String.fromCharCode(n));return e.decode(h)}}},this,[\"utf8\"]);}).call(exports);","type":"application/javascript","title":"$:/core/modules/utils/base64-utf8/base64-utf8.module.js","module-type":"library"},"$:/core/modules/utils/crypto.js":{"title":"$:/core/modules/utils/crypto.js","text":"/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = $tw.utils.parseJSONSafe(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/csv.js":{"title":"$:/core/modules/utils/csv.js","text":"/*\\\ntitle: $:/core/modules/utils/csv.js\ntype: application/javascript\nmodule-type: utils\n\nA barebones CSV parser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar QUOTE = '\"';\n\nvar getCellInfo = function(text, start, length, SEPARATOR) {\n\tvar isCellQuoted = text.charAt(start) === QUOTE;\n\tvar cellStart = isCellQuoted ? start + 1 : start;\n\t\n\tif (text.charAt(i) === SEPARATOR) {\n\t\treturn [cellStart, cellStart, false];\n\t}\n\t\n\tfor (var i = cellStart; i < length; i++) {\n\t\tvar cellCharacter = text.charAt(i);\n\t\tvar isEOL = cellCharacter === \"\\n\" || cellCharacter === \"\\r\";\n\t\t\n\t\tif (isEOL && !isCellQuoted) {\n\t\t\treturn [cellStart, i, false];\n\t\t\t\n\t\t} else if (cellCharacter === SEPARATOR && !isCellQuoted) {\n\t\t\treturn [cellStart, i, false];\n\t\t\t\n\t\t} else if (cellCharacter === QUOTE && isCellQuoted) {\n\t\t\tvar nextCharacter = i + 1 < length ? text.charAt(i + 1) : '';\n\t\t\tif (nextCharacter !== QUOTE) {\n\t\t\t\treturn [cellStart, i, true];\n\t\t\t} else {\n\t\t\t\ti++;\n\t\t\t}\n\t\t}\n\t}\n\t\n\treturn [cellStart, i, isCellQuoted];\n}\n\t\nexports.parseCsvString = function(text, options) {\n\tif (!text) {\n\t\treturn [];\n\t}\n\t\n\toptions = options || {};\n\tvar SEPARATOR = options.separator || \",\",\n\t\tlength = text.length,\n\t\trows = [],\n\t\tnextRow = [];\n\t\t\n\tfor (var i = 0; i < length; i++) {\n\t\tvar cellInfo = getCellInfo(text, i, length, SEPARATOR);\n\t\tvar cellText = text.substring(cellInfo[0], cellInfo[1]);\n\t\tif (cellInfo[2]) {\n\t\t\tcellText = cellText.replace(/\"\"/g, '\"');\n\t\t\tcellInfo[1]++;\n\t\t}\n\t\tnextRow.push(cellText);\n\t\t\n\t\ti = cellInfo[1];\n\t\t\n\t\tvar character = text.charAt(i);\n\t\tvar nextCharacter = i + 1 < length ? text.charAt(i + 1) : '';\n\t\t\n\t\tif (character === \"\\r\" || character === \"\\n\") {\n\t\t\t// Edge case for empty rows\n\t\t\tif (nextRow.length === 1 && nextRow[0] === '') {\n\t\t\t\tnextRow.length = 0;\n\t\t\t}\n\t\t\trows.push(nextRow);\n\t\t\tnextRow = [];\n\t\t\t\n\t\t\tif (character === \"\\r\") {\n\t\t\t\tvar nextCharacter = i + 1 < length ? text.charAt(i + 1) : '';\n\t\t\t\t\n\t\t\t\tif (nextCharacter === \"\\n\") {\n\t\t\t\t\ti++;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t\n\t// Special case if last cell in last row is an empty cell\n\tif (text.charAt(length - 1) === SEPARATOR) {\n\t\tnextRow.push(\"\");\n\t}\n\t\n\trows.push(nextRow);\n\t\n\treturn rows;\n}\n\n/*\nParse a CSV string with a header row and return an array of hashmaps.\n*/\nexports.parseCsvStringWithHeader = function(text,options) {\n\tvar csv = $tw.utils.parseCsvString(text, options);\n\tvar headers = csv[0];\n\t\n\tcsv = csv.slice(1);\n\tfor (var i = 0; i < csv.length; i++) {\n\t\tvar row = csv[i];\n\t\tvar rowObject = Object.create(null);\n\n\t\tfor(var columnIndex=0; columnIndex<headers.length; columnIndex++) {\n\t\t\tvar columnName = headers[columnIndex];\n\t\t\tif (columnName) {\n\t\t\t\trowObject[columnName] = $tw.utils.trim(row[columnIndex] || \"\");\n\t\t\t}\n\t\t}\n\t\tcsv[i] = rowObject;\n\t}\n\treturn csv;\n}\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/diff-match-patch/diff_match_patch.js":{"text":"(function(){function diff_match_patch(){this.Diff_Timeout=1;this.Diff_EditCost=4;this.Match_Threshold=.5;this.Match_Distance=1E3;this.Patch_DeleteThreshold=.5;this.Patch_Margin=4;this.Match_MaxBits=32}var DIFF_DELETE=-1,DIFF_INSERT=1,DIFF_EQUAL=0;\ndiff_match_patch.prototype.diff_main=function(a,b,c,d){\"undefined\"==typeof d&&(d=0>=this.Diff_Timeout?Number.MAX_VALUE:(new Date).getTime()+1E3*this.Diff_Timeout);if(null==a||null==b)throw Error(\"Null input. (diff_main)\");if(a==b)return a?[[DIFF_EQUAL,a]]:[];\"undefined\"==typeof c&&(c=!0);var e=c,f=this.diff_commonPrefix(a,b);c=a.substring(0,f);a=a.substring(f);b=b.substring(f);f=this.diff_commonSuffix(a,b);var g=a.substring(a.length-f);a=a.substring(0,a.length-f);b=b.substring(0,b.length-f);a=this.diff_compute_(a,\nb,e,d);c&&a.unshift([DIFF_EQUAL,c]);g&&a.push([DIFF_EQUAL,g]);this.diff_cleanupMerge(a);return a};\ndiff_match_patch.prototype.diff_compute_=function(a,b,c,d){if(!a)return[[DIFF_INSERT,b]];if(!b)return[[DIFF_DELETE,a]];var e=a.length>b.length?a:b,f=a.length>b.length?b:a,g=e.indexOf(f);return-1!=g?(c=[[DIFF_INSERT,e.substring(0,g)],[DIFF_EQUAL,f],[DIFF_INSERT,e.substring(g+f.length)]],a.length>b.length&&(c[0][0]=c[2][0]=DIFF_DELETE),c):1==f.length?[[DIFF_DELETE,a],[DIFF_INSERT,b]]:(e=this.diff_halfMatch_(a,b))?(b=e[1],f=e[3],a=e[4],e=this.diff_main(e[0],e[2],c,d),c=this.diff_main(b,f,c,d),e.concat([[DIFF_EQUAL,\na]],c)):c&&100<a.length&&100<b.length?this.diff_lineMode_(a,b,d):this.diff_bisect_(a,b,d)};\ndiff_match_patch.prototype.diff_lineMode_=function(a,b,c){var d=this.diff_linesToChars_(a,b);a=d.chars1;b=d.chars2;d=d.lineArray;a=this.diff_main(a,b,!1,c);this.diff_charsToLines_(a,d);this.diff_cleanupSemantic(a);a.push([DIFF_EQUAL,\"\"]);for(var e=d=b=0,f=\"\",g=\"\";b<a.length;){switch(a[b][0]){case DIFF_INSERT:e++;g+=a[b][1];break;case DIFF_DELETE:d++;f+=a[b][1];break;case DIFF_EQUAL:if(1<=d&&1<=e){a.splice(b-d-e,d+e);b=b-d-e;d=this.diff_main(f,g,!1,c);for(e=d.length-1;0<=e;e--)a.splice(b,0,d[e]);b+=\nd.length}d=e=0;g=f=\"\"}b++}a.pop();return a};\ndiff_match_patch.prototype.diff_bisect_=function(a,b,c){for(var d=a.length,e=b.length,f=Math.ceil((d+e)/2),g=2*f,h=Array(g),l=Array(g),k=0;k<g;k++)h[k]=-1,l[k]=-1;h[f+1]=0;l[f+1]=0;k=d-e;for(var m=0!=k%2,p=0,x=0,w=0,q=0,t=0;t<f&&!((new Date).getTime()>c);t++){for(var v=-t+p;v<=t-x;v+=2){var n=f+v;var r=v==-t||v!=t&&h[n-1]<h[n+1]?h[n+1]:h[n-1]+1;for(var y=r-v;r<d&&y<e&&a.charAt(r)==b.charAt(y);)r++,y++;h[n]=r;if(r>d)x+=2;else if(y>e)p+=2;else if(m&&(n=f+k-v,0<=n&&n<g&&-1!=l[n])){var u=d-l[n];if(r>=\nu)return this.diff_bisectSplit_(a,b,r,y,c)}}for(v=-t+w;v<=t-q;v+=2){n=f+v;u=v==-t||v!=t&&l[n-1]<l[n+1]?l[n+1]:l[n-1]+1;for(r=u-v;u<d&&r<e&&a.charAt(d-u-1)==b.charAt(e-r-1);)u++,r++;l[n]=u;if(u>d)q+=2;else if(r>e)w+=2;else if(!m&&(n=f+k-v,0<=n&&n<g&&-1!=h[n]&&(r=h[n],y=f+r-n,u=d-u,r>=u)))return this.diff_bisectSplit_(a,b,r,y,c)}}return[[DIFF_DELETE,a],[DIFF_INSERT,b]]};\ndiff_match_patch.prototype.diff_bisectSplit_=function(a,b,c,d,e){var f=a.substring(0,c),g=b.substring(0,d);a=a.substring(c);b=b.substring(d);f=this.diff_main(f,g,!1,e);e=this.diff_main(a,b,!1,e);return f.concat(e)};\ndiff_match_patch.prototype.diff_linesToChars_=function(a,b){function c(a){for(var b=\"\",c=0,f=-1,g=d.length;f<a.length-1;){f=a.indexOf(\"\\n\",c);-1==f&&(f=a.length-1);var h=a.substring(c,f+1);c=f+1;(e.hasOwnProperty?e.hasOwnProperty(h):void 0!==e[h])?b+=String.fromCharCode(e[h]):(b+=String.fromCharCode(g),e[h]=g,d[g++]=h)}return b}var d=[],e={};d[0]=\"\";var f=c(a),g=c(b);return{chars1:f,chars2:g,lineArray:d}};\ndiff_match_patch.prototype.diff_charsToLines_=function(a,b){for(var c=0;c<a.length;c++){for(var d=a[c][1],e=[],f=0;f<d.length;f++)e[f]=b[d.charCodeAt(f)];a[c][1]=e.join(\"\")}};diff_match_patch.prototype.diff_commonPrefix=function(a,b){if(!a||!b||a.charAt(0)!=b.charAt(0))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(f,e)==b.substring(f,e)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonSuffix=function(a,b){if(!a||!b||a.charAt(a.length-1)!=b.charAt(b.length-1))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(a.length-e,a.length-f)==b.substring(b.length-e,b.length-f)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonOverlap_=function(a,b){var c=a.length,d=b.length;if(0==c||0==d)return 0;c>d?a=a.substring(c-d):c<d&&(b=b.substring(0,c));c=Math.min(c,d);if(a==b)return c;d=0;for(var e=1;;){var f=a.substring(c-e);f=b.indexOf(f);if(-1==f)return d;e+=f;if(0==f||a.substring(c-e)==b.substring(0,e))d=e,e++}};\ndiff_match_patch.prototype.diff_halfMatch_=function(a,b){function c(a,b,c){for(var d=a.substring(c,c+Math.floor(a.length/4)),e=-1,g=\"\",h,k,l,m;-1!=(e=b.indexOf(d,e+1));){var p=f.diff_commonPrefix(a.substring(c),b.substring(e)),u=f.diff_commonSuffix(a.substring(0,c),b.substring(0,e));g.length<u+p&&(g=b.substring(e-u,e)+b.substring(e,e+p),h=a.substring(0,c-u),k=a.substring(c+p),l=b.substring(0,e-u),m=b.substring(e+p))}return 2*g.length>=a.length?[h,k,l,m,g]:null}if(0>=this.Diff_Timeout)return null;\nvar d=a.length>b.length?a:b,e=a.length>b.length?b:a;if(4>d.length||2*e.length<d.length)return null;var f=this,g=c(d,e,Math.ceil(d.length/4));d=c(d,e,Math.ceil(d.length/2));if(g||d)g=d?g?g[4].length>d[4].length?g:d:d:g;else return null;if(a.length>b.length){d=g[0];e=g[1];var h=g[2];var l=g[3]}else h=g[0],l=g[1],d=g[2],e=g[3];return[d,e,h,l,g[4]]};\ndiff_match_patch.prototype.diff_cleanupSemantic=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=0,h=0,l=0,k=0;f<a.length;)a[f][0]==DIFF_EQUAL?(c[d++]=f,g=l,h=k,k=l=0,e=a[f][1]):(a[f][0]==DIFF_INSERT?l+=a[f][1].length:k+=a[f][1].length,e&&e.length<=Math.max(g,h)&&e.length<=Math.max(l,k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,d--,f=0<d?c[d-1]:-1,k=l=h=g=0,e=null,b=!0)),f++;b&&this.diff_cleanupMerge(a);this.diff_cleanupSemanticLossless(a);for(f=1;f<a.length;){if(a[f-1][0]==\nDIFF_DELETE&&a[f][0]==DIFF_INSERT){b=a[f-1][1];c=a[f][1];d=this.diff_commonOverlap_(b,c);e=this.diff_commonOverlap_(c,b);if(d>=e){if(d>=b.length/2||d>=c.length/2)a.splice(f,0,[DIFF_EQUAL,c.substring(0,d)]),a[f-1][1]=b.substring(0,b.length-d),a[f+1][1]=c.substring(d),f++}else if(e>=b.length/2||e>=c.length/2)a.splice(f,0,[DIFF_EQUAL,b.substring(0,e)]),a[f-1][0]=DIFF_INSERT,a[f-1][1]=c.substring(0,c.length-e),a[f+1][0]=DIFF_DELETE,a[f+1][1]=b.substring(e),f++;f++}f++}};\ndiff_match_patch.prototype.diff_cleanupSemanticLossless=function(a){function b(a,b){if(!a||!b)return 6;var c=a.charAt(a.length-1),d=b.charAt(0),e=c.match(diff_match_patch.nonAlphaNumericRegex_),f=d.match(diff_match_patch.nonAlphaNumericRegex_),g=e&&c.match(diff_match_patch.whitespaceRegex_),h=f&&d.match(diff_match_patch.whitespaceRegex_);c=g&&c.match(diff_match_patch.linebreakRegex_);d=h&&d.match(diff_match_patch.linebreakRegex_);var k=c&&a.match(diff_match_patch.blanklineEndRegex_),l=d&&b.match(diff_match_patch.blanklineStartRegex_);\nreturn k||l?5:c||d?4:e&&!g&&h?3:g||h?2:e||f?1:0}for(var c=1;c<a.length-1;){if(a[c-1][0]==DIFF_EQUAL&&a[c+1][0]==DIFF_EQUAL){var d=a[c-1][1],e=a[c][1],f=a[c+1][1],g=this.diff_commonSuffix(d,e);if(g){var h=e.substring(e.length-g);d=d.substring(0,d.length-g);e=h+e.substring(0,e.length-g);f=h+f}g=d;h=e;for(var l=f,k=b(d,e)+b(e,f);e.charAt(0)===f.charAt(0);){d+=e.charAt(0);e=e.substring(1)+f.charAt(0);f=f.substring(1);var m=b(d,e)+b(e,f);m>=k&&(k=m,g=d,h=e,l=f)}a[c-1][1]!=g&&(g?a[c-1][1]=g:(a.splice(c-\n1,1),c--),a[c][1]=h,l?a[c+1][1]=l:(a.splice(c+1,1),c--))}c++}};diff_match_patch.nonAlphaNumericRegex_=/[^a-zA-Z0-9]/;diff_match_patch.whitespaceRegex_=/\\s/;diff_match_patch.linebreakRegex_=/[\\r\\n]/;diff_match_patch.blanklineEndRegex_=/\\n\\r?\\n$/;diff_match_patch.blanklineStartRegex_=/^\\r?\\n\\r?\\n/;\ndiff_match_patch.prototype.diff_cleanupEfficiency=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=!1,h=!1,l=!1,k=!1;f<a.length;)a[f][0]==DIFF_EQUAL?(a[f][1].length<this.Diff_EditCost&&(l||k)?(c[d++]=f,g=l,h=k,e=a[f][1]):(d=0,e=null),l=k=!1):(a[f][0]==DIFF_DELETE?k=!0:l=!0,e&&(g&&h&&l&&k||e.length<this.Diff_EditCost/2&&3==g+h+l+k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,e=null,g&&h?(l=k=!0,d=0):(d--,f=0<d?c[d-1]:-1,l=k=!1),b=!0)),f++;b&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_cleanupMerge=function(a){a.push([DIFF_EQUAL,\"\"]);for(var b=0,c=0,d=0,e=\"\",f=\"\",g;b<a.length;)switch(a[b][0]){case DIFF_INSERT:d++;f+=a[b][1];b++;break;case DIFF_DELETE:c++;e+=a[b][1];b++;break;case DIFF_EQUAL:1<c+d?(0!==c&&0!==d&&(g=this.diff_commonPrefix(f,e),0!==g&&(0<b-c-d&&a[b-c-d-1][0]==DIFF_EQUAL?a[b-c-d-1][1]+=f.substring(0,g):(a.splice(0,0,[DIFF_EQUAL,f.substring(0,g)]),b++),f=f.substring(g),e=e.substring(g)),g=this.diff_commonSuffix(f,e),0!==g&&(a[b][1]=f.substring(f.length-\ng)+a[b][1],f=f.substring(0,f.length-g),e=e.substring(0,e.length-g))),0===c?a.splice(b-d,c+d,[DIFF_INSERT,f]):0===d?a.splice(b-c,c+d,[DIFF_DELETE,e]):a.splice(b-c-d,c+d,[DIFF_DELETE,e],[DIFF_INSERT,f]),b=b-c-d+(c?1:0)+(d?1:0)+1):0!==b&&a[b-1][0]==DIFF_EQUAL?(a[b-1][1]+=a[b][1],a.splice(b,1)):b++,c=d=0,f=e=\"\"}\"\"===a[a.length-1][1]&&a.pop();c=!1;for(b=1;b<a.length-1;)a[b-1][0]==DIFF_EQUAL&&a[b+1][0]==DIFF_EQUAL&&(a[b][1].substring(a[b][1].length-a[b-1][1].length)==a[b-1][1]?(a[b][1]=a[b-1][1]+a[b][1].substring(0,\na[b][1].length-a[b-1][1].length),a[b+1][1]=a[b-1][1]+a[b+1][1],a.splice(b-1,1),c=!0):a[b][1].substring(0,a[b+1][1].length)==a[b+1][1]&&(a[b-1][1]+=a[b+1][1],a[b][1]=a[b][1].substring(a[b+1][1].length)+a[b+1][1],a.splice(b+1,1),c=!0)),b++;c&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_xIndex=function(a,b){var c=0,d=0,e=0,f=0,g;for(g=0;g<a.length;g++){a[g][0]!==DIFF_INSERT&&(c+=a[g][1].length);a[g][0]!==DIFF_DELETE&&(d+=a[g][1].length);if(c>b)break;e=c;f=d}return a.length!=g&&a[g][0]===DIFF_DELETE?f:f+(b-e)};\ndiff_match_patch.prototype.diff_prettyHtml=function(a){for(var b=[],c=/&/g,d=/</g,e=/>/g,f=/\\n/g,g=0;g<a.length;g++){var h=a[g][0],l=a[g][1].replace(c,\"&amp;\").replace(d,\"&lt;\").replace(e,\"&gt;\").replace(f,\"&para;<br>\");switch(h){case DIFF_INSERT:b[g]='<ins style=\"background:#e6ffe6;\">'+l+\"</ins>\";break;case DIFF_DELETE:b[g]='<del style=\"background:#ffe6e6;\">'+l+\"</del>\";break;case DIFF_EQUAL:b[g]=\"<span>\"+l+\"</span>\"}}return b.join(\"\")};\ndiff_match_patch.prototype.diff_text1=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_INSERT&&(b[c]=a[c][1]);return b.join(\"\")};diff_match_patch.prototype.diff_text2=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_DELETE&&(b[c]=a[c][1]);return b.join(\"\")};\ndiff_match_patch.prototype.diff_levenshtein=function(a){for(var b=0,c=0,d=0,e=0;e<a.length;e++){var f=a[e][1];switch(a[e][0]){case DIFF_INSERT:c+=f.length;break;case DIFF_DELETE:d+=f.length;break;case DIFF_EQUAL:b+=Math.max(c,d),d=c=0}}return b+=Math.max(c,d)};\ndiff_match_patch.prototype.diff_toDelta=function(a){for(var b=[],c=0;c<a.length;c++)switch(a[c][0]){case DIFF_INSERT:b[c]=\"+\"+encodeURI(a[c][1]);break;case DIFF_DELETE:b[c]=\"-\"+a[c][1].length;break;case DIFF_EQUAL:b[c]=\"=\"+a[c][1].length}return b.join(\"\\t\").replace(/%20/g,\" \")};\ndiff_match_patch.prototype.diff_fromDelta=function(a,b){for(var c=[],d=0,e=0,f=b.split(/\\t/g),g=0;g<f.length;g++){var h=f[g].substring(1);switch(f[g].charAt(0)){case \"+\":try{c[d++]=[DIFF_INSERT,decodeURI(h)]}catch(k){throw Error(\"Illegal escape in diff_fromDelta: \"+h);}break;case \"-\":case \"=\":var l=parseInt(h,10);if(isNaN(l)||0>l)throw Error(\"Invalid number in diff_fromDelta: \"+h);h=a.substring(e,e+=l);\"=\"==f[g].charAt(0)?c[d++]=[DIFF_EQUAL,h]:c[d++]=[DIFF_DELETE,h];break;default:if(f[g])throw Error(\"Invalid diff operation in diff_fromDelta: \"+\nf[g]);}}if(e!=a.length)throw Error(\"Delta length (\"+e+\") does not equal source text length (\"+a.length+\").\");return c};diff_match_patch.prototype.match_main=function(a,b,c){if(null==a||null==b||null==c)throw Error(\"Null input. (match_main)\");c=Math.max(0,Math.min(c,a.length));return a==b?0:a.length?a.substring(c,c+b.length)==b?c:this.match_bitap_(a,b,c):-1};\ndiff_match_patch.prototype.match_bitap_=function(a,b,c){function d(a,d){var e=a/b.length,g=Math.abs(c-d);return f.Match_Distance?e+g/f.Match_Distance:g?1:e}if(b.length>this.Match_MaxBits)throw Error(\"Pattern too long for this browser.\");var e=this.match_alphabet_(b),f=this,g=this.Match_Threshold,h=a.indexOf(b,c);-1!=h&&(g=Math.min(d(0,h),g),h=a.lastIndexOf(b,c+b.length),-1!=h&&(g=Math.min(d(0,h),g)));var l=1<<b.length-1;h=-1;for(var k,m,p=b.length+a.length,x,w=0;w<b.length;w++){k=0;for(m=p;k<m;)d(w,\nc+m)<=g?k=m:p=m,m=Math.floor((p-k)/2+k);p=m;k=Math.max(1,c-m+1);var q=Math.min(c+m,a.length)+b.length;m=Array(q+2);for(m[q+1]=(1<<w)-1;q>=k;q--){var t=e[a.charAt(q-1)];m[q]=0===w?(m[q+1]<<1|1)&t:(m[q+1]<<1|1)&t|(x[q+1]|x[q])<<1|1|x[q+1];if(m[q]&l&&(t=d(w,q-1),t<=g))if(g=t,h=q-1,h>c)k=Math.max(1,2*c-h);else break}if(d(w+1,c)>g)break;x=m}return h};\ndiff_match_patch.prototype.match_alphabet_=function(a){for(var b={},c=0;c<a.length;c++)b[a.charAt(c)]=0;for(c=0;c<a.length;c++)b[a.charAt(c)]|=1<<a.length-c-1;return b};\ndiff_match_patch.prototype.patch_addContext_=function(a,b){if(0!=b.length){for(var c=b.substring(a.start2,a.start2+a.length1),d=0;b.indexOf(c)!=b.lastIndexOf(c)&&c.length<this.Match_MaxBits-this.Patch_Margin-this.Patch_Margin;)d+=this.Patch_Margin,c=b.substring(a.start2-d,a.start2+a.length1+d);d+=this.Patch_Margin;(c=b.substring(a.start2-d,a.start2))&&a.diffs.unshift([DIFF_EQUAL,c]);(d=b.substring(a.start2+a.length1,a.start2+a.length1+d))&&a.diffs.push([DIFF_EQUAL,d]);a.start1-=c.length;a.start2-=\nc.length;a.length1+=c.length+d.length;a.length2+=c.length+d.length}};\ndiff_match_patch.prototype.patch_make=function(a,b,c){if(\"string\"==typeof a&&\"string\"==typeof b&&\"undefined\"==typeof c){var d=a;b=this.diff_main(d,b,!0);2<b.length&&(this.diff_cleanupSemantic(b),this.diff_cleanupEfficiency(b))}else if(a&&\"object\"==typeof a&&\"undefined\"==typeof b&&\"undefined\"==typeof c)b=a,d=this.diff_text1(b);else if(\"string\"==typeof a&&b&&\"object\"==typeof b&&\"undefined\"==typeof c)d=a;else if(\"string\"==typeof a&&\"string\"==typeof b&&c&&\"object\"==typeof c)d=a,b=c;else throw Error(\"Unknown call format to patch_make.\");\nif(0===b.length)return[];c=[];a=new diff_match_patch.patch_obj;for(var e=0,f=0,g=0,h=d,l=0;l<b.length;l++){var k=b[l][0],m=b[l][1];e||k===DIFF_EQUAL||(a.start1=f,a.start2=g);switch(k){case DIFF_INSERT:a.diffs[e++]=b[l];a.length2+=m.length;d=d.substring(0,g)+m+d.substring(g);break;case DIFF_DELETE:a.length1+=m.length;a.diffs[e++]=b[l];d=d.substring(0,g)+d.substring(g+m.length);break;case DIFF_EQUAL:m.length<=2*this.Patch_Margin&&e&&b.length!=l+1?(a.diffs[e++]=b[l],a.length1+=m.length,a.length2+=m.length):\nm.length>=2*this.Patch_Margin&&e&&(this.patch_addContext_(a,h),c.push(a),a=new diff_match_patch.patch_obj,e=0,h=d,f=g)}k!==DIFF_INSERT&&(f+=m.length);k!==DIFF_DELETE&&(g+=m.length)}e&&(this.patch_addContext_(a,h),c.push(a));return c};\ndiff_match_patch.prototype.patch_deepCopy=function(a){for(var b=[],c=0;c<a.length;c++){var d=a[c],e=new diff_match_patch.patch_obj;e.diffs=[];for(var f=0;f<d.diffs.length;f++)e.diffs[f]=d.diffs[f].slice();e.start1=d.start1;e.start2=d.start2;e.length1=d.length1;e.length2=d.length2;b[c]=e}return b};\ndiff_match_patch.prototype.patch_apply=function(a,b){if(0==a.length)return[b,[]];a=this.patch_deepCopy(a);var c=this.patch_addPadding(a);b=c+b+c;this.patch_splitMax(a);for(var d=0,e=[],f=0;f<a.length;f++){var g=a[f].start2+d,h=this.diff_text1(a[f].diffs),l=-1;if(h.length>this.Match_MaxBits){var k=this.match_main(b,h.substring(0,this.Match_MaxBits),g);-1!=k&&(l=this.match_main(b,h.substring(h.length-this.Match_MaxBits),g+h.length-this.Match_MaxBits),-1==l||k>=l)&&(k=-1)}else k=this.match_main(b,h,\ng);if(-1==k)e[f]=!1,d-=a[f].length2-a[f].length1;else if(e[f]=!0,d=k-g,g=-1==l?b.substring(k,k+h.length):b.substring(k,l+this.Match_MaxBits),h==g)b=b.substring(0,k)+this.diff_text2(a[f].diffs)+b.substring(k+h.length);else if(g=this.diff_main(h,g,!1),h.length>this.Match_MaxBits&&this.diff_levenshtein(g)/h.length>this.Patch_DeleteThreshold)e[f]=!1;else{this.diff_cleanupSemanticLossless(g);h=0;var m;for(l=0;l<a[f].diffs.length;l++){var p=a[f].diffs[l];p[0]!==DIFF_EQUAL&&(m=this.diff_xIndex(g,h));p[0]===\nDIFF_INSERT?b=b.substring(0,k+m)+p[1]+b.substring(k+m):p[0]===DIFF_DELETE&&(b=b.substring(0,k+m)+b.substring(k+this.diff_xIndex(g,h+p[1].length)));p[0]!==DIFF_DELETE&&(h+=p[1].length)}}}b=b.substring(c.length,b.length-c.length);return[b,e]};\ndiff_match_patch.prototype.patch_addPadding=function(a){for(var b=this.Patch_Margin,c=\"\",d=1;d<=b;d++)c+=String.fromCharCode(d);for(d=0;d<a.length;d++)a[d].start1+=b,a[d].start2+=b;d=a[0];var e=d.diffs;if(0==e.length||e[0][0]!=DIFF_EQUAL)e.unshift([DIFF_EQUAL,c]),d.start1-=b,d.start2-=b,d.length1+=b,d.length2+=b;else if(b>e[0][1].length){var f=b-e[0][1].length;e[0][1]=c.substring(e[0][1].length)+e[0][1];d.start1-=f;d.start2-=f;d.length1+=f;d.length2+=f}d=a[a.length-1];e=d.diffs;0==e.length||e[e.length-\n1][0]!=DIFF_EQUAL?(e.push([DIFF_EQUAL,c]),d.length1+=b,d.length2+=b):b>e[e.length-1][1].length&&(f=b-e[e.length-1][1].length,e[e.length-1][1]+=c.substring(0,f),d.length1+=f,d.length2+=f);return c};\ndiff_match_patch.prototype.patch_splitMax=function(a){for(var b=this.Match_MaxBits,c=0;c<a.length;c++)if(!(a[c].length1<=b)){var d=a[c];a.splice(c--,1);for(var e=d.start1,f=d.start2,g=\"\";0!==d.diffs.length;){var h=new diff_match_patch.patch_obj,l=!0;h.start1=e-g.length;h.start2=f-g.length;\"\"!==g&&(h.length1=h.length2=g.length,h.diffs.push([DIFF_EQUAL,g]));for(;0!==d.diffs.length&&h.length1<b-this.Patch_Margin;){g=d.diffs[0][0];var k=d.diffs[0][1];g===DIFF_INSERT?(h.length2+=k.length,f+=k.length,h.diffs.push(d.diffs.shift()),\nl=!1):g===DIFF_DELETE&&1==h.diffs.length&&h.diffs[0][0]==DIFF_EQUAL&&k.length>2*b?(h.length1+=k.length,e+=k.length,l=!1,h.diffs.push([g,k]),d.diffs.shift()):(k=k.substring(0,b-h.length1-this.Patch_Margin),h.length1+=k.length,e+=k.length,g===DIFF_EQUAL?(h.length2+=k.length,f+=k.length):l=!1,h.diffs.push([g,k]),k==d.diffs[0][1]?d.diffs.shift():d.diffs[0][1]=d.diffs[0][1].substring(k.length))}g=this.diff_text2(h.diffs);g=g.substring(g.length-this.Patch_Margin);k=this.diff_text1(d.diffs).substring(0,\nthis.Patch_Margin);\"\"!==k&&(h.length1+=k.length,h.length2+=k.length,0!==h.diffs.length&&h.diffs[h.diffs.length-1][0]===DIFF_EQUAL?h.diffs[h.diffs.length-1][1]+=k:h.diffs.push([DIFF_EQUAL,k]));l||a.splice(++c,0,h)}}};diff_match_patch.prototype.patch_toText=function(a){for(var b=[],c=0;c<a.length;c++)b[c]=a[c];return b.join(\"\")};\ndiff_match_patch.prototype.patch_fromText=function(a){var b=[];if(!a)return b;a=a.split(\"\\n\");for(var c=0,d=/^@@ -(\\d+),?(\\d*) \\+(\\d+),?(\\d*) @@$/;c<a.length;){var e=a[c].match(d);if(!e)throw Error(\"Invalid patch string: \"+a[c]);var f=new diff_match_patch.patch_obj;b.push(f);f.start1=parseInt(e[1],10);\"\"===e[2]?(f.start1--,f.length1=1):\"0\"==e[2]?f.length1=0:(f.start1--,f.length1=parseInt(e[2],10));f.start2=parseInt(e[3],10);\"\"===e[4]?(f.start2--,f.length2=1):\"0\"==e[4]?f.length2=0:(f.start2--,f.length2=\nparseInt(e[4],10));for(c++;c<a.length;){e=a[c].charAt(0);try{var g=decodeURI(a[c].substring(1))}catch(h){throw Error(\"Illegal escape in patch_fromText: \"+g);}if(\"-\"==e)f.diffs.push([DIFF_DELETE,g]);else if(\"+\"==e)f.diffs.push([DIFF_INSERT,g]);else if(\" \"==e)f.diffs.push([DIFF_EQUAL,g]);else if(\"@\"==e)break;else if(\"\"!==e)throw Error('Invalid patch mode \"'+e+'\" in: '+g);c++}}return b};diff_match_patch.patch_obj=function(){this.diffs=[];this.start2=this.start1=null;this.length2=this.length1=0};\ndiff_match_patch.patch_obj.prototype.toString=function(){for(var a=[\"@@ -\"+(0===this.length1?this.start1+\",0\":1==this.length1?this.start1+1:this.start1+1+\",\"+this.length1)+\" +\"+(0===this.length2?this.start2+\",0\":1==this.length2?this.start2+1:this.start2+1+\",\"+this.length2)+\" @@\\n\"],b,c=0;c<this.diffs.length;c++){switch(this.diffs[c][0]){case DIFF_INSERT:b=\"+\";break;case DIFF_DELETE:b=\"-\";break;case DIFF_EQUAL:b=\" \"}a[c+1]=b+encodeURI(this.diffs[c][1])+\"\\n\"}return a.join(\"\").replace(/%20/g,\" \")};\nthis.diff_match_patch=diff_match_patch;this.DIFF_DELETE=DIFF_DELETE;this.DIFF_INSERT=DIFF_INSERT;this.DIFF_EQUAL=DIFF_EQUAL;\n}).call(exports);","type":"application/javascript","title":"$:/core/modules/utils/diff-match-patch/diff_match_patch.js","module-type":"library"},"$:/core/modules/utils/dom/animations/slide.js":{"title":"$:/core/modules/utils/dom/animations/slide.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n","type":"application/javascript","module-type":"animation"},"$:/core/modules/utils/dom/animator.js":{"title":"$:/core/modules/utils/dom/animator.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/browser.js":{"title":"$:/core/modules/utils/dom/browser.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/csscolorparser.js":{"title":"$:/core/modules/utils/dom/csscolorparser.js","text":"// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n  \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n  \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n  \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n  \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n  \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n  \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n  \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n  \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n  \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n  \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n  \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n  \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n  \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n  \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n  \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n  \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n  \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n  \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n  \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n  \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n  \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n  \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n  \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n  \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n  \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n  \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n  \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n  \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n  \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n  \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n  \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n  \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n  \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n  \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n  \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n  \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n  \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n  \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n  \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n  \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n  \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n  \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n  \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n  \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n  \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n  \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n  \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n  \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n  \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n  \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n  \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n  \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n  \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n  \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n  \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n  \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n  \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n  \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n  \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n  \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n  \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n  \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n  \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n  \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n  \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n  \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n  \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n  \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n  \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n  \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n  \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n  \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n  \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n  \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) {  // Clamp to integer 0 .. 255.\n  i = Math.round(i);  // Seems to be what Chrome does (vs truncation).\n  return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) {  // Clamp to float 0.0 .. 1.0.\n  return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) {  // int or percentage.\n  if (str[str.length - 1] === '%')\n    return clamp_css_byte(parseFloat(str) / 100 * 255);\n  return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) {  // float or percentage.\n  if (str[str.length - 1] === '%')\n    return clamp_css_float(parseFloat(str) / 100);\n  return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n  if (h < 0) h += 1;\n  else if (h > 1) h -= 1;\n\n  if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n  if (h * 2 < 1) return m2;\n  if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n  return m1;\n}\n\nfunction parseCSSColor(css_str) {\n  // Remove all whitespace, not compliant, but should just be more accepting.\n  var str = css_str.replace(/ /g, '').toLowerCase();\n\n  // Color keywords (and transparent) lookup.\n  if (str in kCSSColorTable) return kCSSColorTable[str].slice();  // dup.\n\n  // #abc and #abc123 syntax.\n  if (str[0] === '#') {\n    if (str.length === 4) {\n      var iv = parseInt(str.substr(1), 16);  // TODO(deanm): Stricter parsing.\n      if (!(iv >= 0 && iv <= 0xfff)) return null;  // Covers NaN.\n      return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n              (iv & 0xf0) | ((iv & 0xf0) >> 4),\n              (iv & 0xf) | ((iv & 0xf) << 4),\n              1];\n    } else if (str.length === 7) {\n      var iv = parseInt(str.substr(1), 16);  // TODO(deanm): Stricter parsing.\n      if (!(iv >= 0 && iv <= 0xffffff)) return null;  // Covers NaN.\n      return [(iv & 0xff0000) >> 16,\n              (iv & 0xff00) >> 8,\n              iv & 0xff,\n              1];\n    }\n\n    return null;\n  }\n\n  var op = str.indexOf('('), ep = str.indexOf(')');\n  if (op !== -1 && ep + 1 === str.length) {\n    var fname = str.substr(0, op);\n    var params = str.substr(op+1, ep-(op+1)).split(',');\n    var alpha = 1;  // To allow case fallthrough.\n    switch (fname) {\n      case 'rgba':\n        if (params.length !== 4) return null;\n        alpha = parse_css_float(params.pop());\n        // Fall through.\n      case 'rgb':\n        if (params.length !== 3) return null;\n        return [parse_css_int(params[0]),\n                parse_css_int(params[1]),\n                parse_css_int(params[2]),\n                alpha];\n      case 'hsla':\n        if (params.length !== 4) return null;\n        alpha = parse_css_float(params.pop());\n        // Fall through.\n      case 'hsl':\n        if (params.length !== 3) return null;\n        var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360;  // 0 .. 1\n        // NOTE(deanm): According to the CSS spec s/l should only be\n        // percentages, but we don't bother and let float or percentage.\n        var s = parse_css_float(params[1]);\n        var l = parse_css_float(params[2]);\n        var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n        var m1 = l * 2 - m2;\n        return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n                clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n                clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n                alpha];\n      default:\n        return null;\n    }\n  }\n\n  return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom.js":{"title":"$:/core/modules/utils/dom.js","text":"/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Popup = require(\"$:/core/modules/utils/dom/popup.js\");\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.domMatchesSelector = function(node,selector) {\n\treturn node.matches ? node.matches(selector) : node.msMatchesSelector(selector);\n};\n\n/*\nSelect text in a an input or textarea (setSelectionRange crashes on certain input types)\n*/\nexports.setSelectionRangeSafe = function(node,start,end,direction) {\n\ttry {\n\t\tnode.setSelectionRange(start,end,direction);\n\t} catch(e) {\n\t\tnode.select();\n\t}\n};\n\n/*\nSelect the text in an input or textarea by position\n*/\nexports.setSelectionByPosition = function(node,selectFromStart,selectFromEnd) {\n\t$tw.utils.setSelectionRangeSafe(node,selectFromStart,node.value.length - selectFromEnd);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.hasAttribute && el.hasAttribute(\"class\") && el.getAttribute(\"class\").split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = (el.getAttribute(\"class\") || \"\").split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t\tel.setAttribute(\"class\",c.join(\" \"));\n\t}\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = (el.getAttribute(\"class\") || \"\").split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.setAttribute(\"class\",c.join(\" \"));\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nexports.getScrollContainer = function(el) {\n\tvar doc = el.ownerDocument;\n\twhile(el.parentNode) {\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn doc.body;\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function(srcWindow) {\n\tvar scrollWindow = srcWindow || window;\n\tif(\"scrollX\" in scrollWindow) {\n\t\treturn {x: scrollWindow.scrollX, y: scrollWindow.scrollY};\n\t} else {\n\t\treturn {x: scrollWindow.document.documentElement.scrollLeft, y: scrollWindow.document.documentElement.scrollTop};\n\t}\n};\n\n/*\nAdjust the height of a textarea to fit its content, preserving scroll position, and return the height\n*/\nexports.resizeTextAreaToFit = function(domNode,minHeight) {\n\t// Get the scroll container and register the current scroll position\n\tvar container = $tw.utils.getScrollContainer(domNode),\n\t\tscrollTop = container.scrollTop;\n    // Measure the specified minimum height\n\tdomNode.style.height = minHeight;\n\tvar measuredHeight = domNode.offsetHeight || parseInt(minHeight,10);\n\t// Set its height to auto so that it snaps to the correct height\n\tdomNode.style.height = \"auto\";\n\t// Calculate the revised height\n\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,measuredHeight);\n\t// Only try to change the height if it has changed\n\tif(newHeight !== domNode.offsetHeight) {\n\t\tdomNode.style.height = newHeight + \"px\";\n\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t$tw.utils.forceLayout(domNode);\n\t\t// Set the container to the position we registered at the beginning\n\t\tcontainer.scrollTop = scrollTop;\n\t}\n\treturn newHeight;\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(element.ownerDocument.defaultView),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\tvar done = false;\n\ttry {\n\t\twindow.localStorage.setItem(\"tw5-password-\" + name,password);\n\t\tdone = true;\n\t} catch(e) {\n\t}\n\tif(!done) {\n\t\t$tw.savedPasswords = $tw.savedPasswords || Object.create(null);\n\t\t$tw.savedPasswords[name] = password;\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\tvar value;\n\ttry {\n\t\tvalue = window.localStorage.getItem(\"tw5-password-\" + name);\n\t} catch(e) {\n\t}\n\tif(value !== undefined) {\n\t\treturn value;\n\t} else {\n\t\treturn ($tw.savedPasswords || Object.create(null))[name] || \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n/*\nGet the computed styles applied to an element as an array of strings of individual CSS properties\n*/\nexports.getComputedStyles = function(domNode) {\n\tvar textAreaStyles = window.getComputedStyle(domNode,null),\n\t\tstyleDefs = [],\n\t\tname;\n\tfor(var t=0; t<textAreaStyles.length; t++) {\n\t\tname = textAreaStyles[t];\n\t\tstyleDefs.push(name + \": \" + textAreaStyles.getPropertyValue(name) + \";\");\n\t}\n\treturn styleDefs;\n};\n\n/*\nApply a set of styles passed as an array of strings of individual CSS properties\n*/\nexports.setStyles = function(domNode,styleDefs) {\n\tdomNode.style.cssText = styleDefs.join(\"\");\n};\n\n/*\nCopy the computed styles from a source element to a destination element\n*/\nexports.copyStyles = function(srcDomNode,dstDomNode) {\n\t$tw.utils.setStyles(dstDomNode,$tw.utils.getComputedStyles(srcDomNode));\n};\n\n/*\nCopy plain text to the clipboard on browsers that support it\n*/\nexports.copyToClipboard = function(text,options) {\n\toptions = options || {};\n\tvar textArea = document.createElement(\"textarea\");\n\ttextArea.style.position = \"fixed\";\n\ttextArea.style.top = 0;\n\ttextArea.style.left = 0;\n\ttextArea.style.fontSize = \"12pt\";\n\ttextArea.style.width = \"2em\";\n\ttextArea.style.height = \"2em\";\n\ttextArea.style.padding = 0;\n\ttextArea.style.border = \"none\";\n\ttextArea.style.outline = \"none\";\n\ttextArea.style.boxShadow = \"none\";\n\ttextArea.style.background = \"transparent\";\n\ttextArea.value = text;\n\tdocument.body.appendChild(textArea);\n\ttextArea.select();\n\ttextArea.setSelectionRange(0,text.length);\n\tvar succeeded = false;\n\ttry {\n\t\tsucceeded = document.execCommand(\"copy\");\n\t} catch (err) {\n\t}\n\tif(!options.doNotNotify) {\n\t\t$tw.notifier.display(succeeded ? \"$:/language/Notifications/CopiedToClipboard/Succeeded\" : \"$:/language/Notifications/CopiedToClipboard/Failed\");\n\t}\n\tdocument.body.removeChild(textArea);\n};\n\nexports.getLocationPath = function() {\n\treturn window.location.toString().split(\"#\")[0];\n};\n\n/*\nCollect DOM variables\n*/\nexports.collectDOMVariables = function(selectedNode,domNode,event) {\n\tvar variables = {},\n\t    selectedNodeRect,\n\t    domNodeRect;\n\tif(selectedNode) {\n\t\t$tw.utils.each(selectedNode.attributes,function(attribute) {\n\t\t\tvariables[\"dom-\" + attribute.name] = attribute.value.toString();\n\t\t});\n\t\t\n\t\tif(\"offsetLeft\" in selectedNode) {\n\t\t\t// Add variables with a (relative and absolute) popup coordinate string for the selected node\n\t\t\tvar nodeRect = {\n\t\t\t\tleft: selectedNode.offsetLeft,\n\t\t\t\ttop: selectedNode.offsetTop,\n\t\t\t\twidth: selectedNode.offsetWidth,\n\t\t\t\theight: selectedNode.offsetHeight\n\t\t\t};\n\t\t\tvariables[\"tv-popup-coords\"] = Popup.buildCoordinates(Popup.coordinatePrefix.csOffsetParent,nodeRect);\n\n\t\t\tvar absRect = $tw.utils.extend({}, nodeRect);\n\t\t\tfor (var currentNode = selectedNode.offsetParent; currentNode; currentNode = currentNode.offsetParent) {\n\t\t\t\tabsRect.left += currentNode.offsetLeft;\n\t\t\t\tabsRect.top += currentNode.offsetTop;\n\t\t\t}\n\t\t\tvariables[\"tv-popup-abs-coords\"] = Popup.buildCoordinates(Popup.coordinatePrefix.csAbsolute,absRect);\n\n\t\t\t// Add variables for offset of selected node\n\t\t\tvariables[\"tv-selectednode-posx\"] = selectedNode.offsetLeft.toString();\n\t\t\tvariables[\"tv-selectednode-posy\"] = selectedNode.offsetTop.toString();\n\t\t\tvariables[\"tv-selectednode-width\"] = selectedNode.offsetWidth.toString();\n\t\t\tvariables[\"tv-selectednode-height\"] = selectedNode.offsetHeight.toString();\n\t\t}\n\t}\n\t\n\tif(domNode && (\"offsetWidth\" in domNode)) {\n\t\tvariables[\"tv-widgetnode-width\"] = domNode.offsetWidth.toString();\n\t\tvariables[\"tv-widgetnode-height\"] = domNode.offsetHeight.toString();\n\t}\n\n\tif(event && (\"clientX\" in event) && (\"clientY\" in event)) {\n\t\tif(selectedNode) {\n\t\t\t// Add variables for event X and Y position relative to selected node\n\t\t\tselectedNodeRect = selectedNode.getBoundingClientRect();\n\t\t\tvariables[\"event-fromselected-posx\"] = (event.clientX - selectedNodeRect.left).toString();\n\t\t\tvariables[\"event-fromselected-posy\"] = (event.clientY - selectedNodeRect.top).toString();\n\t\t}\n\t\t\n\t\tif(domNode) {\n\t\t\t// Add variables for event X and Y position relative to event catcher node\n\t\t\tdomNodeRect = domNode.getBoundingClientRect();\n\t\t\tvariables[\"event-fromcatcher-posx\"] = (event.clientX - domNodeRect.left).toString();\n\t\t\tvariables[\"event-fromcatcher-posy\"] = (event.clientY - domNodeRect.top).toString();\n\t\t}\n\n\t\t// Add variables for event X and Y position relative to the viewport\n\t\tvariables[\"event-fromviewport-posx\"] = event.clientX.toString();\n\t\tvariables[\"event-fromviewport-posy\"] = event.clientY.toString();\n\t}\n\treturn variables;\n};\n\n/*\nMake sure the CSS selector is not invalid\n*/\nexports.querySelectorSafe = function(selector,baseElement) {\n\tbaseElement = baseElement || document;\n\ttry {\n\t\treturn baseElement.querySelector(selector);\n\t} catch(e) {\n\t\tconsole.log(\"Invalid selector: \",selector);\n\t}\n};\n\nexports.querySelectorAllSafe = function(selector,baseElement) {\n\tbaseElement = baseElement || document;\n\ttry {\n\t\treturn baseElement.querySelectorAll(selector);\n\t} catch(e) {\n\t\tconsole.log(\"Invalid selector: \",selector);\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/dragndrop.js":{"title":"$:/core/modules/utils/dom/dragndrop.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/dragndrop.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser data transfer utilities, used with the clipboard and drag and drop\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOptions:\n\ndomNode: dom node to make draggable\nselector: CSS selector to identify element within domNode to be used as drag handle (optional)\ndragImageType: \"pill\", \"blank\" or \"dom\" (the default)\ndragTiddlerFn: optional function to retrieve the title of tiddler to drag\ndragFilterFn: optional function to retreive the filter defining a list of tiddlers to drag\nwidget: widget to use as the context for the filter\n*/\nexports.makeDraggable = function(options) {\n\tvar dragImageType = options.dragImageType || \"dom\",\n\t\tdragImage,\n\t\tdomNode = options.domNode;\n\t// Make the dom node draggable (not necessary for anchor tags)\n\tif(!options.selector && ((domNode.tagName || \"\").toLowerCase() !== \"a\")) {\n\t\tdomNode.setAttribute(\"draggable\",\"true\");\n\t}\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragstart\", handlerFunction: function(event) {\n\t\t\tif(event.dataTransfer === undefined) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Collect the tiddlers being dragged\n\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t\tstartActions = options.startActions,\n\t\t\t\tvariables,\n\t\t\t\tdomNodeRect;\n\t\t\tif(dragFilter) {\n\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t}\n\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t// Check that we've something to drag\n\t\t\tif(titles.length > 0 && (options.selector && $tw.utils.domMatchesSelector(event.target,options.selector) || event.target === domNode)) {\n\t\t\t\t// Mark the drag in progress\n\t\t\t\t$tw.dragInProgress = domNode;\n\t\t\t\t// Set the dragging class on the element being dragged\n\t\t\t\t$tw.utils.addClass(domNode,\"tc-dragging\");\n\t\t\t\t// Invoke drag-start actions if given\n\t\t\t\tif(startActions !== undefined) {\n\t\t\t\t\t// Collect our variables\n\t\t\t\t\tvariables = $tw.utils.collectDOMVariables(domNode,null,event);\n\t\t\t\t\tvariables.modifier = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\t\t\tvariables[\"actionTiddler\"] = titleString;\n\t\t\t\t\toptions.widget.invokeActionString(startActions,options.widget,event,variables);\n\t\t\t\t}\n\t\t\t\t// Create the drag image elements\n\t\t\t\tdragImage = options.widget.document.createElement(\"div\");\n\t\t\t\tdragImage.className = \"tc-tiddler-dragger\";\n\t\t\t\tvar inner = options.widget.document.createElement(\"div\");\n\t\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\t\tinner.appendChild(options.widget.document.createTextNode(\n\t\t\t\t\ttitles.length === 1 ? \n\t\t\t\t\t\ttitles[0] :\n\t\t\t\t\t\ttitles.length + \" tiddlers\"\n\t\t\t\t));\n\t\t\t\tdragImage.appendChild(inner);\n\t\t\t\toptions.widget.document.body.appendChild(dragImage);\n\t\t\t\t// Set the data transfer properties\n\t\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t\t// Set up the image\n\t\t\t\tdataTransfer.effectAllowed = \"all\";\n\t\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\t\tif(dragImageType === \"pill\") {\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage.firstChild,-16,-16);\n\t\t\t\t\t} else if(dragImageType === \"blank\") {\n\t\t\t\t\t\tdragImage.removeChild(dragImage.firstChild);\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage,0,0);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar r = domNode.getBoundingClientRect();\n\t\t\t\t\t\tdataTransfer.setDragImage(domNode,event.clientX-r.left,event.clientY-r.top);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Set up the data transfer\n\t\t\t\tif(dataTransfer.clearData) {\n\t\t\t\t\tdataTransfer.clearData();\n\t\t\t\t}\n\t\t\t\tvar jsonData = [];\n\t\t\t\tif(titles.length > 1) {\n\t\t\t\t\ttitles.forEach(function(title) {\n\t\t\t\t\t\tjsonData.push(options.widget.wiki.getTiddlerAsJson(title));\n\t\t\t\t\t});\n\t\t\t\t\tjsonData = \"[\" + jsonData.join(\",\") + \"]\";\n\t\t\t\t} else {\n\t\t\t\t\tjsonData = options.widget.wiki.getTiddlerAsJson(titles[0]);\n\t\t\t\t}\n\t\t\t\t// IE doesn't like these content types\n\t\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\t\tdataTransfer.setData(\"text/plain\",titleString);\n\t\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\t// If browser is Chrome-like and has a touch-input device do NOT .setData\n\t\t\t\tif(!($tw.browser.isMobileChrome)) {\n\t\t\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\tdataTransfer.setData(\"Text\",titleString);\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn false;\n\t\t}},\n\t\t{name: \"dragend\", handlerFunction: function(event) {\n\t\t\tif((options.selector && $tw.utils.domMatchesSelector(event.target,options.selector)) || event.target === domNode) {\n\t\t\t\t// Collect the tiddlers being dragged\n\t\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t\t\tendActions = options.endActions,\n\t\t\t\t\tvariables;\n\t\t\t\tif(dragFilter) {\n\t\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t\t}\n\t\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t\t$tw.dragInProgress = null;\n\t\t\t\t// Invoke drag-end actions if given\n\t\t\t\tif(endActions !== undefined) {\n\t\t\t\t\tvariables = $tw.utils.collectDOMVariables(domNode,null,event);\n\t\t\t\t\tvariables.modifier = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\t\t\tvariables[\"actionTiddler\"] = titleString;\n\t\t\t\t\toptions.widget.invokeActionString(endActions,options.widget,event,variables);\n\t\t\t\t}\n\t\t\t\t// Remove the dragging class on the element being dragged\n\t\t\t\t$tw.utils.removeClass(domNode,\"tc-dragging\");\n\t\t\t\t// Delete the drag image element\n\t\t\t\tif(dragImage) {\n\t\t\t\t\tdragImage.parentNode.removeChild(dragImage);\n\t\t\t\t\tdragImage = null;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}}\n\t]);\n};\n\nexports.importDataTransfer = function(dataTransfer,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Available data types:\");\n\t\tfor(var type=0; type<dataTransfer.types.length; type++) {\n\t\t\tconsole.log(\"type\",dataTransfer.types[type],dataTransfer.getData(dataTransfer.types[type]))\n\t\t}\n\t}\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.importPaste = function(item,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(item.type === importDataTypes[t].type) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\n\t\t\titem.getAsString(function(data){\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t});\n\t\t\treturn;\n\t\t}\n\t}\n};\n\nexports.itemHasValidDataType = function(item) {\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\tif(item.type === importDataTypes[t].type) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n}\n\nvar importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn parseJSONTiddlers(data,fallbackTitle);\n\t}},\n\t{type: \"URL\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = $tw.utils.decodeURIComponentSafe(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = $tw.utils.decodeURIComponentSafe(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/plain\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"Text\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = $tw.utils.decodeURIComponentSafe(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}}\n];\n\nfunction parseJSONTiddlers(json,fallbackTitle) {\n\tvar data = $tw.utils.parseJSONSafe(json);\n\tif(!$tw.utils.isArray(data)) {\n\t\tdata = [data];\n\t}\n\tdata.forEach(function(fields) {\n\t\tfields.title = fields.title || fallbackTitle;\n\t});\n\treturn data;\n};\n\nfunction dragEventContainsType(event,targetType) {\n\tif(event.dataTransfer.types) {\n\t\tfor(var i=0; i<event.dataTransfer.types.length; i++) {\n\t\t\tif(event.dataTransfer.types[i] === targetType) {\n\t\t\t\treturn true;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nexports.dragEventContainsFiles = function(event) {\n\treturn (dragEventContainsType(event,\"Files\") && !dragEventContainsType(event,\"text/plain\"));\n};\n\nexports.dragEventContainsType = dragEventContainsType;\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/http.js":{"title":"$:/core/modules/utils/dom/http.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nHTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nManage tm-http-request events. Options include:\nwiki: Reference to the wiki to be used for state tiddler tracking\nstateTrackerTitle: Title of tiddler to be used for state tiddler tracking\n*/\nfunction HttpClient(options) {\n\toptions = options || {};\n\tthis.nextId = 1;\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.stateTrackerTitle = options.stateTrackerTitle || \"$:/state/http-requests\";\n\tthis.requests = []; // Array of {id: string,request: HttpClientRequest}\n\tthis.updateRequestTracker();\n}\n\n/*\nReturn the index into this.requests[] corresponding to a given ID. Returns null if not found\n*/\nHttpClient.prototype.getRequestIndex = function(targetId) {\n\tvar targetIndex = null;\n\t$tw.utils.each(this.requests,function(requestInfo,index) {\n\t\tif(requestInfo.id === targetId) {\n\t\t\ttargetIndex = index;\n\t\t}\n\t});\n\treturn targetIndex;\n};\n\n/*\nUpdate the state tiddler that is tracking the outstanding requests\n*/\nHttpClient.prototype.updateRequestTracker = function() {\n\tthis.wiki.addTiddler({title: this.stateTrackerTitle, text: \"\" + this.requests.length});\n};\n\nHttpClient.prototype.initiateHttpRequest = function(options) {\n\tvar self = this,\n\t\tid = this.nextId,\n\t\trequest = new HttpClientRequest(options);\n\tthis.nextId += 1;\n\tthis.requests.push({id: id, request: request});\n\tthis.updateRequestTracker();\n\trequest.send(function(err) {\n\t\tvar targetIndex = self.getRequestIndex(id);\n\t\tif(targetIndex !== null) {\n\t\t\tself.requests.splice(targetIndex,1);\n\t\t\tself.updateRequestTracker();\n\t\t}\n\t});\n\treturn id;\n};\n\nHttpClient.prototype.cancelAllHttpRequests = function() {\n\tvar self = this;\n\tif(this.requests.length > 0) {\n\t\tfor(var t=this.requests.length - 1; t--; t>=0) {\n\t\t\tvar requestInfo = this.requests[t];\n\t\t\trequestInfo.request.cancel();\n\t\t}\t\n\t}\n\tthis.requests = [];\n\tthis.updateRequestTracker();\n};\n\nHttpClient.prototype.cancelHttpRequest = function(targetId) {\n\tvar targetIndex = this.getRequestIndex(targetId);\n\tif(targetIndex !== null) {\n\t\tthis.requests[targetIndex].request.cancel();\n\t\tthis.requests.splice(targetIndex,1);\n\t\tthis.updateRequestTracker();\n\t}\n};\n\n/*\nInitiate an HTTP request. Options:\nwiki: wiki to be used for executing action strings\nurl: URL for request\nmethod: method eg GET, POST\nbody: text of request body\nbinary: set to \"yes\" to force binary processing of response payload\noncompletion: action string to be invoked on completion\nonprogress: action string to be invoked on progress updates\nbindStatus: optional title of tiddler to which status (\"pending\", \"complete\", \"error\") should be written\nbindProgress: optional title of tiddler to which the progress of the request (0 to 100) should be bound\nvariables: hashmap of variable name to string value passed to action strings\nheaders: hashmap of header name to header value to be sent with the request\npasswordHeaders: hashmap of header name to password store name to be sent with the request\nqueryStrings: hashmap of query string parameter name to parameter value to be sent with the request\npasswordQueryStrings: hashmap of query string parameter name to password store name to be sent with the request\n*/\nfunction HttpClientRequest(options) {\n\tvar self = this;\n\tconsole.log(\"Initiating an HTTP request\",options)\n\tthis.wiki = options.wiki;\n\tthis.completionActions = options.oncompletion;\n\tthis.progressActions = options.onprogress;\n\tthis.bindStatus = options[\"bindStatus\"];\n\tthis.bindProgress = options[\"bindProgress\"];\n\tthis.method = options.method || \"GET\";\n\tthis.body = options.body || \"\";\n\tthis.binary = options.binary || \"\";\n\tthis.variables = options.variables;\n\tvar url = options.url;\n\t$tw.utils.each(options.queryStrings,function(value,name) {\n\t\turl = $tw.utils.setQueryStringParameter(url,name,value);\n\t});\n\t$tw.utils.each(options.passwordQueryStrings,function(value,name) {\n\t\turl = $tw.utils.setQueryStringParameter(url,name,$tw.utils.getPassword(value) || \"\");\n\t});\n\tthis.url = url;\n\tthis.requestHeaders = {};\n\t$tw.utils.each(options.headers,function(value,name) {\n\t\tself.requestHeaders[name] = value;\n\t});\n\t$tw.utils.each(options.passwordHeaders,function(value,name) {\n\t\tself.requestHeaders[name] = $tw.utils.getPassword(value) || \"\";\n\t});\n}\n\nHttpClientRequest.prototype.send = function(callback) {\n\tvar self = this,\n\t\tsetBinding = function(title,text) {\n\t\t\tif(title) {\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler({title: title, text: text}));\n\t\t\t}\n\t\t};\n\tif(this.url) {\n\t\tsetBinding(this.bindStatus,\"pending\");\n\t\tsetBinding(this.bindProgress,\"0\");\n\t\t// Set the request tracker tiddler\n\t\tvar requestTrackerTitle = this.wiki.generateNewTitle(\"$:/temp/HttpRequest\");\n\t\tthis.wiki.addTiddler({\n\t\t\ttitle: requestTrackerTitle,\n\t\t\ttags: \"$:/tags/HttpRequest\",\n\t\t\ttext: JSON.stringify({\n\t\t\t\turl: this.url,\n\t\t\t\ttype: this.method,\n\t\t\t\tstatus: \"inprogress\",\n\t\t\t\theaders: this.requestHeaders,\n\t\t\t\tdata: this.body\n\t\t\t})\n\t\t});\n\t\tthis.xhr = $tw.utils.httpRequest({\n\t\t\turl: this.url,\n\t\t\ttype: this.method,\n\t\t\theaders: this.requestHeaders,\n\t\t\tdata: this.body,\n\t\t\treturnProp: this.binary === \"\" ? \"responseText\" : \"response\",\n\t\t\tresponseType: this.binary === \"\" ? \"text\" : \"arraybuffer\",\n\t\t\tcallback: function(err,data,xhr) {\n\t\t\t\tvar hasSucceeded = xhr.status >= 200 && xhr.status < 300,\n\t\t\t\t\tcompletionCode = hasSucceeded ? \"complete\" : \"error\",\n\t\t\t\t\theaders = {};\n\t\t\t\t$tw.utils.each(xhr.getAllResponseHeaders().split(\"\\r\\n\"),function(line) {\n\t\t\t\t\tvar pos = line.indexOf(\":\");\n\t\t\t\t\tif(pos !== -1) {\n\t\t\t\t\t\theaders[line.substr(0,pos)] = line.substr(pos + 1).trim();\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tsetBinding(self.bindStatus,completionCode);\n\t\t\t\tsetBinding(self.bindProgress,\"100\");\n\t\t\t\tvar resultVariables = {\n\t\t\t\t\tstatus: xhr.status.toString(),\n\t\t\t\t\tstatusText: xhr.statusText,\n\t\t\t\t\terror: (err || \"\").toString(),\n\t\t\t\t\tdata: (data || \"\").toString(),\n\t\t\t\t\theaders: JSON.stringify(headers)\n\t\t\t\t};\n\t\t\t\t/* Convert data from binary to base64 */\n\t\t\t\tif (xhr.responseType === \"arraybuffer\") {\n\t\t\t\t\tvar binary = \"\",\n\t\t\t\t\t\tbytes = new Uint8Array(data),\n\t\t\t\t\t\tlen = bytes.byteLength;\n\t\t\t\t\tfor (var i=0; i<len; i++) {\n\t\t\t\t\t\tbinary += String.fromCharCode(bytes[i]);\n\t\t\t\t\t}\n\t\t\t\t\tresultVariables.data = $tw.utils.base64Encode(binary,true);\n\t\t\t\t}\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getTiddler(requestTrackerTitle),{\n\t\t\t\t\tstatus: completionCode,\n\t\t\t\t}));\n\t\t\t\tself.wiki.invokeActionString(self.completionActions,undefined,$tw.utils.extend({},self.variables,resultVariables),{parentWidget: $tw.rootWidget});\n\t\t\t\tcallback(hasSucceeded ? null : xhr.statusText);\n\t\t\t\t// console.log(\"Back!\",err,data,xhr);\n\t\t\t},\n\t\t\tprogress: function(lengthComputable,loaded,total) {\n\t\t\t\tif(lengthComputable) {\n\t\t\t\t\tsetBinding(self.bindProgress,\"\" + Math.floor((loaded/total) * 100))\n\t\t\t\t}\n\t\t\t\tself.wiki.invokeActionString(self.progressActions,undefined,{\n\t\t\t\t\tlengthComputable: lengthComputable ? \"yes\" : \"no\",\n\t\t\t\t\tloaded: loaded,\n\t\t\t\t\ttotal: total\n\t\t\t\t},{parentWidget: $tw.rootWidget});\n\t\t\t}\n\t\t});\n\t}\n};\n\nHttpClientRequest.prototype.cancel = function() {\n\tif(this.xhr) {\n\t\tthis.xhr.abort();\n\t}\n};\n\nexports.HttpClient = HttpClient;\n\n/*\nMake an HTTP request. Options are:\n\turl: URL to retrieve\n\theaders: hashmap of headers to send\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data,xhr)\n\tprogress: optional function invoked with (lengthComputable,loaded,total)\n\treturnProp: string name of the property to return as first argument of callback\n\tresponseType: \"text\" or \"arraybuffer\"\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\turl = options.url,\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\thasHeader = function(targetHeader) {\n\t\t\ttargetHeader = targetHeader.toLowerCase();\n\t\t\tvar result = false;\n\t\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\t\tif(headerTitle.toLowerCase() === targetHeader) {\n\t\t\t\t\tresult = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn result;\n\t\t},\n\t\tgetHeader = function(targetHeader) {\n\t\t\treturn headers[targetHeader] || headers[targetHeader.toLowerCase()];\n\t\t},\n\t\tisSimpleRequest = function(type,headers) {\n\t\t\tif([\"GET\",\"HEAD\",\"POST\"].indexOf(type) === -1) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\tfor(var header in headers) {\n\t\t\t\tif([\"accept\",\"accept-language\",\"content-language\",\"content-type\"].indexOf(header.toLowerCase()) === -1) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(hasHeader(\"Content-Type\") && [\"application/x-www-form-urlencoded\",\"multipart/form-data\",\"text/plain\"].indexOf(getHeader[\"Content-Type\"]) === -1) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\treturn true;\t\n\t\t},\n\t\treturnProp = options.returnProp || \"responseText\",\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tif(type === \"GET\" || type === \"HEAD\") {\n\t\t\t\turl += \"?\" + results.join(\"&\");\n\t\t\t} else {\n\t\t\t\tdata = results.join(\"&\");\n\t\t\t}\n\t\t}\n\t}\n\trequest.responseType = options.responseType || \"text\";\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this[returnProp],this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback($tw.language.getString(\"Error/XMLHttpRequest\") + \": \" + this.status,null,this);\n\t\t}\n\t};\n\t// Handle progress\n\tif(options.progress) {\n\t\trequest.onprogress = function(event) {\n\t\t\tconsole.log(\"Progress event\",event)\n\t\t\toptions.progress(event.lengthComputable,event.loaded,event.total);\n\t\t};\n\t}\n\t// Make the request\n\trequest.open(type,url,true);\n\t// Headers\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !hasHeader(\"Content-Type\")) {\n\t\trequest.setRequestHeader(\"Content-Type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\tif(!hasHeader(\"X-Requested-With\") && !isSimpleRequest(type,headers)) {\n\t\trequest.setRequestHeader(\"X-Requested-With\",\"TiddlyWiki\");\n\t}\n\t// Send data\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e,null,this);\n\t}\n\treturn request;\n};\n\nexports.setQueryStringParameter = function(url,paramName,paramValue) {\n\tvar URL = $tw.browser ? window.URL : require(\"url\").URL,\n\t\tnewUrl;\n\ttry {\n\t\tnewUrl = new URL(url);\n\t} catch(e) {\n\t}\n\tif(newUrl && paramName) {\n\t\tnewUrl.searchParams.set(paramName,paramValue || \"\");\n\t\treturn newUrl.toString();\n\t} else {\n\t\treturn url;\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/keyboard.js":{"title":"$:/core/modules/utils/dom/keyboard.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities; now deprecated. Instead, use $tw.keyboardManager\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n[\"parseKeyDescriptor\",\"checkKeyDescriptor\"].forEach(function(method) {\n\texports[method] = function() {\n\t\tif($tw.keyboardManager) {\n\t\t\treturn $tw.keyboardManager[method].apply($tw.keyboardManager,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\treturn null\n\t\t}\n\t};\n});\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/modal.js":{"title":"$:/core/modules/utils/dom/modal.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\nvar navigator = require(\"$:/core/modules/widgets/navigator.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n\tevent: widget event\n\tvariables: from event.paramObject\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tthis.srcDocument = options.variables && (options.variables.rootwindow === \"true\" ||\n\t\t\t\toptions.variables.rootwindow === \"yes\") ? document :\n\t\t\t\t(options.event && options.event.event && options.event.event.target ? options.event.event.target.ownerDocument : document);\n\tthis.srcWindow = this.srcDocument.defaultView;\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({\n\t\t\tcurrentTiddler: title,\n\t\t\t\"tv-story-list\": (options.event && options.event.widget ? options.event.widget.getVariable(\"tv-story-list\") : \"\"),\n\t\t\t\"tv-history-list\": (options.event && options.event.widget ? options.event.widget.getVariable(\"tv-history-list\") : \"\")\n\t\t},options.variables);\n\n\t// Create the wrapper divs\n\tvar wrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalBackdrop = this.srcDocument.createElement(\"div\"),\n\t\tmodalWrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalHeader = this.srcDocument.createElement(\"div\"),\n\t\theaderTitle = this.srcDocument.createElement(\"h3\"),\n\t\tmodalBody = this.srcDocument.createElement(\"div\"),\n\t\tmodalLink = this.srcDocument.createElement(\"a\"),\n\t\tmodalFooter = this.srcDocument.createElement(\"div\"),\n\t\tmodalFooterHelp = this.srcDocument.createElement(\"span\"),\n\t\tmodalFooterButtons = this.srcDocument.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\tif(tiddler.fields && tiddler.fields.class) {\n\t\t$tw.utils.addClass(wrapper,tiddler.fields.class);\n\t}\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\tvar navigatorTree = {\n\t\t\"type\": \"navigator\",\n\t\t\"attributes\": {\n\t\t\t\"story\": {\n\t\t\t\t\"name\": \"story\",\n\t\t\t\t\"type\": \"string\",\n\t\t\t\t\"value\": variables[\"tv-story-list\"]\n\t\t\t},\n\t\t\t\"history\": {\n\t\t\t\t\"name\": \"history\",\n\t\t\t\t\"type\": \"string\",\n\t\t\t\t\"value\": variables[\"tv-history-list\"]\n\t\t\t}\n\t\t},\n\t\t\"tag\": \"$navigator\",\n\t\t\"isBlock\": true,\n\t\t\"children\": []\n\t};\n\tvar navigatorWidgetNode = new navigator.navigator(navigatorTree, {\n\t\twiki: this.wiki,\n\t\tdocument : this.srcDocument,\n\t\tparentWidget: $tw.rootWidget\n\t});\n\tnavigatorWidgetNode.render(modalBody,null);\n\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(this.srcDocument.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler.fields && tiddler.fields.help) {\n\t\tvar link = this.srcDocument.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\tlink.appendChild(this.srcDocument.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: $tw.language.getString(\"Buttons/Close/Caption\")\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + self.srcWindow.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\tself.srcWindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tself.srcDocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Whether to close the modal dialog when the mask (area outside the modal) is clicked\n\tif(tiddler.fields && (tiddler.fields[\"mask-closable\"] === \"yes\" || tiddler.fields[\"mask-closable\"] === \"true\")) {\n\t\tmodalBackdrop.addEventListener(\"click\",closeHandler,false);\n\t}\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-this.srcWindow.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tthis.srcDocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tvar windowContainer = $tw.pageContainer ? ($tw.pageContainer === this.srcDocument.body.firstChild ? $tw.pageContainer : this.srcDocument.body.firstChild) : null;\n\tif(windowContainer) {\n\t\t$tw.utils.toggleClass(windowContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n\t$tw.utils.toggleClass(this.srcDocument.body,\"tc-modal-prevent-scroll\",this.modalCount > 0);\n};\n\nexports.Modal = Modal;\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/notifier.js":{"title":"$:/core/modules/utils/dom/notifier.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes and roles\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\tnotification.setAttribute(\"role\",\"alert\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/popup.js":{"title":"$:/core/modules/utils/dom/popup.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nGlobal regular expression for parsing the location of a popup.\nThis is also used by the Reveal widget.\n*/\nexports.popupLocationRegExp = /^(@?)\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/\n\n/*\nObjekt containing the available prefixes for coordinates build with the `buildCoordinates` function:\n - csOffsetParent: Uses a coordinate system based on the offset parent (no prefix).\n - csAbsolute: Use an absolute coordinate system (prefix \"@\").\n*/\nexports.coordinatePrefix = { csOffsetParent: \"\", csAbsolute: \"@\" }\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned (one of domNode or domNodeRect is required)\n\tdomNodeRect: rectangle to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n\tfloating: if true, skips registering the popup, meaning that it will need manually clearing\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\n\t// Store the popup details if not already there\n\tif(!options.floating && this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode,\n\t\t\tnoStateReference: options.noStateReference\n\t\t});\n\t}\n\t// Set the state tiddler\n\tvar rect;\n\tif(options.domNodeRect) {\n\t\trect = options.domNodeRect;\n\t} else {\n\t\trect = {\n\t\t\tleft: options.domNode.offsetLeft,\n\t\t\ttop: options.domNode.offsetTop,\n\t\t\twidth: options.domNode.offsetWidth,\n\t\t\theight: options.domNode.offsetHeight\n\t\t};\n\t}\n\tif(options.absolute && options.domNode) {\n\t\t// Walk the offsetParent chain and add the position of the offsetParents to make\n\t\t// the position absolute to the root node of the page.\n\t\tvar currentNode = options.domNode.offsetParent;\n\t\twhile(currentNode) {\n\t\t\trect.left += currentNode.offsetLeft;\n\t\t\trect.top += currentNode.offsetTop;\n\t\t\tcurrentNode = currentNode.offsetParent;\n\t\t}\n\t}\n\tvar popupRect = exports.buildCoordinates(options.absolute?exports.coordinatePrefix.csAbsolute:exports.coordinatePrefix.csOffsetParent,rect);\n\tif(options.noStateReference) {\n\t\toptions.wiki.setText(options.title,\"text\",undefined,popupRect);\n\t} else {\n\t\toptions.wiki.setTextReference(options.title,popupRect);\n\t}\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tif(popup.noStateReference) {\n\t\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t\t} else {\n\t\t\t\tpopup.wiki.deleteTiddler($tw.utils.parseTextReference(popup.title).title);\n        \t\t}\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup.\nThis function is safe to call, even if the popup class was not initialized.\n*/\nexports.readPopupState = function(text) {\n\treturn exports.popupLocationRegExp.test(text);\n};\n\n/*\nParses a coordinate string in the format `(x,y,w,h)` or `@(x,y,z,h)` and returns\nan object containing the position, width and height. The absolute-Mark is boolean\nvalue that indicates the coordinate system of the coordinates. If they start with\nan `@`, `absolute` is set to true and the coordinates are relative to the root\nelement. If the initial `@` is missing, they are relative to the offset parent\nelement and `absoute` is false.\nThis function is safe to call, even if the popup class was not initialized.\n*/\nexports.parseCoordinates = function(coordinates) {\n\tvar match = exports.popupLocationRegExp.exec(coordinates);\n\tif(match) {\n\t\treturn {\n\t\t\tabsolute: (match[1] === \"@\"),\n\t\t\tleft: parseFloat(match[2]),\n\t\t\ttop: parseFloat(match[3]),\n\t\t\twidth: parseFloat(match[4]),\n\t\t\theight: parseFloat(match[5])\n\t\t};\n\t} else {\n\t\treturn false;\n\t}\n}\n\n/*\nBuilds a coordinate string from a coordinate system identifier and an object\ncontaining the left, top, width and height values.\nUse constants defined in coordinatePrefix to specify a coordinate system.\nIf one of the parameters is invalid for building a coordinate string `(0,0,0,0)`\nwill be returned.\nThis function is safe to call, even if the popup class was not initialized.\n*/\nexports.buildCoordinates = function(prefix,position) {\n\tvar coord = prefix + \"(\" + position.left + \",\" + position.top + \",\" + position.width + \",\" + position.height + \")\";\n\tif (exports.popupLocationRegExp.test(coord)) {\n\t\treturn coord;\n\t} else {\n\t\treturn \"(0,0,0,0)\";\n\t}\n}\n\nexports.Popup = Popup;\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/dom/scroller.js":{"title":"$:/core/modules/utils/dom/scroller.js","text":"/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.isScrolling = function() {\n\treturn this.idRequestFrame !== null;\n}\n\nPageScroller.prototype.cancelScroll = function(srcWindow) {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(srcWindow,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\tvar options = {};\n\t\tif($tw.utils.hop(event.paramObject,\"animationDuration\")) {\n\t\t\toptions.animationDuration = event.paramObject.animationDuration;\n\t\t}\n\t\tif(event.paramObject && event.paramObject.selector) {\n\t\t\tthis.scrollSelectorIntoView(null,event.paramObject.selector,null,options);\n\t\t} else {\n\t\t\tthis.scrollIntoView(event.target,null,options);\n\t\t}\n\t\treturn false; // Event was handled\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element,callback,options) {\n\tvar self = this,\n\t\tduration = $tw.utils.hop(options,\"animationDuration\") ? parseInt(options.animationDuration) : $tw.utils.getAnimationDuration(),\n\t\tsrcWindow = element ? element.ownerDocument.defaultView : window;\n\t// Now get ready to scroll the body\n\tthis.cancelScroll(srcWindow);\n\tthis.startTime = Date.now();\n\t// Get the height of any position:fixed toolbars\n\tvar toolbar = srcWindow.document.querySelector(\".tc-adjust-top-of-scroll\"),\n\t\toffset = 0;\n\tif(toolbar) {\n\t\toffset = toolbar.offsetHeight;\n\t}\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar getBounds = function() {\n\t\t\tvar clientBounds = typeof callback === 'function' ? callback() : element.getBoundingClientRect(),\n\t\t\t\tscrollPosition = $tw.utils.getScrollPosition(srcWindow);\n\t\t\treturn {\n\t\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\t\ttop: clientBounds.top + scrollPosition.y - offset,\n\t\t\t\twidth: clientBounds.width,\n\t\t\t\theight: clientBounds.height\n\t\t\t};\n\t\t},\n\t\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t\t// targetPos/targetSize - position and size of the target element\n\t\t// currentPos/currentSize - position and size of the current scroll viewport\n\t\t// returns: new position of the scroll viewport\n\t\tgetEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = targetPos;\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tdrawFrame = function drawFrame() {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll(srcWindow);\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tvar scrollPosition = $tw.utils.getScrollPosition(srcWindow),\n\t\t\t\tbounds = getBounds(),\n\t\t\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,srcWindow.innerWidth),\n\t\t\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,srcWindow.innerHeight);\n\t\t\tsrcWindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\tdrawFrame();\n};\n\nPageScroller.prototype.scrollSelectorIntoView = function(baseElement,selector,callback,options) {\n\tbaseElement = baseElement || document;\n\tvar element = $tw.utils.querySelectorSafe(selector,baseElement);\n\tif(element) {\n\t\tthis.scrollIntoView(element,callback,options);\n\t}\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/edition-info.js":{"title":"$:/core/modules/utils/edition-info.js","text":"/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info = $tw.utils.parseJSONSafe(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"),null);\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n","type":"application/javascript","module-type":"utils-node"},"$:/core/modules/utils/escapecss.js":{"title":"$:/core/modules/utils/escapecss.js","text":"/*\\\ntitle: $:/core/modules/utils/escapecss.js\ntype: application/javascript\nmodule-type: utils\n\nProvides CSS.escape() functionality.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, window: false */\n\"use strict\";\n\nexports.escapeCSS = (function() {\n\t// use browser's native CSS.escape() function if available\n\tif ($tw.browser && window.CSS && window.CSS.escape) {\n\t\treturn window.CSS.escape;\n\t}\n\n\t// otherwise, a utility method is provided\n\t// see also https://drafts.csswg.org/cssom/#serialize-an-identifier\n\n\t/*! https://mths.be/cssescape v1.5.1 by @mathias | MIT license */\n\treturn function(value) {\n\t\tif (arguments.length == 0) {\n\t\t\tthrow new TypeError('`CSS.escape` requires an argument.');\n\t\t}\n\t\tvar string = String(value);\n\t\tvar length = string.length;\n\t\tvar index = -1;\n\t\tvar codeUnit;\n\t\tvar result = '';\n\t\tvar firstCodeUnit = string.charCodeAt(0);\n\t\twhile (++index < length) {\n\t\t\tcodeUnit = string.charCodeAt(index);\n\t\t\t// Note: there’s no need to special-case astral symbols, surrogate\n\t\t\t// pairs, or lone surrogates.\n\n\t\t\t// If the character is NULL (U+0000), then the REPLACEMENT CHARACTER\n\t\t\t// (U+FFFD).\n\t\t\tif (codeUnit == 0x0000) {\n\t\t\t\tresult += '\\uFFFD';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is in the range [\\1-\\1F] (U+0001 to U+001F) or is\n\t\t\t\t// U+007F, […]\n\t\t\t\t(codeUnit >= 0x0001 && codeUnit <= 0x001F) || codeUnit == 0x007F ||\n\t\t\t\t// If the character is the first character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039), […]\n\t\t\t\t(index == 0 && codeUnit >= 0x0030 && codeUnit <= 0x0039) ||\n\t\t\t\t// If the character is the second character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039) and the first character is a `-` (U+002D), […]\n\t\t\t\t(\n\t\t\t\t\tindex == 1 &&\n\t\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 &&\n\t\t\t\t\tfirstCodeUnit == 0x002D\n\t\t\t\t)\n\t\t\t) {\n\t\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character-as-code-point\n\t\t\t\tresult += '\\\\' + codeUnit.toString(16) + ' ';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is the first character and is a `-` (U+002D), and\n\t\t\t\t// there is no second character, […]\n\t\t\t\tindex == 0 &&\n\t\t\t\tlength == 1 &&\n\t\t\t\tcodeUnit == 0x002D\n\t\t\t) {\n\t\t\t\tresult += '\\\\' + string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// If the character is not handled by one of the above rules and is\n\t\t\t// greater than or equal to U+0080, is `-` (U+002D) or `_` (U+005F), or\n\t\t\t// is in one of the ranges [0-9] (U+0030 to U+0039), [A-Z] (U+0041 to\n\t\t\t// U+005A), or [a-z] (U+0061 to U+007A), […]\n\t\t\tif (\n\t\t\t\tcodeUnit >= 0x0080 ||\n\t\t\t\tcodeUnit == 0x002D ||\n\t\t\t\tcodeUnit == 0x005F ||\n\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 ||\n\t\t\t\tcodeUnit >= 0x0041 && codeUnit <= 0x005A ||\n\t\t\t\tcodeUnit >= 0x0061 && codeUnit <= 0x007A\n\t\t\t) {\n\t\t\t\t// the character itself\n\t\t\t\tresult += string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// Otherwise, the escaped character.\n\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character\n\t\t\tresult += '\\\\' + string.charAt(index);\n\n\t\t}\n\t\treturn result;\n\t};\n})();\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/fakedom.js":{"title":"$:/core/modules/utils/fakedom.js","text":"/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_Node = function (){\n\tthrow TypeError(\"Illegal constructor\");\n};\n\nObject.defineProperty(TW_Node.prototype, 'ELEMENT_NODE', {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nObject.defineProperty(TW_Node.prototype, 'TEXT_NODE', {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text + \"\";\n};\n\nObject.setPrototypeOf(TW_TextNode,TW_Node.prototype);\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn this.TEXT_NODE;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis._style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nObject.setPrototypeOf(TW_Element,TW_Node.prototype);\n\nObject.defineProperty(TW_Element.prototype, \"style\", {\n\tget: function() {\n\t\treturn this._style;\n\t},\n\tset: function(str) {\n\t\tvar self = this;\n\t\tstr = str || \"\";\n\t\t$tw.utils.each(str.split(\";\"),function(declaration) {\n\t\t\tvar parts = declaration.split(\":\"),\n\t\t\t\tname = $tw.utils.trim(parts[0]),\n\t\t\t\tvalue = $tw.utils.trim(parts[1]);\n\t\t\tif(name && value) {\n\t\t\t\tself._style[$tw.utils.convertStyleNameToPropertyName(name)] = value;\n\t\t\t}\n\t\t});\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn this.ELEMENT_NODE;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tif(name === \"style\") {\n\t\tthis.style = value;\n\t} else {\n\t\tthis.attributes[name] = value + \"\";\n\t}\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this._style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this._style) {\n\t\t\t\tstyle.push($tw.utils.convertPropertyNameToStyleName(s) + \":\" + this._style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\");\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlTextEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t\tthis.rawTextContent = null;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textInnerHTML\", {\n\tset: function(value) {\n\t\tif(this.isRaw) {\n\t\t\tthis.rawTextContent = value;\n\t\t} else {\n\t\t\tthrow \"Cannot set textInnerHTML of a non-raw TW_Element\";\n\t\t}\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tif(this.rawTextContent === null) {\n\t\t\t\treturn \"\";\n\t\t\t} else {\n\t\t\t\treturn this.rawTextContent;\n\t\t\t}\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn \"\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/utils/filesystem.js":{"title":"$:/core/modules/utils/filesystem.js","text":"/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nReturn the subdirectories of a path\n*/\nexports.getSubdirectories = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn null;\n\t}\n\tvar subdirs = [];\n\t$tw.utils.each(fs.readdirSync(dirPath),function(item) {\n\t\tif($tw.utils.isDirectory(path.resolve(dirPath,item))) {\n\t\t\tsubdirs.push(item);\n\t\t}\n\t});\n\treturn subdirs;\n}\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = path.resolve($tw.utils.removeTrailingSeparator(srcPath));\n\tdstPath = path.resolve($tw.utils.removeTrailingSeparator(dstPath));\n\t// Check that neither director is within the other\n\tif(srcPath.substring(0,dstPath.length) === dstPath || dstPath.substring(0,srcPath.length) === srcPath) {\n\t\treturn \"Cannot copy nested directories\";\n\t}\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = Buffer.alloc(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n/*\nRecursively delete a tree of empty directories\n*/\nexports.deleteEmptyDirs = function(dirpath,callback) {\n\tvar self = this;\n\tfs.readdir(dirpath,function(err,files) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\tif(files.length > 0) {\n\t\t\treturn callback(null);\n\t\t}\n\t\tfs.rmdir(dirpath,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.deleteEmptyDirs(path.dirname(dirpath),callback);\n\t\t});\n\t});\n};\n\n/*\nCreate a fileInfo object for saving a tiddler:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file on disk (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n\tisEditableFile: true if the tiddler was loaded via non-standard options & marked editable\nOptions include:\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\textFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters,\n\tfileInfo: an existing fileInfo to check against\n*/\nexports.generateTiddlerFileInfo = function(tiddler,options) {\n\tvar fileInfo = {}, metaExt;\n\t// Propagate the isEditableFile flag\n\tif(options.fileInfo && !!options.fileInfo.isEditableFile) {\n\t\tfileInfo.isEditableFile = true;\n\t\tfileInfo.originalpath = options.fileInfo.originalpath;\n\t}\n\t// Check if the tiddler has any unsafe fields that can't be expressed in a .tid or .meta file: containing control characters, or leading/trailing whitespace\n\tvar hasUnsafeFields = false;\n\t$tw.utils.each(tiddler.getFieldStrings(),function(value,fieldName) {\n\t\tif(fieldName !== \"text\") {\n\t\t\thasUnsafeFields = hasUnsafeFields || /[\\x00-\\x1F]/mg.test(value);\n\t\t\thasUnsafeFields = hasUnsafeFields || ($tw.utils.trim(value) !== value);\n\t\t}\n\t\thasUnsafeFields = hasUnsafeFields || /:|#/mg.test(fieldName);\n\t});\n\t// Check for field values \n\tif(hasUnsafeFields) {\n\t\t// Save as a JSON file\n\t\tfileInfo.type = \"application/json\";\n\t\tfileInfo.hasMetaFile = false;\n\t} else {\n\t\t// Save as a .tid or a text/binary file plus a .meta file\n\t\tvar tiddlerType = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\tif(tiddlerType === \"text/vnd.tiddlywiki\" || tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t// Save as a .tid file\n\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\tfileInfo.hasMetaFile = false;\n\t\t} else {\n\t\t\t// Save as a text/binary file and a .meta file\n\t\t\tfileInfo.type = tiddlerType;\n\t\t\tfileInfo.hasMetaFile = true;\n\t\t}\n\t\tif(options.extFilters) {\n\t\t\t// Check for extension overrides\n\t\t\tmetaExt = $tw.utils.generateTiddlerExtension(tiddler.fields.title,{\n\t\t\t\textFilters: options.extFilters,\n\t\t\t\twiki: options.wiki\n\t\t\t});\n\t\t\tif(metaExt) {\n\t\t\t\tif(metaExt === \".tid\") {\n\t\t\t\t\t// Overriding to the .tid extension needs special handling\n\t\t\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\t\t\tfileInfo.hasMetaFile = false;\n\t\t\t\t} else if (metaExt === \".json\") {\n\t\t\t\t\t// Overriding to the .json extension needs special handling\n\t\t\t\t\tfileInfo.type = \"application/json\";\n\t\t\t\t\tfileInfo.hasMetaFile = false;\n\t\t\t\t} else {\n\t\t\t\t\t//If the new type matches a known extention, use that MIME type's encoding\n\t\t\t\t\tvar extInfo = $tw.utils.getFileExtensionInfo(metaExt);\n\t\t\t\t\tfileInfo.type = extInfo ? extInfo.type : null;\n\t\t\t\t\tfileInfo.encoding = $tw.utils.getTypeEncoding(metaExt);\n\t\t\t\t\tfileInfo.hasMetaFile = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Take the file extension from the tiddler content type or metaExt\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[fileInfo.type] || {extension: \"\"};\n\t// Generate the filepath\n\tfileInfo.filepath = $tw.utils.generateTiddlerFilepath(tiddler.fields.title,{\n\t\textension: metaExt || contentTypeInfo.extension,\n\t\tdirectory: options.directory,\n\t\tpathFilters: options.pathFilters,\n\t\twiki: options.wiki,\n\t\tfileInfo: options.fileInfo\n\t});\n\treturn fileInfo;\n};\n\n/*\nGenerate the file extension for saving a tiddler\nOptions include:\n\textFilters: optional array of filters to be used to generate the extention\n\twiki: optional wiki for evaluating the extFilters\n*/\nexports.generateTiddlerExtension = function(title,options) {\n\tvar extension;\n\t// Check if any of the extFilters applies\n\tif(options.extFilters && options.wiki) { \n\t\t$tw.utils.each(options.extFilters,function(filter) {\n\t\t\tif(!extension) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\textension = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn extension;\n};\n\n/*\nGenerate the filepath for saving a tiddler\nOptions include:\n\textension: file extension to be added the finished filepath\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n\tfileInfo: an existing fileInfo object to check against\n*/\nexports.generateTiddlerFilepath = function(title,options) {\n\tvar directory = options.directory || \"\",\n\t\textension = options.extension || \"\",\n\t\toriginalpath = (options.fileInfo && options.fileInfo.originalpath) ? options.fileInfo.originalpath : \"\",\n\t\tfilepath;\n\t// Check if any of the pathFilters applies\n\tif(options.pathFilters && options.wiki) {\n\t\t$tw.utils.each(options.pathFilters,function(filter) {\n\t\t\tif(!filepath) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\tfilepath = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\tif(!filepath && !!originalpath) {\n\t\t//Use the originalpath without the extension\n\t\tvar ext = path.extname(originalpath);\n\t\tfilepath = originalpath.substring(0,originalpath.length - ext.length);\n\t} else if(!filepath) {\n\t\tfilepath = title;\n\t\t// Remove any forward or backward slashes so we don't create directories\n\t\tfilepath = filepath.replace(/\\/|\\\\/g,\"_\");\n\t}\n\t// Replace any Windows control codes\n\tfilepath = filepath.replace(/^(con|prn|aux|nul|com[0-9]|lpt[0-9])$/i,\"_$1_\");\n\t// Replace any leading spaces with the same number of underscores\n\tfilepath = filepath.replace(/^ +/,function (u) { return u.replace(/ /g, \"_\")});\n\t//If the path does not start with \".\" or \"..\" && a path seperator, then\n\tif(!/^\\.{1,2}[/\\\\]/g.test(filepath)) {\n\t\t// Don't let the filename start with any dots because such files are invisible on *nix\n\t\tfilepath = filepath.replace(/^\\.+/g,function (u) { return u.replace(/\\./g, \"_\")});\n\t}\n\t// Replace any Unicode control codes\n\tfilepath = filepath.replace(/[\\x00-\\x1f\\x80-\\x9f]/g,\"_\");\n\t// Replace any characters that can't be used in cross-platform filenames\n\tfilepath = $tw.utils.transliterate(filepath.replace(/<|>|~|\\:|\\\"|\\||\\?|\\*|\\^/g,\"_\"));\n\t// Replace any dots or spaces at the end of the extension with the same number of underscores\n\textension = extension.replace(/[\\. ]+$/, function (u) { return u.replace(/[\\. ]/g, \"_\")});\n\t// Truncate the extension if it is too long\n\tif(extension.length > 32) {\n\t\textension = extension.substr(0,32);\n\t}\n\t// If the filepath already ends in the extension then remove it\n\tif(filepath.substring(filepath.length - extension.length) === extension) {\n\t\tfilepath = filepath.substring(0,filepath.length - extension.length);\n\t}\n\t// Truncate the filename if it is too long\n\tif(filepath.length > 200) {\n\t\tfilepath = filepath.substr(0,200);\n\t}\n\t// If the resulting filename is blank (eg because the title is just punctuation)\n\tif(!filepath || /^_+$/g.test(filepath)) {\n\t\t// ...then just use the character codes of the title\n\t\tfilepath = \"\";\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tif(filepath) {\n\t\t\t\tfilepath += \"-\";\n\t\t\t}\n\t\t\tfilepath += char.charCodeAt(0).toString();\n\t\t});\n\t}\n\t// Add a uniquifier if the file already exists\n\tvar fullPath, oldPath = (options.fileInfo) ? options.fileInfo.filepath : undefined,\n\t\tcount = 0;\n\tdo {\n\t\tfullPath = path.resolve(directory,filepath + (count ? \"_\" + count : \"\") + extension);\n\t\tif(oldPath && oldPath == fullPath) {\n\t\t\tbreak;\n\t\t}\n\t\tcount++;\n\t} while(fs.existsSync(fullPath));\n\t// If the last write failed with an error, or if path does not start with:\n\t//\tthe resolved options.directory, the resolved wikiPath directory, the wikiTiddlersPath directory, \n\t//\tor the 'originalpath' directory, then $tw.utils.encodeURIComponentExtended() and resolve to tiddler directory.\n\tvar writePath = $tw.hooks.invokeHook(\"th-make-tiddler-path\",fullPath,fullPath),\n\t\tencode = (options.fileInfo || {writeError: false}).writeError == true;\n\tif(!encode) {\n\t\tencode = !(writePath.indexOf($tw.boot.wikiTiddlersPath) == 0 ||\n\t\t\twritePath.indexOf(path.resolve(directory)) == 0 ||\n\t\t\twritePath.indexOf(path.resolve($tw.boot.wikiPath)) == 0 ||\n\t\t\twritePath.indexOf(path.resolve($tw.boot.wikiTiddlersPath,originalpath)) == 0 );\n\t\t}\n\tif(encode) {\n\t\twritePath = path.resolve(directory,$tw.utils.encodeURIComponentExtended(fullPath));\n\t}\n\t// Return the full path to the file\n\treturn writePath;\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFile = function(tiddler,fileInfo,callback) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFile(fileInfo.filepath,tiddler.fields.text || \"\",typeInfo.encoding,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tfs.writeFile(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\",function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\treturn callback(null,fileInfo);\n\t\t\t});\n\t\t});\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFile(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\",function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\treturn callback(null,fileInfo);\n\t\t\t});\n\t\t} else {\n\t\t\tfs.writeFile(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\",function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\treturn callback(null,fileInfo);\n\t\t\t});\n\t\t}\n\t}\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFileSync = function(tiddler,fileInfo) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFileSync(fileInfo.filepath,tiddler.fields.text || \"\",typeInfo.encoding);\n\t\tfs.writeFileSync(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\");\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFileSync(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\");\n\t\t} else {\n\t\t\tfs.writeFileSync(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t}\n\t}\n\treturn fileInfo;\n};\n\n/*\nDelete a file described by the fileInfo if it exits\n*/\nexports.deleteTiddlerFile = function(fileInfo,callback) {\n\t//Only attempt to delete files that exist on disk\n\tif(!fileInfo.filepath || !fs.existsSync(fileInfo.filepath)) {\n\t\t//For some reason, the tiddler is only in memory or we can't modify the file at this path\n\t\t$tw.syncer.displayError(\"Server deleteTiddlerFile task failed for filepath: \"+fileInfo.filepath);\n\t\treturn callback(null,fileInfo);\n\t}\n\t// Delete the file\n\tfs.unlink(fileInfo.filepath,function(err) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Delete the metafile if present\n\t\tif(fileInfo.hasMetaFile && fs.existsSync(fileInfo.filepath + \".meta\")) {\n\t\t\tfs.unlink(fileInfo.filepath + \".meta\",function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\treturn $tw.utils.deleteEmptyDirs(path.dirname(fileInfo.filepath),function(err) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\treturn callback(null,fileInfo);\n\t\t\t\t});\n\t\t\t});\n\t\t} else {\n\t\t\treturn $tw.utils.deleteEmptyDirs(path.dirname(fileInfo.filepath),function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\treturn callback(null,fileInfo);\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nCleanup old files on disk, by comparing the options values:\n\tadaptorInfo from $tw.syncer.tiddlerInfo\n\tbootInfo from $tw.boot.files\n*/\nexports.cleanupTiddlerFiles = function(options,callback) {\n\tvar adaptorInfo = options.adaptorInfo || {},\n\tbootInfo = options.bootInfo || {},\n\ttitle = options.title || \"undefined\";\n\tif(adaptorInfo.filepath && bootInfo.filepath && adaptorInfo.filepath !== bootInfo.filepath) {\n\t\t$tw.utils.deleteTiddlerFile(adaptorInfo,function(err) {\n\t\t\tif(err) {\n\t\t\t\tif ((err.code == \"EPERM\" || err.code == \"EACCES\") && err.syscall == \"unlink\") {\n\t\t\t\t\t// Error deleting the previous file on disk, should fail gracefully\n\t\t\t\t\t$tw.syncer.displayError(\"Server desynchronized. Error cleaning up previous file for tiddler: \\\"\"+title+\"\\\"\",err);\n\t\t\t\t\treturn callback(null,bootInfo);\n\t\t\t\t} else {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn callback(null,bootInfo);\n\t\t});\n\t} else {\n\t\treturn callback(null,bootInfo);\n\t}\n};\n\n})();\n","type":"application/javascript","module-type":"utils-node"},"$:/core/modules/utils/linkedlist.js":{"title":"$:/core/modules/utils/linkedlist.js","text":"/*\\\nmodule-type: utils\ntitle: $:/core/modules/utils/linkedlist.js\ntype: application/javascript\n\nThis is a doubly-linked indexed list intended for manipulation, particularly\npushTop, which it does with significantly better performance than an array.\n\n\\*/\n(function(){\n\nfunction LinkedList() {\n\tthis.clear();\n};\n\nLinkedList.prototype.clear = function() {\n\t// LinkedList performs the duty of both the head and tail node\n\tthis.next = new LLMap();\n\tthis.prev = new LLMap();\n\t// Linked list head initially points to itself\n\tthis.next.set(null, null);\n\tthis.prev.set(null, null);\n\tthis.length = 0;\n};\n\nLinkedList.prototype.remove = function(value) {\n\tif($tw.utils.isArray(value)) {\n\t\tfor(var t=0; t<value.length; t++) {\n\t\t\t_assertString(value[t]);\n\t\t}\n\t\tfor(var t=0; t<value.length; t++) {\n\t\t\t_removeOne(this,value[t]);\n\t\t}\n\t} else {\n\t\t_assertString(value);\n\t\t_removeOne(this,value);\n\t}\n};\n\n/*\nPush behaves like array.push and accepts multiple string arguments. But it also\naccepts a single array argument too, to be consistent with its other methods.\n*/\nLinkedList.prototype.push = function(/* values */) {\n\tvar i, values = arguments;\n\tif($tw.utils.isArray(values[0])) {\n\t\tvalues = values[0];\n\t}\n\tfor(i = 0; i < values.length; i++) {\n\t\t_assertString(values[i]);\n\t}\n\tfor(i = 0; i < values.length; i++) {\n\t\t_linkToEnd(this,values[i]);\n\t}\n\treturn this.length;\n};\n\nLinkedList.prototype.pushTop = function(value) {\n\tvar t;\n\tif($tw.utils.isArray(value)) {\n\t\tfor (t=0; t<value.length; t++) {\n\t\t\t_assertString(value[t]);\n\t\t}\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\t_removeOne(this,value[t]);\n\t\t}\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\t_linkToEnd(this,value[t]);\n\t\t}\n\t} else {\n\t\t_assertString(value);\n\t\t_removeOne(this,value);\n\t\t_linkToEnd(this,value);\n\t}\n};\n\nLinkedList.prototype.each = function(callback) {\n\tvar visits = Object.create(null),\n\t\tvalue = this.next.get(null);\n\twhile(value !== null) {\n\t\tcallback(value);\n\t\tvar next = this.next.get(value);\n\t\tif(Array.isArray(next)) {\n\t\t\tvar i = visits[value] || 0;\n\t\t\tvisits[value] = i+1;\n\t\t\tvalue = next[i];\n\t\t} else {\n\t\t\tvalue = next;\n\t\t}\n\t}\n};\n\nLinkedList.prototype.toArray = function() {\n\tvar output = new Array(this.length),\n\t\tindex = 0;\n\tthis.each(function(value) { output[index++] = value; });\n\treturn output;\n};\n\nLinkedList.prototype.makeTiddlerIterator = function(wiki) {\n\tvar self = this;\n\treturn function(callback) {\n\t\tself.each(function(title) {\n\t\t\tcallback(wiki.getTiddler(title),title);\n\t\t});\n\t};\n};\n\nfunction _removeOne(list,value) {\n\tvar nextEntry = list.next.get(value);\n\tif(nextEntry === undefined) {\n\t\treturn;\n\t}\n\tvar prevEntry = list.prev.get(value),\n\t\tprev = prevEntry,\n\t\tnext = nextEntry,\n\t\tref;\n\tif(Array.isArray(nextEntry)) {\n\t\tnext = nextEntry[0];\n\t\tprev = prevEntry[0];\n\t}\n\t// Relink preceding element.\n\tref = list.next.get(prev);\n\tif(Array.isArray(ref)) {\n\t\tvar i = ref.indexOf(value);\n\t\tref[i] = next;\n\t} else {\n\t\tlist.next.set(prev,next);\n\t}\n\n\t// Now relink following element\n\tref = list.prev.get(next);\n\tif(Array.isArray(ref)) {\n\t\tvar i = ref.indexOf(value);\n\t\tref[i] = prev;\n\t} else {\n\t\tlist.prev.set(next,prev);\n\t}\n\n\t// Delink actual value. If it uses arrays, just remove first entries.\n\tif(Array.isArray(nextEntry) && nextEntry.length > 1) {\n\t\tnextEntry.shift();\n\t\tprevEntry.shift();\n\t} else {\n\t\tlist.next.set(value,undefined);\n\t\tlist.prev.set(value,undefined);\n\t}\n\tlist.length -= 1;\n};\n\n// Sticks the given node onto the end of the list.\nfunction _linkToEnd(list,value) {\n\tvar old = list.next.get(value);\n\tvar last = list.prev.get(null);\n\t// Does it already exists?\n\tif(old !== undefined) {\n\t\tif(!Array.isArray(old)) {\n\t\t\told = [old];\n\t\t\tlist.next.set(value,old);\n\t\t\tlist.prev.set(value,[list.prev.get(value)]);\n\t\t}\n\t\told.push(null);\n\t\tlist.prev.get(value).push(last);\n\t} else {\n\t\tlist.next.set(value,null);\n\t\tlist.prev.set(value,last);\n\t}\n\t// Make the old last point to this new one.\n\tif(value !== last) {\n\t\tvar array = list.next.get(last);\n\t\tif(Array.isArray(array)) {\n\t\t\tarray[array.length-1] = value;\n\t\t} else {\n\t\t\tlist.next.set(last,value);\n\t\t}\n\t\tlist.prev.set(null,value);\n\t} else {\n\t\t// Edge case, the pushed value was already the last value.\n\t\t// The second-to-last nextPtr for that value must point to itself now.\n\t\tvar array = list.next.get(last);\n\t\tarray[array.length-2] = value;\n\t}\n\tlist.length += 1;\n};\n\nfunction _assertString(value) {\n\tif(typeof value !== \"string\") {\n\t\tthrow \"Linked List only accepts string values, not \" + value;\n\t}\n};\n\nvar LLMap = function() {\n\tthis.map = Object.create(null);\n};\n\n// Just a wrapper so our object map can also accept null.\nLLMap.prototype = {\n\tset: function(key,val) {\n\t\t(key === null) ? (this.null = val) : (this.map[key] = val);\n\t},\n\tget: function(key) {\n\t\treturn (key === null) ? this.null : this.map[key];\n\t}\n};\n\nexports.LinkedList = LinkedList;\n\n})();\n","module-type":"utils","type":"application/javascript"},"$:/core/modules/utils/logger.js":{"title":"$:/core/modules/utils/logger.js","text":"/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName,options) {\n\toptions = options || {};\n\tthis.componentName = componentName || \"\";\n\tthis.colour = options.colour || \"white\";\n\tthis.enable = \"enable\" in options ? options.enable : true;\n\tthis.save = \"save\" in options ? options.save : true;\n\tthis.saveLimit = options.saveLimit || 100 * 1024;\n\tthis.saveBufferLogger = this;\n\tthis.buffer = \"\";\n\tthis.alertCount = 0;\n}\n\nLogger.prototype.setSaveBuffer = function(logger) {\n\tthis.saveBufferLogger = logger;\n};\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tvar self = this;\n\tif(this.enable) {\n\t\tif(this.saveBufferLogger.save) {\n\t\t\tthis.saveBufferLogger.buffer += $tw.utils.formatDateString(new Date(),\"YYYY MM DD 0hh:0mm:0ss.0XXX\") + \":\";\n\t\t\t$tw.utils.each(Array.prototype.slice.call(arguments,0),function(arg,index) {\n\t\t\t\tself.saveBufferLogger.buffer += \" \" + arg;\n\t\t\t});\n\t\t\tthis.saveBufferLogger.buffer += \"\\n\";\n\t\t\tthis.saveBufferLogger.buffer = this.saveBufferLogger.buffer.slice(-this.saveBufferLogger.saveLimit);\n\t\t}\n\t\tif(console !== undefined && console.log !== undefined) {\n\t\t\tvar logMessage = [$tw.utils.terminalColour(this.colour) + this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0));\n\t\t\tlogMessage[logMessage.length-1] += $tw.utils.terminalColour();\n\t\t\treturn Function.apply.call(console.log, console, logMessage);\n\t\t}\n\t} \n};\n\n/*\nRead the message buffer\n*/\nLogger.prototype.getBuffer = function() {\n\treturn this.saveBufferLogger.buffer;\n};\n\n/*\nLog a structure as a table\n*/\nLogger.prototype.table = function(value) {\n\t(console.table || console.log)(value);\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\tif(this.enable) {\n\t\t// Prepare the text of the alert\n\t\tvar text = Array.prototype.join.call(arguments,\" \");\n\t\t// Create alert tiddlers in the browser\n\t\tif($tw.browser) {\n\t\t\t// Check if there is an existing alert with the same text and the same component\n\t\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\t\talertFields,\n\t\t\t\texistingCount,\n\t\t\t\tself = this;\n\t\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(alertFields) {\n\t\t\t\texistingCount = alertFields.count || 1;\n\t\t\t} else {\n\t\t\t\talertFields = {\n\t\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\t\ttext: text,\n\t\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\t\tcomponent: this.componentName\n\t\t\t\t};\n\t\t\t\texistingCount = 0;\n\t\t\t\tthis.alertCount += 1;\n\t\t\t}\n\t\t\talertFields.modified = new Date();\n\t\t\tif(++existingCount > 1) {\n\t\t\t\talertFields.count = existingCount;\n\t\t\t} else {\n\t\t\t\talertFields.count = undefined;\n\t\t\t}\n\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t\t// Log the alert as well\n\t\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\t// Print an orange message to the console if not in the browser\n\t\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t\t}\n\t}\n};\n\n/*\nClear outstanding alerts\n*/\nLogger.prototype.clearAlerts = function() {\n\tvar self = this;\n\tif($tw.browser && this.alertCount > 0) {\n\t\t$tw.utils.each($tw.wiki.getTiddlersWithTag(ALERT_TAG),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(tiddler.fields.component === self.componentName) {\n\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t}\n\t\t});\n\t\tthis.alertCount = 0;\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/parsetree.js":{"title":"$:/core/modules/utils/parsetree.js","text":"/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nAdd attribute to parse tree node\nCan be invoked as (node,name,value) or (node,attr)\n*/\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tvar attribute = typeof name === \"object\" ? name : {name: name, type: \"string\", value: value};\n\tname = attribute.name;\n\tnode.attributes = node.attributes || {};\n\tnode.orderedAttributes = node.orderedAttributes || [];\n\tnode.attributes[name] = attribute;\n\tvar foundIndex = -1;\n\t$tw.utils.each(node.orderedAttributes,function(attr,index) {\n\t\tif(attr.name === name) {\n\t\t\tfoundIndex = index;\n\t\t}\n\t});\n\tif(foundIndex === -1) {\n\t\tnode.orderedAttributes.push(attribute);\n\t} else {\n\t\tnode.orderedAttributes[foundIndex] = attribute;\n\t}\n};\n\nexports.getOrderedAttributesFromParseTreeNode = function(node) {\n\tif(node.orderedAttributes) {\n\t\treturn node.orderedAttributes;\n\t} else {\n\t\tvar attributes = [];\n\t\t$tw.utils.each(node.attributes,function(attribute) {\n\t\t\tattributes.push(attribute);\n\t\t});\n\t\treturn attributes.sort(function(a,b) {\n\t\t\treturn a.name < b.name ? -1 : (a.name > b.name ? 1 : 0);\n\t\t});\n\t}\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [],\n\t\tattribute;\n\tnode.attributes = node.attributes || {};\n\tattribute = node.attributes[\"class\"];\n\tif(!attribute) {\n\t\t// If the class attribute does not exist, we must create it first.\n\t\tattribute = {name: \"class\", type: \"string\", value: \"\"};\n\t\tnode.attributes[\"class\"] = attribute;\n\t\tnode.orderedAttributes = node.orderedAttributes || [];\n\t\tnode.orderedAttributes.push(attribute);\n\t}\n\tif(attribute.type === \"string\") {\n\t\tif(attribute.value !== \"\") {\n\t\t\tclasses = attribute.value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tattribute.value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\tvar attribute;\n\tnode.attributes = node.attributes || {};\n\tattribute = node.attributes.style;\n\tif(!attribute) {\n\t\tattribute = {name: \"style\", type: \"string\", value: \"\"};\n\t\tnode.attributes.style = attribute;\n\t\tnode.orderedAttributes = node.orderedAttributes || [];\n\t\tnode.orderedAttributes.push(attribute);\n\t}\n\tif(attribute.type === \"string\") {\n\t\tattribute.value += name + \":\" + value + \";\";\n\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/performance.js":{"title":"$:/core/modules/utils/performance.js","text":"/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap by measurement name of {time:, invocations:}\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n\tthis.showGreeting();\n}\n\nPerformance.prototype.showGreeting = function() {\n\tif($tw.browser) {\n\t\tthis.logger.log(\"Execute $tw.perf.log(); to see filter execution timings\");\n\t}\n};\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nPerformance.prototype.log = function() {\n\tvar self = this,\n\t\ttotalTime = 0,\n\t\torderedMeasures = Object.keys(this.measures).sort(function(a,b) {\n\t\t\tif(self.measures[a].time > self.measures[b].time) {\n\t\t\t\treturn -1;\n\t\t\t} else if (self.measures[a].time < self.measures[b].time) {\n\t\t\t\treturn + 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t});\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\ttotalTime += self.measures[name].time;\n\t});\n\tvar results = []\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\tvar measure = self.measures[name];\n\t\tresults.push({name: name,invocations: measure.invocations, avgTime: measure.time / measure.invocations, totalTime: measure.time, percentTime: (measure.time / totalTime) * 100})\n\t});\n\tself.logger.table(results);\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tif(!(name in self.measures)) {\n\t\t\t\tself.measures[name] = {time: 0, invocations: 0};\n\t\t\t}\n\t\t\tself.measures[name].time += $tw.utils.timer(startTime);\n\t\t\tself.measures[name].invocations++;\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n","type":"application/javascript","module-type":"global"},"$:/core/modules/utils/pluginmaker.js":{"title":"$:/core/modules/utils/pluginmaker.js","text":"/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler = $tw.utils.parseJSONSafe(pluginTiddler.fields.text,null);\n\tif(!jsonPluginTiddler) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\n\" + $tw.language.getString(\"Error/Caption\") + \": \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/transliterate.js":{"title":"$:/core/modules/utils/transliterate.js","text":"/*\\\ntitle: $:/core/modules/utils/transliterate.js\ntype: application/javascript\nmodule-type: utils\n\nTransliteration static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nTransliterate string to ASCII\n\n(Some pairs taken from http://semplicewebsites.com/removing-accents-javascript)\n*/\nexports.transliterationPairs = {\n\t\"Á\":\"A\",\n\t\"Ă\":\"A\",\n\t\"Ắ\":\"A\",\n\t\"Ặ\":\"A\",\n\t\"Ằ\":\"A\",\n\t\"Ẳ\":\"A\",\n\t\"Ẵ\":\"A\",\n\t\"Ǎ\":\"A\",\n\t\"Â\":\"A\",\n\t\"Ấ\":\"A\",\n\t\"Ậ\":\"A\",\n\t\"Ầ\":\"A\",\n\t\"Ẩ\":\"A\",\n\t\"Ẫ\":\"A\",\n\t\"Ä\":\"A\",\n\t\"Ǟ\":\"A\",\n\t\"Ȧ\":\"A\",\n\t\"Ǡ\":\"A\",\n\t\"Ạ\":\"A\",\n\t\"Ȁ\":\"A\",\n\t\"À\":\"A\",\n\t\"Ả\":\"A\",\n\t\"Ȃ\":\"A\",\n\t\"Ā\":\"A\",\n\t\"Ą\":\"A\",\n\t\"Å\":\"A\",\n\t\"Ǻ\":\"A\",\n\t\"Ḁ\":\"A\",\n\t\"Ⱥ\":\"A\",\n\t\"Ã\":\"A\",\n\t\"Ꜳ\":\"AA\",\n\t\"Æ\":\"AE\",\n\t\"Ǽ\":\"AE\",\n\t\"Ǣ\":\"AE\",\n\t\"Ꜵ\":\"AO\",\n\t\"Ꜷ\":\"AU\",\n\t\"Ꜹ\":\"AV\",\n\t\"Ꜻ\":\"AV\",\n\t\"Ꜽ\":\"AY\",\n\t\"Ḃ\":\"B\",\n\t\"Ḅ\":\"B\",\n\t\"Ɓ\":\"B\",\n\t\"Ḇ\":\"B\",\n\t\"Ƀ\":\"B\",\n\t\"Ƃ\":\"B\",\n\t\"Ć\":\"C\",\n\t\"Č\":\"C\",\n\t\"Ç\":\"C\",\n\t\"Ḉ\":\"C\",\n\t\"Ĉ\":\"C\",\n\t\"Ċ\":\"C\",\n\t\"Ƈ\":\"C\",\n\t\"Ȼ\":\"C\",\n\t\"Ď\":\"D\",\n\t\"Ḑ\":\"D\",\n\t\"Ḓ\":\"D\",\n\t\"Ḋ\":\"D\",\n\t\"Ḍ\":\"D\",\n\t\"Ɗ\":\"D\",\n\t\"Ḏ\":\"D\",\n\t\"Dz\":\"D\",\n\t\"Dž\":\"D\",\n\t\"Đ\":\"D\",\n\t\"Ƌ\":\"D\",\n\t\"DZ\":\"DZ\",\n\t\"DŽ\":\"DZ\",\n\t\"É\":\"E\",\n\t\"Ĕ\":\"E\",\n\t\"Ě\":\"E\",\n\t\"Ȩ\":\"E\",\n\t\"Ḝ\":\"E\",\n\t\"Ê\":\"E\",\n\t\"Ế\":\"E\",\n\t\"Ệ\":\"E\",\n\t\"Ề\":\"E\",\n\t\"Ể\":\"E\",\n\t\"Ễ\":\"E\",\n\t\"Ḙ\":\"E\",\n\t\"Ë\":\"E\",\n\t\"Ė\":\"E\",\n\t\"Ẹ\":\"E\",\n\t\"Ȅ\":\"E\",\n\t\"È\":\"E\",\n\t\"Ẻ\":\"E\",\n\t\"Ȇ\":\"E\",\n\t\"Ē\":\"E\",\n\t\"Ḗ\":\"E\",\n\t\"Ḕ\":\"E\",\n\t\"Ę\":\"E\",\n\t\"Ɇ\":\"E\",\n\t\"Ẽ\":\"E\",\n\t\"Ḛ\":\"E\",\n\t\"Ꝫ\":\"ET\",\n\t\"Ḟ\":\"F\",\n\t\"Ƒ\":\"F\",\n\t\"Ǵ\":\"G\",\n\t\"Ğ\":\"G\",\n\t\"Ǧ\":\"G\",\n\t\"Ģ\":\"G\",\n\t\"Ĝ\":\"G\",\n\t\"Ġ\":\"G\",\n\t\"Ɠ\":\"G\",\n\t\"Ḡ\":\"G\",\n\t\"Ǥ\":\"G\",\n\t\"Ḫ\":\"H\",\n\t\"Ȟ\":\"H\",\n\t\"Ḩ\":\"H\",\n\t\"Ĥ\":\"H\",\n\t\"Ⱨ\":\"H\",\n\t\"Ḧ\":\"H\",\n\t\"Ḣ\":\"H\",\n\t\"Ḥ\":\"H\",\n\t\"Ħ\":\"H\",\n\t\"Í\":\"I\",\n\t\"Ĭ\":\"I\",\n\t\"Ǐ\":\"I\",\n\t\"Î\":\"I\",\n\t\"Ï\":\"I\",\n\t\"Ḯ\":\"I\",\n\t\"İ\":\"I\",\n\t\"Ị\":\"I\",\n\t\"Ȉ\":\"I\",\n\t\"Ì\":\"I\",\n\t\"Ỉ\":\"I\",\n\t\"Ȋ\":\"I\",\n\t\"Ī\":\"I\",\n\t\"Į\":\"I\",\n\t\"Ɨ\":\"I\",\n\t\"Ĩ\":\"I\",\n\t\"Ḭ\":\"I\",\n\t\"Ꝺ\":\"D\",\n\t\"Ꝼ\":\"F\",\n\t\"Ᵹ\":\"G\",\n\t\"Ꞃ\":\"R\",\n\t\"Ꞅ\":\"S\",\n\t\"Ꞇ\":\"T\",\n\t\"Ꝭ\":\"IS\",\n\t\"Ĵ\":\"J\",\n\t\"Ɉ\":\"J\",\n\t\"Ḱ\":\"K\",\n\t\"Ǩ\":\"K\",\n\t\"Ķ\":\"K\",\n\t\"Ⱪ\":\"K\",\n\t\"Ꝃ\":\"K\",\n\t\"Ḳ\":\"K\",\n\t\"Ƙ\":\"K\",\n\t\"Ḵ\":\"K\",\n\t\"Ꝁ\":\"K\",\n\t\"Ꝅ\":\"K\",\n\t\"Ĺ\":\"L\",\n\t\"Ƚ\":\"L\",\n\t\"Ľ\":\"L\",\n\t\"Ļ\":\"L\",\n\t\"Ḽ\":\"L\",\n\t\"Ḷ\":\"L\",\n\t\"Ḹ\":\"L\",\n\t\"Ⱡ\":\"L\",\n\t\"Ꝉ\":\"L\",\n\t\"Ḻ\":\"L\",\n\t\"Ŀ\":\"L\",\n\t\"Ɫ\":\"L\",\n\t\"Lj\":\"L\",\n\t\"Ł\":\"L\",\n\t\"LJ\":\"LJ\",\n\t\"Ḿ\":\"M\",\n\t\"Ṁ\":\"M\",\n\t\"Ṃ\":\"M\",\n\t\"Ɱ\":\"M\",\n\t\"Ń\":\"N\",\n\t\"Ň\":\"N\",\n\t\"Ņ\":\"N\",\n\t\"Ṋ\":\"N\",\n\t\"Ṅ\":\"N\",\n\t\"Ṇ\":\"N\",\n\t\"Ǹ\":\"N\",\n\t\"Ɲ\":\"N\",\n\t\"Ṉ\":\"N\",\n\t\"Ƞ\":\"N\",\n\t\"Nj\":\"N\",\n\t\"Ñ\":\"N\",\n\t\"NJ\":\"NJ\",\n\t\"ð\":\"d\",\n\t\"Ð\":\"D\",\n\t\"Ó\":\"O\",\n\t\"Ŏ\":\"O\",\n\t\"Ǒ\":\"O\",\n\t\"Ô\":\"O\",\n\t\"Ố\":\"O\",\n\t\"Ộ\":\"O\",\n\t\"Ồ\":\"O\",\n\t\"Ổ\":\"O\",\n\t\"Ỗ\":\"O\",\n\t\"Ö\":\"O\",\n\t\"Ȫ\":\"O\",\n\t\"Ȯ\":\"O\",\n\t\"Ȱ\":\"O\",\n\t\"Ọ\":\"O\",\n\t\"Ő\":\"O\",\n\t\"Ȍ\":\"O\",\n\t\"Ò\":\"O\",\n\t\"Ỏ\":\"O\",\n\t\"Ơ\":\"O\",\n\t\"Ớ\":\"O\",\n\t\"Ợ\":\"O\",\n\t\"Ờ\":\"O\",\n\t\"Ở\":\"O\",\n\t\"Ỡ\":\"O\",\n\t\"Ȏ\":\"O\",\n\t\"Ꝋ\":\"O\",\n\t\"Ꝍ\":\"O\",\n\t\"Ō\":\"O\",\n\t\"Ṓ\":\"O\",\n\t\"Ṑ\":\"O\",\n\t\"Ɵ\":\"O\",\n\t\"Ǫ\":\"O\",\n\t\"Ǭ\":\"O\",\n\t\"Ø\":\"O\",\n\t\"Ǿ\":\"O\",\n\t\"Õ\":\"O\",\n\t\"Ṍ\":\"O\",\n\t\"Ṏ\":\"O\",\n\t\"Ȭ\":\"O\",\n\t\"Ƣ\":\"OI\",\n\t\"Ꝏ\":\"OO\",\n\t\"Ɛ\":\"E\",\n\t\"Ɔ\":\"O\",\n\t\"Ȣ\":\"OU\",\n\t\"Ṕ\":\"P\",\n\t\"Ṗ\":\"P\",\n\t\"Ꝓ\":\"P\",\n\t\"Ƥ\":\"P\",\n\t\"Ꝕ\":\"P\",\n\t\"Ᵽ\":\"P\",\n\t\"Ꝑ\":\"P\",\n\t\"Ꝙ\":\"Q\",\n\t\"Ꝗ\":\"Q\",\n\t\"Ŕ\":\"R\",\n\t\"Ř\":\"R\",\n\t\"Ŗ\":\"R\",\n\t\"Ṙ\":\"R\",\n\t\"Ṛ\":\"R\",\n\t\"Ṝ\":\"R\",\n\t\"Ȑ\":\"R\",\n\t\"Ȓ\":\"R\",\n\t\"Ṟ\":\"R\",\n\t\"Ɍ\":\"R\",\n\t\"Ɽ\":\"R\",\n\t\"Ꜿ\":\"C\",\n\t\"Ǝ\":\"E\",\n\t\"ß\":\"ss\",\n\t\"ẞ\":\"SS\",\n\t\"Ś\":\"S\",\n\t\"Ṥ\":\"S\",\n\t\"Š\":\"S\",\n\t\"Ṧ\":\"S\",\n\t\"Ş\":\"S\",\n\t\"Ŝ\":\"S\",\n\t\"Ș\":\"S\",\n\t\"Ṡ\":\"S\",\n\t\"Ṣ\":\"S\",\n\t\"Ṩ\":\"S\",\n\t\"þ\": 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\t\"Т\":\"T\",\n\t\"Ь\":\"'\",\n\t\"Б\":\"B\",\n\t\"Ю\":\"YU\",\n\t\"я\":\"ya\",\n\t\"ч\":\"ch\",\n\t\"с\":\"s\",\n\t\"м\":\"m\",\n\t\"и\":\"i\",\n\t\"т\":\"t\",\n\t\"ь\":\"'\",\n\t\"б\":\"b\",\n\t\"ю\":\"yu\",\n\t\"…\":\"...\"\n};\n\nexports.transliterate = function(str) {\n\treturn str.replace(/[^A-Za-z0-9\\[\\] ]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || ch\n\t});\n};\n\nexports.transliterateToSafeASCII = function(str) {\n\treturn str.replace(/[^\\x00-\\x7F]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || \"\"\n\t});\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/utils/utils.js":{"title":"$:/core/modules/utils/utils.js","text":"/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar base64utf8 = require(\"$:/core/modules/utils/base64-utf8/base64-utf8.module.js\");\n\n/*\nDisplay a message, in colour if we're on a terminal\n*/\nexports.log = function(text,colour) {\n\tconsole.log($tw.node ? exports.terminalColour(colour) + text + exports.terminalColour() : text);\n};\n\nexports.terminalColour = function(colour) {\n\tif(!$tw.browser && $tw.node && process.stdout.isTTY) {\n\t\tif(colour) {\n\t\t\tvar code = exports.terminalColourLookup[colour];\n\t\t\tif(code) {\n\t\t\t\treturn \"\\x1b[\" + code + \"m\";\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"\\x1b[0m\"; // Cancel colour\n\t\t}\n\t}\n\treturn \"\";\n};\n\nexports.terminalColourLookup = {\n\t\"black\": \"0;30\",\n\t\"red\": \"0;31\",\n\t\"green\": \"0;32\",\n\t\"brown/orange\": \"0;33\",\n\t\"blue\": \"0;34\",\n\t\"purple\": \"0;35\",\n\t\"cyan\": \"0;36\",\n\t\"light gray\": \"0;37\"\n};\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\texports.log(text,\"brown/orange\");\n};\n\n/*\nLog a table of name: value pairs\n*/\nexports.logTable = function(data) {\n\tif(console.table) {\n\t\tconsole.table(data);\n\t} else {\n\t\t$tw.utils.each(data,function(value,name) {\n\t\t\tconsole.log(name + \": \" + value);\n\t\t});\n\t}\n}\n\n/*\nReturn the integer represented by the str (string).\nReturn the dflt (default) parameter if str is not a base-10 number.\n*/\nexports.getInt = function(str,deflt) {\n\tvar i = parseInt(str,10);\n\treturn isNaN(i) ? deflt : i;\n}\n\n/*\nRepeatedly replaces a substring within a string. Like String.prototype.replace, but without any of the default special handling of $ sequences in the replace string\n*/\nexports.replaceString = function(text,search,replace) {\n\treturn text.replace(search,function() {\n\t\treturn replace;\n\t});\n};\n\n/*\nRepeats a string\n*/\nexports.repeat = function(str,count) {\n\tvar result = \"\";\n\tfor(var t=0;t<count;t++) {\n\t\tresult += str;\n\t}\n\treturn result;\n};\n\n/*\nCheck if a string starts with another string\n*/\nexports.startsWith = function(str,search) {\n\treturn str.substring(0, search.length) === search;\n};\n\n/*\nCheck if a string ends with another string\n*/\nexports.endsWith = function(str,search) {\n\treturn str.substring(str.length - search.length) === search;\n};\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\nexports.trimPrefix = function(str,unwanted) {\n\tif(typeof str === \"string\" && typeof unwanted === \"string\") {\n\t\tif(unwanted === \"\") {\n\t\t\treturn str.replace(/^\\s\\s*/, '');\n\t\t} else {\n\t\t\t// Safely regexp-escape the unwanted text\n\t\t\tunwanted = unwanted.replace(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\t\t\tvar regex = new RegExp('^(' + unwanted + ')+');\n\t\t\treturn str.replace(regex, '');\n\t\t}\n\t} else {\n\t\treturn str;\n\t}\n};\n\nexports.trimSuffix = function(str,unwanted) {\n\tif(typeof str === \"string\" && typeof unwanted === \"string\") {\n\t\tif(unwanted === \"\") {\n\t\t\treturn str.replace(/\\s\\s*$/, '');\n\t\t} else {\n\t\t\t// Safely regexp-escape the unwanted text\n\t\t\tunwanted = unwanted.replace(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\t\t\tvar regex = new RegExp('(' + unwanted + ')+$');\n\t\t\treturn str.replace(regex, '');\n\t\t}\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nConvert a string to sentence case (ie capitalise first letter)\n*/\nexports.toSentenceCase = function(str) {\n\treturn (str || \"\").replace(/^\\S/, function(c) {return c.toUpperCase();});\n}\n\n/*\nConvert a string to title case (ie capitalise each initial letter)\n*/\nexports.toTitleCase = function(str) {\n\treturn (str || \"\").replace(/(^|\\s)\\S/g, function(c) {return c.toUpperCase();});\n}\n\n/*\nFind the line break preceding a given position in a string\nReturns position immediately after that line break, or the start of the string\n*/\nexports.findPrecedingLineBreak = function(text,pos) {\n\tvar result = text.lastIndexOf(\"\\n\",pos - 1);\n\tif(result === -1) {\n\t\tresult = 0;\n\t} else {\n\t\tresult++;\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nFind the line break following a given position in a string\n*/\nexports.findFollowingLineBreak = function(text,pos) {\n\t// Cut to just past the following line break, or to the end of the text\n\tvar result = text.indexOf(\"\\n\",pos);\n\tif(result === -1) {\n\t\tresult = text.length;\n\t} else {\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nDetermine whether an array-item is an object-property\n*/\nexports.hopArray = function(object,array) {\n\tfor(var i=0; i<array.length; i++) {\n\t\tif($tw.utils.hop(object,array[i])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n\treturn array;\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tif(object) {\n\t\tObject.freeze(object);\n\t\tfor(key in object) {\n\t\t\tproperty = object[key];\n\t\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\t\tdeepFreeze(property);\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatTitleString = function(template,options) {\n\tvar base = options.base || \"\",\n\t\tseparator = options.separator || \"\",\n\t\tcounter = options.counter || \"\";\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^\\$basename\\$/i, function() {\n\t\t\t\treturn base;\n\t\t\t}],\n\t\t\t[/^\\$count:(\\d+)\\$/i, function(match) {\n\t\t\t\treturn $tw.utils.pad(counter,match[1]);\n\t\t\t}],\n\t\t\t[/^\\$separator\\$/i, function() {\n\t\t\t\treturn separator;\n\t\t\t}],\n\t\t\t[/^\\$count\\$/i, function() {\n\t\t\t\treturn counter + \"\";\n\t\t\t}]\n\t\t];\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call(null,match);\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^TIMESTAMP/, function() {\n\t\t\t\treturn date.getTime();\n\t\t\t}],\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date),4);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear(),4);\n\t\t\t}],\n\t\t\t[/^aYYYY/, function() {\n\t\t\t\treturn $tw.utils.pad(Math.abs(date.getFullYear()),4);\n\t\t\t}],\n\t\t\t[/^\\{era:([^,\\|}]*)\\|([^}\\|]*)\\|([^}]*)\\}/, function(match) {\n\t\t\t\tvar year = date.getFullYear();\n\t\t\t\treturn year === 0 ? match[2] : (year < 0 ? match[1] : match[3]);\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0XXX/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMilliseconds(),3);\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^0ddddd/, function() {\n\t\t\t\treturn $tw.utils.pad(Math.floor((date - new Date(date.getFullYear(), 0, 0)) / 1000 / 60 / 60 / 24),3);\n\t\t\t}],\n\t\t\t[/^ddddd/, function() {\n\t\t\t\treturn Math.floor((date - new Date(date.getFullYear(), 0, 0)) / 1000 / 60 / 60 / 24);\n\t\t\t}],\n\t\t\t[/^dddd/, function() {\n\t\t\t\treturn [7,1,2,3,4,5,6][date.getDay()];\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^XXX/, function() {\n\t\t\t\treturn date.getMilliseconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\t// If the user wants everything in UTC, shift the datestamp\n\t// Optimize for format string that essentially means\n\t// 'return raw UTC (tiddlywiki style) date string.'\n\tif(t.indexOf(\"[UTC]\") == 0 ) {\n\t\tif(t == \"[UTC]YYYY0MM0DD0hh0mm0ssXXX\")\n\t\t\treturn $tw.utils.stringifyDate(date || new Date());\n\t\tvar offset = date.getTimezoneOffset() ; // in minutes\n\t\tdate = new Date(date.getTime()+offset*60*1000) ;\n\t\tt = t.substr(5) ;\n\t}\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call(null,match);\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar x = new Date(dt.getFullYear(),0,1);\n\tvar n = Math.floor((dt.getTime() - x.getTime()) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\",   duration:      365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\",  duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\",    duration:            24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\",   duration:                 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration:                      60 * 1000},\n\t\t{name: \"Seconds\", duration:                           1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&amp;\", < to \"&lt;\", > to \"&gt;\", \" to \"&quot;\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&amp;\").replace(/</mg,\"&lt;\").replace(/>/mg,\"&gt;\").replace(/\\\"/mg,\"&quot;\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts like htmlEncode, but forgets the double quote for brevity\nexports.htmlTextEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&amp;\").replace(/</mg,\"&lt;\").replace(/>/mg,\"&gt;\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar converter = String.fromCodePoint || String.fromCharCode,\n\t\te = s.substr(1,s.length-2), // Strip the & and the ;\n\t\tc;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\tc = parseInt(e.substr(2),16);\n\t\t} else {\n\t\t\tc = parseInt(e.substr(1),10);\n\t\t}\n\t\tif(isNaN(c)) {\n\t\t\treturn s;\n\t\t} else {\n\t\t\treturn converter(c);\n\t\t}\n\t} else {\n\t\tc = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn converter(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s, rawUnicode) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\tvar regex = rawUnicode ? /[\\x00-\\x1f]/g : /[\\x00-\\x1f\\x80-\\uFFFF]/g;\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\')            // backslash\n\t\t.replace(/\"/g, '\\\\\"')              // double quote character\n\t\t.replace(/'/g, \"\\\\'\")              // single quote character\n\t\t.replace(/\\r/g, '\\\\r')             // carriage return\n\t\t.replace(/\\n/g, '\\\\n')             // line feed\n\t\t.replace(regex, exports.escape);   // non-ASCII characters\n};\n\n// Turns a string into a legal JSON string\n// Derived from peg.js, thanks to David Majda\nexports.jsonStringify = function(s, rawUnicode) {\n\t// See http://www.json.org/\n\tvar regex = rawUnicode ? /[\\x00-\\x1f]/g : /[\\x00-\\x1f\\x80-\\uFFFF]/g;\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\')            // backslash\n\t\t.replace(/\"/g, '\\\\\"')              // double quote character\n\t\t.replace(/\\r/g, '\\\\r')             // carriage return\n\t\t.replace(/\\n/g, '\\\\n')             // line feed\n\t\t.replace(/\\x08/g, '\\\\b')           // backspace\n\t\t.replace(/\\x0c/g, '\\\\f')           // formfeed\n\t\t.replace(/\\t/g, '\\\\t')             // tab\n\t\t.replace(regex,function(s) {\n\t\t\treturn '\\\\u' + $tw.utils.pad(s.charCodeAt(0).toString(16).toUpperCase(),4);\n\t\t}); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n    return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n/*\nExtended version of encodeURIComponent that encodes additional characters including\nthose that are illegal within filepaths on various platforms including Windows\n*/\nexports.encodeURIComponentExtended = function(s) {\n\treturn encodeURIComponent(s).replace(/[!'()*]/g,function(c) {\n\t\treturn \"%\" + c.charCodeAt(0).toString(16).toUpperCase();\n\t});\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /^(?:file|http|https|mailto|ftp|irc|news|obsidian|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,0);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\t// Since v5.2.x, there are no restrictions on characters in field names\n\treturn name;\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10) || 0;\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nBase64 utility functions that work in either browser or Node.js\n*/\nif(typeof window !== 'undefined') {\n\texports.btoa = function(binstr) { return window.btoa(binstr); }\n\texports.atob = function(b64) { return window.atob(b64); }\n} else {\n\texports.btoa = function(binstr) {\n\t\treturn Buffer.from(binstr, 'binary').toString('base64');\n\t}\n\texports.atob = function(b64) {\n\t\treturn Buffer.from(b64, 'base64').toString('binary');\n\t}\n}\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64,binary,urlsafe) {\n\tvar encoded = urlsafe ? string64.replace(/_/g,'/').replace(/-/g,'+') : string64;\n\tif(binary) return exports.atob(encoded)\n\telse return base64utf8.base64.decode.call(base64utf8,encoded);\n};\n\n/*\nEncode a string to base64\n*/\nexports.base64Encode = function(string64,binary,urlsafe) {\n\tvar encoded;\n\tif(binary) encoded = exports.btoa(string64);\n\telse encoded = base64utf8.base64.encode.call(base64utf8,string64);\n\tif(urlsafe) {\n\t\tencoded = encoded.replace(/\\+/g,'-').replace(/\\//g,'_');\n\t}\n\treturn encoded;\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\n\t\tm =  r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type,_canonical_uri) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tif(_canonical_uri) {\n\t\tparts.push(_canonical_uri);\n\t} else {\n\t\tparts.push(\"data:\");\n\t\tparts.push(type);\n\t\tparts.push(isBase64 ? \";base64\" : \"\");\n\t\tparts.push(\",\");\n\t\tparts.push(isBase64 ? text : encodeURIComponent(text));\n\t}\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n/*\nIE does not have an endsWith function\n*/\nexports.strEndsWith = function(str,ending,position) {\n\tif(str.endsWith) {\n\t\treturn str.endsWith(ending,position);\n\t} else {\n\t\tif (typeof position !== 'number' || !isFinite(position) || Math.floor(position) !== position || position > str.length) {\n\t\t\tposition = str.length;\n\t\t}\n\t\tposition -= ending.length;\n\t\tvar lastIndex = str.indexOf(ending, position);\n\t\treturn lastIndex !== -1 && lastIndex === position;\n\t}\n};\n\n/*\nReturn system information useful for debugging\n*/\nexports.getSystemInfo = function(str,ending,position) {\n\tvar results = [],\n\t\tsave = function(desc,value) {\n\t\t\tresults.push(desc + \": \" + value);\n\t\t};\n\tif($tw.browser) {\n\t\tsave(\"User Agent\",navigator.userAgent);\n\t\tsave(\"Online Status\",window.navigator.onLine);\n\t}\n\tif($tw.node) {\n\t\tsave(\"Node Version\",process.version);\n\t}\n\treturn results.join(\"\\n\");\n};\n\nexports.parseNumber = function(str) {\n\treturn parseFloat(str) || 0;\n};\n\nexports.parseInt = function(str) {\n\treturn parseInt(str,10) || 0;\n};\n\nexports.stringifyNumber = function(num) {\n\treturn num + \"\";\n};\n\nexports.makeCompareFunction = function(type,options) {\n\toptions = options || {};\n\t// set isCaseSensitive to true if not defined in options\n\tvar isCaseSensitive = (options.isCaseSensitive === false) ? false : true,\n\t\tgt = options.invert ? -1 : +1,\n\t\tlt = options.invert ? +1 : -1,\n\t\tcompare = function(a,b) {\n\t\t\tif(a > b) {\n\t\t\t\treturn gt ;\n\t\t\t} else if(a < b) {\n\t\t\t\treturn lt;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t},\n\t\ttypes = {\n\t\t\t\"number\": function(a,b) {\n\t\t\t\treturn compare($tw.utils.parseNumber(a),$tw.utils.parseNumber(b));\n\t\t\t},\n\t\t\t\"integer\": function(a,b) {\n\t\t\t\treturn compare($tw.utils.parseInt(a),$tw.utils.parseInt(b));\n\t\t\t},\n\t\t\t\"string\": function(a,b) {\n\t\t\t\tif(!isCaseSensitive) {\n\t\t\t\t\ta = a.toLowerCase();\n\t\t\t\t\tb = b.toLowerCase();\n\t\t\t\t}\n\t\t\t\treturn compare(\"\" + a,\"\" + b);\n\t\t\t},\n\t\t\t\"date\": function(a,b) {\n\t\t\t\tvar dateA = $tw.utils.parseDate(a),\n\t\t\t\t\tdateB = $tw.utils.parseDate(b);\n\t\t\t\tif(!isFinite(dateA)) {\n\t\t\t\t\tdateA = new Date(0);\n\t\t\t\t}\n\t\t\t\tif(!isFinite(dateB)) {\n\t\t\t\t\tdateB = new Date(0);\n\t\t\t\t}\n\t\t\t\treturn compare(dateA,dateB);\n\t\t\t},\n\t\t\t\"version\": function(a,b) {\n\t\t\t\treturn $tw.utils.compareVersions(a,b);\n\t\t\t},\n\t\t\t\"alphanumeric\": function(a,b) {\n\t\t\t\tif(!isCaseSensitive) {\n\t\t\t\t\ta = a.toLowerCase();\n\t\t\t\t\tb = b.toLowerCase();\n\t\t\t\t}\n\t\t\t\treturn options.invert ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t\t}\n\t\t};\n\treturn (types[type] || types[options.defaultType] || types.number);\n};\n\n})();\n","type":"application/javascript","module-type":"utils"},"$:/core/modules/widgets/action-confirm.js":{"title":"$:/core/modules/widgets/action-confirm.js","text":"/*\\\n\ntitle: $:/core/modules/widgets/action-confirm.js\ntype: application/javascript\nmodule-type: widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ConfirmWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nConfirmWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nConfirmWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.parentDomNode = parent;\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nConfirmWidget.prototype.execute = function() {\n\tthis.message = this.getAttribute(\"$message\",$tw.language.getString(\"ConfirmAction\"));\n\tthis.prompt = (this.getAttribute(\"$prompt\",\"yes\") == \"no\" ? false : true);\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nConfirmWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$message\"] || changedAttributes[\"$prompt\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nConfirmWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar invokeActions = true,\n\t\thandled = true,\n\t    \twin = event && event.event && event.event.view ? event.event.view : window;\n\tif(this.prompt) {\n\t\tinvokeActions = win.confirm(this.message);\n\t}\n\tif(invokeActions) {\n\t\thandled = this.invokeActions(triggeringWidget,event);\n\t}\n\treturn handled;\n};\n\nConfirmWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nexports[\"action-confirm\"] = ConfirmWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-createtiddler.js":{"title":"$:/core/modules/widgets/action-createtiddler.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-createtiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to create a new tiddler with a unique name and specified fields.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw:false, require:false, exports:false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CreateTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCreateTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCreateTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Render children\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCreateTiddlerWidget.prototype.execute = function() {\n\tthis.actionBaseTitle = this.getAttribute(\"$basetitle\");\n\tthis.hasBase = !!this.actionBaseTitle;\n\tthis.actionSaveTitle = this.getAttribute(\"$savetitle\");\n\tthis.actionSaveDraftTitle = this.getAttribute(\"$savedrafttitle\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n\t//Following params are new since 5.1.22\n\tthis.actionTemplate = this.getAttribute(\"$template\");\n\tthis.useTemplate = !!this.actionTemplate;\n\tthis.actionOverwrite = this.getAttribute(\"$overwrite\",\"no\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nCreateTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nCreateTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar title = this.wiki.getTiddlerText(\"$:/language/DefaultNewTiddlerTitle\"), // Get the initial new-tiddler title\n\t\tfields = {},\n\t\tcreationFields,\n\t\tmodificationFields;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tfields[name] = attribute;\n\t\t}\n\t});\n\tif(this.actionTimestamp) {\n\t\tcreationFields = this.wiki.getCreationFields();\n\t\tmodificationFields = this.wiki.getModificationFields();\n\t}\n\tif(this.hasBase && this.actionOverwrite === \"no\") {\n\t\ttitle = this.wiki.generateNewTitle(this.actionBaseTitle);\n\t} else if (this.hasBase && this.actionOverwrite === \"yes\") {\n\t\ttitle = this.actionBaseTitle\n\t}\n\t// NO $basetitle BUT $template parameter is available\n\t// the title MUST be unique, otherwise the template would be overwritten\n\tif (!this.hasBase && this.useTemplate) {\n\t\ttitle = this.wiki.generateNewTitle(this.actionTemplate);\n\t} else if (!this.hasBase && !this.useTemplate) {\n\t\t// If no $basetitle and no $template then use initial title\n\t\ttitle = this.wiki.generateNewTitle(title);\n\t}\n\tvar templateTiddler = this.wiki.getTiddler(this.actionTemplate) || {};\n\tthis.wiki.addTiddler(new $tw.Tiddler(templateTiddler.fields,creationFields,fields,modificationFields,{title: title}));\n\tvar draftTitle = this.wiki.generateDraftTitle(title);\n\tif(this.actionSaveTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveTitle,title,this.getVariable(\"currentTiddler\"));\n\t}\n\tif(this.actionSaveDraftTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveDraftTitle,draftTitle,this.getVariable(\"currentTiddler\"));\n\t}\n\tthis.setVariable(\"createTiddler-title\",title);\n\tthis.setVariable(\"createTiddler-draftTitle\",draftTitle);\n\tthis.refreshChildren();\n\treturn true; // Action was invoked\n};\n\nexports[\"action-createtiddler\"] = CreateTiddlerWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-deletefield.js":{"title":"$:/core/modules/widgets/action-deletefield.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\",null);\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {},\n\t\thasChanged = false;\n\tif((this.actionField !== null) && tiddler) {\n\t\tremoveFields[this.actionField] = undefined;\n\t\tif(this.actionField in tiddler.fields) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t});\n\t\tif(hasChanged) {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,removeFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-deletetiddler.js":{"title":"$:/core/modules/widgets/action-deletetiddler.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-listops.js":{"title":"$:/core/modules/widgets/action-listops.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar inputList = this.wiki.getTiddlerList(this.target,field,index),\n\t\t\tsubfilter = \"[all[]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(this.wiki.filterTiddlers(subfilter,this,this.wiki.makeTiddlerIterator(inputList))));\n\t}\n\tif(this.filtertags) {\n\t\tvar tiddler = this.wiki.getTiddler(this.target),\n\t\t\toldtags = tiddler ? (tiddler.fields.tags || []).slice(0) : [],\n\t\t\ttagfilter = $tw.utils.stringifyList(oldtags) + \" \" + this.filtertags,\n\t\t\tnewtags = this.wiki.filterTiddlers(tagfilter,this);\n\t\tif($tw.utils.stringifyList(oldtags.sort()) !== $tw.utils.stringifyList(newtags.sort())) {\n\t\t\tthis.wiki.setText(this.target,\"tags\",undefined,$tw.utils.stringifyList(newtags));\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-log.js":{"title":"$:/core/modules/widgets/action-log.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-log.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to log debug messages\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LogWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLogWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLogWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\nLogWidget.prototype.execute = function(){\n\tthis.message = this.getAttribute(\"$$message\",\"debug\");\n\tthis.logAll = this.getAttribute(\"$$all\",\"no\") === \"yes\" ? true : false;\n\tthis.filter = this.getAttribute(\"$$filter\");\n}\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nLogWidget.prototype.refresh = function(changedTiddlers) {\n\tthis.refreshSelf();\n\treturn true;\n};\n\n/*\nInvoke the action associated with this widget\n*/\nLogWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tthis.log();\n\treturn true; // Action was invoked\n};\n\nLogWidget.prototype.log = function() {\n\tvar data = {},\n\t\tdataCount,\n\t\tallVars = {},\n\t\tfilteredVars;\n\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.substring(0,2) !== \"$$\") {\n\t\t\tdata[name] = attribute;\n\t\t}\n\t});\n\n\tfor(var v in this.variables) {\n\t\tallVars[v] = this.getVariable(v,{defaultValue:\"\"});\n\t}\n\tif(this.filter) {\n\t\tfilteredVars = this.wiki.compileFilter(this.filter).call(this.wiki,this.wiki.makeTiddlerIterator(allVars));\n\t\t$tw.utils.each(filteredVars,function(name) {\n\t\t\tdata[name] = allVars[name];\n\t\t});\n\t}\n\tdataCount = $tw.utils.count(data);\n\n\tconsole.group(this.message);\n\tif(dataCount > 0) {\n\t\t$tw.utils.logTable(data);\n\t}\n\tif(this.logAll || !dataCount) {\n\t\tconsole.groupCollapsed(\"All variables\");\n\t\t$tw.utils.logTable(allVars);\n\t\tconsole.groupEnd();\n\t}\n\tconsole.groupEnd();\n}\n\nexports[\"action-log\"] = LogWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-navigate.js":{"title":"$:/core/modules/widgets/action-navigate.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tevent = event || {};\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateFromClientTop: bounds && bounds.top,\n\t\tnavigateFromClientLeft: bounds && bounds.left,\n\t\tnavigateFromClientWidth: bounds && bounds.width,\n\t\tnavigateFromClientRight: bounds && bounds.right,\n\t\tnavigateFromClientBottom: bounds && bounds.bottom,\n\t\tnavigateFromClientHeight: bounds && bounds.height,\n\t\tnavigateSuppressNavigation: suppressNavigation,\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey,\n\t\tevent: event\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-popup.js":{"title":"$:/core/modules/widgets/action-popup.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-popup.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to trigger a popup.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar Popup = require(\"$:/core/modules/utils/dom/popup.js\");\n\nvar ActionPopupWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionPopupWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionPopupWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionPopupWidget.prototype.execute = function() {\n\tthis.actionState = this.getAttribute(\"$state\");\n\tthis.actionCoords = this.getAttribute(\"$coords\");\n\tthis.floating = this.getAttribute(\"$floating\",\"no\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nActionPopupWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$state\"] || changedAttributes[\"$coords\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionPopupWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Trigger the popup\n\tvar coordinates = Popup.parseCoordinates(this.actionCoords || \"\");\n\tif(coordinates) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: null,\n\t\t\tdomNodeRect: {\n\t\t\t\tleft: coordinates.left,\n\t\t\t\ttop: coordinates.top,\n\t\t\t\twidth: coordinates.width,\n\t\t\t\theight: coordinates.height\n\t\t\t},\n\t\t\ttitle: this.actionState,\n\t\t\twiki: this.wiki,\n\t\t\tfloating: this.floating,\n\t\t\tabsolute: coordinates.absolute\n\t\t});\n\t} else {\n\t\t$tw.popup.cancel(0);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-popup\"] = ActionPopupWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-sendmessage.js":{"title":"$:/core/modules/widgets/action-sendmessage.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n\tthis.actionNames = this.getAttribute(\"$names\");\n\tthis.actionValues = this.getAttribute(\"$values\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the parameters as a hashmap\n\tvar paramObject = Object.create(null);\n\t// Add names/values pairs if present\n\tif(this.actionNames && this.actionValues) {\n\t\tvar names = this.wiki.filterTiddlers(this.actionNames,this),\n\t\t\tvalues = this.wiki.filterTiddlers(this.actionValues,this);\n\t\t$tw.utils.each(names,function(name,index) {\n\t\t\tparamObject[name] = values[index] || \"\";\n\t\t});\n\t}\n\t// Add raw parameters\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tvar params = {\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\tevent: event,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\")\n\t};\n\tthis.dispatchEvent(params);\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-setfield.js":{"title":"$:/core/modules/widgets/action-setfield.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\") || (!this.hasParseTreeNodeAttribute(\"$tiddler\") && this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\t// Nothing to refresh\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\tif(this.actionTiddler) {\n\t\toptions.suppressTimestamp = !this.actionTimestamp;\n\t\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\")  || (typeof this.actionValue == \"string\")) {\n\t\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t\t}\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\") {\n\t\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t\t}\n\t\t});\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/action-setmultiplefields.js":{"title":"$:/core/modules/widgets/action-setmultiplefields.js","text":"/*\\\ntitle: $:/core/modules/widgets/action-setmultiplefields.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set multiple fields or indexes on a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetMultipleFieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetMultipleFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetMultipleFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetMultipleFieldsWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionFields = this.getAttribute(\"$fields\");\n\tthis.actionIndexes = this.getAttribute(\"$indexes\");\n\tthis.actionValues = this.getAttribute(\"$values\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetMultipleFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$fields\"] || changedAttributes[\"$indexes\"] || changedAttributes[\"$values\"] || changedAttributes[\"$timestamp\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetMultipleFieldsWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddler = this.wiki.getTiddler(this.actionTiddler),\n\t\tnames, values = this.wiki.filterTiddlers(this.actionValues,this);\n\tif(this.actionFields) {\n\t\tvar additions = {};\n\t\tnames = this.wiki.filterTiddlers(this.actionFields,this);\n\t\t$tw.utils.each(names,function(fieldname,index) {\n\t\t\tadditions[fieldname] = values[index] || \"\";\n\t\t});\n\t\tvar creationFields = this.actionTimestamp ? this.wiki.getCreationFields() : undefined,\n\t\t\tmodificationFields = this.actionTimestamp ? this.wiki.getModificationFields() : undefined;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(creationFields,tiddler,{title: this.actionTiddler},modificationFields,additions));\n\t} else if(this.actionIndexes) {\n\t\tvar data = this.wiki.getTiddlerData(this.actionTiddler,Object.create(null));\n\t\tnames = this.wiki.filterTiddlers(this.actionIndexes,this);\n\t\t$tw.utils.each(names,function(name,index) {\n\t\t\tdata[name] = values[index] || \"\";\n\t\t});\n\t\tthis.wiki.setTiddlerData(this.actionTiddler,data,{},{suppressTimestamp: !this.actionTimestamp});\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setmultiplefields\"] = SetMultipleFieldsWidget;\n\n})();\n\t","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/browse.js":{"title":"$:/core/modules/widgets/browse.js","text":"/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\tif(this.accept) {\n\t\tdomNode.setAttribute(\"accept\",this.accept);\n\t}\n\t// Nw.js supports \"webkitdirectory\" and \"nwdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\tif(this.nwdirectory) {\n\t\tdomNode.setAttribute(\"nwdirectory\",this.nwdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,{\n\t\t\t\tcallback: function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t},\n\t\t\t\tdeserializer: self.deserializer\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Assign data- attributes\n\tthis.assignAttributes(domNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.deserializer = this.getAttribute(\"deserializer\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.accept = this.getAttribute(\"accept\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n\tthis.nwdirectory = this.getAttribute(\"nwdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\t\n\t}\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/button.js":{"title":"$:/core/modules/widgets/button.js","text":"/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar Popup = require(\"$:/core/modules/utils/dom/popup.js\");\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this,\n\t\ttag = \"button\",\n\t\tdomNode;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tdomNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = (this.popup || this.popupTitle) && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif((this.set || this.setTitle) && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes, this.selectedClass.split(\" \"));\n\t\t\tdomNode.setAttribute(\"aria-checked\", \"true\");\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign data- attributes\n\tthis.assignAttributes(domNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\tif (this.role) {\n\t\tdomNode.setAttribute(\"role\", this.role);\n\t}\n\tif(this.popup || this.popupTitle) {\n\t\tdomNode.setAttribute(\"aria-expanded\",isPoppedUp ? \"true\" : \"false\");\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tdomNode.setAttribute(\"disabled\",true);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(self,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup || self.popupTitle) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set || self.setTitle) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.actions) {\n\t\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\tself.invokeActionString(self.actions,self,event,{modifier: modifierKey});\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Make it draggable if required\n\tif(this.dragTiddler || this.dragFilter) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.dragTiddler;},\n\t\t\tdragFilterFn: function() {return self.dragFilter;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n    return this.setTitle ? (this.setField ? this.wiki.getTiddler(this.setTitle).getFieldString(this.setField) === this.setTo :\n\t\t(this.setIndex ? this.wiki.extractTiddlerDataItem(this.setTitle,this.setIndex) === this.setTo :\n\t\t\tthis.wiki.getTiddlerText(this.setTitle))) || this.defaultSetValue || this.getVariable(\"currentTiddler\") :\n\t\tthis.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.popupTitle ? this.wiki.getTiddler(this.popupTitle) : this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? Popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tevent: event\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\"), event: event});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\tif(this.popupTitle) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\tabsolute: (this.popupAbsCoords === \"yes\"),\n\t\t\ttitle: this.popupTitle,\n\t\t\twiki: this.wiki,\n\t\t\tnoStateReference: true\n\t\t});\n\t} else {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\tabsolute: (this.popupAbsCoords === \"yes\"),\n\t\t\ttitle: this.popup,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tif(this.setTitle) {\n\t\tthis.setField ? this.wiki.setText(this.setTitle,this.setField,undefined,this.setTo) :\n\t\t\t\t(this.setIndex ? this.wiki.setText(this.setTitle,undefined,this.setIndex,this.setTo) :\n\t\t\t\tthis.wiki.setText(this.setTitle,\"text\",undefined,this.setTo));\n\t} else {\n\t\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.role = this.getAttribute(\"role\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\tthis.dragTiddler = this.getAttribute(\"dragTiddler\");\n\tthis.dragFilter = this.getAttribute(\"dragFilter\");\n\tthis.setTitle = this.getAttribute(\"setTitle\");\n\tthis.setField = this.getAttribute(\"setField\");\n\tthis.setIndex = this.getAttribute(\"setIndex\");\n\tthis.popupTitle = this.getAttribute(\"popupTitle\");\n\tthis.popupAbsCoords = this.getAttribute(\"popupAbsCoords\", \"no\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nButtonWidget.prototype.updateDomNodeClasses = function() {\n\tvar domNodeClasses = this.domNode.className.split(\" \"),\n\t\toldClasses = this.class.split(\" \"),\n\t\tnewClasses;\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tnewClasses = this.class.split(\" \");\n\t//Remove classes assigned from the old value of class attribute\n\t$tw.utils.each(oldClasses,function(oldClass){\n\t\tvar i = domNodeClasses.indexOf(oldClass);\n\t\tif(i !== -1) {\n\t\t\tdomNodeClasses.splice(i,1);\n\t\t}\n\t});\n\t//Add new classes from updated class attribute.\n\t$tw.utils.pushTop(domNodeClasses,newClasses);\n\tthis.domNode.className = domNodeClasses.join(\" \");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.actions || changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes.selectedClass || changedAttributes.style || changedAttributes.dragFilter || changedAttributes.dragTiddler || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup]) || (this.popupTitle && changedTiddlers[this.popupTitle]) || changedAttributes.popupAbsCoords || changedAttributes.setTitle || changedAttributes.setField || changedAttributes.setIndex || changedAttributes.popupTitle || changedAttributes.disabled || changedAttributes[\"default\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tif(changedAttributes[\"class\"]) {\n\t\t\tthis.updateDomNodeClasses();\n\t\t}\n\t\tthis.assignAttributes(this.domNodes[0],{\n\t\t\tchangedAttributes: changedAttributes,\n\t\t\tsourcePrefix: \"data-\",\n\t\t\tdestPrefix: \"data-\"\n\t\t});\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/checkbox.js":{"title":"$:/core/modules/widgets/checkbox.js","text":"/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\tvar isChecked;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",\"tc-checkbox \" + this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tisChecked = this.getValue();\n\tif(isChecked) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t\t$tw.utils.addClass(this.labelDomNode,\"tc-checkbox-checked\");\n\t}\n\tif(isChecked === undefined && this.checkboxIndeterminate === \"yes\") {\n\t\tthis.inputDomNode.indeterminate = true;\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Assign data- attributes\n\tthis.assignAttributes(this.inputDomNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler || this.checkboxFilter) {\n\t\tif(tiddler && this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag === \"yes\") {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(tiddler && (this.checkboxField || this.checkboxIndex)) {\n\t\t\t// Same logic applies to fields and indexes\n\t\t\tvar value;\n\t\t\tif(this.checkboxField) {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxField)) {\n\t\t\t\t\tvalue = tiddler.fields[this.checkboxField] || \"\";\n\t\t\t\t} else {\n\t\t\t\t\tvalue = this.checkboxDefault || \"\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tvalue = this.wiki.extractTiddlerDataItem(tiddler,this.checkboxIndex,this.checkboxDefault || \"\");\n\t\t\t}\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Neither value found: were both specified?\n\t\t\tif(this.checkboxChecked && !this.checkboxUnchecked) {\n\t\t\t\treturn false; // Absence of checked value\n\t\t\t}\n\t\t\tif(this.checkboxUnchecked && !this.checkboxChecked) {\n\t\t\t\treturn true; // Absence of unchecked value\n\t\t\t}\n\t\t\tif(this.checkboxChecked && this.checkboxUnchecked) {\n\t\t\t\t// Both specified but neither found: indeterminate or false, depending\n\t\t\t\tif(this.checkboxIndeterminate === \"yes\") {\n\t\t\t\t\treturn undefined;\n\t\t\t\t} else {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxListField || this.checkboxListIndex || this.checkboxFilter) {\n\t\t\t// Same logic applies to lists and filters\n\t\t\tvar list;\n\t\t\tif(this.checkboxListField) {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxListField)) {\n\t\t\t\t\tlist = tiddler.getFieldList(this.checkboxListField) || [];\n\t\t\t\t} else {\n\t\t\t\t\tlist = $tw.utils.parseStringArray(this.checkboxDefault || \"\") || [];\n\t\t\t\t}\n\t\t\t} else if(this.checkboxListIndex) {\n\t\t\t\tlist = $tw.utils.parseStringArray(this.wiki.extractTiddlerDataItem(tiddler,this.checkboxListIndex,this.checkboxDefault || \"\")) || [];\n\t\t\t} else {\n\t\t\t\tlist = this.wiki.filterTiddlers(this.checkboxFilter,this) || [];\n\t\t\t}\n\t\t\tif(list.indexOf(this.checkboxChecked) !== -1) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(list.indexOf(this.checkboxUnchecked) !== -1) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Neither one present\n\t\t\tif(this.checkboxChecked && !this.checkboxUnchecked) {\n\t\t\t\treturn false; // Absence of checked value\n\t\t\t}\n\t\t\tif(this.checkboxUnchecked && !this.checkboxChecked) {\n\t\t\t\treturn true; // Absence of unchecked value\n\t\t\t}\n\t\t\tif(this.checkboxChecked && this.checkboxUnchecked) {\n\t\t\t\t// Both specified but neither found: indeterminate or false, depending\n\t\t\t\tif(this.checkboxIndeterminate === \"yes\") {\n\t\t\t\t\treturn undefined;\n\t\t\t\t} else {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Neither specified, so empty list is false, non-empty is true\n\t\t\treturn !!list.length;\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag),\n\t\tvalue = checked ? this.checkboxChecked : this.checkboxUnchecked,\n\t\tnotValue = checked ? this.checkboxUnchecked : this.checkboxChecked;\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the index if specified\n\tif(this.checkboxIndex) {\n\t\tvar indexValue = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxIndex);\n\t\tif(!tiddler || indexValue !== value) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the list field (or index) if specified\n\tif(this.checkboxListField || this.checkboxListIndex) {\n\t\tvar fieldContents, listContents, oldPos, newPos;\n\t\tif(this.checkboxListField) {\n\t\t\tfieldContents = (tiddler ? tiddler.fields[this.checkboxListField] : undefined) || [];\n\t\t} else {\n\t\t\tfieldContents = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxListIndex);\n\t\t}\n\t\tif($tw.utils.isArray(fieldContents)) {\n\t\t\t// Make a copy so we can modify it without changing original that's refrenced elsewhere\n\t\t\tlistContents = fieldContents.slice(0);\n\t\t} else if(fieldContents === undefined) {\n\t\t\tlistContents = [];\n\t\t} else if(typeof fieldContents === \"string\") {\n\t\t\tlistContents = $tw.utils.parseStringArray(fieldContents);\n\t\t\t// No need to copy since parseStringArray returns a fresh array, not refrenced elsewhere\n\t\t} else {\n\t\t\t// Field was neither an array nor a string; it's probably something that shouldn't become\n\t\t\t// an array (such as a date field), so bail out *without* triggering actions\n\t\t\treturn;\n\t\t}\n\t\toldPos = notValue ? listContents.indexOf(notValue) : -1;\n\t\tnewPos = value ? listContents.indexOf(value) : -1;\n\t\tif(oldPos === -1 && newPos !== -1) {\n\t\t\t// old value absent, new value present: no change needed\n\t\t} else if(oldPos === -1) {\n\t\t\t// neither one was present\n\t\t\tif(value) {\n\t\t\t\tlistContents.push(value);\n\t\t\t\thasChanged = true;\n\t\t\t} else {\n\t\t\t\t// value unspecified? then leave list unchanged\n\t\t\t}\n\t\t} else if(newPos === -1) {\n\t\t\t// old value present, new value absent\n\t\t\tif(value) {\n\t\t\t\tlistContents[oldPos] = value;\n\t\t\t\thasChanged = true;\n\t\t\t} else {\n\t\t\t\tlistContents.splice(oldPos, 1)\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t} else {\n\t\t\t// both were present: just remove the old one, leave new alone\n\t\t\tlistContents.splice(oldPos, 1)\n\t\t\thasChanged = true;\n\t\t}\n\t\tif(this.checkboxListField) {\n\t\t\tnewFields[this.checkboxListField] = $tw.utils.stringifyList(listContents);\n\t\t}\n\t\t// The listIndex case will be handled in the if(hasChanged) block below\n\t}\n\tif(hasChanged) {\n\t\tif(this.checkboxIndex) {\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxIndex,value);\n\t\t} else if(this.checkboxListIndex) {\n\t\t\tvar listIndexValue = (listContents && listContents.length) ? $tw.utils.stringifyList(listContents) : undefined;\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxListIndex,listIndexValue);\n\t\t} else {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\t// Trigger actions\n\tif(this.checkboxActions) {\n\t\tthis.invokeActionString(this.checkboxActions,this,event);\n\t}\n\tif(this.checkboxCheckActions && checked) {\n\t\tthis.invokeActionString(this.checkboxCheckActions,this,event);\n\t}\n\tif(this.checkboxUncheckActions && !checked) {\n\t\tthis.invokeActionString(this.checkboxUncheckActions,this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxActions = this.getAttribute(\"actions\");\n\tthis.checkboxCheckActions = this.getAttribute(\"checkactions\");\n\tthis.checkboxUncheckActions = this.getAttribute(\"uncheckactions\");\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxIndex = this.getAttribute(\"index\");\n\tthis.checkboxListField = this.getAttribute(\"listField\");\n\tthis.checkboxListIndex = this.getAttribute(\"listIndex\");\n\tthis.checkboxFilter = this.getAttribute(\"filter\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxIndeterminate = this.getAttribute(\"indeterminate\",\"no\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.index || changedAttributes.listField || changedAttributes.listIndex || changedAttributes.filter || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes.indeterminate || changedAttributes[\"class\"] || changedAttributes.disabled) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tvar isChecked = this.getValue();\n\t\t\tthis.inputDomNode.checked = !!isChecked;\n\t\t\tthis.inputDomNode.indeterminate = (isChecked === undefined);\n\t\t\trefreshed = true;\n\t\t\tif(isChecked) {\n\t\t\t\t$tw.utils.addClass(this.labelDomNode,\"tc-checkbox-checked\");\n\t\t\t} else {\n\t\t\t\t$tw.utils.removeClass(this.labelDomNode,\"tc-checkbox-checked\");\n\t\t\t}\n\t\t}\n\t\tthis.assignAttributes(this.inputDomNode,{\n\t\t\tchangedAttributes: changedAttributes,\n\t\t\tsourcePrefix: \"data-\",\n\t\t\tdestPrefix: \"data-\"\n\t\t});\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();\n\t","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/codeblock.js":{"title":"$:/core/modules/widgets/codeblock.js","text":"/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.code || changedAttributes.language) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/count.js":{"title":"$:/core/modules/widgets/count.js","text":"/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = \"0\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/diff-text.js":{"title":"$:/core/modules/widgets/diff-text.js","text":"/*\\\ntitle: $:/core/modules/widgets/diff-text.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display a diff between two texts\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tdmp = require(\"$:/core/modules/utils/diff-match-patch/diff_match_patch.js\");\n\nvar DiffTextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDiffTextWidget.prototype = new Widget();\n\nDiffTextWidget.prototype.invisibleCharacters = {\n\t\"\\n\": \"↩︎\\n\",\n\t\"\\r\": \"⇠\",\n\t\"\\t\": \"⇥\\t\"\n};\n\n/*\nRender this widget into the DOM\n*/\nDiffTextWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create the diff\n\tvar dmpObject = new dmp.diff_match_patch(),\n\t\tdiffs = dmpObject.diff_main(this.getAttribute(\"source\",\"\"),this.getAttribute(\"dest\",\"\"));\n\t// Apply required cleanup\n\tswitch(this.getAttribute(\"cleanup\",\"semantic\")) {\n\t\tcase \"none\":\n\t\t\t// No cleanup\n\t\t\tbreak;\n\t\tcase \"efficiency\":\n\t\t\tdmpObject.diff_cleanupEfficiency(diffs);\n\t\t\tbreak;\n\t\tdefault: // case \"semantic\"\n\t\t\tdmpObject.diff_cleanupSemantic(diffs);\n\t\t\tbreak;\n\t}\n\t// Create the elements\n\tvar domContainer = this.document.createElement(\"div\"), \n\t\tdomDiff = this.createDiffDom(diffs);\n\tparent.insertBefore(domContainer,nextSibling);\n\t// Set variables\n\tthis.setVariable(\"diff-count\",diffs.reduce(function(acc,diff) {\n\t\tif(diff[0] !== dmp.DIFF_EQUAL) {\n\t\t\tacc++;\n\t\t}\n\t\treturn acc;\n\t},0).toString());\n\t// Render child widgets\n\tthis.renderChildren(domContainer,null);\n\t// Render the diff\n\tdomContainer.appendChild(domDiff);\n\t// Save our container\n\tthis.domNodes.push(domContainer);\n};\n\n/*\nCreate DOM elements representing a list of diffs\n*/\nDiffTextWidget.prototype.createDiffDom = function(diffs) {\n\tvar self = this;\n\t// Create the element and assign the attributes\n\tvar domPre = this.document.createElement(\"pre\"),\n\t\tdomCode = this.document.createElement(\"code\");\n\t$tw.utils.each(diffs,function(diff) {\n\t\tvar tag = diff[0] === dmp.DIFF_INSERT ? \"ins\" : (diff[0] === dmp.DIFF_DELETE ? \"del\" : \"span\"),\n\t\t\tclassName = diff[0] === dmp.DIFF_INSERT ? \"tc-diff-insert\" : (diff[0] === dmp.DIFF_DELETE ? \"tc-diff-delete\" : \"tc-diff-equal\"),\n\t\t\tdom = self.document.createElement(tag),\n\t\t\ttext = diff[1],\n\t\t\tcurrPos = 0,\n\t\t\tre = /([\\x00-\\x1F])/mg,\n\t\t\tmatch = re.exec(text),\n\t\t\tspan,\n\t\t\tprintable;\n\t\tdom.className = className;\n\t\twhile(match) {\n\t\t\tif(currPos < match.index) {\n\t\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos,match.index)));\n\t\t\t}\n\t\t\tspan = self.document.createElement(\"span\");\n\t\t\tspan.className = \"tc-diff-invisible\";\n\t\t\tprintable = self.invisibleCharacters[match[0]] || (\"[0x\" + match[0].charCodeAt(0).toString(16) + \"]\");\n\t\t\tspan.appendChild(self.document.createTextNode(printable));\n\t\t\tdom.appendChild(span);\n\t\t\tcurrPos = match.index + match[0].length;\n\t\t\tmatch = re.exec(text);\n\t\t}\n\t\tif(currPos < text.length) {\n\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos)));\n\t\t}\n\t\tdomCode.appendChild(dom);\n\t});\n\tdomPre.appendChild(domCode);\n\treturn domPre;\n};\n\n/*\nCompute the internal state of the widget\n*/\nDiffTextWidget.prototype.execute = function() {\n\t// Make child widgets\n\tvar parseTreeNodes;\n\tif(this.parseTreeNode && this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: \"$:/language/Diffs/CountMessage\"}\n\t\t\t}\n\t\t}];\n\t}\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDiffTextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.dest || changedAttributes.cleanup) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports[\"diff-text\"] = DiffTextWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/draggable.js":{"title":"$:/core/modules/widgets/draggable.js","text":"/*\\\ntitle: $:/core/modules/widgets/draggable.js\ntype: application/javascript\nmodule-type: widget\n\nDraggable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DraggableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDraggableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDraggableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this,\n\t\ttag,\n\t\tdomNode,\n\t\tclasses = [];\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Sanitise the specified tag\n\ttag = this.draggableTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"div\";\n\t}\n\t// Create our element\n\tdomNode = this.document.createElement(tag);\n\t// Assign classes\n\tif(this.draggableClasses) {\n\t\tclasses.push(this.draggableClasses);\n\t}\n\tif(!this.dragHandleSelector && this.dragEnable) {\n\t\tclasses.push(\"tc-draggable\");\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Assign data- attributes and style. attributes\n\tthis.assignAttributes(domNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\t// Insert the node into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\t// Add event handlers\n\tif(this.dragEnable) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.getAttribute(\"tiddler\");},\n\t\t\tdragFilterFn: function() {return self.getAttribute(\"filter\");},\n\t\t\tstartActions: self.startActions,\n\t\t\tendActions: self.endActions,\n\t\t\tdragImageType: self.dragImageType,\n\t\t\twidget: this,\n\t\t\tselector: self.dragHandleSelector\n\t\t});\n\t}\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nDraggableWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.draggableTag = this.getAttribute(\"tag\",\"div\");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\tthis.startActions = this.getAttribute(\"startactions\");\n\tthis.endActions = this.getAttribute(\"endactions\");\n\tthis.dragImageType = this.getAttribute(\"dragimagetype\");\n\tthis.dragHandleSelector = this.getAttribute(\"selector\");\n\tthis.dragEnable = this.getAttribute(\"enable\",\"yes\") === \"yes\";\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n\nDraggableWidget.prototype.updateDomNodeClasses = function() {\n\tvar domNodeClasses = this.domNodes[0].className.split(\" \"),\n\t\toldClasses = this.draggableClasses.split(\" \");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\t//Remove classes assigned from the old value of class attribute\n\t$tw.utils.each(oldClasses,function(oldClass){\n\t\tvar i = domNodeClasses.indexOf(oldClass);\n\t\tif(i !== -1) {\n\t\t\tdomNodeClasses.splice(i,1);\n\t\t}\n\t});\n\t//Add new classes from updated class attribute.\n\t$tw.utils.pushTop(domNodeClasses,this.draggableClasses);\n\tthis.domNodes[0].setAttribute(\"class\",domNodeClasses.join(\" \"))\n}\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDraggableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes.selector || changedAttributes.dragimagetype || changedAttributes.enable || changedAttributes.startactions || changedAttributes.endactions) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tif(changedAttributes[\"class\"]) {\n\t\t\tthis.assignDomNodeClasses();\n\t\t}\n\t\tthis.assignAttributes(this.domNodes[0],{\n\t\t\tchangedAttributes: changedAttributes,\n\t\t\tsourcePrefix: \"data-\",\n\t\t\tdestPrefix: \"data-\"\n\t\t});\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.draggable = DraggableWidget;\n\n})();","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/droppable.js":{"title":"$:/core/modules/widgets/droppable.js","text":"/*\\\ntitle: $:/core/modules/widgets/droppable.js\ntype: application/javascript\nmodule-type: widget\n\nDroppable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DroppableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDroppableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDroppableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this,\n\t\ttag = this.parseTreeNode.isBlock ? \"div\" : \"span\",\n\t\tdomNode;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.droppableTag && $tw.config.htmlUnsafeElements.indexOf(this.droppableTag) === -1) {\n\t\ttag = this.droppableTag;\n\t}\n\t// Create element and assign classes\n\tdomNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\tthis.assignDomNodeClasses();\n\t// Assign data- attributes and style. attributes\n\tthis.assignAttributes(domNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\t// Add event handlers\n\tif(this.droppableEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"}\n\t\t]);\n\t} else {\n\t\t$tw.utils.addClass(this.domNode,this.disabledClass);\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDroppableWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDroppableWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally. The hacky second condition is to resolve a problem with Firefox whereby there is an erroneous dragenter event if the node being dragged is within the dropzone\n\tif(this.currentlyEntered.length === 0 || (this.currentlyEntered.length === 1 && this.currentlyEntered[0] === $tw.dragInProgress)) {\n\t\tthis.currentlyEntered = [];\n\t\tif(this.domNodes[0]) {\n\t\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t\t}\n\t}\n};\n\nDroppableWidget.prototype.handleDragEnterEvent  = function(event) {\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragOverEvent  = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Set the drop effect\n\tevent.dataTransfer.dropEffect = this.droppableEffect;\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragLeaveEvent  = function(event) {\n\tthis.leaveDrag(event);\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDropEvent  = function(event) {\n\tvar self = this;\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\tvar dataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Try to import the various data types we understand\n\t$tw.utils.importDataTransfer(dataTransfer,null,function(fieldsArray) {\n\t\tfieldsArray.forEach(function(fields) {\n\t\t\tself.performActions(fields.title || fields.text,event);\n\t\t});\n\t});\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.performActions = function(title,event) {\n\tif(this.droppableActions) {\n\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\tthis.invokeActionString(this.droppableActions,this,event,{actionTiddler: title, modifier: modifierKey});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDroppableWidget.prototype.execute = function() {\n\tthis.droppableActions = this.getAttribute(\"actions\");\n\tthis.droppableEffect = this.getAttribute(\"effect\",\"copy\");\n\tthis.droppableTag = this.getAttribute(\"tag\");\n\tthis.droppableEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\tthis.disabledClass = this.getAttribute(\"disabledClass\",\"\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nDroppableWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-droppable\");\n\tthis.domNode.className = classes.join(\" \");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDroppableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes.enable || changedAttributes.disabledClass || changedAttributes.actions || changedAttributes.effect) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tif(changedAttributes[\"class\"]) {\n\t\t\tthis.assignDomNodeClasses();\n\t\t}\n\t\tthis.assignAttributes(this.domNodes[0],{\n\t\t\tchangedAttributes: changedAttributes,\n\t\t\tsourcePrefix: \"data-\",\n\t\t\tdestPrefix: \"data-\"\n\t\t});\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.droppable = DroppableWidget;\n\n})();","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/dropzone.js":{"title":"$:/core/modules/widgets/dropzone.js","text":"/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tthis.domNode = domNode;\n\tdomNode.className = this.dropzoneClass || \"tc-dropzone\";\n\t// Add event handlers\n\tif(this.dropzoneEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"},\n\t\t\t{name: \"dragend\", handlerObject: this, handlerMethod: \"handleDragEndEvent\"}\n\t\t]);\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\n// Handler for transient event listeners added when the dropzone has an active drag in progress\nDropZoneWidget.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\tif(this.currentlyEntered.length) {\n\t\t\tthis.resetState();\n\t\t}\n\t} else if(event.type === \"dragenter\") {\n\t\tif(event.target && event.target !== this.domNode && !$tw.utils.domContains(this.domNode,event.target)) {\n\t\t\tthis.resetState();\n\t\t}\n\t} else if(event.type === \"dragleave\") {\n\t\t// Check if drag left the window\n\t\tif(event.relatedTarget === null || (event.relatedTarget && event.relatedTarget.nodeName === \"HTML\")) {\n\t\t\tthis.resetState();\n\t\t}\n\t}\n};\n\n// Reset the state of the dropzone after a drag has ended\nDropZoneWidget.prototype.resetState = function() {\n\t$tw.utils.removeClass(this.domNode,\"tc-dragover\");\n\tthis.currentlyEntered = [];\n\tthis.document.body.removeEventListener(\"click\",this,true);\n\tthis.document.body.removeEventListener(\"dragenter\",this,true);\n\tthis.document.body.removeEventListener(\"dragleave\",this,true);\n\tthis.dragInProgress = false;\n};\n\nDropZoneWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\tif(!this.dragInProgress) {\n\t\tthis.dragInProgress = true;\n\t\t// If we're entering for the first time we need to apply highlighting\n\t\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n\t\tthis.document.body.addEventListener(\"click\",this,true);\n\t\tthis.document.body.addEventListener(\"dragenter\",this,true);\n\t\tthis.document.body.addEventListener(\"dragleave\",this,true);\n\t}\n};\n\nDropZoneWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally\n\tif(this.currentlyEntered.length === 0) {\n\t\tthis.resetState();\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent  = function(event) {\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tif(this.filesOnly && !$tw.utils.dragEventContainsFiles(event)) {\n\t\treturn false;\n\t}\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent  = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Check if this is a synthetic event, IE does not allow accessing dropEffect outside of original event handler\n\tif(event.isTrusted) {\n\t\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n\t}\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent  = function(event) {\n\tthis.leaveDrag(event);\n};\n\nDropZoneWidget.prototype.handleDragEndEvent = function(event) {\n\tthis.resetState();\n};\n\nDropZoneWidget.prototype.filterByContentTypes = function(tiddlerFieldsArray) {\n\tvar filteredTypes,\n\t\tfiltered = [],\n\t\ttypes = [];\n\t$tw.utils.each(tiddlerFieldsArray,function(tiddlerFields) {\n\t\ttypes.push(tiddlerFields.type || \"\");\n\t});\n\tfilteredTypes = this.wiki.filterTiddlers(this.contentTypesFilter,this,this.wiki.makeTiddlerIterator(types));\n\t$tw.utils.each(tiddlerFieldsArray,function(tiddlerFields) {\n\t\tif(filteredTypes.indexOf(tiddlerFields.type) !== -1) {\n\t\t\tfiltered.push(tiddlerFields);\n\t\t}\n\t});\n\treturn filtered;\n};\n\nDropZoneWidget.prototype.readFileCallback = function(tiddlerFieldsArray) {\n\tif(this.contentTypesFilter) {\n\t\ttiddlerFieldsArray = this.filterByContentTypes(tiddlerFieldsArray);\n\t}\n\tif(tiddlerFieldsArray.length) {\n\t\tthis.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray), autoOpenOnImport: this.autoOpenOnImport, importTitle: this.importTitle});\n\t\tif(this.actions) {\n\t\t\tthis.invokeActionString(this.actions,this,event,{importTitle: this.importTitle});\n\t\t}\n\t}\n};\n\nDropZoneWidget.prototype.handleDropEvent  = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.readFileCallback(tiddlerFieldsArray);\n\t\t};\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\tthis.resetState();\n\t// Import any files in the drop\n\tvar numFiles = 0;\n\t// If we have type text/vnd.tiddlywiki then skip trying to import files\n\tif(dataTransfer.files && !$tw.utils.dragEventContainsType(event,\"text/vnd.tiddler\")) {\n\t\tnumFiles = this.wiki.readFiles(dataTransfer.files,{\n\t\t\tcallback: readFileCallback,\n\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t});\n\t}\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\tvar fallbackTitle = self.wiki.generateNewTitle(\"Untitled\");\n\t\t//Use the deserializer specified if any\n\t\tif(this.dropzoneDeserializer) {\n\t\t\tfor(var t= 0; t<dataTransfer.items.length; t++) {\n\t\t\t\tvar item = dataTransfer.items[t];\n\t\t\t\tif(item.kind === \"string\") {\n\t\t\t\t\titem.getAsString(function(str){\n\t\t\t\t\t\tvar tiddlerFields = self.wiki.deserializeTiddlers(null,str,{title: fallbackTitle},{deserializer:self.dropzoneDeserializer});\n\t\t\t\t\t\tif(tiddlerFields && tiddlerFields.length) {\n\t\t\t\t\t\t\treadFileCallback(tiddlerFields);\n\t\t\t\t\t\t}\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\t$tw.utils.importDataTransfer(dataTransfer,fallbackTitle,readFileCallback);\n\t\t}\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handlePasteEvent  = function(event) {\n\tvar self = this;\n\tvar\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.readFileCallback(tiddlerFieldsArray);\n\t\t};\n\tvar getItem = function(type) {\n\t\t\ttype = type || \"text/plain\";\n\t\t\treturn function(str) {\n\t\t\t\t// Use the deserializer specified if any\n\t\t\t\tif(self.dropzoneDeserializer) {\n\t\t\t\t\ttiddlerFields = self.wiki.deserializeTiddlers(null,str,{title: self.wiki.generateNewTitle(\"Untitled \" + type)},{deserializer:self.dropzoneDeserializer});\n\t\t\t\t\tif(tiddlerFields && tiddlerFields.length) {\n\t\t\t\t\t\treadFileCallback(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\ttiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled \" + type),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\treadFileCallback([tiddlerFields]);\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1 && !event.target.isContentEditable && !event.twEditor) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),{\n\t\t\t\t\tcallback: readFileCallback,\n\t\t\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\" && ![\"text/html\", \"text/plain\", \"Text\"].includes(item.type) && $tw.utils.itemHasValidDataType(item)) {\n\t\t\t\t// Try to import the various data types we understand\n\t\t\t\tvar fallbackTitle = self.wiki.generateNewTitle(\"Untitled\");\n\t\t\t\t//Use the deserializer specified if any\n\t\t\t\tif(this.dropzoneDeserializer) {\n\t\t\t\t\titem.getAsString(function(str){\n\t\t\t\t\t\tvar tiddlerFields = self.wiki.deserializeTiddlers(null,str,{title: fallbackTitle},{deserializer:self.dropzoneDeserializer});\n\t\t\t\t\t\tif(tiddlerFields && tiddlerFields.length) {\n\t\t\t\t\t\t\treadFileCallback(tiddlerFields);\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\t$tw.utils.importPaste(item,fallbackTitle,readFileCallback);\n\t\t\t\t}\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar tiddlerFields;\n\t\t\t\t// It's important to give getAsString a closure with the right type\n\t\t\t\t// So it can be added to the import queue\n\t\t\t\titem.getAsString(getItem(item.type));\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\tthis.dropzoneClass = this.getAttribute(\"class\");\n\tthis.dropzoneDeserializer = this.getAttribute(\"deserializer\");\n\tthis.dropzoneEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\tthis.autoOpenOnImport = this.getAttribute(\"autoOpenOnImport\");\n\tthis.importTitle = this.getAttribute(\"importTitle\",IMPORT_TITLE);\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.contentTypesFilter = this.getAttribute(\"contentTypesFilter\");\n\tthis.filesOnly = this.getAttribute(\"filesOnly\",\"no\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/edit-binary.js":{"title":"$:/core/modules/widgets/edit-binary.js","text":"/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Get our parameters\n\tvar editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tvar tiddler = this.wiki.getTiddler(editTitle);\n\tvar type = tiddler.fields.type;\n\tvar text = tiddler.fields.text;\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on draft tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!draft.title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!draft.title\"}\n\t\t},\n\t\tchildren: [{\n\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to internal data URI (no external)\n\tif(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets([element]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/edit-bitmap.js":{"title":"$:/core/modules/widgets/edit-bitmap.js","text":"/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 600,\n\tDEFAULT_IMAGE_HEIGHT = 370,\n\tDEFAULT_IMAGE_TYPE = \"image/png\";\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\",\n\tLINE_OPACITY_TITLE = \"$:/config/BitmapEditor/Opacity\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Initialise the editor operations if they've not been done already\n\tif(!this.editorOperations) {\n\t\tEditBitmapWidget.prototype.editorOperations = {};\n\t\t$tw.modules.applyMethods(\"bitmapeditoroperation\",this.editorOperations);\n\t}\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create the wrapper for the toolbar and render its content\n\tthis.toolbarNode = this.document.createElement(\"div\");\n\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\tparent.insertBefore(this.toolbarNode,nextSibling);\n\tthis.domNodes.push(this.toolbarNode);\n\t// Create the on-screen canvas\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Render toolbar child widgets\n\tthis.renderChildren(this.toolbarNode,null);\n\t// // Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n\t// Add widget message listeners\n\tthis.addEventListeners([\n\t\t{type: \"tm-edit-bitmap-operation\", handler: \"handleEditBitmapOperationMessage\"}\n\t]);\n};\n\n/*\nHandle an edit bitmap operation message from the toolbar\n*/\nEditBitmapWidget.prototype.handleEditBitmapOperationMessage = function(event) {\n\t// Invoke the handler\n\tvar handler = this.editorOperations[event.param];\n\tif(handler) {\n\t\thandler.call(this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nJust refresh the toolbar\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nSet the bitmap size variables and refresh the toolbar\n*/\nEditBitmapWidget.prototype.refreshToolbar = function() {\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Refresh each of our child widgets\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.refreshSelf();\n\t});\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\t// Get the current bitmap into an image object\n\tif(tiddler && tiddler.fields.type && tiddler.fields.text) {\n\t\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\n\t} else {\n\t\tcurrImage.width = DEFAULT_IMAGE_WIDTH;\n\t\tcurrImage.height = DEFAULT_IMAGE_HEIGHT;\n\t\tcurrImage.onerror();\n\t}\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\n/*\n** Rotate the canvas left by 90 degrees\n*/\nEditBitmapWidget.prototype.rotateCanvasLeft = function() {\n\t// Get the current size of the image\n\tvar origWidth = this.currCanvas.width,\n\t\torigHeight = this.currCanvas.height;\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\"),\n\t\tnewWidth = origHeight,\n\t\tnewHeight = origWidth;\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.save();\n\tctx.translate(newWidth / 2,newHeight / 2);\n\tctx.rotate(-Math.PI / 2);\n\tctx.drawImage(this.currCanvas,-origWidth / 2,-origHeight / 2);\n\tctx.restore();\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.globalAlpha = parseFloat(this.wiki.getTiddlerText(LINE_OPACITY_TITLE,\"1.0\"));\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseFloat(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"));\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle) || new $tw.Tiddler({title: this.editTitle,type: DEFAULT_IMAGE_TYPE});\n\t// data URIs look like \"data:<type>;base64,<text>\"\n\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type),\n\t\tposColon = dataURL.indexOf(\":\"),\n\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\tposComma = dataURL.indexOf(\",\"),\n\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\ttext = dataURL.substring(posComma+1);\n\tvar update = {type: type, text: text};\n\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/edit-shortcut.js":{"title":"$:/core/modules/widgets/edit-shortcut.js","text":"/*\\\ntitle: $:/core/modules/widgets/edit-shortcut.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display an editable keyboard shortcut\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditShortcutWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditShortcutWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditShortcutWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.inputNode = this.document.createElement(\"input\");\n\t// Assign classes\n\tif(this.shortcutClass) {\n\t\tthis.inputNode.className = this.shortcutClass;\n\t}\n\t// Assign other attributes\n\tif(this.shortcutStyle) {\n\t\tthis.inputNode.setAttribute(\"style\",this.shortcutStyle);\n\t}\n\tif(this.shortcutTooltip) {\n\t\tthis.inputNode.setAttribute(\"title\",this.shortcutTooltip);\n\t}\n\tif(this.shortcutPlaceholder) {\n\t\tthis.inputNode.setAttribute(\"placeholder\",this.shortcutPlaceholder);\n\t}\n\tif(this.shortcutAriaLabel) {\n\t\tthis.inputNode.setAttribute(\"aria-label\",this.shortcutAriaLabel);\n\t}\n\t// Assign the current shortcut\n\tthis.updateInputNode();\n\t// Add event handlers\n\t$tw.utils.addEventListeners(this.inputNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Link into the DOM\n\tparent.insertBefore(this.inputNode,nextSibling);\n\tthis.domNodes.push(this.inputNode);\n\t// Focus the input Node if focus === \"yes\" or focus === \"true\"\n\tif(this.shortcutFocus === \"yes\" || this.shortcutFocus === \"true\") {\n\t\tthis.focus();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditShortcutWidget.prototype.execute = function() {\n\tthis.shortcutTiddler = this.getAttribute(\"tiddler\");\n\tthis.shortcutField = this.getAttribute(\"field\");\n\tthis.shortcutIndex = this.getAttribute(\"index\");\n\tthis.shortcutPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.shortcutDefault = this.getAttribute(\"default\",\"\");\n\tthis.shortcutClass = this.getAttribute(\"class\");\n\tthis.shortcutStyle = this.getAttribute(\"style\");\n\tthis.shortcutTooltip = this.getAttribute(\"tooltip\");\n\tthis.shortcutAriaLabel = this.getAttribute(\"aria-label\");\n\tthis.shortcutFocus = this.getAttribute(\"focus\");\n};\n\n/*\nUpdate the value of the input node\n*/\nEditShortcutWidget.prototype.updateInputNode = function() {\n\tif(this.shortcutField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.shortcutTiddler);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,this.shortcutField)) {\n\t\t\tthis.inputNode.value = tiddler.getFieldString(this.shortcutField);\n\t\t} else {\n\t\t\tthis.inputNode.value = this.shortcutDefault;\n\t\t}\n\t} else if(this.shortcutIndex) {\n\t\tthis.inputNode.value = this.wiki.extractTiddlerDataItem(this.shortcutTiddler,this.shortcutIndex,this.shortcutDefault);\n\t} else {\n\t\tthis.inputNode.value = this.wiki.getTiddlerText(this.shortcutTiddler,this.shortcutDefault);\n\t}\n};\n\n/*\nHandle a dom \"keydown\" event\n*/\nEditShortcutWidget.prototype.handleKeydownEvent = function(event) {\n\t// Ignore shift, ctrl, meta, alt\n\tif(event.keyCode && $tw.keyboardManager.getModifierKeys().indexOf(event.keyCode) === -1) {\n\t\t// Get the shortcut text representation\n\t\tvar value = $tw.keyboardManager.getPrintableShortcuts([{\n\t\t\tctrlKey: event.ctrlKey,\n\t\t\tshiftKey: event.shiftKey,\n\t\t\taltKey: event.altKey,\n\t\t\tmetaKey: event.metaKey,\n\t\t\tkeyCode: event.keyCode\n\t\t}]);\n\t\tif(value.length > 0) {\n\t\t\tthis.wiki.setText(this.shortcutTiddler,this.shortcutField,this.shortcutIndex,value[0]);\n\t\t}\n\t\t// Ignore the keydown if it was already handled\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nfocus the input node\n*/\nEditShortcutWidget.prototype.focus = function() {\n\tif(this.inputNode.focus && this.inputNode.select) {\n\t\tthis.inputNode.focus();\n\t\tthis.inputNode.select();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget needed re-rendering\n*/\nEditShortcutWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.placeholder || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.style || changedAttributes.tooltip || changedAttributes[\"aria-label\"] || changedAttributes.focus) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.shortcutTiddler]) {\n\t\tthis.updateInputNode();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports[\"edit-shortcut\"] = EditShortcutWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/edit-text.js":{"title":"$:/core/modules/widgets/edit-text.js","text":"/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedEngine = require(\"$:/core/modules/editor/engines/framed.js\").FramedEngine,\n\tSimpleEngine = require(\"$:/core/modules/editor/engines/simple.js\").SimpleEngine;\n\nexports[\"edit-text\"] = editTextWidgetFactory(FramedEngine,SimpleEngine);\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/edit.js":{"title":"$:/core/modules/widgets/edit.js","text":"/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\tthis.editFocus = this.getAttribute(\"focus\",\"\");\n\tthis.editCancelPopups = this.getAttribute(\"cancelPopups\",\"\");\n\tthis.editInputActions = this.getAttribute(\"inputActions\");\n\tthis.editRefreshTitle = this.getAttribute(\"refreshTitle\");\n\tthis.editAutoComplete = this.getAttribute(\"autocomplete\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: this.parseTreeNode.attributes,\n\t\tchildren: this.parseTreeNode.children\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.tabindex || changedAttributes.cancelPopups || changedAttributes.inputActions || changedAttributes.refreshTitle || changedAttributes.autocomplete || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/element.js":{"title":"$:/core/modules/widgets/element.js","text":"/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\t// Neuter blacklisted elements\n\tthis.tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(this.tag) !== -1) {\n\t\tthis.tag = \"safe-\" + this.tag;\n\t}\n\t// Restrict tag name to digits, letts and dashes\n\tthis.tag = this.tag.replace(/[^0-9a-zA-Z\\-]/mg,\"\");\n\t// Default to a span\n\tthis.tag = this.tag || \"span\";\n\t// Adjust headings by the current base level\n\tvar headingLevel = [\"h1\",\"h2\",\"h3\",\"h4\",\"h5\",\"h6\"].indexOf(this.tag);\n\tif(headingLevel !== -1) {\n\t\tvar baseLevel = parseInt(this.getVariable(\"tv-adjust-heading-level\",\"0\"),10) || 0;\n\t\theadingLevel = Math.min(Math.max(headingLevel + 1 + baseLevel,1),6);\n\t\tthis.tag = \"h\" + headingLevel;\n\t}\n\t// Select the namespace for the tag\n\tvar XHTML_NAMESPACE = \"http://www.w3.org/1999/xhtml\",\n\t\ttagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: XHTML_NAMESPACE\n\t\t};\n\tthis.namespace = tagNamespaces[this.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tif(this.hasAttribute(\"xmlns\")) {\n\t\t\tthis.namespace = this.getAttribute(\"xmlns\");\n\t\t\tthis.setVariable(\"namespace\",this.namespace);\n\t\t} else {\n\t\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: XHTML_NAMESPACE});\n\t\t}\n\t}\n\t// Invoke the th-rendering-element hook\n\tvar parseTreeNodes = $tw.hooks.invokeHook(\"th-rendering-element\",null,this);\n\tthis.isReplaced = !!parseTreeNodes;\n\tif(parseTreeNodes) {\n\t\t// Use the parse tree nodes provided by the hook\n\t\tthis.makeChildWidgets(parseTreeNodes);\n\t\tthis.renderChildren(this.parentDomNode,null);\n\t\treturn;\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n\t// Create the DOM node and render children\n\tvar domNode = this.document.createElementNS(this.namespace,this.tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\tif(!this.isReplaced) {\n\t\t\t// Update our attributes\n\t\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\n\t\t} else {\n\t\t\t// If we were replaced then completely refresh ourselves\n\t\t\treturn this.refreshSelf();\n\t\t}\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/encrypt.js":{"title":"$:/core/modules/widgets/encrypt.js","text":"/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/entity.js":{"title":"$:/core/modules/widgets/entity.js","text":"/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar entityString = this.getAttribute(\"entity\",this.parseTreeNode.entity || \"\"),\n\t\ttextNode = this.document.createTextNode($tw.utils.entityDecode(entityString));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.entity) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.entity = EntityWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/error.js":{"title":"$:/core/modules/widgets/error.js","text":"/*\\\ntitle: $:/core/modules/widgets/error.js\ntype: application/javascript\nmodule-type: widget\n\nError widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ErrorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nErrorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nErrorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar message = this.getAttribute(\"$message\",\"Unknown error\"),\n\t\tdomNode = this.document.createElement(\"span\");\n\tdomNode.appendChild(this.document.createTextNode(message));\n\tdomNode.className = \"tc-error\";\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nErrorWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nErrorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$message\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.error = ErrorWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/eventcatcher.js":{"title":"$:/core/modules/widgets/eventcatcher.js","text":"/*\\\ntitle: $:/core/modules/widgets/eventcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nEvent handler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EventWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEventWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEventWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.elementTag && $tw.config.htmlUnsafeElements.indexOf(this.elementTag) === -1) {\n\t\ttag = this.elementTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\t// Assign classes\n\tthis.assignDomNodeClasses();\n\t// Add our event handler\n\t$tw.utils.each(this.types,function(type) {\n\t\tdomNode.addEventListener(type,function(event) {\n\t\t\tvar selector = self.getAttribute(\"selector\"),\n\t\t\t\tmatchSelector = self.getAttribute(\"matchSelector\"),\n\t\t\t\tactions = self.getAttribute(\"$\"+type) || self.getAttribute(\"actions-\"+type),\n\t\t\t\tstopPropagation = self.getAttribute(\"stopPropagation\",\"onaction\"),\n\t\t\t\tselectedNode = event.target,\n\t\t\t\tselectedNodeRect,\n\t\t\t\tcatcherNodeRect,\n\t\t\t\tvariables = {};\n\t\t\t// Firefox can fire dragover and dragenter events on text nodes instead of their parents\n\t\t\tif(selectedNode.nodeType === 3) {\n\t\t\t\tselectedNode = selectedNode.parentNode;\n\t\t\t}\n\t\t\t// Check that the selected node matches any matchSelector\n\t\t\tif(matchSelector && !$tw.utils.domMatchesSelector(selectedNode,matchSelector)) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\tif(selector) {\n\t\t\t\t// Search ancestors for a node that matches the selector\n\t\t\t\twhile(!$tw.utils.domMatchesSelector(selectedNode,selector) && selectedNode !== domNode) {\n\t\t\t\t\tselectedNode = selectedNode.parentNode;\n\t\t\t\t}\n\t\t\t\t// Exit if we didn't find one\n\t\t\t\tif(selectedNode === domNode) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Only set up variables if we have actions to invoke\n\t\t\t\tif(actions) {\n\t\t\t\t\tvariables = $tw.utils.collectDOMVariables(selectedNode,self.domNode,event);\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Execute our actions with the variables\n\t\t\tif(actions) {\n\t\t\t\t// Add a variable for the modifier key\n\t\t\t\tvariables.modifier = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\t\t// Add a variable for the mouse button\n\t\t\t\tif(\"button\" in event) {\n\t\t\t\t\tif(event.button === 0) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"left\";\n\t\t\t\t\t} else if(event.button === 1) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"middle\";\n\t\t\t\t\t} else if(event.button === 2) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"right\";\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tvariables[\"event-type\"] = event.type.toString();\n\t\t\t\tif(typeof event.detail === \"object\" && !!event.detail) {\n\t\t\t\t\t$tw.utils.each(event.detail,function(detailValue,detail) {\n\t\t\t\t\t\tvariables[\"event-detail-\" + detail] = detailValue.toString();\n\t\t\t\t\t});\n\t\t\t\t} else if(!!event.detail) {\n\t\t\t\t\tvariables[\"event-detail\"] = event.detail.toString();\n\t\t\t\t}\n\t\t\t\tself.invokeActionString(actions,self,event,variables);\n\t\t\t}\n\t\t\tif((actions && stopPropagation === \"onaction\") || stopPropagation === \"always\") {\n\t\t\t\tevent.preventDefault();\n\t\t\t\tevent.stopPropagation();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\treturn false;\n\t\t},false);\n\t});\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEventWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes that require a refresh on change\n\tthis.types = [];\n\t$tw.utils.each(this.attributes,function(value,key) {\n\t\tif(key.charAt(0) === \"$\") {\n\t\t\tself.types.push(key.slice(1));\n\t\t}\n\t});\n\tif(!this.types.length) {\n\t\tthis.types = this.getAttribute(\"events\",\"\").split(\" \");\n\t}\n\tthis.elementTag = this.getAttribute(\"tag\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nEventWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-eventcatcher\");\n\tthis.domNode.className = classes.join(\" \");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEventWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tchangedAttributesCount = $tw.utils.count(changedAttributes);\n\tif(changedAttributesCount === 1 && changedAttributes[\"class\"]) {\n\t\tthis.assignDomNodeClasses();\n\t} else if(changedAttributesCount > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.eventcatcher = EventWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/fieldmangler.js":{"title":"$:/core/modules/widgets/fieldmangler.js","text":"/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn false;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.trim();\n\t\t\tif(!value && tiddler) {\n\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t}\n\t\t\taddition[trimmedName] = value || \"\";\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn false;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn false;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler(new $tw.Tiddler({title: this.mangleTitle, tags: tag},modification));\n\t}\n\treturn false;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/fields.js":{"title":"$:/core/modules/widgets/fields.js","text":"/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.sort = this.getAttribute(\"sort\",\"yes\") === \"yes\";\n\tthis.sortReverse = this.getAttribute(\"sortReverse\",\"no\") === \"yes\";\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.include = this.getAttribute(\"include\",null);\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\n\t// Get the inclusion and exclusion list\n\tvar excludeArr = (this.exclude) ? this.exclude.split(\" \") : [\"text\"];\n\t// Include takes precedence\n\tvar includeArr = (this.include) ? this.include.split(\" \") : null;\n\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tif (includeArr) { // Include takes precedence\n\t\t\tfor(var i=0; i<includeArr.length; i++) {\n\t\t\t\tif(tiddler.fields[includeArr[i]]) {\n\t\t\t\t\tfields.push(includeArr[i]);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\tif(excludeArr.indexOf(fieldName) === -1) {\n\t\t\t\t\tfields.push(fieldName);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif (this.sort) fields.sort();\n\t\tif (this.sortReverse) fields.reverse();\n\t\tfor(var f=0, fmax=fields.length; f<fmax; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tvar row = this.template,\n\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\tif(reMatch) {\n\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t}\n\t\t\t}\n\t\t\trow = $tw.utils.replaceString(row,\"$name$\",fieldName);\n\t\t\trow = $tw.utils.replaceString(row,\"$value$\",value);\n\t\t\trow = $tw.utils.replaceString(row,\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\ttext.push(row);\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif( changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude ||\n\t\tchangedAttributes.include || changedAttributes.sort || changedAttributes.sortReverse ||\n\t\tchangedTiddlers[this.tiddlerTitle] || changedAttributes.stripTitlePrefix) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/fill.js":{"title":"$:/core/modules/widgets/fill.js","text":"/*\\\ntitle: $:/core/modules/widgets/fill.js\ntype: application/javascript\nmodule-type: widget\n\nSub-widget used by the transclude widget for specifying values for slots within transcluded content. It doesn't do anything by itself because the transclude widget only ever deals with the parse tree nodes, and doesn't instantiate the widget itself\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FillWidget = function(parseTreeNode,options) {\n\t// Initialise\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFillWidget.prototype = new Widget();\n\nexports.fill = FillWidget;\n\n})();\n\t","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/genesis.js":{"title":"$:/core/modules/widgets/genesis.js","text":"/*\\\ntitle: $:/core/modules/widgets/genesis.js\ntype: application/javascript\nmodule-type: widget\n\nGenesis widget for dynamically creating widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar GenesisWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nGenesisWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nGenesisWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes({filterFn: function(name) {\n\t\t// Only compute our own attributes which start with a single dollar\n\t\treturn name.charAt(0) === \"$\" && name.charAt(1) !== \"$\";\n\t}});\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nGenesisWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Collect attributes\n\tthis.genesisType = this.getAttribute(\"$type\");\n\tthis.genesisRemappable = this.getAttribute(\"$remappable\",\"yes\") === \"yes\";\n\tthis.genesisNames = this.getAttribute(\"$names\",\"\");\n\tthis.genesisValues = this.getAttribute(\"$values\",\"\");\n\tthis.genesisIsBlock = this.getAttribute(\"$mode\",this.parseTreeNode.isBlock && \"block\") === \"block\";\n\t// Do not create a child widget if the $type attribute is missing or blank\n\tif(!this.genesisType) {\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\treturn;\n\t}\n\t// Construct parse tree\n\tvar isElementWidget = this.genesisType.charAt(0) !== \"$\",\n\t\tnodeType = isElementWidget ? \"element\" : this.genesisType.substr(1),\n\t\tnodeTag = isElementWidget ? this.genesisType : undefined;\n\tvar parseTreeNodes = [{\n\t\ttype: nodeType,\n\t\ttag: nodeTag,\n\t\tattributes: {},\n\t\torderedAttributes: [],\n\t\tisBlock: this.genesisIsBlock,\n\t\tchildren: this.parseTreeNode.children || [],\n\t\tisNotRemappable: !this.genesisRemappable\n\t}];\n\t// Apply explicit attributes\n\t$tw.utils.each($tw.utils.getOrderedAttributesFromParseTreeNode(this.parseTreeNode),function(attribute) {\n\t\tvar name = attribute.name;\n\t\tif(name.charAt(0) === \"$\") {\n\t\t\tif(name.charAt(1) === \"$\") {\n\t\t\t\t// Double $$ is changed to a single $\n\t\t\t\tname = name.substr(1);\n\t\t\t} else {\n\t\t\t\t// Single dollar is ignored\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],$tw.utils.extend({},attribute,{name: name}));\n\t});\n\t// Apply attributes in $names/$values\n\tthis.attributeNames = [];\n\tthis.attributeValues = [];\n\tif(this.genesisNames && this.genesisValues) {\n\t\tthis.attributeNames = this.wiki.filterTiddlers(self.genesisNames,this);\n\t\tthis.attributeValues = this.wiki.filterTiddlers(self.genesisValues,this);\n\t\t$tw.utils.each(this.attributeNames,function(varname,index) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],varname,self.attributeValues[index] || \"\");\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nGenesisWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tfilterNames = this.getAttribute(\"$names\",\"\"),\n\t\tfilterValues = this.getAttribute(\"$values\",\"\"),\n\t\tattributeNames = this.wiki.filterTiddlers(filterNames,this),\n\t\tattributeValues = this.wiki.filterTiddlers(filterValues,this);\n\tif($tw.utils.count(changedAttributes) > 0 || !$tw.utils.isArrayEqual(this.attributeNames,attributeNames) || !$tw.utils.isArrayEqual(this.attributeValues,attributeValues)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.genesis = GenesisWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/image.js":{"title":"$:/core/modules/widgets/image.js","text":"/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri,\n\t\t\t\ttypeInfo = $tw.config.contentTypeInfo[type] || {},\n\t\t\t\tdeserializerType = typeInfo.deserializerType || type;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type by looking up the encoding in the content type info\n\t\t\t\tvar encoding = typeInfo.encoding || \"utf8\";\n\t\t\t\tif (encoding === \"base64\") {\n\t\t\t\t\t// .pdf .png .jpg etc.\n\t\t\t\t\tsrc = \"data:\" + deserializerType + \";base64,\" + text;\n\t\t\t\t\tif (deserializerType === \"application/pdf\") {\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// .svg .tid .xml etc.\n\t\t\t\t\tsrc = \"data:\" + deserializerType + \",\" + encodeURIComponent(text);\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(deserializerType) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Just trigger loading of the tiddler\n\t\t\t\tthis.wiki.getTiddlerText(this.imageSource);\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\n\t}\n\tif(this.imageUsemap) {\n\t    \tdomNode.setAttribute(\"usemap\",this.imageUsemap);\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\n\t}\n\tif(this.lazyLoading && tag === \"img\") {\n\t\tdomNode.setAttribute(\"loading\",this.lazyLoading);\n\t}\n\t// Add classes when the image loads or fails\n\t$tw.utils.addClass(domNode,\"tc-image-loading\");\n\tdomNode.addEventListener(\"load\",function() {\n\t\t$tw.utils.removeClass(domNode,\"tc-image-loading\");\n\t\t$tw.utils.addClass(domNode,\"tc-image-loaded\");\n\t},false);\n\tdomNode.addEventListener(\"error\",function() {\n\t\t$tw.utils.removeClass(domNode,\"tc-image-loading\");\n\t\t$tw.utils.addClass(domNode,\"tc-image-error\");\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n    \tthis.imageUsemap = this.getAttribute(\"usemap\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n\tthis.lazyLoading = this.getAttribute(\"loading\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.usemap || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/importvariables.js":{"title":"$:/core/modules/widgets/importvariables.js","text":"/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar widgetPointer = this;\n\t// Got to flush all the accumulated variables\n\tthis.variables = Object.create(null);\n\tif(this.parentWidget) {\n\t\tObject.setPrototypeOf(this.variables,this.parentWidget.variables);\n\t}\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = widgetPointer.wiki.parseTiddler(title,{parseAsInline:true, configTrimWhiteSpace:true});\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && [\"setvariable\",\"set\",\"parameters\"].indexOf(parseTreeNode.type) !== -1) {\n\t\t\t\tvar node = {\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params,\n\t\t\t\t\tisMacroDefinition: parseTreeNode.isMacroDefinition,\n\t\t\t\t\tisFunctionDefinition: parseTreeNode.isFunctionDefinition,\n\t\t\t\t\tisProcedureDefinition: parseTreeNode.isProcedureDefinition,\n\t\t\t\t\tisWidgetDefinition: parseTreeNode.isWidgetDefinition,\n\t\t\t\t\tconfigTrimWhiteSpace: parseTreeNode.configTrimWhiteSpace\n\t\t\t\t};\n\t\t\t\tif(parseTreeNode.type === \"set\" || parseTreeNode.type === \"setvariable\") {\n\t\t\t\t\tif(parseTreeNode.isMacroDefinition || parseTreeNode.isProcedureDefinition || parseTreeNode.isWidgetDefinition || parseTreeNode.isFunctionDefinition) {\n\t\t\t\t\t\t// Macro definitions can be folded into\n\t\t\t\t\t\t// current widget instead of adding\n\t\t\t\t\t\t// another link to the chain.\n\t\t\t\t\t\tvar widget = widgetPointer.makeChildWidget(node);\n\t\t\t\t\t\twidget.computeAttributes();\n\t\t\t\t\t\twidget.execute();\n\t\t\t\t\t\t// We SHALLOW copy over all variables\n\t\t\t\t\t\t// in widget. We can't use\n\t\t\t\t\t\t// $tw.utils.assign, because that copies\n\t\t\t\t\t\t// up the prototype chain, which we\n\t\t\t\t\t\t// don't want.\n\t\t\t\t\t\t$tw.utils.each(Object.keys(widget.variables), function(key) {\n\t\t\t\t\t\t\twidgetPointer.variables[key] = widget.variables[key];\n\t\t\t\t\t\t});\n\t\t\t\t\t} else {\n\t\t\t\t\t\twidgetPointer.children = [widgetPointer.makeChildWidget(node)];\n\t\t\t\t\t\t// No more regenerating children for\n\t\t\t\t\t\t// this widget. If it needs to refresh,\n\t\t\t\t\t\t// it'll do so along with the the whole\n\t\t\t\t\t\t// importvariable tree.\n\t\t\t\t\t\tif (widgetPointer != this) {\n\t\t\t\t\t\t\twidgetPointer.makeChildWidgets = function(){};\n\t\t\t\t\t\t}\n\t\t\t\t\t\twidgetPointer = widgetPointer.children[0];\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\n\tif (widgetPointer != this) {\n\t\twidgetPointer.parseTreeNode.children = this.parseTreeNode.children;\n\t} else {\n\t\twidgetPointer.makeChildWidgets();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/jsontiddler.js":{"title":"$:/core/modules/widgets/jsontiddler.js","text":"/*\\\ntitle: $:/core/modules/widgets/jsontiddler.js\ntype: application/javascript\nmodule-type: widget\n\nRender a tiddler as JSON text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar JSONTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nJSONTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nJSONTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Collect the fields from the optional base tiddler\n\tvar fields = this.getTiddlerFields();\n\t// Add custom fields specified in attributes starting with $\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) === \"$\") {\n\t\t\tfields[name.slice(1)] = attribute;\n\t\t}\n\t});\n\t// JSONify\n\tvar json = JSON.stringify(fields);\n\t// Escape unsafe script characters\n\tif(this.attEscapeUnsafeScriptChars) {\n\t\tjson = json.replace(/</g,\"\\\\u003C\");\n\t}\n\t// Update the DOM\n\tvar textNode = this.document.createTextNode(json);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nJSONTiddlerWidget.prototype.execute = function() {\n\tthis.attTiddler = this.getAttribute(\"tiddler\");\n\tthis.attExclude = this.getAttribute(\"exclude\",\"\");\n\tthis.attEscapeUnsafeScriptChars = this.getAttribute(\"escapeUnsafeScriptChars\",\"no\") === \"yes\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nJSONTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0 || (this.attTiddler && changedTiddlers[this.attTiddler])) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nJSONTiddlerWidget.prototype.getTiddlerFields = function() {\n\tvar fields = {};\n\tif(this.attTiddler) {\n\t\tvar tiddler = this.wiki.getTiddler(this.attTiddler);\n\t\tif(tiddler) {\n\t\t\tfields = tiddler.getFieldStrings({exclude: this.attExclude.split(\" \")});\n\t\t} else {\n\t\t\tfields = {title: this.attTiddler};\n\t\t}\n\t}\n\treturn fields;\n};\n\nexports.jsontiddler = JSONTiddlerWidget;\n\n})();","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/keyboard.js":{"title":"$:/core/modules/widgets/keyboard.js","text":"/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.tag && $tw.config.htmlUnsafeElements.indexOf(this.tag) === -1) {\n\t\ttag = this.tag;\n\t}\n\t// Create element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tthis.domNode = domNode;\n\tthis.assignDomNodeClasses();\n\t// Add a keyboard event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.handleChangeEvent = function(event) {\n\tif ($tw.keyboardManager.handleKeydownEvent(event, {onlyPriority: true})) {\n\t\treturn true;\n\t}\n\n\tvar keyInfo = $tw.keyboardManager.getMatchingKeyDescriptor(event,this.keyInfoArray);\n\tif(keyInfo) {\n\t\tvar handled = this.invokeActions(this,event);\n\t\tif(this.actions) {\n\t\t\tvar variables = {\n\t\t\t\t\t\"event-key\": event.key,\n\t\t\t\t\t\"event-code\": event.code,\n\t\t\t\t\t\"modifier\": $tw.keyboardManager.getEventModifierKeyDescriptor(event)\n\t\t\t\t};\n\t\t\tif(keyInfo.keyDescriptor) {\n\t\t\t\tvariables[\"event-key-descriptor\"] = keyInfo.keyDescriptor;\n\t\t\t}\n\t\t\tthis.invokeActionString(this.actions,this,event,variables);\n\t\t}\n\t\tthis.dispatchMessage(event);\n\t\tif(handled || this.actions || this.message) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn true;\n\t}\n\treturn false;\n}\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\",\"\");\n\tthis.message = this.getAttribute(\"message\",\"\");\n\tthis.param = this.getAttribute(\"param\",\"\");\n\tthis.key = this.getAttribute(\"key\",\"\");\n\tthis.tag = this.getAttribute(\"tag\",\"\");\n\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\tif(this.key.substr(0,2) === \"((\" && this.key.substr(-2,2) === \"))\") {\n\t\tthis.shortcutTiddlers = [];\n\t\tvar name = this.key.substring(2,this.key.length -2);\n\t\t$tw.utils.each($tw.keyboardManager.lookupNames,function(platformDescriptor) {\n\t\t\tself.shortcutTiddlers.push(\"$:/config/\" + platformDescriptor + \"/\" + name);\n\t\t});\n\t}\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nKeyboardWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tthis.domNode.className = classes.join(\" \");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedAttributes[\"class\"]) {\n\t\tthis.assignDomNodeClasses();\n\t}\n\t// Update the keyInfoArray if one of its shortcut-config-tiddlers has changed\n\tif(this.shortcutTiddlers && $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers)) {\n\t\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/let.js":{"title":"$:/core/modules/widgets/let.js","text":"/*\\\ntitle: $:/core/modules/widgets/let.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows defining multiple variables at once, while allowing\nthe later variables to depend upon the earlier ones.\n\n```\n\\define helloworld() Hello world!\n<$let currentTiddler=\"target\" value={{!!value}} currentTiddler=\"different\">\n  {{!!value}} will be different from <<value>>\n</$let>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LetWidget = function(parseTreeNode,options) {\n\t// Initialise\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\nLetWidget.prototype.computeAttributes = function() {\n\t// Before computing attributes, we must make clear that none of the\n\t// existing attributes are staged for lookup, even on a refresh\n\tvar changedAttributes = {},\n\t\tself = this;\n\tthis.currentValueFor = Object.create(null);\n\t$tw.utils.each($tw.utils.getOrderedAttributesFromParseTreeNode(this.parseTreeNode),function(attribute) {\n\t\tvar value = self.computeAttribute(attribute),\n\t\t\tname = attribute.name;\n\t\t// Now that it's prepped, we're allowed to look this variable up\n\t\t// when defining later variables\n\t\tif(value !== undefined) {\n\t\t\tself.currentValueFor[name] = value;\n\t\t}\n\t});\n\t// Run through again, setting variables and looking for differences\n\t$tw.utils.each(this.currentValueFor,function(value,name) {\n\t\tif (self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tself.setVariable(name,value);\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\nLetWidget.prototype.getVariableInfo = function(name,options) {\n\t// Special handling: If this variable exists in this very $let, we can\n\t// use it, but only if it's been staged.\n\tif ($tw.utils.hop(this.currentValueFor,name)) {\n\t\treturn {\n\t\t\ttext: this.currentValueFor[name]\n\t\t};\n\t}\n\treturn Widget.prototype.getVariableInfo.call(this,name,options);\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nLetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"let\"] = LetWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/link.js":{"title":"$:/core/modules/widgets/link.js","text":"/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true,\n\t\tmissingLinksEnabled = !(this.hideMissingLinks && this.isMissing && !this.isShadow);\n\t// Render the link if required\n\tif(useWikiLinks && missingLinksEnabled) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\t// Assign data- attributes\n\t\tthis.assignAttributes(domNode,{\n\t\t\tsourcePrefix: \"data-\",\n\t\t\tdestPrefix: \"data-\"\n\t\t});\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"}),\n\t\tdomNode = this.document.createElementNS(namespace,tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.overrideClasses === undefined) {\n\t\tclasses.push(\"tc-tiddlylink\");\n\t\tif(this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t\t}\n\t\tif(this.isMissing && !this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t\t} else {\n\t\t\tif(!this.isMissing) {\n\t\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t\t}\n\t\t}\n\t\tif(this.linkClasses) {\n\t\t\tclasses.push(this.linkClasses);\n\t\t}\n\t} else if(this.overrideClasses !== \"\") {\n\t\tclasses.push(this.overrideClasses)\n\t}\n\tif(classes.length > 0) {\n\t\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t}\n\t// Set an href\n\tvar wikilinkTransformFilter = this.getVariable(\"tv-filter-export-link\"),\n\t\twikiLinkText;\n\tif(wikilinkTransformFilter) {\n\t\t// Use the filter to construct the href\n\t\twikiLinkText = this.wiki.filterTiddlers(wikilinkTransformFilter,this,function(iterator) {\n\t\t\titerator(self.wiki.getTiddler(self.to),self.to)\n\t\t})[0];\n\t} else {\n\t\t// Expand the tv-wikilink-template variable to construct the href\n\t\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\";\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkTemplate,\"$uri_encoded$\",$tw.utils.encodeURIComponentExtended(this.to));\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkText,\"$uri_doubleencoded$\",$tw.utils.encodeURIComponentExtended($tw.utils.encodeURIComponentExtended(this.to)));\n\t}\n\t// Override with the value of tv-get-export-link if defined\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tvar namespaceHref = (namespace === \"http://www.w3.org/2000/svg\") ? \"http://www.w3.org/1999/xlink\" : undefined;\n\t\tdomNode.setAttributeNS(namespaceHref,\"href\",wikiLinkText);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\t// Make the link draggable if required\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.to;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Assign data- attributes\n\tthis.assignAttributes(domNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateFromClientTop: bounds.top,\n\t\tnavigateFromClientLeft: bounds.left,\n\t\tnavigateFromClientWidth: bounds.width,\n\t\tnavigateFromClientRight: bounds.right,\n\t\tnavigateFromClientBottom: bounds.bottom,\n\t\tnavigateFromClientHeight: bounds.height,\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey,\n\t\tevent: event\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.overrideClasses = this.getAttribute(\"overrideClass\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\tthis.hideMissingLinks = (this.getVariable(\"tv-show-missing-links\") || \"yes\") === \"no\";\n\t// Make the child widgets\n\tvar templateTree;\n\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\ttemplateTree = this.parseTreeNode.children;\n\t} else {\n\t\t// Default template is a link to the title\n\t\ttemplateTree = [{type: \"text\", text: this.to}];\n\t}\n\tthis.makeChildWidgets(templateTree);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n\t","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/linkcatcher.js":{"title":"$:/core/modules/widgets/linkcatcher.js","text":"/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\tthis.catchActions = this.getAttribute(\"actions\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n\t// When executing actions we avoid trapping navigate events, so that we don't trigger ourselves recursively\n\tthis.executingActions = false;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(!this.executingActions) {\n\t\t// Execute the actions\n\t\tif(this.catchTo) {\n\t\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t\t}\n\t\tif(this.catchMessage && this.parentWidget) {\n\t\t\tthis.parentWidget.dispatchEvent({\n\t\t\t\ttype: this.catchMessage,\n\t\t\t\tparam: event.navigateTo,\n\t\t\t\tnavigateTo: event.navigateTo\n\t\t\t});\n\t\t}\n\t\tif(this.catchSet) {\n\t\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t\t}\n\t\tif(this.catchActions) {\n\t\t\tthis.executingActions = true;\n\t\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\tthis.invokeActionString(this.catchActions,this,event,{navigateTo: event.navigateTo, modifier: modifierKey});\n\t\t\tthis.executingActions = false;\n\t\t}\n\t} else {\n\t\t\t// This is a navigate event generated by the actions of this linkcatcher,\n\t\t\t// so we don't trap it again, but just pass it to the parent\n\t\t\tthis.parentWidget.dispatchEvent(event);\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/list.js":{"title":"$:/core/modules/widgets/list.js","text":"/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\nListWidget.prototype.initialise = function(parseTreeNode,options) {\n\t// Bail if parseTreeNode is undefined, meaning that the ListWidget constructor was called without any arguments so that it can be subclassed\n\tif(parseTreeNode === undefined) {\n\t\treturn;\n\t}\n\t// First call parent constructor to set everything else up\n\tWidget.prototype.initialise.call(this,parseTreeNode,options);\n\t// Now look for <$list-template> and <$list-empty> widgets as immediate child widgets\n\t// This is safe to do during initialization because parse trees never change after creation\n\tthis.findExplicitTemplates();\n}\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\tthis.parentDomNode = parent;\n\tvar changedAttributes = this.computeAttributes();\n\tthis.execute(changedAttributes);\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(this.storyViewName && !StoryView) {\n\t\tStoryView = this.storyViews[\"classic\"];\n\t}\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n\tif(this.storyview && this.storyview.renderEnd) {\n\t\tthis.storyview.renderEnd();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function(changedAttributes) {\n\tvar self = this;\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.counterName = this.getAttribute(\"counter\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Create join template only if needed\n\tif(this.join === undefined || (changedAttributes && changedAttributes.join)) {\n\t\tthis.join = this.makeJoinTemplate();\n\t}\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title,index));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.findExplicitTemplates = function() {\n\tvar self = this;\n\tthis.explicitListTemplate = null;\n\tthis.explicitEmptyTemplate = null;\n\tthis.explicitJoinTemplate = null;\n\tthis.hasTemplateInBody = false;\n\tvar searchChildren = function(childNodes) {\n\t\tvar foundInlineTemplate = false;\n\t\t$tw.utils.each(childNodes,function(node) {\n\t\t\tif(node.type === \"list-template\") {\n\t\t\t\tself.explicitListTemplate = node.children;\n\t\t\t} else if(node.type === \"list-empty\") {\n\t\t\t\tself.explicitEmptyTemplate = node.children;\n\t\t\t} else if(node.type === \"list-join\") {\n\t\t\t\tself.explicitJoinTemplate = node.children;\n\t\t\t} else if(node.type === \"element\" && node.tag === \"p\") {\n\t\t\t\tsearchChildren(node.children);\n\t\t\t\tfoundInlineTemplate = true;\n\t\t\t} else {\n\t\t\t\tfoundInlineTemplate = true;\n\t\t\t}\n\t\t});\n\t\treturn foundInlineTemplate;\n\t};\n\tthis.hasTemplateInBody = searchChildren(this.parseTreeNode.children);\n}\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar limit = $tw.utils.getInt(this.getAttribute(\"limit\",\"\"),undefined);\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\tvar results = this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n\tif(limit !== undefined) {\n\t\tif(limit >= 0) {\n\t\t\tresults = results.slice(0,limit);\n\t\t} else {\n\t\t\tresults = results.slice(limit);\n\t\t}\n\t}\n\treturn results;\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar parser,\n\t\temptyMessage = this.getAttribute(\"emptyMessage\");\n\t// If emptyMessage attribute is not present or empty then look for an explicit empty template\n\tif(!emptyMessage) {\n\t\tif(this.explicitEmptyTemplate) {\n\t\t\treturn this.explicitEmptyTemplate;\n\t\t} else {\n\t\t\treturn [];\n\t\t}\n\t}\n\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a join between list items\n*/\nListWidget.prototype.makeJoinTemplate = function() {\n\tvar parser,\n\t\tjoin = this.getAttribute(\"join\",\"\");\n\tif(join) {\n\t\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",join,{parseAsInline:true})\n\t\tif(parser) {\n\t\t\treturn parser.tree;\n\t\t} else {\n\t\t\treturn [];\n\t\t}\n\t} else {\n\t\treturn this.explicitJoinTemplate; // May be null, and that's fine\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title,index) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\tjoin = this.join,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\t// Check for child nodes of the list widget\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\t// Check for a <$list-item> widget\n\t\t\tif(this.explicitListTemplate) {\n\t\t\t\ttemplateTree = this.explicitListTemplate;\n\t\t\t} else if(this.hasTemplateInBody) {\n\t\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t\t}\n\t\t}\n\t\tif(!templateTree || templateTree.length === 0) {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\tvar parseTreeNode = {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree, join: join};\n\tparseTreeNode.isLast = index === this.list.length - 1;\n\tif(this.counterName) {\n\t\tparseTreeNode.counter = (index + 1).toString();\n\t\tparseTreeNode.counterName = this.counterName;\n\t\tparseTreeNode.isFirst = index === 0;\n\t}\n\treturn parseTreeNode;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.variable || changedAttributes.counter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.join || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// If we are providing an counter variable then we must refresh the items, otherwise we can rearrange them\n\t\tvar hasRefreshed = false,t;\n\t\tif(this.counterName) {\n\t\t\tvar mustRefreshOldLast = false;\n\t\t\tvar oldLength = this.children.length;\n\t\t\t// Cycle through the list and remove and re-insert the first item that has changed, and all the remaining items\n\t\t\tfor(t=0; t<this.list.length; t++) {\n\t\t\t\tif(hasRefreshed || !this.children[t] || this.children[t].parseTreeNode.itemTitle !== this.list[t]) {\n\t\t\t\t\tif(this.children[t]) {\n\t\t\t\t\t\tthis.removeListItem(t);\n\t\t\t\t\t}\n\t\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\t\tif(!hasRefreshed && t === oldLength) {\n\t\t\t\t\t\tmustRefreshOldLast = true;\n\t\t\t\t\t}\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t} else {\n\t\t\t\t\t// Refresh the item we're reusing\n\t\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// If items were inserted then we must recreate the item that used to be at the last position as it is no longer last\n\t\t\tif(mustRefreshOldLast && oldLength > 0) {\n\t\t\t\tvar oldLastIdx = oldLength-1;\n\t\t\t\tthis.removeListItem(oldLastIdx);\n\t\t\t\tthis.insertListItem(oldLastIdx,this.list[oldLastIdx]);\n\t\t\t}\n\t\t\t// If there are items to remove and we have not refreshed then recreate the item that will now be at the last position\n\t\t\tif(!hasRefreshed && this.children.length > this.list.length) {\n\t\t\t\tthis.removeListItem(this.list.length-1);\n\t\t\t\tthis.insertListItem(this.list.length-1,this.list[this.list.length-1]);\n\t\t\t}\n\t\t} else {\n\t\t\t// Cycle through the list, inserting and removing list items as needed\n\t\t\tvar mustRecreateLastItem = false;\n\t\t\tif(this.join && this.join.length) {\n\t\t\t\tif(this.children.length !== this.list.length) {\n\t\t\t\t\t\tmustRecreateLastItem = true;\n\t\t\t\t} else if(prevList[prevList.length-1] !== this.list[this.list.length-1]) {\n\t\t\t\t\t\tmustRecreateLastItem = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar isLast = false, wasLast = false;\n\t\t\tfor(t=0; t<this.list.length; t++) {\n\t\t\t\tisLast = t === this.list.length-1;\n\t\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\t\twasLast = index === this.children.length-1;\n\t\t\t\tif(wasLast && (index !== t || this.children.length !== this.list.length)) {\n\t\t\t\t\tmustRecreateLastItem = !!(this.join && this.join.length);\n\t\t\t\t}\n\t\t\t\tif(index === undefined) {\n\t\t\t\t\t// The list item must be inserted\n\t\t\t\t\tif(isLast && mustRecreateLastItem && t>0) {\n\t\t\t\t\t\t// First re-create previosly-last item that will no longer be last\n\t\t\t\t\t\tthis.removeListItem(t-1);\n\t\t\t\t\t\tthis.insertListItem(t-1,this.list[t-1]);\n\t\t\t\t\t}\n\t\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t} else {\n\t\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\t\thasRefreshed = true;\n\t\t\t\t\t}\n\t\t\t\t\t// Refresh the item we're reusing, or recreate if necessary\n\t\t\t\t\tif(mustRecreateLastItem && (isLast || wasLast)) {\n\t\t\t\t\t\tthis.removeListItem(t);\n\t\t\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\t\t\thasRefreshed = true;\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title,index));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\tif(this.parseTreeNode.counterName) {\n\t\tthis.setVariable(this.parseTreeNode.counterName,this.parseTreeNode.counter);\n\t\tthis.setVariable(this.parseTreeNode.counterName + \"-first\",this.parseTreeNode.isFirst ? \"yes\" : \"no\");\n\t\tthis.setVariable(this.parseTreeNode.counterName + \"-last\",this.parseTreeNode.isLast ? \"yes\" : \"no\");\n\t}\n\t// Add join if needed\n\tvar children = this.parseTreeNode.children,\n\t\tjoin = this.parseTreeNode.join;\n\tif(join && join.length && !this.parseTreeNode.isLast) {\n\t\tchildren = children.slice(0);\n\t\t$tw.utils.each(join,function(joinNode) {\n\t\t\tchildren.push(joinNode);\n\t\t})\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(children);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n/*\nMake <$list-template> and <$list-empty> widgets that do nothing\n*/\nvar ListTemplateWidget = function(parseTreeNode,options) {\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\nListTemplateWidget.prototype = new Widget();\nListTemplateWidget.prototype.render = function() {}\nListTemplateWidget.prototype.refresh = function() { return false; }\n\nexports[\"list-template\"] = ListTemplateWidget;\n\nvar ListEmptyWidget = function(parseTreeNode,options) {\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\nListEmptyWidget.prototype = new Widget();\nListEmptyWidget.prototype.render = function() {}\nListEmptyWidget.prototype.refresh = function() { return false; }\n\nexports[\"list-empty\"] = ListEmptyWidget;\n\nvar ListJoinWidget = function(parseTreeNode,options) {\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\nListJoinWidget.prototype = new Widget();\nListJoinWidget.prototype.render = function() {}\nListJoinWidget.prototype.refresh = function() { return false; }\n\nexports[\"list-join\"] = ListJoinWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/log.js":{"title":"$:/core/modules/widgets/log.js","text":"/*\\\ntitle: $:/core/modules/widgets/log.js\ntype: application/javascript\nmodule-type: widget-subclass\n\nWidget to log debug messages\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.baseClass = \"action-log\";\n\nexports.name = \"log\";\n\nexports.constructor = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n}\n\nexports.prototype = {};\n\nexports.prototype.render = function(event) {\n\tObject.getPrototypeOf(Object.getPrototypeOf(this)).render.call(this,event);\n\tObject.getPrototypeOf(Object.getPrototypeOf(this)).log.call(this);\n}\n\n})();","type":"application/javascript","module-type":"widget-subclass"},"$:/core/modules/widgets/macrocall.js":{"title":"$:/core/modules/widgets/macrocall.js","text":"/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\tthis.macroName = this.parseTreeNode.name || this.getAttribute(\"$name\"),\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\n\t\t}\n\t});\n\t// Make a transclude widget\n\tvar positionalName = 0,\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"transclude\",\n\t\t\tisBlock: this.parseTreeNode.isBlock,\n\t\t\tchildren: this.parseTreeNode.children\n\t\t}];\n\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],\"$variable\",this.macroName);\n\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],\"$type\",this.parseType);\n\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],\"$output\",this.renderOutput);\n\t$tw.utils.each(params,function(param) {\n\t\tvar name = param.name;\n\t\tif(name) {\n\t\t\tif(name.charAt(0) === \"$\") {\n\t\t\t\tname = \"$\" + name;\n\t\t\t}\n\t\t\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],name,param.value);\n\t\t} else {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(parseTreeNodes[0],(positionalName++) + \"\",param.value);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/messagecatcher.js":{"title":"$:/core/modules/widgets/messagecatcher.js","text":"/*\\\ntitle: $:/core/modules/widgets/messagecatcher.js\ntype: application/javascript\nmodule-type: widget\n\nMessage catcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MessageCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMessageCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMessageCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Helper to add an event handler\n\tvar addEventHandler = function(type,actions) {\n\t\tif(type && actions) {\n\t\t\tvar isActionStringExecuting = false;\n\t\t\tself.addEventListener(\n\t\t\t\ttype,\n\t\t\t\tfunction(event) {\n\t\t\t\t\t// Don't trap the event if it came from one of our action handlers\n\t\t\t\t\tif(isActionStringExecuting) {\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t\t// Collect all the event properties into variables\n\t\t\t\t\tvar collectProps = function(obj,prefix) {\n\t\t\t\t\t\tprefix = prefix || \"\";\n\t\t\t\t\t\tvar props = {},\n\t\t\t\t\t\t\tnames = [];\n\t\t\t\t\t\t$tw.utils.each(obj,function(value,name) {\n\t\t\t\t\t\t\tif([\"string\",\"boolean\",\"number\"].indexOf(typeof value) !== -1) {\n\t\t\t\t\t\t\t\tnames.push(name);\n\t\t\t\t\t\t\t\tprops[prefix + \"-\" + name] = value.toString();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t});\n\t\t\t\t\t\tprops[\"list-\" + prefix] = $tw.utils.stringifyList(names);\n\t\t\t\t\t\treturn props;\n\t\t\t\t\t};\n\t\t\t\t\tvar variables = $tw.utils.extend(\n\t\t\t\t\t\t{},\n\t\t\t\t\t\tcollectProps(event.paramObject,\"event-paramObject\"),\n\t\t\t\t\t\tcollectProps(event,\"event\"),\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tmodifier: $tw.keyboardManager.getEventModifierKeyDescriptor(event)\n\t\t\t\t\t\t});\n\t\t\t\t\tisActionStringExecuting = true;\n\t\t\t\t\tself.invokeActionString(actions,self,event,variables);\n\t\t\t\t\tisActionStringExecuting = false;\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t}\n\t// Add the main event handler\n\taddEventHandler(this.getAttribute(\"type\"),this.getAttribute(\"actions\"));\n\t// Add any other event handlers\n\t$tw.utils.each(this.attributes,function(value,key) {\n\t\tif(key.charAt(0) === \"$\") {\n\t\t\taddEventHandler(key.slice(1),value);\n\t\t}\n\t});\n\t// Render children\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMessageCatcherWidget.prototype.execute = function() {\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMessageCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.messagecatcher = MessageCatcherWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/navigator.js":{"title":"$:/core/modules/widgets/navigator.js","text":"/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"}\n\t]);\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\tthis.setVariable(\"tv-story-list\",this.storyTitle);\n\tthis.setVariable(\"tv-history-list\",this.historyTitle);\n\tthis.story = new $tw.Story({\n\t\twiki: this.wiki,\n\t\tstoryTitle: this.storyTitle,\n\t\thistoryTitle: this.historyTitle\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tif(this.storyTitle) {\n\t\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t\t{title: this.storyTitle},\n\t\t\tstoryTiddler,\n\t\t\t{list: storyList}\n\t\t));\n\t}\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tif(storyList) {\n\t\tvar p = storyList.indexOf(title);\n\t\twhile(p !== -1) {\n\t\t\tstoryList.splice(p,1);\n\t\t\tp = storyList.indexOf(title);\n\t\t}\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tif(storyList) {\n\t\tvar pos = storyList.indexOf(oldTitle);\n\t\tif(pos !== -1) {\n\t\t\tstoryList[pos] = newTitle;\n\t\t\tdo {\n\t\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\t\tif(pos !== -1) {\n\t\t\t\t\tstoryList.splice(pos,1);\n\t\t\t\t}\n\t\t\t} while(pos !== -1);\n\t\t} else {\n\t\t\tstoryList.splice(0,0,newTitle);\n\t\t}\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tif(this.storyTitle) {\n\t\tthis.story.addToStory(title,fromTitle,{\n\t\t\topenLinkFromInsideRiver: this.getAttribute(\"openLinkFromInsideRiver\",\"top\"),\n\t\t\topenLinkFromOutsideRiver: this.getAttribute(\"openLinkFromOutsideRiver\",\"top\")\n\t\t});\n\t}\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.story.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-navigating\",event);\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-closing-tiddler\",event);\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar editTiddler = $tw.hooks.invokeHook(\"th-editing-tiddler\",event),\n\t    win = event.event && event.event.view ? event.event.view : window;\n\tif(!editTiddler) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn win.confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\toriginalTiddler = originalTitle ? this.wiki.getTiddler(originalTitle) : undefined,\n\t\tconfirmationTitle,\n\t\twin = event.event && event.event.view ? event.event.view : window;\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif(((originalTitle && this.wiki.getTiddler(originalTitle)) || (tiddler && ((tiddler.fields.text || \"\") !== \"\"))) && !win.confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tif(originalTiddler) {\n\t\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",originalTiddler);\n\t\t}\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Invoke the hook function and delete this tiddler\n\tif(tiddler) {\n\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",tiddler);\n\t\tthis.wiki.deleteTiddler(title);\t\n\t}\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\t\ttext: \"\",\n\t\t\t},\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\treturn this.wiki.generateDraftTitle(title);\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t    \twin = event.event && event.event.view ? event.event.view : window;\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = win.confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler,tiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// If enabled, relink references to renamed tiddler\n\t\t\t\tvar shouldRelink = this.getAttribute(\"relinkOnRename\",\"no\").toLowerCase().trim() === \"yes\";\n\t\t\t\tif(isRename && shouldRelink && this.wiki.tiddlerExists(draftOf)) {\n\t\t\t\t\tthis.wiki.relinkTiddler(draftOf,draftTitle);\n\t\t\t\t}\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\t// #2381 always remove new title & old\n\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\tthis.removeTitleFromStory(storyList,draftOf);\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-cancelling-tiddler\", event);\n\tvar win = event.event && event.event.view ? event.event.view : window;\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = win.confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-new-tiddler\", event);\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Make a copy of the additional fields excluding any blank ones\n\tvar filteredAdditionalFields = $tw.utils.extend({},additionalFields);\n\tObject.keys(filteredAdditionalFields).forEach(function(fieldName) {\n\t\tif(filteredAdditionalFields[fieldName] === \"\") {\n\t\t\tdelete filteredAdditionalFields[fieldName];\n\t\t}\n\t});\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags);\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\tadditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\texistingTiddler,\n\t\tfilteredAdditionalFields,\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList && storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tif(slot === -1) {\n\t\t\tslot = this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\" ? storyList.length - 1 : slot;\n\t\t}\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList && storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\t// Get the tiddlers\n\tvar tiddlers = $tw.utils.parseJSONSafe(event.param,[]);\n\t// Get the current $:/Import tiddler\n\tvar paramObject = event.paramObject || {},\n\t\timportTitle = event.importTitle || paramObject.importTitle || IMPORT_TITLE,\n\t\timportTiddler = this.wiki.getTiddler(importTitle),\n\t\timportData = this.wiki.getTiddlerData(importTitle,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: importTitle,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\ttiddlerFields.title = $tw.utils.trim(tiddlerFields.title);\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t// Deselect any disabled, but _not_ suppressed tiddlers\n\tvar systemMessage = $tw.language.getString(\"Import/Upgrader/Tiddler/Unselected\");\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t\tif (message.indexOf(systemMessage) !== -1) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t}\n\t});\n\t// Deselect suppressed tiddlers ... they have been removed and can't be selected anymore\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t\tnewFields[\"suppressed-\" + title] = \"yes\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tvar autoOpenOnImport = event.autoOpenOnImport || paramObject.autoOpenOnImport || this.getVariable(\"tv-auto-open-on-import\");\n\tif(autoOpenOnImport !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList && storyList.indexOf(importTitle) === -1) {\n\t\t\tstoryList.unshift(importTitle);\n\t\t}\n\t\t// And to history\n\t\thistory.push(importTitle);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\n\t}\n\treturn false;\n};\n\n//\nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData,\n\t\timportReport = [];\n\timportReport.push($tw.language.getString(\"Import/Imported/Hint\") + \"\\n\");\n\t// If you need to modify the import tiddler payload then consider th-importing-tiddler instead\n\timportTiddler = $tw.hooks.invokeHook(\"th-before-importing\",importTiddler);\n\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tif($tw.utils.hop(importTiddler.fields,[\"rename-\" + title])) {\n\t\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields,{title : importTiddler.fields[\"rename-\" + title]});\n\t\t\t} else {\n\t\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\t\t\t}\n\t\t\t// th-importing-tiddler doesn't allow user interaction by default\n\t\t\t// If you want to use the default UI then use: $:/core/modules/upgraders/ instead\n\t\t\ttiddler = $tw.hooks.invokeHook(\"th-importing-tiddler\",tiddler);\n\t\t\t// Add the tiddlers to the store\n\t\t\tself.wiki.addTiddler(tiddler);\n\t\t\timportReport.push(\"# [[\" + tiddler.fields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix || \"$:/state/folded/\";\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/parameters.js":{"title":"$:/core/modules/widgets/parameters.js","text":"/*\\\ntitle: $:/core/modules/widgets/parameters.js\ntype: application/javascript\nmodule-type: widget\n\nWidget for definition of transclusion parameters\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tTranscludeWidget = require(\"$:/core/modules/widgets/transclude.js\").transclude;\n\nvar ParametersWidget = function(parseTreeNode,options) {\n\t// Initialise\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nParametersWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nParametersWidget.prototype.render = function(parent,nextSibling) {\n\t// Call the constructor\n\tWidget.call(this);\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nParametersWidget.prototype.execute = function() {\n\tvar self = this;\n\tthis.parametersDepth = Math.max(parseInt(this.getAttribute(\"$depth\",\"1\"),10) || 1,1);\n\t// Find the parent transclusions\n\tvar pointer = this.parentWidget,\n\t\tdepth = this.parametersDepth;\n\twhile(pointer) {\n\t\tif(pointer instanceof TranscludeWidget) {\n\t\t\tdepth--;\n\t\t\tif(depth <= 0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\tpointer = pointer.parentWidget;\n\t}\n\t// Process each parameter\n\tif(pointer instanceof TranscludeWidget) {\n\t\t// Get the value for each defined parameter\n\t\t$tw.utils.each($tw.utils.getOrderedAttributesFromParseTreeNode(self.parseTreeNode),function(attr,index) {\n\t\t\tvar name = attr.name;\n\t\t\t// If the attribute name starts with $$ then reduce to a single dollar\n\t\t\tif(name.substr(0,2) === \"$$\") {\n\t\t\t\tname = name.substr(1);\n\t\t\t}\n\t\t\tvar value = pointer.getTransclusionParameter(name,index,self.getAttribute(attr.name,\"\"));\n\t\t\tself.setVariable(name,value);\n\t\t});\n\t\t// Assign any metaparameters\n\t\t$tw.utils.each(pointer.getTransclusionMetaParameters(),function(getValue,name) {\n\t\t\tvar variableName = self.getAttribute(\"$\" + name);\n\t\t\tif(variableName) {\n\t\t\t\tself.setVariable(variableName,getValue(name));\n\t\t\t}\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nParametersWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.parameters = ParametersWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/password.js":{"title":"$:/core/modules/widgets/password.js","text":"/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/qualify.js":{"title":"$:/core/modules/widgets/qualify.js","text":"/*\\\ntitle: $:/core/modules/widgets/qualify.js\ntype: application/javascript\nmodule-type: widget\n\nQualify text to a variable \n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar QualifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nQualifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nQualifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nQualifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.qualifyName = this.getAttribute(\"name\");\n\tthis.qualifyTitle = this.getAttribute(\"title\");\n\t// Set context variable\n\tif(this.qualifyName) {\n\t\tthis.setVariable(this.qualifyName,this.qualifyTitle + \"-\" + this.getStateQualifier());\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nQualifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.title) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.qualify = QualifyWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/radio.js":{"title":"$:/core/modules/widgets/radio.js","text":"/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nSet a field or index at a given tiddler via radio buttons\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tvar isChecked = this.getValue() === this.radioValue;\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",\n\t\t\"tc-radio \" + this.radioClass + (isChecked ? \" tc-radio-selected\" : \"\")\n\t);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tthis.assignAttributes(this.inputDomNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\tif(isChecked) {\n\t\tthis.inputDomNode.checked = true;\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar value,\n\t\ttiddler = this.wiki.getTiddler(this.radioTitle);\n\tif(tiddler) {\n\t\tif(this.radioIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.radioTitle,this.radioIndex,this.radioDefault);\n\t\t} else {\n\t\t\tvalue = tiddler.getFieldString(this.radioField,this.radioDefault);\n\t\t}\n\t} else {\n\t\tvalue = this.radioDefault;\n\t}\n\treturn value;\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioIndex) {\n\t\tthis.wiki.setText(this.radioTitle,\"\",this.radioIndex,this.radioValue);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n\t// Trigger actions\n\tif(this.radioActions) {\n\t\tthis.invokeActionString(this.radioActions,this,event,{\"actionValue\": this.radioValue});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioIndex = this.getAttribute(\"index\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\tthis.radioDefault = this.getAttribute(\"default\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\tthis.radioActions = this.getAttribute(\"actions\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(($tw.utils.count(changedAttributes) > 0)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.radioTitle]) {\n\t\tthis.inputDomNode.checked = this.getValue() === this.radioValue;\n\t\t$tw.utils.toggleClass(this.labelDomNode,\"tc-radio-selected\",this.inputDomNode.checked);\n\t\treturn this.refreshChildren(changedTiddlers);\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/range.js":{"title":"$:/core/modules/widgets/range.js","text":"/*\\\ntitle: $:/core/modules/widgets/range.js\ntype: application/javascript\nmodule-type: widget\n\nRange widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RangeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRangeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRangeWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"range\");\n\tthis.inputDomNode.setAttribute(\"class\",this.elementClass);\n\tif(this.minValue){\n\t\tthis.inputDomNode.setAttribute(\"min\", this.minValue);\n\t}\n\tif(this.maxValue){\n\t\tthis.inputDomNode.setAttribute(\"max\", this.maxValue);\n\t}\n\tif(this.increment){\n\t\tthis.inputDomNode.setAttribute(\"step\", this.increment);\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.inputDomNode.value = this.getValue();\n\tthis.assignAttributes(this.inputDomNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name:\"mousedown\", handlerObject:this, handlerMethod:\"handleMouseDownEvent\"},\n\t\t{name:\"mouseup\",   handlerObject:this, handlerMethod:\"handleMouseUpEvent\"},\n\t\t{name:\"change\",    handlerObject:this, handlerMethod:\"handleChangeEvent\"},\n\t\t{name:\"input\",     handlerObject:this, handlerMethod:\"handleInputEvent\"},\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.inputDomNode,nextSibling);\n\tthis.domNodes.push(this.inputDomNode);\n};\n\nRangeWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle),\n\t\tfieldName = this.tiddlerField,\n\t\tvalue = this.defaultValue;\n\tif(tiddler) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(tiddler,this.tiddlerIndex,this.defaultValue);\n\t\t} else {\n\t\t\tif($tw.utils.hop(tiddler.fields,fieldName)) {\n\t\t\t\tvalue = tiddler.fields[fieldName] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.defaultValue;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nRangeWidget.prototype.getActionVariables = function(options) {\n\toptions = options || {};\n\tvar hasChanged = (this.startValue !== this.inputDomNode.value) ? \"yes\" : \"no\";\n\t// Trigger actions. Use variables = {key:value, key:value ...}\n\t// the \"value\" is needed.\n\treturn $tw.utils.extend({\"actionValue\": this.inputDomNode.value, \"actionValueHasChanged\": hasChanged}, options);\n}\n\n// actionsStart\nRangeWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.mouseDown = true; // TODO remove once IE is gone.\n\tthis.startValue = this.inputDomNode.value; // TODO remove this line once IE is gone!\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsMouseDown) {\n\t\tvar variables = this.getActionVariables() // TODO this line will go into the function call below.\n\t\tthis.invokeActionString(this.actionsMouseDown,this,event,variables);\n\t}\n}\n\n// actionsStop\nRangeWidget.prototype.handleMouseUpEvent = function(event) {\n\tthis.mouseDown = false; // TODO remove once IE is gone.\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsMouseUp) {\n\t\tvar variables = this.getActionVariables()\n\t\tthis.invokeActionString(this.actionsMouseUp,this,event,variables);\n\t}\n\t// TODO remove the following if() once IE is gone!\n\tif ($tw.browser.isIE) {\n\t\tif (this.startValue !== this.inputDomNode.value) {\n\t\t\tthis.handleChangeEvent(event);\n\t\t\tthis.startValue = this.inputDomNode.value;\n\t\t}\n\t}\n}\n\nRangeWidget.prototype.handleChangeEvent = function(event) {\n\tif (this.mouseDown) {  // TODO refactor this function once IE is gone.\n\t\tthis.handleInputEvent(event);\n\t}\n};\n\nRangeWidget.prototype.handleInputEvent = function(event) {\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsInput) {\n\t\t// \"tiddler\" parameter may be missing. See .execute() below\n\t\tvar variables = this.getActionVariables({\"actionValueHasChanged\": \"yes\"}) // TODO this line will go into the function call below.\n\t\tthis.invokeActionString(this.actionsInput,this,event,variables);\n\t}\n};\n\nRangeWidget.prototype.handleEvent = function(event) {\n\tif(this.getValue() !== this.inputDomNode.value) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,\"\",this.tiddlerIndex,this.inputDomNode.value);\n\t\t} else {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,this.tiddlerField,null,this.inputDomNode.value);\n\t\t}\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRangeWidget.prototype.execute = function() {\n\t// TODO remove the next 1 lines once IE is gone!\n\tthis.mouseUp = true; // Needed for IE10\n\t// Get the parameters from the attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.tiddlerField = this.getAttribute(\"field\",\"text\");\n\tthis.tiddlerIndex = this.getAttribute(\"index\");\n\tthis.minValue = this.getAttribute(\"min\");\n\tthis.maxValue = this.getAttribute(\"max\");\n\tthis.increment = this.getAttribute(\"increment\");\n\tthis.defaultValue = this.getAttribute(\"default\",\"\");\n\tthis.elementClass = this.getAttribute(\"class\",\"\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Actions since 5.1.23\n\t// Next 2 only fire once!\n\tthis.actionsMouseDown = this.getAttribute(\"actionsStart\",\"\");\n\tthis.actionsMouseUp = this.getAttribute(\"actionsStop\",\"\");\n\t// Input fires very often!\n\tthis.actionsInput = this.getAttribute(\"actions\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRangeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.tiddlerTitle]) {\n\t\t\tvar value = this.getValue();\n\t\t\tif(this.inputDomNode.value !== value) {\n\t\t\t\tthis.inputDomNode.value = value;\n\t\t\t}\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.range = RangeWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/raw.js":{"title":"$:/core/modules/widgets/raw.js","text":"/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/reveal.js":{"title":"$:/core/modules/widgets/reveal.js","text":"/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar Popup = require(\"$:/core/modules/utils/dom/popup.js\");\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\tthis.assignDomNodeClasses();\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tvar left,top;\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"belowright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t\tcase \"right\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tleft = this.popup.left + this.popup.width - domNode.offsetWidth;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t\tcase \"aboveleft\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tdefault: // Below\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t}\n\tif(!this.positionAllowNegative) {\n\t\tleft = Math.max(0,left);\n\t\ttop = Math.max(0,top);\n\t}\n\tif (this.popup.absolute) {\n\t\t// Traverse the offsetParent chain and correct the offset to make it relative to the parent node.\n\t\tfor (var offsetParentDomNode = domNode.offsetParent; offsetParentDomNode; offsetParentDomNode = offsetParentDomNode.offsetParent) {\n\t\t\tleft -= offsetParentDomNode.offsetLeft;\n\t\t\ttop -= offsetParentDomNode.offsetTop;\n\t\t}\n\t}\n\tdomNode.style.left = left + \"px\";\n\tdomNode.style.top = top + \"px\";\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis.positionAllowNegative = this.getAttribute(\"positionAllowNegative\") === \"yes\";\n\t// class attribute handled in assignDomNodeClasses()\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\tthis.updatePopupPosition = this.getAttribute(\"updatePopupPosition\",\"no\") === \"yes\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTiddlerTitle = this.state;\n\tthis.stateTitle = this.getAttribute(\"stateTitle\");\n\tthis.stateField = this.getAttribute(\"stateField\");\n\tthis.stateIndex = this.getAttribute(\"stateIndex\");\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state,\n\t    defaultState = this[\"default\"];\n\tif(this.stateTitle) {\n\t\tvar stateTitleTiddler = this.wiki.getTiddler(this.stateTitle);\n\t\tif(this.stateField) {\n\t\t\tstate = stateTitleTiddler ? stateTitleTiddler.getFieldString(this.stateField) || defaultState : defaultState;\n\t\t} else if(this.stateIndex) {\n\t\t\tstate = stateTitleTiddler ? this.wiki.extractTiddlerDataItem(this.stateTitle,this.stateIndex) || defaultState : defaultState;\n\t\t} else if(stateTitleTiddler) {\n\t\t\tstate = this.wiki.getTiddlerText(this.stateTitle) || defaultState;\n\t\t} else {\n\t\t\tstate = defaultState;\n\t\t}\n\t} else {\n\t\tstate = this.stateTiddlerTitle ? this.wiki.getTextReference(this.state,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\t}\n\tif(state === null) {\n\t\tstate = this[\"default\"];\n\t}\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.isOpen = this.text === state;\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.isOpen = this.text !== state;\n\t\t\tbreak;\n\t\tcase \"lt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t\tcase \"gt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"lteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"gteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.compareStateText = function(state) {\n\treturn state.localeCompare(this.text,undefined,{numeric: true,sensitivity: \"case\"});\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tthis.popup = Popup.parseCoordinates(state);\n\t// Check if the state matches the location regexp\n\tif(this.popup) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\nRevealWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-reveal\");\n\tthis.domNode.className = classes.join(\" \");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes.positionAllowNegative || changedAttributes[\"default\"] || changedAttributes.animate || changedAttributes.stateTitle || changedAttributes.stateField || changedAttributes.stateIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar currentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t} else if(this.type === \"popup\" && this.isOpen && this.updatePopupPosition && (changedTiddlers[this.state] || changedTiddlers[this.stateTitle])) {\n\t\t\tthis.positionPopup(this.domNode);\n\t\t}\n\t\tif(changedAttributes.style) {\n\t\t\tthis.domNode.style = this.getAttribute(\"style\",\"\");\n\t\t}\n\t\tif(changedAttributes[\"class\"]) {\n\t\t\tthis.assignDomNodeClasses();\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\tvar self = this;\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n        $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\t//make sure that the state hasn't changed during the close animation\n\t\t\tself.readState()\n\t\t\tif(!self.isOpen) {\n\t\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t\t\t}\n\t\t}});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/scrollable.js":{"title":"$:/core/modules/widgets/scrollable.js","text":"/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEBOUNCE_INTERVAL = 100; // Delay after last scroll event before updating the bound tiddler\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tvar options = {};\n\tif($tw.utils.hop(event.paramObject,\"animationDuration\")) {\n\t\toptions.animationDuration = event.paramObject.animationDuration;\n\t}\n\tif(event.paramObject && event.paramObject.selector) {\n\t\tthis.scrollSelectorIntoView(null,event.paramObject.selector,null,options);\n\t} else {\n\t\tthis.scrollIntoView(event.target,null,options);\n\t}\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element,callback,options) {\n\tvar duration = $tw.utils.hop(options,\"animationDuration\") ? parseInt(options.animationDuration) : $tw.utils.getAnimationDuration(),\n\t\tsrcWindow = element ? element.ownerDocument.defaultView : window;\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\nScrollableWidget.prototype.scrollSelectorIntoView = function(baseElement,selector,callback,options) {\n\tbaseElement = baseElement || document;\n\tvar element = $tw.utils.querySelectorSafe(selector,baseElement);\n\tif(element) {\n\t\tthis.scrollIntoView(element,callback,options);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n\t// If the scroll position is bound to a tiddler\n\tif(this.scrollableBind) {\n\t\t// After a delay for rendering, scroll to the bound position\n\t\tthis.updateScrollPositionFromBoundTiddler();\n\t\t// Set up event listener\n\t\tthis.currentListener = this.listenerFunction.bind(this);\n\t\tthis.outerDomNode.addEventListener(\"scroll\", this.currentListener);\n\t}\n};\n\nScrollableWidget.prototype.listenerFunction = function(event) {\n\tself = this;\n\tclearTimeout(this.timeout);\n\tthis.timeout = setTimeout(function() {\n\t\tvar existingTiddler = self.wiki.getTiddler(self.scrollableBind),\n\t\t\tnewTiddlerFields = {\n\t\t\t\ttitle: self.scrollableBind,\n\t\t\t\t\"scroll-left\": self.outerDomNode.scrollLeft.toString(),\n\t\t\t\t\"scroll-top\": self.outerDomNode.scrollTop.toString()\n\t\t\t};\n\t\tif(!existingTiddler || (existingTiddler.fields[\"title\"] !== newTiddlerFields[\"title\"]) || (existingTiddler.fields[\"scroll-left\"] !== newTiddlerFields[\"scroll-left\"] || existingTiddler.fields[\"scroll-top\"] !== newTiddlerFields[\"scroll-top\"])) {\n\t\t\tself.wiki.addTiddler(new $tw.Tiddler(existingTiddler,newTiddlerFields));\n\t\t}\n\t}, DEBOUNCE_INTERVAL);\n}\n\nScrollableWidget.prototype.updateScrollPositionFromBoundTiddler = function() {\n\t// Bail if we're running on the fakedom\n\tif(!this.outerDomNode.scrollTo) {\n\t\treturn;\n\t}\n\tvar tiddler = this.wiki.getTiddler(this.scrollableBind);\n\tif(tiddler) {\n\t\tvar scrollLeftTo = this.outerDomNode.scrollLeft;\n\t\tif(parseFloat(tiddler.fields[\"scroll-left\"]).toString() === tiddler.fields[\"scroll-left\"]) {\n\t\t\tscrollLeftTo = parseFloat(tiddler.fields[\"scroll-left\"]);\n\t\t}\n\t\tvar scrollTopTo = this.outerDomNode.scrollTop;\n\t\tif(parseFloat(tiddler.fields[\"scroll-top\"]).toString() === tiddler.fields[\"scroll-top\"]) {\n\t\t\tscrollTopTo = parseFloat(tiddler.fields[\"scroll-top\"]);\n\t\t}\n\t\tthis.outerDomNode.scrollTo({\n\t\t\ttop: scrollTopTo,\n\t\t\tleft: scrollLeftTo,\n\t\t\tbehavior: \"instant\"\n\t\t})\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.scrollableBind = this.getAttribute(\"bind\");\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\t// If the bound tiddler has changed, update the eventListener and update scroll position\n\tif(changedAttributes[\"bind\"]) {\n\t\tif(this.currentListener) {\n\t\t\tthis.outerDomNode.removeEventListener(\"scroll\", this.currentListener, false);\n\t\t}\n\t\tthis.scrollableBind = this.getAttribute(\"bind\");\n\t\tthis.currentListener = this.listenerFunction.bind(this);\n\t\tthis.outerDomNode.addEventListener(\"scroll\", this.currentListener);\n\t}\n\t// Refresh children\n\tvar result = this.refreshChildren(changedTiddlers);\n\t// If the bound tiddler has changed, update scroll position\n\tif(changedAttributes[\"bind\"] || changedTiddlers[this.getAttribute(\"bind\")]) {\n\t\tthis.updateScrollPositionFromBoundTiddler();\n\t}\n\treturn result;\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/select.js":{"title":"$:/core/modules/widgets/select.js","text":"/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t//Create element\n\tvar domNode = this.document.createElement(\"select\");\n\tif(this.selectClass) {\n\t\tdomNode.className = this.selectClass;\n\t}\n\t// Assign data- attributes\n\tthis.assignAttributes(domNode,{\n\t\tsourcePrefix: \"data-\",\n\t\tdestPrefix: \"data-\"\n\t});\n\tif(this.selectMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\tdomNode.setAttribute(\"size\",this.selectSize);\n\t}\n\tif(this.selectTabindex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.selectTabindex);\n\t}\n\tif(this.selectTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.selectTooltip);\n\t}\n\tthis.parentDomNode.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\tthis.setSelectValue();\n\tif(this.selectFocus == \"yes\") {\n\t\tthis.getSelectDomNode().focus();\n\t}\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\t// Get the new value and assign it to the tiddler\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n\t// Trigger actions\n\tif(this.selectActions) {\n\t\tthis.invokeActionString(this.selectActions,this,event);\n\t}\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex,value);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tselect.children[i].selected = values.indexOf(select.children[i].value) !== -1\n\t\t}\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectActions = this.getAttribute(\"actions\");\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\tthis.selectTabindex = this.getAttribute(\"tabindex\");\n\tthis.selectTooltip = this.getAttribute(\"tooltip\");\n\tthis.selectFocus = this.getAttribute(\"focus\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.tooltip || changedAttributes.tabindex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tif(changedAttributes.class) {\n\t\t\tthis.selectClass = this.getAttribute(\"class\");\n\t\t\tthis.getSelectDomNode().setAttribute(\"class\",this.selectClass); \n\t\t}\n\t\tthis.assignAttributes(this.getSelectDomNode(),{\n\t\t\tchangedAttributes: changedAttributes,\n\t\t\tsourcePrefix: \"data-\",\n\t\t\tdestPrefix: \"data-\"\n\t\t});\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\t// If the target tiddler value has changed, just update setting and refresh the children\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/setmultiplevariables.js":{"title":"$:/core/modules/widgets/setmultiplevariables.js","text":"/*\\\ntitle: $:/core/modules/widgets/setmultiplevariables.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to set multiple variables at once from a list of names and a list of values\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetMultipleVariablesWidget = function(parseTreeNode,options) {\n    this.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetMultipleVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetMultipleVariablesWidget.prototype.render = function(parent,nextSibling) {\n    this.parentDomNode = parent;\n    this.computeAttributes();\n    this.execute();\n    this.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetMultipleVariablesWidget.prototype.execute = function() {\n    // Setup our variables\n    this.setVariables();\n    // Construct the child widgets\n    this.makeChildWidgets();\n};\n\n\nSetMultipleVariablesWidget.prototype.setVariables = function() {\n    // Set the variables\n    var self = this,\n        filterNames = this.getAttribute(\"$names\",\"\"),\n        filterValues = this.getAttribute(\"$values\",\"\");\n    this.variableNames = [];\n    this.variableValues = [];\n    if(filterNames && filterValues) {\n        this.variableNames = this.wiki.filterTiddlers(filterNames,this);\n        this.variableValues = this.wiki.filterTiddlers(filterValues,this);\n        $tw.utils.each(this.variableNames,function(varname,index) {\n            self.setVariable(varname,self.variableValues[index]);\n        });\n    }\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetMultipleVariablesWidget.prototype.refresh = function(changedTiddlers) {\n    var filterNames = this.getAttribute(\"$names\",\"\"),\n        filterValues = this.getAttribute(\"$values\",\"\"),\n        variableNames = this.wiki.filterTiddlers(filterNames,this),\n        variableValues = this.wiki.filterTiddlers(filterValues,this);\n    if(!$tw.utils.isArrayEqual(this.variableNames,variableNames) || !$tw.utils.isArrayEqual(this.variableValues,variableValues)) {\n        this.refreshSelf();\n        return true;\n    }\n    return this.refreshChildren(changedTiddlers);\n};\n\nexports[\"setmultiplevariables\"] = SetMultipleVariablesWidget;\n\n})();\n        ","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/set.js":{"title":"$:/core/modules/widgets/set.js","text":"/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setSelect = this.getAttribute(\"select\");\n\tthis.setTiddler = this.getAttribute(\"tiddler\");\n\tthis.setSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.setField = this.getAttribute(\"field\");\n\tthis.setIndex = this.getAttribute(\"index\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tif(this.parseTreeNode.isMacroDefinition) {\n\t\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,true);\n\t} else if(this.parseTreeNode.isFunctionDefinition) {\n\t\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,undefined,{isFunctionDefinition: true});\n\t} else if(this.parseTreeNode.isProcedureDefinition) {\n\t\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,undefined,{isProcedureDefinition: true, configTrimWhiteSpace: this.parseTreeNode.configTrimWhiteSpace});\n\t} else if(this.parseTreeNode.isWidgetDefinition) {\n\t\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,undefined,{isWidgetDefinition: true, configTrimWhiteSpace: this.parseTreeNode.configTrimWhiteSpace});\n\t} else {\n\t\tthis.setVariable(this.setName,this.getValue());\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setTiddler) {\n\t\tvar tiddler;\n\t\tif(this.setSubTiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.setTiddler,this.setSubTiddler);\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.setTiddler);\n\t\t}\n\t\tif(!tiddler) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t} else if(this.setField) {\n\t\t\tvalue = tiddler.getFieldString(this.setField) || this.setEmptyValue;\n\t\t} else if(this.setIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.setTiddler,this.setIndex,this.setEmptyValue);\n\t\t} else {\n\t\t\tvalue = tiddler.fields.text || this.setEmptyValue ;\n\t\t}\n\t} else if(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(this.setValue == null) {\n\t\t\tvar select;\n\t\t\tif(this.setSelect) {\n\t\t\t\tselect = parseInt(this.setSelect,10);\n\t\t\t}\n\t\t\tif(select !== undefined) {\n\t\t\t\tvalue = results[select] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = $tw.utils.stringifyList(results);\n\t\t\t}\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value || \"\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.select || changedAttributes.tiddler || (this.setTiddler && changedTiddlers[this.setTiddler]) || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes.emptyValue ||\n\t   (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/slot.js":{"title":"$:/core/modules/widgets/slot.js","text":"/*\\\ntitle: $:/core/modules/widgets/slot.js\ntype: application/javascript\nmodule-type: widget\n\nWidget for definition of slots within transcluded content. The values provided by the translusion are passed to the slot.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tTranscludeWidget = require(\"$:/core/modules/widgets/transclude.js\").transclude;\n\nvar SlotWidget = function(parseTreeNode,options) {\n\t// Initialise\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSlotWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSlotWidget.prototype.render = function(parent,nextSibling) {\n\t// Call the constructor\n\tWidget.call(this);\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSlotWidget.prototype.execute = function() {\n\tvar self = this;\n\tthis.slotName = this.getAttribute(\"$name\");\n\tthis.slotDepth = parseInt(this.getAttribute(\"$depth\",\"1\"),10) || 1;\n\t// Find the parent transclusions\n\tvar pointer = this.parentWidget,\n\t\tdepth = this.slotDepth;\n\twhile(pointer) {\n\t\tif(pointer instanceof TranscludeWidget && pointer.hasVisibleSlots()) {\n\t\t\tdepth--;\n\t\t\tif(depth <= 0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\tpointer = pointer.parentWidget;\n\t}\n\tvar parseTreeNodes = [{type: \"text\", attributes: {text: {type: \"string\", value: \"Missing slot reference!\"}}}];\n\tif(pointer instanceof TranscludeWidget) {\n\t\t// Get the parse tree nodes comprising the slot contents\n\t\tparseTreeNodes = pointer.getTransclusionSlotFill(this.slotName,this.parseTreeNode.children);\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSlotWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$name\"] || changedAttributes[\"$depth\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.slot = SlotWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/text.js":{"title":"$:/core/modules/widgets/text.js","text":"/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/tiddler.js":{"title":"$:/core/modules/widgets/tiddler.js","text":"/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/transclude.js":{"title":"$:/core/modules/widgets/transclude.js","text":"/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our attributes, string parameters, and slot values into properties of the widget object\n\tthis.collectAttributes();\n\tthis.collectStringParameters();\n\tthis.collectSlotFillParameters();\n\t// Determine whether we're being used in inline or block mode\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\t// Set 'thisTiddler'\n\tthis.setVariable(\"thisTiddler\",this.transcludeTitle);\n\tvar parseTreeNodes, target;\n\t// Process the transclusion according to the output type\n\tswitch(this.transcludeOutput || \"text/html\") {\n\t\tcase \"text/html\":\n\t\t\t// Return the parse tree nodes of the target\n\t\t\ttarget = this.parseTransclusionTarget(parseAsInline);\n\t\t\tthis.parseAsInline = target.parseAsInline;\n\t\t\tparseTreeNodes = target.parseTreeNodes;\n\t\t\tbreak;\n\t\tcase \"text/raw\":\n\t\t\t// Just return the raw text\n\t\t\ttarget = this.getTransclusionTarget();\n\t\t\tparseTreeNodes = [{type: \"text\", text: target.text}];\n\t\t\tbreak;\n\t\tdefault:\n\t\t\t// \"text/plain\" is the plain text result of wikifying the text\n\t\t\ttarget = this.parseTransclusionTarget(parseAsInline);\n\t\t\tvar widgetNode = this.wiki.makeWidget(target.parser,{\n\t\t\t\tparentWidget: this,\n\t\t\t\tdocument: $tw.fakeDocument\n\t\t\t});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tparseTreeNodes = [{type: \"text\", text: container.textContent}];\n\t\t\tbreak;\n\t}\n\tthis.sourceText = target.text;\n\tthis.parserType = target.type;\n\t// Set the legacy transclusion context variables only if we're not transcluding a variable\n\tif(!this.transcludeVariable) {\n\t\tvar recursionMarker = this.makeRecursionMarker();\n\t\tthis.setVariable(\"transclusion\",recursionMarker);\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCollect the attributes we need, in the process determining whether we're being used in legacy mode\n*/\nTranscludeWidget.prototype.collectAttributes = function() {\n\tvar self = this;\n\t// Detect legacy mode\n\tthis.legacyMode = true;\n\t$tw.utils.each(this.attributes,function(value,name) {\n\t\tif(name.charAt(0) === \"$\") {\n\t\t\tself.legacyMode = false;\n\t\t}\n\t});\n\t// Get the attributes for the appropriate mode\n\tif(this.legacyMode) {\n\t\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\t\tthis.transcludeField = this.getAttribute(\"field\");\n\t\tthis.transcludeIndex = this.getAttribute(\"index\");\n\t\tthis.transcludeMode = this.getAttribute(\"mode\");\n\t\tthis.recursionMarker = this.getAttribute(\"recursionMarker\",\"yes\");\n\t} else {\n\t\tthis.transcludeVariable = this.getAttribute(\"$variable\");\n\t\tthis.transcludeVariableIsFunction = false;\n\t\tthis.transcludeType = this.getAttribute(\"$type\");\n\t\tthis.transcludeOutput = this.getAttribute(\"$output\",\"text/html\");\n\t\tthis.transcludeTitle = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.transcludeSubTiddler = this.getAttribute(\"$subtiddler\");\n\t\tthis.transcludeField = this.getAttribute(\"$field\");\n\t\tthis.transcludeIndex = this.getAttribute(\"$index\");\n\t\tthis.transcludeMode = this.getAttribute(\"$mode\");\n\t\tthis.recursionMarker = this.getAttribute(\"$recursionMarker\",\"yes\");\n\t}\n};\n\n/*\nCollect string parameters\n*/\nTranscludeWidget.prototype.collectStringParameters = function() {\n\tvar self = this;\n\tthis.stringParametersByName = Object.create(null);\n\tif(!this.legacyMode) {\n\t\t$tw.utils.each(this.attributes,function(value,name) {\n\t\t\tif(name.charAt(0) === \"$\") {\n\t\t\t\tif(name.charAt(1) === \"$\") {\n\t\t\t\t\t// Attributes starting $$ represent parameters starting with a single $\n\t\t\t\t\tname = name.slice(1);\n\t\t\t\t} else {\n\t\t\t\t\t// Attributes starting with a single $ are reserved for the widget\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t\tself.stringParametersByName[name] = value;\n\t\t});\n\t}\n};\n\n/*\nCollect slot value parameters\n*/\nTranscludeWidget.prototype.collectSlotFillParameters = function() {\n\tvar self = this;\n\tthis.slotFillParseTrees = Object.create(null);\n\tif(this.legacyMode) {\n\t\tthis.slotFillParseTrees[\"ts-missing\"] = this.parseTreeNode.children;\n\t} else {\n\t\tthis.slotFillParseTrees[\"ts-raw\"] = this.parseTreeNode.children;\n\t\tvar noFillWidgetsFound = true,\n\t\t\tsearchParseTreeNodes = function(nodes) {\n\t\t\t\t$tw.utils.each(nodes,function(node) {\n\t\t\t\t\tif(node.type === \"fill\") {\n\t\t\t\t\t\tif(node.attributes[\"$name\"] && node.attributes[\"$name\"].type === \"string\") {\n\t\t\t\t\t\t\tvar slotValueName = node.attributes[\"$name\"].value;\n\t\t\t\t\t\t\tself.slotFillParseTrees[slotValueName] = node.children || [];\n\t\t\t\t\t\t}\n\t\t\t\t\t\tnoFillWidgetsFound = false;\n\t\t\t\t\t} else {\n\t\t\t\t\t\tsearchParseTreeNodes(node.children);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t};\n\t\tsearchParseTreeNodes(this.parseTreeNode.children);\n\t\tif(noFillWidgetsFound) {\n\t\t\tthis.slotFillParseTrees[\"ts-missing\"] = this.parseTreeNode.children;\n\t\t}\n\t}\n};\n\n/*\nGet transcluded details as an object {text:,type:}\n*/\nTranscludeWidget.prototype.getTransclusionTarget = function() {\n\tvar self = this;\n\tvar text;\n\t// Return the text and type of the target\n\tif(this.hasAttribute(\"$variable\")) {\n\t\tif(this.transcludeVariable) {\n\t\t\t// Transcluding a variable\n\t\t\tvar variableInfo = this.getVariableInfo(this.transcludeVariable,{params: this.getOrderedTransclusionParameters()});\n\t\t\tthis.transcludeVariableIsFunction = variableInfo.srcVariable && variableInfo.srcVariable.isFunctionDefinition;\n\t\t\ttext = variableInfo.text;\n\t\t\tthis.transcludeFunctionResult = text;\n\t\t\treturn {\n\t\t\t\ttext: variableInfo.text,\n\t\t\t\ttype: this.transcludeType\n\t\t\t};\n\t\t}\n\t} else {\n\t\t// Transcluding a text reference\n\t\tvar parserInfo = this.wiki.getTextReferenceParserInfo(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler,\n\t\t\t\t\t\t\tdefaultType: this.transcludeType\n\t\t\t\t\t\t});\n\t\treturn {\n\t\t\ttext: parserInfo.text,\n\t\t\ttype: parserInfo.type\n\t\t};\n\t}\n};\n\n/*\nGet transcluded parse tree nodes as an object {text:,type:,parseTreeNodes:,parseAsInline:}\n*/\nTranscludeWidget.prototype.parseTransclusionTarget = function(parseAsInline) {\n\tvar self = this;\n\tvar parser;\n\t// Get the parse tree\n\tif(this.hasAttribute(\"$variable\")) {\n\t\tif(this.transcludeVariable) {\n\t\t\t// Transcluding a variable\n\t\t\tvar variableInfo = this.getVariableInfo(this.transcludeVariable,{params: this.getOrderedTransclusionParameters()}),\n\t\t\t\tsrcVariable = variableInfo && variableInfo.srcVariable;\n\t\t\tif(srcVariable && srcVariable.isFunctionDefinition) {\n\t\t\t\tthis.transcludeVariableIsFunction = true;\n\t\t\t\tthis.transcludeFunctionResult = (variableInfo.resultList ? variableInfo.resultList[0] : variableInfo.text) || \"\";\n\t\t\t}\n\t\t\tif(variableInfo.text) {\n\t\t\t\tif(srcVariable && srcVariable.isFunctionDefinition) {\n\t\t\t\t\tparser = {\n\t\t\t\t\t\ttree: [{\n\t\t\t\t\t\t\ttype: \"text\",\n\t\t\t\t\t\t\ttext: this.transcludeFunctionResult\n\t\t\t\t\t\t}],\n\t\t\t\t\t\tsource: this.transcludeFunctionResult,\n\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\"\n\t\t\t\t\t};\n\t\t\t\t\tif(parseAsInline) {\n\t\t\t\t\t\tparser.tree[0] = {\n\t\t\t\t\t\t\ttype: \"text\",\n\t\t\t\t\t\t\ttext: this.transcludeFunctionResult\n\t\t\t\t\t\t};\n\t\t\t\t\t} else {\n\t\t\t\t\t\tparser.tree[0] = {\n\t\t\t\t\t\t\ttype: \"element\",\n\t\t\t\t\t\t\ttag: \"p\",\n\t\t\t\t\t\t\tchildren: [{\n\t\t\t\t\t\t\t\ttype: \"text\",\n\t\t\t\t\t\t\t\ttext: this.transcludeFunctionResult\n\t\t\t\t\t\t\t}]\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tvar cacheKey = (parseAsInline ? \"inlineParser\" : \"blockParser\") + (this.transcludeType || \"\");\n\t\t\t\t\tif(variableInfo.isCacheable && srcVariable[cacheKey]) {\n\t\t\t\t\t\tparser = srcVariable[cacheKey];\n\t\t\t\t\t} else {\n\t\t\t\t\t\tparser = this.wiki.parseText(this.transcludeType,variableInfo.text || \"\",{parseAsInline: parseAsInline, configTrimWhiteSpace: srcVariable && srcVariable.configTrimWhiteSpace});\n\t\t\t\t\t\tif(variableInfo.isCacheable) {\n\t\t\t\t\t\t\tsrcVariable[cacheKey] = parser;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(parser) {\n\t\t\t\t\t// Add parameters widget for procedures and custom widgets\n\t\t\t\t\tif(srcVariable && (srcVariable.isProcedureDefinition || srcVariable.isWidgetDefinition)) {\n\t\t\t\t\t\tparser = {\n\t\t\t\t\t\t\ttree: [\n\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\ttype: \"parameters\",\n\t\t\t\t\t\t\t\t\tchildren: parser.tree\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\tsource: parser.source,\n\t\t\t\t\t\t\ttype: parser.type\n\t\t\t\t\t\t}\n\t\t\t\t\t\t$tw.utils.each(srcVariable.params,function(param) {\n\t\t\t\t\t\t\tvar name = param.name;\n\t\t\t\t\t\t\t// Parameter names starting with dollar must be escaped to double dollars\n\t\t\t\t\t\t\tif(name.charAt(0) === \"$\") {\n\t\t\t\t\t\t\t\tname = \"$\" + name;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(parser.tree[0],name,param[\"default\"])\n\t\t\t\t\t\t});\n\t\t\t\t\t} else if(srcVariable && !srcVariable.isFunctionDefinition) {\n\t\t\t\t\t\t// For macros and ordinary variables, wrap the parse tree in a vars widget assigning the parameters to variables named \"__paramname__\"\n\t\t\t\t\t\tparser = {\n\t\t\t\t\t\t\ttree: [\n\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\ttype: \"vars\",\n\t\t\t\t\t\t\t\t\tchildren: parser.tree\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t],\n\t\t\t\t\t\t\tsource: parser.source,\n\t\t\t\t\t\t\ttype: parser.type\n\t\t\t\t\t\t}\n\t\t\t\t\t\t$tw.utils.each(variableInfo.params,function(param) {\n\t\t\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(parser.tree[0],\"__\" + param.name + \"__\",param.value)\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\t// Transcluding a text reference\n\t\tparser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler,\n\t\t\t\t\t\t\tdefaultType: this.transcludeType\n\t\t\t\t\t\t});\n\t}\n\t// Return the parse tree\n\treturn {\n\t\tparser: parser,\n\t\tparseTreeNodes: parser ? parser.tree : (this.slotFillParseTrees[\"ts-missing\"] || []),\n\t\tparseAsInline: parseAsInline,\n\t\ttext: parser && parser.source,\n\t\ttype: parser && parser.type\n\t};\n};\n\n/*\nFetch all the string parameters as an ordered array of {name:, value:} where the name is optional\n*/\nTranscludeWidget.prototype.getOrderedTransclusionParameters = function() {\n\tvar result = [];\n\t// Collect the parameters\n\tfor(var name in this.stringParametersByName) {\n\t\tvar value = this.stringParametersByName[name];\n\t\tresult.push({name: name, value: value});\n\t}\n\t// Sort numerical parameter names first\n\tresult.sort(function(a,b) {\n\t\tvar aIsNumeric = !isNaN(a.name),\n\t\t\tbIsNumeric = !isNaN(b.name);\n\t\tif(aIsNumeric && bIsNumeric) {\n\t\t\treturn a.name - b.name;\n\t\t} else if(aIsNumeric) {\n\t\t\treturn -1;\n\t\t} else if(bIsNumeric) {\n\t\t\treturn 1;\n\t\t} else {\n\t\t\treturn a.name === b.name ? 0 : (a.name < b.name ? -1 : 1);\n\t\t}\n\t});\n\t// Remove names from numerical parameters\n\t$tw.utils.each(result,function(param,index) {\n\t\tif(!isNaN(param.name)) {\n\t\t\tdelete param.name;\n\t\t}\n\t});\n\treturn result;\n};\n\n/*\nFetch the value of a parameter\n*/\nTranscludeWidget.prototype.getTransclusionParameter = function(name,index,defaultValue) {\n\tif(name in this.stringParametersByName) {\n\t\treturn this.stringParametersByName[name];\n\t} else {\n\t\tvar name = \"\" + index;\n\t\tif(name in this.stringParametersByName) {\n\t\t\treturn this.stringParametersByName[name];\n\t\t}\n\t}\n\treturn defaultValue;\n};\n\n/*\nGet one of the special parameters to be provided by the parameters widget\n*/\nTranscludeWidget.prototype.getTransclusionMetaParameters = function() {\n\tvar self = this;\n\treturn {\n\t\t\"parseMode\": function() {\n\t\t\treturn self.parseAsInline ? \"inline\" : \"block\";\n\t\t},\n\t\t\"parseTreeNodes\": function() {\n\t\t\treturn JSON.stringify(self.parseTreeNode.children || []);\n\t\t},\n\t\t\"slotFillParseTreeNodes\": function() {\n\t\t\treturn JSON.stringify(self.slotFillParseTrees);\n\t\t},\n\t\t\"params\": function() {\n\t\t\treturn JSON.stringify(self.stringParametersByName);\n\t\t}\n\t};\n};\n\n/*\nFetch the value of a slot\n*/\nTranscludeWidget.prototype.getTransclusionSlotFill = function(name,defaultParseTreeNodes) {\n\tif(name && this.slotFillParseTrees[name] && this.slotFillParseTrees[name].length > 0) {\n\t\treturn this.slotFillParseTrees[name];\n\t} else {\n\t\treturn defaultParseTreeNodes || [];\n\t}\n};\n\n/*\nReturn whether this transclusion should be visible to the slot widget\n*/\nTranscludeWidget.prototype.hasVisibleSlots = function() {\n\treturn this.getAttribute(\"$fillignore\",\"no\") === \"no\";\n}\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\nTranscludeWidget.prototype.parserNeedsRefresh = function() {\n\t// Doesn't need to consider transcluded variables because a parent variable can't change once a widget has been created\n\tvar parserInfo = this.wiki.getTextReferenceParserInfo(this.transcludeTitle,this.transcludeField,this.transcludeIndex,{subTiddler:this.transcludeSubTiddler});\n\treturn (this.sourceText === undefined || parserInfo.sourceText !== this.sourceText || parserInfo.parserType !== this.parserType)\n};\n\nTranscludeWidget.prototype.functionNeedsRefresh = function() {\n\tvar oldResult = this.transcludeFunctionResult;\n\tvar variableInfo = this.getVariableInfo(this.transcludeVariable,{params: this.getOrderedTransclusionParameters()});\n\tvar newResult = (variableInfo.resultList ? variableInfo.resultList[0] : variableInfo.text) || \"\";\n\treturn oldResult !== newResult;\n}\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(($tw.utils.count(changedAttributes) > 0) || (this.transcludeVariableIsFunction && this.functionNeedsRefresh()) || (!this.transcludeVariable && changedTiddlers[this.transcludeTitle] && this.parserNeedsRefresh())) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/vars.js":{"title":"$:/core/modules/widgets/vars.js","text":"/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n  <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Initialise\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/view.js":{"title":"$:/core/modules/widgets/view.js","text":"/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tthis.viewMode = this.getAttribute(\"mode\",\"block\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"plainwikified\":\n\t\t\tthis.text = this.getValueAsPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"htmltextencoded\":\n\t\t\tthis.text = this.getValueAsHtmlTextEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsPlainWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function(mode) {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsHtmlTextEncoded = function() {\n\treturn $tw.utils.htmlTextEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn $tw.utils.encodeURIComponentExtended(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn $tw.utils.encodeURIComponentExtended($tw.utils.encodeURIComponentExtended(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/widget.js":{"title":"$:/core/modules/widgets/widget.js","text":"/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/* Maximum permitted depth of the widget tree for recursion detection */\nvar MAX_WIDGET_TREE_DEPTH = 1000;\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\t// Bail if parseTreeNode is undefined, meaning  that the widget constructor was called without any arguments so that it can be subclassed\n\tif(parseTreeNode === undefined) {\n\t\treturn;\n\t}\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variables = Object.create(this.parentWidget ? this.parentWidget.variables : null);\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\t// Get widget classes\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t\t// Process any subclasses\n\t\t$tw.modules.forEachModuleOfType(\"widget-subclass\",function(title,module) {\n\t\t\tif(module.baseClass) {\n\t\t\t\tvar baseClass = Widget.prototype.widgetClasses[module.baseClass];\n\t\t\t\tif(!baseClass) {\n\t\t\t\t\tthrow \"Module '\" + title + \"' is attemping to extend a non-existent base class '\" + module.baseClass + \"'\";\n\t\t\t\t}\n\t\t\t\tvar subClass = module.constructor;\n\t\t\t\tsubClass.prototype = new baseClass();\n\t\t\t\t$tw.utils.extend(subClass.prototype,module.prototype);\n\t\t\t\tWidget.prototype.widgetClasses[module.name || module.baseClass] = subClass;\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\nisMacroDefinition: true if the variable is set via a \\define macro pragma (and hence should have variable substitution performed)\noptions includes:\n\tisProcedureDefinition: true if the variable is set via a \\procedure pragma (and hence should not have variable substitution performed)\n\tisFunctionDefinition: true if the variable is set via a \\function pragma (and hence should not have variable substitution performed)\n\tisWidgetDefinition: true if the variable is set via a \\widget pragma (and hence should not have variable substitution performed)\n*/\nWidget.prototype.setVariable = function(name,value,params,isMacroDefinition,options) {\n\toptions = options || {};\n\tthis.variables[name] = {\n\t\tvalue: value,\n\t\tparams: params,\n\t\tisMacroDefinition: !!isMacroDefinition,\n\t\tisFunctionDefinition: !!options.isFunctionDefinition,\n\t\tisProcedureDefinition: !!options.isProcedureDefinition,\n\t\tisWidgetDefinition: !!options.isWidgetDefinition,\n\t\tconfigTrimWhiteSpace: !!options.configTrimWhiteSpace\n\t};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\n\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\nsource: optional source iterator for evaluating function invocations\nallowSelfAssigned: if true, includes the current widget in the context chain instead of just the parent\n\nReturns an object with the following fields:\n\nparams: array of {name:,value:} or {value:} of parameters to be applied\ntext: text of variable, with parameters properly substituted\nresultList: result of variable evaluation as an array\nsrcVariable: reference to the object defining the variable\n*/\nWidget.prototype.getVariableInfo = function(name,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tactualParams = options.params || [],\n\t\tvariable;\n\tif(options.allowSelfAssigned) {\n\t\tvariable = this.variables[name];\n\t} else {\n\t\tvariable = this.parentWidget && this.parentWidget.variables[name];\n\t}\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(variable) {\n\t\tvar originalValue = variable.value,\n\t\t\tvalue = originalValue,\n\t\t\tparams = [],\n\t\t\tresultList = [value];\n\t\t// Only substitute parameter and variable references if this variable was defined with the \\define pragma\n\t\tif(variable.isMacroDefinition) {\n\t\t\tparams = self.resolveVariableParameters(variable.params,actualParams);\n\t\t\t// Substitute any parameters specified in the definition\n\t\t\t$tw.utils.each(params,function(param) {\n\t\t\t\tvalue = $tw.utils.replaceString(value,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(param.name) + \"\\\\$\",\"mg\"),param.value);\n\t\t\t});\n\t\t\tvalue = self.substituteVariableReferences(value,options);\n\t\t\tresultList = [value];\n\t\t} else if(variable.isFunctionDefinition) {\n\t\t\t// Function evaluations\n\t\t\tparams = self.resolveVariableParameters(variable.params,actualParams);\n\t\t\tvar variables = Object.create(null);\n\t\t\t// Apply default parameter values\n\t\t\t$tw.utils.each(variable.params,function(param,index) {\n\t\t\t\tif(param[\"default\"]) {\n\t\t\t\t\tvariables[param.name] = param[\"default\"];\n\t\t\t\t}\n\t\t\t});\n\t\t\t// Parameters are an array of {value:} or {name:, value:} pairs\n\t\t\t$tw.utils.each(params,function(param) {\n\t\t\t\tvariables[param.name] = param.value;\n\t\t\t});\n\t\t\tresultList = this.wiki.filterTiddlers(value,this.makeFakeWidgetWithVariables(variables),options.source);\n\t\t\tvalue = resultList[0] || \"\";\n\t\t}\n\t\treturn {\n\t\t\ttext: value,\n\t\t\tparams: params,\n\t\t\tresultList: resultList,\n\t\t\tsrcVariable: variable,\n\t\t\tisCacheable: originalValue === value\n\t\t};\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\tvar text = this.evaluateMacroModule(name,actualParams);\n\tif(text === undefined) {\n\t\ttext = options.defaultValue;\n\t}\n\treturn {\n\t\ttext: text,\n\t\tresultList: [text]\n\t};\n};\n\n/*\nSimplified version of getVariableInfo() that just returns the text\n*/\nWidget.prototype.getVariable = function(name,options) {\n\treturn this.getVariableInfo(name,options).text;\n};\n\n/*\nMaps actual parameters onto formal parameters, returning an array of {name:,value:} objects\nformalParams - Array of {name:,default:} (default value is optional)\nactualParams - Array of string values or {name:,value:} (name is optional)\n*/\nWidget.prototype.resolveVariableParameters = function(formalParams,actualParams) {\n\tformalParams = formalParams || [];\n\tactualParams = actualParams || [];\n\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\tparamInfo, paramValue,\n\t\tresults = [];\n\t// Step through each of the parameters in the macro definition\n\tfor(var p=0; p<formalParams.length; p++) {\n\t\t// Check if we've got a macro call parameter with the same name\n\t\tparamInfo = formalParams[p];\n\t\tparamValue = undefined;\n\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\tif(typeof actualParams[m] !== \"string\" && actualParams[m].name === paramInfo.name) {\n\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t}\n\t\t}\n\t\t// If not, use the next available anonymous macro call parameter\n\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\tnextAnonParameter++;\n\t\t}\n\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\tvar param = actualParams[nextAnonParameter++];\n\t\t\tparamValue = typeof param === \"string\" ? param : param.value;\n\t\t}\n\t\t// If we've still not got a value, use the default, if any\n\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t// Store the parameter name and value\n\t\tresults.push({name: paramInfo.name, value: paramValue});\n\t}\n\treturn results;\n};\n\nWidget.prototype.substituteVariableReferences = function(text,options) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn options.variables && options.variables[p1] || (self.getVariable(p1,{defaultValue: \"\"}));\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nMake a fake widget with specified variables, suitable for variable lookup in filters\n*/\nWidget.prototype.makeFakeWidgetWithVariables = function(variables) {\n\tvar self = this;\n\treturn {\n\t\tgetVariable: function(name,opts) {\n\t\t\tif($tw.utils.hop(variables,name)) {\n\t\t\t\treturn variables[name];\n\t\t\t} else {\n\t\t\t\topts = opts || {};\n\t\t\t\topts.variables = variables;\n\t\t\t\treturn self.getVariable(name,opts);\n\t\t\t};\n\t\t},\n\t\tgetVariableInfo: function(name,opts) {\n\t\t\tif($tw.utils.hop(variables,name)) {\n\t\t\t\treturn {\n\t\t\t\t\ttext: variables[name]\n\t\t\t\t};\n\t\t\t} else {\n\t\t\t\topts = opts || {};\n\t\t\t\topts.variables = variables;\n\t\t\t\treturn self.getVariableInfo(name,opts);\n\t\t\t};\n\t\t},\n\t\tmakeFakeWidgetWithVariables: self.makeFakeWidgetWithVariables,\n\t\tresolveVariableParameters: self.resolveVariableParameters,\n\t\twiki: self.wiki\n\t};\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed.\nOptions include:\nfilterFn: only include attributes where filterFn(name) returns true\n*/\nWidget.prototype.computeAttributes = function(options) {\n\toptions = options || {};\n\tvar changedAttributes = {},\n\t\tself = this;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(options.filterFn) {\n\t\t\tif(!options.filterFn(name)) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\tvar value = self.computeAttribute(attribute);\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\nWidget.prototype.computeAttribute = function(attribute) {\n\tvar self = this,\n\t\tvalue;\n\tif(attribute.type === \"filtered\") {\n\t\tvalue = this.wiki.filterTiddlers(attribute.filter,this)[0] || \"\";\n\t} else if(attribute.type === \"indirect\") {\n\t\tvalue = this.wiki.getTextReference(attribute.textReference,\"\",this.getVariable(\"currentTiddler\")) || \"\";\n\t} else if(attribute.type === \"macro\") {\n\t\tvar variableInfo = this.getVariableInfo(attribute.value.name,{params: attribute.value.params});\n\t\tvalue = variableInfo.text;\n\t} else if(attribute.type === \"substituted\") {\n\t\tvalue = this.wiki.getSubstitutedText(attribute.rawValue,this) || \"\";\n\t} else { // String attribute\n\t\tvalue = attribute.value;\n\t}\n\treturn value;\n};\n\n/*\nCheck for the presence of an evaluated attribute on the widget. Note that attributes set to a missing variable (ie attr=<<missing>>) will be treated as missing\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nCheck for the presence of a raw attribute on the widget parse tree node. Note that attributes set to a missing variable (ie attr=<<missing>>) will NOT be treated as missing\n*/\nWidget.prototype.hasParseTreeNodeAttribute = function(name) {\n\treturn $tw.utils.hop(this.parseTreeNode.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the common attributes of the widget to a domNode\noptions include:\nsourcePrefix: prefix of attributes that are to be directly assigned (defaults to the empty string meaning all attributes)\ndestPrefix: prefix to be applied to attribute names that are to be directly assigned (defaults to the emtpy string which means no prefix is added)\nchangedAttributes: hashmap by attribute name of attributes to process (if missing, process all attributes)\nexcludeEventAttributes: ignores attributes whose name would begin with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tchangedAttributes = options.changedAttributes || this.attributes,\n\t\tsourcePrefix = options.sourcePrefix || \"\",\n\t\tdestPrefix = options.destPrefix || \"\",\n\t\tEVENT_ATTRIBUTE_PREFIX = \"on\";\n\tvar assignAttribute = function(name,value) {\n\t\t// Process any style attributes before considering sourcePrefix and destPrefix\n\t\tif(name.substr(0,6) === \"style.\" && name.length > 6) {\n\t\t\tdomNode.style[$tw.utils.unHyphenateCss(name.substr(6))] = value;\n\t\t\treturn;\n\t\t}\n\t\t// Check if the sourcePrefix is a match\n\t\tif(name.substr(0,sourcePrefix.length) === sourcePrefix) {\n\t\t\tname = destPrefix + name.substr(sourcePrefix.length);\n\t\t} else {\n\t\t\tvalue = undefined;\n\t\t}\n\t\t// Check for excluded attribute names\n\t\tif(options.excludeEventAttributes && name.substr(0,2).toLowerCase() === EVENT_ATTRIBUTE_PREFIX) {\n\t\t\tvalue = undefined;\n\t\t}\n\t\tif(value !== undefined) {\n\t\t\t// Handle the xlink: namespace\n\t\t\tvar namespace = null;\n\t\t\tif(name.substr(0,6) === \"xlink:\" && name.length > 6) {\n\t\t\t\tnamespace = \"http://www.w3.org/1999/xlink\";\n\t\t\t\tname = name.substr(6);\n\t\t\t}\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tdomNode.setAttributeNS(namespace,name,value);\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t};\n\t// If the parse tree node has the orderedAttributes property then use that order\n\tif(this.parseTreeNode.orderedAttributes) {\n\t\t$tw.utils.each(this.parseTreeNode.orderedAttributes,function(attribute,index) {\n\t\t\tif(attribute.name in changedAttributes) {\n\t\t\t\tassignAttribute(attribute.name,self.getAttribute(attribute.name));\n\t\t\t}\n\t\t});\n\t// Otherwise update each changed attribute irrespective of order\n\t} else {\n\t\t$tw.utils.each(changedAttributes,function(value,name) {\n\t\t\tassignAttribute(name,self.getAttribute(name));\n\t\t});\t\n\t}\n};\n\n/*\nGet the number of ancestor widgets for this widget\n*/\nWidget.prototype.getAncestorCount = function() {\n\tif(this.ancestorCount === undefined) {\n\t\tif(this.parentWidget) {\n\t\t\tthis.ancestorCount = this.parentWidget.getAncestorCount() + 1;\n\t\t} else {\n\t\t\tthis.ancestorCount = 0;\n\t\t}\n\t}\n\treturn this.ancestorCount;\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes,options) {\n\toptions = options || {};\n\tthis.children = [];\n\tvar self = this;\n\t// Check for too much recursion\n\tif(this.getAncestorCount() > MAX_WIDGET_TREE_DEPTH) {\n\t\tthis.children.push(this.makeChildWidget({type: \"error\", attributes: {\n\t\t\t\"$message\": {type: \"string\", value: $tw.language.getString(\"Error/RecursiveTransclusion\")}\n\t\t}}));\n\t} else {\n\t\t// Create set variable widgets for each variable\n\t\t$tw.utils.each(options.variables,function(value,name) {\n\t\t\tvar setVariableWidget = {\n\t\t\t\ttype: \"set\",\n\t\t\t\tattributes: {\n\t\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t\t},\n\t\t\t\tchildren: parseTreeNodes\n\t\t\t};\n\t\t\tparseTreeNodes = [setVariableWidget];\n\t\t});\n\t\t// Create the child widgets\n\t\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\t\tself.children.push(self.makeChildWidget(childNode));\n\t\t});\n\t}\n};\n\n/*\nConstruct the widget object for a parse tree node\noptions include:\n\tvariables: optional hashmap of variables to wrap around the widget\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode,options) {\n\tvar self = this;\n\toptions = options || {};\n\t// Check whether this node type is defined by a custom widget definition\n\tvar variableDefinitionName = \"$\" + parseTreeNode.type;\n\tif(this.variables[variableDefinitionName]) {\n\t\tvar isOverrideable = function() {\n\t\t\t\t// Widget is overrideable if its name contains a period, or if it is an existing JS widget and we're not in safe mode\n\t\t\t\treturn parseTreeNode.type.indexOf(\".\") !== -1 || (!!self.widgetClasses[parseTreeNode.type] && !$tw.safeMode);\n\t\t\t};\n\t\tif(!parseTreeNode.isNotRemappable && isOverrideable()) { \n\t\t\tvar variableInfo = this.getVariableInfo(variableDefinitionName,{allowSelfAssigned: true});\n\t\t\tif(variableInfo && variableInfo.srcVariable && variableInfo.srcVariable.value && variableInfo.srcVariable.isWidgetDefinition) {\n\t\t\t\tvar newParseTreeNode = {\n\t\t\t\t\ttype: \"transclude\",\n\t\t\t\t\tchildren: parseTreeNode.children,\n\t\t\t\t\tisBlock: parseTreeNode.isBlock\n\t\t\t\t};\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(newParseTreeNode,\"$variable\",variableDefinitionName);\n\t\t\t\t$tw.utils.each(parseTreeNode.attributes,function(attr,name) {\n\t\t\t\t\t// If the attribute starts with a dollar then add an extra dollar so that it doesn't clash with the $xxx attributes of transclude\n\t\t\t\t\tname = name.charAt(0) === \"$\" ? \"$\" + name : name;\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(newParseTreeNode,$tw.utils.extend({},attr,{name: name}));\n\t\t\t\t});\n\t\t\t\tparseTreeNode = newParseTreeNode;\n\t\t\t}\n\t\t}\n\t}\n\t// Get the widget class for this node type\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: [\n\t\t\t\tparseTreeNode\n\t\t\t]\n\t\t};\n\t\tparseTreeNode = setVariableWidget;\n\t});\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\tvar children = this.children;\n\tfor(var i = 0; i < children.length; i++) {\n\t\tchildren[i].render(parent,nextSibling);\n\t};\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\tevent.widget = event.widget || this;\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar children = this.children,\n\t\trefreshed = false;\n\tfor (var i = 0; i < children.length; i++) {\n\t\trefreshed = children[i].refresh(changedTiddlers) || refreshed;\n\t}\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t],\n\t\t\tchildIsActionWidget = !!child.invokeAction,\n\t\t\tactionRefreshPolicy = child.getVariable(\"tv-action-refresh-policy\"); // Default is \"once\"\n\t\t// Refresh the child if required\n\t\tif(childIsActionWidget || actionRefreshPolicy === \"always\") {\n\t\t\tchild.refreshSelf();\n\t\t}\n\t\t// Invoke the child if it is an action widget\n\t\tif(childIsActionWidget) {\n\t\t\tif(child.invokeAction(triggeringWidget,event)) {\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n/*\nInvoke the action widgets defined in a string\n*/\nWidget.prototype.invokeActionString = function(actions,triggeringWidget,event,variables) {\n\tactions = actions || \"\";\n\tvar parser = this.wiki.parseText(\"text/vnd.tiddlywiki\",actions,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document\n\t\t}),\n\t\twidgetNode = this.wiki.makeWidget(parser,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document,\n\t\t\tvariables: variables\n\t\t});\n\tvar container = this.document.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn widgetNode.invokeActions(this,event);\n};\n\n/*\nExecute action tiddlers by tag\n*/\nWidget.prototype.invokeActionsByTag = function(tag,event,variables) {\n\tvar self = this;\n\t$tw.utils.each(self.wiki.filterTiddlers(\"[all[shadows+tiddlers]tag[\" + tag + \"]!has[draft.of]]\"),function(title) {\n\t\tself.invokeActionString(self.wiki.getTiddlerText(title),self,event,variables);\n\t});\n};\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\n/*\nEvaluate a variable with parameters. This is a static convenience method that attempts to evaluate a variable as a function, returning an array of strings\n*/\nWidget.evaluateVariable  = function(widget,name,options) {\n\tvar result;\n\tif(widget.getVariableInfo) {\n\t\tvar variableInfo = widget.getVariableInfo(name,options);\n\t\tresult = variableInfo.resultList || [variableInfo.text];\n\t} else {\n\t\tresult = [widget.getVariable(name)];\n\t}\n\treturn result;\n};\n\nexports.widget = Widget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/widgets/wikify.js":{"title":"$:/core/modules/widgets/wikify.js","text":"/*\\\ntitle: $:/core/modules/widgets/wikify.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to wikify text into a variable\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar WikifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nWikifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nWikifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWikifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.wikifyName = this.getAttribute(\"name\");\n\tthis.wikifyText = this.getAttribute(\"text\");\n\tthis.wikifyType = this.getAttribute(\"type\");\n\tthis.wikifyMode = this.getAttribute(\"mode\",\"block\");\n\tthis.wikifyOutput = this.getAttribute(\"output\",\"text\");\n\t// Create the parse tree\n\tthis.wikifyParser = this.wiki.parseText(this.wikifyType,this.wikifyText,{\n\t\t\tparseAsInline: this.wikifyMode === \"inline\"\n\t\t});\n\t// Create the widget tree \n\tthis.wikifyWidgetNode = this.wiki.makeWidget(this.wikifyParser,{\n\t\t\tdocument: $tw.fakeDocument,\n\t\t\tparentWidget: this\n\t\t});\n\t// Render the widget tree to the container\n\tthis.wikifyContainer = $tw.fakeDocument.createElement(\"div\");\n\tthis.wikifyWidgetNode.render(this.wikifyContainer,null);\n\tthis.wikifyResult = this.getResult();\n\t// Set context variable\n\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nReturn the result string\n*/\nWikifyWidget.prototype.getResult = function() {\n\tvar result;\n\tswitch(this.wikifyOutput) {\n\t\tcase \"text\":\n\t\t\tresult = this.wikifyContainer.textContent;\n\t\t\tbreak;\n\t\tcase \"formattedtext\":\n\t\t\tresult = this.wikifyContainer.formattedTextContent;\n\t\t\tbreak;\n\t\tcase \"html\":\n\t\t\tresult = this.wikifyContainer.innerHTML;\n\t\t\tbreak;\n\t\tcase \"parsetree\":\n\t\t\tresult = JSON.stringify(this.wikifyParser.tree,0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t\tcase \"widgettree\":\n\t\t\tresult = JSON.stringify(this.getWidgetTree(),0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t}\n\treturn result;\n};\n\n/*\nReturn a string of the widget tree\n*/\nWikifyWidget.prototype.getWidgetTree = function() {\n\tvar copyNode = function(widgetNode,resultNode) {\n\t\t\tvar type = widgetNode.parseTreeNode.type;\n\t\t\tresultNode.type = type;\n\t\t\tswitch(type) {\n\t\t\t\tcase \"element\":\n\t\t\t\t\tresultNode.tag = widgetNode.parseTreeNode.tag;\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"text\":\n\t\t\t\t\tresultNode.text = widgetNode.parseTreeNode.text;\n\t\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.attributes || {}).length > 0) {\n\t\t\t\tresultNode.attributes = {};\n\t\t\t\t$tw.utils.each(widgetNode.attributes,function(attr,attrName) {\n\t\t\t\t\tresultNode.attributes[attrName] = widgetNode.getAttribute(attrName);\n\t\t\t\t});\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.children || {}).length > 0) {\n\t\t\t\tresultNode.children = [];\n\t\t\t\t$tw.utils.each(widgetNode.children,function(widgetChildNode) {\n\t\t\t\t\tvar node = {};\n\t\t\t\t\tresultNode.children.push(node);\n\t\t\t\t\tcopyNode(widgetChildNode,node);\n\t\t\t\t});\n\t\t\t}\n\t\t},\n\t\tresults = {};\n\tcopyNode(this.wikifyWidgetNode,results);\n\treturn results;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWikifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh ourselves entirely if any of our attributes have changed\n\tif(changedAttributes.name || changedAttributes.text || changedAttributes.type || changedAttributes.mode || changedAttributes.output) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\t// Refresh the widget tree\n\t\tif(this.wikifyWidgetNode.refresh(changedTiddlers)) {\n\t\t\t// Check if there was any change\n\t\t\tvar result = this.getResult();\n\t\t\tif(result !== this.wikifyResult) {\n\t\t\t\t// If so, save the change\n\t\t\t\tthis.wikifyResult = result;\n\t\t\t\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t\t\t\t// Refresh each of our child widgets\n\t\t\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\t\t\tchildWidget.refreshSelf();\n\t\t\t\t});\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\t// Just refresh the children\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.wikify = WikifyWidget;\n\n})();\n","type":"application/javascript","module-type":"widget"},"$:/core/modules/wiki-bulkops.js":{"title":"$:/core/modules/wiki-bulkops.js","text":"/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nfunction renameTiddler(fromTitle,toTitle,options) {\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar oldTiddler = this.getTiddler(fromTitle),\n\t\t\tnewTiddler = new $tw.Tiddler(oldTiddler,{title: toTitle},this.getModificationFields());\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-renaming-tiddler\",newTiddler,oldTiddler);\n\t\tthis.addTiddler(newTiddler);\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.relinkTiddler(fromTitle,toTitle,options)\n\t}\n}\n\n/*\nRelink any tags or lists that reference a given tiddler\n*/\nfunction relinkTiddler(fromTitle,toTitle,options) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar type = tiddler.fields.type || \"\";\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(!tiddler.fields[\"plugin-type\"] && type !== \"application/javascript\") {\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.slice(0) : undefined,\n\t\t\t\t\tlist = tiddler.fields.list ? tiddler.fields.list.slice(0) : undefined,\n\t\t\t\t\tisModified = false,\n\t\t\t\t\tprocessList = function(listField) {\n\t\t\t\t\t\tif(listField && listField.indexOf(fromTitle) !== -1) {\n\t\t\t\t\t\t\t// Remove any existing instances of the toTitle\n\t\t\t\t\t\t\tvar p = listField.indexOf(toTitle);\n\t\t\t\t\t\t\twhile(p !== -1) {\n\t\t\t\t\t\t\t\tlistField.splice(p,1);\n\t\t\t\t\t\t\t\tp = listField.indexOf(toTitle);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t// Replace the fromTitle with toTitle\n\t\t\t\t\t\t\t$tw.utils.each(listField,function (title,index) {\n\t\t\t\t\t\t\t\tif(title === fromTitle) {\n\t\t\t\t\t\t\t\t\tlistField[index] = toTitle;\n\t\t\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\tif(!options.dontRenameInTags) {\n\t\t\t\t\t// Rename tags\n\t\t\t\t\tprocessList(tags);\n\t\t\t\t}\n\t\t\t\tif(!options.dontRenameInLists) {\n\t\t\t\t\t// Rename lists\n\t\t\t\t\tprocessList(list);\n\t\t\t\t}\n\t\t\t\tif(isModified) {\n\t\t\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields())\n\t\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\t\t\tself.addTiddler(newTiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\nexports.renameTiddler = renameTiddler;\nexports.relinkTiddler = relinkTiddler;\n\n})();\n","type":"application/javascript","module-type":"wikimethod"},"$:/core/modules/wiki.js":{"title":"$:/core/modules/wiki.js","text":"/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\",\n\tTIMESTAMP_DISABLE_TITLE = \"$:/config/TimestampDisable\";\n\n/*\nAdd available indexers to this wiki\n*/\nexports.addIndexersToWiki = function() {\n\tvar self = this;\n\t$tw.utils.each($tw.modules.applyMethods(\"indexer\"),function(Indexer,name) {\n\t\tself.addIndexer(new Indexer(self),name);\n\t});\n};\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title || defaultText;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,{},{suppressTimestamp: options.suppressTimestamp});\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type]  || [];\n\tthis.eventListeners[type].push(listener);\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\noptions.prefix must be a string\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle,\n\t\ttemplate = options.template,\n\t\tprefix = (typeof(options.prefix) === \"string\") ? options.prefix : \" \";\n\tif (template) {\n\t\t// \"count\" is important to avoid an endless loop in while(...)!!\n\t\ttemplate = (/\\$count:?(\\d+)?\\$/i.test(template)) ? template : template + \"$count$\";\n\t\ttitle = $tw.utils.formatTitleString(template,{\"base\":baseTitle,\"separator\":prefix,\"counter\":c});\n\t\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\t\ttitle = $tw.utils.formatTitleString(template,{\"base\":baseTitle,\"separator\":prefix,\"counter\":(++c)});\n\t\t}\n\t} else {\n\t\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\t\ttitle = baseTitle + prefix + (++c);\n\t\t}\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isVolatileTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/volatile/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.isBinaryTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.encoding === \"base64\";\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = {\n\t\t\t\tcreated: new Date()\n\t\t\t},\n\t\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\t\tif(creator) {\n\t\t\tfields.creator = creator;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = Object.create(null),\n\t\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\t\tfields.modified = new Date();\n\t\tif(modifier) {\n\t\t\tfields.modifier = modifier;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a sorted array of tiddler titles.  Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric,isAlphaNumeric) {\n\tvar self = this;\n\tif(sortField === \"title\") {\n\t\tif(!isNumeric && !isAlphaNumeric) {\n\t\t\tif(isCaseSensitive) {\n\t\t\t\tif(isDescending) {\n\t\t\t\t\ttitles.sort(function(a,b) {\n\t\t\t\t\t\treturn b.localeCompare(a);\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\ttitles.sort(function(a,b) {\n\t\t\t\t\t\treturn a.localeCompare(b);\n\t\t\t\t\t});\n\t\t\t\t}\t\n\t\t\t} else {\n\t\t\t\tif(isDescending) {\n\t\t\t\t\ttitles.sort(function(a,b) {\n\t\t\t\t\t\treturn b.toLowerCase().localeCompare(a.toLowerCase());\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\ttitles.sort(function(a,b) {\n\t\t\t\t\t\treturn a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t\t\t\t});\n\t\t\t\t}\t\n\t\t\t}\n\t\t} else {\n\t\t\ttitles.sort(function(a,b) {\n\t\t\t\tvar x,y;\n\t\t\t\tif(isNumeric) {\n\t\t\t\t\tx = Number(a);\n\t\t\t\t\ty = Number(b);\n\t\t\t\t\tif(isNaN(x)) {\n\t\t\t\t\t\tif(isNaN(y)) {\n\t\t\t\t\t\t\t// If neither value is a number then fall through to a textual comparison\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\treturn isDescending ? -1 : 1;\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif(isNaN(y)) {\n\t\t\t\t\t\t\treturn isDescending ? 1 : -1;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\treturn isDescending ? y - x :  x - y;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(isAlphaNumeric) {\n\t\t\t\t\treturn isDescending ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t\t\t}\n\t\t\t\tif(!isCaseSensitive) {\n\t\t\t\t\ta = a.toLowerCase();\n\t\t\t\t\tb = b.toLowerCase();\n\t\t\t\t}\n\t\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t\t});\n\t\t}\n\t} else {\n\t\ttitles.sort(function(a,b) {\n\t\t\tvar x,y;\n\t\t\tif(sortField !== \"title\") {\n\t\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\t\tif(tiddlerA) {\n\t\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t\t} else {\n\t\t\t\t\ta = \"\";\n\t\t\t\t}\n\t\t\t\tif(tiddlerB) {\n\t\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t\t} else {\n\t\t\t\t\tb = \"\";\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(isNumeric) {\n\t\t\t\tx = Number(a);\n\t\t\t\ty = Number(b);\n\t\t\t\tif(isNaN(x)) {\n\t\t\t\t\tif(isNaN(y)) {\n\t\t\t\t\t\t// If neither value is a number then fall through to a textual comparison\n\t\t\t\t\t} else {\n\t\t\t\t\t\treturn isDescending ? -1 : 1;\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif(isNaN(y)) {\n\t\t\t\t\t\treturn isDescending ? 1 : -1;\n\t\t\t\t\t} else {\n\t\t\t\t\t\treturn isDescending ? y - x :  x - y;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(Object.prototype.toString.call(a) === \"[object Date]\" && Object.prototype.toString.call(b) === \"[object Date]\") {\n\t\t\t\treturn isDescending ? b - a : a - b;\n\t\t\t}\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(isAlphaNumeric) {\n\t\t\t\treturn isDescending ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t\t}\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t});\n\t}\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked within the given parse tree\n */\nexports.extractLinks = function(parseTreeRoot) {\n\t// Count up the links\n\tvar links = [],\n\t\tcheckParseTree = function(parseTree) {\n\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcheckParseTree(parseTreeRoot);\n\treturn links;\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\tif(parser) {\n\t\t\treturn self.extractLinks(parser.tree);\n\t\t}\n\t\treturn [];\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinksIndexer = this.getIndexer(\"BacklinksIndexer\"),\n\t\tbacklinks = backlinksIndexer && backlinksIndexer.lookup(targetTitle);\n\n\tif(!backlinks) {\n\t\tbacklinks = [];\n\t\tthis.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self.getTiddlerLinks(title);\n\t\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\t\tbacklinks.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\t// Try to use the indexer\n\tvar self = this,\n\t\ttagIndexer = this.getIndexer(\"TagIndexer\"),\n\t\tresults = tagIndexer && tagIndexer.subIndexers[3].lookup(tag);\n\tif(!results) {\n\t\t// If not available, perform a manual scan\n\t\tresults = this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\t\tvar tagmap = self.getTagMap();\n\t\t\treturn self.sortByList(tagmap[tag],tag);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar wiki = this;\n\tvar listings = this.getGlobalCache(\"listings-\" + fieldName,function() {\n\t\tvar listings = Object.create(null);\n\t\twiki.each(function(tiddler,title) {\n\t\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\t\tif(list) {\n\t\t\t\tfor(var i = 0; i < list.length; i++) {\n\t\t\t\t\tvar listItem = list[i],\n\t\t\t\t\t\tlisting = listings[listItem] || [];\n\t\t\t\t\tif (listing.indexOf(title) === -1) {\n\t\t\t\t\t\tlisting.push(title);\n\t\t\t\t\t}\n\t\t\t\t\tlistings[listItem] = listing;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\treturn listings;\n\t});\n\treturn listings[targetTitle] || [];\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar self = this,\n\t\treplacedTitles = Object.create(null);\n\t// Given a title, this function will place it in the correct location\n\t// within titles.\n\tfunction moveItemInList(title) {\n\t\tif(!$tw.utils.hop(replacedTitles, title)) {\n\t\t\treplacedTitles[title] = true;\n\t\t\tvar newPos = -1,\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(afterTitle === \"\") {\n\t\t\t\t\tnewPos = titles.length;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\t// if this title is placed relative\n\t\t\t\t\t// to another title, make sure that\n\t\t\t\t\t// title is placed before we place\n\t\t\t\t\t// this one.\n\t\t\t\t\tmoveItemInList(beforeTitle);\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\t// Same deal\n\t\t\t\t\tmoveItemInList(afterTitle);\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If a new position is specified, let's move it\n\t\t\t\tif (newPos !== -1) {\n\t\t\t\t\t// get its current Pos, and make sure\n\t\t\t\t\t// sure that it's _actually_ in the list\n\t\t\t\t\t// and that it would _actually_ move\n\t\t\t\t\t// (#4275) We don't bother calling\n\t\t\t\t\t//         indexOf unless we have a new\n\t\t\t\t\t//         position to work with\n\t\t\t\t\tvar currPos = titles.indexOf(title);\n\t\t\t\t\tif(currPos >= 0 && newPos !== currPos) {\n\t\t\t\t\t\t// move it!\n\t\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t\t}\n\t\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tmoveItemInList(title);\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\nexports.getTiddlersAsJson = function(filter,spaces) {\n\tvar tiddlers = this.filterTiddlers(filter),\n\t\tspaces = (spaces === undefined) ? $tw.config.preferences.jsonSpaces : spaces,\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,spaces);\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,undefined);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t}) || defaultData;\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\treturn $tw.utils.parseJSONSafe(tiddler.fields.text,defaultData);\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerDataCached(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\noptions: optional hashmap of options including:\n\tsuppressTimestamp: if true, don't set the creation/modification timestamps\n*/\nexports.setTiddlerData = function(title,data,fields,options) {\n\toptions = options || {};\n\tvar existingTiddler = this.getTiddler(title),\n\t\tcreationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields(),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(creationFields,existingTiddler,fields,newFields,modificationFields));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName] !== undefined) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n\t// Use the generic binary parser for any binary types not registered so far\n\tif($tw.Wiki.parsers[\"application/octet-stream\"]) {\n\t\tObject.keys($tw.config.contentTypeInfo).forEach(function(type) {\n\t\t\tif(!$tw.utils.hop($tw.Wiki.parsers,type) && $tw.config.contentTypeInfo[type].encoding === \"base64\") {\n\t\t\t\t$tw.Wiki.parsers[type] = $tw.Wiki.parsers[\"application/octet-stream\"];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\ttext = text || \"\";\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri,\n\t\tconfigTrimWhiteSpace: options.configTrimWhiteSpace\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,\n\t\ttext,\n\t\tparserInfo;\n\tif(!options.subTiddler) {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t} \n\tparserInfo = this.getTextReferenceParserInfo(title,field,index,options);\n\tif(parserInfo.sourceText !== null) {\n\t\treturn this.parseText(parserInfo.parserType,parserInfo.sourceText,options);\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.getTextReferenceParserInfo = function(title,field,index,options) {\n\tvar defaultType = options.defaultType || \"text/vnd.tiddlywiki\",\n\t\ttiddler,\n\t\tparserInfo = {\n\t\t\tsourceText : null,\n\t\t\tparserType : defaultType\n\t\t};\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\tparserInfo.sourceText = tiddler.fields.text || \"\";\n\t\t\tif(tiddler.fields.type) {\n\t\t\t\tparserInfo.parserType = tiddler.fields.type;\n\t\t\t}\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\tparserInfo.sourceText = title;\n\t\t} else if(tiddler && tiddler.fields) {\n\t\t\tparserInfo.sourceText = tiddler.hasField(field) ? tiddler.fields[field].toString() : null;\n\t\t}\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\tparserInfo.sourceText = this.extractTiddlerDataItem(tiddler,index,null);\n\t}\n\tif(parserInfo.sourceText === null) {\n\t\tparserInfo.parserType = null;\n\t}\n\treturn parserInfo;\n}\n\n/*\nParse a block of text of a specified MIME type\n\ttext: text on which to perform substitutions\n\twidget\n\toptions: see below\nOptions include:\n\tsubstitutions: an optional array of substitutions\n*/\nexports.getSubstitutedText = function(text,widget,options) {\n\toptions = options || {};\n\ttext = text || \"\";\n\tvar self = this,\n\t\tsubstitutions = options.substitutions || [],\n\t\toutput;\n\t// Evaluate embedded filters and substitute with first result\n\toutput = text.replace(/\\$\\{([\\S\\s]+?)\\}\\$/g, function(match,filter) {\n\t\treturn self.filterTiddlers(filter,widget)[0] || \"\";\n\t});\n\t// Process any substitutions provided in options\n\t$tw.utils.each(substitutions,function(substitute) {\n\t\toutput = $tw.utils.replaceString(output,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(substitute.name) + \"\\\\$\",\"mg\"),substitute.value);\n\t});\n\t// Substitute any variable references with their values\n\treturn output.replace(/\\$\\(([^\\)\\$]+)\\)\\$/g, function(match,varname) {\n\t\treturn widget.getVariable(varname,{defaultValue: \"\"})\n\t});\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create let variable widget for variables\n\tif($tw.utils.count(options.variables) > 0) {\n\t\tvar letVariableWidget = {\n\t\t\ttype: \"let\",\n\t\t\tattributes: {\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\t$tw.utils.each(options.variables,function(value,name) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(letVariableWidget,name,\"\" + value);\n\t\t});\n\t\tcurrWidgetNode.children = [letVariableWidget];\n\t\tcurrWidgetNode = letVariableWidget;\n\t}\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.recursionMarker : optional flag to set a recursion marker, defaults to \"yes\"\noptions.children: optional array of children for the transclude widget\noptions.importVariables: optional importvariables filter string for macros to be included\noptions.importPageMacros: optional boolean; if true, equivalent to passing \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\" to options.importVariables\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTreeDiv = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: []}]},\n\t\tparseTreeImportVariables = {\n\t\t\ttype: \"importvariables\",\n\t\t\tattributes: {\n\t\t\t\tfilter: {\n\t\t\t\t\tname: \"filter\",\n\t\t\t\t\ttype: \"string\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: false,\n\t\t\tchildren: []},\n\t\tparseTreeTransclude = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\trecursionMarker: {\n\t\t\t\t\tname: \"recursionMarker\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: options.recursionMarker || \"yes\"\n\t\t\t\t\t},\n\t\t\t\ttiddler: {\n\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: !options.parseAsInline};\n\tif(options.importVariables || options.importPageMacros) {\n\t\tif(options.importVariables) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = options.importVariables;\n\t\t} else if(options.importPageMacros) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = this.getTiddlerText(\"$:/core/config/GlobalImportFilter\");\n\t\t}\n\t\tparseTreeDiv.tree[0].children.push(parseTreeImportVariables);\n\t\tparseTreeImportVariables.children.push(parseTreeTransclude);\n\t} else {\n\t\tparseTreeDiv.tree[0].children.push(parseTreeTransclude);\n\t}\n\tif(options.field) {\n\t\tparseTreeTransclude.attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTreeTransclude.attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTreeTransclude.children = options.children;\n\t}\n\treturn this.makeWidget(parseTreeDiv,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator),\n\t\twhere iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tfield: If specified, restricts the search to the specified field, or an array of field names\n\tanchored: If true, forces all but regexp searches to be anchored to the start of text\n\texcludeField: If true, the field options are inverted to specify the fields that are not to be searched\n\n\tThe search mode is determined by the first of these boolean flags to be true\n\t\tliteral: searches for literal string\n\t\twhitespace: same as literal except runs of whitespace are treated as a single space\n\t\tregexp: treats the search term as a regular expression\n\t\twords: (default) treats search string as a list of tokens, and matches if all tokens are found, \n\t\t\tregardless of adjacency or ordering\n\t\tsome: treats search string as a list of tokens, and matches if at least ONE token is found\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tregExpStr=\"\",\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\",\n\t\tanchor = options.anchored ? \"^\" : \"\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else if(options.whitespace) {\n\t\tterms = [];\n\t\t$tw.utils.each(text.split(/\\s+/g),function(term) {\n\t\t\tif(term) {\n\t\t\t\tterms.push($tw.utils.escapeRegExp(term));\n\t\t\t}\n\t\t});\n\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + terms.join(\"\\\\s+\") + \")\",flags)];\n\t} else if(options.regexp) {\n\t\ttry {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + text + \")\",flags)];\n\t\t} catch(e) {\n\t\t\tsearchTermsRegExps = null;\n\t\t\tconsole.log(\"Regexp error parsing /(\" + text + \")/\" + flags + \": \",e);\n\t\t}\n\t} else if(options.some) {\n\t\tterms = text.trim().split(/[^\\S\\xA0]+/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tregExpStr += (t===0) ? anchor + $tw.utils.escapeRegExp(terms[t]) : \"|\" + anchor + $tw.utils.escapeRegExp(terms[t]);\n\t\t\t}\n\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + regExpStr + \")\",flags));\n\t\t}\n\t} else { // default: words\n\t\tterms = text.split(/[^\\S\\xA0]+/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n// Accumulate the array of fields to be searched or excluded from the search\n\tvar fields = [];\n\tif(options.field) {\n\t\tif($tw.utils.isArray(options.field)) {\n\t\t\t$tw.utils.each(options.field,function(fieldName) {\n\t\t\t\tif(fieldName) {\n\t\t\t\t\tfields.push(fieldName);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tfields.push(options.field);\n\t\t}\n\t}\n\t// Use default fields if none specified and we're not excluding fields (excluding fields with an empty field array is the same as searching all fields)\n\tif(fields.length === 0 && !options.excludeField) {\n\t\tfields.push(\"title\");\n\t\tfields.push(\"tags\");\n\t\tfields.push(\"text\");\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar notYetFound = searchTermsRegExps.slice();\n\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tsearchFields;\n\t\t// Get the list of fields we're searching\n\t\tif(options.excludeField) {\n\t\t\tsearchFields = Object.keys(tiddler.fields);\n\t\t\t$tw.utils.each(fields,function(fieldName) {\n\t\t\t\tvar p = searchFields.indexOf(fieldName);\n\t\t\t\tif(p !== -1) {\n\t\t\t\t\tsearchFields.splice(p,1);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsearchFields = fields;\n\t\t}\n\t\tfor(var fieldIndex=0; notYetFound.length>0 && fieldIndex<searchFields.length; fieldIndex++) {\n\t\t\t// Don't search the text field if the content type is binary\n\t\t\tvar fieldName = searchFields[fieldIndex];\n\t\t\tif(fieldName === \"text\" && contentTypeInfo.encoding !== \"utf8\") {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tvar str = tiddler.fields[fieldName],\n\t\t\t\tt;\n\t\t\tif(str) {\n\t\t\t\tif($tw.utils.isArray(str)) {\n\t\t\t\t\t// If the field value is an array, test each regexp against each field array entry and fail if each regexp doesn't match at least one field array entry\n\t\t\t\t\tfor(var s=0; s<str.length; s++) {\n\t\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\t\tif(notYetFound[t].test(str[s])) {\n\t\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the field isn't an array, force it to a string and test each regexp against it and fail if any do not match\n\t\t\t\t\tstr = tiddler.getFieldString(fieldName);\n\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\tif(notYetFound[t].test(str)) {\n\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t\treturn notYetFound.length == 0;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(!tiddler.hasField(\"_is_skinny\")) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text || \"\";\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nCheck whether the text of a tiddler matches a given value. By default, the comparison is case insensitive, and any spaces at either end of the tiddler text is trimmed\n*/\nexports.checkTiddlerText = function(title,targetText,options) {\n\toptions = options || {};\n\tvar text = this.getTiddlerText(title,\"\");\n\tif(!options.noTrim) {\n\t\ttext = text.trim();\n\t}\n\tif(!options.caseSensitive) {\n\t\ttext = text.toLowerCase();\n\t\ttargetText = targetText.toLowerCase();\n\t}\n\treturn text === targetText;\n}\n\n/*\nExecute an action string without an associated context widget\n*/\nexports.invokeActionString = function(actions,event,variables,options) {\n\tvar widget = this.makeWidget(null,{parentWidget: options.parentWidget});\n\twidget.invokeActionString(actions,null,event,variables);\n};\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\tvar result = [],\n\t\toutstanding = files.length,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t};\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],$tw.utils.extend({},options,{callback: readFileCallback}));\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Give the hook a chance to process the drag\n\tif($tw.hooks.invokeHook(\"th-importing-file\",{\n\t\tfile: file,\n\t\ttype: type,\n\t\tisBinary: isBinary,\n\t\tcallback: callback\n\t}) !== true) {\n\t\tthis.readFileContent(file,type,isBinary,options.deserializer,callback);\n\t}\n};\n\n/*\nLower level utility to read the content of a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFileContent = function(file,type,isBinary,deserializer,callback) {\n\tvar self = this;\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\"};\n\t\tif(isBinary) {\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttext = text.substr(commaPos + 1);\n\t\t\t}\n\t\t}\n\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedJson) {\n\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\tcallback(tiddlers);\n\t\t\t});\n\t\t} else {\n\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields,{deserializer: deserializer}));\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified.\nIf the original tiddler doesn't exist, create  a vanilla tiddler variable,\nto check if additional fields have been added.\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]) || new $tw.Tiddler({text:\"\", tags:[]}),\n\t\ttitleModified = tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"];\n\treturn titleModified || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\n\tconsole.log(\"$tw.wiki.addToHistory() is deprecated since V5.1.23! Use the this.story.addToHistory() from the story-object!\")\n};\n\n/*\nAdd a new tiddler to the story river\ntitle: a title string or an array of title strings\nfromTitle: the title of the tiddler from which the navigation originated\nstoryTitle: title of story tiddler (defaults to $:/StoryList)\noptions: see story.js\n*/\nexports.addToStory = function(title,fromTitle,storyTitle,options) {\n\tvar story = new $tw.Story({wiki: this, storyTitle: storyTitle});\n\tstory.addToStory(title,fromTitle,options);\n\tconsole.log(\"$tw.wiki.addToStory() is deprecated since V5.1.23! Use the this.story.addToStory() from the story-object!\")\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nexports.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle,\n\t\tusername = this.getTiddlerText(\"$:/status/UserName\"),\n\t\tattribution = username ? \" by \" + username : \"\";\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\" + attribution;\n\t\tc++;\n\t} while(this.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n// Determine whether a plugin by title is dynamically loadable\nexports.doesPluginRequireReload = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler && tiddler.fields.type === \"application/json\" && tiddler.fields[\"plugin-type\"]) {\n\t\tif(tiddler.fields[\"plugin-type\"] === \"import\") {\n\t\t\t// The import plugin never requires reloading\n\t\t\treturn false;\n\t\t}\n\t}\n\treturn this.doesPluginInfoRequireReload(this.getPluginInfo(title) || this.getTiddlerDataCached(title));\n};\n\n// Determine whether a plugin info structure is dynamically loadable\nexports.doesPluginInfoRequireReload = function(pluginInfo) {\n\tif(pluginInfo) {\n\t\tvar foundModule = false;\n\t\t$tw.utils.each(pluginInfo.tiddlers,function(tiddler) {\n\t\t\tif(tiddler.type === \"application/javascript\" && $tw.utils.hop(tiddler,\"module-type\")) {\n\t\t\t\tfoundModule = true;\n\t\t\t}\n\t\t});\n\t\treturn foundModule;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.slugify = function(title,options) {\n\tvar tiddler = this.getTiddler(title),\n\t\tslug;\n\tif(tiddler && tiddler.fields.slug) {\n\t\tslug = tiddler.fields.slug;\n\t} else {\n\t\tslug = $tw.utils.transliterate(title.toString().toLowerCase()) // Replace diacritics with basic lowercase ASCII\n\t\t\t.replace(/\\s+/g,\"-\")                                       // Replace spaces with -\n\t\t\t.replace(/[^\\w\\-\\.]+/g,\"\")                                 // Remove all non-word chars except dash and dot\n\t\t\t.replace(/\\-\\-+/g,\"-\")                                     // Replace multiple - with single -\n\t\t\t.replace(/^-+/,\"\")                                         // Trim - from start of text\n\t\t\t.replace(/-+$/,\"\");                                        // Trim - from end of text\n\t}\n\t// If the resulting slug is blank (eg because the title is just punctuation characters)\n\tif(!slug) {\n\t\t// ...then just use the character codes of the title\n\t\tvar result = [];\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tresult.push(char.charCodeAt(0).toString());\n\t\t});\n\t\tslug = result.join(\"-\");\n\t}\n\treturn slug;\n};\n\n})();\n","type":"application/javascript","module-type":"wikimethod"},"$:/palettes/Blanca":{"title":"$:/palettes/Blanca","name":"Blanca","color-scheme":"light","description":"A clean white palette to let you focus","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","text":"alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"},"$:/palettes/Blue":{"title":"$:/palettes/Blue","name":"Blue","color-scheme":"light","description":"A blue theme","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","text":"alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"},"$:/palettes/Muted":{"title":"$:/palettes/Muted","name":"Muted","color-scheme":"light","description":"Bright tiddlers on a muted background","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","text":"alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"},"$:/palettes/ContrastLight":{"title":"$:/palettes/ContrastLight","name":"Contrast (Light)","color-scheme":"light","description":"High contrast and unambiguous (light version)","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","text":"alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"},"$:/palettes/ContrastDark":{"title":"$:/palettes/ContrastDark","name":"Contrast (Dark)","color-scheme":"dark","description":"High contrast and unambiguous (dark version)","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","text":"alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"},"$:/palettes/CupertinoDark":{"title":"$:/palettes/CupertinoDark","tags":"$:/tags/Palette","color-scheme":"dark","name":"Cupertino Dark","description":"A macOS inspired dark palette","type":"application/x-tiddler-dictionary","text":"alert-background: #FF453A\nalert-border: #FF453A\nalert-highlight: #FFD60A\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #282828\nblockquote-bar: <<colour page-background>>\nbutton-foreground: <<colour foreground>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #FF453A\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour tiddler-info-background>>\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: #3F638B\ndropdown-tab-background: #323232\ndropzone-background: #30D158\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #BF5AF2\nexternal-link-foreground: #32D74B\nforeground: #FFFFFF\nhighlight-background: #ffff78\nhighlight-foreground: #000000\nmenubar-background: #464646\nmenubar-foreground: #ffffff\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: #98989D\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #323232\npre-background: #464646\npre-border: transparent\nprimary: #0A84FF\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #FF9F0A\nsidebar-controls-foreground: #8E8E93\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: #3F638B\nsidebar-tab-background: <<colour background>>\nsidebar-tab-border-selected: <<colour background>>\nsidebar-tab-border: <<colour background>>\nsidebar-tab-divider: <<colour background>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: #ffffff\nstatic-alert-foreground: #B4B4B4\ntab-background-selected: #3F638B\ntab-background: <<colour page-background>>\ntab-border-selected: <<colour page-background>>\ntab-border: <<colour page-background>>\ntab-divider: <<colour page-background>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #464646\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #48484A\ntag-foreground: #323232\ntiddler-background: <<colour background>>\ntiddler-border: transparent\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: #48484A\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #1E1E1E\ntiddler-info-border: #1E1E1E\ntiddler-info-tab-background: #3F638B\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: #464646\nselection-background: #3F638B\nselection-foreground: #ffffff\nwikilist-background: <<colour page-background>>\nwikilist-button-background: #3F638B\nwikilist-button-foreground: <<colour foreground>>\nwikilist-button-open: #32D74B\nwikilist-button-open-hover: #32D74B\nwikilist-button-reveal: #0A84FF\nwikilist-button-reveal-hover: #0A84FF\nwikilist-button-remove: #FF453A\nwikilist-button-remove-hover: #FF453A\nwikilist-droplink-dragover: #32D74B\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour foreground>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-url: <<colour muted-foreground>>\n"},"$:/palettes/DarkPhotos":{"title":"$:/palettes/DarkPhotos","created":"20150402111612188","description":"Good with dark photo backgrounds","modified":"20150402112344080","name":"DarkPhotos","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","color-scheme":"light","text":"alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"},"$:/palettes/DesertSand":{"title":"$:/palettes/DesertSand","tags":"$:/tags/Palette","color-scheme":"light","name":"Desert Sand","description":"A desert sand palette","type":"application/x-tiddler-dictionary","text":"alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #E9E0C7\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour foreground>>\ncode-background: #F3EDDF\ncode-border: #C3BAA1\ncode-foreground: #ab3250\ndiff-delete-background: #bd8b8b\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #91c093\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ad3434\ndownload-background: #6ca16c\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #E9E0C7\ndropdown-tab-background: #BAB29C\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #313163\nexternal-link-foreground: #555592\nforeground: #2D2A23\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmenubar-background: #CDC2A6\nmenubar-foreground: #5A5446\nmessage-background: #ECE5CF\nmessage-border: #D6CBAA\nmessage-foreground: #5f6e7d\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #8A8885\nmodal-footer-background: #CDC2A6\nmodal-footer-border: #9D998E\nmodal-header-border: #9D998E\nmuted-foreground: #9D998E\nnotification-background: #F0E9D7\nnotification-border: #939189\npage-background: #e0d3af\npre-background: #D6CBAA\npre-border: #CDC2A6\nprimary: #5B6F55\nselection-background: #9D947B\nselection-foreground: <<colour foreground>>\nselect-tag-background: #F0E9D7\nselect-tag-foreground: #2D2A23\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #2D2A23\nsidebar-controls-foreground: #867F69\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #867F69\nsidebar-muted-foreground-hover: #706A58\nsidebar-muted-foreground: #B3A98C\nsidebar-tab-background-selected: #e0d3af\nsidebar-tab-background: #A6A193\nsidebar-tab-border-selected: #C3BAA1\nsidebar-tab-border: #C3BAA1\nsidebar-tab-divider: #CDC2A6\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #2D2A23\nsidebar-tiddler-link-foreground-hover: #433F35\nsidebar-tiddler-link-foreground: #706A58\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #A6A193\ntab-background-selected: #E9E0C7\ntab-background: #A6A193\ntab-border-selected: #C3BAA1\ntab-border: #C3BAA1\ntab-divider: #CDC2A6\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #2D2A23\ntable-border: #9D998E\ntable-footer-background: #8A8885\ntable-header-background: #B0AA98\ntag-background: #706A58\ntag-foreground: #E3D7B7\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #9D947B\ntiddler-controls-foreground-selected: #706A58\ntiddler-controls-foreground: #C3BAA1\ntiddler-editor-background: #E9E0C7\ntiddler-editor-border-image: #A6A193\ntiddler-editor-border: #A6A193\ntiddler-editor-fields-even: #D6CBAA\ntiddler-editor-fields-odd: #C3BAA1\ntiddler-info-background: #E3D7B7\ntiddler-info-border: #BAB29C\ntiddler-info-tab-background: #E9E0C7\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #867F69\ntiddler-title-foreground: #374464\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #8A8885\nvery-muted-foreground: #CDC2A6\nwikilist-background: <<colour page-background>>\nwikilist-item: #CDC2A6\nwikilist-info: #161512\nwikilist-title: #433F35\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #706A58\nwikilist-button-open: #7db66a\nwikilist-button-open-hover: #56a556\nwikilist-button-reveal: #5a6c9e\nwikilist-button-reveal-hover: #454591\nwikilist-button-remove: #bc5972\nwikilist-button-remove-hover: #814040\nwikilist-toolbar-background: #CDC2A6\nwikilist-toolbar-foreground: #2D2A23\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #A6A193\nwikilist-button-foreground: #161512\n"},"$:/palettes/GruvboxDark":{"title":"$:/palettes/GruvboxDark","name":"Gruvbox Dark","color-scheme":"dark","description":"Retro groove color scheme","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","license":"https://github.com/morhetz/gruvbox","text":"alert-background: #cc241d\nalert-border: #cc241d\nalert-highlight: #d79921\nalert-muted-foreground: #504945\nbackground: #3c3836\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour foreground>>\ncode-background: #504945\ncode-border: #504945\ncode-foreground: #fb4934\ndiff-delete-background: #fb4934\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #b8bb26\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #fb4934\ndownload-background: #b8bb26\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #665c54\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ebdbb2\ndropdown-tab-background: #665c54\ndropzone-background: #98971a\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #d3869b\nexternal-link-foreground: #8ec07c\nforeground: #fbf1c7\nhighlight-background: #ffff79\nhighlight-foreground: #000000\nmenubar-background: #504945\nmenubar-foreground: <<colour foreground>>\nmessage-background: #83a598\nmessage-border: #83a598\nmessage-foreground: #3c3836\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #504945\nmodal-footer-background: #3c3836\nmodal-footer-border: #3c3836\nmodal-header-border: #3c3836\nmuted-foreground: #d5c4a1\nnotification-background: <<colour primary>>\nnotification-border: <<colour primary>>\npage-background: #282828\npre-background: #504945\npre-border: #504945\nprimary: #d79921\nselect-tag-background: #665c54\nselect-tag-foreground: <<colour foreground>>\nselection-background: #458588\nselection-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #7c6f64\nsidebar-controls-foreground: #504945\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #fbf1c7\nsidebar-muted-foreground-hover: #7c6f64\nsidebar-muted-foreground: #504945\nsidebar-tab-background-selected: #bdae93\nsidebar-tab-background: #3c3836\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #bdae93\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #282828\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #458588\nsidebar-tiddler-link-foreground: #98971a\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ebdbb2\ntab-background: #665c54\ntab-border-selected: #665c54\ntab-border: #665c54\ntab-divider: #bdae93\ntab-foreground-selected: #282828\ntab-foreground: #ebdbb2\ntable-border: #7c6f64\ntable-footer-background: #665c54\ntable-header-background: #504945\ntag-background: #d3869b\ntag-foreground: #282828\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #7c6f64\ntiddler-controls-foreground-selected: <<colour primary>>\ntiddler-controls-foreground: #665c54\ntiddler-editor-background: #32302f\ntiddler-editor-border-image: #282828\ntiddler-editor-border: #282828\ntiddler-editor-fields-even: #504945\ntiddler-editor-fields-odd: #7c6f64\ntiddler-info-background: #32302f\ntiddler-info-border: #ebdbb2\ntiddler-info-tab-background: #ebdbb2\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #7c6f64\ntiddler-title-foreground: #a89984\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #504945\nvery-muted-foreground: #bdae93\nwikilist-background: <<colour page-background>>\nwikilist-button-background: #acacac\nwikilist-button-foreground: <<colour button-foreground>>\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: <<colour muted-foreground>>\nwikilist-button-open-hover: <<colour primary>>\nwikilist-button-open: <<colour dropzone-background>>\nwikilist-button-remove: <<colour dirty-indicator>>\nwikilist-button-remove-hover: <<colour alert-background>>\nwikilist-droplink-dragover: <<colour dropzone-background>>\nwikilist-button-reveal: <<colour sidebar-tiddler-link-foreground-hover>>\nwikilist-button-reveal-hover: <<colour message-background>>\n"},"$:/palettes/Nord":{"title":"$:/palettes/Nord","name":"Nord","color-scheme":"dark","description":"An arctic, north-bluish color palette.","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","license":"MIT, arcticicestudio, https://github.com/arcticicestudio/nord/blob/develop/LICENSE.md","text":"alert-background: #D08770\nalert-border: #D08770\nalert-highlight: #B48EAD\nalert-muted-foreground: #4C566A\nbackground: #3b4252\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour foreground>>\ncode-background: #2E3440\ncode-border: #2E3440\ncode-foreground: #BF616A\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #A3BE8C\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #BF616A\ndownload-background: #A3BE8C\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ECEFF4\ndropdown-tab-background: #4C566A\ndropzone-background: #A3BE8C\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #5E81AC\nexternal-link-foreground: #8FBCBB\nforeground: #d8dee9\nhighlight-background: #ffff78\nhighlight-foreground: #000000\nmenubar-background: #2E3440\nmenubar-foreground: #d8dee9\nmessage-background: #2E3440\nmessage-border: #2E3440\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #3b4252\nmodal-footer-background: #3b4252\nmodal-footer-border: #3b4252\nmodal-header-border: #3b4252\nmuted-foreground: #4C566A\nnotification-background: <<colour primary>>\nnotification-border: #EBCB8B\npage-background: #2e3440\npre-background: #2E3440\npre-border: #2E3440\nprimary: #5E81AC\nselect-tag-background: #3b4252\nselect-tag-foreground: <<colour foreground>>\nselection-background: #5E81AC\nselection-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #D8DEE9\nsidebar-controls-foreground: #4C566A\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #D8DEE9\nsidebar-muted-foreground-hover: #4C566A\nsidebar-muted-foreground: #4C566A\nsidebar-tab-background-selected: #ECEFF4\nsidebar-tab-background: #4C566A\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #4C566A\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #4C566A\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #A3BE8C\nsidebar-tiddler-link-foreground: #81A1C1\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ECEFF4\ntab-background: #4C566A\ntab-border-selected: #4C566A\ntab-border: #4C566A\ntab-divider: #4C566A\ntab-foreground-selected: #4C566A\ntab-foreground: #D8DEE9\ntable-border: #4C566A\ntable-footer-background: #2e3440\ntable-header-background: #2e3440\ntag-background: #A3BE8C\ntag-foreground: #4C566A\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: \ntiddler-controls-foreground-selected: #EBCB8B\ntiddler-controls-foreground: #4C566A\ntiddler-editor-background: #2e3440\ntiddler-editor-border-image: #2e3440\ntiddler-editor-border: #3b4252\ntiddler-editor-fields-even: #2e3440\ntiddler-editor-fields-odd: #2e3440\ntiddler-info-background: #2e3440\ntiddler-info-border: #2e3440\ntiddler-info-tab-background: #2e3440\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #4C566A\ntiddler-title-foreground: #81A1C1\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #2d3038\nvery-muted-foreground: #2d3038\nwikilist-background: <<colour page-background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-item: <<colour background>>\nwikilist-title: <<colour foreground>>\nwikilist-info: <<colour muted-foreground>>\nwikilist-button-open: #A3BE8C\nwikilist-button-open-hover: #A3BE8C\nwikilist-button-reveal: #81A1C1\nwikilist-button-reveal-hover: #81A1C1\nwikilist-button-remove: #B48EAD\nwikilist-button-remove-hover: #B48EAD\n"},"$:/palettes/Rocker":{"title":"$:/palettes/Rocker","name":"Rocker","color-scheme":"dark","description":"A dark theme","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","text":"alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"},"$:/palettes/SolarFlare":{"title":"$:/palettes/SolarFlare","name":"Solar Flare","color-scheme":"light","description":"Warm, relaxing earth colours","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","text":": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n    download-foreground: <<colour background>>\n    dragger-foreground: <<colour background>>\n    dropdown-background: <<colour background>>\n    modal-background: <<colour background>>\n    sidebar-foreground-shadow: <<colour background>>\n    tiddler-background: <<colour background>>\n    tiddler-border: <<colour background>>\n    tiddler-link-background: <<colour background>>\n    tab-background-selected: <<colour background>>\n        dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n    dragger-background: <<colour foreground>>\n    tab-foreground: <<colour foreground>>\n        tab-foreground-selected: <<colour tab-foreground>>\n            sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n        sidebar-tab-foreground: <<colour tab-foreground>>\n    sidebar-button-foreground: <<colour foreground>>\n    sidebar-controls-foreground: <<colour foreground>>\n    sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n    alert-muted-foreground: <<colour base01>>\n: base00\n    code-foreground: <<colour base00>>\n    message-foreground: <<colour base00>>\n    tag-foreground: <<colour base00>>\n: base0\n    sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n    muted-foreground: <<colour base1>>\n        blockquote-bar: <<colour muted-foreground>>\n        dropdown-border: <<colour muted-foreground>>\n        sidebar-muted-foreground: <<colour muted-foreground>>\n        tiddler-title-foreground: <<colour muted-foreground>>\n            site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n    modal-footer-background: <<colour base2>>\n    page-background: <<colour base2>>\n        modal-backdrop: <<colour page-background>>\n        notification-background: <<colour page-background>>\n        code-background: <<colour page-background>>\n            code-border: <<colour code-background>>\n        pre-background: <<colour page-background>>\n            pre-border: <<colour pre-background>>\n        sidebar-tab-background-selected: <<colour page-background>>\n    table-header-background: <<colour base2>>\n    tag-background: <<colour base2>>\n    tiddler-editor-background: <<colour base2>>\n    tiddler-info-background: <<colour base2>>\n    tiddler-info-tab-background: <<colour base2>>\n    tab-background: <<colour base2>>\n        dropdown-tab-background: <<colour tab-background>>\n: base3\n    alert-background: <<colour base3>>\n    message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n    alert-highlight: <<colour magenta>>\n: violet\n    external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n    tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n    external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n    primary: <<colour blue-muted>>\n        download-background: <<colour primary>>\n        tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-border: #cfd6e6\nmodal-border: #999999\nselect-tag-background:\nselect-tag-foreground:\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n    modal-footer-border: <<colour tab-border>>\n    modal-header-border: <<colour tab-border>>\n    notification-border: <<colour tab-border>>\n    sidebar-tab-border: <<colour tab-border>>\n    tab-border-selected: <<colour tab-border>>\n        sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n    sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"},"$:/palettes/SolarizedDark":{"title":"$:/palettes/SolarizedDark","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","description":"Precision dark colors for machines and people","license":"MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE","name":"SolarizedDark","color-scheme":"dark","text":"alert-background: #073642\nalert-border: #93a1a1\nalert-highlight: #d33682\nalert-muted-foreground: #d33682\nbackground: #073642\nblockquote-bar: #d33682\nbutton-background: #073642\nbutton-border: #586e75\nbutton-foreground: #93a1a1\ncode-background: #073642\ncode-border: #586e75\ncode-foreground: #93a1a1\ndirty-indicator: inherit\ndownload-background: #859900\ndownload-foreground: #073642\ndragger-background: #073642\ndragger-foreground: #839496\ndropdown-background: #073642\ndropdown-border: #93a1a1\ndropdown-tab-background: #002b36\ndropdown-tab-background-selected: #073642\ndropzone-background: #859900\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: #268bd2\nexternal-link-foreground-hover:\nexternal-link-foreground-visited: #268bd2\nforeground: #839496\nhighlight-background: #ffff78\nhighlight-foreground: #000000\nmessage-background: #002b36\nmessage-border: #586e75\nmessage-foreground: #839496\nmodal-backdrop: #657b83\nmodal-background: #002b36\nmodal-border: #586e75\nmodal-footer-background: #073642\nmodal-footer-border: #586e75\nmodal-header-border: #586e75\nmuted-foreground: #93a1a1\nnotification-background: #002b36\nnotification-border: #586e75\npage-background: #073642\npre-background: inherit\npre-border: #657b83\nprimary: #859900\nselect-tag-background: #002b36\nselect-tag-foreground: #839496\nsidebar-button-foreground: #93a1a1\nsidebar-controls-foreground: #93a1a1\nsidebar-controls-foreground-hover: #eee8d5\nsidebar-foreground: #93a1a1\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: #839496\nsidebar-muted-foreground-hover: #93a1a1\nsidebar-tab-background: #002b36\nsidebar-tab-background-selected: #073642\nsidebar-tab-border: #073642\nsidebar-tab-border-selected: #839496\nsidebar-tab-divider: #002b36\nsidebar-tab-foreground: #657b83\nsidebar-tab-foreground-selected: #93a1a1\nsidebar-tiddler-link-foreground: #2aa198\nsidebar-tiddler-link-foreground-hover: #eee8d5\nsite-title-foreground: #d33682\nstatic-alert-foreground: #93a1a1\ntab-background: #073642\ntab-background-selected: #002b36\ntab-border: #586e75\ntab-border-selected: #93a1a1\ntab-divider: #93a1a1\ntab-foreground: #839496\ntab-foreground-selected: #93a1a1\ntable-border: #586e75\ntable-footer-background: #073642\ntable-header-background: #073642\ntag-background: #b58900\ntag-foreground: #002b36\ntiddler-background: #002b36\ntiddler-border: #586e75\ntiddler-controls-foreground: inherit\ntiddler-controls-foreground-hover: #d33682\ntiddler-controls-foreground-selected: #2aa198\ntiddler-editor-background: #002b36\ntiddler-editor-border: #073642\ntiddler-editor-border-image: #002b36\ntiddler-editor-fields-even: #002b36\ntiddler-editor-fields-odd: #073642\ntiddler-info-background: #073642\ntiddler-info-border: #657b83\ntiddler-info-tab-background: #002b36\ntiddler-link-background: #002b36\ntiddler-link-foreground: #2aa198\ntiddler-subtitle-foreground: #839496\ntiddler-title-foreground: #d33682\ntoolbar-cancel-button: #839496\ntoolbar-close-button: #839496\ntoolbar-delete-button: #dc322f\ntoolbar-done-button: #839496\ntoolbar-edit-button: #839496\ntoolbar-info-button: #839496\ntoolbar-new-button: #839496\ntoolbar-options-button: #839496\ntoolbar-save-button: inherit\nuntagged-background: #586e75\nvery-muted-foreground: #586e75\n"},"$:/palettes/SolarizedLight":{"title":"$:/palettes/SolarizedLight","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","description":"Precision colors for machines and people","license":"MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE","name":"SolarizedLight","color-scheme":"light","text":"alert-background: #eee8d5\nalert-border: #586e75\nalert-highlight: #d33682\nalert-muted-foreground: #d33682\nbackground: #eee8d5\nblockquote-bar: #d33682\nbutton-background: #eee8d5\nbutton-border: #93a1a1\nbutton-foreground: #586e75\ncode-background: #eee8d5\ncode-border: #93a1a1\ncode-foreground: #586e75\ndirty-indicator: inherit\ndownload-background: #859900\ndownload-foreground: #eee8d5\ndragger-background: #eee8d5\ndragger-foreground: #657b83\ndropdown-background: #eee8d5\ndropdown-border: #586e75\ndropdown-tab-background: #fdf6e3\ndropdown-tab-background-selected: #eee8d5\ndropzone-background: #859900\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: #268bd2\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #268bd2\nforeground: #657b83\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: #fdf6e3\nmessage-border: #93a1a1\nmessage-foreground: #657b83\nmodal-backdrop: #839496\nmodal-background: #fdf6e3\nmodal-border: #93a1a1\nmodal-footer-background: #eee8d5\nmodal-footer-border: #93a1a1\nmodal-header-border: #93a1a1\nmuted-foreground: #586e75\nnotification-background: #fdf6e3\nnotification-border: #93a1a1\npage-background: #eee8d5\npre-background: #eee8d5\npre-border: #839496\nprimary: #859900\nselect-tag-background: #fdf6e3\nselect-tag-foreground: #657b83\nsidebar-button-foreground: #586e75\nsidebar-controls-foreground: #586e75\nsidebar-controls-foreground-hover: #d33682\nsidebar-foreground: #586e75\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: #657b83\nsidebar-muted-foreground-hover: #586e75\nsidebar-tab-background: #fdf6e3\nsidebar-tab-background-selected: #eee8d5\nsidebar-tab-border: #eee8d5\nsidebar-tab-border-selected: #657b83\nsidebar-tab-divider: #fdf6e3\nsidebar-tab-foreground: #839496\nsidebar-tab-foreground-selected: #586e75\nsidebar-tiddler-link-foreground: #2aa198\nsidebar-tiddler-link-foreground-hover: #002b36\nsite-title-foreground: #d33682\nstatic-alert-foreground: #586e75\ntab-background: #eee8d5\ntab-background-selected: #fdf6e3\ntab-border: #93a1a1\ntab-border-selected: #586e75\ntab-divider: #586e75\ntab-foreground: #657b83\ntab-foreground-selected: #586e75\ntable-border: #93a1a1\ntable-footer-background: #eee8d5\ntable-header-background: #eee8d5\ntag-background: #b58900\ntag-foreground: #fdf6e3\ntiddler-background: #fdf6e3\ntiddler-border: #93a1a1\ntiddler-controls-foreground: inherit\ntiddler-controls-foreground-hover: #d33682\ntiddler-controls-foreground-selected: #2aa198\ntiddler-editor-background: #fdf6e3\ntiddler-editor-border: #eee8d5\ntiddler-editor-border-image: #fdf6e3\ntiddler-editor-fields-even: #fdf6e3\ntiddler-editor-fields-odd: #eee8d5\ntiddler-info-background: #eee8d5\ntiddler-info-border: #839496\ntiddler-info-tab-background: #fdf6e3\ntiddler-link-background: #fdf6e3\ntiddler-link-foreground: #2aa198\ntiddler-subtitle-foreground: #657b83\ntiddler-title-foreground: #d33682\ntoolbar-cancel-button: #657b83\ntoolbar-close-button: #657b83\ntoolbar-delete-button: #dc322f\ntoolbar-done-button: #657b83\ntoolbar-edit-button: #657b83\ntoolbar-info-button: #657b83\ntoolbar-new-button: #657b83\ntoolbar-options-button: #657b83\ntoolbar-save-button: inherit\nuntagged-background: #586e75\nvery-muted-foreground: #93a1a1\n"},"$:/palettes/SpartanDay":{"title":"$:/palettes/SpartanDay","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","description":"Cold, spartan day colors","name":"Spartan Day","color-scheme":"light","text":"alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #FAFAFA\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: #ececec\ncode-border: #ececec\ncode-foreground: \ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #FFFFFF\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #F5F5F5\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: \nexternal-link-foreground: \nforeground: rgba(0, 0, 0, 0.87)\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(0, 0, 0, 0.54)\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour very-muted-foreground>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(0, 0, 0, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #f4f4f4\npre-background: #ececec\npre-border: #ececec\nprimary: #3949ab\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #aeaeae\nsidebar-controls-foreground: #c6c6c6\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground-hover: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground: rgba(0, 0, 0, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(0, 0, 0, 0.87)\nsidebar-tab-foreground: rgba(0, 0, 0, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(0, 0, 0, 0.87)\nsidebar-tiddler-link-foreground: rgba(0, 0, 0, 0.54)\nsite-title-foreground: rgba(0, 0, 0, 0.87)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(0, 0, 0, 0.87)\ntab-foreground: rgba(0, 0, 0, 0.54)\ntable-border: #d8d8d8\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: #f9f9f9\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: #e8e7e7\ntiddler-editor-fields-even: rgba(0, 0, 0, 0.1)\ntiddler-editor-fields-odd: rgba(0, 0, 0, 0.04)\ntiddler-info-background: #F5F5F5\ntiddler-info-border: #F5F5F5\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #000000\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(0, 0, 0, 0.12)\n"},"$:/palettes/SpartanNight":{"title":"$:/palettes/SpartanNight","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","description":"Dark spartan colors","name":"Spartan Night","color-scheme":"dark","text":"alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #303030\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #424242\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #050505\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #7c318c\nexternal-link-foreground: #9e3eb3\nforeground: rgba(255, 255, 255, 0.7)\nhighlight-background: #ffff78\nhighlight-foreground: #000000\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(255, 255, 255, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #212121\npre-background: #2a2a2a\npre-border: transparent\nprimary: #5656f3\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #494949\nsidebar-controls-foreground: #5d5d5d\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: rgba(255, 255, 255, 0.7)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #3a3a3a\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: rgb(55,55,55)\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #454545\ntiddler-info-border: #454545\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(255, 255, 255, 0.12)\n"},"$:/palettes/Twilight":{"title":"$:/palettes/Twilight","tags":"$:/tags/Palette","author":"Thomas Elmiger","type":"application/x-tiddler-dictionary","name":"Twilight","description":"Delightful, soft darkness.","color-scheme":"dark","text":"alert-background: rgb(255, 255, 102)\nalert-border: rgb(232, 232, 125)\nalert-highlight: rgb(255, 51, 51)\nalert-muted-foreground: rgb(224, 82, 82)\nbackground: rgb(38, 38, 38)\nblockquote-bar: rgba(240, 196, 117, 0.7)\nbutton-background: rgb(63, 63, 63)\nbutton-border: rgb(127, 127, 127)\nbutton-foreground: rgb(179, 179, 179)\ncode-background: rgba(0,0,0,0.03)\ncode-border: rgba(0,0,0,0.08)\ncode-foreground: rgb(255, 94, 94)\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: rgb(255, 94, 94)\ndownload-background: #19a974\ndownload-foreground: rgb(38, 38, 38)\ndragger-background: rgb(179, 179, 179)\ndragger-foreground: rgb(38, 38, 38)\ndropdown-background: rgb(38, 38, 38)\ndropdown-border: rgb(255, 255, 255)\ndropdown-tab-background: rgba(0,0,0,.1)\ndropdown-tab-background-selected: rgba(255,255,255,1)\ndropzone-background: #9eebcf\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: rgb(179, 179, 255)\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: rgb(153, 153, 255)\nforeground: rgb(179, 179, 179)\nhighlight-background: #ffff78\nhighlight-foreground: #000000\nmessage-background: <<colour tag-foreground>>\nmessage-border: #96ccff\nmessage-foreground: <<colour tag-background>>\nmodal-backdrop: rgb(179, 179, 179)\nmodal-background: rgb(38, 38, 38)\nmodal-border: rgba(0,0,0,.5)\nmodal-footer-background: #f4f4f4\nmodal-footer-border: rgba(0,0,0,.1)\nmodal-header-border: rgba(0,0,0,.2)\nmuted-foreground: rgb(255, 255, 255)\nnotification-background: <<colour tag-foreground>>\nnotification-border: <<colour tag-background>>\npage-background: rgb(26, 26, 26)\npre-background: rgb(25, 25, 25)\npre-border: rgba(0,0,0,.2)\nprimary: rgb(255, 201, 102)\nselect-tag-background: \nselect-tag-foreground: \nsidebar-button-foreground: rgb(179, 179, 179)\nsidebar-controls-foreground: rgb(153, 153, 153)\nsidebar-controls-foreground-hover: <<colour tiddler-controls-foreground-hover>>\nsidebar-foreground: rgb(141, 141, 141)\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: rgba(0, 0, 0, 0.5)\nsidebar-muted-foreground-hover: rgb(141, 141, 141)\nsidebar-tab-background: rgba(141, 141, 141, 0.2)\nsidebar-tab-background-selected: rgb(26, 26, 26)\nsidebar-tab-border: rgb(127, 127, 127)\nsidebar-tab-border-selected: rgb(127, 127, 127)\nsidebar-tab-divider: rgb(127, 127, 127)\nsidebar-tab-foreground: rgb(179, 179, 179)\nsidebar-tab-foreground-selected: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground-hover: rgb(115, 115, 115)\nsite-title-foreground: rgb(255, 201, 102)\nstatic-alert-foreground: rgba(0,0,0,.3)\ntab-background: rgba(0,0,0,0.125)\ntab-background-selected: rgb(38, 38, 38)\ntab-border: rgb(255, 201, 102)\ntab-border-selected: rgb(255, 201, 102)\ntab-divider: rgb(255, 201, 102)\ntab-foreground: rgb(179, 179, 179)\ntab-foreground-selected: rgb(179, 179, 179)\ntable-border: rgba(255,255,255,.3)\ntable-footer-background: rgba(0,0,0,.4)\ntable-header-background: rgba(0,0,0,.1)\ntag-background: rgb(255, 201, 102)\ntag-foreground: rgb(25, 25, 25)\ntiddler-background: rgb(38, 38, 38)\ntiddler-border: rgba(240, 196, 117, 0.7)\ntiddler-controls-foreground: rgb(128, 128, 128)\ntiddler-controls-foreground-hover: rgba(255, 255, 255, 0.8)\ntiddler-controls-foreground-selected: rgba(255, 255, 255, 0.9)\ntiddler-editor-background: rgb(33, 33, 33)\ntiddler-editor-border: rgb(63, 63, 63)\ntiddler-editor-border-image: rgb(25, 25, 25)\ntiddler-editor-fields-even: rgb(33, 33, 33)\ntiddler-editor-fields-odd: rgb(28, 28, 28)\ntiddler-info-background: rgb(43, 43, 43)\ntiddler-info-border: rgb(25, 25, 25)\ntiddler-info-tab-background: rgb(43, 43, 43)\ntiddler-link-background: rgb(38, 38, 38)\ntiddler-link-foreground: rgb(204, 204, 255)\ntiddler-subtitle-foreground: rgb(255, 255, 255)\ntiddler-title-foreground: rgb(255, 192, 76)\ntoolbar-cancel-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-done-button: \ntoolbar-edit-button: \ntoolbar-info-button: \ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \nuntagged-background: rgb(255, 255, 255)\nvery-muted-foreground: rgba(240, 196, 117, 0.7)\n"},"$:/palettes/Vanilla":{"title":"$:/palettes/Vanilla","name":"Vanilla","description":"Pale and unobtrusive","tags":"$:/tags/Palette","type":"application/x-tiddler-dictionary","color-scheme":"light","text":"alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nhighlight-background: #ffff00\nhighlight-foreground: #000000\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnetwork-activity-foreground: #448844\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselection-background:\nselection-foreground:\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\nwikilist-background: #e5e5e5\nwikilist-item: #fff\nwikilist-info: #000\nwikilist-title: #666\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #aaa\nwikilist-button-open: #4fb82b\nwikilist-button-open-hover: green\nwikilist-button-reveal: #5778d8\nwikilist-button-reveal-hover: blue\nwikilist-button-remove: #d85778\nwikilist-button-remove-hover: red\nwikilist-toolbar-background: #d3d3d3\nwikilist-toolbar-foreground: #888\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #acacac\nwikilist-button-foreground: #000\n"},"$:/core/readme":{"title":"$:/core/readme","text":"This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"},"$:/library/sjcl.js/license":{"title":"$:/library/sjcl.js/license","type":"text/plain","text":"SJCL is open. You can use, modify and redistribute it under a BSD\nlicense or under the GNU GPL, version 2.0.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/BSD-2-Clause\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University. All rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are\nmet:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\nIS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED\nTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\nHOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\nSPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\nPROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\nLIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\nNEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/GPL-2.0\n\nThe Stanford Javascript Crypto Library (hosted here on GitHub) is a\nproject by the Stanford Computer Security Lab to build a secure,\npowerful, fast, small, easy-to-use, cross-browser library for\ncryptography in Javascript.\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University.\n\nThis program is free software; you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published by the\nFree Software Foundation; either version 2 of the License, or (at your\noption) any later version.\n\nThis program is distributed in the hope that it will be useful, but\nWITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General\nPublic License for more details.\n\nYou should have received a copy of the GNU General Public License along\nwith this program; if not, write to the Free Software Foundation, Inc.,\n59 Temple Place, Suite 330, Boston, MA 02111-1307 USA"},"$:/core/templates/MOTW.html":{"title":"$:/core/templates/MOTW.html","text":"\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)https://tiddlywiki.com -->&#13;&#10;"},"$:/core/templates/alltiddlers.template.html":{"title":"$:/core/templates/alltiddlers.template.html","type":"text/vnd.tiddlywiki-html","text":"<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"},"$:/core/templates/canonical-uri-external-image":{"title":"$:/core/templates/canonical-uri-external-image","text":"<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"},"$:/core/templates/canonical-uri-external-raw":{"title":"$:/core/templates/canonical-uri-external-raw","text":"<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external raw files that are stored in the same directory\n\n-->\n<$view field=\"title\" format=\"doubleurlencoded\"/>"},"$:/core/templates/canonical-uri-external-text":{"title":"$:/core/templates/canonical-uri-external-text","text":"<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"},"$:/core/templates/css-tiddler":{"title":"$:/core/templates/css-tiddler","text":"<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"},"$:/core/templates/exporters/CsvFile":{"title":"$:/core/templates/exporters/CsvFile","tags":"$:/tags/Exporter","description":"{{$:/language/Exporters/CsvFile}}","extension":".csv","text":"<$macrocall $name=\"csvtiddlers\" filter=<<exportFilter>> format=\"quoted-comma-sep\" $output=\"text/raw\"/>\n"},"$:/core/templates/exporters/JsonFile":{"title":"$:/core/templates/exporters/JsonFile","tags":"$:/tags/Exporter","description":"{{$:/language/Exporters/JsonFile}}","extension":".json","text":"<$macrocall $name=\"jsontiddlers\" filter=<<exportFilter>> $output=\"text/raw\"/>\n"},"$:/core/templates/exporters/StaticRiver":{"title":"$:/core/templates/exporters/StaticRiver","tags":"$:/tags/Exporter","description":"{{$:/language/Exporters/StaticRiver}}","extension":".html","text":"\\define tv-config-static() yes\n\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river tc-static-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"},"$:/core/templates/exporters/StaticRiver/Content":{"title":"$:/core/templates/exporters/StaticRiver/Content","text":"\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n<<renderContent>>\n"},"$:/core/templates/exporters/TidFile":{"title":"$:/core/templates/exporters/TidFile","tags":"$:/tags/Exporter","description":"{{$:/language/Exporters/TidFile}}","extension":".tid","condition":"[<count>compare:lte[1]]","text":"\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n<<renderContent>>"},"$:/core/save/all-external-js":{"title":"$:/core/save/all-external-js","text":"\\whitespace trim\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[prefix[$:/temp/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/core]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n\n<!-- Important: core library is provided by serving URI encoded $:/core/templates/tiddlywiki5.js -->\n\\define defaultCoreURL() %24%3A%2Fcore%2Ftemplates%2Ftiddlywiki5.js\n\n<$let coreURL={{{ [[coreURL]is[variable]then<coreURL>else<defaultCoreURL>] }}}>\n\t{{$:/core/templates/tiddlywiki5-external-js.html}}\n</$let>\n"},"$:/core/save/offline-external-js":{"title":"$:/core/save/offline-external-js","text":"\\whitespace trim\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[prefix[$:/temp/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/core]] -[[$:/plugins/tiddlywiki/filesystem]] -[[$:/plugins/tiddlywiki/tiddlyweb]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n\\define defaultCoreURL() tiddlywikicore-$(version)$.js\n<$let coreURL={{{ [[coreURL]is[variable]then<coreURL>else<defaultCoreURL>] }}}>\n\t{{$:/core/templates/tiddlywiki5-external-js.html}}\n</$let>\n"},"$:/core/templates/tiddlywiki.js/load-tiddler":{"title":"$:/core/templates/tiddlywiki.js/load-tiddler","text":"_load(window,<$macrocall $name=\"jsontiddler\" $output=\"text/raw\"/>);"},"$:/core/templates/tiddlywiki5.js":{"title":"$:/core/templates/tiddlywiki5.js","text":"\\rules only filteredtranscludeinline transcludeinline codeinline\n\n`/*\n`{{ $:/core/copyright.txt ||$:/core/templates/plain-text-tiddler}}`\n*/\n\n$tw = (typeof $tw === 'undefined') ? Object.create(null) : $tw;\n\n$tw.preloadTiddlers = $tw.preloadTiddlers || [];\n\n_load = function(window,tiddler) {\n\t\"use strict\";\n\tvar f;\n\t$tw.preloadTiddlers.push(tiddler);\n\tif(tiddler.library === \"yes\") {\n\t\tvar module = { exports:{} };\n\t\tvar moduleName = function moduleName(path) {\n\t\t\tvar word = path.split(\"/\").pop();\n\t\t\tword = word.substring(0,word.indexOf(\".\")) || word;\n\t\t\treturn word;\n\t\t}\n\t\tf = new Function(\"module\",tiddler.text);\n\t\tf(module);\n\t\twindow[moduleName(tiddler.title)] = module.exports;\n\t} else {\n\t\tf = new Function(\"window\",tiddler.text);\n\t\tf(window);\n\t}\n}\n\n/* ~~ Library modules ~~ */\n\n`{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/tiddlywiki.js/load-tiddler}}}`\n\n/* ~~ Boot kernel prologue ~~ */\n\n`{{ $:/boot/bootprefix.js ||$:/core/templates/tiddlywiki.js/load-tiddler}}`\n\n/* ~~ Core tiddlers ~~ */\n\n`{{$:/core/templates/tiddlywiki5.js/tiddlers}}`\n\n/* ~~ Boot kernel ~~ */\n\n`{{ $:/boot/boot.js ||$:/core/templates/tiddlywiki.js/load-tiddler}}`\n"},"$:/core/templates/tiddlywiki5.js/tiddlers":{"title":"$:/core/templates/tiddlywiki5.js/tiddlers","text":"`\n$tw.preloadTiddlerArray(`<$text text=<<jsontiddlers \"[[$:/core]]\">>/>`);\n$tw.preloadTiddlerArray([{\n\ttitle: \"$:/config/SaveWikiButton/Template\",\n\ttext: \"$:/core/save/offline-external-js\"\n}]);\n`\n"},"$:/core/templates/tiddlywiki5-external-js.html":{"title":"$:/core/templates/tiddlywiki5-external-js.html","text":"<$set name=\"saveTiddlerAndShadowsFilter\" filter=\"[subfilter<saveTiddlerFilter>] [subfilter<saveTiddlerFilter>plugintiddlers[]]\">\n`<!doctype html>\n`{{$:/core/templates/MOTW.html}}`<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}`\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"`{{$:/core/copyright.txt}}`\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>`{{$:/core/wiki/title}}`</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/core/wiki/rawmarkup]] ||$:/core/templates/plain-text-tiddler}}}`\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}`\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}`\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n`{{$:/boot/boot.css||$:/core/templates/css-tiddler}}`\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n`{{$:/core/templates/static.area}}`\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n`{{$:/core/templates/store.area.template.html}}`\n<!--~~ Raw markup for the bottom of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Load external JavaScripts ~~-->\n<script src=\"`{{{ [<coreURL>] }}}`\" onerror=\"alert('Error: Cannot load `{{{ [<coreURL>] }}}`');\"></script>\n</body>\n</html>`\n</$set>"},"$:/core/templates/html-div-skinny-tiddler":{"title":"$:/core/templates/html-div-skinny-tiddler","text":"<!--\n\nThis template is a variant of $:/core/templates/html-div-tiddler used for saving skinny tiddlers (with no text field)\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre></pre>\n</div>`\n"},"$:/core/templates/html-div-tiddler":{"title":"$:/core/templates/html-div-tiddler","text":"<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmltextencoded\" />`</pre>\n</div>`\n"},"$:/core/templates/html-json-skinny-tiddler":{"title":"$:/core/templates/html-json-skinny-tiddler","text":"<$text text=<<join>>/><$jsontiddler tiddler=<<currentTiddler>> exclude=\"text\" escapeUnsafeScriptChars=\"yes\"/>\n"},"$:/core/templates/html-json-tiddler":{"title":"$:/core/templates/html-json-tiddler","text":"<$jsontiddler tiddler=<<currentTiddler>> escapeUnsafeScriptChars=\"yes\"/>"},"$:/core/templates/html-tiddler":{"title":"$:/core/templates/html-tiddler","text":"<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"},"$:/core/templates/javascript-tiddler":{"title":"$:/core/templates/javascript-tiddler","text":"<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"},"$:/core/templates/json-tiddler":{"title":"$:/core/templates/json-tiddler","text":"<!--\n\nThis template is used for saving tiddlers as raw JSON\n\n--><$text text=<<jsontiddler>>/>"},"$:/core/templates/module-tiddler":{"title":"$:/core/templates/module-tiddler","text":"<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"},"$:/core/templates/plain-text-tiddler":{"title":"$:/core/templates/plain-text-tiddler","text":"<$view field=\"text\" format=\"text\" />"},"$:/core/templates/raw-static-tiddler":{"title":"$:/core/templates/raw-static-tiddler","text":"<!--\n\nThis template is used for saving tiddlers as static HTML\n\n--><$view field=\"text\" format=\"plainwikified\" />"},"$:/core/save/all":{"title":"$:/core/save/all","text":"\\import [subfilter{$:/core/config/GlobalImportFilter}]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[prefix[$:/temp/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"},"$:/core/save/empty":{"title":"$:/core/save/empty","text":"\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"},"$:/core/save/lazy-all":{"title":"$:/core/save/lazy-all","text":"\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] [is[tiddler]type[application/javascript]] +[sort[title]]\n\\end\n\\define skinnySaveTiddlerFilter()\n[!is[system]] -[type[application/javascript]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"},"$:/core/save/lazy-images":{"title":"$:/core/save/lazy-images","text":"\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[!is[system]is[image]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"},"$:/core/templates/server/static.sidebar.wikitext":{"title":"$:/core/templates/server/static.sidebar.wikitext","text":"\\whitespace trim\n<div class=\"tc-sidebar-scrollable\" style=\"overflow: auto;\" role=\"region\" aria-label={{$:/language/SideBar/Caption}}>\n<div class=\"tc-sidebar-header\">\n<h1 class=\"tc-site-title\">\n<$transclude tiddler=\"$:/SiteTitle\"/>\n</h1>\n<div class=\"tc-site-subtitle\">\n<$transclude tiddler=\"$:/SiteSubtitle\"/>\n</div>\n<h2>\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$list filter={{$:/DefaultTiddlers}}>\n<div class=\"tc-menu-list-subitem\">\n<$link><$text text=<<currentTiddler>>/></$link>\n</div>\n</$list>\n</div>\n<!-- Currently disabled the recent list as it is unweildy when the responsive narrow view kicks in\n<h2>\n{{$:/language/SideBar/Recent/Caption}}\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n</div>\n</div>\n</div>\n-->\n"},"$:/core/templates/server/static.tiddler.html":{"title":"$:/core/templates/server/static.tiddler.html","text":"\\whitespace trim\n\\define tv-config-static() yes\n\\define tv-wikilink-template() $uri_encoded$\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content={{$:/core/templates/version}} />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"%24%3A%2Fcore%2Ftemplates%2Fstatic.template.css\">\n<title><$view field=\"caption\" format=\"plainwikified\"><$view field=\"title\"/></$view>: <$view tiddler=\"$:/core/wiki/title\" format=\"plainwikified\"/></title>\n</head>\n<body class=\"tc-body\">\n<$transclude tiddler=\"$:/core/templates/server/static.sidebar.wikitext\" mode=\"inline\"/>\n<section class=\"tc-story-river\" role=\"main\">\n<div class=\"tc-tiddler-frame\" role=\"article\">\n<$transclude tiddler=\"$:/core/templates/server/static.tiddler.wikitext\" mode=\"inline\"/>\n</div>\n</section>\n</body>\n</html>"},"$:/core/templates/server/static.tiddler.wikitext":{"title":"$:/core/templates/server/static.tiddler.wikitext","text":"\\whitespace trim\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<h2><$text text=<<currentTiddler>>/></h2>\n</div>\n</div>\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n<div class=\"tc-tags-wrapper\">\n<$list filter=\"[all[current]tags[]sort[title]]\">\n<a href={{{ [<currentTiddler>encodeuricomponent[]] }}}>\n<$macrocall $name=\"tag-pill\" tag=<<currentTiddler>>/>\n</a>\n</$list>\n</div>\n<div class=\"tc-tiddler-body\">\n<$transclude mode=\"block\"/>\n</div>\n"},"$:/core/templates/single.tiddler.window":{"title":"$:/core/templates/single.tiddler.window","text":"\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n\n<$vars\n\ttv-config-toolbar-icons={{$:/config/Toolbar/Icons}}\n\ttv-config-toolbar-text={{$:/config/Toolbar/Text}}\n\ttv-config-toolbar-class={{$:/config/Toolbar/ButtonClass}}\n\ttv-show-missing-links={{$:/config/MissingLinks}}\n\tstoryviewTitle={{$:/view}}\n\tlanguageTitle={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude tiddler=\"$:/core/ui/ViewTemplate/body\" mode=\"block\"/>\n\n</$navigator>\n\n</div>\n\n</$vars>\n"},"$:/core/templates/split-recipe":{"title":"$:/core/templates/split-recipe","text":"<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"},"$:/core/templates/static-tiddler":{"title":"$:/core/templates/static-tiddler","text":"<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"},"$:/core/templates/static.area":{"title":"$:/core/templates/static.area","text":"<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawStaticContent]!has[draft.of]] ||$:/core/templates/raw-static-tiddler}}}\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n<!-- ensure splash screen isn't shown when JS is disabled -->\n`<style>\n.tc-remove-when-wiki-loaded {display: none;}\n</style>`\n"},"$:/core/templates/static.content":{"title":"$:/core/templates/static.content","text":"<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|https://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"},"$:/core/templates/static.template.css":{"title":"$:/core/templates/static.template.css","text":"{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"},"$:/core/templates/static.template.html":{"title":"$:/core/templates/static.template.html","type":"text/vnd.tiddlywiki-html","text":"\\define tv-config-static() yes\n\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"},"$:/core/templates/static.tiddler.html":{"title":"$:/core/templates/static.tiddler.html","text":"\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-static() yes\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river tc-static-story-river\">\n`<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>`\n</section>\n</body>\n</html>\n`\n"},"$:/core/templates/store.area.template.html":{"title":"$:/core/templates/store.area.template.html","text":"\\whitespace trim\n<!-- Unencrypted -->\n<$list filter=\"[[$:/isEncrypted]get[text]else[no]match[no]]\">\n    <$list filter=\"[[storeAreaFormat]is[variable]getvariable[]else[json]match[json]]\">\n        <!-- New-style JSON store area, with an old-style store area for compatibility with v5.1.x tooling -->\n        `<script class=\"tiddlywiki-tiddler-store\" type=\"application/json\">[`\n            <$let newline={{{ [charcode[10]] }}} join=`,$(newline)$`>\n                <$text text=<<newline>>/>\n                <$list filter=<<saveTiddlerFilter>> join=<<join>> template=\"$:/core/templates/html-json-tiddler\"/>\n                <$list filter=\"[subfilter<skinnySaveTiddlerFilter>]\"  template=\"$:/core/templates/html-json-skinny-tiddler\"/>\n                <$text text=<<newline>>/>\n            </$let>\n        `]</script>`\n        `<div id=\"storeArea\" style=\"display:none;\">`\n        `</div>`\n    </$list>\n    <$list filter=\"[[storeAreaFormat]is[variable]getvariable[]else[json]match[div]]\">\n        <!-- Old-style DIV/PRE-based store area -->\n        <$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n            `<div id=\"storeArea\" style=\"display:none;\">`\n                <$list filter={{{ [<saveTiddlerFilter>] }}} template=\"$:/core/templates/html-div-tiddler\"/>\n                <$list filter=\"[subfilter<skinnySaveTiddlerFilter>]\" template=\"$:/core/templates/html-div-skinny-tiddler\"/>\n            `</div>`\n        </$reveal>\n    </$list>\n</$list>\n<!-- Encrypted -->\n<$list filter=\"[[$:/isEncrypted]get[text]else[no]match[yes]]\">\n    `<!--~~ Encrypted tiddlers ~~-->`\n    `<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n        <$encrypt filter=<<saveTiddlerFilter>>/>\n    `</pre>`\n</$list>"},"$:/core/templates/tid-tiddler":{"title":"$:/core/templates/tid-tiddler","text":"<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"},"$:/core/templates/tiddler-metadata":{"title":"$:/core/templates/tiddler-metadata","text":"<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"},"$:/core/templates/tiddlywiki5.html":{"title":"$:/core/templates/tiddlywiki5.html","text":"<$set name=\"saveTiddlerAndShadowsFilter\" filter=\"[subfilter<saveTiddlerFilter>] [subfilter<saveTiddlerFilter>plugintiddlers[]]\">\n`<!doctype html>\n`{{$:/core/templates/MOTW.html}}`<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}`\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"`{{$:/core/copyright.txt}}`\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>`{{$:/core/wiki/title}}`</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/core/wiki/rawmarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}`\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n`{{$:/boot/boot.css||$:/core/templates/css-tiddler}}`\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n`{{$:/core/templates/static.area}}`\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n`{{$:/core/templates/store.area.template.html}}`\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n`{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}`\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n`{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n`{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Raw markup for the bottom of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}`\n</body>\n</html>`\n"},"$:/core/templates/version":{"title":"$:/core/templates/version","text":"<<version>>"},"$:/core/templates/wikified-tiddler":{"title":"$:/core/templates/wikified-tiddler","text":"<$transclude />"},"$:/core/ui/AboveStory/tw2-plugin-check":{"title":"$:/core/ui/AboveStory/tw2-plugin-check","tags":"$:/tags/AboveStory","text":"\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"},"$:/core/ui/Actions/new-image":{"title":"$:/core/ui/Actions/new-image","tags":"$:/tags/Actions","description":"create a new image tiddler","text":"\\whitespace trim\n<$action-sendmessage $message=\"tm-new-tiddler\" type={{{ [{$:/config/NewImageType}addprefix[image/]] }}}/>\n"},"$:/core/ui/Actions/new-journal":{"title":"$:/core/ui/Actions/new-journal","tags":"$:/tags/Actions","description":"create a new journal tiddler","text":"\\define get-tags() $(textFieldTags)$ $(tagsFieldTags)$\n\\whitespace trim\n<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} textFieldTags={{$:/config/NewJournal/Tags}} tagsFieldTags={{$:/config/NewJournal/Tags!!tags}} journalText={{$:/config/NewJournal/Text}}>\n<$wikify name=\"journalTitle\" text=\"<$macrocall $name='now' format=<<journalTitleTemplate>>/>\">\n<$reveal type=\"nomatch\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<get-tags>> text={{{ [<journalTitle>get[]] }}}/>\n</$reveal>\n<$reveal type=\"match\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<get-tags>> text=<<journalText>>/>\n</$reveal>\n</$wikify>\n</$vars>\n"},"$:/core/ui/Actions/new-tiddler":{"title":"$:/core/ui/Actions/new-tiddler","tags":"$:/tags/Actions","description":"create a new empty tiddler","text":"\\define get-tags() $(textFieldTags)$ $(tagsFieldTags)$\n\\whitespace trim\n<$vars textFieldTags={{$:/config/NewTiddler/Tags}} tagsFieldTags={{$:/config/NewTiddler/Tags!!tags}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<get-tags>>/>\n</$vars>\n"},"$:/core/ui/AdvancedSearch/Filter":{"title":"$:/core/ui/AdvancedSearch/Filter","tags":"$:/tags/AdvancedSearch","caption":"{{$:/language/Search/Filter/Caption}}","text":"\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\")\n<$macrocall $name=\"change-input-tab\"\n\tstateTitle=\"$:/state/tab--1498284803\"\n\ttag=\"$:/tags/AdvancedSearch\"\n\tbeforeafter=\"$beforeafter$\"\n\tdefaultState=\"$:/core/ui/AdvancedSearch/System\"\n\tactions=\"<$action-setfield $tiddler='$:/state/advancedsearch/currentTab' text=<<nextTab>>/>\"/>\n\\end\n\n\\define cancel-search-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/temp/advancedsearch/input}!match{$:/temp/advancedsearch}]\"\n\temptyMessage=\"<$action-deletetiddler $filter='[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]' />\">\n\t<$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/>\n\t<$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/>\n</$list>\n\\end\n\n\\define input-accept-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\"\n\temptyMessage=\"<$list filter='[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]'><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\">\n\t<$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/>\n</$list>\n\\end\n\n\\define input-accept-variant-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\"\n\temptyMessage=\"<$list filter='[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]'><$list filter='[<__tiddler__>get[text]minlength[1]]'><$action-sendmessage $message='tm-edit-tiddler' $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\">\n\t<$list filter=\"[<__tiddler__>get[text]minlength[1]]\">\n\t\t<$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/>\n</$list></$list>\n\\end\n\n\\whitespace trim\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\"\n\ttiddler=\"$:/temp/advancedsearch/input\"\n\tstoreTitle=\"$:/temp/advancedsearch\"\n\trefreshTitle=\"$:/temp/advancedsearch/refresh\"\n\tselectionStateTitle=\"$:/temp/advancedsearch/selected-item\"\n\ttype=\"search\"\n\ttag=\"input\"\n\tfocus={{$:/config/Search/AutoFocus}}\n\tconfigTiddlerFilter=\"[[$:/temp/advancedsearch]]\"\n\tfirstSearchFilterField=\"text\"\n\tinputAcceptActions=<<input-accept-actions>>\n\tinputAcceptVariantActions=<<input-accept-variant-actions>>\n\tinputCancelActions=<<cancel-search-actions>>/>\n</$keyboard>\n</$keyboard>\n&#32;\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]\"><$transclude/></$list>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"<$count filter={{$:/temp/advancedsearch}}/>\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}}>\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</div>\n</$set>\n</$reveal>\n"},"$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear":{"title":"$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear","tags":"$:/tags/AdvancedSearch/FilterButton","text":"\\whitespace trim\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n"},"$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete":{"title":"$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete","tags":"$:/tags/AdvancedSearch/FilterButton","text":"\\whitespace trim\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/DeleteTiddlers/Hint}} popup=<<qualify \"$:/state/filterDeleteDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/delete-button}}\n</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/filterDeleteDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<div class=\"tc-dropdown-item-plain\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n{{$:/language/ConfirmDeleteTiddlers}}\n</$set>\n</div>\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn\">\n<$action-deletetiddler $filter={{$:/temp/advancedsearch}}/>\n{{$:/language/Buttons/DeleteTiddlers/Hint}}\n</$button>\n</div>\n</div>\n</div>\n</$reveal>\n"},"$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown":{"title":"$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown","tags":"$:/tags/AdvancedSearch/FilterButton","text":"\\whitespace trim\n\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</span>\n\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher actions=\"<$action-setfield $tiddler='$:/temp/advancedsearch' text=<<navigateTo>>/><$action-setfield $tiddler='$:/temp/advancedsearch/input' text=<<navigateTo>>/><$action-setfield $tiddler='$:/temp/advancedsearch/refresh' text='yes'/><$action-sendmessage $message='tm-focus-selector' $param='.tc-advanced-search input' />\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]!is[draft]]\">\n<$link to={{!!filter}}><$let tv-wikilinks=\"no\"><$transclude field=\"description\"/></$let></$link>\n</$list>\n</div>\n</div>\n</$linkcatcher>\n</$set>\n</$reveal>\n"},"$:/core/ui/AdvancedSearch/Filter/FilterButtons/export":{"title":"$:/core/ui/AdvancedSearch/Filter/FilterButtons/export","tags":"$:/tags/AdvancedSearch/FilterButton","text":"\\whitespace trim\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n"},"$:/core/ui/AdvancedSearch/Shadows":{"title":"$:/core/ui/AdvancedSearch/Shadows","tags":"$:/tags/AdvancedSearch","caption":"{{$:/language/Search/Shadows/Caption}}","first-search-filter":"[all[shadows]search<userInput>sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]","text":"\\define lingo-base() $:/language/Search/\n\n\\define set-next-input-tab(beforeafter:\"after\")\n<$macrocall $name=\"change-input-tab\"\n\tstateTitle=\"$:/state/tab--1498284803\"\n\ttag=\"$:/tags/AdvancedSearch\"\n\tbeforeafter=\"$beforeafter$\"\n\tdefaultState=\"$:/core/ui/AdvancedSearch/System\"\n\tactions=\"<$action-setfield $tiddler='$:/state/advancedsearch/currentTab' text=<<nextTab>>/>\"/>\n\\end\n\n\\define cancel-search-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\"\n\temptyMessage=\"<$action-deletetiddler $filter='[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]' />\">\n\t<$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/>\n\t<$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/>\n</$list>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-advanced-search input\"/>\n\\end\n\n\\define input-accept-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\"\n\temptyMessage=\"<$list filter='[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]'><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\">\n\t<$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/>\n</$list>\n\\end\n\n\\define input-accept-variant-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\"\n\temptyMessage=\"<$list filter='[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]'><$list filter='[<__tiddler__>get[text]minlength[1]]'><$action-sendmessage $message='tm-edit-tiddler' $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\">\n\t<$list filter=\"[<__tiddler__>get[text]minlength[1]]\">\n\t\t<$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/>\n</$list></$list>\n\\end\n\n\\whitespace trim\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\"\n\ttiddler=\"$:/temp/advancedsearch/input\"\n\tstoreTitle=\"$:/temp/advancedsearch\"\n\trefreshTitle=\"$:/temp/advancedsearch/refresh\"\n\tselectionStateTitle=\"$:/temp/advancedsearch/selected-item\"\n\ttype=\"search\"\n\ttag=\"input\"\n\tfocus={{$:/config/Search/AutoFocus}}\n\tconfigTiddlerFilter=\"[[$:/core/ui/AdvancedSearch/Shadows]]\"\n\tinputCancelActions=<<cancel-search-actions>>\n\tinputAcceptActions=<<input-accept-actions>>\n\tinputAcceptVariantActions=<<input-accept-variant-actions>>\n\tfilterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n&#32;\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"<div class='tc-search-results'>{{$:/language/Search/Search/TooShort}}</div>\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"<$count filter='[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]'/>\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]\">\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"},"$:/core/ui/AdvancedSearch/Standard":{"title":"$:/core/ui/AdvancedSearch/Standard","tags":"$:/tags/AdvancedSearch","caption":"{{$:/language/Search/Standard/Caption}}","text":"\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"<$action-setfield $tiddler='$:/state/advancedsearch/currentTab' text=<<nextTab>>/>\"/>\n\n\\define next-search-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/advancedsearch\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"<$action-setfield $tiddler='$:/state/advancedsearch/standard/currentTab' text=<<nextTab>>/>\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\" emptyMessage=\"<$action-deletetiddler $filter='[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]' />\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list><$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-advanced-search input\"/>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"<$list filter='[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]'><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"<$list filter='[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]'><$list filter='[<__tiddler__>get[text]minlength[1]]'><$action-sendmessage $message='tm-edit-tiddler' $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\n\n\\whitespace trim\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$keyboard key=\"shift-alt-Right\" actions=<<next-search-tab>>>\n<$keyboard key=\"shift-alt-Left\" actions=<<next-search-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\"\n\ttiddler=\"$:/temp/advancedsearch/input\"\n\tstoreTitle=\"$:/temp/advancedsearch\"\n\trefreshTitle=\"$:/temp/advancedsearch/refresh\"\n\tselectionStateTitle=\"$:/temp/advancedsearch/selected-item\"\n\ttype=\"search\"\n\ttag=\"input\"\n\tfocus={{$:/config/Search/AutoFocus}}\n\tinputCancelActions=<<cancel-search-actions>>\n\tinputAcceptActions=<<input-accept-actions>>\n\tinputAcceptVariantActions=<<input-accept-variant-actions>>\n\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\"\n\tfilterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$list\n\tfilter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\"\n\temptyMessage=\"<div class='tc-search-results'>{{$:/language/Search/Search/TooShort}}</div>\"\n\tvariable=\"listItem\">\n<$vars\n\tuserInput={{{ [[$:/temp/advancedsearch]get[text]] }}}\n\tconfigTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}}\n\tsearchListState=\"$:/temp/advancedsearch/selected-item\">\n<$list\n\tfilter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\"\n\temptyMessage=\"<$list filter='[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]'><$transclude/></$list>\">\n<$macrocall $name=\"tabs\"\n\ttabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\"\n\tdefault={{$:/config/SearchResults/Default}}\n\tactions=\"<$action-setfield $tiddler='$:/state/advancedsearch/standard/currentTab' text=<<currentTab>>/>\"\n\texplicitState=\"$:/state/tab/search-results/advancedsearch\" />\n</$list>\n</$vars>\n</$list>\n</$reveal>\n"},"$:/core/ui/AdvancedSearch/System":{"title":"$:/core/ui/AdvancedSearch/System","tags":"$:/tags/AdvancedSearch","caption":"{{$:/language/Search/System/Caption}}","first-search-filter":"[is[system]search<userInput>sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]","text":"\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\",stateTitle,tag,defaultState,currentTabTiddler)\n<$macrocall $name=\"change-input-tab\"\n\tstateTitle=\"$:/state/tab--1498284803\"\n\ttag=\"$:/tags/AdvancedSearch\"\n\tbeforeafter=\"$beforeafter$\"\n\tdefaultState=\"$:/core/ui/AdvancedSearch/System\"\n\tactions=\"<$action-setfield $tiddler='$:/state/advancedsearch/currentTab' text=<<nextTab>>/>\"/>\n\\end\n\n\\define cancel-search-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\"\n\temptyMessage=\"<$action-deletetiddler $filter='[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]' />\">\n\t<$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/>\n\t<$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/>\n</$list>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-advanced-search input\"/>\n\\end\n\n\\define input-accept-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\"\n\temptyMessage=\"<$list filter='[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]'><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\">\n\t<$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/>\n</$list>\n\\end\n\n\\define input-accept-variant-actions()\n\\whitespace trim\n<$list\n\tfilter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\"\n\temptyMessage=\"<$list filter='[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]'><$list filter='[<__tiddler__>get[text]minlength[1]]'><$action-sendmessage $message='tm-edit-tiddler' $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\">\n\t<$list filter=\"[<__tiddler__>get[text]minlength[1]]\">\n\t\t<$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/>\n</$list></$list>\n\\end\n\n\\whitespace trim\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\"\n\ttiddler=\"$:/temp/advancedsearch/input\"\n\tstoreTitle=\"$:/temp/advancedsearch\"\n\trefreshTitle=\"$:/temp/advancedsearch/refresh\"\n\tselectionStateTitle=\"$:/temp/advancedsearch/selected-item\"\n\ttype=\"search\"\n\ttag=\"input\"\n\tfocus={{$:/config/Search/AutoFocus}}\n\tconfigTiddlerFilter=\"[[$:/core/ui/AdvancedSearch/System]]\"\n\tinputCancelActions=<<cancel-search-actions>>\n\tinputAcceptActions=<<input-accept-actions>>\n\tinputAcceptVariantActions=<<input-accept-variant-actions>>\n\tfilterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n&#32;\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"<div class='tc-search-results'>{{$:/language/Search/Search/TooShort}}</div>\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"<$count filter='[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]'/>\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]\">\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"},"$:/AdvancedSearch":{"title":"$:/AdvancedSearch","icon":"$:/core/images/advanced-search-button","color":"#bbb","text":"\\whitespace trim\n<div class=\"tc-advanced-search\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" default=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<currentTab>>/>\"\"\" explicitState=\"$:/state/tab--1498284803\"/>\n</div>\n"},"$:/core/ui/AlertTemplate":{"title":"$:/core/ui/AlertTemplate","code-body":"yes","text":"\\whitespace trim\n<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/cancel-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$wikify name=\"format\" text=<<lingo Tiddler/DateFormat>>>\n<$view field=\"component\"/>\n&#32;-&#32;\n<$view field=\"modified\" format=\"date\" template=<<format>>/>\n&#32;\n<$reveal type=\"nomatch\" state=\"!!count\" text=\"\">\n<span class=\"tc-alert-highlight\">\n({{$:/language/Count}}:&#32;<$view field=\"count\"/>)\n</span>\n</$reveal>\n</$wikify>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"},"$:/core/ui/BinaryWarning":{"title":"$:/core/ui/BinaryWarning","text":"\\define lingo-base() $:/language/BinaryWarning/\n<<lingo Prompt>>\n"},"$:/core/ui/VisibleTransclude":{"title":"$:/core/ui/VisibleTransclude","text":"<!--\nImport this component to make all the child transclusions visible.\n\nBlock transclusions are shown in red, and inline transclusions are shown in green.\n-->\n\\widget $transclude()\n<!-- Use a parameters widget so that we can access the `$params` data -->\n<$parameters tiddler=\"\" $$tiddler=\"\" mode=\"\" $$mode=\"\" $parseMode=\"@parseMode\" $params=\"@params\">\n\t<!-- Replicate the logic of the transclude widget to determine the output mode, and hence the tag and colour to use for output -->\n\t<$let\n\t\tmode={{{ [[$mode]is[variable]then<$mode>!is[blank]] :else[[mode]is[variable]then<mode>!is[blank]] :else[<@parseMode>] }}}\n\t\toutputTag={{{ [<mode>match[inline]then[span]else[div]] }}}\n\t\toutputColour={{{ [<mode>match[inline]then[green]else[red]] }}}\n\t>\n\t\t<!-- Use divs or spans according to the mode -->\n\t\t<$genesis $type=<<outputTag>> style=\"color:white;padding:4px;\" style.background=<<outputColour>>>\n\t\t\t<$genesis $type=<<outputTag>> style=\"display: inline-block;\">\n\t\t\t\t<div style=\"background:white;color:black;font-size: 12px;line-height:1.2;text-align:left;font-weight:normal;padding:4px;margin:4px;\">\n\t\t\t\t\t<!-- Render the parameters to the transclusion -->\n\t\t\t\t\t<$list filter=\"[<@params>jsonindexes[]]\" emptyMessage=\"(none)\">\n\t\t\t\t\t\t<div>\n\t\t\t\t\t\t\t<$text text=<<currentTiddler>>/><$text text=\": \"/><$text text={{{ [<@params>jsonget<currentTiddler>] }}}/>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$list>\n\t\t\t\t</div>\n\t\t\t</$genesis>\n\t\t\t<$genesis $type=<<outputTag>> style=\"background:white;color:black;padding:4px;\">\n\t\t\t\t<!-- Look for a parameter starting with $ to determine if we are in legacy mode -->\n\t\t\t\t<$list filter=\"[<@params>jsonindexes[]] :filter[<currentTiddler>prefix[$]] +[limit[1]]\" variable=\"ignore\" emptyMessage=\"\"\"\n\t\t\t\t\t<!-- Legacy mode: we render the transclusion without a dollar sign for recursionMarker and mode -->\n\t\t\t\t\t<$genesis $type=\"$transclude\" $remappable=\"no\" $names=\"[<@params>jsonindexes[]]\" $values=\"[<@params>jsonindexes[]] :map[<@params>jsonget<currentTiddler>]\" recursionMarker=\"no\" mode=<<mode>> $$fillignore=\"yes\">\n\t\t\t\t\t\t<!-- Reach back up to the grandparent transclusion to get the correct slot value -->\n\t\t\t\t\t\t<$slot $name=\"ts-raw\"/>\n\t\t\t\t\t</$genesis>\n\t\t\t\t\"\"\">\n\t\t\t\t\t<!-- Non-legacy mode: we use dollar signs for the recursionMarker and mode -->\n\t\t\t\t\t<$genesis $type=\"$transclude\" $remappable=\"no\" $names=\"[<@params>jsonindexes[]]\" $values=\"[<@params>jsonindexes[]] :map[<@params>jsonget<currentTiddler>]\" $$recursionMarker=\"no\" $$mode=<<mode>> $$fillignore=\"yes\">\n\t\t\t\t\t\t<!-- Reach back up to the grandparent transclusion to get the correct slot fill value -->\n\t\t\t\t\t\t<$slot $name=\"ts-raw\"/>\n\t\t\t\t\t</$genesis>\n\t\t\t\t</$list>\n\t\t\t</$genesis>\n\t\t</$genesis>\n\t</$let>\n</$parameters>\n\\end\n"},"$:/core/ui/Components/plugin-info":{"title":"$:/core/ui/Components/plugin-info","text":"\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage,default-popup-state)\n\\whitespace trim\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n\t<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n\t\t<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n\t\t\t{{$:/core/images/chevron-right}}\n\t\t</$button>\n\t</$reveal>\n\t<$reveal type=\"match\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n\t\t<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n\t\t\t{{$:/core/images/chevron-down}}\n\t\t</$button>\n\t</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n\t<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n\t\t<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n\t</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n\t<h1>\n\t\t''<$text text={{{ [<currentTiddler>get[name]] ~[<currentTiddler>split[/]last[1]] }}}/>'':&nbsp;<$view field=\"description\"><$view field=\"title\"/></$view>&nbsp;$disabledMessage$\n\t</h1>\n\t<h2>\n\t\t<$view field=\"title\"/>\n\t</h2>\n\t<h2>\n\t\t<div><em><$view field=\"version\"/></em></div>\n\t</h2>\n</div>\n\\end\n\n\\define plugin-info(type,default-popup-state)\n\\whitespace trim\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n\t<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n\t\t<$link to={{!!title}} class=\"tc-plugin-info\">\n\t\t\t<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\">>\n\t\t</$link>\n\t</$reveal>\n\t<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n\t\t<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n\t\t\t<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n\t\t</$link>\n\t</$reveal>\n\t<$reveal type=\"match\" text=\"yes\" state=<<popup-state>> default=\"\"\"$default-popup-state$\"\"\">\n\t\t<div class=\"tc-plugin-info-dropdown\">\n\t\t\t<div class=\"tc-plugin-info-dropdown-body\">\n\t\t\t\t<$list filter=\"[all[current]] -[[$:/core]]\">\n\t\t\t\t\t<div style=\"float:right;\">\n\t\t\t\t\t\t<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n\t\t\t\t\t\t\t<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n\t\t\t\t\t\t\t\t<<lingo Disable/Caption>>\n\t\t\t\t\t\t\t</$button>\n\t\t\t\t\t\t</$reveal>\n\t\t\t\t\t\t<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n\t\t\t\t\t\t\t<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n\t\t\t\t\t\t\t\t<<lingo Enable/Caption>>\n\t\t\t\t\t\t\t</$button>\n\t\t\t\t\t\t</$reveal>\n\t\t\t\t\t</div>\n\t\t\t\t</$list>\n\t\t\t\t<$set name=\"tabsList\" filter=\"[<currentTiddler>list[]] contents\">\n\t\t\t\t\t<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList=<<tabsList>> default={{{ [enlist<tabsList>] }}} template=\"$:/core/ui/PluginInfo\"/>\n\t\t\t\t</$set>\n\t\t\t</div>\n\t\t</div>\n\t</$reveal>\n</$set>\n\\end\n\n<$macrocall $name=\"plugin-info\" type=<<plugin-type>> default-popup-state=<<default-popup-state>>/>\n"},"$:/core/ui/Components/tag-link":{"title":"$:/core/ui/Components/tag-link","text":"\\whitespace trim\n<$link>\n<$set name=\"backgroundColor\" value={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerColourFilter]!is[draft]get[text]] }}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"},"$:/core/ui/ControlPanel/Advanced":{"title":"$:/core/ui/ControlPanel/Advanced","tags":"$:/tags/ControlPanel/Info","caption":"{{$:/language/ControlPanel/Advanced/Caption}}","text":"\\whitespace trim\n{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/TiddlerFields\" explicitState=\"$:/state/tab--959111941\"/>\n</div>\n"},"$:/core/ui/ControlPanel/Appearance":{"title":"$:/core/ui/ControlPanel/Appearance","tags":"$:/tags/ControlPanel","caption":"{{$:/language/ControlPanel/Appearance/Caption}}","text":"\\whitespace trim\n{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Theme\" explicitState=\"$:/state/tab--1963855381\"/>\n</div>\n"},"$:/snippets/retain-story-ordering-button":{"title":"$:/snippets/retain-story-ordering-button","text":"<$button set=\"$:/DefaultTiddlers\" setTo={{$:/config/ControlPanel/Basics/DefaultTiddlers/RetainStory}} ><<currentTiddler>></$button>"},"$:/core/ui/ControlPanel/Basics":{"title":"$:/core/ui/ControlPanel/Basics","tags":"$:/tags/ControlPanel/Info","caption":"{{$:/language/ControlPanel/Basics/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n\\whitespace trim\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-advanced-search input\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n&#32;\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\\whitespace trim\n\n|tc-max-width tc-edit-max-width|k\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit class=\"tc-edit-texteditor\" tiddler=\"$:/DefaultTiddlers\" autoHeight=\"yes\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/language/DefaultNewTiddlerTitle\"><<lingo NewTiddler/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/language/DefaultNewTiddlerTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Text\"><<lingo NewJournal/Text/Prompt>></$link> |<$edit tiddler=\"$:/config/NewJournal/Text\" class=\"tc-edit-texteditor\" default=\"\" autoHeight=\"yes\"/> |\n|<$link to=\"$:/config/NewTiddler/Tags\"><<lingo NewTiddler/Tags/Prompt>></$link> |<$vars currentTiddler=\"$:/config/NewTiddler/Tags\" tagField=\"text\">{{||$:/core/ui/EditTemplate/tags}}<$list filter=\"[<currentTiddler>tags[]] +[limit[1]]\" variable=\"ignore\"><$button tooltip={{$:/language/ControlPanel/Basics/RemoveTags/Hint}}><<lingo RemoveTags>><$action-listops $tiddler=<<currentTiddler>> $field=\"text\" $subfilter={{{ [<currentTiddler>get[tags]] }}}/><$action-setfield $tiddler=<<currentTiddler>> tags=\"\"/></$button></$list></$vars> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$vars currentTiddler=\"$:/config/NewJournal/Tags\" tagField=\"text\">{{||$:/core/ui/EditTemplate/tags}}<$list filter=\"[<currentTiddler>tags[]] +[limit[1]]\" variable=\"ignore\"><$button tooltip={{$:/language/ControlPanel/Basics/RemoveTags/Hint}}><<lingo RemoveTags>><$action-listops $tiddler=<<currentTiddler>> $field=\"text\" $subfilter={{{ [<currentTiddler>get[tags]] }}}/><$action-setfield $tiddler=<<currentTiddler>> tags=\"\"/></$button></$list></$vars> |\n|<$link to=\"$:/config/AutoFocus\"><<lingo AutoFocus/Prompt>></$link> |{{$:/snippets/minifocusswitcher}} |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"},"$:/core/ui/ControlPanel/EditTemplateBody":{"title":"$:/core/ui/ControlPanel/EditTemplateBody","tags":"$:/tags/ControlPanel/Cascades","caption":"{{$:/language/ControlPanel/EditTemplateBody/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/EditTemplateBody/\n\n<<lingo Hint>>\n\n{{$:/tags/EditTemplateBodyFilter||$:/snippets/ListTaggedCascade}}\n"},"$:/core/ui/ControlPanel/FieldEditor":{"title":"$:/core/ui/ControlPanel/FieldEditor","tags":"$:/tags/ControlPanel/Cascades","caption":"{{$:/language/ControlPanel/FieldEditor/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/FieldEditor/\n\n<<lingo Hint>>\n\n{{$:/tags/FieldEditorFilter||$:/snippets/ListTaggedCascade}}\n"},"$:/core/ui/ControlPanel/StoryTiddler":{"title":"$:/core/ui/ControlPanel/StoryTiddler","tags":"$:/tags/ControlPanel/Cascades","caption":"{{$:/language/ControlPanel/StoryTiddler/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/StoryTiddler/\n\n<<lingo Hint>>\n\n{{$:/tags/StoryTiddlerTemplateFilter||$:/snippets/ListTaggedCascade}}\n"},"$:/core/ui/ControlPanel/TiddlerColour":{"title":"$:/core/ui/ControlPanel/TiddlerColour","tags":"$:/tags/ControlPanel/Cascades","caption":"{{$:/language/ControlPanel/TiddlerColour/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/TiddlerColour/\n\n<<lingo Hint>>\n\n{{$:/tags/TiddlerColourFilter||$:/snippets/ListTaggedCascade}}\n"},"$:/core/ui/ControlPanel/TiddlerIcon":{"title":"$:/core/ui/ControlPanel/TiddlerIcon","tags":"$:/tags/ControlPanel/Cascades","caption":"{{$:/language/ControlPanel/TiddlerIcon/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/TiddlerIcon/\n\n<<lingo Hint>>\n\n{{$:/tags/TiddlerIconFilter||$:/snippets/ListTaggedCascade}}\n"},"$:/core/ui/ControlPanel/ViewTemplateBody":{"title":"$:/core/ui/ControlPanel/ViewTemplateBody","tags":"$:/tags/ControlPanel/Cascades","caption":"{{$:/language/ControlPanel/ViewTemplateBody/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/ViewTemplateBody/\n\n<<lingo Hint>>\n\n{{$:/tags/ViewTemplateBodyFilter||$:/snippets/ListTaggedCascade}}\n"},"$:/core/ui/ControlPanel/ViewTemplateTitle":{"title":"$:/core/ui/ControlPanel/ViewTemplateTitle","tags":"$:/tags/ControlPanel/Cascades","caption":"{{$:/language/ControlPanel/ViewTemplateTitle/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/ViewTemplateTitle/\n\n<<lingo Hint>>\n\n{{$:/tags/ViewTemplateTitleFilter||$:/snippets/ListTaggedCascade}}\n"},"$:/core/ui/ControlPanel/Cascades":{"title":"$:/core/ui/ControlPanel/Cascades","tags":"$:/tags/ControlPanel/Advanced","caption":"{{$:/language/ControlPanel/Cascades/Caption}}","text":"\\whitespace trim\n{{$:/language/ControlPanel/Cascades/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Cascades]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/StoryTiddler\"/>\n</div>\n"},"$:/core/ui/ControlPanel/EditorTypes":{"title":"$:/core/ui/ControlPanel/EditorTypes","tags":"$:/tags/ControlPanel/Advanced","caption":"{{$:/language/ControlPanel/EditorTypes/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\\whitespace trim\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"},"$:/core/ui/ControlPanel/Info":{"title":"$:/core/ui/ControlPanel/Info","tags":"$:/tags/ControlPanel","caption":"{{$:/language/ControlPanel/Info/Caption}}","text":"\\whitespace trim\n{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Basics\" explicitState=\"$:/state/tab--2112689675\"/>\n</div>\n"},"$:/core/ui/ControlPanel/KeyboardShortcuts":{"title":"$:/core/ui/ControlPanel/KeyboardShortcuts","tags":"$:/tags/ControlPanel","caption":"{{$:/language/ControlPanel/KeyboardShortcuts/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/KeyboardShortcuts/\n\n\\define new-shortcut(title)\n\\whitespace trim\n<div class=\"tc-dropdown-item-plain\">\n<$edit-shortcut tiddler=\"$title$\" placeholder={{$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt}} focus=\"true\" style=\"width:auto;\"/>\n&#32;\n<$button>\n<<lingo Add/Caption>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"[{$title$}]\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"$title$\"\n/>\n</$button>\n</div>\n\\end\n\n\\define shortcut-list-item(caption)\n\\whitespace trim\n<td>\n</td>\n<td style=\"text-align:right;font-size:0.7em;\">\n<<lingo Platform/$caption$>>\n</td>\n<td>\n<div style=\"position:relative;\">\n<$button popup=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> class=\"tc-btn-invisible\">\n{{$:/core/images/edit-button}}\n</$button>\n&#32;\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutTitle)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\n<$reveal state=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown tc-popup-keep\">\n<$list\n\tfilter=\"[list[$(shortcutTitle)$!!text]sort[title]]\"\n\tvariable=\"shortcut\"\n\temptyMessage=\"<div class='tc-dropdown-item-plain'>//<<lingo NoShortcuts/Caption>>//</div>\">\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint}}>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"+[remove<shortcut>]\"\n/>\n<small>{{$:/core/images/close-button}}</small>\n</$button>\n&#32;\n<kbd>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts=<<shortcut>>/>\n</kbd>\n</div>\n</$list>\n<hr/>\n<$macrocall $name=\"new-shortcut\" title=<<qualify \"$:/state/new-shortcut/$(shortcutTitle)$\">>/>\n</div>\n</div>\n</$reveal>\n</div>\n</td>\n\\end\n\n\\define shortcut-list(caption,prefix)\n\\whitespace trim\n<tr>\n<$list filter=\"[[$prefix$$(shortcutName)$]]\" variable=\"shortcutTitle\">\n<<shortcut-list-item \"$caption$\">>\n</$list>\n</tr>\n\\end\n\n\\define shortcut-editor()\n\\whitespace trim\n<<shortcut-list \"All\" \"$:/config/shortcuts/\">> \n<<shortcut-list \"Mac\" \"$:/config/shortcuts-mac/\">>\n<<shortcut-list \"NonMac\" \"$:/config/shortcuts-not-mac/\">>\n<<shortcut-list \"Linux\" \"$:/config/shortcuts-linux/\">>\n<<shortcut-list \"NonLinux\" \"$:/config/shortcuts-not-linux/\">>\n<<shortcut-list \"Windows\" \"$:/config/shortcuts-windows/\">>\n<<shortcut-list \"NonWindows\" \"$:/config/shortcuts-not-windows/\">>\n\\end\n\n\\define shortcut-preview()\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutPrefix)$$(shortcutName)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\\end\n\n\\define shortcut-item-inner()\n\\whitespace trim\n<tr>\n<td>\n<$reveal type=\"nomatch\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"open\"\n/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"close\"\n/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n&#32;\n''<$text text=<<shortcutName>>/>''\n</td>\n<td>\n<$transclude tiddler=\"$:/config/ShortcutInfo/$(shortcutName)$\"/>\n</td>\n<td>\n<$list filter=\"$:/config/shortcuts/ $:/config/shortcuts-mac/ $:/config/shortcuts-not-mac/ $:/config/shortcuts-linux/ $:/config/shortcuts-not-linux/ $:/config/shortcuts-windows/ $:/config/shortcuts-not-windows/\" variable=\"shortcutPrefix\">\n<<shortcut-preview>>\n</$list>\n</td>\n</tr>\n<$set name=\"dropdownState\" value={{$(dropdownStateTitle)$}}>\n<$list filter=\"[<dropdownState>match[open]]\" variable=\"listItem\">\n<<shortcut-editor>>\n</$list>\n</$set>\n\\end\n\n\\define shortcut-item()\n\\whitespace trim\n<$set name=\"dropdownStateTitle\" value=<<qualify \"$:/state/dropdown/keyboardshortcut/$(shortcutName)$\">>>\n<<shortcut-item-inner>>\n</$set>\n\\end\n\\whitespace trim\n\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$:/config/ShortcutInfo/]]\" variable=\"shortcutName\">\n<<shortcut-item>>\n</$list>\n</tbody>\n</table>\n"},"$:/core/ui/ControlPanel/LoadedModules":{"title":"$:/core/ui/ControlPanel/LoadedModules","tags":"$:/tags/ControlPanel/Advanced","caption":"{{$:/language/ControlPanel/LoadedModules/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"},"$:/core/ui/ControlPanel/Modals/AddPlugins":{"title":"$:/core/ui/ControlPanel/Modals/AddPlugins","subtitle":"{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}","text":"\\define install-plugin-actions()\n\\whitespace trim\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$set name=\"url\" value={{!!url}}>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[name]]\" variable=\"dependency\">\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url=<<url>> title=<<dependency>>/>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define install-plugin-button()\n\\whitespace trim\n<div>\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$set name=\"reinstall-type\" value={{{ [<libraryVersion>compare:version:eq<installedVersion>then[tc-reinstall]] [<libraryVersion>compare:version:gt<installedVersion>then[tc-reinstall-upgrade]] [<libraryVersion>compare:version:lt<installedVersion>then[tc-reinstall-downgrade]] }}}>\n<$button actions=<<install-plugin-actions>> class={{{ [<assetInfo>get[original-title]has[version]then<reinstall-type>] tc-btn-invisible tc-install-plugin +[join[ ]] }}}>\n{{$:/core/images/download-button}}\n&#32;\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Install/Caption}}\">\n<$list filter=\"[<libraryVersion>compare:version:gt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"\n\\whitespace trim\n<$list filter='[<libraryVersion>compare:version:lt<installedVersion>]' variable='ignore' emptyMessage='{{$:/language/ControlPanel/Plugins/Reinstall/Caption}}'>\n{{$:/language/ControlPanel/Plugins/Downgrade/Caption}}\n</$list>\n\">\n{{$:/language/ControlPanel/Plugins/Update/Caption}}\n</$list>\n</$list>\n</$button>\n<div>\n</div>\n<$reveal stateTitle=<<assetInfo>> stateField=\"requires-reload\" type=\"match\" text=\"yes\">{{$:/language/ControlPanel/Plugins/PluginWillRequireReload}}</$reveal>\n</$set>\n</$set>\n</$set>\n</div>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n\\whitespace trim\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1><strong><$text text={{{ [<assetInfo>get[name]] ~[<assetInfo>get[original-title]split[/]last[1]] }}}/></strong>:\n&#32;\n<$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\"><div><em>{{$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint}}</em></div></$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-buttons\">\n<<install-plugin-button>>\n</div>\n</div>\n<$set name=\"original-title\" value={{{ [<assetInfo>get[original-title]] }}}>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]] ~[<assetInfo>get[original-title]!is[tiddler]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]!is[tiddler]]\">\n{{$:/language/ControlPanel/Plugins/NotInstalled/Hint}}\n</$list>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]]\" variable=\"ignore\">\n<div>\n{{$:/language/ControlPanel/Plugins/AlsoRequires}}&#32;\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[name]]\" variable=\"dependency\">\n<$text text=<<dependency>>/>&#32;\n</$list>\n</div>\n</$list>\n</$set>\n</div>\n</$list>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-sub-plugins\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>sort[name]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n</$list>\n</div>\n</$reveal>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<$reveal type=\"nomatch\" text=\"yes\" state=<<popup-state>> tag=\"div\" class=\"tc-plugin-info-sub-plugin-indicator\">\n<$wikify name=\"count\" text=\"\"\"<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>]\"/>\"\"\">\n<$button class=\"tc-btn-invisible\" set=<<popup-state>> setTo=\"yes\">\n{{$:/language/ControlPanel/Plugins/SubPluginPrompt}}\n</$button>\n</$wikify>\n</$reveal>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n\\whitespace trim\n<$list filter=\"[<currentTiddler>get[enabled]else[yes]match[yes]]\" variable=\"ignore\">\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}}&#32;{{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n</$list>\n\\end\n\n\\define display-server-assets(type)\n\\whitespace trim\n{{$:/language/Search/Search}}:\n&#32;\n<$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n&#32;\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search:author,description,original-title,readme,title{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[name]]\" variable=\"assetInfo\">\n<$list filter=\"[[$:/temp/RemoteAssetSearch/$(currentTiddler)$]has[text]] ~[<assetInfo>!has[parent-plugin]]\" variable=\"ignore\"><!-- Hide sub-plugins if we're not searching -->\n<<display-plugin-info \"$type$\">>\n</$list>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n\\whitespace trim\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<$set name=\"transclusion\" value=<<connectionTiddler>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Updates]] [[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$set>\n\n</$list>\n\\end\n\n\\define close-library-button()\n\\whitespace trim\n<$reveal type='nomatch' state='$:/temp/ServerConnection/$(PluginLibraryURL)$' text=''>\n<$button class='tc-btn-big-green'>\n<$action-sendmessage $message=\"tm-unload-plugin-library\" url={{!!url}}/>\n{{$:/core/images/chevron-left}}&#32;{{$:/language/ControlPanel/Plugins/ClosePluginLibrary}}\n<$action-deletetiddler $filter=\"[prefix[$:/temp/ServerConnection/$(PluginLibraryURL)$]][prefix[$:/temp/RemoteAssetInfo/$(PluginLibraryURL)$]]\"/>\n</$button>\n</$reveal>\n\\end\n\n\\define plugin-library-listing()\n\\whitespace trim\n<div class=\"tc-tab-set\">\n<$set name=\"defaultTab\" value={{{ [all[tiddlers+shadows]tag[$:/tags/PluginLibrary]] }}}>\n<div class=\"tc-tab-buttons\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$button set=<<qualify \"$:/state/addplugins/tab\">> setTo=<<currentTiddler>> default=<<defaultTab>> selectedClass=\"tc-tab-selected\">\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude field=\"caption\"/>\n</$set>\n</$button>\n</$list>\n</div>\n<div class=\"tc-tab-divider\"/>\n<div class=\"tc-tab-content\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$reveal type=\"match\" state=<<qualify \"$:/state/addplugins/tab\">> text=<<currentTiddler>> default=<<defaultTab>>>\n<h2><$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link></h2>\n//<$view field=\"url\"/>//\n<$transclude mode=\"block\"/>\n<$set name=PluginLibraryURL value={{!!url}}>\n<<close-library-button>>\n</$set>\n&#32;\n<<display-server-connection>>\n</$reveal>\n</$list>\n</div>\n</$set>\n</div>\n\\end\n\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n\\whitespace trim\n\n<div>\n<<plugin-library-listing>>\n</div>\n"},"$:/core/ui/ControlPanel/Palette":{"title":"$:/core/ui/ControlPanel/Palette","tags":"$:/tags/ControlPanel/Appearance","caption":"{{$:/language/ControlPanel/Palette/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/PaletteManager}}\n\n</$reveal>\n\n"},"$:/core/ui/ControlPanel/Parsing":{"title":"$:/core/ui/ControlPanel/Parsing","tags":"$:/tags/ControlPanel/Advanced","caption":"{{$:/language/ControlPanel/Parsing/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define toggle(Type)\n\\whitespace trim\n<$checkbox\ntiddler=\"\"\"$:/config/WikiParserRules/$Type$/$(rule)$\"\"\"\nfield=\"text\"\nchecked=\"enable\"\nunchecked=\"disable\"\ndefault=\"enable\">\n<span class=\"tc-small-gap-left\"><<rule>></span>\n</$checkbox>\n\\end\n\n\\define rules(type,Type)\n\\whitespace trim\n<$list filter=\"[wikiparserrules[$type$]]\" variable=\"rule\">\n<dd><<toggle $Type$>></dd>\n</$list>\n\\end\n\\whitespace trim\n\n<<lingo Hint>>\n\n<dl>\n<dt><<lingo Pragma/Caption>></dt>\n<<rules pragma Pragma>>\n<dt><<lingo Inline/Caption>></dt>\n<<rules inline Inline>>\n<dt><<lingo Block/Caption>></dt>\n<<rules block Block>>\n</dl>"},"$:/core/ui/ControlPanel/Plugins/Add/Languages":{"title":"$:/core/ui/ControlPanel/Plugins/Add/Languages","caption":"{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)","text":"<<display-server-assets language>>\n"},"$:/core/ui/ControlPanel/Plugins/Add/Plugins":{"title":"$:/core/ui/ControlPanel/Plugins/Add/Plugins","caption":"{{$:/language/ControlPanel/Plugins/Plugins/Caption}}  (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)","text":"<<display-server-assets plugin>>\n"},"$:/core/ui/ControlPanel/Plugins/Add/Themes":{"title":"$:/core/ui/ControlPanel/Plugins/Add/Themes","caption":"{{$:/language/ControlPanel/Plugins/Themes/Caption}}  (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)","text":"<<display-server-assets theme>>\n"},"$:/core/ui/ControlPanel/Plugins/Add/Updates":{"title":"$:/core/ui/ControlPanel/Plugins/Add/Updates","caption":"<$importvariables filter=\"$:/core/ui/ControlPanel/Plugins/Add/Updates\">{{$:/language/ControlPanel/Plugins/Updates/Caption}} (<<update-count>>)</$importvariables>","text":"\\define each-updateable-plugin(body)\n\\whitespace trim\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}sort[title]]\" variable=\"assetInfo\">\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$list filter=\"[<assetInfo>get[original-title]has[version]!version<libraryVersion>]\" variable=\"ignore\">\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$list filter=\"[<installedversion>!match<libraryVersion>]\" variable=\"ignore\">\n$body$\n</$list>\n</$set>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define update-all-actions()\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<<install-plugin-actions>>\n\"\"\"/>\n\\end\n\n\\define update-count()\n<$wikify name=\"count-filter\" text=<<each-updateable-plugin \"&#91;&#91;<$text text=<<assetInfo>>/>]]\">>><$count filter=<<count-filter>>/></$wikify>\n\\end\n\n\\whitespace trim\n<$button actions=<<update-all-actions>> class=\"tc-btn-invisible tc-install-plugin tc-reinstall-upgrade\">\n{{$:/core/images/download-button}}\n&#32;\n{{||$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption}}\n</$button>\n\n<div class=\"tc-plugin-library-listing\">\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<$macrocall $name=\"display-plugin-info\" type={{{ [<assetInfo>get[original-plugin-type]] }}}/>\n\"\"\"/>\n</div>\n"},"$:/core/ui/ControlPanel/Plugins/AddPlugins":{"title":"$:/core/ui/ControlPanel/Plugins/AddPlugins","text":"\\define lingo-base() $:/language/ControlPanel/Plugins/\n\\whitespace trim\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green tc-primary-btn\">\n{{$:/core/images/download-button}}\n&#32;\n<<lingo Add/Caption>>\n</$button>\n"},"$:/core/ui/ControlPanel/Plugins/Installed/Languages":{"title":"$:/core/ui/ControlPanel/Plugins/Installed/Languages","tags":"$:/tags/ControlPanel/Plugins","caption":"{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)","text":"<<plugin-table language>>\n"},"$:/core/ui/ControlPanel/Plugins/Installed/Plugins":{"title":"$:/core/ui/ControlPanel/Plugins/Installed/Plugins","tags":"$:/tags/ControlPanel/Plugins","caption":"{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)","text":"<<plugin-table plugin>>\n"},"$:/core/ui/ControlPanel/Plugins/Installed/Themes":{"title":"$:/core/ui/ControlPanel/Plugins/Installed/Themes","tags":"$:/tags/ControlPanel/Plugins","caption":"{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)","text":"<<plugin-table theme>>\n"},"$:/core/ui/ControlPanel/Plugins":{"title":"$:/core/ui/ControlPanel/Plugins","tags":"$:/tags/ControlPanel","caption":"{{$:/language/ControlPanel/Plugins/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define plugin-table(type)\n\\whitespace trim\n<$set name=\"plugin-type\" value=\"\"\"$type$\"\"\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[name]]\" emptyMessage=<<lingo \"Empty/Hint\">> template=\"$:/core/ui/Components/plugin-info\"/>\n</$set>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[tiddlers+shadows]tag[$:/tags/ControlPanel/Plugins]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\" explicitState=\"$:/state/tab--86143343\"/>\n"},"$:/core/ui/ControlPanel/Saving/DownloadSaver":{"title":"$:/core/ui/ControlPanel/Saving/DownloadSaver","tags":"$:/tags/ControlPanel/Saving","caption":"{{$:/language/ControlPanel/Saving/DownloadSaver/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Saving/DownloadSaver/\n\n<<lingo Hint>>\n\n!! <$link to=\"$:/config/DownloadSaver/AutoSave\"><<lingo AutoSave/Hint>></$link>\n\n<$checkbox tiddler=\"$:/config/DownloadSaver/AutoSave\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <<lingo AutoSave/Description>> </$checkbox>\n"},"$:/core/ui/ControlPanel/Saving/General":{"title":"$:/core/ui/ControlPanel/Saving/General","tags":"$:/tags/ControlPanel/Saving","caption":"{{$:/language/ControlPanel/Saving/General/Caption}}","list-before":"","text":"\\define lingo-base() $:/language/ControlPanel/Settings/\n\n{{$:/language/ControlPanel/Saving/General/Hint}}\n\n!! <$link to=\"$:/config/AutoSave\"><<lingo AutoSave/Caption>></$link>\n\n<<lingo AutoSave/Hint>>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo AutoSave/Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo AutoSave/Disabled/Description>> </$radio>\n"},"$:/core/ui/ControlPanel/Saving/GitHub":{"title":"$:/core/ui/ControlPanel/Saving/GitHub","tags":"$:/tags/ControlPanel/Saving","caption":"{{$:/language/ControlPanel/Saving/GitService/GitHub/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitHub\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitHub/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitHub/Password>> |<$password name=\"github\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitHub/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitHub/Branch\" default=\"main\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitHub/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitHub/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitHub/ServerURL\" default=\"https://api.github.com\" tag=\"input\"/> |"},"$:/core/ui/ControlPanel/Saving/GitLab":{"title":"$:/core/ui/ControlPanel/Saving/GitLab","tags":"$:/tags/ControlPanel/Saving","caption":"{{$:/language/ControlPanel/Saving/GitService/GitLab/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitLab\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitLab/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitLab/Password>> |<$password name=\"gitlab\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitLab/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitLab/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitLab/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitLab/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitLab/ServerURL\" default=\"https://gitlab.com/api/v4\" tag=\"input\"/> |"},"$:/core/ui/ControlPanel/Saving/TiddlySpot":{"title":"$:/core/ui/ControlPanel/Saving/TiddlySpot","tags":"$:/tags/ControlPanel/Saving","caption":"{{$:/language/ControlPanel/Saving/TiddlySpot/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Saving/TiddlySpot/\n\n\\define siteURL(path)\nhttp://$(userName)$.tiddlyspot.com/$path$/\n\\end\n\\define siteLink(path)\n\\whitespace trim\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<siteURL $path$>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}/>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n\n<div class=\"tc-message-box\">\n\n<<lingo ReadOnly>>\n\n</div>\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo Password>> |<$password name=\"upload\"/> |\n\n''<<lingo Advanced/Heading>>''\n\n|<<lingo ServerURL>>  |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>\n"},"$:/core/ui/ControlPanel/Saving/Gitea":{"title":"$:/core/ui/ControlPanel/Saving/Gitea","tags":"$:/tags/ControlPanel/Saving","caption":"{{$:/language/ControlPanel/Saving/GitService/Gitea/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~Gitea\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/Gitea/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo Gitea/Password>> |<$password name=\"Gitea\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/Gitea/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/Gitea/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/Gitea/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/Gitea/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/Gitea/ServerURL\" default=\"https://gitea/api/v1\" tag=\"input\"/> |\n"},"$:/core/ui/ControlPanel/Saving":{"title":"$:/core/ui/ControlPanel/Saving","tags":"$:/tags/ControlPanel","caption":"{{$:/language/ControlPanel/Saving/Caption}}","text":"\\whitespace trim\n{{$:/language/ControlPanel/Saving/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Saving]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Saving/General\" explicitState=\"$:/state/tab-2065006209\"/>\n</div>\n"},"$:/core/buttonstyles/Borderless":{"title":"$:/core/buttonstyles/Borderless","tags":"$:/tags/ToolbarButtonStyle","caption":"{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}","text":"tc-btn-invisible"},"$:/core/buttonstyles/Boxed":{"title":"$:/core/buttonstyles/Boxed","tags":"$:/tags/ToolbarButtonStyle","caption":"{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}","text":"tc-btn-boxed"},"$:/core/buttonstyles/Rounded":{"title":"$:/core/buttonstyles/Rounded","tags":"$:/tags/ToolbarButtonStyle","caption":"{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}","text":"tc-btn-rounded"},"$:/core/ui/ControlPanel/Settings/CamelCase":{"title":"$:/core/ui/ControlPanel/Settings/CamelCase","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/CamelCase/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"},"$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab":{"title":"$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab","caption":"{{$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption}}","tags":"$:/tags/ControlPanel/Settings","text":"\\define lingo-base() $:/language/ControlPanel/Settings/DefaultMoreSidebarTab/\n\\whitespace trim\n\n<$link to=\"$:/config/DefaultMoreSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultMoreSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"},"$:/core/ui/ControlPanel/Settings/DefaultSidebarTab":{"title":"$:/core/ui/ControlPanel/Settings/DefaultSidebarTab","caption":"{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}","tags":"$:/tags/ControlPanel/Settings","text":"\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\\whitespace trim\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"},"$:/core/ui/ControlPanel/Settings/EditorToolbar":{"title":"$:/core/ui/ControlPanel/Settings/EditorToolbar","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/EditorToolbar/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/EditorToolbar/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/TextEditor/EnableToolbar\"><<lingo Description>></$link> </$checkbox>\n\n"},"$:/core/ui/ControlPanel/Settings/InfoPanelMode":{"title":"$:/core/ui/ControlPanel/Settings/InfoPanelMode","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/InfoPanelMode/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/InfoPanelMode/\n<$link to=\"$:/config/TiddlerInfo/Mode\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"popup\"> <<lingo Popup/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"sticky\"> <<lingo Sticky/Description>> </$radio>\n"},"$:/core/ui/ControlPanel/Settings/LinkToBehaviour":{"title":"$:/core/ui/ControlPanel/Settings/LinkToBehaviour","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\\whitespace trim\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n  <option value=\"above\"><<lingo \"OpenAbove\">></option>\n  <option value=\"below\"><<lingo \"OpenBelow\">></option>\n  <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n  <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n  <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n  <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"},"$:/core/ui/ControlPanel/Settings/MissingLinks":{"title":"$:/core/ui/ControlPanel/Settings/MissingLinks","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/MissingLinks/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/MissingLinks/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/MissingLinks\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/MissingLinks\"><<lingo Description>></$link> </$checkbox>\n\n"},"$:/core/ui/ControlPanel/Settings/NavigationAddressBar":{"title":"$:/core/ui/ControlPanel/Settings/NavigationAddressBar","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"},"$:/core/ui/ControlPanel/Settings/NavigationHistory":{"title":"$:/core/ui/ControlPanel/Settings/NavigationHistory","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"},"$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode":{"title":"$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/NavigationPermalinkviewMode/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/CopyToClipboard\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/CopyToClipboard\"><<lingo CopyToClipboard/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\"><<lingo UpdateAddressBar/Description>></$link> </$checkbox>\n"},"$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation":{"title":"$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"},"$:/core/ui/ControlPanel/Settings/TitleLinks":{"title":"$:/core/ui/ControlPanel/Settings/TitleLinks","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"},"$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle":{"title":"$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n\\whitespace trim\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"},"$:/core/ui/ControlPanel/Settings/ToolbarButtons":{"title":"$:/core/ui/ControlPanel/Settings/ToolbarButtons","tags":"$:/tags/ControlPanel/Settings","caption":"{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"},"$:/core/ui/ControlPanel/Settings":{"title":"$:/core/ui/ControlPanel/Settings","tags":"$:/tags/ControlPanel","caption":"{{$:/language/ControlPanel/Settings/Caption}}","text":"<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/SettingsTab]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Settings/TiddlyWiki\" explicitState=\"$:/state/tab--697582678\"/>\n</div>"},"$:/core/ui/ControlPanel/StoryView":{"title":"$:/core/ui/ControlPanel/StoryView","tags":"$:/tags/ControlPanel/Appearance","caption":"{{$:/language/ControlPanel/StoryView/Caption}}","text":"{{$:/snippets/viewswitcher}}\n"},"$:/core/ui/ControlPanel/Stylesheets":{"title":"$:/core/ui/ControlPanel/Stylesheets","tags":"$:/tags/ControlPanel/Advanced","caption":"{{$:/language/ControlPanel/Stylesheets/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo Stylesheets/Hint>>\n\n{{$:/snippets/peek-stylesheets}}\n"},"$:/core/ui/ControlPanel/Theme":{"title":"$:/core/ui/ControlPanel/Theme","tags":"$:/tags/ControlPanel/Appearance","caption":"{{$:/language/ControlPanel/Theme/Caption}}","text":"{{$:/snippets/themeswitcher}}\n"},"$:/core/ui/ControlPanel/TiddlerFields":{"title":"$:/core/ui/ControlPanel/TiddlerFields","tags":"$:/tags/ControlPanel/Advanced","caption":"{{$:/language/ControlPanel/TiddlerFields/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"},"$:/core/ui/ControlPanel/Settings/TiddlyWiki":{"title":"$:/core/ui/ControlPanel/Settings/TiddlyWiki","tags":"$:/tags/ControlPanel/SettingsTab","caption":"TiddlyWiki","list-before":"","text":"\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"},"$:/core/ui/ControlPanel/Toolbars/EditToolbar":{"title":"$:/core/ui/ControlPanel/Toolbars/EditToolbar","tags":"$:/tags/ControlPanel/Toolbars","caption":"{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>"},"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate":{"title":"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate","text":"\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\\whitespace trim\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/>\n&#32;\n<span class=\"tc-icon-wrapper\"><$transclude tiddler={{!!icon}}/></span>\n&#32;\n<$transclude field=\"caption\"/>\n&#32;--&#32;\n<i class=\"tc-muted\"><$transclude field=\"description\"/></i>\n</$draggable>\n"},"$:/core/ui/ControlPanel/Toolbars/EditorToolbar":{"title":"$:/core/ui/ControlPanel/Toolbars/EditorToolbar","tags":"$:/tags/ControlPanel/Toolbars","caption":"{{$:/language/ControlPanel/Toolbars/EditorToolbar/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditorToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditorToolbar/Hint}}\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditorToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate\"/>\n"},"$:/core/ui/ControlPanel/Toolbars/ItemTemplate":{"title":"$:/core/ui/ControlPanel/Toolbars/ItemTemplate","text":"\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\\whitespace trim\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/>\n&#32;\n<span class=\"tc-icon-wrapper\">\n&#32;\n<$transclude field=\"caption\"/>\n&#32;\n<i class=\"tc-muted\">\n--&#32;\n<$transclude field=\"description\"/>\n</i></span>\n</$draggable>\n"},"$:/core/ui/ControlPanel/Toolbars/PageControls":{"title":"$:/core/ui/ControlPanel/Toolbars/PageControls","tags":"$:/tags/ControlPanel/Toolbars","caption":"{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/PageControlButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/PageControls\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"},"$:/core/ui/ControlPanel/Toolbars/ViewToolbar":{"title":"$:/core/ui/ControlPanel/Toolbars/ViewToolbar","tags":"$:/tags/ControlPanel/Toolbars","caption":"{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/ViewToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/ViewToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"},"$:/core/ui/ControlPanel/Toolbars":{"title":"$:/core/ui/ControlPanel/Toolbars","tags":"$:/tags/ControlPanel/Appearance","caption":"{{$:/language/ControlPanel/Toolbars/Caption}}","text":"\\whitespace trim\n{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" class=\"tc-vertical\" explicitState=\"$:/state/tabs/controlpanel/toolbars-1345989671\"/>\n</div>\n"},"$:/ControlPanel":{"title":"$:/ControlPanel","icon":"$:/core/images/options-button","color":"#bbb","text":"\\whitespace trim\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Info\" explicitState=\"$:/state/tab-1749438307\"/>\n</div>\n"},"$:/core/ui/DefaultSearchResultList":{"title":"$:/core/ui/DefaultSearchResultList","tags":"$:/tags/SearchResults","caption":"{{$:/language/Search/DefaultResults/Caption}}","first-search-filter":"[!is[system]search:title<userInput>sort[title]limit[250]]","second-search-filter":"[!is[system]search<userInput>sort[title]limit[250]]","text":"\\define searchResultList()\n\\whitespace trim\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[<userInput>minlength[1]]\" variable=\"ignore\">\n<$list filter={{{ [<configTiddler>get[first-search-filter]] }}}>\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[<searchListState>get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</$list>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[<userInput>minlength[1]]\" variable=\"ignore\">\n<$list filter={{{ [<configTiddler>get[second-search-filter]] }}}>\n<span class={{{[<currentTiddler>addsuffix[-secondaryList]] -[<searchListState>get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</$list>\n\n\\end\n<<searchResultList>>\n"},"$:/core/ui/DownloadFullWiki":{"title":"$:/core/ui/DownloadFullWiki","text":"\\whitespace trim\n\\rules except wikilink\n\nTo download the standard single-file version of your wiki:\n\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$let publishFilter=\"\"\"-[[$:/config/SaveWikiButton/Template]] -[[$:/plugins/tiddlywiki/filesystem]] -[[$:/plugins/tiddlywiki/tiddlyweb]]\"\"\">\n<$button tooltip=\"Download fully standalone wiki\" aria-label=\"download full wiki\" class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" publishFilter=<<publishFilter>> filename=<<site-title>>/>\n{{$:/core/images/download-button}}\n<span class=\"tc-tiny-gap-left\">\nDownload full wiki\n</span>\n</$button>\n</$let>\n</$wikify>"},"$:/core/ui/EditTemplate/body/preview/diffs-current":{"title":"$:/core/ui/EditTemplate/body/preview/diffs-current","tags":"$:/tags/EditPreview","caption":"{{$:/language/EditTemplate/Body/Preview/Type/DiffCurrent}}","list-after":"$:/core/ui/EditTemplate/body/preview/output","text":"<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"},"$:/core/ui/EditTemplate/body/preview/diffs-shadow":{"title":"$:/core/ui/EditTemplate/body/preview/diffs-shadow","tags":"$:/tags/EditPreview","caption":"{{$:/language/EditTemplate/Body/Preview/Type/DiffShadow}}","list-after":"$:/core/ui/EditTemplate/body/preview/output","text":"<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{{ [{!!draft.of}shadowsource[]] }}} sourceSubTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"},"$:/core/ui/EditTemplate/body/preview/output":{"title":"$:/core/ui/EditTemplate/body/preview/output","tags":"$:/tags/EditPreview","caption":"{{$:/language/EditTemplate/Body/Preview/Type/Output}}","text":"\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!is[draft]] [all[shadows+tiddlers]tag[$:/tags/Macro/View/Body]!is[draft]] [all[shadows+tiddlers]tag[$:/tags/Global/View]!is[draft]] [all[shadows+tiddlers]tag[$:/tags/Global/View/Body]!is[draft]]\n<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude tiddler={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/ViewTemplateBodyFilter]!is[draft]get[text]] :and[!is[blank]else[$:/core/ui/ViewTemplate/body/default]] }}} />\n\n</$set>\n"},"$:/state/showeditpreview":{"title":"$:/state/showeditpreview","text":"no"},"$:/core/ui/EditTemplate/body/canonical-uri":{"title":"$:/core/ui/EditTemplate/body/canonical-uri","text":"\\define lingo-base() $:/language/EditTemplate/Body/\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\" tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"></$edit-text>\n\n</div>\n"},"$:/core/ui/EditTemplate/body/default":{"title":"$:/core/ui/EditTemplate/body/default","text":"\\define config-visibility-title()\n$:/config/EditorToolbarButtons/Visibility/$(currentTiddler)$\n\\end\n\n\\define importFileActions()\n<$action-popup $state=<<importState>> $coords=\"(0,0,0,0)\" $floating=\"yes\"/>\n\\end\n\n\\whitespace trim\n<$let\n\teditPreviewStateTiddler={{{ [{$:/config/ShowEditPreview/PerTiddler}!match[yes]then[$:/state/showeditpreview]] :else[<qualify \"$:/state/showeditpreview\">] }}}\n\timportTitle=<<qualify $:/ImportImage>>\n\timportState=<<qualify $:/state/ImportImage>> >\n<$dropzone importTitle=<<importTitle>> autoOpenOnImport=\"no\" contentTypesFilter={{$:/config/Editor/ImportContentTypesFilter}} class=\"tc-dropzone-editor\" enable={{{ [{$:/config/DragAndDrop/Enable}match[no]] :else[subfilter{$:/config/Editor/EnableImportFilter}then[yes]else[no]] }}} filesOnly=\"yes\" actions=<<importFileActions>> >\n<div>\n<div class={{{ [<editPreviewStateTiddler>get[text]match[yes]then[tc-tiddler-preview]else[tc-tiddler-preview-hidden]] [[tc-tiddler-editor]] +[join[ ]] }}}>\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n<$list filter=\"[<editPreviewStateTiddler>get[text]match[yes]]\" variable=\"ignore\">\n\n<div class=\"tc-tiddler-preview-preview\" data-tiddler-title={{!!draft.title}} data-tags={{!!tags}}>\n\n<$transclude tiddler={{$:/state/editpreviewtype}} mode=\"inline\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/preview/output\" mode=\"inline\"/>\n\n</$transclude>\n\n</div>\n\n</$list>\n\n</div>\n\n</div>\n\n</$dropzone>\n\n</$let>\n"},"$:/core/ui/EditTemplate/body/editor":{"title":"$:/core/ui/EditTemplate/body/editor","text":"\\whitespace trim\n\n<$edit\n\n  field=\"text\"\n  class=\"tc-edit-texteditor tc-edit-texteditor-body\"\n  placeholder={{$:/language/EditTemplate/Body/Placeholder}}\n  tabindex={{$:/config/EditTabIndex}}\n  focus={{{ [{$:/config/AutoFocus}match[text]then[true]] ~[[false]] }}}\n  cancelPopups=\"yes\"\n  fileDrop={{{ [{$:/config/DragAndDrop/Enable}match[no]] :else[subfilter{$:/config/Editor/EnableImportFilter}then[yes]else[no]] }}}\n\n><$set\n\n  name=\"targetTiddler\"\n  value=<<currentTiddler>>\n\n><$list\n\n  filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]]\"\n\n><$reveal\n\n  type=\"nomatch\"\n  state=<<config-visibility-title>>\n  text=\"hide\"\n  class=\"tc-text-editor-toolbar-item-wrapper\"\n\n><$transclude\n\n  tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\"\n  mode=\"inline\"\n\n/></$reveal></$list><$list\n\n  filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorTools]!has[draft.of]]\"\n\n><$list\n\tfilter={{!!condition}}\n\tvariable=\"list-condition\"\n><$transclude/>\n</$list></$list></$set></$edit>\n"},"$:/core/ui/EditTemplate/body/toolbar/button":{"title":"$:/core/ui/EditTemplate/body/toolbar/button","text":"\\define toolbar-button-icon()\n<$list\n\n  filter=\"[all[current]!has[custom-icon]]\"\n  variable=\"no-custom-icon\"\n\n><$transclude\n\n  tiddler={{!!icon}}\n\n/></$list>\n\\end\n\n\\define toolbar-button-tooltip()\n{{!!description}}<$macrocall $name=\"displayshortcuts\" $output=\"text/plain\" shortcuts={{!!shortcuts}} prefix=\"` - [\" separator=\"] [\" suffix=\"]`\"/>\n\\end\n\n\\define toolbar-button()\n<$list\n\n  filter={{!!condition}}\n  variable=\"list-condition\"\n\n><$wikify\n\n  name=\"tooltip-text\"\n  text=<<toolbar-button-tooltip>>\n  mode=\"inline\"\n  output=\"text\"\n\n><$list\n\n  filter=\"[all[current]!has[dropdown]]\"\n  variable=\"no-dropdown\"\n\n><$set name=disabled filter={{!!condition-disabled}}><$button\n\n  class=\"tc-btn-invisible $(buttonClasses)$\"\n  tooltip=<<tooltip-text>>\n  actions={{!!actions}}\n  disabled=<<disabled>>\n\n><span\n\n  data-tw-keyboard-shortcut={{{ [<disabled>match[yes]then[]else{!!shortcuts}] }}}\n\n/><<toolbar-button-icon>><$transclude\n\n  tiddler=<<currentTiddler>>\n  field=\"text\"\n\n/></$button></$set></$list><$list\n\n  filter=\"[all[current]has[dropdown]]\"\n  variable=\"dropdown\"\n\n><$set\n\n  name=\"dropdown-state\"\n  value=<<qualify \"$:/state/EditorToolbarDropdown\">>\n\n><$set name=disabled filter={{!!condition-disabled}}><$button\n\n  popup=<<dropdown-state>>\n  class=\"tc-popup-keep tc-btn-invisible $(buttonClasses)$\"\n  selectedClass=\"tc-selected\"\n  tooltip=<<tooltip-text>>\n  actions={{!!actions}}\n  disabled=<<disabled>>\n\n><span\n\n  data-tw-keyboard-shortcut={{{ [<disabled>match[yes]then[]else{!!shortcuts}] }}}\n\n/><<toolbar-button-icon>><$transclude\n\n  tiddler=<<currentTiddler>>\n  field=\"text\"\n\n/></$button></$set><$reveal\n\n  state=<<dropdown-state>>\n  type=\"popup\"\n  position=\"below\"\n  animate=\"yes\"\n  tag=\"span\"\n\n><div\n\n  class=\"tc-drop-down tc-popup-keep\"\n\n><$transclude\n\n  tiddler={{!!dropdown}}\n  mode=\"block\"\n\n/></div></$reveal></$set></$list></$wikify></$list>\n\\end\n\n\\define toolbar-button-outer()\n<$set\n\n  name=\"buttonClasses\"\n  value={{!!button-classes}}\n\n><<toolbar-button>></$set>\n\\end\n\n<<toolbar-button-outer>>"},"$:/core/ui/EditTemplate/body":{"title":"$:/core/ui/EditTemplate/body","tags":"$:/tags/EditTemplate","text":"<$transclude tiddler={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/EditTemplateBodyFilter]!is[draft]get[text]] :and[!is[blank]else[$:/core/ui/EditTemplate/body/default]] }}} />\n"},"$:/core/ui/EditTemplate/controls":{"title":"$:/core/ui/EditTemplate/controls","tags":"$:/tags/EditTemplate","text":"\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n\\whitespace trim\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$let tv-config-toolbar-class={{{ [enlist<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]] +[join[ ]]}}}><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$let></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"},"$:/core/ui/EditTemplate/fieldEditor/default":{"title":"$:/core/ui/EditTemplate/fieldEditor/default","text":"<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> tag=\"input\" default=\"\" class=\"tc-edit-texteditor tc-edit-fieldeditor\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"/>"},"$:/core/ui/EditTemplate/fields":{"title":"$:/core/ui/EditTemplate/fields","tags":"$:/tags/EditTemplate","text":"\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n<!-- Beware this is duplicated from EditTemplate.tid. For details see bug #7054 -->\n\\define get-field-value-tiddler-filter() [subfilter<get-field-editor-filter>sha256[16]addprefix[/]addprefix<newFieldValueTiddlerPrefix>]\n\\define get-field-editor-filter() [<newFieldNameTiddler>get[text]else[]] :cascade[all[shadows+tiddlers]tag[$:/tags/FieldEditorFilter]!is[draft]get[text]] :and[!is[blank]else{$:/core/ui/EditTemplate/fieldEditor/default}]\n\n\\define current-tiddler-new-field-selector()\n[data-tiddler-title=\"$(currentTiddlerCSSescaped)$\"] .tc-edit-field-add-name-wrapper input\n\\end\n\n\\define new-field-actions()\n\\whitespace trim\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldNameTiddler>get[text]] :map[subfilter<get-field-value-tiddler-filter>get[text]] }}}/>\n<$set name=\"safeNewFieldValueTiddlerPrefix\" value=<<newFieldValueTiddlerPrefix>> emptyValue=<<qualify \"$:/temp/NewFieldValue\">> >\n\t<$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [prefix[$:/temp/NewFieldValue]prefix<safeNewFieldValueTiddlerPrefix>] [<storeTitle>] [<searchListState>]\"/>\n</$set>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/>\n\\end\n\n\\define delete-state-tiddlers() <$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<storeTitle>] [<searchListState>]\"/>\n\n\\define cancel-search-actions-inner()\n\\whitespace trim\n<$list\n\tfilter=\"[<storeTitle>has[text]] [<newFieldNameTiddler>has[text]]\"\n\tvariable=\"ignore\"\n\temptyMessage=\"<<cancel-delete-tiddler-actions 'cancel'>>\">\n<<delete-state-tiddlers>>\n</$list>\n\\end\n\n\\define cancel-search-actions()\n\\whitespace trim\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n<$list\n\tfilter=\"[<newFieldNameTiddler>get[text]!match<userInput>]\"\n\temptyMessage=\"<<cancel-search-actions-inner>>\">\n<$action-setfield $tiddler=<<newFieldNameTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n</$list>\n</$set>\n\\end\n\n\\define new-field()\n\\whitespace trim\n<$vars name={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button tooltip={{$:/language/EditTemplate/Fields/Add/Button/Hint}}>\n<$action-sendmessage $message=\"tm-add-field\"\n$name=<<name>>\n$value={{{ [subfilter<get-field-value-tiddler-filter>get[text]] }}}/>\n<$set name=\"safeNewFieldValueTiddlerPrefix\" value=<<newFieldValueTiddlerPrefix>> emptyValue=<<qualify \"$:/temp/NewFieldValue\">> >\n\t<$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [prefix[$:/temp/NewFieldValue]prefix<safeNewFieldValueTiddlerPrefix>] [<storeTitle>] [<searchListState>]\"/>\n</$set>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n</$vars>\n\\end\n\\whitespace trim\n\n<$set name=\"newFieldValueTiddlerPrefix\" value=<<newFieldValueTiddlerPrefix>> emptyValue=<<qualify \"$:/temp/NewFieldValue\">> >\n<div class=\"tc-edit-fields\">\n<table class={{{ [all[current]fields[]] :filter[lookup[$:/config/EditTemplateFields/Visibility/]!match[hide]] +[count[]!match[0]] +[then[tc-edit-fields]] ~[[tc-edit-fields tc-edit-fields-small]] }}}>\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\" storyview=\"pop\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$keyboard key=\"((delete-field))\" actions=\"\"\"<$action-deletefield $field=<<currentField>>/><$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}><$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/></$set>\"\"\">\n<$transclude tiddler={{{ [<currentField>] :cascade[all[shadows+tiddlers]tag[$:/tags/FieldEditorFilter]!is[draft]get[text]] :and[!is[blank]else{$:/core/ui/EditTemplate/fieldEditor/default}] }}} />\n</$keyboard>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit tc-small-gap-right\">\n<<lingo Fields/Add/Prompt>>\n</em>\n<$vars refreshTitle=<<qualify \"$:/temp/fieldname/refresh\">> storeTitle=<<newFieldNameInputTiddler>> searchListState=<<newFieldNameSelectionTiddler>>>\n<div class=\"tc-edit-field-add-name-wrapper\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<newFieldNameTiddler>> storeTitle=<<storeTitle>> refreshTitle=<<refreshTitle>>\n\t\tselectionStateTitle=<<searchListState>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}}\n\t\tfocusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}}\n\t\tfocus={{{ [{$:/config/AutoFocus}match[fields]then[true]] ~[[false]] }}} cancelPopups=\"yes\"\n\t\tconfigTiddlerFilter=\"[[$:/config/EditMode/fieldname-filter]]\" inputCancelActions=<<cancel-search-actions>> />\n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown tc-small-gap\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=<<newFieldNameTiddler>>>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$set name=\"newFieldName\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title<newFieldName>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\"  variable=\"currentField\">\n<$list filter=\"[<currentField>addsuffix[-primaryList]] -[<searchListState>get[text]]\" emptyMessage=\"\"\"<$link to=<<currentField>> class=\"tc-list-item-selected\"><$text text=<<currentField>>/></$link>\"\"\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title<newFieldName>sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$list filter=\"[<currentField>addsuffix[-secondaryList]] -[<searchListState>get[text]]\" emptyMessage=\"\"\"<$link to=<<currentField>> class=\"tc-list-item-selected\"><$text text=<<currentField>>/></$link>\"\"\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$list>\n</$set>\n</$linkcatcher>\n</$set>\n</div>\n</$reveal>\n</div>\n<$let currentTiddlerCSSescaped={{{ [<currentTiddler>escapecss[]] }}} currentTiddler={{{ [subfilter<get-field-value-tiddler-filter>] }}} currentField=\"text\" currentFieldName={{{ [<newFieldNameTiddler>get[text]] }}}>\n<span class=\"tc-edit-field-add-value tc-small-gap-right\">\n<$keyboard key=\"((add-field))\" actions=<<new-field-actions>>>\n<$transclude tiddler={{{ [subfilter<get-field-editor-filter>] }}} />\n</$keyboard>\n</span>\n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</$let>\n</$vars>\n</div>\n</$fieldmangler>\n</$set>"},"$:/core/ui/EditTemplate/shadow":{"title":"$:/core/ui/EditTemplate/shadow","tags":"$:/tags/EditTemplate","text":"\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n\\whitespace trim\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n\\whitespace trim\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"},"$:/core/ui/EditTemplate/tags":{"title":"$:/core/ui/EditTemplate/tags","tags":"$:/tags/EditTemplate","text":"\\whitespace trim\n\n\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon,tagField:\"tags\")\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item tc-small-gap-right\" data-tag-title=<<currentTiddler>>>\n<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view field=\"title\" format=\"text\"/>\n<$button class=\"tc-btn-invisible tc-remove-tag-button\" style=<<tag-styles>>><$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"-[{!!title}]\"/>{{$:/core/images/close-button}}</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon,tagField:\"tags\")\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\" tagField=<<__tagField__>>/>\n\\end\n\n\\define edit-tags-template(tagField:\"tags\")\n\\whitespace trim\n<div class=\"tc-edit-tags\">\n<$list filter=\"[list[!!$tagField$]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerColourFilter]!is[draft]get[text]] }}} palette={{$:/palette}} icon={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerIconFilter]!is[draft]get[text]] }}} tagField=<<__tagField__>>/>\n</$list>\n<$vars tabIndex={{$:/config/EditTabIndex}} cancelPopups=\"yes\">\n<$macrocall $name=\"tag-picker\" tagField=<<__tagField__>>/>\n</$vars>\n</div>\n\\end\n<$set name=\"saveTiddler\" value=<<currentTiddler>>>\n<$macrocall $name=\"edit-tags-template\" tagField=<<tagField>>/>\n</$set>\n"},"$:/core/ui/EditTemplate/title":{"title":"$:/core/ui/EditTemplate/title","tags":"$:/tags/EditTemplate","text":"\\whitespace trim\n<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus={{{ [{$:/config/AutoFocus}match[title]then[true]] ~[[false]] }}} tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"/>\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}}&#32;{{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}}&#32;{{$:/language/EditTemplate/Title/Exists/Prompt}}:&#32;<$link to={{!!draft.title}} />\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\">&#32;{{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$list filter=\"[title<fromTitle>backlinks[]limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n&#32;\n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n&#32;\n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$tiddler tiddler=<<fromTitle>> >\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo/References\"/>\n</$tiddler>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"},"$:/core/ui/EditTemplate/type":{"title":"$:/core/ui/EditTemplate/type","tags":"$:/tags/EditTemplate","first-search-filter":"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]sort[description]sort[group-sort]removeprefix[$:/language/Docs/Types/]search<userInput>]","text":"\\define lingo-base() $:/language/EditTemplate/\n\\define input-cancel-actions() <$list filter=\"[<storeTitle>get[text]] [<currentTiddler>get[type]] +[limit[1]]\" emptyMessage=\"\"\"<<cancel-delete-tiddler-actions \"cancel\">>\"\"\"><$action-sendmessage $message=\"tm-remove-field\" $param=\"type\"/><$action-deletetiddler $filter=\"[<typeInputTiddler>] [<refreshTitle>] [<typeSelectionTiddler>]\"/></$list>\n\\whitespace trim\n<$set name=\"refreshTitle\" value=<<qualify \"$:/temp/type-search/refresh\">>>\n<div class=\"tc-edit-type-selector-wrapper\">\n<em class=\"tc-edit tc-small-gap-right\"><<lingo Type/Prompt>></em>\n<div class=\"tc-type-selector-dropdown-wrapper\">\n<div class=\"tc-type-selector\"><$fieldmangler>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<currentTiddler>> storeTitle=<<typeInputTiddler>> refreshTitle=<<refreshTitle>> selectionStateTitle=<<typeSelectionTiddler>> field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[type]then[true]] ~[[false]] }}} cancelPopups=\"yes\" configTiddlerFilter=\"[[$:/core/ui/EditTemplate/type]]\" inputCancelActions=<<input-cancel-actions>>/><$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown tc-small-gap\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button><$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}<$action-deletetiddler $filter=\"[<typeInputTiddler>] [<storeTitle>] [<refreshTitle>] [<selectionStateTitle>]\"/></$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group-sort]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$set name=\"userInput\" value={{{ [<typeInputTiddler>get[text]] }}}>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]] +[removeprefix[$:/language/Docs/Types/]] +[search<userInput>]\"><span class={{{ [<currentTiddler>addsuffix[-primaryList]] -[<typeSelectionTiddler>get[text]] +[then[]else[tc-list-item-selected]] }}}><$link to={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]get[name]] }}}><$view tiddler={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]] }}} field=\"description\"/><$text text=\" \"/>(<$view tiddler={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]] }}} field=\"name\"/>)</$link></span>\n</$list>\n</$set>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</$set>\n</div>\n</div>\n</div>\n</$set>\n"},"$:/core/ui/EditTemplate":{"title":"$:/core/ui/EditTemplate","code-body":"yes","text":"\\define delete-edittemplate-state-tiddlers()\n<$set name=\"safeNewFieldValueTiddlerPrefix\" value=<<newFieldValueTiddlerPrefix>> emptyValue=<<qualify \"$:/temp/NewFieldValue\">> >\n\t<$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [prefix[$:/temp/NewFieldValue]prefix<safeNewFieldValueTiddlerPrefix>] [<newFieldNameInputTiddler>] [<newFieldNameSelectionTiddler>] [<newTagNameTiddler>] [<newTagNameInputTiddler>] [<newTagNameSelectionTiddler>] [<typeInputTiddler>] [<typeSelectionTiddler>]\"/>\n</$set>\n\\end\n\n<!-- Beware this is duplicated from fields.tid. For details see bug #7054 -->\n\\define get-field-value-tiddler-filter() [subfilter<get-field-editor-filter>sha256[16]addprefix[/]addprefix<newFieldValueTiddlerPrefix>]\n\\define get-field-editor-filter() [<newFieldNameTiddler>get[text]else[]] :cascade[all[shadows+tiddlers]tag[$:/tags/FieldEditorFilter]!is[draft]get[text]] :and[!is[blank]else{$:/core/ui/EditTemplate/fieldEditor/default}]\n\n\\define save-tiddler-actions()\n\\whitespace trim\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldNameTiddler>get[text]] :map[subfilter<get-field-value-tiddler-filter>get[text]] }}}/>\n<<delete-edittemplate-state-tiddlers>>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n\n\\define cancel-delete-tiddler-actions(message)\n\\whitespace trim\n<<delete-edittemplate-state-tiddlers>>\n<$action-sendmessage $message=\"tm-$message$-tiddler\"/>\n\\end\n\n\\whitespace trim\n<div\n\tdata-tiddler-title=<<currentTiddler>>\n\tdata-tags={{!!tags}}\n\tclass={{{ [all[shadows+tiddlers]tag[$:/tags/ClassFilters/TiddlerTemplate]!is[draft]] :map:flat[subfilter{!!text}] tc-tiddler-frame tc-tiddler-edit-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}\n\trole=\"region\"\n\taria-label={{$:/language/EditTemplate/Caption}}>\n<$fieldmangler>\n<$vars\n\tstoryTiddler=<<currentTiddler>>\n\tnewTagNameTiddler=<<qualify \"$:/temp/NewTagName\">>\n\tnewFieldNameTiddler=<<qualify \"$:/temp/NewFieldName\">>\n\tnewFieldValueTiddlerPrefix=<<qualify \"$:/temp/NewFieldValue\">>\n\tnewFieldNameInputTiddler=<<qualify \"$:/temp/NewFieldName/input\">>\n\tnewFieldNameSelectionTiddler=<<qualify \"$:/temp/NewFieldName/selected-item\">>\n\tnewTagNameInputTiddler=<<qualify \"$:/temp/NewTagName/input\">>\n\tnewTagNameSelectionTiddler=<<qualify \"$:/temp/NewTagName/selected-item\">>\n\ttypeInputTiddler=<<qualify \"$:/temp/Type/input\">>\n\ttypeSelectionTiddler=<<qualify \"$:/temp/Type/selected-item\">>>\n<$keyboard key=\"((cancel-edit-tiddler))\" actions=<<cancel-delete-tiddler-actions \"cancel\">> tag=\"div\">\n<$keyboard key=\"((save-tiddler))\" actions=<<save-tiddler-actions>> tag=\"div\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n</$list>\n</$keyboard>\n</$keyboard>\n</$vars>\n</$fieldmangler>\n</div>\n"},"$:/core/ui/Buttons/cancel":{"title":"$:/core/ui/Buttons/cancel","tags":"$:/tags/EditToolbar","caption":"{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}","description":"{{$:/language/Buttons/Cancel/Hint}}","text":"\\whitespace trim\n<$button actions=<<cancel-delete-tiddler-actions \"cancel\">> tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>\n"},"$:/core/ui/Buttons/delete":{"title":"$:/core/ui/Buttons/delete","tags":"$:/tags/EditToolbar $:/tags/ViewToolbar","caption":"{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}","description":"{{$:/language/Buttons/Delete/Hint}}","text":"\\whitespace trim\n<$button actions=<<cancel-delete-tiddler-actions \"delete\">> tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>\n"},"$:/core/ui/Buttons/save":{"title":"$:/core/ui/Buttons/save","tags":"$:/tags/EditToolbar","caption":"{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}","description":"{{$:/language/Buttons/Save/Hint}}","text":"\\whitespace trim\n\\define save-tiddler-button()\n\\whitespace trim\n<$fieldmangler>\n\t<$button\n\t\ttooltip={{$:/language/Buttons/Save/Hint}}\n\t\taria-label={{$:/language/Buttons/Save/Caption}}\n\t\tclass=<<tv-config-toolbar-class>>\n\t>\n\t\t<<save-tiddler-actions>>\n\t\t<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n\t\t\t{{$:/core/images/done-button}}\n\t\t</$list>\n\t\t<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n\t\t\t<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n\t\t</$list>\n\t</$button>\n</$fieldmangler>\n\\end\n<<save-tiddler-button>>\n"},"$:/core/ui/EditorToolbar/bold":{"title":"$:/core/ui/EditorToolbar/bold","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/bold","caption":"{{$:/language/Buttons/Bold/Caption}}","description":"{{$:/language/Buttons/Bold/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((bold))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"''\"\n\tsuffix=\"''\"\n/>\n"},"$:/core/ui/EditorToolbar/clear-dropdown":{"title":"$:/core/ui/EditorToolbar/clear-dropdown","text":"''{{$:/language/Buttons/Clear/Hint}}''\n\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"clear\"\n\tcolour=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n\n</div>\n"},"$:/core/ui/EditorToolbar/clear":{"title":"$:/core/ui/EditorToolbar/clear","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/erase","caption":"{{$:/language/Buttons/Clear/Caption}}","description":"{{$:/language/Buttons/Clear/Hint}}","condition":"[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]","dropdown":"$:/core/ui/EditorToolbar/clear-dropdown","text":""},"$:/core/ui/EditorToolbar/editor-height-dropdown":{"title":"$:/core/ui/EditorToolbar/editor-height-dropdown","text":"\\define lingo-base() $:/language/Buttons/EditorHeight/\n''<<lingo Hint>>''\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"auto\"> {{$:/core/images/auto-height}} <<lingo Caption/Auto>></$radio>\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"fixed\"> {{$:/core/images/fixed-height}} <<lingo Caption/Fixed>> <$edit-text tag=\"input\" tiddler=\"$:/config/TextEditor/EditorHeight/Height\" default=\"100px\"/></$radio>\n"},"$:/core/ui/EditorToolbar/editor-height":{"title":"$:/core/ui/EditorToolbar/editor-height","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/fixed-height","custom-icon":"yes","caption":"{{$:/language/Buttons/EditorHeight/Caption}}","description":"{{$:/language/Buttons/EditorHeight/Hint}}","condition":"[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] [<targetTiddler>get[type]match[application/javascript]] [<targetTiddler>get[type]match[application/json]] [<targetTiddler>get[type]match[application/x-tiddler-dictionary]] [<targetTiddler>get[type]match[image/svg+xml]] +[first[]]","dropdown":"$:/core/ui/EditorToolbar/editor-height-dropdown","text":"\\whitespace trim\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n{{$:/core/images/fixed-height}}\n</$reveal>\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n{{$:/core/images/auto-height}}\n</$reveal>\n"},"$:/core/ui/EditorToolbar/excise-dropdown":{"title":"$:/core/ui/EditorToolbar/excise-dropdown","text":"\\define lingo-base() $:/language/Buttons/Excise/\n\n\\define body(config-title)\n\\whitespace trim\n''<<lingo Hint>>''\n\n<<lingo Caption/NewTitle>>&#32;<$edit-text tag=\"input\" tiddler=\"$config-title$/new-title\" default=\"\" focus=\"true\"/>\n\n<$set name=\"new-title\" value={{$config-title$/new-title}}>\n<$list filter=\"\"\"[<new-title>is[tiddler]]\"\"\">\n<div class=\"tc-error\">\n<<lingo Caption/TiddlerExists>>\n</div>\n</$list>\n</$set>\n\n<$checkbox tiddler=\"\"\"$config-title$/tagnew\"\"\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"false\">&#32;<<lingo Caption/Tag>></$checkbox>\n\n<<lingo Caption/Replace>>&#32;<$select tiddler=\"\"\"$config-title$/type\"\"\" default=\"transclude\">\n<option value=\"link\"><<lingo Caption/Replace/Link>></option>\n<option value=\"transclude\"><<lingo Caption/Replace/Transclusion>></option>\n<option value=\"macro\"><<lingo Caption/Replace/Macro>></option>\n</$select>\n\n<$reveal state=\"\"\"$config-title$/type\"\"\" type=\"match\" text=\"macro\">\n<<lingo Caption/MacroName>>&#32;<$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/macro-title\"\"\" default=\"translink\"/>\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"excise\"\n\ttitle={{$config-title$/new-title}}\n\ttype={{$config-title$/type}}\n\tmacro={{$config-title$/macro-title}}\n\ttagnew={{$config-title$/tagnew}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"$config-title$/new-title\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Excise>>\n</$button>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Excise/\">>/>\n"},"$:/core/ui/EditorToolbar/excise":{"title":"$:/core/ui/EditorToolbar/excise","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/excise","caption":"{{$:/language/Buttons/Excise/Caption}}","description":"{{$:/language/Buttons/Excise/Hint}}","condition":"[<targetTiddler>type[]] [<targetTiddler>type[text/vnd.tiddlywiki]] +[first[]]","shortcuts":"((excise))","dropdown":"$:/core/ui/EditorToolbar/excise-dropdown","text":""},"$:/core/ui/EditorToolbar/file-import":{"title":"$:/core/ui/EditorToolbar/file-import","tags":"$:/tags/EditorTools","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","text":"\\define lingo-base() $:/language/Import/\n\n\\define closePopupActions()\n<$action-deletetiddler $filter=\"[title<importState>] [title<importTitle>]\"/>\n\\end\n\n\\define replacement-text-image() [img[$title$]]\n\n\\define replacement-text-file() [[$title$]]\n\n\\define postImportActions()\n\\whitespace trim\n<$list filter=\"[<importTitle>links[]] :reduce[get[type]prefix[image]then<replacement-text-image>else<replacement-text-file>search-replace[$title$],<currentTiddler>addprefix<accumulator>]\" variable=\"imageTitle\">\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"insert-text\"\n\ttext=<<imageTitle>>\n/>\n</$list>\n<<closePopupActions>>\n\\end\n\n\\define buttons()\n\\whitespace trim\n<$button class=\"tc-btn-invisible\" actions=<<closePopupActions>> ><<lingo Listing/Cancel/Caption>></$button>\n&#32;\n<$button class=\"tc-btn-invisible\" message=\"tm-perform-import\" param=<<importTitle>> actions=<<postImportActions>> ><<lingo Listing/Import/Caption>></$button>\n\\end\n\n\\whitespace trim\n<$reveal type=\"popup\" state=<<importState>> tag=\"div\" class=\"tc-editor-importpopup\">\n<div class=\"tc-editor-import\">\n<$list filter=\"[<importTitle>field:plugin-type[import]]\">\n<h2><<lingo Editor/Import/Heading>></h2>\n<$tiddler tiddler=<<importTitle>>>\n{{||$:/core/ui/ImportListing}}\n<<buttons>>\n</$tiddler>\n</$list>\n</div>\n</$reveal>\n"},"$:/core/ui/EditorToolbar/heading-1":{"title":"$:/core/ui/EditorToolbar/heading-1","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/heading-1","caption":"{{$:/language/Buttons/Heading1/Caption}}","description":"{{$:/language/Buttons/Heading1/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","button-classes":"tc-text-editor-toolbar-item-start-group","shortcuts":"((heading-1))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"1\"\n/>\n"},"$:/core/ui/EditorToolbar/heading-2":{"title":"$:/core/ui/EditorToolbar/heading-2","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/heading-2","caption":"{{$:/language/Buttons/Heading2/Caption}}","description":"{{$:/language/Buttons/Heading2/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((heading-2))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"2\"\n/>\n"},"$:/core/ui/EditorToolbar/heading-3":{"title":"$:/core/ui/EditorToolbar/heading-3","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/heading-3","caption":"{{$:/language/Buttons/Heading3/Caption}}","description":"{{$:/language/Buttons/Heading3/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((heading-3))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"3\"\n/>\n"},"$:/core/ui/EditorToolbar/heading-4":{"title":"$:/core/ui/EditorToolbar/heading-4","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/heading-4","caption":"{{$:/language/Buttons/Heading4/Caption}}","description":"{{$:/language/Buttons/Heading4/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((heading-4))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"4\"\n/>\n"},"$:/core/ui/EditorToolbar/heading-5":{"title":"$:/core/ui/EditorToolbar/heading-5","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/heading-5","caption":"{{$:/language/Buttons/Heading5/Caption}}","description":"{{$:/language/Buttons/Heading5/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((heading-5))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"5\"\n/>\n"},"$:/core/ui/EditorToolbar/heading-6":{"title":"$:/core/ui/EditorToolbar/heading-6","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/heading-6","caption":"{{$:/language/Buttons/Heading6/Caption}}","description":"{{$:/language/Buttons/Heading6/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((heading-6))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"6\"\n/>\n"},"$:/core/ui/EditorToolbar/italic":{"title":"$:/core/ui/EditorToolbar/italic","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/italic","caption":"{{$:/language/Buttons/Italic/Caption}}","description":"{{$:/language/Buttons/Italic/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((italic))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"//\"\n\tsuffix=\"//\"\n/>\n"},"$:/core/ui/EditorToolbar/line-width-dropdown":{"title":"$:/core/ui/EditorToolbar/line-width-dropdown","text":"\\define lingo-base() $:/language/Buttons/LineWidth/\n\n\\define toolbar-line-width-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(line-width)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/LineWidth\"\n\t$value=\"$(line-width)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; margin: 4px calc(80px - $(line-width)$); background-color: #000; width: calc(100px + $(line-width)$ * 2); height: $(line-width)$; border-radius: 120px; vertical-align: middle;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(line-width)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/LineWidth\" type=\"match\" text=\"\"\"$(line-width)$\"\"\" tag=\"span\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/LineWidths}} variable=\"line-width\">\n\n<<toolbar-line-width-inner>>\n\n</$list>\n"},"$:/core/ui/EditorToolbar/line-width":{"title":"$:/core/ui/EditorToolbar/line-width","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/line-width","caption":"{{$:/language/Buttons/LineWidth/Caption}}","description":"{{$:/language/Buttons/LineWidth/Hint}}","condition":"[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]","dropdown":"$:/core/ui/EditorToolbar/line-width-dropdown","text":"<$text text={{$:/config/BitmapEditor/LineWidth}}/>\n"},"$:/core/ui/EditorToolbar/link-dropdown":{"title":"$:/core/ui/EditorToolbar/link-dropdown","text":"\\define lingo-base() $:/language/Buttons/Link/\n\n\\define add-link-actions()\n\\whitespace trim\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"make-link\" text={{$(linkTiddler)$}} />\n<$action-deletetiddler $filter=\"[<dropdown-state>] [<searchTiddler>] [<linkTiddler>] [<storeTitle>] [<searchListState>]\"/>\n\\end\n\n\\define get-focus-selector() [data-tiddler-title=\"$(cssEscapedTitle)$\"] .tc-create-wikitext-link input\n\n\\define cancel-search-actions-inner()\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}><$list filter=\"[<searchTiddler>get[text]!match<userInput>]\" emptyMessage=\"<$action-deletetiddler $filter='[<searchTiddler>] [<linkTiddler>] [<storeTitle>] [<searchListState>]'/>\"><$action-setfield $tiddler=<<searchTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/></$list></$set>\n\\end\n\n\\define cancel-search-actions() <$list filter=\"[<storeTitle>!has[text]] +[<searchTiddler>!has[text]]\" emptyMessage=\"<<cancel-search-actions-inner>>\"><$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"focus-editor\"/></$list>\n\n\\define external-link()\n\\whitespace trim\n<$button class=\"tc-btn-invisible tc-btn-mini\" style=\"width: auto; display: inline-block; background-colour: inherit;\" actions=<<add-link-actions>>>\n{{$:/core/images/chevron-right}}\n</$button>\n\\end\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/sidebar\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"<$action-setfield $tiddler='$:/state/search/currentTab' text=<<nextTab>>/>\"/>\n\n\\define body(config-title)\n\\whitespace trim\n''<<lingo Hint>>''\n\n<$vars searchTiddler=\"\"\"$config-title$/search\"\"\" linkTiddler=\"\"\"$config-title$/link\"\"\" linktext=\"\" searchListState=<<qualify \"$:/temp/link-search/selected-item\">> refreshTitle=<<qualify \"$:/temp/link-search/refresh\">> storeTitle=<<qualify \"$:/temp/link-search/input\">>>\n\n<$vars linkTiddler=<<searchTiddler>>>\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">> class=\"tc-create-wikitext-link\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<searchTiddler>> storeTitle=<<storeTitle>>\n\t\tselectionStateTitle=<<searchListState>> refreshTitle=<<refreshTitle>> type=\"search\" filterMinLength=\"1\"\n\t\ttag=\"input\" focus=\"true\" class=\"tc-popup-handle\" inputCancelActions=<<cancel-search-actions>>\n\t\tinputAcceptActions=<<add-link-actions>> placeholder={{$:/language/Search/Search}} default=\"\"\n\t\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\" />\n</$keyboard>\n</$keyboard>\n&#32;\n<$reveal tag=\"span\" state=<<storeTitle>> type=\"nomatch\" text=\"\">\n<<external-link>>\n&#32;\n<$button class=\"tc-btn-invisible tc-btn-mini\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<<cancel-search-actions>><$set name=\"cssEscapedTitle\" value={{{ [<storyTiddler>escapecss[]] }}}><$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-focus-selector>>/></$set>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</$vars>\n\n<$reveal tag=\"div\" state=<<storeTitle>> type=\"nomatch\" text=\"\">\n\n<$linkcatcher actions=<<add-link-actions>> to=<<linkTiddler>>>\n\n<$vars userInput={{{ [<storeTitle>get[text]] }}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}}>\n\n{{$:/core/ui/SearchResults}}\n\n</$vars>\n\n</$linkcatcher>\n\n</$reveal>\n\n</$vars>\n\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">>/>\n"},"$:/core/ui/EditorToolbar/link":{"title":"$:/core/ui/EditorToolbar/link","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/link","caption":"{{$:/language/Buttons/Link/Caption}}","description":"{{$:/language/Buttons/Link/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","button-classes":"tc-text-editor-toolbar-item-start-group","shortcuts":"((link))","dropdown":"$:/core/ui/EditorToolbar/link-dropdown","text":""},"$:/core/ui/EditorToolbar/linkify":{"title":"$:/core/ui/EditorToolbar/linkify","caption":"{{$:/language/Buttons/Linkify/Caption}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","description":"{{$:/language/Buttons/Linkify/Hint}}","icon":"$:/core/images/linkify","list-before":"$:/core/ui/EditorToolbar/mono-block","shortcuts":"((linkify))","tags":"$:/tags/EditorToolbar","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"[[\"\n\tsuffix=\"]]\"\n/>\n"},"$:/core/ui/EditorToolbar/list-bullet":{"title":"$:/core/ui/EditorToolbar/list-bullet","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/list-bullet","caption":"{{$:/language/Buttons/ListBullet/Caption}}","description":"{{$:/language/Buttons/ListBullet/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((list-bullet))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"},"$:/core/ui/EditorToolbar/list-number":{"title":"$:/core/ui/EditorToolbar/list-number","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/list-number","caption":"{{$:/language/Buttons/ListNumber/Caption}}","description":"{{$:/language/Buttons/ListNumber/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((list-number))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"},"$:/core/ui/EditorToolbar/mono-block":{"title":"$:/core/ui/EditorToolbar/mono-block","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/mono-block","caption":"{{$:/language/Buttons/MonoBlock/Caption}}","description":"{{$:/language/Buttons/MonoBlock/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","button-classes":"tc-text-editor-toolbar-item-start-group","shortcuts":"((mono-block))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"},"$:/core/ui/EditorToolbar/mono-line":{"title":"$:/core/ui/EditorToolbar/mono-line","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/mono-line","caption":"{{$:/language/Buttons/MonoLine/Caption}}","description":"{{$:/language/Buttons/MonoLine/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((mono-line))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"},"$:/core/ui/EditorToolbar/more-dropdown":{"title":"$:/core/ui/EditorToolbar/more-dropdown","text":"\\define config-title()\n$:/config/EditorToolbarButtons/Visibility/$(toolbarItem)$\n\\end\n\n\\define conditional-button()\n\\whitespace trim\n<$list filter={{$(toolbarItem)$!!condition}} variable=\"condition\">\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\" mode=\"inline\"/>\n&#32;\n<$transclude tiddler=<<toolbarItem>> field=\"description\"/>\n</$list>\n\\end\n\\whitespace trim\n\n<div class=\"tc-text-editor-toolbar-more\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]] -[[$:/core/ui/EditorToolbar/more]]\">\n<$reveal type=\"match\" state=<<config-visibility-title>> text=\"hide\" tag=\"div\">\n<<conditional-button>>\n</$reveal>\n</$list>\n</div>\n"},"$:/core/ui/EditorToolbar/more":{"title":"$:/core/ui/EditorToolbar/more","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/down-arrow","caption":"{{$:/language/Buttons/More/Caption}}","description":"{{$:/language/Buttons/More/Hint}}","condition":"[<targetTiddler>]","dropdown":"$:/core/ui/EditorToolbar/more-dropdown","text":""},"$:/core/ui/EditorToolbar/opacity-dropdown":{"title":"$:/core/ui/EditorToolbar/opacity-dropdown","text":"\\define lingo-base() $:/language/Buttons/Opacity/\n\n\\define toolbar-opacity-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(opacity)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Opacity\"\n\t$value=\"$(opacity)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(current-paint-colour)$; opacity: $(opacity)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(opacity)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/Opacity\" type=\"match\" text=\"\"\"$(opacity)$\"\"\" tag=\"span\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n\\define toolbar-opacity()\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/Opacities}} variable=\"opacity\">\n\n<<toolbar-opacity-inner>>\n\n</$list>\n\\end\n\n<$set name=\"current-paint-colour\" value={{$:/config/BitmapEditor/Colour}}>\n\n<$set name=\"current-opacity\" value={{$:/config/BitmapEditor/Opacity}}>\n\n<<toolbar-opacity>>\n\n</$set>\n\n</$set>\n"},"$:/core/ui/EditorToolbar/opacity":{"title":"$:/core/ui/EditorToolbar/opacity","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/opacity","caption":"{{$:/language/Buttons/Opacity/Caption}}","description":"{{$:/language/Buttons/Opacity/Hint}}","condition":"[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]","dropdown":"$:/core/ui/EditorToolbar/opacity-dropdown","text":"<$text text={{$:/config/BitmapEditor/Opacity}}/>\n"},"$:/core/ui/EditorToolbar/paint-dropdown":{"title":"$:/core/ui/EditorToolbar/paint-dropdown","text":"''{{$:/language/Buttons/Paint/Hint}}''\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Colour\"\n\t$value=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"},"$:/core/ui/EditorToolbar/paint":{"title":"$:/core/ui/EditorToolbar/paint","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/paint","caption":"{{$:/language/Buttons/Paint/Caption}}","description":"{{$:/language/Buttons/Paint/Hint}}","condition":"[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]","dropdown":"$:/core/ui/EditorToolbar/paint-dropdown","text":"\\define toolbar-paint()\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(colour-picker-value)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\\end\n\\whitespace trim\n<$set name=\"colour-picker-value\" value={{$:/config/BitmapEditor/Colour}}>\n<<toolbar-paint>>\n</$set>\n"},"$:/core/ui/EditorToolbar/picture-dropdown":{"title":"$:/core/ui/EditorToolbar/picture-dropdown","text":"\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"},"$:/core/ui/EditorToolbar/picture":{"title":"$:/core/ui/EditorToolbar/picture","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/picture","caption":"{{$:/language/Buttons/Picture/Caption}}","description":"{{$:/language/Buttons/Picture/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((picture))","dropdown":"$:/core/ui/EditorToolbar/picture-dropdown","text":""},"$:/core/ui/EditorToolbar/preview-type-dropdown":{"title":"$:/core/ui/EditorToolbar/preview-type-dropdown","text":"\\define preview-type-button()\n<$button tag=\"a\">\n\n<$action-setfield $tiddler=\"$:/state/editpreviewtype\" $value=\"$(previewType)$\"/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<previewType>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<previewType>> field=\"title\" mode=\"inline\"/>\n\n</$transclude> \n\n<$reveal tag=\"span\" state=\"$:/state/editpreviewtype\" type=\"match\" text=<<previewType>> default=\"$:/core/ui/EditTemplate/body/preview/output\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]]\" variable=\"previewType\">\n\n<<preview-type-button>>\n\n</$list>\n"},"$:/core/ui/EditorToolbar/preview-type":{"title":"$:/core/ui/EditorToolbar/preview-type","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/chevron-down","caption":"{{$:/language/Buttons/PreviewType/Caption}}","description":"{{$:/language/Buttons/PreviewType/Hint}}","condition":"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]butfirst[]limit[1]]","button-classes":"tc-text-editor-toolbar-item-adjunct","dropdown":"$:/core/ui/EditorToolbar/preview-type-dropdown"},"$:/core/ui/EditorToolbar/preview":{"title":"$:/core/ui/EditorToolbar/preview","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/preview-open","custom-icon":"yes","caption":"{{$:/language/Buttons/Preview/Caption}}","description":"{{$:/language/Buttons/Preview/Hint}}","condition":"[<targetTiddler>]","button-classes":"tc-text-editor-toolbar-item-start-group","shortcuts":"((preview))","text":"\\whitespace trim\n<span>\n\t<$transclude $tiddler={{{ [<editPreviewStateTiddler>get[text]match[yes]then[$:/core/images/preview-open]else[$:/core/images/preview-closed]] }}} />\n</span>\n<$action-setfield $tiddler=<<editPreviewStateTiddler>> $value={{{ [<editPreviewStateTiddler>get[text]toggle[yes],[no]] }}} />\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"focus-editor\"/>"},"$:/core/ui/EditorToolbar/quote":{"title":"$:/core/ui/EditorToolbar/quote","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/quote","caption":"{{$:/language/Buttons/Quote/Caption}}","description":"{{$:/language/Buttons/Quote/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((quote))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n<<<\"\n\tsuffix=\"<<<\"\n/>\n"},"$:/core/ui/EditorToolbar/rotate-left":{"title":"$:/core/ui/EditorToolbar/rotate-left","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/rotate-left","caption":"{{$:/language/Buttons/RotateLeft/Caption}}","description":"{{$:/language/Buttons/RotateLeft/Hint}}","condition":"[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]","text":"<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"rotate-left\"\n/>\n"},"$:/core/ui/EditorToolbar/size-dropdown":{"title":"$:/core/ui/EditorToolbar/size-dropdown","text":"\\define lingo-base() $:/language/Buttons/Size/\n\n\\define toolbar-button-size-preset(config-title)\n<$set name=\"width\" filter=\"$(sizePair)$ +[first[]]\">\n\n<$set name=\"height\" filter=\"$(sizePair)$ +[last[]]\">\n\n<$button tag=\"a\">\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n\t$value=<<width>>\n/>\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n\t$value=<<height>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/presets-popup\"\"\"\n/>\n\n<$text text=<<width>>/> &times; <$text text=<<height>>/>\n\n</$button>\n\n</$set>\n\n</$set>\n\\end\n\n\\define toolbar-button-size(config-title)\n\\whitespace trim\n''{{$:/language/Buttons/Size/Hint}}''\n\n<<lingo Caption/Width>>&#32;<$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-width\"\"\" default=<<tv-bitmap-editor-width>> focus=\"true\" size=\"8\"/>\n&#32;\n<<lingo Caption/Height>>&#32;<$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-height\"\"\" default=<<tv-bitmap-editor-height>> size=\"8\"/>\n&#32;\n<$button popup=\"\"\"$config-title$/presets-popup\"\"\" class=\"tc-btn-invisible tc-popup-keep\" style=\"width: auto; display: inline-block; background-colour: inherit;\" selectedClass=\"tc-selected\">\n{{$:/core/images/down-arrow}}\n</$button>\n\n<$reveal tag=\"span\" state=\"\"\"$config-title$/presets-popup\"\"\" type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down tc-popup-keep\">\n\n<$list filter={{$:/config/BitmapEditor/ImageSizes}} variable=\"sizePair\">\n\n<$macrocall $name=\"toolbar-button-size-preset\" config-title=\"$config-title$\"/>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"resize\"\n\twidth={{$config-title$/new-width}}\n\theight={{$config-title$/new-height}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Resize>>\n</$button>\n\\end\n\n<$macrocall $name=\"toolbar-button-size\" config-title=<<qualify \"$:/state/Size/\">>/>\n"},"$:/core/ui/EditorToolbar/size":{"title":"$:/core/ui/EditorToolbar/size","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/size","caption":"{{$:/language/Buttons/Size/Caption}}","description":"{{$:/language/Buttons/Size/Hint}}","condition":"[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]","dropdown":"$:/core/ui/EditorToolbar/size-dropdown","text":""},"$:/core/ui/EditorToolbar/StampDropdown/ItemTemplate":{"title":"$:/core/ui/EditorToolbar/StampDropdown/ItemTemplate","text":"<$linkcatcher actions=\"\"\"\n\n<$list filter=\"[<modifier>!match[ctrl]]\" variable=\"ignore\">\n\n<$list filter=\"[<currentTiddler>addsuffix[/prefix]!is[tiddler]!is[shadow]removesuffix[/prefix]addsuffix[/suffix]!is[tiddler]!is[shadow]]\" variable=\"ignore\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{{ [<currentTiddler>get[text]] }}}\n/>\n\n</$list>\n\n\n<$list filter=\"[<currentTiddler>addsuffix[/prefix]] [<currentTiddler>addsuffix[/suffix]] +[is[shadow]] :else[is[tiddler]] +[limit[1]]\" variable=\"ignore\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix={{{ [<currentTiddler>addsuffix[/prefix]get[text]] }}}\n  suffix={{{ [<currentTiddler>addsuffix[/suffix]get[text]] }}}\n/>\n\n</$list>\n\n</$list>\n\n<$list filter=\"[<modifier>match[ctrl]]\" variable=\"ignore\">\n\n<$action-sendmessage $message=\"tm-edit-tiddler\"/>\n\n</$list>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\">\n\n<$link tooltip={{{ [<currentTiddler>get[description]] }}}>\n\n<$transclude tiddler=<<currentTiddler>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<currentTiddler>> field=\"title\" />\n\n</$transclude>\n\n</$link>\n\n</$linkcatcher>\n"},"$:/core/ui/EditorToolbar/stamp-dropdown":{"title":"$:/core/ui/EditorToolbar/stamp-dropdown","text":"<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/TextEditor/Snippet\" subFilter=\"!is[draft]\" itemTemplate=\"$:/core/ui/EditorToolbar/StampDropdown/ItemTemplate\"/>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/TextEditor/Snippet\"\n\tcaption={{$:/language/Buttons/Stamp/New/Title}}\n\ttext={{$:/language/Buttons/Stamp/New/Text}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n"},"$:/core/ui/EditorToolbar/stamp":{"title":"$:/core/ui/EditorToolbar/stamp","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/stamp","caption":"{{$:/language/Buttons/Stamp/Caption}}","description":"{{$:/language/Buttons/Stamp/Hint}}","condition":"[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] [<targetTiddler>get[type]match[application/javascript]] [<targetTiddler>get[type]match[application/json]] [<targetTiddler>get[type]match[application/x-tiddler-dictionary]] [<targetTiddler>get[type]match[image/svg+xml]] +[first[]]","shortcuts":"((stamp))","dropdown":"$:/core/ui/EditorToolbar/stamp-dropdown","button-classes":"tc-editortoolbar-stamp-button","text":""},"$:/core/ui/EditorToolbar/strikethrough":{"title":"$:/core/ui/EditorToolbar/strikethrough","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/strikethrough","caption":"{{$:/language/Buttons/Strikethrough/Caption}}","description":"{{$:/language/Buttons/Strikethrough/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((strikethrough))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"},"$:/core/ui/EditorToolbar/subscript":{"title":"$:/core/ui/EditorToolbar/subscript","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/subscript","caption":"{{$:/language/Buttons/Subscript/Caption}}","description":"{{$:/language/Buttons/Subscript/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((subscript))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\",,\"\n\tsuffix=\",,\"\n/>\n"},"$:/core/ui/EditorToolbar/superscript":{"title":"$:/core/ui/EditorToolbar/superscript","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/superscript","caption":"{{$:/language/Buttons/Superscript/Caption}}","description":"{{$:/language/Buttons/Superscript/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((superscript))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^^\"\n\tsuffix=\"^^\"\n/>\n"},"$:/core/ui/EditorToolbar/transcludify":{"title":"$:/core/ui/EditorToolbar/transcludify","caption":"{{$:/language/Buttons/Transcludify/Caption}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","description":"{{$:/language/Buttons/Transcludify/Hint}}","icon":"$:/core/images/transcludify","list-before":"$:/core/ui/EditorToolbar/mono-block","shortcuts":"((transcludify))","tags":"$:/tags/EditorToolbar","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"{{\"\n\tsuffix=\"}}\"\n/>\n"},"$:/core/ui/EditorToolbar/underline":{"title":"$:/core/ui/EditorToolbar/underline","tags":"$:/tags/EditorToolbar","icon":"$:/core/images/underline","caption":"{{$:/language/Buttons/Underline/Caption}}","description":"{{$:/language/Buttons/Underline/Hint}}","condition":"[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]","shortcuts":"((underline))","text":"<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"__\"\n\tsuffix=\"__\"\n/>\n"},"$:/core/ui/ExportTiddlyWikiCore":{"title":"$:/core/ui/ExportTiddlyWikiCore","text":"\\define jsFileName() tiddlywikicore-$(version)$.js\n\\define noExportMsg()\nIt appears that you have a wiki with an external ~TiddlyWiki core. The export action cannot be performed.\n<p>You will need to view the page source in your browser. Then go to the very bottom the the source, find the last `<script>` \nelement, and right-click its `src` URI. Save the link as ''$(jsFileName)$''</p>\n\\end\n\n''For advanced users''\n\nExport the ~TiddlyWiki core ~JavaScript code for running with external ~JavaScript:\n\n<$button tooltip=\"Export the ~TiddlyWiki core code for running with external ~JavaScript\" aria-label=\"export TiddlyWiki core\" class=\"tc-btn-big-green\">\n<$list filter=\"[[$:/boot/boot.js]is[missing]]\" variable=\"ignore\" emptyMessage=\"\"\"<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/templates/tiddlywiki5.js\" filename=<<jsFileName>>/>\"\"\" >\n<$action-setfield $tiddler=<<qualify \"$:/temp/alert\">> text=<<noExportMsg>> subtitle=\"Export ~TiddllyWiki Core\"/>\n<$action-sendmessage $message=\"tm-modal\" $param=<<qualify \"$:/temp/alert\">>/>\n</$list>\n{{$:/core/images/download-button}} Download ~TiddlyWiki core\n</$button>\n\n[[Further information|https://tiddlywiki.com/#Using%20the%20external%20JavaScript%20template]]\n"},"$:/core/Filters/AllTags":{"title":"$:/core/Filters/AllTags","tags":"$:/tags/Filter","filter":"[tags[]!is[system]sort[title]]","description":"{{$:/language/Filters/AllTags}}","text":""},"$:/core/Filters/AllTiddlers":{"title":"$:/core/Filters/AllTiddlers","tags":"$:/tags/Filter","filter":"[!is[system]sort[title]]","description":"{{$:/language/Filters/AllTiddlers}}","text":""},"$:/core/Filters/Drafts":{"title":"$:/core/Filters/Drafts","tags":"$:/tags/Filter","filter":"[has[draft.of]sort[title]]","description":"{{$:/language/Filters/Drafts}}","text":""},"$:/core/Filters/Missing":{"title":"$:/core/Filters/Missing","tags":"$:/tags/Filter","filter":"[all[missing]sort[title]]","description":"{{$:/language/Filters/Missing}}","text":""},"$:/core/Filters/Orphans":{"title":"$:/core/Filters/Orphans","tags":"$:/tags/Filter","filter":"[all[orphans]sort[title]]","description":"{{$:/language/Filters/Orphans}}","text":""},"$:/core/Filters/OverriddenShadowTiddlers":{"title":"$:/core/Filters/OverriddenShadowTiddlers","tags":"$:/tags/Filter","filter":"[is[shadow]]","description":"{{$:/language/Filters/OverriddenShadowTiddlers}}","text":""},"$:/core/Filters/RecentSystemTiddlers":{"title":"$:/core/Filters/RecentSystemTiddlers","tags":"$:/tags/Filter","filter":"[has[modified]!sort[modified]limit[50]]","description":"{{$:/language/Filters/RecentSystemTiddlers}}","text":""},"$:/core/Filters/RecentTiddlers":{"title":"$:/core/Filters/RecentTiddlers","tags":"$:/tags/Filter","filter":"[!is[system]has[modified]!sort[modified]limit[50]]","description":"{{$:/language/Filters/RecentTiddlers}}","text":""},"$:/core/Filters/SessionTiddlers":{"title":"$:/core/Filters/SessionTiddlers","tags":"$:/tags/Filter","filter":"[haschanged[]]","description":"{{$:/language/Filters/SessionTiddlers}}","text":""},"$:/core/Filters/ShadowTiddlers":{"title":"$:/core/Filters/ShadowTiddlers","tags":"$:/tags/Filter","filter":"[all[shadows]sort[title]]","description":"{{$:/language/Filters/ShadowTiddlers}}","text":""},"$:/core/Filters/StoryList":{"title":"$:/core/Filters/StoryList","tags":"$:/tags/Filter","filter":"[list[$:/StoryList]] -$:/AdvancedSearch","description":"{{$:/language/Filters/StoryList}}","text":""},"$:/core/Filters/SystemTags":{"title":"$:/core/Filters/SystemTags","tags":"$:/tags/Filter","filter":"[all[shadows+tiddlers]tags[]is[system]sort[title]]","description":"{{$:/language/Filters/SystemTags}}","text":""},"$:/core/Filters/SystemTiddlers":{"title":"$:/core/Filters/SystemTiddlers","tags":"$:/tags/Filter","filter":"[is[system]sort[title]]","description":"{{$:/language/Filters/SystemTiddlers}}","text":""},"$:/core/Filters/TypedTiddlers":{"title":"$:/core/Filters/TypedTiddlers","tags":"$:/tags/Filter","filter":"[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]","description":"{{$:/language/Filters/TypedTiddlers}}","text":""},"$:/core/ui/ImportListing":{"title":"$:/core/ui/ImportListing","text":"\\define lingo-base() $:/language/Import/\n\n\\define messageField() message-$(payloadTiddler)$\n\n\\define payloadTitleFilter() [<currentTiddler>get<renameField>minlength[1]else<payloadTiddler>]\n\n\\define overWriteWarning()\n\\whitespace trim\n<$list filter=\"[<currentTiddler>!has<suppressedField>]\">\n<$text text={{{[subfilter<payloadTitleFilter>!is[tiddler]then[]] ~[<lingo-base>addsuffix[Listing/Rename/OverwriteWarning]get[text]]}}}/>\n</$list>\n\\end\n\n\\define selectionInfo()\n\\whitespace trim\n<$set name=\"escUnselected\" value={{{[{$:/language/Import/Upgrader/Tiddler/Unselected}escaperegexp[]addprefix[(?g)]]}}}>\n\t<$list filter=\"[all[current]get<messageField>regexp<escUnselected>]\" variable=\"ignore\">\n\t\t<$text text={{{[all[current]get<selectionField>match[checked]then{$:/language/Import/Upgrader/Tiddler/Selected}else[]]}}}/>\n\t</$list>\n</$set>\n\\end\n\n\\define libraryInfo()\n\\whitespace trim\n<$set name=\"escUnselected\" value={{{[{$:/language/Import/Upgrader/Tiddler/Unselected}escaperegexp[]addprefix[(?g)]]}}}>\n\t<$list filter=\"[all[current]get<messageField>!regexp<escUnselected>]\" variable=\"ignore\">\n\t\t<$text text={{{[all[current]get<messageField>]}}}/>\n\t</$list>\n</$set>\n\\end\n\n\\define selectionField() selection-$(payloadTiddler)$\n\n\\define renameField() rename-$(payloadTiddler)$\n\n\\define suppressedField() suppressed-$(payloadTiddler)$\n\n\\define newImportTitleTiddler() $:/temp/NewImportTitle-$(payloadTiddler)$\n\n\\define previewPopupState() $(currentTiddler)$!!popup-$(payloadTiddler)$\n\n\\define renameFieldState() $(currentTiddler)$!!state-rename-$(payloadTiddler)$\n\n\\define select-all-actions()\n\\whitespace trim\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<$action-setfield $field={{{ [<payloadTiddler>addprefix[selection-]] }}} $value={{$:/state/import/select-all}}/>\n</$list>\n\\end\n\n\\whitespace trim\n<table class=\"tc-import-table\">\n<tbody>\n<tr>\n<th align=\"left\">\n<$checkbox tiddler=\"$:/state/import/select-all\" field=\"text\" checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" actions=<<select-all-actions>>>\n&#32;\n<<lingo Listing/Select/Caption>>\n</$checkbox>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr class={{{[<currentTiddler>has<suppressedField>then[tc-row-disabled]] ~[subfilter<payloadTitleFilter>is[tiddler]then[tc-row-warning]] }}}>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" disabled={{{[<currentTiddler>has<suppressedField>then[yes]else[no]]}}}/>\n</td>\n<td>\n<$reveal type=\"nomatch\" state=<<renameFieldState>> text=\"yes\" tag=\"div\">\n<$reveal type=\"nomatch\" state=<<previewPopupState>> text=\"yes\" tag=\"div\" class=\"tc-flex\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown tc-flex-grow-1 tc-word-break\" set=<<previewPopupState>> setTo=\"yes\" disabled={{{[<currentTiddler>has<suppressedField>then[yes]else[no]]}}}>\n<span class=\"tc-small-gap-right\">{{$:/core/images/right-arrow}}</span><$text text={{{[subfilter<payloadTitleFilter>]}}}/>\n</$button>\n<$list filter=\"[<currentTiddler>!has<suppressedField>]\"><$button class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"yes\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/Tooltip]get[text]]}}}>{{$:/core/images/edit-button}}</$button></$list>\n</$reveal>\n<$reveal type=\"match\" state=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<previewPopupState>> setTo=\"no\">\n<span class=\"tc-small-gap-right\">{{$:/core/images/down-arrow}}</span><$text text={{{[subfilter<payloadTitleFilter>]}}}/>\n</$button>\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" state=<<renameFieldState>> text=\"yes\" tag=\"div\">\n<$text text={{{[<lingo-base>addsuffix[Listing/Rename/Prompt]get[text]]}}}/>\n</$reveal>\n</td>\n<td>\n<<selectionInfo>>\n&#32;\n<<libraryInfo>>\n&#32;\n<<overWriteWarning>>\n</td>\n</tr>\n<$reveal type=\"match\" state=<<renameFieldState>> text=\"yes\" tag=\"tr\">\n\t<td colspan=\"3\">\n\t\t<div class=\"tc-flex\">\n\t\t\t<$edit-text tiddler=<<newImportTitleTiddler>>  default={{{[subfilter<payloadTitleFilter>]}}} tag=\"input\" class=\"tc-import-rename tc-flex-grow-1\"/>\n\t\t\t<span class=\"tc-small-gap-left\">\n\t\t\t\t<$button  class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"no\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/CancelRename]get[text]]}}}>\n\t\t\t\t\t{{$:/core/images/close-button}}\n\t\t\t\t\t<$action-deletetiddler $tiddler=<<newImportTitleTiddler>>/>\n\t\t\t\t</$button>\n\t\t\t\t<span class=\"tc-small-gap-right\"/>\n\t\t\t</span>\n\t\t\t<$button  class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"no\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/ConfirmRename]get[text]]}}}>\n\t\t\t\t{{$:/core/images/done-button}}\n\t\t\t\t<$action-setfield $field=<<renameField>> $value={{{[<newImportTitleTiddler>get[text]minlength[1]else<payloadTiddler>]}}} />\n\t\t\t\t<$action-deletetiddler $tiddler=<<newImportTitleTiddler>>/>\n\t\t\t</$button>\n\t\t</div>\n\t</td>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<previewPopupState>> tag=\"tr\">\n<td colspan=\"3\">\n<$list filter=\"[{$:/state/importpreviewtype}has[text]]\" variable=\"listItem\" emptyMessage={{$:/core/ui/ImportPreviews/Text}}>\n\t<div>\n\t\t<$transclude tiddler={{$:/state/importpreviewtype}}/>\n\t</div>\n</$list>\n</td>\n</$reveal>\n</$list>\n</tbody>\n</table>\n"},"$:/core/ui/ImportPreviews/Diff":{"title":"$:/core/ui/ImportPreviews/Diff","tags":"$:/tags/ImportPreview","caption":"{{$:/language/Import/Listing/Preview/Diff}}","text":"<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>>/>\n"},"$:/core/ui/ImportPreviews/DiffFields":{"title":"$:/core/ui/ImportPreviews/DiffFields","tags":"$:/tags/ImportPreview","caption":"{{$:/language/Import/Listing/Preview/DiffFields}}","text":"<$macrocall $name=\"compareTiddlers\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>> exclude=\"text\"/>\n"},"$:/core/ui/ImportPreviews/Fields":{"title":"$:/core/ui/ImportPreviews/Fields","tags":"$:/tags/ImportPreview","caption":"{{$:/language/Import/Listing/Preview/Fields}}","text":"\\whitespace trim\n<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[<payloadTiddler>subtiddlerfields<currentTiddler>sort[]] -text\" variable=\"fieldName\">\n<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<fieldName>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<fieldName>> tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>>/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"},"$:/core/ui/ImportPreviews/Text":{"title":"$:/core/ui/ImportPreviews/Text","tags":"$:/tags/ImportPreview","caption":"{{$:/language/Import/Listing/Preview/Text}}","code-body":"yes","text":"<$transclude tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> mode=\"block\"/>\n"},"$:/core/ui/ImportPreviews/TextRaw":{"title":"$:/core/ui/ImportPreviews/TextRaw","tags":"$:/tags/ImportPreview","caption":"{{$:/language/Import/Listing/Preview/TextRaw}}","text":"<pre><code><$view tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> /></code></pre>"},"$:/core/ui/KeyboardShortcuts/advanced-search":{"title":"$:/core/ui/KeyboardShortcuts/advanced-search","tags":"$:/tags/KeyboardShortcut","key":"((advanced-search))","text":"\\whitespace trim\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n<$action-navigate $to=\"$:/AdvancedSearch\" $scroll=\"yes\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\" preventScroll=\"true\"/>\n</$navigator>\n"},"$:/core/ui/KeyboardShortcuts/change-sidebar-layout":{"title":"$:/core/ui/KeyboardShortcuts/change-sidebar-layout","tags":"$:/tags/KeyboardShortcut","key":"((change-sidebar-layout))","text":"\\whitespace trim\n<$list\n\tfilter=\"[{$:/themes/tiddlywiki/vanilla/options/sidebarlayout}match[fixed-fluid]]\"\n\temptyMessage=\"<$action-setfield $tiddler='$:/themes/tiddlywiki/vanilla/options/sidebarlayout' text='fixed-fluid'/>\">\n<$action-setfield $tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" text=\"fluid-fixed\"/>\n</$list>\n"},"$:/core/ui/KeyboardShortcuts/new-image":{"title":"$:/core/ui/KeyboardShortcuts/new-image","tags":"$:/tags/KeyboardShortcut","key":"((new-image))","text":"\\whitespace trim\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-image}}\n</$navigator>\n"},"$:/core/ui/KeyboardShortcuts/new-journal":{"title":"$:/core/ui/KeyboardShortcuts/new-journal","tags":"$:/tags/KeyboardShortcut","key":"((new-journal))","text":"\\whitespace trim\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-journal}}\n</$navigator>\n"},"$:/core/ui/KeyboardShortcuts/new-tiddler":{"title":"$:/core/ui/KeyboardShortcuts/new-tiddler","tags":"$:/tags/KeyboardShortcut","key":"((new-tiddler))","text":"\\whitespace trim\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-tiddler}}\n</$navigator>\n"},"$:/core/ui/KeyboardShortcuts/save-wiki":{"title":"$:/core/ui/KeyboardShortcuts/save-wiki","tags":"$:/tags/KeyboardShortcut","key":"((save-wiki))","text":"\\whitespace trim\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n"},"$:/core/ui/KeyboardShortcuts/sidebar-search":{"title":"$:/core/ui/KeyboardShortcuts/sidebar-search","tags":"$:/tags/KeyboardShortcut","key":"((sidebar-search))","text":"<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n"},"$:/core/ui/KeyboardShortcuts/switcher":{"title":"$:/core/ui/KeyboardShortcuts/switcher","tags":"$:/tags/KeyboardShortcut","key":"((layout-switcher))","text":"<$action-sendmessage $message=\"tm-show-switcher\" switch=\"layout\"/>"},"$:/core/ui/KeyboardShortcuts/toggle-sidebar":{"title":"$:/core/ui/KeyboardShortcuts/toggle-sidebar","tags":"$:/tags/KeyboardShortcut","key":"((toggle-sidebar))","text":"\\whitespace trim\n<$list\n\tfilter=\"[[$:/state/sidebar]is[missing]] [{$:/state/sidebar}removeprefix[yes]]\"\n\temptyMessage=\"<$action-setfield $tiddler='$:/state/sidebar' text='yes'/>\">\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"no\"/>\n</$list>\n"},"$:/snippets/LayoutSwitcher":{"title":"$:/snippets/LayoutSwitcher","tags":"$:/tags/ControlPanel/Appearance","caption":"{{$:/language/ControlPanel/LayoutSwitcher/Caption}}","text":"\\whitespace trim\n<$linkcatcher to=\"$:/layout\">\n<div class=\"tc-chooser\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/Layout]] [[$:/core/ui/PageTemplate]] +[!is[draft]sort[name]]\">\n<$list\n\tfilter=\"[{$:/layout}!has[text]]\"\n\tvariable=\"ignore\"\n\temptyMessage=\"\"\"\\whitespace trim\n\t\t<$set name=\"cls\" filter=\"[all[current]field:title{$:/layout}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\">\n\t\t<div class=<<cls>>>\n\t\t<$link to={{!!title}}>\n\t\t''<$transclude tiddler={{{ [<currentTiddler>get[icon]] }}}/><$transclude field=\"name\"/>''&#32;-&#32;<$transclude field=\"description\"/>\n\t\t</$link></div></$set>\n\"\"\">\n<$set name=\"cls\" filter=\"[all[current]field:title[$:/core/ui/PageTemplate]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\">\n<div class=<<cls>>>\n<$link to={{!!title}}>\n''<$transclude tiddler={{{ [<currentTiddler>get[icon]] }}}/><$transclude field=\"name\"/>''&#32;-&#32;<$transclude field=\"description\"/>\n</$link>\n</div>\n</$set>\n</$list>\n</$list>\n</div>\n</$linkcatcher>\n"},"$:/core/ui/ListItemTemplate":{"title":"$:/core/ui/ListItemTemplate","text":"<div class=\"tc-menu-list-item\"><$link /></div>"},"$:/snippets/ListTaggedCascade":{"title":"$:/snippets/ListTaggedCascade","text":"\\whitespace trim\n{{||$:/language/ControlPanel/Cascades/TagPrompt}}\n\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag<currentTiddler>]\">\n<li>\n<div>\n<$link><$text text=<<currentTiddler>>/></$link>\n</div>\n<$codeblock code={{!!text}}/>\n</li>\n</$list>\n</ol>\n"},"$:/Manager/ItemMain/Fields":{"title":"$:/Manager/ItemMain/Fields","tags":"$:/tags/Manager/ItemMain","caption":"{{$:/language/Manager/Item/Fields}}","text":"\\whitespace trim\n<table>\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"},"$:/Manager/ItemMain/RawText":{"title":"$:/Manager/ItemMain/RawText","tags":"$:/tags/Manager/ItemMain","caption":"{{$:/language/Manager/Item/RawText}}","text":"<pre><code><$view/></code></pre>\n"},"$:/Manager/ItemMain/WikifiedText":{"title":"$:/Manager/ItemMain/WikifiedText","tags":"$:/tags/Manager/ItemMain","caption":"{{$:/language/Manager/Item/WikifiedText}}","text":"<$transclude mode=\"block\"/>\n"},"$:/Manager/ItemSidebar/Colour":{"title":"$:/Manager/ItemSidebar/Colour","tags":"$:/tags/Manager/ItemSidebar","caption":"{{$:/language/Manager/Item/Colour}}","text":"\\define swatch-styles()\nheight: 1em;\nbackground-color: $(colour)$\n\\end\n\n\\whitespace trim\n<$vars colour={{!!color}}>\n<p style=<<swatch-styles>>/>\n</$vars>\n<p>\n<$edit-text field=\"color\" tag=\"input\" type=\"color\"/>\n&#32;/&#32;\n<$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/>\n</p>\n"},"$:/Manager/ItemSidebar/Icon":{"title":"$:/Manager/ItemSidebar/Icon","tags":"$:/tags/Manager/ItemSidebar","caption":"{{$:/language/Manager/Item/Icon}}","text":"\\whitespace trim\n<p>\n<div class=\"tc-manager-icon-editor\">\n<$button popup=<<qualify \"$:/state/popup/image-picker\">> class=\"tc-btn-invisible\">\n<$transclude tiddler={{!!icon}}>\n{{$:/language/Manager/Item/Icon/None}}\n</$transclude>\n</$button>\n<div class=\"tc-block-dropdown-wrapper\" style=\"position: static;\">\n<$reveal state=<<qualify \"$:/state/popup/image-picker\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-popup\">\n<div class=\"tc-block-dropdown tc-popup-keep\" style=\"width: 80%; left: 10%; right: 10%; padding: 0.5em;\">\n<$macrocall\n\t$name=\"image-picker-include-tagged-images\"\n\tactions=\"<$action-setfield $field='icon' $value=<<imageTitle>>/><$action-deletetiddler $tiddler=<<qualify '$:/state/popup/image-picker'>>/>\"/>\n</div>\n</$reveal>\n</div>\n</div>\n</p>\n"},"$:/Manager/ItemSidebar/Tags":{"title":"$:/Manager/ItemSidebar/Tags","tags":"$:/tags/Manager/ItemSidebar","caption":"{{$:/language/Manager/Item/Tags}}","text":"\\whitespace trim\n\\define tag-checkbox-actions()\n<$action-listops\n\t$tiddler=\"$:/config/Manager/RecentTags\"\n\t$subfilter=\"[<tag>] [list[$:/config/Manager/RecentTags]] +[limit[12]]\"\n/>\n\\end\n\n\\define tag-picker-actions()\n<<tag-checkbox-actions>>\n\\end\n\n<p>\n<$list filter=\"[all[current]tags[]] [list[$:/config/Manager/RecentTags]] +[sort[title]] \" variable=\"tag\" storyview=\"pop\">\n<div>\n<$checkbox tiddler=<<currentTiddler>> tag=<<tag>> actions=<<tag-checkbox-actions>>>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$checkbox>\n</div>\n</$list>\n</p>\n<p>\n<$fieldmangler>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</$fieldmangler>\n</p>\n"},"$:/Manager/ItemSidebar/Tools":{"title":"$:/Manager/ItemSidebar/Tools","tags":"$:/tags/Manager/ItemSidebar","caption":"{{$:/language/Manager/Item/Tools}}","text":"\\whitespace trim\n<p>\n<$button to=<<currentTiddler>>>\n{{$:/core/images/link}}&#32;open\n</$button>\n</p>\n<p>\n<$button message=\"tm-edit-tiddler\" param=<<currentTiddler>>>\n{{$:/core/images/edit-button}}&#32;edit\n</$button>\n</p>\n"},"$:/Manager":{"title":"$:/Manager","icon":"$:/core/images/list","color":"#bbb","text":"\\define lingo-base() $:/language/Manager/\n\n\\define list-item-content-item()\n\\whitespace trim\n<div class=\"tc-manager-list-item-content-item\">\n\t<$vars state-title=\"\"\"$:/state/popup/manager/item/$(listItem)$\"\"\">\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"hide\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/down-arrow}}&#32;<$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"nomatch\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"show\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/right-arrow}}&#32;<$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\" class=\"tc-manager-list-item-content-item-body\">\n\t\t\t<$transclude tiddler=<<listItem>>/>\n\t\t</$reveal>\n\t</$vars>\n</div>\n\\end\n\n\\whitespace trim\n<div class=\"tc-manager-wrapper\">\n\t<div class=\"tc-manager-controls\">\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Show/Prompt>>&#32;<$select tiddler=\"$:/config/Manager/Show\" default=\"tiddlers\">\n\t\t\t\t<option value=\"tiddlers\"><<lingo Controls/Show/Option/Tiddlers>></option>\n\t\t\t\t<option value=\"tags\"><<lingo Controls/Show/Option/Tags>></option>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Search/Prompt>>&#32;<$edit-text tiddler=\"$:/config/Manager/Filter\" tag=\"input\" default=\"\" placeholder={{$:/language/Manager/Controls/Search/Placeholder}}/>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/FilterByTag/Prompt>>&#32;<$select tiddler=\"$:/config/Manager/Tag\" default=\"\">\n\t\t\t\t<option value=\"\"><<lingo Controls/FilterByTag/None>></option>\n\t\t\t\t<$list filter=\"[!is{$:/config/Manager/System}tags[]!is[system]sort[title]]\" variable=\"tag\">\n\t\t\t\t\t<option value=<<tag>>><$text text=<<tag>>/></option>\n\t\t\t\t</$list>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Sort/Prompt>>&#32;<$select tiddler=\"$:/config/Manager/Sort\" default=\"title\">\n\t\t\t\t<optgroup label=\"Common\">\n\t\t\t\t\t<$list filter=\"title modified modifier created creator created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t\t<optgroup label=\"All\">\n\t\t\t\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}fields[]sort[title]] -title -modified -modifier -created -creator -created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t</$select>\n\t\t\t&#32;\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/Order\" field=\"text\" checked=\"reverse\" unchecked=\"forward\" default=\"forward\">\n\t\t\t\t&#32;\n\t\t\t\t<<lingo Controls/Order/Prompt>>\n\t\t\t</$checkbox>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/System\" field=\"text\" checked=\"\" unchecked=\"system\" default=\"system\">\n\t\t\t\t&#32;\n\t\t\t\t{{$:/language/SystemTiddlers/Include/Prompt}}\n\t\t\t</$checkbox>\n\t\t</div>\n\t</div>\n\t<div class=\"tc-manager-list\">\n\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}search{$:/config/Manager/Filter}tag:strict{$:/config/Manager/Tag}sort{$:/config/Manager/Sort}order{$:/config/Manager/Order}]\">\n\t\t\t<$vars transclusion=<<currentTiddler>>>\n\t\t\t\t<div style=\"tc-manager-list-item\">\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/manager/popup\">> class=\"tc-btn-invisible tc-manager-list-item-heading\" selectedClass=\"tc-manager-list-item-heading-selected\">\n\t\t\t\t\t\t<$text text=<<currentTiddler>>/>\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/manager/popup\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-manager-list-item-content tc-popup-handle\">\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-tiddler\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemMain]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-sidebar\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemSidebar]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</$vars>\n\t\t</$list>\n\t</div>\n</div>\n"},"$:/core/ui/MissingTemplate":{"title":"$:/core/ui/MissingTemplate","text":"\\whitespace trim\n<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"},"$:/core/ui/MoreSideBar/All":{"title":"$:/core/ui/MoreSideBar/All","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/All/Caption}}","text":"<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"},"$:/core/ui/MoreSideBar/Drafts":{"title":"$:/core/ui/MoreSideBar/Drafts","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/Drafts/Caption}}","text":"<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"},"$:/core/ui/MoreSideBar/Explorer":{"title":"$:/core/ui/MoreSideBar/Explorer","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/Explorer/Caption}}","text":"<<tree \"$:/\">>\n"},"$:/core/ui/MoreSideBar/Missing":{"title":"$:/core/ui/MoreSideBar/Missing","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/Missing/Caption}}","text":"<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"},"$:/core/ui/MoreSideBar/Orphans":{"title":"$:/core/ui/MoreSideBar/Orphans","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/Orphans/Caption}}","text":"<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"},"$:/core/ui/MoreSideBar/Plugins":{"title":"$:/core/ui/MoreSideBar/Plugins","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/ControlPanel/Plugins/Caption}}","text":"\n{{$:/language/ControlPanel/Plugins/Installed/Hint}}\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar/Plugins]!has[draft.of]]\" default=\"$:/core/ui/MoreSideBar/Plugins/Plugins\" explicitState=\"$:/state/tab-1163638994\"/>\n"},"$:/core/ui/MoreSideBar/Recent":{"title":"$:/core/ui/MoreSideBar/Recent","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/Recent/Caption}}","text":"<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"},"$:/core/ui/MoreSideBar/Shadows":{"title":"$:/core/ui/MoreSideBar/Shadows","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/Shadows/Caption}}","text":"<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"},"$:/core/ui/MoreSideBar/System":{"title":"$:/core/ui/MoreSideBar/System","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/System/Caption}}","text":"<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"},"$:/core/ui/MoreSideBar/Tags":{"title":"$:/core/ui/MoreSideBar/Tags","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/Tags/Caption}}","text":"\\whitespace trim\n<$let tv-config-toolbar-icons=\"yes\" tv-config-toolbar-text=\"yes\" tv-config-toolbar-class=\"\">\n\t<div class=\"tc-tiny-v-gap-bottom\">\n\t\t{{$:/core/ui/Buttons/tag-manager}}\n\t</div>\n</$let>\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\t<div class=\"tc-tiny-v-gap-bottom\">\n\t\t<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\t</div>\n</$list>\n<hr class=\"tc-untagged-separator\">\n{{$:/core/ui/UntaggedTemplate}}\n"},"$:/core/ui/MoreSideBar/Types":{"title":"$:/core/ui/MoreSideBar/Types","tags":"$:/tags/MoreSideBar","caption":"{{$:/language/SideBar/Types/Caption}}","text":"\\whitespace trim\n<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"},"$:/core/ui/MoreSideBar/Plugins/Languages":{"title":"$:/core/ui/MoreSideBar/Plugins/Languages","tags":"$:/tags/MoreSideBar/Plugins","caption":"{{$:/language/ControlPanel/Plugins/Languages/Caption}}","text":"<$list filter=\"[!has[draft.of]plugin-type[language]sort[name]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"},"$:/core/ui/MoreSideBar/Plugins/Plugins":{"title":"$:/core/ui/MoreSideBar/Plugins/Plugins","tags":"$:/tags/MoreSideBar/Plugins","caption":"{{$:/language/ControlPanel/Plugins/Plugins/Caption}}","text":"<$list filter=\"[!has[draft.of]plugin-type[plugin]sort[name]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}>>/>\n"},"$:/core/ui/MoreSideBar/Plugins/Theme":{"title":"$:/core/ui/MoreSideBar/Plugins/Theme","tags":"$:/tags/MoreSideBar/Plugins","caption":"{{$:/language/ControlPanel/Plugins/Themes/Caption}}","text":"<$list filter=\"[!has[draft.of]plugin-type[theme]sort[name]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"},"$:/core/ui/Buttons/advanced-search":{"title":"$:/core/ui/Buttons/advanced-search","tags":"$:/tags/PageControls","caption":"{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}","description":"{{$:/language/Buttons/AdvancedSearch/Hint}}","text":"\\whitespace trim\n\\define advanced-search-button(class)\n\\whitespace trim\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<advanced-search-button>>>\n<<advanced-search-button \"tc-selected\">>\n</$list>\n"},"$:/core/ui/Buttons/close-all":{"title":"$:/core/ui/Buttons/close-all","tags":"$:/tags/PageControls","caption":"{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}","description":"{{$:/language/Buttons/CloseAll/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/CloseAll/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/control-panel":{"title":"$:/core/ui/Buttons/control-panel","tags":"$:/tags/PageControls","caption":"{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}","description":"{{$:/language/Buttons/ControlPanel/Hint}}","text":"\\whitespace trim\n\\define control-panel-button(class)\n\\whitespace trim\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list<tv-story-list>] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"},"$:/core/ui/Buttons/encryption":{"title":"$:/core/ui/Buttons/encryption","tags":"$:/tags/PageControls","caption":"{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}","description":"{{$:/language/Buttons/Encryption/Hint}}","text":"\\whitespace trim\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"},"$:/core/ui/Buttons/export-page":{"title":"$:/core/ui/Buttons/export-page","tags":"$:/tags/PageControls","caption":"{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}","description":"{{$:/language/Buttons/ExportPage/Hint}}","text":"<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"},"$:/core/ui/Buttons/fold-all":{"title":"$:/core/ui/Buttons/fold-all","tags":"$:/tags/PageControls","caption":"{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}","description":"{{$:/language/Buttons/FoldAll/Hint}}","text":"\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/FoldAll/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/full-screen":{"title":"$:/core/ui/Buttons/full-screen","tags":"$:/tags/PageControls","caption":"{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}","description":"{{$:/language/Buttons/FullScreen/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/FullScreen/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/home":{"title":"$:/core/ui/Buttons/home","tags":"$:/tags/PageControls","caption":"{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}","description":"{{$:/language/Buttons/Home/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Home/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/import":{"title":"$:/core/ui/Buttons/import","tags":"$:/tags/PageControls","caption":"{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}","description":"{{$:/language/Buttons/Import/Hint}}","text":"\\whitespace trim\n<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Import/Caption}}/>\n</span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"},"$:/core/ui/Buttons/language":{"title":"$:/core/ui/Buttons/language","tags":"$:/tags/PageControls","caption":"{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}","description":"{{$:/language/Buttons/Language/Hint}}","text":"\\whitespace trim\n\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/languageswitcher}}\n</div>\n</$reveal>\n"},"$:/core/ui/Buttons/layout":{"title":"$:/core/ui/Buttons/layout","tags":"$:/tags/PageControls","caption":"{{$:/core/images/layout-button}} {{$:/language/Buttons/LayoutSwitcher/Caption}}","description":"{{$:/language/LayoutSwitcher/Description}}","text":"\\whitespace trim\n<$button tooltip={{$:/language/Buttons/LayoutSwitcher/Hint}} aria-label={{$:/language/Buttons/LayoutSwitcher/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-show-switcher\" switch=\"layout\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/layout-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/LayoutSwitcher/Caption}}/></span>\n</$list>\n</$button>\n"},"$:/core/ui/Buttons/manager":{"title":"$:/core/ui/Buttons/manager","tags":"$:/tags/PageControls","caption":"{{$:/core/images/list}} {{$:/language/Buttons/Manager/Caption}}","description":"{{$:/language/Buttons/Manager/Hint}}","text":"\\whitespace trim\n\\define manager-button(class)\n\\whitespace trim\n<$button to=\"$:/Manager\" tooltip={{$:/language/Buttons/Manager/Hint}} aria-label={{$:/language/Buttons/Manager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Manager/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<manager-button>>>\n<<manager-button \"tc-selected\">>\n</$list>\n"},"$:/core/ui/Buttons/more-page-actions":{"title":"$:/core/ui/Buttons/more-page-actions","tags":"$:/tags/PageControls","caption":"{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}","description":"{{$:/language/Buttons/More/Hint}}","text":"\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"},"$:/core/ui/Buttons/network-activity":{"title":"$:/core/ui/Buttons/network-activity","tags":"$:/tags/PageControls","caption":"{{$:/core/images/network-activity}} {{$:/language/Buttons/NetworkActivity/Caption}}","description":"{{$:/language/Buttons/NetworkActivity/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-http-cancel-all-requests\" tooltip={{$:/language/Buttons/NetworkActivity/Hint}} aria-label={{$:/language/Buttons/NetworkActivity/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/network-activity}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NetworkActivity/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/new-image":{"title":"$:/core/ui/Buttons/new-image","tags":"$:/tags/PageControls","caption":"{{$:/core/images/new-image-button}} {{$:/language/Buttons/NewImage/Caption}}","description":"{{$:/language/Buttons/NewImage/Hint}}","text":"\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewImage/Hint}} aria-label={{$:/language/Buttons/NewImage/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-image}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-image-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewImage/Caption}}/>\n</span>\n</$list>\n</$button>\n"},"$:/core/ui/Buttons/new-journal":{"title":"$:/core/ui/Buttons/new-journal","tags":"$:/tags/PageControls","caption":"{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}","description":"{{$:/language/Buttons/NewJournal/Hint}}","text":"\\whitespace trim\n\\define journalButton()\n\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-journal}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournal/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<journalButton>>\n"},"$:/core/ui/Buttons/new-tiddler":{"title":"$:/core/ui/Buttons/new-tiddler","tags":"$:/tags/PageControls","caption":"{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}","description":"{{$:/language/Buttons/NewTiddler/Hint}}","text":"\\whitespace trim\n<$button actions={{$:/core/ui/Actions/new-tiddler}} tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewTiddler/Caption}}/>\n</span>\n</$list>\n</$button>\n"},"$:/core/ui/Buttons/palette":{"title":"$:/core/ui/Buttons/palette","tags":"$:/tags/PageControls","caption":"{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}","description":"{{$:/language/Buttons/Palette/Hint}}","text":"\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>\n"},"$:/core/ui/Buttons/print":{"title":"$:/core/ui/Buttons/print","tags":"$:/tags/PageControls","caption":"{{$:/core/images/print-button}} {{$:/language/Buttons/Print/Caption}}","description":"{{$:/language/Buttons/Print/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-print\" tooltip={{$:/language/Buttons/Print/Hint}} aria-label={{$:/language/Buttons/Print/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/print-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Print/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/refresh":{"title":"$:/core/ui/Buttons/refresh","tags":"$:/tags/PageControls","caption":"{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}","description":"{{$:/language/Buttons/Refresh/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Refresh/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/save-wiki":{"title":"$:/core/ui/Buttons/save-wiki","tags":"$:/tags/PageControls","caption":"{{$:/core/images/save-button-dynamic}} {{$:/language/Buttons/SaveWiki/Caption}}","description":"{{$:/language/Buttons/SaveWiki/Hint}}","text":"\\whitespace trim\n<$button tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/save-button-dynamic}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/SaveWiki/Caption}}/>\n</span>\n</$list>\n</span>\n</$button>"},"$:/core/ui/Buttons/storyview":{"title":"$:/core/ui/Buttons/storyview","tags":"$:/tags/PageControls","caption":"{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}","description":"{{$:/language/Buttons/StoryView/Hint}}","text":"\\whitespace trim\n\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/viewswitcher}}\n</div>\n</$reveal>\n"},"$:/core/ui/Buttons/tag-manager":{"title":"$:/core/ui/Buttons/tag-manager","tags":"$:/tags/PageControls","caption":"{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}","description":"{{$:/language/Buttons/TagManager/Hint}}","text":"\\whitespace trim\n\\define control-panel-button(class)\n\\whitespace trim\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/TagManager/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"},"$:/core/ui/Buttons/theme":{"title":"$:/core/ui/Buttons/theme","tags":"$:/tags/PageControls","caption":"{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}","description":"{{$:/language/Buttons/Theme/Hint}}","text":"\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n{{$:/snippets/themeswitcher}}\n</$linkcatcher>\n</div>\n</$reveal>\n"},"$:/core/ui/Buttons/timestamp":{"title":"$:/core/ui/Buttons/timestamp","tags":"$:/tags/PageControls","caption":"{{$:/core/images/timestamp-on}} {{$:/language/Buttons/Timestamp/Caption}}","description":"{{$:/language/Buttons/Timestamp/Hint}}","text":"\\whitespace trim\n<$reveal type=\"nomatch\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/On/Hint}} aria-label={{$:/language/Buttons/Timestamp/On/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"yes\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-on}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Timestamp/On/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/Off/Hint}} aria-label={{$:/language/Buttons/Timestamp/Off/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-off}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Timestamp/Off/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"},"$:/core/ui/Buttons/unfold-all":{"title":"$:/core/ui/Buttons/unfold-all","tags":"$:/tags/PageControls","caption":"{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}","description":"{{$:/language/Buttons/UnfoldAll/Hint}}","text":"\\whitespace trim\n<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/UnfoldAll/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/PageTemplate/pagecontrols":{"title":"$:/core/ui/PageTemplate/pagecontrols","text":"\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n</div>\n"},"$:/core/ui/PageStylesheet":{"title":"$:/core/ui/PageStylesheet","code-body":"yes","text":"\\import [subfilter{$:/core/config/GlobalImportFilter}]\n\\whitespace trim\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n"},"$:/core/ui/PageTemplate/alerts":{"title":"$:/core/ui/PageTemplate/alerts","tags":"$:/tags/PageTemplate","text":"<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"},"$:/core/ui/PageTemplate/drafts":{"title":"$:/core/ui/PageTemplate/drafts","tags":"$:/tags/PageTemplate","text":"\\whitespace trim\n<$reveal state=\"$:/status/IsReadOnly\" type=\"nomatch\" text=\"yes\" tag=\"div\" class=\"tc-drafts-list\">\n<$list filter=\"[has[draft.of]!sort[modified]] -[list[$:/StoryList]]\">\n<$link>\n{{$:/core/images/edit-button}} <$text text=<<currentTiddler>>/>\n</$link>\n</$list>\n</$reveal>\n"},"$:/core/ui/PageTemplate/pluginreloadwarning":{"title":"$:/core/ui/PageTemplate/pluginreloadwarning","tags":"$:/tags/PageTemplate","text":"\\define lingo-base() $:/language/\n\n<$list filter=\"[{$:/status/RequireReloadDueToPluginChange}match[yes]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"},"$:/core/ui/PageTemplate/sidebar":{"title":"$:/core/ui/PageTemplate/sidebar","tags":"$:/tags/PageTemplate","text":"\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"  tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"},"$:/core/ui/PageTemplate/story":{"title":"$:/core/ui/PageTemplate/story","tags":"$:/tags/PageTemplate","text":"\\whitespace trim\n<section class=\"tc-story-river\" role=\"main\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template=\"$:/core/ui/StoryTiddlerTemplate\" storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"},"$:/core/ui/PageTemplate/topleftbar":{"title":"$:/core/ui/PageTemplate/topleftbar","tags":"$:/tags/PageTemplate","text":"<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"},"$:/core/ui/PageTemplate/toprightbar":{"title":"$:/core/ui/PageTemplate/toprightbar","tags":"$:/tags/PageTemplate","text":"<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"},"$:/core/ui/PageTemplate":{"title":"$:/core/ui/PageTemplate","name":"{{$:/language/PageTemplate/Name}}","description":"{{$:/language/PageTemplate/Description}}","icon":"$:/core/images/layout-button","code-body":"yes","text":"\\whitespace trim\n\\import [subfilter{$:/core/config/GlobalImportFilter}]\n\n<$vars\n\ttv-config-toolbar-icons={{$:/config/Toolbar/Icons}}\n\ttv-config-toolbar-text={{$:/config/Toolbar/Text}}\n\ttv-config-toolbar-class={{$:/config/Toolbar/ButtonClass}}\n\ttv-enable-drag-and-drop={{$:/config/DragAndDrop/Enable}}\n\ttv-show-missing-links={{$:/config/MissingLinks}}\n\tstoryviewTitle={{$:/view}}\n\tlanguageTitle={{{ [{$:/language}get[name]] }}}>\n\n<div class={{{ [all[shadows+tiddlers]tag[$:/tags/ClassFilters/PageTemplate]!is[draft]] :map:flat[subfilter{!!text}] tc-page-container [[tc-page-view-]addsuffix<storyviewTitle>] [[tc-language-]addsuffix<languageTitle>] :and[unique[]join[ ]] }}} >\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n\n<$dropzone enable=<<tv-enable-drag-and-drop>> class=\"tc-dropzone tc-page-container-inner\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$vars>\n"},"$:/PaletteManager":{"title":"$:/PaletteManager","text":"\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n\\define edit-colour-placeholder()\n edit $(colourName)$\n\\end\n\\define colour-tooltip(showhide) $showhide$ editor for $(newColourName)$ \n\n\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\n\\define delete-colour-index-actions() <$action-setfield $index=<<colourName>>/>\n\\define palette-manager-colour-row-segment()\n\\whitespace trim\n<$edit-text index=<<colourName>> tag=\"input\" placeholder=<<edit-colour-placeholder>> default=\"\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\" class=\"tc-palette-manager-colour-input\"/>\n<$list filter=\"[<currentTiddler>getindex<colourName>removeprefix[<<]removesuffix[>>]] [<currentTiddler>getindex<colourName>removeprefix[<$]removesuffix[/>]]\" variable=\"ignore\">\n<$set name=\"state\" value={{{ [[$:/state/palettemanager/]addsuffix<currentTiddler>addsuffix[/]addsuffix<colourName>] }}}>\n<$wikify name=\"newColourName\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall={{{ [<currentTiddler>getindex<colourName>] }}}/>\"\"\">\n<$reveal state=<<state>> type=\"nomatch\" text=\"show\">\n<$button tooltip=<<colour-tooltip show>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" set=<<state>> setTo=\"show\">{{$:/core/images/down-arrow}}<$text text=<<newColourName>> class=\"tc-small-gap-left\"/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$button tooltip=<<colour-tooltip hide>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" actions=\"\"\"<$action-deletetiddler $tiddler=<<state>>/>\"\"\">{{$:/core/images/up-arrow}}<$text text=<<newColourName>> class=\"tc-small-gap-left\"/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$set name=\"colourName\" value=<<newColourName>>>\n<br>\n<<palette-manager-colour-row-segment>>\n<br><br>\n</$set>\n</$reveal>\n</$wikify>\n</$set>\n</$list>\n\\end\n\n\\define palette-manager-colour-row()\n\\whitespace trim\n<tr>\n<td>\n<span style=\"float:right;\">\n<$button tooltip={{$:/language/ControlPanel/Palette/Editor/Delete/Hint}} aria-label={{$:/language/ControlPanel/Palette/Editor/Delete/Hint}} class=\"tc-btn-invisible\" actions=<<delete-colour-index-actions>>>\n{{$:/core/images/delete-button}}</$button>\n</span>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<<palette-manager-colour-row-segment>>\n</td>\n</tr>\n\\end\n\n\\define palette-manager-table()\n\\whitespace trim\n<table>\n<tbody>\n<$set name=\"colorList\" filter=\"[{$:/state/palettemanager/showexternal}match[yes]]\"\n   value=\"[all[shadows+tiddlers]tag[$:/tags/Palette]indexes[]]\" emptyValue=\"[<currentTiddler>indexes[]]\">\n<$list filter=<<colorList>> variable=\"colourName\"> <<palette-manager-colour-row>> </$list>\n</$set>\n</tbody>\n</table>\n\\end\n\\whitespace trim\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>>&#32;<$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n&#32;\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<$checkbox tiddler=\"$:/state/palettemanager/showexternal\" field=\"text\" checked=\"yes\" unchecked=\"no\"><span class=\"tc-small-gap-left\"><<lingo Names/External/Show>></span></$checkbox>\n\n<<palette-manager-table>>\n"},"$:/core/ui/PluginInfo":{"title":"$:/core/ui/PluginInfo","text":"\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n\\define default-tiddler-title()\n$:/core/ui/PluginInfo/Default/$(currentTab)$\n\\end\n\\whitespace trim\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<default-tiddler-title>> mode=\"block\">\n{{$:/language/ControlPanel/Plugin/NoInfoFound/Hint}}\n</$transclude>\n</$transclude>\n</$transclude>\n</$transclude>\n"},"$:/core/ui/PluginInfo/Default/contents":{"title":"$:/core/ui/PluginInfo/Default/contents","text":"\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n\\whitespace trim\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link />\n</li>\n</$list>\n</ul>\n"},"$:/core/ui/PluginListItemTemplate":{"title":"$:/core/ui/PluginListItemTemplate","text":"\\whitespace trim\n<$link to={{!!title}} class=\"tc-plugin-info\">\n\t<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n\t\t<$transclude tiddler=<<currentTiddler>> subtiddler={{{ [<currentTiddler>addsuffix[/icon]] }}}>\n\t\t\t<$transclude tiddler={{{ [<currentTiddler>get[plugin-type]addprefix[$:/core/images/plugin-generic-]] }}}/>\n\t\t</$transclude>\n\t</div>\n\t<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n\t\t<h1>\n\t\t\t''<$text text={{{ [<currentTiddler>get[name]] ~[<currentTiddler>split[/]last[1]] }}}/>'':&nbsp;<$view field=\"description\"><$view field=\"title\"/></$view>\n\t\t</h1>\n\t</div>\n</$link>\n"},"$:/core/ui/RootTemplate":{"title":"$:/core/ui/RootTemplate","code-body":"yes","text":"<$transclude tiddler={{{ [{$:/layout}has[text]] ~[[$:/core/ui/PageTemplate]] }}} mode=\"inline\"/>\n\n"},"$:/core/ui/SearchResults":{"title":"$:/core/ui/SearchResults","text":"<div class=\"tc-search-results\">\n\n<$list\n\tfilter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\"\n\temptyMessage=\"<$list filter='[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]'><$transclude mode='block'/></$list>\">\n\n<$macrocall $name=\"tabs\"\n\ttabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\"\n\tdefault={{$:/config/SearchResults/Default}}\n\tactions=\"<$action-setfield $tiddler='$:/state/search/currentTab' text=<<currentTab>>/>\"\n\texplicitState=\"$:/state/tab/search-results/sidebar\"/>\n\n</$list>\n\n</div>\n"},"$:/core/ui/SideBar/More":{"title":"$:/core/ui/SideBar/More","tags":"$:/tags/SideBar","caption":"{{$:/language/SideBar/More/Caption}}","text":"\\whitespace trim\n<div class={{{ [{$:/config/ui/SideBar/More/horizontal}match[yes]then[tc-sidebar-tabs]else[tc-more-sidebar]] }}}>\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" default={{$:/config/DefaultMoreSidebarTab}} state=\"$:/state/tab/moresidebar\" class={{{ [{$:/config/ui/SideBar/More/horizontal}match[yes]then[tc-sidebar-tabs-more]else[tc-vertical tc-sidebar-tabs-more]] }}} explicitState=\"$:/state/tab/moresidebar-1850697562\"/>\n</div>\n"},"$:/core/ui/SideBar/Open":{"title":"$:/core/ui/SideBar/Open","tags":"$:/tags/SideBar","caption":"{{$:/language/SideBar/Open/Caption}}","text":"\\whitespace trim\n\\define lingo-base() $:/language/CloseAll/\n\n\\define drop-actions()\n<$action-listops $tiddler=<<tv-story-list>> $subfilter=\"+[insertbefore<actionTiddler>,<currentTiddler>]\"/>\n\\end\n\n\\define placeholder()\n<div class=\"tc-droppable-placeholder\"/>\n\\end\n\n\\define droppable-item(button)\n\\whitespace trim\n<$droppable actions=<<drop-actions>> enable=<<tv-allow-drag-and-drop>> tag=\"div\">\n<<placeholder>>\n<div>\n$button$\n</div>\n</$droppable>\n\\end\n\n<div class=\"tc-sidebar-tab-open\">\n<$list filter=\"[list<tv-story-list>]\" history=<<tv-history-list>> storyview=\"pop\">\n<div class=\"tc-sidebar-tab-open-item\">\n<$macrocall $name=\"droppable-item\" button=\"<$button message='tm-close-tiddler' tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class='tc-btn-invisible tc-btn-mini tc-small-gap-right'>{{$:/core/images/close-button}}</$button><$link/>\"/>\n</div>\n</$list>\n<$tiddler tiddler=\"\">\n<div>\n<$macrocall $name=\"droppable-item\" button=\"<$button message='tm-close-all-tiddlers' class='tc-btn-invisible tc-btn-mini'><<lingo Button>></$button>\"/>\n</div>\n</$tiddler>\n</div>\n"},"$:/core/ui/SideBar/Recent":{"title":"$:/core/ui/SideBar/Recent","tags":"$:/tags/SideBar","caption":"{{$:/language/SideBar/Recent/Caption}}","text":"<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"},"$:/core/ui/SideBar/Tools":{"title":"$:/core/ui/SideBar/Tools","tags":"$:/tags/SideBar","caption":"{{$:/language/SideBar/Tools/Caption}}","text":"\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"},"$:/core/ui/SideBarLists":{"title":"$:/core/ui/SideBarLists","text":"<$transclude tiddler=\"$:/core/ui/SideBarSegments/search\"/>\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\"/>\n\n"},"$:/core/ui/SideBarSegments/page-controls":{"title":"$:/core/ui/SideBarSegments/page-controls","tags":"$:/tags/SideBarSegment","text":"{{||$:/core/ui/PageTemplate/pagecontrols}}\n"},"$:/core/ui/SideBarSegments/search":{"title":"$:/core/ui/SideBarSegments/search","tags":"$:/tags/SideBarSegment","text":"\\whitespace trim\n\n\\define count-popup-button()\n\\whitespace trim\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$(searchTiddler)$}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$vars userInput={{{ [<searchTiddler>get[text]] }}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}} replaceRegexp=\"limit\\[\\d+\\]\">\n<$vars primaryListFilter={{{ [<configTiddler>get[first-search-filter]search-replace:g:regexp<replaceRegexp>,[]] }}} secondaryListFilter={{{ [<configTiddler>get[second-search-filter]search-replace:g:regexp<replaceRegexp>,[]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[subfilter<primaryListFilter>] [subfilter<secondaryListFilter>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$vars>\n</$vars>\n</$list>\n</$button>\n\\end\n\n\\define search-results-list()\n\\whitespace trim\n<$vars userInput={{$(searchTiddler)$}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}}>\n<$list filter=\"[<userInput>minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$tiddler tiddler=<<configTiddler>>>\n\n{{$:/core/ui/SearchResults}}\n\n</$tiddler>\n\n</$list>\n</$vars>\n\\end\n\n\\define cancel-search-actions() <$list filter=\"[<searchTiddler>get[text]!match{$:/temp/search}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/search]] [<searchTiddler>] [<searchListState>]\"/>\"\"\"><$action-setfield $tiddler=\"$:/temp/search\" text={{{ [<searchTiddler>get[text]] }}}/><$action-setfield $tiddler=\"$:/temp/search/refresh\" text=\"yes\"/></$list>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/sidebar\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/search/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define advanced-search-actions() <$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search/input}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/search/input}}/><<delete-state-tiddlers>><$action-navigate $to=\"$:/AdvancedSearch\"/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\" preventScroll=\"true\"/><$action-deletetiddler $filter=\"$:/temp/search $:/temp/search/input $:/temp/search/refresh [<searchListState>]\"/>\n\n<div class=\"tc-sidebar-lists tc-sidebar-search\">\n\n<$vars editTiddler=\"$:/temp/search\" searchTiddler=\"$:/temp/search/input\" searchListState=<<qualify \"$:/state/search-list/selected-item\">>>\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$keyboard key=\"((advanced-search-sidebar))\" actions=<<advanced-search-actions>>>\n<form class=\"tc-form-inline\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<editTiddler>> storeTitle=<<searchTiddler>> \n\t\tselectionStateTitle=<<searchListState>> refreshTitle=\"$:/temp/search/refresh\" type=\"search\" \n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> \n\t\tclass=\"tc-popup-handle\" filterMinLength={{$:/config/Search/MinLength}} inputCancelActions=<<cancel-search-actions>> \n\t\tinputAcceptActions=<<input-accept-actions>> inputAcceptVariantActions=<<input-accept-variant-actions>> cancelPopups=\"yes\" \n\t\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\"/>\n</form>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n<$reveal state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<<advanced-search-actions>>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>><$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n{{$:/core/images/close-button}}\n</$button>\n<<count-popup-button>>\n</$reveal>\n<$reveal state=<<searchTiddler>> type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<<search-results-list>>\n\n</$reveal>\n\n</$reveal>\n\n</$vars>\n\n</div>\n"},"$:/core/ui/SideBarSegments/site-subtitle":{"title":"$:/core/ui/SideBarSegments/site-subtitle","tags":"$:/tags/SideBarSegment","text":"<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"},"$:/core/ui/SideBarSegments/site-title":{"title":"$:/core/ui/SideBarSegments/site-title","tags":"$:/tags/SideBarSegment","text":"<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"},"$:/core/ui/SideBarSegments/tabs":{"title":"$:/core/ui/SideBarSegments/tabs","tags":"$:/tags/SideBarSegment","text":"<div class=\"tc-sidebar-lists tc-sidebar-tabs\" role=\"region\" aria-label={{$:/language/SideBar/Caption}}>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" class=\"tc-sidebar-tabs-main\" explicitState=\"$:/state/tab/sidebar--595412856\"/>\n\n</div>\n"},"$:/core/ui/StoryTiddlerTemplate":{"title":"$:/core/ui/StoryTiddlerTemplate","code-body":"yes","text":"<$transclude tiddler={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/StoryTiddlerTemplateFilter]!is[draft]get[text]] :and[has[title]else[$:/core/ui/ViewTemplate]] }}} />\n"},"$:/core/ui/SwitcherModal":{"title":"$:/core/ui/SwitcherModal","subtitle":"<$text text={{{[<switch>lookup[$:/language/Switcher/Subtitle/]]}}}/>","class":"tc-modal-centered","mask-closable":"yes","text":"<$tiddler tiddler={{{[<switch>lookup[$:/config/SwitcherTargets/]]}}}>\n\n\n<$transclude/>\n\n\n</$tiddler>"},"$:/TagManager":{"title":"$:/TagManager","icon":"$:/core/images/tag-button","color":"#bbb","text":"\\define lingo-base() $:/language/TagManager/\n\n\\define iconEditorTab(type)\n\\whitespace trim\n<$link to=\"\"><<lingo Icons/None>></$link>\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n\t<$link to={{!!title}}>\n\t\t<$transclude/> <$view field=\"title\"/>\n\t</$link>\n</$list>\n\\end\n\n\\define iconEditor(title)\n\\whitespace trim\n<div class=\"tc-drop-down-wrapper\">\n\t<$button popupTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} class=\"tc-btn-invisible tc-btn-dropdown\">\n\t\t{{$:/core/images/down-arrow}}\n\t</$button>\n\t<$reveal stateTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n\t\t<div class=\"tc-drop-down\">\n\t\t\t<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=<<__title__>> icon=<<navigateTo>>/>\"\"\">\n\t\t\t\t<<iconEditorTab type:\"!\">>\n\t\t\t\t<hr/>\n\t\t\t\t<<iconEditorTab type:\"\">>\n\t\t\t</$linkcatcher>\n\t\t</div>\n\t</$reveal>\n</div>\n\\end\n\n\\define toggleButton(state)\n\\whitespace trim\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"closed\" default=\"closed\">\n\t<$button setTitle=<<__state__>> setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n\t\t{{$:/core/images/info-button}}\n\t</$button>\n</$reveal>\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"open\" default=\"closed\">\n\t<$button setTitle=<<__state__>> setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n\t\t{{$:/core/images/info-button}}\n\t</$button>\n</$reveal>\n\\end\n\n\\whitespace trim\n<table class=\"tc-tag-manager-table\">\n<tbody>\n\t<tr>\n\t\t<th><<lingo Colour/Heading>></th>\n\t\t<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n\t\t<th><<lingo Count/Heading>></th>\n\t\t<th><<lingo Icon/Heading>></th>\n\t\t<th><<lingo Info/Heading>></th>\n\t</tr>\n\t<$list filter=\"[tags[]!is[system]sort[title]]\">\n\t\t<tr>\n\t\t\t<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n\t\t\t<td>{{||$:/core/ui/TagTemplate}}</td>\n\t\t\t<td><$count filter=\"[all[current]tagging[]]\"/></td>\n\t\t\t<td>\n\t\t\t\t<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n\t\t\t</td>\n\t\t\t<td>\n\t\t\t\t<$macrocall $name=\"toggleButton\" state={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} />\n\t\t\t</td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td></td>\n\t\t\t<td colspan=\"4\">\n\t\t\t\t<$reveal stateTitle={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} type=\"match\" text=\"open\" default=\"\">\n\t\t\t\t\t<table>\n\t\t\t\t\t\t<tbody>\n\t\t\t\t\t\t\t<tr>\n\t\t\t\t\t\t\t\t<td><<lingo Colour/Heading>></td>\n\t\t\t\t\t\t\t\t<td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td>\n\t\t\t\t\t\t\t</tr>\n\t\t\t\t\t\t\t<tr>\n\t\t\t\t\t\t\t\t<td><<lingo Icon/Heading>></td>\n\t\t\t\t\t\t\t\t<td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td>\n\t\t\t\t\t\t\t</tr>\n\t\t\t\t\t\t</tbody>\n\t\t\t\t\t</table>\n\t\t\t\t</$reveal>\n\t\t\t</td>\n\t\t</tr>\n\t</$list>\n\t<tr>\n\t\t<td></td>\n\t\t<td style=\"position:relative;\">\n\t\t\t{{$:/core/ui/UntaggedTemplate}}\n\t\t</td>\n\t\t<td>\n\t\t\t<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n\t\t</td>\n\t\t<td></td>\n\t\t<td></td>\n\t</tr>\n</tbody>\n</table>\n"},"$:/core/ui/TagPickerTagTemplate":{"title":"$:/core/ui/TagPickerTagTemplate","text":"\\whitespace trim\n<$button class=<<button-classes>> tag=\"a\" tooltip={{$:/language/EditTemplate/Tags/Add/Button/Hint}}>\n\t<$list filter=\"[<saveTiddler>minlength[1]]\">\n\t\t<$action-listops $tiddler=<<saveTiddler>> $field=<<tagField>> $subfilter=\"[<tag>]\"/>\n\t</$list>\n\t<$set name=\"currentTiddlerCSSEscaped\" value={{{ [<saveTiddler>escapecss[]] }}}>\n\t\t<$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-tagpicker-focus-selector>> preventScroll=\"true\"/>\n\t</$set>\n\t<<delete-tag-state-tiddlers>>\n\t<$list filter=\"[<refreshTitle>minlength[1]]\">\n\t\t<$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n\t</$list>\n\t<<actions>>\n\t<$set name=\"backgroundColor\"\n\t\tvalue={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerColourFilter]!is[draft]get[text]] }}}\n\t>\n\t\t<$wikify name=\"foregroundColor\"\n\t\t\ttext=\"\"\"<$macrocall $name=\"contrastcolour\" target=<<backgroundColor>> fallbackTarget=<<fallbackTarget>> colourA=<<colourA>> colourB=<<colourB>>/>\"\"\"\n\t\t>\n\t\t\t<span class=\"tc-tag-label tc-btn-invisible\"\n\t\t\t\tstyle=<<tag-pill-styles>>\n\t\t\t\tdata-tag-title=<<currentTiddler>>\n\t\t\t>\n\t\t\t\t{{||$:/core/ui/TiddlerIcon}}<$view field=\"title\" format=\"text\"/>\n\t\t\t</span>\n\t\t</$wikify>\n\t</$set>\n</$button>\n"},"$:/core/ui/TagTemplate":{"title":"$:/core/ui/TagTemplate","text":"\\whitespace trim\n<span class=\"tc-tag-list-item\" data-tag-title=<<currentTiddler>>>\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n\t<$macrocall $name=\"tag-pill-body\"\n\t\ttag=<<currentTiddler>>\n\t\ticon={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerIconFilter]!is[draft]get[text]] }}}\n\t\tcolour={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerColourFilter]!is[draft]get[text]] }}}\n\t\tpalette={{$:/palette}}\n\t\telement-tag=\"$button\"\n\t\telement-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter=\"[all[current]tagging[]]\" tag='span'\"\"\"\n\t/>\n\t<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down\">\n\t\t<$set name=\"tv-show-missing-links\" value=\"yes\">\n\t\t\t<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n\t\t</$set>\n\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n\t\t\t<$transclude tiddler=<<listItem>>/> \n\t\t</$list>\n\t\t<hr>\n\t\t<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n\t</$reveal>\n</$set>\n</span>\n"},"$:/core/ui/TiddlerFieldTemplate":{"title":"$:/core/ui/TiddlerFieldTemplate","text":"\\whitespace trim\n<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"},"$:/core/ui/TiddlerFields":{"title":"$:/core/ui/TiddlerFields","text":"\\whitespace trim\n<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"},"$:/core/ui/TiddlerIcon":{"title":"$:/core/ui/TiddlerIcon","text":"\\whitespace trim\n<$let tiddlerIcon={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerIconFilter]!is[draft]get[text]] }}}>\n<$list filter=\"[<tiddlerIcon>!is[blank]]\" variable=\"ignore\">\n<$transclude tiddler=<<tiddlerIcon>>/>\n</$list>\n</$let>\n"},"$:/core/ui/TiddlerInfo/Advanced/PluginInfo":{"title":"$:/core/ui/TiddlerInfo/Advanced/PluginInfo","tags":"$:/tags/TiddlerInfo/Advanced","text":"\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n\\whitespace trim\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"},"$:/core/ui/TiddlerInfo/Advanced/ShadowInfo":{"title":"$:/core/ui/TiddlerInfo/Advanced/ShadowInfo","tags":"$:/tags/TiddlerInfo/Advanced","text":"\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"},"$:/core/ui/TiddlerInfo/Advanced":{"title":"$:/core/ui/TiddlerInfo/Advanced","tags":"$:/tags/TiddlerInfo","caption":"{{$:/language/TiddlerInfo/Advanced/Caption}}","text":"<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$list>\n"},"$:/core/ui/TiddlerInfo/Fields":{"title":"$:/core/ui/TiddlerInfo/Fields","tags":"$:/tags/TiddlerInfo","caption":"{{$:/language/TiddlerInfo/Fields/Caption}}","text":"<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"},"$:/core/ui/TiddlerInfo/List":{"title":"$:/core/ui/TiddlerInfo/List","tags":"$:/tags/TiddlerInfo","caption":"{{$:/language/TiddlerInfo/List/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"},"$:/core/ui/TiddlerInfo/Listed":{"title":"$:/core/ui/TiddlerInfo/Listed","tags":"$:/tags/TiddlerInfo","caption":"{{$:/language/TiddlerInfo/Listed/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"},"$:/core/ui/TiddlerInfo/References":{"title":"$:/core/ui/TiddlerInfo/References","tags":"$:/tags/TiddlerInfo","caption":"{{$:/language/TiddlerInfo/References/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>"},"$:/core/ui/TiddlerInfo/Tagging":{"title":"$:/core/ui/TiddlerInfo/Tagging","tags":"$:/tags/TiddlerInfo","caption":"{{$:/language/TiddlerInfo/Tagging/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"},"$:/core/ui/TiddlerInfo/Tools":{"title":"$:/core/ui/TiddlerInfo/Tools","tags":"$:/tags/TiddlerInfo","caption":"{{$:/language/TiddlerInfo/Tools/Caption}}","text":"\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"},"$:/core/ui/TiddlerInfo":{"title":"$:/core/ui/TiddlerInfo","text":"\\whitespace trim\n<div style=\"position:relative;\">\n<div class=\"tc-tiddler-controls\" style=\"position:absolute;right:0;\">\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n</div>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>\n"},"$:/core/ui/TopBar/menu":{"title":"$:/core/ui/TopBar/menu","tags":"$:/tags/TopRightBar","text":"\\whitespace trim\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible tc-hide-sidebar-btn\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible tc-show-sidebar-btn\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"},"$:/core/ui/UntaggedTemplate":{"title":"$:/core/ui/UntaggedTemplate","text":"\\define lingo-base() $:/language/SideBar/\n\\whitespace trim\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n\t<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal class=\"tc-drop-down\" tag=\"div\" state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n\t<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</$reveal>\n"},"$:/core/ui/ViewTemplate/body/blank":{"title":"$:/core/ui/ViewTemplate/body/blank","text":"<!-- Intentionally blank -->\n"},"$:/core/ui/ViewTemplate/body/code":{"title":"$:/core/ui/ViewTemplate/body/code","text":"<$codeblock code={{{ [<currentTiddler>get[text]] }}} language={{{ [<currentTiddler>get[type]else[text/vnd.tiddlywiki]] }}}/>\n"},"$:/core/ui/ViewTemplate/body/default":{"title":"$:/core/ui/ViewTemplate/body/default","code-body":"yes","text":"<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n"},"$:/core/ui/ViewTemplate/body/import":{"title":"$:/core/ui/ViewTemplate/body/import","text":"\\define lingo-base() $:/language/Import/\n\n\\define confirmCancel()\n\\whitespace trim\n<$action-confirm $message={{$:/language/Import/Listing/Cancel/Warning}} >\n<$action-deletetiddler $tiddler=<<currentTiddler>>/>\n<$action-sendmessage $message=\"tm-close-tiddler\" title=<<currentTiddler>>/>\n</$action-confirm>\n\\end\n\n\\define buttons()\n\\whitespace trim\n<$button actions=<<confirmCancel>> ><<lingo Listing/Cancel/Caption>></$button>\n&#32;\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n&#32;\n<<lingo Listing/Preview>>&#32;<$select tiddler=\"$:/state/importpreviewtype\" default=\"$:/core/ui/ImportPreviews/Text\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ImportPreview]!has[draft.of]]\">\n<option value=<<currentTiddler>>>{{!!caption}}</option>\n</$list>\n</$select>\n\\end\n\\whitespace trim\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<<buttons>>\n\n{{||$:/core/ui/ImportListing}}\n\n<<buttons>>\n\n</div>\n\n</$list>\n"},"$:/core/ui/ViewTemplate/body/plugin":{"title":"$:/core/ui/ViewTemplate/body/plugin","text":"\\whitespace trim\n<div class=\"tc-tiddler-plugin-info\">\n<$let plugin-type={{!!plugin-type}}\n\tdefault-popup-state=\"yes\"\n\tqualified-state=<<qualify \"$:/state/plugin-info\">>\n>\n{{||$:/core/ui/Components/plugin-info}}\n</$let>\n</div>"},"$:/core/ui/ViewTemplate/body/rendered-plain-text":{"title":"$:/core/ui/ViewTemplate/body/rendered-plain-text","code-body":"yes","text":"\\whitespace trim\n<$wikify name=\"text\" text={{!!text}} type={{!!type}}>\n<$codeblock code=<<text>> language=\"css\"/>\n</$wikify>\n"},"$:/core/ui/ViewTemplate/body":{"title":"$:/core/ui/ViewTemplate/body","tags":"$:/tags/ViewTemplate","text":"\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View/Body]!is[draft]] [all[shadows+tiddlers]tag[$:/tags/Global/View/Body]!is[draft]]\n\n<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$transclude tiddler={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/ViewTemplateBodyFilter]!is[draft]get[text]] :and[!is[blank]else[$:/core/ui/ViewTemplate/body/default]] }}} />\n\n</$reveal>\n"},"$:/core/ui/ViewTemplate/classic":{"title":"$:/core/ui/ViewTemplate/classic","tags":"$:/tags/ViewTemplate $:/tags/EditTemplate","text":"\\define lingo-base() $:/language/ClassicWarning/\n\\whitespace trim\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"},"$:/core/ui/ViewTemplate/subtitle/modified":{"title":"$:/core/ui/ViewTemplate/subtitle/modified","tags":"$:/tags/ViewTemplate/Subtitle","text":"<$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>"},"$:/core/ui/ViewTemplate/subtitle/modifier":{"title":"$:/core/ui/ViewTemplate/subtitle/modifier","tags":"$:/tags/ViewTemplate/Subtitle","text":"<$link to={{!!modifier}}/>"},"$:/core/ui/ViewTemplate/subtitle":{"title":"$:/core/ui/ViewTemplate/subtitle","tags":"$:/tags/ViewTemplate","text":"\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate/Subtitle]!has[draft.of]]\" variable=\"subtitleTiddler\">\n<$transclude tiddler=<<subtitleTiddler>> mode=\"inline\"/><$list-join>&nbsp;</$list-join>\n</$list>\n</div>\n</$reveal>\n"},"$:/core/ui/ViewTemplate/tags":{"title":"$:/core/ui/ViewTemplate/tags","tags":"$:/tags/ViewTemplate","text":"\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>\n"},"$:/core/ui/ViewTemplate/title/default":{"title":"$:/core/ui/ViewTemplate/title/default","text":"\\whitespace trim\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n"},"$:/core/ui/ViewTemplate/title/system":{"title":"$:/core/ui/ViewTemplate/title/system","text":"\\whitespace trim\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text={{{ [<currentTiddler>removeprefix[$:/]] }}}/>\n</h2>"},"$:/core/ui/ViewTemplate/title":{"title":"$:/core/ui/ViewTemplate/title","tags":"$:/tags/ViewTemplate","text":"\\whitespace trim\n\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] :filter[lookup[$:/config/ViewToolbarButtons/Visibility/]!match[hide]]\" storyview=\"pop\" variable=\"listItem\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$list filter=\"[<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerIconFilter]!is[draft]get[text]] +[!is[blank]]\" variable=\"ignore\">\n<$let foregroundColor={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerColourFilter]!is[draft]get[text]] }}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n{{||$:/core/ui/TiddlerIcon}}\n</span>\n</$let>\n</$list>\n<$transclude tiddler={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/ViewTemplateTitleFilter]!is[draft]get[text]] :and[!is[blank]else[$:/core/ui/ViewTemplate/title/default]] }}} />\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfoSegment]!has[draft.of]] [[$:/core/ui/TiddlerInfo]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>> mode=\"block\"/></$list>\n\n</$reveal>\n</div>\n"},"$:/core/ui/ViewTemplate/unfold":{"title":"$:/core/ui/ViewTemplate/unfold","tags":"$:/tags/ViewTemplate","text":"\\whitespace trim\n<div class=\"tc-reveal\">\n<$list filter=\"[{$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar}match[show]]\" variable=\"ignore\">\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n</$list>\n<$list filter=\"[{$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar}match[show]] :else[<folded-state>get[text]match[hide]]\" variable=\"ignore\">\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$list>\n</div>"},"$:/core/ui/ViewTemplate":{"title":"$:/core/ui/ViewTemplate","code-body":"yes","text":"\\whitespace trim\n\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n\\define cancel-delete-tiddler-actions(message) <$action-sendmessage $message=\"tm-$message$-tiddler\"/>\n\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!is[draft]] [all[shadows+tiddlers]tag[$:/tags/Global/View]!is[draft]]\n<$vars storyTiddler=<<currentTiddler>> tiddlerInfoState=<<qualify \"$:/state/popup/tiddler-info\">>>\n<div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ [all[shadows+tiddlers]tag[$:/tags/ClassFilters/TiddlerTemplate]!is[draft]] :map:flat[subfilter{!!text}] tc-tiddler-frame tc-tiddler-view-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[shadow]is[tiddler]then[tc-tiddler-overridden-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}} role=\"article\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!is[draft]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n</$list>\n</div>\n</$vars>\n"},"$:/core/ui/Buttons/clone":{"title":"$:/core/ui/Buttons/clone","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}","description":"{{$:/language/Buttons/Clone/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Clone/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/close-others":{"title":"$:/core/ui/Buttons/close-others","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}","description":"{{$:/language/Buttons/CloseOthers/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/CloseOthers/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/close":{"title":"$:/core/ui/Buttons/close","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}","description":"{{$:/language/Buttons/Close/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Close/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/edit":{"title":"$:/core/ui/Buttons/edit","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}","description":"{{$:/language/Buttons/Edit/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Edit/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/export-tiddler":{"title":"$:/core/ui/Buttons/export-tiddler","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}","description":"{{$:/language/Buttons/ExportTiddler/Hint}}","text":"\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"},"$:/core/ui/Buttons/fold-bar":{"title":"$:/core/ui/Buttons/fold-bar","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/chevron-up}} {{$:/language/Buttons/Fold/FoldBar/Caption}}","description":"{{$:/language/Buttons/Fold/FoldBar/Hint}}","text":"<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"},"$:/core/ui/Buttons/fold-others":{"title":"$:/core/ui/Buttons/fold-others","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}","description":"{{$:/language/Buttons/FoldOthers/Hint}}","text":"\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/FoldOthers/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/fold":{"title":"$:/core/ui/Buttons/fold","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}","description":"{{$:/language/Buttons/Fold/Hint}}","text":"\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"},"$:/core/ui/Buttons/info":{"title":"$:/core/ui/Buttons/info","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}","description":"{{$:/language/Buttons/Info/Hint}}","text":"\\whitespace trim\n\\define button-content()\n\\whitespace trim\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Info/Caption}}/>\n</span>\n</$list>\n\\end\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"popup\">\n<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$reveal state=<<tiddlerInfoState>> type=\"match\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"yes\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=<<tiddlerInfoState>> type=\"nomatch\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n</$reveal>"},"$:/core/ui/Buttons/more-tiddler-actions":{"title":"$:/core/ui/Buttons/more-tiddler-actions","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}","description":"{{$:/language/Buttons/More/Hint}}","text":"\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"},"$:/core/ui/Buttons/new-here":{"title":"$:/core/ui/Buttons/new-here","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}","description":"{{$:/language/Buttons/NewHere/Hint}}","text":"\\whitespace trim\n\\define newHereActions()\n\\whitespace trim\n<$set name=\"tags\" filter=\"[<currentTiddler>] [enlist{$:/config/NewTiddler/Tags}]\">\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<tags>>/>\n</$set>\n\\end\n\\define newHereButton()\n\\whitespace trim\n<$button actions=<<newHereActions>> tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>\n"},"$:/core/ui/Buttons/new-journal-here":{"title":"$:/core/ui/Buttons/new-journal-here","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}","description":"{{$:/language/Buttons/NewJournalHere/Hint}}","text":"\\whitespace trim\n\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>\n</span>\n</$list>\n</$wikify>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set>\n</$set>\n</$set>\n"},"$:/core/ui/Buttons/open-window":{"title":"$:/core/ui/Buttons/open-window","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}","description":"{{$:/language/Buttons/OpenWindow/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/OpenWindow/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/permalink":{"title":"$:/core/ui/Buttons/permalink","tags":"$:/tags/ViewToolbar","caption":"{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}","description":"{{$:/language/Buttons/Permalink/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Permalink/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/core/ui/Buttons/permaview":{"title":"$:/core/ui/Buttons/permaview","tags":"$:/tags/ViewToolbar $:/tags/PageControls","caption":"{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}","description":"{{$:/language/Buttons/Permaview/Hint}}","text":"\\whitespace trim\n<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Permaview/Caption}}/>\n</span>\n</$list>\n</$button>"},"$:/DefaultTiddlers":{"title":"$:/DefaultTiddlers","text":"GettingStarted\n"},"$:/temp/advancedsearch":{"title":"$:/temp/advancedsearch","text":""},"$:/snippets/allfields":{"title":"$:/snippets/allfields","text":"\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''<$text text=<<__title__>>/>'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n\\whitespace trim\n<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[fields[]sort[title]]\" variable=\"listItem\">\n<$macrocall $name=\"renderfield\" title=<<listItem>>/>\n</$list>\n</tbody>\n</table>\n"},"$:/config/AnimationDuration":{"title":"$:/config/AnimationDuration","text":"400"},"$:/config/AutoFocus":{"title":"$:/config/AutoFocus","text":"title"},"$:/config/AutoSave":{"title":"$:/config/AutoSave","text":"yes"},"$:/config/BitmapEditor/Colour":{"title":"$:/config/BitmapEditor/Colour","text":"#444"},"$:/config/BitmapEditor/ImageSizes":{"title":"$:/config/BitmapEditor/ImageSizes","text":"[[62px 100px]] [[100px 62px]] [[124px 200px]] [[200px 124px]] [[248px 400px]] [[371px 600px]] [[400px 248px]] [[556px 900px]] [[600px 371px]] [[742px 1200px]] [[900px 556px]] [[1200px 742px]]"},"$:/config/BitmapEditor/LineWidth":{"title":"$:/config/BitmapEditor/LineWidth","text":"3px"},"$:/config/BitmapEditor/LineWidths":{"title":"$:/config/BitmapEditor/LineWidths","text":"0.25px 0.5px 1px 2px 3px 4px 6px 8px 10px 16px 20px 28px 40px 56px 80px"},"$:/config/BitmapEditor/Opacities":{"title":"$:/config/BitmapEditor/Opacities","text":"0.01 0.025 0.05 0.075 0.1 0.15 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 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+[!is[image]limit[1]then[$:/core/ui/ViewTemplate/body/code]]"},"$:/config/ViewTemplateBodyFilters/code-body":{"title":"$:/config/ViewTemplateBodyFilters/code-body","tags":"$:/tags/ViewTemplateBodyFilter","text":"[field:code-body[yes]then[$:/core/ui/ViewTemplate/body/code]]"},"$:/config/ViewTemplateBodyFilters/import":{"title":"$:/config/ViewTemplateBodyFilters/import","tags":"$:/tags/ViewTemplateBodyFilter","text":"[field:plugin-type[import]then[$:/core/ui/ViewTemplate/body/import]]"},"$:/config/ViewTemplateBodyFilters/plugin":{"title":"$:/config/ViewTemplateBodyFilters/plugin","tags":"$:/tags/ViewTemplateBodyFilter","text":"[has[plugin-type]then[$:/core/ui/ViewTemplate/body/plugin]]"},"$:/config/ViewTemplateBodyFilters/hide-body":{"title":"$:/config/ViewTemplateBodyFilters/hide-body","tags":"$:/tags/ViewTemplateBodyFilter","text":"[field:hide-body[yes]then[$:/core/ui/ViewTemplate/body/blank]]"},"$:/config/ViewTemplateBodyFilters/default":{"title":"$:/config/ViewTemplateBodyFilters/default","tags":"$:/tags/ViewTemplateBodyFilter","text":"[[$:/core/ui/ViewTemplate/body/default]]"},"$:/config/ViewTemplateTitleFilters/system":{"title":"$:/config/ViewTemplateTitleFilters/system","tags":"$:/tags/ViewTemplateTitleFilter","text":"[prefix[$:/]then[$:/core/ui/ViewTemplate/title/system]]"},"$:/config/ViewTemplateTitleFilters/default":{"title":"$:/config/ViewTemplateTitleFilters/default","tags":"$:/tags/ViewTemplateTitleFilter","text":"[[$:/core/ui/ViewTemplate/title/default]]"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions","text":"show"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar","text":"hide"},"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others":{"title":"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others","text":"hide"},"$:/config/shortcuts-mac/bold":{"title":"$:/config/shortcuts-mac/bold","text":"meta-B"},"$:/config/shortcuts-mac/italic":{"title":"$:/config/shortcuts-mac/italic","text":"meta-I"},"$:/config/shortcuts-mac/underline":{"title":"$:/config/shortcuts-mac/underline","text":"meta-U"},"$:/config/shortcuts-mac/new-image":{"title":"$:/config/shortcuts-mac/new-image","text":"ctrl-I"},"$:/config/shortcuts-mac/new-journal":{"title":"$:/config/shortcuts-mac/new-journal","text":"ctrl-J"},"$:/config/shortcuts-mac/new-tiddler":{"title":"$:/config/shortcuts-mac/new-tiddler","text":"ctrl-N"},"$:/config/shortcuts-mac/save-wiki":{"title":"$:/config/shortcuts-mac/save-wiki","text":"meta-S"},"$:/config/shortcuts-not-mac/bold":{"title":"$:/config/shortcuts-not-mac/bold","text":"ctrl-B"},"$:/config/shortcuts-not-mac/italic":{"title":"$:/config/shortcuts-not-mac/italic","text":"ctrl-I"},"$:/config/shortcuts-not-mac/underline":{"title":"$:/config/shortcuts-not-mac/underline","text":"ctrl-U"},"$:/config/shortcuts-not-mac/new-image":{"title":"$:/config/shortcuts-not-mac/new-image","text":"alt-I"},"$:/config/shortcuts-not-mac/new-journal":{"title":"$:/config/shortcuts-not-mac/new-journal","text":"alt-J"},"$:/config/shortcuts-not-mac/new-tiddler":{"title":"$:/config/shortcuts-not-mac/new-tiddler","text":"alt-N"},"$:/config/shortcuts/add-field":{"title":"$:/config/shortcuts/add-field","text":"enter"},"$:/config/shortcuts/advanced-search":{"title":"$:/config/shortcuts/advanced-search","text":"ctrl-shift-A"},"$:/config/shortcuts/advanced-search-sidebar":{"title":"$:/config/shortcuts/advanced-search-sidebar","text":"alt-Enter"},"$:/config/shortcuts/cancel-edit-tiddler":{"title":"$:/config/shortcuts/cancel-edit-tiddler","text":"escape"},"$:/config/shortcuts/change-sidebar-layout":{"title":"$:/config/shortcuts/change-sidebar-layout","text":"shift-alt-Down"},"$:/config/shortcuts/delete-field":{"title":"$:/config/shortcuts/delete-field","text":"shift-alt-D"},"$:/config/shortcuts/excise":{"title":"$:/config/shortcuts/excise","text":"ctrl-E"},"$:/config/shortcuts/sidebar-search":{"title":"$:/config/shortcuts/sidebar-search","text":"ctrl-shift-F"},"$:/config/shortcuts/heading-1":{"title":"$:/config/shortcuts/heading-1","text":"ctrl-1"},"$:/config/shortcuts/heading-2":{"title":"$:/config/shortcuts/heading-2","text":"ctrl-2"},"$:/config/shortcuts/heading-3":{"title":"$:/config/shortcuts/heading-3","text":"ctrl-3"},"$:/config/shortcuts/heading-4":{"title":"$:/config/shortcuts/heading-4","text":"ctrl-4"},"$:/config/shortcuts/heading-5":{"title":"$:/config/shortcuts/heading-5","text":"ctrl-5"},"$:/config/shortcuts/heading-6":{"title":"$:/config/shortcuts/heading-6","text":"ctrl-6"},"$:/config/shortcuts/input-accept":{"title":"$:/config/shortcuts/input-accept","text":"Enter"},"$:/config/shortcuts/input-accept-variant":{"title":"$:/config/shortcuts/input-accept-variant","text":"ctrl-Enter"},"$:/config/shortcuts/input-cancel":{"title":"$:/config/shortcuts/input-cancel","text":"Escape"},"$:/config/shortcuts/input-down":{"title":"$:/config/shortcuts/input-down","text":"Down"},"$:/config/shortcuts/input-tab-left":{"title":"$:/config/shortcuts/input-tab-left","text":"alt-ctrl-Left"},"$:/config/shortcuts/input-tab-right":{"title":"$:/config/shortcuts/input-tab-right","text":"alt-ctrl-Right"},"$:/config/shortcuts/input-up":{"title":"$:/config/shortcuts/input-up","text":"Up"},"$:/config/shortcuts/layout-switcher":{"title":"$:/config/shortcuts/layout-switcher","text":"ctrl-shift-L"},"$:/config/shortcuts/link":{"title":"$:/config/shortcuts/link","text":"ctrl-L"},"$:/config/shortcuts/linkify":{"title":"$:/config/shortcuts/linkify","text":"alt-shift-L"},"$:/config/shortcuts/list-bullet":{"title":"$:/config/shortcuts/list-bullet","text":"ctrl-shift-L"},"$:/config/shortcuts/list-number":{"title":"$:/config/shortcuts/list-number","text":"ctrl-shift-N"},"$:/config/shortcuts/mono-block":{"title":"$:/config/shortcuts/mono-block","text":"ctrl-shift-M"},"$:/config/shortcuts/mono-line":{"title":"$:/config/shortcuts/mono-line","text":"ctrl-M"},"$:/config/shortcuts/picture":{"title":"$:/config/shortcuts/picture","text":"ctrl-shift-I"},"$:/config/shortcuts/preview":{"title":"$:/config/shortcuts/preview","text":"alt-P"},"$:/config/shortcuts/quote":{"title":"$:/config/shortcuts/quote","text":"ctrl-Q"},"$:/config/shortcuts/save-tiddler":{"title":"$:/config/shortcuts/save-tiddler","text":"ctrl+enter"},"$:/config/shortcuts/save-wiki":{"title":"$:/config/shortcuts/save-wiki","text":"ctrl-S"},"$:/config/shortcuts/stamp":{"title":"$:/config/shortcuts/stamp","text":"ctrl-S"},"$:/config/shortcuts/strikethrough":{"title":"$:/config/shortcuts/strikethrough","text":"ctrl-T"},"$:/config/shortcuts/subscript":{"title":"$:/config/shortcuts/subscript","text":"ctrl-shift-B"},"$:/config/shortcuts/superscript":{"title":"$:/config/shortcuts/superscript","text":"ctrl-shift-P"},"$:/config/shortcuts/toggle-sidebar":{"title":"$:/config/shortcuts/toggle-sidebar","text":"alt-shift-S"},"$:/config/shortcuts/transcludify":{"title":"$:/config/shortcuts/transcludify","text":"alt-shift-T"},"$:/config/ui/EditTemplate":{"title":"$:/config/ui/EditTemplate","text":"$:/core/ui/EditTemplate"},"$:/config/ui/ViewTemplate":{"title":"$:/config/ui/ViewTemplate","text":"$:/core/ui/ViewTemplate"},"$:/config/WikiParserRules/Inline/wikilink":{"title":"$:/config/WikiParserRules/Inline/wikilink","text":"disable"},"$:/snippets/currpalettepreview":{"title":"$:/snippets/currpalettepreview","text":"\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch-inner()\n\\whitespace trim\n<$set name=\"swatchColour\" value={{##$(colourResolved)$}}>\n<$list filter=\"[<swatchColour>!prefix[<<colour ]!suffix[>>]]\" variable=\"ignore\">\n<div class=\"tc-swatch\" style=<<swatchStyle>> title=<<swatchTitle>>/>\n&#32;\n</$list>\n<$list filter=\"[<swatchColour>prefix[<<colour ]suffix[>>]]\" variable=\"ignore\">\n<$wikify name=\"colourResolved\" text=\"<$macrocall $name='resolve-colour' macrocall=<<swatchColour>>/>\">\n<<swatch-inner>>\n</$wikify>\n</$list>\n</$set>\n\\end\n\\define swatch()\n\\whitespace trim\n<$set name=\"swatchColour\" value={{##$(colour)$}}>\n<$set name=\"swatchTitle\" value=<<colour>>>\n<$list filter=\"[<swatchColour>!prefix[<<colour ]!suffix[>>]]\" variable=\"ignore\">\n<div class=\"tc-swatch\" style=<<swatchStyle>> title=<<swatchTitle>>/>\n&#32;\n</$list>\n<$list filter=\"[<swatchColour>prefix[<<colour ]suffix[>>]]\" variable=\"ignore\">\n<$wikify name=\"colourResolved\" text=\"<$macrocall $name='resolve-colour' macrocall=<<swatchColour>>/>\">\n<<swatch-inner>>\n</$wikify>\n</$list>\n</$set>\n</$set>\n\\end\n\\whitespace trim\n<div class=\"tc-swatches-horiz\"><$list filter=\"\nforeground\nbackground\nmuted-foreground\nprimary\npage-background\ntab-background\ntiddler-info-background\n\" variable=\"colour\"><<swatch>></$list></div>\n"},"$:/snippets/DebugStylesheets":{"title":"$:/snippets/DebugStylesheets","text":"\\whitespace trim\n<style>[test]{list-style:'❌'}</style>\n<ul>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]has[modified]]\" counter=\"n\">\n<style>{{!!text}}[test=\"<<n>>\"]{list-style:disc;}</style>\n<li test=<<n>>><$link/></li>\n</$list>\n</ul>\n"},"$:/snippets/download-wiki-button":{"title":"$:/snippets/download-wiki-button","text":"\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n\\whitespace trim\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>>&#32;{{$:/core/images/save-button-dynamic}}\n</$button>"},"$:/language":{"title":"$:/language","text":"$:/languages/en-GB"},"$:/snippets/languageswitcher":{"title":"$:/snippets/languageswitcher","text":"\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n\\whitespace trim\n\n<$linkcatcher to=\"$:/language\">\n<div class=\"tc-chooser tc-language-chooser\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/language}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n&#32;\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"},"$:/core/macros/CSS":{"title":"$:/core/macros/CSS","tags":"$:/tags/Macro","text":"\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"><$transclude tiddler=\"$:/config/DefaultColourMappings/$name$\"/></$transclude></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n  -webkit-box-shadow: $shadow$;\n     -moz-box-shadow: $shadow$;\n          box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n  -webkit-filter: $filter$;\n     -moz-filter: $filter$;\n          filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n  -webkit-transition: $transition$;\n     -moz-transition: $transition$;\n          transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n  -webkit-transform-origin: $origin$;\n     -moz-transform-origin: $origin$;\n          transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define column-count(columns)\n``\n-moz-column-count: $columns$;\n-webkit-column-count: $columns$;\ncolumn-count: $columns$;\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}} _canonical_uri={{$title$!!_canonical_uri}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-background-attachment(text)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" type=\"nomatch\" text=\"\">$text$</$reveal>\n\\end\n"},"$:/core/macros/colour-picker":{"title":"$:/core/macros/colour-picker","tags":"$:/tags/Macro","text":"\\define colour-picker-update-recent()\n<$action-listops\n\t$tiddler=\"$:/config/ColourPicker/Recent\"\n\t$subfilter=\"$(colour-picker-value)$ [list[$:/config/ColourPicker/Recent]remove[$(colour-picker-value)$]] +[limit[8]]\"\n/>\n\\end\n\n\\define colour-picker-inner(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(colour-picker-value)$\"\"\">\n\n$(colour-picker-update-recent)$\n\n<$transclude $variable=\"__actions__\"/>\n\n<span style=\"display:inline-block; background-color: $(colour-picker-value)$; width: 100%; height: 100%; border-radius: 50%;\"/>\n\n</$button>\n\\end\n\n\\define colour-picker-recent-inner(actions)\n\\whitespace trim\n<$set name=\"colour-picker-value\" value=\"$(recentColour)$\">\n<$macrocall $name=\"colour-picker-inner\" actions=<<__actions__>>/>\n</$set>\n\\end\n\n\\define colour-picker-recent(actions)\n\\whitespace trim\n{{$:/language/ColourPicker/Recent}}<$list filter=\"[list[$:/config/ColourPicker/Recent]]\" variable=\"recentColour\">\n&#32;\n<$macrocall $name=\"colour-picker-recent-inner\" actions=<<__actions__>>/>\n</$list>\n\\end\n\n\\define colour-picker(actions)\n\\whitespace trim\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker-recent\" actions=<<__actions__>>/>\n\n---\n\n<$list filter=\"LightPink Pink Crimson LavenderBlush PaleVioletRed HotPink DeepPink MediumVioletRed Orchid Thistle Plum Violet Magenta Fuchsia DarkMagenta Purple MediumOrchid DarkViolet DarkOrchid Indigo BlueViolet MediumPurple MediumSlateBlue SlateBlue DarkSlateBlue Lavender GhostWhite Blue MediumBlue MidnightBlue DarkBlue Navy RoyalBlue CornflowerBlue LightSteelBlue LightSlateGrey SlateGrey DodgerBlue AliceBlue SteelBlue LightSkyBlue SkyBlue DeepSkyBlue LightBlue PowderBlue CadetBlue Azure LightCyan PaleTurquoise Cyan Aqua DarkTurquoise DarkSlateGrey DarkCyan Teal MediumTurquoise LightSeaGreen Turquoise Aquamarine MediumAquamarine MediumSpringGreen MintCream SpringGreen MediumSeaGreen SeaGreen Honeydew LightGreen PaleGreen DarkSeaGreen LimeGreen Lime ForestGreen Green DarkGreen Chartreuse LawnGreen GreenYellow DarkOliveGreen YellowGreen OliveDrab Beige LightGoldenrodYellow Ivory LightYellow Yellow Olive DarkKhaki LemonChiffon PaleGoldenrod Khaki Gold Cornsilk Goldenrod DarkGoldenrod FloralWhite OldLace Wheat Moccasin Orange PapayaWhip BlanchedAlmond NavajoWhite AntiqueWhite Tan BurlyWood Bisque DarkOrange Linen Peru PeachPuff SandyBrown Chocolate SaddleBrown Seashell Sienna LightSalmon Coral OrangeRed DarkSalmon Tomato MistyRose Salmon Snow LightCoral RosyBrown IndianRed Red Brown FireBrick DarkRed Maroon White WhiteSmoke Gainsboro LightGrey Silver DarkGrey Grey DimGrey Black\" variable=\"colour-picker-value\">\n&#32;\n<$macrocall $name=\"colour-picker-inner\" actions=<<__actions__>>/>\n</$list>\n\n---\n\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" tag=\"input\" default=\"\" placeholder=\"\"/>\n&#32;\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" type=\"color\" tag=\"input\"/>\n<$set name=\"colour-picker-value\" value={{$:/config/ColourPicker/New}}>\n<$macrocall $name=\"colour-picker-inner\" actions=<<__actions__>>/>\n</$set>\n\n</div>\n\n\\end\n"},"$:/core/macros/copy-to-clipboard":{"title":"$:/core/macros/copy-to-clipboard","tags":"$:/tags/Macro","text":"\\define copy-to-clipboard(src,class:\"tc-btn-invisible\",style)\n\\whitespace trim\n<$button class=<<__class__>> style=<<__style__>> message=\"tm-copy-to-clipboard\" param=<<__src__>> tooltip={{$:/language/Buttons/CopyToClipboard/Hint}}>\n{{$:/core/images/copy-clipboard}}\n&#32;\n<$text text={{$:/language/Buttons/CopyToClipboard/Caption}}/>\n</$button>\n\\end\n\n\\define copy-to-clipboard-above-right(src,class:\"tc-btn-invisible\",style)\n\\whitespace trim\n<div style=\"position: relative;\">\n<div style=\"position: absolute; bottom: 0; right: 0;\">\n<$macrocall $name=\"copy-to-clipboard\" src=<<__src__>> class=<<__class__>> style=<<__style__>>/>\n</div>\n</div>\n\\end\n"},"$:/core/macros/diff":{"title":"$:/core/macros/diff","tags":"$:/tags/Macro","text":"\\define compareTiddlerText(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle)\n\\whitespace trim\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>>>\n<$diff-text source=<<source>> dest=<<dest>>/>\n</$set>\n</$set>\n\\end\n\n\\define compareTiddlers(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle,exclude)\n\\whitespace trim\n<table class=\"tc-diff-tiddlers\">\n<tbody>\n<$set name=\"sourceFields\" filter=\"[<__sourceTiddlerTitle__>fields[]sort[]]\">\n<$set name=\"destFields\" filter=\"[<__destSubTiddlerTitle__>subtiddlerfields<__destTiddlerTitle__>sort[]]\">\n<$list filter=\"[enlist<sourceFields>] [enlist<destFields>] -[enlist<__exclude__>] +[sort[]]\" variable=\"fieldName\">\n<tr>\n<th>\n<$text text=<<fieldName>>/>\n</th>\n<td>\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>> field=<<fieldName>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>> field=<<fieldName>>>\n<$diff-text source=<<source>> dest=<<dest>>>&#32;</$diff-text>\n</$set>\n</$set>\n</td>\n</tr>\n</$list>\n</$set>\n</$set>\n</tbody>\n</table>\n\\end\n"},"$:/core/macros/dumpvariables":{"title":"$:/core/macros/dumpvariables","tags":"$:/tags/Macro","text":"\\define dumpvariables()\n\\whitespace trim\n<ul>\n<$list filter=\"[variables[]]\" variable=\"varname\">\n<li>\n<strong><code><$text text=<<varname>>/></code></strong>:<br/>\n<$codeblock code={{{ [<varname>getvariable[]] }}}/>\n</li>\n</$list>\n</ul>\n\\end\n"},"$:/core/macros/export":{"title":"$:/core/macros/export","tags":"$:/tags/Macro","text":"\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n\\whitespace trim\n<$vars hint={{{ [<__lingoBase__>addsuffix[Hint]get[text]] }}} caption={{{  [<__lingoBase__>addsuffix[Caption]get[text]] }}}>\n<span class=\"tc-popup-keep\"><$button popup=<<qualify \"$:/state/popup/export\">> tooltip=<<hint>> aria-label=<<caption>> class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text=<<caption>>/></span>\n</$list>\n</$button></span></$vars><$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$set name=\"count\" value={{{ [subfilter<__exportFilter__>count[]] }}}>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$list filter=\"[<currentTiddler>has[condition]subfilter{!!condition}limit[1]] ~[<currentTiddler>!has[condition]then[true]]\" variable=\"ignore\">\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=<<__exportFilter__>> filename={{{ [<__baseFilename__>addsuffix{!!extension}] }}}/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$list>\n</$list>\n</$set>\n</div>\n</$reveal>\n\\end\n"},"$:/core/macros/image-picker":{"title":"$:/core/macros/image-picker","created":"20170715180840889","modified":"20170715180914005","tags":"$:/tags/Macro","type":"text/vnd.tiddlywiki","text":"\\define image-picker-thumbnail(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(imageTitle)$\"\"\"><$transclude $variable=\"__actions__\"/><$transclude tiddler=<<imageTitle>>/></$button>\n\\end\n\n\\define image-picker-list(filter,actions)\n\\whitespace trim\n<$list filter=\"\"\"$filter$\"\"\" variable=\"imageTitle\">\n<$macrocall $name=\"image-picker-thumbnail\" actions=<<__actions__>>/>\n&#32;\n</$list>\n\\end\n\n\\define image-picker(actions,filter:\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[!has[draft.of]$subfilter$sort[title]]\",subfilter:\"\")\n\\whitespace trim\n<div class=\"tc-image-chooser\">\n<$vars state-system=<<qualify \"$:/state/image-picker/system\">>>\n<$checkbox tiddler=<<state-system>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"hide\">\n&#32;\n{{$:/language/SystemTiddlers/Include/Prompt}}\n</$checkbox>\n<$reveal state=<<state-system>> type=\"match\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$ +[!is[system]]\"\"\" actions=<<__actions__>>/>\n</$reveal>\n<$reveal state=<<state-system>> type=\"nomatch\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$\"\"\" actions=<<__actions__>>/>\n</$reveal>\n</$vars>\n</div>\n\\end\n\n\\define image-picker-include-tagged-images(actions)\n<$macrocall $name=\"image-picker\" filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[!has[draft.of]sort[title]]\" actions=<<__actions__>>/>\n\\end\n"},"$:/core/macros/keyboard-driven-input":{"title":"$:/core/macros/keyboard-driven-input","tags":"$:/tags/Macro","text":"\\define change-input-tab(stateTitle,tag,beforeafter,defaultState,actions)\n\\whitespace trim\n<$set name=\"tabsList\" filter=\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]]\">\n\t<$let\n\t\tcurrentState={{{ [<__stateTitle__>!is[missing]get[text]] ~[<__defaultState__>] }}}\n\t\tfirstTab={{{ [enlist<tabsList>nth[1]] }}}\n\t\tlastTab={{{ [enlist<tabsList>last[]] }}}\n\t\tnextTab={{{ [all[shadows+tiddlers]tag<__tag__>!has[draft.of]$beforeafter$<currentState>] ~[[$beforeafter$]removeprefix[after]suffix[]addprefix<firstTab>] ~[[$beforeafter$]removeprefix[before]suffix[]addprefix<lastTab>] }}}\n\t>\n\t\t<$action-setfield $tiddler=<<__stateTitle__>> text=<<nextTab>>/>\n\t\t$actions$\n\t</$let>\n</$set>\n\\end\n\n\\define keyboard-input-actions()\n\\whitespace trim\n<$list filter=\"[<__index__>match[]]\">\n\t<$action-setfield $tiddler=<<__storeTitle__>> text={{{ [<__tiddler__>get<__field__>] }}}/>\n</$list>\n<$list filter=\"[<__index__>!match[]]\">\n\t<$action-setfield $tiddler=<<__storeTitle__>> text={{{ [<__tiddler__>getindex<__index__>] }}}/>\n</$list>\n\\end\n\n\\define input-next-actions-inner()\n\\whitespace trim\n<$list filter=\"[<nextItem>minlength[1]]\" variable=\"ignore\">\n\t<$action-setfield $tiddler=<<__selectionStateTitle__>> text=<<nextItem>>/>\n\t<$list filter=\"[<__index__>match[]]\">\n\t\t<$action-setfield $tiddler=<<__tiddler__>> $field=<<__field__>> $value={{{ [<nextItem>] +[splitregexp[(?:.(?!-))+$]] }}}/>\n\t</$list>\n\t<$list filter=\"[<__index__>!match[]]\">\n\t\t<$action-setfield $tiddler=<<__tiddler__>> $index=<<__index__>> $value={{{ [<nextItem>] +[splitregexp[(?:.(?!-))+$]] }}}/>\n\t</$list>\n\t<$action-setfield $tiddler=<<__refreshTitle__>> text=\"yes\"/>\n</$list>\n\\end\n\n\\define input-next-actions(afterOrBefore:\"after\",reverse:\"\")\n\\whitespace trim\n<$list\n\tfilter=\"[<__storeTitle__>get[text]minlength<__filterMinLength__>] [<__filterMinLength__>match[0]] +[limit[1]]\"\n\tvariable=\"ignore\"\n>\n\t<$let\n\t\tuserInput={{{ [<__storeTitle__>get[text]] }}}\n\t\tselectedItem={{{ [<__selectionStateTitle__>get[text]] }}}\n\t\tconfigTiddler={{{ [subfilter<__configTiddlerFilter__>] }}}\n\t\tprimaryListFilter={{{ [<configTiddler>get<__firstSearchFilterField__>] }}}\n\t\tsecondaryListFilter={{{ [<configTiddler>get<__secondSearchFilterField__>] }}}\n\t>\n\t\t<$set\n\t\t\tname=\"filteredList\"\n\t\t\tfilter=\"[subfilter<primaryListFilter>addsuffix[-primaryList]] =[subfilter<secondaryListFilter>addsuffix[-secondaryList]]\"\n\t\t>\n\t\t\t<$let\n\t\t\t\tnextItem={{{ [enlist<filteredList>$afterOrBefore$<selectedItem>] ~[enlist<filteredList>$reverse$nth[1]] }}}\n\t\t\t\tfirstItem={{{ [enlist<filteredList>nth[1]] }}}\n\t\t\t\tlastItem={{{ [enlist<filteredList>last[]] }}}\n\t\t\t>\n\t\t\t\t<$list filter=\"[<selectedItem>match<firstItem>!match<lastItem>]\" variable=\"ignore\">\n\t\t\t\t\t<$set name=\"nextItem\" value={{{ [[$afterOrBefore$]match[before]then<userInput>addsuffix[-userInput]] ~[<nextItem>] }}}>\n\t\t\t\t\t\t<<input-next-actions-inner>>\n\t\t\t\t\t</$set>\n\t\t\t\t</$list>\n\t\t\t\t<$list filter=\"[<selectedItem>match<lastItem>!match<firstItem>]\" variable=\"ignore\">\n\t\t\t\t\t<$set name=\"nextItem\" value={{{ [[$afterOrBefore$]match[after]then<userInput>addsuffix[-userInput]] ~[<nextItem>] }}}>\n\t\t\t\t\t\t<<input-next-actions-inner>>\n\t\t\t\t\t</$set>\n\t\t\t\t</$list>\n\t\t\t\t<$list filter=\"[<selectedItem>match<firstItem>match<lastItem>]\" variable=\"ignore\">\n\t\t\t\t\t<$set name=\"nextItem\" value={{{ [<userInput>addsuffix[-userInput]] }}}>\n\t\t\t\t\t\t<<input-next-actions-inner>>\n\t\t\t\t\t</$set>\n\t\t\t\t</$list>\n\t\t\t\t<$list filter=\"[<selectedItem>!match<firstItem>!match<lastItem>]\" variable=\"ignore\">\n\t\t\t\t\t<<input-next-actions-inner>>\n\t\t\t\t</$list>\n\t\t\t</$let>\n\t\t</$set>\n\t</$let>\n</$list>\n\\end\n\n\\define keyboard-driven-input(tiddler,storeTitle,field:\"text\",index:\"\",tag:\"input\",type,focus:\"\",inputAcceptActions,inputAcceptVariantActions,inputCancelActions,placeholder:\"\",default:\"\",class,focusPopup,rows,minHeight,tabindex,size,autoHeight,filterMinLength:\"0\",refreshTitle,selectionStateTitle,cancelPopups:\"\",configTiddlerFilter,firstSearchFilterField:\"first-search-filter\",secondSearchFilterField:\"second-search-filter\")\n\\whitespace trim\n<$keyboard key=\"((input-accept))\" actions=<<__inputAcceptActions__>>>\n<$keyboard key=\"((input-accept-variant))\" actions=<<__inputAcceptVariantActions__>>>\n<$keyboard key=\"((input-up))\" actions=<<input-next-actions \"before\" \"reverse[]\">>>\n<$keyboard key=\"((input-down))\" actions=<<input-next-actions>>>\n<$keyboard key=\"((input-cancel))\" actions=<<__inputCancelActions__>>>\n\t<$edit-text\n\t\ttiddler=<<__tiddler__>> field=<<__field__>> index=<<__index__>>\n\t\tinputActions=<<keyboard-input-actions>> tag=<<__tag__>> class=<<__class__>>\n\t\tplaceholder=<<__placeholder__>> default=<<__default__>> focusPopup=<<__focusPopup__>>\n\t\tfocus=<<__focus__>> type=<<__type__>> rows=<<__rows__>> minHeight=<<__minHeight__>>\n\t\ttabindex=<<__tabindex__>> size=<<__size__>> autoHeight=<<__autoHeight__>>\n\t\trefreshTitle=<<__refreshTitle__>> cancelPopups=<<__cancelPopups__>>\n\t/>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n\\end\n"},"$:/core/macros/lingo":{"title":"$:/core/macros/lingo","tags":"$:/tags/Macro","text":"\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"},"$:/core/macros/list":{"title":"$:/core/macros/list","tags":"$:/tags/Macro","text":"\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\",emptyMessage,field:\"caption\")\n\\whitespace trim\n<$genesis $type=<<__type__>> class=<<__class__>>>\n\t<$list filter=<<__filter__>> emptyMessage=<<__emptyMessage__>>>\n\t\t<$genesis $type=<<__subtype__>>>\n\t\t\t<$link to={{!!title}}>\n\t\t\t\t<$let tv-wikilinks=\"no\">\n\t\t\t\t\t<$transclude field=<<__field__>>>\n\t\t\t\t\t\t<$view field=\"title\"/>\n\t\t\t\t\t</$transclude>\n\t\t\t\t</$let>\n\t\t\t</$link>\n\t\t</$genesis>\n\t</$list>\n</$genesis>\n\\end\n\n\\define list-links-draggable-drop-actions()\n<$action-listops $tiddler=<<targetTiddler>> $field=<<targetField>> $subfilter=\"+[insertbefore<actionTiddler>,<currentTiddler>]\"/>\n\\end\n\n\\define list-links-draggable(tiddler,field:\"list\",emptyMessage,type:\"ul\",subtype:\"li\",class:\"\",itemTemplate)\n\\whitespace trim\n<span class=\"tc-links-draggable-list\">\n\t<$vars targetTiddler=\"\"\"$tiddler$\"\"\" targetField=\"\"\"$field$\"\"\">\n\t\t<$genesis $type=<<__type__>> class=\"$class$\">\n\t\t\t<$list filter=\"[list[$tiddler$!!$field$]]\" emptyMessage=<<__emptyMessage__>>>\n\t\t\t\t<$droppable\n\t\t\t\t\tactions=<<list-links-draggable-drop-actions>>\n\t\t\t\t\ttag=\"\"\"$subtype$\"\"\"\n\t\t\t\t\tenable=<<tv-enable-drag-and-drop>>\n\t\t\t\t>\n\t\t\t\t\t<div class=\"tc-droppable-placeholder\"/>\n\t\t\t\t\t<div>\n\t\t\t\t\t\t<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n\t\t\t\t\t\t\t<$link to={{!!title}}>\n\t\t\t\t\t\t\t\t<$let tv-wikilinks=\"no\">\n\t\t\t\t\t\t\t\t\t<$transclude field=\"caption\">\n\t\t\t\t\t\t\t\t\t\t<$view field=\"title\"/>\n\t\t\t\t\t\t\t\t\t</$transclude>\n\t\t\t\t\t\t\t\t</$let>\n\t\t\t\t\t\t\t</$link>\n\t\t\t\t\t\t</$transclude>\n\t\t\t\t\t</div>\n\t\t\t\t</$droppable>\n\t\t\t</$list>\n\t\t\t<$tiddler tiddler=\"\">\n\t\t\t\t<$droppable\n\t\t\t\t\tactions=<<list-links-draggable-drop-actions>> \n\t\t\t\t\ttag=\"div\"\n\t\t\t\t\tenable=<<tv-enable-drag-and-drop>>\n\t\t\t\t>\n\t\t\t\t\t<div class=\"tc-droppable-placeholder\">\n\t\t\t\t\t\t{{$:/core/images/blank}}\n\t\t\t\t\t</div>\n\t\t\t\t\t<div style=\"height:0.5em;\"/>\n\t\t\t\t</$droppable>\n\t\t\t</$tiddler>\n\t\t</$genesis>\n\t</$vars>\n</span>\n\\end\n\n\\define list-tagged-draggable-drop-actions(tag)\n\\whitespace trim\n<!-- Save the current ordering of the tiddlers with this tag -->\n<$set name=\"order\" filter=\"[<__tag__>tagging[]]\">\n\t<!-- Remove any list-after or list-before fields from the tiddlers with this tag -->\n\t<$list filter=\"[<__tag__>tagging[]]\">\n\t\t<$action-deletefield $field=\"list-before\"/>\n\t\t<$action-deletefield $field=\"list-after\"/>\n\t</$list>\n\t<!-- Save the new order to the Tag Tiddler -->\n\t<$action-listops $tiddler=<<__tag__>> $field=\"list\" $filter=\"+[enlist<order>] +[insertbefore<actionTiddler>,<currentTiddler>]\"/>\n\t<!-- Make sure the newly added item has the right tag -->\n\t<!-- Removing this line makes dragging tags within the dropdown work as intended -->\n\t<!--<$action-listops $tiddler=<<actionTiddler>> $tags=<<__tag__>>/>-->\n\t<!-- Using the following 5 lines as replacement makes dragging titles from outside into the dropdown apply the tag -->\n\t<$list filter=\"[<actionTiddler>!contains:tags<__tag__>]\">\n\t\t<$fieldmangler tiddler=<<actionTiddler>>>\n\t\t\t<$action-sendmessage $message=\"tm-add-tag\" $param=<<__tag__>>/>\n\t\t</$fieldmangler>\n\t</$list>\n</$set>\n\\end\n\n\\define list-tagged-draggable(tag,subFilter,emptyMessage,itemTemplate,elementTag:\"div\",storyview:\"\")\n\\whitespace trim\n<span class=\"tc-tagged-draggable-list\">\n\t<$set name=\"tag\" value=<<__tag__>>>\n\t\t<$list\n\t\t\tfilter=\"[<__tag__>tagging[]$subFilter$]\"\n\t\t\temptyMessage=<<__emptyMessage__>>\n\t\t\tstoryview=<<__storyview__>>\n\t\t>\n\t\t\t<$genesis $type=<<__elementTag__>> class=\"tc-menu-list-item\">\n\t\t\t\t<$droppable\n\t\t\t\t\tactions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\"\n\t\t\t\t\tenable=<<tv-enable-drag-and-drop>>\n\t\t\t\t>\n\t\t\t\t\t<$genesis $type=<<__elementTag__>> class=\"tc-droppable-placeholder\"/>\n\t\t\t\t\t<$genesis $type=<<__elementTag__>>>\n\t\t\t\t\t\t<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n\t\t\t\t\t\t\t<$link to={{!!title}}>\n\t\t\t\t\t\t\t\t<$view field=\"title\"/>\n\t\t\t\t\t\t\t</$link>\n\t\t\t\t\t\t</$transclude>\n\t\t\t\t\t</$genesis>\n\t\t\t\t</$droppable>\n\t\t\t</$genesis>\n\t\t</$list>\n\t\t<$tiddler tiddler=\"\">\n\t\t\t<$droppable\n\t\t\t\tactions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\"\n\t\t\t\tenable=<<tv-enable-drag-and-drop>>\n\t\t\t>\n\t\t\t\t<$genesis $type=<<__elementTag__>> class=\"tc-droppable-placeholder\"/>\n\t\t\t\t<$genesis $type=<<__elementTag__>> style=\"height:0.5em;\"/>\n\t\t\t</$droppable>\n\t\t</$tiddler>\n\t</$set>\n</span>\n\\end\n"},"$:/core/macros/tabs":{"title":"$:/core/macros/tabs","tags":"$:/tags/Macro","code-body":"yes","text":"\\define tabs-button()\n\\whitespace trim\n<$button\n\tset=<<tabsState>>\n\tsetTo=<<currentTab>>\n\tdefault=<<__default__>>\n\tselectedClass=\"tc-tab-selected\"\n\ttooltip={{!!tooltip}}\n\trole=\"switch\"\n\tdata-tab-title=<<currentTab>>\n>\n\t<$tiddler tiddler=<<save-currentTiddler>>>\n\t\t<$set name=\"tv-wikilinks\" value=\"no\">\n\t\t\t<$transclude tiddler=<<__buttonTemplate__>> mode=\"inline\">\n\t\t\t\t<$transclude tiddler=<<currentTab>> field=\"caption\">\n\t\t\t\t\t<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n\t\t\t\t</$transclude>\n\t\t\t</$transclude>\n\t\t</$set>\n\t</$tiddler>\n\t<<__actions__>>\n</$button>\n\\end\n\n\\define tabs-tab()\n\\whitespace trim\n<$set name=\"save-currentTiddler\" value=<<currentTiddler>>>\n\t<$tiddler tiddler=<<currentTab>>>\n\t\t<<tabs-button>>\n\t</$tiddler>\n</$set>\n\\end\n\n\\define tabs-tab-list()\n\\whitespace trim\n<$list filter=<<__tabsList__>> variable=\"currentTab\" storyview=\"pop\">\n\t<<tabs-tab>>\n</$list>\n\\end\n\n\\define tabs-tab-body()\n\\whitespace trim\n<$list filter=<<__tabsList__>> variable=\"currentTab\">\n\t<$reveal type=\"match\" state=<<tabsState>> text=<<currentTab>> default=<<__default__>> retain=<<__retain__>> tag=\"div\">\n\t\t<$transclude tiddler=<<__template__>> mode=\"block\">\n\t\t\t<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\t\t</$transclude>\n\t</$reveal>\n</$list>\n\\end\n\n\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template,buttonTemplate,retain,actions,explicitState)\n\\whitespace trim\n<$qualify title=<<__state__>> name=\"qualifiedState\">\n\t<$let tabsState={{{ [<__explicitState__>minlength[1]] ~[<qualifiedState>] }}}>\n\t\t<div class={{{ [[tc-tab-set]addsuffix[ ]addsuffix<__class__>] }}}>\n\t\t\t<div class={{{ [[tc-tab-buttons]addsuffix[ ]addsuffix<__class__>] }}}>\n\t\t\t\t<<tabs-tab-list>>\n\t\t\t</div>\n\t\t\t<div class={{{ [[tc-tab-divider]addsuffix[ ]addsuffix<__class__>] }}}/>\n\t\t\t<div class={{{ [[tc-tab-content]addsuffix[ ]addsuffix<__class__>] }}}>\n\t\t\t\t<<tabs-tab-body>>\n\t\t\t</div>\n\t\t</div>\n\t</$let>\n</$qualify>\n\\end"},"$:/core/macros/tag-picker":{"title":"$:/core/macros/tag-picker","tags":"$:/tags/Macro","first-search-filter":"[tags[]!is[system]search:title<userInput>sort[]]","second-search-filter":"[tags[]is[system]search:title<userInput>sort[]]","text":"\\define get-tagpicker-focus-selector() [data-tiddler-title=\"$(currentTiddlerCSSEscaped)$\"] .tc-add-tag-name input\n\n\\define delete-tag-state-tiddlers() <$action-deletetiddler $filter=\"[<newTagNameTiddler>] [<storeTitle>] [<tagSelectionState>]\"/>\n\n\\define add-tag-actions(actions,tagField:\"tags\")\n\\whitespace trim\n<$set name=\"tag\" value={{{ [<__tiddler__>get[text]] }}}>\n\t<$list\n\t\tfilter=\"[<saveTiddler>!contains:$tagField$<tag>!match[]]\"\n\t\tvariable=\"ignore\"\n\t\temptyMessage=\"<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter='-[<tag>]'/>\"\n\t>\n\t\t<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"[<tag>trim[]]\"/>\n\t\t<$transclude $variable=\"__actions__\"/>\n\t</$list>\n</$set>\n<<delete-tag-state-tiddlers>>\n<$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n\\end\n\n\\define clear-tags-actions-inner()\n\\whitespace trim\n<$list\n\tfilter=\"[<storeTitle>has[text]] [<newTagNameTiddler>has[text]]\"\n\tvariable=\"ignore\"\n\temptyMessage=\"<<cancel-delete-tiddler-actions 'cancel'>>\"\n>\n\t<<delete-tag-state-tiddlers>>\n</$list>\n\\end\n\n\\define clear-tags-actions()\n\\whitespace trim\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n\t<$list filter=\"[<newTagNameTiddler>get[text]!match<userInput>]\" emptyMessage=\"<<clear-tags-actions-inner>>\">\n\t\t<$action-setfield $tiddler=<<newTagNameTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n\t</$list>\n</$set>\n\\end\n\n\\define tag-picker-inner(actions,tagField:\"tags\")\n\\whitespace trim\n<$vars\n\tnewTagNameInputTiddlerQualified=<<qualify \"$:/temp/NewTagName/input\">>\n\tnewTagNameSelectionTiddlerQualified=<<qualify \"$:/temp/NewTagName/selected-item\">>\n\tfallbackTarget={{$(palette)$##tag-background}}\n\tcolourA={{$(palette)$##foreground}}\n\tcolourB={{$(palette)$##background}}\n>\n\t<$vars\n\t\tstoreTitle={{{ [<newTagNameInputTiddler>!match[]] ~[<newTagNameInputTiddlerQualified>] }}}\n\t\ttagSelectionState={{{ [<newTagNameSelectionTiddler>!match[]] ~[<newTagNameSelectionTiddlerQualified>] }}}\n\t>\n\t\t<$vars\n\t\t\trefreshTitle=<<qualify \"$:/temp/NewTagName/refresh\">> \n\t\t\tnonSystemTagsFilter=\"[tags[]!is[system]search:title<userInput>sort[]]\"\n\t\t\tsystemTagsFilter=\"[tags[]is[system]search:title<userInput>sort[]]\"\n\t\t>\n\t\t\t<div class=\"tc-edit-add-tag\">\n\t\t\t\t<div>\n\t\t\t\t\t<span class=\"tc-add-tag-name tc-small-gap-right\">\n\t\t\t\t\t\t<$macrocall\n\t\t\t\t\t\t\t$name=\"keyboard-driven-input\"\n\t\t\t\t\t\t\ttiddler=<<newTagNameTiddler>>\n\t\t\t\t\t\t\tstoreTitle=<<storeTitle>>\n\t\t\t\t\t\t\trefreshTitle=<<refreshTitle>>\n\t\t\t\t\t\t\tselectionStateTitle=<<tagSelectionState>>\n\t\t\t\t\t\t\tinputAcceptActions=\"<$macrocall $name='add-tag-actions' actions=<<__actions__>> tagField=<<__tagField__>>/>\"\n\t\t\t\t\t\t\tinputCancelActions=<<clear-tags-actions>>\n\t\t\t\t\t\t\ttag=\"input\"\n\t\t\t\t\t\t\tplaceholder={{$:/language/EditTemplate/Tags/Add/Placeholder}}\n\t\t\t\t\t\t\tfocusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">>\n\t\t\t\t\t\t\tclass=\"tc-edit-texteditor tc-popup-handle\"\n\t\t\t\t\t\t\ttabindex=<<tabIndex>>\n\t\t\t\t\t\t\tfocus={{{ [{$:/config/AutoFocus}match[tags]then[true]] ~[[false]] }}}\n\t\t\t\t\t\t\tfilterMinLength={{$:/config/Tags/MinLength}}\n\t\t\t\t\t\t\tcancelPopups=<<cancelPopups>>\n\t\t\t\t\t\t\tconfigTiddlerFilter=\"[[$:/core/macros/tag-picker]]\"\n\t\t\t\t\t\t/>\n\t\t\t\t\t</span>\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> \n\t\t\t\t\t\tclass=\"tc-btn-invisible tc-btn-dropdown\"\n\t\t\t\t\t\ttooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}}\n\t\t\t\t\t\taria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}\n\t\t\t\t\t>\n\t\t\t\t\t\t{{$:/core/images/down-arrow}}\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<storeTitle>> type=\"nomatch\" text=\"\">\n\t\t\t\t\t\t<$button class=\"tc-btn-invisible tc-small-gap tc-btn-dropdown\"\n\t\t\t\t\t\t\ttooltip={{$:/language/EditTemplate/Tags/ClearInput/Hint}}\n\t\t\t\t\t\t\taria-label={{$:/language/EditTemplate/Tags/ClearInput/Caption}}\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t{{$:/core/images/close-button}}<<delete-tag-state-tiddlers>>\n\t\t\t\t\t\t</$button>\n\t\t\t\t\t</$reveal>\n\t\t\t\t\t<span class=\"tc-add-tag-button tc-small-gap-left\">\n\t\t\t\t\t\t<$set name=\"tag\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n\t\t\t\t\t\t\t<$button set=<<newTagNameTiddler>> setTo=\"\" class=\"\">\n\t\t\t\t\t\t\t\t<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"[<tag>trim[]]\"/>\n\t\t\t\t\t\t\t\t<$transclude $variable=\"__actions__\"/>\n\t\t\t\t\t\t\t\t<$set name=\"currentTiddlerCSSEscaped\" value={{{ [<saveTiddler>escapecss[]] }}}>\n\t\t\t\t\t\t\t\t\t<<delete-tag-state-tiddlers>><$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-tagpicker-focus-selector>>/>\n\t\t\t\t\t\t\t\t</$set>\n\t\t\t\t\t\t\t\t{{$:/language/EditTemplate/Tags/Add/Button}}\n\t\t\t\t\t\t\t</$button>\n\t\t\t\t\t\t</$set>\n\t\t\t\t\t</span>\n\t\t\t\t</div>\n\t\t\t\t<div class=\"tc-block-dropdown-wrapper\">\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n\t\t\t\t\t\t<div class=\"tc-block-dropdown tc-block-tags-dropdown\">\n\t\t\t\t\t\t\t<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n\t\t\t\t\t\t\t\t<$list\n\t\t\t\t\t\t\t\t\tfilter=\"[<userInput>minlength{$:/config/Tags/MinLength}limit[1]]\"\n\t\t\t\t\t\t\t\t\temptyMessage=\"<div class='tc-search-results'\n\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t{{$:/language/Search/Search/TooShort}}</div>\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t\t<$list filter=<<nonSystemTagsFilter>> variable=\"tag\">\n\t\t\t\t\t\t\t\t\t\t<$list\n\t\t\t\t\t\t\t\t\t\t\tfilter=\"[<tag>addsuffix[-primaryList]] -[<tagSelectionState>get[text]]\" \n\t\t\t\t\t\t\t\t\t\t\temptyMessage=\"<$vars button-classes='tc-btn-invisible tc-tag-button-selected' actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\"\n\t\t\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t\t\t<$vars button-classes=\"tc-btn-invisible\"\n\t\t\t\t\t\t\t\t\t\t\t\tactions=<<__actions__>> \n\t\t\t\t\t\t\t\t\t\t\t\ttagField=<<__tagField__>>\n\t\t\t\t\t\t\t\t\t\t\t\tcurrentTiddler=<<tag>>\n\t\t\t\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t\t\t\t{{||$:/core/ui/TagPickerTagTemplate}}\n\t\t\t\t\t\t\t\t\t\t\t</$vars>\n\t\t\t\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t\t\t<hr>\n\t\t\t\t\t\t\t\t<$list filter=\"[<userInput>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"<div class='tc-search-results'>\n\t\t\t\t\t\t\t\t\t{{$:/language/Search/Search/TooShort}}</div>\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t\t<$list filter=<<systemTagsFilter>> variable=\"tag\">\n\t\t\t\t\t\t\t\t\t\t<$list filter=\"[<tag>addsuffix[-secondaryList]] -[<tagSelectionState>get[text]]\"\n\t\t\t\t\t\t\t\t\t\t\temptyMessage=\"<$vars button-classes='tc-btn-invisible tc-tag-button-selected' actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\"\n\t\t\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t\t\t<$vars button-classes=\"tc-btn-invisible\"\n\t\t\t\t\t\t\t\t\t\t\t\tactions=<<__actions__>>\n\t\t\t\t\t\t\t\t\t\t\t\ttagField=<<__tagField__>>\n\t\t\t\t\t\t\t\t\t\t\t\tcurrentTiddler=<<tag>>\n\t\t\t\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t\t\t\t{{||$:/core/ui/TagPickerTagTemplate}}\n\t\t\t\t\t\t\t\t\t\t\t</$vars>\n\t\t\t\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t\t</$set>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</div>\n\t\t</$vars>\n\t</$vars>\n</$vars>\n\\end\n\n\\define tag-picker(actions,tagField:\"tags\")\n\\whitespace trim\n<$vars saveTiddler=<<currentTiddler>> palette={{$:/palette}}>\n\t<$list\n\t\tfilter=\"[<newTagNameTiddler>match[]]\"\n\t\temptyMessage=\"<$macrocall $name='tag-picker-inner' actions=<<__actions__>> tagField=<<__tagField__>>/>\"\n\t>\n\t\t<$set name=\"newTagNameTiddler\" value=<<qualify \"$:/temp/NewTagName\">>>\n\t\t\t<$macrocall $name=\"tag-picker-inner\" actions=<<__actions__>> tagField=<<__tagField__>>/>\n\t\t</$set>\n\t</$list>\n</$vars>\n\\end\n"},"$:/core/macros/tag":{"title":"$:/core/macros/tag","tags":"$:/tags/Macro","text":"\\define tag-pill-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n<!-- This has no whitespace trim to avoid modifying $actions$. Closing tags omitted for brevity. -->\n\\define tag-pill-inner(tag,icon,colour,fallbackTarget,colourA,colourB,element-tag,element-attributes,actions)\n\\whitespace trim\n<$let\n\tforegroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">>\n\tbackgroundColor=<<__colour__>>\n>\n<$element-tag$\n\t$element-attributes$\n\tclass=\"tc-tag-label tc-btn-invisible\"\n\tstyle=<<tag-pill-styles>>\n>\n\t<<__actions__>>\n\t<$transclude tiddler=<<__icon__>>/>\n\t<$view tiddler=<<__tag__>> field=\"title\" format=\"text\" />\n</$element-tag$>\n</$let>\n\\end\n\n\\define tag-pill-body(tag,icon,colour,palette,element-tag,element-attributes,actions)\n\\whitespace trim\n<$macrocall $name=\"tag-pill-inner\"\n\ttag=<<__tag__>>\n\ticon=<<__icon__>>\n\tcolour=<<__colour__>>\n\tfallbackTarget={{$palette$##tag-background}}\n\tcolourA={{$palette$##foreground}}\n\tcolourB={{$palette$##background}}\n\telement-tag=<<__element-tag__>>\n\telement-attributes=<<__element-attributes__>>\n\tactions=<<__actions__>>\n/>\n\\end\n\n\\define tag-pill(tag,element-tag:\"span\",element-attributes:\"\",actions:\"\")\n\\whitespace trim\n<span class=\"tc-tag-list-item\" data-tag-title=<<__tag__>>>\n\t<$let currentTiddler=<<__tag__>>>\n\t\t<$macrocall $name=\"tag-pill-body\"\n\t\t\ttag=<<__tag__>>\n\t\t\ticon={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerIconFilter]!is[draft]get[text]] }}}\n\t\t\tcolour={{{ [<currentTiddler>] :cascade[all[shadows+tiddlers]tag[$:/tags/TiddlerColourFilter]!is[draft]get[text]] }}}\n\t\t\tpalette={{$:/palette}}\n\t\t\telement-tag=<<__element-tag__>>\n\t\t\telement-attributes=<<__element-attributes__>>\n\t\t\tactions=<<__actions__>>/>\n\t</$let>\n</span>\n\\end\n\n\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"},"$:/core/macros/thumbnails":{"title":"$:/core/macros/thumbnails","tags":"$:/tags/Macro","text":"<!-- This macro does not use \\whitespace trim because it could affect the caption -->\n\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\"\n><div\n\tclass=\"tc-thumbnail-image\"\n\tstyle=\"width:$width$px;height:$height$px;\"><$reveal\n\ttype=\"nomatch\"\n\ttext=\"\"\n\tdefault=\"\"\"$image$\"\"\"\n\ttag=\"div\"\n\tstyle=\"width:$width$px;height:$height$px;\"\n>[img[$image$]]</$reveal><$reveal\n\ttype=\"match\"\n\ttext=\"\"\n\tdefault=\"\"\"$image$\"\"\"\n\ttag=\"div\"\n\tclass=\"tc-thumbnail-background\"\n\tstyle=\"width:$width$px;height:$height$px;background-color:$background-color$;\"\n></$reveal></div><div\n\tclass=\"tc-thumbnail-icon\"\n\tstyle=\"fill:$color$;color:$color$;\"\n>$icon$</div><div class=\"tc-thumbnail-caption\">$caption$</div></div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"},"$:/core/macros/timeline":{"title":"$:/core/macros/timeline","created":"20141212105914482","modified":"20141212110330815","tags":"$:/tags/Macro","text":"<!-- Override one or both of the following two macros with a global or local macro of the same name \nif you need to change how titles are displayed on a timeline -->\n\n\\define timeline-title() <$view field=\"title\"/>\n\\define timeline-link() <$link to={{!!title}}><<timeline-title>></$link>\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n\\whitespace trim\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<<timeline-link>>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"},"$:/core/macros/toc":{"title":"$:/core/macros/toc","tags":"$:/tags/Macro","text":"\n\\define toc-open-icon() $:/core/images/down-arrow\n\\define toc-closed-icon() $:/core/images/right-arrow\n\n\\define toc-caption()\n\\whitespace trim\n<span class=\"tc-toc-caption tc-tiny-gap-left\">\n<$set name=\"tv-wikilinks\" value=\"no\">\n  <$transclude field=\"caption\">\n    <$view field=\"title\"/>\n  </$transclude>\n</$set>\n</span>\n\\end\n\n\\define toc-body(tag,sort:\"\",itemClassFilter,exclude,path)\n\\whitespace trim\n<ol class=\"tc-toc\">\n  <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[subfilter<__exclude__>]\"\"\">\n    <$let item=<<currentTiddler>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n      <$set name=\"excluded\" filter=\"[subfilter<__exclude__>] [<__tag__>]\">\n        <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n          <li class=<<toc-item-class>>>\n            <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}><<toc-caption>></$link>\">\n              <<toc-caption>>\n            </$list>\n            <$macrocall $name=\"toc-body\" tag=<<item>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n          </li>\n        </$set>\n      </$set>\n    </$let>\n  </$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter:\"\", exclude)\n<$macrocall $name=\"toc-body\"  tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>>/>\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n\\whitespace trim\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n    <$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}>\n      <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n          <$transclude tiddler=<<toc-closed-icon>> />\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n          <$transclude tiddler=<<toc-open-icon>> />\n        </$button>\n      </$reveal>\n      <<toc-caption>>\n    </$link>\n    <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n      <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n    </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n\\whitespace trim\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n      <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n        <$transclude tiddler=<<toc-closed-icon>> />\n          <<toc-caption>>\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n          <$transclude tiddler=<<toc-open-icon>> />\n          <<toc-caption>>\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-expandable-empty-message()\n<$macrocall $name=\"toc-linked-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter:\"\",exclude,path)\n\\whitespace trim\n<$let tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n  <$set name=\"excluded\" filter=\"[subfilter<__exclude__>] [<__tag__>]\">\n    <ol class=\"tc-toc toc-expandable\">\n      <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[subfilter<__exclude__>]\"\"\">\n        <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=<<toc-expandable-empty-message>> >\n          <$macrocall $name=\"toc-unlinked-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"\"\"itemClassFilter\"\"\" exclude=<<excluded>> path=<<path>> />\n        </$list>\n      </$list>\n    </ol>\n  </$set>\n</$let>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n\\whitespace trim\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\" >\n    <li class=<<toc-item-class>>>\n      <$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}>\n          <$list filter=\"[all[current]tagging[]$sort$limit[1]]  -[subfilter<__exclude__>]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n          <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n            <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n            <$transclude tiddler=<<toc-closed-icon>> />\n            </$button>\n          </$reveal>\n          <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n            <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n              <$transclude tiddler=<<toc-open-icon>> />\n            </$button>\n          </$reveal>\n        </$list>\n        <<toc-caption>>\n      </$link>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n\\whitespace trim\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n      <$list filter=\"[all[current]tagging[]$sort$limit[1]] -[subfilter<__exclude__>]\" variable=\"ignore\" emptyMessage=\"\"\"<$button class=\"tc-btn-invisible\">{{$:/core/images/blank}}</$button><span class=\"toc-item-muted\"><<toc-caption>></span>\"\"\">\n        <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n          <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n            <$transclude tiddler=<<toc-closed-icon>> />\n            <<toc-caption>>\n          </$button>\n        </$reveal>\n        <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n          <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n            <$transclude tiddler=<<toc-open-icon>> />\n            <<toc-caption>>\n          </$button>\n        </$reveal>\n      </$list>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-selective-expandable-empty-message()\n<$macrocall $name=\"toc-linked-selective-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter,exclude,path)\n\\whitespace trim\n<$let tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n  <$set name=\"excluded\" filter=\"[subfilter<__exclude__>] [<__tag__>]\">\n    <ol class=\"tc-toc toc-selective-expandable\">\n      <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[subfilter<__exclude__>]\"\"\">\n        <$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=<<toc-selective-expandable-empty-message>> >\n          <$macrocall $name=\"toc-unlinked-selective-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n        </$list>\n      </$list>\n    </ol>\n  </$set>\n</$let>\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\",exclude)\n\\whitespace trim\n<$tiddler tiddler={{{ [<__selectedTiddler__>get[text]] }}}>\n  <div class=\"tc-tabbed-table-of-contents\">\n    <$linkcatcher to=<<__selectedTiddler__>>>\n      <div class=\"tc-table-of-contents\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"[all[current]] -[<__selectedTiddler__>get[text]]\" exclude=<<__exclude__>>/>\n      </div>\n    </$linkcatcher>\n    <div class=\"tc-tabbed-table-of-contents-content\">\n      <$reveal stateTitle=<<__selectedTiddler__>> type=\"nomatch\" text=\"\">\n        <$transclude mode=\"block\" tiddler=<<__template__>>>\n          <h1><<toc-caption>></h1>\n          <$transclude mode=\"block\">$missingText$</$transclude>\n        </$transclude>\n      </$reveal>\n      <$reveal stateTitle=<<__selectedTiddler__>> type=\"match\" text=\"\">\n        $unselectedText$\n      </$reveal>\n    </div>\n  </div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\",exclude)\n\\whitespace trim\n<$linkcatcher to=<<__selectedTiddler__>>>\n  <$macrocall $name=\"toc-tabbed-external-nav\" tag=<<__tag__>> sort=<<__sort__>> selectedTiddler=<<__selectedTiddler__>> unselectedText=<<__unselectedText__>> missingText=<<__missingText__>> template=<<__template__>> exclude=<<__exclude__>> />\n</$linkcatcher>\n\\end\n"},"$:/core/macros/translink":{"title":"$:/core/macros/translink","tags":"$:/tags/Macro","text":"\\define translink(title,mode:\"block\")\n\\whitespace trim\n<$list filter=\"[<__mode__>match[block]]\">\n<div class=\"tc-translink\">\n<div>\n<$link to=\"\"\"$title$\"\"\">\n<h1><$text text=\"\"\"$title$\"\"\"/></h1>\n</$link>\n<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"block\">\n<$set name=\"currentTiddler\" value=\"\"\"$title$\"\"\"><$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/></$set>\n</$transclude>\n</div>\n</div>\n</$list>\n<$list filter=\"[<__mode__>match[inline]]\">\n<span class=\"tc-translink\">\n<$link to=\"\"\"$title$\"\"\">\n<$text text=\"\"\"$title$\"\"\"/>\n</$link>\n&#32;(<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"inline\">\n<$set name=\"currentTiddler\" value=\"\"\"$title$\"\"\"><$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/></$set>\n</$transclude>)\n</span>\n</$list>\n\\end\n"},"$:/core/macros/tree":{"title":"$:/core/macros/tree","tags":"$:/tags/Macro","text":"\\define leaf-link(full-title,chunk,separator: \"/\")\n<$link to=<<__full-title__>>><$text text=<<__chunk__>>/></$link>\n\\end\n\n\\define leaf-node(prefix,chunk)\n\\whitespace trim\n<li>\n<$list filter=\"[<__prefix__>addsuffix<__chunk__>is[shadow]] [<__prefix__>addsuffix<__chunk__>is[tiddler]]\" variable=\"full-title\">\n<$list filter=\"[<full-title>removeprefix<__prefix__>]\" variable=\"chunk\">\n<span>{{$:/core/images/file}}</span>&#32;<$macrocall $name=\"leaf-link\" full-title=<<full-title>> chunk=<<chunk>>/>\n</$list>\n</$list>\n</li>\n\\end\n\n\\define branch-node(prefix,chunk,separator: \"/\")\n\\whitespace trim\n<li>\n<$set name=\"reveal-state\" value={{{ [[$:/state/tree/]addsuffix<__prefix__>addsuffix<__chunk__>] }}}>\n<$reveal type=\"nomatch\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"show\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}}&#32;<$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"hide\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}}&#32;<$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n&#32;\n<span>(<$count filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>removeprefix<__chunk__>] -[<__prefix__>addsuffix<__chunk__>]\"/>)</span>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$macrocall $name=\"tree-node\" prefix={{{ [<__prefix__>addsuffix<__chunk__>] }}} separator=<<__separator__>>/>\n</$reveal>\n</$set>\n</li>\n\\end\n\n\\define tree-node(prefix,separator: \"/\")\n\\whitespace trim\n<ol>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]!suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"leaf-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"branch-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n</ol>\n\\end\n\n\\define tree(prefix: \"$:/\",separator: \"/\")\n\\whitespace trim\n<div class=\"tc-tree\">\n<span><$text text=<<__prefix__>>/></span>\n<div>\n<$macrocall $name=\"tree-node\" prefix=<<__prefix__>> separator=<<__separator__>>/>\n</div>\n</div>\n\\end\n"},"$:/core/macros/utils":{"title":"$:/core/macros/utils","text":"\\define colour(colour)\n$colour$\n\\end\n"},"$:/snippets/minifocusswitcher":{"title":"$:/snippets/minifocusswitcher","text":"\\whitespace trim\n<$select tiddler=\"$:/config/AutoFocus\">\n<$list filter=\"title tags text type fields\">\n<option value=<<currentTiddler>>><<currentTiddler>></option>\n</$list>\n</$select>\n"},"$:/snippets/minilanguageswitcher":{"title":"$:/snippets/minilanguageswitcher","text":"\\whitespace trim\n<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"},"$:/snippets/minithemeswitcher":{"title":"$:/snippets/minithemeswitcher","text":"\\define lingo-base() $:/language/ControlPanel/Theme/\n\\whitespace trim\n<<lingo Prompt>>&#32;<$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"},"$:/snippets/modules":{"title":"$:/snippets/modules","text":"\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n\\whitespace trim\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"},"$:/palette":{"title":"$:/palette","text":"$:/palettes/Vanilla"},"$:/snippets/paletteeditor":{"title":"$:/snippets/paletteeditor","text":"<$transclude tiddler=\"$:/PaletteManager\"/>\n"},"$:/snippets/palettepreview":{"title":"$:/snippets/palettepreview","text":"\\whitespace trim\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n{{||$:/snippets/currpalettepreview}}\n</$set>\n"},"$:/snippets/paletteswitcher":{"title":"$:/snippets/paletteswitcher","text":"\\whitespace trim\n<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[name]]\">\n<$set name=\"cls\" filter=\"[all[current]prefix{$:/palette}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\">\n<div class=<<cls>>>\n<$link to={{!!title}}>\n''<$view field=\"name\" format=\"text\"/>''\n&#32;-&#32;\n<$view field=\"description\" format=\"text\"/>\n{{||$:/snippets/currpalettepreview}}\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>\n"},"$:/snippets/peek-stylesheets":{"title":"$:/snippets/peek-stylesheets","text":"\\define expandable-stylesheets-list()\n\\whitespace trim\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$vars state=<<qualify \"$:/state/peek-stylesheets/open/\">>>\n<$set name=\"state\" value={{{ [<state>addsuffix<currentTiddler>] }}}>\n<li>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"no\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"yes\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"div\">\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<$codeblock code=<<styles>> language=\"css\"/>\n</$wikify>\n</$set>\n</$reveal>\n</li>\n</$set>\n</$vars>\n</$list>\n</ol>\n\\end\n\n\\define stylesheets-list()\n\\whitespace trim\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<li>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</li>\n</$list>\n</ol>\n\\end\n\\whitespace trim\n\n<$vars modeState=<<qualify \"$:/state/peek-stylesheets/mode/\">>>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"expanded\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Stylesheets/Expand/Caption}}</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"restored\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}} {{$:/language/ControlPanel/Stylesheets/Restore/Caption}}</$button>\n</$reveal>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<expandable-stylesheets-list>>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<stylesheets-list>>\n</$reveal>\n\n</$vars>\n"},"$:/temp/search":{"title":"$:/temp/search","text":""},"$:/tags/AdvancedSearch":{"title":"$:/tags/AdvancedSearch","list":"[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"},"$:/tags/AdvancedSearch/FilterButton":{"title":"$:/tags/AdvancedSearch/FilterButton","list":"$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown $:/core/ui/AdvancedSearch/Filter/FilterButtons/clear $:/core/ui/AdvancedSearch/Filter/FilterButtons/export $:/core/ui/AdvancedSearch/Filter/FilterButtons/delete"},"$:/tags/ControlPanel":{"title":"$:/tags/ControlPanel","list":"$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"},"$:/tags/ControlPanel/Info":{"title":"$:/tags/ControlPanel/Info","list":"$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"},"$:/tags/ControlPanel/Plugins":{"title":"$:/tags/ControlPanel/Plugins","list":"$:/core/ui/ControlPanel/Plugins/Installed/Plugins $:/core/ui/ControlPanel/Plugins/Installed/Themes $:/core/ui/ControlPanel/Plugins/Installed/Languages"},"$:/tags/EditTemplate":{"title":"$:/tags/EditTemplate","list":"[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"},"$:/tags/EditTemplateBodyFilter":{"title":"$:/tags/EditTemplateBodyFilter","list":"$:/config/EditTemplateBodyFilters/canonical-uri $:/config/EditTemplateBodyFilters/default"},"$:/tags/EditToolbar":{"title":"$:/tags/EditToolbar","list":"[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"},"$:/tags/EditorToolbar":{"title":"$:/tags/EditorToolbar","list":"$:/core/ui/EditorToolbar/paint $:/core/ui/EditorToolbar/opacity $:/core/ui/EditorToolbar/line-width $:/core/ui/EditorToolbar/rotate-left $:/core/ui/EditorToolbar/clear $:/core/ui/EditorToolbar/bold $:/core/ui/EditorToolbar/italic $:/core/ui/EditorToolbar/strikethrough $:/core/ui/EditorToolbar/underline $:/core/ui/EditorToolbar/superscript $:/core/ui/EditorToolbar/subscript $:/core/ui/EditorToolbar/mono-line $:/core/ui/EditorToolbar/mono-block $:/core/ui/EditorToolbar/quote $:/core/ui/EditorToolbar/list-bullet $:/core/ui/EditorToolbar/list-number $:/core/ui/EditorToolbar/heading-1 $:/core/ui/EditorToolbar/heading-2 $:/core/ui/EditorToolbar/heading-3 $:/core/ui/EditorToolbar/heading-4 $:/core/ui/EditorToolbar/heading-5 $:/core/ui/EditorToolbar/heading-6 $:/core/ui/EditorToolbar/link $:/core/ui/EditorToolbar/excise $:/core/ui/EditorToolbar/picture $:/core/ui/EditorToolbar/stamp $:/core/ui/EditorToolbar/size $:/core/ui/EditorToolbar/editor-height $:/core/ui/EditorToolbar/more $:/core/ui/EditorToolbar/preview $:/core/ui/EditorToolbar/preview-type"},"$:/tags/Manager/ItemMain":{"title":"$:/tags/Manager/ItemMain","list":"$:/Manager/ItemMain/WikifiedText $:/Manager/ItemMain/RawText $:/Manager/ItemMain/Fields"},"$:/tags/Manager/ItemSidebar":{"title":"$:/tags/Manager/ItemSidebar","list":"$:/Manager/ItemSidebar/Tags $:/Manager/ItemSidebar/Colour $:/Manager/ItemSidebar/Icon $:/Manager/ItemSidebar/Tools"},"$:/tags/MoreSideBar":{"title":"$:/tags/MoreSideBar","list":"[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]] [[$:/core/ui/MoreSideBar/Explorer]] [[$:/core/ui/MoreSideBar/Plugins]]","text":""},"$:/tags/PageControls":{"title":"$:/tags/PageControls","list":"[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/new-image]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/manager]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/layout]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/timestamp]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/print]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/network-activity]] [[$:/core/ui/Buttons/more-page-actions]]"},"$:/tags/PageTemplate":{"title":"$:/tags/PageTemplate","list":"[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]","text":""},"$:/tags/PluginLibrary":{"title":"$:/tags/PluginLibrary","list":"$:/config/OfficialPluginLibrary"},"$:/tags/SideBar":{"title":"$:/tags/SideBar","list":"[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]","text":""},"$:/tags/SideBarSegment":{"title":"$:/tags/SideBarSegment","list":"[[$:/core/ui/SideBarSegments/site-title]] [[$:/core/ui/SideBarSegments/site-subtitle]] [[$:/core/ui/SideBarSegments/page-controls]] [[$:/core/ui/SideBarSegments/search]] [[$:/core/ui/SideBarSegments/tabs]]"},"$:/tags/StoryTiddlerTemplateFilter":{"title":"$:/tags/StoryTiddlerTemplateFilter","list":"$:/config/StoryTiddlerTemplateFilters/draft $:/config/StoryTiddlerTemplateFilters/default"},"$:/tags/TiddlerColourFilter":{"title":"$:/tags/TiddlerColourFilter","list":"$:/config/TiddlerColourFilters/color-field $:/config/TiddlerColourFilters/default","text":""},"$:/tags/TiddlerIconFilter":{"title":"$:/tags/TiddlerIconFilter","list":"$:/config/TiddlerIconFilters/icon-field $:/config/TiddlerIconFilters/default","text":""},"$:/tags/TiddlerInfo":{"title":"$:/tags/TiddlerInfo","list":"[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]","text":""},"$:/tags/TiddlerInfo/Advanced":{"title":"$:/tags/TiddlerInfo/Advanced","list":"[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"},"$:/tags/ViewTemplate":{"title":"$:/tags/ViewTemplate","list":"[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"},"$:/tags/ViewTemplateBodyFilter":{"title":"$:/tags/ViewTemplateBodyFilter","list":"$:/config/ViewTemplateBodyFilters/hide-body $:/config/ViewTemplateBodyFilters/code-body $:/config/ViewTemplateBodyFilters/stylesheet $:/config/ViewTemplateBodyFilters/core-ui-advanced-search $:/config/ViewTemplateBodyFilters/core-ui-tags $:/config/ViewTemplateBodyFilters/system $:/config/ViewTemplateBodyFilters/import $:/config/ViewTemplateBodyFilters/plugin $:/config/ViewTemplateBodyFilters/default"},"$:/tags/ViewTemplate/Subtitle":{"title":"$:/tags/ViewTemplate/Subtitle","list":"$:/core/ui/ViewTemplate/subtitle/modifier $:/core/ui/ViewTemplate/subtitle/modified"},"$:/tags/ViewTemplateTitleFilter":{"title":"$:/tags/ViewTemplateTitleFilter","list":"$:/config/ViewTemplateTitleFilters/system $:/config/ViewTemplateTitleFilters/default","text":""},"$:/tags/ViewToolbar":{"title":"$:/tags/ViewToolbar","list":"[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"},"$:/snippets/themeswitcher":{"title":"$:/snippets/themeswitcher","text":"\\whitespace trim\n<$linkcatcher to=\"$:/theme\">\n<div class=\"tc-chooser\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/theme}] [[$:/theme]!has[text]addsuffix[s/tiddlywiki/vanilla]field:title<currentTiddler>] +[limit[1]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\">\n<div class=<<cls>>><$link to={{!!title}}>\n''<$view field=\"name\" format=\"text\"/>''\n&#32;\n<$view field=\"description\" format=\"text\"/>\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"},"$:/core/wiki/title":{"title":"$:/core/wiki/title","text":"\\whitespace trim\n{{$:/SiteTitle}}\n<$list filter=\"[{$:/SiteSubtitle}trim[]minlength[1]]\" variable=\"ignore\">\n&#32;---&#32;{{$:/SiteSubtitle}}\n</$list>"},"$:/view":{"title":"$:/view","text":"classic"},"$:/snippets/viewswitcher":{"title":"$:/snippets/viewswitcher","text":"\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n\\whitespace trim\n<$linkcatcher to=\"$:/view\">\n<div class=\"tc-chooser tc-viewswitcher\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$set name=\"cls\" filter=\"[<storyview>prefix{$:/view}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$button tag=\"a\" class=\"tc-tiddlylink tc-btn-invisible\" to=<<storyview>>><$transclude tiddler=<<icon>>/><$text text=<<storyview>>/></$button>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>\n"}}}

\define timeline-title()
\whitespace trim
<!-- Override this macro with a global macro 
     of the same name if you need to change 
     how titles are displayed on the timeline 
     -->
<$view field="title"/>
\end
\define timeline(limit:"12",format:"DDth MMM YYYY",subfilter:"",dateField:"created")
<div class="tc-timeline">
<$list filter="[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]">
<div class="tc-menu-list-item">
<$view field="$dateField$" format="date" template="$format$"/>
<$list filter="[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]">
<div class="tc-menu-list-subitem">
<$link to={{!!title}}><<timeline-title>></$link>
</div>
</$list>
</div>
</$list>
</div>
\end

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[[Inhalt]]

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        "title": "Draft of '/Eine sehr gute Aprilnacht'"
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        "title": "/Eine sehr gute Aprilnacht"
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    {
        "title": "Draft of '/Eine sehr gute Aprilnacht'"
    },
    {
        "title": "/Eine sehr gute Aprilnacht"
    },
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        "title": "Aktuelle Beobachtungsberichte"
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        "title": "Aktuelle Beobachtungsberichte"
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    {
        "title": "Draft of '/Eine sehr gute Aprilnacht'"
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    {
        "title": "Draft of '10. April 2024 - Lange Rhön'"
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        "title": "12P/Pons-Brooks",
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        "title": "Aktuelle Beobachtungsberichte"
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    {
        "title": "Draft of '10. April 2024 - Lange Rhön'"
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    {
        "title": "10. April 2024 - Lange Rhön"
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    {
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    {
        "title": "10. April 2024 - Lange Rhön"
    },
    {
        "title": "Aktuelle Beobachtungsberichte"
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    {
        "title": "$:/ControlPanel",
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    {
        "title": "Draft of 'Aktuelle Beobachtungsberichte'"
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    {
        "title": "Aktuelle Beobachtungsberichte"
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]

Folgende Tiddler wurden importiert:

# [[DSC08981.jpeg]]

no

$:/languages/de-DE

{"tiddlers":{"$:/language/Buttons/AdvancedSearch/Caption":{"title":"$:/language/Buttons/AdvancedSearch/Caption","text":"Erweiterte Suche"},"$:/language/Buttons/AdvancedSearch/Hint":{"title":"$:/language/Buttons/AdvancedSearch/Hint","text":"Erweiterte Suche"},"$:/language/Buttons/Cancel/Caption":{"title":"$:/language/Buttons/Cancel/Caption","text":"Abbrechen"},"$:/language/Buttons/Cancel/Hint":{"title":"$:/language/Buttons/Cancel/Hint","text":"Änderungen verwerfen"},"$:/language/Buttons/Clone/Caption":{"title":"$:/language/Buttons/Clone/Caption","text":"Klone"},"$:/language/Buttons/Clone/Hint":{"title":"$:/language/Buttons/Clone/Hint","text":"Klone diesen Tiddler"},"$:/language/Buttons/Close/Caption":{"title":"$:/language/Buttons/Close/Caption","text":"Schließen"},"$:/language/Buttons/Close/Hint":{"title":"$:/language/Buttons/Close/Hint","text":"Schließe diesen Tiddler"},"$:/language/Buttons/CloseAll/Caption":{"title":"$:/language/Buttons/CloseAll/Caption","text":"Alle schließen"},"$:/language/Buttons/CloseAll/Hint":{"title":"$:/language/Buttons/CloseAll/Hint","text":"Alle Tiddler schließen"},"$:/language/Buttons/CloseOthers/Caption":{"title":"$:/language/Buttons/CloseOthers/Caption","text":"Andere schließen"},"$:/language/Buttons/CloseOthers/Hint":{"title":"$:/language/Buttons/CloseOthers/Hint","text":"Alle anderen Tiddler schließen"},"$:/language/Buttons/ControlPanel/Caption":{"title":"$:/language/Buttons/ControlPanel/Caption","text":"Control-Panel"},"$:/language/Buttons/ControlPanel/Hint":{"title":"$:/language/Buttons/ControlPanel/Hint","text":"Öffne das Control-Panel"},"$:/language/Buttons/CopyToClipboard/Caption":{"title":"$:/language/Buttons/CopyToClipboard/Caption","text":"Kopiere in die Zwischenablage"},"$:/language/Buttons/CopyToClipboard/Hint":{"title":"$:/language/Buttons/CopyToClipboard/Hint","text":"Kopiere diesen Text in die Zwischenablage"},"$:/language/Buttons/Delete/Caption":{"title":"$:/language/Buttons/Delete/Caption","text":"Löschen"},"$:/language/Buttons/Delete/Hint":{"title":"$:/language/Buttons/Delete/Hint","text":"Lösche den Tiddler"},"$:/language/Buttons/DeleteTiddlers/Caption":{"title":"$:/language/Buttons/DeleteTiddlers/Caption","text":"Lösche Tiddler"},"$:/language/Buttons/DeleteTiddlers/Hint":{"title":"$:/language/Buttons/DeleteTiddlers/Hint","text":"Lösche diese Tiddler"},"$:/language/Buttons/Edit/Caption":{"title":"$:/language/Buttons/Edit/Caption","text":"Bearbeiten"},"$:/language/Buttons/Edit/Hint":{"title":"$:/language/Buttons/Edit/Hint","text":"Bearbeite diesen Tiddler"},"$:/language/Buttons/Encryption/Caption":{"title":"$:/language/Buttons/Encryption/Caption","text":"Verschlüsselung"},"$:/language/Buttons/Encryption/Hint":{"title":"$:/language/Buttons/Encryption/Hint","text":"Aktivieren oder löschen des Passworts für dieses Wiki"},"$:/language/Buttons/Encryption/ClearPassword/Caption":{"title":"$:/language/Buttons/Encryption/ClearPassword/Caption","text":"Verschlüsselung deaktivieren"},"$:/language/Buttons/Encryption/ClearPassword/Hint":{"title":"$:/language/Buttons/Encryption/ClearPassword/Hint","text":"Lösche das Passwort und speichere ohne Verschlüsselung"},"$:/language/Buttons/Encryption/SetPassword/Caption":{"title":"$:/language/Buttons/Encryption/SetPassword/Caption","text":"Verschlüsselung"},"$:/language/Buttons/Encryption/SetPassword/Hint":{"title":"$:/language/Buttons/Encryption/SetPassword/Hint","text":"Definiert ein Passwort, um dieses Wiki zu verschlüsseln"},"$:/language/Buttons/ExportPage/Caption":{"title":"$:/language/Buttons/ExportPage/Caption","text":"Alle exportieren"},"$:/language/Buttons/ExportPage/Hint":{"title":"$:/language/Buttons/ExportPage/Hint","text":"Alle Tiddler exportieren"},"$:/language/Buttons/ExportTiddler/Caption":{"title":"$:/language/Buttons/ExportTiddler/Caption","text":"Exportieren"},"$:/language/Buttons/ExportTiddler/Hint":{"title":"$:/language/Buttons/ExportTiddler/Hint","text":"Diesen Tiddler exportieren"},"$:/language/Buttons/ExportTiddlers/Caption":{"title":"$:/language/Buttons/ExportTiddlers/Caption","text":"Mehrere exportieren"},"$:/language/Buttons/ExportTiddlers/Hint":{"title":"$:/language/Buttons/ExportTiddlers/Hint","text":"Mehrere Tiddler exportieren"},"$:/language/Buttons/SidebarSearch/Hint":{"title":"$:/language/Buttons/SidebarSearch/Hint","text":"Aktiviere das \"sidebar\" Suchfeld"},"$:/language/Buttons/Fold/Caption":{"title":"$:/language/Buttons/Fold/Caption","text":"Ausblenden Textbereich"},"$:/language/Buttons/Fold/Hint":{"title":"$:/language/Buttons/Fold/Hint","text":"Der Tiddler Textbereich wird ausgeblendet"},"$:/language/Buttons/Fold/FoldBar/Caption":{"title":"$:/language/Buttons/Fold/FoldBar/Caption","text":"Textbereich ein/aus"},"$:/language/Buttons/Fold/FoldBar/Hint":{"title":"$:/language/Buttons/Fold/FoldBar/Hint","text":"Optionelle Buttons im Tiddler, um den Textbereich ein- bzw. auszublenden"},"$:/language/Buttons/Unfold/Caption":{"title":"$:/language/Buttons/Unfold/Caption","text":"Einblenden Textbereich"},"$:/language/Buttons/Unfold/Hint":{"title":"$:/language/Buttons/Unfold/Hint","text":"Der Tiddler Textbereich wird eingeblendet"},"$:/language/Buttons/FoldOthers/Caption":{"title":"$:/language/Buttons/FoldOthers/Caption","text":"Ausblenden andere Textbereiche"},"$:/language/Buttons/FoldOthers/Hint":{"title":"$:/language/Buttons/FoldOthers/Hint","text":"Die Textbereiche aller anderen Tiddler werden ausgeblendet"},"$:/language/Buttons/FoldAll/Caption":{"title":"$:/language/Buttons/FoldAll/Caption","text":"Ausblenden aller Textbereiche"},"$:/language/Buttons/FoldAll/Hint":{"title":"$:/language/Buttons/FoldAll/Hint","text":"Ausblenden der Textbereiche aller Tiddler"},"$:/language/Buttons/UnfoldAll/Caption":{"title":"$:/language/Buttons/UnfoldAll/Caption","text":"Einblenden aller Textbereiche"},"$:/language/Buttons/UnfoldAll/Hint":{"title":"$:/language/Buttons/UnfoldAll/Hint","text":"Einblenden der Textbereiche aller Tiddler"},"$:/language/Buttons/FullScreen/Caption":{"title":"$:/language/Buttons/FullScreen/Caption","text":"Vollbild"},"$:/language/Buttons/FullScreen/Hint":{"title":"$:/language/Buttons/FullScreen/Hint","text":"Aktivieren oder Deaktivieren des Vollbild-Modus"},"$:/language/Buttons/Help/Caption":{"title":"$:/language/Buttons/Help/Caption","text":"Hilfe"},"$:/language/Buttons/Help/Hint":{"title":"$:/language/Buttons/Help/Hint","text":"Hilfe anzeigen"},"$:/language/Buttons/Import/Caption":{"title":"$:/language/Buttons/Import/Caption","text":"Import"},"$:/language/Buttons/Import/Hint":{"title":"$:/language/Buttons/Import/Hint","text":"Importiere unterschiedliche Dateitypen. zB: Text, Bilder, TiddlyWiki oder JSON"},"$:/language/Buttons/Info/Caption":{"title":"$:/language/Buttons/Info/Caption","text":"Info"},"$:/language/Buttons/Info/Hint":{"title":"$:/language/Buttons/Info/Hint","text":"Informationen zu diesem Tiddler anzeigen"},"$:/language/Buttons/Home/Caption":{"title":"$:/language/Buttons/Home/Caption","text":"Home"},"$:/language/Buttons/Home/Hint":{"title":"$:/language/Buttons/Home/Hint","text":"Öffnen der Standard-Tiddler"},"$:/language/Buttons/Language/Caption":{"title":"$:/language/Buttons/Language/Caption","text":"Sprache"},"$:/language/Buttons/Language/Hint":{"title":"$:/language/Buttons/Language/Hint","text":"Auswahldialog für die Systemsprache"},"$:/language/Buttons/LayoutSwitcher/Hint":{"title":"$:/language/Buttons/LayoutSwitcher/Hint","text":"Öffne den Layout Selektor"},"$:/language/Buttons/LayoutSwitcher/Caption":{"title":"$:/language/Buttons/LayoutSwitcher/Caption","text":"Layout"},"$:/language/Buttons/Manager/Caption":{"title":"$:/language/Buttons/Manager/Caption","text":"Tiddler Manager"},"$:/language/Buttons/Manager/Hint":{"title":"$:/language/Buttons/Manager/Hint","text":"Öffne den Tiddler Manager"},"$:/language/Buttons/More/Caption":{"title":"$:/language/Buttons/More/Caption","text":"mehr"},"$:/language/Buttons/More/Hint":{"title":"$:/language/Buttons/More/Hint","text":"Weitere Aktionen"},"$:/language/Buttons/NewHere/Caption":{"title":"$:/language/Buttons/NewHere/Caption","text":"Neu hier"},"$:/language/Buttons/NewHere/Hint":{"title":"$:/language/Buttons/NewHere/Hint","text":"Erstelle einen neuen Tiddler, der mit dem Namen dieses Tiddlers getaggt ist"},"$:/language/Buttons/NetworkActivity/Caption":{"title":"$:/language/Buttons/NetworkActivity/Caption","text":"Netzwerk Aktivität"},"$:/language/Buttons/NetworkActivity/Hint":{"title":"$:/language/Buttons/NetworkActivity/Hint","text":"Alle offen Netwerk Anfragen beenden"},"$:/language/Buttons/NewJournal/Caption":{"title":"$:/language/Buttons/NewJournal/Caption","text":"Neues Journal"},"$:/language/Buttons/NewJournal/Hint":{"title":"$:/language/Buttons/NewJournal/Hint","text":"Erstelle einen neuen Journal-Tiddler"},"$:/language/Buttons/NewJournalHere/Caption":{"title":"$:/language/Buttons/NewJournalHere/Caption","text":"Neues Journal hier"},"$:/language/Buttons/NewJournalHere/Hint":{"title":"$:/language/Buttons/NewJournalHere/Hint","text":"Erstelle ein neues Journal der mit diesem getaggt ist"},"$:/language/Buttons/NewImage/Caption":{"title":"$:/language/Buttons/NewImage/Caption","text":"Neues Bild"},"$:/language/Buttons/NewImage/Hint":{"title":"$:/language/Buttons/NewImage/Hint","text":"Erstelle ein neues Bild"},"$:/language/Buttons/NewMarkdown/Caption":{"title":"$:/language/Buttons/NewMarkdown/Caption","text":"Neuer Markdown Tiddler"},"$:/language/Buttons/NewMarkdown/Hint":{"title":"$:/language/Buttons/NewMarkdown/Hint","text":"Erstelle einen neuen \"Markdown\" Tiddler"},"$:/language/Buttons/NewTiddler/Caption":{"title":"$:/language/Buttons/NewTiddler/Caption","text":"Neuer Tiddler"},"$:/language/Buttons/NewTiddler/Hint":{"title":"$:/language/Buttons/NewTiddler/Hint","text":"Erstelle einen neuen Tiddler"},"$:/language/Buttons/OpenWindow/Caption":{"title":"$:/language/Buttons/OpenWindow/Caption","text":"Öffne in neuem Fenster"},"$:/language/Buttons/OpenWindow/Hint":{"title":"$:/language/Buttons/OpenWindow/Hint","text":"Öffne diesen Tiddler in einem neuen Fenster"},"$:/language/Buttons/Palette/Caption":{"title":"$:/language/Buttons/Palette/Caption","text":"Palette"},"$:/language/Buttons/Palette/Hint":{"title":"$:/language/Buttons/Palette/Hint","text":"Wähle eine Farbpalette"},"$:/language/Buttons/Permalink/Caption":{"title":"$:/language/Buttons/Permalink/Caption","text":"Permalink"},"$:/language/Buttons/Permalink/Hint":{"title":"$:/language/Buttons/Permalink/Hint","text":"Die Adressleiste des Browsers enthält einen Link zu diesem Tiddler"},"$:/language/Buttons/Permaview/Caption":{"title":"$:/language/Buttons/Permaview/Caption","text":"Permaview"},"$:/language/Buttons/Permaview/Hint":{"title":"$:/language/Buttons/Permaview/Hint","text":"Die Adressleiste des Browsers enthält einen Link zu allen offenen Tiddlern in dieser Story"},"$:/language/Buttons/Print/Caption":{"title":"$:/language/Buttons/Print/Caption","text":"Seite drucken"},"$:/language/Buttons/Print/Hint":{"title":"$:/language/Buttons/Print/Hint","text":"Aktuelle Seite drucken"},"$:/language/Buttons/Refresh/Caption":{"title":"$:/language/Buttons/Refresh/Caption","text":"Aktualisieren"},"$:/language/Buttons/Refresh/Hint":{"title":"$:/language/Buttons/Refresh/Hint","text":"Die Seite wird neu in den Browser geladen"},"$:/language/Buttons/Save/Caption":{"title":"$:/language/Buttons/Save/Caption","text":"Fertig"},"$:/language/Buttons/Save/Hint":{"title":"$:/language/Buttons/Save/Hint","text":"Änderungen für diesen Tiddler bestätigen"},"$:/language/Buttons/SaveWiki/Caption":{"title":"$:/language/Buttons/SaveWiki/Caption","text":"Speichern"},"$:/language/Buttons/SaveWiki/Hint":{"title":"$:/language/Buttons/SaveWiki/Hint","text":"Das Wiki speichern"},"$:/language/Buttons/StoryView/Caption":{"title":"$:/language/Buttons/StoryView/Caption","text":"Story-Modus"},"$:/language/Buttons/StoryView/Hint":{"title":"$:/language/Buttons/StoryView/Hint","text":"Auswahl des Anzeigemodus für die Story"},"$:/language/Buttons/HideSideBar/Caption":{"title":"$:/language/Buttons/HideSideBar/Caption","text":"Sidebar ausblenden"},"$:/language/Buttons/HideSideBar/Hint":{"title":"$:/language/Buttons/HideSideBar/Hint","text":"Sidebar ausblenden"},"$:/language/Buttons/ShowSideBar/Caption":{"title":"$:/language/Buttons/ShowSideBar/Caption","text":"Sidebar einblenden"},"$:/language/Buttons/ShowSideBar/Hint":{"title":"$:/language/Buttons/ShowSideBar/Hint","text":"Sidebar einblenden"},"$:/language/Buttons/TagManager/Caption":{"title":"$:/language/Buttons/TagManager/Caption","text":"Tag-Manager"},"$:/language/Buttons/TagManager/Hint":{"title":"$:/language/Buttons/TagManager/Hint","text":"Öffne den Tag-Manager"},"$:/language/Buttons/Timestamp/Caption":{"title":"$:/language/Buttons/Timestamp/Caption","text":"Zeitstempel"},"$:/language/Buttons/Timestamp/Hint":{"title":"$:/language/Buttons/Timestamp/Hint","text":"Einstellung, ob Änderungen den Zeitstempel beeinflussen"},"$:/language/Buttons/Timestamp/On/Caption":{"title":"$:/language/Buttons/Timestamp/On/Caption","text":"Zeitstempel EIN"},"$:/language/Buttons/Timestamp/On/Hint":{"title":"$:/language/Buttons/Timestamp/On/Hint","text":"Zeitstempel aktualisieren, wenn ein Tiddler verändert wird"},"$:/language/Buttons/Timestamp/Off/Caption":{"title":"$:/language/Buttons/Timestamp/Off/Caption","text":"Zeitstempel AUS"},"$:/language/Buttons/Timestamp/Off/Hint":{"title":"$:/language/Buttons/Timestamp/Off/Hint","text":"Zeitstempel bleibt unverändert, wenn ein Tiddler geändert wird"},"$:/language/Buttons/Theme/Caption":{"title":"$:/language/Buttons/Theme/Caption","text":"Theme"},"$:/language/Buttons/Theme/Hint":{"title":"$:/language/Buttons/Theme/Hint","text":"Theme auswählen"},"$:/language/Buttons/Bold/Caption":{"title":"$:/language/Buttons/Bold/Caption","text":"Fett"},"$:/language/Buttons/Bold/Hint":{"title":"$:/language/Buttons/Bold/Hint","text":"Ausgewählten Text fett darstellen"},"$:/language/Buttons/Clear/Caption":{"title":"$:/language/Buttons/Clear/Caption","text":"Löschen"},"$:/language/Buttons/Clear/Hint":{"title":"$:/language/Buttons/Clear/Hint","text":"Bild mit Hintergrund Farbe löschen"},"$:/language/Buttons/EditorHeight/Caption":{"title":"$:/language/Buttons/EditorHeight/Caption","text":"Editor Höhe"},"$:/language/Buttons/EditorHeight/Caption/Auto":{"title":"$:/language/Buttons/EditorHeight/Caption/Auto","text":"Editor Höhe an Inhalt anpassen"},"$:/language/Buttons/EditorHeight/Caption/Fixed":{"title":"$:/language/Buttons/EditorHeight/Caption/Fixed","text":"Fixe Höhe:"},"$:/language/Buttons/EditorHeight/Hint":{"title":"$:/language/Buttons/EditorHeight/Hint","text":"Wählen Sie die Höhe des Editors"},"$:/language/Buttons/Excise/Caption":{"title":"$:/language/Buttons/Excise/Caption","text":"Verschieben"},"$:/language/Buttons/Excise/Caption/Excise":{"title":"$:/language/Buttons/Excise/Caption/Excise","text":"Text verschieben"},"$:/language/Buttons/Excise/Caption/MacroName":{"title":"$:/language/Buttons/Excise/Caption/MacroName","text":"Makro Name:"},"$:/language/Buttons/Excise/Caption/NewTitle":{"title":"$:/language/Buttons/Excise/Caption/NewTitle","text":"Titel des neuen Tiddlers:"},"$:/language/Buttons/Excise/Caption/Replace":{"title":"$:/language/Buttons/Excise/Caption/Replace","text":"Ersetze den verschobenen Text mit:"},"$:/language/Buttons/Excise/Caption/Replace/Macro":{"title":"$:/language/Buttons/Excise/Caption/Replace/Macro","text":"Makro"},"$:/language/Buttons/Excise/Caption/Replace/Link":{"title":"$:/language/Buttons/Excise/Caption/Replace/Link","text":"Link"},"$:/language/Buttons/Excise/Caption/Replace/Transclusion":{"title":"$:/language/Buttons/Excise/Caption/Replace/Transclusion","text":"Transklusion"},"$:/language/Buttons/Excise/Caption/Tag":{"title":"$:/language/Buttons/Excise/Caption/Tag","text":"Tagge den neuen Tiddler mit dem Titel des aktuellen Tiddlers"},"$:/language/Buttons/Excise/Caption/TiddlerExists":{"title":"$:/language/Buttons/Excise/Caption/TiddlerExists","text":"Warnung: Tiddler existiert bereits!"},"$:/language/Buttons/Excise/Hint":{"title":"$:/language/Buttons/Excise/Hint","text":"Verschiebe den ausgewählten Text in einen neuen Tiddler"},"$:/language/Buttons/Heading1/Caption":{"title":"$:/language/Buttons/Heading1/Caption","text":"Überschrift 1"},"$:/language/Buttons/Heading1/Hint":{"title":"$:/language/Buttons/Heading1/Hint","text":"Überschrift 1 auf die Zeilen anwenden, die eine Auswahl enthalten"},"$:/language/Buttons/Heading2/Caption":{"title":"$:/language/Buttons/Heading2/Caption","text":"Überschrift 2"},"$:/language/Buttons/Heading2/Hint":{"title":"$:/language/Buttons/Heading2/Hint","text":"Überschrift 2 auf die Zeilen anwenden, die eine Auswahl enthalten"},"$:/language/Buttons/Heading3/Caption":{"title":"$:/language/Buttons/Heading3/Caption","text":"Überschrift 3"},"$:/language/Buttons/Heading3/Hint":{"title":"$:/language/Buttons/Heading3/Hint","text":"Überschrift 3 auf die Zeilen anwenden, die eine Auswahl enthalten"},"$:/language/Buttons/Heading4/Caption":{"title":"$:/language/Buttons/Heading4/Caption","text":"Überschrift 4"},"$:/language/Buttons/Heading4/Hint":{"title":"$:/language/Buttons/Heading4/Hint","text":"Überschrift 4 auf die Zeilen anwenden, die eine Auswahl enthalten"},"$:/language/Buttons/Heading5/Caption":{"title":"$:/language/Buttons/Heading5/Caption","text":"Überschrift 5"},"$:/language/Buttons/Heading5/Hint":{"title":"$:/language/Buttons/Heading5/Hint","text":"Überschrift 5 auf die Zeilen anwenden, die eine Auswahl enthalten"},"$:/language/Buttons/Heading6/Caption":{"title":"$:/language/Buttons/Heading6/Caption","text":"Überschrift 6"},"$:/language/Buttons/Heading6/Hint":{"title":"$:/language/Buttons/Heading6/Hint","text":"Überschrift 6 auf die Zeilen anwenden, die eine Auswahl enthalten"},"$:/language/Buttons/Italic/Caption":{"title":"$:/language/Buttons/Italic/Caption","text":"Kursiv"},"$:/language/Buttons/Italic/Hint":{"title":"$:/language/Buttons/Italic/Hint","text":"Kursiv auf den selektierten Text anwenden"},"$:/language/Buttons/LineWidth/Caption":{"title":"$:/language/Buttons/LineWidth/Caption","text":"Zeilen Länge"},"$:/language/Buttons/LineWidth/Hint":{"title":"$:/language/Buttons/LineWidth/Hint","text":"Wählen Sie die Zeilenlänge"},"$:/language/Buttons/Link/Caption":{"title":"$:/language/Buttons/Link/Caption","text":"Link"},"$:/language/Buttons/Link/Hint":{"title":"$:/language/Buttons/Link/Hint","text":"Erstellt einen Wiki-Link"},"$:/language/Buttons/Linkify/Caption":{"title":"$:/language/Buttons/Linkify/Caption","text":"Wikilink"},"$:/language/Buttons/Linkify/Hint":{"title":"$:/language/Buttons/Linkify/Hint","text":"Wikilink - Den selektierten Text in eckige Klammern setzen"},"$:/language/Buttons/ListBullet/Caption":{"title":"$:/language/Buttons/ListBullet/Caption","text":"Punkteliste"},"$:/language/Buttons/ListBullet/Hint":{"title":"$:/language/Buttons/ListBullet/Hint","text":"Zeilen, die eine Markierung enthalten, werden als Punkteliste formatiert"},"$:/language/Buttons/ListNumber/Caption":{"title":"$:/language/Buttons/ListNumber/Caption","text":"Aufzählungsliste"},"$:/language/Buttons/ListNumber/Hint":{"title":"$:/language/Buttons/ListNumber/Hint","text":"Zeilen, die eine Markierung enthalten, werden als Auzählungsliste formatiert"},"$:/language/Buttons/MonoBlock/Caption":{"title":"$:/language/Buttons/MonoBlock/Caption","text":"Dicktengleicher Textblock"},"$:/language/Buttons/MonoBlock/Hint":{"title":"$:/language/Buttons/MonoBlock/Hint","text":"Alle Zeilen die eine Markierung enthalten, werden als Textblock mit einer dicktengleichen Schrift formatiert"},"$:/language/Buttons/MonoLine/Caption":{"title":"$:/language/Buttons/MonoLine/Caption","text":"Dicktengleich"},"$:/language/Buttons/MonoLine/Hint":{"title":"$:/language/Buttons/MonoLine/Hint","text":"Alle markierten Zeichen werden mit einer dicktengleichen Schrift formatiert"},"$:/language/Buttons/Opacity/Caption":{"title":"$:/language/Buttons/Opacity/Caption","text":"Transparenz"},"$:/language/Buttons/Opacity/Hint":{"title":"$:/language/Buttons/Opacity/Hint","text":"Wählen sie die Transparenz"},"$:/language/Buttons/Paint/Caption":{"title":"$:/language/Buttons/Paint/Caption","text":"Malfarbe"},"$:/language/Buttons/Paint/Hint":{"title":"$:/language/Buttons/Paint/Hint","text":"Wählen Sie die Malfarbe"},"$:/language/Buttons/Picture/Caption":{"title":"$:/language/Buttons/Picture/Caption","text":"Bild"},"$:/language/Buttons/Picture/Hint":{"title":"$:/language/Buttons/Picture/Hint","text":"Bild einfügen"},"$:/language/Buttons/Preview/Caption":{"title":"$:/language/Buttons/Preview/Caption","text":"Vorschau"},"$:/language/Buttons/Preview/Hint":{"title":"$:/language/Buttons/Preview/Hint","text":"Vorschau einblenden"},"$:/language/Buttons/PreviewType/Caption":{"title":"$:/language/Buttons/PreviewType/Caption","text":"Vorschau Typ"},"$:/language/Buttons/PreviewType/Hint":{"title":"$:/language/Buttons/PreviewType/Hint","text":"Wählen Sie den Vorschau Typ"},"$:/language/Buttons/Quote/Caption":{"title":"$:/language/Buttons/Quote/Caption","text":"Zitat"},"$:/language/Buttons/Quote/Hint":{"title":"$:/language/Buttons/Quote/Hint","text":"Alle Zeilen, die eine Markierung enthalten werden als Referenz/Zitat formatiert"},"$:/language/Buttons/RotateLeft/Caption":{"title":"$:/language/Buttons/RotateLeft/Caption","text":"Links rotieren"},"$:/language/Buttons/RotateLeft/Hint":{"title":"$:/language/Buttons/RotateLeft/Hint","text":"Rotiere das Bild um 90° nach 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Das Ergebnis einer Filter-Kaskade wird von der Filter Sequenz bestimmt, die als Erste ein Resultat zurück gibt."},"$:/language/ControlPanel/Cascades/TagPrompt":{"title":"$:/language/ControlPanel/Cascades/TagPrompt","text":"Filter Tags: <$macrocall $name=\"tag\" tag=<<currentTiddler>>/>"},"$:/language/ControlPanel/EditorTypes/Caption":{"title":"$:/language/ControlPanel/EditorTypes/Caption","text":"Editor Typen"},"$:/language/ControlPanel/EditorTypes/Editor/Caption":{"title":"$:/language/ControlPanel/EditorTypes/Editor/Caption","text":"Editor"},"$:/language/ControlPanel/EditorTypes/Hint":{"title":"$:/language/ControlPanel/EditorTypes/Hint","text":"Diese Tiddler definieren, welcher Editor für bestimmte Tiddler Typen (MIME-Type) verwendet werden soll."},"$:/language/ControlPanel/EditorTypes/Type/Caption":{"title":"$:/language/ControlPanel/EditorTypes/Type/Caption","text":"MIME-Type"},"$:/language/ControlPanel/EditTemplateBody/Caption":{"title":"$:/language/ControlPanel/EditTemplateBody/Caption","text":"Edit Template \"Körper\""},"$:/language/ControlPanel/EditTemplateBody/Hint":{"title":"$:/language/ControlPanel/EditTemplateBody/Hint","text":"Diese Filter-Kaskade wird vom Standard \"Edit Template\" verwendet. 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Kursiv hervorgehobene Tiddler haben keinen Quelltext. Sie werden während des Boot-Prozesses (Aufrufen des Tiddlywikis) erstellt."},"$:/language/ControlPanel/Palette/Caption":{"title":"$:/language/ControlPanel/Palette/Caption","text":"Palette"},"$:/language/ControlPanel/Palette/Editor/Clone/Caption":{"title":"$:/language/ControlPanel/Palette/Editor/Clone/Caption","text":"Palette klonen"},"$:/language/ControlPanel/Palette/Editor/Clone/Prompt":{"title":"$:/language/ControlPanel/Palette/Editor/Clone/Prompt","text":"Es wird empfohlen, dass Sie diese Schatten-Palette klonen, bevor Sie sie bearbeiten. Der Name der Palette wird im Tiddler-Feld \"description\" eingestellt."},"$:/language/ControlPanel/Palette/Editor/Delete/Hint":{"title":"$:/language/ControlPanel/Palette/Editor/Delete/Hint","text":"Lösche diesen Eintrag von der Palette"},"$:/language/ControlPanel/Palette/Editor/Names/External/Show":{"title":"$:/language/ControlPanel/Palette/Editor/Names/External/Show","text":"Zeige Farb-namen, die nicht Tiel der bestehenden Palette sind"},"$:/language/ControlPanel/Palette/Editor/Prompt/Modified":{"title":"$:/language/ControlPanel/Palette/Editor/Prompt/Modified","text":"Diese Schatten-Palette wurde bearbeitet."},"$:/language/ControlPanel/Palette/Editor/Prompt":{"title":"$:/language/ControlPanel/Palette/Editor/Prompt","text":"Bearbeiten"},"$:/language/ControlPanel/Palette/Editor/Reset/Caption":{"title":"$:/language/ControlPanel/Palette/Editor/Reset/Caption","text":"Palette zurücksetzen"},"$:/language/ControlPanel/Palette/HideEditor/Caption":{"title":"$:/language/ControlPanel/Palette/HideEditor/Caption","text":"Editor ausblenden"},"$:/language/ControlPanel/Palette/Prompt":{"title":"$:/language/ControlPanel/Palette/Prompt","text":"Ausgewählte Farbpalette:"},"$:/language/ControlPanel/Palette/ShowEditor/Caption":{"title":"$:/language/ControlPanel/Palette/ShowEditor/Caption","text":"Editor zeigen"},"$:/language/ControlPanel/Parsing/Caption":{"title":"$:/language/ControlPanel/Parsing/Caption","text":"Parser"},"$:/language/ControlPanel/Parsing/Hint":{"title":"$:/language/ControlPanel/Parsing/Hint","text":"Hier können Sie die globalen Parser-Einstellungen ändern. ACHTUNG: Manche Einstellungen können dazu führen, dass ~TiddlyWiki nicht mehr richtig funktioniert. Sollte das der Fall sein, dann können Sie die Änderungen im [[\"safe mode\"|https://tiddlywiki.com/#SafeMode]] rückgängig machen."},"$:/language/ControlPanel/Parsing/Block/Caption":{"title":"$:/language/ControlPanel/Parsing/Block/Caption","text":"Block Regeln"},"$:/language/ControlPanel/Parsing/Inline/Caption":{"title":"$:/language/ControlPanel/Parsing/Inline/Caption","text":"Inline Regeln"},"$:/language/ControlPanel/Parsing/Pragma/Caption":{"title":"$:/language/ControlPanel/Parsing/Pragma/Caption","text":"Pragma Regeln"},"$:/language/ControlPanel/Plugins/Add/Caption":{"title":"$:/language/ControlPanel/Plugins/Add/Caption","text":"Suche"},"$:/language/ControlPanel/Plugins/Add/Hint":{"title":"$:/language/ControlPanel/Plugins/Add/Hint","text":"Suche und installiere neue Plugins"},"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint":{"title":"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint","text":"Dieses Plugin ist bereits installiert. Version: <$text text=<<installedVersion>>/>"},"$:/language/ControlPanel/Plugins/AlsoRequires":{"title":"$:/language/ControlPanel/Plugins/AlsoRequires","text":"Benötigt auch:"},"$:/language/ControlPanel/Plugins/Caption":{"title":"$:/language/ControlPanel/Plugins/Caption","text":"Plugins"},"$:/language/ControlPanel/Plugins/Disable/Caption":{"title":"$:/language/ControlPanel/Plugins/Disable/Caption","text":"deaktivieren"},"$:/language/ControlPanel/Plugins/Disable/Hint":{"title":"$:/language/ControlPanel/Plugins/Disable/Hint","text":"Deaktivieren Sie dieses Plugin beim nächsten Laden der Seite."},"$:/language/ControlPanel/Plugins/Disabled/Status":{"title":"$:/language/ControlPanel/Plugins/Disabled/Status","text":"(deaktiviert)"},"$:/language/ControlPanel/Plugins/Downgrade/Caption":{"title":"$:/language/ControlPanel/Plugins/Downgrade/Caption","text":"herabstufen"},"$:/language/ControlPanel/Plugins/Empty/Hint":{"title":"$:/language/ControlPanel/Plugins/Empty/Hint","text":"keine"},"$:/language/ControlPanel/Plugins/Enable/Caption":{"title":"$:/language/ControlPanel/Plugins/Enable/Caption","text":"aktivieren"},"$:/language/ControlPanel/Plugins/Enable/Hint":{"title":"$:/language/ControlPanel/Plugins/Enable/Hint","text":"Aktivieren Sie dieses Plugin beim nächsten Laden der Seite."},"$:/language/ControlPanel/Plugins/Install/Caption":{"title":"$:/language/ControlPanel/Plugins/Install/Caption","text":"installieren"},"$:/language/ControlPanel/Plugins/Installed/Hint":{"title":"$:/language/ControlPanel/Plugins/Installed/Hint","text":"Momentan installierte Plugins"},"$:/language/ControlPanel/Plugins/Languages/Caption":{"title":"$:/language/ControlPanel/Plugins/Languages/Caption","text":"Sprachen"},"$:/language/ControlPanel/Plugins/Languages/Hint":{"title":"$:/language/ControlPanel/Plugins/Languages/Hint","text":"Spracherweiterungen"},"$:/language/ControlPanel/Plugins/NoInfoFound/Hint":{"title":"$:/language/ControlPanel/Plugins/NoInfoFound/Hint","text":"Kein ''\"<$text text=<<currentTab>>/>\"'' gefunden"},"$:/language/ControlPanel/Plugins/NotInstalled/Hint":{"title":"$:/language/ControlPanel/Plugins/NotInstalled/Hint","text":"Dieses Plugin ist momentan nicht installiert"},"$:/language/ControlPanel/Plugins/OpenPluginLibrary":{"title":"$:/language/ControlPanel/Plugins/OpenPluginLibrary","text":"Öffne das Plugin-Verzeichnis"},"$:/language/ControlPanel/Plugins/ClosePluginLibrary":{"title":"$:/language/ControlPanel/Plugins/ClosePluginLibrary","text":"Schließe das Plugin-Verzeichnis"},"$:/language/ControlPanel/Plugins/PluginWillRequireReload":{"title":"$:/language/ControlPanel/Plugins/PluginWillRequireReload","text":"(\"reload\" ist nötig)"},"$:/language/ControlPanel/Plugins/Plugins/Caption":{"title":"$:/language/ControlPanel/Plugins/Plugins/Caption","text":"Plugins"},"$:/language/ControlPanel/Plugins/Plugins/Hint":{"title":"$:/language/ControlPanel/Plugins/Plugins/Hint","text":"Erweiterungen"},"$:/language/ControlPanel/Plugins/Reinstall/Caption":{"title":"$:/language/ControlPanel/Plugins/Reinstall/Caption","text":"erneut installieren"},"$:/language/ControlPanel/Plugins/Themes/Caption":{"title":"$:/language/ControlPanel/Plugins/Themes/Caption","text":"Themes"},"$:/language/ControlPanel/Plugins/Themes/Hint":{"title":"$:/language/ControlPanel/Plugins/Themes/Hint","text":"Theme Erweiterungen"},"$:/language/ControlPanel/Plugins/Update/Caption":{"title":"$:/language/ControlPanel/Plugins/Update/Caption","text":"aktualisieren"},"$:/language/ControlPanel/Plugins/Updates/Caption":{"title":"$:/language/ControlPanel/Plugins/Updates/Caption","text":"Aktualisieren"},"$:/language/ControlPanel/Plugins/Updates/Hint":{"title":"$:/language/ControlPanel/Plugins/Updates/Hint","text":"Verfügbare Erweiterungen zu bereits installierten \"Plugins\""},"$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption":{"title":"$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption","text":"Aktualisiere <<update-count>> \"Plugins\""},"$:/language/ControlPanel/Plugins/SubPluginPrompt":{"title":"$:/language/ControlPanel/Plugins/SubPluginPrompt","text":"Mit <<count>> \"sub-plugins\" verfügbar"},"$:/language/ControlPanel/Saving/Caption":{"title":"$:/language/ControlPanel/Saving/Caption","text":"Speichern"},"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description":{"title":"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description","text":"Erlaube automatisches Speichern für den \"Download Saver\""},"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint":{"title":"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint","text":"Erlaube automatisches Speichern für den \"Download Saver\""},"$:/language/ControlPanel/Saving/DownloadSaver/Caption":{"title":"$:/language/ControlPanel/Saving/DownloadSaver/Caption","text":"Download Saver"},"$:/language/ControlPanel/Saving/DownloadSaver/Hint":{"title":"$:/language/ControlPanel/Saving/DownloadSaver/Hint","text":"Diese Einstellungen gelten für den HTML5-compatiblen \"Download Saver\""},"$:/language/ControlPanel/Saving/General/Caption":{"title":"$:/language/ControlPanel/Saving/General/Caption","text":"Allgemein"},"$:/language/ControlPanel/Saving/General/Hint":{"title":"$:/language/ControlPanel/Saving/General/Hint","text":"Diese Einstellungen gelten für alle Speichermechanismen"},"$:/language/ControlPanel/Saving/Hint":{"title":"$:/language/ControlPanel/Saving/Hint","text":"Einstellungen zu den TiddlyWiki Speichermechanismen"},"$:/language/ControlPanel/Saving/GitService/Branch":{"title":"$:/language/ControlPanel/Saving/GitService/Branch","text":"Ziel \"branch\" zum Speichern (Standard: `master`)"},"$:/language/ControlPanel/Saving/GitService/CommitMessage":{"title":"$:/language/ControlPanel/Saving/GitService/CommitMessage","text":"Gespeichert von TiddlyWiki"},"$:/language/ControlPanel/Saving/GitService/Description":{"title":"$:/language/ControlPanel/Saving/GitService/Description","text":"Diese Einstellungen werden nur zum Speichern auf <<service-name>> verwendet"},"$:/language/ControlPanel/Saving/GitService/Filename":{"title":"$:/language/ControlPanel/Saving/GitService/Filename","text":"Dateiname für Zielpfad (zB: `index.html`)"},"$:/language/ControlPanel/Saving/GitService/Path":{"title":"$:/language/ControlPanel/Saving/GitService/Path","text":"Pfad für Datei (zB: `/wiki/`)"},"$:/language/ControlPanel/Saving/GitService/Repo":{"title":"$:/language/ControlPanel/Saving/GitService/Repo","text":"Ziel \"Repository\" (zB: `Jermolene/TiddlyWiki5`)"},"$:/language/ControlPanel/Saving/GitService/ServerURL":{"title":"$:/language/ControlPanel/Saving/GitService/ServerURL","text":"Server URL (Standard: `https://api.github.com`)"},"$:/language/ControlPanel/Saving/GitService/UserName":{"title":"$:/language/ControlPanel/Saving/GitService/UserName","text":"Benuzername"},"$:/language/ControlPanel/Saving/GitService/GitHub/Caption":{"title":"$:/language/ControlPanel/Saving/GitService/GitHub/Caption","text":"~GitHub Saver"},"$:/language/ControlPanel/Saving/GitService/GitHub/Password":{"title":"$:/language/ControlPanel/Saving/GitService/GitHub/Password","text":"Password, \"OAUTH token\", oder persönlicher \"Zugriffs-Token\". Siehe: [[GitHub help page|https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line]]"},"$:/language/ControlPanel/Saving/GitService/GitLab/Caption":{"title":"$:/language/ControlPanel/Saving/GitService/GitLab/Caption","text":"~GitLab Saver"},"$:/language/ControlPanel/Saving/GitService/GitLab/Password":{"title":"$:/language/ControlPanel/Saving/GitService/GitLab/Password","text":"Persönlicher \"Zugriffs-Token\". Siehe: [[GitLab help page|https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html]]"},"$:/language/ControlPanel/Saving/GitService/Gitea/Caption":{"title":"$:/language/ControlPanel/Saving/GitService/Gitea/Caption","text":"Gitea Saver"},"$:/language/ControlPanel/Saving/GitService/Gitea/Password":{"title":"$:/language/ControlPanel/Saving/GitService/Gitea/Password","text":"Persönlicher \"Zugriffs-Token\" (siehe: Gitea’s web Seite: `Settings | Applications | Generate New Token`)"},"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading","text":"Erweiterte Einstellungen"},"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir","text":"Verzeichnis für das \"Backup\""},"$:/language/ControlPanel/Saving/TiddlySpot/ControlPanel":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/ControlPanel","text":"~TiddlySpot Control Panel"},"$:/language/ControlPanel/Saving/TiddlySpot/Backups":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Backups","text":"\"Backups\""},"$:/language/ControlPanel/Saving/TiddlySpot/Caption":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Caption","text":"Speichern auf ~TiddlySpot"},"$:/language/ControlPanel/Saving/TiddlySpot/Description":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Description","text":"Diese Einstellungen sind nur für [[TiddlySpot|http://tiddlyspot.com]], [[TiddlyHost|https://tiddlyhost.com]], und kompatible Server aktiv! [[Diese Beschreibung|https://github.com/simonbaird/tiddlyhost/wiki/TiddlySpot-Saver-configuration-for-Tiddlyhost-and-Tiddlyspot]] enthält weitergehende Informationen."},"$:/language/ControlPanel/Saving/TiddlySpot/Filename":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Filename","text":"Dateiname für den \"Upload\""},"$:/language/ControlPanel/Saving/TiddlySpot/Heading":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Heading","text":"~TiddlySpot"},"$:/language/ControlPanel/Saving/TiddlySpot/Hint":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Hint","text":"//Die Standard-Server-URL ist `http://<wikiname>.tiddlyspot.com/store.cgi` und kann im Feld 'Server-URL' verändert werden. zB: http://example.com/store.php//"},"$:/language/ControlPanel/Saving/TiddlySpot/Password":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/Password","text":"Passwort"},"$:/language/ControlPanel/Saving/TiddlySpot/ReadOnly":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/ReadOnly","text":"~TiddlySpot wurde durch https://tiddlyhost.com ersetzt. Neue Wikis können nur noch unter ~TiddlyHost erstellt werden. Bestehende Projekte können mit bekanntem Passwort gespeichert werden. Genaue Informationen finden Sie unter: http://tiddlyspot.com/"},"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL","text":"Server-URL"},"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir","text":"Verzeichnis für den \"Upload\""},"$:/language/ControlPanel/Saving/TiddlySpot/UserName":{"title":"$:/language/ControlPanel/Saving/TiddlySpot/UserName","text":"Name des Wikis"},"$:/language/ControlPanel/Settings/AutoSave/Caption":{"title":"$:/language/ControlPanel/Settings/AutoSave/Caption","text":"Automatisch speichern"},"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description":{"title":"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description","text":"Änderungen NICHT automatisch speichern"},"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description":{"title":"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description","text":"Änderungen automatisch speichern"},"$:/language/ControlPanel/Settings/AutoSave/Hint":{"title":"$:/language/ControlPanel/Settings/AutoSave/Hint","text":"Änderungen des Wikis automatisch speichern"},"$:/language/ControlPanel/Settings/CamelCase/Caption":{"title":"$:/language/ControlPanel/Settings/CamelCase/Caption","text":"Camel Case Wiki Links"},"$:/language/ControlPanel/Settings/CamelCase/Hint":{"title":"$:/language/ControlPanel/Settings/CamelCase/Hint","text":"Hier können Sie die automatische Umwandlung von \"~CamelCase Links\" einstellen. ''Wichtig:'' Die Seite muss neu geladen werden, damit die Einstellungen wirksam werden."},"$:/language/ControlPanel/Settings/CamelCase/Description":{"title":"$:/language/ControlPanel/Settings/CamelCase/Description","text":"Automatische ~CamelCase Umwandlung aktivieren"},"$:/language/ControlPanel/Settings/Caption":{"title":"$:/language/ControlPanel/Settings/Caption","text":"Einstellungen"},"$:/language/ControlPanel/Settings/EditorToolbar/Caption":{"title":"$:/language/ControlPanel/Settings/EditorToolbar/Caption","text":"Editor Toolbar"},"$:/language/ControlPanel/Settings/EditorToolbar/Hint":{"title":"$:/language/ControlPanel/Settings/EditorToolbar/Hint","text":"Aktivieren oder deaktivieren der Editor Toolbar"},"$:/language/ControlPanel/Settings/EditorToolbar/Description":{"title":"$:/language/ControlPanel/Settings/EditorToolbar/Description","text":"Editor Toolbar anzeigen"},"$:/language/ControlPanel/Settings/InfoPanelMode/Caption":{"title":"$:/language/ControlPanel/Settings/InfoPanelMode/Caption","text":"Tiddler Info Panel Modus"},"$:/language/ControlPanel/Settings/InfoPanelMode/Hint":{"title":"$:/language/ControlPanel/Settings/InfoPanelMode/Hint","text":"Einstellung, wann das Info Panel geschlossen wird:"},"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description":{"title":"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description","text":"Tiddler Info-Panel schließt automatisch"},"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description":{"title":"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description","text":"TiddlerTiddler Info-Panel bleibt offen, bis es geschlossen wird"},"$:/language/ControlPanel/Settings/Hint":{"title":"$:/language/ControlPanel/Settings/Hint","text":"Diese erweiterten Einstellungen ermöglichen Ihnen, das Verhalten von TiddlyWiki zu ändern."},"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption","text":"Navigation Adresszeile"},"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint","text":"Verhalten der Adresszeile des Browsers, wenn ein Tiddler geöffnet wird:"},"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description","text":"Die Adresszeile des Browsers wird nicht verändert."},"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description","text":"Den aktuellen Tiddler einbinden."},"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description":{"title":"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description","text":"Alle geöffneten Tiddler einbinden."},"$:/language/ControlPanel/Settings/NavigationHistory/Caption":{"title":"$:/language/ControlPanel/Settings/NavigationHistory/Caption","text":"Browser Chronik"},"$:/language/ControlPanel/Settings/NavigationHistory/Hint":{"title":"$:/language/ControlPanel/Settings/NavigationHistory/Hint","text":"Die Browser Chronik ändern, wenn ein Tiddler angezeigt wird:"},"$:/language/ControlPanel/Settings/NavigationHistory/No/Description":{"title":"$:/language/ControlPanel/Settings/NavigationHistory/No/Description","text":"Browser Chronik nicht ändern."},"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description":{"title":"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description","text":"Browser Chronik ändern."},"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption":{"title":"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption","text":"\"Permalink/permaview\" Modus"},"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint":{"title":"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint","text":"Wähle, wie \"permalink/permaview\" verwendet werden soll:"},"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description":{"title":"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description","text":"URL in die Zwischenablage kopieren"},"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description":{"title":"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description","text":"Adressleiste mit URL aktualisieren"},"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption":{"title":"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption","text":"Performance Messung"},"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint":{"title":"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint","text":"Anzeige der Performance Statistik in der Browser Entwickler Konsole. ''Wichtig:'' Seite neu laden um die Einstellung zu aktivieren!"},"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description":{"title":"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description","text":"Aktiviere Performance Messung"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption","text":"Toolbar Button Stil"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint","text":"Wählen Sie einen Stil:"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless","text":"Ohne Rand"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed","text":"Box"},"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded":{"title":"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded","text":"Abgerundet"},"$:/language/ControlPanel/Settings/ToolbarButtons/Caption":{"title":"$:/language/ControlPanel/Settings/ToolbarButtons/Caption","text":"Toolbar Buttons"},"$:/language/ControlPanel/Settings/ToolbarButtons/Hint":{"title":"$:/language/ControlPanel/Settings/ToolbarButtons/Hint","text":"Standard Toolbar Button Erscheinungsbild:"},"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description":{"title":"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description","text":"Icon anzeigen"},"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description":{"title":"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description","text":"Text anzeigen"},"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption":{"title":"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption","text":"Standard Sidebar Tab"},"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint":{"title":"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint","text":"Definition, welcher \"Sidebar Tab\" standardmäßig aktiv ist."},"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption":{"title":"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption","text":"Standard \"Mehr Sidebar Tab\""},"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint":{"title":"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint","text":"Definition, welcher \"Mehr Sidebar Tab\" standardmäßig aktiv ist."},"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption","text":"Tiddler Öffnen"},"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint","text":"Navigation bei Klicks //innerhalb// der Story"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint","text":"Navigation bei Klicks //außerhalb// der Story"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove","text":"Öffne vor dem aktuellen Tiddler"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow","text":"Öffne unter dem aktuellen Tiddler"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop","text":"Öffne als ersten Tiddler in der Story"},"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom":{"title":"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom","text":"Öffne alse letzten Tiddler in der Story"},"$:/language/ControlPanel/Settings/TitleLinks/Caption":{"title":"$:/language/ControlPanel/Settings/TitleLinks/Caption","text":"Tiddler Titel"},"$:/language/ControlPanel/Settings/TitleLinks/Hint":{"title":"$:/language/ControlPanel/Settings/TitleLinks/Hint","text":"Tiddler Titel als Links anzeigen:"},"$:/language/ControlPanel/Settings/TitleLinks/No/Description":{"title":"$:/language/ControlPanel/Settings/TitleLinks/No/Description","text":"Tiddler Titel normal anzeigen."},"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description":{"title":"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description","text":"Tiddler Titel als Link anzeigen."},"$:/language/ControlPanel/Settings/MissingLinks/Caption":{"title":"$:/language/ControlPanel/Settings/MissingLinks/Caption","text":"Wiki-Links"},"$:/language/ControlPanel/Settings/MissingLinks/Hint":{"title":"$:/language/ControlPanel/Settings/MissingLinks/Hint","text":"Aktiviere Links zu fehlenden Tiddlern. zB: FehlenderTiddler [[Einführung]]"},"$:/language/ControlPanel/Settings/MissingLinks/Description":{"title":"$:/language/ControlPanel/Settings/MissingLinks/Description","text":"Aktiviere Links zu fehlenden Tiddlern."},"$:/language/ControlPanel/StoryTiddler/Caption":{"title":"$:/language/ControlPanel/StoryTiddler/Caption","text":"Story Tiddler"},"$:/language/ControlPanel/StoryTiddler/Hint":{"title":"$:/language/ControlPanel/StoryTiddler/Hint","text":"Diese Filter-Kaskade wird verwendet, um die Vorlage für den Tiddler im \"Story River\" auszuwählen."},"$:/language/ControlPanel/StoryView/Caption":{"title":"$:/language/ControlPanel/StoryView/Caption","text":"Anzeige"},"$:/language/ControlPanel/StoryView/Prompt":{"title":"$:/language/ControlPanel/StoryView/Prompt","text":"Ausgewählte Anzeige:"},"$:/language/ControlPanel/Stylesheets/Caption":{"title":"$:/language/ControlPanel/Stylesheets/Caption","text":"Stylesheets"},"$:/language/ControlPanel/Stylesheets/Expand/Caption":{"title":"$:/language/ControlPanel/Stylesheets/Expand/Caption","text":"Alle erweitern"},"$:/language/ControlPanel/Stylesheets/Hint":{"title":"$:/language/ControlPanel/Stylesheets/Hint","text":"Hier wird der \"erweiterte\" CSS Code dargestellt. Die Reihenfolge, kann in der \"Tag-Liste\" <<tag \"$:/tags/Stylesheet\">> mit \"Drag & Drop\" angepasst werden!"},"$:/language/ControlPanel/Stylesheets/Restore/Caption":{"title":"$:/language/ControlPanel/Stylesheets/Restore/Caption","text":"Alle zurücksetzen"},"$:/language/ControlPanel/Theme/Caption":{"title":"$:/language/ControlPanel/Theme/Caption","text":"Theme"},"$:/language/ControlPanel/Theme/Prompt":{"title":"$:/language/ControlPanel/Theme/Prompt","text":"Ausgewähltes Theme:"},"$:/language/ControlPanel/TiddlerFields/Caption":{"title":"$:/language/ControlPanel/TiddlerFields/Caption","text":"Tiddler Felder"},"$:/language/ControlPanel/TiddlerFields/Hint":{"title":"$:/language/ControlPanel/TiddlerFields/Hint","text":"Hier finden Sie alle [[Felder|TiddlerFields]], die in diesem Wiki verwendet werden. Inklusive der Felder aus System-, exklusive Schatten-Tiddler."},"$:/language/ControlPanel/TiddlerColour/Caption":{"title":"$:/language/ControlPanel/TiddlerColour/Caption","text":"Tiddler Farbe"},"$:/language/ControlPanel/TiddlerColour/Hint":{"title":"$:/language/ControlPanel/TiddlerColour/Hint","text":"Diese Filter-Kaskade wird verwendet, um die Farbe für das \"Icon\" und den \"Tag\" auszuwählen."},"$:/language/ControlPanel/TiddlerIcon/Caption":{"title":"$:/language/ControlPanel/TiddlerIcon/Caption","text":"Tiddler Icon"},"$:/language/ControlPanel/TiddlerIcon/Hint":{"title":"$:/language/ControlPanel/TiddlerIcon/Hint","text":"Diese Filter-Kaskade wird verwendet, um die das Tiddler \"Icon\" auszuwählen."},"$:/language/ControlPanel/Toolbars/Caption":{"title":"$:/language/ControlPanel/Toolbars/Caption","text":"Toolbar"},"$:/language/ControlPanel/Toolbars/EditToolbar/Caption":{"title":"$:/language/ControlPanel/Toolbars/EditToolbar/Caption","text":"Edit Toolbar"},"$:/language/ControlPanel/Toolbars/EditToolbar/Hint":{"title":"$:/language/ControlPanel/Toolbars/EditToolbar/Hint","text":"Auswählen, welche Buttons im \"Edit Modus\" angezeigt werden. Verwenden Sie \"Drag and Drop\", um die Reihenfolge zu ändern"},"$:/language/ControlPanel/Toolbars/Hint":{"title":"$:/language/ControlPanel/Toolbars/Hint","text":"Auswählen, welche \"Toolbar Button\" angezeigt werden"},"$:/language/ControlPanel/Toolbars/PageControls/Caption":{"title":"$:/language/ControlPanel/Toolbars/PageControls/Caption","text":"Page Toolbar"},"$:/language/ControlPanel/Toolbars/PageControls/Hint":{"title":"$:/language/ControlPanel/Toolbars/PageControls/Hint","text":"Auswählen, welche Buttons im Hauptmenü angezeigt werden. Verwenden Sie \"Drag and Drop\", um die Reihenfolge zu ändern"},"$:/language/ControlPanel/Toolbars/EditorToolbar/Caption":{"title":"$:/language/ControlPanel/Toolbars/EditorToolbar/Caption","text":"Editor Toolbar"},"$:/language/ControlPanel/Toolbars/EditorToolbar/Hint":{"title":"$:/language/ControlPanel/Toolbars/EditorToolbar/Hint","text":"Auswählen, welche Editorbuttons angezeigt werden sollen. Manche Buttons sind vom Tiddler-Typ abhängig und werden eventuell ausgeblendet."},"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption":{"title":"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption","text":"View Toolbar"},"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint":{"title":"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint","text":"Auswählen, welche Buttons im \"View Modus\" angezeigt werden. Verwenden Sie \"Drag and Drop\", um die Reihenfolge zu ändern"},"$:/language/ControlPanel/Tools/Download/Full/Caption":{"title":"$:/language/ControlPanel/Tools/Download/Full/Caption","text":"Herunterladen des ''gesamten Wikis''"},"$:/language/ControlPanel/ViewTemplateBody/Caption":{"title":"$:/language/ControlPanel/ViewTemplateBody/Caption","text":"View Template Text"},"$:/language/ControlPanel/ViewTemplateBody/Hint":{"title":"$:/language/ControlPanel/ViewTemplateBody/Hint","text":"Diese Filter-Kaskade wird vom \"View Template\" dazu verwendet, um die Vorlage für den Tiddler Textbereich auszuwählen."},"$:/language/ControlPanel/ViewTemplateTitle/Caption":{"title":"$:/language/ControlPanel/ViewTemplateTitle/Caption","text":"View Template Titel"},"$:/language/ControlPanel/ViewTemplateTitle/Hint":{"title":"$:/language/ControlPanel/ViewTemplateTitle/Hint","text":"Diese Filter-Kaskade wird vom \"View Template\" dazu verwendet, um die Vorlage für den Tiddler Titel auszuwählen."},"$:/core/de-DE/readme":{"title":"$:/core/de-DE/readme","text":"Dieses Plugin enthält die TiddlyWiki Basis Komponenten, bestehend aus:\n\n* JavaScript Code Module.\n* Piktogramme (icons).\n* Vorlagen, die benötigt werden um die ~TiddlyWiki Oberfläche zu erstellen.\n* British English (''en-GB'') übersetzbare Texte, die von der TW Basis Software verwendet 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Vordergrund"},"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover":{"title":"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover","text":"Seitenleiste gedeckt Vordergrund (hover)"},"$:/language/Docs/PaletteColours/sidebar-muted-foreground":{"title":"$:/language/Docs/PaletteColours/sidebar-muted-foreground","text":"Seitenleiste gedeckt Vordergrund"},"$:/language/Docs/PaletteColours/sidebar-tab-background-selected":{"title":"$:/language/Docs/PaletteColours/sidebar-tab-background-selected","text":"Seitenleiste Reiter"},"$:/language/Docs/PaletteColours/sidebar-tab-background":{"title":"$:/language/Docs/PaletteColours/sidebar-tab-background","text":"Seitenleiste Reiter Hintergrund"},"$:/language/Docs/PaletteColours/sidebar-tab-border-selected":{"title":"$:/language/Docs/PaletteColours/sidebar-tab-border-selected","text":"Seitenleiste Reiter Rahmen für selektierte 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(hover)"},"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground":{"title":"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground","text":"Seitenleiste Tiddler Link Vordergrund"},"$:/language/Docs/PaletteColours/site-title-foreground":{"title":"$:/language/Docs/PaletteColours/site-title-foreground","text":"Wiki Titel Vordergrund"},"$:/language/Docs/PaletteColours/static-alert-foreground":{"title":"$:/language/Docs/PaletteColours/static-alert-foreground","text":"Statische Warnung Vordergrund"},"$:/language/Docs/PaletteColours/tab-background-selected":{"title":"$:/language/Docs/PaletteColours/tab-background-selected","text":"Reiter Hintergrund für selektierte Reiter"},"$:/language/Docs/PaletteColours/tab-background":{"title":"$:/language/Docs/PaletteColours/tab-background","text":"Reiter Hintergrund"},"$:/language/Docs/PaletteColours/tab-border-selected":{"title":"$:/language/Docs/PaletteColours/tab-border-selected","text":"Reiter Rahmen für selektierte Reiter"},"$:/language/Docs/PaletteColours/tab-border":{"title":"$:/language/Docs/PaletteColours/tab-border","text":"Reiter Rahmen"},"$:/language/Docs/PaletteColours/tab-divider":{"title":"$:/language/Docs/PaletteColours/tab-divider","text":"Reiter Trennzeichen"},"$:/language/Docs/PaletteColours/tab-foreground-selected":{"title":"$:/language/Docs/PaletteColours/tab-foreground-selected","text":"Reiter Vordergrund für selektierte Reiter"},"$:/language/Docs/PaletteColours/tab-foreground":{"title":"$:/language/Docs/PaletteColours/tab-foreground","text":"Reiter Vordergrund"},"$:/language/Docs/PaletteColours/table-border":{"title":"$:/language/Docs/PaletteColours/table-border","text":"Tabelle Rahmen"},"$:/language/Docs/PaletteColours/table-footer-background":{"title":"$:/language/Docs/PaletteColours/table-footer-background","text":"Tabelle Fußzeile Hintergrund"},"$:/language/Docs/PaletteColours/table-header-background":{"title":"$:/language/Docs/PaletteColours/table-header-background","text":"Tabelle Kopfzeile Hintergrund"},"$:/language/Docs/PaletteColours/tag-background":{"title":"$:/language/Docs/PaletteColours/tag-background","text":"Tag Hintergrund"},"$:/language/Docs/PaletteColours/tag-foreground":{"title":"$:/language/Docs/PaletteColours/tag-foreground","text":"Tag Vordergrund"},"$:/language/Docs/PaletteColours/tiddler-background":{"title":"$:/language/Docs/PaletteColours/tiddler-background","text":"Tiddler Hintergrund"},"$:/language/Docs/PaletteColours/tiddler-border":{"title":"$:/language/Docs/PaletteColours/tiddler-border","text":"Tiddler Rahmen"},"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover":{"title":"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover","text":"Tiddler Bedienelement Vordergrund (hover)"},"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected":{"title":"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected","text":"Tiddler Bedienelement Vordergrund für selektierte Elemente"},"$:/language/Docs/PaletteColours/tiddler-controls-foreground":{"title":"$:/language/Docs/PaletteColours/tiddler-controls-foreground","text":"Tiddler Bedienelement Vordergrund"},"$:/language/Docs/PaletteColours/tiddler-editor-background":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-background","text":"Tiddler Editor Hintergrund"},"$:/language/Docs/PaletteColours/tiddler-editor-border-image":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-border-image","text":"Tiddler Editor Rahmen Bild"},"$:/language/Docs/PaletteColours/tiddler-editor-border":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-border","text":"Tiddler Editor Rahmen"},"$:/language/Docs/PaletteColours/tiddler-editor-fields-even":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-fields-even","text":"Tiddler Editor Hintergrund geradzahlige Felder in Tabelle"},"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd":{"title":"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd","text":"Tiddler Editor Hintergrund un-geradzahlige Felder in Tabelle"},"$:/language/Docs/PaletteColours/tiddler-info-background":{"title":"$:/language/Docs/PaletteColours/tiddler-info-background","text":"Tiddler Info Bereich Hintergrund"},"$:/language/Docs/PaletteColours/tiddler-info-border":{"title":"$:/language/Docs/PaletteColours/tiddler-info-border","text":"Tiddler Info Bereich Rahmen"},"$:/language/Docs/PaletteColours/tiddler-info-tab-background":{"title":"$:/language/Docs/PaletteColours/tiddler-info-tab-background","text":"Tiddler Info Bereich Reiter Hintergrund"},"$:/language/Docs/PaletteColours/tiddler-link-background":{"title":"$:/language/Docs/PaletteColours/tiddler-link-background","text":"Tiddler Link Hintergrund"},"$:/language/Docs/PaletteColours/tiddler-link-foreground":{"title":"$:/language/Docs/PaletteColours/tiddler-link-foreground","text":"Tiddler Link Vordergrund"},"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground":{"title":"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground","text":"Tiddler Untertitel Vordergrund"},"$:/language/Docs/PaletteColours/tiddler-title-foreground":{"title":"$:/language/Docs/PaletteColours/tiddler-title-foreground","text":"Tiddler Titel Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-new-button":{"title":"$:/language/Docs/PaletteColours/toolbar-new-button","text":"Werkzeugleiste 'Neuer Tiddler' Button Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-options-button":{"title":"$:/language/Docs/PaletteColours/toolbar-options-button","text":"Werkzeugleiste 'Optionen' Button Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-save-button":{"title":"$:/language/Docs/PaletteColours/toolbar-save-button","text":"Werkzeugleiste 'Speichern' Button Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-info-button":{"title":"$:/language/Docs/PaletteColours/toolbar-info-button","text":"Werkzeugleiste 'Info' Button Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-edit-button":{"title":"$:/language/Docs/PaletteColours/toolbar-edit-button","text":"Werkzeugleiste 'Bearbeiten' Button Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-close-button":{"title":"$:/language/Docs/PaletteColours/toolbar-close-button","text":"Werkzeugleiste 'Schließen' Button Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-delete-button":{"title":"$:/language/Docs/PaletteColours/toolbar-delete-button","text":"Werkzeugleiste 'Löschen' Button Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-cancel-button":{"title":"$:/language/Docs/PaletteColours/toolbar-cancel-button","text":"Werkzeugleiste 'Abbruch' Button Vordergrund"},"$:/language/Docs/PaletteColours/toolbar-done-button":{"title":"$:/language/Docs/PaletteColours/toolbar-done-button","text":"Werkzeugleiste 'Fertig' Button Vordergrund"},"$:/language/Docs/PaletteColours/untagged-background":{"title":"$:/language/Docs/PaletteColours/untagged-background","text":"(untagged) Pille Hintergrund"},"$:/language/Docs/PaletteColours/very-muted-foreground":{"title":"$:/language/Docs/PaletteColours/very-muted-foreground","text":"Stark abgedunkelter Vordergrund"},"$:/language/EditTemplate/Caption":{"title":"$:/language/EditTemplate/Caption","text":"Editor"},"$:/language/EditTemplate/Body/External/Hint":{"title":"$:/language/EditTemplate/Body/External/Hint","text":"Dieser Tiddler zeigt den Inhalt einer Datei, die nicht im TW file gespeichert ist. Sie können die \"Tags\" und \"Feld\" Texte ändern, jedoch nicht den Inhalt des Tiddlers!"},"$:/language/EditTemplate/Body/Placeholder":{"title":"$:/language/EditTemplate/Body/Placeholder","text":"Geben Sie den Text für diesen Tiddler ein."},"$:/language/EditTemplate/Body/Preview/Type/Output":{"title":"$:/language/EditTemplate/Body/Preview/Type/Output","text":"Anzeige"},"$:/language/EditTemplate/Body/Preview/Type/DiffShadow":{"title":"$:/language/EditTemplate/Body/Preview/Type/DiffShadow","text":"Unterschiede zum Schatten-Tiddler (wenn vorhanden)"},"$:/language/EditTemplate/Body/Preview/Type/DiffCurrent":{"title":"$:/language/EditTemplate/Body/Preview/Type/DiffCurrent","text":"Unterschiede zum aktuellen Tiddler"},"$:/language/EditTemplate/Field/Remove/Caption":{"title":"$:/language/EditTemplate/Field/Remove/Caption","text":"Lösche Feld"},"$:/language/EditTemplate/Field/Remove/Hint":{"title":"$:/language/EditTemplate/Field/Remove/Hint","text":"Lösche Feld"},"$:/language/EditTemplate/Field/Dropdown/Caption":{"title":"$:/language/EditTemplate/Field/Dropdown/Caption","text":"Feld Liste"},"$:/language/EditTemplate/Field/Dropdown/Hint":{"title":"$:/language/EditTemplate/Field/Dropdown/Hint","text":"Zeige Feld Liste"},"$:/language/EditTemplate/Fields/Add/Button":{"title":"$:/language/EditTemplate/Fields/Add/Button","text":"ok"},"$:/language/EditTemplate/Fields/Add/Button/Hint":{"title":"$:/language/EditTemplate/Fields/Add/Button/Hint","text":"Erzeuge ein neues Feld für diesen Tiddler"},"$:/language/EditTemplate/Fields/Add/Name/Placeholder":{"title":"$:/language/EditTemplate/Fields/Add/Name/Placeholder","text":"Feld Name"},"$:/language/EditTemplate/Fields/Add/Prompt":{"title":"$:/language/EditTemplate/Fields/Add/Prompt","text":"Feld einfügen:"},"$:/language/EditTemplate/Fields/Add/Value/Placeholder":{"title":"$:/language/EditTemplate/Fields/Add/Value/Placeholder","text":"Feld Text / Wert"},"$:/language/EditTemplate/Fields/Add/Dropdown/System":{"title":"$:/language/EditTemplate/Fields/Add/Dropdown/System","text":"System Felder"},"$:/language/EditTemplate/Fields/Add/Dropdown/User":{"title":"$:/language/EditTemplate/Fields/Add/Dropdown/User","text":"Anwender Felder"},"$:/language/EditTemplate/Shadow/Warning":{"title":"$:/language/EditTemplate/Shadow/Warning","text":"Dies ist ein Schatten-Tiddler. Jede Änderung, die Sie machen, überschreibt die Standardversion des Plugins: <<pluginLink>>"},"$:/language/EditTemplate/Shadow/OverriddenWarning":{"title":"$:/language/EditTemplate/Shadow/OverriddenWarning","text":"Dies ist ein veränderter Tiddler. Um zur Standardversion zurückzukehren, löschen Sie diesen Tiddler. Plugin: <<pluginLink>>"},"$:/language/EditTemplate/Tags/Add/Button":{"title":"$:/language/EditTemplate/Tags/Add/Button","text":"ok"},"$:/language/EditTemplate/Tags/Add/Button/Hint":{"title":"$:/language/EditTemplate/Tags/Add/Button/Hint","text":"Erzeuge einen neuen Tag"},"$:/language/EditTemplate/Tags/Add/Placeholder":{"title":"$:/language/EditTemplate/Tags/Add/Placeholder","text":"Neuer Tag"},"$:/language/EditTemplate/Tags/ClearInput/Caption":{"title":"$:/language/EditTemplate/Tags/ClearInput/Caption","text":"lösche Eingabefeld"},"$:/language/EditTemplate/Tags/ClearInput/Hint":{"title":"$:/language/EditTemplate/Tags/ClearInput/Hint","text":"Lösche Tag Eingabefeld"},"$:/language/EditTemplate/Tags/Dropdown/Caption":{"title":"$:/language/EditTemplate/Tags/Dropdown/Caption","text":"Tag Liste"},"$:/language/EditTemplate/Tags/Dropdown/Hint":{"title":"$:/language/EditTemplate/Tags/Dropdown/Hint","text":"Tag Liste anzeigen"},"$:/language/EditTemplate/Title/BadCharacterWarning":{"title":"$:/language/EditTemplate/Title/BadCharacterWarning","text":"Warnung: Folgende Zeichen im Titel können zu Problemen führen: <<bad-chars>>"},"$:/language/EditTemplate/Title/Exists/Prompt":{"title":"$:/language/EditTemplate/Title/Exists/Prompt","text":"Tiddler Name existiert bereits"},"$:/language/EditTemplate/Title/Relink/Prompt":{"title":"$:/language/EditTemplate/Title/Relink/Prompt","text":"Ändere ''<$text text=<<fromTitle>>/>'' -> ''<$text text=<<toTitle>>/>'' in //tags// und //list// Feld aller anderen Tiddler"},"$:/language/EditTemplate/Type/Dropdown/Caption":{"title":"$:/language/EditTemplate/Type/Dropdown/Caption","text":"Tiddler Typ Liste"},"$:/language/EditTemplate/Type/Dropdown/Hint":{"title":"$:/language/EditTemplate/Type/Dropdown/Hint","text":"Anzeigen der Tiddler Typ Liste"},"$:/language/EditTemplate/Title/References/Prompt":{"title":"$:/language/EditTemplate/Title/References/Prompt","text":"Die folgenden Referenz-Links zu diesem Tiddler werden NICHT automatisch geändert"},"$:/language/EditTemplate/Type/Delete/Caption":{"title":"$:/language/EditTemplate/Type/Delete/Caption","text":"Lösche Inhalts Typ"},"$:/language/EditTemplate/Type/Delete/Hint":{"title":"$:/language/EditTemplate/Type/Delete/Hint","text":"Lösche Inhalts Typ"},"$:/language/EditTemplate/Type/Placeholder":{"title":"$:/language/EditTemplate/Type/Placeholder","text":"Tiddler Format"},"$:/language/EditTemplate/Type/Prompt":{"title":"$:/language/EditTemplate/Type/Prompt","text":"Typ:"},"$:/language/Exporters/StaticRiver":{"title":"$:/language/Exporters/StaticRiver","text":"HTML - Statisch"},"$:/language/Exporters/JsonFile":{"title":"$:/language/Exporters/JsonFile","text":"JSON - Format"},"$:/language/Exporters/CsvFile":{"title":"$:/language/Exporters/CsvFile","text":"CSV - Format"},"$:/language/Exporters/TidFile":{"title":"$:/language/Exporters/TidFile","text":"TID - Text Format"},"$:/language/Docs/Fields/_canonical_uri":{"title":"$:/language/Docs/Fields/_canonical_uri","text":"Die komplette URI eines externen Foto Tiddlers. URI = Uniform Resource Identifier, Identifikator für Ressourcen im Internet."},"$:/language/Docs/Fields/author":{"title":"$:/language/Docs/Fields/author","text":"Name des Plugin-Authors"},"$:/language/Docs/Fields/bag":{"title":"$:/language/Docs/Fields/bag","text":"Der Name eines ~TiddlyWeb \"bags\" von dem der Tiddler kam."},"$:/language/Docs/Fields/caption":{"title":"$:/language/Docs/Fields/caption","text":"Der Text, der auf \"Tab-Buttons\" angezeigt wird."},"$:/language/Docs/Fields/code-body":{"title":"$:/language/Docs/Fields/code-body","text":"Das \"View Template\" wird den Tiddler Text als \"Code\" anzeigen, wenn dieses Feld auf: ''\"yes\"'' gesetzt wird."},"$:/language/Docs/Fields/color":{"title":"$:/language/Docs/Fields/color","text":"Der CSS Farbwert, der mit einem Tiddler assoziiert wird."},"$:/language/Docs/Fields/component":{"title":"$:/language/Docs/Fields/component","text":"Der Name einer Komponente, die für eine [[Alarm Anzeige|AlertMechanism]] verantwortlich ist."},"$:/language/Docs/Fields/core-version":{"title":"$:/language/Docs/Fields/core-version","text":"Zeigt die TiddlyWiki Version an, ab der ein Plugin verwendet werden kann."},"$:/language/Docs/Fields/current-tiddler":{"title":"$:/language/Docs/Fields/current-tiddler","text":"Wird verwendet um den \"obersten\" Tiddler in der [[Tiddler Historie|HistoryMechanism]] zwischen zu speichern."},"$:/language/Docs/Fields/created":{"title":"$:/language/Docs/Fields/created","text":"Datum an dem der Tiddler erstellt wurde."},"$:/language/Docs/Fields/creator":{"title":"$:/language/Docs/Fields/creator","text":"Name des Erstellers dieses Tiddlers."},"$:/language/Docs/Fields/dependents":{"title":"$:/language/Docs/Fields/dependents","text":"Listet die Abhängigkeiten bei \"plugins\" auf."},"$:/language/Docs/Fields/description":{"title":"$:/language/Docs/Fields/description","text":"Die Beschreibung für ein \"plugin\" oder einen \"modalen\" Dialog."},"$:/language/Docs/Fields/draft.of":{"title":"$:/language/Docs/Fields/draft.of","text":"Entwurf von - enthält den Titel des Tiddlers, zu dem dieser Entwurf-Tiddler gehört."},"$:/language/Docs/Fields/draft.title":{"title":"$:/language/Docs/Fields/draft.title","text":"Entwurf Titel - enthält den neuen Titel, wenn der Entwurf-Tiddler gespeichert wird."},"$:/language/Docs/Fields/footer":{"title":"$:/language/Docs/Fields/footer","text":"Der Fußnoten Text bei einem \"~Wizard-Dialog\""},"$:/language/Docs/Fields/hide-body":{"title":"$:/language/Docs/Fields/hide-body","text":"Der Textbereich eines Tiddlers wird verborgen, wenn dieses Feld auf ''\"yes\"'' gesetzt wird"},"$:/language/Docs/Fields/icon":{"title":"$:/language/Docs/Fields/icon","text":"Der Titel eines ~Icon-Tiddlers, der mit diesem Tiddler verbunden ist."},"$:/language/Docs/Fields/library":{"title":"$:/language/Docs/Fields/library","text":"Wenn dieses Feld=\"yes\" ist, dann soll der Tiddler als JavaScript Bibliothek gespeichert werden."},"$:/language/Docs/Fields/list":{"title":"$:/language/Docs/Fields/list","text":"Eine geordnete Tiddler Liste, die mit diesem Tiddler verbunden ist."},"$:/language/Docs/Fields/list-before":{"title":"$:/language/Docs/Fields/list-before","text":"Dient zum Einfügen von Tiddler Titeln in das \"list\" Feld. Wenn gesetzt, wird der neue Tiddler ''vor'' dem hier definierten Tiddler in die Liste eingefügt. Wenn vorhanden, aber leer, dann wird der neue Tiddler an den Anfang der Liste gesetzt."},"$:/language/Docs/Fields/list-after":{"title":"$:/language/Docs/Fields/list-after","text":"Dient zum Einfügen von Tiddler Titeln in das \"list\" Feld. Wenn gesetzt, wird der neue Tiddler ''nach'' dem hier definierten Tiddler in die Liste eingefügt."},"$:/language/Docs/Fields/modified":{"title":"$:/language/Docs/Fields/modified","text":"Datum, an dem der Tiddler zuletzt verändert wurde."},"$:/language/Docs/Fields/modifier":{"title":"$:/language/Docs/Fields/modifier","text":"Name der Person, die den Tiddler zuletzt verändert hat."},"$:/language/Docs/Fields/module-type":{"title":"$:/language/Docs/Fields/module-type","text":"Zeigt den Modul-typ bei JavaScript Tiddlern an."},"$:/language/Docs/Fields/name":{"title":"$:/language/Docs/Fields/name","text":"Ein Menschen lesbarer Name für einen \"plugin\" Tiddler."},"$:/language/Docs/Fields/parent-plugin":{"title":"$:/language/Docs/Fields/parent-plugin","text":"Enthält den Namen des Übergeordneten Plugins."},"$:/language/Docs/Fields/plugin-priority":{"title":"$:/language/Docs/Fields/plugin-priority","text":"Ein numerischer Wert, der die Priorität eines \"plugins\" festlegt."},"$:/language/Docs/Fields/plugin-type":{"title":"$:/language/Docs/Fields/plugin-type","text":"Der Typ eines \"plugins\"."},"$:/language/Docs/Fields/revision":{"title":"$:/language/Docs/Fields/revision","text":"Die Revisionsnummer eines Tiddlers. Wird von einem Server vergeben."},"$:/language/Docs/Fields/released":{"title":"$:/language/Docs/Fields/released","text":"Datum der ~TiddlyWiki Ausgabe."},"$:/language/Docs/Fields/source":{"title":"$:/language/Docs/Fields/source","text":"Eine Quelltext URL, verbunden mit diesem Tiddler."},"$:/language/Docs/Fields/subtitle":{"title":"$:/language/Docs/Fields/subtitle","text":"Der Untertitel für einen \"~Wizard-Dialog\"."},"$:/language/Docs/Fields/tags":{"title":"$:/language/Docs/Fields/tags","text":"Eine Liste von \"Tags\" für diesen Tiddler."},"$:/language/Docs/Fields/text":{"title":"$:/language/Docs/Fields/text","text":"Der Haupttext eines Tiddlers."},"$:/language/Docs/Fields/throttle.refresh":{"title":"$:/language/Docs/Fields/throttle.refresh","text":"Wenn es existiert, dann wird der \"refresh\" Zyklus des Tiddlers verzögert."},"$:/language/Docs/Fields/title":{"title":"$:/language/Docs/Fields/title","text":"Ein individueller einmaliger Name eines Tiddlers."},"$:/language/Docs/Fields/toc-link":{"title":"$:/language/Docs/Fields/toc-link","text":"Unterdrückt die Anzeige als Link, wenn der Wert auf ''\"no\"'' gesetzt wird"},"$:/language/Docs/Fields/type":{"title":"$:/language/Docs/Fields/type","text":"Legt den Typ eines Tiddlers fest (aka MIME-type)."},"$:/language/Docs/Fields/version":{"title":"$:/language/Docs/Fields/version","text":"Versions-Information eines \"plugins\"."},"$:/language/Docs/Fields/_is_skinny":{"title":"$:/language/Docs/Fields/_is_skinny","text":"Wenn es existiert, zeigt diese Feld an, dass das \"Text-Feld\" dynamisch vom Server geladen wird."},"$:/language/Filters/AllTiddlers":{"title":"$:/language/Filters/AllTiddlers","text":"Alle Tiddler außer System-Tiddler"},"$:/language/Filters/RecentSystemTiddlers":{"title":"$:/language/Filters/RecentSystemTiddlers","text":"Kürzlich veränderte Tiddler, inklusive System-Tiddler"},"$:/language/Filters/RecentTiddlers":{"title":"$:/language/Filters/RecentTiddlers","text":"Kürzlich veränderte Tiddler"},"$:/language/Filters/AllTags":{"title":"$:/language/Filters/AllTags","text":"Alle Tags außer System-Tags"},"$:/language/Filters/Missing":{"title":"$:/language/Filters/Missing","text":"Fehlende Tiddler"},"$:/language/Filters/Drafts":{"title":"$:/language/Filters/Drafts","text":"Entwurf Tiddler"},"$:/language/Filters/Orphans":{"title":"$:/language/Filters/Orphans","text":"Waisen Tiddler"},"$:/language/Filters/SystemTiddlers":{"title":"$:/language/Filters/SystemTiddlers","text":"System-Tiddler"},"$:/language/Filters/ShadowTiddlers":{"title":"$:/language/Filters/ShadowTiddlers","text":"Schatten-Tiddler"},"$:/language/Filters/OverriddenShadowTiddlers":{"title":"$:/language/Filters/OverriddenShadowTiddlers","text":"Überschriebene Schatten-Tiddler"},"$:/language/Filters/SessionTiddlers":{"title":"$:/language/Filters/SessionTiddlers","text":"Tiddler, die seit dem letzten Laden verändert wurden"},"$:/language/Filters/SystemTags":{"title":"$:/language/Filters/SystemTags","text":"System-Tags"},"$:/language/Filters/StoryList":{"title":"$:/language/Filters/StoryList","text":"Tiddler im \"story river\", außer <$text text=\"$:/AdvancedSearch\"/>"},"$:/language/Filters/TypedTiddlers":{"title":"$:/language/Filters/TypedTiddlers","text":"Nicht \"wiki-text\" Tiddler"},"GettingStarted":{"title":"GettingStarted","text":"\\define lingo-base() $:/language/ControlPanel/Basics/\nWillkommen bei ~TiddlyWiki, einem persönlichen nicht-linearen Web-Notizbuch.\n\nVor dem Start, vergewissern Sie sich, dass Sie dieses Wiki auch wirklich speichern können. Weitere Informationen finden Sie für:\n\n* Österreich: https://tiddlywiki.com/languages/de-AT\n* Deutschland: https://tiddlywiki.com/languages/de-DE\n* Allgemein (englisch): https://tiddlywiki.com \n\nErste Schritte:\n\n* Erstellen Sie einen neuen Tiddler mit dem \"Plus-Button\" in der rechten Navigationsleiste.\n* Einstellungen können im [[Kontrollpanel|$:/ControlPanel]] vorgenommen werden. Siehe: \"Zahnrad-Button\" \n** Das Anzeigen dieses Tiddlers können Sie verhindern, indem Sie die \"~DefaultTiddlers\" im ''Basis-Tab'' verändern.\n* Speichern wird mit dem \"Speichern-Button\" in der Navigationsleiste ausgelöst. \n* Österreich: [[Weitere Informationen zu WikiText|https://tiddlywiki.com/languages/de-AT/index.html#WikiText]]\n* Deutschland: [[Weitere Informationen zu WikiText|https://tiddlywiki.com/languages/de-DE/index.html#WikiText]]\n\nHinweis: Die österreichische und deutsche Version unterscheiden sich momentan nur in der Flagge, die bei der Standard Sprachauswahl angezeigt wird. In Zukunft können Beschriftungen der Benutzeroberfläche geringfügig von einander abweichen. zB: Jänner - Januar.\n\n!! Einrichten dieser ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|tc-table-no-border tc-first-col-min-width tc-first-link-nowrap|k\n| <$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link>|<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n| <$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link>|<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|^ <$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link><br><<lingo DefaultTiddlers/TopHint>>| <$edit-text tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"},"$:/language/Help/build":{"title":"$:/language/Help/build","description":"Ausführen, von vorkonfigurierten Befehlen.","text":"Dieser Befehl erstellt die vorkonfigurierten Ziele, der aktuellen Wiki Edition. Sind keine Ziele spezifiziert, dann werden all konfigurierten Ziele erstellt.\n\n```\n--build <target> [<target> ...]\n```\n\nZiele werden in der `tiddlywiki.info` Datei, im Wiki Verzeichnis konfiguriert.\n"},"$:/language/Help/clearpassword":{"title":"$:/language/Help/clearpassword","description":"Lösche das Passwort, das für die vorhergehenen Verschlüsselungen verwendet wurde.","text":"Lösche das Passwort, das für die vorhergehenen Verschlüsselungen verwendet wurde.\n\n```\n--clearpassword\n```\n"},"$:/language/Help/commands":{"title":"$:/language/Help/commands","description":"Ausführen von Befehlen aus einem Tiddler","text":"Sequentielle Abarbeitung von Befehlen aus einem Tiddler.\n\n```\n--commands <filter>\n```\n\nBeispiele\n\n`--commands \"[enlist:raw{$:/build-commands-as-text}]\"`\n\n`--commands \"[{$:/build-commands-as-json}jsonindexes[]] :map[{$:/build-commands-as-json}jsonget<currentTiddler>]\"`"},"$:/language/Help/default":{"title":"$:/language/Help/default","text":"\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nVerwendung: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nVerfügbare Befehle:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nDetailierte Informationen zu den Befehlen:\n\n```\ntiddlywiki --help <command>\n```\n"},"$:/language/Help/deletetiddlers":{"title":"$:/language/Help/deletetiddlers","description":"Löscht eine Gruppe von Tiddlern","text":"<<.from-version \"5.1.20\">> Löscht eine Gruppe von Tiddlern, die über einen Filter definiert werden.\n\n```\n--deletetiddlers <filter>\n```"},"$:/language/Help/editions":{"title":"$:/language/Help/editions","description":"Listet alle verfügbaren TiddlyWiki Editionen auf","text":"Listet alle verfügbaren TiddlyWiki Editionen auf.\n\n```\n--editions\n```\n\nSie können ein neues Wiki mit dem `--init` Kommando erstellen. Dabei wird eine der angezeigten Editionen \"geklont\".\n"},"$:/language/Help/fetch":{"title":"$:/language/Help/fetch","description":"Fetch tiddlers from wiki by URL","text":"Abrufen eines oder mehrerer Dateien über HTTP/HTTPS. Importieren der tiddler, die dem Filter entsprechen. Umwandeln der ankommenden Titel, wenn nötig.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nWird der `file` Parameter verwendet, wird nur eine einzelne Datei geholt. Der erste Parameter ist die URL von der die Datei ''importiert'' werden soll.\n\nWird der `files` Parameter verwendet, werden mehrere Dateien geholt. In diesem Fall ist der erste Parameter ein Filter, der eine Liste von URLs ergibt, von denen die Dateien gelesen werden sollen. Zum Beispiel: Mehrere Tiddler sind getagged mit: `remote-server` und enthalten ein Feld: `url`. ... Der Filter `[tag[remote-server]get[url]]` wird alle verfügbaren URLs ansprechen.\n\nWerden die `raw-file` oder `raw-files` Varianten verwendet, wird der Klartext der Datei importiert. Es wird nicht versucht die Import-logik anzuwenden.\n\nDer `<import-filter>` Parameter spezifiziert jene Tiddler, die importiert werden sollen. Ohne diesen Parameter wird standardmäßig `[all[tiddlers]]` als Filter verwendet.\n\nDer `<transform-filter>` Parameter, spezifiziert einen Filter, mit dem der Tiddler Name verändert werden kann. zB: `[addprefix[$:/meinImport/]]` würde `$:/meinImport/` allen Tiddler Namen voran stellen.\n\nWird `--verbose` vor dem `--fetch` Befehl benutzt, dann werden erweiterte Diagnose Infos ausgegeben.\n\nHinweis: ~TiddlyWiki wird ''keine'' veralteten plugins importieren.\n\nDas folgende Beispiel wird alle \"nicht-system\" Tiddler von https://tiddlywiki.com holen und in ein `JSON` file speichern.\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nDas folgende Beispiel holt die \"favicon\" Datei von tiddlywiki.com und speichert sie als \"output.ico\".\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n''Wichtig!''\n\nEs wird darauf hingewiesen, dass der Parameter `\"[[Icon Tiddler]]\"` für den `--fetch` Befehl zusätzliche Klammern enthält. Er wird hier als Tranformations-Filter verwendet!\n\nDer zweite `\"Icon Tiddler\"` Parameter für `--savetiddler` enthält keine eckigen Klammern. Er wird als Dateiname verwendet\n\n"},"$:/language/Help/help":{"title":"$:/language/Help/help","description":"Anzeige der Hilfe für die TiddlyWiki Befehle.","text":"Anzeige der Hilfe für die ~TiddlyWiki Befehle.\n\nBeispiel:\n\n```\n--help [<command>]\n```\n\nWird der Parameter <command> nicht angegeben, werden alle Befehle aufgelistet.\n"},"$:/language/Help/import":{"title":"$:/language/Help/import","description":"Importiert mehrere Tiddler aus einer Datei","text":"Dieser Befehl importiert / extrahiert Tiddler aus folgenden Dateien:\n\n* ~TiddlyWiki `*.html`\n* `*.tiddler`\n* `*.tid`\n* `*.json`\n* oder andere lokale `text` Dateien\n\nDer `<deserializer>` Parameter muss angegeben werden. Anders als beim `--load` Befehl, der diese Information aus der Dateiendung ableiten kann.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nTiddlyWiki enthält folgende `deserializer` Standard-Typen:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nDer Tiddler-Titel entspricht nach dem Import, dem Dateinamen.\n\nDie Zeichenkodierung ist auf `utf8` eingestellt. Sie kann aber auf `base64` für binäre Daten geändert werden.\n\nHinweis: ~TiddlyWiki importiert nur neuere Plugins, als jene, die bereits geladen sind.\n"},"$:/language/Help/init":{"title":"$:/language/Help/init","description":"Initialisiere eine neues Wiki Verzeichnis.","text":"Initialisiere eine neues [[Wiki Verzeichnis|WikiFolders]] mit der Kopie einer Edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nBeispiel:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nAnmerkung:\n\n* Das Wiki Verzeichnis wird angelegt, wenn es nicht existiert.\n* Der <edition> Parameter ist standardmäßig: ''empty''.\n* Der --init Befehl bricht ab, wenn das angegebene Verzeichnis nicht leer ist.\n* Der --init Befehl löscht alle `includeWikis` Definitionen aus der neuen `tiddlywiki.info` Datei\n* Wenn mehrere Editionen importiert werden, wird die zuletzt importierte `tidlywiki.info` Datei aktiv sein. Alle anderen weden überschrieben.\n\n* `--editions` listet alle verfügbaren Editionen auf.\n"},"$:/language/Help/listen":{"title":"$:/language/Help/listen","description":"Definiert das HTTP-Server Interface für Tiddlywiki","text":"Stellt das Wiki über einen HTTP-Server zur Verfügung.\n\nDie \"listen\" Parameter werden wie folgt verwendet: \n\n```\n--listen [<name>=<wert>]...\n```\n\nAlle Parameter sind optional, die Reihenfolge ist beliebig und es werden \"sichere\" standard parametern verwendet.\n\nMögliche Parameter:\n\n* ''host'' - Host-Name, von dem übertragen wird. (Standard: \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - Prefix, der auf alle Pfade angewendet wird\n* ''port'' - Port Nummer, die überwacht werden soll; Nicht-numerische Werte werden als System Umgebungs-Variable interpretiert. (Standard: 8080)\n* ''credentials'' - Pfad zur Authentifizierungsdatei im CSV-format. Angabe ist relativ zum Wiki-Verzeichnis\n* ''anon-username'' - Name, der für anonymer Benutzer verwendet wird, um bearbeitete Tiddler zu markieren\n* ''username'' - Benutzername für die Basis-Authentifizierung\n* ''password'' - Passwort für die Basis-Authentifizierung\n* ''authenticated-user-header'' - Optionaler HTTP Header-Name für vertrauenswürdige, authentifizierte Benutzer\n* ''readers'' - Komma-separierte Liste für Benutzer, mit Schreiberlaubnis\n* ''writers'' - Komma-separierte Liste für Benutzer, mit Leseerlaubnis\n* ''csrf-disable'' - \"yes\" bedeutet, dass CSRF checks deaktiviert sind. (Standard: \"no\")\n* ''root-tiddler'' - Tiddler, der für den \"Root-Pfad\" verwendet wird. (Standard: \"$:/core/save/all\")\n* ''root-render-type'' - Darstellungs-Type, die für den Root-Tiddler verwendet wird. (Standard: \"text/plain\")\n* ''root-serve-type'' - Inhalts-Type, die für den Root-Tiddler verwendet wird. (Standard: \"text/html\")\n* ''tls-cert'' - Pfad zur \"TLS certificate\" Datei (relativ zum Wiki Verzeichnis)\n* ''tls-key'' - Pfad zur \"TLS key\" Datei (relativ zum Wiki Verzeichnis)\n* ''debug-level'' - \"debug\" bewikt eine detailierte Anzeige der HTTP Anfrage-Parameter. (Standard: \"none\")\n* ''gzip'' - Wenn auf \"yes\" gesetzt, dann wird gzip Kompression aktiviert. (Standard: \"no\")\n* ''use-browser-cache'' - Ist dieser Parameter auf \"yes\" gesetzt kann der Browser Inhalte zwischenspeichern um Übertragungsbandbreite zu sparen. (Standard: \"no\")\n\nFür weitere Sicherheitshinweise und Informationen für die Verwendung in lokalen Netzwerken siehe: WebServer auf TiddlyWiki.com\n"},"$:/language/Help/load":{"title":"$:/language/Help/load","description":"Lade Tiddler von einer Datei.","text":"Lade Tiddler aus einer TiddlyWiki `.html`, `.tiddler`, `.tid`, `.json` oder anderen lokalen Datei.\n\nDie Umsetzung der geladenen Datei wird anhand der Datei-Erweiterung bestimmt. Verwenden sie den alternativen `import` Befehl, wenn sie den Umsetzungstyp ändern möchten.\n\n\n```\n--load <filepath> [noerror]\n--load <dirpath> [noerror]\n```\n\nDer \"load\" Befehl erzeugt eine Fehlermeldung, wenn keine Tiddler gefunden werden. Diese Verhalten kann mit dem Parameter \"noerror\" unterdrückt werden.\n\nUm Daten aus einer verschlüsselten TiddlyWiki Datei zu laden, muss zuerst mit dem \"password\" Parameter ein Passwort definiert werden. \n\nBeispiel:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nHinweis: TiddlyWiki wird nur neuere Versionen eines bestehenden Plugins laden!\n"},"$:/language/Help/makelibrary":{"title":"$:/language/Help/makelibrary","description":"Erstellt die \"Upgrade Bibliothek\", die vom upgrade Prozess benötigt wird","text":"Erstellt den tiddler: `$:/UpgradeLibrary`, der vom upgrade Prozess benötigt wird.\n\nDie \"Upgrade Bibliothek\" ist ein \"normales\" Plugin, vom Typ: `library`. Es enthält eine Kopie jedes Plugins, Themas und Sprachpacketes, das im TiddlyWiki Archiv enthalten ist.\n\nDieser Befehl ist ein \"interner\" Befehl! Er ist nur relevant für Benutzer, die einen spezifischen \"Upgrade Prezess\" erstellen müssen. zB: Umwandeln von einem Tiddler in mehrere Tiddler, um Inkompatibilitäten zu vermeiden.\n\n```\n--makelibrary <title>\n```\n\nDas \"title\" Argument ist standardmäßig: `$:/UpgradeLibrary`.\n"},"$:/language/Help/notfound":{"title":"$:/language/Help/notfound","text":"Keine Hilfe zu diesem Thema gefunden!"},"$:/language/Help/output":{"title":"$:/language/Help/output","description":"Setzt das Basis Ausgabeverzeichnis für die folgenden Befehle.","text":"Setzt das Basis Ausgabeverzeichnis für die folgenden Befehle. Das Standard Verzeichnis heißt: `output` und ist ein Unterverzeichnis des `edition` Verzeichnisses.\n\n```\n--output <pathname>\n```\n\nIst das spezifizierte Verzeichnis \"relativ\", dann wird es relativ zum bestehenden Arbeitsverzeichnis angelegt.\nZum Beispiel: `--output .` setzt das Ausgabeverzeichnis auf das aktuelle Verzeichnis.\n"},"$:/language/Help/password":{"title":"$:/language/Help/password","description":"Setzen eines Passwortes für Verschlüsselungsoperationen.","text":"Setzen eines Passwortes für Verschlüsselungsoperationen\n\n```\n--password <password>\n```\n\nHinweis: Diese Option kann nicht verwendet werden, um ein \"Server Passwort\" festzulegen! Informationen zum Server Passwort siehe \"--server\" Kommando.\n"},"$:/language/Help/render":{"title":"$:/language/Help/render","description":"Ausgabe individueller Tiddler in Dateien","text":"Individuelle Tiddler werden anhand von Filtern spezifiziert, gelesen und in Dateien umgesetzt.\n\nOptionell kann eine Template-Datei angegeben werden. In diesem Fall wird nicht der Inhalt des Tiddlers, sondern des Templates umgesetzt. Die `currentTiddler` Variable wird auf den Titel, des auszugebenden, Tiddlers gesetzt.\n\nEs können noch zusätzliche Variablen per Name und Wert gesetzt werden.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [ [<name>] [<value>] ]*\n```\n\n* ''tiddler-filter'': Ein Filter, der die Auszugebenden Tiddler eindeutig spezifiziert. \n* ''filename-filter'': [Option] Filter, der aus Tiddler Titeln, Pfadnamen extrahiert. Wenn weggelassen, dann wird der Standard verwendet: `[is[tiddler]addsuffix[.html]]`, welcher den Titel als Dateiname verwendet.\n* ''render-type'': [Option] Ausgabe Type: `text/html` (Standard) generiert HTML Text und `text/plain` gibt den \"reinen\" Text Inhalt zurück. `text/plain` ignoriert HTML Marker und andere \"nicht-druckbare\" Zeichen.\n* ''template'': [Option] Template, das verwendet werden soll\n* ''name'': [Option] Name einer zusätzlichen Variablen.\n* ''value'': [Option] Wert dieser zusätzlichen Variablen.\n\nStandardmäßig sind die Dateinamen \"relativ\" zum `output` Verzeichnis, des `edition` Verzeichnisses.\n\nMit dem `--output` Befehl kann die Ausgabe in jedes beliebige Verzeichnis umgeleitet werden.\n\nWichtig:\n\n* Das `output` Verzeichnis wird nicht gelöscht, bevor neue Dateien geschrieben werden.\n* Verzeichnisse und Dateien werden automatisch angelegt, sollten sie nicht vorhanden sein.\n* Wenn eine Datei Leerzeichen enthält, dann muss dies ''doppelt'' angezeigt werden. Für TiddlyWiki mit eckigen Klammern `[[]]` und für die Kommandozeile mit Hochkomma \"\". Zum Beispiel: `--render \"[[Motovun Jack.jpg]]\"`\n* Dateinamens-Filter zeigen immer auf den Titel, des gerade umzusetzenden Tiddlers. Das erlaubt uns, diesen als Basis für den Dateinamen zu verwenden. zB: `[encodeuricomponent[]addprefix[static/]]` ... Verwendet eine URI-Enkodierung für jeden Dateinamen und stellt das Wort `static/` als Pfadname voran. \n* Es können mehrere ''name/value'' Paare verwendet werden.\n* Der `--render` Befehl ist flexibler und ersetzt daher `--rendertiddler` und `--rendertiddlers`, welche mit V5.1.15 auslaufen!\n\nBeispiel:\n\n* `--render '[!is[system]]' '[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]'` ... Übersetzt alle Nicht-System Tiddler und schreibt sie in ein Unterverzeichnis `tiddlers/` mit URL-kodiertem Titel und der Erweiterung `.html`\n\n* `--render '.' 'tiddlers.json' 'text/plain' '$:/core/templates/exporters/JsonFile' 'exportFilter' '[tag[HelloThere]]'` -- Übersetzt all Tiddler mit dem Tag: \"HelloThere\" in eine JSON Datei mit dem namen \"tiddlers.json\"\n"},"$:/language/Help/rendertiddler":{"title":"$:/language/Help/rendertiddler","description":"Ausgabe eines individuellen Tiddlers, in einem spezifizierten Format.","text":"''WICHTIG:''\n\n* Der `--rendertiddler` Befehl wird ab V5.1.15 durch `--render` ersetzt.\n* `--rendertiddler` wird auslaufen und sollte daher nicht mehr verwendet werden!\n\nAusgabe eines individuellen Tiddlers, in einem spezifizierten Format (standard: `text/html`) und Dateinamen.\n\nOptional kann ein Template tiddler angegeben werden. Die \"currentTiddler\" Variable wird auf den Tiddler gesetzt, der zu rendern ist.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nStandardmäßig ist das `output` Verzeichnis ein Unterverzeichnis im `edition` Verzeichnis. Der `--output` Befehl kann verwendet werden, um ein anderes Verzeichnis auszuwählen.\n\nNicht vorhandene Verzeichnisse werden automatisch erstellt.\n\n''Beispiel:''\n\nDer folgende Befehl speichert alle tiddler mit dem `tag: done` in eine `JSON` Datei mit dem Namen: `output.json`. Das Template `$:/core/templates/exporters/JsonFile` wird auf die zu speichernden Daten angewandt.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"},"$:/language/Help/rendertiddlers":{"title":"$:/language/Help/rendertiddlers","description":"Gefilterte Ausgabe von Tiddlern, in einem spezifizierten Format.","text":"''WICHTIG:''\n\n* Der `--rendertiddlers` Befehl wird ab V5.1.15 durch `--render` ersetzt.\n* `--rendertiddlers` wird auslaufen und sollte daher nicht mehr verwendet werden!\n\nGefilterte Ausgabe mehrerer Tiddler, in ein angegebenes Dateiformat (standard: `text/html`) mit spezifischer Erweiterung (Standard: `.html`).\n\n```\n--rendertiddlers '<filter>' <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nBeispiel:\n\n```\n--rendertiddlers '[!is[system]]' $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nStandardmäßig ist das `output` Verzeichnis ein Unterverzeichnis im `edition` Verzeichnis. Der `--output` Befehl kann verwendet werden, um ein anderes Verzeichnis auszuwählen.\n\nNicht vorhandene Verzeichnisse werden automatisch erstellt und enthaltene Dateien werden gelöscht. Mit dem \"noclean\" Parameter, kann das löschen vorhandener Dateien unterdrückt werden.\n"},"$:/language/Help/save":{"title":"$:/language/Help/save","description":"Speichert Klartext Tiddler als Dateien","text":"Speichert einzelne oder mehrere Klartext Tiddler als Text oder im Binärformat in Dateien. Die zu speichernden Tiddler werden über Filter spezifiziert. \n\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': Ein Filter, der die zu speichernden Tiddler anzeigt. \n* ''filename-filter'': [Option] Ein Filter, der die Tiddler Titel in Verzeichnis Namen aufspaltet. Wenn nicht spezifiziert, dann wird: `[is[tiddler]]` verwendet. `[is[tiddler]]` übernimmt den Tiddler Titel unverändert.\n\nStandardmäßig sind die Dateinamen \"relativ\" zum `output` Verzeichnis, des `edition` Verzeichnisses.\n\nMit dem `--output` Befehl kann die Ausgabe in jedes beliebige Verzeichnis umgeleitet werden.\n\nHinweise:\n\n* Das `output` Verzeichnis wird nicht gelöscht, bevor neue Dateien geschrieben werden.\n* Verzeichnisse und Dateien werden automatisch angelegt, sollten sie nicht vorhanden sein.\n* Wenn eine Datei Leerzeichen enthält, dann muss dies ''doppelt'' angezeigt werden. Für TiddlyWiki mit eckigen Klammern `[[]]` und für die Kommandozeile mit Hochkomma \"\". Zum Beispiel: `--render \"[[Motovun Jack.jpg]]\"`\n* Dateinamens-Filter zeigen immer auf den Titel, des gerade umzusetzenden Tiddlers. Das erlaubt uns, diesen als Basis für den Dateinamen zu verwenden. zB: `[encodeuricomponent[]addprefix[static/]]` ... Verwendet eine URI-Enkodierung für jeden Dateinamen und stellt das Wort `static/` als Pfadname voran. \n* Der `--save` Befehl ist flexibler und ersetzt daher `--savetiddler` und `--savetiddlers`, welche mit V5.1.15 auslaufen!\n\nBeispiel:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- Übersetzt alle Nicht-System Bild Tiddler in Datein und schreibt diese URL-kodiert in das Unterverzeichnis `tiddlers/`\n"},"$:/language/Help/savetiddler":{"title":"$:/language/Help/savetiddler","description":"Speichert einen Tiddler als File.","text":"''WICHTIG:''\n\n* Der `--savetiddler` Befehl wird ab V5.1.15 durch `--save` ersetzt. \n* `--savetiddler` wird auslaufen und sollte daher nicht mehr verwendet werden!\n\nSpeichert einen individuellen Tiddler im Text- oder Binärformat mit dem angegebenen Dateinamen.\n\n```\n--savetiddler <title> <filename>\n```\n\nStandardmäßig ist das `output` Verzeichnis ein Unterverzeichnis im `edition` Verzeichnis. Der `--output` Befehl kann verwendet werden, um ein anderes Verzeichnis auszuwählen.\n\nNicht vorhandene Verzeichnisse werden automatisch erstellt.\n"},"$:/language/Help/savetiddlers":{"title":"$:/language/Help/savetiddlers","description":"Speichert eine Gruppe von Tiddler in ein Verzeichnis","text":"''WICHTIG:''\n\n* Der `--savetiddlers` Befehl wird ab V5.1.15 durch `--save` ersetzt. \n* `--savetiddlers` wird auslaufen und sollte daher nicht mehr verwendet werden!\n\nSpeichert eine Gruppe von Tiddler im Text- oder Binärformat in ein angegebenes Verzeichnis.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nStandardmäßig ist das `output` Verzeichnis ein Unterverzeichnis im `edition` Verzeichnis. Der `--output` Befehl kann verwendet werden, um ein anderes Verzeichnis auszuwählen.\n\nWichtig: Alle Dateien im Ausgabeverzeichnis werden automatisch gelöscht, wenn dieser Befehl verwendet wird. Um dies zu verhindern kann der ''noclean'' Parameter verwendet werden.\n\nNicht vorhandene Verzeichnisse im Pfadnamen werden automatisch erstellt.\n"},"$:/language/Help/savewikifolder":{"title":"$:/language/Help/savewikifolder","description":"Speichert ein Wiki in einen neues Verzeichnis","text":"<<.from-version \"5.1.20\">> Speichert das aktuelle Wiki als ein Wiki-Verzeichnis. Inklusive Tiddlern, Plugins und Konfiguration:\n\n```\n--savewikifolder <wikifolderpath> [<filter>] [ [<name>=<value>] ]*\n```\n\n* Das Zielverzeichnis muss leer sein, oder nicht existent\n* Der \"filter\" Parameter definiert, welche Tiddler inkludiert werden. Diser Parameter is optional. Standard: `[all[tiddlers]]`\n* Plugins des offiziellen Plugin-Verzeichnisses werden durch Referenzen zu den Plugins in der `tiddlywiki.info` Datei ersetzt.\n* Drittanbieter Plugins werden in ihre eigenen Verzeichnisse entpackt\n\nFolgende Optionen werden unterstützt:\n\n* ''filter'': Ein \"Filter-Run\" der die Tiddler definiert, die ausgegeben werden sollen.\n\n* ''explodePlugins'': Standard ist: \"yes\"\n** \"yes\": wird Plugins \"aufspalten\" und einzelne \"Shadow Tiddler\" in ein  \"tiddlers/<plugin>\" Verzeichnis speichern.\n** \"no\": Wird das \"aufspalten\" von Plugins in einzelne \"Shadow Tiddler\" unterbinden. Das plugin selbst wird als 1 JSON Tiddler gespeichert.\n\nDiese Funktionen werden vor allem dazu verwendet, eine Wiki-Datei in einzelne Tiddler in einem Wiki-Verzeichnis umzuwandeln:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder\n```\n\nDer folgende Befehl wird das Plugin als JSON-Tiddler in das \"tiddlers\" Verzeichnis speichern:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder explodePlugins=no\n```"},"$:/language/Help/server":{"title":"$:/language/Help/server","description":"(Dieser Befehl ist abgekündigt! - Neu ist: \"listen\") -- Stellt einen HTTP server für TiddlyWiki zur Verfügung.","text":"TiddlyWiki bringt einen einfachen Web-Server mit.\n\nDer Server kann spezifische Tiddler im angegebenen Format anzeigen (rendern). Zudem können einzelne, oder mehrere Tiddler im JSON Format übertragen werden. Die unterstützten HTTP Funktionen sind: `GET`, `PUT` und `DELETE`\n\n```\n--server <port> <root-tiddler> <root-render-type> <root-serve-type> <username> <password> <host> <path-prefix> <debug-level>\n```\n\nDie Parameter sind: \n\n* ''port'' - Port Nummer mit der kommuniziert werden soll (Standard: \"8080\"). Ein \"nicht-numerisher\" Wert wird als System-Umgebungsvariable interpretiert, von der der Wert gelesen werden soll.\n* ''root-tiddler'' - Der Tiddler, der als ~Basis-Tiddler verwendet werden soll ( Standard: \"$:/core/save/all\").\n* ''root-render-type'' -  MIME-Type, zu dem der ~Basis-Tiddler \"gerendert\" werden soll ( Standard: \"text/plain\").\n* ''root-serve-type'' - MIME-Type, mit dem der Basis-Tiddler ausgeliefert werden soll ( Standard: \"text/html\").\n* ''username'' - Benutzer Name, mit dem veränderte Tiddler signiert werden.\n* ''password'' - Passwort mit dem eine sehr \"simple\" Zugangsbeschränkung aufgebaut werden kann.\n* ''host'' - ~Host-Name von dem ausgeliefert werden soll. Host ist optional ( Standard: \"127.0.0.1\" oder auch \"localhost\").\n* ''path-prefix'' - Optionales prefix für Pfade.\n* ''debug-level'' - \"debug\" bewikt eine detailierte Anzeige der HTTP Anfrage-Parameter. (Standard: \"none\")\n\nWenn beim Serverstart ein Passwort angegeben wird, dann wird der Benutzer aufgefordert den Benutzernamen und das Passwort einzugeben, bevor ein Wiki angezeigt wird. ACHTUNG: Das Passwort wird im Klartext übertragen. Diese Vorgehensweise ist nicht für den Einsatz im Netz geeignet.\n\nBeispiel:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MeinBenutzerName passw0rt\n```\n\nDer Name und das Passwort können als \"leere\" Zeichenketten definiert werden, wenn ein \"hostname\" oder \"pathprefix\" nötig ist, jedoch kein Passwort verwendet werden soll.\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nWenn Sie eine Addresse wie oben verwenden, dann ist der Server für das lokale Netzwerk sichtbar. Weitere Sicherheitshinweise finden sie unter: WebServer auf tiddlywiki.com\n\nEs ist möglich mehrere TiddlyWiki Server gleichzeitig zu starten. Jeder Server muss jedoch mit einem eigenen Port gestartet werden. Es kann sinnvoll sein, den Prozess mit lokalen \"Umgebungsvariable\" zu starten. Hier wird \"MEINE_PORT_NUMMER\" als Beispiel verwendet.\n\n\n```\n--server MEINE_PORT_NUMMER $:/core/save/all text/plain text/html MyUserName passw0rd\n```"},"$:/language/Help/setfield":{"title":"$:/language/Help/setfield","description":"Experimentell - Setzt ein Tiddler \"field\" auf einen bestimmten Wert","text":"//Wichtig! Dieser Befehl is experimentell und kann während der Betaphase geändert oder ersetzt werden!//\n\nSetzt ein spezifiziertes Feld, für eine Gruppe von Tiddlern. Ein Template wird \"wikifiziert\" und das Ergebnis in das Feld geschrieben. Die `currentTiddler` Variable wird auf den jeweiligen Tiddler gesetzt. \n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - Filter, der die zu modifizierenden Tiddler auswählt.\n* ''fieldname'' - Das zu verändernde Feld (Standardwert: \"text\").\n* ''templatetitle'' - Der zu wikifizierende Vorlagen Tiddler, dessen Ergebnis in das Feld geschrieben wird. Wenn Leer, dann wird das Feld gelöscht.\n* ''rendertype'' - Der Text Typ für den \"rendering\" Vorgang (Standardwert: \"text/plain\"; \"text/html\" kann verwendet werden, um \"HTML tags\" zu erzeugen).\n"},"$:/language/Help/unpackplugin":{"title":"$:/language/Help/unpackplugin","description":"Extrahiere Tiddler aus einem Plugin","text":"Extrahiert alle Tiddler aus einem plugin und schreibt diese als einzelne Tiddler Dateien:\n\n```\n--unpackplugin <title>\n```\n"},"$:/language/Help/verbose":{"title":"$:/language/Help/verbose","description":"Aktiviert die erweiterte Fehlerausgabe.","text":"Aktiviert die erweiterte Fehlerausgabe. Nützlich um Fehler zu finden.\n\n```\n--verbose\n```\n"},"$:/language/Help/version":{"title":"$:/language/Help/version","description":"Gibt die Versionsnummer von TiddlyWiki aus.","text":"Gibt die Versionsnummer von TiddlyWiki aus.\n\n```\n--version\n```\n"},"$:/language/Import/Editor/Import/Heading":{"title":"$:/language/Import/Editor/Import/Heading","text":"Bilder in den Editor importieren."},"$:/language/Import/Imported/Hint":{"title":"$:/language/Import/Imported/Hint","text":"Folgende Tiddler wurden importiert:"},"$:/language/Import/Listing/Cancel/Caption":{"title":"$:/language/Import/Listing/Cancel/Caption","text":"Abbrechen"},"$:/language/Import/Listing/Cancel/Warning":{"title":"$:/language/Import/Listing/Cancel/Warning","text":"Möchten Sie den Import abbrechen?"},"$:/language/Import/Listing/Hint":{"title":"$:/language/Import/Listing/Hint","text":"Diese Tiddler können importiert werden:"},"$:/language/Import/Listing/Import/Caption":{"title":"$:/language/Import/Listing/Import/Caption","text":"Importieren"},"$:/language/Import/Listing/Select/Caption":{"title":"$:/language/Import/Listing/Select/Caption","text":"Auswahl"},"$:/language/Import/Listing/Status/Caption":{"title":"$:/language/Import/Listing/Status/Caption","text":"Status"},"$:/language/Import/Listing/Title/Caption":{"title":"$:/language/Import/Listing/Title/Caption","text":"Titel"},"$:/language/Import/Listing/Preview":{"title":"$:/language/Import/Listing/Preview","text":"Vorschau:"},"$:/language/Import/Listing/Preview/Text":{"title":"$:/language/Import/Listing/Preview/Text","text":"Text"},"$:/language/Import/Listing/Preview/TextRaw":{"title":"$:/language/Import/Listing/Preview/TextRaw","text":"Text - roh"},"$:/language/Import/Listing/Preview/Fields":{"title":"$:/language/Import/Listing/Preview/Fields","text":"Felder"},"$:/language/Import/Listing/Preview/Diff":{"title":"$:/language/Import/Listing/Preview/Diff","text":"Diff - Text"},"$:/language/Import/Listing/Preview/DiffFields":{"title":"$:/language/Import/Listing/Preview/DiffFields","text":"Diff - Felder"},"$:/language/Import/Listing/Rename/Tooltip":{"title":"$:/language/Import/Listing/Rename/Tooltip","text":"Tiddler vorm Importieren umbenennen"},"$:/language/Import/Listing/Rename/Prompt":{"title":"$:/language/Import/Listing/Rename/Prompt","text":"Umbenennen in:"},"$:/language/Import/Listing/Rename/ConfirmRename":{"title":"$:/language/Import/Listing/Rename/ConfirmRename","text":"Tiddler umbenennen"},"$:/language/Import/Listing/Rename/CancelRename":{"title":"$:/language/Import/Listing/Rename/CancelRename","text":"Abbrechen"},"$:/language/Import/Listing/Rename/OverwriteWarning":{"title":"$:/language/Import/Listing/Rename/OverwriteWarning","text":"Ein Tiddler mit diesem Titel existiert bereits."},"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible":{"title":"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible","text":"Unterdrückte, inkompatible oder veraltete \"plugins\"."},"$:/language/Import/Upgrader/Plugins/Suppressed/Version":{"title":"$:/language/Import/Upgrader/Plugins/Suppressed/Version","text":"Einige \"plugins\" weden unterdrückt! Importierte plugins: <<incoming>> sind älter als existierende: <<existing>>."},"$:/language/Import/Upgrader/Plugins/Upgraded":{"title":"$:/language/Import/Upgrader/Plugins/Upgraded","text":"Aktualisieren der plugins von: <<incoming>> nach: <<upgraded>>."},"$:/language/Import/Upgrader/State/Suppressed":{"title":"$:/language/Import/Upgrader/State/Suppressed","text":"Unterdrückte temporäre Status Tiddler."},"$:/language/Import/Upgrader/System/Disabled":{"title":"$:/language/Import/Upgrader/System/Disabled","text":"Deaktivierter \"System-Tiddler\"."},"$:/language/Import/Upgrader/System/Suppressed":{"title":"$:/language/Import/Upgrader/System/Suppressed","text":"Unterdrückte \"System Tiddler\"."},"$:/language/Import/Upgrader/System/Warning":{"title":"$:/language/Import/Upgrader/System/Warning","text":"\"Core Modul Tiddler\"."},"$:/language/Import/Upgrader/System/Alert":{"title":"$:/language/Import/Upgrader/System/Alert","text":"Sie sind dabei einen Tiddler zu importieren, der einen \"Core Tiddler\" überschreibt. Diese Aktion wird nicht empfohlen! Das System kann instabil werden."},"$:/language/Import/Upgrader/ThemeTweaks/Created":{"title":"$:/language/Import/Upgrader/ThemeTweaks/Created","text":"Migrieren der \"theme tweaks\" von: <$text text=<<from>>/>."},"$:/language/Import/Upgrader/Tiddler/Disabled":{"title":"$:/language/Import/Upgrader/Tiddler/Disabled","text":"Deaktivierter Tiddler."},"$:/language/Import/Upgrader/Tiddler/Selected":{"title":"$:/language/Import/Upgrader/Tiddler/Selected","text":"Ausgewählter Tiddler."},"$:/language/Import/Upgrader/Tiddler/Unselected":{"title":"$:/language/Import/Upgrader/Tiddler/Unselected","text":"Auswahl aufgehoben."},"$:/language/AboveStory/ClassicPlugin/Warning":{"title":"$:/language/AboveStory/ClassicPlugin/Warning","text":"Es scheint, Sie möchten ein Plugin verwenden, dass für [[TiddlyWiki Classic|https://tiddlywiki.com/#TiddlyWikiClassic]] entwickelt wurde. Diese Plugins können jedoch mit ~TiddlyWiki Version 5 nicht verwendet werden. ~TiddlyWiki Classic plugin erkannt:"},"$:/language/BinaryWarning/Prompt":{"title":"$:/language/BinaryWarning/Prompt","text":"Dieser Tiddler enthält binäre Daten."},"$:/language/ClassicWarning/Hint":{"title":"$:/language/ClassicWarning/Hint","text":"Dieser Tiddler wurde im TiddlyWiki Classic Format erstellt. Dieses Format ist nur teilweise kompatibel mit TiddlyWiki Version 5. Mehr Info finden Sie unter: https://tiddlywiki.com/static/Upgrading.html"},"$:/language/ClassicWarning/Upgrade/Caption":{"title":"$:/language/ClassicWarning/Upgrade/Caption","text":"upgrade"},"$:/language/CloseAll/Button":{"title":"$:/language/CloseAll/Button","text":"alle schließen"},"$:/language/ColourPicker/Recent":{"title":"$:/language/ColourPicker/Recent","text":"Kürzlich:"},"$:/language/ConfirmCancelTiddler":{"title":"$:/language/ConfirmCancelTiddler","text":"Wollen Sie die Änderungen im Tiddler: \"<$text text=<<title>>/>\" verwerfen?"},"$:/language/ConfirmDeleteTiddler":{"title":"$:/language/ConfirmDeleteTiddler","text":"Wollen Sie den Tiddler: \"<$text text=<<title>>/>\" löschen?"},"$:/language/ConfirmDeleteTiddlers":{"title":"$:/language/ConfirmDeleteTiddlers","text":"Wollen Sie <<resultCount>> Tiddler löschen?"},"$:/language/ConfirmOverwriteTiddler":{"title":"$:/language/ConfirmOverwriteTiddler","text":"Tiddler: \"<$text text=<<title>>/>\" existiert! OK überschreibt den tiddler!"},"$:/language/ConfirmEditShadowTiddler":{"title":"$:/language/ConfirmEditShadowTiddler","text":"Sie sind dabei, einen Schatten-Tiddler zu verändern. Zukünftige, automatische Anpassungen werden dadurch unterdrückt. Sie können Ihre Änderungen rückgängig machen, indem Sie diesen Tiddler wieder löschen. Wollen Sie den Tiddler: \"<$text text=<<title>>/>\" ändern?"},"$:/language/ConfirmAction":{"title":"$:/language/ConfirmAction","text":"Möchten Sie weitermachen?"},"$:/language/Count":{"title":"$:/language/Count","text":"Anzahl"},"$:/language/DefaultNewTiddlerTitle":{"title":"$:/language/DefaultNewTiddlerTitle","text":"Neuer Tiddler"},"$:/language/Diffs/CountMessage":{"title":"$:/language/Diffs/CountMessage","text":"<<diff-count>> Unterschied(e)"},"$:/language/DropMessage":{"title":"$:/language/DropMessage","text":"Hierher ziehen (oder Escape um abzubrechen)"},"$:/language/Encryption/Cancel":{"title":"$:/language/Encryption/Cancel","text":"Abbrechen"},"$:/language/Encryption/ConfirmClearPassword":{"title":"$:/language/Encryption/ConfirmClearPassword","text":"Wollen Sie das Passwort löschen? Damit wird die Verschlüsselung beim nächsten Speichervorgang abgeschalten!"},"$:/language/Encryption/PromptSetPassword":{"title":"$:/language/Encryption/PromptSetPassword","text":"Der TiddlyWiki Inhalt wird mit dem nächsten Speichern verschlüsselt!"},"$:/language/Encryption/Username":{"title":"$:/language/Encryption/Username","text":"Benutzername"},"$:/language/Encryption/Password":{"title":"$:/language/Encryption/Password","text":"Passwort"},"$:/language/Encryption/RepeatPassword":{"title":"$:/language/Encryption/RepeatPassword","text":"Passwort wiederholen"},"$:/language/Encryption/PasswordNoMatch":{"title":"$:/language/Encryption/PasswordNoMatch","text":"Passwörter stimmen nicht überein"},"$:/language/Encryption/SetPassword":{"title":"$:/language/Encryption/SetPassword","text":"Passwort setzen"},"$:/language/Error/Caption":{"title":"$:/language/Error/Caption","text":"Fehler"},"$:/language/Error/DeserializeOperator/MissingOperand":{"title":"$:/language/Error/DeserializeOperator/MissingOperand","text":"Filter Fehler: Fehlender Operand für 'deserialize' Operator"},"$:/language/Error/DeserializeOperator/UnknownDeserializer":{"title":"$:/language/Error/DeserializeOperator/UnknownDeserializer","text":"Filter Fehler: Unbekannter \"deserializer\" als Operand für 'deserialize' Operator verwendet"},"$:/language/Error/Filter":{"title":"$:/language/Error/Filter","text":"Filter Fehler"},"$:/language/Error/FilterSyntax":{"title":"$:/language/Error/FilterSyntax","text":"Syntax Fehler im Filter-Ausdruck"},"$:/language/Error/FilterRunPrefix":{"title":"$:/language/Error/FilterRunPrefix","text":"Filter Fehler: Unbekanntes Prefix für Filter lauf"},"$:/language/Error/IsFilterOperator":{"title":"$:/language/Error/IsFilterOperator","text":"Filter Fehler: Unbekannter Operand für den 'is' Filter Operator"},"$:/language/Error/FormatFilterOperator":{"title":"$:/language/Error/FormatFilterOperator","text":"Filter Fehler: Unbekannter Operand für den 'format' Filter Operator"},"$:/language/Error/LoadingPluginLibrary":{"title":"$:/language/Error/LoadingPluginLibrary","text":"Fehler beim Laden der \"plugin library\""},"$:/language/Error/NetworkErrorAlert":{"title":"$:/language/Error/NetworkErrorAlert","text":"`<h2>''Netzwerk Fehler''</h2>Es scheint, die Verbindung zum Server ist ausgefallen. Das weist auf Probleme mit der Netzwerkverbindung hin. Bitte versuchen Sie die Verbingung wider herzustellen, bevor Sie weitermachen.<br><br>''Nicht gespeicherte Änderungen werden automatich synchronisiert, sobald die Verbindung wider hergestellt ist."},"$:/language/Error/PutEditConflict":{"title":"$:/language/Error/PutEditConflict","text":"Datei am Server verändert"},"$:/language/Error/PutForbidden":{"title":"$:/language/Error/PutForbidden","text":"Erlaubnis verweigert"},"$:/language/Error/PutUnauthorized":{"title":"$:/language/Error/PutUnauthorized","text":"Authentifizierung benötigt"},"$:/language/Error/RecursiveTransclusion":{"title":"$:/language/Error/RecursiveTransclusion","text":"Recursive Transclusion: Fehler im \"transclude widget\""},"$:/language/Error/RetrievingSkinny":{"title":"$:/language/Error/RetrievingSkinny","text":"Fehler beim Empfangen einer \"skinny\" Tiddler Liste"},"$:/language/Error/SavingToTWEdit":{"title":"$:/language/Error/SavingToTWEdit","text":"Fehler beim Speichern mit \"TWEdit\""},"$:/language/Error/WhileSaving":{"title":"$:/language/Error/WhileSaving","text":"Fehler beim Speichern"},"$:/language/Error/XMLHttpRequest":{"title":"$:/language/Error/XMLHttpRequest","text":"XMLHttpRequest Fehler-Code"},"$:/language/Error/ZoominTextNode":{"title":"$:/language/Error/ZoominTextNode","text":"\"Story View Error:\" Es scheint Sie versuchen mit einem Tiddler zu interagieren, der in einem speziellen Container angezeigt wird. Dies wird wahrscheinlich durch den Tag: `$:/tags/StoryTiddlerTemplateFilter`verursacht. Wahrscheinlich enthält das Template reinen Text oder Leerzeilen am Anfang. Verwenden Sie das \"Pragma\" `\\whitespace trim` oder stellen Sie sicher, dass der Template Inhalt in einem HTML-Element \"eingeschlossen\" ist. Der Text, der den Fehler verursacht ist:"},"$:/language/InternalJavaScriptError/Title":{"title":"$:/language/InternalJavaScriptError/Title","text":"Interner JavaScript Fehler"},"$:/language/InternalJavaScriptError/Hint":{"title":"$:/language/InternalJavaScriptError/Hint","text":"Es tut uns leid, aber bitte starten Sie Ihr TiddlyWiki neu, indem sie die Seite im Browser neu laden."},"$:/language/LayoutSwitcher/Description":{"title":"$:/language/LayoutSwitcher/Description","text":"\"Layout\" Selektor anzeigen"},"$:/language/LazyLoadingWarning":{"title":"$:/language/LazyLoadingWarning","text":"<p>Lade externe Datei von ''<$text text={{!!_canonical_uri}}/>''</p><p>Wenn diese Meldung nicht automatisch gelöscht wird, dann verwenden Sie wahrscheinlich einen Browser der diese Funktion nicht unterstützt. Oder die Tiddler \"conent-type\" Eistellung passt nicht, zu der, der externen Datei. Siehe https://tiddlywiki.com/#ExternalText</p>"},"$:/language/LoginToTiddlySpace":{"title":"$:/language/LoginToTiddlySpace","text":"Login bei TiddlySpace"},"$:/language/Manager/Controls/FilterByTag/None":{"title":"$:/language/Manager/Controls/FilterByTag/None","text":"(kein)"},"$:/language/Manager/Controls/FilterByTag/Prompt":{"title":"$:/language/Manager/Controls/FilterByTag/Prompt","text":"Filtern nach tag:"},"$:/language/Manager/Controls/Order/Prompt":{"title":"$:/language/Manager/Controls/Order/Prompt","text":"Invertiert"},"$:/language/Manager/Controls/Search/Placeholder":{"title":"$:/language/Manager/Controls/Search/Placeholder","text":"Suche"},"$:/language/Manager/Controls/Search/Prompt":{"title":"$:/language/Manager/Controls/Search/Prompt","text":"Suche:"},"$:/language/Manager/Controls/Show/Option/Tags":{"title":"$:/language/Manager/Controls/Show/Option/Tags","text":"Tags"},"$:/language/Manager/Controls/Show/Option/Tiddlers":{"title":"$:/language/Manager/Controls/Show/Option/Tiddlers","text":"Tiddler"},"$:/language/Manager/Controls/Show/Prompt":{"title":"$:/language/Manager/Controls/Show/Prompt","text":"Anzeigen:"},"$:/language/Manager/Controls/Sort/Prompt":{"title":"$:/language/Manager/Controls/Sort/Prompt","text":"Sortieren nach:"},"$:/language/Manager/Item/Colour":{"title":"$:/language/Manager/Item/Colour","text":"Farbe"},"$:/language/Manager/Item/Fields":{"title":"$:/language/Manager/Item/Fields","text":"Feld"},"$:/language/Manager/Item/Icon/None":{"title":"$:/language/Manager/Item/Icon/None","text":"(kein)"},"$:/language/Manager/Item/Icon":{"title":"$:/language/Manager/Item/Icon","text":"Icon"},"$:/language/Manager/Item/RawText":{"title":"$:/language/Manager/Item/RawText","text":"Text"},"$:/language/Manager/Item/Tags":{"title":"$:/language/Manager/Item/Tags","text":"Tags"},"$:/language/Manager/Item/Tools":{"title":"$:/language/Manager/Item/Tools","text":"Tools"},"$:/language/Manager/Item/WikifiedText":{"title":"$:/language/Manager/Item/WikifiedText","text":"Wikified Text"},"$:/language/MissingTiddler/Hint":{"title":"$:/language/MissingTiddler/Hint","text":"Fehlender Tiddler \"<$text text=<<currentTiddler>>/>\" - klicken Sie {{||$:/core/ui/Buttons/edit}} um ihn zu erzeugen."},"$:/language/No":{"title":"$:/language/No","text":"Nein"},"$:/language/OfficialPluginLibrary":{"title":"$:/language/OfficialPluginLibrary","text":"Offizielles ~TiddlyWiki Plugin-Verzeichnis"},"$:/language/OfficialPluginLibrary/Hint":{"title":"$:/language/OfficialPluginLibrary/Hint","text":"Offizielles ~TiddlyWiki Plugin-Verzeichnis auf tiddlywiki.com. Plugin, Themes und Sprach Dateien werden vom \"core team\" gewartet."},"$:/language/PageTemplate/Description":{"title":"$:/language/PageTemplate/Description","text":"das Standard ~TiddlyWiki Layout"},"$:/language/PageTemplate/Name":{"title":"$:/language/PageTemplate/Name","text":"Standard ~PageTemplate"},"$:/language/PluginReloadWarning":{"title":"$:/language/PluginReloadWarning","text":"Das Wiki muss gespeichert {{$:/core/ui/Buttons/save-wiki}} und neu gladen {{$:/core/ui/Buttons/refresh}} werden, damit die ~JavaScript Plugins ausgeführt werden."},"$:/language/RecentChanges/DateFormat":{"title":"$:/language/RecentChanges/DateFormat","text":"YYYY MMM DD"},"$:/language/Shortcuts/Input/AdvancedSearch/Hint":{"title":"$:/language/Shortcuts/Input/AdvancedSearch/Hint","text":"Öffne den ~AdvancedSearch Tiddler vom \"Suchmenü\" aus"},"$:/language/Shortcuts/Input/Accept/Hint":{"title":"$:/language/Shortcuts/Input/Accept/Hint","text":"Wähle das selektierte Element"},"$:/language/Shortcuts/Input/AcceptVariant/Hint":{"title":"$:/language/Shortcuts/Input/AcceptVariant/Hint","text":"Wähle das selektierte Element (Variante)"},"$:/language/Shortcuts/Input/Cancel/Hint":{"title":"$:/language/Shortcuts/Input/Cancel/Hint","text":"Lösche das Eingabefeld"},"$:/language/Shortcuts/Input/Down/Hint":{"title":"$:/language/Shortcuts/Input/Down/Hint","text":"Gehe zum nächsten Element"},"$:/language/Shortcuts/Input/Up/Hint":{"title":"$:/language/Shortcuts/Input/Up/Hint","text":"Gehe zum vorherigen Element"},"$:/language/Shortcuts/Input/Tab-Left/Hint":{"title":"$:/language/Shortcuts/Input/Tab-Left/Hint","text":"Gehe zum vorherigen Tab"},"$:/language/Shortcuts/Input/Tab-Right/Hint":{"title":"$:/language/Shortcuts/Input/Tab-Right/Hint","text":"Gehe zum nächsten Tab"},"$:/language/Shortcuts/SidebarLayout/Hint":{"title":"$:/language/Shortcuts/SidebarLayout/Hint","text":"Das Layout des rechten Menüs ändern"},"$:/language/Switcher/Subtitle/theme":{"title":"$:/language/Switcher/Subtitle/theme","text":"Theme auswählen"},"$:/language/Switcher/Subtitle/layout":{"title":"$:/language/Switcher/Subtitle/layout","text":"Layout auswählen"},"$:/language/Switcher/Subtitle/language":{"title":"$:/language/Switcher/Subtitle/language","text":"Sprache auswählen"},"$:/language/Switcher/Subtitle/palette":{"title":"$:/language/Switcher/Subtitle/palette","text":"Palette auswählen"},"$:/language/SystemTiddler/Tooltip":{"title":"$:/language/SystemTiddler/Tooltip","text":"Das ist ein System-Tiddler"},"$:/language/SystemTiddlers/Include/Prompt":{"title":"$:/language/SystemTiddlers/Include/Prompt","text":"System-Tiddler einschließen"},"$:/language/TagManager/Colour/Heading":{"title":"$:/language/TagManager/Colour/Heading","text":"Farbe"},"$:/language/TagManager/Count/Heading":{"title":"$:/language/TagManager/Count/Heading","text":"Anzahl"},"$:/language/TagManager/Icon/Heading":{"title":"$:/language/TagManager/Icon/Heading","text":"Symbol"},"$:/language/TagManager/Icons/None":{"title":"$:/language/TagManager/Icons/None","text":"Keine"},"$:/language/TagManager/Info/Heading":{"title":"$:/language/TagManager/Info/Heading","text":"Info"},"$:/language/TagManager/Tag/Heading":{"title":"$:/language/TagManager/Tag/Heading","text":"Tag"},"$:/language/Tiddler/DateFormat":{"title":"$:/language/Tiddler/DateFormat","text":"DDth MMM YYYY um 0hh:0mm"},"$:/language/UnsavedChangesWarning":{"title":"$:/language/UnsavedChangesWarning","text":"~TiddlyWiki wurde geändert, aber noch nicht gespeichert!"},"$:/language/Yes":{"title":"$:/language/Yes","text":"Ja"},"$:/language/Modals/Download":{"title":"$:/language/Modals/Download","type":"text/vnd.tiddlywiki","subtitle":"Änderungen Speichern","footer":"<$button message=\"tm-close-tiddler\">Schließen</$button>","help":"https://tiddlywiki.com/static/DownloadingChanges.html","text":"Ihr Browser unterstützt nur manuelles Speichern.\n\nUm das geänderte Wiki zu speichern, machen Sie einen \"rechts klick\" auf den folgenden Link. Wählen Sie \"Datei herunterladen\" oder \"Datei speichern\" und wählen Sie Name und Verzeichnis.\n\n//Sie können den Vorgang etwas beschleunigen, indem Sie die \"Control-Taste\" (Windows) oder die \"Options/Alt-Taste\" (Max OS X) drücken. Es wird kein \"Speichern Dialog\" erscheinen. Jedoch wird bei einigen Browsern die Datei einen zufälligen Namen bekommen. Sie müssen die Datei eventuell umbenennen, um sie öffnen zu können.//\n\nBei \"Smartphones\", die das Speichern von Dateien nicht erlauben, können Sie ein Lesezeichen erstellen, dass mit Ihrem PC synchronisiert wird. Dort können Sie die Dateien dann wie gewohnt speichern.\n"},"$:/config/NewJournal/Title":{"title":"$:/config/NewJournal/Title","text":"YYYY MMM 0DD"},"$:/config/NewJournal/Text":{"title":"$:/config/NewJournal/Text","text":""},"$:/config/NewJournal/Tags":{"title":"$:/config/NewJournal/Tags","text":"Journal"},"$:/language/Notifications/Save/Done":{"title":"$:/language/Notifications/Save/Done","text":"Wiki gespeichert!"},"$:/language/Notifications/Save/Starting":{"title":"$:/language/Notifications/Save/Starting","text":"Wiki zum Speichern vorbereiten!"},"$:/language/Notifications/CopiedToClipboard/Succeeded":{"title":"$:/language/Notifications/CopiedToClipboard/Succeeded","text":"Kopiert!"},"$:/language/Notifications/CopiedToClipboard/Failed":{"title":"$:/language/Notifications/CopiedToClipboard/Failed","text":"Fehler, beim kopieren in die Zwischenablage!"},"$:/language/Search/DefaultResults/Caption":{"title":"$:/language/Search/DefaultResults/Caption","text":"Liste"},"$:/language/Search/Filter/Caption":{"title":"$:/language/Search/Filter/Caption","text":"Filter"},"$:/language/Search/Filter/Hint":{"title":"$:/language/Search/Filter/Hint","text":"Suche mit [[\"filter expression\"|https://tiddlywiki.com/static/Filters.html]]."},"$:/language/Search/Filter/Matches":{"title":"$:/language/Search/Filter/Matches","text":"//<small><<resultCount>> Treffer</small>//"},"$:/language/Search/Matches":{"title":"$:/language/Search/Matches","text":"//<small><<resultCount>> Treffer</small>//"},"$:/language/Search/Matches/All":{"title":"$:/language/Search/Matches/All","text":"Alle Treffer:"},"$:/language/Search/Matches/Title":{"title":"$:/language/Search/Matches/Title","text":"Titel Treffer:"},"$:/language/Search/Search":{"title":"$:/language/Search/Search","text":"Suchen"},"$:/language/Search/Search/TooShort":{"title":"$:/language/Search/Search/TooShort","text":"Suchtext ist zu kurz"},"$:/language/Search/Shadows/Caption":{"title":"$:/language/Search/Shadows/Caption","text":"Schatten"},"$:/language/Search/Shadows/Hint":{"title":"$:/language/Search/Shadows/Hint","text":"Suche in Schatten-Tiddlern."},"$:/language/Search/Shadows/Matches":{"title":"$:/language/Search/Shadows/Matches","text":"//<small><<resultCount>> Treffer</small>//"},"$:/language/Search/Standard/Caption":{"title":"$:/language/Search/Standard/Caption","text":"Standard"},"$:/language/Search/Standard/Hint":{"title":"$:/language/Search/Standard/Hint","text":"Suche in Standard-Tiddlern."},"$:/language/Search/Standard/Matches":{"title":"$:/language/Search/Standard/Matches","text":"//<small><<resultCount>> matches</small>//"},"$:/language/Search/System/Caption":{"title":"$:/language/Search/System/Caption","text":"System"},"$:/language/Search/System/Hint":{"title":"$:/language/Search/System/Hint","text":"Suche in System-Tiddlern."},"$:/language/Search/System/Matches":{"title":"$:/language/Search/System/Matches","text":"//<small><<resultCount>> Treffer</small>//"},"$:/language/SideBar/Caption":{"title":"$:/language/SideBar/Caption","text":"Seitenleiste"},"$:/language/SideBar/All/Caption":{"title":"$:/language/SideBar/All/Caption","text":"Alle"},"$:/language/SideBar/Contents/Caption":{"title":"$:/language/SideBar/Contents/Caption","text":"Inhalt"},"$:/language/SideBar/Drafts/Caption":{"title":"$:/language/SideBar/Drafts/Caption","text":"Entwurf"},"$:/language/SideBar/Explorer/Caption":{"title":"$:/language/SideBar/Explorer/Caption","text":"Explorer"},"$:/language/SideBar/Missing/Caption":{"title":"$:/language/SideBar/Missing/Caption","text":"Fehlend"},"$:/language/SideBar/More/Caption":{"title":"$:/language/SideBar/More/Caption","text":"Mehr"},"$:/language/SideBar/Open/Caption":{"title":"$:/language/SideBar/Open/Caption","text":"Offen"},"$:/language/SideBar/Orphans/Caption":{"title":"$:/language/SideBar/Orphans/Caption","text":"Waisen"},"$:/language/SideBar/Recent/Caption":{"title":"$:/language/SideBar/Recent/Caption","text":"Zuletzt"},"$:/language/SideBar/Shadows/Caption":{"title":"$:/language/SideBar/Shadows/Caption","text":"Schatten"},"$:/language/SideBar/System/Caption":{"title":"$:/language/SideBar/System/Caption","text":"System"},"$:/language/SideBar/Tags/Caption":{"title":"$:/language/SideBar/Tags/Caption","text":"Tags"},"$:/language/SideBar/Tags/Untagged/Caption":{"title":"$:/language/SideBar/Tags/Untagged/Caption","text":"untagged"},"$:/language/SideBar/Tools/Caption":{"title":"$:/language/SideBar/Tools/Caption","text":"Tools"},"$:/language/SideBar/Types/Caption":{"title":"$:/language/SideBar/Types/Caption","text":"Typen"},"$:/SiteSubtitle":{"title":"$:/SiteSubtitle","text":"ein persönliches nicht-lineares Web-Notizbuch\n"},"$:/SiteTitle":{"title":"$:/SiteTitle","text":"Mein TiddlyWiki"},"$:/language/Snippets/ListByTag":{"title":"$:/language/Snippets/ListByTag","tags":"$:/tags/TextEditor/Snippet","caption":"Tiddler-Liste mit tag: \"task\", sortiert nach \"titel\"","text":"<<list-links \"[tag[task]sort[title]]\">>\n"},"$:/language/Snippets/MacroDefinition":{"title":"$:/language/Snippets/MacroDefinition","tags":"$:/tags/TextEditor/Snippet","caption":"Makro Definition","text":"\\define makroName(param1:\"standard parameter\", param2)\nText des Makros. Zugriff auf den <<__param1__>>.\n<<__param2__>>\n\\end\n"},"$:/language/Snippets/Table4x3":{"title":"$:/language/Snippets/Table4x3","tags":"$:/tags/TextEditor/Snippet","caption":"Tabelle -- 5 Spalten, 3 Zeilen, Kopf-, Fußzeile und Beschriftung","text":"| |Alpha |Beta |Gamma |Delta |h\n|!Beta | | | | |\n|!Gamma | | | | |\n|!Delta | | | | |\n| |a|b|c|d|f\n| Beschriftung |c\n"},"$:/language/Snippets/TableOfContents":{"title":"$:/language/Snippets/TableOfContents","tags":"$:/tags/TextEditor/Snippet","caption":"Inhaltsverzeichnis","text":"<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'InhaltsVerzeichnis'>>\n\n</div>"},"$:/language/ThemeTweaks/ThemeTweaks":{"title":"$:/language/ThemeTweaks/ThemeTweaks","text":"Theme Tweaks"},"$:/language/ThemeTweaks/ThemeTweaks/Hint":{"title":"$:/language/ThemeTweaks/ThemeTweaks/Hint","text":"Hier können sie verschiedene Elemente des ''Vanilla'' (Standard) Themas einstellen."},"$:/language/ThemeTweaks/Options":{"title":"$:/language/ThemeTweaks/Options","text":"Optionen"},"$:/language/ThemeTweaks/Options/SidebarLayout":{"title":"$:/language/ThemeTweaks/Options/SidebarLayout","text":"Seitenleiste Darstellung"},"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid":{"title":"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid","text":"Fixe \"Story\", variable Seitenleiste"},"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed":{"title":"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed","text":"Variable \"Story\", fixe Seitenleiste"},"$:/language/ThemeTweaks/Options/StickyTitles":{"title":"$:/language/ThemeTweaks/Options/StickyTitles","text":"\"Klebender Titel\""},"$:/language/ThemeTweaks/Options/StickyTitles/Hint":{"title":"$:/language/ThemeTweaks/Options/StickyTitles/Hint","text":"Tiddler-Titel bleiben beim \"Scrollen\" am oberen Bildschirmrand \"kleben\". Funktioniert möglicherweise nicht mit jedem Browser."},"$:/language/ThemeTweaks/Options/CodeWrapping":{"title":"$:/language/ThemeTweaks/Options/CodeWrapping","text":"Lange Zeilen in \"Code-Blöcken\" umbrechen"},"$:/language/ThemeTweaks/Settings":{"title":"$:/language/ThemeTweaks/Settings","text":"Einstellungen"},"$:/language/ThemeTweaks/Settings/FontFamily":{"title":"$:/language/ThemeTweaks/Settings/FontFamily","text":"Schriftfamilie"},"$:/language/ThemeTweaks/Settings/CodeFontFamily":{"title":"$:/language/ThemeTweaks/Settings/CodeFontFamily","text":"\"Code\" Schriftfamilie"},"$:/language/ThemeTweaks/Settings/EditorFontFamily":{"title":"$:/language/ThemeTweaks/Settings/EditorFontFamily","text":"Editor Schriftfamilie"},"$:/language/ThemeTweaks/Settings/BackgroundImage":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImage","text":"Hintergrundbild für die Seite"},"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment","text":"Hintergrundbild Anhang"},"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll","text":"Mit Inhalt \"scrollen\""},"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed","text":"Fixe position im Fenster"},"$:/language/ThemeTweaks/Settings/BackgroundImageSize":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageSize","text":"Hintergrundbild Größe"},"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto","text":"Auto"},"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover","text":"Abdecken"},"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain":{"title":"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain","text":"Anpassen"},"$:/language/ThemeTweaks/Metrics":{"title":"$:/language/ThemeTweaks/Metrics","text":"Größen"},"$:/language/ThemeTweaks/Metrics/FontSize":{"title":"$:/language/ThemeTweaks/Metrics/FontSize","text":"Schriftgröße"},"$:/language/ThemeTweaks/Metrics/LineHeight":{"title":"$:/language/ThemeTweaks/Metrics/LineHeight","text":"Zeilenhöhe"},"$:/language/ThemeTweaks/Metrics/BodyFontSize":{"title":"$:/language/ThemeTweaks/Metrics/BodyFontSize","text":"Schriftgröße für Tiddler Inhalt"},"$:/language/ThemeTweaks/Metrics/BodyLineHeight":{"title":"$:/language/ThemeTweaks/Metrics/BodyLineHeight","text":"Zeilenhöhe für Tiddler Inhalt"},"$:/language/ThemeTweaks/Metrics/StoryLeft":{"title":"$:/language/ThemeTweaks/Metrics/StoryLeft","text":"\"Story\" - linke Position"},"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint":{"title":"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint","text":"Abstand des \"story rivers\" vom linken Fensterrand"},"$:/language/ThemeTweaks/Metrics/StoryTop":{"title":"$:/language/ThemeTweaks/Metrics/StoryTop","text":"\"Story\" - obere Position"},"$:/language/ThemeTweaks/Metrics/StoryTop/Hint":{"title":"$:/language/ThemeTweaks/Metrics/StoryTop/Hint","text":"Abstand des \"story rivers\" vom oberen Fensterrand"},"$:/language/ThemeTweaks/Metrics/StoryRight":{"title":"$:/language/ThemeTweaks/Metrics/StoryRight","text":"\"Story\" - rechte Position"},"$:/language/ThemeTweaks/Metrics/StoryRight/Hint":{"title":"$:/language/ThemeTweaks/Metrics/StoryRight/Hint","text":"Abstand der Seitenleiste from linken Fensterrand"},"$:/language/ThemeTweaks/Metrics/StoryWidth":{"title":"$:/language/ThemeTweaks/Metrics/StoryWidth","text":"\"Story\" - Breite"},"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint":{"title":"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint","text":"Breite des \"story rivers\""},"$:/language/ThemeTweaks/Metrics/TiddlerWidth":{"title":"$:/language/ThemeTweaks/Metrics/TiddlerWidth","text":"Tiddlerbreite"},"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint":{"title":"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint","text":"im \"story river\""},"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint":{"title":"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint","text":"Seitenleiste \"breakpoint\""},"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint":{"title":"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint","text":"Minimum Fensterbreite, bei der die Seitenleiste an den Anfang der Seite verschoben wird."},"$:/language/ThemeTweaks/Metrics/SidebarWidth":{"title":"$:/language/ThemeTweaks/Metrics/SidebarWidth","text":"Seitenleiste Breite"},"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint":{"title":"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint","text":"Die Breite der Leiste bei variabler/fixer Darstellung"},"$:/language/TiddlerInfo/Advanced/Caption":{"title":"$:/language/TiddlerInfo/Advanced/Caption","text":"Erweitert"},"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint":{"title":"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint","text":"Keine"},"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading":{"title":"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading","text":"Plugin Details"},"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint":{"title":"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint","text":"Dieses Plugin enthält folgende Schatten-Tiddler:"},"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading","text":"Schatten Status"},"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint","text":"Der Tiddler: <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> ist kein Schatten-Tiddler."},"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint","text":"Der Tiddler: <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> ist ein Schatten-Tiddler."},"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source","text":"Er ist definiert im Plugin: <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>."},"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint":{"title":"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint","text":"Der originale Schatten-Tiddler wurde durch diesen Tiddler überschrieben. Wenn Sie diesen Tiddler löschen, wird der originale Schatten-Tiddler wieder aktiv. Erstellen Sie vorher eventuell eine Sicherungskopie!"},"$:/language/TiddlerInfo/Fields/Caption":{"title":"$:/language/TiddlerInfo/Fields/Caption","text":"Felder"},"$:/language/TiddlerInfo/List/Caption":{"title":"$:/language/TiddlerInfo/List/Caption","text":"Liste"},"$:/language/TiddlerInfo/List/Empty":{"title":"$:/language/TiddlerInfo/List/Empty","text":"Dieser Tiddler hat kein \"list\" Feld."},"$:/language/TiddlerInfo/Listed/Caption":{"title":"$:/language/TiddlerInfo/Listed/Caption","text":"Gelistet"},"$:/language/TiddlerInfo/Listed/Empty":{"title":"$:/language/TiddlerInfo/Listed/Empty","text":"Dieser Tiddler wird nicht von anderen Tiddlern gelistet."},"$:/language/TiddlerInfo/References/Caption":{"title":"$:/language/TiddlerInfo/References/Caption","text":"Rückverweise"},"$:/language/TiddlerInfo/References/Empty":{"title":"$:/language/TiddlerInfo/References/Empty","text":"Kein Tiddler linkt zu diesem Tiddler."},"$:/language/TiddlerInfo/Tagging/Caption":{"title":"$:/language/TiddlerInfo/Tagging/Caption","text":"Tagging"},"$:/language/TiddlerInfo/Tagging/Empty":{"title":"$:/language/TiddlerInfo/Tagging/Empty","text":"Kein Tiddler ist mit diesem Tiddler \"getaggt\"."},"$:/language/TiddlerInfo/Tools/Caption":{"title":"$:/language/TiddlerInfo/Tools/Caption","text":"Tools"},"$:/language/Docs/Types/application/javascript":{"title":"$:/language/Docs/Types/application/javascript","description":"JS - JavaScript Code","name":"application/javascript","group":"Entwickler"},"$:/language/Docs/Types/application/json":{"title":"$:/language/Docs/Types/application/json","description":"JSON - Daten","name":"application/json","group":"Entwickler"},"$:/language/Docs/Types/application/x-tiddler-dictionary":{"title":"$:/language/Docs/Types/application/x-tiddler-dictionary","description":"TiddlyWiki Datenkatalog","name":"application/x-tiddler-dictionary","group":"Entwickler"},"$:/language/Docs/Types/image/gif":{"title":"$:/language/Docs/Types/image/gif","description":"GIF - Bild","name":"image/gif","group":"Bilder"},"$:/language/Docs/Types/image/jpeg":{"title":"$:/language/Docs/Types/image/jpeg","description":"JPEG - Bild","name":"image/jpeg","group":"Bilder"},"$:/language/Docs/Types/image/png":{"title":"$:/language/Docs/Types/image/png","description":"PNG - Portable Netzwerkgrafik","name":"image/png","group":"Bilder"},"$:/language/Docs/Types/image/svg+xml":{"title":"$:/language/Docs/Types/image/svg+xml","description":"SVG - Strukturierte Vektor Graphik","name":"image/svg+xml","group":"Bilder"},"$:/language/Docs/Types/image/x-icon":{"title":"$:/language/Docs/Types/image/x-icon","description":"ICO - Piktogramm (Icon)","name":"image/x-icon","group":"Bilder"},"$:/language/Docs/Types/text/css":{"title":"$:/language/Docs/Types/text/css","description":"CSS - Cascading Style Sheets","name":"text/css","group":"Entwickler"},"$:/language/Docs/Types/text/html":{"title":"$:/language/Docs/Types/text/html","description":"HTML - Auszeichnungssprache","name":"text/html","group":"Text"},"$:/language/Docs/Types/text/plain":{"title":"$:/language/Docs/Types/text/plain","description":"TXT - Unformatierter Text","name":"text/plain","group":"Text"},"$:/language/Docs/Types/text/vnd.tiddlywiki":{"title":"$:/language/Docs/Types/text/vnd.tiddlywiki","description":"TW5 - TiddlyWiki Version 5 Wikitext","name":"text/vnd.tiddlywiki","group":"Text"},"$:/language/Docs/Types/text/x-tiddlywiki":{"title":"$:/language/Docs/Types/text/x-tiddlywiki","description":"TWc - TiddlyWiki Classic Wikitext","name":"text/x-tiddlywiki","group":"Text"},"$:/languages/de-DE/icon":{"title":"$:/languages/de-DE/icon","type":"image/svg+xml","text":"<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n\t\"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"1000\" height=\"600\" viewBox=\"0 0 5 3\">\n\t<desc>Flag of Germany</desc>\n\t<rect id=\"black_stripe\" width=\"5\" height=\"3\" y=\"0\" x=\"0\" fill=\"#000\"/>\n\t<rect id=\"red_stripe\" width=\"5\" height=\"2\" y=\"1\" x=\"0\" fill=\"#D00\"/>\n\t<rect id=\"gold_stripe\" width=\"5\" height=\"1\" y=\"2\" x=\"0\" fill=\"#FFCE00\"/>\n</svg>\n"}}}

"use strict";var sjcl={cipher:{},hash:{},keyexchange:{},mode:{},misc:{},codec:{},exception:{corrupt:function(a){this.toString=function(){return"CORRUPT: "+this.message};this.message=a},invalid:function(a){this.toString=function(){return"INVALID: "+this.message};this.message=a},bug:function(a){this.toString=function(){return"BUG: "+this.message};this.message=a},notReady:function(a){this.toString=function(){return"NOT READY: "+this.message};this.message=a}}};
sjcl.cipher.aes=function(a){this.s[0][0][0]||this.O();var b,c,d,e,f=this.s[0][4],g=this.s[1];b=a.length;var h=1;if(4!==b&&6!==b&&8!==b)throw new sjcl.exception.invalid("invalid aes key size");this.b=[d=a.slice(0),e=[]];for(a=b;a<4*b+28;a++){c=d[a-1];if(0===a%b||8===b&&4===a%b)c=f[c>>>24]<<24^f[c>>16&255]<<16^f[c>>8&255]<<8^f[c&255],0===a%b&&(c=c<<8^c>>>24^h<<24,h=h<<1^283*(h>>7));d[a]=d[a-b]^c}for(b=0;a;b++,a--)c=d[b&3?a:a-4],e[b]=4>=a||4>b?c:g[0][f[c>>>24]]^g[1][f[c>>16&255]]^g[2][f[c>>8&255]]^g[3][f[c&
255]]};
sjcl.cipher.aes.prototype={encrypt:function(a){return t(this,a,0)},decrypt:function(a){return t(this,a,1)},s:[[[],[],[],[],[]],[[],[],[],[],[]]],O:function(){var a=this.s[0],b=this.s[1],c=a[4],d=b[4],e,f,g,h=[],k=[],l,n,m,p;for(e=0;0x100>e;e++)k[(h[e]=e<<1^283*(e>>7))^e]=e;for(f=g=0;!c[f];f^=l||1,g=k[g]||1)for(m=g^g<<1^g<<2^g<<3^g<<4,m=m>>8^m&255^99,c[f]=m,d[m]=f,n=h[e=h[l=h[f]]],p=0x1010101*n^0x10001*e^0x101*l^0x1010100*f,n=0x101*h[m]^0x1010100*m,e=0;4>e;e++)a[e][f]=n=n<<24^n>>>8,b[e][m]=p=p<<24^p>>>8;for(e=
0;5>e;e++)a[e]=a[e].slice(0),b[e]=b[e].slice(0)}};
function t(a,b,c){if(4!==b.length)throw new sjcl.exception.invalid("invalid aes block size");var d=a.b[c],e=b[0]^d[0],f=b[c?3:1]^d[1],g=b[2]^d[2];b=b[c?1:3]^d[3];var h,k,l,n=d.length/4-2,m,p=4,r=[0,0,0,0];h=a.s[c];a=h[0];var q=h[1],v=h[2],w=h[3],x=h[4];for(m=0;m<n;m++)h=a[e>>>24]^q[f>>16&255]^v[g>>8&255]^w[b&255]^d[p],k=a[f>>>24]^q[g>>16&255]^v[b>>8&255]^w[e&255]^d[p+1],l=a[g>>>24]^q[b>>16&255]^v[e>>8&255]^w[f&255]^d[p+2],b=a[b>>>24]^q[e>>16&255]^v[f>>8&255]^w[g&255]^d[p+3],p+=4,e=h,f=k,g=l;for(m=
0;4>m;m++)r[c?3&-m:m]=x[e>>>24]<<24^x[f>>16&255]<<16^x[g>>8&255]<<8^x[b&255]^d[p++],h=e,e=f,f=g,g=b,b=h;return r}
sjcl.bitArray={bitSlice:function(a,b,c){a=sjcl.bitArray.$(a.slice(b/32),32-(b&31)).slice(1);return void 0===c?a:sjcl.bitArray.clamp(a,c-b)},extract:function(a,b,c){var d=Math.floor(-b-c&31);return((b+c-1^b)&-32?a[b/32|0]<<32-d^a[b/32+1|0]>>>d:a[b/32|0]>>>d)&(1<<c)-1},concat:function(a,b){if(0===a.length||0===b.length)return a.concat(b);var c=a[a.length-1],d=sjcl.bitArray.getPartial(c);return 32===d?a.concat(b):sjcl.bitArray.$(b,d,c|0,a.slice(0,a.length-1))},bitLength:function(a){var b=a.length;return 0===
b?0:32*(b-1)+sjcl.bitArray.getPartial(a[b-1])},clamp:function(a,b){if(32*a.length<b)return a;a=a.slice(0,Math.ceil(b/32));var c=a.length;b=b&31;0<c&&b&&(a[c-1]=sjcl.bitArray.partial(b,a[c-1]&2147483648>>b-1,1));return a},partial:function(a,b,c){return 32===a?b:(c?b|0:b<<32-a)+0x10000000000*a},getPartial:function(a){return Math.round(a/0x10000000000)||32},equal:function(a,b){if(sjcl.bitArray.bitLength(a)!==sjcl.bitArray.bitLength(b))return!1;var c=0,d;for(d=0;d<a.length;d++)c|=a[d]^b[d];return 0===
c},$:function(a,b,c,d){var e;e=0;for(void 0===d&&(d=[]);32<=b;b-=32)d.push(c),c=0;if(0===b)return d.concat(a);for(e=0;e<a.length;e++)d.push(c|a[e]>>>b),c=a[e]<<32-b;e=a.length?a[a.length-1]:0;a=sjcl.bitArray.getPartial(e);d.push(sjcl.bitArray.partial(b+a&31,32<b+a?c:d.pop(),1));return d},i:function(a,b){return[a[0]^b[0],a[1]^b[1],a[2]^b[2],a[3]^b[3]]},byteswapM:function(a){var b,c;for(b=0;b<a.length;++b)c=a[b],a[b]=c>>>24|c>>>8&0xff00|(c&0xff00)<<8|c<<24;return a}};
sjcl.codec.utf8String={fromBits:function(a){var b="",c=sjcl.bitArray.bitLength(a),d,e;for(d=0;d<c/8;d++)0===(d&3)&&(e=a[d/4]),b+=String.fromCharCode(e>>>8>>>8>>>8),e<<=8;return decodeURIComponent(escape(b))},toBits:function(a){a=unescape(encodeURIComponent(a));var b=[],c,d=0;for(c=0;c<a.length;c++)d=d<<8|a.charCodeAt(c),3===(c&3)&&(b.push(d),d=0);c&3&&b.push(sjcl.bitArray.partial(8*(c&3),d));return b}};
sjcl.codec.hex={fromBits:function(a){var b="",c;for(c=0;c<a.length;c++)b+=((a[c]|0)+0xf00000000000).toString(16).substr(4);return b.substr(0,sjcl.bitArray.bitLength(a)/4)},toBits:function(a){var b,c=[],d;a=a.replace(/\s|0x/g,"");d=a.length;a=a+"00000000";for(b=0;b<a.length;b+=8)c.push(parseInt(a.substr(b,8),16)^0);return sjcl.bitArray.clamp(c,4*d)}};
sjcl.codec.base32={B:"ABCDEFGHIJKLMNOPQRSTUVWXYZ234567",X:"0123456789ABCDEFGHIJKLMNOPQRSTUV",BITS:32,BASE:5,REMAINING:27,fromBits:function(a,b,c){var d=sjcl.codec.base32.BASE,e=sjcl.codec.base32.REMAINING,f="",g=0,h=sjcl.codec.base32.B,k=0,l=sjcl.bitArray.bitLength(a);c&&(h=sjcl.codec.base32.X);for(c=0;f.length*d<l;)f+=h.charAt((k^a[c]>>>g)>>>e),g<d?(k=a[c]<<d-g,g+=e,c++):(k<<=d,g-=d);for(;f.length&7&&!b;)f+="=";return f},toBits:function(a,b){a=a.replace(/\s|=/g,"").toUpperCase();var c=sjcl.codec.base32.BITS,
d=sjcl.codec.base32.BASE,e=sjcl.codec.base32.REMAINING,f=[],g,h=0,k=sjcl.codec.base32.B,l=0,n,m="base32";b&&(k=sjcl.codec.base32.X,m="base32hex");for(g=0;g<a.length;g++){n=k.indexOf(a.charAt(g));if(0>n){if(!b)try{return sjcl.codec.base32hex.toBits(a)}catch(p){}throw new sjcl.exception.invalid("this isn't "+m+"!");}h>e?(h-=e,f.push(l^n>>>h),l=n<<c-h):(h+=d,l^=n<<c-h)}h&56&&f.push(sjcl.bitArray.partial(h&56,l,1));return f}};
sjcl.codec.base32hex={fromBits:function(a,b){return sjcl.codec.base32.fromBits(a,b,1)},toBits:function(a){return sjcl.codec.base32.toBits(a,1)}};
sjcl.codec.base64={B:"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",fromBits:function(a,b,c){var d="",e=0,f=sjcl.codec.base64.B,g=0,h=sjcl.bitArray.bitLength(a);c&&(f=f.substr(0,62)+"-_");for(c=0;6*d.length<h;)d+=f.charAt((g^a[c]>>>e)>>>26),6>e?(g=a[c]<<6-e,e+=26,c++):(g<<=6,e-=6);for(;d.length&3&&!b;)d+="=";return d},toBits:function(a,b){a=a.replace(/\s|=/g,"");var c=[],d,e=0,f=sjcl.codec.base64.B,g=0,h;b&&(f=f.substr(0,62)+"-_");for(d=0;d<a.length;d++){h=f.indexOf(a.charAt(d));
if(0>h)throw new sjcl.exception.invalid("this isn't base64!");26<e?(e-=26,c.push(g^h>>>e),g=h<<32-e):(e+=6,g^=h<<32-e)}e&56&&c.push(sjcl.bitArray.partial(e&56,g,1));return c}};sjcl.codec.base64url={fromBits:function(a){return sjcl.codec.base64.fromBits(a,1,1)},toBits:function(a){return sjcl.codec.base64.toBits(a,1)}};sjcl.hash.sha256=function(a){this.b[0]||this.O();a?(this.F=a.F.slice(0),this.A=a.A.slice(0),this.l=a.l):this.reset()};sjcl.hash.sha256.hash=function(a){return(new sjcl.hash.sha256).update(a).finalize()};
sjcl.hash.sha256.prototype={blockSize:512,reset:function(){this.F=this.Y.slice(0);this.A=[];this.l=0;return this},update:function(a){"string"===typeof a&&(a=sjcl.codec.utf8String.toBits(a));var b,c=this.A=sjcl.bitArray.concat(this.A,a);b=this.l;a=this.l=b+sjcl.bitArray.bitLength(a);if(0x1fffffffffffff<a)throw new sjcl.exception.invalid("Cannot hash more than 2^53 - 1 bits");if("undefined"!==typeof Uint32Array){var d=new Uint32Array(c),e=0;for(b=512+b-(512+b&0x1ff);b<=a;b+=512)u(this,d.subarray(16*e,
16*(e+1))),e+=1;c.splice(0,16*e)}else for(b=512+b-(512+b&0x1ff);b<=a;b+=512)u(this,c.splice(0,16));return this},finalize:function(){var a,b=this.A,c=this.F,b=sjcl.bitArray.concat(b,[sjcl.bitArray.partial(1,1)]);for(a=b.length+2;a&15;a++)b.push(0);b.push(Math.floor(this.l/0x100000000));for(b.push(this.l|0);b.length;)u(this,b.splice(0,16));this.reset();return c},Y:[],b:[],O:function(){function a(a){return 0x100000000*(a-Math.floor(a))|0}for(var b=0,c=2,d,e;64>b;c++){e=!0;for(d=2;d*d<=c;d++)if(0===c%d){e=
!1;break}e&&(8>b&&(this.Y[b]=a(Math.pow(c,.5))),this.b[b]=a(Math.pow(c,1/3)),b++)}}};
function u(a,b){var c,d,e,f=a.F,g=a.b,h=f[0],k=f[1],l=f[2],n=f[3],m=f[4],p=f[5],r=f[6],q=f[7];for(c=0;64>c;c++)16>c?d=b[c]:(d=b[c+1&15],e=b[c+14&15],d=b[c&15]=(d>>>7^d>>>18^d>>>3^d<<25^d<<14)+(e>>>17^e>>>19^e>>>10^e<<15^e<<13)+b[c&15]+b[c+9&15]|0),d=d+q+(m>>>6^m>>>11^m>>>25^m<<26^m<<21^m<<7)+(r^m&(p^r))+g[c],q=r,r=p,p=m,m=n+d|0,n=l,l=k,k=h,h=d+(k&l^n&(k^l))+(k>>>2^k>>>13^k>>>22^k<<30^k<<19^k<<10)|0;f[0]=f[0]+h|0;f[1]=f[1]+k|0;f[2]=f[2]+l|0;f[3]=f[3]+n|0;f[4]=f[4]+m|0;f[5]=f[5]+p|0;f[6]=f[6]+r|0;f[7]=
f[7]+q|0}
sjcl.mode.ccm={name:"ccm",G:[],listenProgress:function(a){sjcl.mode.ccm.G.push(a)},unListenProgress:function(a){a=sjcl.mode.ccm.G.indexOf(a);-1<a&&sjcl.mode.ccm.G.splice(a,1)},fa:function(a){var b=sjcl.mode.ccm.G.slice(),c;for(c=0;c<b.length;c+=1)b[c](a)},encrypt:function(a,b,c,d,e){var f,g=b.slice(0),h=sjcl.bitArray,k=h.bitLength(c)/8,l=h.bitLength(g)/8;e=e||64;d=d||[];if(7>k)throw new sjcl.exception.invalid("ccm: iv must be at least 7 bytes");for(f=2;4>f&&l>>>8*f;f++);f<15-k&&(f=15-k);c=h.clamp(c,
8*(15-f));b=sjcl.mode.ccm.V(a,b,c,d,e,f);g=sjcl.mode.ccm.C(a,g,c,b,e,f);return h.concat(g.data,g.tag)},decrypt:function(a,b,c,d,e){e=e||64;d=d||[];var f=sjcl.bitArray,g=f.bitLength(c)/8,h=f.bitLength(b),k=f.clamp(b,h-e),l=f.bitSlice(b,h-e),h=(h-e)/8;if(7>g)throw new sjcl.exception.invalid("ccm: iv must be at least 7 bytes");for(b=2;4>b&&h>>>8*b;b++);b<15-g&&(b=15-g);c=f.clamp(c,8*(15-b));k=sjcl.mode.ccm.C(a,k,c,l,e,b);a=sjcl.mode.ccm.V(a,k.data,c,d,e,b);if(!f.equal(k.tag,a))throw new sjcl.exception.corrupt("ccm: tag doesn't match");
return k.data},na:function(a,b,c,d,e,f){var g=[],h=sjcl.bitArray,k=h.i;d=[h.partial(8,(b.length?64:0)|d-2<<2|f-1)];d=h.concat(d,c);d[3]|=e;d=a.encrypt(d);if(b.length)for(c=h.bitLength(b)/8,65279>=c?g=[h.partial(16,c)]:0xffffffff>=c&&(g=h.concat([h.partial(16,65534)],[c])),g=h.concat(g,b),b=0;b<g.length;b+=4)d=a.encrypt(k(d,g.slice(b,b+4).concat([0,0,0])));return d},V:function(a,b,c,d,e,f){var g=sjcl.bitArray,h=g.i;e/=8;if(e%2||4>e||16<e)throw new sjcl.exception.invalid("ccm: invalid tag length");
if(0xffffffff<d.length||0xffffffff<b.length)throw new sjcl.exception.bug("ccm: can't deal with 4GiB or more data");c=sjcl.mode.ccm.na(a,d,c,e,g.bitLength(b)/8,f);for(d=0;d<b.length;d+=4)c=a.encrypt(h(c,b.slice(d,d+4).concat([0,0,0])));return g.clamp(c,8*e)},C:function(a,b,c,d,e,f){var g,h=sjcl.bitArray;g=h.i;var k=b.length,l=h.bitLength(b),n=k/50,m=n;c=h.concat([h.partial(8,f-1)],c).concat([0,0,0]).slice(0,4);d=h.bitSlice(g(d,a.encrypt(c)),0,e);if(!k)return{tag:d,data:[]};for(g=0;g<k;g+=4)g>n&&(sjcl.mode.ccm.fa(g/
k),n+=m),c[3]++,e=a.encrypt(c),b[g]^=e[0],b[g+1]^=e[1],b[g+2]^=e[2],b[g+3]^=e[3];return{tag:d,data:h.clamp(b,l)}}};
sjcl.mode.ocb2={name:"ocb2",encrypt:function(a,b,c,d,e,f){if(128!==sjcl.bitArray.bitLength(c))throw new sjcl.exception.invalid("ocb iv must be 128 bits");var g,h=sjcl.mode.ocb2.S,k=sjcl.bitArray,l=k.i,n=[0,0,0,0];c=h(a.encrypt(c));var m,p=[];d=d||[];e=e||64;for(g=0;g+4<b.length;g+=4)m=b.slice(g,g+4),n=l(n,m),p=p.concat(l(c,a.encrypt(l(c,m)))),c=h(c);m=b.slice(g);b=k.bitLength(m);g=a.encrypt(l(c,[0,0,0,b]));m=k.clamp(l(m.concat([0,0,0]),g),b);n=l(n,l(m.concat([0,0,0]),g));n=a.encrypt(l(n,l(c,h(c))));
d.length&&(n=l(n,f?d:sjcl.mode.ocb2.pmac(a,d)));return p.concat(k.concat(m,k.clamp(n,e)))},decrypt:function(a,b,c,d,e,f){if(128!==sjcl.bitArray.bitLength(c))throw new sjcl.exception.invalid("ocb iv must be 128 bits");e=e||64;var g=sjcl.mode.ocb2.S,h=sjcl.bitArray,k=h.i,l=[0,0,0,0],n=g(a.encrypt(c)),m,p,r=sjcl.bitArray.bitLength(b)-e,q=[];d=d||[];for(c=0;c+4<r/32;c+=4)m=k(n,a.decrypt(k(n,b.slice(c,c+4)))),l=k(l,m),q=q.concat(m),n=g(n);p=r-32*c;m=a.encrypt(k(n,[0,0,0,p]));m=k(m,h.clamp(b.slice(c),p).concat([0,
0,0]));l=k(l,m);l=a.encrypt(k(l,k(n,g(n))));d.length&&(l=k(l,f?d:sjcl.mode.ocb2.pmac(a,d)));if(!h.equal(h.clamp(l,e),h.bitSlice(b,r)))throw new sjcl.exception.corrupt("ocb: tag doesn't match");return q.concat(h.clamp(m,p))},pmac:function(a,b){var c,d=sjcl.mode.ocb2.S,e=sjcl.bitArray,f=e.i,g=[0,0,0,0],h=a.encrypt([0,0,0,0]),h=f(h,d(d(h)));for(c=0;c+4<b.length;c+=4)h=d(h),g=f(g,a.encrypt(f(h,b.slice(c,c+4))));c=b.slice(c);128>e.bitLength(c)&&(h=f(h,d(h)),c=e.concat(c,[-2147483648,0,0,0]));g=f(g,c);
return a.encrypt(f(d(f(h,d(h))),g))},S:function(a){return[a[0]<<1^a[1]>>>31,a[1]<<1^a[2]>>>31,a[2]<<1^a[3]>>>31,a[3]<<1^135*(a[0]>>>31)]}};
sjcl.mode.gcm={name:"gcm",encrypt:function(a,b,c,d,e){var f=b.slice(0);b=sjcl.bitArray;d=d||[];a=sjcl.mode.gcm.C(!0,a,f,d,c,e||128);return b.concat(a.data,a.tag)},decrypt:function(a,b,c,d,e){var f=b.slice(0),g=sjcl.bitArray,h=g.bitLength(f);e=e||128;d=d||[];e<=h?(b=g.bitSlice(f,h-e),f=g.bitSlice(f,0,h-e)):(b=f,f=[]);a=sjcl.mode.gcm.C(!1,a,f,d,c,e);if(!g.equal(a.tag,b))throw new sjcl.exception.corrupt("gcm: tag doesn't match");return a.data},ka:function(a,b){var c,d,e,f,g,h=sjcl.bitArray.i;e=[0,0,
0,0];f=b.slice(0);for(c=0;128>c;c++){(d=0!==(a[Math.floor(c/32)]&1<<31-c%32))&&(e=h(e,f));g=0!==(f[3]&1);for(d=3;0<d;d--)f[d]=f[d]>>>1|(f[d-1]&1)<<31;f[0]>>>=1;g&&(f[0]^=-0x1f000000)}return e},j:function(a,b,c){var d,e=c.length;b=b.slice(0);for(d=0;d<e;d+=4)b[0]^=0xffffffff&c[d],b[1]^=0xffffffff&c[d+1],b[2]^=0xffffffff&c[d+2],b[3]^=0xffffffff&c[d+3],b=sjcl.mode.gcm.ka(b,a);return b},C:function(a,b,c,d,e,f){var g,h,k,l,n,m,p,r,q=sjcl.bitArray;m=c.length;p=q.bitLength(c);r=q.bitLength(d);h=q.bitLength(e);
g=b.encrypt([0,0,0,0]);96===h?(e=e.slice(0),e=q.concat(e,[1])):(e=sjcl.mode.gcm.j(g,[0,0,0,0],e),e=sjcl.mode.gcm.j(g,e,[0,0,Math.floor(h/0x100000000),h&0xffffffff]));h=sjcl.mode.gcm.j(g,[0,0,0,0],d);n=e.slice(0);d=h.slice(0);a||(d=sjcl.mode.gcm.j(g,h,c));for(l=0;l<m;l+=4)n[3]++,k=b.encrypt(n),c[l]^=k[0],c[l+1]^=k[1],c[l+2]^=k[2],c[l+3]^=k[3];c=q.clamp(c,p);a&&(d=sjcl.mode.gcm.j(g,h,c));a=[Math.floor(r/0x100000000),r&0xffffffff,Math.floor(p/0x100000000),p&0xffffffff];d=sjcl.mode.gcm.j(g,d,a);k=b.encrypt(e);
d[0]^=k[0];d[1]^=k[1];d[2]^=k[2];d[3]^=k[3];return{tag:q.bitSlice(d,0,f),data:c}}};sjcl.misc.hmac=function(a,b){this.W=b=b||sjcl.hash.sha256;var c=[[],[]],d,e=b.prototype.blockSize/32;this.w=[new b,new b];a.length>e&&(a=b.hash(a));for(d=0;d<e;d++)c[0][d]=a[d]^909522486,c[1][d]=a[d]^1549556828;this.w[0].update(c[0]);this.w[1].update(c[1]);this.R=new b(this.w[0])};
sjcl.misc.hmac.prototype.encrypt=sjcl.misc.hmac.prototype.mac=function(a){if(this.aa)throw new sjcl.exception.invalid("encrypt on already updated hmac called!");this.update(a);return this.digest(a)};sjcl.misc.hmac.prototype.reset=function(){this.R=new this.W(this.w[0]);this.aa=!1};sjcl.misc.hmac.prototype.update=function(a){this.aa=!0;this.R.update(a)};sjcl.misc.hmac.prototype.digest=function(){var a=this.R.finalize(),a=(new this.W(this.w[1])).update(a).finalize();this.reset();return a};
sjcl.misc.pbkdf2=function(a,b,c,d,e){c=c||1E4;if(0>d||0>c)throw new sjcl.exception.invalid("invalid params to pbkdf2");"string"===typeof a&&(a=sjcl.codec.utf8String.toBits(a));"string"===typeof b&&(b=sjcl.codec.utf8String.toBits(b));e=e||sjcl.misc.hmac;a=new e(a);var f,g,h,k,l=[],n=sjcl.bitArray;for(k=1;32*l.length<(d||1);k++){e=f=a.encrypt(n.concat(b,[k]));for(g=1;g<c;g++)for(f=a.encrypt(f),h=0;h<f.length;h++)e[h]^=f[h];l=l.concat(e)}d&&(l=n.clamp(l,d));return l};
sjcl.prng=function(a){this.c=[new sjcl.hash.sha256];this.m=[0];this.P=0;this.H={};this.N=0;this.U={};this.Z=this.f=this.o=this.ha=0;this.b=[0,0,0,0,0,0,0,0];this.h=[0,0,0,0];this.L=void 0;this.M=a;this.D=!1;this.K={progress:{},seeded:{}};this.u=this.ga=0;this.I=1;this.J=2;this.ca=0x10000;this.T=[0,48,64,96,128,192,0x100,384,512,768,1024];this.da=3E4;this.ba=80};
sjcl.prng.prototype={randomWords:function(a,b){var c=[],d;d=this.isReady(b);var e;if(d===this.u)throw new sjcl.exception.notReady("generator isn't seeded");if(d&this.J){d=!(d&this.I);e=[];var f=0,g;this.Z=e[0]=(new Date).valueOf()+this.da;for(g=0;16>g;g++)e.push(0x100000000*Math.random()|0);for(g=0;g<this.c.length&&(e=e.concat(this.c[g].finalize()),f+=this.m[g],this.m[g]=0,d||!(this.P&1<<g));g++);this.P>=1<<this.c.length&&(this.c.push(new sjcl.hash.sha256),this.m.push(0));this.f-=f;f>this.o&&(this.o=
f);this.P++;this.b=sjcl.hash.sha256.hash(this.b.concat(e));this.L=new sjcl.cipher.aes(this.b);for(d=0;4>d&&(this.h[d]=this.h[d]+1|0,!this.h[d]);d++);}for(d=0;d<a;d+=4)0===(d+1)%this.ca&&y(this),e=z(this),c.push(e[0],e[1],e[2],e[3]);y(this);return c.slice(0,a)},setDefaultParanoia:function(a,b){if(0===a&&"Setting paranoia=0 will ruin your security; use it only for testing"!==b)throw new sjcl.exception.invalid("Setting paranoia=0 will ruin your security; use it only for testing");this.M=a},addEntropy:function(a,
b,c){c=c||"user";var d,e,f=(new Date).valueOf(),g=this.H[c],h=this.isReady(),k=0;d=this.U[c];void 0===d&&(d=this.U[c]=this.ha++);void 0===g&&(g=this.H[c]=0);this.H[c]=(this.H[c]+1)%this.c.length;switch(typeof a){case "number":void 0===b&&(b=1);this.c[g].update([d,this.N++,1,b,f,1,a|0]);break;case "object":c=Object.prototype.toString.call(a);if("[object Uint32Array]"===c){e=[];for(c=0;c<a.length;c++)e.push(a[c]);a=e}else for("[object Array]"!==c&&(k=1),c=0;c<a.length&&!k;c++)"number"!==typeof a[c]&&
(k=1);if(!k){if(void 0===b)for(c=b=0;c<a.length;c++)for(e=a[c];0<e;)b++,e=e>>>1;this.c[g].update([d,this.N++,2,b,f,a.length].concat(a))}break;case "string":void 0===b&&(b=a.length);this.c[g].update([d,this.N++,3,b,f,a.length]);this.c[g].update(a);break;default:k=1}if(k)throw new sjcl.exception.bug("random: addEntropy only supports number, array of numbers or string");this.m[g]+=b;this.f+=b;h===this.u&&(this.isReady()!==this.u&&A("seeded",Math.max(this.o,this.f)),A("progress",this.getProgress()))},
isReady:function(a){a=this.T[void 0!==a?a:this.M];return this.o&&this.o>=a?this.m[0]>this.ba&&(new Date).valueOf()>this.Z?this.J|this.I:this.I:this.f>=a?this.J|this.u:this.u},getProgress:function(a){a=this.T[a?a:this.M];return this.o>=a?1:this.f>a?1:this.f/a},startCollectors:function(){if(!this.D){this.a={loadTimeCollector:B(this,this.ma),mouseCollector:B(this,this.oa),keyboardCollector:B(this,this.la),accelerometerCollector:B(this,this.ea),touchCollector:B(this,this.qa)};if(window.addEventListener)window.addEventListener("load",
this.a.loadTimeCollector,!1),window.addEventListener("mousemove",this.a.mouseCollector,!1),window.addEventListener("keypress",this.a.keyboardCollector,!1),window.addEventListener("devicemotion",this.a.accelerometerCollector,!1),window.addEventListener("touchmove",this.a.touchCollector,!1);else if(document.attachEvent)document.attachEvent("onload",this.a.loadTimeCollector),document.attachEvent("onmousemove",this.a.mouseCollector),document.attachEvent("keypress",this.a.keyboardCollector);else throw new sjcl.exception.bug("can't attach event");
this.D=!0}},stopCollectors:function(){this.D&&(window.removeEventListener?(window.removeEventListener("load",this.a.loadTimeCollector,!1),window.removeEventListener("mousemove",this.a.mouseCollector,!1),window.removeEventListener("keypress",this.a.keyboardCollector,!1),window.removeEventListener("devicemotion",this.a.accelerometerCollector,!1),window.removeEventListener("touchmove",this.a.touchCollector,!1)):document.detachEvent&&(document.detachEvent("onload",this.a.loadTimeCollector),document.detachEvent("onmousemove",
this.a.mouseCollector),document.detachEvent("keypress",this.a.keyboardCollector)),this.D=!1)},addEventListener:function(a,b){this.K[a][this.ga++]=b},removeEventListener:function(a,b){var c,d,e=this.K[a],f=[];for(d in e)e.hasOwnProperty(d)&&e[d]===b&&f.push(d);for(c=0;c<f.length;c++)d=f[c],delete e[d]},la:function(){C(this,1)},oa:function(a){var b,c;try{b=a.x||a.clientX||a.offsetX||0,c=a.y||a.clientY||a.offsetY||0}catch(d){c=b=0}0!=b&&0!=c&&this.addEntropy([b,c],2,"mouse");C(this,0)},qa:function(a){a=
a.touches[0]||a.changedTouches[0];this.addEntropy([a.pageX||a.clientX,a.pageY||a.clientY],1,"touch");C(this,0)},ma:function(){C(this,2)},ea:function(a){a=a.accelerationIncludingGravity.x||a.accelerationIncludingGravity.y||a.accelerationIncludingGravity.z;if(window.orientation){var b=window.orientation;"number"===typeof b&&this.addEntropy(b,1,"accelerometer")}a&&this.addEntropy(a,2,"accelerometer");C(this,0)}};
function A(a,b){var c,d=sjcl.random.K[a],e=[];for(c in d)d.hasOwnProperty(c)&&e.push(d[c]);for(c=0;c<e.length;c++)e[c](b)}function C(a,b){"undefined"!==typeof window&&window.performance&&"function"===typeof window.performance.now?a.addEntropy(window.performance.now(),b,"loadtime"):a.addEntropy((new Date).valueOf(),b,"loadtime")}function y(a){a.b=z(a).concat(z(a));a.L=new sjcl.cipher.aes(a.b)}function z(a){for(var b=0;4>b&&(a.h[b]=a.h[b]+1|0,!a.h[b]);b++);return a.L.encrypt(a.h)}
function B(a,b){return function(){b.apply(a,arguments)}}sjcl.random=new sjcl.prng(6);
a:try{var D,E,F,G;if(G="undefined"!==typeof module&&module.exports){var H;try{H=require("crypto")}catch(a){H=null}G=E=H}if(G&&E.randomBytes)D=E.randomBytes(128),D=new Uint32Array((new Uint8Array(D)).buffer),sjcl.random.addEntropy(D,1024,"crypto['randomBytes']");else if("undefined"!==typeof window&&"undefined"!==typeof Uint32Array){F=new Uint32Array(32);if(window.crypto&&window.crypto.getRandomValues)window.crypto.getRandomValues(F);else if(window.msCrypto&&window.msCrypto.getRandomValues)window.msCrypto.getRandomValues(F);
else break a;sjcl.random.addEntropy(F,1024,"crypto['getRandomValues']")}}catch(a){"undefined"!==typeof window&&window.console&&(console.log("There was an error collecting entropy from the browser:"),console.log(a))}
sjcl.json={defaults:{v:1,iter:1E4,ks:128,ts:64,mode:"ccm",adata:"",cipher:"aes"},ja:function(a,b,c,d){c=c||{};d=d||{};var e=sjcl.json,f=e.g({iv:sjcl.random.randomWords(4,0)},e.defaults),g;e.g(f,c);c=f.adata;"string"===typeof f.salt&&(f.salt=sjcl.codec.base64.toBits(f.salt));"string"===typeof f.iv&&(f.iv=sjcl.codec.base64.toBits(f.iv));if(!sjcl.mode[f.mode]||!sjcl.cipher[f.cipher]||"string"===typeof a&&100>=f.iter||64!==f.ts&&96!==f.ts&&128!==f.ts||128!==f.ks&&192!==f.ks&&0x100!==f.ks||2>f.iv.length||
4<f.iv.length)throw new sjcl.exception.invalid("json encrypt: invalid parameters");"string"===typeof a?(g=sjcl.misc.cachedPbkdf2(a,f),a=g.key.slice(0,f.ks/32),f.salt=g.salt):sjcl.ecc&&a instanceof sjcl.ecc.elGamal.publicKey&&(g=a.kem(),f.kemtag=g.tag,a=g.key.slice(0,f.ks/32));"string"===typeof b&&(b=sjcl.codec.utf8String.toBits(b));"string"===typeof c&&(f.adata=c=sjcl.codec.utf8String.toBits(c));g=new sjcl.cipher[f.cipher](a);e.g(d,f);d.key=a;f.ct="ccm"===f.mode&&sjcl.arrayBuffer&&sjcl.arrayBuffer.ccm&&
b instanceof ArrayBuffer?sjcl.arrayBuffer.ccm.encrypt(g,b,f.iv,c,f.ts):sjcl.mode[f.mode].encrypt(g,b,f.iv,c,f.ts);return f},encrypt:function(a,b,c,d){var e=sjcl.json,f=e.ja.apply(e,arguments);return e.encode(f)},ia:function(a,b,c,d){c=c||{};d=d||{};var e=sjcl.json;b=e.g(e.g(e.g({},e.defaults),b),c,!0);var f,g;f=b.adata;"string"===typeof b.salt&&(b.salt=sjcl.codec.base64.toBits(b.salt));"string"===typeof b.iv&&(b.iv=sjcl.codec.base64.toBits(b.iv));if(!sjcl.mode[b.mode]||!sjcl.cipher[b.cipher]||"string"===
typeof a&&100>=b.iter||64!==b.ts&&96!==b.ts&&128!==b.ts||128!==b.ks&&192!==b.ks&&0x100!==b.ks||!b.iv||2>b.iv.length||4<b.iv.length)throw new sjcl.exception.invalid("json decrypt: invalid parameters");"string"===typeof a?(g=sjcl.misc.cachedPbkdf2(a,b),a=g.key.slice(0,b.ks/32),b.salt=g.salt):sjcl.ecc&&a instanceof sjcl.ecc.elGamal.secretKey&&(a=a.unkem(sjcl.codec.base64.toBits(b.kemtag)).slice(0,b.ks/32));"string"===typeof f&&(f=sjcl.codec.utf8String.toBits(f));g=new sjcl.cipher[b.cipher](a);f="ccm"===
b.mode&&sjcl.arrayBuffer&&sjcl.arrayBuffer.ccm&&b.ct instanceof ArrayBuffer?sjcl.arrayBuffer.ccm.decrypt(g,b.ct,b.iv,b.tag,f,b.ts):sjcl.mode[b.mode].decrypt(g,b.ct,b.iv,f,b.ts);e.g(d,b);d.key=a;return 1===c.raw?f:sjcl.codec.utf8String.fromBits(f)},decrypt:function(a,b,c,d){var e=sjcl.json;return e.ia(a,e.decode(b),c,d)},encode:function(a){var b,c="{",d="";for(b in a)if(a.hasOwnProperty(b)){if(!b.match(/^[a-z0-9]+$/i))throw new sjcl.exception.invalid("json encode: invalid property name");c+=d+'"'+
b+'":';d=",";switch(typeof a[b]){case "number":case "boolean":c+=a[b];break;case "string":c+='"'+escape(a[b])+'"';break;case "object":c+='"'+sjcl.codec.base64.fromBits(a[b],0)+'"';break;default:throw new sjcl.exception.bug("json encode: unsupported type");}}return c+"}"},decode:function(a){a=a.replace(/\s/g,"");if(!a.match(/^\{.*\}$/))throw new sjcl.exception.invalid("json decode: this isn't json!");a=a.replace(/^\{|\}$/g,"").split(/,/);var b={},c,d;for(c=0;c<a.length;c++){if(!(d=a[c].match(/^\s*(?:(["']?)([a-z][a-z0-9]*)\1)\s*:\s*(?:(-?\d+)|"([a-z0-9+\/%*_.@=\-]*)"|(true|false))$/i)))throw new sjcl.exception.invalid("json decode: this isn't json!");
null!=d[3]?b[d[2]]=parseInt(d[3],10):null!=d[4]?b[d[2]]=d[2].match(/^(ct|adata|salt|iv)$/)?sjcl.codec.base64.toBits(d[4]):unescape(d[4]):null!=d[5]&&(b[d[2]]="true"===d[5])}return b},g:function(a,b,c){void 0===a&&(a={});if(void 0===b)return a;for(var d in b)if(b.hasOwnProperty(d)){if(c&&void 0!==a[d]&&a[d]!==b[d])throw new sjcl.exception.invalid("required parameter overridden");a[d]=b[d]}return a},sa:function(a,b){var c={},d;for(d in a)a.hasOwnProperty(d)&&a[d]!==b[d]&&(c[d]=a[d]);return c},ra:function(a,
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Unknown bond type (\"+t.kind_+\")\"];break;case\"frac\":var o=\"\\\\frac{\"+t.p1+\"}{\"+t.p2+\"}\";e=\"\\\\mathchoice{\\\\textstyle\"+o+\"}{\"+o+\"}{\"+o+\"}{\"+o+\"}\";break;case\"pu-frac\":var a=\"\\\\frac{\"+r._goInner(t.p1)+\"}{\"+r._goInner(t.p2)+\"}\";e=\"\\\\mathchoice{\\\\textstyle\"+a+\"}{\"+a+\"}{\"+a+\"}{\"+a+\"}\";break;case\"tex-math\":e=t.p1+\" \";break;case\"frac-ce\":e=\"\\\\frac{\"+r._goInner(t.p1)+\"}{\"+r._goInner(t.p2)+\"}\";break;case\"overset\":e=\"\\\\overset{\"+r._goInner(t.p1)+\"}{\"+r._goInner(t.p2)+\"}\";break;case\"underset\":e=\"\\\\underset{\"+r._goInner(t.p1)+\"}{\"+r._goInner(t.p2)+\"}\";break;case\"underbrace\":e=\"\\\\underbrace{\"+r._goInner(t.p1)+\"}_{\"+r._goInner(t.p2)+\"}\";break;case\"color\":e=\"{\\\\color{\"+t.color1+\"}{\"+r._goInner(t.color2)+\"}}\";break;case\"color0\":e=\"\\\\color{\"+t.color+\"}\";break;case\"arrow\":var i={rd:r._goInner(t.rd),rq:r._goInner(t.rq)},c=\"\\\\x\"+r._getArrow(t.r);i.rq&&(c+=\"[{\"+i.rq+\"}]\"),e=c+=i.rd?\"{\"+i.rd+\"}\":\"{}\";break;case\"operator\":e=r._getOperator(t.kind_);break;case\"1st-level escape\":e=t.p1+\" \";break;case\"space\":e=\" \";break;case\"entitySkip\":case\"pu-space-1\":e=\"~\";break;case\"pu-space-2\":e=\"\\\\mkern3mu \";break;case\"1000 separator\":e=\"\\\\mkern2mu \";break;case\"commaDecimal\":e=\"{,}\";break;case\"comma enumeration L\":e=\"{\"+t.p1+\"}\\\\mkern6mu \";break;case\"comma enumeration M\":e=\"{\"+t.p1+\"}\\\\mkern3mu \";break;case\"comma enumeration S\":e=\"{\"+t.p1+\"}\\\\mkern1mu \";break;case\"hyphen\":e=\"\\\\text{-}\";break;case\"addition compound\":e=\"\\\\,{\\\\cdot}\\\\,\";break;case\"electron dot\":e=\"\\\\mkern1mu \\\\bullet\\\\mkern1mu \";break;case\"KV x\":e=\"{\\\\times}\";break;case\"prime\":e=\"\\\\prime \";break;case\"cdot\":e=\"\\\\cdot \";break;case\"tight cdot\":e=\"\\\\mkern1mu{\\\\cdot}\\\\mkern1mu \";break;case\"times\":e=\"\\\\times \";break;case\"circa\":e=\"{\\\\sim}\";break;case\"^\":e=\"uparrow\";break;case\"v\":e=\"downarrow\";break;case\"ellipsis\":e=\"\\\\ldots \";break;case\"/\":e=\"/\";break;case\" / \":e=\"\\\\,/\\\\,\";break;default:throw[\"MhchemBugT\",\"mhchem bug T. Please report.\"]}return e},_getArrow:function(t){switch(t){case\"->\":case\"\\u2192\":case\"\\u27f6\":return\"rightarrow\";case\"<-\":return\"leftarrow\";case\"<->\":return\"leftrightarrow\";case\"<--\\x3e\":return\"rightleftarrows\";case\"<=>\":case\"\\u21cc\":return\"rightleftharpoons\";case\"<=>>\":return\"rightequilibrium\";case\"<<=>\":return\"leftequilibrium\";default:throw[\"MhchemBugT\",\"mhchem bug T. Please report.\"]}},_getBond:function(t){switch(t){case\"-\":case\"1\":return\"{-}\";case\"=\":case\"2\":return\"{=}\";case\"#\":case\"3\":return\"{\\\\equiv}\";case\"~\":return\"{\\\\tripledash}\";case\"~-\":return\"{\\\\mathrlap{\\\\raisebox{-.1em}{$-$}}\\\\raisebox{.1em}{$\\\\tripledash$}}\";case\"~=\":case\"~--\":return\"{\\\\mathrlap{\\\\raisebox{-.2em}{$-$}}\\\\mathrlap{\\\\raisebox{.2em}{$\\\\tripledash$}}-}\";case\"-~-\":return\"{\\\\mathrlap{\\\\raisebox{-.2em}{$-$}}\\\\mathrlap{\\\\raisebox{.2em}{$-$}}\\\\tripledash}\";case\"...\":return\"{{\\\\cdot}{\\\\cdot}{\\\\cdot}}\";case\"....\":return\"{{\\\\cdot}{\\\\cdot}{\\\\cdot}{\\\\cdot}}\";case\"->\":return\"{\\\\rightarrow}\";case\"<-\":return\"{\\\\leftarrow}\";case\"<\":return\"{<}\";case\">\":return\"{>}\";default:throw[\"MhchemBugT\",\"mhchem bug T. Please report.\"]}},_getOperator:function(t){switch(t){case\"+\":return\" {}+{} \";case\"-\":return\" {}-{} \";case\"=\":return\" {}={} \";case\"<\":return\" {}<{} \";case\">\":return\" {}>{} \";case\"<<\":return\" {}\\\\ll{} \";case\">>\":return\" {}\\\\gg{} \";case\"\\\\pm\":return\" {}\\\\pm{} \";case\"\\\\approx\":case\"$\\\\approx$\":return\" {}\\\\approx{} \";case\"v\":case\"(v)\":return\" \\\\downarrow{} \";case\"^\":case\"(^)\":return\" \\\\uparrow{} \";default:throw[\"MhchemBugT\",\"mhchem bug T. Please 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","title":"$:/plugins/tiddlywiki/katex/fonts/KaTeX_AMS-Regular.woff","type":"applica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BMXiEQCSaIWPdA8GulMfL8JXhS5SLhriRt0DdP+7N1uPyWH/MwQ+GH5nFvaaGzzh2/+7pBpm5wpL6Hftb+4/ePhirobk2XTFaUGkR0u6lzCSmpSqGYnFk9G4iPNJPZ0M65YGo3kXm2j+qAT9ztNcCBNnHGawpIp3RpgrzdI7bilqODYpq8uzflh2MRPefNbNqJpaxKKc3u4SwLfie3dHdaSIYQMAwK1McWbdyQBF/es/emKwtqIIyIIcN3LQgDXaF34odJCydrAwrP5hLQ/Q50cbvnUOR44asKdCYvcJHbwxGKM9PPjl3DGGEeN5A2JF2eYfCzO5aG97ZhJJzWjkugfePmdXKy2HUSMMIsDsXPXAggyNa5fdcQFCPpa7ZwnDD9TGZccU41iCgqx6mmRu1+VyJhzxE/U5WZluh/Xt+6PZmWoFiTzjiEjU3LC3ZX84abCb276RqxHT4IqZ+jyBFLe/+h40Dz8b6lHcJgDrnVMfuY3WMPYhzMIARb9bGtXIsJjgz8YiuqZNx9wL526J5MyOKKtc1oJTkxjy8N43yKqF2Jolc2o0eWtP/DV8tc8rlukTBsDL8yd35A0sMsr+Ze5XP+KgDDFTNBlWThJGy+arW9gg0VZ/v/oT+Eb46v4q1Wb6zu60hxW7cfM9bFZpha8Z3Vr/4jbYkreDq1dG+1ovGNa3Tm3qRNXMjCpksq6//OY5R45joW7xmCWc1ppxMOaEhKoxJy3DCTcQueW6xUlN0blsQTTn6iovqo4VhwuSl0m1M9uKex81lfYrbWfsF/ctZ/czWhgibCULd//lwKLKYkZRknniOUuvBJh90mKFii3M1dPlLU+4ppGwNFG2gjwPr34aPomin6DoSzBA317PsNawRoOabQ/b1AHEkUzDb2fhseh05agAAYia1z3BwrWU4ahYqnex88Sd5086BEiQV6eSJV3V4F2aXzxwec8FXnb002/eLEqJCvTsJg/xQluMPfh1R47sFWCYKJXXzXz6cE1g+jP9KBboTA/TmW7635n2ZtGA6NFXPTrcDey3NyRzYL61DCYsRKNVtdOuQ4piPH62EjEAJLxIbjg6jyBgapaEGGdRBSjRuxTFyahkq4RoUhuGP3CjpxKAuEkDIfysHzu8QjhZlxNTRRXeZaQu7b31/H0goMLxT3z2TRwiHKPFCbvjh38ysL/rRadlLZ5r1nhIvIOG9pLLl5+sCgqz/LOvrxBy+ZuX/xwFrmqET991auLUwbFArXYohAqUg2uCr6RcUFeD6Y9AU33c5gBNX7LWKG/634iHq5YzMinNkTocLmrB04MPNevmHTSsGbDgF00gnZtKmI7A8gACUHuSBMPqdDwcNbX08iPDnMDIBYZLZkUOiOnmiq0mLRLslAF7vxs5GEMcYsUxNxwrRbIzj61xnBCDIoRXF6CEUamp6cXY/QSbkNjJKJZTWNJK6WjCc2LTB1UGHL/LmOCSkOVzVo7VVnYIhJ8tHthuYzlLFRX0aDqaL0UijUNR8ODerAhg/5vyLfBTlK1lylZlY2W7jm4Re8hTfy3euHRv7M66o1a1Q58d7mAOGFZr4WDzEITFRzfEcU1WTImwqXCViz3xup1PKGLOMfzxqIfU7SKp7NMINo57JYGPwRVZtDqLt13+hbzM1577BF8b10nYzhNoZbYlUtf/+vrdFwgg0nzRrTgLBAB+C13Vzm+t/nqbxQA+WFNyoRBcXfNAKegoWwMD9zL9NaHX6v+/X5KjrnGQWwOTuPR//a+j1qBTW+vRKKyNG7fulbuZwCMtJfLSR3tjDTHL3ZW6ylPCpa27YrmMwMYTUVPn/QfMApOtLS7YdlUx7ePnI0pDglldgEJZ9+5/K5PZdOFgy04LpBEhkgKN1Nxxwe9dfbGRiNiC5D72oR4gnKvi9HVJDQiim7RNG4psTmosMUDkAbCBEb7hQgxAhyAtCgBDGATcu89hIHCoWjLTLOShNFHcY0JBFKT/B7cQyZN42mNgZGBgkGcoY2BiAAIwKcHQCySl+HhAAgAX5wF0AAAAABIAEgASABIAiwE0AYsB+gJeAtcDVQPqBGcE0wVhBdMGdQb3B18H1QhbCPYJcgnICkcKnAseC7UMIAy3DLcAAQAAAAEAAL2P45NfDzz1AA8D6AAAAAAAAAAAAAAAAAAAAAD/4v9xBHEDFQAAAAgAAgAAAAAAAHjaDYonAoEBFMd/3tNsyd6SPZIz2LrmAt9NdFknuYIkaYqVZft7+7940QbwDMAwmiEjS7ISwq9KVMLGD/ZnVHVARPL/i6xpyMv0LTnvhpR2/3dN0ZMdUW3h6Njyc9s8BXH+D1kQ1xNx2dOVFVk5UuYFLhwcF7gAAHjaY2BkYGAW/V/IEMWy8f+jfw9YCoEiqEAeAKZdBu0AeNpjYGLawDiBgZWBgamLaQ8DA0MPhGZ8wGDIyMSABBoYGN4LMLx5C+MHpLmmMDgwKDAsYFb4b8EQxSzK0K/AwNAfxwySZVoNJBQYGAH/OA9wAAAAeNpjYGBgAmJmIBYBkoxgmoXBAEhzACFIToEhimHB//9gliOI9f/x/8P/64BqoQAA6/MLsXjarFbXettMDh2quVeVFKaAmcjrNYeK090Lx7Q23fX7yK2kJed+9yrPwH0ZUOl3+2gLkJJ7+ZtVMIMywDnA0EKhAMW+7wUAb36I0e03WNr9q4/PTJwOwo8Q7/uYq0c/+0W/aLXkgWlZKAIUWm50hCF06DpoKITwo4M5JS1pOZhX0P6cr1SFq7GsIQzdJFfRblLPa8zpvU+Aw5IWOmpjYetTJ5fL0TFoHd6xWNsZrRruHaCldDtlo0w2iWLLPww6NYM9HSwozNtY1T7nw5rWXQcT2oD/28LC1F8708aI9loeljzfwnw92PmbT85m7ANubZFqjbxxjldzQQBJ5k0VTZOquwOcZfssedKpPhAbcQQ4uOWHpAG2DfLqBa9ehGYYBIFJbOGwbqHY8VG8YWeL9uYbvMere2+iH+OixR4/iuIgCNpRgIYdBF0EAbQJj3QDB4sKqIJCPSJMfXrLxz7pYr90qQMUEjpYSukmJqCd9B24wEaGa2bl8zf5eS0szlhk1BBDTLmS2WKdGNr2wy0z2gl8GVgB4NquTzaTeOmV4mCfwgFtd0Qua3M/baUrAYV0I8wdfESjRQmwb8bBAQVc7SjBKogD4BNwLQzYJdxIqx1UnYFRoT13xjoanCF1epCGs1MMW5KeoIfgxTKCdpdsYXJDEExcOyKMWiujjSzFyCXh+JCiBEVdFDSqUkCfR4ZF3qMsprSCGRriMZXkch62ow0HxxW5AuCYfs0H0II6hOO826HdeNqvCUWrlBQgDlqUGSd0CHEIOEG0OTip3uz5SaG9ETzEkUP5ycGyerPtv9nNlKZF+nKqr6hETOp9P5mcpBZGLk7YAUPK1d1kjL/G6QuNmgRCsuUnTB/hdeMYOO34jCUprLc2MzuF0CfVBISkSfU3SXu6WZe0MBGiLIkvjWKlYxhG2q2qEonIeXs+TkoXPByVLo5IYsqF8PvNm4aYEGXhui4zUCGbESWVfhv/a5sPiK4aYazaDt5QicHyJvHN8pZK8ixvq6TA0lRJkeUdlZRY3lVJH8t7KulneV8lAyxtJXv8YykkpiU00PgH3xYH1Qlj7cj478zonDBOHRn/kxlBCRyzL8VJoL5mUBnnSXwW4QOq6wHhYykJH8uHhI9lnfCxnCJ8LP9E+FhOEz6WfyZ8LGcIH8uGgqV0YB8pSnszBM0laG4pSWzwzM4qfGTjI7qPjxVAEy7ppozmJD/Yr/QwGf2TXouT0ZLHE4ePZ5KiUfX82SBF+TSj50qfZwqep5U/V6Lr453PiYZNtVysF7Uvgv82VuRc8syoMtYXxAc0L6kfhY7mHHypGjeWHJy7zhUN3SL3eWqRqNWhAU0Ukm/LqzhuyqaMwD8gPtCQbmfOMKoVYnhBUVl4g9wKdXqnbsmwcHFI24dxQwIsxXTm4mk3aGTnYUm6PW/AkJ8pa9v+5wIUwfxcmCreDlxXAg5qiGUaITdDLOmz1zUEoif7r1TQYVtiUUdtMhd0ZNI65Cfd2ZhIAnlPyU3qsaQMm4STRJolhIuSSM4iyRKSxGI9os9ZJzqRi6hzEXn67j5Jj3MFDi71uADSFqe6XMglomm5ZyLMqX1TNjkpd3GlZ0vBZEyj2PMbsCQtkzQ9JR161Aos1Wn36uRvl6yJF017t1uSR371RCW6166Qf+Cchdxr8ZqS0GAWN/GG9rfMncCHpaCRzBoV28H1U9Ydc+uU1b0w9qoIrXDBvirhhsJFO6baeMYI1KWu1NAGzlKEx5DT+ZzKmI9wWLoZdB5QCUvQkHPd8zdVMliouxTyW0a6+UdNMWOKCN2SpEfViXmxgm6dTZWIBbvHyl9ot2hbssuLnDtNwSuioJpd+47gG15u4Au65a8v0b+h44xKGV/S+q3CeRLvmEWP6IbNWEY9tt4rHmj8f891kRY7FARQ+NYTdAlMmRFWgLu7Nm6Nuzbuvpi2DVKnKmT233wn7gPKoagQQqdiWCFgJCpIAKMKAWM0XYpxGjBBAyZpwFRUDCG0qaZVYkpFRfFpMyoxzdIJmqMzzdOZFuhMi6yzQ7GkELDMOsGKQsAqTbdijQakacA6DdhgfaFdtakS0xbrM22rxLRDJ2iXzrRHZ9qnMx3oMa5PTuChjXLNyiNni/KYg26jVh2dRHmJm1PozZk1EjfnOnNDstQLRj5HBvocl9DzK11OHFxDD26gB7faNibLu2Pk+T30/AF6/qhzxsET9OAZevCibVOyvFdGnr9Bz9+h5x86Zxx8Qg++oAffUaHSvmxzJVWFf3/+duhPkz4GU601ubJ07m/1cOb3ZV37A0STAUQAeNo1ybENwjAQheF3iQEDKAUtLRIoU0TRdVQgCqdOBmAEGiQ3MIsPN44nYCvAWFz1vf9wCHidjBA9OkejhkZ/EczaJwh1gl8pWmSti590G8sGhOXX8zYie0QJsGzJHo1r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","title":"$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Italic.woff","type":"application/font-woff"},"$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Regular.woff":{"text":"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","title":"$:/plugins/tiddlywiki/katex/fonts/KaTeX_Typewriter-Regular.woff","type":"application/font-woff"},"$:/plugins/tiddlywiki/katex/katex-logo":{"title":"$:/plugins/tiddlywiki/katex/katex-logo","text":"$$\\KaTeX$$\n"},"$:/plugins/tiddlywiki/katex/latex-parser.js":{"title":"$:/plugins/tiddlywiki/katex/latex-parser.js","text":"/*\\\ntitle: $:/plugins/tiddlywiki/katex/latex-parser.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for LaTeX. For example:\n\n```\n\t$$latex-goes-here$$\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except latex-parser \n\\rules only latex-parser \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"latex-parser\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$(?!\\$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = /\\$\\$/mg;\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext,\n\t\tdisplayMode;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tdisplayMode = text.indexOf('\\n') != -1;\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tdisplayMode = false;\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"latex\",\n\t\tattributes: {\n\t\t\ttext: {\n\t\t\t\ttype: \"text\",\n\t\t\t\tvalue: text\n\t\t\t},\n\t\t\tdisplayMode: {\n\t\t\t\ttype: \"text\",\n\t\t\t\tvalue: displayMode ? \"true\" : \"false\"\n\t\t\t}\n\t\t}\n\t}];\n};\n\n})();\n","type":"application/javascript","module-type":"wikirule"},"$:/plugins/tiddlywiki/katex/readme":{"title":"$:/plugins/tiddlywiki/katex/readme","text":"This is a TiddlyWiki plugin for mathematical and chemical typesetting based on [ext[KaTeX from Khan Academy|https://katex.org/]] (v0.16) and [ext[mhchem|https://github.com/mhchem/MathJax-mhchem]] through a [ext[Katex extension|https://github.com/KaTeX/KaTeX/tree/master/contrib/mhchem]].\n\nIt is completely self-contained, and doesn't need an Internet connection in order to work. It works both in the browser and under Node.js.\n\n[[Source code|https://github.com/Jermolene/TiddlyWiki5/blob/master/plugins/tiddlywiki/katex]]\n"},"$:/plugins/tiddlywiki/katex/snippets/logo":{"title":"$:/plugins/tiddlywiki/katex/snippets/logo","tags":"$:/tags/KaTeX/Snippet","caption":"KaTeX Logo","description":"Display a Logo of KaTeX","preview":"$$\\KaTeX$$","icon":"$:/plugins/tiddlywiki/katex/katex-logo","text":"$$\\KaTeX$$\n"},"$:/plugins/tiddlywiki/katex/snippets/math":{"title":"$:/plugins/tiddlywiki/katex/snippets/math","tags":"$:/tags/KaTeX/Snippet","caption":"KaTeX mathematical formula","description":"create a math block","preview":"$$i = \\sqrt{-1}$$","icon":"$:/plugins/tiddlywiki/katex/katex-logo","text":"$$\\KaTeX$$\n"},"$:/plugins/tiddlywiki/katex/styles":{"title":"$:/plugins/tiddlywiki/katex/styles","tags":"[[$:/tags/Stylesheet]]","text":"\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n/* KaTeX styles */\n\n{{$:/plugins/tiddlywiki/katex/katex.min.css}}\n\n/* Force text-rendering  (see https://github.com/Jermolene/TiddlyWiki5/issues/2500) */\n\n.katex {\n    text-rendering: auto;\n}\n\n/* Reset Automatic Numbering on a per tiddler basis */\n\n.tc-tiddler-frame {\n\tcounter-reset: katexEqnNo;\n}\n\n/* Avoid TW5's max-width: 100% */\n\n.katex svg {\n\tmax-width: initial;\n}\n\n/* Override font URLs */\n\n@font-face {\n\tfont-family: KaTeX_AMS;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_AMS-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Caligraphic;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Caligraphic-Bold.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Caligraphic;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Caligraphic-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Fraktur;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Fraktur-Bold.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Fraktur;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Fraktur-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Main;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Bold.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Main;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-BoldItalic.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_Main;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Italic.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_Main;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Math;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Math-BoldItalic.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_Math;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Math-Italic.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_SansSerif;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Bold.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_SansSerif;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Italic.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_SansSerif;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Script;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Script-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Size1;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size1-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Size2;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size2-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Size3;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size3-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Size4;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size4-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Typewriter;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Typewriter-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n"},"$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex-dropdown":{"title":"$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex-dropdown","text":"\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$view tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$transclude tiddler=<<snippetTitle>> mode=\"inline\"/>\n\n</$view>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/KaTeX/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/KaTeX/Snippet\"\n\ttext=\"\"\"$$snippet$$\"\"\"\n\tcaption=\"description shown in dropdown\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n\n[ext[KaTeX functions catalogue|https://khan.github.io/KaTeX/function-support.html]]\n\n[ext[Chemical equations reference|https://mhchem.github.io/MathJax-mhchem/]]\n"},"$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex":{"title":"$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex","tags":"$:/tags/EditorToolbar","icon":"$:/plugins/tiddlywiki/katex/katex-logo","caption":"katex","description":"create and insert preconfigured KaTeX snippets","condition":"[<targetTiddler>!is[image]]","dropdown":"$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex-dropdown","text":""},"$:/plugins/tiddlywiki/katex/ui/config/macro":{"title":"$:/plugins/tiddlywiki/katex/ui/config/macro","tags":"$:/tags/KaTeX/Config","caption":"Custom macro editor","text":"\\define katex-escape(text)\n<$vars t=$text$>\n<$latex text={{{[<t>search-replace:g:regexp[(?<!\\\\)#(\\d)],[{\\#_$1}]]}}}>\n</$vars>\n\\end\n\n\\define katex-create-macro()\n<$vars loc={{$:/temp/katex/new-macro-name}}>\n<$action-createtiddler $basetitle={{{[<loc>addprefix[$:/plugins/tiddlywiki/katex/macros/]]}}} tags=\"$:/tags/KaTeX/Macro\" type=\"text/plain\" caption={{$:/temp/katex/new-macro-name}} text={{$:/temp/katex/new-macro-command}} $overwrite=yes/>\n</$vars>\n\\end\n\n\\define katex-edit-cell()\n<$reveal state=\"$:/temp/katex/edit-macro\" type=match text={{!!title}}>\n<$edit-text tiddler=<<currentTiddler>> tag=\"input\" default=\"\"/>\n</$reveal>\n\\end\n\n\\define katex-view-cell()\n<$reveal state=\"$:/temp/katex/edit-macro\" type=nomatch text={{!!title}}>\n<tt><$view field=text/></tt>\n</$reveal>\n\\end\n\n\\define katex-edit-macro-button()\n<$reveal state=\"$:/temp/katex/edit-macro\" type=nomatch text={{!!title}}>\n<$button class=\"tc-btn-invisible tc-btn-dropdown\">\n<$action-setfield $tiddler=\"$:/temp/katex/edit-macro\" text={{!!title}}/>\n{{$:/core/images/edit-button}}\n</$button>\n</$reveal>\n\\end\n\n\\define katex-save-macro-button()\n<$reveal state=\"$:/temp/katex/edit-macro\" type=match text={{!!title}}>\n<$button class=\"tc-btn-invisible tc-btn-dropdown\">\n<$action-deletetiddler $tiddler=\"$:/temp/katex/edit-macro\"/>\n{{$:/core/images/done-button}}\n</$button>\n</$reveal>\n\\end\n\n<table>\n<tr>\n<th>Macro</th>\n<th>Command</th>\n<th>Preview</th>\n<th></th>\n</tr>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/KaTeX/Macro]!has[draft.of]sort[caption]]\">\n<tr>\n<td><tt><$text text={{!!caption}}/></tt></td>\n<td><<katex-edit-cell>><<katex-view-cell>></td>\n<td><<katex-escape {{!!text}}>></td>\n<td>\n<<katex-edit-macro-button>>\n<<katex-save-macro-button>>\n<$button class=\"tc-btn-invisible tc-btn-dropdown\">\n<$action-deletetiddler $tiddler={{!!title}}/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n\n<tr>\n<td colspan=\"4\" align=\"left\">Add a new macro</td>\n</tr>\n<tr>\n<td><$edit-text tiddler=\"$:/temp/katex/new-macro-name\" tag=\"input\" default=\"\"/></td>\n<td><$edit-text tiddler=\"$:/temp/katex/new-macro-command\" tag=\"input\" default=\"\"/></td>\n<td><<katex-escape {{$:/temp/katex/new-macro-command}}>></td>\n<td><$button actions=<<katex-create-macro>>>\n{{$:/language/EditTemplate/Fields/Add/Button}}\n</$button></td>\n</tr>\n\n<tr><td colspan=\"4\" align=\"left\">\n<details>\n<summary>Import</summary>\n<$edit-text tiddler=\"$:/temp/katex/import-macro\" tag=\"textarea\" default=\"\" class=\"tc-edit-texteditor\" placeholder=\"You can type commands like \\def\\ZZ{\\mathbb{Z}} and import them automatically.\"/>\n\n<$vars macros={{$:/temp/katex/import-macro}} sep=\"%.*\\n|\\n+\" re=\"^\\\\g?def([^{]*){(.*)}.*\">\n\n<$button>\n<$list filter=\"[<macros>splitregexp<sep>regexp<re>]\" variable=line>\n<$vars m={{{[<line>search-replace:g:regexp<re>,[$1]]}}} c={{{[<line>search-replace:g:regexp<re>,[$2]]}}}>\n<$action-createtiddler $basetitle={{{[<m>addprefix[$:/plugins/tiddlywiki/katex/macros/]]}}} tags=\"$:/tags/KaTeX/Macro\" type=\"text/plain\" caption=<<m>> text=<<c>> $overwrite=yes/>\n</$vars>\n</$list>\nImport\n</$button>\n<$button>\n<$action-setfield $tiddler=\"$:/temp/katex/import-macro\" text=\"\"/>\nClear\n</$button>\n\n''Preview''\n<table>\n<$list filter=\"[<macros>splitregexp<sep>regexp<re>]\" variable=line>\n<$vars m={{{[<line>search-replace:g:regexp<re>,[$1]]}}} c={{{[<line>search-replace:g:regexp<re>,[$2]]}}}>\n<tr>\n<td><tt><<m>></tt></td>\n<td><tt><<c>></tt></td>\n<td><$macrocall $name=katex-escape text=\"<<c>>\"/></td></tr>\n</$vars>\n</$list>\n</table>\n\n</$vars>\n</details>\n</td>\n</tr>\n\n<tr><td colspan=\"4\" align=\"left\">\n<details>\n<summary>Usage</summary>\n<ul>\n<li>\nYou can add entries like `\\ZZ`, `\\mathbb{Z}`, which will render as <$latex text=\"\\mathbb{Z}\"/>.\n</li>\n<li>\nAn entry mapping `\\dd#1#2` to `\\frac{d#1}{d#2}` will create a macro with two arguments; `\\dd{f}{x}` will then render as <$latex text=\"\\frac{df}{dx}\"/>.\n</li>\n<li>\nNote that the macros defined here have higher priority than those defined using `\\gdef`. Also, deleted macros will continue to exist until a full refresh.\n</li>\n</ul>\n</details>\n</td>\n</tr>\n</table>\n"},"$:/plugins/tiddlywiki/katex/usage":{"title":"$:/plugins/tiddlywiki/katex/usage","text":"!! Reference:\n\n# Mathematical typesetting: [ext[https://katex.org/docs/supported.html]]\n# Chemical typesetting: [ext[https://mhchem.github.io/MathJax-mhchem/]]\n\n!! Syntax\n\nThe usual way to include ~LaTeX is to use `$$` (when copying code examples from the references above, you will need to change from `$` to `$$`). For example:\n\n```\n$$\\displaystyle f(x) = \\int_{-\\infty}^\\infty\\hat f(\\xi)\\,e^{2 \\pi i \\xi x}\\,d\\xi$$\n```\n\n$$\\displaystyle f(x) = \\int_{-\\infty}^\\infty\\hat f(\\xi)\\,e^{2 \\pi i \\xi x}\\,d\\xi$$\n\nchemical:\n\n```\n$$\\ce{Hg^2+ ->[I-] HgI2 ->[I-] [Hg^{II}I4]^2-}$$\n```\n\n$$\\ce{Hg^2+ ->[I-] HgI2 ->[I-] [Hg^{II}I4]^2-}$$\n\nSingle line equations will render in inline mode. If there are newlines between the `$$` delimiters, the equations will be rendered in display mode.\n\nThe underlying widget can also be used directly, giving more flexibility:\n\n```\n<$latex text=\"f(x) = \\int_{-\\infty}^\\infty\\hat f(\\xi)\\,e^{2 \\pi i \\xi x}\\,d\\xi\" displayMode=\"true\"></$latex>\n```\n\n<$latex text=\"f(x) = \\int_{-\\infty}^\\infty\\hat f(\\xi)\\,e^{2 \\pi i \\xi x}\\,d\\xi\" displayMode=\"true\"></$latex>\n\nThe KaTeX widget is provided under the name `<$latex>` and is also available under the alias `<$katex>`. It's better to use the generic `<$latex>` name unless you are running multiple ~LaTeX plugins and wish to specifically target KaTeX.\n\n!! Macro\n\nTiddlers with tag `$:/tags/KaTeX/Macro` will be recognized as global KaTeX macros. You can create new macro using the form in the [[config|$:/plugins/tiddlywiki/katex/config]].\n"},"$:/plugins/tiddlywiki/katex/wrapper.js":{"title":"$:/plugins/tiddlywiki/katex/wrapper.js","text":"/*\\\ntitle: $:/plugins/tiddlywiki/katex/wrapper.js\ntype: application/javascript\nmodule-type: widget\n\nWrapper for `katex.min.js` that provides a `<$latex>` widget. It is also available under the alias `<$katex>`\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar katex = require(\"$:/plugins/tiddlywiki/katex/katex.min.js\"),\n    chemParse = require(\"$:/plugins/tiddlywiki/katex/mhchem.min.js\"),\n\tWidget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nkatex.macros = {};\nkatex.updateMacros = function() {\n\tvar tiddlers = $tw.wiki.getTiddlersWithTag(\"$:/tags/KaTeX/Macro\"),\n\t\tregex = /#\\d/g, // Remove the arguments like #1#2\n\t\ttid, macro, cmd;\n\tfor (var i=0; i < tiddlers.length; i++) {\n\t\ttid = $tw.wiki.getTiddler(tiddlers[i]);\n\t\ttry {\n\t\t\tmacro = tid.fields[\"caption\"];\n\t\t\tmacro = macro.replace(regex, \"\");\n\t\t\tcmd = tid.fields[\"text\"];\n\t\t\tkatex.macros[macro] = cmd;\n\t\t} catch(ex) {// Catch the bad ones\n\t\t};\n\t};\n};\n\nvar KaTeXWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKaTeXWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKaTeXWidget.prototype.render = function(parent,nextSibling) {\n\t// Housekeeping\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Get the source text\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\tvar displayMode = this.getAttribute(\"displayMode\",this.parseTreeNode.displayMode || \"false\") === \"true\";\n\tkatex.updateMacros();\n\t// Render it into a span\n\tvar span = this.document.createElement(\"span\"),\n\t\toptions = {throwOnError: false, displayMode: displayMode, macros: katex.macros};\n\ttry {\n\t\tif(!this.document.isTiddlyWikiFakeDom) {\n\t\t\tkatex.render(text,span,options);\n\t\t} else {\n\t\t\tspan.innerHTML = katex.renderToString(text,options);\n\t\t}\n\t} catch(ex) {\n\t\tspan.className = \"tc-error\";\n\t\tspan.textContent = ex;\n\t}\n\t// Insert it into the DOM\n\tparent.insertBefore(span,nextSibling);\n\tthis.domNodes.push(span);\n};\n\n/*\nCompute the internal state of the widget\n*/\nKaTeXWidget.prototype.execute = function() {\n\t// Nothing to do for a katex widget\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKaTeXWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.latex = KaTeXWidget;\nexports.katex = KaTeXWidget;\n\n})();\n\n","type":"application/javascript","module-type":"widget"}}}

{"tiddlers":{"$:/config/DefaultColourMappings/menubar-foreground":{"title":"$:/config/DefaultColourMappings/menubar-foreground","text":"#fff"},"$:/config/DefaultColourMappings/menubar-background":{"title":"$:/config/DefaultColourMappings/menubar-background","text":"#5778d8"},"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/pagecontrols":{"title":"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/pagecontrols","text":"hide"},"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/server":{"title":"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/server","text":"hide"},"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/sidebar":{"title":"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/sidebar","text":"hide"},"$:/config/plugins/menubar/TableOfContents/Tag":{"title":"$:/config/plugins/menubar/TableOfContents/Tag","text":"TableOfContents"},"$:/config/plugins/menubar/breakpoint":{"title":"$:/config/plugins/menubar/breakpoint","text":"620px"},"$:/plugins/tiddlywiki/menubar/config":{"title":"$:/plugins/tiddlywiki/menubar/config","tags":"$:/tags/ControlPanel/Toolbars","caption":"Menu Bar","text":"\\define config-base() $:/config/plugins/menubar/MenuItems/Visibility/\n\n! Menu Bar Configuration\n\n!! Menu Items\n\nSelect which menu items will be shown. You can also drag items to reorder them.\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/MenuBar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n\n!! Breakpoint Position\n\nThe breakpoint position between narrow and wide screens. Should include CSS units (eg. `400px`).\n\n<$edit-text tiddler=\"$:/config/plugins/menubar/breakpoint\" default=\"\" tag=\"input\"/>\n\n!! Contents Tag\n\nThe tag for the ~TableOfContents used in the Contents dropdown\n\n<$edit-text tiddler=\"$:/config/plugins/menubar/TableOfContents/Tag\" default=\"\" tag=\"input\"/>\n\n!! Menu Bar Colours\n\nTo change the colour of the menu bar, define the colours `menubar-foreground` and `menubar-background` in the currently selected palette\n"},"$:/plugins/tiddlywiki/menubar/items/contents":{"title":"$:/plugins/tiddlywiki/menubar/items/contents","caption":"Contents","description":"Table of Contents","is-dropdown":"yes","tags":"$:/tags/MenuBar","text":"<div class=\"tc-table-of-contents\">\n\n<$macrocall $name=\"toc-selective-expandable\" tag={{$:/config/plugins/menubar/TableOfContents/Tag}}/>\n\n</div>\n"},"$:/plugins/tiddlywiki/menubar/items/hamburger":{"title":"$:/plugins/tiddlywiki/menubar/items/hamburger","tags":"$:/tags/MenuBar","caption":"Hamburger","description":"Show the full menu bar on a narrow screen","custom-menu-content":"{{$:/plugins/tiddlywiki/menubar/items/hamburger}}","show-when":"narrow","text":"<$list filter=\"[[$:/state/popup/menubar/hamburger]get[text]else[no]match[no]]\">\n<$button set=\"$:/state/popup/menubar/hamburger\" setTo=\"yes\">\n{{$:/core/images/menu-button}}\n</$button>\n</$list>\n<$list filter=\"[[$:/state/popup/menubar/hamburger]get[text]else[no]match[yes]]\">\n<$button set=\"$:/state/popup/menubar/hamburger\" setTo=\"no\">\n{{$:/core/images/close-button}}\n</$button>\n</$list>\n"},"$:/plugins/tiddlywiki/menubar/items/pagecontrols":{"title":"$:/plugins/tiddlywiki/menubar/items/pagecontrols","tags":"$:/tags/MenuBar","description":"Page controls from the sidebar","caption":"Page controls","custom-menu-content":"<$transclude tiddler=\"$:/plugins/tiddlywiki/menubar/items/pagecontrols\" mode=\"inline\"/>","text":"\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n"},"$:/plugins/tiddlywiki/menubar/items/search":{"title":"$:/plugins/tiddlywiki/menubar/items/search","custom-menu-content":"{{$:/plugins/tiddlywiki/menubar/items/search}}","description":"Search","caption":"Search","tags":"$:/tags/MenuBar","text":"\\define cancel-search-actions()\n<$set name=\"userInput\" value={{{ [<__storeTitle__>get[text]] }}}>\n<$list filter=\"[<__tiddler__>get[text]!match<userInput>]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[<__storeTitle__>] [<__tiddler__>] [<__selectionStateTitle__>]\"/>\"\"\">\n<$action-setfield $tiddler=<<__tiddler__>> text=<<userInput>>/><$action-setfield $tiddler=<<__refreshTitle__>> text=\"yes\"/>\n</$list>\n</$set>\n\\end\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/sidebar\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/search/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\whitespace trim\n<$vars searchTiddler=\"$:/temp/menubarsearch/input\" searchListState=<<qualify \"$:/state/search-list/selected-item\">>>\n<span style=\"margin: 0 0.5em;\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<form class=\"tc-form-inline\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/menubarsearch\" storeTitle=<<searchTiddler>> selectionStateTitle=<<searchListState>> \n\t\trefreshTitle=\"$:/temp/menubarsearch/refresh\" tag=\"input\" type=\"search\" focusPopup=\"$:/state/popup/menubar-search-dropdown\" \n\t\tclass=\"tc-popup-handle tc-menu-show-when-wide\" placeholder=\"Search...\" default=\"\" cancelPopups=\"yes\" \n\t\tinputAcceptActions=<<input-accept-actions>> inputAcceptVariantActions=<<input-accept-variant-actions>> inputCancelActions=<<cancel-search-actions>> \n\t\tfilterMinLength={{$:/config/Search/MinLength}} configTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\" />\n</form>\n</$keyboard>\n</$keyboard>\n</span>\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/state/popup/menubar-search-dropdown\" type=\"nomatch\" text=\"\" default=\"\">\n\n<div  class=\"tc-block-dropdown tc-search-drop-down\">\n\n<$list filter=\"[<searchTiddler>get[text]minlength[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">Type your search terms</div>\"\"\" variable=\"ignore\">\n\n<$list filter=\"[<searchTiddler>get[text]minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$vars configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}} userInput={{{ [<searchTiddler>get[text]] }}}>\n\n{{$:/core/ui/SearchResults}}\n\n</$vars>\n\n</$list>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n</$vars>\n"},"$:/plugins/tiddlywiki/menubar/items/server":{"title":"$:/plugins/tiddlywiki/menubar/items/server","tags":"$:/tags/MenuBar","description":"Server options","caption":"Server","custom-menu-content":"<$transclude tiddler=\"$:/plugins/tiddlywiki/menubar/items/server\" mode=\"inline\"/>","text":"<$list filter=\"[[$:/status/IsLoggedIn]get[text]else[no]match[yes]]\" variable=\"ignore\">\n<$transclude tiddler=\"$:/core/ui/Buttons/save-wiki\" mode=\"inline\"/>\n</$list>\n<$list filter=\"[[$:/status/IsLoggedIn]get[text]else[no]match[no]]\" variable=\"ignore\">\n<$button message=\"tm-login\">\nLogin\n</$button>\n</$list>\n"},"$:/plugins/tiddlywiki/menubar/items/sidebar":{"title":"$:/plugins/tiddlywiki/menubar/items/sidebar","caption":"Sidebar","description":"Sidebar","is-dropdown":"yes","tags":"$:/tags/MenuBar","text":"<$scrollable fallthrough=\"none\" class=\"tc-popup-keep tc-menubar-dropdown-sidebar\">\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\" mode=\"inline\"/>\n\n</$scrollable>\n"},"$:/plugins/tiddlywiki/menubar/items/topleftbar":{"title":"$:/plugins/tiddlywiki/menubar/items/topleftbar","tags":"$:/tags/MenuBar","description":"Items from $:/tags/TopLeftBar","caption":"Legacy Top Left Bar","custom-menu-content":"<$transclude tiddler=\"$:/plugins/tiddlywiki/menubar/items/topleftbar\" mode=\"inline\"/>","text":"<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>"},"$:/plugins/tiddlywiki/menubar/items/toprightbar":{"title":"$:/plugins/tiddlywiki/menubar/items/toprightbar","tags":"$:/tags/MenuBar","description":"Items from $:/tags/TopRightBar","caption":"Legacy Top Right Bar","custom-menu-content":"<$transclude tiddler=\"$:/plugins/tiddlywiki/menubar/items/toprightbar\" mode=\"inline\"/>","custom-menu-styles-wide":"float: right;","text":"<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]reverse[]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>"},"$:/plugins/tiddlywiki/menubar/menu":{"title":"$:/plugins/tiddlywiki/menubar/menu","tags":"$:/tags/PageTemplate","text":"\\define menubar-inner(size)\n<ul class=\"tc-menubar-list\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MenuBar]!has[draft.of]] -[all[tiddlers+shadows]tag[$:/tags/TopLeftBar]limit[1]then[]else[$:/plugins/tiddlywiki/menubar/items/topleftbar]] -[all[tiddlers+shadows]tag[$:/tags/TopRightBar]limit[1]then[]else[$:/plugins/tiddlywiki/menubar/items/toprightbar]]\">\n<$list filter=\"[<currentTiddler>addprefix[$:/config/plugins/menubar/MenuItems/Visibility/]get[text]] ~show +[match[show]]\" variable=\"ignore\">\n<$list filter=\"[[$size$]match[wide]] ~[<currentTiddler>get[show-when]match[$size$]] ~[{$:/state/popup/menubar/hamburger}match[yes]]\" variable=\"ignore\">\n<li style={{!!custom-menu-styles-$size$}} class={{{ [<currentTiddler>get[show-when]addprefix[tc-menubar-]] tc-menubar-item +[join[ ]] }}}>\n<$list filter=\"[<currentTiddler>!is-dropdown[yes]]\" variable=\"listItem\" emptyMessage=\"\"\"\n\t<!-- Dropdown -->\n\t<$set name=\"dropdown-state\" value=<<qualify \"$:/state/popup/topmenu/dropdown/\">>>\n\t<$set name=\"dropdown-state\" value={{{ [<dropdown-state>addsuffix<currentTiddler>] }}}>\n\t<$button popup=<<dropdown-state>> selectedClass=\"tc-selected\">\n\t<$set name=\"tv-wikilinks\" value=\"no\">\n\t<$transclude field=\"caption\" mode=\"inline\"/>\n\t<$text text=\" \"/>\n\t<span class=\"tc-menubar-dropdown-arrow\">\n\t<$transclude tiddler=\"$:/core/images/down-arrow\" mode=\"inline\"/>\n\t</span>\n\t</$set>\n\t</$button>\n\t</$set>\n\t</$set>\n\"\"\">\n<$list filter=\"[<currentTiddler>has[custom-menu-content]]\" variable=\"listItem\" emptyMessage=\"\"\"\n\t<!-- Link -->\n\t<$link to={{!!target}}>\n\t<$set name=\"tv-wikilinks\" value=\"no\">\n\t<$transclude field=\"caption\" mode=\"inline\"/>\n\t</$set>\n\t</$link>\n\"\"\">\n<!-- Custom content -->\n<$transclude field=\"custom-menu-content\" mode=\"inline\"/>\n</$list>\n</$list>\n</li>\n</$list>\n</$list>\n</$list>\n</ul>\n\\end\n\n<$list filter=\"[<tv-config-static>!match[yes]]\" variable=\"ignore\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MenuBar]!has[draft.of]] -[all[tiddlers+shadows]tag[$:/tags/TopLeftBar]limit[1]then[]else[$:/plugins/tiddlywiki/menubar/items/topleftbar]] -[all[tiddlers+shadows]tag[$:/tags/TopRightBar]limit[1]then[]else[$:/plugins/tiddlywiki/menubar/items/toprightbar]] +[limit[1]]\" variable=\"listItem\">\n<nav class=\"tc-menubar tc-adjust-top-of-scroll\">\n<div class=\"tc-menubar-narrow\">\n<<menubar-inner narrow>>\n</div>\n<div class=\"tc-menubar-wide\">\n<<menubar-inner wide>>\n</div>\n<div style=\"clear:both;\"/>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MenuBar]!has[draft.of]is-dropdown[yes]]\">\n<$list filter=\"[<currentTiddler>addprefix[$:/config/plugins/menubar/MenuItems/Visibility/]get[text]] ~show +[match[show]]\" variable=\"ignore\">\n<$set name=\"dropdown-state\" value=<<qualify \"$:/state/popup/topmenu/dropdown/\">>>\n<$set name=\"dropdown-state\" value={{{ [<dropdown-state>addsuffix<currentTiddler>] }}}>\n<$reveal type=\"popup\" state=<<dropdown-state>> position={{{ [<currentTiddler>get[dropdown-position]else[below]] }}} class={{{ [<currentTiddler>get[class]] }}} tag=\"div\">\n<div class=\"tc-drop-down\">\n<$transclude/>\n</div>\n</$reveal>\n</$set>\n</$set>\n</$list>\n</$list>\n</nav>\n</$list>\n</$list>\n"},"$:/core/ui/PageTemplate/topleftbar":{"title":"$:/core/ui/PageTemplate/topleftbar","text":"<!-- The menubar plugin overrides this tiddler to remove the core top left menu. The menu items that it would include are instead included in the menubar -->"},"$:/core/ui/PageTemplate/toprightbar":{"title":"$:/core/ui/PageTemplate/toprightbar","text":"<!-- The menubar plugin overrides this tiddler to remove the core top right menu. The menu items that it would include are instead included in the menubar -->"},"$:/plugins/tiddlywiki/menubar/readme":{"title":"$:/plugins/tiddlywiki/menubar/readme","text":"!! Introduction\n\nThis plugin provides a menu bar with the following features:\n\n* Menu items take the form of simple text links, dropdowns, or entirely custom content\n* Menu items can be individually enabled via the control panel\n* Responds to reduced screen width by abbreviating the menu items to a \"hamburger\" dropdown\n\n!! Menu Item Tiddlers\n\nMenu items are tagged <<tag $:/tags/MenuBar>>. The following fields are used by this plugin:\n\n|!Field Name |!Purpose |\n|title |Each menu item must have a unique title (not shown to the user) |\n|description |Description for use in listings |\n|tags |Must contain `$:/tags/MenuBar` |\n|caption |The text that is displayed for the menu item. Avoid links, using `~` to suppress CamelCase links if required |\n|target |For simple link menu items specifies a tiddler title as the target of the link |\n|is-dropdown |Set to `yes` to indicate a dropdown menu item |\n|dropdown-position |Optional position for the dropdown (can be ''left'', ''above'', ''aboveleft'', ''aboveright'', ''right'', ''belowleft'', ''belowright'' or ''below'') |\n|text |For dropdown menu items, specifies the body of the dropdown |\n|custom-menu-content |Optional wikitext to be displayed in place of the caption |\n|custom-menu-styles-wide |Optional string of styles to be applied to menu item when the menubar is wide |\n|custom-menu-styles-narrow |Optional string of styles to be applied to menu item when the menubar is narrow |\n\nCustom menu items should make sure that the clickable link or button is an immediate child, and not wrapped in another element.\n\nNote that menu items can be pushed to the right of the menu bar setting the ''custom-menu-styles'' field to `float: right;`.\n"},"$:/plugins/tiddlywiki/menubar/styles":{"title":"$:/plugins/tiddlywiki/menubar/styles","tags":"[[$:/tags/Stylesheet]]","text":"\\define breakpoint-plus-one()\n<$text text={{{ [{$:/config/plugins/menubar/breakpoint}removesuffix[px]add[1]addsuffix[px]] ~[{$:/config/plugins/menubar/breakpoint}] }}} />\n\\end\n\n\\define sidebarbreakpoint-minus-one()\n<$text text={{{ [{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}removesuffix[px]subtract[1]addsuffix[px]] ~[{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}] }}} />\n\\end\n\n\\define set-sidebar-scrollable-top-if-hamburger()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/MenuBar]] -[all[tiddlers+shadows]prefix[$:/config/plugins/menubar/MenuItems/Visibility/]regexp:text[hide]removeprefix[$:/config/plugins/menubar/MenuItems/Visibility/]] -[all[tiddlers+shadows]tag[$:/tags/TopLeftBar]limit[1]then[]else[$:/plugins/tiddlywiki/menubar/items/topleftbar]] -[all[tiddlers+shadows]tag[$:/tags/TopRightBar]limit[1]then[$:/plugins/tiddlywiki/menubar/items/toprightbar]] -$:/plugins/tiddlywiki/menubar/items/hamburger +[limit[1]]\">\n\n\t.tc-sidebar-scrollable {\n\t\tmargin-top: 2em;\n\t}\n\n</$list>\n\\end\n\n\\define set-sidebar-scrollable-top()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/MenuBar]] -[all[tiddlers+shadows]prefix[$:/config/plugins/menubar/MenuItems/Visibility/]regexp:text[hide]removeprefix[$:/config/plugins/menubar/MenuItems/Visibility/]] -[all[tiddlers+shadows]tag[$:/tags/TopLeftBar]limit[1]then[]else[$:/plugins/tiddlywiki/menubar/items/topleftbar]] -[all[tiddlers+shadows]tag[$:/tags/TopRightBar]limit[1]then[$:/plugins/tiddlywiki/menubar/items/toprightbar]] +[limit[1]]\">\n\n\t.tc-sidebar-scrollable {\n\t\tmargin-top: 2em;\n\t}\n\n</$list>\n<$reveal state=\"$:/state/popup/menubar/hamburger\" type=\"match\" text=\"yes\">\n\n\t<$set name=\"itemCount\" value={{{ [all[tiddlers+shadows]tag[$:/tags/MenuBar]] -[all[tiddlers+shadows]prefix[$:/config/plugins/menubar/MenuItems/Visibility/]regexp:text[hide]removeprefix[$:/config/plugins/menubar/MenuItems/Visibility/]] -[all[tiddlers+shadows]tag[$:/tags/TopLeftBar]limit[1]then[]else[$:/plugins/tiddlywiki/menubar/items/topleftbar]] -[all[tiddlers+shadows]tag[$:/tags/TopRightBar]limit[1]then[]else[$:/plugins/tiddlywiki/menubar/items/toprightbar]] +[count[]] }}}>\n\n\t\t.tc-sidebar-scrollable {\n\t\t\tmargin-top: calc(<<itemCount>> * 2em);\n\t\t}\n\n\t</$set>\n\n</$reveal>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\nnav.tc-menubar {\n\tposition: fixed;\n\tz-index: 850;\n\tdisplay: inline-block;\n\ttop: 0;\n\tright: 0;\n\tleft: 0;\n}\n\nnav.tc-menubar ul.tc-menubar-list {\n\tposition: relative;\n\tlist-style-type: none;\n\tmargin: 0;\n\tpadding: 0 0 0 42px;\n\tbackground: <<colour background>>;\n\tbackground: <<colour menubar-background>>;\n\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\thtml nav.tc-menubar ul.tc-menubar-list {\n\t\tpadding: 0 0 0 8px;\n\t}\n\n}\n\nnav.tc-menubar li.tc-menubar-item {\n\tdisplay: inline-block;\n\tmargin: 0;\n\tpadding: 0;\n}\n\nnav.tc-menubar .tc-menubar-narrow li.tc-menubar-item {\n\tdisplay: block;\n}\n\nnav.tc-menubar li.tc-menubar-item > a,\nnav.tc-menubar li.tc-menubar-item > button {\n\tdisplay: inline-block;\n/*\ttext-transform: uppercase; */\n\tline-height: 1;\n\tfont-weight: 700;\n\tcolor: <<colour foreground>>;\n\tcolor: <<colour menubar-foreground>>;\n\tfill: <<colour foreground>>;\n\tfill: <<colour menubar-foreground>>;\n\ttext-decoration: none;\n\tpadding: 0.5em;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\tcursor: pointer;\n\tborder-radius: 0;\n\ttext-decoration: none;\n}\n\nnav.tc-menubar li.tc-menubar-item > a.tc-selected,\nnav.tc-menubar li.tc-menubar-item > button.tc-selected {\n\tbackground: <<colour foreground>>;\n\tbackground: <<colour menubar-foreground>>;\n\tcolor: <<colour background>>;\n\tcolor: <<colour menubar-background>>;\n\tfill: <<colour background>>;\n\tfill: <<colour menubar-background>>;\n}\n\nnav.tc-menubar li.tc-menubar-item svg {\n\ttransition: none;\n\twidth: 1em;\n\theight: 1em;\n\tfill: <<colour foreground>>;\n\tfill: <<colour menubar-foreground>>;\n}\n\nnav.tc-menubar li.tc-menubar-item .tc-menubar-dropdown-arrow svg {\n\twidth: 0.5em;\n\theight: 0.5em;\n}\n\nnav.tc-menubar li.tc-menubar-item > a.tc-selected svg,\nnav.tc-menubar li.tc-menubar-item > button.tc-selected svg {\n\tfill: <<colour background>>;\n\tfill: <<colour menubar-background>>;\n}\n\nnav.tc-menubar li.tc-menubar-item > a:hover,\nnav.tc-menubar li.tc-menubar-item > button:hover svg,\nnav.tc-menubar li.tc-menubar-item > button:hover {\n\tbackground: <<colour foreground>>;\n\tbackground: <<colour menubar-foreground>>;\n\tcolor: <<colour background>>;\n\tcolor: <<colour menubar-background>>;\n\tfill: <<colour background>>;\n\tfill: <<colour menubar-background>>;\n\tborder-radius: 0;\n\ttext-decoration: none;\n}\n\nnav.tc-menubar li.tc-menubar-item > a:active,\nnav.tc-menubar li.tc-menubar-item > button:active svg,\nnav.tc-menubar li.tc-menubar-item > button:active {\n\tbackground: <<colour foreground>>;\n\tbackground: <<colour menubar-foreground>>;\n\tcolor: <<colour background>>;\n\tcolor: <<colour menubar-background>>;\n\tfill: <<colour background>>;\n\tfill: <<colour menubar-background>>;\n\tborder-radius: 0;\n\ttext-decoration: none;\n}\n\nnav.tc-menubar .tc-drop-down,\nnav.tc-menubar .tc-block-dropdown {\n\tmax-width: 70vw;\n\tmax-height: 70vh;\n\toverflow: auto;\n}\n\nnav.tc-menubar .tc-drop-down a {\n\ttext-decoration: none;\n}\n\nnav.tc-menubar .tc-drop-down .tc-table-of-contents button {\n\tdisplay: inline-block;\n\twidth: auto;\n}\n\nnav.tc-menubar .tc-drop-down ol {\n\tmargin: 0;\n}\n\nnav.tc-menubar .tc-drop-down .tc-menubar-dropdown-sidebar a,\nnav.tc-menubar .tc-drop-down .tc-menubar-dropdown-sidebar button {\n\tdisplay: inline;\n\twidth: auto;\n}\n\nnav.tc-menubar .tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (max-width: {{$:/config/plugins/menubar/breakpoint}}) {\n\n\t.tc-menubar-wide {\n\t\tdisplay: none;\n\t}\n\n}\n\n@media (min-width: <<breakpoint-plus-one>>) {\n\n\tnav.tc-menubar li.tc-menubar-item.tc-menubar-narrow,\n\t.tc-menubar-narrow {\n\t\tdisplay: none;\n\t}\n\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t<<set-sidebar-scrollable-top-if-hamburger>>\n\n}\n\n@media (max-width: {{$:/config/plugins/menubar/breakpoint}}) {\n\n\t<<set-sidebar-scrollable-top>>\n\n}\n@media print {\n\n\tnav.tc-menubar {\n\t\tdisplay: none;\n\t}\n\n}\n"},"$:/tags/MenuBar":{"title":"$:/tags/MenuBar","list":"$:/plugins/tiddlywiki/menubar/items/hamburger $:/plugins/tiddlywiki/menubar/items/topleftbar $:/plugins/tiddlywiki/menubar/items/contents $:/plugins/tiddlywiki/menubar/items/search $:/plugins/tiddlywiki/menubar/items/pagecontrols $:/plugins/tiddlywiki/menubar/items/server $:/plugins/tiddlywiki/menubar/items/toprightbar"}}}

<a href="https://de.wikipedia.org/wiki/Deep_Sky" style="text-decoration: none; color: #EBCB8B;">Deep Sky Beobachtungen</a>

<a href="http://www.estelar.de" style="text-decoration: none; Color: #EBCB8B";><b>Estelar.de</b></a>

\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]
\rules only filteredtranscludeinline transcludeinline macrocallinline
<div class="tc-remove-when-wiki-loaded">
<style scoped>

.tc-splash-text {
    font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";
    font-size: 16px;
    text-rendering: optimizeLegibility;
    -webkit-font-smoothing: antialiased;
	margin: 20px auto 0;
	width: 200px;
	text-align: center;
	color: <<colour foreground>>;
	fill: <<colour foreground>>;
}

html body.tc-body {
	background: black;
}

/*html body.tc-body {
	background: <<colour page-background>>;
}*/


/*
Spinner from https://github.com/tobiasahlin/SpinKit/ by Tobias Ahlin

The MIT License (MIT)

Copyright (c) 2015 Tobias Ahlin

Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/

.tc-splash-spinner {
	margin: 20px auto 0;
	width: 70px;
	text-align: center;
}

.tc-splash-spinner > div {
	width: 18px;
	height: 18px;
	border-radius: 100%;
	display: inline-block;
	-webkit-animation: sk-bouncedelay 1.4s infinite ease-in-out both;
	animation: sk-bouncedelay 1.4s infinite ease-in-out both;
	background-color: #f88;
}

.tc-splash-spinner .tc-splash-bounce-1 {
	-webkit-animation-delay: -0.32s;
	animation-delay: -0.32s;
	background-color: #8f8;
}

.tc-splash-spinner .tc-splash-bounce-2 {
	-webkit-animation-delay: -0.16s;
	animation-delay: -0.16s;
	background-color: #88f;
}

@-webkit-keyframes sk-bouncedelay {
	0%, 80%, 100% { -webkit-transform: scale(0) }
	40% { -webkit-transform: scale(1.0) }
}

@keyframes sk-bouncedelay {
	0%, 80%, 100% { 
	-webkit-transform: scale(0);
	transform: scale(0);
	} 40% { 
	-webkit-transform: scale(1.0);
	transform: scale(1.0);
	}
}
</style>

<div class="tc-splash-text">
Please wait while {{$:/SiteTitle}} is loading
</div>

<div class="tc-splash-spinner">
  <div class="tc-splash-bounce-1"></div>
  <div class="tc-splash-bounce-2"></div>
  <div class="tc-splash-bounce-3"></div>
</div>

<!-- Demonstrating how to embed a wikitext SVG graphic --> 
<div class="tc-splash-text">
{{$:/core/images/home-button||$:/core/templates/plain-text-tiddler}}
</div>

<!-- Demonstrating how to embed a bitmap graphic --> 
<div class="tc-splash-text">
<img src="data:image/jpeg;base64,{{$:/favicon.ico||$:/core/templates/plain-text-tiddler}}" width="100%"/>
</div>

</div>

no

no

show

show

show

show

hide

0

show

no

readme

no

no

no

readme

no

usage

no

no

$:/core/ui/ControlPanel/Theme

$:/core/ui/ControlPanel/Basics

$:/core/ui/ControlPanel/Plugins/Add/Plugins

$:/core/ui/ControlPanel/Plugins/Installed/Plugins

$:/core/ui/ControlPanel/Appearance

$:/core/ui/SideBar/Recent

close

no

{
    "tiddlers": {
        "$:/info/browser": {
            "title": "$:/info/browser",
            "text": "yes"
        },
        "$:/info/node": {
            "title": "$:/info/node",
            "text": "no"
        },
        "$:/info/startup-timestamp": {
            "title": "$:/info/startup-timestamp",
            "text": "20240413161142628"
        },
        "$:/info/url/full": {
            "title": "$:/info/url/full",
            "text": "file:///private/var/mobile/Library/Mobile%20Documents/iCloud~com~cjhunt~quine/Documents/Empty%20104.html"
        },
        "$:/info/url/host": {
            "title": "$:/info/url/host",
            "text": ""
        },
        "$:/info/url/hostname": {
            "title": "$:/info/url/hostname",
            "text": ""
        },
        "$:/info/url/protocol": {
            "title": "$:/info/url/protocol",
            "text": "file:"
        },
        "$:/info/url/port": {
            "title": "$:/info/url/port",
            "text": ""
        },
        "$:/info/url/pathname": {
            "title": "$:/info/url/pathname",
            "text": "/private/var/mobile/Library/Mobile%20Documents/iCloud~com~cjhunt~quine/Documents/Empty%20104.html"
        },
        "$:/info/url/search": {
            "title": "$:/info/url/search",
            "text": ""
        },
        "$:/info/url/origin": {
            "title": "$:/info/url/origin",
            "text": "file://"
        },
        "$:/info/browser/screen/width": {
            "title": "$:/info/browser/screen/width",
            "text": "1024"
        },
        "$:/info/browser/screen/height": {
            "title": "$:/info/browser/screen/height",
            "text": "1366"
        },
        "$:/info/darkmode": {
            "title": "$:/info/darkmode",
            "text": "yes"
        },
        "$:/info/browser/language": {
            "title": "$:/info/browser/language",
            "text": "de-DE"
        }
    }
}

yes

yes

$:/themes/tiddlywiki/readonly

{"tiddlers":{"$:/themes/tiddlywiki/centralised/styles.tid":{"title":"$:/themes/tiddlywiki/centralised/styles.tid","tags":"[[$:/tags/Stylesheet]]","text":"\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\thtml .tc-page-container {\n\t\ttext-align: center;\n\t}\n\n\thtml .tc-story-river {\n\t\tposition: relative;\n\t\twidth: 770px;\n\t\tpadding: 42px;\n\t\tmargin: 0 auto;\n\t\ttext-align: left;\n\t}\n\n\thtml .tc-sidebar-scrollable {\n\t\ttext-align: left;\n\t\tleft: 50%;\n\t\tright: 0;\n\t\tmargin-left: 343px;\n\t}\n}\n"}}}

{"tiddlers":{"$:/themes/tiddlywiki/readonly/styles.tid":{"title":"$:/themes/tiddlywiki/readonly/styles.tid","tags":"[[$:/tags/Stylesheet]]","text":"\\define button-selector(title)\nbutton.$title$, .tc-drop-down button.$title$, div.$title$\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fclone>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fdelete>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fedit>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fnew-here>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fnew-journal-here>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fimport>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fmanager>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fnew-image>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fnew-journal>>,\n<<button-selector tc-btn-\\%24\\%3A\\%2Fcore\\%2Fui\\%2FButtons\\%2Fnew-tiddler>> {\n\tdisplay: none;\n}"}}}

{"tiddlers":{"$:/themes/tiddlywiki/seamless/base":{"title":"$:/themes/tiddlywiki/seamless/base","tags":"[[$:/tags/Stylesheet]]","list-after":"$:/themes/tiddlywiki/vanilla/base","text":"\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n/*\nRules copied from Snow White\n*/\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected svg {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal-displayed {\n\t<<filter \"blur(4px)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n/*\nSeamless modifications\n*/\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t/* Drop the tiddler frame padding */\n\tbody.tc-body .tc-tiddler-frame {\n\t\tpadding: 0;\n\t}\n\n\t/* Move the sidebar up so that the title lines up */\n\tbody.tc-body .tc-sidebar-scrollable {\n\t\tpadding: 43px 0 28px 42px;\n\t}\n\n\t/* Stop the tiddler info panel from bleeding into the tiddler frame padding */\n\tbody.tc-body .tc-tiddler-info {\n\t\tmargin: 0;\n\t}\n\n\t/* Stop message boxes from bleeding into the tiddler frame padding */\n\tbody.tc-body .tc-message-box {\n\t\tmargin: 21px 0 21px 0;\n\t}\n\n}\n\n/* Use the tiddler background colour for the page background */\nhtml body.tc-body {\n\tbackground-color: <<colour background>>;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour background>>;\n}\n\n/* Adjust the colour of the page controls */\nbody.tc-body .tc-page-controls svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n/* Adjust the colour of the sidebar selected tabs */\nbody.tc-body .tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour background>>;\n}\n"}}}

{"tiddlers":{"$:/themes/tiddlywiki/snowwhite/base":{"title":"$:/themes/tiddlywiki/snowwhite/base","tags":"[[$:/tags/Stylesheet]]","text":"\\define sidebarbreakpoint-minus-one()\n<$text text={{{ [{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}removesuffix[px]subtract[1]addsuffix[px]] ~[{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}] }}}/>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame select.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ntextarea.tc-edit-texteditor {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\ncanvas.tc-edit-bitmapeditor  {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"}}}

{"tiddlers":{"$:/themes/tiddlywiki/vanilla/themetweaks":{"title":"$:/themes/tiddlywiki/vanilla/themetweaks","tags":"$:/tags/ControlPanel/Appearance","caption":"{{$:/language/ThemeTweaks/ThemeTweaks}}","text":"\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$set name=\"state\" value=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">>>\n<$button popup=<<state>> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<state>> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\" class=\"tc-popup-keep\">\n<div class=\"tc-drop-down\" style=\"text-align:center;\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n<$action-deletetiddler $tiddler=<<state>>/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</$set>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\n<<lingo ThemeTweaks/Hint>>\n\n! <<lingo Options>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><<lingo Options/SidebarLayout>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//<<lingo Options/StickyTitles/Hint>>// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n! <<lingo Settings>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n! <<lingo Metrics>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"><<lingo Metrics/StoryLeft>></$link><br>//<<lingo Metrics/StoryLeft/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\"><<lingo Metrics/StoryTop>></$link><br>//<<lingo Metrics/StoryTop/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"><<lingo Metrics/StoryRight>></$link><br>//<<lingo Metrics/StoryRight/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\"><<lingo Metrics/StoryWidth>></$link><br>//<<lingo Metrics/StoryWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"><<lingo Metrics/TiddlerWidth>></$link><br>//<<lingo Metrics/TiddlerWidth/Hint>>//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"},"$:/themes/tiddlywiki/vanilla/base":{"title":"$:/themes/tiddlywiki/vanilla/base","tags":"[[$:/tags/Stylesheet]]","list-before":"","code-body":"yes","text":"\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n`\"`<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>`\"`\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n`\"`<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>`\"`\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define sidebarbreakpoint()\n<$text text={{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}/>\n\\end\n\n\\define sidebarbreakpoint-minus-one()\n<$text text={{{ [{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}removesuffix[px]subtract[1]addsuffix[px]] ~[{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}] }}}/>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\define if-editor-height-fixed(then,else)\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n$then$\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n$else$\n</$reveal>\n\\end\n\n\\define set-type-selector-min-width()\n<$set name=\"typeLength\" value={{{ [all[shadows+tiddlers]prefix[$:/language/Docs/Types/]get[name]length[]maxall[]] }}}>\n\n\t.tc-type-selector-dropdown-wrapper {\n\t\tmin-width: calc(<<typeLength>>ch + 4em);\n\t}\n\n\t.tc-type-selector-dropdown-wrapper input.tc-edit-typeeditor {\n\t\tmin-width: <<typeLength>>ch;\n\t}\n\n</$set>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\n/*\n** Button default styles. Makes them look consistent for all browsers\n*/\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tfill: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\nbutton:disabled svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml, body {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n}\n\n<<if-background-attachment \"\"\"\n\nbody.tc-body {\n\tbackground-color: transparent;\n}\n\n\"\"\">>\n\n/**\n * Correct the font size and margin on `h1` elements within `section` and\n * `article` contexts in Chrome, Firefox, and Safari.\n */\n\nh1 {\n\tfont-size: 2em;\n}\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: normal;\n}\n\npre {\n\tdisplay: block;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n\tquotes: \"\\201C\"\"\\201D\"\"\\2018\"\"\\2019\";\n}\n\nblockquote > div {\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\nblockquote.tc-big-quote {\n\tfont-family: Georgia, serif;\n\tposition: relative;\n\tbackground: <<colour pre-background>>;\n\tborder-left: none;\n\tmargin-left: 50px;\n\tmargin-right: 50px;\n\tpadding: 10px;\n\tborder-radius: 8px;\n}\n\nblockquote.tc-big-quote cite:before {\n\tcontent: \"\\2014 \\2009\";\n}\n\nblockquote.tc-big-quote:before {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: open-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n\tleft: -50px;\n\ttop: 42px;\n}\n\nblockquote.tc-big-quote:after {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: close-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n\tright: -80px;\n\tbottom: -20px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\ninput[type=\"checkbox\"] {\n\tvertical-align: middle;\n}\n\ninput[type=\"search\"]::-webkit-search-decoration,\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-results-button,\ninput[type=\"search\"]::-webkit-search-results-decoration {\n\t-webkit-appearance:none;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\n.tc-icon-wrapper > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n::selection {\n\tbackground-color: Highlight;\n\tcolor: HighlightText;\n\tbackground-color: <<colour selection-background>>;\n\tcolor: <<colour selection-foreground>>;\n}\n\n.tc-inline-style {\n\tbackground: <<colour highlight-background>>;\n\tcolor: <<colour highlight-foreground>>;\n}\n\nform.tc-form-inline {\n\tdisplay: inline;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\n/*\nTable defaults\n*/\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\t/* next 2 elements needed, since normalize 8.0.1 */\n\tborder-collapse: collapse;\n\tborder-spacing: 0;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n/*\nTable utility classes\n*/\n\n/* Remove borders from table as used in eg: GettingStarted*/\n.tc-table-no-border,\n.tc-table-no-border th,\n.tc-table-no-border td {\n\tborder: initial;\n}\n\n/* First column in table width will fit to text.*/\n/* This rule makes most sense with tc-first-link-nowrap*/\n.tc-first-col-min-width td:nth-child(1) {\n\twidth: 1%;\n}\n\n/*\n** Utility classes work well with tables but also for other containers\n*/\n\n/* First link A element will not wrap */\n.tc-first-link-nowrap:first-of-type a {\n\twhite-space: nowrap;\n}\n\n/* Move the table to the center of the container */\n.tc-center {\n\tmargin-left: auto;\n\tmargin-right: auto;\n}\n\n.tc-max-width {\n\twidth: 100%;\n}\n\n.tc-max-width-80 {\n\tmax-width: 80%;\n}\n\n/* Allow input and textarea to look like the ControlPanel inputs */\n.tc-edit-max-width input,\n.tc-edit-max-width textarea {\n\twidth: 100%;\n\tpadding: 3px;\n}\n\n/*\nCSV parser plugin\n*/\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-csv-table th,\n.tc-csv-table td {\n\twhite-space: pre-line;\n}\n\n/*\nTiddler frame in story river\n*/\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n:root {\n\tcolor-scheme: {{{ [{$:/palette}get[color-scheme]] ~light }}};\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: 500;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n\t-webkit-touch-callout: none; /* Prevents long presses from bringing up a link preview */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n.tc-drop-down a.tc-tiddlylink:hover {\n\tcolor: <<colour tiddler-link-background>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\ttop: -1000px;\n\tleft: -1000px;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-page-container > .tc-dropzone {\n\tmin-height: 100vh;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n.tc-droppable > .tc-droppable-placeholder {\n\tdisplay: none;\n}\n\n.tc-droppable.tc-dragover > .tc-droppable-placeholder {\n\tdisplay: block;\n\tborder: 2px dashed <<colour dropzone-background>>;\n}\n\n.tc-draggable {\n\tcursor: move;\n}\n\n.tc-sidebar-tab-open .tc-droppable-placeholder, .tc-tagged-draggable-list .tc-droppable-placeholder,\n.tc-links-draggable-list .tc-droppable-placeholder {\n\tline-height: 2em;\n\theight: 2em;\n}\n\n.tc-sidebar-tab-open-item {\n\tposition: relative;\n}\n\n.tc-sidebar-tab-open .tc-btn-invisible.tc-btn-mini svg {\n\tfont-size: 0.7em;\n\tfill: <<colour muted-foreground>>;\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img, label svg, label img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\tcursor: pointer;\n\tcolor: <<colour foreground>>;\n\tfill: <<colour foreground>>;\n}\n\nbutton:disabled.tc-btn-invisible  {\n\tcursor: default;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n\n.tc-btn-text {\n\tmargin-left: 7px;\n}\n\n/* used for documentation \"fake\" buttons */\n.tc-btn-standard {\n\tline-height: 1.8;\n\tcolor: #667;\n\tbackground-color: #e0e0e0;\n\tborder: 1px solid #888;\n\tpadding: 2px 1px 2px 1px;\n\tmargin: 1px 4px 1px 4px;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tborder-radius: 2px;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-primary-btn {\n\tbackground: <<colour primary>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\n.tc-sidebar-lists button small {\n\tcolor: <<colour foreground>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n\twidth: calc(100% + 2px);\n\tmargin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n\ttop: 6px;\n\tbottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t\twidth: calc(100% + 59px);\n\t}\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t\tfont-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-tags-wrapper .tc-tag-list-item {\n\tmargin-right: 7px;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\n.tc-block-tags-dropdown > .tc-btn-invisible:hover {\n\tbackground-color: <<colour primary>>;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: normal;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: break-spaces;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-sidebar-scrollable .tc-tag-label {\n\ttext-shadow: none;\n}\n\n.tc-untagged-separator {\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tmargin-right: 3px;\n\tmargin-bottom: 1px;\n\tvertical-align: bottom;\n}\n\n.tc-edit-tags button.tc-remove-tag-button svg {\n\tfont-size: 0.7em;\n\tvertical-align: middle;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\nbutton.tc-btn-invisible.tc-remove-tag-button {\n\toutline: none;\n}\n\n.tc-tag-button-selected,\n.tc-list-item-selected a.tc-tiddlylink, a.tc-list-item-selected {\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour tiddler-background>>;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-topbar-right {\n\t\tright: 10px;\n\t}\n\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-show-sidebar-btn svg.tc-image-chevron-left, .tc-hide-sidebar-btn svg.tc-image-chevron-right {\n\t\ttransform: rotate(-90deg);\n\t}\n\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls .tc-drop-down {\n\tfont-size: 1rem;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-sidebar-lists .tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\ttransition:  min-height {{$:/config/AnimationDuration}}ms ease-in-out, padding-top {{$:/config/AnimationDuration}}ms ease-in-out, padding-bottom {{$:/config/AnimationDuration}}ms ease-in-out;\n\t}\n\t\n\t<<if-no-sidebar \"\"\"\n\n\t\t.tc-sidebar-header {\n\t\t\tmin-height: 0;\n\t\t\tpadding-top: 0;\n\t\t\tpadding-bottom: 0;\n\t\t}\n\n\t\"\"\">>\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\thtml[dir=\"rtl\"] .tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tright: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}});\n\t}\n\n\">>\n\n\t.tc-story-river.tc-static-story-river {\n\t\tmargin-right: 0;\n\t\tpadding-right: 42px;\n\t}\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 0;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\toverflow: hidden;\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-tiddler-info {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\twhite-space: nowrap;\n\tvertical-align: top;\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: normal;\n}\n\n.tc-view-field-value {\n\tword-break: break-all;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t\tmargin-bottom: .5em;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: normal;\n\tfont-size: 2.35em;\n\tline-height: 1.35em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n\tmargin-right: .1em;\n}\n\n.tc-tiddler-title-icon svg {\n\twidth: 0.9em;\n\theight: 0.9em;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: normal;\n}\n\n.tc-subtitle .tc-tiddlylink {\n\tmargin-right: .3em;\n}\n\n.tc-tiddler-missing .tc-title {\n\tfont-style: italic;\n\tfont-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n\tpadding: 3px; /* make space for outline */\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button,\n.tc-tiddler-controls > span > span > button,\n.tc-tiddler-controls > span > span > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n}\n\n.tc-search button svg, .tc-search a svg {\n\theight: 1.2em;\n\twidth: 1.2em;\n\tmargin: 0 0.25em;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg  {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame .tc-edit-texteditor {\n\twidth: 100%;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor,\n.tc-tiddler-frame select.tc-edit-texteditor {\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tline-height: 1.3em;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\t-webkit-appearance: none;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame select.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor {\n\tbackground-color: <<colour tiddler-editor-background>>;\n}\n\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tbackground-color: <<colour tiddler-background>>;\n}\n\n.tc-tiddler-frame .tc-edit-fields input.tc-edit-fieldeditor,\n.tc-tiddler-frame .tc-edit-fields select.tc-edit-fieldeditor,\n.tc-tiddler-frame .tc-edit-fields textarea.tc-edit-fieldeditor {\n\tmargin: 0;\n\tpadding: 2px 3px;\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\ncanvas.tc-edit-bitmapeditor  {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Editor\n*/\n\n.tc-editor-toolbar {\n\tmargin-top: 8px;\n}\n\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview .tc-editor-toolbar,\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview-hidden .tc-editor-toolbar {\n\tgrid-area: toolbar;\n}\n\n.tc-editor-toolbar button {\n\tvertical-align: middle;\n\tbackground-color: <<colour tiddler-controls-foreground>>;\n\tcolor: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n\tborder-radius: 4px;\n\tpadding: 3px;\n\tmargin: 2px 0 2px 4px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-adjunct {\n\tmargin-left: 1px;\n\twidth: 1em;\n\tborder-radius: 8px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-start-group {\n\tmargin-left: 11px;\n}\n\n.tc-editor-toolbar button.tc-selected {\n\tbackground-color: <<colour primary>>;\n}\n\n.tc-editor-toolbar button svg {\n\twidth: 1.6em;\n\theight: 1.2em;\n}\n\n.tc-editor-toolbar .tc-drop-down button.tc-btn-mini {\n\tpadding: 2px 4px;\n}\n\n.tc-editor-toolbar button:hover {\n\tbackground-color: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour background>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more {\n\twhite-space: normal;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more button {\n\tdisplay: inline-block;\n\tpadding: 3px;\n\twidth: auto;\n}\n\n.tc-editor-toolbar .tc-search-results {\n\tpadding: 0;\n}\n\n.tc-editor-toolbar button.tc-editortoolbar-stamp-button + .tc-popup .tc-drop-down > p {\n\tmargin: 0;\n\tpadding: 0;\n}\n\n.tc-editor-toolbar button.tc-editortoolbar-stamp-button + .tc-popup .tc-drop-down a.tc-tiddlylink {\n\tfont-weight: normal;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-page-container.tc-page-view-zoomin .tc-tiddler-frame {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-page-container.tc-page-view-zoomin .tc-tiddler-frame {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n\tfill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n\tfill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n\tfill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n\tfill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n\tfill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n\tfill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n\tfill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n\tfill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n\tfill: <<colour toolbar-done-button>>;\n}\n\n.tc-page-controls svg.tc-image-layout-button {\n\tfill: <<colour toolbar-options-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-type-selector .tc-edit-typeeditor {\n\twidth: auto;\n}\n\n.tc-type-selector-dropdown-wrapper {\n\tdisplay: inline-block;\n}\n\n<<set-type-selector-min-width>>\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-add-tag .tc-keyboard {\n\tdisplay:inline;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-editor {\n\tdisplay: grid;\n}\n\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview {\n\tgrid-template-areas:\n\t\t\"toolbar toolbar\"\n\t\t\"editor preview\";\n\tgrid-template-columns: 1fr 1fr;\n\tgrid-template-rows: auto 1fr;\n}\n\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview-hidden {\n\tgrid-template-areas:\n\t\t\"toolbar\"\n\t\t\"editor\";\n\tgrid-template-columns: 1fr;\n\tgrid-template-rows: auto 1fr;\n}\n\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview .tc-tiddler-preview-preview {\n\tgrid-area: preview;\n\toverflow-wrap: anywhere;\n\tword-break: normal;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 0 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n<<if-editor-height-fixed then:\"\"\"\n\n.tc-tiddler-preview-preview {\n\toverflow-y: scroll;\n\theight: {{$:/config/TextEditor/EditorHeight/Height}};\n}\n\n\"\"\">>\n\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview .tc-edit-texteditor,\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview-hidden .tc-edit-texteditor {\n\tgrid-area: editor;\n}\n\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview canvas.tc-edit-bitmapeditor,\n.tc-tiddler-frame .tc-tiddler-editor.tc-tiddler-preview-hidden canvas.tc-edit-bitmapeditor {\n\tgrid-area: editor;\n\tmax-width: 100%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n.tc-edit-fields.tc-edit-fields-small {\n\tmargin-top: 0;\n\tmargin-bottom: 0;\n}\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name-wrapper input.tc-edit-texteditor {\n\twidth: auto;\n}\n\n.tc-edit-field-add-name-wrapper {\n\tdisplay: inline-block;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-edit-field-add-value {\n\t\twidth: 35%;\n\t}\n\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n\n/*\n** Tiddler editor dropzone\n*/\n\n.tc-dropzone-editor {\n\tposition:relative;\n}\n\n.tc-dropzone-editor.tc-dragover .tc-editor-toolbar::after{\n\tz-index: 10000;\n\ttop:0;\n\tleft:0;\n\tright:0;\n\theight: 100%;\n\tbackground: <<colour dropzone-background>>;\n\tcontent: \"<<lingo DropMessage>>\";\n\tpointer-events: none;\n\tposition: absolute;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n\tbackground-color: <<color background>>;\n\tborder: 4px dashed <<color modal-border>>;\n\tfont-weight: bold;\n\tfont-size: 150%;\n\topacity: 0.8;\n\tcolor: <<color foreground>>;\n}\n\n.tc-editor-importpopup {\n\twidth: 100%;\n\theight: 100%;\n}\n\n.tc-editor-import {\n\tposition: absolute;\n\ttop: 50%;\n\tleft: 50%;\n\ttransform: translate(-50%, -50%);\n\tbackground: <<color pre-background>>;\n\tbox-shadow: 2px 2px 10px <<colour foreground>>;\n\tpadding: 10px;\n\twidth: 96%;\n\tborder: 1px solid <<color tiddler-controls-foreground>>;\n\ttext-align:center;\n}\n\n.tc-editor-import img {\n\tmax-height: 500px;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-viewswitcher .tc-image-button {\n\tmargin-right: .3em;\n}\n\n.tc-page-container.tc-page-view-zoomin .tc-tiddler-frame {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-page-container.tc-page-view-zoomin .tc-tiddler-frame {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg  {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button:disabled svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-drop-down .tc-drop-down-info {\n\tpadding-left: 14px;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-tab-set .tc-tab-buttons button {\n\tdisplay: inline-block;\n\twidth: auto;\n\tmargin-bottom: 0px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item-plain,\n.tc-block-dropdown .tc-dropdown-item-plain {\n\tpadding: 4px 14px 4px 7px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a.tc-tiddlylink:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n\tpadding: 0 7px 0 7px;\n}\n\n.tc-image-chooser, .tc-colour-chooser {\n\twhite-space: normal;\n}\n\n.tc-image-chooser a,\n.tc-colour-chooser a {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\ttext-align: center;\n\tposition: relative;\n}\n\n.tc-image-chooser a {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 2px;\n\tmargin: 2px;\n\twidth: 4em;\n\theight: 4em;\n}\n\n.tc-colour-chooser a {\n\tpadding: 3px;\n\twidth: 2em;\n\theight: 2em;\n\tvertical-align: middle;\n}\n\n.tc-image-chooser a:hover,\n.tc-colour-chooser a:hover {\n\tbackground: <<colour primary>>;\n\tpadding: 0px;\n\tborder: 3px solid <<colour primary>>;\n}\n\n.tc-image-chooser a svg,\n.tc-image-chooser a img {\n\tdisplay: inline-block;\n\twidth: auto;\n\theight: auto;\n\tmax-width: 3.5em;\n\tmax-height: 3.5em;\n\tposition: absolute;\n\ttop: 0;\n\tbottom: 0;\n\tleft: 0;\n\tright: 0;\n\tmargin: auto;\n}\n\n/* Make search dropdown visible on small screens. issue #7003 */\n@media (max-width: <<sidebarbreakpoint>>) {\n\n\t.tc-sidebar-search .tc-block-dropdown-wrapper {\n\t\tposition: initial;\n\t}\n\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 900;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n.tc-modal-prevent-scroll {\n\toverflow: hidden;\n}\n\n/*\n** Centered modals\n*/\n.tc-modal-centered .tc-modal {\n\twidth: auto;\n\ttop: 50%;\n\tleft: 50%;\n\ttransform: translate(-50%, -50%) !important;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical  {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: normal;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n\tborder-top-right-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical  {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical  {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n\toverflow: auto;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Manager\n*/\n\n.tc-manager-wrapper {\n\t\n}\n\n.tc-manager-controls {\n\t\n}\n\n.tc-manager-control {\n\tmargin: 0.5em 0;\n}\n\n.tc-manager-control select {\n\tmax-width: 100%;\n}\n\n.tc-manager-list {\n\twidth: 100%;\n\tborder-top: 1px solid <<colour muted-foreground>>;\n\tborder-left: 1px solid <<colour muted-foreground>>;\n\tborder-right: 1px solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item {\n\n}\n\n.tc-manager-list-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n\tborder-bottom: 1px solid <<colour muted-foreground>>;\n\tpadding: 3px;\n}\n\n.tc-manager-list-item-heading-selected {\n\tfont-weight: bold;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n\tbackground-color: <<colour foreground>>;\n}\n\n.tc-manager-list-item-heading:hover {\n\tbackground: <<colour primary>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-manager-list-item-content {\n\tdisplay: flex;\n}\n\n.tc-manager-list-item-content-sidebar {\n\tflex: 1 0;\n\tbackground: <<colour tiddler-editor-background>>;\n\tborder-right: 0.5em solid <<colour muted-foreground>>;\n\tborder-bottom: 0.5em solid <<colour muted-foreground>>;\n\twhite-space: nowrap;\n}\n\n.tc-manager-list-item-content-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n\tbackground: <<colour muted-foreground>>;\n\ttext-transform: uppercase;\n\tfont-size: 0.6em;\n\tfont-weight: bold;\n\tpadding: 0.5em 0 0.5em 0;\n}\n\n.tc-manager-list-item-content-item-body {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-manager-list-item-content-item-body > pre {\n\tmargin: 0.5em 0 0.5em 0;\n\tborder: none;\n\tbackground: inherit;\n}\n\n.tc-manager-list-item-content-tiddler {\n\tflex: 3 1;\n\tborder-left: 0.5em solid <<colour muted-foreground>>;\n\tborder-right: 0.5em solid <<colour muted-foreground>>;\n\tborder-bottom: 0.5em solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item-content-item-body > table {\n\tborder: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-manager-list-item-content-item-body > table td {\n\tborder: none;\n}\n\n.tc-manager-icon-editor > button {\n\twidth: 100%;\n}\n\n.tc-manager-icon-editor > button > svg,\n.tc-manager-icon-editor > button > button {\n\twidth: 100%;\n\theight: auto;\n}\n\n/*\n** Import table\n*/\n\n.tc-import-table {\n\twidth: 100%;\n}\n\n.tc-import-table svg.tc-image-edit-button {\n\tmax-width: unset;\n}\n\n.tc-import-table th:first-of-type {\n\twidth: 10%;\n}\n\n.tc-import-table th:last-of-type {\n\twidth: 30%;\n}\n\n.tc-import-table .tc-row-disabled {\n\tbackground: <<colour very-muted-foreground>>10;\n\topacity: 0.8;\n}\n\n.tc-import-table .tc-row-warning {\n\tbackground: <<colour diff-delete-background>>50;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 28px;\n\tleft: 0;\n\tright: 0;\n\tmax-width: 50%;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 14px;\n\tpadding: 7px;\n\tborder: 1px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 7px;\n\tright: 7px;\n\tline-height: 0;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n\tmargin-bottom: 0.5em;\n}\n\n.tc-alert-body > p {\n\tmargin: 0;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Floating drafts list\n*/\n\n.tc-drafts-list {\n\tz-index: 2000;\n\tposition: fixed;\n\tfont-size: 0.8em;\n\tleft: 0;\n\tbottom: 0;\n}\n\n.tc-drafts-list a {\n\tmargin: 0 0.5em;\n\tpadding: 4px 4px;\n\tborder-top-left-radius: 4px;\n\tborder-top-right-radius: 4px;\n\tborder: 1px solid <<colour background>>;\n\tborder-bottom: none;\n\tbackground: <<colour dirty-indicator>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a:hover {\n\ttext-decoration: none;\n\tbackground: <<colour foreground>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: text-bottom;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: flex;\n\ttext-shadow: none;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tfill: <<colour muted-foreground>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n\talign-items: center;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink.tc-plugin-info {\n\tcolor: <<colour tiddler-link-foreground>>;\n}\n\n\n.tc-plugin-info-sub-plugins .tc-plugin-info {\n\tmargin: 0.5em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugin-indicator {\n\tmargin: -16px 1em 0 2em;\n}\n\n.tc-plugin-info-sub-plugin-indicator button {\n\tcolor: <<colour background>>;\n\tbackground: <<colour foreground>>;\n\tborder-radius: 8px;\n\tpadding: 2px 7px;\n\tfont-size: 0.75em;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info-dropdown {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover > .tc-plugin-info-chunk > svg {\n\tfill: <<colour background>>;\n}\n\n.tc-plugin-info-chunk {\n\tmargin: 2px;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description {\n\tflex-grow: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-buttons {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\ttext-align: right;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h1 {\n\tfont-size: 1em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h2 {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description div {\n\tfont-size: 0.7em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle img, .tc-plugin-info-chunk.tc-plugin-info-toggle svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon img, .tc-plugin-info-chunk.tc-plugin-info-icon svg {\n\twidth: 2em;\n\theight: 2em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 0 1em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugins {\n\tpadding: 0.5em;\n\tmargin: 0 1em 1em 1em;\n\tbackground: <<colour notification-background>>;\n}\n\n.tc-install-plugin {\n\tfont-weight: bold;\n\tbackground: green;\n\tcolor: white;\n\tfill: white;\n\tborder-radius: 4px;\n\tpadding: 3px;\n}\n\n.tc-install-plugin.tc-reinstall-downgrade {\n\tbackground: red;\n}\n\n.tc-install-plugin.tc-reinstall {\n\tbackground: blue;\n}\n\n.tc-install-plugin.tc-reinstall-upgrade {\n\tbackground: orange;\n}\n\n.tc-check-list {\n\tline-height: 2em;\n}\n\n.tc-check-list .tc-image-button {\n\theight: 1.5em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n.tc-message-box svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: text-bottom;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder-right: 1px solid <<colour table-header-background>>;\n\tborder-left: 1px solid <<colour table-header-background>>;\n}\n\n\n.tc-chooser-item {\n\tborder-bottom: 1px solid <<colour table-header-background>>;\n\tborder-top: 1px solid <<colour table-header-background>>;\n\tpadding: 2px 4px 2px 14px;\n}\n\n.tc-drop-down .tc-chooser-item {\n\tpadding: 2px;\n}\n\n.tc-chosen,\n.tc-chooser-item:hover {\n\tbackground-color: <<colour table-header-background>>;\n\tborder-color: <<colour table-footer-background>>;\n}\n\n.tc-chosen .tc-tiddlylink {\n\tcursor:default;\n}\n\n.tc-chooser-item .tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tbackground-color: transparent;\n}\n\n.tc-chooser-item:hover .tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-chosen .tc-tiddlylink,\n.tc-drop-down .tc-chooser-item .tc-tiddlylink:hover {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-chosen > .tc-tiddlylink:before {\n\tmargin-left: -10px;\n\tposition: relative;\n\tcontent: \"» \";\n}\n\n.tc-chooser-item svg,\n.tc-chooser-item img{\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: middle;\n}\n\n.tc-language-chooser .tc-image-button img {\n\twidth: 2em;\n\tvertical-align: -0.15em;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\ninput.tc-palette-manager-colour-input {\n\twidth: 100%;\n\tpadding: 0;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button,\n.tc-table-of-contents .toc-item-muted {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nhtml body svg.tc-image-save-button-dynamic .tc-image-save-button-dynamic-clean {\n\tvisibility: visible;\n}\n\nhtml body svg.tc-image-save-button-dynamic .tc-image-save-button-dynamic-dirty {\n\tvisibility: hidden;\n}\n\nhtml body.tc-dirty svg.tc-image-save-button-dynamic .tc-image-save-button-dynamic-clean {\n\tvisibility: hidden;\n}\n\nhtml body.tc-dirty svg.tc-image-save-button-dynamic .tc-image-save-button-dynamic-dirty {\n\tvisibility: visible;\n}\n\nhtml body.tc-dirty span.tc-dirty-indicator, html body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n::-webkit-file-upload-button {\n\tcursor:pointer;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n\ttext-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n\tmin-width: 100%;\n\tmin-height: 100%;\n\tmax-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Diffs\n*/\n\n.tc-diff-equal {\n\tbackground-color: <<colour diff-equal-background>>;\n\tcolor: <<colour diff-equal-foreground>>;\n}\n\n.tc-diff-insert {\n\tbackground-color: <<colour diff-insert-background>>;\n\tcolor: <<colour diff-insert-foreground>>;\n}\n\n.tc-diff-delete {\n\tbackground-color: <<colour diff-delete-background>>;\n\tcolor: <<colour diff-delete-foreground>>;\n}\n\n.tc-diff-invisible {\n\tbackground-color: <<colour diff-invisible-background>>;\n\tcolor: <<colour diff-invisible-foreground>>;\n}\n\n.tc-diff-tiddlers th {\n\ttext-align: right;\n\tbackground: <<colour background>>;\n\tfont-weight: normal;\n\tfont-style: italic;\n}\n\n.tc-diff-tiddlers pre {\n\tmargin: 0;\n\tpadding: 0;\n\tborder: none;\n\tbackground: none;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Tree macro\n*/\n\n.tc-tree div {\n\tpadding-left: 14px;\n}\n\n.tc-tree ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n\tmargin-top: 0;\n}\n\n.tc-tree ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-tree button {\n\tcolor: #acacac;\n}\n\n.tc-tree svg {\n\tfill: #acacac;\n}\n\n.tc-tree span svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: baseline;\n}\n\n.tc-tree li span {\n\tcolor: lightgray;\n}\n\nselect {\n\tcolor: <<colour select-tag-foreground>>;\n\tbackground: <<colour select-tag-background>>;\n}\n\n/*\n** Translink macro\n*/\n\n.tc-translink {\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px;\n\tborder-radius: 3px;\n}\n\ndiv.tc-translink > div {\n\tmargin: 1em;\n}\n\ndiv.tc-translink > div > a:first-child > h1 {\n\tfont-size: 1.2em;\n\tfont-weight: bold;\n}\n\nspan.tc-translink > a:first-child {\n\tfont-weight: bold;\n}\n\n/*\n** Classes for displaying globals\n*/\n\n.tc-global-tiddler-body {\n\tpadding: 0.25em;\n\tborder: 1px solid <<colour foreground>>;\n\tbackground-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n}\n\n.tc-global-tiddler-body-heading {\n\tmargin: 0 0 0.25em 0;\n\tfont-weight: normal;\n}\n\n.tc-global-tiddler-body-type {\n\tmargin: 0 0 0.25em 0;\n\tborder-bottom: 1px solid <<colour foreground>>;\n}\n\n.tc-global-tiddler-body-details {\n\tbackground-color: <<colour background>>;\n}\n\n.tc-global-tiddler-body pre {\n\tmargin: 0;\n\tborder: 1px solid <<colour foreground>>;\n}\n\n/*\n** Utility classes for SVG icons\n*/\n\n.tc-fill-background {\n\tfill: <<colour background>>;\n}\n\n.tc-network-activity-background {\n\tfill: <<colour network-activity-foreground>>;\n}\n\n/*\n** Flexbox utility classes\n*/\n\n.tc-flex {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-flex-column {\n\tflex-direction: column;\n}\n\n.tc-flex-row {\n\tflex-direction: row;\n}\n\n.tc-flex-grow-1 {\n\tflex-grow: 1;\n}\n\n.tc-flex-grow-2 {\n\tflex-grow: 2;\n}\n\n/*\n** Other utility classes\n*/\n\n/* Horizontal gaps */\n\n.tc-tiny-gap {\n\tmargin-left: .25em;\n\tmargin-right: .25em;\n}\n\n.tc-tiny-gap-left {\n\tmargin-left: .25em;\n}\n\n.tc-tiny-gap-right {\n\tmargin-right: .25em;\n}\n\n.tc-small-gap {\n\tmargin-left: .5em;\n\tmargin-right: .5em;\n}\n\n.tc-small-gap-left {\n\tmargin-left: .5em;\n}\n\n.tc-small-gap-right {\n\tmargin-right: .5em;\n}\n\n.tc-big-gap {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-big-gap-left {\n\tmargin-left: 1em;\n}\n\n.tc-big-gap-right {\n\tmargin-right: 1em;\n}\n\n.tc-word-break {\n\tword-break: break-all;\n}\n\n/* Vertical gaps */\n\n.tc-tiny-v-gap-bottom {\n\tmargin-bottom: 3px;\n}\n"},"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize":{"title":"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize","text":"15px"},"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight":{"title":"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight","text":"22px"},"$:/themes/tiddlywiki/vanilla/metrics/fontsize":{"title":"$:/themes/tiddlywiki/vanilla/metrics/fontsize","text":"14px"},"$:/themes/tiddlywiki/vanilla/metrics/lineheight":{"title":"$:/themes/tiddlywiki/vanilla/metrics/lineheight","text":"20px"},"$:/themes/tiddlywiki/vanilla/metrics/storyleft":{"title":"$:/themes/tiddlywiki/vanilla/metrics/storyleft","text":"0px"},"$:/themes/tiddlywiki/vanilla/metrics/storytop":{"title":"$:/themes/tiddlywiki/vanilla/metrics/storytop","text":"0px"},"$:/themes/tiddlywiki/vanilla/metrics/storyright":{"title":"$:/themes/tiddlywiki/vanilla/metrics/storyright","text":"770px"},"$:/themes/tiddlywiki/vanilla/metrics/storywidth":{"title":"$:/themes/tiddlywiki/vanilla/metrics/storywidth","text":"770px"},"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth":{"title":"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth","text":"686px"},"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint":{"title":"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint","text":"960px"},"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth":{"title":"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth","text":"350px"},"$:/themes/tiddlywiki/vanilla/options/stickytitles":{"title":"$:/themes/tiddlywiki/vanilla/options/stickytitles","text":"no"},"$:/themes/tiddlywiki/vanilla/options/sidebarlayout":{"title":"$:/themes/tiddlywiki/vanilla/options/sidebarlayout","text":"fixed-fluid"},"$:/themes/tiddlywiki/vanilla/options/codewrapping":{"title":"$:/themes/tiddlywiki/vanilla/options/codewrapping","text":"pre-wrap"},"$:/themes/tiddlywiki/vanilla/reset":{"title":"$:/themes/tiddlywiki/vanilla/reset","type":"text/css","text":"/*! modern-normalize v1.0.0 | MIT License | https://github.com/sindresorhus/modern-normalize */\n\n/*\nDocument\n========\n*/\n\n/**\nUse a better box model (opinionated).\n*/\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n/**\nUse a more readable tab size (opinionated).\n*/\n\n:root {\n  -moz-tab-size: 4;\n  tab-size: 4;\n}\n\n/**\n1. Correct the line height in all browsers.\n2. Prevent adjustments of font size after orientation changes in iOS.\n*/\n\nhtml {\n  line-height: 1.15; /* 1 */\n  -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/*\nSections\n========\n*/\n\n/**\nRemove the margin in all browsers.\n*/\n\nbody {\n  margin: 0;\n}\n\n/**\nImprove consistency of default fonts in all browsers. (https://github.com/sindresorhus/modern-normalize/issues/3)\n*/\n\nbody {\n  font-family:\n    system-ui,\n    -apple-system, /* Firefox supports this but not yet `system-ui` */\n    'Segoe UI',\n    Roboto,\n    Helvetica,\n    Arial,\n    sans-serif,\n    'Apple Color Emoji',\n    'Segoe UI Emoji';\n}\n\n/*\nGrouping content\n================\n*/\n\n/**\n1. Add the correct height in Firefox.\n2. Correct the inheritance of border color in Firefox. (https://bugzilla.mozilla.org/show_bug.cgi?id=190655)\n*/\n\nhr {\n  height: 0; /* 1 */\n  color: inherit; /* 2 */\n}\n\n/*\nText-level semantics\n====================\n*/\n\n/**\nAdd the correct text decoration in Chrome, Edge, and Safari.\n*/\n\nabbr[title] {\n  text-decoration: underline dotted;\n}\n\n/**\nAdd the correct font weight in Edge and Safari.\n*/\n\nb,\nstrong {\n  font-weight: bolder;\n}\n\n/**\n1. Improve consistency of default fonts in all browsers. (https://github.com/sindresorhus/modern-normalize/issues/3)\n2. Correct the odd 'em' font sizing in all browsers.\n*/\n\ncode,\nkbd,\nsamp,\npre {\n  font-family:\n    ui-monospace,\n    SFMono-Regular,\n    Consolas,\n    'Liberation Mono',\n    Menlo,\n    monospace; /* 1 */\n  font-size: 1em; /* 2 */\n}\n\n/**\nAdd the correct font size in all browsers.\n*/\n\nsmall {\n  font-size: 80%;\n}\n\n/**\nPrevent 'sub' and 'sup' elements from affecting the line height in all browsers.\n*/\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\nsup {\n  top: -0.5em;\n}\n\n/*\nTabular data\n============\n*/\n\n/**\n1. Remove text indentation from table contents in Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=999088, https://bugs.webkit.org/show_bug.cgi?id=201297)\n2. Correct table border color inheritance in all Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=935729, https://bugs.webkit.org/show_bug.cgi?id=195016)\n*/\n\ntable {\n  text-indent: 0; /* 1 */\n  border-color: inherit; /* 2 */\n}\n\n/*\nForms\n=====\n*/\n\n/**\n1. Change the font styles in all browsers.\n2. Remove the margin in Firefox and Safari.\n*/\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  font-family: inherit; /* 1 */\n  font-size: 100%; /* 1 */\n  line-height: 1.15; /* 1 */\n  margin: 0; /* 2 */\n}\n\n/**\nRemove the inheritance of text transform in Edge and Firefox.\n1. Remove the inheritance of text transform in Firefox.\n*/\n\nbutton,\nselect { /* 1 */\n  text-transform: none;\n}\n\n/**\nCorrect the inability to style clickable types in iOS and Safari.\n*/\n\nbutton,\n[type='button'],\n[type='reset'],\n[type='submit'] {\n  -webkit-appearance: button;\n}\n\n/**\nRemove the inner border and padding in Firefox.\n*/\n\n::-moz-focus-inner {\n  border-style: none;\n  padding: 0;\n}\n\n/**\nRestore the focus styles unset by the previous rule.\n*/\n\n:-moz-focusring {\n  outline: 1px dotted ButtonText;\n}\n\n/**\nRemove the additional ':invalid' styles in Firefox.\nSee: https://github.com/mozilla/gecko-dev/blob/2f9eacd9d3d995c937b4251a5557d95d494c9be1/layout/style/res/forms.css#L728-L737\n*/\n\n:-moz-ui-invalid {\n  box-shadow: none;\n}\n\n/**\nRemove the padding so developers are not caught out when they zero out 'fieldset' elements in all browsers.\n*/\n\nlegend {\n  padding: 0;\n}\n\n/**\nAdd the correct vertical alignment in Chrome and Firefox.\n*/\n\nprogress {\n  vertical-align: baseline;\n}\n\n/**\nCorrect the cursor style of increment and decrement buttons in Safari.\n*/\n\n::-webkit-inner-spin-button,\n::-webkit-outer-spin-button {\n  height: auto;\n}\n\n/**\n1. 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Change font properties to 'inherit' in Safari.\n*/\n\n::-webkit-file-upload-button {\n  -webkit-appearance: button; /* 1 */\n  font: inherit; /* 2 */\n}\n\n/*\nInteractive\n===========\n*/\n\n/*\nAdd the correct display in Chrome and Safari.\n*/\n\nsummary {\n  display: list-item;\n}\n"},"$:/themes/tiddlywiki/vanilla/settings/fontfamily":{"title":"$:/themes/tiddlywiki/vanilla/settings/fontfamily","text":"-apple-system,BlinkMacSystemFont,Segoe UI,Helvetica,Arial,sans-serif,Apple Color Emoji,Segoe UI Emoji"},"$:/themes/tiddlywiki/vanilla/settings/codefontfamily":{"title":"$:/themes/tiddlywiki/vanilla/settings/codefontfamily","text":"\"SFMono-Regular\",Consolas,\"Liberation Mono\",Menlo,Courier,monospace"},"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment":{"title":"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment","text":"fixed"},"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize":{"title":"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize","text":"auto"},"$:/themes/tiddlywiki/vanilla/sticky":{"title":"$:/themes/tiddlywiki/vanilla/sticky","code-body":"yes","text":"<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n\n``\n<$list filter=\"[range[100]]\">\n`.tc-story-river .tc-tiddler-frame:nth-child(100n+`<$text text=<<currentTiddler>>/>`) {\nz-index: `<$text text={{{ [[200]subtract<currentTiddler>] }}}/>`;\n}\n`\n</$list>\n</$reveal>\n"}}}

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Alle älteren Berichte sind im [[Archiv|http://www.estelar.de/archive.html]] abgelegt.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40552137650/" title="Wasserkuppe 2015"><img src="https://farm1.staticflickr.com/902/40552137650_1ecffe2141_h.jpg" alt="Wasserkuppe 2015"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<h3>Was für ein Glück! Für eine Nacht wird es klar. Es ist zwar Sonntag, aber morgen habe ich frei. ''Weiterlesen... [[>>|11. Oktober 2015 - Rhön]]''</h3>

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/21393957251/in/datetaken/" title="DSC03333_stitch_spherical_4000x1200_last"><img src="https://farm6.staticflickr.com/5779/21393957251_c2771cbdca_z.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Nach der Sommerexkursion [[Spanien August 2015]] führt es mich nur drei Wochen später an meinen Heimatbeobachtungsort zurück in die Rhön: [[11. September 2015 - Rhön]].

!!!Nicht immer offenbaren größere Geräte ihren Öffnungsvorteil auf den ersten Blick. Am Beispiel von ''NGC 6818'' möchte ich meinen ''persönlichen Eindruck'' schildern.

<div class="tc-link-info-item-flex-50">

!!NGC 6818 mit 14 Zoll bei 800 fach

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/28922560742/in/datetaken/" title="Untitled"><img src="https://farm9.staticflickr.com/8693/28922560742_4a7aa4f581_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>
</div>
<div class="tc-link-info-item-flex-50">

!!NGC 6818 mit 25 Zoll bei 670 fach

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37914330845/" title="NGC 6818 für Artikel"><img src="https://farm5.staticflickr.com/4515/37914330845_f5c4e1ff72_b.jpg" alt="NGC 6818 für Artikel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>
</div>

!!!''Hier geht es zum Artikel... [[>>|14 vs. 25 Zoll - Ein Vergleich]]''

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/17201005541" title="DSC01546_stitch_bearbeitet"><img src="https://farm8.staticflickr.com/7596/17201005541_d223807201_h.jpg" alt="DSC01546_stitch_bearbeitet"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>


<h3>Von Frühling keine Spur. Temperaturen wie im Februar, super Himmel aber auch. ''Weiterlesen...[[ >>|18. April 2015 - Neumond in der Rhön]]''</h3> 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/21778532565/in/photostream/" title="Lunar Eclipse from 09.11.2013"><img src="https://farm6.staticflickr.com/5701/21778532565_4941d4249d_z.jpg" alt="Lunar Eclipse from 09.11.2013"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<h3>Ich habe die Mondfinsternis aus dem offenen Wohnzimmerfenster heraus verfolgt. Die letzte lag mittlerweile 12 Jahre zurück. ''Weiterlesen... [[>>|28. September 2015 - Mondfinsternis]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/u44y35" title="Untitled"><img src="https://live.staticflickr.com/65535/51107561958_84fd472f99_k.jpg"></a>

<h3>Eine klare Osternacht in der Rhön...''Weiterlesen...[[ >>|3. April 2021 - Lange Rhön]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25780691783/in/datetaken/" title="Pano 4000 länger"><img src="https://farm2.staticflickr.com/1463/25780691783_6892e2707f_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Der April ist auf La Palma eigentlich ein sehr guter Monat. Leider bin ich vom Nordost-Passat überrascht worden. Klarer Himmel an den meisten Tagen und Nächten aber heftiger Wind und schlechtes Seeing. [[Hier geht es weiter >>|April, April!]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/41T2A5" title="Untitled"><img src="https://live.staticflickr.com/65535/51851889273_11906f2ad3_k.jpg"></a>

<h3> Für insgesamt zehn Nächte bin ich auf Athos. ''Weiterlesen... [[>>|Athos im Januar 2022]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/poKJ15" title="Untitled"><img src="https://live.staticflickr.com/65535/49709197806_63cc3293e4_k.jpg"></a>

<h3>Zum Märzneumond steht die Coronakrise an. ''Weiterlesen...[[ >>|24. März 2020 - Coronanacht in der Langen Rhön]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/NY2cfXmR99" title="Untitled"><img src="https://live.staticflickr.com/65535/52379012305_f4ad91297c_k.jpg"></a>

<h3>Wieder September. Zwei gute Nächte.'' Weiterlesen...[[ >>|21. September 2022 - Lange Rhön]]''</h3>

<a data-flickr-embed="true"href="https://www.flickr.com/gp/106029581@N02/d5Qr52" title="C4E5A59F-A987-4600-A509-CF0AC5F3AE0E"><img src="https://live.staticflickr.com/65535/50109502007_73ee1fe1a2_k.jpg"></a>

<h3>Ein heller Komet ☄️ ist zu sehen. ''Weiterlesen...[[ >>|12. Juli 2020 - Feldberg]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/29u5YP7rr9" title="Untitled"><img src="https://live.staticflickr.com/65535/52269097156_76838a0597_k.jpg"></a>

<h3>Endlich wieder Rhön! Hier ist es eh am schönsten.'' Weiterlesen...[[ >>|06. August 2022 - Lange Rhön]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/69t55H" title="Lange Rhön im Sommer"><img src="https://live.staticflickr.com/65535/50142359173_e5b0a7704e_k.jpg" alt="Lange Rhön im Sommer"></a>

<h3>Der Sommer ist durch häufige Wetterwechsel geprägt. Eine klare Nacht gibt es dann aber doch. Zum Glück. ''Weiterlesen...[[ >>|21. Juli 2020 - Lange Rhön]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/59043R" title="Lange Rhön"><img src="https://live.staticflickr.com/65535/50577026466_dd7f47bfa1_k.jpg" alt="Lange Rhön"></a>

<h3>Seit Juli gab es in der Rhön keine gescheite Nacht mehr. Erst jetzt, im November, wird das Wetter wieder besser...''Weiterlesen [[ >>|6. November 2020 - Lange Rhön]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/02085y" title="Wasserkuppe II"><img src="https://live.staticflickr.com/65535/49910243831_75188ccb39_k.jpg" alt="Wasserkuppe II"></a>

<h3>Eine gute Nacht im Mai. ''Weiterlesen...[[ >>|17. Mai 2020 - Lange Rhön]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/748zadi1Q7" title="Untitled"><img src="https://live.staticflickr.com/65535/53651298755_97e82ef9cc_k.jpg" alt="Untitled"/></a>

<h3>Am 10. April stehen Jupiter, der Mond und 12P/Pons-Brooks gemeinsam am Abendhimmel.'' Weiterlesen...[[ >>|10. April 2024 - Lange Rhön]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/wgy96yL8L2" title="Untitled"><img src="https://live.staticflickr.com/65535/52329602908_2e026bfa6f_k.jpg"></a>

<h3>Eine weitere Augustnacht. Hoffentlich nicht die letzte.'' Weiterlesen...[[ >>|28. August 2022 - Lange Rhön]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/53551331998/in/dateposted/" title="Untitled"><img src="https://live.staticflickr.com/65535/53551331998_6fcc1355ed_k.jpg"/></a>

<h3>Anfang März später kommen endlich die lang ersehnten Frühlingsnächte!'' Weiterlesen...[[ >>|Endlich wieder Frühling!]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/JMpG45ShC8" title="Untitled"><img src="https://live.staticflickr.com/65535/53420808519_c9caf16117_k.jpg" alt="Untitled"/></a>

<h3>Im Frühjahr ein Schnäppchen bei Condor ergattert. Endlich wieder La Palma!'' Weiterlesen...[[ >>|Endlich wieder La Palma]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/P4XFQ2" title="Untitled"><img src="https://live.staticflickr.com/65535/50331702422_7299b00bc5_k.jpg"></a>

<h3>Der Sommer ist durch häufige Wetterwechsel geprägt. Ich halte es nicht mehr aus und breche schließlich nach La Palma auf... ''Weiterlesen...[[ >>|Es geht wieder los...]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46890209414/in/dateposted/" title="Untitled"><img src="https://live.staticflickr.com/65535/46890209414_a48c1a6a6d_k.jpg"></a>

<h3>April, ein Standardtermin im Beobachtungskalender steht an. ''Weiterlesen... [[>>|Es muss nicht immer der Roque sein]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/z1533u" title="Titel"><img src="https://live.staticflickr.com/65535/49822261866_562c98aac5_k.jpg"></a>

<h3>Im Frühjahr hat uns die Corona Seuche fest im Griff. ''Weiterlesen...[[ >>|Frühjahr 2020]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/aLK809" title="Untitled"><img src="https://live.staticflickr.com/65535/51913764885_4c214896e0_k.jpg"></a>

<h3> Endlich geht es auch bei uns los. Die ersten klaren Frühlingsnächte kommen. ''Weiterlesen... [[>>|Frühjahrsauftakt in der Rhön]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31441943008/in/dateposted-public/"><img src="https://farm2.staticflickr.com/1962/31441943008_04efb281ab_k.jpg"></a>

<h3>Herbst in der Rhön. Die ersten guten Nächte kommen im Oktober.  ''Weiterlesen...[[ >>|Herbstfest auf der Wasserkuppe]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/sS1Y5k7690" title="Untitled"><img src="https://live.staticflickr.com/65535/52974214805_4ed28e6e9e_k.jpg"/></a>

<h3> Dieses Jahr geht es mal nicht nach Namibia! Alles ausgebucht.'' Weiterlesen...[[ >>|Juni mal anders]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32623814455/in/datetaken/" title="Zodiakallicht und der Untergang der Sommermilchstrasse"><img src="https://farm1.staticflickr.com/768/32623814455_dc0e065d24_h.jpg" alt="Zodiakallicht und der Untergang der Sommermilchstrasse"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<h3>Sieben Winternächte auf La Palma. La Palma im Januar ist mittlerweile ein fester Termin in meinem jährlichen Beobachtungskalender. Ursprünglich war November ins Auge gefasst. Wegen schlechten Wetters dann aber kurzfristig verschoben auf Januar. ''Weiterlesen... [[>>|La Palma im Januar]]''</h3>

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/39844693221/in/datetaken-public/" title="Untitled"><img src="https://farm5.staticflickr.com/4752/39844693221_c83910100f_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<h3>Der Januar ist wettertechnisch ein guter Monat. Neun Nächte waren geplant. ''Weiterlesen [[ >>|La Palma im Januar 2018]]''</h3>

<a href="https://www.flickr.com/photos/106029581@N02/16303463603" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7637/16303463603_cb4b613e9f_z.jpg"></a>

Circa acht Wochen später bin ich wieder auf La Palma. Diesmal etwas länger und mit der Hoffnung auf besseres Wetter.
Hier geht's zum Bericht: [[La Palma im März]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33779793696/in/datetaken-public/" title="Pano Summer Milky Way"><img src="https://farm3.staticflickr.com/2900/33779793696_20327a1938_h.jpg" alt="Pano Summer Milky Way"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<h3>Circa acht Wochen später bin ich wieder auf La Palma. ''Weiterlesen... [[>>|La Palma im März 2017]]''</h3>

<a href="https://www.flickr.com/photos/106029581@N02/16777406048" title="pano2 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8711/16777406048_7e8c3fe62e_z.jpg" alt="pano2"></a>

Die Exkursion im Januar 2015 war leider ein Reinfall. Starker Wind, teilweise Regen und schlechtes Seeing ließen Deep Sky Beobachtungen mit dem Teleskop leider nicht zu. Dennoch gelangen mir in zwei Nächten schöne Aufnahmen des Nachthimmels. Hier geht es zum vollständigen Bericht: [[La Palma Jan 2015]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4aw9S0" title="Untitled"><img src="https://live.staticflickr.com/65535/49538568173_b29afa2723_k.jpg"></a>

<h3>Und weiter geht es. Zum nächsten Neumond bin ich direkt auf La Palma. ''Weiterlesen...[[ >>|La Palma Januar 2020]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/vho48qU87j" title="Untitled"><img src="https://live.staticflickr.com/65535/52791756522_4c244d1708_k.jpg"/></a>

<h3>Frühling bereits im Februar! Und Nebel.'' Weiterlesen...[[ >>|13. Februar 2023 - Wasserkuppe]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29915191125/in/datetaken/" title="Ohne Titel"><img src="https://farm9.staticflickr.com/8307/29915191125_ef7b1b494c_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<h3>Zwei Schöne Herbstnächte in Stumpi und in der Langen Rhön. ''Weiterlesen... [[>>|Laue Sommernächte im Herbst]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28798899707/" title="Mondfinsternis"><img src="https://farm1.staticflickr.com/850/28798899707_320182a509_h.jpg" alt="Mondfinsternis"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<h3>Die längste Mondfinsternis des Jahrhunderts. ''Weiterlesen...[[ >>|Mondfinsternis am 27.07.2018]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/k501B2" title="Untitled"><img src="https://live.staticflickr.com/65535/51011807233_ed4743a70b_k.jpg"></a>

<h3>Frühjahrsauftakt in der Rhön mit drei klaren Nächten innerhalb einer Woche...''Weiterlesen...[[ >>|Frühjahr 2021]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/h1T8vo" title="Titelbild Webseite"><img src="https://live.staticflickr.com/65535/48385624652_31e55ac1c4_k.jpg"  alt="Titelbild Webseite"></a>

<h3>Der nächste Standardtermin im Beobachtungskalender steht an. ''Weiterlesen... [[>>|Namibia auf Tivoli 2019]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43169539245/in/dateposted-public/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1815/43169539245_fc77007245_k.jpg"></a>

<h3>Wieder ein Jahr rum. Diesmal geht es im August nach Tivoli. ''Weiterlesen...[[ >>|Namibia August 2018]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/r27aW8" title="Untitled"><img src="https://live.staticflickr.com/65535/51313983693_42a974af58_k.jpg"></a>

<h3>Yep, Namibia! Ich hatte bereits abgesagt. Jetzt kommt die Kehrtwende...''Weiterlesen...[[ >>|Namibia Juni 2021]]''</h3>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7KT6v9" title="Untitled"><img src="https://live.staticflickr.com/65535/52196457682_775c2675a4_k.jpg"></a>

<h3>Yep, wieder Namibia!'' Weiterlesen...[[ >>|Namibia Juni 2022]]''</h3>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/17462116904" title="Night sky panorama taken at Tivoli"><img src="https://farm9.staticflickr.com/8859/17462116904_800cd6a62b_h.jpg" alt="Night sky panorama taken at Tivoli"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>


<h3>Dies ist meine erste Beobachtungsexkursion nach Namibia. Nach zwei Jahren Wartezeit geht es schließlich im Mai los. Es folgt ein zweiwöchiger Aufenthalt auf der berühmten Astrofarm Tivoli. ''Weiterlesen...[[ >>|Namibia Mai 2015]]''</h3> 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34852473460/in/datetaken/" title="This is a crop from the sperical projection."><img src="https://c1.staticflickr.com/5/4237/34852473460_8b956911f5_h.jpg" alt="This is a crop from the sperical projection."></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<h3>Dies ist meine zweite Beobachtungsexkursion nach Namibia. ''Weiterlesen... [[>>|Namibia Mai 2017]]''</h3>

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<h3>Am 8. Oktober geht der Herbst endlich weiter. ''Weiterlesen...[[ >>|8. Oktober 2021 - Lange Rhön]]''</h3>

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<h3>Die ersten herbstlichen Nächte stehen an, inklusive Frost.'' Weiterlesen...[[ >>|15. Oktober 2023 - Stumpertenrod]]''</h3>

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<h3>Es ist Ostersonntag und Merkur ist am Abendhimmel zu sehen.'' Weiterlesen...[[ >>|Ostersonntag 2023 - Lange Rhön]]''</h3>

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<h3>Eigentlich sollte ich auf dem Alto Tajo sein. Eigentlich. ''Weiterlesen...[[ >>|Pinar de Araceli Sommer 2018]]''</h3>

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<h3>Ein paar Tage und Nächte in der Sierra de Segura. ''Weiterlesen... [[>>|Pinar de Araceli Sommer 2017]]''</h3>

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Vor den weißen Nächten ging es Anfang Mai nochmal in die Rhön. [[Hier geht es weiter >>|Rhön - La Palma des Nordens]]

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<h3>Es wird doch noch mal klar dieses Jahr!'' Weiterlesen...[[ >>|Rhön im August 2023]]''</h3>

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<h3>Omegawetterlage! Ein sehr stabiles Hoch über Deutschland'' Weiterlesen...[[ >>|Rhön im September 2023]]''</h3>

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<h3>Der 2. September startet mit einem vielversprechenden Herbstauftakt. ''Weiterlesen...[[ >>|2. September 2021 - Lange Rhön]]''</h3>

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<h3>Der letzte Besuch war im März. Freue mich schon riesig. ''Weiterlesen...[[ >>|Silvester auf La Palma]]''</h3>

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<h3>Im Sommer war wenig zu holen. Wolken ☁️ & Regen 🌧 ohne Ende. Am 14. August ergibt sich endlich eine halbwegs klare Nacht. ''Weiterlesen...[[ >>|Sommer & Herbst 2021]]''</h3>

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Der Sommer ist da. Nur nicht in Mitteleuropa. Aber im Süden. Genauer Spanien.  [[Weiter >>|Spanien - Im Süden nichts Neues]]

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<h3>Gute Tradition ist es bei mir im Sommer in Spanien zu beobachten. Diesmal war ich wieder vier Nächte in [[Bonilla|Bonilla - Mirador de las Estrellas]] sowie drei weitere im [[Pinar de Araceli (PDA)]] an. ''Weiterlesen...[[ >>|Spanien August 2015]]''</h3> 

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Beobachtungsbericht vom 14.02.2015 in der Rhön. Hier geht's zum Bericht: [[Tiefgekühlt durch die Nacht]] 

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<h3>Der März beginnt mit einem Paukenschlag: sehr transparente Tage und Nächte folgen. ''Weiterlesen... [[>>|7. März 2022 - Stumpertenrod]]''</h3>

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<h3>Vier kalte Herbstnächte auf der Wasserkuppe. ''Weiterlesen... [[>>|Vier kalte Nächte auf der Wasserkuppe]]''</h3>

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<h3>Der März endet, wie er begonnen hat: Klar...  ''Weiterlesen... [[>>|24. März 2022 - Lange Rhön]]''</h3>

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<h3>Herbst in der Rhön. Zwei gute Nächte im Oktober. ''Weiterlesen...[[ >>|Wasserkuppe im Herbst 2019]]''</h3>

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<h3>Fast drei Wochen nach [[La Palma|La Palma im Januar 2018]] folgt die nächste Beobachtungsnacht. ''Weiterlesen [[ >>|13. Februar 2018 - Wasserkuppe]]''</h3>

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<h3>Ab dem 20. Dezember lohnt die Beobachtung. Denn der Mond ist auf dem Rückzug. ''Weiterlesen...[[ >>|Weihnachten 2019]]''</h3>

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<h3>Pinar de Araceli, drei Jahre später!'' Weiterlesen...[[ >>|Weihnachten im Pinar de Araceli]]''</h3>

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<h3>Vier Wochen später geht es in die Rhön. Klare Nächte im Winter…ein Wunder!'' Weiterlesen...[[ >>|Windiger & kalter Jahresauftakt in der Rhön]]''</h3>

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<h3>Winterwunder? Ja, denn so einen Winter hatten wir lange nicht mehr. Es ist bitter kalt...''Weiterlesen [[ >>|13. Februar 2021 - Wasserkuppe]]''</h3>

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<h3>Zwei Nächte auf der Wasserkuppe. ''Weiterlesen...[[ >>|Zwei Nächte auf der Wasserkuppe]]''</h3>

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<h3>Eine kurze Nacht in Stumpi und eine auf der Wasserkuppe. ''Weiterlesen...[[ >>|Zwei Nächte im Mai]]''</h3>

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<h3>Nach Weihnachten geht es auf den Winterneumond zu. Und ich bin wieder in Spanien. ''Weiterlesen...[[ >>|Zwischen den Jahren auf dem Alto Tajo]]''</h3>

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<h3>Sechs Winternächte im Pinar.  ''Weiterlesen...[[ >>|Zwischen den Jahren im Pinar]]''</h3>

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So sieht es auf der Muela de San Juan aus. Genauer: Am Parkplatz und am Feuerwachturm. Rechts ist der Parkplatz zu sehen. Oben der Blick nach Osten auf den Sendemast. Unten nach Süden mit dem Camper. Wieder sonnig und wieder beste Transparenz. Nachts war es arschkalt auch wegen der hohen Luftfeuchtigkeit. Egal. So schlimm war es nicht. Im Dorf ist es recht ruhig. In der Sonne ist es frühlingshaft warm. 

Am Platz auf der Lichtung ist es klar, aber feucht. 86% und -6° Celsius. Frisch.

Erstes Objekt ist heute Mars. Aber er ist nur noch sehr klein und zeigt eine ausgeprägte Phase. Ansatzweise kann man Strukturen erkennen.

!!M33 ist mit bloßem Auge direkt zu erkennen. Alles kein Problem. 

Bei 65 fach zeigt sie sich unglaublich strukturiert. Ich versuche mich an NGC 604, der berühmten HII-Region. Ich möchte mal nach den eingebetteten Sternhaufen Ausschau halten.

[[NGC 604]]: Bei 430 fach sind auf Anhieb 3-4 stellare Aufhellungen zu erkennen. Steigerung auf 900 fach und geduldige Beobachtung zeigen dann insgesamt sechs, wobei zunächst die westliche Spitze, die ein gleichschenkliges Dreieck bildet, zu erkennen ist. Dann erscheinen parallel zu einem Schenkel zwei weitere und schließlich, sehr schwer erkennbar, zu diesen unterhalb, etwa mittig, eine weitere stellare Aufhellung. Indirekt kann die westliche Spitze bei sehr gutem Seeing indirekt leicht gehalten werden. Die Aufhellungen sind natürlich in den Nebel der HII-Region eingebettet, wobei auch hier entlang der Kanten der stellaren Knoten hellere Kanten indirekt wahrnehmbar sind. Diese werden nicht durch die Knoten vorgetäuscht, denn in Momenten, wo das Seeing schlechter wird und die Knoten verschwinden, bleibt der Eindruck vorhanden. Seeing 1.

-7° Celsius. Um die 70% Luftfeuchte. Seeing ist heute sehr gut. ''46P/Wirtanen'' ist immer noch mit bloßem Auge zu erkennen.

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[[NGC 1535 - Kleopatras Auge]]: Bei sehr gutem Seeing kann das Objekt auf 900 fach vergrößert werden. Dann zeigt sich ein runder bis ovaler Nebel in dessen Mitte ein ZS steht. Dieser kann direkt gehalten werden und ist einfach sichtbar. Indirekt bei perfekten Seeing zeigt sich eine helle, gut definierte Nebelschale um den Zentralstern. Nördlich zeigt diese zwei Knoten, sowie symmetrisch im Süden ebenfalls. Sie können indirekt knapp gehalten werden, wenn das Seeing mitspielt. Von diesen Knoten gehen diffuse Speichen zum Zentralstern hin ab. Die helle Nebelschale ist westlich etwas besser definiert und heller. Die Schale ist wiederum in einen gut sichtbaren und gut begrenzten Halo eingebettet, der an seinem nordwestlichen Rand einen kaum wahrnehmbaren Stern zeigt. Östlicher Rand des Halos etwas heller.

Die Luftfeuchtigkeit steigt im Nu auf fast 90%. Blöd. Bei -7° Celsius recht knackig. Eispanzer überall. Habe auch die Kamera gecheckt. Das Objektiv ist frei obwohl das Fisheye direkt in den Zenit schaut. Mal sehen, ob ich mich da nicht geirrt habe. Von NGC 1535 bin ich noch ganz „geflashed“. Unglaublicher PN.

!!Galaxienhaufen Abell 539

Als nächstes geht’s in den Orion. Im letzten Heft von „Abenteuer Astronomie“ wurde insbesondere in einem Bericht von Norman Görlitz der Galaxienhaufen ''[[Abell 539]]'' vorgestellt. Ich habe ihn besucht und folgendes gesehen: Ausgangspunkt ist der Stern HD 34536. In seiner Nachbarschaft sind recht schnell UGC 3228, PGC 17048 sowie UGC 3279 zu sehen. Die ersten beiden linsenförmig, letztere zeigt sich als Spindel. Keine Ahnung, ob diese auch dazu gehören. Etwas abseits dann PGC 17033 und südwestlich UGC 3274. Mit letzterer stimmt irgendetwas nicht, da bei genauerem Hinsehen zwei Objekte zu sehen sind. Dabei ist in ~SkySafari nur eine winzige Galaxie vermerkt. Die schwierigste ist UGC 3275, die nur als zigarrenförmiger Hauch zu erahnen ist. Besser gehen da die vier Galaxien PGC 17028, PGC 17024, 17017 & 75317. Sie sind nur auszumachen, wenn man weiss an welcher Position sie stehen. Auf jeden Fall scheinen sie im Zentrum des Galaxienhaufens zu stehen, zumindest in diesem Teil. Neben dem Stern HD242253 steht auch PGC 17020, die man nur wahrnimmt, wenn man den Stern außer Acht lässt. Schließlich etwas abseits davon stehen noch 17022 und 75301. Als optimale Vergrößerung haben sich 114 fach und 290 fach herausgestellt, wobei ich die höhere Vergrößerung von beiden bevorzugt habe. Es ist schön mal wieder einen Galaxienhaufen zu beobachten, gehören sie doch zu den fundamentalen Strukturen unseres Universums. 

Das SQM-L hat heute gesponnen: Ging die Nacht mit 21.66 los. So weit so normal. Dann allerdings fielen die Werte auf 21.45. Vermutlich zogen Wolken durch, die man mit dem bloßen Auge nicht sehen kann. Jetzt um drei Uhr morgens sind wieder 21.82 im Zenit angesagt. Für heute bin ich durch. Mal sehen wie lange ich noch durchhalte.

Letztes Objekt ist [[NGC 2392 - Eskimonebel]]: Bei sehr gutem Seeing kann der helle Nebel bis auf 900 fach vergrößert werden. Es zeigt sich ein heller, runder Nebel in dessen Mitte ein heller Zentralstern steht. Ihn umgibt etwa im halben Radius des Nebels eine innenliegende Nebelschale, die gut definiert ist und westlich und - etwas schwächer - östlich hellere Kanten hat. Nord- und südlich insgesamt schwächer. Insgesamt oval und nach Süden hin spitzer zulaufend, wobei in der Spitze hin und wieder die berühmte Brücke kurzzeitig schwach zu erkennen ist. Nördlicher Teil der Schale fast gerade verlaufend. Im äußeren Teil des Nebels sind nördlich eine eingebettete helle Nebelkante zu sehen, dito westlich und südlich. Letztere markieren aber den Rand.

So ich habe durchgehalten. 4:31 Uhr und saukalt. Jetzt auch noch Wind. Schwach zwar, aber tippen geht nicht mehr gut. Luftfeuchte um 66%. Immer noch -5° Celsius.

[[<<Zurück zur vorangegangenen Nacht|31. Dezember 2018 - Muela de San Juan]] | [[Weiter zur nächsten Nacht >>|02. Januar 2019 - Muela de San Juan]]

Heute findet der „Sundowner“ statt. Traditionell handelt es sich um eine Fahrt auf eine nahegelegene Düne einer benachbarten Gästefarm, wo bei Speis und Trank dem Leben gehuldigt wird. 

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Tagsüber sehen wir häufig Wolken, aber wir hoffen, dass diese nachts verschwinden. So kommt es leider nicht. Stattdessen zieht es immer mehr zu und ein Aufklaren wird von der Wetter App zunehmend in den Morgen verschoben. Schließlich klart es dann um 3:00 Uhr auf, was wir tatsächlich erst am Wetterradar sehen und dann beim Rausgehen stellt sich heraus, dass dies tatsächlich so ist. Wir gehen zum großen Dobson und wollen noch ein paar Highlights machen, dazu noch ein paar Fotos. Das tun wir auch und um 4:30 Uhr sind wir wieder in der Hütte und gehen ins Bett. Dies war die erste tatsächliche Wolkennacht.

[[<< Zurück zur vorangegangenen Nacht|30. Juni 2022 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|02. Juli 2022 - Tivoli Astrofarm]]

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Wieder am Bino-Dob. Leider habe ich technische Probleme mit den Motoren des Bino-Dobsons. Reinhold ist zur Stelle und versucht das Problem zu fixen. Thor‘s Helm entschwindet leider. Das erste Objekt, dass ich heute schauen wollte. Doof. 

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Wahrscheinlich habe ich heute morgen beim Abstöpseln des ~ArgoNavi ein Kabel beschädigt. Die Nacht beginnt mit 21.84 in der Coma Berenicis, wo sich die dunkelste Stelle am Himmel befindet. 

Reinhold ist weg. Also doch schnell einstellen...

[[NGC 2359 - Thor’s Helm]]: Uff. Mit den 17mm Naglern und OIII Filter werden gegenüber der Beobachtung mit 25 Zoll weitere schwächere Ausläufer sichtbar. Das Objekt gewinnt deutlich an Komplexität und zunächst vage sichtbare Details können leicht bestätigt werden. Ich bin sehr zufrieden.

Reinhold bringt mir eine neue Batterie. Bringt leider nichts. Egal. Handbetrieb ist angesagt. Funktioniert sehr gut. Leider bleibt der Dobson mit den schweren 17mm Naglern knapp nicht mehr in der Balance.

Ich bin jetzt mit dem Bino im Reinen. Jetzt finde ich alleine bei der Beobachtung die notwendige Ruhe, um die Dinge anzugehen. Schwierig ist einzig das gespiegelte Bild, dass aufgrund der Umlenkspiegel zustande kommt.

[[Äußerer Halo um Jupiter‘s Geist|NGC 3242 - Äußerer Halo im 24 Zoll Bino-Dobson]]: Der Halo kann indirekt leicht erkannt werden. Der helle V-förmige Kopf kann leicht direkt gesehen werden und die abgehende Fahne ist ebenfalls leicht indirekt auszumachen. Am Ende wieder heller werdend und diffus auslaufend. Wunderbar. Im 24 Zoll Bino-Dobson sehr einfach.

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Zuerst Andrew und später dann Mathias schauen sich Jupiter's Geist an. Andrew kann als Laie sogar den äußeren Halo erkennen, nachdem ich ihm die Position verraten habe.

[[Kohoutek 1-22|Kohoutek 1-22 im 24-Zoll Bino-Dobson]]: Diesmal sind bei geduldiger Beobachtung mit den 17mm Nagler‘n Strukturen in den helleren Innenschalen auszumachen. Die hellere südliche ist V-förmig mit hellem Knoten in der Spitze. Die nördliche etwas schwächer mit diffusem helleren Teil zur Mitte hin. Das Ganze eingebettet in einen diffusen unstrukturierten äußeren Halo. 

[[NGC 2442]]: Der Fleischerhaken. Schönes Objekt. Diffus und leicht strukturiert. Sternförmiges Zentrum mit diffusem, hellen Halo, der in einen Balken, der zum geschwungenen Galaxienkörper leicht versetzt verläuft und diffus nach Norden verläuft um in der Biegung zweigeteilt mit hellerer Kante abzuknicken. Diffus auslaufend bis zu einem helleren Feldstern. Nach Süden - vom Zentrum ausgehend zunächst etwas heller werdend um dann einen diffusen Bogen zu bilden. In der Mitte des Bogens außerhalb diffuser Fleck. Beeindruckend. 

''M83'': Wahnsinn! Beste Objekt für das Gerät überhaupt! Mit 12 mm Nagler fast das komplette Gesichtsfeld ausfüllend. Feinste Details in den Spiralarmen sichtbar mit Knoten und Fetzen. Ich halte von Aussagen „wie auf einem Foto“ nichts. Aber hier trifft es zu. Unglaublich.

Mathias möchte den NGC 5189 sehen. Kenne ich schon. Denke ich.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/Vrr0Q9" title="Untitled"><img src="https://live.staticflickr.com/65535/48162741717_db2a2cd5f8_k.jpg"></a>

[[NGC 5189|NGC 5189 im 24 Zoll Bino-Dobson]]: Ebenfalls sehr schön. Mit 12mm Naglern zeigt sich ein sehr komplexes Objekt mit hellen Kanten in der Mitte. Form verschlungen. Mittig wie ein Haken mit Unterbrechungen. Im Umfeld weitere Nebelfetzen, die alle schon ohne Filter zu sehen sind. Nur der Nebel um einen recht hellen Stern wird mit OIII sichtbar. Vom OIII profitieren auch die anderen Nebelteile insbesondere in den Außenbereichen. Es zeigt sich zudem, dass die Vermutung, dass der schwache Halo nicht rund ist, sondern oval und nach Westen bis Südwesten hin abgeschnitten ist. Die Strukturen in der Mitte sind sehr hell und zeigen selbst fasrige Strukturen.

[[IC 5148|IC 5148 im 24-Zoll Bino-Dobson]]: Äußere Schale rund bis leicht oval und diffus, aber gut begrenzt. Innere Schale eckig mit abgerundeten Ecken. Fließende Formen, so daß man flüchtig auf eine ovale Innenschale kommen könnte. Gegenüberliegende lange Seite heller mit jeweils einem Knoten, symmetrisch versetzt, nicht ganz in der Mitte, gegenüber liegend.

21.80 misst das SQM-L an der dunkelsten Stelle am Himmel, die sich momentan nordwestlich von Arktur befindet. Die Transparenz ist heute wieder sehr gut im Gegensatz zu gestern. Nur noch +4° C. Das SQM-L sagt hingegen +2° C. 

Die ''NGC 6967 - Gruppe aka „Teufelsmaske“'' wird von mir noch mal angesteuert. Doch gegenüber dem 25 Zöller zeigen sich keine neuen Details. Habe den Eindruck, dass alles etwas heller ist, aber der Eindruck ist subjektiv.

M13: Steht schon sehr tief. Mathias will den „Propeller“ sehen. Ja, ist natürlich zu erkennen. Schön.

Jetzt kommt der Sturmvogel aka ''NGC 6960''. 21.9 um 05:00 Uhr WAT. Ich bin vielleicht 1.5 h mit der Zeichnung zu Gange. Anschließend geht es zum Morgenhimmel, an dem das Zodiakallicht schon mächtig hell trohnt. Zuerst der ''„Totenkopfnebel“''. Schließlich kommen mich immer mehr Leute besuchen. Ich zeige den Zirrusnebel und gegen Morgen dann ''NGC 55'' und den ''„Silver Dollar“''. 

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/Z8Fk33" title="DSC04776"><img src="https://live.staticflickr.com/65535/48062073938_91b51935a7_k.jpg"></a>

Sehr beeindruckend die beiden Galaxien im 24 Zoll Bino-Dobson. Trotz Handbetrieb war das wieder eine Super-Nacht. Die Dämmerung setzt ein und bis ich den Dobson verstaut habe dauert es eine Weile. Doch dann geht auch der Mond unter der hellen Venus auf. Ich werde mit einer tollen Dämmerung belohnt.

[[<< Zurück zur vorangegangenen Nacht|31. Mai 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|02. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/93172e"><img src="https://live.staticflickr.com/7881/32633892097_bc2ebc9fc0_k.jpg"></a>Blick zur „Konkurrenz“ bei Athos, die sich 200m tiefer schon für die Nacht vorbereitet.

Einen ganzen Tag Landregen. Daher gestern auch nicht beobachtet. Gegen Mittag wird es besser und am Nachmittag zeigen sich erste Wolkenlücken. Gegen Abend klart es dann auf. Ist aber zunächst keine sichere Sache, denn kurz vor der astronomischen Dämmerung nieselt es noch. Doch dann sind die Wolken weg bzw. tummeln sich in größeren Höhen. 

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/ct1283"><img src="https://live.staticflickr.com/7868/46852515324_ab3855fc86_h.jpg"></a>Die Podona lugt oben zwischen den Bäumen hervor.</div>

Das wird eine wunderbare Nacht. Einzig der Wind stört. Ruckelt am Teleskop. Erstes Objekt ist heute Minkowski 3-1, der ja auf Wiedervorlage aus dem Januar war. 

[[Minkowski 3-1]]: Schon bei 65 fach verdächtig, denn etwas größer und diffuser als die umliegenden Feldsterne. Bei 430 fach immer noch sehr hell. Es zeigen sich drei bis vier helle, z.T. sternartige Knoten. Spontan denke ich an das „Einsteinkreuz“. Bei 800 fach dann eindeutig: In Momenten besten Seeings zeigen sich die sternartigen Knoten, die zu einem windschiefen Kreuz angeordnet sind. Der Nordwestliche und der gegenüberliegende Südöstliche sind am hellsten. Die anderen beiden schwächer. Filter nicht probiert, da hell genug. Seeing 1-2. SQM-L 21.8 im Zenit.

Vor ein paar Tagen hatte ich mir die Antennengalaxien angeschaut. Ganz in der Nähe steht NGC 4027, die auch einen schwachen Begleiter hat und auch unter der Bezeichnung Arp 22 firmiert.

[[NGC 4027]]: Leicht auffindbar, da in der Nähe eines hellen Sterns gelegen. Kann bis 430 fach vergrößert werden. Optimal sind hingegen etwas weniger, nämlich 290 fach. Es zeigt sich eine Balkenspirale mit immer wieder aufblitzendem sternförmigen Zentrum, welches hell in den Balken ausläuft. Nördlich und südlich abgehende diffuse Arme. Nördlicher ist deutlicher und geht etwa doppelt so weit vom Zentrum weg wie der südliche. Darüber hinaus wird er zum Ende hin heller, welches leicht gebogen aber parallel zum zentralen Balken liegt. Der südliche ist am hellsten, wo er auf den Balken trifft und läuft diffus und rund bis oval bis zur gegenüberliegenden Seite aus. Abseits, kaum erkennbar, zeigt sich zigarrenförmig, gleichförmig und ohne Struktur der Begleiter NGC 4070A.

Ich schwenke nochmal zu den [[Antennengalaxien|NGC 4038 & 4039 - Antennengalaxien]], denn ich möchte ein Detail, dass ich vor ein paar Tagen gesehen habe, nochmal verifizieren. Das SQM-L klettert auf 21.88 im Zenit. Der Himmel im Norden ist zwar von Baumgruppen verdeckt. Er scheint aber insgesamt dunkler zu sein. Richtung Süden fällt er denn auch auf hohe Werte um 21.6. Heute ist Los Llanos auch zu sehen. Das war bei der letzten Nächten nicht so. Offenbar reduziert die Lichtverschmutzung auch hier die möglichen SQM-L Werte. Dennoch ist ab Mitternacht kaum bis nichts mehr zu erahnen. Ein toller Himmel.

Mit +5 °C ist es wieder frisch. Normalerweise werden hier im Winter solche Temperaturen morgens erreicht. Der Wind aus Nord macht die Sache nicht einfacher. Mittlerweile geht es auf 02:00 Uhr zu bzw. 01:00 UT. Das Seeing ist jetzt wieder Top. Das war es zuvor über bestimmt zwei Stunden nicht mehr. Vielleicht lag es am Wind, der jetzt nachgelassen hat. Ich bin sehr froh, dass es diese Nächte trotz Tiefdruckgebiet hier gibt. Auf dem Roque ist alles dicht. Und Minustemperaturen seit Tagen. Heute morgen gab es Schnee. Wahrscheinlich ist die Zufahrt ohnehin gesperrt. Ist auch egal. Hier unten gibt es sehr guten Himmel.

Im Norden blitzt es wie vor ein paar Tagen. Morgen dann wieder Regen, auch nachts. Also Pause. Dann mal sehen. Vielleicht werden es auch zwei Tage. Jetzt geht es erstmal weiter. Nächstes Objekt ist eine Superthin-Galaxie.

[[NGC 5170]]: Schöne, rechte dünne Nadel. Zentrum hell, aber nicht sternförmig, sondern rund, diffus und zu den Achsen hin auslaufend. Mittig ist ein Staubband zu erkennen, dass aber nur teils, d.h. ca. ein Drittel des Galaxienkörpers mittig verfolgt werden kann. Ausläufer ohne weitere Strukturen aber im südlichen Ende ist eine Sternengruppe zu erkennen und blickweise liegen zwei Sterne im bzw. knapp neben dem auslaufenden Ende.

Als ich die Zeichnung beendet habe, sehe ich plötzlich eine andere Galaxie im Gesichtsfeld nahezu mittig. Es ist NGC 5247.

[[NGC 5247]]: Schöne Spiralgalaxie in Draufsicht. Auf Anhieb sind zwei Arme zu erkennen. Einer geht nach Norden und der andere nach Süden ab. Sternförmiges Zentrum. Der südliche Arm zeigt an seinem Ende einen sternförmigen Knoten. Dies soll eine HII-Region sein. UHC-Filter wirkt kaum. Nördlich der HII-Region ist der Spiralarm nahezu unterbrochen, zeigt dann aber eine länglichen, helleren Knoten ohne weitere Strukturen. Schönes Objekt. 

Der Wind ist jetzt komplett weg. Sehr angenehm. Perfekte Nacht. Gegen drei Uhr morgens ist ein Wagen von der Llanos de las Animas heruntergekommen. Doch jemand von den Kollegen oben gewesen. 

[[NGC 4710]]: Helle, recht kleine Galaxie. Kann stark vergrößert werden. In meinem Fall 430 fach. Es zeigt sich eine Galaxie in Kantenlage mit hellem ovalen Zentrum ohne Helligkeitszunahme zum Zentrum hin. Abseits des Zentrums scheint der Galaxienkörper auf beiden Seiten unterbrochen, um im Anschluss wieder zuzulegen. Offenbar sorgt ein Staubband für die „Unterbrechung“ zu beiden Seiten. Bei geduldiger Beobachtung scheint auch ein Staubband das ovale Zentrum auf der Achse hin zu teilen, denn es scheint indirekt, immer wieder blickweise dunkler zu sein. 

Dies war auch das letzte Objekt, denn das Okular ist wieder mal beschlagen. Offenbar zieht eine Wolke durch. Der Westhorizont wird auch heller. Die Wolken sind wohl da. Ich stelle noch ein paar Schaustücke des Sommers ein und dann ist es schon zugezogen. Vorbei ist die Nacht. Heute ist Regen angekündigt. Morgen dann evtl. klar für ein paar Stunden und Freitag spätestens geht es wohl wieder richtig weiter. 

[[<<Zurück zur vorangegangenen Nacht|31. März 2019 - La Palma]] | [[Weiter zur nächsten Nacht >>|04. April 2019 - La Palma]] 

Wieder auf der Wasserkuppe. Es ist klar.  Temperaturen wieder unter dem Gefrierpunkt, d.h. die ganze Nacht über um -4 °C. Diesmal kein Wind. Deshalb sehr angenehm. 

Erstes Objekt ist [[NGC 660]]: Sehr große Balkenspirale, die zunächst recht unscheinbar daherkommt. Zunächst zeigt sich auf den ersten Blick ein heller diffuser Balken. Mit indirektem Sehen werden dann die abgehenden diffusen Spiralarme sichtbar. Am besten beobachtbar bei 168 fach. Kann sogar höher vergrößert werden auf 290 fach. Dann zeigt sich der Kern Blickweise strukturiert. An seinem nördlichen Ende wird auch ansatzweise immer wieder das den Kern streifende Staubband sichtbar. Es zeigt sich nicht eindeutig als solches sondern lediglich als Fehlstelle. 

Auch so ein Objekt des Monats auf [[Astrotreff.de|http://www.astrotreff.de/topic.asp?TOPIC_ID=202695]].

__[[IC 342]]__: Sehr große und diffuse Galaxie. Zunächst wird ein recht heller, runder bis leicht ovaler Galaxienkern sichtbar. Dann nach geduldiger Beobachtung werden einige Spiralarme sichtbar. Der hellste Spiralarm geht vom Kern Richtung Norden und findet sich kreisförmig um den Kern. Galaxie liegt im reichen Sternfeld und so werden immer wieder vermeintliche Spiralarme vorgetäuscht. Lediglich bei der markanten Sternkette südwestlich scheint der Hintergrund heller als bei vergleichbaren Sternketten. Hier geht ein diffuser Spiralarm durch. Südlich relativ auffälliger runder Knoten. Östlich weiter relativ gut erkennbarer Spiralarm Nord-Süd verlaufend. Insgesamt erscheint die Galaxie sehr diffus und erinnert sehr stark an M33. Sehr interessante und schöne Galaxie.

<div class="tc-link-info-item-flex-35" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31271591122/in/datetaken/" title="Untitled"><img src="https://c3.staticflickr.com/6/5341/31271591122_d07f639af5_c.jpg"></a>
Barnard's Loop mit dem 10x50 Feldstecher auf einem Stativ.</div>

''[[Sh2-276 - Barnard's Loop]]:'' Heute habe ich eine Beobachtung mit dem Feldstecher zusammen mit zwei Zoll Filtern versucht. Links war der Astronomic UHC Filter auf die Frontlinse aufgelegt und rechts der Lumicon H-Beta Filter. Dabei kann das hellste Stück von Barnard's Loop Nordöstlich von M78 recht gut erkannt werden. Störende Sterne können ausgeschlossen werden, da sich der Nebel zwischen zwei Sternenketten befindet und im Bogensegment keine nennenswerten hellen Sterne stören. Das Segment lässt sich bis auf Höhe der Gürtelsterne weiter verfolgen, wobei dieses allerdings schwächer ist. Insgesamt zeigt sich somit ein ähnlicher Eindruck wie mit bloßem Auge. Bei der Beobachtung mit bloßem Auge ist tatsächlich die einäugige Beobachtung auffälliger mit H-Beta. Am Feldstecher konnte dieser Eindruck so nicht bestätigt werden. 

__Kommentar:__ Im [[Astrotreff.de|http://www.astrotreff.de/topic.asp?TOPIC_ID=203989&whichpage=1]] gab es dazu unterschiedliche Ansichten. Es scheint, dass die Beobachtungstechnik entscheidend ist und die beidäugige Beobachtung doch der einäugigen vorzuziehen ist. Aber das kann jeder mal selbst ausprobieren!

Mit 14 Zoll und 40 facher Vergrößerung sowie H-Beta Filter wird Barnard's Loop leicht sichtbar. Einfaches Schwenken auf Höhe von M78 reicht aus, um den Nebel sehr leicht zu sehen. Es zeigt sich sogar, dass er zur Mitte hin heller wird und an dieser Stelle ein lang gezogenes „S“ beschreibt. Lässt sich nach Süden hin ebenfalls fortsetzen, wird dabei aber deutlich schwächer. Im Grunde zeigt sich das gleiche Bild wie mit bloßem Auge, d.h. der Nebel ist bis auf Höhe der Gürtelsterne sehr gut sichtbar. Man kann von hier aus versuchen ihn weiter zu verfolgen, wobei dieser immer schwächer wird, bis man schließlich zu Saiph gelangt. Wo der Nebel genau aufhört bleibt unklar. Man hat aber den Eindruck, dass er schwächer werdend bis zu diesem Stern reicht. Zwischen Saiph und Rigel werden auch immer wieder von Ost-West verlaufende Nebelfetzen sichtbar. Sie werden sichtbar etwa auf der Höhe von M42 in Richtung Rigel. Es empfiehlt sich einfach die Gegend zu scannen und sofern man ein Nebelteil identifiziert hat, die Position im Sucher zu überprüfen. So bekommt man ein Gefühl, ob man richtig liegt oder nicht.

__[[Palomar 2]]__: Bei 65 fach nicht zu erkennen. Bei 114 fach wird dann sehr einfach ein kleiner runder Nebelball sichtbar. Deutlich dunkler als im 18 Zöller vor einigen Tagen. Steht in der Nähe eines Doppelsterns.

__[[Palomar 1]]__: Am Besten bei maximaler Austrittspupille zu erkennen, d.h. bei 65 fach. Bei 114 fach auch Blickweise wahrnehmbar, aber nicht so gut. Es zeigt sich ein runder Nebel zwischen einem Doppelstern und einem Stern. Scheint diese fast zu berühren. Sieht eher wie ein kleiner planetarischen Nebel aus.

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/30594533204/in/datetaken/" title="Untitled"><img src="https://c5.staticflickr.com/6/5534/30594533204_538374f763_z.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Blick auf die Wasserkuppe.</div>

__[[HCG 55]]__: Bereits bei 114 fach zeigt sich ein länglicher, unruhiger Nebel. Bei 290 fach zeigt sich nach geduldiger Beobachtung ein sehr lang gezogenes "S", das aus einer Reihe von Knoten besteht. Am hellsten im Mittelteil dunkler an den Enden. Schätzungsweise 4-6 Knoten auszumachen. Leider können Sie nicht gehalten werden, so dass sie nicht direkt abzählbar sind. Trotzdem ist die Struktur des Objekts als solches erkennbar.

__[[Palomar 3]]__: Sehr schwacher KS. Geradeso zu erahnen. In direkter Nachbarschaft zu einem schwachen Stern. 114x.

Die Wintermilchstraße steht kurz vor dem Untergang. Es ist kurz vor 6:00 Uhr. Der Löwe steht hoch am Himmel. Wieder eine perfekte Nacht, wobei der Himmel am Ende doch etwas eingebrochen ist. SQM-L Werte um 21.36. Der Himmel wirkt seifig. Vertrete mir noch mal die Beine und werfe einen Blick auf die Gebaüde der Wasserkuppe. So muss es sein! Kaum warnehmbare Lichtverschmutzung und der Anblick der wenigen Lichtquelle stört die Dunkeladaption kaum. Auf dem Foto scheint dies nicht so zu sein, aber es sei an dieser Stelle gesagt, dass es mit ASA 6400 und 10 sec Belichtungszeit bei Blende 1.8 aufgenommen worden ist.

Als ich das Auto geparkt habe und auf dem Weg ins Hotel bin, sehe ich noch die Morgendämmerung im Osten.

[[<<Zurück zur vorangegangenen Nacht|29. November 2016 - Wasserkuppe]] | [[Weiter zur nächsten Nacht>>|03. Dezember 2016 - Wasserkuppe]]

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/nR0o57"><img src="https://farm5.staticflickr.com/4869/39713812053_aec7b2e9ec_h.jpg"></a>Sternbilder: Links oben der Löwe. Rechts oben der Große Wagen. Unten der Große Hund und der Orion.</div>

Morgen Nacht bewölkt. Aber heute noch mal klar. Übermorgen dann auch wieder. Bin nicht unglücklich darüber. Bin heute spät dran. Verpennt. Komme zunächst wieder am Parkplatz vorbei. Der Camper ist weg. Habe ich schon vermutet als ich sie heute mit dem Bürgermeister im Hotel essen gesehen habe. Super. Hier oben weht heute ein leichter Wind, der gestern von der Wiese aus auch zu hören war. Luftfeuchte sensationelle 30%. Temperatur angenehme +3° Celsius. Ob es auf der Wiese auch so trocken ist? Lt. der „Kompass“ App des IPhone sind es heute 1800m üNN (was stimmt). Auf der Wiese 1730m üNN. Ob das den Unterschied macht zwischen in der Inversionschicht und drüber zu sein. Kann sein. 

Der Platz ist sehr gut, obwohl das Dorf 300m tiefer liegt und Luftlinie bestimmt max. einen Kilometer entfernt ist. Von hier oben sind die Lichtglocken leider viel deutlicher zu erkennen. Valencia und Zaragossa. Madrid hingegen kaum. Es ist eben auch immer eine Frage wo man gerade steht. Wie hoch die Kimmhöhe ist ect. 

''46P/Wirtanen'' ist immer noch mit bloßem Auge sichtbar. Habe aber den Eindruck, dass er schwächerer wird. Es ist 20:30 Uhr und ich sollte mal endlich anfangen.

Danach geht zum Mars. Aber wie gestern nix definitives zu sehen. Der Planet ist auch wieder hell. Dazu müsste ich den Graufilter suchen und verwenden, wozu ich aber keinen Bock habe. Es geht schließlich weiter zu NGC 1097. Heute ist die Galaxie mit dem Teleskop erreichbar. Komisch. Zuvor bin ich in einem falschen Sternendreieck in der Nähe unterwegs und sehe NGC 1255 und bin schon enttäuscht bis ich erkenne, daß ich falsch bin.

''NGC 1255'': Zunnächst ovale, unscheinbare Galaxie mit sternartigem Zentrum. Bei 290 fach zeigt sich ein zentraler, kurzer Balken, und nach geduldiger Beobachtung, Spiralarme, die mit dem Balken ein Dreieck bilden. Im Außenbereich bis auf den diffusen Glow nix eindeutiges zu erkennen.

NGC 1097: Riesig im Vergleich zu 1255. Helles, ovales Zentrum mit zunächst auf dem Rand sternartigen Knoten, die auch im Innern zu erkennen sind. Das ist mir dieses Jahr schon in Namibia aufgefallen. Zunächst außer dem Begleiter 1097A und dem hellen Zentrum plus Balken nix zu sehen. Mit der Zeit zeigen sich aber verschiedene Details. An den Enden des Balkens helle Knoten. Insgesamt drei Spiralarme mit einigen helleren Segmenten sind nach geduldiger Beobachtung zu erkennen. Das Seeing ist trotz den niedrigen Standes ausgezeichnet.

Danach um ca. 22 Uhr kommt Roque Feeling auf. Der Himmel ist plötzlich deutlich transparenter und mangels freiem Zenit muss ich um Polaris messen. 21.84 mit dem SQM-L!! Hallo? Im Nordwesten, wo der Himmel streulichtfrei ist, wird das horizontnahe Airglowband sichtbar. Der Wind weht auch kräftig, tangiert mich aber nicht. Die Bäume rauschen jedoch schön! Beste Nacht bisher! Frage mich, ob es auf meiner Wiese auch so trocken ist. Sind immerhin 70m tiefer. Vermutlich ist es da auch so. 

!!Weinberger-Dengel 1

[[Weinberger-Dengel 1]]: Großer PN am Kopf des Orion. An der richtigen Position kann ich mit 40 facher Vergrößerung und OIII direkt einen runden Nebel erkennen. Ganz einfach. Steigerung auf 65 fach zeigt den Nebel auch gut. Filterwechsel zu UHC. Ist noch besser zu erkennen. Filter raus. Ist sogar bei 65 fach (AP=6.5mm) leicht zu sehen. OIII funktioniert schlecht. Mit UHC weiter auf 114 fach vergrößert. Dann lassen sich die schwachen Sternketten alle gut separieren und ohne jeden Zweifel erscheint der Nebel, wobei die Westseite deutlich heller ist und eine relativ scharfe, hellere Kante bildet, die zwar mit Sternen durchsetzt sind, diese aber zu schwach sind, um die Kante nur vorzutäuschen. Östlicher Teil ebenfalls gut begrenzt und viel schwächer. Nach Süden scheint der Nebel fast zu verschwinden. Lediglich mit max. AP erkennt man aber, dass dem nicht so ist, da sich dann stets ein runder Nebeleindruck zeigt. Hier stören auch keine Sternketten, so daß dies sicher gesehen werden kann. Die 114 fache Vergrößerung zeigt zudem, dass der Nebel im Innern definitiv dunkler ist. Und bei geduldiger Beobachtung bei 65 fach ist dies auch erkennbar. Die westliche helle Kannte läuft zu dem nach Innen hin diffus aus. SQM-L 21.82 im Zenit.

Ich habe als erstes gedacht, dass ich ich in der Position geirrt habe und hier irgendwas helles erwischt habe. Ist aber nicht so. Schon unglaublich was man unter einem dunklen Himmel alles so sehen kann. Bin irgendwie völlig von der Rolle.

Weiter geht es mit Minkowski 3-1. Wenn NGC 1097 geht, dann dieser PN wohl auch. Geht gerade so mit dem Dobson.

''Minkowski 3-1'': Kleiner runder Nebel. Kaum von den Feldsternen zu unterscheiden. Leider steht er nur 17° über dem Südhorizont. Es zeigt sich jedoch ein Nebel mit zwei hellen Knoten, die sich fast nord-südlich gegenüberliegen. Sonst ist nichts weiter zu erkennen. Manchmal habe ich den Eindruck ein winziger Ring zeichnet sich ab. Dies bleibt aber unsicher.

Minkowski 3-1 kommt auf Wiedervorlage für April. Denn da bin ich auf La Palma und das Objekt steht da nochmal 10° höher, genauer 12° sogar.

Das SQM-L bricht wieder ein. 21.56. Entweder ist jetzt wieder die Batterie hinüber oder es ziehen Zirren durch. Vorgestern waren es Zirren. ~ElTiempo.es meldet eine Wolke! Die nächsten dann um 05:00 Uhr. Da kommt die Vorhut des  angekündigten Wolkenbandes, dass die nächste Nacht die Beobachtung vermutlich ausfallen lässt. Plötzlich ist es windstill. Unheimlich. Temperaturen jetzt knapp unter Null. Luftfeuchte bleibt unter 40%.

[[Peimbert-Batiz 1]]: Winziger Nebel. Selbst bei 290 fach nicht direkt von den Feldsternen unterscheidbar. Bei 430 fach zeigt sich, dass die Ausdehnung etwas größer ist als bei gleich hellen Sternen. Wenn das Seeing gut wird und die Sterndurchmesser schrumpfen, dass Beugungsbild bei hellen Sternen sichtbar wird, dann zeigt sich in dem runden Nebelball ein unscheinbarer, aber sehr gut definierter, kleiner Stern. Vergrößere noch auf 900 fach, aber im Prinzip kann ich nichts neues erkennen, außer, dass der ZS jetzt noch deutlicher zu erkennen ist. Das Ganze ist nur nach einer Wartezeit zu sehen, denn alle Sterne sind etwas aufgeblasen und nur wenn es das Seeing für einen Moment zulässt, schrumpfen sie für kurze Zeit. Seeing 2-3.

So die Zirren sind wohl weg. Es werden wieder 21.82 erreicht. Mit bloßem Auge alles schwierig nachzuvollziehen. Am Besten jedoch am Ende des Airglowbands, denn dies ist nur „wie abgeschnitten“ bzw. mit kurzem Übergang zu sehen, wenn es richtig transparent ist. Anders herum scheint es einfacher zu sein, d.h. wenn die Transparenz schlechter ist, da das Airglowband dann ca. 5° höher zu reichen scheint.

!!Jetzt wird es doch wieder kalt. -3° Celsius. Zum Glück bleibt die Luftfeuchte bei 37%.

[[NGC 2440 - Insektennebel]]: Schon sehr hell und länglich bei 65 fach. Kann bis auf 900 fach vergrößert werden. Zunächst zeigt sich mittig ein liegendes „U“, dessen Kanten heller sind. Parallel dazu in geringem Abstand zu beiden Seiten diffuse, hellere Knoten. Der Nebel ist NO-SW ausgerichtet. Am südwestlichen Ende taucht ein schwacher Knoten auf. Gegenüberliegend nicht. Hier gehen zwei kurze, diffuse „Beine“ ab. Die beschriebenen Strukturen sind alle in einen diffusen, hellen Nebel eingebettet. Insgesamt hat man wirklich den Eindruck, dass es sich um ein Insekt handelt.

[[NGC 2610]]: Schon bei 65 fach als abgehende „Fahne“ an einem Stern sichtbar. Kann ohne Probleme bis auf 430 fach vergrößert werden. Zunächst zeigt sich einfach ein ovaler Nebel. OIII funktioniert schlecht. UHC besser. Dann kann man schließlich auch einen Ring erkennen und sogar zwei kurze hellere Teilstücke. Ohne Filter wird bei Momenten perfekten Seeings der ZS ganz fein und schwach sichtbar. Dieser kann indirekt für zwei-drei Sekunden gehalten werden, vermutlich solange bis das Seeing wieder einbricht, denn das tut es heute öfters und auch längere Zeit.

Während der Beobachtung höre ich ein recht lautes Knacken im angrenzenden Wald. Da will mich doch nix besuchen? Ich mache mich unfreundlich bemerkbar, so als ob ich ein Tier sei 🦍. Klappt zunächst gar nicht, denn ich höre schon ein Schnauben. Dann reagiere ich nochmal und schließlich wird es wieder ruhig. So 05:10 Uhr. Noch was anfangen. Was sagt die Liste in ~SkySafari? Nix mehr da. Oh doch. Kohoutek 1-22 kriecht wenige Grad über dem Horizont im Süden lang. Der gehört doch in die Namibia Liste! Da landet er auch direkt. Blöd. Ist schon drin gewesen. Ich habe jetzt Bock M51 zu gucken.

Gestern habe ich, um das Maximum mit dem 14 Zöller bei den PNs herauszuholen, sogar für jeden PN neu kollimiert. Also auf die entsprechende Höhe abgestimmt. Ich weiß nicht ob das wirklich was bringt, habe es aber mal gemacht. Heute zunächst nicht, für NGC 2440 und 2610 aber schon. Nicht einzeln, sondern für die ungefähre Höhe. Gestern sogar für jeden PN neu. Verrückt oder?

Das SQM-L sagt zum Schluss 21.78. Der Himmel scheint im Zenit auch nicht richtig dunkel zu sein. Ist wahrscheinlich schon die Vorhut der angekündigten Bewölkung. -4° Celsius und 40% Luftfeuchte. Trotzdem kalt. So, Abmarsch. Und morgen hoffentlich eine Nacht Pause.

[[<<Zurück zur vorangegangenen Nacht|01. Januar 2019 - Muela de San Juan]] | [[Weiter zur nächsten Nacht >>|03. Januar 2019 - Muela de San Juan]] 

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/66162i" title="Untitled"><img src="https://live.staticflickr.com/65535/52195784356_690d11b4f3_h.jpg"></a>Mathias ist am werkeln. Die nördliche Sommermilchstraße kümmert das nicht. Sie zieht einfach im Norden ihre Bahn.</div>

Klar, wenngleich nicht mit optimaler Transparenz. Deutlich wärmer als die letzten Nächte und trockener auch. 21.87 messe ich im Mittel mit dem SQM-L. Gut. Erstes Objekt ist Henize 2-37. Leider handelt es sich um eine Doppelbeobachtung, denn den PN hatte ich bereits vorgestern beobachtet. Aber so ist das in dem ganzen Chaos und den vielen klaren Nächten. Da kann man schon mal durcheinander kommen.

Zweites Objekt stammt von Mathias: NGC 5746 aka „Dustlane-Galaxie“.

![[NGC 5746]]

Kleine Version von NGC 4565. Kann bis auf 454x vergrößert werden. Es zeigt sich ein stellares Zentrum mit Bulge. Staubband ist sehr schön zu erkennen. Am nördlichen Ende ist ein helleres, diffuses Segment sichtbar. Südlich ebenfalls, allerdings mit stellarem Kern (oder doch Vordergrundstern ?). Am südlichen Ende sind zu dann zwei schwache Sterne und ein hellerer erkennbar.

Das Seeing ist heute nicht so gut. Schätze 3 auf einer Skala von 1-5.

![[RCW 86]]

Im reichen Sternenfeld der südlichen Milchstraße zu finden. Optimale Vergrößerung ist 178x. Dann wird ein sichelförmiger Nebel sichtbar. Mit OIII-Filter deutlich sichtbar. Ohne aber auch, wenngleich nur weniger deutlich. Von der Mitte etwa nach Süden breiter und heller werdend. Versprengter Nebelteil etwas abseits.

!Palomar 15

Runder, diffuser Glow. Am besten bei 125x zu erkennen. Am Rand sind einige schwache Sterne zu erkennen. Unklar ob sie zum Haufen selbst gehören oder nicht. Relativ schwer, trotz bestem Himmel. Lässt sich indirekt allerdings sicher halten.

![[Terzan 6]]

Deutlich schwieriger als Palomar 15. Rundes, sehr schwaches Glimmen, direkt neben schwachen Stern. Keine Einzelsterne zu erkennen. Kann indirekt nicht gehalten werden, blitzt aber immer wieder sicher auf.

!He 2-292

Kleiner, runder Nebel kaum größer als die umliegenden Sterne. Kann aber sicher mit OIII heraus geblinkt werden. Keine Struktur, müsste höher vergrößert werden, was aber aufgrund des Seeings nicht geht. 670x.

!Wray 16-310

Ebenfalls winziger, ovaler Nebel, aber sehr gut von den umliegenden Sternen zu unterscheiden. Kann ebenfalls mit OIII herausgeblinkt werden. Zeigt entlang der längeren Halbachse bipolare Auswürfe. Diese sind am besten mit Filter zu sehen, aber auch ohne. Interessantes Objekt.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/f3TG9s" title="Untitled"><img src="https://live.staticflickr.com/65535/52198151360_4d2f3e099b_k.jpg"></a>

Ich vervollständige noch die Zeichnung zu NGC 1365. Dann schaue ich noch mal nach NGC 55. Steht mittlerweile fast im Zenit und ist brutal hell. Letztes Objekt ist NGC 300. Mega! +2° C diese Nacht. 

Die folgenden Nächte ist es leider bewölkt und die darauf folgende ebenfalls. Bitteres Ende?

[[<< Zurück zur vorangegangenen Nacht|01. Juli 2022 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|04. Juli 2022 - Tivoli Astrofarm]]

<div class="tc-link-info-item-medium" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/9z8nM9" title="DSC03980"><img src="https://live.staticflickr.com/65535/48145566956_291cbf42b1_h.jpg"></a>Wer schläft denn da?</div>

Letzte Nacht am Bino-Dob. Heute werden noch interessante Objekte angefahren.

''Thor's Helm'': Ich überprüfe noch mal die Zeichnung. Ein weiteres schwaches Detail kann ich mit 31mm ausmachen.

[[NGC 2442]]: Heute viel besser, da höher stehend. Nahe dem Zentrum kann ich einen sehr schwachen Stern ausmachen. Am Ende des Spiralarms zeigt sich eine stellare Aufhellung. Weitere Feldsterne in Galaxiennähe werden ebenfalls sichtbar. Die Transparenz ist heute deutlich besser.

22.05 messe ich um 21:30 Uhr in der Coma Berenices. Zusammen mit Mathias surfe ich durch die Südliche Milchstraße. 

Wir schauen uns den „Running Chicken“-Nebel an. Dann schlage ich die Antennengalaxien vor. Die Antennen sollten doch heute aufgrund der Super-Transparenz gehen oder etwa nicht? Ich stelle am 24 Bino mit 31mm Okularen die Antennen ein. Eine erkenne ich praktisch adhoc. Es handelt sich um die, die durch einige hellere Sterne geht. Sie scheint mir sehr einfach zu sein. Die andere wird dann ebenfalls sichtbar und wird knapp neben einem schwachen Stern heller zu werden um dann wieder diffus auszulaufen. Mathias kann sie schließlich auch erkennen. Zuvor habe ich eine Skizze gemacht. 

!!Antennen mit 14 Zoll

Und dann versuchen wir bei Mathias das Ganze nachzuvollziehen. Ist bei AP 5.4mm schwierg, aber es klappt. Ich fertige eine neue Skizze an. Denn das Bild am Bino ist spiegelverkehrt zum Bild im normalen Newton. Beide Zeichnungen stimmen überein und Mathias bestätigt die Sichtung. Wahnsinn! 

!!Säulen der Schöpfung

Als nächstes geht es zu ''M16 und den „Säulen der Schöpfung“'': Mit den 31mm Okularen zeigen sich die drei Finger sofort. Die „Säule der Schöpfung zeigt sich am hellsten, d.h. der Hintergrund ist nicht ganz dunkel. An der Spitze hellere Schockwand. Die beiden anderen Finger sind „rabenschwarz“. Der längere schließt sich durch eine Querverbindung an. Der kurze hat keine Verbindung und steht allein. Alle sind länglich und am schmalsten ist der kleinste, gefolgt vom mittleren und am dicksten ist die „Säule der Schöpfung“. Mega!

Mathias bestätigt die Sichtung und Herrmann müht sich ab in M16 den Sternhaufen vom Nebel zu trennen. Die „Säulen der Schöpfung“ bleiben für ihn etwas „diffus“.

Ich bin wieder allein. Aber nicht sehr lange. Der 24“ Bino-Dobson zieht die Leute an. Die Temperatuten kreisen um +5 Grad Celsius. Mario ist der nächste. Möchte M83 sehen. Also wird er eingestellt. Dann folgt M104.

Ich bin noch mit Fotos beschäftigt. Ich brauche jetzt auch einen Kaffee im Häuschen. Die Zeit muss sein. 


<<<.tc-big-quote

!!Nebenan laufen die All Sky Aufnahmen...

...zu denen ich immer wieder rüber rennen muss. Bin jetzt bei f8 und 6.5 min Belichtungszeit angelangt. Hintergrund ist, dass die Sternabbildung mit größerer Blende einfach besser wird. Herausgekommen ist das hier.

!!Entwicklung des Airglows in einer Nacht

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48115785597/in/dateposted/" title="‪Evolution of horizontal airglow during the 2th of June 2019 from 22:30 until 06:20 WAT. After midnight the horizontal airglow appears greenish in the north (up) and reddish in the south (down).‬"><img src="https://live.staticflickr.com/65535/48115785597_b535a92fd2_k.jpg" alt="‪Evolution of horizontal airglow during the 2th of June 2019 from 22:30 until 06:20 WAT. After midnight the horizontal airglow appears greenish in the north (up) and reddish in the south (down).‬"></a>

__Erklärung:__ Ab Mitternacht nimmt das horizontnahe Airglow deutlich zu. Vor allem im Norden, wo es sich deutlich und im grünen Farbton zeigt. Im Süden hingegen, herrschen rötliche Töne vor.  Unten gibt es noch mal eine Auskopplung der Aufnahmen mit einer Aufnahme direkt während der Morgendämmerung. 

<<<

!!Bergfest ist durch

Die Hälfte der insgesamt 16 Beobachtungsnächte liegen hinter mir. Es sind jetzt nur noch sieben Nächte, die noch folgen. Nach ja 7.5, denn diese ist ja noch nicht rum.  

Als nächstes stelle ich Abell 4881 ein. Ein Galaxienhaufen im Sternbild Pavo. Er wird er auch Pavo-Galaxienhaufen genannt. Mit dem 31mm Okular werden ein bis eineinhalb Dutzend Galaxien im auslaufenden reichen Sternfeld der südlichen Milchstraße sichtbar. Zwei sind sehr hell. Insgesamt heben sich allerdings vier Galaxien deutlich gegenüber dem Rest ab. Herrmann und Mario schauen sich das Ganze ebenfalls an und sind begeistert. Weiter geht es zur Pavo Galaxie.

[[NGC 6744 - Pavo Galaxie]]: Bei 31mm als diffuse, fast runde und helle Galaxie erkennbar. Helles Zentrum, aber diffus und nicht sternförmig. Die Spiralarme sind erst bei geduldiger Beobachtung auszumachen. Am einfachsten ist der abseits abgehende östliche Spiralarm zu erkennen, denn er wird zum Ende hin auch heller. Insgesamt zeigt sich ein ovaler umlaufender Spiralarm, in dessen Mitte ein Balken mit dem Zentrum steht. Dieser verläuft nord-südlich. An diesen umlaufenden Spiralarm schließt sich nördlich ein diffuser Spiralarm an, der vom umlaufenden nicht getrennt werden kann. Nur ein heller diffuser Knoten deutet hier die unterschiedlichen Arme und Zugehörigkeiten an. Der hier abgehende bzw. vorbeigehende Spiralarm ist kurz unterbrochen. Etwas abseits steht schwierig sichtbar NGC 6744A ein Begleiter. Insgesamt zeigt sich die Galaxie diffus und schwierig zu beobachten trotz des 24 Zoll Bino.

Versuche Abell 70 einzustellen. Gelingt leider nicht. Suche mir einen Wolf. Wahrscheinlich zu schwach, um ihn adhoc einzustellen und zu finden. Weiter geht es mit NGC 247. Kann meine Entäuschung kaum unterdrücken. Die Galaxie ist sehr diffus und Strukturen adhoc schwer erkennbar, Leider steht die Galaxie im noch hellen Außenbereich des Zodiakallichts.  

Matthias kommt wie immer um diese Zeit am Morgen. Wir schauen uns NGC 300 an.

NGC 300: Helle diffuse Balkenspirale mit leicht hellerem, diffusem Zentrum. Vom Balken gehen entgegen gesetzt zwei Spiralarme ab. An der Biegung des einen zeigt sich ein auffälliger, diffuser, ovaler Fleck. Wunderschön!

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48087578388/in/dateposted/" title="Morning Glory"><img src="https://live.staticflickr.com/65535/48087578388_e566f6cd89_k.jpg" alt="Morning Glory"></a>

Mega Aufnahme! Während der bereits einsetzenden Dämmerung habe ich die oben stehende Aufnahme gemacht. Links das helle Zodiakallicht und rechts die bereits tief stehende Sommermilchstraße. Das rote bin ich 🤗 Das sind die Aktivitäten, um das Teleskop zu verstauen.

Matthias berichtet von einer 🛰  Satellitenformation, die er gerade beobachtet hat. Wir schauen in den Zenit und können sogar eine Kette von Satelliten beobachten, wo es sogar zu Überholmanövern kommt. Beeindruckend! Die Dämmerung setzt kurz später ein und wir gehen ins Bett.

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Klar mit abziehenden Zirren. Diese Nacht sollte wieder außergewöhnlich klar werden. Aber wieder knackig kalt, da Wind aufkommt. -4 °C und SQM-L Werte um 21.4. Bin heute wieder etwas später dran, da ich nachmittags noch etwas länger geschlafen habe. Der Mond ist da. Aber er soll um 20 Uhr verschwinden. Tut er auch :)

!Mathias ist wieder da...

Nach ein wenig Trouble beim Aufbauen bin ich dann startklar. Aus großer Entfernung werde ich von einem Autoscheinwerfer angeleuchtet. Will mich gerade NGC 7331 widmen, als das Fahrzeug recht schnell näher kommt und dann sogar auf mich zu. O. k., es ist wieder Mathias. Er steigt aus und hat heute kleineres Gerät dabei, d.h. einen 10 Zoll Dobson. Nach ein wenig Gequatsche widme ich mich schließlich NGC 7331:

__[[NGC 7331]]__: Bei 168 fach zeigt sich ein heller, länglicher Kern, der zur einen Seite hin bauchförmig ist. Zur anderen Seite hin ist er wie abgeschnitten durch ein Staubband. Hinter dem Staubband sind schwach Ausläufer der Galaxie zu erkennen. Nördlich ist am Galaxienende eine helleres Teilstück, offenbar ein Spiralarm erkennbar. Südlich abseits eines Vordergrundstern ebenso. Weiterhin sind vier kleine Galaxien in der Umgebung erkennbar, wobei NGC 7335 die hellste ist. Dann kommt NGC 7340. Die beiden anderen Galaxien sind ähnlich hell.

Es ist wieder deutlich kälter als gestern, da Wind aufkommt. Hatte mir bei der Beobachtungsession vor ein paar Tagen eine Frostbeule an der rechten Hand zugezogen. Zunächst wusste ich nicht was es ist und dachte es sei eine Prellung. Ich fragte mich natürlich geprellt aber an was? Aber jetzt, da es mir zum zweiten Mal passiert und Mathias mich darauf gebracht hat, ist es offensichtlich. Aber mit Handschuhen zeichnen gelingt mir halt einfach nicht. Aber ich passe auf, dass es nicht schlimmer wird.

__[[NGC 40]]__: Recht heller, runder Nebel bei 65 fach um einen Stern. Bei 420 fache zeigen sich zwei recht scharf begrenzte Schalen östlich und westlich. Westliche ist unterbrochen und endet kurz vor einem schwachen Stern. Im Inneren verschiedene heller Nebelsegmente.

!Luftfeuchte sinkt wieder auf 30%

Der Himmel wird immer besser. Die Milchstraße es eindeutig besser zu sehen als gestern, aber nicht so gut wie am Dienstag. Dennoch ist die Milchstraße bis runter zum Horizont zu erkennen. Ich versuche schließlich M79 im Lepus einzustellen, aber leider reicht das Teleskop nicht bis hinunter. Die Luftfeuchte sinkt wieder auf 30%

__[[NGC 2685 - Helix-Galaxie]]__: Zunächst zeigt sich bei 65 fach ein heller Balken einer Galaxie. Bei Steigerung der Vergrößerung auf 168 fach wird im hellen Balken ein helles rundes Zentrum sichtbar. Rechtwinklig zum Balken geht asymmetrisch auf Höhe des Zentrums westlich ein hellerer Bogen ab. Erst nach intensiver und langer Beobachtung erkennbar. Auf der östlichen Seite ist dieser deutlich kleiner und diffuser. Mathias bestätigt die Sichtung, und erkennt die Details sofort, ohne dass ich diese erwähnt hatte. Wir sind beide recht angetan.

Wir quatschen schließlich noch eine Weile und dann beschließe ich gegen 4:00 Uhr morgens einzupacken. Die Kälte hat mich zermürbt und morgen muss ich auch wieder zurückfahren. Wir betrachten noch mal gemeinsam den Sternenhimmel und die Milchstraße. Neben Sirius ist die Wintermilchstraße tatsächlich bis runter zum Horizont zu erkennen und sogar die Vielzahl der schwachen Einzelsterne auszumachen. Wunderbare Nacht! Mit dieser Nacht komme ich in diesem Jahr auf 37 Beobachtungsnächte. Ich hoffe es kommen noch ein paar dieses Jahr dazu.

Auf der Rückfahrt kurz vor Fulda erscheint die Landschaft bereits weihnachtlich.

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[[<<Zurück zur vorangegangenen Nacht|02. Dezember 2016 - Wasserkuppe]] | [[Zurück zum Artikel>>|Vier kalte Nächte auf der Wasserkuppe]]

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Komme am nächsten Morgen mit dem Wirt in Gespräch. Der gute Mann meint, es könne sich gestern um ein Wildschwein gehandelt haben. Ich war erst gegen 07:30 Uhr im Bett und war am Ende der Nacht erstaunt, wie die Leier, die man noch am Abend über dem Westhorizont sehen kann am Morgen nach sechs Uhr wieder am Osthorizont auftaucht. Die Wolkenbank zieht wie erwartet durch. Offenbar sollen sich die Wolken aber auflösen. Sehr gut!!! Doch keine Pause. 🤔

Ab 23 Uhr soll es aufklaren. Alles Schmarrn. Ab 20 Uhr ist es wieder super klar. Sehr kalt. Nacht beginnt mit -6.5° Celsius und 45% Luftfeuchte. Kein Wind. Alle Sterne stehen mit bloßem Auge komplett still. Sieht nach sehr gutem Seeing aus. Mal schauen.

''46P/Wirtanen'' ist immer noch freisichtig mit etwa 6 mag auszumachen. Er bewegt sich weiterhin recht schnell. Im Unterholz ist wieder was los. Greife ein. Mal sehen ob’s hilft. Vermute, dass die Tiere hier herum laufen, da es hier immer mal wieder Essensreste gibt.

Erstes Objekt ist ''//Weinberger 1-1//'': Obwohl in der Cassiopeia gelegen ist die Position des Nebels in einem sehr sternarmen Gebiet gelegen. An der richtigen Position ist aber trotz Einsatz eines OIII und UHC-Filters nichts zu erkennen. Da ist einfach nichts. Ohne Filter blitzen hin und wieder an der richtigen Position ein bis mehrere Sterne auf. 

!!Das Seeing ist heute wieder gut. Trotzdem tanzen die Sterne bei 900 fach langsam um ihre Position. 

Habe heute nochmal [[Peimbert-Batiz 1]] gemacht: Wie gestern auch wird ein strukturloses Scheibchen mit ZS sichtbar. ZS - wie gestern - blitzt immer wieder auf. In Momenten besten Seeings wird manchmal ein winziger, kleiner Ring sichtbar auf dessen Rand kleine sternartige Knoten aufblitzen. Das doofe ist nur, dass die Sterne praktisch langsam um ihre Position tanzen und dies daher einfach ein Seeingeffekt sein könnte. Blöd, ist aber so. Was aber dann doch unzweifelhaft sichtbar wird ist, dass der Nebel oval ist und zwar mit der langen Achse NW-SO ausgerichtet. Immerhin eine neue Erkenntnis. Dieser Nebel erfordert nicht einfach sehr gutes Seeing, sondern bestes Seeing.

''//Hartl-Dengel-Weinberger 3//'': Trotz intensiver, langer Beobachtung konnte ich nichts definitives erkennen. Versuche mit OIII und UHC jeweils mit 40mm (AP von 8mm) und 25mm (65 fach und AP von 6.5mm) haben lediglich ein hin- und wieder auftauchendes Glimmen zutage gefördert, was aber einer objektiven Betrachtung nicht standhält. Das Zielgebiet ist unglücklicherweise durchsetzt mit schwachen und hellen Sternen, die natürlich auch Nebel vortäuschen wo keine sind. SQM-L 21.67 im Zenit.

Es ist erstaunlich konstant kalt mit -6.5° Celsius und 40% Luftfeuchte. Der Himmel ist seifig. Offenbar ziehen doch Zirren durch. Soll noch die ganze Nacht so gehen. Morgen dann wieder klar. Übermorgen windig. Mal sehen.

Heute bin ich ziemlich fertig. Es ist einfach zu kalt. Aber dann kommt ''Thor's Helm bzw. NGC 2359'' und ich bin wieder fit: Sehr heller Nebel bei 65 fach. Mit OIII wirkt der Nebel schon sehr komplex mit sehr schwachen Ausläufern. Beste Vergrößerung zur Wahrnehmung vieler schwacher Details ist 168 fach. Natürlich auch mit OIII. Fantastisches Objekt.

!!Der Himmel wird wieder etwas besser 21.76 im Zenit.

[[Arp 82]]: Schon bei 65 fach ist NGC 2535 gut erkennbar. Kann bis auf 290 fach vergrößert werden. Dann zeigt sich erstmal ein unregelmäßiges Objekt. Mit etwas Geduld zeigt sich schließlich ein sternartiges Zentrum und drumherum ein diffuser Glow, aus dem zwei kurze Arme ragen, die wie eigene kleine Galaxien aussehen. Unmittelbar in der Nähe steht NGC 2536, die sich linsenförmig mit Helligkeitszunahme zum Zentrum hin zeigt. 

-8° Celsius jetzt. Und mittlerweile halb sechs Uhr morgens. Die Venus ist bereits aufgegangen und das Zodiakllicht überstrahlt die von Valencia ausgehende Lichtverschmutzung. Sie ist praktisch nicht mehr zu erkennen. Ich beschließe nichts mehr anzufangen und versuche doch noch Arp 84 zu beobachten. Lande dann aber irgendwo. Ich bin durch für heute. Die Nacht war mit gutem bis sehr guten Seeing gesegnet.

[[<<Zurück zur vorangegangenen Nacht|02. Januar 2019 - Muela de San Juan]] | [[Weiter zur nächsten Nacht >>|04. Januar 2019 - Muela de San Juan]] 

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Wieder am Mono-Dobson. 25 Zoll sind zurück. Klar. Wie gestern auch. Wind hat weder auf NO gedreht. Gestern war es noch SW.

Erstes Objekt ist Wray 17-1 im Sternbild Puppis.

[[Wray 17-1]]: Bei 100 fach bereits als schwacher und recht großer Schimmer in der Nähe eines hellen Feldsterns. Mit Feldsternen durchsetzt. Reagiert kaum auf OIII und auch nicht auf UHC. Daher Beobachtung ohne Filter. Es zeigt sich ein schwacher Ring. Auf dem Ring sind zwei gegenüberliegende Knoten sichtbar, die sich deutlich von den Feldsternen unterscheiden aber so hell sind wie diese. Diese sind N-S ausgerichtet. Zwischen diesen blitzt ganz zart der ZS immer wieder hervor. Ist indirekt knapp zu halten. Westlich weiterer schwacher Knoten. Gegenüber, also östlich nicht, aber dort zeigt der Nebel eine hellere Kante, die V-förmlich ist. Der Nebelring ist nicht rund, sondern „eckig“, wobei die Knoten runde Ecken bilden. Optimale Vergrößerung ist 278 fach nicht mehr, da sonst der insgesamt schwache Ring absäuft.

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Hätte ich gewusst, dass der Nebel so groß ist, hätte ich ihn gestern auch mal im Bino eingestellt.

Mario und Mathias schauen vorbei. Wir schauen und NGC 4565 an und dann machen wir weiter mit M22. Mathias schlägt den schönen KS NGC 5286 im Centaurus vor. Ich lege mich schließlich in den Liegestuhl und grase mit dem 10x50 Feldstecher die südliche Milchstraße ab. Und wieder mal zeigt sich, dass der Feldstecher eines der am stärksten unterschätzten Beobachtungsinstrumente ist denn ich nutze ihn auch recht selten.

Nachschau Hoffleit 4.

[[Hoffleit 4]]: heute bei sehr guter Transparenz besser. Optimale Vergrößerung ist 454 fach. Es zeigt sich ein langgezogener Nebel mit leicht glimmenden Rand. Längsseitig zeigt sich immer wieder auf der Mitte des Randes ein Knoten. Das Objekt bleibt schwierig.  

[[NGC 5315]]: Bei 100 fach schon als verdächtiges Objekt identifizierbar. Stellar, aber mit leichtem Halo. Bei 670x wird ein runder und bei geduldiger Beobachtung eher ovaler heller Kern sichtbar. Dieser ist einen diffusen Halo eingebettet in den ca. 4 diffuse X-förmige Ansen hereinragen. Beobachtet man den Kern genauer, so fällt auf, dass knapp neben dem hellen strukturlosen Zentrum ein kleiner, stellarer Kntoen zu erkennen ist. Habe auch auf 1200x vergrößert. Dann aber sind die Ansen kaum noch zu erkennen und das Objekt verliert insgesamt an Details. Seeing 1.

Ganz in der Nähe steht der PN [[Mayall-Cannon 18]]: Es zeigt sich zunächst ein Stern mit einem kleinen, hellen Halo. Reagiert sehr gut auf OIII. Bei ca. 1200 fach zeigt sich immer wieder ein kleiner Ring, der sich an einen Stern in dessen Mitte anschmiegt. Beide umgibt wiederum ein schwächerer Halo, der bei niedriger Vergrößerung das Objekt dominiert. Abgehende Schweife sind auch bei niedrigerer Vergrößerung mit und ohne OIII nicht zu sehen. Seeing 1-2.

SQM-L um 22.0. Nur noch +5° C und Wind aus Nord. Meine Pause gestaltet sich so: Ich mache ein Milchstraßenpanorama. Anschließend gibt es als Rausschmeißer Eistein‘s Kreuz. 

''//QSO 2237+305 - Einstein Kreuz//'': PGC 69457. Neuer Versuch: Die Galaxie PGC 69457 wird bei 454 fach sichtbar. Mit sternförmigem Zentrum. Dies soll jetzt 4-fach sichtbar sein, vorausgesetzt das Seeing lässt höchste Vergrößerungen zu. Lässt es. Das Handling der 1200 fachen Vergrößerung ist möglich, aber das Objekt bewegt sich sehr schnell. Zu schnell. Nichts eindeutiges lässt sich erkennen, außer dem bereits beschrieben.  

Matthias schaut wie jeden Morgen kurz vorbei. Wir halten wieder Ausschau nach den Satelliten, die gestern zu sehen waren. Nichts. Gar nichts. Mysteriös.

[[<< Zurück zur vorangegangenen Nacht|02. Juni 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|04. Juni 2019 - Tivoli Astrofarm]]

Nach der Vogelsbergregion ging es heute mal in die Rhön. Zwar ist es noch teilweise bedeckt, aber am Abend luckt die Sonne unter der Wolkendecke hervor.

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Blick auf Fladungen

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Wunderschöne Blumenwiese in der Rhön

Wolkig mit zunehmendem Mond. Wolken wollen nicht weichen. Ab circa 1:00 Uhr aufklarend. Wollte fast schon wieder abbauen, aber jetzt war ich schon mal hier...

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Das Teleskop am Beobachtungsplatz

!!03. auf 04. Mai - 01:00 - 04:15 Uhr

Beobachtungsobjekte sind zunächst der Mond und dann durch weitere Wolkenlücken ''M81 & M 82'',  ''M109'', ''M57'', ''Leo-Triplett'', ''M101'' und schließlich ''Mars''. Das Seeing ist zu schlecht für den Planeten. Die aufgehende Sommermilchstraße ist hingegen schon gut zu erkennen.

Erstes ernsthaftes Objekt ist die Galaxie ''UGC 7321''- eine der sogenannten Superthin-Galaxien: Nur mit genauer Karte auffindbar. Dann zeigt sich an der richtigen Stelle indirekt eine sehr, sehr dünne und lang gezogene Nadel. Schwach. Kann nicht ständig gehalten werden, ist aber trotzdem indirekt ganz gut zu sehen, wenn man sie erstmal aufgespürt hat.

''Abell 1656'': Sehr großer Galaxienhaufen. Ausdehnung größer als ein Quadratgrad. Im Außenbereich viele schwache Galaxien. Startpunkt ist ''NGC 4889'' sowie ''NGC 4874''. Sind beide relativ schnell gefunden. Haben helle diffusen Kerne, wobei die Außenbereiche diffus auslaufen. ''NGC 4867'' ist viel schwächer, aber von ähnlicher diffuser Struktur. Die ~POSS-Karte wird abgeklappert. Die meisten der Galaxien haben NGC Nummern. Weitere schwächere hingegen IC 's. Insgesamt wurden folgende Galaxien gesehen: ''NGC 4907'', ''IC 4045'', ''IC 4051'', ''NGC 4894'', die bereits erwähnten ''4898'' und ''4889'', ''4874'', ''4867'', ''4865'' und ''4860''. Und noch weitere. Aber irgendwann gebe ich auf :) 

Die Nacht geht schon wieder zu Ende und nun werden noch mal der Zirrusnebel und M13 eingestellt. Das Seeing wird am Ende der Nacht doch noch richtig gut. Insgesamt nur ca. zwei Stunden Beobachtungszeit unter richtig dunklem Himmel.

Mittlerweile hat die Dämmerung schon eingesetzt. Die Nacht dauerte nur bis 3:15 Uhr. Bis circa 4:15 Uhr habe ich noch beobachtet. Jetzt ist aber die Umgebung schon relativ hell und ich packe geschwind zusammen. Die Temperaturen sind mittlerweile unter 0° gefallen und es hat sich ein dünner Eispanzer über das Auto gelegt.

Die ~SQM-L Werte dieser Nacht: 21.56 um 1:00 Uhr. 21.57 um 1:30 Uhr, 21.69 um 2:00 Uhr bei -3 °C. 21.65 um 3:00 Uhr. Gemittelt aus drei Messungen im Zenit. 

4:45 Uhr geht's schließlich wieder zurück nach Frankfurt. Auf der Fahrt geht mittlerweile auch schon die Sonne wieder auf.

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Gestern ging leider nichts. Insgesamt ist das Wetter eine Katastrophe. Aber bisher ging fast jede Nacht was. Erstaunlich. AEMet sagt für Puntagorda geringe Bewölkung und klar vorher. Und auf dem Satellitenbild in ~WetterOnline App lösen sich die Wolken, die ein riesiges Tief nach Mitteleuropa mitbringt und nach Süden gedrückt werden  über dem Ozean auf. Der Luftdruck steigt auch wieder. Morgen ist das Hoch dann wohl da. Dann würde auch der Roque vermutlich gehen, wenn nicht andere Dinge wie Wind das Ganze doch noch verhindern. Egal. Hier unten ist es auch sehr gut. Entweder bleibe ich heute am Haus. Oder ich fahre in die Weinberge von Puntagorda. Mal sehen. Vorbereitung ist jetzt die letzten Nächte alles, denn das Aufsuchen dauert lange. Evtl. Entscheidungen was jetzt als nächstes dran ist auch. Also Konzentration!

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!!Es geht hoch zum Roque

Es klappt. Als ich oben bin sind noch Wolken unterwegs, aus denen es nieselt. Sie ziehen sich zurück. Zum Glück. Fahre bis auf den Gipfel. Nur zwei Leute, die auch gleich wieder fahren. Saukalt, weil sehr windig. Unten jedoch gar nicht. Kein Lüftchen. Hier oben aber sehr windig. Fotografieren geht kaum. Ich bleibe bis zum Sonnenuntergang. Die letzten sind jetzt auch weg. Da kommt der Jeep des Nachtwächters auf den Parkplatz gefahren. Mhmm. Als wollte er mich empfangen. Er grüßt kurz aus dem Auto und mir ist klar ich muss runter fahren. Auf dem Observationsgelände darf man sich nicht aufhalten. Jedenfalls nachts nicht. Ich fahre raus und spiele mit dem Gedanken am WHT abzubiegen. Denn habe mit dem Gedanken gespielt, mich einschließen zu lassen. Ist etwas idiotisch bei dem Wetter, denn wenn es wieder umschlagen sollte sitze ich die ganze Nacht hier fest. Außerdem ist der Wächter mir auf den Fersen und kann genau sehen, ob ich unten die Schranke passiere oder nicht. Ich passiere sie und bin draußen. Ich fahre zu meinem alten Platz an der Straße, der sich richtig gemausert hat. Büsche säumen ihn, so daß vorbeifahrende Autos kaum mehr stören. 

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Oben auf dem Foto ist links der Gipfelschatten und rechts im Erdschatten und die über 100 km weit entfernte Nachbarinsel Teneriffa zu erkennen. 

!!Perfekte Bedingungen

Dies ganze Insel ist unter Wolken. Ein Traum. Bin wieder an meinem alten Platz. Ebenfalls ein Traum. Durch den Regen der letzten Tage staubt es nicht und es gibt auch praktisch keinen nennenswerten Wind. Genial. Der Himmel startet mit 21.62. Nicht überragend, aber die Transparenz ist unglaublich. Der Himmel auch.

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Als erstes starte ich eine Nachschau von Mn 3-1. Wie beim letzten Mal zeigen sich zwei Knoten. Die anderen beiden sind jetzt auch zu erkennen. Es handelt sich um die „Auswürfe“. Damit scheidet der Ring definitiv aus, denn sonst wären die anderen Segmente auch durchgehend sichtbar. Was sie aber nicht sind. 

[[Minkowski 3-1]]: Versuche wieder 800 fach, Aber das Seeing ist nicht so gut. Besser sind heute 430 fach. Es zeigen sich wieder drei Knoten. Ich versuche den OIII und dabei gewinnt das Objekt nochmals deutlich an Kontrast. Es zeigen sich fast O-W ausgerichtete Knoten, die in Nebel gehüllt sind und sehr hell, praktisch sternförmig sind. Nach Süden geht eine ovale Fahne ab und im Norden handelt es sich um einen schwächeren Knoten.

Das Seeing ist nicht gut. Dachte es läge am tiefen Stand von Mn 3-1. Die Profis sagen 1.3“. Aha. Ich würde eine 3-4 vergeben. Dass Seeing macht sich schon bei 290 deutlich bemerkbar, ist aber kurzzeitig ganz Ok.

Das SQM-L ist auf 21.73 geklettert. -1 Grad Celsius und 62% Luftfeuchte. Der Wind lebt auf. Hoffe nicht, dass er stärker wird. Später fällt es wieder auf 21.6. Mmmhmm. Sehr seltsam. Mir fällt allerdings auf, dass der Himmel von der Lichtbrücke total dominiert wird. Einfach unglaublich. So wie im Januar auf dem Alto Tajo. Es wirft vermeintliche Schatten. Die Umgebung ist einfach nur als „hell“ zu bezeichnen. Sehr interessant. Wie gesagt, an der Lichtverschmutzung liegt es nicht, denn die Insel ist komplett unter Wolken. Weiter geht es mit den Galaxien. 

[[NGC 2366]]: Überraschend schwach. Beste Vergrößerung ist 114 fach. Bei 290 fach säuft sie fast ab. Am südwestlichen Ende ist eine HII-Region zu erkennen. Sehr hell. So wie die umliegenden Feldsterne. Bei 430 fach erkennt man, dass sie leicht länglich, wie Strich von einem angebrochenen Bleistift. Direkt daneben ist schon bei 114 fach ein kleiner heller, aber im Unterschied zu letzterer, diffuser Fleck zu erkennen.Die Galaxie selbst ist diffus und länglich bis oval. NO-SW ausgerichtet. und zeigt ein etwas helleres, diffuseres Zentrum. Dieses ist von der Form her rundlich und zeigt mittig längseitig ein schwaches Dunkelband. Kaum wahrnehmbar. Grenzwertig. In der Nähe schwache runde Aufhellung am südwestlichen Ende. Es handelt es sich hier um den Begleiter NGC 2363. 

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!!Wolken kommen wieder auf

NGC 2366 steht bei der Beobachtung fast im Norden. Und als ich eine kurze Pause nach der Zeichnung mache, sehe ich wie die Wolkendecke im Norden höher kommt. Oh, nein. Egal. Dann setze ich mich wieder ins Auto und warte bis sie durch ist. Denke ich und schon sind die Wolken da. Dummerweise beginnt es zu nieseln. Mist. Panik. Alles abbauen. Das Teleskop ist verstaut, da macht es richtig runter. 10m weiter steht meine Kamera und macht brav All Sky Aufnahmen. Klatschnass ist sie. Zum Glück spritzwassergeschützt. Warten bringt gar nix. Es ist unter null und auf der Windschutzscheibe ist Eis zu sehen. Nix wie weg. Kann mich nicht mal umziehen. Und so fährt es in Moonboots den Roque runter. Komme heil runter. Am Kiosk „Briesta“ halte ich und ziehe mich um. Warum? Dort gibt es eine Laterne. Ja, leider. Insgesamt sogar zwei. Früher gab es hier gar keine. Warum es die hier gibt, kann vermutlich niemand sagen, außer der Verkäufer mit seinem Geschäft, der es schafft den Gemeinden diesen Mist aufzuschwatzen. Hier wohnt niemand. Der Kiosk macht um 19 Uhr zu. Zu klauen gibt es nichts. Also warum? Vermutlich ganz einfach: Die Installation ist ein Geschäft und das will gemacht werden. Ganz zu Schweigen vom Stromverbrauch.

Gegen zwei Uhr bin ich wieder daheim. Klar, aber alles nass. Zuhause war es also auch nicht besser. Ein schwacher Trost. Jetzt ist es erstmal wieder klar. Aber nicht lange. Also gibt es wieder Wein und Käse. Ich gebe nicht auf. Morgen geht es wieder hoch. Spätestens für Samstag wird gutes Wetter auf dem Roque vorhergesagt.

[[<<Zurück zur vorangegangenen Nacht|02. April 2019 - La Palma]] | [[Weiter zur nächsten Nacht >>|05. April 2019 - La Palma]] 

Nach ein paar Tagen mit schlechtem Wetter geht es schließlich endlich weiter. Für mich ist es heute die letzte Beobachtungsnacht, denn morgen muss ich sehr früh raus, um den Rückflug zu bekommen. Wir werden weiterhin von Calima geplagt, so dass heute vor allem helle Objekte im Fokus stehen. Das Seeing sollte wieder gut sein und ist es auch.

Wir drücken uns tagsüber wieder im Norden rum, in der Nähe von Garafía. Wir essen in La Mata und sind zur Siesta wieder zurück. Es stören zwar noch ein paar Wolken, aber die sollen heute Abend verschwinden.

Heute sind Andreas und auch Ernst wieder da. Der Mond 🌜 macht sich bereits deutlich bemerkbar und knappst etwas mehr als zwei Stunden von unserer Beobachtungszeit ab.

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Erstes Objekt ist M42. Der Mond stört, so ist das ganze Thema nicht besonders ergiebig. Dann geht es weiter zum Eskimonebel, der im Moment noch recht günstig steht. Aber schon schnell muss ich abbrechen, denn er ist in Richtung Zenit unterwegs.

Kurz vor Monduntergang gehen wir noch mal eine Runde Kaffeetrinken und dann geht es tatsächlich los. Ich starte mit dem Pferdekopfnebel 🐴, der nach etwas Einsehen tatsächlich ganz gut zu erkennen ist. Weiter geht es zum Flammenebel, der ja in unmittelbarer Nachbarschaft steht. Kai hat heute Abendgäste, die jetzt vorbeikommen. Ich zeige M42 und M46 inklusive NGC 2438. Nicht jeder erkennt den Rauchring sofort, aber bei höherer Vergrößerung schließlich schon. 

Nach der Kaffeepause gehe ich auf den Eskimonebel zurück. Für die Zeichnung fehlen mir noch die Umgebungssterne. Dann geht es zu M51. Hammer, wenngleich der Kontrast nicht optimal ist. Dies liegt an der Calima, die den Himmel noch fest im Griff hat. Dennoch kann ich Strukturen in den Spiralarmen erkennen, denn das Seeing ist sehr gut. Eine Zeichnung zu beginnen, macht keinen Sinn, denn für die Beobachtung aller Details ist die Zeit zu knapp, für eine Zeichnung sowieso.

Ernst und ich genießen die Stimmung, kein Wind und relativ trocken und angenehm warm mit 10° C.

[[<< Zurück|31. Januar 2022 - Athos Star Campus]] | [[Weiter zur Beobachtungsübersicht >>|Athos im Januar 2022]]

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Das Foto zeigt den Beobachtungsort auf dem Parkplatz.

Ab Mitternacht soll der Wind wieder zulegen. Morgen sagen AEMET und 7timer das voraus. Spiele schon gedanklich durch doch nochmal kurz zum Pinar de Araceli zu fahren. Fünf Stunden Fahrt. Es bleibt erstmal bei dem Gedanken. Seit zwei Tagen bin ich der einzige Gast im Hostal.

Heute Nacht ist es deutlich wärmer. -3° Celsius, aber mit zunehmenden Wind. Wieder um 40% rel. Luftfeuchte. Leider ziehen zu Dämmerungsbeginn Zirren durch. So wie gestern auch. Mal sehen, ob dass die ganze Nacht so weiter geht. Im Prinzip stören sie nicht wirklich, denn sie setzen nur die Transparenz herab, scheinen aber sonst nicht groß angeleuchtet zu werden, was die All Sky Timelapses, die seit ein paar Tagen mitlaufen, bestätigen. Der Himmel wird leicht ins rote verschoben, was vermutlich von der Beleuchtung her kommt. Airglow ist es nicht, da ich die Wolken letzte Nacht auch mit bloßem Auge sehen konnte, sowohl vor der Dämmerung, als auch nachts. In La Palma habe ich nämlich immer Zirren verantwortlich gemacht wenn der Himmelshintergrund rot wurde, was aber tatsächlich Airglow war.

!!Erstes Objekt stammt eigentlich vom Sommerhimmel. 

[[Minkowski 2-53]]: Bei 65 fach nicht auszumachen. Erst bei 290 fach quasi stellar. Ab 430 fach von den Feldsternen eindeutig unterscheidbar, da größer. Reagiert gut auf OIII. Bei 430 fach und OIII als kleiner, runder, gut zu erkennender Nebelball zu sehen. Bei Steigerung auf 900x und ohne Filter zeigt sich zunächst ein gefüllter Rauchring. Bei weiterer geduldiger Beobachtung zeigt sich östlich der Ring gut definiert und läuft südwestlich diffus aus. Auf dem Nebelrand ist ganz schwach ein Stern immer wieder aufblitzend zu sehen. Allerdings nur vermutet. Insgesamt zeigt sich jetzt der Nebel oval, O-W orientiert, mit nördlich und südlich definierter Kante und von da an nach Westen diffus auslaufend. Kein ZS zu sehen. Ein Grenzobjekt was die Vergrößerung am 14 Zöller anbelangt, da dass Bild eigentlich schon fast zu dunkel ist bzw. der Nebel absäuft. Aber eben nur fast. SQM-L 21.64 um Polaris. 

!!Es klart wieder extrem auf. 

Mal sehen, ob das so bleibt. Nächstes Objekt ist UGC 3214. Ist ein Beobachtungsvorschlag im Rahmen des schon mal zitierten Artikels aus dem Magazin „Abenteuer Astronomie“.

[[UGC 3214]]: Quasi eine Superthin-Galaxie. Schätze Achsverhältnis zwischen 1:7 bzw. max. 1:10. Ist recht hell mit sternartigem Zentrum. Eine weitere sehr schwer zu erkennende Galaxie PGC 16435 kann man in unmittelbarer Nähe noch ausmachen. Das Staubband ist wie im Artikel vermutet nicht sichtbar, zumindest nicht mit 14 Zoll und sinnvollen Vergrößerungen von 168 und 290 fach. Am besten scheint mir die 168 fache Vergrößerung zu sein.

Mitternacht. Extrem klar. SQM-L 21.7. Na ja. Schon wieder vier Stunden rum. Beim nächsten Objekt ist plötzlich die Verwirrung groß. Habe Sh2-307 mit 301 verwechselt und wundere mich daher, dass ich keinen hellen Nebel an der angefahrenen Position sehe. Erkenne die Verwechselung und überspringe 307 und stelle schließlich doch noch erfolgreich [[Sh2-301]] ein: Heller Nebel, der auch ohne Filter zu sehen ist. Bei 114 fach und OIII zerfällt der Nebel in drei Segmente, die z.T. wiederum zweigeteilt sind. Ein sehr schönes Objekt. Wechsele zu 65 fach und 40 fach mit OIII zurück, um die schwächsten Ausläufer noch wahrnehmen zu können. Die reichen z.T. über den halben Durchmesser des Objekts hinaus. Erinnert mich ein bisschen an den „Tulpennebel“, da Grundform ähnlich und Segmente bzw. Strukturen auch, wobei hier diese nicht faserig, sondern relativ homogen im Vergleich sind.

Der Rabe steht jetzt schon im Südosten. Wahrscheinlich meine letzte bzw. vorletzte Nacht. Am 06. Januar den „Drei Heiligen Königen“ muss ich wieder zuhause sein. Ob ich morgen noch beobachten kann, steht in den Sternen. Wind ist angekündigt und 7timer sagt viel Wind vorher, soviel, dass man eigentlich nicht beobachten kann. Mal sehen. Auf jeden Fall werde ich nicht wieder durchmachen, sondern früher einpacken. Ggf. mache ich bei Wind ein hochauflösendes All Sky Panorama mit 16mm.

''UGC 10214'': Vergrößere bis auf 168 fach. Aber irgendwie habe ich keine Lust mehr. Es ist eine spindelförmige Galaxie mit sternartigem Zetrum zu sehen. Das ist was für größere Geräte.

Wie bereits erwähnt: Es ist jetzt extrem klar. Wie ich dies letzten August in Namibia gesehen hatte. Das SQM-L bestätigt dies mit 21.89 im Mittel im Zenit. Um Polaris 21.75 im Mittel. Wahnsinn. Und Polaris steht hier 40° hoch. So Werte hat man sonst nur auf La Palma und Namibia. Die Lichtbuckel von Valencia und Zaragossa sind sehr klein geworden. Madrid im Westen ist gar nicht mehr zu sehen, d.h. überragt den Wald, der 5° wegnimmt, gar nicht mehr. Für Valencia, eigentlich sind es Teruel und Valencia, ist das auch so, wobei der Eindruck durch das stärker werdende Zodiakallicht etwas verfälscht wird, da es genau den Horizont an der Stelle aufhellt. 

Zum Zodiakallicht. Ich kann mich nur an den letzten August in Namibia erinnern, wo ich das Zodiakallicht die ganze Nacht wahrnehmen konnte. Hier ist es so, dass nicht nur das Zodiakallicht, sondern sogar die Lichtbrücke die ganze Nacht ohne „Augenverbiegen“ gesehen werden kann. Das hatte ich weder auf La Palma noch in Namibia so gesehen. Um das Ganze einzuordnen muss man allerdings wissen, daß das Zodiakallicht nicht zu jeder Jahreszeit so hell und gut zu sehen ist. Meiner Erfahrung nach ist dies in den Wintermonaten auf der Nordhalbkugel der Fall, vermutlich, da dann die Ekliptik entsprechend steil genug steht. Dieser Ort ist auf Topniveau mit La Palma. Im Sommer sogar gegenüber diesem zu bevorzugen, wenn die Calima über den Kanarischen Inseln liegt. 

!!Das SQM-L erreicht Werte über 22.0

Eigentlich sollte an dieser Stelle mit den Lobhudeleien Schluss sein aber ich messe gerade um 05:05 Uhr im Zenit jetzt dauerhaft Werte über 21.92 und mehrfach auch über 22.0, z.B. 22.03. Ähnlich wie in Namibia im letzten August. Das Gerät ist nicht defekt, denn die Lichtgocke von Valencia wird mit 21.28 quittiert. Das Gerät ist auch mit +9° Celsius nicht zu kalt. Um Polaris sind es 21.85. Von da an, also 40° über den Horizont ist der Himmel schwarz wie im Zenit. Die Lichtbrücke ist auffällig. Bin schon gespannt wie die Zeitrafferaufnahmen geworden sind, denn die Kameraempfindlichkeit kann mit dieser Nacht endgültig für weitere Vergleichsaufnahmen festgelegt werden. Bin ganz baff.

So jetzt ist diese Nacht auch rum. Für die Statistik: 05:54 Uhr -4° C und 46% Luftfeuchtigkeit. Am Calar Alto + 1° C und 22% Luftfeuchtigkeit. 7timer sagt heute abend viel Wind vorher. Ich bin gespannt. Insbesondere, ob man sich hinter den Gebäuden verstecken kann oder ob man da auch wegfliegt. 

Kurz vor der Dämmerung wird die Umgebung heller. Die Venus und das Zodiakallicht erleuchten nicht nur den Himmel. Venus ist so hell, dass sie Schatten wirft.

[[<<Zurück zur vorangegangenen Nacht|03. Januar 2019 - Muela de San Juan]] | [[Weiter zur nächsten Nacht >>|05. Januar 2019 - Muela de San Juan]]

Nach einer totalen Wolkennacht, sieht es nach einer weiteren aus. Aber gegen Nachmittag klart es auf, wenngleich die Vorhersage ankündigt, dass es erst mal wieder schlechter werden würde, um dann besser zu werden. Habe meine Sachen soweit geordnet und eigentlich auch schon verpackt. Aber ich bin natürlich flexibel und kann auch noch mal reagieren. Bin schon gespannt, ob das heute noch mal was wird. Wenn nicht, ist es auch kein Beinbruch. Es heißt zunächst erst mal: Abwarten.

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Plötzlich klart es doch um Mitternacht auf. Eine halbe Stunde später sind wir draußen und beobachten Highlights. Erstes Objekt ist Omega Centauri. Zweites ist M11, der so genannte Wildentenhaufen. Dann geht es weiter zu M57, dem Ringnebel. Wir halten Ausschau nach dem Halo, der mit OIII-Filter sichtbar wird. Dann geht es weiter zu Corona Australis, wo uns der Kugelsternhaufen NGC 6723 empfängt und beim Schwenken die schönen Reflexionsnebel, mal ausgedehnt, mal winzig und hell. Weiter geht es zu Barnard’s Galaxie, die sich bei 100x recht ausgedehnt, hell und mit den bekannten drei Knoten zeigt. Der Galaxienkörper wirkt irgendwie unruhig, ja grießig.

![[Henize 2-207]]

Ist bereits bei 100x im Sternfeld auszumachen. Bei höherer Vergrößerung, d.h. 670x sind zwei gebogene Halbschalen sichtbar, in denen Knoten eingebettet sind. Reagiert gut auf OIII-Filter. Dann scheinen sich die Schalen zu einem Ring zu verbinden. Die Verbindungsteile sind allerdings sehr schwach.

![[Ced 211 um R Aquarii]]

Genialer, leicht S-förmiger Nebel um R Aquarii. UHC-Filter funktioniert relativ gut, OIII–Filter hingegen nicht. Entscheide mich am Ende aber gegen Filter. An den S-förmigen Nebelenden zeigen sich Ansen bzw. leicht versetzte Knoten. Interessant ist auch, dass der UHC einen West-Ost gerichteten diffusen Glow zeigt. Dieser ist ohne Filter leider nicht auszumachen. Sehr schönes Objekt! Vergrößerung 670x. Seeing 3-4. kurzzeitig auch 2.

Ich bin übrigens auch für das Objekt des Monats im Astrotreff für August 2022 verantwortlich und habe das Cederblad 211 ausgewählt. Zum Thread geht es [[hier|https://www.astrotreff.de/forum/index.php?thread/274214-august-2022-cederblad-211-um-r-aquarii/]]. Da kann man auch die Diskussion beziehungsweise andere Beobachtungen nachlesen.

Wirklich schade, dass Mathias den Nebel nicht mehr sehen konnte, denn wir hatten leider den falschen Stern eingestellt. Dieser befindet sich etwas nördlich, was aber aufgrund der Darstellung im Planetariumsprogramm nicht zu erkennen war, da das dargestellte Gesichtsfeld viel zu groß war, um die leichte Abweichung der Position auf dem Bildschirm des Tabletts zu bemerken 😳. Mir ist es nur aufgefallen, nachdem wir eine negative Sichtung quasi verbucht und ich im Nachhinein die Beobachtung beschreiben wollte und die in diesem Zug den Namen des Sterns noch mal nachschlagen bzw. verifizieren wollte. Da fiel mir auf, dass wir tatsächlich etwas daneben lagen, da der Stern, den wir eingestellt hatten natürlich auch viel zu hell war. Habe noch mal kurz überlegt, ob ich Mathias kurz Bescheid gebe bzw. wecke, aber mich dann dagegen entschieden. 🫣

Das SQM-L spinnt wieder total. Ich vermute, dass entweder Wolken oder Airglow das Problem sind. Mal werden über 21.8 angezeigt, mal nur 21.6. mittlerweile nur noch +4 °C. Das Seeing ist mittlerweile komplett eingebrochen.

Der Himmel ist total seifig. Ich greife noch mal zum Feldstecher und durchstreife die Magellanschen Wolken. Dabei fällt mir auf, dass meine Skizze vom letzten Jahr für die Kleine Magellanschen Wolke 100-prozentig passt und das meine Reinzeichnung leider ein paar Details unterschlagen hat. Keine Ahnung warum ich mich nicht getraut habe diese zu zeichnen.

Ich gehe noch mal auf Abschiedstour. D.h. in diesem Fall, dass ich noch mal die hellen Galaxien am Morgenhimmel ansteuere: NGC 247, Silver-Dollar, NGC 55, 300 und 1365. Dann zum Abschluss den Tarantelnebel.

[[<< Zurück zur vorangegangenen Nacht|02. Juli 2022 - Tivoli Astrofarm]] | [[Zurück zur Beobachtungsübersicht >>|Namibia Juni 2022]]

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Heute ist der Sundowner. Schön wieder auf der Düne zu sein. 

[[Hoffleit 4]]: Keine neuen Details. Rand schwierig. Westlich in Randnähe stellare Aufhellung. Rührt vermutlich aber von einem schwachem Feldstern außerhalb.

Seeing ist heute nicht so gut. SQM-L 21.9.

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[[HCG 79 - Seyfert's Sextett]]: Bei 100 fach schon als Knäuel von 3-4 Galaxien erkennbar. Kann bis auf 670 fach vergrößert werden (AP 0.9mm). Optimal sind jedoch 454 fach (AP 1.3mm). Dann werden drei helle Galaxien, die zu einem rechtwinkligen Dreieck angeordnet sind sehr leicht sichtbar. Dabei handelt es sich um die Komponenten a bis c. b ist zigarrenförmig mit hellem, ovalen Zentrum. a und c linsenförmig. b  ist am hellsten. Dann a und schließlich c. Alle drei sind auffällig. Indirekt erscheint noch eine strichförmige Galaxie ohne helleres Zentrum, die mit der b Komponente durch einen schwachen Nebelschweif, offenbar der Gezeitenschweif, verbunden ist. Dieser ist indirekt leicht sichtbar. Weiterhin erscheint Komponente e als kleine linsenförmige Galaxie mit kaum hellerem Zentrum. Unterhalb von b ist die d Komponente als feine Nadel mit hellerem langgezogenem Zentrum sichtbar. Hintergrund der Gruppe erscheint neblig. Wunderbarer Anblick!

__Achtung__: die Galaxien- und die Hicksonkomponenten sind nicht identisch. Hier eine kurze tabellarische Aufstellung, wie sie zusammengehören. 

|!HICKSON|!Galaxie|!Größe (in ')|!MAG (V)|
|79a|NGC 6027A|0.7X0.5|13.9|
|79b|NGC 6027E|0.8X0.4|13.4|
|79c|NGC 6027B|0.4X0.3|16.5|
|79d|NGC 6027C|0.9X0.2|16.5|
|79e|NGC 6027D|0.2X0.2|15.5|

!!Schattendurchgänge der Monde Ganymed und Io

Gegen 01:30 Uhr WAT steht ein Doppelter Transit der Jupitermonde Ganymed und Io an. Und dieses Mal stehen beide Monde vor der Jupiterscheibe und auch beide Schatten!

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Der doppelte Schattendurchgang beginnt mit dem Schatten von Ganymed, der sich als erstes vor den Jupiter schiebt. Dann folgt Ganymed selbst und ist gut vor der Jupiterscheibe erkennbar. Später dann kommt schließlich Io dazu. Auch hier tritt zunächst der Schatten vor die Jupiterscheibe. Dann erst folgt der Schatten. Faszinierend wie zeitweise die Monde selbst als auch deren Schatten vor der Jupiterscheibe wandern. Ganymed ist deutlich größer als Io und die Schatten spiegeln das auch wieder. Faszinieren. Ich versuche die Dinge mit der Fotokamera festzuhalten, was auch gelingt. 

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/w813LT" title="Doppelschattendurchgang von Ganymed und Io vom 05.06.2019"><img src="https://live.staticflickr.com/65535/48242067631_6aa9190d5c_h.jpg" alt="Doppelschattendurchgang von Ganymed und Io vom 05.06.2019"></a></div>

!!In Mathias‘s 14 Zoll Dobson sehen Jupiter und Saturn noch besser aus!

Später dann schaue ich wir auch bei Mathias 14 Zoll Dobson. Und das Bild ist sehr, sehr beeindruckend. Excellent! Unglaublich! Wahnsinn! Was für ein Teleskop. Das Seeing war sehr gut diese Nacht. Schätze, dass es um 0.5“ und zeitweise darunter lag. Kenne ich so bisher nur von La Palma. Unglaublich. Wir haben hier schon eine Handvoll solcher Nächte gehabt. 

Zum Abschluss des grandiosen Spektakels stelle ich noch die Schaustücke des südlichen Galaxienhimmels ein.

[[<<Zurück zur vorangegangenen Nacht|03. Juni 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|05. Juni 2019 - Tivoli Astrofarm]]

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/5to1fr" title="Untitled"><img src="https://live.staticflickr.com/65535/51287623613_b3e3eeb54c_k.jpg"></a>Zodiakallicht am Abend mit der Lichtglocke von Windhuk, die wirklich winzig ist und visuell zwar wahrnehmbar ist, aber nicht stört.</div>

Heute angekommen und direkt geht’s los. Bedingungen sind wie üblich zu dieser Jahreszeit perfekt. Extrem klar. Windstill. 4.1° C und 54% rel. Luftfeuchte. Später dann auf 76% ansteigend. Und 0° C. Taupunkt wird schließlich erreicht.

!NGC 3628 mit Gezeitenschweif

Erstes Objekt ist ''NGC 3628 und der zugehörige Gezeitenschweif'': Nur bei einer AP 3.5 mm (178x) relativ gut erkennbar. Dann scheint der Kontrast zum Himmelshintergrund ausreichend gut zu sein. Zuvor bei 100x (AP=6.25mm) und 125x (AP=5mm) nichts definitives zu erkennen, was vermutlich auch daran liegt, dass der Kontrast auch nicht gut ist, da das Zodiakallicht in der Nähe und die Lichtbrücke mitten durch das Gebiet geht. Es zeigt sich trotz der großen Öffnung nur ein diffuser Schweif. Der Schweif geht von NGC 3628 nach Osten ab und reicht über eine Länge von 40 Bogenminuten und endet praktisch mit IC 2787, die bei 178x gut erkennbar ist. Auf der dreiviertel Strecke dahin, in einem Sternendrei- bzw. Viereck, ist ein nebliger Hintergrund zu erkennen. Dort ist auch eine schwache, linsenförmige Galaxie PGC 1436593 sichtbar. Ob der neblige Hintergrund tatsächlich ein hellerer Teil des Gezeitenschweif darstellt, ist schwer zu sagen.

Parallel zu den Beobachtungen mache ich auch Fotoaufnahmen. Diese wollen aber nicht so recht gelingen, jedenfalls bin ich nicht so glücklich mit den Ergebnissen.

!Weiter geht es mit Planetarischen Nebeln…

[[NGC 4071]]: Schon bei 100x bei Übersichtsvergrößerung erkennbar. Diffuser runder, bei geduldiger Beobachtung schließlich ovaler Nebel. Inneres dunkler, aber mit Nebel gefüllt. Hellerer Stern prominent im Randbereich und einfach zu erkennen. Lässt sich nicht sehr hoch vergrößern, da dann zu schwach. Reagiert gut auf Filter. UHC besser als OIII. Am Ende zeigt sich der Nebel am besten bei 454x mit dem UHC. Etwa NO bis SW ausgerichtet, mit Kanten. Die nordwestliche ist heller und ragt in das Innere teilweise hinein. Die südwestliche nur auf kürzerem Stück etwas heller. Enden schwächer auf beiden Seiten, aber dennoch recht gut begrenzt.

[[NGC 6026]]: Bei 670x zeigt sich ein recht großer Nebel um einen recht hellen Stern. Südwestlicher Teil deutlich heller und begrenzter. Nordöstlicher hingegen diffuser und insgesamt deutlich schwächer. Insgesamt sieht dieser PN aus wie ein „Fallschirm“, da der hellere südwestliche Teil auch einen größeren Durchmesser zu haben scheint.

Kurz vor Mondaufgang wird es interessant. Auf der Jupiteroberfläche ist nämlich heute ein Doppelschattendurchgang von Io und Ganymed zu sehen, wobei sich die beiden Schatten sogar fast vollständig überlagern. Zudem steht Io vor der Jupiterscheibe. Ganymed hingegen „spendet nur seinen Schatten“ und tritt erst drei Stunden später vor die „Scheibe“. So lange werde ich aber nicht warten. 😴

__Beobachtung im Teleskop__: Leider ist das Seeing nicht so gut. Dennoch werden die beiden Schatten sehr kontrastreich vor der hellen Jupiterscheibe sichtbar. Sehr beeindruckend! In kurzen Momenten, werden die Wolkenbänder sehr scharf gezeichnet und die Schatten stehen wie ausgestanzt da.

Jetzt wird es so langsam richtig unangenehm. Kalt und feucht. Klamme Finger. Aber morgen wird es sogar noch schlimmer.

[[<< Zurück zur Beobachtungsübersicht|Namibia Juni 2021]] | [[Weiter zur nächsten Nacht >>|05. Juni 2021 - Tivoli Astrofarm]]

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Konnte mich gut erholen. Ob ich heute hoch zum Roque fahre, weiss ich mittags noch nicht. Warum? Starker Nordwind ist vorhergesagt. Morgen soll er dann wieder im Laufe des Tages abnehmen. Gestern deutete sich sowas schon an, denn bevor die Wolken kamen, wehte er schon mal in Böen. Alternativ könnte ich die Llanos de las Animas probieren. Da ist man vor dem Nord- bzw. vor allem NE-Wind sehr gut geschützt. Sicht ist aber eingeschränkt und ich möchte gerne ein All Sky Timelapse machen. Da sind Bergrücken, hinter denen man sich versteckt, natürlich im Wege.

Soo....ich bin am Wasserreservoir. Gute Entscheidung, denn hier weht nur hin- und wieder eine Böe. Aber abwarten, denn die Nacht hat erst begonnen. Morgen der Höhepunkt: Kein Wind vorhergesagt. 

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Ich bin früh da, da ich einige Nächte Leute habe von oben runterfahren sehen. Ich nehme deshalb an, dass sie heute auch kommen werden. Bin mit dem Aufbau früh fertig und gespannt in der Erwartung wer alles kommt. Und tatsächlich. Plötzlich sehe ich einen SUV hochfahren. Ich werde gefragt, ob man hier oben mitbeobachten kann. Kann man. Es sind Franzosen. Insgesamt acht. Einer spricht englisch. Wir tauschen uns aus. Insbesondere über die letzte Nacht mit dem einsetzenden Regen. Da waren sie alle hier. Ich teile meine Bedenken bzgl. der heutigen Nacht und erkläre, dass 7timer sogar vorhersagt, dass der Wind noch zunehmen soll. Na ja, jetzt sind wir erstmal hier. Die Franzosen bauen vier oder fünf Teleskope auf. Leichtbaudobsons mit Größen bis zu 16 Zoll. Kommen aus der Nähe von Paris. Ihr Beobachtungsplatz ist in der Nähe von Versailles. Die Milchstraße könne man hin und wieder erahnen. Dann geht‘s los. Bei mir erstmal mit der Astrotrack und einigen Weitfeldaufnahmen. 

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Bei einer Testbeobachtung zum Seeing fällt auf, dass das Seeing mies ist. Wie denn auch, bei dem Wind. Und ich versuche trotzdem als erstes Objekt NGC 2242, einen PN. Kaum suche ich ihn auf sehe ich schon beim Schauen in die Karte, dass da wieder so eine Wolkenwand hochsteigt. Und dann ist es auch direkt da. Keine Panik, sage ich mir, aber das riecht nach Abbau. Erstmal klart es wieder auf. Aber nicht lange. Plötzlich kommen die Wolken auch von allen Seiten. Die Franzosen werden ungeduldig. Aber was soll‘s. Sie erzählen noch, dass sie in der Nähe des El Time wohnen, da sie auch den Süden der Insel besuchen wollten. Und das es da wohlmöglich klar ist. Wahrscheinlich haben sie Recht. Sie fragen mich, ob ich dort schon mal beobachtet habe. Nein, und das stimmt auch. Mir ist da die Lichtverschmutzung zu groß. Man müsste sich ein komplett anderes Quartier suchen, denn von Las Tricias sind es gut und gerne zwei Stunden Autofahrt. 

Schließlich bauen wir ab und fahren runter. Wie gestern endet die Nacht bei Wein und Käse. Bleibe auf jeden Fall wach um im Rhythmus zu bleiben. Denn morgen soll ja die Nacht der Nächte kommen. Mal sehen, ob dass wirklich was wird. 

[[<<Zurück zur vorangegangenen Nacht|02. April 2019 - La Palma]] | [[Weiter zur nächsten Nacht >>|06. April 2019 - La Palma]]

In der Bar ist ein kommen und gehen. Der Wirt stellt mir den Bürgermeister vor und er mir seinen Neffen, den Dorfarzt. Dabei stellt sich heraus, dass der Arzt ein Hobbyastronom ist. Erzählt mir von seinen Beobachtungen, insbesondere der Planetenbeobachtung.  Ich verspreche dem Bürgermeister ein paar Fotos zur Abholung am nächsten Tag. Er möchte ein Plakat über das Dorf machen und auch für den dunklen Himmel werben.

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Bin immer noch ganz „geflashed“ von der letzten Nacht. Heute ist ja Wind angekündigt und ich habe die Gebäude kurz vor der Dämmerung inspiziert. Sie sind nicht sehr hoch, und dennoch breit genug, um sich dahinter zu verstecken. Praktisch ideal. Bei Nordwind - wie jetzt - kann man trotzdem noch den Ost-West - und ganz wichtig ohne Einschränkung - den Südhorizont einsehen. Ein paar Bäume schränken die Sicht ein. Aber nicht dramatisch. Ist eigentlich zu schön, um es zu glauben. Herrscht Wind aus anderen Richtungen, geht man einfach um das Gebäude herum. Das Gebäude ist wohl das ursprüngliche Ausflugsrestaurant, dass von der Gemeinde Griegos betrieben worden ist. Erinnert mich irgendwie an das Centro de Visitantes auf La Palma, mit dem Unterschied, dass dies hier geschlossen ist und das auf La Palma gerade gebaut und eröffnet wird. 

!!Wie vorhergesagt ist es windig. 

In den hohen Bäumen, die den Parkplatz säumen, rauscht der Wind. Auf dem Platz bisher selbst nicht. Ab und zu ein Luftzug, sonst nichts. Abwarten, denn der Wind soll ja noch zulegen. AEMET hat 50 km/h aus NW vorhergesagt. Bis halb zehn Uhr habe ich ausschließlich fotografiert. 

Erstes Objekt ist [[NGC 7354]]: Bei 65 fach schon als Nebel zu erkennen. Gehe gleich auf 430 fach. Heller Nebel, auf dessen Rand stellare Knoten aufblitzen. Weiter auf 900 fach. Sehr schön! Jetzt wird bei bestem Seeing ein kleiner, gefüllter, elliptischer Nebel sichtbar, auf dessen Kanten hellere Segmente und Knoten sichtbar werden. Das Seeing ist so gut, dass der elliptische Ring scharf begrenzt sichtbar wird. Er ist gefüllt und außerhalb in einen gut sichtbaren Halo eingebettet. Der nördliche Teil des Rings ist schwächer. Die hellste Kante mit stellarem Knoten ist mittig auf dem östlichen Segment eingebettet. Ihr folgt ein fast gegenüberliegendes Pendant. In den Apsiden taucht auch jeweils einer auf. Versetzt auf den längeren Kanten ebenfalls noch zwei. Zusammen kommt man auf insgesamt sechs. Der östliche Halo scheint eine begrenzende etwas hellere Kante zu haben. Seeing 1+.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/HG0V95EZfn" title="Untitled"><img src="https://live.staticflickr.com/65535/53103739131_e270b2984d_k.jpg" alt="Untitled"/></a>All Sky Panorama aufgenommen auf der Muela de San Juan mit Sony A6300 und Sigma 16mm f1.4 @f1.7 und 6400 ASA sowie 13 sec je Bild. Insgesamt mehr als 100 Bilder in MS ICE zusammengesetzt und als Fisheye Projektion ausgegeben. Filter: Weichzeichner.

Der Wind tangiert mich kaum. Am Sendemast tobt er sich aus. Wenn er dann doch einmal dreht, erwischt mich manchmal schon eine Böe. Lässt er kurzzeitig nach, wird das Seeing wieder schlechter, d.h. so wie die letzten Tage, wo die Sterne leicht aufgeblasen um ihre Mitte tanzen und dann in bestimmten Momenten kurzzeitig schrumpften und wie jetzt ein perfektes scharfes Bild abgaben. Heute zeigt sich dieses Bild praktisch die ganze Zeit. Sprach's und futsch war es. Gerade noch mal durchgelugt. Das Seeing ist wieder auf die üblichen 2 abgerutscht. Na ja.

Heute deutlich wärmer, aber durch den Wind gefühlt kälter. +1° C und 31% rel. Luftfeuchte.

Das nächste Objekt ist [[V777 Mon|V777 Mon - Red Rectangle]] bzw. den Nebel um diesen Stern „Red Rectangle“: An der richtigen Position wird ein recht heller Stern sichtbar. Bei 900 fach wirkt er bei gutem Seeing bereits nord-südlich elongiert, was bei Vergleichssternen nicht der Fall ist. Für einen Zeitraum von vielleicht 2-3 min wird das Seeing wieder Top und das Beugungsbild schrumpft und zeigt mittig einen winzigen Stern. Um ihn herum zeigt sich ein kleines Rechteck, N-S ausgerichtet, dass im Innern mit sehr hellem Nebel gefüllt ist und sogar helle Diagonalen zeigt. In der Mitte thront der winzige Stern. Die Helligkeit kommt aus diesem rechteckigen Nebel. Manchmal habe ich den Eindruck das Ganze schimmert grün. Um das Rechteck zeigt sich der übliche Halo bei Sternen dieser Größe, wobei ich den Eindruck habe, dass dieser hier einen Ticken größer ist, z.B. im Vergleich mit HD44219, der in der Nähe steht. Seeing 1+.

!!Das SQM-L markiert 21.83 im großen Wagen. 

Die Nacht begann mit den typischen Werten für diese Zeit mit etwas über 21.6. Da waren noch Zirren unterwegs. Jetzt ist der Himmel wieder mal der Hammer. Und schätze er läuft wieder über die 21.9 am frühen Morgen.

Noch was ernsthaftes anfangen? Ich weiß nicht. Der Wind lässt nach und das Seeing bricht zeitweise ein, was ich schon beim Glotzen der Huygens-Region in M42 bei 65 fach erkenne. Heute war hier oben auch echtes La Palma Feeling. Extrem Trocken. Temperaturen knapp über Null. Wind ohne Ende, der mich aber kaum störte, so wie im Ferienhaus in Las Tricias, wo ich immer hin fahre. Einfach traumhaft hier.

<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:5px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/s2jV09"><img src="https://farm8.staticflickr.com/7907/45977452904_b20f473039_b.jpg"></a>Das Dorf bei Mondaufgang am 03.01.2019. Rechts oben die Venus.</div>

So, raffe mich noch mal auf. [[IC 426]] wird eingestellt: Bei 65 fach ist ein diffuses Glimmen um eine helle Sternengruppe zu erkennen. Am besten bei 114 fach. Ausgehend von einem Stern zeigt sich ein dreieckiger Nebel, mit geschwungenen und abgerundeten Kanten. Kanten deutlich, innerhalb diffus. Mit der Spitze nach Westen ausgerichtet und nach Osten verlaufend. An der südlichen Kante abgehende diffuse Fahnen nach außen wie nach innen.

So das war die letzte Zeichnung. Um vier möchte ich hier weg sein. Im großen Wagen, der mittlerweile im Zenit thront 21.82. Der Rabe ist aufgegangen. Ich werde noch ein paar Fotos schießen. Von Sternbildern und so. 

Am nächsten morgen treffe ich den Bürgermeister und liefere die Fotos. Interessant ist, dass nur Fotos ausgewählt werden, die das Dorf bei Nacht zeigen. Also eigentlich Lichtverschmutzung. Den Sternenhimmel interessiert eigentlich niemanden so richtig. Wie bei (von mir vor vielen Jahren) ab und zu angebotenen öffentlichen Beobachtungen am Teleskop: „Ah wie schön es doch hier ist. Und die schönen ''Lichter der Stadt''! Können sie das Teleskop auch auf jenes Fenster ausrichten? Ich kenne denjenigen der da wohnt und würde gerne mal sehen...“. Nein, kann ich nicht.

[[<<Zurück zur vorangegangenen Nacht|03. Januar 2019 - Muela de San Juan]] | [[Zurück zum Artikel >>|Zwischen den Jahren auf dem Alto Tajo]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/5WJtDs" title="Aufgang der Sommermilchstraße über der Kalahari"><img src="https://live.staticflickr.com/65535/49873364976_efec2b3f17_k.jpg" alt="Aufgang der Sommermilchstraße über der Kalahari"></a>

Leichte Zirren am Abend. Temperaturen fallen direkt und schnell auf +6° C bis Mitternacht. Luftfeuchte - wie immer - um die 30%. Gegen Mitternacht nur 21.77 mit dem SQM-L. Seeing wieder Top.

[[Cannon 1-5 (PNG 002.2-09.4)|Cannon 1-5]]: Winziger PN. Schon bei 100 fach als verdächtiges - und ich glaube farbiges (blau-grünes) Scheibchen sichtbar. Kann bis auf 1200 fach vergrößert werden. Dann zeigt sich ein gefüllter, strukturloser Nebel. Später blitzen auf dem östlichen und westlichen Rand hellere Kanten auf. Kein ZS. Mít OIII wird ein recht großer Halo mit 3 fachem Durchmesser sichtbar.

!!Und wieder Planeten...

Wir verfallen wieder den Planeten. Zunächst Jupiter, dann Saturn und dann wieder Jupiter. Das Seeing ist nicht so gut wie gestern, aber immer noch sehr gut. Ich krame meine Pentax Schätzchen raus. 7mm Ortho und 3.8mm XP. Damit gehen wir dann zu Mathias‘s 14 Zöller und wie gestern sind wir sprachlos. Im Verhältnis zu den Ethos-Okulare ist das Bild sehr viel heller und auch etwas schärfer. Wahnsinn. Bei Saturn können wir zuerst am 25 Zöller und auch am 14 Zöller die Enke-Teilung, sowie die Monde Tethys und Dione sehen. Leider nimmt der Wind wieder zu. NO. Das Seeing wird wieder schlechter.

+8° C und SQM-L 22.0. 

!!Weiter geht‘s mit Galaxien

[[NGC 7090]]: Langgezogene Galaxie, die vermutlich auch als Superthin durchgehen könnte. Nördlicher Teil deutlich heller mit drei hellen Segmenten, in denen wiederum helle Knoten eingebettet sind, die immer wieder aufblitzen. Nach Norden am Ende diffus auslaufend mit zwei diffusen, etwas helleren Abschnitten. Nach Süden diffus mit hellem Feldstern. Dahinter mit zwei helleren Teilsegmenten. Mittig dunkle Abschnürung, wo der Galaxienkörper deutlich schwächer wird, aber nicht verschwindet.

Ich starte noch eine Aufnahme der SMC. Habe heute viel mit Planeten und wieder auch Fotografie zugebracht.

[[<<Zurück zur vorangegangenen Nacht|04. Juni 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|06. Juni 2019 - Tivoli Astrofarm]]

Zweiter Tag. Grillen ist angesagt. Es ist alles vorbereitet. Wir müssen uns nur noch setzen. So ist es gut. 😊 

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Der Grill wird angeworfen und die Hunde lauern darauf, dass etwas „abfällt“. Es wird nicht das letzte Mal sein, dass wir sowas veranstalten.
Gegessen wird übrigens um 18:30 Uhr. Astronomische Dämmerung ist eine Stunde später.

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Zweite Nacht. Heute hat der Wind gedreht. Von Süd auf Nordost. Es wird also wärmer und auch staubiger. Der Wind nimmt deutlich zu. Nachts ist es mit +5°C etwas wärmer, aber die Nacht ist ja noch lang. Das SQM-L erreicht schon eineinhalb Stunden nach Einbruch der astronomischen Dämmerung 21.9.

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Erstes Objekt ist wieder [[NGC 3628 und sein Gezeitenschweif]]: Er ist heute mit Mühe auch bei 125x (AP=5mm) zu erkennen. Sehr schwach. Auf Dreiviertel Strecke, in einem Sternendrei- bzw. Viereck, täuscht die Galaxie PGC 1436593 den nebligen Hintergrund - wie gestern vermutet, offenbar nur vor. Denn dieser Teil des Gezeitenschweifs ist sogar noch dunkler als der hellste Teil, der direkt vom Galaxienkörper abgeht.

[[Fleming 1]]: Heller Nebel, der direkt in der Nähe von HR 4417 steht, einem Stern 🌟,  der bereits mit 5.8 mag leicht mit bloßem Auge erkennbar ist. Bei Aufsuchvergrößerung von 100x ist Fleming 1 bereits als auffälliger Nebel im Sternfeld auszumachen. Kann direkt auf 670x vergrößert werden. Dann zeigt sich ein runder bis leicht ovaler Nebel, der sich ringförmig zeigt. Nordwestlich zwei hellere Wölkchen auf dem Ring, der nördlich und gegenüber südlich fast verschwindet, um dann im östlichen Teil wieder heller zu werden. Mittig zeigt sich der Zentralstern. Nach Norden und Süden läuft der PN abseits seiner ringförmigen Schale diffus aus. Im Norden ist dort auch ein versprengter Nebelteil als runder, diffuser, sehr schwacher Nebel zu erkennen. Nordwestlich ist am hellen Rand ein sehr schwacher Stern zu erkennen. Schöner PN!  

!M83

Die Luftfeuchte steigt auf über 80% an. Gefühlt ist es bei +2.5° C auch sehr kalt. Ich starte eine Zeichnung von M83. Die wird aber heute nicht mehr fertig. 

Morgen werde ich nur kurz mit dem 25 Zöller beobachten. Denn übermorgen geht es zeitig los. Wir besuchen die HESS-Teleskope und tags darauf das Sossusvlei. Am Dienstag abend sind wir wieder da. Dann geht es auch mit M83 weiter.

Das Seeing ist ab Mitternacht regelrecht eingebrochen, Maximalvergrösserung von 278x gingen noch gut. Alles drüber nicht mehr.

!Helixnebel - Nördlicher Halobogen

Zum Ausklang gibt es Standardkerzen, wie Hubert meint. Zunächst den Helix-Nebel, der auch einen Halo hat und dort einen prominenten, nördlichen Bogen. Hatte ihn im 24 Zoll Bino-Dobson 2019 gesehen, aber im 25 Zoll Mono-Dobson nicht. Eine [[Diskussion im Deepsky-Forum|https://www.deepskyforum.com/showthread.php?1407-Object-Of-The-Week-September-13-2020-–-NGC-7293-The-Helix-Nebula&highlight=Helix]] hat mich nochmal das Objekt ansteuern lassen, um explizit nach dem Bogen zu schauen: Bei 125x und OIII ist der Helix knallig hell. AP ist 6.5mm. Probiere H-Beta. Nix. Der Helix verschwindet fast und vom Bogen keine Spur. Schließlich probiere ich den UHC und relativ schnell kann ich den Bogen nördlich erkennen. Diffus, schwach, indirekt knapp nicht zu halten, aber eindeutig. Habe eine Skizze gemacht und werde morgen das Ganze überprüfen.

__Kommentar:__ Am nächsten Morgen verifiziere ich das Ganze. Und es ist tatsächlich der Bogen, den ich gesehen hatte. Position und Verlauf passen. 

Es bleibt kaum eine Stunde. Ich werde noch mal die Kleine Magellansche Wolke „ansurfen“. Dabei werde ich nicht glücklich. Die Position ist noch zu tief, um bequem zu beobachten. Ich schaue mir kurz NGC 146 an, das war‘s. Die letzte halbe Stunde bis zum Mond 🌜 schenke ich mir. 
 
Die Temperaturen waren schon fast „deutschlandverdächtig“. Taupunkt mit 82% wurde erreicht und +2°C. Temperaturgefühl: sehr kalt.

[[<< Zurück zur vorangegangenen Nacht|04. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|06. Juni 2021 - Tivoli Astrofarm]]

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Schöne Bunte Farben. Dieses Jahr erst Anfang November.

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Und weiter geht's. Sogar im November. Unglaublich. Der beste Herbst, seit ich [[aufzeichne|Logbuch]].

!!Am Sonntag kommt die positive Vorhersage

Bin um 19 Uhr beobachtungsbereit. Klar, aber mit durchziehenden Zirren, die aus Westen und Südwesten anrücken. Im Hotel bin ich der einzige heute nacht. Das hat man mir direkt bei der Schlüsselübergabe gesagt. Etwas nervös fragt die Dame, ab wann Frühstück serviert werden soll. Schon klar, für mich allein. Ich beruhige, dass vor es acht nicht nötig sei. Frühestens ab 10 Uhr. Erleichtert erhalte ich den Schlüssel. 

Es scheint recht trocken zu sein. Bin also vermutlich über der Inversionschicht. Auch mal was. Erste SQM-L Messungen nur bei 20.98.

<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/45027058664/in/dateposted-public/"><img src="https://farm5.staticflickr.com/4844/45027058664_cccdc35137_c.jpg"></a>Mein Gott ist das hell! Aufnahme gegen 19:30 Uhr</div>

Das Seeing ist heute mies. Leider. Die Glückssträhne reißt. Und meteoblue hat unrecht, da sie gutes Seeing um 0.8‘‘ vorhergesagt haben, was definitiv nicht stimmt. Dafür ist es einfach zu schlecht. So esse ich meine Brote und hoffe, dass es aufklart. Gegen 22 Uhr spätestens, was zwei Stunden warten bedeutet. Aber nun gut.

Gegen 20:30 Uhr klart es langsam wieder auf. Mittlerweile ist Mathias eingetroffen. Winke mit meiner Rotlichtlampe.

!!Die Planetarischen Funzeln werden aufgesucht 

[[Kohoutek 3-73]]: Kleiner, runder Nebel. Bei 290 fach mit OIII nach Einsehen gut zu erkennen. Kann bis 430 fach vergrößert werden. Sieht wie ein typischer Abell aus. Westliche Kante heller. Gegenüber ist ebenfalls blickweise immer wieder hellerer Knoten auf dem Rand zu erkennen, der sich bei Beobachtung ohne Filter als kleiner, schwacher Stern entpuppt. 

[[Kohoutek 3-82]]: Dunkler als K3-73. Reagiert schlecht auf OIII. Besser ist UHC. Bei 430 fach als homogenes Scheibchen zu sehen. Kann indirekt knapp gehalten werden. Hin und wieder deutet sich ein gefüllter Ring an. Dies bleibt aber unsicher. Ohne Filter bei 430 fach auch schwach sichtbar. 

Das Seeing ist heute wieder sehr gut. Nehme alles gesagte und geschriebene vom Anfang zurück. Plötzlich wird es kalt und feucht. Die Scheiben am Auto beschlagen und trocknen wieder. Im Südwesten ist eine ortsfeste Hochnebeldecke über dem Rheintal bedrohlich sichtbar.

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Gegenschein über der Wasserkuppe kurz nach Mitternacht (Bildmitte). Unbearbeitetes Panorama aus ca. ein Dutzend Einzelaufnahmen. 

[[NGC 1931]]: Elliptischer, heller Nebel. Im Zentrum stehen drei helle Sterne, die ein gleichseitiges Dreieck bilden. Weitere vier Sterne im Nebelgebiet sind zu erkennen. UHC-Filter wirkt kontraproduktiv. Nebel kann bis 430 fach vergrößert werden. Seeing 2.

Nun ein paar Standardsachen: Flammennebel, M42 & Plejaden. Schön. 21.49 werden vom SQM-L jetzt gemessen. Gute Werte. Kann mich zu was größerem nicht mehr aufraffen. Leider. Der Himmel wird weiter dunkler. Wir erreichen jetzt stets 21.48 im Zenit. Der Himmel ist transparent und der große Hund auffällig am Himmel zu sehen. 

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Einen guten Mittelgebirgshimmel bietet die Wasserkuppe. Rechts unten die Hochnebeldecke über dem Rhein-Main Gebiet. Das Foto ist ein Panorama aus ca. ein Dutzend Aufnahmen und wurde nicht nachbearbeitet. Es zeigt einen realistischen Eindruck des Nachthimmels wie man ihn mit bloßem Auge wahrnimmt.

!!Endlich mal wieder Feldstecher 

Und der Gegenschein! Sieht zunächst wie durchziehende Zirren aus. Aber nein. Groß und oval und auffällig. SQM-L sekundiert 21.36. Im Zenit Richtung Norden sind es aber schon 21.46. Wir sitzen rum und quatschen. Wir zeigen uns gegenseitig ein paar Standardobjekte. Wunderschön diese Nacht. Ich zücke den Feldstecher. Viel zu wenig von mir genutzt. Und noch dazu liefert er traumhafte Bilder. Auch der Flammennebel ist durch ihn schon gut zu erkennen. Dann M42, M46 & M47. Einfach zum Genießen. Wir bleiben noch bis fünf Uhr und wundern uns über das recht auffällige Zodiakallicht. 

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Gegen neun werde ich leider schon wach. Gut geschlafen ohne weitere Gäste. Kein Türknallen. Die Baustelle draußen ist ebenfalls ruhig. Trotzdem ist an weiteren Schlaf nicht zu denken. Draußen ist alles wie ausgestorben. Auch kein Flugbetrieb. Betriebsferien. Frühstücke noch und dann geht es zurück nach Hause. Nebel liegt über den Tälern. Aber keine Nebeldecke.

[[<< Zur Nacht am 13. Oktober 2018|13. Oktober 2018 - Wasserkuppe]] | [[Zur Nacht am 15. November 2018 >>|15. November 2018 - Wasserkuppe]]

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Seit gestern ist es klar. Konnte die gestrige Nacht leider nicht nutzen. Ärgere mich immer noch, denn Mathias berichtet, dass außergewöhnlich gutes Seeing herrschte und auch kein Wind da war. Heute gibt es ordentlich Wind. 

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Bin zum Sonnernuntergang schon hier und kann deshalb pünktlich starten, da ich im Vorfeld der Nacht schon alles aufgebaut habe. Himmel ist blitzblank. 

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Bevor es aber losgeht, mache ich mich auf zum Gipfel um den Sonnenuntergang wie viele andere auch zu sehen. Geniale Stimmung. Die Paraglider sind schon weg. Vereinzelt trifft man Sie aber noch an, schwer bepackt mit dem Gleitschirm auf dem Rücken.

Genialer Erdschatten ist zu sehen und die Milchstraße bis runter zum Horizont. Mathias trifft zur astronomischen Dämmerung ein.

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Erstes Objekt ist heute [[NGC 6891]]: Schon bei 65 fach als „verdächtiges Objekt“ erkennbar. Hell mit abgesetzter innerer Schale. Bei 1000 fach und sehr gutem Seeing wird blickweise der ZS immer wieder sichtbar und in Momenten perfekten Seeings auch ein nahezu runder, gefüllter Ring. An diesen schließt sich dann der helle, aber gut begrenzte Halo an.

<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/45086028802/in/dateposted-public/" title="Wintermilchstraße über der Wasserkuppe"><img src="https://farm2.staticflickr.com/1980/45086028802_8beb8ff0a7_h.jpg" alt="Wintermilchstraße über der Wasserkuppe"></a>Wintermilchstraße mit Weichzeichner aufgenommen.</div>

Mathias ist skeptisch und warnt vor der Beschreibung nicht gesehener Details. Ich lasse mir mit dem Objekt aber Zeit und bin mir sicher. Insbesondere habe ich mich auch nicht vorbereitet, d.h. KEIN Foto etc. vorher gesehen. Zeiche das Ganze und vergleiche später. Und ja das passt! Volltreffer.

Als nächstes sprechen wir über NGC 6210. Ich erzähle von meiner Beobachtung mit 25 Zoll vor zwei Monaten in Namibia. Spontan stellen wir ihn am 14 Zöller ein und halten mit 1000 fach drauf. Die wichtigsten Merkmale sind zu erkennen, so die Ovale Grundform und die östlich und westlich angrenzenden Knoten. ZS nicht zu sehen, was mir mit 14 Zoll auch noch nicht gelang. Von „Flossen“ der Turtle nix zu sehen. Ich vermute, dass dafür das Seeing noch besser sein muss. Es ist heute 1-2 würde ich schätzen. Für die Turtle braucht man aber 1+!

Plötzlich zischt eine helle Sternschnuppe 🌠 über den Himmel. Hell und mit Gasschweif. Fantastisch.

Das nächste Objekt ist ein Klassiker: BD +30 3639 - "Campbell's Hydrogen Star" oder auch [[Henize 2-438]]. Recht heller Stern, der bei 1000 fach von einem Halo umgeben ist. Dieser ist gut begrenzt und zeigt nördlich und südlich hellere Segmente. Rand tatsächlich etwas heller. 

Mathias hat den Deep Sky Guide dabei. Ein sehr schönes Werk mit Super Zeichnungen der bekannten Bebachter R. Stoyan und [[Uwe Glahn|http://www.deepsky-visuell.de]]. Ich bin begeistert und werde mir das Werk ebenfalls zulegen. Mir passiert als nächstes ein Malheur: Teleskop neigt sich schnell und ich kann es nicht mehr rechtzeitig auffangen: Tubus springt aus der Rockerbox. Bin total sauer. Mathias beruhigt. Alles verstellt. Hut muss ab, Stangen locker gemacht und neu aufgebaut. Jetzt passt wieder alles. Schreck lass nach. Bin immer noch voll von der Rolle.

Nächstes Objekt ist [[IC 5217]]: Doppelknoten an der richtigen Stelle sichtbar. Hell, etwas oval, sternförmig, aber leicht gedimmt bzw. besser gesagt, nicht so gut definiert, beim Vergleich mit gleich helleren Sternen. Daher von Feldsternen klar unterscheidbar. Ist in länglichen Halo eingebettet.

Der Wind lässt nach. Zum Glück. Letztes Objekt ist ''Hubble 12'': Helles, aber absolut sternförmiges Objekt auch bei 1000 fach. Jetzt doch noch eine Zugabe: noch mal Simeis 147 um HD 246646. Ich war ja am [[11. September 2018|11. September 2018 - Wasserkuppe]] leider nicht dazu gekommen. Nur in Mathias 21 Zöller war was zu sehen.

Siemeis 147 um HD 246646: Schwierig im 14 Zöller. Beobachte mit OIII bei 65 facher Vergrößerung. Detail D6 ist nicht zu erkennen. Daher auch negativ gewertet.

Um 04:30 geht der Mond auf. Mathias ist ruck zuck weg. Heute gibt es leider keine Zimmer. Muss noch 1.5 h Auto fahren. Wird sehr hart. Nehme bei der Abfahrt von der Autobahn noch einen Blitzer mit. Irgendwie war heute der Wurm drin.

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[[<< Zur Nacht am 11. Septemer 2018|11. September 2018 - Wasserkuppe]] | [[Zur Nacht am 13. Oktober 2018 >>|13. Oktober 2018 - Wasserkuppe]]

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Die Nacht. Heute muss alles nachgeholt werden. Das All Sky Timelapse auf dem Roque, dass über die gesamte Nacht gehen soll. Brauche das Stativ aber auch für Weitfeldaufnahmen, denn die fehlen mir noch. Muss verschoben werden. Das Timelapse geht vor. Heute ist auch Samstag. Deshalb bin ich früh da, was sich noch als Fehler herausstellen sollte.


<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/m516gL" title="Untitled"><img src="https://live.staticflickr.com/7825/47527087002_e16a09961d_k.jpg"></a><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/H2UAZf" title="Untitled"><img src="https://live.staticflickr.com/7875/40607348533_8ad4724573_k.jpg"></a>Oben: Das aufgebaute Teleskop. Unten: Immer mehr Leute treffen hier ein und wollen nicht wieder gehen.</div>

Bedingungen sind excellent. Trocken. Im Moment noch windig, soll aber komplett zurück gehen. Habe auch überlegt eine Nacht oben zu verbringen und dann wieder verworfen. Denn wenn es doch zuzieht, was aufgrund der letzten Tage ja tatsächlich auch eine realistische Option ist, sitze ich drinnen fest. Also lieber nicht. Und Beobachtungszeit für die Versteckaktion geht auch nicht drauf. Besser so.

Also wieder auf meiner „Halde“. An der Straße und auf ca. 2200 üNN gelegen. Ich baue auf und sichere den Platz. Ein Fehler, denn zuerst kommt ein Pärchen. Teleskop steht schon. 

Machen auch keine Anstalten zu fahren. Noch jemand kommt und fragt zumindest, ob er auch hier aufbauen könne. Ich empfehle andere Plätze und lege mich dabei richtig ins Zeug. Ok, der fährt wieder und zwar zum neuen Besucherzentrum, wo man eine herrliche Aussicht hat. Ok, er fährt. Nächste kommt und parkt. Flo ist es und während ich ihn überzeuge in die andere Richtung an den Mirador des Andenes zu fahren, versucht noch jemand zu parken, fährt dann aber weiter. Oh Mann, was für ein Stress. 

Die Leute glauben, wenn hier ein Typ (ich) mit einem Teleskop steht, gäbe es hier irgendetwas besonderes. Sie werden davon angezogen. Das mit dem Sichern des Platzes im Vorfeld hat also super geklappt. 😫 

!!Auf den Platz kommen immer mehr Leute

Alle sind weg außer dem Pärchen. Auch das wird noch überzeugt. Dauert ewig, aber dann sehen sie es ein. Und wirklich: Es gibt bessere und schönere Aussichtspunkte für die hereinbrechende Nacht als diese planierte Schutthalde am Rande der Straße. Sind weg. Mann Oh Mann. 
Flo ist aber wieder da. Verspricht kein Licht zu machen und will auch visuell beobachten. Ok. Er bleibt. Die Nacht bricht herein. Wieder ein Auto. Zwei junge Männer aus Teneriffa. Einer in kurzen Hosen. Die gehen nicht einfach wieder weg. Die wollen ein Programm und Astronomen beim Beobachten zu schauen! Ich mache den Maschinisten. Erkläre und zeige das Zodiakallicht. Dann M35 im Teleskop. Leo-Triplet. Sind zufrieden über die Performance. Und sie fahren!!!

!!Ruhe kehrt ein

Mache mich mit Flo bekannt. Hat auch einen Sumerian Alkaid. 12 Zoll er. Ich 14. Ich beginne mit meiner Beobachtungsliste, die stramm ist. Ist auch schon 20 min nach der astronomischen Dämmerung. Die Vorführung hat mich also auch noch wertvolle Beobachtungszeit gekostet. Runterkommen. 

!!Kalt und feucht ist es

Temperaturen fallen direkt auf 0 °C und knapp darunter. Luftfeuchte die ganze Nacht um 90%. Aber trotzdem bleibt alles relativ trocken. Weiter oben am Magic sind es die ganze Nacht mit 75% weniger. Was so ein kleiner Höhenunterschied so ausmachen kann. SQM-L beginnt mit Werten um 21.65. Flo schaut M51 ich beginne mit NGC 2242.

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Das Bild zeigt den sehr jungen Mond 🌒.

[[NGC 2242]]: Im Sternfeld bei 65 fach nicht auszumachen. Reagiert nicht auf OIII. Kann bis 430 fach vergrößert werden. Dann zeigt sich ein diffuses Glimmen um einen sehr, sehr schwachen Stern. Dies scheint der ZS zu sein. Zunächst als einfacher, unscheinbarer Glow. NW steht ein ebenfalls sehr schwacher Stern. Ähnlich wie der ZS. Wenn man sich eingesehen hat zeigt sich ein nahezu runder, ganz leicht ovaler, aber schwach definierter Ring, der weiterhin in einen diffusen Halo bzw. Glow eingebettet ist. Auf dem Ring sind keine weiteren Strukturen erkennbar. Die Ringstruktur ist indirekt schwer zu sehen.

Mega Himmel. Seeing Top. 0.5“ laut TNG. Wahnsinn. SQM-L 21.95.

[[IC 2184]]: Verschmelzende Galaxien. Bei 65 kleiner, verwaschener Fleck. Wie ein PN. Bei 430 fach zeigt sich nach geduldiger Beobachtung sehr deutlich ein V, auf dem sich drei stellare Knoten verorten lassen. Zwei liegen am Ende des V‘s einer knapp vor der Spitze. An den Ende des V‘s gehen kurze neblige Ansätze ab, die das V dann zum Dreieck machen würden. Dazwischen bleibt aber gut erkennbarer Leerraum. Deshalb V und kein Dreieck. Eingebettet ist das ganze in einen schwachen, diffusen Hintergrund.

!!Die Highlights des südlichen Himmels werden angefahren

Erstaunlich, was man da erkennen kann. Hätte ich nicht gedacht. SQM-L 21.96 im Zenit. 21.9 um Polaris. Ich schlage Flo Objekte vor, die er einstellt. So auch M83. Er schaut bei sich, dann bei mir. Erläutere die Spiralarme. Da wird es aber schwierig für ihn. Bin dennoch erstaunt, dass er das sehen kann als Einsteiger. Bei M83 bei sehr gutem Seeing werden die wunderschönen Spiralarme sichtbar. Ziehe zwar auch auf gesichtsformatfüllende 430 fach hoch. Aber die Strukturen in Kernnähe bleiben mir beim kurzen gucken verborgen. 

Ich schlage Flo die Antennengalaxien vor. Er stellt sie ein. Ich bin weiter zu K 1-22 unterwegs. Bin eigentlich überrascht, dass ich diesen PN noch nicht beobachtet und gezeichnet hatte. Flo ist irgendwie von der schrägen Bezeichnung beeindruckt.

[[Kohoutek 1-22]]: „Südlicher Eulennebel“. Steht sehr tief. Aber nicht zu tief. Relativ großer PN. Bei 65 fach nur zu sehen, wenn man weiss wo man schauen muss. Dann aber eindeutig. Reagiert gut auf OIII. ZS ist erkennbar, allerdings mit sehr viel Mühe. Und nur ohne Filter. Darüber hinaus ein Stern in Randnähe. Etwa gleich hell. Es zeigt sich mit OIII-Filter ein runder bis leicht ovaler Nebel mit zwei zum Zentrum liegenden symmetrischen in NW-SO Richtung liegenden zitronenförmigen bzw. blickweise abgerundeten, dreieckigen Nebelschalen, die heller sind. Sie zeigen aber keine Strukturen, außer einer Helligkeitszunahme zur Mitte hin. Sie werden vom schwachen diffusen Nebelhintergrund noch etwas überragt. Beste Vergrößerung 144 fach. Filter: OIII. 

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46863320514/in/dateposted/" title="Flo bei der Beobachtung mit dem 12 Zoll Alkaid"><img src="https://live.staticflickr.com/7859/46863320514_d488a3f5fc_h.jpg" alt="Flo bei der Beobachtung mit dem 12 Zoll Alkaid"></a>Flo bei der Beobachtung mit seinem nagelneuen 12 Zoll Alkaid.</div>

Flo sieht sich das Teil auch an. Kann aber nichts so recht damit anfangen. Sehr schwach das Ganze. Ja, kann man so sagen. Wir schauen hin und wieder bei ihm am 12 Zoll. Sieht alles recht ähnlich aus. Ich muss weiter machen.

[[PGC 35129 (Arp 151)]]: Neben einem hellen Stern wird ein schwacher Stern sichtbar. Es handelt sich aber hierbei um PGC 35129. Abgehend zeigt sich ein Strich, der nach ca. 1/3 des Weges deutlich schwächer wird und nur noch erahnbar ist. Das hellere Drittel ist indirekt knapp zu halten. Der schwache Teil geht bei 290 fach besser und kann dann ebenfalls indirekt gerade so gehalten werden. Etwas abseits wird eine kleine linsenförmige Galaxie sichtbar. Gerade so erahnbar. 430 fache Vergrößerung. 

21.85 im Zenit. Die Werte brechen immer mal wieder ein. Im Norden ist auch eine Wolkenbank mit Zirren vorbeigezogen. Flo ist gut unterwegs. Er schafft es die Objekte auf Anhieb einzustellen. Respekt!

[[NGC 4933 aka Arp 176|NGC 4933 (Arp 176)]]: Hammer! Zunächst wird ein erdnussförmiges Objekt mit zwei hellen Zentren sichtbar. Das hellere und größere gehört der A Komponente, das andere kleinere der B. Nach geduldiger Beobachtung wird auch die C Komponente als kleiner, runder bis leicht ovaler Ball neben dem hellen Zentrum von A sichtbar. Dies ist aber schwer zu erkennen. Noch schwerer ist in direkter Nähe PGC 45169, die nur hin und wieder aufblitzend erkannt werden kann. Erstaunlich, denn in Sky Safari wird sie mit 15.28 mag angegeben. Was vermutlich nicht stimmt, denn sie wirkt wie eine 16 mag Galaxie bzw. jenseits davon. Für die C Komponente neben dem Zentrum von A werden sogar weniger aufgerufen, nämlich 15.89 mag. Auch seltsam, da mit Sicherheit heller vom visuellen Eindruck her.

!!Der Sommerhimmel ist da

Die Luft ist raus. Da sind noch viel mehr Objekte in meiner Liste gewesen. Und ich möchte mehr Eindrücke mit bloßem Auge jetzt sammeln. Es wird ein bisschen gebabbelt. Flo erzählt, er sein in Tijarafe untergebracht. Mit Freunden da. Früher konnte er gut am Haus beobachten. Mittlerweile gibt es interessanterweise dort auch Straßenbeleuchtung. Alles natürlich konform. Nach unten mit rotem bzw. orangenem LED. Aber früher gab‘s nichts. 

Ich dirigiere Flo zu den Schaustücken des Sommerhimmels, denn der ist jetzt mächtig da. Unglaublich. Stelle sogar auf Anhieb den „Tintenklecks“ am Teleskop ein, was direkt gelingt. Bin selbst ganz baff. Mache parallel zu Flo‘s Beobachtungen endlich Aufnahmen mit der astromodifizierten Sony A6000 DSLR. Muss mit dem Hocker gehen, denn das Stativ ist ja belegt. Morgen dann auch mit Stativ und ohne Hocker. Trotzdem gelingen mir direkt schöne und gute Aufnahmen. Zumindest was das kleine Vorschaubild so zeigt. Mit der Bearbeitung der rotverschobenen Aufnahmen muss ich halt dann mal zu hause schauen. Irgendwie gelingt jetzt alles. Ein Objekt gebe ich mir kurz vor der Dämmerung.

[[IC 4670]]: Winziger PN. Bei 65 fach nicht von den Feldsternen unterscheidbar. Aber recht hell. Kann bis auf 800 fach hochgezogen werden. Es zeigt sich dann ein winziger Ring mit vier Knoten. Einer davon sitzt auf dem nördlichen Rand und ist der hellste. Kein ZS.

Die Dämmerung hat bereits eingesetzt. Jupiter und Saturn: Wunderbare Rausschmeißer. Seeing ist nicht mehr Top. Venus kommt hinter dem Bergrücken hoch. Wir haben zusammen gepackt und verabschieden uns. Wunderbare Nacht und Erlebnis zusammen mit Flo. So muss das sein. Achteinhalb Stunden visuelle Beobachtung. Geil.

[[<<Zurück zur vorangegangenen Nacht|05. April 2019 - La Palma]] | [[Weiter zur nächsten Nacht >>|07. April 2019 - La Palma]] 

Dürre, Trockenheit ohne Ende. Trotzdem gibt es immer wieder Bewölkung und der Himmel ist nicht wirklich klar. Erst am 6. August haben wir die erste schöne Sommernacht. Diese wird leider schon durch den Mond geprägt, der schon das erste Viertel weit hinter sich gelassen hat aber aufgrund der geringen Höhe über dem Horizont am Ende doch kurz nach Mitternacht schon untergeht. So bleiben immerhin etwas mehr als drei Stunden echte Nacht. Ohne Mond wären es schon viereinhalb. Die Seeingvorhersage springt seit Tagen hin und her, von schlecht bis sehr gut und final heute auf mittelmäßig. Außer [[Skippy|http://www.skippysky.com.au/Europe/ ]] bleibt bei seiner Prognose und sagt quasi perfekte Seeingbedingungen voraus. Dies ist auch der Grund, warum ich heute mit „großem Besteck“ raus fahre, denn für diese kurze Beobachtungszeit heute lohnt es sich eigentlich nicht. Hatte ursprünglich auch Stumpi im Auge, aber am Ende treffe ich mich mit Mathias am Schwarzen Moor.

!Sonnenuntergang auf der Wasserkuppe 

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Wir kommen noch rechtzeitig zum Sonnenuntergang auf der Wasserkuppe an. Traumhaft! Kurz danach verpassen wir sogar den Erdschatten, aber können erkennen, das es heute ungewöhnlich klar ist.

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Neben „dem Dicken“ habe ich auch ein neues Okular dabei und gezwungenermaßen auch einen dazugehörigen Zenitspiegel. Es handelt sich dabei um das 3 Zoll 100° Okular von Explore Scientific, das es in einer Aktion für 799 € zu kaufen gab. Da habe ich natürlich zugeschlagen und auch den 3 Zoll Zenitspiegel geordert. Ja, ich weiß es ist idiotisch und es bleibt idiotisch! Wer mehr zu der Kombi insbesondere zum eingesetzten Teleskop erfahren kann ja sich diesen [[Artikel|Idiotische Sachen machen - 3 Zoll Oku an 4 Zoll Refraktor!]] durchlesen. 😵‍💫

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:5px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/b98gaDt2rp"><img src="https://live.staticflickr.com/65535/52269337746_21fa900429_h.jpg"></a> Das Okular wirkt größer als mein Sohn, ist es auch, na nicht ganz. 😅 die Unterhose 🩲 vorne hält einen Mulipackung Handwärmer, die als Gegengewicht zum Okular dient. </div>

Vor circa einem Monat gab es die letzte Beobachtungsnacht, allerdings in Namibia. Bin auch schon ganz gespannt, wie enttäuscht ich über den deutschen Himmel sein werde. Ich hoffe nicht allzu stark. Plan ist übrigens heute durchzumachen und dann um vier Uhr wieder Richtung Heimat zu düsen. Ist hart, aber hier rumzuhängen ist auch nicht viel besser. Heute ist auch mein Sohn dabei. Wir haben gefühlt unseren gesamten Hausstand im Auto. Es war auch nur ein Mietwagen erhältlich, der eigentlich - so denke ich - für Umzüge gedacht ist. 

!3 Zoll 100° Okular am TMB 100/800

M31 ist echt der Hammer! Das vier Grad große Gesichtsfeld wird quasi vollständig von der Galaxie eingenommen. Die Begleitgalaxien sind sehr gut erkennbar, und Größe und Erscheinung schon gut unterscheidbar. Das Staubband ist diffus sichtbar. Einfach Klasse. Setze an dem anderen „Arm“ einen Pentax SDHF 75 ein. Mit dem Pentax XL 40 mm komme ich auf 12x Vergrößerung. Ein schöner Sucher!

Mizar und Alcor sind bereits im Pentax gut zu erkennen. Aber der Doppelsterncharakter von Mizar nicht. Mathias sekundiert „leicht länglich“. Das geht nur mit 27x im 4 Zöller. Sieht Mega aus. Dito, h und chi-Perseii.

!Themenschwerpunkt Andromeda-Galaxie

Ich arbeite aktuell auch einen Artikel zur visuellen Beobachtung der Andromeda-Galaxie. Hierfür möchte ich einige der Objekte, die ich selbst im  Artikel erwähne, natürlich beobachten. Die meisten kenne ich natürlich, aber die Beobachtungen liegen zum Teil Jahre zurück. Darüber hinaus steht auch [[R-Aquarii|Ced 211 um R Aquarii]] auf dem Programm, jetzt allerdings mit 21 Zoll, also 4 Zoll geringerer Öffnung und geringerer Höhe.

Erstes Objekt ist M57 oder der Ringnebel. Seeing ist gut, der Zentralstern ist fast immer direkt sichtbar.

Dann mache ich mal wieder was, was eigentlich idiotisch ist. Ich will schnell ein Objekt „einschieben“, d.h. schnell mal was „nachschauen“. In diesem Fall ist es Laevens 3. Mache ewig rum, bis ich den richtigen Stern identifiziert habe. Erkenne was, um dann später festzustellen, dass die Position gar nicht stimmt. Hin und her und Frust, so läuft das. Besser gesagt, nicht! Ich breche schließlich ab, um jetzt wirklich auf M31 zu gehen.

![[M 110 mit Kugelsternhaufen G73|M 110 & G73]] & M 32 

Im 3 Zoll Refraktor bei 12x mit circa 5,2° Gesichtsfeld füllt die Andromeda-Galaxie etwas mehr als dreiviertel des Gesichtsfeldes aus, so dass die Galaxie auf 4° anwächst. Am besten schaut sie jedoch bei 27x im vier Zöller aus. Im 21 Zöller zeigen sich die Begleiter M32 und M110 hell mit stellaren Zentren. M110 zeigt sehr diffuse Dunkelstrukturen parallel zum Galaxienkörper auf einer Seite, und auf der anderen Seite einen ovalen, orthogonal dazu stehenden ovalen „Spot“. Das markante Dunkelband ist bereits im 4 Zöller schwach erkennbar, aber noch nicht augenfällig. G73, ein Kugelsternhaufen, der zu M110 gehört, ist mit 21 Zoll leicht erkennbar, sowohl bei 231x als auch bei 378x. Bei 378x zeigt sich auch eindeutig, dass es sich nicht um einen Stern handelt, sondern um ein flächiges Objekt, allerdings mit stellarem Kern. M31 zeigt bereits im Refraktor einen sehr hellen diffusen Zentralbereich mit stellarem Zentrum. Im 21 Zöller ist M32 kleiner aber deutlich heller als M110, auch was das stellare Zentrum angeht.

Mit bloßem Auge ist M31 ebenfalls sehr eindrucksvoll. Langgezogener Nebel mit hellem und bei geduldiger Beobachtung fast sternförmig anmutendem Zentrum.

![[NGC 206 - die hellste Sternwolke in M31|NGC 206]]

Es geht zur bekannten Sternassoziation, nicht zum Offenen Sternhaufen, denn dies ist NGC 206 natürlich nicht. Korrigiere Mathias diesbezüglich und ich doziere weiter, nämlich zu beobachtbaren Einzelsternen. Bekannt ist Stern 12 nach Odewahns Paper aus dem Jahr 1986. Er hat die Einzelsterne katalogisiert, zumindest in seinem Paper. Massey hat 1998 in einem Artikel mit M31ob78-719 (bzw. 2MASS J00403123+4044526) einen weiteren OB-Riesen identifiziert. Beide sind etwas schwächer als 16 mag und sollten damit visuell erreichbar sein. Vermutlich ab 16 Zoll, 12 sogar mit 12 Zoll. Ich kann 12 ohne Probleme erkennen, wobei er sich leicht flächig zeigt, so dass man wohl, wie zuletzt in einem Paper (2010) vermutet, von einem Offenen Sternhaufen ausgehen muss, wenngleich offiziell 12 sogar als Kugelsternhaufen klassifiziert ist. M31ob78-719 ist deutlich schwieriger ist und bei gutem Seeing immer wieder sofort klar und deutlich aufblitzend erkennbar, wohingegen 12 direkt sichtbar ist. Ich setze schließlich Vergrößerungen von 83, 231 und 378x ein. Insbesondere sind bei 231x der „Doppelcharakter“ zweier prominenter Sternklumpen  in NGC 206, die zwar keine Offenen Sternhaufen darstellen, aber dennoch an h und chi-Persei erinnern. Innerhalb dieser sind blickweise grießige Sternklumpen erkennbar, die innerhalb der „h & chi-Haufenstrukturen“ liegen. Insgesamt ist NGC 206 übrigens bei 83x länglich, diffus mit Strukturen sichtbar, wenngleich man letztere besser bei 231x zuordnen und erkennen kann.

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Die Zeit drängt, Pausen sind nicht gestattet. Trotzdem messe ich kurz den Himmel durch. Es bleibt leider nur bei 21.46 und das konstant. Die Bedingungen sind praktisch optimal, wenngleich sich im Nachhinein herausstellt, dass wir offensichtlich mit Airglow zu „kämpfen“ haben. Das passt auch zum Himmel, der irgendwie seifig wirkt, wenngleich die Lichtverschmutzung sich deutlich reduziert zeigt, erkennbar im Blick nach Norden bzw. Nordosten, wo die Milchstraße heute ab ca. 10° über dem Horizont schon erkennbar ist. Hin und wieder blöken die Kühe 🐄. Dann ist wiederum das Schnarchen 😴 meines Sohnes zu hören, der auf einer Isomatte und mit einem Schlafsack schon vor Monduntergang „eingeknäckt“ ist. Es ist recht angenehm, trotz +7° C, denn die Luftfeuchtigkeit bleibt bei nur 70%.

Interessant sind auch die Belichtungszeiten bei meinen Aufnahmen. Praktisch brauche ich nur die Hälfte der Belichtungszeit im Vergleich zu Namibia, um die gleiche Bildhelligkeit zu erreichen. Zum Teil muss ich auch die ISO um die Hälfte senken. Der Effekt ist größer als eine Blende, d.h. astronomisch mehr als eine Größenklasse!

!Die [[Kugelsternhaufen G1 und G2|G1 & G2]]

Etwas hakelig beide aufzufinden, wenn man aber G1 gefunden hat, hat man auch den anderen, denn dieser steht nicht weit entfernt. G1 ist wirklich hell, zumindest mit 21 Zoll. Es zeigt sich bereits bei 83x ein nebliges Objekt, und bei 378x interessanterweise dann ein winziger Nebel mit sternförmigen Zentrum, der aber in seinen Außenbereichen von Vordergrundsternen eingerahmt wird. Sie bilden ein kleines, fast gleichseitiges Dreieck.

G2 hingegen ist deutlich schwieriger. Positive Sichtungen sind mir nicht bekannt. Trotzdem versuche ich es. Bei 378x kann ich zunächst außer Vordergrundsternen leider nichts erkennen. Also mache ich eine Skizze. Im Nachhinein identifiziere ich das Sternfeld in Aladin und vergleiche am nächsten Tag mit dem POSS-Bild. Positive Sichtung, denn einer der Sterne auf der korrekten Position ist definitiv G2. Mit 15,8 mag auch definitiv im Bereich von 21 Zoll. Im übrigen steht G2 neben der Galaxie UGC 330, die als Referenzpunkt zum Aufsuchen sehr praktisch ist und etwa 14,3 mag hell ist. 

Mathias ruft rüber: Die Plejaden sind da! Ja, sind sie. Der Winter kündigt sich an. Der Fuhrmann ist auch bereits aufgegangen. Der gelborangene Punkt neben den Pejaden ist übrigens Mars. Nördlich steht sogar Uranus. Wer kann ihn erkennen?

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Die Beobachtung zieht sich quasi bis zu Beginn der Dämmerung hin. Es wird auch schon schnell hell. Dann habe ich zum Glück die Skizze „im Kasten“. Für [[R-Aquarii|Ced 211 um R Aquarii]] bleibt natürlich heute keine Zeit mehr. Mathias scharrt schon mit den Hufen und möchte nach Hause. Er bekommt das „Go“ Licht zu machen und düst ab.

Auf der Autobahn, praktisch während der Dämmerung, muss ich erkennen, dass es offensichtlich hohe Schleierwolken gibt. Unklar ist, ob diese auch möglicherweise den Himmel die Nacht beeinträchtigt haben. Laut Wetterstation auf der Wasserkuppe, aber nicht. Wie auch immer, es war eine gute, aber kurze Beobachtungsnacht.

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Wie jeden Tag. Klar. Kein Wind. Angenehm warm. 20 Uhr steht ein Transit des Jupitermond Io an. Bis jetzt habe ich 27 Objekte gezeichnet. Muss ein bisschen auf die Tube drücken. Habe mich auch viel mit der Weitfeldaufnahmenfotografie aufgehalten. Muss das denn sein? Ja, es muss.

!!Wieder Klar. Sehr gute Bedingungen.

Heute beginnt der Mond an zu nerven. Bis 21:30 Uhr wird er nicht weichen. Zwei Stunden Beobachtungszeit weniger. Aber: Hätte die bisherige Beobachtungszeit auch einfach besser nutzen können. Zunächst beobachte ich den Mond und auch den Transit von Jupitermond Io.

!!Transit von Io

Io zieht mit seinem Schatten voran vor die Jupiterscheibe. Wie vor ein paar Tagen. Seeing ist gut, aber nicht sehr gut. Trotzdem immer wieder schön anzusehen und beeindruckend.

!!Mond ist weg. Es ist wieder richtig dunkel.

[[NGC 6717 = Palomar 9]]: Auch als NGC 6717 bekannt. Es werden neben 35 Sagr, einem 5 mag hellen Stern, ein kleiner KS sichtbar. Bei 670 fach werden etwa zwei Dutzend Sterne sichtbar, der hellste im Zentrum, auf einem Balken liegend. Der KS ist dabei vollständig aufgelöst. Ein etwas schwächerer aber fast gleich heller auf dem Rand. Form Eher Viereckig und nicht rund. 

!!IC 4593 am Nordhimmel wird eingestellt

[[IC 4593]]: Bei 100 fach ist ein winziger Nebel um einen Stern erkennbar. Ist bei 670 weiterhin gut sichtbar. Dabei zeigt sich ein Nebelwölkchen um einen Stern. Bei 1200 fach zeigt sich eine innere, sehr helle Nebelschale. Diese ist im Westen und Osten ausgeprägter und heller. Außerhalb der inneren Nebelschale zeigt sich der PN gefüllt mit diffusem Nebel. Die äußere Hülle ist geprägt von diffusen, helleren Nebelwölkchen, wobei die nördliche weiter ausläuft als die anderen, die jeweils mehr oder weniger kurze diffuse Balken in jeder Himmelsrichtung verteilt, zeigen. Diffuser Halo im Anschluss an die äußere Hülle westlich. Seeing 1-2.

SQM-L 21.98 um 05:30 WAT im Sternbild Grus.

Parallel mache ich eine Pano von der schönsten Region des Sternenhimmels ⭐️

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48358273932/in/dateposted/" title="Core Center"><img src="https://live.staticflickr.com/65535/48358273932_8896427482_k.jpg" alt="Core Center"></a>

Als nächstes gibt es ein wechselwirkendes Paar von Galaxien.

„NGC 454 ist ein wechselwirkendes Galaxienpaar im Sternbild Phönix, welches etwa 158 Millionen Lichtjahre von der Milchstraße entfernt ist. Das Paar besteht aus einer elliptischen Galaxie (östliche Komponente, NGC 454E) und einer irregulären Galaxie, die möglicherweise auch eine Scheiben-Galaxie sein könnte (westliche Komponente, NGC 454W).
NGC 454 wurde am 5. Oktober 1834 von John Herschel entdeckt.“ (Quelle: [[Wikipedia|https://de.m.wikipedia.org/wiki/NGC_454]])

[[NGC 454]]: Es zeigen sich i.W. zwei Galaxien, die in einem rechten Winkel zueinander stehen. Eine hat ein helles diffuses Zentrum und ist spindelförmig. Die andere hat ebenfalls ein diffuses, aber rundes Zentrum und einen abgehenden Schweif nach Süden hin. Nördlich zeigt sich der Gezeitenschweif der Nachbargalaxie, der westlich am Zentrum vorbeigeht. Kein ganz einfaches Objekt.

Am Ende richtig kalt mit +2.5° C und fast 50% Luftfeuchte.

[[<<Zurück zur vorangegangenen Nacht|05. Juni 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|07. Juni 2019 - Tivoli Astrofarm]]

Gute Transparenz haben wir all die Tage. Sehr gute hingegen nicht. Trotzdem ist der Erdschatten immer wieder ein Genuss.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/65H458" title="Untitled"><img src="https://live.staticflickr.com/65535/51333900892_12926c0b41_k.jpg"></a>

In Deutschland würden wir bei so einem Erdschatten „durchdrehen“.

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Zweite Nacht ist jetzt rum und die dritte bricht an. Morgen sollen Wolken kommen. Dann sind wir zu den HESS-Teleskopen unterwegs. Mal sehen wie lange ich heute machen werde. Heute steht erstmal der Genuss im Vordergrund. 

Ich starte mit der dem Horizont entgegenstrebenden Großen Magellanschen Wolke. 

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Y9b36Q" title="Untitled"><img src="https://live.staticflickr.com/65535/51303564360_c0a05c3a8e_h.jpg"></a></div>

Erstes Objekt ist [[NGC 2452]]: Schon bei 100x gut als runder Nebel erkennbar. Kann ohne Probleme auf 670x vergrößert werden. Es zeigen sich zwei parallele, kaum gebogene Nebelstreifen, in denen - wie Perlen - zwei und drei hellere Knoten eingelassen sind. Der Nebel ist Ost-West ausgerichtet und läuft nach Osten hin stärker aus. Nach Süden hingegen diffus ohne Begrenzung. Seeing 2-3.

Weiter geht es zu  einer Nachbeobachtung. [[NGC 6026]]: Die Nachbeobachtung zeigt, dass im helleren, westlichen Nebelteilring drei „Wolken“ liegen, mittig und an den auslaufenden Rändern.

Der Wind nimmt weiter zu. Das Seeing bricht ein. Ich beobachte mittlerweile Standardkerzen. Beeindruckt sind Hubert und ich von M17, dem Omega- bzw. Schwanennebel. 

Heute ist es deutlich angenehmer. +8.5° C bei 54% Luftfeuchte.

![[NGC 6589 & 90]]

Ich surfe weiter durch die Gegend. Ich bleibe mal hier und da hängen. Jetzt ist es IC 1283/84 bei M24. Die beiden Nebel wollte ich schon seit Jahren zeichnen und bin immer wieder weiter gezogen. Jetzt scheint der richtige Moment gekommen zu sein: Runde, helle Nebel bei 100 fach. Ideal für die weitere Beobachtung sind 125x. Beide Nebel wirken etwa gleich hell, wenngleich einer der beiden eine vom Stern abgehende Fahne zeigt, die in eine helle Kante mündet, die orthogonal steht und gleichzeitig den Nebel an dieser Stelle hart abgrenzt. Die anderen Richtungen laufen hingegen diffus aus. Die Gesamtform bleibt rund bis oval. Der andere Nebel ist etwas kleiner und beherbergt zwei hellere Sterne, die in eine hellere kapuzenförmigen inneren Teil eingebettet sind. Äußere Teile wieder diffus auslaufend. Schöne und selten beobachtete Nebel.

__Kommentar:__ Tatsächlich handelt es sich um NGC 6589 & 90. IC 1283/84 liegt direkt nördlich und ist ein Emissionsnebel, wobei IC 1284 der südliche Teil von 1283 ist. Die anderen beiden sind Reflexionsnebel. Daher ist die korrespondierende Zeichnung auch falsch gelabelt.

Die nächsten Standardkerzen locken: M24, B92, dann M17 oder der Omeganebel. Hier bleiben Hubert und ich hängen. Sehr beeindruckend wie hell und strukturiert der Nebel tatsächlich ist. Wir schauen uns das Ganze im 20 Zöller an. Auch sehr schön.

Ich surfe dann die Eta-Carinae Region an. Auch nett. Bleibe schließlich an „Gem-Cluster“ hängen. 

![[NGC 3293 - „Gem-Cluster“|NGC 3293 - Gem-Cluster]]

Dieser schöne Offene Sternhaufen beherbergt südwestlich des Zentrums einen hellen, orangenen Stern, wohingegen die anderen Haufenmitglieder eine weiße Farbe haben. Einige schimmern auch weiß-bläulich. Die Sterne bilden kurze, gerade und wenige unregelmäßige Ketten. Anzahl schätze ich auf etwa 50 Mitglieder, die im 25 Zöller bei 100x zu sehen sind, wobei unklar ist, wo der Haufen tatsächlich aufhört. An seiner Nordseite ist ein ganz zarter, länglicher Hauch eines Nebels zu erkennen, der großräumig den Sternhaufen zu streifen scheint. Es handelt sich hierbei offenbar um einen Ausläufer des Eta-Carinae Nebels. Man nimmt an, dass alle Sterne des Haufens zur gleichen Zeit vor weniger als etwa 10 Mio Jahren entstanden sind.

Mitternacht. Noch ca. 30 min und dann geht es ins Bett. Morgen ist um 08:30 Uhr Abfahrt zu den HESS-Teleskopen. Vorher aufstehen und frühstücken.

Rausschmeißer sind B142 & 143, M13 und M57.

[[<< Zurück zur vorangegangenen Nacht|05. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|07. Juni 2021 - Rundreise]]

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40607323563/" title="Night Sky over Roque de los Muchachos"><img src="https://live.staticflickr.com/7894/40607323563_82a0495053_h.jpg" alt="Night Sky over Roque de los Muchachos"></a>Himmel über dem Roque de los Muchachos gegen 23:30 UT. Belichtungszeit 277 sec auf Omegon Astrotracker und Meike 6.5mm f2 Fisheye @f5.6. Kamera Sony A6300. Kamerainterner JPEG Abzug. Links im Osten geht der Gegenschein auf.</div>

Letzte Nacht. Heute keine großen Sprünge mehr. Bisschen gucken. Fotografieren. Das war‘s. 

Ich bin wieder auf der „Halde“. Heute kaum Verkehr. Heute ist auch Sonntag. Die Franzosen sind vermutlich schon wieder zuhause. Flo bleibt noch eine Woche. Also: los geht es! Mond stört erstmal. Nur bis kurz nach der astronomischen Dämmerung. Dann nicht mehr. Flo ist heute - wie angekündigt - nicht da.  Das erste Objekt ist der Erdmond: Wunderbar. Schöne Sichel! Mare Crisium mit Rillen sichtbar. Viele Krater, die am Terminator liegen. Und das aschgraue Licht, dass je dunkler es wird, deutlicher hervortritt. Dann werden auch die großen Krater als weisse runde Ringe im unbeleuchteten Teil sichtbar. Faszinierend! 

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/9UW78A" title="Untitled"><img src="https://live.staticflickr.com/7910/47547199872_47f6b17ab6_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Aufnahme der untergehenden Wintermilchstraße mit der modifizierten A6000. Selektive Bearbeitung.  Belichtungszeit 62 Sekunden.</div>

Die Temperaturen fallen direkt Richtung Gefrierpunkt. Luftfeuchte ist Ok. 42%. Wind aus WNW, leicht aber kalt schneidend. Heute gibt es kaum Autos. Alles ruhig.

Das erste Objekt ist das [[ODM vom Januar 2019 im Astrotreff|http://www.astrotreff.de/topic.asp?TOPIC_ID=233776]]. Eigentlich sind es vier Objekte. 🤔

Die Gruppe liegt im reichen Milchstraßengebiet. Wunderbar anzuschauen. Ich starte bei der Übersichtsvergrößerung mit 65 fach. 

[[IC 447]]: Bei 65 fach sehr groß und im reichen Milchstraßenfeld recht leicht zu erkennen. Aber nur wenn man nicht vorbeischwenkt, sondern Geduld walten lässt. Erdbeerförmig der hellere innere Teil, wobei mit diffusem, auslaufendem Glow eher oval. Nahe des Kopfes der „Erbeere“ etwas unterhalb der hellen, eingebetteten Sternkette wird ein hellerer Balken sichtbar. 

[[NGC 2245]]: Heller, kometenartiger Nebel um einen Stern. Nachbarstern ist sogar noch heller. Zeigt nach Süden hin zwei abgehende Fahnen. Ausbuchtung nach Westen hin. Insgesamt hell. 

''NGC 2247'': Hier zeigt sich leider nach kurzer Beobachtung nur ein Glühen um einen Stern. Habe allerdings nicht viel Zeit investiert.

IC 446 aka IC 2167 habe ich leider nicht mehr geschafft. Das SQM-L markiert 21.76. Mittlerweile ist die Luftfeuchtigkeit auch auf 25% gefallen. Kein Wind. Gutes Seeing. Sehr gute Nacht.

Ich beschließe hier heute nichts mehr anzufangen. Das war es für dieses Jahr auf La Palma. Wieder mal durchwachsen. Bin mir nicht sicher, ob ich im März bzw. Anfang Aprill wieder hier her kommen soll. Vielleicht ist Ende April bzw. Anfang Mai einfach wettertechnisch besser.

[[<<Zurück zur vorangegangenen Nacht|06. April 2019 - La Palma]] | [[Zurück zum Artikel >>|Es muss nicht immer der Roque sein]] 

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/5G47o7" title="Untitled"><img src="https://live.staticflickr.com/65535/48042519793_5f63701d82_h.jpg"></a>Gemeinsames Grillen.</div>

Leichter Wind aus SO. Seeing wieder sehr gut. Gegen ein Uhr morgens steht ein Transit der Jupiter Jupitermond Europa an. Der Wind aus südlichen Richtungen lässt die Temperaturen rasch fallen.

!!Für Mathias die letzte Beobachtungnacht

Wir machen ein paar Messungen mit dem SQM-L. 21.6 gut eineinhalb Stunden vor Monduntergang in de Umgebung von Arktur, die dunkelste Stelle am Himmel, abseits der Milchstraße. Halbe Stunde später 21.70! Der Mond stand noch 10° über dem Horizont. 30 min nach Monduntergang 22.2 im gleichen Gebiet um Arktur.

[[Blaauw-Danziger 1]]: Runder, recht heller Nebel direkt an einem ca. 10 mag hellen Stern aufsitzend. Rand heller. Innen homogen gefüllt. Nördliches Randsegment ca. 90° etwas heller. Optimale Vergrößerung ist 454. Filter bringen keine Verbesserung, weder OIII noch UHC. Seeing 2-3.

!Himmel ist heute extrem klar

Wind aus SO. Es klart extrem auf. Das SQM-L zeigt praktisch immer Werte über 22.0 an. Das Airglowband ist nur noch sehr schwach über dem Horizont zu erkennen.

''//He 2-104//'': Wie beim letzten Mal auch ist trotz bestem Seeing nichts zu erkennen. Habe den PN diesmal herausgeblinkt. Daher auch kein Zweifel an der richtigen Position. Trotzdem nix zu erkennen.

!!Transit von Europa

Gegen 01:50 WAT schauen wir uns den Transit an. Bei 454 fach kann man den Schatten von Europa vor der Jupiterscheibe erkennen. Kleiner als Ganymed und Io die Tage zuvor.

Jetzt gibt es erstmal eine Kaffeepause.

!!NGC 6300

[[NGC 6300]]: Große Balkenspiralgalaxie. Liegt im auslaufenden Band der hellen südlichen Milchstraße. Verträgt hohe Vergrößerungen bis 670 fach. Optimal sind aber 454 fach. Es zeigt sich ein diffuses Zentrum mit sternartigem Kern. Ausgehend hiervon ist ein Balken zu sehen. Er trifft auf praktisch ovale und ringförmige, umlaufende Spiralarme. Unklar ist ob es sich um einen oder zwei handelt. Es tummeln sich vor der Galaxie einige Sterne, davon zwei recht helle. An verschieden Stellen hellere Segmente und Strukturen, insbesondere ein Dunkelband, welches vom Zentrum ausgeht. 

Jetzt wende ich mich noch mal Abell 4884 zu. Es gilt die gezeichneten Galaxien zu verifizieren und ggf. nach Strukturen Ausschau zu halten.

Letztes Objekt ist NGC 454: Im Gegensatz zu gestern schraube ich die Vergrößerung von 454 auf 670 fach hoch. Die beiden Galaxien sind erstaunlicherweise immer noch gut zu erkennen. Jetzt wird an beiden Komponenten neben deren Zentren jeweils kleine, runde, diffuse Knoten sichtbar, die sonst keine Strukturen aufweisen.

Wieder 06:00 Uhr. Ich habe die Nacht auch noch mal für die Fotografie genutzt. Standardobjekte wie NGC 7000. Kleine Magellansche Wolke ect. Jetzt ist aber Schluss. Für Mathias ist es heute die letzte Nacht. Ein würdiger Abschluss.

[[<<Zurück zur vorangegangenen Nacht|06. Juni 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|08. Juni 2019 - Tivoli Astrofarm]]

Heute gibt es keine Beobachtung. Ich stehe um 07:30 Uhr auf. Um acht Uhr gibt es Frühstück. Dann steigen wir zu sechst in einen Toyota Kleinbus. Und los geht’s! Ziel sind zunächst die HESS-Teleskope. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/r33ZZQ" title="Untitled"><img src="https://live.staticflickr.com/65535/51288592796_d285867ef4_k.jpg"></a>

Die Karte (Screenshot aus Google Earth) zeigt wo wir uns gerade befinden. Wir wollen zunächst in Richtung Gansberg, wo sich die Teleskope befinden und anschließend weiter zum Sousosvlei, welches links unten in der Wüste 🏜 zu erkennen ist.

![[HESS-Teleskope|https://de.m.wikipedia.org/wiki/High_Energy_Stereoscopic_System]]

Diese sind ca. 240 km entfernt und befinden sich in der Nähe zum Gamsberg. 

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Gegen 11 Uhr treffen wir planmäßig ein und Volker gibt uns eine Führung und erklärt dabei alles. Bei den HESS-Teleskopen handelt es sich um eine Cherenkov-Teleskopanlage. Und hier befindet sich das größte Einzelteleskop der Welt aktuell. Wir begutachten den Kontrollraum und anschließend die Teleskope selbst, sowie die Photomultiplier, die das Lichtsignal verstärken sowie die Kameras, in den die Multiplier wie Waben angeordnet sind. Ältere Kameras haben dann einen elektronischen Chip, aber mitunter nur eine Auflösung von 900 Pixeln.

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Links das „Kameragehäuse“ inmitten des „Stangensalats“. Rechts unten, daß Kameragehäuse geöffnet und oben mit Blick von der anderen Seite auf die Photomultiplier. Dahinter befindet sich schließlich die „Digitalkamera“.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/209pgR" title="Untitled"><img src="https://live.staticflickr.com/65535/51288928543_ef00cc24f0_k.jpg"></a>

Das Hauptinstrument mit einem segmentierten Spiegel und links dem Kameragehäuse. Das große Teleskop wird für uns auch kurz geschwenkt (s. Foto) und nebenbei erfahren wir allerlei Anekdoten aus dem Betrieb. Als wir uns verabschieden erfahren wir noch, dass die Telekope möglicherweise in drei Jahren stillgelegt werden sollen. Schade!

! Spreetshoogte Pass

Wir nehmen anschließend einen schönen Pass und picknicken dort. Die Aussicht ist spektakulär. Anschließend kommen wir im Flachland an und staunen über die gewaltigen Geröllberge, die wie Manfred unser Guide erwähnt, komplett aus tränenförmigen Steinen 🪨 bestehen.

Wir erfahren viel über die Farmen und das hier viele von Ihnen aufgegeben werden mussten, da die Niederschläge einfach zu gering sind. Heute gibt es statt Rinderfarmen halt eben „Touristenfarmen“.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/PiAN70" title="Spreetshoogte Pass"><img src="https://live.staticflickr.com/65535/51271616738_8a1605b267_k.jpg" alt="Spreetshoogte Pass"></a>

!Solitaire 

Hinter den Bergen wird das Land wieder flach. Auf dem Weg zur Lodge kommen wir auch an Solitaire vorbei. Einen Ort kann man das eigentlich nicht nennen. Wir treffen auf die berühmten schrottreifen Fahrzeuge, die neben einer Tankstelle stehen. Es gibt noch ein paar Häuser und zwei Läden. Natürlich auch eine Lodge, die aber offenbar geschlossen ist oder gar keine Gäste hat.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/PZo7Y6" title="Solitaire"><img src="https://live.staticflickr.com/65535/51261636628_775bed1878_k.jpg" alt="Solitaire"></a>

Solitaire ist ein echt verlorenes, aber charmantes Örtchen. Nach dem Tanken und dem Besuch des lokalen Shops, fahren wir schließlich weiter. 

Die Landschaft ist weiterhin durch ehemalige Farmen geprägt, wobei immer häufiger auch Lodges auftauchen. Manfred, unser Guide, erklärt uns, dass die Farmer ihr Land verkaufen mussten, da die Niederschläge über viele Jahre hinweg immer weiter zurück gingen. Die Farben wurden von wohl habenden Geschäftsleuten aufgekauft, die diese in luxuriöse Lodges umgewandelt haben. In diesem Zuge wurden auch die üblichen Zäune entfernt, so dass das Wild den Farmgrund verlassen und wieder zurückkommen konnte. So wurde die Grundlage für die Wildbeobachtung erst gelegt.

!Sossusvlei Lodge

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3o3ri6" title="Untitled"><img src="https://live.staticflickr.com/65535/51260238847_fc9d18cc20_k.jpg"></a>

Kurz vor Sonnenuntergang kommen wir an und können den Sonnenuntergang 🌅 noch richtig genießen. Bei Bier und anschließendem Abendessen lassen wir den Abend ausklingen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9yz197" title="Sonnenuntergang an der Sossusvlei Lodge"><img src="https://live.staticflickr.com/65535/51256840107_d080aa5644_k.jpg" alt="Sonnenuntergang an der Sossusvlei Lodge"></a>

Gegen 20:30 Uhr sind wir in unseren kleinen Unterkünften und ich wage einen Blick zum Sternenhimmel. Leider ist dieser nicht so spektakulär, denn Wolken sind wir vorhergesagt da und von der ausgedehnten Lodge gibt es einfach zu viel Licht. Morgen früh heist es früh aufstehen, denn dann fahren zur roten Düne!

!''8. Juni - Sousosvlei'' 

Aufstehen um 05:45 Uhr. Treffen um 06:30 Uhr zum Frühstück und Aufbruch. Heute Abend wieder beobachten. 

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Oben rechts der Sesriem Canyon. In der Nähe starten wir und folgen dem ausgetrockneten Flussbett bis zum Sousosvlei. Dort geht es dann zunächst mit dem Parkjeep weiter zum Deadvlei. So ist zumindest die Planung und so machen wir es auch.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/K52N7N" title="Namib-Naukluft-Nationalpark"><img src="https://live.staticflickr.com/65535/51259737371_42c6eec428_k.jpg" alt="Namib-Naukluft-Nationalpark"></a>

Es geht in den Nationalpark um 07:30 Uhr. Wir sind fast die einzigen Besucher. Der Park ist ungewöhnlich leer. Wir nähern uns der „Düne 45“ und genießen dabei das Farben- und Lichtspiel ringsherum. Wir sehen Springböcke und Oryxe vor den Sanddünen und abgestorbenen Bäumen, von denen nur wenige hundert Meter wieder grüne, gesunde stehen. Dies liegt an der Verlagerung des Flusslaufs, wie Manfred erklärt, denn anschließend haben einige Bäume kein Wasser mehr und sterben ab. An der neuen Stelle, wo dann Wasser verfügbar ist, beginnt sich das Leben von Neuem an sich anzusiedeln.

![[Deadvlei|https://de.wikipedia.org/wiki/Deadvlei]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Gb4bj2" title="Sossusvlei"><img src="https://live.staticflickr.com/65535/51259131778_48634c62ab_k.jpg" alt="Sossusvlei"></a>

Wir kommen bei magischem Licht dort an und werden die letzten Kilometer mit dem Parkjeep hin gefahren. Wir laufen über die vorgelagerte Düne und dann sehen wir eine ovale Lehmpfanne, die von hohen, orangefarbenen Dünen umgeben ist.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/u226jM" title="Sossusvlei"><img src="https://live.staticflickr.com/65535/51261433816_119579dbce_k.jpg" alt="Sossusvlei"></a>

In der Pfanne befinden sich einige mehre tausend Jahre alte, abgestorbene Akazien, der vorherrschenden Baumart in den Wüstenregionen von Namibia. Die Stimmung ist magisch und aufgrund der COVID-19 Pandemie sind wir fast alleine hier. Genial!

![[Sousosvlei|https://de.wikipedia.org/wiki/Sossusvlei]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Q2U07A" title="Untitled"><img src="https://live.staticflickr.com/65535/51262048245_3acc35600f_k.jpg"></a>

Auf dem Rückweg kommen wir am Sousosvlei vorbei, in dem noch Wasser steht. Es befindet sich nur wenige Kilometer vom Deadvlei entfernt. Das Wasser ist mehrere Meter tief. Krass! Wasser inmitten der Wüste. Als wir uns dem Wasser nähern laufen wir über aufgerissenen Boden. Dabei klingt dieser beim auftreten wie als würde man auf Glasscheiben treten, während diese gleichzeitig zerbrechen. Gespeist wird das Sousosvlei vom Fluss Tsauchab, der auch über Jahrtausende einen Canyon geformt hat, den wir anschließend  besuchen.

![[Sesriem Canyon|https://www.sossusvlei.org/attractions/sesriem-canyon/]]

Als wir den Park wieder verlassen schauen wir kurz am Sesriem Canyon vorbei, einer Schlucht, die sich vor wenigen Monaten komplett mit Wasser gefüllt hatte und dies bis zum Deadvlei in die Namib verteilt. Später wird Kirsten darüber berichten, dass im Frühjahr der komplette Canyon mit Wasser gefüllt war und die Leute mit Paddelbooten auf ihm fuhren. 

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Der Canyon ist praktisch in der Landschaft kaum auszumachen. Nur eine Spalte zeigt sich.

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Aktuell führt er kein Wasser mehr, sondern hat an seinem Grund nur noch wenige größere Pfützen.

!Zurück nach Tivoli und anschließende Beobachtungsnacht 

Schließlich treten wir die Rückreise nach Tivoli an und fahren über Kalkrand und Marienthal zurück. Wir erreichen Tivoli kurz vor Sonnenuntergang. Anschließend wird gegessen und dann geht es ans beobachten.

Hier geht es zur [[Flickr-Fotogalerie >> |https://www.flickr.com/gp/106029581@N02/7iZ80e]]

[[<< Zurück zur vorangegangenen Nacht|06. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur kommenden Nacht >>|08. Juni 2021 - Tivoli Astrofarm]]

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Vorletzte Nacht. Mathias hat sich heute nachmittag verabschiedet. Ist auf dem Weg in die Heimat. Leichter, kaum spürbarer Wind aus NO. +5° C nach Mitternacht. Die üblichen 35% Luftfeuchte. Mond stört heute fast bis Mitternacht. 

Erstes Objekt ist NGC 6572. Eine Nachschau aus letztem Jahr. 

[[NGC 6572]]. Schon bei 100 fach als blaugrüner Nebel sichtbar. Kann bis auf 670 fach vergrößert werden. 1200 fach aber nicht. Denn dann ist er nur noch matschig. Im Übrigen ist dann auch die grüne Farbe, die der Nebel bei 670 fach noch hat, auch weg. Es zeigt sich ein PN, der aussieht wie eine Galaxie mit zwei gegenüberliegenden Spiralarmen. Einer ist länger. Der andere hingegen kurz. Sie gehen von zwei hellen Schalen aus, die sich parallel gegenüberliegenden. Mittig mit hellem Nebel gefüllt und mit einem länglichen Knoten, der immer wieder fast stellar aufblitzt. Eine Schale deutlich heller als die andere. Diese ragt auch in den - mit Nebel gefüllten - Zentralbereich hinein. Die Arme sind auf der Innenseite ebenfalls mit Nebel gefüllt, der aber nicht so hell ist, wie der Zentralbereich. Seeing 1 bis 1+.

!!Wieder extrem klar

SQM-L 21.9. Transparenz sehr gut. Extrem klar. Es steht noch eine Nachschau an. NGC 3918. Er zeigt sich hell und grünblau bei 100 fach. Bei 670 fach allerdings ist keine Farbe mehr erkennbar. Antenne ist zu erkennen. Gegenüber ein diffuser Auswurf. Inneres mit diffusem Nebel gefüllt. Kanten heller. Nur kurzen Bick drauf geworfen. Eine genauere Beschreibung mit weiteres Details gibt es [[hier|10. August 2018 - Tivoli Astrofarm]].

[[Terzan 8]]: Kugelsternhaufen. Bei 100 fach bereits gut erkennbar. Runder Glow zwischen zwei recht hellen Sternenketten. Auf den ersten Blick ein halbes Dutzend Einzelsterne wahrnehmbar, die in Zentrumsnähe stehen. Im Zentrum stehen die hellsten Sterne, genauer drei, die ein gleichseitigen Dreieck bilden. Auch die typische Helligkeitszunahme bei KS zum Zentrum hin ist gut erkennbar, wenn dies sich auch nicht in Einzelsternen zeigt, sondern am diffusen Glow. Bei geduldiger Beobachtung und höherer Vergrößerung von 278 fach blitzen immer wieder Einzelsterne auf. Manche lassen sich indirekt halten. Schöner Anblick.

Nach einer kurzen Kaffeepause geht es wieder weiter. Nochmal Abell 4884. Finale QS der Skizze/Zeichnung. Dabei mache ich auch eine Detailbeobachtung von IC 4769. Bei 178 und deutlicher bei 278 und 454 werden zwei entgegengesetzte Spiralarme sichtbar, die sich an den hellen Balken und dem sternartigem Zentrum der Galaxie anschließen.  Das nächste Objekt ist eine ringförmige Balkenspiralgalaxie. Entdeckt 1835 von John Herschel.

[[NGC 7098]]: Schöne Balkenspirale. Helles, diffuses Zentrum. Elliptischer Galaxienkörper mit helleren, diffusen Enden in den Apsiden. Schwer sind die Spiralarme zu erkennen. Sie winden sich ringförmig um den Galaxienkörper. Etwas abseits ist noch die kleine Galaxie PGC 246235 (17.39 mag) zu erkennen.

Das SQM-L robbt sich an die 22.0 ran. 21.95 um 04:22 WAT. Jetzt kommt ein Klassiker.

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Das Morgenzodiakallicht und links unten ist sogar M31 zu erkennen.

[[NGC 7293 - Helixnebel]]: Riesig und sehr hell bei 100 fach im 25 Zöller. Im 24 Zoll Bino - vor einer Woche - noch heller. Mit OIII gewinnt der Nebel nochmal an Kontrast. Die Helixstruktur zeigt sich bei 100 fach nicht. Dazu muss man höher vergrößern. 178 fach oder 278 fach. Dann zeigt sie sich bei geduldiger Beobachtung. Der Zentralsstern ist recht hell und mit OIII einfach zu sehen, wie weitere Sterne innerhalb des Nebels, etwa ein halbes Dutzend an der Zahl. Nordöstlich zeigt sich im einem Bogenteil eine hellere Kante bzw. Abschnitt. Südwestlich ebenfalls. Das Innere ist mit Nebel gefüllt und ebenfalls recht hell. Der Nebel zeigt zudem schwache Ohren.

Halb sechs. Nix mehr anfangen. Nur noch ein paar Schnappschüsse mit der Kamera. Heute noch eine beschnittene Nacht, denn der Mond geht erst gegen 0:30 Uhr morgen unter.

[[<<Zurück zur vorangegangenen Nacht|07. Juni 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|09. Juni 2019 - Tivoli Astrofarm]]

Wir sind kurz nach Sonnenuntergang 🌅 zurück auf der Farm. Der Ausflug ist rum. Die Nacht startet.

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Erstes Objekt ist N136 in der LMC. Leider bin ich unsicher wo das Objekt genau steht. Am Ende gibt es einen Kandidaten, aber es ist unsicher ob es tatsächlich der Supernova-Überrest ist. Das muss ich morgen noch mal „nachbeobachten“.

Nächstes Objekt ist Puppis A. Nach einigem hin und her ist das Sternfeld schließlich gefunden und mittels funktionierendem Internet die Sternkarte aus ~AladinLite geladen. Leider zeigt sich an der richtigen Stelle aber nichts. Das Objekt steht mittlerweile auch sehr tief, so dass ich hier am Ende abbreche.

Es geht weiter zu einem alten Bekannten.

[[NGC 3247|NGC 3247 & Westerlund 2]]: schon bei 100x auffällig im dichten Sternenfeld. Kann bis auf 280x vergrößert werden. Reagiert auf Filter. OIII wirkt gegenüber UHC etwas besser. Zusammen mit dem OIII wird bei 280x schließlich ein dreieckiger Nebel um einen Stern sichtbar. Inneres ist deutlich dunkler. Nach Norden abgehende, diffuse Fahne, die wiederum drei hellere, diffuse Knoten zeigt.

+4.5 °C bei 56 % relative Luftfeuchtigkeit. SQM-L 21.84.

Das nächste Objekt ist ebenfalls ein alter Bekannter: es handelt sich um den „Blue Planetary Nebula“ oder [[NGC 3918]]. Es zeigt sich bei 100x schon ein heller türkisblauer Nebel. Kann bis auf 670x vergrößert werden, allerdings verschwindet dann seine Farbe. Immer noch sehr hell und insgesamt oval. An den ovalen Enden zeigen sich kurze Ansen. Im Nebelkörper selbst sind blickweise immer wieder hellere Knoten, insbesondere in den Außenbereichen, erkennbar. Kein Zentralstern sichtbar.

<<<.tc-big-quote

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Der „Pfeifennebel“ und seine Umgebung. In der Mitte ist der „Schlangennebel“, links oben ist der Offene Sternhaufen M23 zu erkennen.

<<<

Den folgenden Planetarischen Nebel muss man sehr stark vergrößern.

[[He 2-86]]: Selbst bei hoher Vergrößerung absolut sternförmig. Zumindest scheint es zunächst so. Kann aus dem Sternfeld eindeutig mit OIII-Filter „herausgeblinkt“ werden. Bei 670x zeigt sich bei geduldiger Beobachtung schließlich blickweise immer wieder, dass dieser PN offensichtlich bipolar ist und wie zwei enge „Doppelsterne“ ausschaut. Diese zeigen sich immer wieder und ich habe den Eindruck, dass einer davon etwas heller zu sein scheint. Leider kann ich nicht weiter vergrößern, obwohl das Seeing dies immer wieder mal zulässt, denn ich habe zwar eine Barlow dabei aber einen wichtigen Adapter zu Hause vergessen. Um den bipolaren, doppelsternartigen Kern zeigt sich ein feiner Halo, der bei anderen Sternen mit ähnlicher Helligkeit nicht vorhanden ist.

Jetzt nur noch +2 °C und 64 % relative Luftfeuchtigkeit.

![[Pavo Galaxie|NGC 6744 - Pavo Galaxie]] & [[Pavo Galaxienhaufen|Abell 4881 - Pavo Galaxienhaufen]]

Nach einer kurzen Kaffeepause bin ich schließlich beim nächsten Objekt. Es handelt sich dabei um eine Nachschau. Die Zeichnung ist bereits erstellt, benötigt aber noch mal eine Verifikation bezüglich der tatsächlichen Helligkeiten und der Details. Es geht um den [[Pavo Galaxienhaufen|Abell 4881 - Pavo Galaxienhaufen]]. Einige der gezeichneten und 2019 beobachteten Galaxien sind einen Ticken zu hell und müssen daher etwas abgedunkelt werden. Bei anderen muss das Zentrum stärker betont werden, denn dieses ist tatsächlich deutlich sternartig. Aber viele der Details sind tatsächlich so korrekt, so wie ich es vor zwei Jahren auch notiert & skizziert hatte.

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Als Nächstes geht es zu einer Galaxie, die ganz in der Nähe steht. Die Pavo Galaxie oder [[NGC 6744|NGC 6744 - Pavo Galaxie]]: Balkenspiralgalaxie mit hellem und diffusem Zentrum. Um den Balken windet sich ein kompletter, geschlossener und ovaler Spiralarm. Fantastisches Objekt!

Es ist mittlerweile 4:00 Uhr durch. Die Galaxien des Südhimmels gehen langsam auf bzw. stehen ausreichend hoch genug über dem Horizont. Erstes Objekt ist NGC 300. Beim Anblick bin ich leider etwas enttäuscht, denn ich habe noch das Bild von vor zwei Jahren im Bino-Dobson im Kopf. Ich ziehe direkt weiter zu NGC 55. Das ist allerdings schon mehr nach meinem Geschmack: helle langgezogene Galaxie mit Sternen im Galaxienkörper. Der Galaxienkörper wirkt zudem strukturiert und zeigt hellere Abschnitte. Mir scheint auch das helle, knotenartige Strukturen erkennbar sind.

Ich ziehe heute voll durch. Um 5:30 Uhr baue ich langsam ab. Um 6:00 Uhr bin ich auf dem Weg in meine Hütte. Die Dämmerung hat gerade eingesetzt.

[[<<Zurück zur vorangegangenen Nacht|07. Juni 2021 - Rundreise]] | [[Weiter zur nächsten Nacht >>|09. Juni 2021 - Tivoli Astrofarm]]

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![[All Sky Panorama - Bonilla]]

{{All Sky Panorama - Bonilla}}
</div>

Auf dem Weg traf ich Manuel, der aber schon auf der Rückreise nach Madrid war. Kurzes Gebabbel und dann weiter. Am Beobachtungsplatz angekommen, hielt ich gleich nach einem Tisch Ausschau, den man als Sitz verwenden könnte. Dafür muss ich einen aus den Schutzbauten holen, und als ich eine davon betrat, war ich offensichtlich in einer Wespenhochburg unterwegs. Schon schmerzt es am Ohr und tatsächlich hat mich dort eine gestochen. Erst später sehe ich, dass der Eingang "bewacht" wurde. Ich lasse mich davon aber nicht beirren und baue auf. Dann trifft ein weiterer Beobachter ein, den ich von mehreren Nächten schon kannte und vor zwei Jahren das letzte Mal gesehen hatte. Er heisst Alberto. Er bietet gleich eine Dose kaltes Bier an, was sich leider fatal auswirkt. Der stramme Plan ist dahin. Müßiggang macht sich breit. Beim Aufbau habe ich dann zusehends weitere Probleme. Der Hut  muss insgesamt dreimal umgebaut werden, bis er passt.
Währenddessen zieht ein kompaktes Wolkenband von Süden her durch. War natürlich auch nicht vorhergesagt worden. Schöne Dämmerungsfarben und rosarote Wolken versüßen uns die Zeit bis zur Nacht.
Die astronomische Dämmerung setzt um 23:00 Uhr ein. Das Seeing ist sehr gut. Ein Kollilaser wird ausprobiert. Leider nicht meiner. Die Kolli ist perfekt. Saturn lässt grüßen. 
Dann mache ich ein Panno. Dauert fast eine Stunde. Am Ende ist es ein Uhr. Immer noch nichts beobachtet. Dann geht es aber mit NGC 6781 los:

''NGC 6781, 01:30 Uhr:'' Schon bei 56 facher Übersichtsvergrösserung gut erkennbar. Schön groß. Bei 430 fach und OIII zeigt sich ein ovaler Nebel, der asymmetrisch ab der Mitte deutlich dunkler ist und weiter nach Norden diffus ausläuft. Trotzdem bleibt der Ringcharakter erhalten. Mit OIII-Filter gewinnt der Nebel etwas an Struktur und vor allem an Kontrast. UHC geht auch gut. Östlich und westlich werden hellere Kanten sichtbar.

Ich komme nochmal mit Roberto ins Gespräch. Er ist ein exzellenter Zeichner. Er erklärt mir seine Zeichentechnik. Ich bin beeindruckt. Bekomme noch eine Art Radiergummi geschenkt. Komme mir wie ein Anfänger vor :)
Die Zeit schreitet weiter voran. Wir vergleichen SQM und SQM-L Werte. Beide messen wir Werte um 21.4. Mal höhere und mal niedrigere. Insgesamt eine gute Nacht. Wir schauen uns noch IC 59 & 60 an. Und den Gegenschein, der recht einfach zu sehen ist. Steht über dem Sternbild Capricornus im Wassermann.
Dann ist der Nordosthorizont deutlich aufgehellt. Der abnehmende Mond ist bereits aufgegangen. Wir sprechen noch fast eine Stunde und brechen gegen 04:30 Uhr auf. 

 [[Weiter zur nächsten Nacht >>|11. August 2015 - Bonilla]]

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/U407WS"><img src="https://live.staticflickr.com/65535/48014277097_5b2c7d63ab_k.jpg"></a>Da drin habe ich gewohnt. Nicht im Baum. Da wohnen andere 😊</div>

Klar. Aber nicht mehr mit Top Transparenz. Der Wind aus Nord bis Nordost ist zurück. Letzte Nacht. Dann wieder heim. Schöne Zeit war es hier und sehr gute Beobachtungen. Seeing war meist sehr gut. Wetter auch. Nur eine Nacht praktisch komplett bewölkt. Drei davon teilweise bewölkt. 12 Nächte klar. Zwei davon extrem klar.

Als erstes beobachte ich den Mond und die Planeten. Gegen Mitternacht habe ich versprochen Pluto einzustellen. Zwei Italiener möchten den Asteroiden unbedingt mal sehen. Nun gut. Habe mir vorgenommen hier jetzt nix mehr groß zu machen. Ja, ja. Am Ende habe ich doch wieder eine Liste erstellt.

!!Pluto

Kurz vor Mitternacht stelle ich ''Pluto'' ein. Die Italiener drängen darauf nach Moduntergang zu beobachten. Ich lehne ab, denn ich möchte beobachten. Und nicht Pluto. Außerdem ist er trotz Mond gut zu sehen. Er hat ein Helligkeit um die 14 mag und bildet mit einem gleich hellen Stern einen optischen Doppelstern und ist daher gut auszumachen. Einer der Italiener hat ihn gesehen. Der andere hat Mühe mit dem Sternenmuster. Unklar bleibt, ob er es erkannt hat oder nicht. Wie auch immer. Ich muss loslegen. 

!!Ein Quasar

''IRAS 17490+2659 (LEDA 97547) - Quasar'': Im Herkules gelegen und leicht aufzufinden. Es zeigt sich in einem Sternendreieck ein etwa 15mag heller Stern. Das ist der Quasar in 1.7 Milliarden Lj Entfernung. Beeindruckend.

Kaum ist der Mond weg, schnellt das SQM-L auf 21.9.

!!Minkowski Night

[[Minkowski 3-30]]: Runder bis leicht ovaler Nebel. Zunächst einfach als Scheibchen zu sehen, dass direkt knapp auf einem Stern aufsitzt. Nach dem Einsehen und unter Einsatz von 670 facher Vergrößerung zeigt sich ein Rauchring, wobei der Ring wenig definiert ist. Inneres mit Nebel gefüllt und kaum schwächer. Trotz intensiver Beobachtung zeigen sich keine weiteren Strukturen.

Der Italiener auf der Nachbarplattform stößt Freudenschreie aus. Er habe Pluto jetzt endlich gefunden. Ich frage ihn was zum Durchbruch verhalf. Die Antwort ist, dass es jetzt dunkel sei, da ja der Mond untergegangen ist. Ich solle auch mal schauen. Geht nicht, denn ich bin selbst gerade am beobachten und zwar das hier:

[[Minkowski 1-57]]: Unscheinbarer Nebel um einen nebligen Stern. Reagiert gut auf OIII. Bei 670 fach wird ein bipolarer Nebel sichtbar in dessen Zentrum ein recht heller Stern steht, der von einem hellen Halo umgeben ist. Insgesamt sieht der Nebel wie eine „Krawattenfliege“ oder leicht verdrehtes „X“ aus, wobei die äußeren Kanten etwas heller sind. Um ihn zu sehen, braucht es etwas Geduld. Dabei zeigt sich eine diagonal verlaufende Kante als etwas helleres Detail. Schön! Seeing 3.

Die Temperaturen steigen auf sensationelle +10° C an um wenig später wieder um 2° C zu fallen. 21.96 misst das SQM-L im Grus. Da die nächsten Minkowski Kandidaten im Zenit stehen, wird ein anderes Objekt vorgezogen.

[[Abell 42]]: Zunächst an der falschen Position geschaut und auch nichts gesehen. An der richtigen Position stören keine Sterne. Bei 114 fach und OIII wird an der korrekten Position ein runder, sehr schwacher Nebel sichtbar. Indirekt nicht zu halten. Blitzt aber immer wieder - auch für längere Phasen - sicher auf. Kontrolle im Sternfeld zeigt an der Position keinen Stern der fälschlicherweise das Glimmen nur vortäuschen könnte. Größe geschätzt etwa eine Bogenminute, was sich im Nachhinein neben der korrekten Position als richtig herausgestellt hat. Das Glimmen scheint am nördlichen Rand etwas heller zu sein. Bleibt aber Spekulation. Schwer!

[[Minkowski 1-47]]: Kleiner, runder, recht heller Nebelring um einen Stern. Reagiert gut auf OIII. Optimale Vergrößerung 670 fach. Kann auch noch auf 1200 fach vergrößert werden, zeigt aber keine weiteren Details. Zwischen dem Stern und dem hellen Nebelring ist das Innere des Nebels deutlich dunkler. Sehr schönes Objekt.

[[Minkowski 1-33]]: Ganz ähnlich zu M 1-47 zuvor. Winziger Nebelring um einen schwachen Stern. Ringform oval. Ring ist auch deutlich dunkler als der von M1-47. Nebel wirkt sehr unruhig. Trotzdem keine expliziten Strukturen erkannt. Seeing 2-3.

So das war‘s. Leider. Am Nachmittag geht es dann mit dem Nachtflug zurück. Um vier Uhr nachmittags brechen wir auf. Das waren 16 Nächte. 16!

[[<< Zurück zur vorangegangenen Nacht|08. Juni 2019 - Tivoli Astrofarm]] | [[Zurück zum Artikel >>|Namibia auf Tivoli 2019]]

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/mv97GQ" title="Untitled"><img src="https://live.staticflickr.com/65535/51303176149_a3fb90d86a_h.jpg"></a>Die Sternwarte ist ein guter Ausguck. Von da oben aus kann man sehr gut den Osthorizont sehen, z.b. für Sonnenaufgänge.</div>

Heute war es tagsüber fast absolut windstill bei sommerlichen Temperaturen. Jetzt ist es bei Sonnenuntergang knapp +15° C warm. Leider musste ich gestern feststellen, dass ich einen Adapter für die Aufnahme der Okulare im Zusammenhang mit meiner Barlowinse vergessen hatte. Vergessen ist nicht ganz der richtige Ausdruck, denn ich habe sie bewusst zu Hause gelassen, um Gewicht zu sparen. Ich habe natürlich einen ähnlichen Adapter dabei, der aber leider ein anderes Schraubgewinde hat und daher nicht passt.

Nun sind extrem hohe Vergrößerungen eben nicht möglich. Es sei denn ich habe noch eine Idee, wie ich das Okular hinter der Barlow befestigen könnte. In diesem Zusammenhang fällt mir gerade ein, dass ich noch sehr kleine und leichte Pentax Okulare habe, die man möglicherweise einfach mit Tape befestigen könnte. Das Gesichtsfeld wäre dann vermutlich auf etwa 40° begrenzt, aber was soll’s.

Später dann finde ich allerdings eine andere Lösung: zum Teleskop gehört auch ein Okularkoffer. Den nutze eigentlich nie, da ich meine eigene Okulare mitbringe. Ich lasse mir aus dem Zubehörkoffer von Reinhold den Komakorrektor geben. Dieser verlängert die Brennweite um den Faktor 1.15. Immerhin werden aus 670x dann 770x, also eine Maximalvergrößerung von fast 800x. Der Unterschied ist im Teleskop beim beobachten tatsächlich deutlich zu erkennen.

Heute bin ich total übermüdet, habe nämlich nur fünfeinhalb Stunden geschlafen. Das ist nicht besonders gut, denn dann passieren Fehler, wie eben bei der Einstellung des Timelapse. Kurz die Brille auf dem Boden gelegt und an der Kamera rumgefummelt und schon bin ich auf der Brille gestanden. Brillengras ist raus und Gestell verbogen. Nun kann man meinen, das wäre eine Katastrophe. Ist es auch aber zum Glück ist es nur die Astrobrille. Zum Glück kann ich das ganze wieder hin biegen, wie es sein soll und einer der Gäste hat auch einen entsprechenden Uhrmacherschraubenzieher dabei um die Fassung zu lösen und das Brillenglas wieder einzusetzen. Puh, ganz schön viel Stress!

Auf dem Weg zu Puppis A huschen lange und helle Filamente durch das Gesichtsfeld. Offenbar bin ich im Vela-Gebiet gelandet mit sehr vielen Nebeln. Faszinierend 🤨  dieses Gebiet zu durchstreifen.

!Puppis A

Erstes Objekt ist wieder [[Puppis A]]: diesmal kann das Sternfeld eindeutig und ohne Stress zugeordnet werden. An der richtigen Stelle zeigen sich bei 125x und OIII-Filter tatsächlich zwei kleine, indirekt schwer zu haltende, runde Nebel. Bei stärkerer Vergrößerung auf 178x bzw 278x zeigt sich der Nebel leider nicht. Finde tatsächlich das Objekt sehr schwer!

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/uF78tw" title="Untitled"><img src="https://live.staticflickr.com/65535/51301032556_5844a7f75b_k.jpg"></a>Immer wieder Airglow! Im Süden immer braun. Im Norden oft grün, aber dort erst in der zweiten Nachthälfte.</div>

!Ein Bleistift am Himmel 

Das nächste Objekt ist „Herschels Bleistift“: Es zeigt sich ein sehr großer und sehr langer Nebel. Praktisch ein Strich. Nördliches Ende deutlich heller und leicht gebogen. Nach Süden leicht schwächer werdend und abgehendes „Segel“ nach Westen. Bei etwa gleichbleibender Helligkeit schließlich am Ende diffus nach Süden auslaufend. Wenn man von dem abgehenden „Segel“ mal absieht, könnte es sich tatsächlich um einen „Bleistift“ handeln. Sehr schönes Objekt!

![[M83]]

Jetzt geht es weiter mit einer vor einigen Nächten begonnenen Zeichnung von M83. Das Ganze gestaltet sich leider sehr komplex. Immer wieder tauchen neue Details auf, allerdings hilft das gute Seeing.

[[Henize 2-111]]: winziger Nebel direkt neben Alpha Centauri. Letzterer ist ein Doppelstern und schon bei 100x getrennt. Es zeigen sich zwei weiße, sehr helle Sterne. He 2-111 zeigt sich in der Nähe als länglicher, kleiner Nebel schon bei 100x. Relativ hell. Kann ohne Probleme bis auf 670x vergrößert werden. Dann sieht man einen ovalen, lang gestreckten Nebelring, dessen Inneres etwas dunkler erscheint. Es zeigen sich zudem in den Apsiden, etwas versetzt, jeweils gegenüberliegende helle Knoten. Nördlicher Teil prominenter, nach Südwesten abgehende Fahne.

[[Henize 2-104 - Southern Crab]]: an der richtigen Stelle scheint ein Stern mit einer zarten Nebelhülle. Reagiert sehr gut auf OIII. Ohne Filter wird bei 670x neben der haloartigen Nebelhülle blickweise immer wieder eine Antenne sichtbar. Dabei handelt es sich um die hellere. Von der dunkleren keine Spur.

Das Seeing ist praktisch die ganze Nacht sehr gut. Beste Nacht bisher.

Vor der Kaffeepause stelle ich Saturn und Jupiter ein. Insbesondere Saturn haut einen von den Socken. Da Seeing ist zum Teil hervorragend, insbesondere wenn für kurze Momente alles still steht. Auf Saturn zeigt sich die „Bauchbinde“ leicht strukturiert, mit kräftigen Farbsaum an seiner südlichen Grenze. Dann folgt ein Teil der leicht grau ist, aber mit haarfeinen Linien strukturiert ist. Die sind feiner als jene, die üblicherweise auf Jupiter zu sehen sind. Anschließend zeigt sich eine grau gefärbte Polhaube. Dabei ist der Rand etwas dunkler. Blickweise lässt sich auch immer wieder die Encke Teilung erkennen. Weiter geht’s zum Jupiter: auch hier findet gerade spektakuläres statt. Wir sehen einen Schattendurchgang von Callisto. So jedenfalls meint ~SkySafari.

Ich fange heute nichts mehr Neues an. Ich mache noch ein paar Aufnahmen der Planeten Saturn und Jupiter, sowie einige kurze Videos.

Es ist mittlerweile auch schon 5:00 Uhr durch und ich bin es auch. Ich schaue jetzt noch ein bisschen die Planeten visuell an und dann gehe ich ins Bett.

[[<<Zurück zur vorangegangenen Nacht|08. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|10. Juni 2021 - Tivoli Astrofarm]]

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Nicht schon wieder oder doch? Ostern liegt gerade hinter uns. Und der Neumond vor uns. Er fällt dieses Jahr auf Anfang April. Und deshalb sitze ich auch schon wieder im Flugzeug. Mein Ziel wieder La Palma. Routine würde ich schon fast sagen. Diesmal soll der Aufenthalt nicht so lang dauern, sondern nur etwas mehr als eine Woche. Nach den Winterobjekten der Milchstraße im Januar stehen jetzt hauptsächlich Galaxien im Fokus. Aber zwei Stunden sind die Wintersternbilder noch gut beobachtbar. Achteinhalb Stunden astronomische Nacht. Im Januar waren es noch drei Stunden mehr.

Die Wettervorhersage ist unklar. Die Nacht vor meiner Ankunft ist es sehr windig. Was danach kommt ist ungewiss. Zunächst ist unbeständiges Wetter angesagt worden, dann aber wiederum nicht. Es steht also in den Sternen :)

Für heute Nacht wird für den Roque wenig Wind vorhergesagt. Deshalb fahre ich hoch. Morgen Früh geht der Mond gegen 4:00 Uhr auf. Das verspricht über 6 Stunden astronomische Nacht. 7timer hat allerdings ab 2:00 Uhr Wolken vorhergesagt, was sich mit dem spanischen Wetterdienst AEMET deckt.

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Unten an der Auffahrt regnet es. Und nicht zu knapp. Erst kurz vor der Baumgrenze beginnt sich das Bild zu wandeln und ich erhasche sogar kurze Momente mit Ausblick auf den blauen Himmel. Dann schließlich ist die Wolkendecke durchbrochen.

Komme an einem guten Beobachtungsplatz an der Residencia vorbei. Hier habe ich am [[9. Januar 2016|9. Januar 2016 - Roque de los Muchachos]] eine wunderbare Nacht beobachtet. Jetzt sind dort Bauaktivitäten zu sehen. Kein Mensch da, aber die Szenerie lässt keine Zweifel zu. Aha, hier soll wohl das Café mit dem Besucherzentrum entstehen. Dann kann man die Plätze unterhalb der Residencia hier zukünftig vergessen. 

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Ich fahre weiter zur Halde und baue auf. Praktisch kein Wind. Nur hin und wieder ein laues Lüftchen aus Südwest. Das ist eine gute Gelegenheit um mit der neuen Gardine zu beobachten. 

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{{Leo Triplet}}

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So wird schließlich alles aufgebaut und rechtzeitig zur astronomischen Dämmerung bin ich bereit. 
Will es heute erst mal ruhig angehen lassen, da ich nach dem Flug ziemlich fertig bin. Die Insel liegt komplett unter Wolken. Leider ist die Himmelsqualität nicht so gut. Es ziehen nämlich von Nordwesten dünne Wolken durch.

Erstes Objekt ist Jupiter. Und ich werde mit einem doppelten Schattendurchgang belohnt. 

''Jupiter:'' Doppelter Schattendurchgang. Leider ist das Seeing nicht so besonders gut, so dass Europa nicht erkannt werden kann, sondern nur sein Schatten. Zweiter Schatten kommt von Io, der aber nicht vor der Jupiterscheibe steht, sondern knapp abseits.

Dann der mittlerweile tief stehende ''Sh2-308:'' Bei 65 Fach und OIII Filter wird zunächst lediglich ein länglicher, recht gut erkennbarer Nebel sichtbar. Bei geduldiger Beobachtung wird nahe eines hellen Sterns sogar ein recht einfach sichtbarer Knoten erkennbar. Schließlich zeigt sich nach etwa anderthalb Stunden Beobachtung eine fast um umlaufende runde Nebelschale.

Ich erinnere mich gut an die erste Beobachtung vor ein paar Jahren. Dieser hatte mit diesem komplexen Objekt nichts zu tun. Da sieht man mal wieder, was intensive Beobachtung an einem Objekt alles zu Tage fördert. Damals habe ich nur einen flüchtigen Blick auf das Objekt geworfen und schätzungsweise 10 Minuten beobachtet.

Im Norden ziehen immer mal wieder Wolkenbänke vorbei. So denke ich zunächst, dass mich nicht erwischen werden. Vorsorglich mache ich auf der gegenüberliegenden Himmelsseite weiter. 

''NGC 4565:'' Sehr dünne Spindel. Hat etwas abseits der Mitte ein dunkles Staubband. Am deutlichsten in Zentrumsnähe zu sehen, wo das Band den Bulge eindrucksvoll teilt. Am südlichen Ende etwas hellerer Knoten.

Das SQM-L zeigt jetzt die Maximalwerte diese Nacht, nämlich 21.72. 

Als letztes Objekt stelle ich das "Leo Triplet" ein. Die Wolken aus Nordwesten kommen jetzt immer näher und gegen 2:00 Uhr ist dann schließlich der Himmel zu. Ich bin darüber nicht sehr unglücklich, da mittlerweile sehr müde. Ich packe alles zusammen und fahre wieder runter.

Hier noch ein Pano vom Beginn der Nacht kurz vor der astronomischen Dämmerung. Im linken Bereich die Wintermilchstraße. Nahe der Mitte das Zodiakallicht in dessen Kegel die Plejaden zu sehen sind.

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/26098108862/in/datetaken/" title="Pano"><img src="https://farm2.staticflickr.com/1699/26098108862_7625c26d2c_b.jpg" alt="Pano"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>


[[Weiter zur nächsten Nacht >>|2. April 2016 - Roque de los Muchachos]]

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{{NGC 6140}}

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![[Arp 261]]

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{{Arp 261}}

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Absolut windstill. Die Ganze Nacht. Gute Transparenz. Heute bin ich an der Viehtränke geblieben. Hat den Vorteil, dass man Getränke kühlen kann.

''Arp 261:'' PGC 52940 zeigt sich bei 114 fach Blickweise immer wieder unruhig. Meine Knoten auszumachen. Lassen sich nicht halten. Am nördlichen Ende scheint die Galaxie einen Knick zu machen. Begleiter ist deutlich schwächer und kann als eigenständiges Objekt kaum ausgemacht werden. Weitere Galaxie PGC 52943 abseits recht einfach zu sehen. Kann indirekt knapp gehalten werden. Süd- bzw. westlich wird neben PGC 52940 bei gutem Seeing blickweise ein schwacher Stern sichtbar.

SQM-L 21.78 im Zenit. Zeitpunkt 23:46 Uhr.

''NGC 6140:'' Schöne Spiralgalaxie, bestehend aus einem zentralen Balken, von dem zwei Arme abgehen. Kleinerer Spiralarm deutlich einfacher zu sehen. Großer lässt sich nicht über die ganze Länge eindeutig verfolgen. Aber am Ende zeigt er einen recht gut sichtbaren Knoten. Beste Vergrößerung ist 114 fach.168 geht aber auch gut, aber dann saufen die schwachen Teile der Galaxie ab.

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{{NGC 6822 - Barnards Galaxie}}

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{{Abell 6}}

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Jetzt kommt das Highlight des Abends.

''NGC 6822 - Barnard's Galaxie:'' Wie gestern auch hervorragend zu sehen. Die Galaxie scheint blickweise immer wieder Struktur zu zeigen. Sieht irgendwie marmoriert aus. Am südlichen Ende nach Nordwesten bzw. östlich abgehende diffusen Fahnen. Östliche Fahne auch am nördlichen Ende. Die Hubble Gebiete 1/3 sind alle gut und ohne Filter erkennbar. Die kleine Hintergrundgalaxie auch. Oder ist es ein Ausläufer von H I? Jetzt zu den Kugelsternhaufen: H VII in der Nähe des Zentrum recht gut erkennbar. Fast sternartig. Zeigt sich aber im Vergleich zum fast gleich hellen Stern südöstlich unschärfer. SC 7 recht einfach indirekt zu sehen und kann gerade so gehalten werden. Kleiner unscharfer Nebelball. Eindeutig flächig bei 114 fach. SC 6 ist deulich schwieriger. Bei 114 fach nichts zu erkennen. Bei 168 fach und über einer halben Stunde intensiver Beobachtung taucht Blickweise ein kleiner runder Nebelball zwischen der Verbindungslinie eines Sternendreiecks in Richtung des schwächsten Sterns auf. Etwas abseits dieser Verbindungslinie gelegen. Das Sternendreieck stört die Beobachtung sehr. SC 1 nicht versucht. Einen schönen Überblick liefert auch ein [[Artikel von Wolfgang Steinicke|http://www.klima-luft.de/steinicke/Artikel/NGC6822.pdf]].

Plötzlich höre ich Tierlaute aus dem Unterholz in Richtung der Viehtränke. Vielleicht doch nicht so gute Idee hier aufzubauen.

SQM-L 21.76 im Pegasus Viereck bzw. Zenit.

''Abell 6:'' Bei 114 fach und OIII Filter zunächst nichts erkennbar. Erst nach langer geduldiger Beobachtung wird bei 114 fach ein diffuser Bogen an der richtigen Stelle sichtbar. Dann auch 90° versetzt. Bei 56 fach und OIII-Filter und maximaler AP ist schließlich ein kreisrunder sehr diffuser Nebel sichtbar. Manchmal habe ich den Eindruck, dass er zur Mitte hin dunkler wird. Ist aber unsicher.

Die Sommermilchstraße ist unglaublich strukturiert. Hier ist wirklich das "Beobachternirvana". Als die Dämmerung bereits eingesetzt hat, bin ich immer noch mit dem Abbau beschäftigt.

[[weiter >>|2. August 2016 - Pinar de Araceli]]

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Wieder auf dem Roque. Leichter Wind aus Ost. Später etwas auflebend. Aber nie richtig störend. Diesmal wie vorhergesagt. Viele Autos sind auf der Passstraße unterwegs. Seeing heute deutlich besser. Transparenz wieder hervorragend trotz tagsüber durchziehender Zirren. Sehr trocken. Nachts um 6° Celsius.

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Bin wieder auf der planierten "Schutthalde". Bei Einbruch der Dämmerung hält und parkt hier ein weiterer Wagen. Greife aber ein, da ich durch evtl. Wendemanöver ect. das aufgebaute Teleskop in Gefahr sehe. Spreche den Fahrer auf deutsch an. Volltreffer! Wollte den aufgehenden Orion betrachten. Schicke ihn mit gutem Rat weiter zur Aussichtsplattform. Da kann man den Orion noch besser sehen.

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{{Abell 80}}

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Gönne mir anschließend ein Schlückchen Rotwein. Die Dämmerung schreitet rasant schnell voran. 

Heute möchte ich die gestern begonnene Zeichnung von IC 5076 fertigstellen. Mir ist gestern eine kleine, aber deutlich sichtbare "Fahne" entgangen, die ich heute sicher erkenne und in die Zeichnung aufnehme.

Damit bin ich dann neben diversen Ergänzungen von weiteren Sternen mehr als eine Stunde beschäftigt. Panoramen möchte ich auch noch schießen.

Schließlich als die ersten Aufnahmen im Kasten sind, wende ich mich Abell 80 zu. Etwas hakelig aufzufinden, da in der Lacerta die Milchstraße gut vertreten ist. Schließlich finde ich die richtige 
Position und Abell 80 kann erfolgreich gesichtet werden.

''Abell 80:'' Mit OIII-Filter wird bei 114 facher Vergrößerung ein kleiner, runder Nebel direkt an einem Stern sichtbar. Kann indirekt nicht ständig gehalten werden. Taucht aber sicher immer wieder auf. Ist zwar recht schwerer Abell, aber nicht einer der schwersten.

Nun geht es zum "Cone"-Nebel. Erinnere mich nicht daran, ihn einmal beobachtet zu haben. Schon erstaunlich.

''NGC 2264 - "Cone"-Nebel:'' Unweit des Rosettennebels zu finden. Zu sehen ist zunächst ein lockerer unregelmäßiger, aber aus hellen Sternen bestehender offener Sternhaufen. Um den hellsten Stern und der angrenzenden Sterngruppe zeigen sich bereits ohne Filter ovale, recht helle Nebelteile. Mit UHC bzw. OIII werden weitere schwächere Nebelteile sichtbar.

Jetzt wird das zweite Pano gemacht.

Anschließend bleibt noch eine halbe Stunde Zeit bis der Mond aufgeht. Ich nutze sie und starte meine Zeichnung zum Rosettennebel. Der Nebel zeigt sich riesig im 100° Okular bei großer AP. Ohne Filter recht matt, aber mit OIII eine wahre Pracht. Gegen 01:10 Uhr wird es schließlich im Südosten heller. Erstaunlich, wie das Mondlicht um sich greift und schließlich zunächst den Horizont erhellt um dann schließlich sich über den gesamten Himmel auszubreiten. Ich futtere jetzt noch mein Brot und breche gegen 02:00 Uhr auf.  Da hat der Halbmond die Bergkette erklommen.

Am darauffolgenden Morgen bin ich recht früh wach und sehe den Erdschatten beim Untergang kurz zu. Hohe Zirren stehen am Himmel. Eine Stunde später zeigt sich die Sonne und mir fällt auf, dass die Mandelbaumblüte schon vorbei ist, obwohl sie normalerweise erst jetzt einsetzt. Das entsprechende Fest in Puntagorda ist auch erst in ein bis zwei Wochen. Ob das mit "El  Niño" zu tun hat? Wer weiß.

[[Weiter zur nächsten Nacht >>|2. Januar 2016 - Roque de los Muchachos]]

Mit dem Schwung vom [[diesjährigen Deep Sky Meeting|https://www.astromerk.de/dsm-informationen/497-deep-sky-meeting-2024-die-nachschau.html]] geht es in den April. Zunächst sieht es so aus, als würde es keine klare Nacht geben, aber dann hat schließlich der Wettergott erbarmen mit uns. Mathias kann heute nicht, er muss arbeiten! Arbeiten, na sowas. Also bin ich heute allein. Es ist praktisch auch die letzte Nacht, die sich in diesem Monat zumindest technisch noch nutzen lässt. 

Der Mond geht eine halbe Stunde nach Einbruch der Astronomischen Dämmerung unter und insgesamt sehr spät, nämlich um 22:30 Uhr. Ich habe hin und her überlegt, ob ich die Nacht noch machen sollte, denn in circa zwei Wochen geht es ja nach Namibia. Aber aufgrund diverser anstehender Tests kommt die Nacht doch recht gelegen.

Die Länge der Nächte schrumpft im April enorm. So sind es nur noch knapp sechs Stunden. In vier Wochen werden es nur noch drei sein! Für mich ist die Nacht  jetzt Gold wert, denn ich werde noch mal ein paar Fotografiegeschichten ausprobieren. Insbesondere möchte ich einige Nightscape Aufnahmen stacken und den Unterschied zu Einzelaufnahmen noch mal prüfen. Mal sehen, ob sich das Stacken tatsächlich lohnt, denn die modifizierte Sony A7s zeigt bereits so kaum Rauschen.

Am zurückliegenden Wochenende war es bereits mit fast 30 °C sommerlich warm. Sehr ungewöhnlich für Anfang April. Aber nach zwei Tagen zog wieder eine Kaltfront durch und damit war die Wärme wieder weg. Heute ist mit Nachttemperaturen um 4 °C zu rechnen. Das bedeutet hier am Platz möglicherweise sogar Frost, denn hier ist es immer etwas kälter, als die Vorhersage meint. Die allerletzte Prognose am Morgen sagt ab circa 1:00 Uhr Uhr leichte Zirren voraus. Nicht so gut. Aber dennoch soll es bis ca. 4:00 Uhr gehen. 4:30 Uhr setzt sowieso die Dämmerung ein.

Die Wettervorhersage macht es bis kurz vorher richtig spannend: praktisch alle sagen die Nacht über hohe Bewölkung voraus, die dann aber am Ende doch später kommt als von allen vorhergesagt. 7Timer sagt kurz vor Aufbruch sehr gute Transparenz bei geringer hoher Bewölkung und plötzlich keinen Tau mehr voraus. Und so kommt es auch!

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Ich bin seit dem frühen Nachmittag in Birx. Mich zieht es wieder an diverse Plätze in der Nähe des Dorfes. Immer wieder schön von hier oben runter zu schauen. Hier der Blick von Birx rüber zur Wasserkuppe. Das Dorf im rechts oben im Bild ist Wüstensachsen. Sony A7 mit CZJ Pancolar 1.8/f2 bei f4.

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Hier ist alles knatsch grün. Der Frühling hat bereits sehr früh hier oben angekommen. Blick vom Hutweg zurück auf Birx. Oben nahe der Bildmitte ist die Wasserkuppe mit dem Radom zu erkennen; Aufnahmeequipment wie oben.

Ich treffe bereits kurz nach Sonnenuntergang am Platz ein. Ich weiß, die Dämmerung dauert im April schon gefühlt ewig. Aber das stört mich nicht, denn ich möchte im Vorfeld auch fotografieren. Insbesondere ist ein Timelapse heute Nacht geplant, quasi als Trockenlauf für den Südhimmel. Und das braucht alles Vorbereitung. Da geht mit Hektik nur alles schief.

!12P/Pons-Brooks mit Mond & Jupiter

Mega beeindruckend ist der Mond knapp über dem Westhorizont zusammen mit Jupiter zu sehen. Etwas unterhalb der Mondsichel🌒 ist der Komet zu erkennen. Mit bloßem Auge nicht auszumachen, zumindest um 21:40 Uhr noch nicht. Im Feldstecher sind alle drei zu erkennen und richtig spektakulär. Der Komet ist grünlich, zeigt nur einen kurzen Schweifansatz, jedoch eine helle Koma.

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Einzelaufnahme mit dem Takumar 50mm bei Blende f2.8 und der Sony A7s. Der Komet 💫 ist bereits unterhalb des Mondes (schwer) erkennbar.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/45x6J60114" title="Jupiter, Mond und 12P/Pons-Brooks und ein heller Meteor"><img src="https://live.staticflickr.com/65535/53649362599_3b72a4602d_k.jpg" alt="Jupiter, Mond und 12P/Pons-Brooks und ein heller Meteor"/></a>

Eine weitere Einzelaufnahme: Samyang 135mm f2 abgeblendet auf f2.8 und 6 sec belichtet. Rechts im Bild ein heller Meteor. ☄️ Der Komet 💫 ist der leicht verwaschene Stern rechts unterhalb der Mondsichel und knapp über dem Horizont.

Der Himmel wirkt gut und ist es auch: 21.28 ohne Linse und mit 21.45 und das, obwohl der Mond immer noch 22:15 Uhr über dem Horizont steht und die astronomische Dämmerung erst in einer Viertelstunde einsetzt. Wirklich hervorragende Bedingungen heute.

Etwa eine Stunde später: 21.4 ohne Linse 21.56 mit. Ausnahmenacht um 23:30 Uhr. Ich starte mit ein paar Schaustücken. M 51 und M 101. Heute wirklich gut zu erkennen, sehr kontrastreich. Bei mittlerer Vergrößerung sind sie einfach spektakulär anzusehen. Dann geht es weiter zum Leo-Triplett. Zwischendurch M 13. 

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Stack aus drei Einzelaufnahmen je 30 sec, die nachgeführt wurden. Man sieht wie schön dunkel der Himmel ist und dass bereits ganz tief am Horizont hohe Wolken ☁️ aufkommen. Die Wintermilchstraße ist bereits untergegangen, und M44 - gut zu erkennen - steht kurz davor.

!M 99

Sehr schöne Galaxie, die bei Übersichtsvergrößerung hell und diffus erscheint. Zentrum ebenfalls diffus, jedoch bei gutem Seeing immer wieder sternförmig zu erkennen. Mehrere Spiralarme gut sichtbar. Darüber hinaus sind auch sehr schön diffuse Knoten und südlich eines nahen Vordergrundsterns sogar zwei sternförmige Knoten erkennbar.

21.44 ohne Linse, 21.66 mit! Ausnahmenacht! +3 °C und alles ist trocken. Keine Feuchtigkeit! Wunderbar! Der Satellitenfilm zeigt, dass vor drei - wahrscheinlich habe ich sogar Zeit - bis vier Uhr keine Wolken auftauchen werden. Perfekt! Die SQM-Werte steigen weiter! 21.5 ohne Linse und 21.7 mit Linse! Jetzt haben wir wirklich La Palma Himmel. 01:30 Uhr. Seeing ist aber teilweise richtig schlecht!

Bummms, ein Schuss. Ein Jäger scheint in der Nähe zu sein.

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!NGC 4559

Eine Zeichnung mit 14 Zoll liegt vor, aber irgendwie gefällt mir die nicht mehr. Habe zur damaligen Zeit auch mit niedriger Auflösung gescannt beziehungsweise die Bilder mit geringer Auflösung final gespeichert.

!!Abell 1656 und andere Sachen

Wie beim letzten Mal zeigen sich außer den beiden hellen strukturlosen Galaxien nichts. Doch nach ein paar Sekunden füllt sich das GF mit kleinen, gut erkennbaren ovalen Galaxien. Ein Augenschmaus.

Eingerahmt von drei Feldsternen zeigt sich eine längliche, helle Galaxie. Schwaches, kaum sternförmiges Zentrum erkennbar. Sofort werden mit direkten Sehen circa drei Spiralarme sichtbar. Indirekt verläuft einer sehr weit, fast schwertartig auf einen in der Nähe befindlichen Feldstern zu. Innerhalb der Spiralarme sind immer wieder hellere Knoten, zum Teil definiert, zum Teil, aber auch diffus und groß. Außerhalb des Galaxienkörpers, abseits der Feldsterne, auffälliger diffuser Knoten in einem an dieser Stelle auslaufenden Spiralarm. 

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Das Tor unten im Bild steht schon. Es ist für die Kühe gedacht, die bald auf der Wiese einziehen werden. Dann wird allerdings noch der Zaun benötigt.

Für einen weiteren PN in der Sommermilchstraße ist das Seeing leider zu schlecht. Es handelte sich dabei um NGC 6881. Daher lande ich wieder bei den Highlights und damit auch wieder bei M 51. Die Galaxie steht vor einem herrlich dunklen Himmelshintergrund. Gegen 3:30 Uhr taucht im Westen eine diffuse Zirrenwand auf, die sich aber interessanterweise auflöst. Mittlerweile ist es 4:00 Uhr und diese schöne Nacht geht langsam vorüber. Es gab kein Tau, allerdings laut Thermometer Frost.

Ich schaue einfach am Himmel ein wenig rum. Mittlerweile steht der Skorpion schon fast im Süden und es lohnt sich auch mal kurz die Südhimmelobjekte einzustellen. Ich überlege erst, ob das wirklich sinnvoll ist, denn in zwei Wochen bin ich ja unter richtigem Südhimmel. Aber was soll’s. Das ist ja schon eine schöne Einstimmung: Ich schaue mir den Schwanennebel an und bin überrascht, was man alles erkennen kann. Der Dobson, der fast waagerecht liegt und M 8 ist drin. Wahnsinn! Ich glaube, dabei belassen wir’s. Mega Nacht!

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Gestern Nacht war Bergfest. Die Hälfte ist geschafft. Jetzt kommen nur noch fünf Nächte. Es geht auch auf Neumond zu. Ich bedecke die Sonne mit dem Zeigefinger ca. eine Stunde vor Sonnenuntergang, zeigt sich kein Hof. Transparenz ist heute auch wieder sehr gut. Tagsüber gab es gar keinen Wind und jetzt auch nicht. Das SQM-L klettert wieder auf 22.10. 

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[[NGC 3918]]: Wieder eine Nachschau. Nutze diesmal statt dem Ethos meine Pentax Okulare (24.5mm Steckdurchmesser). Diese zeigen den Nebel nochmal einen Ticken heller. Beobachte schließlich mit dem 3.8 mm XP und kann heute bei sehr gutem Seeing sogar Knoten und Segmente in bzw. auf der hellen Nebelschale erkennen. Dies gelingt eher zufällig beim Betrachten der äußeren Auswürfe. Insgesamt zeigen sich im Innern fünf Knoten. Drei im Süden und zwei im Norden der hellen Nebelschalen. Diese wirken unregelmäßig und z.T. länglich. Darüber hinaus sind Verbindungslinien dazwischen bzw. in Verlängerung dieser erkennbar. Die Strukturen können immer wieder blickweise erkannt werden und sind nicht ständig zu halten, blitzen aber für zwei bis drei Sekunden immer wieder zuverlässig auf. Der „Jet“ ist heute einfach zu sehen und etwas abgesetzt ist ein Stern zu erkennen. An der Spitze des „Jets“ kurzes, helles Teilstück. 180° versetzt auf der gegenüberliegenden Seite schwacher diffuser Auswurf an den sich etwas abgesetzt - wie gestern auch - ein weiteres Filament bzw. Bogen anschmiegt. Heute ist tatsächlich auch erkennbar, dass diese getrennt voneinander sind. An der Spitze des Bogens sternförmiger Knoten der indirekt knapp nicht zu halten ist. Wunderbares Objekt! Seeing 1-2 trotz relativ geringer Höhe.

[[NGC 5882]]: Leicht ovaler, sehr heller Nebel. Bei 100 fach bläulich. Bei 660 fach (Pentax 3.8mm XP) wird bei geduldiger Beobachtung eine schmale, langezogegene von N-S orientierte Nebelschale sichtbar, die im Süden offen ist und definierte längere Kanten im Osten und Weste hat. An der Südostseite hellerer Knoten. Die Nebelschale ist einen hellen, leicht ovalen Nebel ohne irgendwelche Strukturen eingebettet.

[[NGC 6572]]: blaugrüner Nebel bei 100 fach.Bei 670 fach ist immer noch die blau grüne Farbe wahrnehmbar. Steigere die Vergrößerung auf etwa 1400 fach. Gehe dann aber wieder zu 670 fach zurück, da sich der Nebel so definierter zeigt. Es zeigt sich ein ovaler Hallo, in den eine lang gezogene Nebelschale eingebettet ist. Bei sehr gutem Seeing wird ein sehr, sehr heller Kern in dessen Mitte sichtbar. Form rund, und nicht ganz geschlossen. Ihn umgibt eine gut definierte Nebelschale, die lang gezogene Arme zeigt. Auf einer Seite ist ein versprengtes Nebelteil zu sehen. Habe 3-4 mal den Eindruck, den Zentralstern schwach auf blitzend mittig in der hellen Nebelschale zu sehen. Seeing 1-2. Wunderschön!

Das SQM–L zeigt wieder Werte über 22.0 an. Hubert kommt heute mit seinem SQM-L vorbei und wir haben Vergleichsmessung angestellt. Das Ergebnis ist, dass die Werte aus beiden Geräten um circa 0.05 abweichen. Das ist aber nicht dramatisch. Die nächsten Tage werden zeigen, ob dies weiterhin so bleibt.

Mars zeigt sich ebenfalls mit Strukturen. Die große Syrte ist recht gut zu erkennen. Die nördliche Polkappe zeigt auf dem markanten Randstrukturen, die gut zu erkennen sind.

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Ein französischer Fotograf schaut vorbei. Wir reden ein bisschen und schließlich kommt der Vorschlag von Stefan den Pferdekopfnebel einzustellen. Wird natürlich gemacht und mit seinem 31er Nagler zeigt sich der Pferdekopf schließlich sehr, sehr deutlich. Ich kündige an, dass ich morgen leider beim Abendessen früher gehen muss, da ich festgestellt habe, dass morgen um 19:28 Uhr Ortszeit ein Jupitermondtransit von Io ansteht.

Weiter geht es zu den Galaxien und -Gruppen. Als erstes zu NGC 1365. Es zeigt sich eine sehr helle und wie aus dem Lehrbuch geschnittene Balkenspirale. In der Nähe befinden sich eine Vielzahl von kleinen Nebelbällen, denn NGC 1365 steht in mitten des Fornax-Galaxienhaufen. Schließlich gehe ich weiter zu NGC 1097. Hier das gleiche: Balkenspirale! Den stellaren Kern umgeben etwa ein Dutzend stellare Knoten. Bei dieser Galaxie muss man sich sehr viel Zeit nehmen. Denn sie zeigt zwar auf den ersten Blick keine Details, diese werden aber bei geduldiger Beobachtung sichtbar. Insbesondere wenn man einen UHC-Filter benutzt, werden einige Bereiche in den Spiralarmen heller.  Nun werde ich zu Stefan gerufen. Der Tarantelnebel ist eingestellt. Wahnsinn! Schon im 15 Zöller ist das Teil richtig schön zu sehen. Ich schaue noch ein bisschen NGC 1097 und stelle ich auch den Tarantelnebel ein. Kommen schließlich auf die fixe Idee Thorˋs Helm einzustellen. Es ist mittlerweile 6:02 Uhr und die Dämmerung schon im Anmarsch. Trotzdem finde ich den Nebel schnell und wir nehmen uns noch die Zeit einen UHC-Filter ins Okular zu schrauben. Es reicht nur für einen kurzen Blick und dann ist auch schon Die Dämmerung da.

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[[<<Zurück zur vorangegangenen Nacht|9. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|11. August 2018 - Tivoli Astrofarm]]

Die Nacht vom 10. Dezember ist bewölkt. Ich nutze die Zeit, um mal hoch zum Gipfel zu fahren. Mich erwartet dort ein farbenreicher Sonnenuntergang und ein „brennender Himmel im Anschluss“. 

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Blick vom Mirador de Los Andenes aufs Meer.

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im Vordergrund die Caldera, im Hintergrund Teneriffa.

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Hier ist schön die Staubschicht zu sehen, die sich in mittleren Lagen praktisch die gesamten Tage gezeigt hat. Erstaunlicherweise hat sie die Gipfelregionen immer nur kurzzeitig erreicht und ist dann wieder verschwunden, so dass die Transparenz in den Höhenlagen die ganze Zeit über sehr gut war.

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Hier der Blick vom Roque runter auf das Aridane Tal.

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Und hier in der Nähe des JKT an einem Aussichtspunkt, von dem die Caldera aus sehr gut eingesehen werden kann.

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Blick vom Mirador auf dem Roque rüber zum Birigoyo und den dahinterliegenden südlichen Teil der Insel.

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An diesem Abend sind zusätzlich hohe Wolken unterwegs, die auch eine  Beobachtung nachts praktisch verhindern. Trotzdem zeigen Sie sich in der Dämmerung sehr farbenfroh, wie man auf den folgenden Fotos gut erkennen kann. Die Stimmung war tatsächlich magisch.

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Auf dem Roque wehte einige Tage über auch überhaupt kein Wind.

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Hier ist das TNG zu sehen.

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Das GTC hat schon seine Kuppel geöffnet. Anschließend mache ich mich auf den Rückweg und gehe diesmal früher ins Bett. In der Nacht werde ich wach und schaue kurz raus, aber der Himmel ist teilweise bewölkt mit durchziehenden hohen Wolken.

[[<< Zurück zur letzten Nacht|9. Dezember 2023 - Athos Star Campus]] | 
[[ Weiter zur nächsten Nacht >>|11. Dezember 2023 - Athos Star Campus]]

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Morgens nach der Rückkehr am Haus ist es sehr windig. Das wäre eine Überraschung gewesen, wenn ich gestern hier her wegen des Windes geflüchtet wäre. Bin hundemüde und schlafe bis um 15:30 Uhr. Heute scheint auch noch was zu gehen. Alles zusammen packen und los geht es. 

Oben ist es windig. Suche die Beobachtungsplattform am "Mirador de los Andenes" auf. Gegenüber befindet sich die "Degollada de los Franceses". Es ist absolut windstill. Ein Glück. Neben dem Schild baue ich auf. Zwei Meter und es geht tief in den Abgrund :)

Hier habe ich mit einem Sternfreund vor ca. dreieinhalb Jahren eine wunderbare Nacht verbracht. Damals war es aber recht windig, wie ich mich erinnere.
Als es dunkel ist, sehe ich auf dem Meer durch eine Wolkenlücke ein sehr auffälliges ausgedehntes Licht. Ein Schiff! Aber so groß? Der Feldstecher ist schnell bei der Hand und ja es sieht wohl so aus. Mit zwei Decks. Kreuzfahrtschiff! Schon erstaunlich, was man hier alles zu sehen bekommt.

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/23770170124/in/datetaken/" title="Rising &quot;False Cross&quot; over El Hierro (Canary Island)"><img src="https://farm2.staticflickr.com/1693/23770170124_9b6fdda635_h.jpg" alt="Rising &quot;False Cross&quot; over El Hierro (Canary Island)"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Das „Falsche Kreuz“ geht auf. Rechts die Spiegelung von Canopus auf dem Meer.</div>

Gegen 20 Uhr bin ich beobachtungsbereit und möchte mich Abell 86 widmen. Da kommt ein Auto angefahren und hält. Ich versuche mit Handbewegungen anzudeuten, um die Leute zum weiterfahren zu bewegen. Nein. Sie parken auf der kleinen Aussparung direkt neben mir und dem Teleskop. Ich bin sauer. Spreche sie auf deutsch an. Volltreffer. Ja, auch Amateure. Wollen Fotos machen. Ich bitte darum wo anders zu parken. Fehlanzeige wollen genau hier bleiben. Mit Weißlicht wird herumgefuchtelt. Ein heftiger Streit entbrennt. Ich rege mich fürchterlich auf. Nichts hilft. Ich muss es akzeptieren.

Ich versuche mich auf Abell 86 zu konzentrieren. Die Kollegen sind am Kraterrand verschwunden. Glaube den Nebel gesehen zu haben. Die Kollegen sind schon fertig. Komme mit einem von beiden in Gesprächs und ich entschuldige mich für mein Verhalten. Beginne eine Zeichnung. Dann sind die Kollegen weg. Schaue noch mal nach dem Nebel. Und sehe das hier.

[[Abell 86]]: Typischer Abell. Es zeigt sich bei 114 facher Vergrößerung an der richtigen Position ein runder Nebel. Mittelgroß für einen Abell. Kann indirekt nicht gehalten werden, sondern blitzt lediglich hin und wieder auf. Versuche auch geringere Vergrößerung von 65 fach. Ist auch zu sehen. Aber insgesamt scheint die 114 fache Vergrößerung trotzdem besser zu sein, da der Kontrast zum Himmelshintergrund besser ist und das Objekt besser zu sehen ist. Schwer!

Dann entschließe ich mich ein Panorama zu schießen. Möchte erst auf die Wintermilchstraße mit Sirius am Kraterrand machen. Nach den ersten Bildern entschließe ich mich weiter zu machen, d.h. ein All Sky zu machen.

Der Wind legt zu. Offenbar dreht er von WSW auf NNW. Bin mit dem Panno ca. zweieinhalb bis drei Stunden beschäftigt.
Betrachte dabei auch die Milchstraße im Sternbild Vela und versuche mich an Namibia letztes Jahr zu erinnern. Dabei kann ich Canopus und das falsche "Kreuz des Südens" ausmachen. Letzteres hat mich wie so viele vor mir auf Tivoli häufig in die Irre geführt, das es wie das echte "Kreuz des Südens" aussieht, aber von schwächeren Sternen gebildet wird und seine Position am Himmel natürlich eine andere ist.

Der Himmel bricht stellenweise ein. Von 21.65 auf 21.4. Die für morgen angekündigten Zirren sind wohl schon da.

Ich beobachte nach der Fotosession viele Standardobjekte wie M36, M37, M38 und M35. Dann M42. Den Flammennebel. Was kann ich jetzt noch beobachten? Die Wahl fällt auf den Medusa Nebel. Auf dem Weg dorthin folgenden Offenen Sternhaufen gesehen. 

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![[All Sky Panorama - Roque de los Muchachos]]

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{{All Sky Panorama - Roque de los Muchachos}}

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''NGC 2395:'' Sehr unscheinbarer, lockerer und unregelmäßiger Offener Sternhaufen. Hat die Form eines Vogels. Ca. drei Dutzend Sterne ähnlicher Helligkeit.

Große Vergrößerung machen wegen dem schlechten Seeing und dem heftigen Wind keinen Sinn. Das Seeing ist so schlecht, dass sich bei 168 fach die "hinteren", näher beieinander stehenden, Trapezsterne kurzzeitig berühren und im Schnitt aber einen Sterndurchmesser Luft haben. Der Seeing Monitor vom ING sagt 2". Da die Trapezsterne lt. Sky Safari etwa mehr als 10" Abstand haben, sind das dann aber etwas mehr als 3"! Wenn sie sich berühren etwa 5". MMhhhmmm.

Der Wind ist so heftig, dass er das Teleskop verstellt und folgendes Objekt für mich einstellt:

''NGC 2355:'' Interessanter Offener Sternhaufen. Er ist kompakt und unregelmäßig, wobei die runde Grundform aber dominiert. Im Außenbereich befindet sich ein heller Stern. Ob er dazu gehört. Keine Ahnung. Anzahl der Sterne ca. vier bis 5 Dutzend.

So jetzt der Medusa Nebel.

''Abell 21:'' Sichelförmiger Nebel, der schon bei 65 fach ohne Filter sichtbar ist. Mit OIII zeigt er sich im Innern ausgefranzt und einigen Dunkelstellen. Neben der äußeren Nebelkante, die den Nebel begrenzen, gibt es noch eine im Innern liegende. Insgesamt sehr großer Nebel.

Es geht weiter mit Standardobjekten, wie M68, den Antennengalaxien, M95, M105. Ellis 6 fällt mir in Sky Safari vor die Füße. Aber nichts zu erkennen. Weiter zum Galaxienquartet um NGC 3016. Dann M81 und M82. Glaube zeitweise ein neues Teleskop zu haben, da die Objekte so hell erscheinen. Omega Centauri. Steht für den Dobson leider zu tief. Dann Abell 1656. Ein genialer Galaxienhaufen. Sofort sind ein Dutzend Galaxien sichtbar. Anschließend Marakarian's Chain. Unbeschreiblich. Dann das schöne Paar NGC 4550/51.

Jetzt ist es schon sechs Uhr durch. Bald wird die astronomische Dämmerung einsetzen. Der Wind lässt nach. Ja, jetzt. Der Himmel hat sich erholt und steuert wieder auf die 21.6 zu. Ich packe zusammen. Dieser Beobachtungsplatz ist wie verhext. Immer nur Wind. Ich hätte es wissen müssen. Und ich wusste es. Ob es mir am Haus oder unterhalb der Teleskope besser ergangen wäre, lässt sich natürlich im Nachhinein nicht sagen. Ich bin wie gestern um ca. acht Uhr im Bett. Morgen, äh heute, werde ich nicht beobachten, da Wolken angekündigt sind. 

[[Zurück zum Artikel >>|Silvester auf La Palma]]

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Blick nach Birx nahe der ehemaligen innerdeutschen Grenze. Im Hintergrund ist die Wasserkuppe mit dem Radom zu erkennen. CZJ Pancolar 50 f1.8 und Sony A7s.

Ich war wieder tagsüber am „verbotenen Beobachtungsplatz“ unterwegs. Habe einen wunderschönen Sonnenuntergang genossen und dann auch den sehr schönen Erdschatten aufgehen sehen, d.h. die Bedingungen stimmen heute. 

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Blick von der ehemaligen innerdeutschen Grenze rüber zur Wasserkuppe. CZJ Pancolar 50 f1.8 @f5.6 und Sony A7s.

!Hell, heller…Rhön

Bin wieder in der Langen Rhön und bin recht früh nämlich um 19:30 Uhr am Platz. Die ersten Messungen mit dem SQM-L lassen nichts Gutes ahnen, denn es werden Werte um 21.1 angezeigt. Also das gleiche  wie gestern. Also liegt es doch an der Lichtverschmutzung. Nun gut, da kann man halt nichts machen. Außer natürlich warten, bis die Nacht weiter voranschreitet und die Lichtquellen abgeschaltet werden. Ich bin heute mit Mathias verabredet, der sich für 22 Uhr angekündigt hat. Keine Ahnung, wie lange er bleiben wird. Wind ist komplett weg und das tut dem Seeing richtig gut, denn direkt das erste Objekt ist Jupiter und man kann fast alles erkennen. Sogar die Monde sind kleine Scheibchen. Also ganz gutes Planetenseeing. Ich habe natürlich heute nur Objekte dabei, die man nicht stark vergrößern muss, denn ich bin davon ausgegangen, dass sich das schlechte Seeing nicht ändern wird. Hat es sich aber. Das ist auf jeden Fall eine gute Sache!

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Die Temperaturen sind ähnlich wie gestern -6 °C. Wahrscheinlich werden es dann wieder -8 °C. Aber aufgrund des fehlenden Windes ist es wirklich sehr angenehm. Allerdings ist die Luftfeuchtigkeit heute deutlich höher. Im Moment werden um die 60% angezeigt, aber das Gerät war ja in der warmen Stube und braucht eine gewisse Zeit, bis es die Außentemperatur und auch die Luftfeuchtigkeit korrekt anzeigt.

![[Van den Bergh 31]]

Wunderschöner Reflexionsnebel. Kann bis auf 231x vergrößert werden und es zeigt sich um einen hellen Stern ein diffuser, den Stern etwa halbkreisförmig umgebender Nebel, der allerdings zwei bipolare Fahnen zeigt, die weit ins umlaufende Feld hinausragen. Der Halbkreis zeigt in der Mitte einen sehr gut erkennbaren Rand, der quasi fast wie abgeschnitten wirkt. Die Fahnen sind nicht bis zum Ende hin ganz zu verfolgen, da offenbar zu schwach beziehungsweise die Öffnung nun doch zu klein ist. Trotzdem sehr schöne Beobachtung. Seeing 2.

Wunderbare Nacht heute. Das einzige ist die Luftfeuchtigkeit ist mal wie hier üblich einfach so auf über 80 % gestiegen. Trotzdem ist es immer noch recht angenehm. Es bilden sich noch keine Eispanzer. Mal sehen, wie das weitergeht. SQM-L steigt weiter Richtung 21.2 an. Ich fahre wieder ein paar Highlights an so zum Beispiel M 31 und M 33. 

Anschließend bin ich weiterhin in der Andromeda unterwegs, diesmal handelt es sich wieder um eine Nachschau, nämlich um NGC 891. Ich habe die Superthin ja von der Palma aus gemacht, aber wie das so immer ist beim Reinzeichnen wieder Zweifel bekommen und jetzt muss ich halt wieder nachschauen wie man das ganze doch gut einfängt.

!M 1 - Krebsnebel

Wunderbar! Bei 148x und [OIII] wird sofort ein spinnennetzartiges Gebilde sichtbar, das in einen ovalen Glow eingebettet ist. Wirklich faszinierendes Objekt.

Mathias ist endlich eingetroffen. Und zwar eine halbe Stunde zu spät, wenn ich das richtig notiert habe. Zuvor habe ich schon geglaubt, dass er ankommen würde, aber es war nur ein durchfahrendes Auto, was dann etwas später wieder zurückkam. Aber nun ist er hier und mit kleinem Besteck unterwegs. 10 Zoll! Mit sowas würde ich gar nicht beobachten. Kleiner Scherz. 

![[Van den Bergh 8]]

Am hellsten Stern innerhalb einer Sternenkette wird ein gebogener Nebel sichtbar, der direkt durch den Stern zu gehen scheint. Der kurze Ansatz ist recht hell und gut zu erkennen. Es gibt aber auch hier gegenüberliegende Fahnen, die weit vom Stern weg zeigen. Sehr schönes Objekt. 148x & 231x. Seeing 3.

Mittlerweile 87 % Luftfeuchtigkeit und zwischendurch waren es -10 °C, mittlerweile aber -9 °C. Ich baue ab, Mathias bleibt bis vier Uhr. Meine Okulare sind mittlerweile leider beschlagen, was vermutlich auch daran liegt, dass ich bereits seit 19:30 Uhr beobachte und das Zeug einfach zu stark ausgekühlt ist. 1:00 Uhr. Schluss für heute. Ebenfalls ein Novum, dass ich vor Mathias zusammenpacke und abfahre.

[[<< Zurück zur letzten Nacht|9. Januar 2024 - Lange Rhön]] | [[Weiter  zur Beobachtungsübersicht >>|Windiger & kalter Jahresauftakt in der Rhön]]

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Wind hat deutlich zugenommen. Zum Glück lässt er etwas nach. Morgen soll er noch stärker wehen. Abziehende vereinzelte Quellwolken. Zunächst checke ich das Seeing. Das ist sehr gut, wie ich an Jupiter sehen kann. Denn der Schatten von Io zieht vor dem Planeten vorüber. Io selbst wäre auch zu sehen. Ist aber nicht zu erkennen.

Als erstes Objekt steht das [[ODM für Juli 2018|http://www.astrotreff.de/topic.asp?TOPIC_ID=226648]] im Fokus.

[[NGC 6884]]: Bei 290 fach nur schwer als Planetarischer Nebel erkennbar. Bei circa 1000 fach wird ein kleiner Nebelball sichtbar, der sehr schnell als gefüllter Ring erkannt werden kann. Hellere Kanten westlich und östlich mit hellerem Knoten. Seeing 1-2. 

Habe mich heute mit der Wahl auf der Wiese leider ein wenig verzockt: der Wind setzt mir ganz schön zu. Bei den hohen Vergrößerung ist das nämlich nur nervig. Wenigstens wird er nicht stärker.

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43296778092/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1821/43296778092_e8d2e14a68_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Morgendämmerung gegen 05:15 Uhr.</div>

[[Minkowski 2-15]]: Erst bei 290 fach als kleiner runder Nebel  zu erkennen. Bei tausendfach immer noch rund mit angedeutetem Ring. Bei 800 fach optimal: bei sehr gutem Seeing wird jetzt die Ringform recht gut erkennbar. Auf dem Rand blitzt immer wieder ein sternförmiger Knoten auf. Verortung ist schwierig, aber geschätzt südwestlich.

Surfe mit dem Feldstecher durch die südliche Sommermilchstraße. Die große Sternwolke im Schützen erscheint im Feldstecher gelblich. Sie ist gut strukturiert und es macht einfach nur Spaß sie abzufahren. M24 steht hier schon so hoch, dass man fast eine Genicksstarre bekommt. Ich muss mich selbst ermahnen, bei diesen guten Seeing nicht meine Zeit mit zehnfacher Vergrößerung zu verschwenden.

[[NGC 6439]]: Bei 290 fach absolut sternförmig. Bei 800 fach rund, hell. Bei geduldiger Beobachtung zeigt sich südlich auf dem Nebelrand hellerer Knoten. Von dort aus scheint die Nebelkante etwas heller zu sein. Dadurch wird immer wieder ein Ring vorgetäuscht.

SQM-L 21.76 im Zenit. Der Himmel wird seifiger. 

[[NGC 6210]]: Sehr schwieriges Objekt. Versuche verschiedene Vergrößerungen zunächst tausendfach. Es zeigt sich ein sehr, sehr heller Nebel und Strukturen sind kaum auszumachen. Deshalb gehe ich zurück auf 800 fach. Schließlich zeigt sich ein rombenförmige Nebelschale. Denke mal wieder, dass Seeing einfach zu schlecht ist. Beim Betrachten der Sterne im Okular hingegen stelle ich fest, dass das Seeing ganz ausgezeichnet ist. Gehe schließlich auf 430 fach zurück und nutze einen OIII-Filter. Mit dem Filter gewinnt der Nebel noch mal deutlich an Helligkeit und die Nebelschale wird deutlicher sichtbar. Darüber hinaus werden abgehende ganz schwache Auswürfe sichtbar, an deren Ende sich Ansen zeigen. Ohne Filter sind diese nicht zu sehen. Wirklich ein sehr sehr schwieriges Objekt. Der Filter hat an dieser Stelle den Durchbruch gebracht.

Während La Palma in der Calima absäuft, gibt es hier den besten Himmel. Zwar hat die Vorhersage - ja, für so was gibt es auch eine Vorhersage - hier leichte Calima vorhergesagt, aber angekommen ist wenig. Gut so.

Es ist jetzt mittlerweile 4:00 Uhr.

[[NGC 6772]]: schon bei 65 fach gut zu erkennen. Am besten bei 290 fach und OIII-Filter. Dann wird ein schwacher Nebelring sichtbar, der Innen schwach gefüllt ist. Nach Süden hin ist der Nebelring offen.

Es ist 5:00 Uhr. Damit ist die Nacht vorbei. Leider.

[[<<Zurück zur vorherigen Nacht|9. Juli 2018 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|11. Juli 2018 - Pinar de Araceli]]

Habe leider nicht ausreichend geschlafen. War auch gestern erst um 7:30 Uhr im Bett. Erholung ist momentan das wichtigste.

Vor Einbruch der Dämmerung streunt die letzten Tage ein [[Erdwolf|https://de.wikipedia.org/wiki/Erdwolf]] durch das hohe Gras ganz in der Nähe der Beobachtungsplätze. Es handelt sich lt. Wikipedia übrigens um ein Raubtier, aber er frisst hauptsächlich Termiten. 🐜 Scheu ist er bzw. sie, aber dennoch bekomme ich ihn hin und wieder vor die Linse.

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17:46 Uhr ich bin wieder am Beobachtungsplatz. Mittlerweile bin ich schon sechs Nächte hier, wobei eine davon bewölkt war. Diese hatte ich ja für eine Kurzreise genutzt.

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Ungewohnter Anblick am Osthimmel. Die bei uns tief stehende Sommermilchstraße im Skorpion klettert schnell den Himmel auf. In ein bis zwei Stunden steht die ganze Region aufgrund der steil stehenden Ekliptik bereits sehr hoch.

Deutlich wärmer als gestern. +10 °C und sehr trocken mit 32 % relativer Luftfeuchtigkeit. Transparenz ist heute nicht so gut. Seeing schlecht.

![[Longmore 16]]

Trotzdem starte ich einen bereits mir bekannten Planetarischen Nebel einen kurzen Besuch ab. Es handelt sich um [[Longmore 16]]. Der Nebel steht im Stachel Skorpion und zeigt sich bei 454x länglich beziehungsweise spindelförmig. Aufgrund des schlechten Seeings beobachte ich ihn nur kurz. Sieht tatsächlich eher eine Galaxie ähnlich. Ist auch ein selten beobachtetes Objekt.

Sehr angenehmes Ding heute, denn es ist mit 32 % relative Luftfeuchtigkeit extrem trocken. Trotz knapp 10 °C, wirken die Temperaturen deutlich höher.

[[Palomar 5]]: direkt neben M5 gelegen, tatsächlich ein sehr ungleiches Paar. M5 ist hell und kann mit hundertfach schon bis ins Zentrum komplett aufgelöst werden. Unweit steht der schwache Kugelsternhaufen Palomar 5. Bei 100x kaum zu erkennen. An der richtigen Stelle wird dann ein Glow sichtbar. Vergrößere weiter auf 125x und es sind neben dem Glow weitere ganz feine, schwache Sterne in der Nähe des Zentrums sichtbar. Hierbei sind leicht ein halbes Dutzend direkt zu erkennen. Weitere Sterne sind indirekt immer wieder aufblitzend kurz sichtbar. Sehr interessantes Objekt!

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Der große Wagen steht am Horizont und auf dem Kopf. Dubhe oder Alpha Ursae Majoris steht bereits kurz vor dem Untergang im Norden. Ein wunderschönes Bild zu Beginn einer Beobachtungsnacht!

[[NGC 3195]]. Steht in der Nähe des Himmelssüdpol. Ist schon bei 100x einfach im Sternfeld zu erkennen. Kann bis 670x vergrößert werden und ist aber immer noch hell. Es zeigen sich zwei gegenüberliegende Schalen die sich in der Mitte Richtung Zentrums berühren zu scheinen. Tatsächlich tun sie es aber nicht. An der Außenkante der Schalen blickweise immer wieder hellere Segmente sichtbar. Zentralstern nicht zu sehen, obwohl hin und wieder vermutet.

![[M17]] & M16

Da das Seeing immer wieder einbricht, widme ich mich jetzt ausgedehnteren Objekten. Meine Wahl fällt schließlich M17, dem Schwanen- bzw. Omeganebel. Es zeigt sich bei 125x ein sehr komplexes und helles Objekt. Zeichentechnisch extrem schwierig, da man die vielen feinen Strukturen praktisch gar nicht festhalten kann. Damit meine ich nicht den hell-dunkel Kontrast, sondern die faserige Struktur des Nebels selbst. Bin deshalb selbst nicht ganz glücklich mit der Wahl, aber was hilft’s? Bin schließlich mehrere Stunden am Zeichnen, um die Struktur und die Detailfülle am besten abbilden zu können. Ich kann mich an diesem Objekt praktisch nicht mehr satt sehen, da es einfach so in diesem Gerät ein Traum ist!

Das SQM-L misst 21.85 im Mittel. Gute Nacht ist das heute, Temperatur bleibt bei etwa 8 °C relativ stabil. Nächstes Objekt ist M16 und die Säulen der Schöpfung. Das ist mittlerweile glaube ich die vierte oder fünfte Beobachtung dieses Objekts insgesamt. Handelt sich heute tatsächlich um eine Nachbeobachtung, da ich bisher es nicht geschafft habe die Komplexität aufs Papier zu bringen. Habe jetzt noch mal verschiedene Details geprüft. Mal sehen ob sich die Lage jetzt ändert.

<<<.tc-big-quote

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Region um Eta-Carina. Links der „Running-Chicken“-Nebel. Unglaubliche Himmelsregion. Wahrscheinlich die schönste am Himmel überhaupt, denn sie enthält eine riesige Dichte an Deep Sky Objekten von riesigen Gasnebeln über Offene Sternhaufen bis hin zu Planetarischen Nebeln.

<<<

Nach einer kurzen Kaffeepause geht es weiter mit einer Galaxie.

[[NGC 7496]]: sehr schöne Balkenspiralgalaxie. Relativ lichtschwach, selbst im 25 Zoll Dobson. Bei 278x Vergrößerung zeigt sich ein helles, fast sternartiges Zentrum mit einem prominenten Balken. Vom Balken gehen, im Wesentlichen zwei Spiralarme nach Norden und Süden, ab. Der nördliche ist an seinem Ende zweigeteilt. Am Ansatz vom Übergang des Querbalkens in den nördlichen Spiralarm zeigt sich ein deutlich helleres Teilstück. Etwas südlich davon hellere Ausbuchtung erkennbar. Der südliche Spiralarm zeigt sich ebenfalls mit hellem Teilstück und am hellen Ende mit drei versetzten Knoten. Etwas nördlich davon weitere Einzelknoten sichtbar. Abgesehen vom südlichen hellen Spiralarm geht ein weiterer diffuser Arm ab. Dieser ist nur indirekt erkennbar. Sehr schöne Galaxie. Seeing 3-4.

Nächstes Objekt ist [[NGC 6445]]. Es handelt sich dabei um einen recht bekannten Planetarischen Nebel. Eine Beschreibung findet man [[hier|30. Mai 2017 - Tivoli Astrofarm]].

Ich möchte heute nichts ernsthaftes mehr anfangen. Dafür bin ich einfach zu kaputt. Ich werde jetzt einfach noch mal bisschen durch die Highlights des Himmels surfen. In loser Folge stelle ich zunächst M27, „Silver Dollar“, NGC 345 ein.

[[<<Zurück zur vorangegangenen Nacht|09. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|11. Juni 2021 - Tivoli Astrofarm]]

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Dies ist die erste von insgesamt 14 Beobachtungsnächten. Heute gibt es bis zum Mondaufgang fast fünf Stunden astronomische Nacht. Geplant ist mithilfe des Karkoschka den Südhimmel anhand der darin enthaltenen "S-Karten" visuell und mithilfe des Großfeldstechers 150 x 20 zu erkunden. Letzlich wurde es aber dann doch die ~SkySafari's Liste "Tonight's Best". Der Mond soll kurz nach 23 Uhr aufgehen. Die astronomische Dämmerung setzt hier allerdings schon gegen 18:30 Uhr ein, so dass genügend Zeit zum Beobachten bleibt.

Ich habe auch vor ein Pano des Nachthimmels zu erstellen. Das richtige Stativ dazu habe ich ja dabei. Und ich habe es getan! Es ist ein 270° Pano geworden. Es zeigt die Ansicht vom Ost- über Süd bis zum Westhorizont. Links auf halber Höhe ist der Aufgang des Gegenscheins zuerkennen. Aufnahmedaten sind: 24mm / f 1.8 mit 15 sec bei 6400 ASA von 18:43 - 19:15 Uhr. Nachbearbeitet wurde gar nichts.

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Wenn ich gewusst hätte wie wenig mir noch zum All-Sky fehlen würde, hätte ich noch den Rest gemacht.

Nach circa 5 Stunden Schlaf mit Pausen kommt langsam Euphorie auf. Der Wind rüttelt am kleinen Häuschen, in dem ich wohne. 
Kirsten meint, dass dieser Wind normal sei. Die Durchsicht ist nicht so gut, da wohl gestern Nordwind Wolken heran getragen hat. Klar ist es aber auf jeden Fall. Der Wind kommt jetzt aus Westen. Gegen 16:00 Uhr gibt es Kaffee und um 17:30 Uhr geht die Sonne unter. Gegen 18:30 Uhr beginnt dann schließlich die astronomische Dämmerung.

Es ist relativ warm schätze 16-18 °C. Windstill nach einem recht windigen Tag. Die Dämmerung setzt schnell ein. Transparenz ist gut, aber nicht sehr gut. Milchstraße ist von Horizont zu Horizont sichtbar. Sterne verschwinden allerdings knapp über dem Horizont. Ähnliche Bedingungen wie ich sie auch von guten Beobachtungsplätzen in Spanien her kenne. 

Ich habe für diese Nacht einen Großfeldstecher Fujinon 150 × 20 gemietet. Mit ihm will ich die mir unbekannte Milchstraße nach Südhimmel-Highlights durchstreifen. Die Dämmerung setzt unwahrscheinlich schnell ein. Während die Sonne unter und der Erdschatten aufgeht, bauen Reinhold und ich den Großfeldstecher auf.

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Erstes Beobachtungsobjekt ist die Große Magellansche Wolke (LMC). Sieht tatsächlich wie eine durchziehende kompakte Wolke aus. Knapp darunter ist die Kleine Magellansche Wolke (SMC) nur knapp über dem Horizont zu erkennen. Letztere hat auch eine NGC Nummer, nämlich 292.

''Große Magellansche Wolke - LMC'', 18:25 Uhr: Schon mit bloßem Auge einfach sichtbar. Länglich gegen 20:30 Uhr Nord-Süd orientiert. Im 10×50 zeigen sich schon deutlich Strukturen. Das Objekt ist viel zu groß für das Gesichtsfeld des Großfeldstechers. Es ist ein heller zentraler Balken zu sehen. Am Ende des Balkens ist recht auffällig ein Kugelsternhaufen sichtbar. Um die Große Magellansche Wolke tauchen weitere Einzelobjekte auf. Wirklich faszinierendes Objekt.

SQM-L zeigt im Zenit im Mittel 21.73 an. Hier ist es tatsächlich messbar dunkler als auf dem Roque in La Palma.

''NGC 292 - Die Kleine Magellansche Wolke, 18:35 Uhr:'' Bereits mit bloßem Auge gut zu erkennen. Deutlich schwächer als die Große Magellansche Wolke. 

Ich widme mich den 20 Minuten vor dem Abendessen einem Pano zur südlichen Milchstraße. Die astronomische Dämmerung hat ja bereits eingesetzt. Nach dem leckeren Abendessen geht es dann schnell wieder zurück zum Beobachtungsplatz. 

''NGC 2070 - Tarantel Nebel, 20:20 Uhr:'' Direkt neben dem Zentralgebiet der Großen Magellanschen Wolke zu sehen. Zunächst zeigt sich ein runder flächiger Nebel mit einem hellen Stern darin. Beim zweiten Blick zeigt sich der Nebel an den Rändern ausgefranzt. In seiner Mitte scheint er einen offenen Sternhaufen zu beherbergen. Bei längerer indirekter Beobachtung sind Arme am Rande des Nebels erkennbar. Diese sind recht filigran.

Der Wind hat interessanterweise wieder zugenommen. Er stört die Beobachtung jedoch nicht. 

''NGC 1786, 21:05 Uhr:'' Kugelsternhaufen am südlichen Ende der Großen Magellanschen Wolke. Im Feldstecher auffällig mit für KS typischen Zunahme der Helligkeit zum Zentrum hin.

''IC 2602 - Die Südlichen Plejaden, 21:15 Uhr:'' Die sogenannten "Südlichen Plejaden". Großer offener Sternhaufen bestehend aus weiß-blauen, hellen und unregelmäßig verstreuten Sternen. Südlich kleiner kompakter offener Sternhaufen bestehend aus schwachen Sternen. Erinnert ein wenig an das nördliche Pendant, und damit sind nicht die Plejaden gemeint, sondern M35 und NGC 2158.

''IC 2391 - Omicron Velorum, 21:35 Uhr:'' Schon mit bloßem Auge einfach als offener Sternhaufen erkennbar, da vereinzelt immer wieder schwache Sterne indirekt aufblitzen. Im Feldstecher zeigt sich ein großer offener Sternhaufen mit vielen farbigen Sternen. Von blauen bis roten Sternen ist alles vertreten. Form unregelmäßig.

''Collinder 135, 21:45 Uhr:'' Unscheinbarer offener Sternhaufen. Im Feldstecher wenige aber helle Sterne zu erkennen. Schöner heller Doppelstern im Haufen erkennbar.

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''Ahadi - Pi Puppis, Doppelstern in Collinder 135, 21:47 Uhr:'' Schöner heller Doppelstern. Ideal für den Feldstecher. Eine Komponente Orange und hell. Schwächere Komponente blau. Bilden ein schönes Paar.

''NGC 3372, Eta Carinae Nebel, 21:50 Uhr:'' Absolutes Highlight dieser Nacht! Heller schon mit bloßem Auge erkennbarer Nebel. Im Großfeldstecher das komplette Gesichtsfeld füllend. Der Nebel ist stark zerklüftet und sehr hell. Steht in mitten der reichen Milchstraße. Hellster Nebelteil oval. Dieser erinnert mich ein wenig an M8.

''NGC 3293 - Gem Cluster, 21:55 Uhr:'' Sehr schöner offener Sternhaufen. Besteht aus vielen schwachen aber farbigen Sternen. Form rundlich. Enthält schwächere Sterne, zumeist Bläuliche. Südwestlich hellerer rötlicher Stern.

So jetzt beschäftige ich mich mit dem Kreuz des Südens. Es ist tatsächlich ein auffälliges Sternbild, dass in mitten der reichen Milchstraße liegt. Grenzt unmittelbar an den berühmten Dunkelnebel, dem ''Kohlensack''.

''Beta Cruxis - Doppelstern, 22:05 Uhr:'' Sehr schöner Doppelstern. Helle Komponente weiß bläulich. Dunklere Komponente viel schwächer und orangefarben.

''Alpha Cruxis - Acrux - Doppelstern, 22:20 Uhr:'' Sehr heller Doppelstern. Beide Komponenten leuchten weiß  und sind sehr hell. Südlich befindet sich Dunkelnebel. Kannst direkt an den Kohlensack.

''NGC 4755 - "Das Schmuckkästchen", 22:25 Uhr:'' Unregelmäßiger offener Sternhaufen. Eine Vielzahl von schwachen bis helleren Sternen mit unterschiedlichsten Farben. Hellste Komponenten bilden ein rechtwinkliges Dreieck.

''"Kohlensack - Caldwell 99", 22:30 Uhr:'' Auffälliger mit bloßem Auge sichtbarer Dunkelnebel. Oval mit schwächeren Stern abseits der Mitte. Alpha Cruxis grenzt unmittelbar an den Dunkelnebel. Im Feldstecher zeigt sich ein unregelmäßiger, strukturierter Dunkelnebel, der durch helleren Streifen geteilt wird. 

''NGC 5822, 22:50 Uhr:'' Relativ unscheinbarer offener und lockerer Sternhaufen. Genaue Form unklar. Besteht hauptsächlich aus schwachen Sternen. Liegt etwas mehr als 1° südlich eines recht hellen Doppelsterns. Der Doppelstern ist Zeta Lupi.

''Zeta Lupi, Doppelstern, 22:55 Uhr:'' Doppelstern bestehend aus heller gelblichen und deutlich schwächeren, bläulicheren Komponente.

''NGC 6231, 23 Uhr:'' Heller unregelmäßiger bzw. länglicher offener Sternhaufen mit vielen weißen Sternen unterschiedlicher Helligkeit.

Kurz zuvor mit dem SQM-L folgende Werte gemessen: 21.53 und +5 °C. Der Mond ist im Anmarsch. Der Osthorizont ist bereits etwas aufgehellt.

''NGC 3114, 23:25 Uhr:'' Schwächerer großer offener Sternhaufen bestehend aus hauptsächlich schwächeren Sternen. Form dreieckig bis oval. Zwei helle Sterne abseits des Zentrums treten auffällig hervor. 

Die Milchstraße ist trotz Mondaufgang immer noch recht gut zu erkennen. Der Mond geht blutrot auf. Der Terminator ist exakt parallel zur Horizontlinie. Wenig später, als der Mond an Höhe gewinnt, wird es deutlich heller.

''47 Tucanae, 23:40 Uhr:'' Immer noch ungünstige Position am Himmel. Bei zwanzigfach zeigt sich ein recht heller Nebelball mit den für Kugelsternhaufen typischen Helligkeitszunahme zum Zentrum hin. Keine Einzelsterne zu erkennen.

Von den beiden Magellansche Wolken ist mit bloßem Auge nichts mehr auszumachen. Sie stehen unmittelbar über dem Horizont und der Mond tut ein übriges, um den Himmel aufzuhellen und die Wolken verschwinden zu lassen. Die Magellanschen, versteht sich :)

''NGC 292 - die Kleine Magellansche Wolke, 23:45 Uhr:'' Bereits mit bloßem Auge gut zu erkennen. Zum Beobachtungszeitpunkt nicht mehr zu erkennen, da Mond bereits aufgegangen ist. Zuvor lediglich mit bloßem Auge beobachtet und längliche Form wahrgenommen. Im Feldstecher zeigt sich nördlich 47 Tucanae.

''Omega Centauri, 23:50 Uhr:'' Ovaler heller Kugelsternhaufen. Bereits mit bloßem Auge als verwaschener Stern erkennbar. Bei zwanzigfacher Vergrößerung im Großfeldstecher bis ins Zentrum hinein aufgelöst. Nahe des Zentrums sind einige ''Löcher'' erkennbar.

''NGC 362, 23:55 Uhr:'' Rückschwenk zum Horizont. Steht ungünstig am Himmel. Trotzdem ist ein runder schwacher Nebelball erkennbar. Deutlich schwächer als 47 Tucanae. Keine Einzelsterne.

So, jetzt bin ich doch ganz schön müde. Der Mond hat den Himmel jetzt deutlich erhellt. Nach zwei lässigen Bier in der Unterkunft, gehe ich schließlich ins Bett.

Der Feldstecher war im Vergleich zu meinem 10×50 tatsächlich der Hammer. Aber leider ist dies ein Geradsichtgerät und so gestaltet sich die Beobachtung im zenitnahen Objekten sehr schwierig. So kann ich nicht aufgrund des straffen Beobachtungsplans, sondern eher aufgrund der unbequemen Sitzposition die Objekte in der Regel nur kurz in Augenschein nehmen.

[[Weiter zur nächsten Nacht>>|11. Mai 2015 Tivoli]] 

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Ich mache heute einen Ausflug zum „Hafen“ von Santo Domingo. Santo Domingo ist ein „Kaff“ im Norden La Palmas. Und ich bin schwer beeindruckt: Wasser ist klar und der Strand so gut wie leer. Abstieg und Wiederaufstieg vom Parkplatz aus aber recht mühsam. Die Rumkraxelei dauert länger als gedacht und deshalb habe ich an den Unterarmen am Ende einen leichten Sonnenbrand, denn die Arme halten die Kamera während ich Fotos schieße.

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/CpN1A1"><img src="https://live.staticflickr.com/65535/50329821231_c2009d3b32_k.jpg"></a>Am 25 Zoll Leichtbaudobson, der zu dem sehr kurzbrennweitig ist. f.3.15! Mit Komakorrektor f3.62. </div>

!25 Zoll...es geht los...

Am Nachmittag steigen die Temperaturen wieder auf über 30° C an. Ich ziehe mich zurück und döse. Dann meldet sich Kai und schlägt vor in das Bistro „Camu Camu“ in Las Tricias zu gehen. Wir essen und trinken und reden dort. Als wir zurückkommen, bauen wir den 25 Zöller auf. Ich werde ihn diese Nacht nutzen und bin von dem Gerät insgesamt sehr angetan. Kai und ich bauen ihn zusammen und anschließend wird mit meinem Laser justiert. Das Gerät ist insgesamt etwas schwergängig, bewegt sich aber trotzdem gut. Insgesamt wirkt es so, dass es auch alleine von einer Person zusammengebaut werden kann. Es hält auch mein Lieblingsokular, dass ES 9mm 120°. 

!Seeing ist gut...

Leider ist die Nacht wie vorhergesagt. Es ziehen hohe Wolken durch und die Transparenz ist wirklich mies. Ich sehe mich mit dem Gerät erst mal ein und dann ist auch Kai wieder da. Wir beobachten zunächst M13, der total schwach durch die hohen Wolken schimmert. Dann Jupiter und Saturn. Bei Jupiter sind bei ca. 255 fach feinste Strukturen in den Wolkenbändern erkennbar, 420 fach sind aber dann doch zuviel. Das Seeing ist ganz gut, trotz des Windes. Anschließend halten wir auf den Zirrusnebel. Weiter geht’s mit M11, M57 und dem Zentralstern, der immer wieder leicht zu sehen ist und aufblitzt, und einem grandiosen Hantelnebel. Wir düsen zu Albireo und wieder zurück zum Zirrusnebel. Kai misst mit dem SQM-L 21.8. Nicht schlecht. So beobachten wir bis zum Mondaufgang um 02:00 Uhr. Anschließend geht es ins Bett, aber Mars haben wir vergessen zu schauen! Unfassbar.

Der 25 Zöller gefällt mir sehr gut. Sehr kompakt und trotzdem mit großer Öffnung. Nach einem Absacker komme ich gegen drei Uhr ins Bett. Ab morgen sollen die hohen Temperaturen zurückgehen. Na endlich!

[[<<Zurück zur vorangegangenen Nacht|9. September 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|12. September 2020 - La Palma]] 

Der Himmel ist weiterhin seifig. Die Hoffnung stirbt zuletzt, dass das Seeing doch noch mal besser wird. Die Vorhersage sagt, es müsste eigentlich exzellent sein. Wie auch immer, wenn es heute nicht besser ist, lasse ich morgen die Nacht sausen. Morgen soll es zumindest auch noch mal gut werden, wenngleich nach Mitternacht, hohe Bewölkung durchziehen wird. Am Donnerstag geht es denn laut Wettervorhersage weiter. Voraussichtlich zwei Nächte und dann ist der Ofen aus.

Am Beobachtungsplatz ist heute niemand außer mir. Ich warte noch auf Mathias. Er wird gegen zehn Uhr eintreffen. Ich breche recht früh auf, und natürlich kommt ein Fahrzeug vorbei, und ein junger Mann lugt raus und fragt mich, ob ich hier kampieren wolle. Ich erkläre, dass ich Sterne gucken wolle, und er meint, dass ich hier genau richtig sei und meint damit allerdings nicht den Platz, sondern die Rhön. Ich entgegnete, dass ich das weiß und erläutere, dass dieser Parkplatz dafür geeignet ist, während andere Plätze illegal sind und es Riesenärger gibt, wenn man da erwischt wird. Da lacht er und nickt bestätigend.

So wie gestern leichter Wind aus Nord. Am Donnerstag soll der Wind mächtig zulegen und in der Spitze und 25 km/h wehen. Das wäre natürlich schon unangenehm. Aber was soll’s. Heute geht ein bisschen Wind, aber nicht so viel. Auch bleibt alles recht trocken, nur die Frontscheibe setzt ein wenig Tau an.

Zuerst geht es noch mal in die südliche Milchstraße. Ich stelle M 24 ein und lande bei NGC 6603. Wie Diamanten, die kreisrund verstreut wurden, erscheint der Offene Sternhaufen. Mathias will auch schauen, verreißt aber das Teleskop und  das Ding ist weg. Als ich es erneut positionieren möchte, fällt mir was besseres „vor die Füße“: M 17 oder der Schwanennebel. Schon ohne Filter sehr beeindruckend, selbst bei der geringen Höhe ist die faserige Struktur eindeutig erkennbar. Mit [OIII] dann spektakulär, was selbst Mathias zugeben muss. Dann M 16 und auch hier sind zwei Finger der Säulen der Schöpfung direkt mit Filter sichtbar. Dann geht es noch mal zu M 13, und ich versuche die Zeichnung zu finalisieren beziehungsweise die Skizze hierzu.

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Die Bedingungen bleiben durchschnittlich. SQM-L Werte liegen bei 21.3. Eigentlich keine besonders gute Nacht.

 
![[M15]]

Gestern bereits beobachtet zusammen mit dem Fernglaskollegen waren wir mächtig am staunen. Insbesondere der Zentralbereich und die Dichte des KS haben uns beide beeindruckt.

![[NGC 5981/2/5 - Draco Triplett]]

Einfach aufzufinden. Kann bis auf 231x vergrößert werden und dann erscheinen in einem Gesichtsfeld vier Galaxien. Tatsächlich gehören aber zur Gruppe nur drei. Diese drei Galaxien sind relativ hell und zeigen sich sehr unterschiedlich. Am hellsten ist mittig NGC 5982 zu erkennen, mit sternartigem Zentrum und hellem Kernbereich, der recht gut gegenüber den schwächeren Außenbereichen abgetrennt ist. NGC 5985 ist eine Spiralgalaxie, die hier wie eine Balkenspirale aussieht und zwei Spiralarme zeigt, sowie einen weiteren Bogen im Randbereich. Bei NGC 5081 handelt es sich um eine nadelförmige Galaxie mit helleren, längeren inneren Bereich, die indirekt ein sternförmiges Zentrum zeigt.

Weiter geht es mit NGC 891. Die Galaxie zeigt sich bei 231x sehr schön und das die Galaxie teilende Staubwand ist gut erkennbar. Weiter geht es zur NGC 7331 Gruppe bzw. Deer Lick Group. Es ist ein Vorschlag von Mathias und es zeigen sich neben der hellen Galaxie NGC 7331 weitere vier kleinere und zum Teil unterschiedlich helle Galaxien. Im 21 Zöller beeindruckend wie zuvor auch das Draco Triplet.

Eines der letzten Objekte ist M 33. Ich kann die Galaxie direkt über den Telrad einstellen, denn sie ist mit bloßem Auge schwach erkennbar. Und was ich sehe, ist wirklich atemberaubend und dies bei Minimalvergrößerung.

[[<< Zurück zur letzten Nacht|9. September 2023 - Lange Rhön]] | [[Weiter zur nächsten Nacht >>|14. September 2023 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6z3xk5" title="Kahler Baum"><img src="https://live.staticflickr.com/65535/49764151106_a48abf0acb_k.jpg" alt="Kahler Baum"></a>

Die Coronakrise ist auf dem Höhepunkt. So denkt man zumindest. Das Land liegt brach. Das Wetter ist schön, die Transparenz top. Zwar ziehen heute Nacht ein paar Zirren durch, aber das ist egal.

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Ich breche rechtzeitig auf, denn ich möchte einen ebenfalls lange nicht mehr besuchten Beobachtungsplatz aufsuchen. Mit dabei ist heute mein Sohn. Die Nächte sind ja im Frühling relativ kurz. Und zu Ostern stört in der Regel der Mond. Dieses Jahr aber nicht so stark. Er soll morgen früh erst gegen 0:45 Uhr aufgehen. So bleiben insgesamt drei Stunden für eine Beobachtungsnacht. Ich fokussiere mich wie beim letzten Mal auf ein Objekt. Heute ist es [[NGC 4236]]. 

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Transparenz ist unschlagbar gut. Nur leichte Zirren ziehen von Norden her kommend immer wieder durch. Hinzu kommt, dass die wenigen Flugzeuge, die noch unterwegs sind, fette, aber sehr gut definierte Kondensstreifen an den Himmel malen. Das bleibt offenbar auch die Nacht über so.

Auf der Autobahn kurz vor Fulda sah der Himmel nicht gut aus. Der DWD sagt aber klaren Himmel vorher. 7timer auch und zeigte seit Tagen „zwei Balken“ für nahezu beste Transparenz an. Der Erdschatten ist phänomenal. Erinnere mich nicht ihn hier schon mal so gesehen zu haben. Krass!

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2349V9" title="Venus, Orion &amp; Plejaden"><img src="https://live.staticflickr.com/65535/49927677986_97f485cd6b_k.jpg" alt="Venus, Orion &amp; Plejaden"></a>Die Dämmerung ist noch nicht abgeschlossen. Venus steht hell am Abendhimmel. Der Orion geht schon bald unter. Betelgeuze hat wohl auch ihre Schwächephase überwunden. 👍</div>

Der Platz ist schnell gefunden. Hatte zunächst Bedenken, ihn nach so langer Zeit nicht mehr zu finden. Wir genießen den Sonnenuntergang und schießen Fotos. Traumhaft! Mein Sohn ist begeistert. Eine Radfahrerin kommt vorbei und fragt uns was wir denn tuen werden. Sterne 🤩 gucken! Sie ist gut informiert und weiß, dass wir im Sternpark sind.

Dann beginnen wir mit dem Aufbau der Kameras und einem kleinen Refraktor, der zusammen mit einem 40 mm Okular ein weites Feld zulässt. Erstes Objekt ist die Venus, die selbst im kleinen Teleskop bei zwölffacher Vergrößerung schon Sichelgestalt zeigt. Weiter geht’s zu den Plejaden, dann zu Hi und Chi Perseii, M42. Schließlich surft mein Sohn alleine mit dem Gerät.

Echt schön wieder hier zu sein. Normalerweise muss man hier auch nachts mit Durchgangsverkehr rechnen. Die Corona Krise sorgt aber dafür, dass hier niemand vorbeikommt. Zum Glück. Mein Sohn und ich genießen den Himmel. Ich auf jeden Fall. Ich hoffe er auch. Er beobachtet zunächst mit dem halben Feldstecher. Heute ist eine ideale Nacht für ihn. Der Mond geht früh auf und er muss nur bis circa Mitternacht durchhalten. Das sollte doch gehen oder? Tut es.

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/20dvMq" title="Sternenhimmel über der Rhön mit Lichtbrücke"><img src="https://live.staticflickr.com/65535/49928019162_759260ca5e_h.jpg" alt="Sternenhimmel über der Rhön mit Lichtbrücke"></a>Eine langbelichtete Aufnahme des Himmels. Süden ist unten und Norden ist oben. Im Norden liegt die Milchstraße. Im Süden kriecht der Gegenschein entlang (links oberhalb vom Sternbild Rabe, der gerade kulminiert) und es ist sogar die Lichtbrücke schwach erkennbar.</div>

Kurz nach Einbruch der astronomischen Dämmerung taucht doch noch ein Auto auf. Es kommt langsam auf uns zu und plötzlich schaltet es das Licht aus. Ein Astronom! Ich dachte, ich würde diesen Platz exklusiv kennen. Tja, so kann man sich irren. Der Kollege entschließt sich eine Kurve weiter vorne aufzubauen. Er benötige ja Weißlicht, um den Aufbau zu stemmen, wie er erklärt.

!!Es ist erstaunlich kalt und feucht 

Die Temperaturen fallen nach Sonnenuntergang relativ schnell auf +4 °C. Nach Mitternacht sind wir dann schon bei leichtem Frost angelangt. Die Luftfeuchtigkeit liegt praktisch die ganze Zeit knapp unter 80 %. Interessant ist der Vergleich mit der Wasserkuppe: dort werden die ganze Nacht über +7.5° C gemessen und eine Luftfeuchtigkeit um 50 %. Fernsicht ist top mit 50 km. Schon erstaunlich, dass es hier um 7-8 °C kälter ist. Das mit der Luftfeuchtigkeit ist erklärbar, denn offenbar ist ein kleiner Bach oder eine Quelle in der Nähe. Des Öfteren ist ein leises Plätschern zu hören.

Die Nacht verstreicht wie im Fluge. Kurz vor Mitternacht ist es dem Sohnemann dann doch zu kalt. Er verschwindet im Auto und kurze Zeit später schläft er. Recht hat er.

<<<

Ich konzentriere mich auf [[NGC 4236]]: lang gestreckte, diffuse Galaxie. Im Galaxienkörper liegen einige schwache Sterne und auch außerhalb. Insgesamt schwierig zu beobachten, da nur schwach und kaum vom Himmelshintergrund  zu trennen. Am nördlichen Ende befinden sich zwei Knoten, einer davon größer und U-förmig mit aufblitzendem sternförmigem Knoten. Am gegenüberliegenden Ende, d.h. südlichen Ende sind insgesamt drei Knoten erkennbar. Der in der Mitte ist eindeutig am hellsten und blitzt immer wieder sternartig auf. Südlich zeigt die Galaxie auch ein leicht versetztes, diffuses Ende, dass auf eine Sterngruppe zuläuft und kurz vor dieser noch mal heller wird. Nördliches Ende ebenfalls diffus auslaufend aber nicht versetzt. Vom Zentrum aus in westlicher Richtung diffuse Abgänge. Schwer auszumachen wie lang und wie stark. Im Feld ist schwach eine Galaxie auszumachen. Manchmal scheint es als habe sie ein sternartiges Zentrum. Bei geduldiger Beobachtung erkenne ich aber, dass es sich dabei um einen in der Nähe befindlichen Feldstern handelt. Das Seeing ist schlecht. Die Feldsterne daher schon schwierig zu erkennen. Beobachtung mit 65, 114 & 178 fach. Ich versuche adhoc bei 65x und 178x eine kurze Beobachtung mit einem UHC-Filter. Vielleicht sind die Knoten in der Galaxie ja HII–Regionen? Anstatt heller zu leuchten, verschwinden sie.

<<<

!!Ich verfluche [[NGC 4236]]

Zu Beginn der Beobachtung von NGC 4236 verfluche ich die Galaxie. Hatte sowas wie M51 erwartet. Ist aber deutlich schwieriger und deutlich schwächer. Aber ich kann nicht wechseln. Ich habe einfach zu viel Zeit im Vorfeld investiert. Erst nach einer Weile und mit Geduld und der notwendigen Dunkeladaption gibt die Galaxie ihre Geheimnisse preis. 

Die drei Stunden vergehen wie im Flug. Ich renne zwischen lang belichteten All Sky Aufnahmen und dem Teleskop hin und her.

!!SQM-L Werte um 21.8 gegen Mitternacht 

Die SQM-L Werte liegen um 21.7 und mausern sich bis kurz nach Mitternacht auf 21.8. Selbst als der Mond aufgeht kann ich noch Werte um 21.5 im Zenit messen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/70c79J" title="Mondaufgang in der Rhön"><img src="https://live.staticflickr.com/65535/49764151456_761a51c187_k.jpg" alt="Mondaufgang in der Rhön"></a>

Am Ende taucht der Kollege noch mal auf. Verabschiedet sich. Er sei vier bis maximal fünfmal im Jahr hier. Nur wenn die Bedingungen ausgesprochen gut seien. Nun denn. Um zwei Uhr ist der Mond 🌓 schon längst aufgegangen. Neben dem kahlen Baum sieht er richtig fotogen aus.

Heute ist die Autobahn total leer. Hab ich noch nie so gesehen. Vor Fulda nehme ich „voller Freude“ noch mal ein Blitzer mit. Schön rot!

[[<< Zurück zur vorangegangenen Nacht|24. März 2020 - Coronanacht in der Langen Rhön]] | [[Weiter zur nächsten Nacht >>|19. April 2020 - Thüringer Hütte]] 

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![[NGC 6781]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 6781}}

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Der Wespe habe ich fast verziehen :) Ich werde heute NGC 6781 versuchen zu zeichnen. Seeing soll bis auf den Jetstream gut sein. Mal sehen. Aus Andalusien gibt es schlechte Neuigkeiten. Im Hotel ist alles ausgebucht. Die Alternative im Nachbardorf an zwei Tagen auch. Eine Alternative ist gefragt.

Diesmal sind weitere Leute gekommen. Roberto und ich bleiben etwas abseits, da die Kollegen Fotos machen wollen. Nach dem Aufbau spendiere ich eine Dose Bier. Ich erkläre Roberto, dass wir vorgestern nicht IC 10, sondern IC 59 & 60 gesehen hatten. Ich hatte mich da mit den Objekten etwas vertan :) Heute haben wir mit Calima zu kämpfen. Der Himmel ist deutlich aufgehellt. Trotzdem erreicht das SQM-L am Morgen 21.48. Die Temperaturen fallen bis zwei Uhr morgens nicht unter 20 Grad Celsius. Das Seeing ist wieder hervorragend. Bin mit der Zeichnung von NGC 6781 praktisch die ganze Nacht beschäftigt. Am Ende stellen ich IC 10 ein. 

''IC 10, 03:30 Uhr:'' Bei großer AP und 56 facher Vergrößerung ist recht schnell ein ovaler, diffuser Nebel sichtbar. Sogar eine Helligkeitszunahme zum Zentrum hin. Selbst im 10 Zöller sehr zu erkennen. Einfach aufzufinden, da markante Sterngruppe in der Nähe.

Gegen 04:00 Uhr treffen schließlich Zirren von Westen her kommend ein. Wir bauen ab. Als wir abfahrtbereit sind, ist der Himmel wieder klar.

 [[Weiter zur nächsten Nacht >>|13. August 2015 - Bonilla]]

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Venus ist am Taghimmel mit bloßem Auge bereits sichtbar.
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Heute morgen beim kurzen Blick zum Himmel vor dem Schlafengehen zeigte Zirren die von Westen her im Anmarsch waren. 7timer hatte also wieder mal Recht. Nun gut. 

Bevor ich aber den Beobachtungsabend beginne, möchte ich auf eine Kuriosität hinweisen, die meinem Mitbeobachter, Stefan, aufgefallen ist. Er bemerkt kurz __vor__ Sonnenuntergang, dass die Venus bereits hoch im Westen mit bloßem Auge zu erkennen ist. Und das recht einfach. 

Tagsüber zog es zu und Nachts nach Dämmerungsbeginn war der Himmel milchig. Trotzdem erreicht das SQM-L noch gute Werte um 21.76. Das Seeing scheint auf den ersten Blick wieder sehr gut zu sein. Wieder ein Blick auf Jupiter offenbart, dass dies nicht so ist. Keine Katastrophe, aber die Details in den Wolkenbändern auf Jupiter sind bei 670 fach kaum zu erkennen.

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Am Teleskop kurz vor der Morgendämmerung.
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Ich versuche als erstes die Galaxie ESO 274-1 einzustellen. Die Galaxie ist im reichen Milchstraßenfeld nicht auszumachen, d.h. die genaue Position nur mit Kartenmaterial identifizierbar. Als sie dann gefunden ist, ist nichts zu sehen. Das Gesichtsfeld wird immer heller, da eine Zirruswolkenbank gerade durchzieht. Nach dem sie weg ist, wird die Galaxie einfach sichtbar. 

[[ESO 274-1]]: Bei 100 fach schwach im reichen Milchstraßenfeld auszumachen. Bei 178 fach besser zu erkennen. Es zeigt sich eine Superthin-Galaxie mit Achsverhältnis 1:15 ungefähr. Könnte auch mehr sein. Schöne Nadel mit Vordergrundstern nahe dem Zentrum. Sonst homogener Galaxienkörper, der trotzdem recht gut begrenzt wirkt.

Das SQM-L misst 21.91. Die Zirren sind erstmal weg. Ich bin verrückt, denn ich stelle wieder Objekte am Nordhimmel ein. Wieder mal NGC 6210.

[[NGC 6210]]: Am Anfang der übliche „Matsch“. Doch dann wird mit perfektem Seeing endlich die „Turtle“ sichtbar. Und das so einfach. Der Zentralstern ist auch zu sehen und kann direkt gehalten werden. Die Ansen sind mit indirekter Beobachtung, wenn man sich eingesehen hat, recht leicht zu sehen. Schöner Abschluss zu diesem Objekt. Seeing 1.

Jetzt wird das Bild im Okular dunkler und ich gehe in meine Hütte, um mir einen Tee reinzupfeifen. Ab drei Uhr soll es dann komplett zuziehen. Morgen Nacht dann klar. Übermorgen wieder halbe Nacht bewölkt. Jetzt ist es doch klar. Also wieder raus.

[[NGC 6153]]: Ovaler, nord-südlich verlaufender Nebel, mit zwei helleren, gegenüberliegenden Kanten. Diese wirken z.T. gemottelt. Insgesamt können jeweils sechs bis acht Knoten verortet werden. Der Zentralstern ist nicht zu sehen. Im Norden und Süden läuft der Nebel diffus aus, am nördlichen Ende diffuse Ausbuchtung. Auf der östlichen Kante ist ein hellerer Knoten mit insgesamt vier stellaren Knoten zu erkennen. Seeing 1. 

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__Anmerkung:__ Auch hier zeigt sich wieder, dass die alten Pentax O & XP einem aktuellen Ethos 3.7 mehr als das Wasser reichen können. Einzig die winzigen Gesichtsfelder schränken sehr ein. 

Ich wende mich nochmal dem [[Grus-Quarttet]] zu. Möchte die Zeichnung finalsieren. Wir haben bisher Glück mit den Wolken. Diese ziehen lt. Satellitenbild im Norden und Süden vorbei. Mal sehen, ob dies so bleibt. Nach der heutigen Nacht verbleiben nur noch drei Nächte. Der Himmel wechselt von Top zu seifig hin und her. Wenn keine Zirren durchziehen hat er wieder 22.13 in Zenitnähe.

Nach dem Quartett ist die Luft raus. Ich mache noch ein paar Fotos und stelle mal wieder M42 ein. Dann den Hexenkopfnebel. Die SMC wird noch schnell abgefahren und schon wird es hell. Am Morgen sind es +4 °C. 

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Mars und der Gegenschein 

[[<<Zurück zur vorangegangenen Nacht|10. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|12. August 2018 - Tivoli Astrofarm]]

Am Nachmittag war ich noch mal mit zwei Kollegen oben auf dem Roque. Wir waren in verschiedenen Plätzen vor allen Dingen auf dem Observatoriumgelände.  

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Immer wieder schön an den MAGIC Teleskopen vorbeizukommen. Für neue Teleskope wird hier oben bereits gebaut und das Buschwerk gerodet.

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Anschließend geht es zum JKT, wo ich 2004 glaube ich, eine Beobachtungsnacht miterleben durfte. Links liegt eine Kuppel und rechts davon eine deutsche Montierung. Hat die vielleicht jemand dort vergessen? Und wann wird sie abgeholt? 🤣

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Oberhalb vom JKT gibt es einen schönen Mirador mit Blick in die Caldera.

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Anschließend schlage ich vor zum WHT zu fahren. Hier, habe ich unterhalb früher mit der Montierung gestanden und Astrofotografie gemacht.

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Mittlerweile neigt sich der Tag dem Ende zu und das grandiose Farbenspiel hier oben geht wieder los. Immer wieder sehr beeindruckend!

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Die Kontraste nehmen, ganz langsam ab und es ist immer wieder überraschend, wie hell es während der Dämmerung tatsächlich doch bleibt. Die Umgebung wird in ein aschfahles Licht getaucht.

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Der Höhepunkt war tatsächlich ganz oben und wir sind geblieben bis kurz vor Einbruch der Astronomischen Dämmerung. 

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Der Blick vom Gipfel runter ins Aridanetal.

Ich wollte in jedem Fall noch mal ein vom Foto vom GTC machen. Was ich gestern zwar auch geschafft habe. Allerdings musste ich das freihändig machen bei hoher ISO. Heute soll dies noch mal mit Stativ nachgeholt werden. Und wir sind da bereits zeitlich am Limit, denn als ein Kleinwagen neben uns hält, werden wir aufgefordert, das Gelände zu verlassen.

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Vierte Nacht. Letzte Nacht war teilweise bewölkt mit durchziehenden hohen Wolken. Man hätte tatsächlich hin und wieder für ein bis zwei Stunden beobachten können, aber das war mir zu stressig. Daher eine Nacht komplett durchgeschlafen. Was mir auch sehr gut tat. Heute stört der Mond gar nicht mehr und ich werde bis zur Dämmerung durchbeobachten. Eine Messung mit dem SQM: 21.4 ist ganz ok, denke ich.

![[NGC 253 - Sculptor-Galaxie]]

Bereits vor drei Tagen im Teleskop eingestellt gehabt. Heute möchte ich eine Zeichnung beginnen und bin am Ende damit fast 3 Stunden beschäftigt. Aber es lohnt sich. Zentrum und zentrumsnahe Bereiche sind hell und stark strukturiert. Und die Strukturen sind etwas schwächer werden, bis knapp vor den diffusen Enden sichtbar. Am schönsten erscheint die Galaxie bei 138x beziehungsweise 319x. Seeing 4.

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Kaffeepause in der Orangerie. Während ich diese Zeilen schreibe, beziehungsweise genau gesagt, diktiere, trinke ich einen Kaffee und schaue mir die reich strukturierte Milchstraße über mir an. Selbst das Zodiakallicht ist noch schwach zu erkennen. Auch kurios: vorhin noch Luftfeuchtigkeit von 72 % gemessen. Wenig später hatte sich über Puntagorda wieder eine kleine Wolke gebildet. Aber jetzt sind es wieder die üblichen 52 %. Temperatur recht angenehm etwas niedriger als die letzten Tage mit +12 °C.

![[NGC 1491]]

Eigentlich bin ich nach einem anderen Objekt ganz in der Nähe interessiert. Aber es gibt ein Problem mit der Sternkarte, denn das Objekt ist natürlich nicht in Sky Safari drin. Und als ich frustriert eine kurze Pause mache und wieder durchs Okular schaue, fällt mir ein recht heller Nebel vor die Füße. Es ist NGC 1491, den ich zwar schon mal mit 14 Zoll beobachtet habe, aber der mit 20 Zoll jetzt richtig gut aussieht. Deshalb wird er kurzum, auf die Beobachtungsliste gesetzt und auch eine Zeichnung begonnen. Im Kern zeigt sich ein recht ausgedehnter Nebel um einen 11 mag hellen Stern. Sichelförmig beziehungsweise gebogen mit einer scharfen Kante, direkt am Stern und einem diffusen Teil, der am Ende in zwei längere seilförmige Kanten, die sich schließlich treffen und dann im 90° Bogen wieder versuchen, den Stern zum umschließen. Insgesamt zeigt sich der Nebel auf einem Gebiet von etwa 180° um den Stern, d.h. umfassen ihn etwa hälftig. Probiere verschiedene Filter durch, insbesondere der [OIII] bringt ordentlich Kontrast. Allerdings entscheide ich mich gegen Filter, da ich den Eindruck habe, dass man zum einen genauso viel ohne Filter sieht und zum anderen einige Nebelgebiete, insbesondere direkt in Sternnähe mit Filter verschwinden zu scheinen. Sehr interessantes Objekt! 

!M 1 - Krebsnebel

Wir glotzen M 1, den Krebsnebel. Und im 20 Zöller wird bei Verwendung eines [OIII] sofort das Spinnennetz im Innern sichtbar. Das erkennen sogar die Astrofotografen.

![[NGC 3521]]

Erste Nachbeobachtung zu gestern. Es zeigt sich eine recht strukturierte Galaxie mit zwei Spiralarmen, die immer wieder durch Dunkelstellen unterbrochen werden. Galaxie selbst hat ein sternförmiges Zentrum an das sich ein diffuser, heller zentraler Teil anschließt und westlich ein Dunkelband. In der Nähe stehende Hintergrundgalaxien sind zum Teil recht schwierig, aber dennoch sicher beobachtbar.

![[NGC 2261 - Hubble's Veränderlicher Nebel]]

Ebenfalls ein Klassiker: „Hubble's Veränderlicher Nebel“. Schon bei Übersichtsvergrößerung sehr hell. Kann bis auf 351x vergrößert werden und dabei ist der Nebel immer noch hell. Von einem recht hellen Stern geht eine kometenartige und strukturierte Nebelfahne ab. Im Nebel selbst sind hellere Gebiete erkennbar, sowie eine Dunkelstelle. Der Rand ausgehend vom hellen Stern ist sehr hell und relativ gut abgegrenzt. Weiter nach Norden verlaufend, schwächt er sich allerdings ab. Seeing 3.

![[NGC 4173 - The Box|HCG 61 - The Box]]

Wunderbares Galaxien-Quartett. NGC 4175 zeigt keine Strukturen, jedoch eine Helligkeitszunahme zum Zentrum hin, sowie als einzige ein sternartiges Zentrum. NGC 4169 ist hingegen die hellste, mit hellem ovalen, aber nicht sternartigen Zentrum. Die vierte ist NGC 4173, die am schwächsten ist und eine kleine nadelförmige Galaxie ist ohne irgendwelche Strukturen oder Helligkeitsunterschiede. Es lohnt sich in jedem Fall hier auch höher zu vergrößern, in meinem Fall 351x.

Der Himmel wird wieder besser, und das SQM erreicht mittlerweile Werte um 21.56.

Ich lasse die Nacht noch mit einem kurzen Frühstück ausklingen. Wieder wunderbare Stimmung. Überall krähen die Hähne und ich sitze hier auf der Terrasse bei einem Glas Wein. Gleich hole ich noch das im Ofen aufgebackene Brot zusammen mit Olivenöl…

[[<< Zurück zur letzten Nacht|10. Dezember 2023 - Tagesausflug Roque]] | 
[[ Weiter zur nächsten Nacht >>|12. Dezember 2023 - Wassertank]]

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Wie zum Spott sind gegen Mittag Wolken aufgetaucht. Habe vermutlich gestern den Himmel zu früh gelobt. Auch als sie abgezogen sind, ist der Himmel seifig. Calima halt. Na ja, 7timer spendet Trost und sagt beste Transparenz ab 23 Uhr voraus.

Wind wieder aus Nord-West. Zum Glück lässt er zu Beginn der Dämmerung nach. So bin ich wieder an meinem Platz, obwohl ich mich hinter einer Bergkuppe postieren wollte, um nicht im Wind zu stehen. Weiß nicht ob das die richtige Entscheidung war, denn kaum habe ich aufgebaut, legt der Wind wieder zu. Aber 7timer meint, dass um 23:00 Uhr der Spuk vorbei sein soll.

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Erstes Objekt ist der Katzenaugennebel. Es zeigt sich ein ovaler Nebel, der sehr hell ist und in seiner Mitte einen Zentralstern beherbergt. Keine weiteren Strukturen im Inneren erkennbar. Nebelrand ist ein Ring, der im Inneren gefüllt ist. Jeweils Östlich und westlich abgehende Arme, wobei der Östliche deutlich besser erkennbar ist. Im Zenit werden 21.91 erreicht.

Das war quasi zum Aufwärmen. Aus dem Seeing werde ich nicht so richtig schlau. Jupiter ist heute ziemlich schlecht zu sehen, im Gegensatz zu gestern. Eigentlich können kaum Details wahrgenommen werden. Und das Beugungsbild am Polarstern gibt mir recht. Dennoch ist das Bild im Fokus nicht schlecht. Denn der Begleiter, der deutlich schwächer ist, ist einwandfrei und sehr scharf zu erkennen. Lediglich das schnelle tänzeln um eine Position herum, ist zu sehen. Beim Katzenaugennebel ist der Zentralstern die ganze Zeit ganz ruhig und ohne Probleme zu erkennen. Irgendwie seltsam. Wahrscheinlich liegt es aber einfach nur daran, dass sowohl der Polarstern (38 Grad über dem Horizont um genau zu sein), als auch Jupiter zu tief stehen.

Jetzt muss mal was beobachtet werden. Es geht los mit [[NGC 6572|NGC 6572 mit 14 Zoll]]: Zu sehen ist bei 65 fach ein sehr heller, grüner, sternförmiger Nebel. Versuche unterschiedliche Vergrößerungen: tausendfach, achthundertfach, 430 fach, wobei ich bei letzterem auch einen OIII-Filter verwende. Bei besser werdendem Seeing, kann ich auch bei hohen und höchsten Vergrößerungen von 800-1000 fach keine Struktur im hellen, leicht ovalen, Planetarischen Nebel erkennen. Am Nebelrand sind aber ganz schwache abgehende Arme erkennbar, die in einen schwachen diffusen Halo eingebettet sind. Die Arme sind am besten bei 800 fach erkennbar und zwar blickweise immer wieder. Also nichts, was man auf den ersten Blick erkennen kann. Bei 430 fach und OIII-Filter glaube ich blickweise immer wieder zwei helle, gegenüberliegende Nebelschalen auf dem Rand zu erkennen. Bleibt aber insgesamt unsicher, deshalb auch negativ gewertet. Ohne Filter zeigt sich dieser Eindruck nicht.

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In unmittelbarer Nähe steht [[NGC 6778]]: beim Aufsuchen mit 65 facher Vergrößerung kann man den PN gerade so von den Feldsternen zu unterscheiden. Ich starte direkt bei 800 fach. Es zeigt sich sehr schnell ein X. Bei geduldiger Beobachtung ist in der Mitte sogar der Zentralstern zu erkennen und kann über mehrere Sekunden gehalten werden. Insgesamt zeigen sich fünf Knoten, die zur X-Form beitragen. Bei 430 facher Vergrößerung wird dann schließlich auch noch der vertikal zur X-Form schwache Halo sichtbar. Im Prinzip sind alle Knoten und auch der Zentralstern schon ab 430 fach zu erkennen. In westlicher Richtung liegen zwei, in östlicher Richtung drei. Die in östlicher Richtung sind eher sternförmig, die in westlicher Richtung eher diffuser. Dies erkennt man daran, dass die auf den westlichen Rand liegenden - wie der ZS - sternförmig aufblitzen. Das ist bei den beiden östlichen Knoten nicht der Fall. Echtes Highlight!

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Mars zeigt sich wieder enttäuschend. Nichts definitives ist zu erkennen. Nur ein gelber strukturloser Planetenkörper. Nächstes Objekt ist NGC 6058. Steht mittlerweile nicht mehr so hoch.

''NGC 6058'': Zunächst zeigt sich ein runder Nebel um einen Stern. Ist schon bei 65 fach erkennbar. Bei 800 fach zeigt sich dann, dass er auf seinem Rand zwei hellere Kanten zeigt. OIII-Filter funktioniert nicht gut. UHC etwas besser aber auch nicht besonders. Bei 430 fach und auch schon bei 800 fach können auf einer Kante etwa zwei bis drei Knoten aufblitzend gesehen werden. 

''Henize 1-5'': Ewig gesucht und dann auch noch an der falschen Stelle geschaut und nichts gesehen. Als ich die richtige Stelle finde, hat die astronomische Dämmerung bereits eingesetzt. Dennoch kann ich mit OIII–Filter an der richtigen Stelle einen ganz schwachen Schimmer um einen Stern erkennen. Scheint nicht ganz symmetrisch zu sein, d.h. der Stern steht nicht im Mittelpunkt. Dies bleibt aber unklar, da es mittlerweile einfach zu hell wird. Nachschau notwendig.

Gut kalt geworden ist es auch. Es sind mittlerweile nur noch +5 °C. So kenne ich das hier. Im Winter über der Inversionsschicht sind es auch gut und gerne +3 °C. Aber die ganze Nacht, nicht nur am Morgen.

[[<<Zurück zur vorherigen Nacht|10. Juli 2018 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|12. Juli 2018 - Pinar de Araceli]]

Abends steht die Milchstraße noch hoch. Unten ist ein Aufnahme zu sehen, die eine Auskopplung aus dem Timelapse „[[Tivoli Night Sky (4K UHD)]]“ ist und am frühen Abend aufgenommen worden ist.

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Links sind die beiden Magellanschen Wolken zu erkennen. Rechts die sehr helle südliche Milchstraße mit der berühmten Eta-Carina Region. Das Foto zeigt schön den visuellen Eindruck, denn das Gras hebt ist nachts sehr gut erkennbar, aufgrund seines hellen Gelbs gut ab.

<div class="tc-link-info-item-medium" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/58rG8K" title="Untitled"><img src="https://live.staticflickr.com/65535/51302620878_f2b2a803c3_h.jpg"></a>Auf der Leiter beobachte ich HDW 12. Der Dobson läuft wieder sehr gut, nachdem er eine neue Bodenplatte erhalten hat. Danke Hubert!</div>

Heute Morgen sind zum ersten Mal Wolken aufgetaucht. Dabei handelt es sich um feine Zirren, die von Nordwesten hereinziehen. Absolut nicht störend, allerdings ist der Himmel heute etwas milchig. Leichter Wind. +12 °C und 42 % relative Licht Luftfeuchtigkeit. Das Seeing ist schlecht. Also ist heute „Genussspechteln“ angesagt. 

Ich lande schließlich beim „Running Chicken“ - Nebel aka ''IC 2948''. Heller Nebel schon bei Übersichtsvergrößerung, der auch auf Filter reagiert. Für das Gesichtsfeld bei 100x schon etwas zu groß. Passt nicht mehr ganz rein. Dennoch interessanter Nebel, mit eingebettetem offenen Sternhaufen.

[[Hartl-Dengel-Weinberger 12]]: Relativ einfach aufzufinden. Bei 125x und OIII zeigt sich erst mal nichts. Hin und wieder immer wieder ein Aufblitzen, dann bei geduldiger Beobachtung schließlich ein rundes Glimmen. Sehr schwer, da im Beobachtungsgebiet viele schwache Sterne stehen, die möglicherweise auch diesen Glow vortäuschen können. Insbesondere zeigt sich das Glimmen direkt um einen sehr schwachen Stern, der zudem auch mittig steht. Es kann jedoch mit ziemlicher Sicherheit ausgeschlossen werden, dass der Stern selbst dafür verantwortlich ist, da er einfach zu schwach ist und das Glimmen zu groß. Schätze die Ausdehnung auf etwa 1 Bogenminute. Unweit kann man die sehr schwache Galaxie PGC 3082829 (16.86 mag) erkennen.

Die Astrofotografen meinen, dass das Seeing bei 5 bis 6 Bogensekunden läge! Gegen 3:30 Uhr lässt der Wind plötzlich nach. Ich wechsle sofort ihr Okular um zu schauen, ob sich das hin beruhigt hat. Hat es! Doch es dauert nur wenige Minuten und der Wind nimmt wieder zu und das Seeing wird wieder schlechter.

Schließlich lässt der Wind doch langsam nach. Mein nächstes Objekt ist M4. Kann ich schon mit bloßem Auge direkt neben Antares erkennen. Leicht! 

Wird im Dobson direkt eingestellt. Kenne ich aber mittlerweile viel zu gut…mmhhmmm…ok. Ich stelle lose verschiedene Objekte ein.

Der „Kohlensack“ steht kurz vor dem Untergang. Immer wieder magisch 🧙‍♀️ Meist schaue ich nach Norden, wenn es passiert. Denn fast zeitgleich kulminiert der „nördliche Kohlensack“ gegenüber. Beide im Wechsel immer wieder anzuschauen ist noch magischer! 

Unten ist eine langbelichtete (120 sec) und nachgeführte Aufnahme mit dem neuen Samyang 12 mm AF zu sehen. Blende 2.8 liefert sehr gute Ergebnisse, insbesondere ist die Vignettierung kaum vorhanden. Bei Offenblende, d.h. f2, stören chromatische Abberationen und Koma doch sehr. Eine vielversprechende Alternative stellt das Tamron 11-20mm Zoom dar, jedoch hat es eine Offenblende von f2.8, was eine Blende weniger ist. Darüber hinaus ist es auch mehr als doppelt so teuer im Vergleich. Was jedoch einem ganzen Samyang Kram nervt ist die Tatsache, dass es häufig keine Profile für die Verarbeitung in Lightroom gibt. So kann man die Vignette nur über „Hilfskonstrukte“ entfernen. Vorbildlich ist hier einzig Sigma. Hier werden entsprechende Profile, die auch perfekt passen immer bereitgestellt. Bei Tamron gibt es auch Profile, die aber zum Teil nicht richtig passen und zu Überkorrekturen führen.

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Diese Nacht ist heute nichts für mich. Ich bin richtig fertig. Ich halte aber dennoch bis 6:00 Uhr durch, denn nebenbei fotografiere ich auch noch.

[[<<Zurück zur vorangegangenen Nacht|10. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|12. Juni 2021 - Tivoli Astrofarm]]

Am späten Nachmittag kommen weitere Sternfreunde auf der Farm an. So sind wir schließlich zum Kaffee fünf Personen mehr. Es handelt sich überwiegend um Deutsche, die hier alle Astrofotografie betreiben wollen. 

Heute beobachte ich das erste Mal mit dem Dobson. Nach dem Frühstück schaffen Reinhold und ich das Gerät zum Beobachtungsplatz. 
Kurz nach Sonnenuntergang geht es schließlich los. Zuerst möchte ich noch eine Aufnahme des sehr transparenten aufgehenden Erdschattens machen, komme aber dann zu spät in die Pötte und dann war er schon weg. Heute stehen noch fehlende Abell-PN auf dem Plan. Zunächst solche in der Wintermilchstraße, später dann in der Sommermilchstraße.

Vor dem Abendessen möchte ich noch schnell Abell 13 beobachten. Und es klappt tatsächlich.

''Abell 13, 18:45 Uhr:'' Es ist auf Anhieb nur der helle nordwestliche Teil als Sichel mit OIII-Filter sichtbar. Dieser Nebelteil kann auch indirekt leicht gehalten werden. Ich muss aufgrund des tiefen Standes und der Tatsache, dass es mittlerweile seit über 20 Minuten Abendessen gibt, leider abbrechen. Wird morgen noch mal wiederholt!

''Abell 26, 20:55 Uhr:'' Mit OIII-Filter wird ein kleiner runder, schwacher Nebel ohne Zentralstern sichtbar. Typischer Abell. Bei 180 fach kann er indirekt gerade so gehalten werden. Keine weiteren Strukturen erkennbar.

Das nächste Objekt ist wieder so eine ungeliebte Doppelbeobachtung. Hatte ich im März bereits auf La Palma beobachtet. Wie das Teil wieder hier reingerutscht ist...

''Abell 27, 21:50 Uhr:'' Bei 180 fach und OIII-Filter wird ein sehr schwacher, runder und recht kleiner Nebel ohne Zentralstern sichtbar. Keine weiteren Strukturen. Etwas schwieriger als der zuvor beobachtete Abell 26. Leider verschwindet der Nebel hinter den Tivoli Palmen, so dass die Zeichnung morgen noch mal verifiziert werden muss.

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![[Abell 27 mit 25 Zoll]]

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{{Abell 27 mit 25 Zoll}}

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![[Abell 40]]

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{{Abell 40}}

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Na ja, das mit dem Verifizieren war nix. Aus den Augen aus dem Sinn. Interessanter Vergleich mit der [[Zeichnung vom März 2015|Abell 27]].

Im Zenit mit dem SQM-L im Mittel 21.67 bei +4 °C gemessen. Der Skorpion steht fast im Zenit. Die bei uns am Horizont stehende Sommermilchstraße steht über meinem Kopf. Die Dunkelwolken zerteilen die helle Milchstraße. Sie erscheinen direkt neben den hellen Milchstraßenwolken visuell komplett schwarz. Erst bei einigem Winkelabstand wird die typische Himmelshintergrundhelligkeit wieder wahrnehmbar.

''Abell 40, 23:35 Uhr:'' Kleiner runder Nebel in der Nähe eines schwachen Sterns, der aber nur ohne Filter sichtbar ist. Der Nebel wird bei 180 fach und OIII-Filter sichtbar. Kann indirekt auch leicht gehalten werden.

Puh, das war ganz schön anstrengend. Abell 40 befindet sich fast im Zenit. Und die Kletterei auf der Leiter bringt mich ganz schön auf Trab. Muss kurzzeitig auch die Daunenjacke ausziehen, da ich vom Auf und Ab ins Schwitzen gekommen bin. Und das bei nur +4 °C. Aber heute ist es wieder super trocken, was man am Funkensprühen erkennen kann.

Der Mond ist mittlerweile wieder aufgegangen. Aber ich möchte noch etwas weiter beobachten, vielleicht ein paar helle Schaustücke des Südhimmels.

''Omega Centauri, 0:45 Uhr:'' Bei 100 fach im 25 Zöller zeigt sich Omega Centauri unbeschreiblich schön. Glotze das Teil einfach nur an! 

''NGC 4755 - "Das Schmuckkästchen", 0:05 Uhr:'' Nicht viel besser als gestern im Großfeldstecher. Im Haufen gibt es weniger als ein Dutzend helle Sterne unterschiedlicher Farbe. Viele weitere schwächere Sterne bilden einen schönen Hintergrund. Sterne sind in Ketten angeordnet. Die meisten Sterne sind weiß. Einer der hellsten Sterne hat eine rötliche Farbe. Von dem Dutzend hellster Sterne ist ca. die Hälfte im 10 x 50 Feldstecher erkennbar.

Zum Schluss gibt es noch mal Saturn.

''Saturn, 01:15 Uhr:'' Seeing ist absolute Spitze! Bei maximaler Vergrößerung, d.h. 675 fach zeigt sich Saturn sehr ruhig. Viele Ringdetails sind sichtbar und auch Strukturen in den Wolkenbändern sind zu erkennen. 

Bis ich alles zusammen gepackt habe und im Bett bin, ist es mittlerweile 3:00 Uhr in der Früh. 

Die Beobachtung mit dem Riesendobson macht richtig Spaß. Allerdings das Herumklettern auf der Leiter gefällt mir nicht so gut. Das Agro Navis habe ich am Ende nicht benutzt.

[[Weiter zur nächsten Nacht>>|12. Mai 2015 Tivoli]] 

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![[IC 10]]

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{{IC 10}}

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{{NGC 6888}}

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{{WR 134}}

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<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/22085005016/in/datetaken/" title="Autumn in Rhön. Beautiful landscape close to Fladungen."><img src="https://farm6.staticflickr.com/5769/22085005016_5df45ed16f_h.jpg" alt="Autumn in Rhön. Beautiful landscape close to Fladungen."></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Schon die Autofahrt durch die sonnigen und bunten Hügel der Rhön war spektakulär. Zwar war die Fernsicht nicht so gut, aber die Nacht sollte dafür der Knaller werden.

Neun Stunden astronomische Nacht und das bei vorhergesagtem absolut klarem Himmel. Mehr kann man sich kaum wünschen. Auf der Liste stehen wenige Objekte: NGC 6888, WR 134, IC 10, IC 59 & 60. Ich habe die Sternfelder vorgezeichnet. Dazu habe ich die Sternkarten aus ~SkySafari am Bildschirm "durchgepaust". Hatte dies auch für [[IC 10]] gemacht, aber dort ist prognostizierte Vergrößerung zu klein. So richtig zufrieden bin ich mit der Methode nicht. Sie spart aber viel lästiges Sterne zeichnen.

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Ich habe es zunächst bis in den prognostizierten 1.5 h von Frankfurt aus in die Rhön geschafft. Kurz ein Blick am alten Platz, um die Lage mit dem Wind zu checken. Böig und ungemütlich. Vorhergesagt sin 4-5 bft. Das ist schon was. Bin zunächst in der Sennhütte mit [[Uwe|http://www.deepsky-visuell.de]] verabredet. Am Ende sitzen wir zu viert, alles Sternfreunde, die die Aussicht auf eine klare Nacht eint. Horia ist auch dabei. Ihn kenne ich seit vielen Jahren aus Laufenselden.

Schwanke noch zwischen mitfahren, um einen neuen Beobachtungsplatz zu entdecken und "einfach am alten Platz bleiben". Entschließe mich, mich Uwe anzuschließen. Ich sollte es nicht bereuen. Als es schon recht dunkel ist, brechen Uwe und ich auf. Es ging in 15 min auf die Wasserkuppe. Abseits der hell beleuchteten Gebäude gibt es ein ruhiges Plätzchen, wo wir auch vor dem heftigen Wind aus Osten geschützt sind. Hier ist der Wind kein Problem.

Die Temperaturen liegen um +1° Celsius und werden bis zum Morgen auf -1° Celsius leicht fallen. Luftfeuchtigkeit liegt um die 70%. Ich habe meine komplette Winterausrüstung bestehend aus Daunenunterhose und Jacke, sowie meinen Sorel Stiefeln dabei. Ich werde darüber sehr glücklich sein. Der Wind jagt durch den angrenzenden Wald und um die Ecken des Gebäudes, wo wir Schutz suchen. Praktisch aber stört er nicht. Und am Morgen lässt er spürbar nach.

Beim Aufbau habe ich etwas Trouble. Die Batterien meiner Kopflampe sind schon etwas leer. In der Nacht erklärt sich auch warum. Sie schaltet sich selbst ein. Wahrscheinlich ist der Einschaltknopf hinüber.

Dann klappt die Kolli nicht. Die Stangen waren nicht richtig versenkt. Schrauben lockern. Festziehen. Jetzt gehts. Kurz vor neun Uhr bin ich bereit. Uwe ist schon bei der Sache. Transparenz ist trotz zuvor diesiger Sicht sehr gut. Das SQM-L zeigt Werte um 21.25 in Zenitnähe an. Bis zum Horizont sind schwache Sterne zu erkennen.

Ich beginne mit NGC 6888. 

''Crescent Nebula - [[NGC 6888]]:'' Riesiger, ovaler Nebel. Reagiert gut auf OIII. Auf UHC aber auch. Helle Nebelkante nordwestlich sowie nordöstlich bogenförmiger, diffuser Nebelteil. Südwestlicher Teil deutlich schwächer, aber mit hellerem Nebelknoten. Beste Vergrößerung bei 114 fach.

Das Seeing ist zunächst gut. Dann bricht es aber massiv ein. Gegen Ende der Nacht ist es dann wieder gut.

Weiter ging es dann mit WR 134, einem Nebel um einen Wolf-Rayet Stern, der mit OIII hervorragend zu erkennen ist.

[[WR 134]]: Sehr großer, diffuser Nebel. Teil eines runden Wolf-Rayet Sterns. Liegt westlich des Sterns und ist am besten bei maximaler AP und OIII zu erkennen. Form des hellsten Nebelteils oval. Abgehende Fahne nördlich, die nach Nordosten diffus ausläuft.

Uwe schlägt vor einen Weg aus dem geschützten Wald zu gehen, um eine bessere Rundumsicht zu haben. Sie sei beeindruckend. Und in der Tat, das ist sie!

Wir babbeln die Nacht hin und wieder und ggf. schauen wir uns auch gemeinsam ein paar Objekt an. So z.B. Abell 61. Im acht Zöller von Uwe ein recht leichtes Objekt. Wir sind verblüfft.

Gegen vier hat Uwe zusammengepackt und wir verabschieden uns. Mittlerweile ist das Zodiakallicht und die Lichtbrücke zu erkennen. Der Gegenschein in den Fischen ist leicht zu sehen. Uff!

Ich mache weiter und widme mich IC 10, sowie IC 59 & 60.

''IC 10:'' Unregelmäßige, etwa leicht trapezförmige nördlich orientierte Galaxie. Südlicher Teil heller und nach Norden verjüngend und diffus auslaufend. Südlich direkt neben schwachen, eingebetteten Stern kleiner hellerer Knoten. Weiterer hellerer Stern nordöstlich, der offenbar auch ein Vordergrundstern ist.
Galaxie verträgt auch höhere Vergrößerungen bis etwa 168 und sogar 290 fach.

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Gegen fünf verschlägt es mich nochmal zum vorhin außerhalb des Waldes gelegenen Platz. Das Zodiakallicht ist sehr eindrucksvoll. Der große Hund ist mittlerweile vollständig zu sehen. Der Orion steht fast im Süden. Das SQM-L klettert auf über 21.4. Es ist Winter! Und die Temperaturen passen auch dazu. 
Ich mache noch schnell ein All-Sky-Panno. Leider rennt mir die Zeit weg und als ich im Zenit angelangt bin, ist die astronomische Dämmerung leider schon 10 min zu Ende.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26522325244/in/datetaken/" title="Wasserkuppe"><img src="https://farm8.staticflickr.com/7416/26522325244_daf6e4323d_h.jpg" alt="Wasserkuppe"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Gegen 06:00 Uhr wird es langsam hell. Eine halbe Stunde später bin ich mit dem Auto unterwegs. Ich treffe aber aufgrund der Verkehrssituation in Frankfurt erst gegen 09:00 Uhr zu hause ein. Was für eine Gurkerei! Es ist aber Montag morgen.

Eine unvergleichliche Nacht war das. Noch nie so schön an meinen Plätzen gesehen. Auch nicht in der Rhön. Und absolut keine Wolken und perfekte Transparenz.

Ich hoffe dies war nicht die letzte gute Beobachtungsnacht dieses Jahr.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40552137650/" title="Wasserkuppe 2015"><img src="https://farm1.staticflickr.com/902/40552137650_1ecffe2141_h.jpg" alt="Wasserkuppe 2015"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

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In den letzten Tagen gab es erfreulicherweise gutes Wetter. Am Wochenende sogar von Freitag auf Samstag eine Nacht, die zumindest für 3-5 Stunden klares Wetter in der Rhön versprach. Der Feierabendverkehr ließ mir keine Wahl. Ich stand erstmal in Frankfurt im Stau, bis ich nach einer Stunde dann auf der A66 angelangt war. Auf der Fahrt zeigt sich, dass die Durchsicht Mist ist. Im Dunkeln muss ich schließlich noch wegen einer Sperrung einen Umweg in Kauf nehmen und verfahre mich natürlich. So komme ich etwa eine halbe Stunde vor Anbruch der astronomischen Dämmerung an und bin zum Glück aber pünktlich beobachtungsbereit. Komme ungern in der Dämmerung an und baue auch ungern im Dunkeln auf.

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![[NGC 7008]]

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{{NGC 7008}}

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![[NGC 100]]

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{{NGC 100}}

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In Frankenheim lief eine Open Air Party. Der Sky Beamer leuchte bis in den Zenit. Zum Glück wurde gegen zwei Uhr morgens abgeschaltet. Schade, das man sowas in einem "Sternenpark" sieht.

Um es vorweg zu nehmen. Die Nacht war leider nicht so toll. Hohe Zirren störten. Gegen 03:30 Uhr war es auf einmal absolut klar. Kam mir kurzzeitig wie an einen guten Beobachtungsplatz in Spanien vor. SQM-L Werte schnellten auf 21.4 hoch. Vorher um 21.2. Doch dann kamen erneut Zirren auf und es zog am Ende komplett zu.

Ich hatte mir lediglich zwei Objekte vorgenommen. IC 5076 sowie NGC 100. Die Serie der All Sky Pannos sollte hier auch seine Fortsetzung finden. Bei IC 5076 war irgendwie der Wurm drin, so dass ich zu NGC 7008 überging. Später dann ging es auch zu NGC 100.

''NGC 7008, "Fötusnebel":'' Ovale, längliche Grundform, die sich am deutlichsten mit dem OIII zeigt. Ohne Filter auch sehr gut. Beobachte schließlich bei 114, 168 mit OIII und 430 fach ohne. Es zeigt sich ein Nebel, der tatsächlich wie ein Fötus aussieht. Im wesentlichen sind auf der Nord-Südachse zwei helle Knoten auffällig sichtbar. Weitere erschließen sich Östlich bzw. westlich. Alle liegen auf dem Rand bzw. in dessen Nähe.

Dann wird das erste Panno gemacht. Danach geht weiter zu NGC 100.

''NGC 100, gegen 02:00 Uhr:'' Dünne, schmale aber recht gut zu erkennende Nadel. Zentralbereich heller. Groß. Beeindruckend.

Plötzlich ist der zuvor seifige Himmel sehr kontrastreich und klar. Aha, also doch Zirren durchgezogen. Euforie kommt auf. Aber leider nur kurz, denn dann rücken erkennbare Zirren aus Süden heran.

Ok, noch ein Panno versuchen. Schließlich soll man den Himmel fotografieren, wenn er sich von seiner besten Seite zeigt.

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Gegen fünf Uhr morgens ist dann Schluss. Es ist recht kalt mit 4° Celsius. Ein paar hundert Meter entfernt wabern schon die ersten tiefen Bodennebelfelder herum. Zwar ist alles naß, aber das Ganze hält sich noch in Grenzen. Ich hoffe bloß, dass dies nicht die letzte Nacht des Jahres war.

Auf dem Rückweg dichter Nebel in Fulda. An der A7 & A66 wird gebaut. Verpasse dann auch die Auffahrt zur A66 und fahre auf der A7 gute 20 km bis endlich die erste Ausfahrt kommt. Am Ende bin ich wie immer erst gegen acht Uhr morgens daheim und völlig platt.

__Fazit:__ Die Rhön kommt ganz gut im direkten Vergleich mit den spanischen Beobachtungsplätzen weg, fällt aber klar hinter diesen zurück. Wenn ich bedenke, dass z.B. [[Bonilla|Bonilla - Mirador de las Estrellas]] einen durchschnittlichen Landhimmel in Spanien darstellt und die Rhön einen herausragenden Himmel in Deutschland, ist das natürlich etwas frustrierend. Vom Wettervergleich ganz zu schweigen.

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Ausnahmenacht? Ja, aber später mehr dazu. Der Spätsommer ist da. Und das nicht zu knapp. Es werden noch einmal über 30 °C erreicht. Die Landschaft ist ausgedörrt. 

Seit Tagen habe ich die Prognosen verfolgt. Wird es nochmal ein Beobachtungsfenster geben? Ja, für eine Nacht. Leider mit durchziehenden Zirren, aber die tieferen Luftschichten sind sehr transparent.

Als ich auf der Wasserkuppe eintreffe, ist Mathias schon da. Er hat sein neues Teleskop dabei. Wahnsinn. Riesig und unglaublich gut verarbeitet. Mathias ist sehr zufrieden. Er steht heute an einem anderen Platz, um dem Wind auszuweichen. Ich gehe wieder zu meinem Platz und baue weiter auf.

Der Himmel ist noch verzirrt. Und ich ärgere mich los gefahren zu sein. Aber war ja alles schon gebucht, Auto und Hotel auch. 

!!Schön wieder am Stammplatz zu sein

Schön nach der Sommerpause wieder hier zu sein. Das Seeing ist auf den ersten Blick im Teleskop sehr gut. Wie von ''meteoblue.com'' vorhergesagt. Erstes Objekt ist Atair. Ja, denn der Quickfinder muss eingestellt werden. Wie dunkel Atair ist. Ja, muss mich erst wieder an ein kleineres Teleskop gewöhnen. 14 Zoll statt 25 Zoll. Im Nachhinein stellt sich heraus, dass der eingestellte Stern nicht Atair war. Alles wieder gut.

Der Wind bläst kräftig, aber ich habe meinen Stammplatz gut gewählt. Die Bäume rauschen und mich erreichen die Böen nicht. Trotzdem schönes Ambiente mit den Bäumen und den Geräuschen durch den Wind. 

!!Bei sehr gutem Seeing stehen PN's auf dem Programm

Erstes Objekt ist Minkowski 1-71: Sternförmig bei 65 fach. Bei 430 fach schon als winziger PN erahnbar. Kann mit OIII aus dem Sternfeld herausgeblinkt werden. Bei ca. 1000 fach wird im Zentrum ein enger „Doppelstern“ sichtbar, der in einen Halo eingebettet ist. Ausdehnung des Halos etwa doppelte Ausdehnung wie der Abstand des Doppelsternpaares. Super!

''__Kommentar:__  [[Uwe|http://www.deepsky-visuell.de]] hat mich darauf hingewiesen, dass er das Objekt anders gesehen habe. Leider stellt sich in der anschließenden Recherche raus, dass ich gar nicht Minkowski 1-71 gesehen hatte, sondern abseits von der korrekten Position offenbar einfach ein Doppelsternpaar.  Ursache ist eine in ~SkySafari falsch hinterlegte Position für das Objekt.''

Und dabei hatte ich mir vorgenommen keine Zeichnungen und keine „ernsthaften“ Beobachtungen durchzuführen. Sondern nur genießen. 

Mathias kommt zu Besuch. Ich zeige ihm Minkowski 1-71. Und auch er kann den Doppelsterncharakter des PNs ausmachen.

Wir sind auf dem Weg zu Mathias' Beobachtungsplatz. Mit dabei die Kamera, um ein paar Fotos zu schießen. Dann wieder zurück zu meinem Platz. Unten sind die Ergebnisse des Fotoshootings zu sehen. 😃

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!!Sehr gutes Seeing + Sehr gute Transparenz = Ausnahmenacht

Mathias möchte, dass ich mit dem SQM-L messe. Tue ich. 21.5 im Mittel in Zenitnähe. Nicht schlecht. Für eine Herbstnacht sehr gut. Normalerweise ist es ja deutlich kühler und feuchter um diese Jahreszeit. Die Zeit rast wieder mal davon. Die Zirren sind weg. Perfekter Himmel.

''Halo um M57'': Er ist zu sehen und das mit 14 Zoll. Aber nur mit OIII und UHC. Mit H-Beta nicht und ohne Filter auch nicht. OIII und UHC schenken sich nicht viel. Unterschied ist gering bis gar nicht feststellbar. Aber der Halo ist zu sehen. Strukturen nicht versucht. Mathias bestätigt grundsätzlich die Sichtung gibt aber zu Bedenken, dass aus seiner Sicht der Halo durch das Überstrahlen durch den Filter hervorgerufen wird und vermutlich nicht real ist. Damit hat er wahrscheinlich sogar recht, denn im 25 Zöller war der Halo bei 100 fach deutlich schwieriger zu sehen. 

Ich verdrücke mich in den Zirrus-Nebel. Wunderschön mit OIII. Ein Traum.

Das SQM-L krabbelt jetzt im Zenit auf 21.55. Die Milchstraße hat den Zenit bereits verlassen. Jetzt kommt der [[„Egg-Nebel“|PK 80-60.1 - Egg-Nebel]]: N-S verlaufender bipolarer Nebel. Nördlicher Teil oval und hell. Südlicher klein, lichtschwächer und fast rund. Vom nördlichen Teil gehen nach Norden zwei schwache Schweife ab. Im Süden auch, aber zentral und viel kürzer. Seeing 1. 

!!M33 ist mit bloßem Auge einfach zu sehen

M33 ist heute indirekt einfach zu sehen. Und dann sogar direkt. Ausnahmebedingungen! Passt gut zu meinem Artikel [[zum Thema Transparenz|Warum die Transparenz so wichtig ist]], die uns ja in Deutschland fehlt. Aber diesen Sommer nicht. Mal sehen, ob das ein Trend wird.

!!Kometen?

Mathias erzählt etwas von einem Kometen. ''21P Giacobini/Zinner''. Wird bei 40 fach eingestellt. Es zeigt sich ein typischer Komet mit recht hellem Nucleus und kurzem gut sichtbarem Schweif. Länge ca. 15-20'. Haue das 5.5mm rein. Mathias warnt. Aber alles ist gut. Die 290 fache Vergrößerung verträgt der Komet locker. Es zeigen sich zudem zwei symmetrische „Streamer“, d.h. Gasschweife, die vom Zentrum symmetrisch abgehen und sich etwas vom zentralen Schweif abheben, was auch zu erkennen ist. Plane eine Zeichnung, verschiebe die Durchführung aber auf später. Am Ende bleibt keine Zeit und d.h. Es bleibt bei der Planung 🤔

Als nächstes Objekt stelle ich [[NGC 7026 - Cheeseburger Nebel]] ein: Einfach aufzufinden. Neben einem recht hellen Stern ist tatsächlich ein Nebel in Form eines „Cheeseburgers“ zu sehen. Zwei parallele, etwa gleich helle Kanten sind zu erkennen. Größe der beiden etwa gleich; wirken unruhig. Nebel ist N-S ausgerichtet. Nach Norden laufen die Kanten diffus und spitz auf einander zu. Nach Süden hingegen nur schwache Fortsätze der hellen Kanten zu sehen, die diffus auslaufen. Kein ZS. Seeing 1.

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!!Wir beobachten Simeis 147 im 21 Zöller

Schließlich ist Mathias wieder da. Wir hatten ja verabredet, dass wir eine halbe Stunde vor der Dämmerung nach Simeis 147 schauen. Hintergrund war ein Hinweis von mir, dass ich womöglich auf dem nächsten DSM zu dem Thema einen Vortrag halten werde, da ich glaube, dass man den hellsten Teil mit einem Teleskop von 14 Zoll Öffnung unter perfekten Himmel sehen kann. Heute haben wir hier für deutsche Verhältnisse ebenfalls einen perfekten Himmel. SQM-L Werte um 21.55 zeigen, wie er tatsächlich ist und da Mathias einen 21 Zöller dabei hat, lohnt es sich mal zu schauen. Zwar ist der Himmel auf der Wasserkuppe deutlich schlechter als der auf La Palma, aber die Öffnung macht das wahrscheinlich locker wett. Auch die Tatsache, dass Simeis 147 zwar schon hoch, aber eben trotzdem nicht im Zenit steht, lässt bei mir Skepsis aufkommen.

!!Wir gehen zu Mathias Beobachtungsplatz. Im Osten ist schon das Zodiakallicht gut zu erkennen.

Gesagt, getan. Mathias hat den 21 Zöller mit einem 26 mm Nagler bestückt. Ich habe dann das Sternfeld schnell eingestellt, da ich zuvor an meinem Teleskop geübt habe. Leider hatte die Zeit nicht mehr ausgereicht, um bei mir am Teleskop mit 14 Zoll selbst noch mal zu prüfen, ob der helle Nebelteil auch bei mir zu sehen ist. Egal jetzt schauen wir am 21 Zöller. Es dauert einen Moment, bis ich die Orientierung des Nebels veranschaulicht habe. Ich erinnere mich noch gut an die meine [[Beobachtung aus dem Januar|Visuelle Beobachtung von Simeis 147 mit 14 Zoll]] und erkenne den Nebel mit OIII nach relativ kurzer Zeit. Mathias schaut auch und bestätigt die Sichtung. Insbesondere der Teil, in dem keine Feldsterne liegen ist einfach zu erkennen. Neben einem Stern ist sogar relativ einfach ein hellerer abgesetzter Knoten zu sehen (in meinem [[Artikel|Visuelle Beobachtung von Simeis 147 mit 14 Zoll]] als D6 bezeichnet). Wir veranschaulichen uns das ganze noch mal am POSS. Aus unser beider Sicht eine eindeutig positive Beobachtung. Und dabei noch nicht einmal sehr schwierig. Ein gelungener Abschluss dieser Nacht.

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[[<< Zurück zum Artikel|Herbstfest auf der Wasserkuppe]] | [[Zur nächsten Nach am 05. Oktober >>|05. Oktober 2018 - Wasserkuppe]]

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Gestern Nacht ist - glaube ich - die dritte Nacht, die wir bis sechs Uhr durchbeobachten. Aber heute hat uns das Wetterglück verlasssen. Leider. Am Mittag gab es wieder Wind ohne Ende und hohe Wolken. Zeitweise war die Sonne nicht mehr zu sehen. Am Abend hat sich die Situation leider nicht verbessert. Morgen ist ein weiterer Wolkentag angekündigt.

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Nach dem Abendessen gehe ich nochmal raus. Muss ja, denn ich muss das Teleskop ja wieder abdecken. Gegen 22.00 Uhr bin ich dann am Platz. Stelle kurz Jupiter & Saturn ein. Aber das Seeing ist nicht gut. Dann M8. Matschig. M20 geht aber gut. Noch ein paar Aufnahmen der Milchstraße, die jetzt durch einen natürlichen Diffuser zu sehen ist. Hubert kommt noch mal vorbei. Wir halten ein Schwätzchen und dann baue ich wieder ab. Windhuk ist heute gar nicht zu sehen, obwohl hohe Bewölkung (Wolkenuntergrenze > 7km lt. 7timer) durchzieht.

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Interessanterweise kann ich zunächst bei stärkerer Bewölkung 21.75 mit dem SQM-L messen. Dann folgen 21.86 und schließlich sogar über 22. Erststaunlich, aber dieser Himmel ist einfach dunkel, selbst wenn Zirren durchziehen.

[[<<Zurück zur vorangegangenen Nacht|11. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|13. August 2018 - Tivoli Astrofarm]]

Nach nur viereinhalb Stunden Schlaf und nicht mehr schlafen können geht es mir trotzdem erstaunlich gut. Die Insel liegt mittlerweile unter einer dicken Staubdecke, die man schon die letzten Tage vom Roque aus erkennen konnte. Nun hat sie sich bis in den Westen vorgearbeitet und soll erst in zwei Tagen wieder verschwinden. Dann setzt der Alisio  ein, der typische Nordostpassatwind und pustet den Sand wieder weg. Das erstaunliche ist, dass die Staubdecke nur bis in etwa einer Höhe von 1700m reicht. Dies kann man sehr gut vom Roque aus sehen und daher habe ich beschlossen, heute zum Wassertank zu fahren. 

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Ich breche noch kurz vor Sonnenuntergang auf und komme noch im hellen gut oben an. Oben ist es wie vorhergesagt windstill. Ab morgen soll der Wind auch mächtig zulegen. Da er aus Ost kommt, müsste man eigentlich hier vor ihm recht sicher sein. Daher überlege ich, ob ich morgen auch noch mal herkomme. Die Temperaturen sind heute hier oben sehr angenehm, aber ich habe das Gefühl, dass sie niedriger sind als vor ein paar Tagen. Auch dies wird vorhergesagt, dass die Temperaturen in den Höhenlagen nun recht deutlich zurückgehen werden.

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Die Dämmerung ist immer wieder spektakulär. Die Farben, dann erscheint das Zodiakallicht und schließlich die Sommermilchstraße.

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!Bedeckung von Ganymed durch Jupiter

Seeing ist ganz ok. Ganymed steht sehr nah an der Jupiterscheibe und wird in 10 Minuten dahinter verschwinden. Sieht wirklich interessant aus. Hab ich bisher auch noch nie gesehen, dass ein Mond von Jupiter selbst bedeckt wird. Andersherum jedoch schon. Die kleine weiße Scheibe, nähert sich der Jupiterscheibe immer stärker an. Schließlich verschwindet sie dahinter, und der Kontrast ist wirklich interessant, denn Ganymed sieht komplett Weiß aus, und die Bänder des Jupiter hingegen hellgelb.

SQM 21.36, SQM-L 21.6. Mega Himmel, Mega Transparenz. Seeing ist heute auch ok.

![[IC 349]]

Da ich jetzt natürlich noch nicht vollständig dunkeladaptiert bin, versuche ich spontan den winzigen Nebel um Merope zu erhaschen. Und es gelingt! Ich setze das Ethos  3.7 mm ein, aber dies neigt zu Reflexionen. Daher gehe ich auf ein Pentax Ortho 7 mm zurück und kann tatsächlich neben Merope, aber nur, wenn der Stern selbst ganz knapp außerhalb des Gesichtsfeld steht, einen kometenartigen Nebel wahrnehmen. Wobei die Kanten etwas heller zu sein scheinen. Insgesamt aber zeigt er sich oval, wobei die von Merope abgewandte Seite offen zu sein scheint. Um die Beobachtung zu bestätigen, versuche ich das Gesichtsfeld weiter zu verkleinern und greife auf ein Pentax XP 3.8mm zurück, und kann ebenfalls den Nebel gut erkennen. Aber auch hier gilt: nur wenn Merope außerhalb des Gesichtsfeld steht, lässt sich zweifelsfrei IC 349 erkennen. Die Beobachtung wird zum Glück auch nicht von Spikes beeinträchtigt, denn eine geht etwas vorbei und zeigt auf den westlichen stehenden Stern des schwachen Sternpaars. Insgesamt jedoch muss ich sagen, bin ich überrascht, wie schwach der Nebel tatsächlich ist.

![[Abell 77]]

Kleiner, ovaler Nebel um einen schwachen Stern. Bereits ohne Filter schwach sichtbar, am besten funktioniert ein UHC. Der Nebel ist im Norden heller und im Süden dunkler.

![[NGC 253 - Sculptor-Galaxie]]

Heute gibt es noch mal eine Nachschau zur Sculptor-Galaxie. Die Zeichnung habe ich gestern angefertigt aber sie bedarf noch einer genauen Überprüfung, insbesondere vor dem Hintergrund, dass ich heute einen besseren Himmel habe. Möglicherweise sind noch feinere Strukturen, als die ich gestern gesehen habe, möglich. Und die Vermutung bestätigt sich. Insbesondere abseits des hellen Zentrums zeigen sich in den diffusen Ausläufern, weitere schwache, ebenfalls diffuse Strukturen. Praktisch die gesamte Galaxie besteht aus kleinen unterschiedlich helleren „Wattebäuschchen“, die sich aneinanderreihen und irgendwie diese wunderbare Galaxie formen. Wunderbar!

SQM-L 21.81 und 21.6 ohne Linse. Der Himmel dreht jetzt richtig auf. Mittlerweile weht auch ein leichter Wind, wie man an den Bäumen hören kann. Die Temperaturen sind um 10 °C. Man hat jetzt tatsächlich wieder das Gefühl, hier geht es wieder Richtung Winter.

![[NGC 7635 - Blasennebel]]

Schon bei Übersichtsvergrößerung gut erkennbar. Kann relativ hoch vergrößert werden. Ich vergrößere auf 215x. Es zeigt sich schließlich eine Sichel direkt an einem hellen Stern. Nach innen diffuser Nebel und westlich des Sterns jedoch hellerer längerer Knoten. Nördlich weiteres schwächeres und deutlich diffuses Bogensegment, das irgendwie strukturiert wirkt und dabei in zwei bis maximal drei hellere Teilsegmente zerfällt. Seeing 3-4.

Der Himmel ist unglaublich! Ich mache parallel auch Fotoaufnahmen, denn das ist wirklich der Hammer hier. So eine Transparenz habe ich früher hier nur gesehen und vielleicht ein, zwei mal in Namibia. Aber vor allem hier, wenn die Bedingungen stimmen! Und heute stimmen sie. Einfach atemberaubend. Eigentlich kann ich das Teleskop in die Ecke stellen und nur mit dem bloßen Auge beobachten. Was besonders auffällt, ist, dass die Wintermilchstraße zwar diffus aber richtig hell ist und links und rechts davon der Himmel einfach nur richtig dunkel ist. Natürlich ist er nicht schwarz, denn einen schwarzen Himmel gibt es nicht. Aber man erkennt sofort, dass dieser Himmel gut ist und sowas sieht man auch niemals in der Rhön. Niemals! Besonders kurios finde ich auch die Tatsache, dass die Sterne unter dem mathematischen Horizont Richtung Meer zu sehen sind. Dann glaubt man, es sind möglicherweise Schiffe auf dem Meer, bis man feststellt, dass es die Sterne selbst sind, insbesondere, wenn z.B. „Jupiter in das Meer eintaucht“, dabei wird er nur unwesentlich schwächer und und das ist eigentlich noch viel geiler als Namibia. Ich schätze, hier von einer Höhe am Wassertank liegt der mathematische Horizont etwa 4° darunter, etwas weniger als eine halbe Faustbreite.

![[NGC 2261 - Hubble's Veränderlicher Nebel]]

Die Nachschau zu gestern. Kann eigentlich nichts Neues oder irgendetwas anderes erkennen. Die Zeichnung ist tatsächlich ganz gut gelungen. Allerdings ist der Nebel hier noch mal heute deutlich kontrastreicher. Einfach unglaublich wie hell und schön das Ding ist. Die Dunkelstelle im Nebel kann heute etwas besser erkannt werden. Liegt vermutlich an der deutlich besseren Transparenz hier oben.

![[IC 2233]]

Wunderschöne Superthin! Ist bei Übersichtsvergrößerung nicht auszumachen, da die AP viel zu hoch ist. Aber die in der Nähe befindliche Galaxie NGC 2537 („Bärentatzen-Galaxie“) weist den Weg. Bei Steigerung der Vergrößerung fällt sie denn recht schnell auf, obwohl ein recht heller Stern in der Nähe steht. Und nicht nur er stört die Beobachtung, sondern auch ein weiterer Stern, der im nördlichen Teil der Galaxie steht. Bei geduldiger Beobachtung wirkt die Galaxie zunächst homogen, jedoch zeigt sie einen helleren Bereich, der offenbar das Zentrum darstellt. Dort schließt sich auch eine Art Knoten an, der praktisch sternförmig aussieht.

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Helles rotbraunes Airglow begleitet die ganze Nacht oder sind es doch nur hohe durchziehende Wolken? Airglow!

![[M 108]]

Große, helle Galaxie mit sternförmigen Zentrum. Kann bis auf 351x vergrößert werden und zeigt sich stark strukturiert. im Galaxienkörper liegen zwei bis drei Vordergrundsterne. Interessanterweise sieht das Zentrum so aus, als würde dort ebenfalls ein Stern stehen. Das sternartige Zentrum hat auch keinen umgebenden hellen Bereich. Die Strukturen sind wirklich faszinierend und erinnern mich irgendwie an die Sculptor-Galaxie. Wenngleich sie natürlich nicht so hell sind.

Der Winter ist wieder angekommen. Die Temperaturen sind recht frisch und Winterzeug ist angesagt. Die Temperaturen sind mit 7 °C aber okay. Leichter Wind aus Ost, der jetzt wieder etwas stärker weht, aber nicht stört. Ich fotografiere den Milchstraßenbogen und möchte eigentlich nichts Neues mehr anfangen. In eine Stunde ist astronomische Dämmerung.

Ich möchte mich für heute einfach von diesen genialen Himmel noch mal verabschieden und stelle ein paar Schaustücke ein. Bei M 51 z.B. bleibe ich sprachlos zurück, denn ich habe noch nie gesehen, dass die Galaxie so kontrastreich vor dem Himmelshintergrund bei Übersichtsvergrößerung und fast 7mm AP zu erkennen ist. Einfach unfassbar. Daher beschließe ich noch mal eine andere Galaxie zu besuchen.

![[UGC 9242]]

Sehr extrem! Kann bei Übersichtsvergrößerung nicht erkannt werden. Erst als ich auf 251x vergrößere, schält sich ganz subtil eine nadelförmige Galaxie aus dem Himmelshintergrund. Keine Strukturen zu erkennen, auch keine Helligkeitszunahme. Einfach komplett homogen. In unmittelbarer Nähe steht auch die Galaxie PGC 2152475 die kaum besser erkannt werden kann. Trotzdem sehr schöne Beobachtung!

Zum Schluss will ich noch unbedingt zu den Antennen. Und die sehen toll aus. Diffuse Knoten, Dunkelstellen. Nach den Antennen selbst halte ich jetzt keine Ausschau mehr. Jetzt wird noch zusammengepackt und ab geht’s nach Hause.

[[<< Zurück zur letzten Nacht|11. Dezember 2023 - Athos Star Campus]] | 
[[ Weiter zur nächsten Nacht >>|13. Dezember 2023 - Wassertank]]

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Absolut windstill. Roque de los Muchachos. Wettervorhersage war lausig. Trotzdem verschwinden die hohen Wolken zur Dämmerung. Super. Stehe unterhalb der Straße auf einem betonierten Weg. Heute ist Freitag und da ist schon mit einigem Verkehr hier oben zu rechnen. Komme an verschiedenen bekannten Beobachtungsplätzen vorbei. Unglaublich, wie hier die Ginsterbüsche gewachsen sind. Z.T. Kann man sich gut verstecken.

[[Böhm-Vitense 5-1]]: Unscheinbarer Nebel bei 290 fach. Probiere OIII und UHC. Gefällt mir nicht. UHC scheint aber aber besser zu sein als OIII. Bleibe aber dabei und beobachte weiter ohne Filter. Der Nebel scheint ohne Filter besser beobachtbar. Bei 430 fach - und besser werdendem Seeing - zeigt sich zunächst ein kleiner runder, unruhiger Nebel, der nach geduldiger Beobachtung zu einer Sichel wird, deren Mitte deutlich heller, fast sternförmig, ist. Ab und an geht die Sichel dann nach Westen deutlich weiter, so dass man glaubt eine gebogene Galaxie vor sich zu haben. Dabei zeigt sich, dass diese schwache Fortsetzung geradlinig ist. Seeing 2-3. SQM-L 21.78. Schönes Objekt.

[[Böhm-Vitense 5-3]]: Heller als B-V 5-1. Auf den ersten Blick rund und ohne Struktur. Reagiert gut auf OIII. Mit OIII bei 430 fach wirkt der Nebel unruhig und nach einiger Zeit zeigt sich das Innere dunkler und der Rand heller, der gut definiert wirkt. Schwierig zu erkennen, aber doch eindeutig. Seeing 2-3.

[[Minkowski 1-8]]: Schon bei 65 fach als kleines Sternchen zu erkennen. Bei 290 fach zeigt sich ein rechteckige Grundform mit zwei angedeuteten Balken, die fast in O-W-Richtung verlaufen. Bei 600 fach kann dies bestätigt werden. Der Nebel ist dann noch relativ hell. Zwei kurze diffuse Balken. Dazwischen diffuser Nebel. Rechteckig. Seeing 2-3. 

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[[Minkowski 1-13]]: Heller, Ovaler Nebel bei 290 fach. Bei 600 fach zeigen sich zwei helle, diffuse Kanten, die den Mittelteil markieren. Dann läuft der Nebel oval und diffus aus. Die Mitte ist deutlich prominenter, so dass sich der Mittelteil als fast runde Form gegenüber dem Rest abgrenzt. Seeing 2-3.

[[Simeis 147 um HD 246646]]: Bei 40 fach und übergroßer AP ist zusammen mit einem OIII-Filter ein Glimmen um ein Sternentrapez sichtbar. Vergleiche mit anderen Sternen zeigt, dass es sich um eine sichere Beobachtung handelt. Trotzdem grenzwertig, da ich mir aufgrund von Müdigkeit bei den folgenden Nachbeobachtungen immer schwerer tue. Es wird sogar ein hellerer Bogen sichtbar, der durch ein Sternfeld geht und ohne Karte schon vermutet werden kann. Wechsele auch zu 65 facher Vergrößerung, wobei die Beobachtung dann schwieriger wird. Insgesamt zeigen sich drei hellere Bereiche, wobei der Bogen am eindeutigsten ist, insbesondere, da kaum Sterne stören. Trotzdem grenzwertige Beobachtung. Überraschend schwierig.

Es ist 04:15 Uhr. Ich bin durch. Fertig. Der Wind hat auch zugelegt. Endlich nach Hause. Bin mit den Bedingungen sehr zufrieden. +3 Grad Celsius. Windstill. Klar. SQM-L 21.76. Brauchbares Seeing lt. IAC um 0.7“. Am Haus klar. Leichter Wind, der die Nadelbäume rauschen lässt. Traumhaft. Der Rabe steht schon recht hoch. Morgen, also heute, sind Wolken angekündigt.


[[<<Zurück zum Artikel|La Palma im Januar 2018]] | [[Weiter zur nächsten Nacht >>|13. Januar 2018 - La Palma]]

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Klar mit abziehenden Quellwolken. Wind kommt - wie für die Region eigentlich typisch - aus Osten. Ist mir ein Ticken zu stark, aber das haben wir ja jeden Tag. Im Notfall kann ich auf die Viehtränke ausweichen, an der ich schon vorbeigekommen bin und wo es absolut windstill ist.

Heute ist die vierte Nacht. Und stets habe ich bis zum Morgengrauen beobachtet. Seeing ist zunächst wieder mies. Aber das hatten wir auch schon mal. Als erstes wird bei zunehmender Dämmerung die Schildwolke sichtbar. Dann folgt die im Schützen und dann der Rest.

[[Stephenson 4-1]]:  Mit 65 facher Vergrößerung wird an der richtigen Stelle im reichen Sternfeld der Leier ein schwacher Stern sichtbar. Mit OIII-Filter zeigt sich dann, dass es sich tatsächlich um einen PN handelt: das Objekt wird im Gegensatz zu gleich hellen Stern deutlich heller. Vergrößerung bis auf 800 fach zeigt das Objekt weiterhin stellar.

Himmel ist heute nicht gut. Er wird immer seifiger. Das SQM-L zeigt jedoch immer noch gute Werte von 21.74 an. Kann es kaum glauben. Ein paar Minuten später wird der Himmel wieder deutlich transparenter. Unglaublich! Und das innerhalb von 15 Minuten. Beim Beobachten von Stephenson 4-1 habe ich bemerkt, dass das Bild kurzzeitig deutlich dunkler wurde. Habe es aber nicht glauben wollen.

[[Kohoutek 3-27|Kohoutek 3-27 mit 14 Zoll]]: Sehr schwaches Glimmen, was schon bei 290 fach an der richtigen Stelle gut gesehen werden kann. Steigerung der Vergrößerung auf 800 fach zeigt keine Strukturen oder Zentralstern. UHC und OIII–Filter wirken nicht. Am besten ohne Filter sichtbar. Optimale Vergrößerung 430 fach. Helle Sterne im Gesichtsfeld stören die Beobachtung.

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 Wolken ziehen durch den Pinar und werden mächtig angeleuchtet.</div>

Eine fette Wolkenbank zieht durch. Aber es dauert nicht mal 20 Minuten da ist die schon wieder fast weg. In den bekannten Wetter Apps natürlich kein Wort davon. Und auch in der Wolkenansicht von Wetteronline ist auch nichts zu sehen. Dann gehen wir mal davon aus, dass sie wieder verschwinden werden. Kurz bei 7timer nachgeschaut: Morgen Nacht sind auch Wolken angekündigt. Und Tags drauf am frühen Abend Wind. Hoffe nicht dass das Thema jetzt hiermit beendet ist. Interessant: es handelt sich vermutlich um sehr hohe Wolken und diese sind dunkler als der Nachthimmel. Nur dort wo sie recht dünn sind, sind sie etwas heller, was vermutlich daran liegt, dass sie vom Nachthimmel angeleuchtet und das Restlicht an ihn gestreut wird. Beim Blick auf ein Foto, dass die Kamera alle 30 sec automatisch schießt, ist klar, dass die Wolken doch von der Lichtverschmutzung der umliegenden Dörfer angeleuchtet werden.

Es kommen noch mehr Wolken und in der Wolkenansicht von Wetteronline sind sie jetzt auch endlich zu sehen. Das Ganze wird jetzt langsam etwas lästig, da praktisch keine Region des Himmels ausgespart bleibt.

2:35 Uhr: war schon drauf und dran alles einzupacken und hab damit auch schon begonnen. Aber Wetteronline meldet dass der Spuk jetzt vorbei sein soll und in der Tat die Wolken ziehen schnell ab. Da hätte ich vermutlich mal wieder zu früh Schluss gemacht. Muss mir aber zunächst mal ne Cola reinpfeifen, damit ich hier nicht gleich einschlafe. Mit den Wolken hat sich auch der Wind beruhigt. Vermutlich hat er sie sogar hierher gebracht.

[[NGC 6751]]: wunderbares Objekt. Schon bei 65 fach gut zu erkennen und leicht auffindbar. Kann ohne Probleme bis auf 800 fach vergrößert werden. Dann zeigt sich ein Nebelring, in dessen Mitte ein gut sichtbarer Stern zu sehen ist. Ring ist gut definiert, insbesondere in westlicher und südlicher Richtung. Dort befinden sich auch zwei stellare Aufhellungen, die indirekt zwar nicht zu halten sind, aber sicher immer wieder aufblitzen. Nach Osten hin bricht der Nebelring ab. Trotzdem zeigt sich insgesamt ein schöner Ring. Sehr schönes Objekt! Reagiert übrigens gut auf OIII-Filter. Seeing 1-2.

Der Himmel erholt sich gar nicht. Das SQM-L hat zwischendurch mal 21.6 gemessen. Die Transparenz ist völlig im Eimer. Dafür ist das Seeing gut.

[[NGC 6741]]: bei 65 fach als stellares Objekt schon sichtbar. Bei 290 fach immer noch nicht gut von den Feldsternen zu unterscheiden. Erst ab 430 fach ist die Sache klar. Ab 800 fach kann relativ gut ein ovaler, heller, sehr gut definierter Ring erkannt werden. Da das Objekt so hell ist, vergrößere ich schließlich auf tausendfach. Dann wird auf dem Nebelring blickweise ein heller Knoten sichtbar. Zunächst habe ich gedacht, dass es sich dabei um den Zentralstern handelt. Erst nach geduldiger Beobachtung wird klar, dass dieser sich auf dem Ring befindet. Und gegenüberliegend wird ebenfalls ein weiterer Knoten sichtbar. Zusammen können Sie ein bis zweimal kurz zusammen gesehen werden.

[[NGC 6852]]: schon bei 65 fach wird an der richtigen Stelle ein kleines „verdächtiges Objekt“ sichtbar. Bei 290 fach schon als kleiner diffuser, recht schwacher Nebelring sichtbar. Beste Vergrößerung bei 430 fach. OIII-Filter funktioniert gar nicht, UHC geht ganz gut. Am besten jedoch ohne Filter. Nach Süden hin wird der Ring schwächer. Östlich, westlich und nördlich, schön symmetrisch werden insgesamt drei Knoten sichtbar. Dabei ist einer, der Westlichste eindeutig am hellsten und erscheint schon fast wie ein schwacher Stern.

4:50 Uhr die Nacht ist rum. Jetzt fängt auch noch wieder der Wind an zu nerven. Der Himmel hat sich nach dieser Wolkenattacke nicht mehr erholt. Mars zeigt immer noch ein Halo. Übel. Hoffe dass 7Timer nicht recht hat, und es heute Nacht nicht wieder bewölkt.

Gegen Mittag stehe ich auf. Ein Blick aus dem Fenster. Katastrophe. Der Himmel ist milchig weiss. Abbruch. Sind eh Wolken für diesen Nachmittag bzw. Abend angesagt, wobei 7timer Wolken die ganze Nacht vorhersagt. Das war es. Das zum Thema La Palma säuft in Calima ab. Neh, der Pinar säuft jetzt ab. In La Palma ist sie schon wieder weg, wie ein Blick auf die ING-Wetterseite zeigt.

[[<<Zurück zur vorherigen Nacht|11. Juli 2018 - Pinar de Araceli]] | [[Zurück zum Artikel>>|Pinar de Araceli Sommer 2018]]

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true"href="https://www.flickr.com/gp/106029581@N02/kAykh0" title="Neowise at dusk"><img src="https://live.staticflickr.com/65535/50107783873_ca9a0b7dd5_h.jpg" alt="Neowise at dusk"></a>Der Komet ☄️ Ist bereits während der Dämmerung gut zu erkennen (Einzelbild).</div> 

Kaum haben wir den kommenden C/2019 Y4 Atlas Im Frühjahr hinter uns gelassen taucht ein viel spektakuläres Objekt, nämlich der Komet C/2020 F3 NEOWISE Zunächst am Morgenhimmel und später dann auch am Abendhimmel auf. Ich schau mir den Kometen schließlich am 12. Juli zusammen mit meinen Kindern vom Feldberg aus an.

!Zum Sonnenuntergang sind wir auf dem Feldberg

Dazu brechen wir gegen 19 Uhr auf und sind weit vor Sonnenuntergang auf dem (kleinen) Feldberg. Wir ergattern eine der am Brunhildsfelsen aufgestellten Parkbänke und warten darauf, dass die Sonne untergeht. Wir sind trotz der frischen Temperaturen gut ausgerüstet und haben warme Kleidung dabei und bestaunen die Leute, die im T-Shirt bzw.  kurzen Hosen dort oben bei circa 16 °C bzw. später 12 °C recht lange ausharren.

Wie gesagt, kampieren wir zunächst auf einer der Parkbänke und futtern unsere Brote. Nach Sonnenuntergang geben wir diese schließlich frei, da ich feststelle, dass als Beobachtungsstandort die Parkbänke nicht besonders gut sind. Denn es kommen immer wieder Leute vorbei und packen zum Teil Weinflaschen inklusive Gläser aus und fangen an zu feiern 🥳! Daher verziehen wir uns etwas unterhalb des Gipfelbereichs und fangen schon mal an aufzubauen. Von oben dröhnt Partymusik und Geschrei. Offensichtlich hat sich das Partyvolk hier heute Nacht eingefunden. Wir lassen uns aber nicht beirren und suchen den Nordhorizont bereits mit dem Feldstecher nach dem Kometen ab. In Sky Safari habe ich schon mal nachgeschaut, an welcher Stelle wir ihn denn erwarten müssen. Die Dämmerung dauert dann auch sehr lange. Aber schließlich können wir ihn entdecken. Zuvor orientieren wir uns an Capella, die kurz vor dem Untergang steht. Links davon, beziehungsweise westlich steht Menkalinan oder auch Beta Aurigae gennant. Nimmt man nun die Verbindungsstrecke der beiden und verlängert sie Richtung Westen, stößt man schließlich auf den Kometen.

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!Der Komet im 10x50 Feldstecher 

Zunächst sieht man im Feldstecher eine helle Koma und einen offensichtlich hellen Schweif. Je dunkler es wird, desto länger wird der Schweif am Ende. Der Kern ist hell und flächig und man sieht eine vom Kern abgehende „Zweiteilung“ des Schweifs. Im 10×50 Feldstecher, der ein Gesichtsfeld von 6.5° zeigt, scheint der Schweif, als es richtig dunkel ist, über das Gesichtsfeld hinaus zu gehen. Dieses Objekt ist ein Traum für jeden Feldstecher! Der Kern und der abgehende Schweif sind sehr hell und laufen dann gebogen und diffus am Himmel aus. Mit bloßem Auge ist der Komet ebenfalls sehr, sehr deutlich zu erkennen, selbst wenn er auch für längere Zeit durch einige Zirren verdeckt wird.

Zu Beginn der astronomischen Dämmerung brechen wir schließlich auf, denn unser Beobachtungsstandort war zum einen nicht optimal, denn der Komet verschwindet mittlerweile hinter einem Busch. Die Stative aber noch mal umzuräumen macht keinen Sinn und mein Sohn ist bereits auf dem Boden eingeschlafen. Meine Tochter hält allerdings weiter durch und ich zeige ihr, nachdem sie den großen Wagen, den sie bereits im Vorfeld als eine Art „Wagen“ erkannt hatte, dass „Himmels-W“.
Nach dem Abbau trotten wir wieder Richtung Gipfel und sehen sogar eine Gruppe mit kleinen Teleskopen, die offensichtlich das gleiche Vorhaben wie wir. Das Partyvolk hat sich mittlerweile offensichtlich verzogen. Ein sehr lohnenswerter Ausflug, wobei ich an 1996 zurückdenke, wo ich aus der Erinnerung heraus ein ähnlich spektakulären Kometen, nämlich Hyakotake im Feldstecher gesehen hatte. Dieser ist jenem mindestens ebenbürtig und eignet sich hervorragend (für die Werbung zum) Erwerb eines Feldstechers!

Wir laufen schließlich das letzte Stück über die Wiese, um zum Auto zu kommen. Dabei blicken wir kurz auf den Turm am Gipfelplateau, der von Flutlicht zum Teil angestrahlt wird. Mein Blick schweift über die Sommermilchstraße, die sich im Zenit ausbreitet und nur schwach und ausgewaschen erkennbar ist. Eigentlich schade: der Berg bietet im Kern die besten Voraussetzungen für astronomische Beobachtungen. Er wird aber im direkten Vergleich zur Wasserkuppe von ganz anderen Leuten frequentiert und damit auch genutzt. Hier werden nachts Feste gefeiert. Der Berg kommt offensichtlich nachts überhaupt nicht zur Ruhe. Schade eigentlich.

Dies ist die letzte Nacht, wo der Mond am Abend immer noch nicht stört. Er geht bereits um 18:45 Uhr praktisch mit Einbruch der astronomischen Dämmerung unter. Feine Zirren sind angekündigt und haben den Himmel überzogen. Visuell sollte das kein Problem sein. Das Seeing ist da wichtiger. 

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Erstes Objekt ist heute [[NGC 4361]]: es zeigt sich ein sehr großer Nebel, mit einem recht hellen Zentralstern. Dieser wird von einer ovale Nebelschale umgeben, wobei diese auch bipolare Anteile hat, die jeweils Ost-West ausgerichtet sind. Etwa nord- & südlich gehen zwei Arme ab, wobei der südliche besser definiert ist. Inneres ist dunkler, aber trotzdem mit diffusem Nebel gefüllt. Insgesamt kann man bis auf 670x vergrößern. Optimale Vergrößerung ist allerdings 454x, da dann die Details am besten beobachtet werden können. OIII-Filter bringt keine Verbesserung gegenüber filterloser Beobachtung.

21.8 im Mittel mit dem SQM-L. Im Nordwesten kann man eine Wolke sehen. Himmel ist aber sehr gut. Seeing ist auch gut.

!IC 1295 gibt es gar nicht

Beim nächsten Objekt ist ~SkySafari der Meinung, dass es das noch gar nicht gäbe und quittiert die Sucheingabe mit: „Ist ein nicht existierendes Deep Sky Objekt im Sternbild Carina“. Tatsächlich ist der Planetarische Nebel ein alter Bekannter und steht im Sternbild Schild!

[[IC 1295]]: ovaler und recht heller Nebel schon bei 100x. Inneres mit Nebel gefüllt, bis auf Teile der Westseite, die eine Ausbuchtung hat. Begrenzt wird der Nebel durch eine markante Nebelschale, die diverse Unterbrechungen nach Osten und eine kurze im Norden zeigt. Umgeben ist das Objekt von einem Halo, der im Norden etwas prominenter ist.

Dann kommt ebenfalls wieder ein alter Bekannter, nämlich [[NGC 5844]]: schon bei hundertfach auffällig im Sternfeld. Kann dies auf 454x vergrößert werden. Es zeigt sich ein kissenförmiger Nebel, in dessen Ecken zum Teil hellere Enden zu sehen sind, zum Teil durchsetzt auch durch sternartige Knoten.

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Milchstraße im Sternbild Adler. 10 × 1 Minute belichtet bei f2 und 85mm sowie modifizierter Sony A6000. Der helle Stern links ist Atair. Rechts oberhalb ist der berühmte Dunkelnebel Barnard 142 & 143 zu sehen.

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! Vergleich 20 Zoll versus 25 Zoll

Hubert kommt vorbei und möchte eine Galaxie sehen. Gestern haben wir bereits darüber gesprochen und er wollte einfach mal den Unterschied zwischen seinem 20 Zöller von dem 5 Zoll größeren Gerät sehen. Bei der Galaxie handelt es sich um [[NGC 5643]], eine Balkenspirale im Sternbild Lupus. Bei 100x ist die Galaxie schon gut zu erkennen. Kann bis auf 300x vergrößert werden. Dazu holt Hubert das Nagler 7 mm. Es zeigt sich eine Spiralgalaxie mit einem diffusen, hellen Kern, der in einen recht markanten Balken eingebettet ist. Vom Balken gehen kurze, gebogene Arme ab, wobei einer deutlich prominenter ist und auch eine hellere Kante zeigt. Wenn man etwas geduldiger beobachtet, scheinen sich die kurzen Arme über eine diffuse, runde Brücke zu verbinden.

Ganz in der Nähe befindet sich ein ebenfalls heller Planetarischen Nebel [[IC 4406]]. Wir schauen uns den Nebel nur kurz an, Seeing wird zunehmend schlechter. Ich möchte heute unbedingt früher ins Bett, um mich einmal zu erholen. Früh heißt, dass ich um vier im Bett sein möchte, anstatt um 6:00 Uhr morgens. Um 6:00 Uhr morgens setzt übrigens die Dämmerung ein.

[[<<Zurück zur vorangegangenen Nacht|11. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|13. Juni 2021 - Tivoli Astrofarm]]

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Heute sind sind wohl tatsächlich alle Gäste angereist. Viele bleiben 10-12 Tage. Und es sind alles tatsächlich Astrofotografen. Beim Frühstück hört man von nächtlichen Problemen bei der Nachführung und ähnlichem. Aus der Vergangenheit kenne ich diese Problematik nur zu gut. Nach dem Frühstück haue ich mich noch mal in die Falle.

Sonnenuntergang auf Tivoli: Es ist absolut windstill. Der Himmel klar.

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Obwohl die Sonne noch nicht ganz untergegangen ist, geht schon im Osten der Erdschatten auf. Heute werde ich das Ganze mal auf einem Foto festhalten.

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Im Westen sind wie gestern auch schon hohe Zirren zu erkennen. Sie sehen wie nachtleuchtende Wolken aus. Sie sind stromlinienförmig ausgerichtet, als hätte sie jemand gekämmt.

Klar. Windstill. Himmel ist heute Nacht leicht aufgehellt.

Erstes Objekt ist wieder Abell 13, von dem ich ja noch eine Zeichnung machen wollte.

''Abell 13, 19:20 Uhr:'' Und heute wieder Abell 13. Jetzt deutlich schwieriger zu sehen. Ob das wohl an der Tagesform liegt? Trotzdem gelingt eine Sichtung. 

Nächstes Objekt ist ebenfalls ein alter Bekannter: Abell 38.

''Abell 38, 22:10 Uhr:'' Ewig wegen der Positionierung gemacht. Dann weder bei 100 fach, 180 fach, noch bei 280 fach mit OIII-Filter etwas eindeutiges gesehen. Hier ist einfach der Wurm drin. Keine Ahnung was heute los ist. Schließlich breche ich ab.

Ich gerate ein wenig in Panik. Ob ich heute überhaupt was sehe? 

Schließlich entscheide ich mich nochmal Abell 40 einzustellen, der ja quasi um die Ecke steht. Er ist auf jeden Fall noch da, auch wenn er im Gegensatz zu gestern schlechter zu erkennen ist.

Ich beschließe, das Programm komplett umzuwerfen. Jetzt soll es vorrangig um helle Objekte gehen.

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{{Abell 13}}

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''M 7, 22:45 Uhr:'' Sprengt das Gesichtsfeld bei minimaler Vergrößerung von 100 fach. Unglaublich schöner Anblick. Insbesondere die angrenzenden und eingebetteten Dunkelnebel. 

Am Rande des Sternhaufens liegt ein kleiner unscheinbarer Kugelsternhaufen, den ich schon von Spanien aus, letztes Jahr beobachtet hatte.

''NGC 6453, 22:50 Uhr:'' Kleiner unregelmäßig geformter Kugelsternhaufen, der an der Grenze von M7 liegt. Bis ins Zentrum hin aufgelöst. Allerdings schwierig zu sehen, da dass Seeing nicht das beste ist. 280 fach.

Nächstes Objekt ist M8. Da gibt's einfach nicht zu beschreiben :)

Himmel ist offenbar heute nicht so dunkel wie gestern. Im Mittel habe ich mit dem SQM-L 21.57 gemessen. Temperatur +7 °C. Ich fasse schließlich Mut und werfe noch mal einen Blick auf meine Beobachtungsliste. Dort stehen u.a. die "Antennen"- Galaxien.

''NGC 4039 A & B, 23:35 Uhr:'' Bei 280 fach zeigen sich die beiden Galaxien mit etwas mehr als einem halben Dutzend zum Teil stellaren Knoten, vor allem in den Außenbereichen. Das Objekt zerfällt komplett in verschieden helle Bereiche. Einzig die Gesamtform scheint noch an die "Antennen-Galaxien" zu erinnern. Die Antennen lassen sich bei indirekter Beobachtung Blickweise etwa auf einer Galaxienlänge verfolgen. Beginne zwar eine Zeichnung, aber breche diese wiederum ab, da das Objekt zu komplex ist.

Mitunter hänge ich bei den zenitnahen Objekten wie ein Besoffener an der Leiter. Also heute bin ich irgendwie durch den Wind. Also wieder zurück zu einfacheren Objekten.

''NGC 3766 - Pearl Cluster, 0:10 Uhr:'' Schöner offener Sternhaufen. Liegt in der Nähe vom "Running Chicken" Nebel. Form unregelmäßig. Zwei helle rötliche Sterne stechen heraus, die am am Haufenrand stehen. Restliche Sterne weiß beziehungsweise bläulich. Außenbereiche des Haufens gehen in die reiche Milchstraße über.

''IC 2948 - "Running Chicken", 0:15 Uhr:'' Bei hundertfach und maximaler AP als langer relativ heller Streifen parallel zu einer Sternkette sichtbar. Mit UHC-Filter wird schließlich ein sehr komplexer und unregelmäßiger Nebel sichtbar. Erinnert mich irgendwie ein bisschen an den "Pelikan"-Nebel. 

''GUM 39, 0:25 Uhr:'' Großer, ovaler mit UHC-Filter gut zu erkennender Nebel. Keine weiteren Details. Steht in unmittelbarer Nachbarschaft.

''NGC 3372 - Eta Carinae Nebel, 0:30 Uhr:'' Auweia, ich hatte noch den UHC-Filter vom letzten Objekt drin. Was meine Augen erblicken ist unbeschreiblich. Das hat mit dem Bild im Großfeldstecher vor zwei Tagen gar nichts gemeinsam. Es zeigt sich ein komplexer Nebel, der am Nordhimmel vielleicht nur mit dem Orion Nebel vergleichbar ist. Im hellsten Nebelteil ist ein Dunkelnebel eingebettet. Sieht aus wie ein Schlüsselloch. Das ist also der berühmte "Schlüsselloch"-Nebel.
Die hellen großen Nebelteile des Eta Carinae Nebels sind immer wieder durch Dunkelwolken voneinander getrennt.

''NGC 5128 - Centaurus A, 0:50 Uhr:'' Runde bis ovale, helle und relativ große Galaxie. Wird in der Mitte komplett durch ein breites Dunkelband auf der kompletten Länge geteilt. Im Dunkelband selbst wiederum schimmert ein heller Streifen, der parallel zum Dunkelband verläuft, durch. Relativ deutliche Helligkeitszunahme zum Zentrum hin.

Das Seeing ist mittlerweile nicht mehr so gut. Bei 280 facher Vergrößerung wabert es schon ziemlich. 

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''B 86 - "Tintenklecks", 01:18 Uhr:'' Der berühmte Tintenklecks! Bei hundertfach und fast im Zenit stehend, bildet der unregelmäßige, fast rechteckige Dunkelnebel einen herrlichen Kontrast zum ihm gegenüber stehenden offenen Sternhaufen NGC 6520. Dieser ist fast rund und enthält geschätzt mehrere Dutzend in seiner Mehrzahl schwächere Sterne. Einige helle Sterne in Zentrumsnähe stechen hingegen deutlich hervor.

Die Bedingungen scheinen tatsächlich heute nicht so gut zu sein. Das SQM-L bricht ein. Werte um 21.35. An dem in einer Viertelstunde aufgehenden Mond kann es nicht liegen. Denn vorgestern habe ich da noch Werte jenseits von 21.5 gemessen.

''M17 - "Omega Nebel bzw. Schwanennebel ", 01:30 Uhr:'' Zunächst bei hundertfach mit UHC-Filter eingestellt. Der Mond ist zwar bereits aufgegangen, stört aber die Beobachtung kaum. Dann habe ich die Vergrößerung auf 280 fach gesteigert. Der Nebel zeigt sich sehr stark strukturiert und mit dem 120° Okular ist trotzdem der komplette Nebel inklusive seiner schwachen Ausläufer sichtbar. Der hellste Nebelteil, der lang und schmal wie ein Balken aussieht, scheint auf der kompletten Längsseite schräg von Dunkelbändern durchzogen, die dem Nebel seine Struktur gibt.
Am Ende dieses Nebelteils geht schließlich ein halbkreisförmiger Bogen ab, der sich noch mal kühn am Ende des Balkens aufschwingt, um dann eine Art Halbkreis zu bilden, der so etwas wie eine Art Schwanz bildet.

''M4, 01:55 Uhr:'' Bei hundertfacher Vergrößerung zeigt sich der berühmte Kugelsternhaufen mit seinem charakteristischen zentralen Balken. Bei Steigerung der Vergrößerung auf 280 fach ähnelt er eher einem offenen Sternhaufen. Der markante Zentralbalken hat sich dann fast komplett aufgelöst.

Zenitbeobachtungen mit dem Dobson sind ja immer so eine Sache. Aber mit diesem Monstergerät stehe ich notwendigerweise auf einer Leiter und das Bugsieren des Geräts ist nicht einfach.

Und schließlich Saturn: Das Seeing ist leider heute nicht so gut wie gestern und so zeigt sich der Planet zwar ganz passabel, aber so knackscharf wie gestern eben nicht.

So, das war's für heute und so falle ich doch noch zufrieden nach einem Bier um 3:00 Uhr morgens in mein Bett.

[[Weiter zur nächsten Nacht>>|13. Mai 2015 Tivoli]] 

Am Vortag gehen zum Glück die Temperaturen endlich zurück. So wird es endlich am Nachmittag frischer.

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!Es ist richtig bewölkt 

Tja, Pech gehabt. Leider verheißt die Vorhersage auch nichts gutes. Aber so ist das. Kann man nix machen. Heute nachmittag gab es eine kleine Führung von Kai für einen Kollegen, der eine Montierung gemietet hat. Möchte oben auf dem Roque fotografieren. Wir geben Tips.

Es hilft nix. Gegen 21 Uhr steige ich von alkoholfreiem auf normales Bier um. Die Wolken sind so dicht, dass nur Jupiter durchdringt. Die Grillen geben wieder ihr Konzert. 

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!''Der Tag danach...12. September''

So die letzte Nacht war zum vergessen. Hohe Wolken und so dicht, dass man Jupiter gerade so erahnen konnte. Nun gut. Ich stehe früh auf und treffe auf Liliane. Sie ist mit der Gartenarbeit beschäftigt und ich auf dem Weg zum Strand. Ich überlege noch ob ich nach Tazacorte fahre oder hier in der Nähe. Gestern war ich ja schon unterwegs und habe hier im Norden an der Steilküste einige winzige Strände besucht. Das sind Geheimtipps und normalerweise trifft man nur auf wenige Einheimische. Ich erzähle Liliane, dass ich vorhabe schwimmen zu gehen. Sie gibt mir einen sehr guten Tipp zu einer Bucht, die hier in der Nähe liegt. Ich breche schließlich auf und gegen zehn Uhr bin ich tatsächlich dort. Echt einfach und nah! Natürlich braucht man ein Auto aber in einer Viertelstunde ist man dort.

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!La Palma profunda...

Der Abstieg gestaltet sich abenteuerlich. Aber ich mache mir Mut und denke, dass der Aufstieg umso einfacher werden wird. Unten angekommen treffe ich auf ein paar Einheimische, die hier offenbar entweder zelten oder eine kleine Behausung haben. Es gibt am Strand einen kleinen sandigen Abschnitt und ich sehe sofort jemanden der sich auf ein Schwimmtrip vorbereitet. Ich spreche ihn an und tatsächlich mache er sich gerade warm, um in Richtung Nachbarstrand aufzubrechen. Er hat natürlich das perfekte Equipment dabei, während ich idiotischerweise mit einer schwarzen Badekappe und sonst nichts am Wasser stehe. Er mahnt mich, dass hier Bote durchkämen und ich ohne entsprechende Signalboje nicht gesehen werden würde und dies ohne schon ein bisschen gefährlich sei. Er bricht auf und ich schaue ihm hinterher. Dann gehe ich hinterher und schwimme in Richtung offenes Meer. Genial! Hin und wieder spüre ich ein leichtes brennen am Arm, dann am Fuß und an den Händen. Das kenne ich. Später berichtet mir der Schwimmer, dass er abgebrochen habe wegen der „Quallen“. Diese führen bei Berührung zu unangenehmen brennen wie bei Brennnesseln. Mich haben auch einige erwischt und deswegen schwimme ich zum Strand zurück und mache die gleiche Strecke noch mal. Ich komme insgesamt auf 1.5 km. Der Kollege erklärt mir dann noch, dass diese Strände nur im Sommer begehbar und beschwimmbar seien. Im Winter würde es hier noch nicht mal Sand geben sondern nur Geröll. Die Wellen seien dann viel höher und schwimmen praktisch unmöglich. Mir jedenfalls hat die Bewegung sehr gut getan.

Beim Aufstieg von der Bucht zurück zum Parkplatz fängt es tatsächlich an zu tröpfeln. Später in höheren Lagen dichter Nebel und Nieselregen. Das ist aber typisches Wetter auf La Palma und insbesondere im Frühherbst. Kein Grund zur Beunruhigung. Hauptsache die hohen Wolken verschwinden wieder.

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Am Nachmittag hüllt sich die Landschaft in dichten Nebel. Doch am Abend klart es auf. Selbst auf dem Roque liegt die Luftfeuchte bei 70%. Es ziehen noch hohe Wolken durch. Aber morgen soll es gut werden. Ich habe heute wieder den 25 Zöller. Das Seeing ist gut, denn Jupiter zeigt ordentlich Details. Alle Sterne stehen - mit bloßem Auge betrachtet - still. Die Temperaturen sind jetzt nur noch bei 14° C. Was ein Unterschied zu vorgestern, wo wir 26° C hatten.

Erstes Objekt ist M13. Quasi Firstlight mit dem 25 Zöller alleine. Nicht besonders berauschend, denn die hohe Bewölkung dimmt M13 ungemein.

!Jupiter

Jupiter zeigt einen Transit. Das Seeing ist Spitze. Der Spiegel war nur noch nicht richtig ausgekühlt. Die hohen Wolken ziehen ab, aber dann steigt Nebel auf und es zieht komplett zu. Mist! kenne ich. Hochfahren auf den Roque wäre besser gewesen. 

Nach einem Kaffee klart es wieder auf. Erstes ernsthaftes Objekt ist K1-14. Nix zu sehen trotz 25 Zoll. Das liegt daran, das ich an der falschen Stelle unterwegs bin, was sich aber erst bei der Nachbeobachtung am Folgetag zeigt. 

Auf dem Roque ist alles frei aber dort ist es sehr windig. Und mit 8° Grad recht frisch für die Jahreszeit. 
Tja, was jetzt? Abbauen? Warten? Ich warte noch etwas ab. Aber die Prognose verheißt nix gutes. Morgen muss ich fit sein, denn dann sind die Bedingungen gut!

!Mars

<div class="tc-link-info-item" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/5Y0176" title="Mars 2020"><img src="https://live.staticflickr.com/65535/50336477783_42b36bc01e_m.jpg" alt="Mars 2020"></a>Einzelbild mit ca. 1/320 s belichtet bei 800 ASA.</div>

War schon drauf und dran abzubauen. Habe die Zeit mit Essen überbrückt. Leichter Wind kommt auf! Ich stelle Mars ein. Hammer! Feine Strukturen auf dem Planeten zu erkennen. Sinnvoll lassen sich heute 418x einsetzen. Die Polkappe ist versetzt und liegt so, dass man sie komplett erkennen kann. Oval mit ausgefranstem, schwarzen Randstrukturen. Etwas abgesetzt sehr schöne, feine Albedostrukturen und Richtung Osten, fast am Rand das Terra Sirenum als prominentestes Gebiet erkennbar. Auf dem nördlichen Polrand ebenfalls blaue Wolken zu erkennen, aber nur wenn das Seeing stimmt. Uff! Das Marsbild zeigt insgesamt noch eine kleine Phase aber man sieht, das die Opposition nicht mehr weit ist.

Zum Glück hatte ich einen Graufilter dabei, denn das Bild ist viel zu hell. Kann mich kaum losreißen. Der Mars hat die Nacht gerettet, auch wenn ich eigentlich noch Einstein‘s Kreuz versuchen wollte. Ohne Nachführung eher schwierig, wenn nicht gar unmöglich. Muss warten.

Hier fangen die Hähne schon an zu krähen. Dann ein riesengroßes Hundegejaule. Was die sich wohl alle zu sagen haben? Ich werfe noch mal einen Blick auf den Mars. Den letzten, bestimmt!

[[<< Zurück zur vorangegangenen Nacht|10. September 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|13. September 2020 - La Palma]] 

Objekt: 12P/Pons-Brooks, Teleskop: 21" f/3.8 Newton, Vergrößerung: 100x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[08.03.2024|8. März 2024 - Lange Rhön]] um 20:15 Uhr MEZ

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Hier zwei Fotos zu den Teleskopen: Rechts bzw. oben der selbstgebaute 10 Zöller von Roberto. Links bzw. unten mein 14 Zöller.

Wieder Bonilla. Tagsüber hervorragende Transparenz. Calima ist verschwunden. Heute sind die Temperaturen sehr angenehm. Das heißt nachts wird es kalt. Die Vorhersage ist alles andere als gut. Aber wir haben Glück. Nach dem Abzug von Flugzeugspuren ist es klar.  Es wird 10 Grad Celsius kalt. Die SQM-L Werte klettern von 21.3 auf 21.56.


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![[Lundstrom-Stenholm-Acker 1 - LSA 1]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{Lundstrom-Stenholm-Acker 1 - LSA 1}}

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Wir beginnen erstmal mit Saturn. Seeing ist mal wieder hervorragend. Belohnt werden wir mit atemberaubenden Bildern von Saturn. Ein Zeiss 6mm Ortho von Roberto liefert die besten Bilder. Dabei wurde das Gerät mit seinem Laser kollimiert. Ich brauche jetzt auch so einen, denn mein China Teil liegt total daneben.

Es folgt der Tintenklecks und dann der "Snake"-Nebel. 

Dann NGC 6369. Tip von Roberto. Kleiner Rauchring. Miniaturausgabe von NGC 6781. Nördlich wie dieser diffus auslaufend. Im Gegensatz zu diesem aber viel kleiner und Ringform besser definiert.

''LSA1, 0:30 Uhr:'' Kleiner, runder Nebel, der stark vergrössert werden kann.  Bei 430 fach keine Strukturen oder Zentralstern. Reagiert gut auf OIII. Ist aber nicht nötig, da Nebel hell genug ist. 

Da muss man wohl noch stärker vergrößern.

Abell 2 im 10 Zöller. Recht einfach. Auch ohne Filter. Dann etwas unschlüssig. Schließlich folgt IC 349. Bei ca. 800 fach ein einfaches Objekt. Ovaler Geist neben Merope. Recht einfach.

Im Fernglas sind die hellsten Nebelteile der Plejaden auch gut zu sehen. M33 ist direkt erkennbar. 

Das Zodiakallicht steigt im Osten auf. Die Lichtbrücke ist erkennbar. Ich versuche das Ganze zu zeigen und zu erklären. Roberto ist begeistert. Roberto packt um 05:00 Uhr zusammen. Ich halte bis zur Dämmerung noch eine halbe Stunde durch. M33 ist mein Ziel. Wunderschöne Strukturen werden sichtbar. Einfach nur zum genießen. Bin vollends zufrieden mit dieser Nacht. Auf dem Rückweg werden dann hohe, dichte Zirren sichtbar, die sich auch bei uns in der ersten Nachthälfte im Süden aufhielten, aber nicht weiter störten. Wir hatten wohl das Glück, dass sie uns nicht kreuzten, sonst wäre die Nacht wohl ein Reinfall geworden.

 [[Weiter zur nächsten Nacht >>|15. August 2015 - Bonilla]]

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Neben der Astronomie gibt es natürlich auch das Farmleben. Es ist heute den ganzen Tag bewölkt. Heute Nacht voraussichtlich auch.

Ich laufe ein wenig umher und treffe auch auf Hubertˋs Beobachtungsplattform, die sich draußen im Feld befindet.

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Nach dem Frühstück schauen wir uns den Hypergraphen an.

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Am Nachmittag um Punkt fünf Uhr geht es los zum Sundowner. Es geht auf eine Düne, die etwa 16 km entfernt auf einer Nachbarfarm liegt. Die Düne ist seit Jahrmillionen ortsfest, da zum Teil bewachsen. Man kann diese sogar bei Google Earth erkennen. Den Sonnenuntergang sehen wir aufgrund der Bewölkung leider nicht. Aber die schmale Mondsichel.

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Das oben stehende Foto ist von Stefan Griesing. Die Nacht ist wieder mal zum Vergessen. Hohe Schleierwolken und dann auch noch kompakte tiefere kommen dazu. Ich schaue nur kurz bei Stefan M4 an und versuche mit dem Feldstecher die Sternenwolken im Schützen abzugrasen, aber irgendwie sehen sie mau aus. Um ein Uhr ist dann definitiv Schluss.

[[<<Zurück zur vorangegangenen Nacht|12. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|14. August 2018 - Tivoli Astrofarm]]

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Wieder Wassertank. Unten ist es weiterhin Mega diesig, Calima halt. Hat heute noch mal deutlich zugenommen. Als ich auf die Wetterseite der Profis schaue scheint die Durchsicht scheint gut zu sein. Allerdings wird auch hier ein hoher Staubwert angezeigt. Ich denke das passt nicht zusammen und muss ein Fehler sein, denn sonst wäre der stahlblaue Himmel, der auf den Fotos zu sehen ist unmöglich. Wie auch immer kurz vor der Abfahrt schaut Kai noch mal vorbei und sagt, dass es noch drei Tage so weitergehen soll. Er verweist mich auch auf die Tatsache, dass es oben auch nicht besser sein soll, was das Thema Calima anbetrifft. Ich glaube ihm natürlich nicht, denn ich weiß es ja mal wieder besser besser. Leider breche ich viel zu spät auf, so dass ich in der Dämmerung erst ankomme und dann nicht mehr genau erkennen kann, was Sache ist. Aber im Gegenlicht kann ich auch hier erkennen, dass die Bäume, die etwas entfernt sind, von einem Dunst umgeben sind. Nun gut es ist wie es ist. Später als es dann richtig dunkel ist, kann ich dann auch am Himmel sehen, dass dieser total seifig ist. Das SQM spuckt Werte um 21.4 aus, das SQM-L 21.5, wo gestern 21.8 standen. 

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![[IC 349]]

Jetzt mit etwas Übung, werde ich zu einem Virtuosen im Thema Nachführen und Randabdeckung von hellen Sternen, in diesem Fall Merope. Jetzt kann ich auch wirklich effektiv mit Durchläufen immer wieder für ein paar Sekunden, den Nebel beobachten. Er scheint tatsächlich im Innern dunkler zu sein und bildet im Prinzip eine Art Halboval, dessen Kanten relativ gut zu erkennen sind. Hin und wieder scheint es vor allen Dingen auf der westlichen Seite einen helleren Abschnitt zu geben. Auch ein sternförmiger Knoten ist hin und wieder an der Spitze beziehungsweise leicht versetzt dazu zu erkennen. Später jedoch kann ich ihn nicht immer erkennen.

Im Kontext meiner Beobachtung aus der Rhön heraus, muss ich mittlerweile sagen, dass ich die Form und die Position bereits dort offenbar vermutet hatte. Aber es bleibt einfach festzuhalten, dass für ein sicheres Erkennen Merope außerhalb des Gesichtsfeldes platziert werden muss. Habe bereits vor vielen Jahren IC 349 mit dem 14 Zöller gemacht, allerdings bin ich mir heute nicht mehr sicher, ob es sich wirklich um eine sichere Beobachtung handelt. Denn bei der Verwendung des Ethos 3.7 mm muss man tatsächlich sagen, dass beim Durchlauf an bestimmten Position Reflexe auftreten können. Möglicherweise wurde damals einfach der Nebel nur vorgetäuscht. Das kann ich aber heute nicht mehr genau sagen. Vielleicht war es auch nicht so, ähnlich wie ich bereits die Form des Nebels in der Rhön bei einer Beobachtung vor einiger Zeit offenbar korrekt gesehen hatte. Wie auch immer die beste Regel ist, Merope muss aus dem Gesichtsfeld raus!

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Mittlerweile bin ich auch „short“ mit Beobachtungobjekten. Denn die Liste, die ich mir vorgenommen habe, ist mittlerweile durch. Es gab einfach zu viele klare Nächte. Heute ist natürlich auch nichts für extrem schwache Objekte, da wie gesagt, der Himmel aufgehellt ist. Fotografieren macht leider auch nicht so viel Sinn, denn gestern war es phänomenal klar und da habe ich wirklich gute Aufnahmen gemacht. Leider sind einige doch vom Fokus nicht optimal gewesen. Könnt mich in den Arsch beißen. Aber heute werde ich die nicht nachholen bei diesen halbgaren Bedingungen.

Ich schau mir kurz Jupiter an und muss feststellen, dass das Seeing ziemlich gut ist. 

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:5px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/n5294p628g" title="DSC09100"><img src="https://live.staticflickr.com/65535/53420809595_6b1e4ce12e_h.jpg" alt="DSC09100"/></a>Die Aufnahme stammt von der vorangegangenen Nacht, aber praktisch jede Nacht war die Wintermilchstraße sehr gut zu sehen wie auf diesem Foto. Sogar der Gegenschein ist oberhalb des Orions und links neben den Hyaden inmitten der Wintermilchstraße zu erkennen.</div>

![[Sh 2-155 - Höhlennebel]]

In Sky Safari, quasi als Notobjekt identifiziert und eingestellt. Leider muss ich feststellen, dass dieses Objekt recht schwierig ist. Dennoch kann ich den sogenannten „Höhlennebel“ - wenn auch schwer - erkennen. Am besten wird er bei Übersichtsvergrößerung oder etwa hundertfach unter Nutzung eines UHC-Filters sichtbar. Letztendlich sieht man die helleren Kanten des Nebels, die zum Teil diffus auslaufen. An einer Stelle ist ein recht gut erkennbarer, leichter ovaler Knoten zu erkennen, der sogar ohne Filter bereits sichtbar ist. Dieser scheint auch der hellste Teil des Nebels zu sein. Von hier aus setzt sich ein hellerer Bogen, der allerdings recht schwierig am Anfang zu beobachten ist, da er recht nah an verschiedenen hellen Sternen vorbeigeht, um dann im sternarmen Gebiet zu enden, wo er gerade so indirekt ganz knapp gehalten werden kann. Insgesamt gute Beobachtung, wenn auch recht schwer! 

![[NGC 7635 - Blasennebel]]

Heute noch mal eingestellt und ich versuche ob man die Blase auch geschlossen sehen kann. Das habe ich zwar gestern auch probiert, aber vielleicht bin ich ja heute besser drauf. Aber man kann leider keine geschlossene Blase sehen. Schätze mal Verlauf ist ungefähr 180°, also quasi als „Halbkreis“ zu erkennen. Bei niedriger Vergrößerung fällt mir allerdings auf, dass nahe eines recht hellen Sterns ein Nebelbalken zu erkennen ist. Darüber hinaus gehen weitere diffuse Nebelteile in das umliegende Sternfeld ab, wobei diese an einer Seite sogar noch mal in einen helleren, diffusen Fleck münden. 100x und UHC.

!Kr 2-1 = [[GN 03.47.9]]

Vor ein paar Tagen zufällig [[im Netz|https://www.deepskycorner.ch/obj/kr2-1.en.php]] gefunden. Sah interessant aus und deswegen auch angefahren. In Sky Safari nicht vorhanden. Deshalb musste ich mir eine Sternkarte selbst aus Aladin ziehen. Vor ein paar Tagen bereits versucht, das Objekt aufzusuchen, aber irgendwie gescheitert. Heute hat es zum Glück geklappt und es zeigt sich an der richtigen Stelle ein dreieckiger Nebel, der als Fahne von einem recht schwachen Stern abgeht, bei dem ein schwächerer Stern in direkter Nähe steht und diesen mit der Nebelspitze knapp überragt. Es scheint so, dass im Zwischenraum eine helle Nebelkante als kurzer Viertelkreisbogen zu erkennen ist. Hübsches Objekt! Kann insgesamt auf 351x vergrößert werden, wenngleich dies auch quasi für den 20 Zöller die Höchstgrenze darstellt. Der Nebel kann dann indirekt noch sicher gehalten werden.

![[NGC 2903]]

Sehr hell schon bei Übersichtsvergrößerung. Hier ist auch schon direkt zu sehen, dass es sich hier um eine Balkenspiralgalaxie handelt. Kann bis auf 351x vergrößert werden. Aber optimale Vergrößerung ist am 20 Zöller etwas weniger in meinem Fall 215x. Es zeigt sich ein diffuses, aber helles Zentrum mit einem hellen Balken, der unterschiedlich helle Segmente hat. An diesem setzen Spiralarme an, genauer gesagt, jeweils zwei. Sie verlaufen gegensätzlich, wobei die inneren heller und kürzer erscheinen, bevor sie in den Galaxienkörper übergehen. Die äußeren kann man länger verfolgen, bis auch sie schließlich in den Außenbereichen nicht mehr erkennbar sind. Interessant ist auch ein Spiralarm, der kurz neben dem Zentrum abgeht und das Zentrum einmal umfasst. Darüber hinaus ist die Hintergrundgalaxie, UGC 5086 zu erkennen, wenn auch extrem schwer.

![[NGC 4173 - The Box|HCG 61 - The Box]]

Ich stelle dem Galaxienquartett noch mal einen Besuch ab, denn ich möchte ein Detail in NGC 4173 nachschauen. Tatsächlich scheint es, dass der südliche Teil etwas heller ist und die Galaxie nach Nordwesten hin an Helligkeit stetig abnimmt, bis sie mit dem Himmelshintergrund verschmilzt. Die südöstliche Seite hingegen ist recht gut begrenzt und kann vom Himmelshintergrund gut abgegrenzt werden. 

Jetzt weiß ich auch, warum mir so kalt ist. Mittlerweile hat es nur noch +7 °C aber natürlich bei einer Luftfeuchtigkeit von unter 20 %. Das macht die Sache natürlich relativ angenehm. Aber trotzdem sind jetzt Winterklamotten Pflicht. Stiefel habe ich zwar dabei aber nutze ich noch nicht. Für mich war das jetzt das letzte Objekt und ich fahre heute mal etwas früher. Mittlerweile ist es aber dennoch fast vier. Aber auf jeden Fall habe ich noch mal vor unter dem Nachthimmel zu frühstücken, bevor ich ins Bett gehe. Heute sollen tagsüber hohe Wolken durchziehen, die aber bis zum Abend hin verschwinden sollen. Dann erwartet uns eine weitere, klare Nacht, wie stark der Calima dann sein wird, werden wir sehen. Wahrscheinlich fahr ich dann heute noch mal hier hoch und übermorgen wird die letzte Beobachtungsnacht sein. Letzte SQM-Messungen: ohne Linse 21.31, mit 21.48. Krass. Fast Rhöner Himmel, allerdings unter sehr guten Bedingungen. Visuell, würde ich allerdings beim Anblick der Wintermilchstraße direkt sagen, dass dieser Himmel deutlich besser ist. Aber wie das zusammenpasst ist mir bis heute nicht ganz klar klar, obwohl ich das auch schon öfters beobachtet habe.

Unten, glaube ich, habe ich das ganze jetzt gelöst. Denn ich sitze beim frühstücken und es ist erstaunlich, welche Lichtglocken sich hier auftürmen nur wegen ein bisschen Sand in der Luft. Oben hingegen hat es keinen. Es war doch ein Messfehler! Der Himmel hier unten ist deutlich schlechter. Die Wintermilchstraße ist total ausgewaschen und kaum zu erkennen. Das ist echt der Rhöner Himmel. Ich vermute, dass der Himmel oben trotzdem heller als sonst war, da die Lichtverschmutzung jetzt natürlich evident ist. Auch hier gibt es sie. Man kann ihr aber relativ gut entfliehen.

[[<< Zurück zur letzten Nacht|12. Dezember 2023 - Wassertank]] | 
[[ Weiter zur nächsten Nacht >>|15. Dezember 2023 - Wassertank]]

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25396620947/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4668/25396620947_809e3c2fdc_c.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Radom im Wiederschein des Skilifts „Märchenwiese“.</div>

Ich bin wieder viel zu spät losgefahren, komme aber dennoch zur astronomischen Dämmerung pünktlich an.  Mein Beobachtungsplatz ist verschneit. Aber dennoch wage ich die riskante Weiterfahrt. Natürlich bleibe ich dann im Schnee stecken und guter Rat ist teuer. Kein vor und zurück. Nichts geht mehr. Mit Fußmatten und einer Decke versuche ich wieder frei zu kommen. Dann nähert sich über den Waldweg ein Auto. Mein Gott bin ich froh! Der Kollege will kurz ein paar Fotos machen und rät mir weiter zu fahren, zu wenden und es wieder zurück zu versuchen. Er fährt weg, um schnell ein Abschleppseil zu holen. Da er in der Nähe wohne, sei das kein Problem. Während er unterwegs ist, versuche ich es noch mal und folge seinem Rat. Ich kann mit etwas Mühe wenden und komme den Weg wieder zurück. Geschafft. Ich parke draußen und hole meine Kamera. Dann gehe ich wieder an den Platz zurück und schieße ein paar Fotos. Der Kollege kommt zurück und ist auch schon wieder weg. Ich bedanke mich und genieße die herrliche Winterlandschaft. Leider ist es gefährlich kalt und windig, so dass mir sogar schnell die Stirn weh tut. Ich flüchte ins Auto. Vorher habe ich ein paar SQM-L Messungen gemacht und festgestellt, dass der Himmel sehr hell ist: 20.73. Der nahe Skilift ist noch in Betrieb und er ist nicht der einzige. Später erkenne ich, dass auch Zirren unterwegs waren. Ich esse im Auto und warte darauf, das der Skilift abgeschaltet wird und das Flutlicht auch. Es klopft an der Scheibe. Ein Mann. Er bittet mich ihm zu helfen. Ok. Soll Geräusche hören. Der „Standbremsenmotor” sei „links” eingefroren. Die Diagnose soll ich bestätigen, indem ich lausche während...Keine Ahnung. Glaube es nicht. Und erkläre sowas noch nie gehört zu haben. Dann funktioniert es doch: Handbremse löst sich wohl wie man es erwartet. Der Mann ist baff. Hat schon den ADAC alarmiert. Nun fährt er davon. Und lässt mich sprachlos zurück. 🙄

Am Radom ist es sehr windig. Heftig oder „Schneefegen“ wie die unweit entfernte Wetterstation meldet. 

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25397355117/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4766/25397355117_d0e12be27f_c.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Beobachten auf dem Parkplatz.</div>

Ich werde schließlich fündig auf den Parkplätzen am Südhang. Das SQM-L steigt auf 21.44. Die Skilifte sind jetzt aus. Krass was Lichtverschmutzung ausmacht. Der Wind weht böig mit wenigen Pausen. Erstes Objekt ist das [[OdM Februar 2018 im astrotreff.de|http://www.astrotreff.de/topic.asp?TOPIC_ID=220717]]. 

[[NGC 2261 - Hubble's Veränderlicher Nebel|NGC 2261 - Hubble's Veränderlicher Nebel mit 14 Zoll]]: Recht heller Nebel, der schon bei 65 fach gut zu erkennen ist. Ausgehend von einem Stern zeigt sich eine Fahne, welche die Form eines Wimpels hat. Kanten sind heller, westliche Seite ist deutlich prominenter und mit 3-4 Knoten versetzt. Läuft breit aus. Die andere Seite hingegen ist durch eine helle, fast strichförmige Kante charakterisiert. Dazwischen, im Inneren neblig aber schwächer.

Erstaunlich, dass ich dieses Objekt zuvor nicht beobachtet hatte. Das SQM-L zeigt mittlerweile Werte um 21.6 an. Nicht schlecht.

[[NGC 2683]]: Sehr helle Galaxie bei 65 fach. Kann bis auf 430 fach vergrößert werden. Dann zeigt sich eine spindelförmige Galaxie, die blickweise immer wieder ein körniges, lang gezogenes Zentrum zeigt. Abseits davon bauchiger,  unsymmetrischer Bulge, der recht prominent wirkt. Im Anschluss wird der Galaxienkörper deutlich diffuser. Zu den Enden hin spitz zulaufend. 

Autos kommen jetzt keine mehr vorbei. Zum Glück. Das Donnern der Schneekanonen ist neben dem Wind das einzige Geräusch.

[[NGC 2903]]: Ebenfalls helle Galaxie mit sehr hellem Zentrum. Aber nicht sternförmig. Balkenspirale. Kann bis auf 290 fach ohne Probleme vergrößert werden. Es zeigt sich ein helles ovales Zentrum in mitten eines Balkens. An den Enden des Balkens kurze gegensätzlich orientierte Bögen. Einer davon enthält zwei Knoten. Weitere schwache Spiralarme mit weiteren Knoten angedeutet.

SQM-L jetzt bei 21.67 im Zenit, wo der große Wagen thront. Und -8 °C.

''UGC 10214 - Tadpole Galaxie'': Unscheinbare Galaxie, die aber schon bei 114 fach sicher erkannt werden kann. Bei 290 fach zeigt sich ein helles, fast stellares Zentrum sowie ein zigarrenförmiger beziehungsweise spindelförmiger Galaxienkörper. Sonst keine Details zu sehen.

Das Seeing wird immer schlechter. Der Wind weht in Böen, die aber ganz gut auszuhalten sind. Nur immer wenige Minuten windstill. Gegen 3:00 Uhr packe ich zusammen und bin etwa eine Stunde später im Bett.

Am darauf folgenden Morgen ist der Himmel sehr, sehr transparent. Unglaublich. Würde schätzen unter Berücksichtigung des niedrigen Sonnenstandes, dass er ähnlich transparent wie der auf La Palma vor einem Monat ist. Unglaublich! Der Nachthimmel war es gestern Nacht nicht, auch wenn Spitzenwerte von 21.67 erreicht wurden. Er war aber so gut wie ich ihn noch nie im Winter hier oben gesehen habe. Leider sind solche Nächte hier viel zu selten.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/39371102585/in/photostream/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4609/39371102585_ac8c06fb5e_h.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Y129pN" title="Untitled"><img src="https://live.staticflickr.com/65535/50943344131_fa3c80f0b4_h.jpg"></a>Winterlandschaft am Schwarzen Moor in der Langen Rhön.</div> 

Ende November hatte ich leider einen Unfall mit dem Fahrrad. Dabei habe ich mir einen komplizierten Bruch des Ellenbogens zugezogen inklusive stationärem Krankenhausaufenthalt und Operation. Dies ist die erste Beobachtungsnacht danach und ich bin wirklich froh, dass das Ganze gut verheilt, denn das war leider nicht selbstverständlich. Im Gegenteil. Aber jetzt bin ich froh, dass ich alles gut bewegen kann und vor allem auch belasten.

Im Winter hatten wir viel Regen und sogar Schnee. Phasen von mildem und kälterem Winterwetter haben sich immer wieder abgewechselt. Nun ist schon Februar und alle hoffen auf den Frühling. Doch der Winter dreht noch mal richtig auf und es sind Nächte mit -18 °C angekündigt. Zum Glück ist der Wind kein Thema, sonst könnte man vermutlich überhaupt nicht beobachten. Kann mich auch praktisch kaum erinnern, bei so tiefen Temperaturen je beobachtet zu haben. In Spanien habe ich 2019 [[eine Nacht bei -8 °C ausgeharrt|03. Januar 2019 - Muela de San Juan]] aber 4° C weniger sind natürlich auch noch mal was spezielles. Leichte Minustemperaturen sind auch in der Rhön nicht so selten, aber Temperaturen unter -12° C hingegen schon.

Die Woche über habe ich abgewartet, denn die Straßenverhältnisse waren natürlich nicht besonders gut. Jetzt vier Tage später hat sich die Lage beruhigt. Heute ist Samstag und bereits gestern gab es eine teilweise klare Nacht auf der Wasserkuppe. Ich hielt mein Pulver aber trocken und breche heute bei optimalen Bedingungen auf.

Mit im Gepäck habe ich heute ein neues Okular, das APM 20mm. Nicht, dass ich ein 20 mm Okular unbedingt bräuchte, aber es füllt eine schon lange bestehende Lücke zwischen dem 25 mm und dem 14 mm, beides 100° ES Okulare. Die Lücke war es mir auch nicht wert, sie mit einem teuren Exemplar zu füllen. Aber 100° waren mir schon sehr wichtig. Der Beobachtungseindruck ist einfach gigantisch bei solchen Okularen.

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Kw4q41" title="Untitled"><img src="https://live.staticflickr.com/65535/50943183261_e1f9f9c93f_k.jpg"></a>Blick von der ehemaligen innerdeutschen Grenze rüber zur Wasserkuppe. </div>

!Es geht in die Lange Rhön 

Ich habe vor in der Langen Rhön zu beobachten. Man braucht ja schließlich einen Platz, der im Winter möglichst geräumt ist. Deshalb mache ich mich zunächst zum Schwarzen Moor auf. Dort angekommen herrscht einiges an Trubel. Hier wird Langlaufski gefahren und der Hüttenwirt hat auch wieder geöffnet. Ich biege deshalb zunächst erst mal ab Richtung Thüringer Hütte, muss jedoch circa ein Kilometer km weiter bei der Abfahrt nach Hausen feststellen, dass die Hochrhönstraße in diesem Bereich nicht geräumt ist und stattdessen eine Straßensperre die Weiterfahrt verhindert. Ich biege erst mal nach Hausen ab, um dann doch wenig später zu wenden und zurück zum Schwarzen Moor zu fahren. 

Leider ist der Parkplatz nur teilweise geräumt. Insbesondere der Teil, wo vor Jahren der Wald gefällt worden ist, ist es nicht. Nur dort gibt es eine gute Rundumsicht. Es ist auch ein Trecker unterwegs, der aus diesen Teil liegengebliebene Autos 🚘 abschleppt. Hier kann ich also heute nicht bleiben. Aber zunächst möchte ich zu fuß zur Grenze spazieren und ein Blick auf die benachbarte Wasserkuppe werfen. 

Die Landschaft präsentiert sich traumhaft. Kann mich praktisch nur an meine Kindheit im Harz an so viel Schnee erinnern. Es ist absolut windstill. Hin und wieder saust ein Ski Langläufer an mir vorbei. Ich genieße den Sonnenuntergang hier und sehe einen Erdschatten aufgehen, den ich so in der Rhön noch nie gesehen habe. Absolut kräftig von den Farben her; rötlich, nach rosa und blau übergehend, so wie er sein muss. Die Luft muss absolut klar sein!

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/m865cj" title="Untitled"><img src="https://live.staticflickr.com/65535/50943745772_bd43b9ef35_k.jpg"></a>

!Zurück zur Wasserkuppe

Als es schließlich dunkler wird, gehe ich zurück zu meinem Auto und fahre zur Wasserkuppe rüber. Dort sondiere ich zunächst die Lage am Parkplatz „Fuldaquelle“. Er liegt am Südhang und man kann hier sogar nachts noch relativ ungestört beobachten. Heute hat sich nur ein Camper hier aufgestellt, der Rest des übrig gebliebenen Volkes verzieht sich. Ich beobachte noch von hier aus wie der Mond 🌜 untergeht und mache mich dann schließlich auf, um auf der anderen Seite die Lage zu checken. Hier ist der Parkplatz nicht so gut geräumt, aber dafür finden sich kaum Leute. Auch hier gibt es zwei Camper, allerdings ist der Parkplatz so groß, dass man an dessen Ende praktisch heute ungestört ist. Lediglich die Tatsache, dass der Parkplatz abschüssig ist lässt mich den Mut verlieren, dass ich heute das Teleskop hier werde aufbauen können. 

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0PpHZW" title="Untitled"><img src="https://live.staticflickr.com/65535/50982415846_323c9507e1_h.jpg"></a>Lang belichtete Einzelaufnahme mit STC-Multispectra Lichtverschmutzungsfilter. Der Himmel ist gut, was man an der strukturierten Wintermilchstraße auch gut erkennen kann. Dennoch ist die Lichtverschmutzung gewaltig. </div>

Zunächst möchte ich aber in der Umgebung rumlaufen und ein paar Fotos machen. Hier ist die Landschaft so stark verschneit, dass selbst Wander- und Zufahrtswege komplett verschwunden sind. Ingesamt zeigt sich die Wasserkuppe in einem tief winterlichen Gewand, dass es so vermutlich die nächsten Jahre nicht mehr geben wird und vor Corona auch nicht gab. Bereits um 19:30 Uhr ist es dunkel, keine Skipisten werden beleuchtet und es sind auch kaum Menschen unterwegs. Die Temperaturen sind bereits auf -10 °C gefallen. 

Ich packe zunächst eine Kamera und ein Stativ und mache mich auf den Weg durch ein kurzes Waldstück zu meinem Stammplatz. Ich laufe an einer Weggabelung vorbei, denn hier sind die Wege komplett verschwunden. Ich tapse durch den tiefen Schnee, der kleine Knallgeräusche macht. Ich komme am Platz an und erkenne ihn kaum wieder. Die schützenden Baumreihen sind verschwunden. Die Bäume weg bzw. der Rest einfach abgeschnitten.

Ich streife weiter über das offene Feld und der Himmel überwältigt mich. Der Schnee verleiht der Umgebung ein helles Ambiente, so dass ich die rote Stirnlampe gar nicht benötige. Mit dem einsetzenden Wind beginnt es zu knistern. Ist da doch jemand? Neh. Es sind die vereisten Bäume 🌲 , die sich vermutlich im Wind wiegen.

Ich drücke mich in der Landschaft rum und mache Aufnahmen. Dazu muss ich sogar noch mal zum Auto zurück, denn insgesamt habe ich mehrere Kameras und zwei Stative. Mitten drin genieße ich das Ambiente und lege mich auf den Boden, um den Sternenhimmel zu betrachten. Die Praesepe oder M44 fällt mir dabei sofort ins Auge.

Im Gegensatz zum letzten Frühjahr muss ich allerdings feststellen, dass der Flugverkehr wieder deutlich zugelegt hat. Hin und wieder sind Maschinen unterwegs und ziehen über den gesamten Himmel hinweg. 

So verbringe ich mit herumlaufen und genießen einige Stunden und gegen Mitternacht stellt sich schließlich die Frage, ob es jetzt nach Hause zurückgeht oder ich doch noch mal den Dobson aufbauen soll. Natürlich aufbauen! Oder doch nicht?

Erstmal eine Pause machen und im Auto Tee 🫖 trinken! Die Brote sind komplett gefroren und kaum essbar. Die „Eisbanane“ ist als Desert wirklich interessant. Nach einigem hin und her baue ich auf. Schließlich möchte ich ja auch das neue Okular testen.

<div class="tc-link-info-item-flex-50" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/vUWU52"><img src="https://live.staticflickr.com/65535/50943477572_c9a128b079_h.jpg"></a>First Light meiner neuen astromodifizierten Sony A6000. Bei -10° C ist Farbrauschen kein Thema. Dafür ist der Akku im Nu alle.</div>

Ursprünglich hatte ich vor, die gesamte Nacht zu bleiben. From „Dusk till Dawn“. Wie naiv von mir! Ich halte aber leider nicht lange durch...

!!Firstlight des 20mm APM 100°

Der Himmel ist für den Winter gut. M35 ist mit bloßem Auge einfach zu erkennen und wird somit zum „First Light“. Am Okular gibt es nichts offensichtliches auszusetzen. Verhält sich wie mein ES 14 mm vom Handling. Bereits bei dieser Brennweite zeigt sich, dass das Seeing nicht besonders gut ist, denn die Sterne flackern. Bin froh über die Ergänzung in Form des 20mm, insbesondere auch über den günstigen Preis. Ich schau mir dann ein paar Galaxien im Löwen an: die Gruppe um M105 sowie M68. Der Himmelshintergrund ist natürlich hell. Aber trotzdem sind die Galaxien sehr gut zu erkennen. Ich entschließe mich schließlich, die Galaxie Holmberg II zu beobachten, die praktisch schon im Zenit steht.

<<<

[[Holmberg II]]: Schon bei 20 mm an der richtigen Stelle als heller Nebel sichtbar. Steigere die Vergrößerung schließlich auf 114 fach beziehungsweise 168 fach. Die Galaxie wird dabei nicht zu dunkel. Es zeigt sich schließlich ein irregulärer Nebel um ein recht helles Sterndreieck. Westlich dieses Dreiecks relativ hell, diffus auslaufend. Östlich davon hellere, definierte Kante. Weitere Strukturen trotz geduldiger Beobachtung nicht auszumachen. Inneres des Dreiecks scheint fast komplett dunkel. Erinnert ein wenig an verschiedene galaktische Nebel. Ist aber eine Galaxie. Insgesamt für kleinere Geräte auch schon sehr lohnend.

<<<

Ich mache schließlich auch eine Zeichnung und muss feststellen, dass die Temperaturen wirklich extrem sind. Ich kann das Buch, in dem ich zeichne, nach ein paar Minuten nicht mehr halten, denn meine Finger drohen „einzufrieren“. Mittlerweile ist auch alles von einem fetten Eispanzer überzogen, insbesondere grobem Eisgranulat am Fangspiegel. Ich denke, hier muss heute Schluss sein. Es ist mittlerweile 2:30 Uhr durch. Und ich packe alles zusammen und mache mich auf den Heimweg. Vorher messe ich noch mal den Himmel: 21.3. sehr hell! Das Gerät zeigt auch die -10 °C an, die es offenbar im Auto mittlerweile durchgängig gibt. Auch ein Aufwärmen des Gerätes bringt nichts. Es bleibt bei seinem im Mittel gemessenen Werten. Der Himmel war heute sehr gut. Die Wintermilchstraße sehr gut erkennbar. Dennoch von Top Beobachtungsstandorten weit entfernt, wo die Wintermilchstraße richtig hell ist. Aber ich bin dennoch hochzufrieden und mache mich jetzt wirklich auf den Heimweg.

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7Lc208"><img src="https://live.staticflickr.com/65535/50943552907_b1b6b4627c_b.jpg"></a>Auf dem Parkplatz mit dem Dobson bei der Beobachtung des Leo-Triplets. An den Baumwipfeln und Sträuchern ist reflektierende Lichtverschmutzung überraschend deutlich zu erkennen, die visuell kaum wahrnehmbar war.</div>

!Die „liebe“ Lichtverschmutzung...

Am nächsten Tag schlafe ich erst mal richtig aus. Beim Sichten der Aufnahmen bin ich allerdings erschrocken. Der Himmel war gut, aber er ist trotzdem sehr hell. Man muss sich das mal klarmachen: bei 8 Minuten Belichtungszeit sind die All Sky Aufnahmen bereits praktisch überbelichtet. Auf La Palma sind bei den gleichen Einstellungen ca. 14 Minuten drin. Und da ist nix überbelichtet. Das SQM-L hatte also doch recht.

!!Ist die Schneelandschaft schuld?

Offenbar sorgt auch die gute Albedo der Schneelandschaft dafür, dass die Lichtverschmutzung insgesamt für eine weitere Aufhellung des Himmels sorgt. So richtig klar ist das nicht, aber wenn ich sehe, dass ein roter Sendemast einen Wiederschein auf der Schneedecke hinterlässt und dabei Kilometerweit entfernt ist, macht mich das schon nachdenklich. Visuell ist das kaum zu erkennen.

!!Der Winter ist...

...mittlerweile eine sehr unangenehme Angelegenheit. Hochnebel dominiert die Szenerie und klare Winternächte sind absolut selten. Richtig kalt wird es in den Mittelgebirgen mittlerweile kaum, so dass auch Schnee eine Seltenheit ist. Nicht so 2021. Und davor vielleicht [[2018|13. Februar 2018 - Wasserkuppe]]. Die Jahre, wo es „echten“ Winter bei uns gibt werden immer seltener. Andersherum aber werden die astronomisch nutzbaren Nächte - vor allem im Winter - kaum zahlreicher. Die Prognosen bezüglich Klimawandel sagen allerdings auch, dass die Schwankungen zunehmen werden. Vielleicht kriegen wir ja hin und wieder doch einen Winter, wie er früher üblich war.

Mehr Fotos gibt es hier [[>>|https://www.flickr.com/gp/106029581@N02/427b8k]]

Die erste Hochdruckphase zeichnet sich ab. Das hat sich in den letzten Jahren immer mehr gezeigt, dass sogar der Februar geeignet ist. Diesmal sogar schon zur Mitte des Monats, wobei in den Hochlagen der Rhön noch bis zu 30 cm Schnee liegt. Dies ist eigentlich gar nicht so gut für unser Hobby, denn die Albedo des Schnees sorgt nicht unbedingt für die dunkelsten Nächte. Aber was will man machen und schließlich ist jede klare Nacht im Winter willkommen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/U83J1V9M61" title="Untitled"><img src="https://live.staticflickr.com/65535/52698015609_f306a14ef4_h.jpg"></a>

Ich habe kurzfristig sogar Urlaub genommen und bin zum Glück wieder direkt in der Nähe des Beobachtungsplatzes in einer Pension untergekommen. Ein bisschen Bammel habe ich schon, denn unklar ist, ob ich tatsächlich am Platz werde beobachten können oder ob ich mit dem Auto gar nicht durchkomme. Habe auch diesmal den 21 Zöller ist dabei, denn ich habe eigentlich keine große Lust mit was kleineren zu beobachten. Mathias hat sich für den Folgetag angekündigt. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/n050993jpr" title="Untitled"><img src="https://live.staticflickr.com/65535/52690907149_264814dc47_k.jpg"></a>

Zunächst ist zu sagen, dass hier oben tatsächlich der Nebel regiert. Die Vorhersage beharrt auch darauf, dass es nachts wieder Nebel geben wird. Ich tauche schließlich am Beobachtungsplatz auf, aber der ist schlecht beziehungsweise kaum befahrbar. Der Erdschatten ist aber phänomenal. Besser geht’s nicht. Doch gut!

Ich muss doch auf einen Parkplatz ausweichen, denn der Platz geht nicht. Nach ein bisschen hin und her, entscheide ich mich schließlich für die Wasserkuppe. Als ich hier um 19 Uhr eintreffe, stehen noch vier bis fünf Wagen herum, die in den nächsten zwei Stunden verschwinden. Dann bin ich hier tatsächlich bis auf zwei Wohnmobile komplett allein. Schlecht sind vorbeifahrende Autos, aber so ist das leider im Winter, wenn man nicht auf das Gelände ausweichen kann. In der Dämmerung sieht der Himmel nicht so besonders gut aus, wenn gleich es tatsächlich klar ist.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/06309m27ac" title="Untitled"><img src="https://live.staticflickr.com/65535/52703162494_040433dfb0_k.jpg"></a>

Der Himmel ist gut, zumindest sieht er so aus. Tatsächlich ist er aber aufgehellt. Das Foto zeigt die Bedingungen, die Aufnahmeparameter sind die gleichen, wie bei den Aufnahmen in der folgenden Nacht. Daher lohnt sich ein Vergleich beim weiter blättern. Krass, wie hell der Himmel hier oben ist. Einer der Lichtbuckel stammt von einer nahe gelegenen beleuchteten Piste. Dennoch ist der Komet ZTF oberhalb von Aldebaran gerade so erkennbar.

Ich starte zunächst mit M 41, M 46 & M 47. Kommen gut, sehr gut sogar.

![[Komet C/2022 ZTF E3]]

Es handelt sich um einen Kometen, der vor circa 50.000 Jahren das letzte Mal bei uns vorbei kam. Er besucht uns auch nur ganz kurz, und verschwindet dann recht schnell. 

Ich greife tatsächlich als erstes zum Feldstecher. In der Nähe der Hyaden soll der Komet heute stehen. Und ich kann tatsächlich was erkennen, wenn gleich er recht unscheinbar ist. Auf den ersten Blick ist der Komet mit bloßem Auge nichts zu sehen, denn der Himmel ist noch zu seifig.

Im 21 Zöller ist das Teil eine Pracht. Oval, längliche Koma mit sternartigem Zentrum. Schweif ist kurz aber kräftig und gebogen. Leider kein Farbeindruck wahrnehmbar, trotz Übersichtsvergrößerung und der großen Öffnung. Vom Ionenschweif kaum was zu sehen. 

Im Feldstecher später viel besser, aufgrund besserer Bedingungen. Dann wird auch die enge Begegnung mit NGC 1647, einem OS der nördlich steht, schön sichtbar.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/R99ve3423p" title="Komet ZTF"><img src="https://live.staticflickr.com/65535/52692424618_5e8b0e3f19_k.jpg" alt="Komet ZTF"></a>

Einzelaufnahme als Ausschnittsvergrößerung, 60 sec mit Sony A7a und Samyang 85 ED f1.8 @ f2 (APS-C). Der helle Stern unten ist Aldebaran zusammen mit den Hyaden. Nördlich NGC 1647 zusammen mit dem Kometen.

!!!Abell 539

Nachschau und jetzt mit 21 Zoll. Schön, aber spektakulär ist anders. Im Vergleich zu 14 Zoll vor einigen Wochen nicht viel besser. Dennoch lässt sich die „Zigarre“, ein Verbund aus drei runden Galaxien, diesmal bei 148x mit 21 Zoll einwandfrei „auflösen“. Ist also nicht auf zu geringere Vergrößerung des 14 Zöllers zurückzuführen. Wunderschön die Dreierkette.

!!![[NGC 4565|NGC 4565]]

Nicht einfach, definitiv nicht auch wenn dies immer wieder ein Klassiker und auch ein „Kracher“ ist. Kann die schwache Galaxie recht gut erkennen, trotzdem immer wieder eine Herausforderung.

!!!Owl Nebel

Super! Mit UHC schön strukturiert und auch die eingebetteten Sterne sind ganz schwach erkennbar.

Rausschmeißer sind dann M 51 und M 13. Auf dem Rückweg muss ich aufgrund von Glätte vorsichtig fahren. Klappt aber. Dabei treffe ich eine Eule 🦉 direkt auf der Straße an. Sie sitzt auf der Gegenfahrbahn! Auf meinem Heimweg durchfahre ich die Lange Rhön. Der Mond ist gerade aufgegangen und schimmert orange rot. Magisch!

[[Weiter zur nächsten Nacht >>|14. Februar 2023 - Lange Rhön]]

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Versteckt liegt die Podona im Wald.

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Ich habe Glück. Wetter bleibt trotz Ankündigung gut. So muss das sein. Llanos de las Animas. Nordostwind ist nämlich angekündigt. Und davor ist man hier gut geschützt.

Erstes Objekt ist [[Jonckheere 900]]: Kleiner Nebel bei 290. Sehr hell. Kann bis auf über 1000 fach vergrößert werden. Dann zeigt sich zunächst ein halboffener Ring, der bei längerer Beobachtung rechteckig wirkt mit zwei parallelen hellen Balken. Mittig zeigen sich helle Knoten. Einer davon abseits der Balken. Innere des Nebels ist gefüllt. Beobachtung ohne Filter. Seeing 1-2. 

SQM-L zeigt im Orion 21.7 an. Gute Bedingungen, auch wenn in Westen hohe Wolken vorbei ziehen.

[[Minkowski 1-7]]: Kleiner, runder Nebel bei 290 fach. Dunkler als J900 zuvor. Trotzdem kann er auf 1000 fach vergrößert werden. Dann zeigt sich ein diffuser, runder Nebel. Nach ein paar Minuten zeigt sich ein Ring mit hellerem Segment im Norden. Inneres ist mit Nebel gefüllt. Bei geringerer Vergrößerung zeigt sich auch ein fast N-S verlaufender spindelförmiger Halo. Seeing 1-2.

''//V777 Mon "Red Rectangle"//'': Probiere bei unterschiedlichen Vergrößerungen von 290 bis 430 und 1000 fach. Leider nichts zu erkennen. Probiere auch noch mit OIII. Nix.

[[Stephenson 3-1]]: Kleiner, runder Nebel. Bei 65 fach nicht auszumachen. Bester Anblick bei 430 fach, Reagiert auf OIII-Filter. Ist aber nicht nötig, da auch so hell genug, Seeing 2.

Hohe Wolken kommen auf. Die stetig im Westen zu sehende Wolkenbank ist jetzt da. Habe leider kein Handyempfang, sonst könnte ich schauen, wie lange der Spuk dauern wird. Will heute unbedingt durchziehen, da morgen strammer NE-Wind vorhergesagt wird. Offenbar setzt er schon jetzt ein, da hier der Wald rauscht, wenn auch noch mit Pausen. Gut dass ich hier hinter dem Felsen versteckt bin.

[[NGC 3184]]: Helle und große Galaxie im Sternbild Großer Bär. Ich starte direkt mit 168 fach. Dann werden zwei Spiralarme, einer östlich mit zwei hellen Knoten, die sich als NGC 3180 und NGC 3181 herausstellen. 3180 ist auch deutlich heller. Der zweite ist diffuser und als solcher nur schwer erkennbar. Gehe mit der Vergrößerung hoch. Bei 290 fach wird ein schwacher Vordergrundstern direkt am Zentrum sichtbar. Das Zentrum ist hell, aber diffus. Grundform der Galaxie ist oval. Schönes Objekt.

Die Wolken haben sich wieder verzogen und der Himmel ist wieder völlig klar. Haha, denkste! Will mit dem SQM-L eine Messung starten und erkenne, dass im Zenit alles zu ist. Der Große Hund ist aber frei und so geht es weiter dorthin.

[[Sanduleak 2-21]]: Auf dem Weg zu Yale Columbia 2-5 zufällig in ~SkySafari gefunden. Kleiner, runder Nebelball. Keine Struktur. Bei 430 fach gut beobachtbar. In der Nähe sehr heller Stern. Bei 65 fach schon erahnbar. Seeing 3.

[[Yale Columbia 2-5 o. Sanduleak 2-22|Yale Columbia 2-5]]: Von einem Stern kaum zu unterscheiden. Kann nur anhand der minimal größeren Ausdehnung von einem Feldstern unterschieden werden. Reagiert gut auf OIII. 430 fach vergrößert.

[[Minkowski 3-3]]: Kleiner, runder und recht schwacher Nebel. Von Feldsternen kaum zu unterscheiden. OIII hilft nicht. Praktisch nur erkennbar, da Größe des Nebels verglichen mit gleich hellen Feldsternen etwas größer ist. Seeing 3-4.

[[Longmore-Tritton 5]]: Schwacher Nebel um einen recht hellen Stern. Kann nur mit Filter gesehen werden. OIII leicht im Vorteil gegenüber UHC. Der Nebel erscheint rund mit helleren gegenüberliegenden Segmenten. Letzteres ist unsicher.

Der Wind hat deutlich zugelegt. Manchmal habe ich den Eindruck, dass ich feine Nieseltropfen abbekomme. Kann aber nicht sein, da es trocken ist. Die Windschutzscheibe war für eine Stunde beschlagen. Jetzt ist sie wieder von selbst abgetrocknet. Ich glaube das war es für heute.

__Nachtrag:__ Auf der Abfahrt muss ich feststellen, dass es nieselt. Regen. OK. Zuhause checke ich die ING-Weather Station und siehe da: Seit Mitternacht hohe Luftffeuchtigkeit. Alles dicht. Sogar Wassertropfen auf der All-Sky Kamera. Also doch Wassertröpfchen gespürt! Da habe ich doch glatt einen Kilometer oder weniger in einem Wolken- und Regenloch gesessen. Und die Luftfeuchte war noch nicht mal hoch. Schätze 70 bis max. 80 Prozent und das nur für kurze Zeit. Was für ein Glück.

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[[<<Zurück zur vorangegangenen Nacht|12. Januar 2018 - La Palma]] | [[Weiter zur nächsten Nacht >>|14. Januar 2018 - La Palma]]

Klar obwohl die Wettervorhersage sagt, dass Wolken durchziehen sollen. Tun sie aber nicht. Warm mit extrem niedriger Luftfeuchtigkeit um 29 %. Kein Wind.

Die letzten Tage fühlen sich tatsächlich eher wie Sommer an. Tagsüber ist es warm und nachts werden Temperaturen von +7 °C erreicht. Das ist alles sehr erträglich, wenngleich ich festgestellt habe, dass eine Thermohose doch angezeigt gewesen wäre. Moonboots zum Beispiel nicht, aber wie gesagt Daunenzeug ist tatsächlich doch Pflicht.

<<<.tc-big-quote

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Wunderbarer Himmel! Aufnahme um 01:22 Uhr WAT. Nachgeführt mit MSM-Rotator. Süden ist oben. Unten sieht man wie ich zu Gange bin. Rechts, d.h. im Osten ist Jupiter aufgegangen und etwas näher Richtung Zenit steht 🪐Die Magellanschen Wolken stehen noch tief bzw. die „Kleine“ klettert schon wieder höher. Die „Große“ ist im Airglowband fast unsichtbar.

<<<

Für Hubert war es gestern die letzte Nacht. Heute kommt er nur kurz vorbei,  um sich zu verabschieden. Wir quatschen noch eine Zeit lang und dann verschwindet Hubert ins Bett. Abreise ist morgen um 7:30 Uhr. Für mich heißt es weiter beobachten. 

Erstes Objekt ist [[IC 2553]]: Bei mäßigem Seeing und Tiefstand zeigt sich außer einen ovalen, „waberndem“ Scheibchen leider nichts. Jedenfalls nichts berichtenswertes. Leider. Ein weiteres interessantes Objekt ist NGC 3211. Damit werde ich mich aber erst morgen beschäftigen.

[[NGC 5643]]: bereits gestern mit Hubert zusammen beobachtet. Bei mäßigem Seeing zeigt sich bei geduldiger Beobachtung wieder die interessante Balkenspirale. Verschiedene Spiralarme lassen sich diffus um den Balken herum erkennen. Prominent sind abgehende, kurze Arme insbesondere am westlichen Ende des Balkens. Zum Teil sind die Spiralarme schwierig zu separieren. Seeing 3-4. Wichtig ist in diesem Zusammenhang auch nicht zu hoch zu vergrößern, damit die Strukturen insgesamt wahrnehmbar bleiben.

Beim Nachführen auf eine weitere Galaxie gestoßen.

[[IC 4444]]: relativ hell und klein. Kann bis auf 454x vergrößert werden. Es zeigen sich dann im Wesentlichen zwei Spiralarme, ein kurzer und ein langer. Am Ende des langen Spiralarm wird dieser etwas heller. Deutliche Helligkeitszunahme zum Zentrum hin, welches sich rund, diffus und mittig sternartig zeigt. 

<<<.tc-big-quote

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Die Schildsternwolke mit M11 als hellem Objekt nahe der Mitte. Es dominieren Brauntöne und Dunkelwolken, sowie Sterne, die wie verstreute Diamanten 💎 aussehen.

<<<

Nächstes und letztes Objekt ist schließlich [[NGC 346]]. Ich habe eine Zeichnung vor ein paar Tagen schon mal begonnen und setze sie nun fort. Zur Beobachtung benutze ich diesmal allerdings zusätzlich Filter. Ich probiere zunächst den UHC, dann den OIII. Letzterer wirkt deutlich besser und daher erstelle ich die Zeichnung mit diesem. Mittlerweile ist es schon wieder 3:00 Uhr. Ich mache noch ein Selfie am Teleskop mit mir und dann packe ich zusammen. Das Seeing ist mittlerweile auch nicht mehr das Beste. Trotzdem beeindruckende Kulisse. Mega Himmel!

[[<<Zurück zur vorangegangenen Nacht|12. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|14. Juni 2021 - Tivoli Astrofarm]]

Die Anreise verläuft wie geplant. Der Flieger geht um 6:30 Uhr und um 10 Uhr bin ich am Mietwagenschalter. Dann geht es weiter und um 15 Uhr bin ich tatsächlich schon im Hotel. Mittagessen und dann noch mal etwas pennen. Astronomische Dämmerung ist um 23:30 Uhr. Da bleibt genug Zeit. Dennoch breche ich vor Sonnenuntergang auf, denn das Teleskop ist ja noch verpackt und muss vor Ort zusammengebaut werden. Früher habe ich dies meistens bereits tagsüber auf einem Rastplatz an der Autobahn gemacht, denn da hat man einen Tisch oder Ähnliches, was die ganze Geschichte etwas bequemer und sicherer macht. Schließlich hantiert man ja mit einem Spiegel, der letztlich mit Vorsicht in die Rockerbox eingelassen werden muss. Da darf nichts schief gehen, um Kratzer auf dem Spiegel zu vermeiden. Letztlich habe ich auch im letzten Winter gute Erfahrung mit dem Zusammenbau am Beobachtungsplatz gemacht und daher werde ich erst mal dabei bleiben.

Vor einem halben Jahr hatte ich auch festgestellt, dass der Pinar, also ursprüngliche das Gelände der Feriensiedlung, wieder zugänglich ist. Mit einem nicht so breiten Kleinwagen konnte man so die Einfahrt gut passieren. Jetzt muss ich jedoch feststellen, dass er wieder dicht ist, da der weggeräumte Steinblock wieder die Durchfahrt blockiert.

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!Sony A7s

Bin wieder mal schwach geworden. Ich habe eine gebrauchte Sony A7s gekauft. Ggf. wird sie noch astromodifiziert. Sie soll für echte Schnappschüsse in der Nacht unter dunklem Himmel verwendet werden, wo die A7a doch zu schwachbrüstig ist bzw. zu stark rauscht.

Am Nachmittag verziehen sich die Wolken, aber ich habe mich zu früh gefreut. Etwa zwei Stunden vor Sonnenuntergang kommen  schließlich sehr dichte Wolken auf, und am Beobachtungsplatz fängt es schließlich heftigst an zu regnen. Ich lasse mich aber nicht nervös machen und harre aus. Schließlich lässt der Regen tatsächlich nach und es klart auf. Das ist die Gelegenheit, das Teleskop aufzubauen. Die Vorhersage hatte mal wieder recht. Kurz vor der astronomische Dämmerung messe ich bereits mit dem SQM-L 21.7 im Zenit mit dem neuen Gerät ohne Linse 21.46. Heute sind die Bedingungen nach dem Regen exzellent, leider ist allerdings die Luftfeuchtigkeit hoch, so dass im Auto alles klatschnass ist. 

Während der Dämmerung zieht im Norden ein Starlink-Train durch. Sehr beeindruckend und gleichzeitig sehr beängstigend.

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Alles ist aufgebaut. Der alte Samsonite Koffer eignet sich hervorragend als Sitzgelegenheit. Die Strichspur ist der Starlink-Train. Links die helle Venus.

Erstes Objekt ist quasi die Venus, die hell strahlt und eine 50 % Phase zeigt. Brauche sie zum Justieren des Quickfinders. Dann schaue ich kurz nach M 57. Seeing ist ok. Schließlich lande ich bei M 101 und bestaune die sehr helle Supernova. Jetzt nach Einbruch der astronomischen  Dämmerung zeigt das SQM-L 21.8 an, ohne Linse sind es 21.6. Gemessen jeweils im Zenit. Der Wächter aus dem Feuerturm kommt wieder um Mitternacht mit dem Auto vorbei und schaut vermutlich etwas verdutzt. Aber er lässt mich in Ruhe und fährt weiter. Unweit hört man mal wieder einen Schuss, es scheint mal wieder jemand auf der Jagd zu sein.

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![[M 101 mit Supernova SN 2023ixf|M 101 mit SN 2023ixf]]

Wunderschön anzusehen. Am besten bei niedriger Vergrößerung, denn dann werden die Spiralarme, insbesondere die äußeren, die recht schwach sind, gut sichtbar. Die Supernova ist recht hell, schätze sie auf circa 11 mag ein, was ich anhand von Vergleichssternen in der Umgebung annehme, die etwa gleich hell sind und diese Helligkeit laut Katalog haben. Die Supernova ist auf jeden Fall deutlich heller als der recht helle Stern in Zentrumsnähe von M101, der lt. ~SkySafari 12.91 mag hat.

Es ziehen immer mal wieder Wolken durch, so auch jetzt. Die Luftfeuchtigkeit ist weiterhin herausfordernd, aber der Fangspiegel hält mit der Batterieheizung durch.

!//Laevens 3//

Ewig gesucht, aber dann doch gefunden. Zumindest das Sternfeld und damit die korrekte Position. Sowohl bei 65x als auch bei 114x nichts zu erkennen. Die Bedingungen sind allerdings nicht optimal, denn der Fangspiegel ist bereits am Rand beschlagen und eine höhere Vergrößerung kann ich nicht einsetzen, da das 9mm Okular ebenfalls beschlagen ist.

Eigentlich wollte ich noch NGC 6578 beobachten, allerdings ist es jetzt zu spät dafür, und die Dämmerung setzt auch bald ein. +6 °C. Richtig kalt ist es trotz Winterklamotten. Der Himmel ist immer seifiger geworden und die Beobachtungsbedingungen richtig schlecht. Ich schau auch noch mal bei M 8 vorbei. Steht nämlich auch auf der Beobachtungs- und Zeichenliste. Aber Puh, das sieht sehr schwierig aus. Wir werden sehen.

Der Mond 🌜 geht auf. Ganz vergessen! Den gibt es auch noch! Und er steht nahe bei Jupiter.

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Ich überlege noch kurz, ob ich die andere Kamera mit dem „richtigen Telezoom“ auch noch mal einsetze. Denn das Samyang 135mm zeigt doch eine fette Reflexion, das kann ich schon direkt am Kameradisplay erkennen. Aber ich bin so fertig, dass ich aufgebe. Richtig so.

[[<< Zurück zur Beobachtungsübersicht|Juni mal anders]] | [[Weiter zur nächsten Nacht >>|14. Juni 2023 - Pinar de Araceli]]

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Kurz vor Sonnenuntergang bereite ich die Beobachtungnacht vor. Ich besuche noch schnell eine Sternwarte. Und der Astrofotograf vom Dienst lässt mich zum Teleskop herauf klettern. Von dort aus nehme ich den Erdschatten auf. Hier hat man einen super Überblick.

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Windstill, klar. Transparenz war tagsüber nicht so gut. Erdschatten war auch nicht so gut zu erkennen wie gestern.

Erstes Objekt ist M42. Aber es ist noch zu hell und der Orion steht zu tief. Ich schwenke daher rüber auf die LMC. Dort erwartet mich der Tarantel Nebel.

''NGC 2070 - "Tarantel Nebel", 18:20 Uhr:'' Der Nebel zeigt sich stark strukturiert mit hellen auslaufenden Armen. Der hellste Teil beherbergt einen offenen Sternhaufen. Aus ihm strahlt ein sehr heller Stern nahe des Zentrums heraus. Darüber hinaus sind etwa ein Dutzend schwächere Sterne locker verteilt zu erkennen. Form des Sternhaufens länglich bzw. rechteckig. Mit UHC-Filter werden die schwachen Ausläufer deutlich sichtbar. Und auch das Zentrum wird noch mal deutlich heller. Beim Abfahren des Gesichtsfeldes fallen weitere versprengte Nebelteile auf. Damit ist der Nebel größer als 1.5°. Faszinierendes Objekt!

''Abell 13, 18:50 Uhr:'' So jetzt aber. Bei 180 fach und OIII-Filter ist die schwache Sichel indirekt zu erahnen. Die Steigerung auf 280 fach und OIII-Filter bringt schließlich den Durchbruch. Der Nebel ist zwar indirekt nicht immer zu halten aber dennoch immer wieder eindeutig zu sehen. Gefährlich schwacher Stern südlich. Tatsächlich ist nur der nordwestliche Teil am besten beobachtbar. Vom restlichen Nebel leider keine Spur. 

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![[Abell 23 mit 25 Zoll]]

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{{Abell 23 mit 25 Zoll}}

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![[NGC 4038 & 39 - Antennengalaxien mit 25 Zoll]]

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{{NGC 4038 & 39 - Antennengalaxien mit 25 Zoll}}

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![[Abell 38]]

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{{Abell 38}}

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Der Himmel ist deutlich dunkler heute. Im Mittel lassen sich kurz nach der astronomischen Dämmerung bereits 21.57 im Mittel im Zenit mit dem SQM-L messen.

''Abell 23, 21:30 Uhr:'' Bei 180 fach und 280 fach und OIII- Filter wird ein kleiner runder Nebel sichtbar. Am Besten bei 180 fach zu sehen. Kann indirekt nicht ständig gehalten werden. Südlich gefährlich schwacher visueller Doppelstern.

Hier ein kurzer Vergleich zwischen 14" und 25". Interessanterweise ist Abell 23 trotz riesiger Öffnung kaum besser zu erkennen. Hier die Notiz vom [[14. März 2015]]: "Ähnliche Grösse und ähnlich schwer [...wie Abell 8]. Bei 114 fach und OIII wird nach geduldiger Beobachtung ein schwaches, kleines, rundes Glimmen sichtbar. Kann nicht ständig gehalten werden. Kein ZS und keine Strukturen sichtbar. Einen Ticken einfacher als Abell 8 und dies, obwohl Abell 23 sehr tief steht. SQM-L 21.55 Zenit." [[Zeichnung von Abell 23 mit 14"|Abell 23]]

Transparenz ist super. Im Mittel und im Zenit 21.74 mit dem SQM-L gemessen. Über den Zangen des Skorpions ist Gegenschein sehr einfach erkennbar. Und die Lichtbrücke auch.

Nach dem Reinfall gestern habe ich die Antennen Galaxien noch mal eingestellt.

''NGC 4039 - "Antennen Galaxien", 23:55 Uhr:''  Mit dem 14 mm erhalte ich eine Vergrößerung von 180 fach und eine AP von 3.5 Millimeter. Jetzt werden die Antennen immer wieder indirekt aufblitzend sichtbar, wenn man weiß, wo sie verlaufen. Sie sind eindeutig flächig. Lassen sich etwa 90° verfolgen. Bei 280 fach beziehungsweise AP von 2.25 mm hingegen sind sie nicht zu sehen.

Ich habe die Zeichnung dann doch begonnen. Hier ist das Ergebnis.

''Abell 38, 1:25 Uhr:'' Rundes bis leicht ovales Glimmen südlich eines Doppelsterns. Kein Zentralstern. Nur bei 180 fach und OIII-Filter sichtbar. Kann indirekt nicht immer gehalten, aber immer wieder sicher gesehen werden. Nur mit genauer Karte auffindbar. Sehr schwieriges Sternfeld. Schwieriger als gedacht.

''NGC 104 - 47 Tucanae, 1:35 Uhr:'' Heller großer Kugelsternhaufen mit sehr hellem sternartigen Zentrum. Steht leider für die 280 fache Vergrößerung noch viel zu tief. Muss ich mir in den nächsten Tagen noch mal genauer anschauen.

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''NGC 292-SMC, 01:45 Uhr:'' Im Feldstecher ist die Kleine Magellansche Wolke als fast senkrecht zum Horizont orientierter langer, recht schmaler, diffuser Balken sichtbar. An ihrem südlichen Ende sind zwei diffuse runde Nebel zu erkennen. Am anderen Ende dagegen ist der berühmte Kugelsternhaufen 47 Tucanae als heller und großer Nebelball zu erkennen.

''Cederblad 122, 2:05 Uhr:'' Riesiger Nebel. Viel zu groß für das 1,5° Gesichtsfeld. Mit UHC-Filter glaube ich einen hellen länglichen Nebelabschnitt von etwa 1° beim Durchschwenken des Teleskops durch das reiche Milchstraßenfeld zu sehen. Der Nebel ist größer als zwei Quadratgrad und beherbergt ungefähr in dessen Mitte ein helles Sternenpaar.

Der Mond ist heute 3:15 Uhr aufgegangen. Er stört die Beobachtung, insbesondere mit Filter, aber kaum.

Die Astrofotografen besuchen mich. Insgesamt sind es nacheinander drei Leute. Ich stelle Objekte wie den Eta Carinae Nebel, sowie M 57 in der Leier und später den Zirrus Nebel ein. Alle sind begeistert. Mich eingeschlossen.

Gegen 3:30 Uhr packe ich schließlich zusammen.

[[Weiter zur nächsten Nacht>>|14. Mai 2015 Tivoli]]

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!!Stumpi am Mittwoch 

Das schöne Wetter geht in die Verlängerung. Mittlerweile ist es Mitte Oktober und man hat das Gefühl im Sommer zu sein. Ich war am Mittwoch in Stumpertenrod auf dem alten ITV–Gelände. Leider kam ich dort zu spät an und die astronomische Dämmerung hatte gerade eingesetzt. Ich stieg aus dem Wagen und natürlich ging ad-hoc das Licht nicht aus. Flüche in meine Richtung flogen über den Platz. Als ich mit dem Schlüssel den Wagen verschließe, geht es dann schließlich aus. Aber das Teleskop ist natürlich noch im Auto. Blöd. Ein Blick zum Himmel offenbart, dass es so klar nicht ist. Stattdessen zeigen sich Richtung Osten gewaltige Lichtglocken. Ich beschließe in Panik erst einmal den Platz wieder zu verlassen. Ich flüchte ins Auto und gebe Gas. Etwa 2 km weiter halte ich auf einem Feld. Der Wind ist aber zu heftig und aufgrund der schlechten Bedingungen beschließe ich noch schnell den Proviant aufzufuttern und dann wieder Richtung Heimat zu fahren. Ein echter Reinfall! 

!!Wasserkuppe am Samstag 

Heute soll aber alles anders sein. Transparenz ist im Gegensatz zum Mittwoch viel besser. Am Freitag ziehen leider noch Zirren durch. Heute aber nicht. Ich bin auf dem Weg zur Wasserkuppe. Ich komme kurz nach Sonnenuntergang an und fahre direkt den Beobachtungsplatz an. In der Dämmerung baue ich auf. Der Mond ist mein Zeuge. Daneben wird nach Dämmerungsende sogar die Sommermilchstraße sichtbar. Die Sommersternbilder stehen noch hoch, sind aber bereits auf dem Rückzug. Es ist ein kommen und gehen.

!!Gegen ein Uhr gehen die Sommersternbilder und die Wintersternbilder kommen

Die Aufnahmedaten sind gleich. Zeitlicher Versatz ein paar Minuten. Links Richtung Süden, rechts Nordwesten (Fulda). Ob das an der unterschiedlichen Beleuchtung liegt? LED rechts gegen Konventionell links?

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!!Heute sind wir zu dritt

Im Moment ist es windstill. Aber nachts wird Wind vorhergesagt. Sehr gute Transparenz herrscht, wenn auch der Erdschatten nicht so toll zu sehen war. Korrigiere: Habe nur die letzte Phase gesehen. Denn ich war zu spät dran. Kaum habe ich aufgebaut braust jemand heran. Hält, steigt aus, beäugt und fragt mich, ob ich auch beobachten würde. Ja, tue ich. Baut in der Nähe auf. Ich warne vor dem Wind an der Stelle. Antwort ist es sei ja windstill. Verweise darauf, dass es hier eigentlich immer Wind gibt. Nein, nein, das könne nicht sein, man kenne den Platz genau, wenn auch das Thema Beobachtung schon ein paar Jahre zurück läge. Nun gut. Beeile mich noch zu erklären, dass ich mit Mathias verabredet bin. Der trifft dann auch bald ein. 

Der Mond stört etwas, aber um 21 Uhr ist er weg. Trotzdem ist die Sommermilchstraße gut zu sehen. Zunächst gibt es eine Nachschau. Kollimiere am Polarstern und sehe, dass das Seeing wieder Spitze ist. Also PN-Nacht.

''Minkowski 1-71'': Diesmal an der richtigen Position. Aufgesucht mit dem Triatlas. Vergrößere bei sehr gutem Seeing bis auf 1000fach. Der PN bleibt sternförmig und ich glaube einen leichten Halo zu erkennen, der nördlich bei einem gleich hellen Nachbarstern nicht zu erkennen ist. Das bleibt aber unsicher. Habe zuvor bei 290 fach den PN sauber „herausgeblinkt“.

Nach der Beobachtung stelle ich fest, dass die Position dieselbe ist wie das [[vorletzte Mal|11. September 2018 - Wasserkuppe]]. Nun gut. Offenbar war der ZS hin und wieder aufgrund des Seeings „doppelt“. Weiter geht es mit einer Galaxie in der Sommermilchstraße.

[[NGC 6745]]: Unscheinbare Galaxie bei 290 fach. Bei 65 fach als ovaler Nebelball zu erkennen. Kann bis auf 430 fach vergrößert werden. Dann zeigt sich eine N-S ausgerichtete Galaxie (könnte auch als PN durchgehen) mit einer abgehenden „Nase“, die im Innern einen länglichen, hellen Knoten zeigt. Am Ende nach Süden hin schließt sich ein ovaler, ringförmiger Galaxienkörper an, der im Süden wieder durch einen Knoten abgeschlossen wird. Dieser ist etwas schwächer. Der ringförmige Galaxienkörper ist östlich heller und zeigt hier einen diffusen, länglichen Knoten bzw. Kante. Mitte dunkler. Ungewöhnlich für eine Galaxie. Bei 290 fach, also geringerer Vergrößerung zeigt sich ein abgehender Schweif im Anschluss an den Knoten im Süden, der bei 430 fach nicht zu sehen ist. Mit UHC-Filter ist die Galaxie viel schwächer aber trotz 290 facher Vergrößerung noch zu erkennen. Die Knoten treten nicht stärker hervor, können aber noch vermutet werden. Also keine HII-Regionen. Seeing 1-2.

Nächstes Objekt ist [[NGC 6742]]: Runder, kleiner, unscheinbarer Nebelball bei 65 fach. Kann bis 430 fach vergrößert werden. Reagiert gut auf OIII. UHC schlechter. Mit OIII zeigt sich ein runder, gefüllter „Rauchring“. Östlich markanter, wobei die Kante deutlich breiter ist und fast bis zur Mitte reicht. Ohne Filter auch zu erkennen, aber sehr schwer. Auf dem Rand ist bei perfektem Seeing ein schwacher Stern, blickweise immer wieder zu erkennen, aber nur wenn man weiß, wo er ungefähr steht. Sehr schönes Objekt. Seeing 1-2.

Mitternacht ist schnell da. Der neue Mitbeobachter aus Fulda ist da schon weg. Wir beneiden ihn um den kurzen Anfahrtsweg.

Gegen 01:10 Uhr messe ich noch mal mit dem SQM-L 21.45 um Polaris. Geht doch. Vorher nur Werte um 21.3 bzw. max. 21.35. Gegen eins scheint die Beleuchtung abgeschaltet zu werden. Mathias wird es freuen, denn er musste schon weg.

!!Allein geht's weiter 

Als nächstes geht es wieder in die ''Andromedagalaxie''. Im ''Astrotreff'' ist es das [[Objekt des Monats|http://www.astrotreff.de/topic.asp?TOPIC_ID=230282]] Ziel ist NGC 206 und der hellste Einzelstern Odewahn's Stern 12 mit 16 mag. Nach einer Weile einsehen, wird er an der richtigen Stelle sichtbar. Kann indirekt gerade so gehalten werden. Einen weiteren Einzelstern mit 17 mag versuche ich zwar, breche aber wegen des weiter zunehmenden Windes ab. Nochmal das 25 mm Oku rein. M31 zerfällt um NGC 206 in unterschiedlich helle Gebiete. Die Spiralarme?! Jetzt werden ein paar Klassiker abgespult: M42, Plejaden, Flammennebel. Dann geht es weiter. Versuche noch Simeis 147 mit OIII am Stern HD 246646, aber nichts definitives bei 65 fach erkennen. Hin und wieder zeigt sich der Bogen im stenarmen Gebiet, aber die Zweifel überwiegen dann doch.

Ich mache schließlich eine Beobachtungpause. Die nutze ich, um ein Panorama der aufgehenden Wintersternbilder zu machen. 

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[[IC 2003]]: Winziger Rauchring. Form oval. Östlicher Halbring schwach mit diffusem Knoten. Westlicher deutlich prominenter mit hellem Knoten im Süden und etwas länglichem im Norden. Inneres gefüllt. 1000 fach. Bei 65 fach als PN schon erahnbar.

Der Himmel ist jetzt gut. 21.51 im Zenit. Na also.

[[IC 351]]: Winzig. Dennoch ist bei 1000 fach ein ovaler, langgezogener, gefüllter Ring zu erkennen. Hin und wieder zeigen sich blickweise im Norden und Süden zwei gegenüberliegende Stellare Knoten auf dem Ring. Auch dieser PN ist recht hell. 

Fünf Uhr durch. Langsam, geht die Nacht zu Ende und der Wind legt sich auch wieder. Gegen sechs habe ich geparkt und lege mich auf der umgeklappten Rückbank im Kombi zum Schlafen. Klappt gut und so kann ich mich drei Stunden gut erholen bevor das erste Auto auftaucht.

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Als ich am Morgen aufbreche, bin ich etwas erschrocken über die schlechte Transparenz auch hier oben. Aber bekanntlich sind wir ja im Herbst.

[[<< Zur Nacht am 05. Oktober 2018|05. Oktober 2018 - Wasserkuppe]] | [[Weiter zum 13. Oktober 2018 >>|05. November 2018 - Wasserkuppe]]

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/RwzNJP" title="Untitled"><img src="https://live.staticflickr.com/65535/50329165308_8b57e69f1c_h.jpg"></a>Die Steilküste bei Santo Domingo im Norden La Palmas.</div>

So, heute geht es richtig los. Wie das? Ich bin seit Mittwoch hier und konnte direkt die erste Nacht beobachten, allerdings nur mit dem Feldstecher. Ich hatte einfach am Mittwoch noch kein Teleskop gemietet, was vermutlich auch richtig war, denn dass Seeing war miserabel, wie man mit bloßem Auge erkennen konnte. Die erste Nacht war mit drei Stunden auch recht kurz, denn dann ging der Mond schon auf. Aber immerhin im Vergleich zu Deutschland waren das mehr als zwei Stunden Zugabe. Denn hier wird es noch deutlich früher dunkel.
Die erste Nacht war mit drei Stunden auch recht kurz, denn dann ging der Mond schon auf.

Als Zwischenfazit muss ich sagen, dass mir der Athos Star Campus sehr gut gefällt. Am Anfang der Nacht stört vor allen Dingen am Wochenende ein nahe gelegener Fußballplatz mit seiner Beleuchtung. Sie wird aber gegen 22:00 Uhr abgeschaltet, also kurz nach der astronomischen Dämmerung. In den ersten Tagen war es so warm, dass man in kurzen Hosen und mit freiem Oberkörper bei 26 °C die ganze Nacht beobachten konnte. Das hat sich jetzt aber geändert! Gestern wurden gegen 5:00 Uhr morgens 12 °C erreicht. Ich hatte schon meine Daunenjacke an, wenn auch nur zeitweise. Aber daran sieht man, dass man immer auf alles vorbereitet sein muss.
Heute Nacht soll es sehr gut werden, d.h. sehr klar und sehr transparent. Der Himmel sieht schon tagsüber gut aus, wenn man ihn mit bloßem Auge betrachtet. 
Mit Blick in Richtung optimaler Transparenz hin noch mehr, wie ich aus vorhergehenden Aufenthalten sicher sagen kann. Aber optimal ist halt auch immer sehr speziell. Wind ist kaum vorhergesagt beziehungsweise nur für die Bergregionen. Dort wird er sich aber soweit in Grenzen halten, dass das Seeing eigentlich keinen Schaden nehmen sollte. Wir werden es sehen. Ich werde heute früh am Start sein, um nichts von der Nacht zu verpassen. Bis 04:30 Uhr geht es dann in den Morgen und dann geht der Mond auf.

!Es geht los...

Erstes Objekt ist Jupiter. Er zeigt sich mit einem Schattendurchgang, aber das Seeing ist nicht so gut wie gestern. Und das obwohl alle Sterne mit bloßem Auge still stehen. Erstes Objekt heute ist K1 – 14. Es handelt sich dabei um einen planetarischen Nebel.

!!Kohoutek...was?

<div class="tc-link-info-item-flex" style="float:Right; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50867009533/in/dateposted/" title="M11 &amp; Schildwolke"><img src="https://live.staticflickr.com/65535/50867009533_c09c25a685_h.jpg" alt="M11 &amp; Schildwolke"></a> Von M16 bis M11 und die Nebellandschaft der Milchstraße.</div>

[[Kohoutek 1-14]]: Bei 255 fach wird in der Ziel Region ein Glimmen um einen Stern sichtbar. Beim genaueren betrachten stellt sich heraus, dass dies ein (visueller) Doppelstern ist, wobei die zweite Komponente sehr schwach ist und sehr eng steht. Mit OIII-Filter etwas besser zu erkennen, was aber ein Stück weit unsicher ist. Ein UHC-Filter bringt auf jeden Fall nichts. Mit OIII-Filter und auch ohne zeigt sich bei sehr guter Transparenz ein schwach wahrnehmbarer Ring, dessen Inneres gefüllt ist. Letzteres könnte auch von einem Überstrahlungseffekt des Zentralstern selbst herrühren, der recht hell ist.

Hatte auch an einen Versuch mit 14 Zoll gedacht. In Anbetracht der Helligkeit im 25 Zoll kann man das vermutlich getrost vergessen.

So, das nächste Objekt in der Liste stand ganz in der Nähe. Das ist natürlich jetzt nichts mehr, denn mittlerweile stehen die Objekte sehr, sehr tief.

!!M31 & M33

Als nächstes ein Objekt zur Entspannung: M33. Leider zeigt sich von Entspannung nichts, denn ich habe das Bild in meinem 14 Zöller noch gut vor Augen. Mit 25 Zoll zeigt sich eine komplett andere Welt. Die Spiralarme sind hell und strahlen einen förmlich an. M33 ist auch schon mit bloßem Auge gut sichtbar. 21.76 im Pegasus Viereck. Gute Bedingungen. Dann M31. Wirkt aber ein wenig verloren. Schön sind die Begleiter.

Ich brauche erst mal eine Kaffeepause. Es ist mittlerweile 2:30 Uhr und es bleiben noch zwei Stunden. Morgen und übermorgen soll es bewölkt sein. Eventuell eine weitere Nacht auch noch. Ich hoffe das ist nicht wahr! Aber da kann man eh nichts machen. 

!!Highlights des Nachthimmels werden angefahren

Ich beschließe mir Highlights anzuschauen. Alls erstes den Helixnebel. Wow. Dann M30. Ok. Dann die Nebel um Gamma-Cass. Mega! Auffällig. Es folgen Hi und Chi-Persei, die beide gerade so noch in das Gesichtsfeld passen. Als Rausschmeißer schaue ich mir dann noch mal den Mars an. Das Seeing ist heute nicht so gut wie gestern. Trotzdem kann man die Polkappe ohne Probleme erkennen.

Die Hunde heulen und bellen die ganze Nacht. Die steigern sich da richtig rein. Jetzt ist aber alles ruhig. Die Nacht ist ja auch fast rum.

[[<< Zurück zur vorangegangenen Nacht|12. September 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|17. September 2020 - La Palma]] 

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!NGC 6818 mit 14 Zoll bei 420-800 fach

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!NGC 6818 mit 25 Zoll bei 670 fach

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Vor jetzt mehr als vier Jahren habe ich mir einen 14 Zoll Dobson zugelegt. Mit diesem Gerät beobachte ich auch heute noch gerne und nehme es sogar häufig bei Flugreisen mit. Eine Ausnahme stellt Namibia dar. Dort miete ich in der Regel einen 25 Zöller vor Ort. Die Unterschiede der deutlich größeren Öffnung  sind für mich häufig visuell nicht immer offensichtlich. Insbesondere bei hellen und ausgedehnten Objekten, wie z.B. NGC 253, zeigt der 25 Zöller nicht unbedingt den erhofften Größenvorteil. Klar, alles ist heller, aber sonst...?

Ich versuche hier anhand meiner persönlichen Eindrücke den visuellen Unterschied zwischen meinen Beobachtungen am Bsp. von NGC 6818 wiederzugeben. Zunächst meine Beobachtungsnotizen:

!!![[NGC 6818 mit 14 Zoll:|5. August 2016 - Pinar de Araceli]]
"Sehr heller, runder und blaugrüner Nebel. Bei 56 fach schon von den Feldsternen unterscheidbar. Bei 800 fach bleibt zunächst die runde Grundform erhalten. Diese wird durch eine äußere Nebelschale gebildet. Im Innern zeigt sich eine ovale Schale, die stärker definiert ist und an den nördlichen Enden zwei hellere Knoten aufweist. Nördlich und nordwestlich fehlen Bogenstücke. Insgesamt wirkt die Schale unruhig. Kein Zentralstern zu sehen."                                                                                                                                      

!!![[NGC 6818 mit 25 Zoll:|28. Mai 2017 - Tivoli Astrofarm]]
"Nord-Südlich ausgerichtet. Im Innern zeigt sich eine ovale Nebelschale, die im Norden und Süden unterbrochen ist. Darüber hinaus auch im Südosten, wobei ein heller Knoten das Ende markiert. Nach einer Unterbrechung im Süden kommt ein schwacher Nebelfleck und markiert das Ende der östlichen Nebelschale. Die westliche Schale ist im Norden heller und schwächt sich nach Süden zur Mitte hin ab, um dann wieder stärker zu werden und diffus nach innen und außen auszubrechen. Das Ende der westlichen Schale im Süden markiert auch hier ein diffuser Nebelfleck. Im Norden erscheint bei indirekter Beobachtung immer wieder der Ring geschlossen, was er aber nicht ist. Stattdessen täuscht eine diffuse, versetzte Nebelbrücke als Bestandteil des Halos diesen Eindruck offenbar vor. Der Halo hat im Gegensatz zu der inneren Nebelschale nur eine leicht ovale bzw. fast runde Form. Im Zentrum ist nur wenige Male indirekt kurz aufblitzend der ZS zu sehen."

Obwohl die Vergrößerungen vergleichbar sind, zeigen sich bei 25 Zoll deutlich mehr Details. Darüber hinaus ist auch der Zentralstern bei 25 Zoll zu erkennen, wenn auch schwierig. Details lassen sich relativ sicher erkennen, was bei 14 Zoll nicht der Fall ist. Himmelsqualität und Seeingbedingungen waren ähnlich, d.h. gut (Seeing 1-2, Beobachtungsorte: Pinar de Araceli und Tivoli Astrofarm). 

!!Größere Teleskope erlauben es Objekte höher zu vergrößern

Größere Geräte erlauben es Objekte im Vergleich zu kleineren Öffnungen stärker zu vergrößern, wobei das Objekt im Vergleich häufig gleich hell oder sogar heller ist. Darüber hinaus haben größere Öffnungen ein höheres Auflösungsvermögen, was aber bei NGC 6818 keine Rolle spielt. NGC 6818 hat eine Ausdehnung von  0.4x0.8 Bogenminuten. Dies entspricht in etwa der (scheinbaren) Größe von Jupiter (genauer sind es 40" oder grob 0.5 Bogenminuten 🙄).

Bei sehr guten Seeingbedingungen konnte ich allerdings bei 25 Zoll blickweise in der Äquatorregion mehr Details wahrnehmen als im 14 Zöller. Grundsätzlich war der Unterschied aber gering, was vermutlich am Seeing lag. Die beobachtbaren Strukturen im 25 Zöller bei NGC 6818 (siehe Zeichnung) sind aber deutlich größer als 1-2".

!!Das Seeing wird mit zunehmender Öffnung immer wichtiger 

Damit man allerdings große Öffnungen effektiv nutzen kann, ist gutes Seeing die Voraussetzung. Schlechtes Seeing lässt sich im 14 Zöller häufig nur an den Sternen selbst erkennen und ausnahmsweise an hellen Deep Sky Objekten wie M42. Planeten natürlich auch. Im 25 Zöller hingegen ist es aufgrund der größeren Helligkeit der Objekte an den Objekten häufig direkt sichtbar. Sie verschwimmen und werden Augenblicke später wieder „scharf” sichtbar. Am eindrucksvollsten habe ich dass bisher an dem sehr stark strukturierten PN [[NGC 7009|28. Mai 2017 - Tivoli Astrofarm]] mit 25 Zoll gesehen, der bei schlechtem Seeing zu einem fast homogenen strukturlosen Scheibchen verschmiert wurde, sowie bei perfektem Seeing eine unglaublich filigrane Struktur zeigte.

!!Fazit

Die Seeing Bedingungen müssen stimmen, sonst lohnt der Einsatz eines 25 Zöller gegenüber einem 14 Zöller häufig nicht, wenn man mal vom Aspekt des generell helleren Bildes bzw. auch der erreichbaren höheren Grenzgrösse im 25 Zöller mal absieht.

Wer genauer wissen möchte, welche Theorie dahinter steht, sei auf [[diesen Artikel von T. Pfleger verwiesen|https://www.astronomie.de/einstieg-in-die-astronomie/sterne-beobachten/wahrnehmung-von-flaechenhaften-objekten/]].

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Und wieder Wolken. Heute ist die letzte Nacht. Mist. Wir sitzen noch zu dritt nach dem Abendessen zusammen. Gegen 23 Uhr sieht es danach aus, dass es endlich aufreißen könnte. Jetzt ist es schon Mitternacht. Ich fange jetzt einfach mal an.

Nochmal [[NGC 5882]] eingestellt. Heute kann ich bei 660x zusätzlich blickweise für 1-2 sec den Zentralstern erkennen. 

Weiter geht es zu [[NGC 5979]]: Zunächst ist nur ein diffuses, ovales Scheibchen zu sehen. Dann wird eine hellere Nebelschale im Innern sichtbar, die an den längeren Kanten mittig schwächer wird. Im Norden und Süden hellere Segmente und Knoten. Im Norden drei im Süden zwei. Kein ZS zu erkennen. Seeing 2.

Dann kommen wieder Wolken auf. Es ist wie verhext. Schade, daß es so zu Ende geht. Aber so ist es nun mal. 

Auf dem Weg zum Flughafen sehen wir vom Straßenrand Giraffen.

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[[<<Zurück zur vorangegangenen Nacht|13. August 2018 - Tivoli Astrofarm]] | [[Zurück zum Artikel >>|Namibia August 2018]]

Endlich geht es auch in Deutschland weiter. Nach einem verregneten Sommer gibt es zumindest eine kurze Pause. Mitte August, nach dem Neumond, geht es in diesem Sommer endlich los. Das Ganze wird nicht lange halten, aber was soll’s. Heute ist einer der letzten Nächte, in dem man ohne Mond beobachten kann. 

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Der Mond begleitet uns heute auch bis kurz nach der astronomischen Dämmerung. Und als es tatsächlich dunkler wird, sehen wir eine Wolkenbank von Süden bis weit nach Nordwesten über der Wasserkuppe liegen. Dort bleibt sie natürlich nicht und so ziehen relativ schnell offenbar tiefe Wolken durch.

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Das ganze nervt natürlich und so spielen wir schon mal durch, wie lange wir bleiben werden wenn sich die Situation nicht bessert. Tut sie aber zum Glück, denn ab ein Uhr klart es dann tatsächlich auf, wenngleich hin und wieder kleinere Wolkenfetzen durchziehen. Was uns wundert ist die Tatsache, dass Meteoblue korrekt vorhergesagt hat, dass es diese Wolken geben wird. Im letzten Moment wurde aber die Prognose wiederum einkassiert und ein klarer Nachthimmel vorhergesagt. Wir hatten natürlich den Braten gerochen und bis zuletzt gewartet. Denn wenn Wetterprognosen ständig hin und her springen und auch unterschiedliche Seiten unterschiedliches vorhersagen, ist dies meist kein gutes Omen.

Mathias jauchzt vor Freude, denn das Seeing ist sehr gut. Da stelle ich direkt Jupiter ein, der natürlich hier in Deutschland aktuell nicht so hoch steht. Aber, ich muss anerkennen, dass das Seeing offenbar wirklich gut ist, denn feinste Strukturen sind zumindest blickweise erkennbar. Richtiges Planetenseeing ist natürlich was anderes. Trotzdem sehe ich, wie Europa und Ganymed sehr nahe beieinander stehen. Bevor es richtig losgeht, schaue ich mir diverse Highlights an. Vorher habe ich das Ding übrigens auch an M57 überprüft. Nach wenigen Augenblicken kann ich tatsächlich den Zentralstern erkennen.

Mathias fährt PN nach PN an. Anfänglich muss er immer wieder Pausen machen, denn dann steht gerade eine Wolke vor dem Teleskop. Schließlich landet er bei [[Humanson 1-2]] und ist begeistert. 

Ich hingegen fahre etwas größeres an.

![[Dengel-Hartl 5]]

Bei 65x und OIII-Filter wird zunächst ein runder, sehr schwacher Glow neben einem Sternfeld sichtbar. Später erkenne ich, dass dieser tatsächlich eher oval ist. Dann etwas südlich von einem schwachen Stern, in einem fast sternlosen Gebiet, werden schließlich zwei schwache, diffuse Balken sichtbar, die parallel verlaufen. Nicht direkt sichtbar; aber bei geduldiger Beobachtung zeigen sie sich. Sie sind in einen recht großen, diffusen Außenbereich eingebettet. Insgesamt bin ich erstaunt wie ausgedehnt das Objekt ist. Noch erstaunlicher ist allerdings die Tatsache, dass dieses Objekt mit 14 Zoll zugänglich ist.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/y75635" title="Untitled"><img src="https://live.staticflickr.com/65535/51394117545_8839481fa8_h.jpg"></a>Im Süden kriecht der Jupiter über den Horizont. Rechts von ihm steht Saturn bereits kurz vor dem Untergang. Die Aufnahme entstand um 3:30 Uhr kurz vor Beginn der astronomischen Morgendämmerung. Der Himmel schwankte heute zwischen 21.5 und 21.6 im Zenit.</div> 

Aus Birx hört man Krakelereien. Ich weiß aus Erfahrung, dass um diese Zeit häufig ein Dorffest stattfindet. Na ja, solange sich hier keiner blicken lässt soll’s uns recht sein. Mir fallen allerdings Blitze auf, die den Himmel kurz erleuchten. Denke zunächst, dass es sich um ein Feuerwerk handelt, also zum Dorffest gehört. Aber als dies über längere Zeit so geht, werde ich misstrauisch. Feuerwerke dauern nicht so lang. An Gewitter denke ich natürlich auch, jedoch ist keines zu erkennen, noch nicht mal am Horizont. Einzig etwas Wolken sind im Süden zu sehen, aber wie weit sie tatsächlich entfernt sind bleibt im unklaren. Vielleicht sind es ja nur die Wolken, wie aus Nordwesten kommend auch nach Süden gezogen sind? Möglicherweise handelt es sich um tatsächlich sehr entfernte Gewitter, die im Alpenraum stattfanden. So zumindest eine mögliche Theorie, die im Nachgang im Gespräch mit einem Kollegen aufkommt.

Neben der Beobachtung habe ich auch ein Astrofotografie Setup am laufen. Kleines Zeug, d.h. APS-C Kamera mit Nachführung. Ich belichte maximal eine Minute je Einzelaufnahme.

Mathias bricht um kurz nach drei auf. Ich mache noch ein bisschen weiter, aber beginne nichts ernsthaftes. Auf der Rückfahrt laufen uns fast zwei Rehe vor das Auto. Aber nichts passiert, denn wir sind wachsam. Kurz vor Ehrenberg kommen wir an einem krass verunglücktem Auto 🚗  im Straßengraben vorbei, das gar nicht gut aussieht. Offenbar gab es einen schweren Unfall. Vor uns fährt langsam ein weiteres Auto und hält schließlich an. Auch wir halten und ich frage, ob Hilfe benötigt werde. Erst jetzt stellt sich heraus, dass es sich um ein Polizeifahrzeug  👮‍♀️ handelt. Wir werden gefragt, ob wir eine Person gesehen hätten, die möglicherweise an der Straße zu Fuß unterwegs gewesen sei. Haben wir nicht, und so bleibt im unklaren, was mit der Person oder den Personen im Auto geschehen ist. Anschließend beginnt ein kleines Verwirrspiel, denn einer der Polizisten glaubt mich zu kennen. Zumindest von der Stimme. Aber schließlich meint er, dass es sich um eine Verwechslung handeln würde. Bin schon ein bisschen nervös geworden, denn der Kontext bleibt unklar. Schließlich verabschieden wir uns und die Polizei lobt uns dafür, dass wir direkt Hilfe angeboten hätten. Was mir auffällt ist die Tatsache, dass uns auf der Rückfahrt Richtung Fulda zahlreiche Autos begegnen. Das war in der Coronazeit absolut nicht der Fall. Zusammen mit der Tatsache, dass es offenbar ein Dorffest gab kann man jetzt konstatieren, dass die üblichen Rahmenbedingungen für astronomische Beobachtungen nunmehr wieder gelten: Ungebetene Gäste, nächtlicher Verkehr…

Mehr als 20 Aufnahmen je 1 min belichtet und in Sequator zusammengesetzt. Modifizierte A6000 und Samyang 85 f1.8 bei f2 und 1600 ASA. Im Zenit kann man richtig Astrofotografie betreiben. Hier ist es gut dunkel :)

Hier noch eine Aufnahme von Anfang August, bei nicht richtig klarem Himmel.

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Insgesamt zeigt sich, welches Potenzial der Himmel in der Rhön tatsächlich hat. Mit dieser Augustnacht endet praktisch dieser Sommer. Eigentlich unfassbar. Dafür hoffen auf den September.

 [[Zurück zur Beobachtungsübersicht >>|Sommer & Herbst 2021]]

Immer wieder faszinierend das Licht auf der Insel. Hier während der Dämmerung in den Weinbergen von Puntagorda.

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Und wieder Wassertank. Gestern schwappte die Calima wohl kurzzeitig hoch zum Gipfel, hat sich dann aber nachts wieder verzogen. Ein dadurch sehr schöner Nebeneffekt ist, dass das Seeing recht gut war und weiterhin wird. Durchsicht ist trotzdem gut. Konnte mich die letzte Nacht, sehr gut erholen. Sicher ein Grund war auch, dass ich nicht durchgezogen habe. Heute möchte ich allerdings bis zum Morgengrauen beobachten.

Klar mit ab ziehenden Zirren im Westen. Ebenfalls abziehender Calima  in mittleren Lagen. Der Nordost-Passat hat wieder eingesetzt, was an den tiefen Wolken im Norden der Insel zu erkennen ist. Oben angekommen ist die Stimmung wieder magisch. Windstill. Zunächst, dann kommt allerdings Wind aus Ost auf. Der Wind soll allerdings nicht stören, zumindest hier nicht. Es ist der übliche ruppige Mittelwind, den es hier oben halt eben gibt.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/M1VoA4Jiy0" title="Untitled"><img src="https://live.staticflickr.com/65535/53404327239_8d50dfb2f0_h.jpg"/></a>Ab heute steht der Mond am Westhimmel. Das aschgraue Licht ist sehr gut zu erkennen. </div>

Heute ist das erste Mal der Mond zu sehen. Er ging wunderschön in der farbenprächtigen Dämmerung unter. Konnte das zum Glück fotografisch einfangen. Zunächst windstill, dann jedoch legt der Wind plötzlich zu. Windrichtung Südost und die Böen setzen mir ganz schön zu. Ich hoffe, dass das jetzt nicht so weitergeht oder gar noch stärker wird, sondern nur um die typische nach Sonnenuntergang auftretende Luftmassenausgleich oder was auch immer diesen Wind verursacht.

Erstes Objekt ist der Nordamerikanebel. Mit [OIII]-Filter wird er tatsächlich sehr strukturiert und wunderbar sichtbar. Schau mir dann noch die „Wall“ an und dann geht es noch mal rüber zum Pelikannebel. Eine gute Einstimmung auf die Nacht.

![[Sh 2-114]]

Trotz intensiver Beobachtung und durchprobieren der gesamten Filterpalette und verschiedenen Okularen mit verschiedenen APs ist leider außer einem kurzen hellen Bogen, um einen etwa 11 mag hellen Stern nichts zu erkennen. Leider geht der Nebel auch durch eine Sterngruppe aus schwachen Sternen, so dass an dieser Stelle der Nebel praktisch unbeobachtbar ist. Dann durchläuft er ein praktisch durch sternloses Gebiet, wo er aber trotzdem nicht zu erkennen ist. Der Grund ist vermutlich recht einfach, nämlich, dass der Nebel an dieser Stelle einfach zu schwach ist. Das helle südliche Ende, was durch einen etwa 11 mag hellen Stern geht ist aber bei 138x mit [OIII] sicher zu erkennen. 

Transparenz ist heute wieder sehr gut. Insbesondere kurz vor  Monduntergang konnte man sehen, dass die Dämmerung sogar grünliche Farben hervor brachte, was ein Indiz ist für hervorragende Transparenz. SQM 21.5, SQM-L 21.6. Bedingungen sind heute wieder deutlich besser als gestern. Der Wind hat wieder komplett nachgelassen. Es ist praktisch absolut windstill. Temperaturen sind hier oben mittlerweile winterlich, denn es werden hier jetzt schon nur 8 °C aufgerufen.

![[NGC 7023 - Irisnebel]]

Grandios! Bei Übersichtsvergrößerung erscheint lediglich ein diffuser, sehr ausgedehnter Nebel um einen sehr hellen Stern. Man könnte ihn auch versehentlich mit dem Halo verwechseln, der bei entsprechend hellen Sternen häufig anzutreffen ist. Aber irgendwie ist dieser größer und dann auch nicht so hell, als dass dies so sein könnte. Vergrößert man stärker, so dass der Nebel strukturiert ist, bleibt er dennoch sehr kontrastarm. Erinnert mich irgendwie an den Flammennebel, wobei dieser im Vergleich ein „Kontrastmonster“ ist. Es zeigt sich bei 219x, ein sehr strukturiertes und komplexes Objekt, was eine geduldige Beobachtung erfordert. Dennoch kann man viele Nebelteile, insbesondere auch die schwachen Außenbereiche relativ gut indirekt beobachten und auch halten. Schwierig sind die schwachen Sterne, insbesondere in Nebelnähe beziehungsweise im Nebel selbst, da sie vom Nebel häufig überstrahlt werden. 

![[NGC 973]]

NGC 937 ist eine so genannte Superthin-Galaxie. Achsverhältnis würde ich auf 1:10 etwa tippen. Die Galaxie teilt ein Staubband, was schwierig zu erkennen ist, aber doch eindeutig. Das Staubband ist nicht bis über die gesamte Länge zu erkennen, jedoch etwas mehr als über zwei drittel. IC 1815 ist eine weitere Galaxie, die zusammen mit NGC 973 ein schönes Paar bildet. Sie hat ein sternförmiges Zentrum an das sich ein kurzer, aber langer Bereich anschließt. Die äußeren Bereiche sind gut abgrenzbar und insgesamt erscheint die Galaxie fast rund, leicht oval. In der Nähe weiter zwei Hintergrundgalaxien gesehen sowie eine in der Nähe von NGC 973. Wunderschöne Beobachtung, wenngleich auch sehr schwer.

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!//IC 444//

Bin an der richtigen Stelle. Zumindest die die ~SkySafari ausweist, ist leider nichts zu erkennen. Probiere unterschiedliche Vergrößerungen, aber der Nebel bleibt tatsächlich unsichtbar. Leider weiß ich nicht welcher der Sterne quasi der jenige ist, der in den Reflektionsnebel eingebettet ist.

Bei diesem Objekt handelt es sich um einen Reflektionsnebel. Wenn man jedoch Fotos betrachtet, erkennt man, dass offenbar auch ein Emissionanteil vorhanden ist.

![[NGC 2316]]

Schon bei Übersichtsvergrößerung gut zu erkennen, denn es zeigt sich ein Sternpaar, das von einem Nebel umhüllt sind. Kann bis auf 351x vergrößert werden und bleibt dennoch recht hell. Der innere Teil ist deutlich heller, d.h. der Teil, der die beiden sternförmigen Knoten umgibt. Es folgt einen diffuser, dennoch recht heller Außenbereich, der ebenfalls oval erscheint, aber nach Westen abgeschnitten ist und zwei Zipfel zeigt.

In den Pausen gehe ich hin und wieder zur Kamera und starte ein paar Aufnahmen. Dabei fällt mir auf, dass irgendjemand weiter unten aufgebaut hat, denn ich sehe das typische Rotlicht eine Astrolampe. Denke kurz daran, ihm einen Besuch abzustatten vielleicht sogar, ihn böse 😈 zu erschrecken. Wie gemein! Mache ich natürlich nicht.

!!Geminiden

Es ist weiterhin absolut still. Nichts regt sich. Kein Geräusch, nur ein lauer Luftzug aus Südost. Die ganze Zeit fallen Feuerkugeln vom Himmel. Das sind praktisch gar keine Sternschnuppen mehr. Einmal wurde hier sogar der ganze Platz beleuchtet. Das scheinen die Geminiden zu sein, wobei Kai vor einigen Tagen meinte, dass das Maximum in der damaligen Nacht Anstand. Mir scheint es, dass dies tatsächliche eher heute ist. Wieder eine wunderbare Nacht.

![[NGC 2626]]

Eigentlich handelt es sich hier um ein Namibia Objekt. Aber nun bin ich mal hier und ich weiß nicht mehr was ich hier noch beobachten soll, so ist mir dieses Ding halt vor die Füße gefallen. Recht einfach aufzufinden. Bei Übersichtsvergrößerung zeigt sich bereits um einen mittelhellen Stern eine diffuse Wolke. Bei 138x lässt sich der Nebel recht gut beobachten. Dabei ist er um den Stern recht hell und zeigt diffuse Fransen, bevor er dann sehr diffus weitläufig abgeht. Hier sind kaum Helligkeitsunterschiede auszumachen. Lediglich eine saubere Kante zum Innenbereich ist wahrnehmbar. Form, insgesamt erdnussförmig. Seeing 2 bei sehr guter Transparenz!

Mittlerweile 4:00 Uhr. Der Kollege, der unten aufgebaut hatte, ist um 3:15 Uhr abgefahren. Das Ganze erinnert mich an eine Beobachtung Nacht vor einigen Jahren an, ebenfalls hier. Dort hatte an derselben Stelle jemand geparkt, und ich habe auch nur Rotlicht gesehen, aber nicht direkt in der Nacht, sondern erst im Nachhinein auf den Timelapse Aufnahmen, die ich damals angefertigt hatte.

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Magischer Untergang der Wintermilchstraße über dem Westhorizont eine halbe Stunde vor der astronomischen Morgendämmerung!

![[NGC 3184]]

Kann mich kaum aufraffen, das letzte Objekt noch mal an zu steuern, denn die Galaxie steht ja schon fast im Zenit. Ich tue es dann aber doch und fange auch noch eine Zeichnung an. Es zeigt sich eine sehr diffuse Galaxie mit einem zentralen Balken von dem zwei helle Spiralarme  abgehen. Dies ist sogar schon bei Übersichtsvergrößerung zu erkennen. Ich vergrößere dann zunächst auf 219x, muss allerdings erkennen, dass dies etwas zu viel ist. Gehe deshalb zurück auf 138x  und dies scheint die optimale Vergrößerung zu sein. Nach einer Zeit des Einsehens neben den zwei hellen Spiralarmen, wird ein weiterer sichtbar. Auf einem der hellen wird ein Knoten erkennbar, der sogar eine eigene NGC Nummer hat. Das Zentrum ist sternförmig, aber sehr schwach, der Zentralbereich diffus und ist auch der hellste Teil der Galaxie. Insgesamt erscheint alles sehr diffus und ineinander überzugehen. Sehr schönes Objekt!

So für heute ist Schluss. 5:40 Uhr. Ich baue langsam ab, aber zum Schluss schaue ich noch mal M 51. 6°C. 21.66 im Zenit. 21.52 ohne Linse.

Dies ist nunmehr die siebte Nacht. In einer Serie von sehr guten Nächten. Bin darüber sehr froh!

[[<< Zurück zur letzten Nacht|13. Dezember 2023 - Wassertank]] | 
[[ Weiter zur nächsten Nacht >>|15. Dezember 2023 - Wassertank]]

!Tagsüber

Tagsüber mega transparenter Himmel, typisches Ausflugswetter. Und Ausflüge werden gemacht.

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Blick zur Wasserkuppe und nach Birx.

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Blick von der ehemaligen innerdeutschen Grenze rüber zur Langen Rhön.

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!Die Nacht

Zweite Nacht. Bin mit Mathias verabredet. Beobachtungsplatz immer noch nicht gut befahrbar. Mal gucken was wir machen werden. Notfalls geht es eben auf die Wasserkuppe. Dort stört einzig der Verkehr. Aber ist halt so. Meine Sache ist es jedenfalls nicht, an irgendwelchen Ecken und Parkplätzen rum zu stehen und zu hoffen, dass keiner durchfährt. Aber immer wieder fahren Leute durch und man fragt sich, was das ganze soll. Aber alles lamentieren und hineinversetzen in die Lage der anderen nützt am Ende ja nichts, denn gestört wird man ja sowieso. Man muss sich da einfach entspannen und dann klappt das, zumindest halbwegs.

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Bin auf jeden Fall zum Sonnenuntergang in der Nähe des Beobachtungsplatzes. Möchte den Sonnenuntergang beobachten und auch den Erdschatten aufgehen sehen. Und ja, er geht auf und wie er aufgeht. Krass! Ausnahmebedingungen. Zudem kann man bis zum Thüringer Wald rüber gucken und bis dort liegt alles unter einer dicken Nebeldecke. Das sind extrem gute Voraussetzung! 

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Mathias trifft schließlich ein und es ist schon fast dunkel. Wir schauen uns den Weg an und beschließen, die Schneedecke zu befahren.  Und es funktioniert! Das kurze Stück ist schnell überbrückt und hinten liegt kein Schnee mehr. Wir schaffen es bis zum Platz.

Es wird schnell aufgebaut und noch länger kollimiert. Aktuell stört noch das Licht von der Wasserkuppe, da die Skipiste dort mit Flutlicht bestrahlt wird. Um 20:45 Uhr ist der Spuk vorbei und der Himmel wird noch mal besser. Das SQM-L meldet 21.45.

![[Komet C/2022 ZTF E3]]

Der Komet ist das erste Objekt. Mathias sträubt sich ein wenig ihn durch den 21 Zöller anzuschauen. Denn er ist nur mit 8 Zoll am Start und möchte sich „den Eindruck nicht versauen“. Denn auch er wird den Kometen 💫 gleich in seinem Gerät beobachten.

![[Abell 539]]

Zweite Nachschau und jetzt mit 21 Zoll. Wunderschön die Dreierkette aus Galaxien. Beim Durchstreifen des Feldes mit entsprechender Karte weitere sechs Galaxien „entdeckt“. Eine Nachschau ist das jetzt nicht mehr.

<<<
!Digitale Zeichnung…bringt es das jetzt?

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![[Abell 539]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{Abell 539}}

</div>

Ich sitze am iPad und zeichne beziehungsweise verifiziere. Das funktioniert gut. Aber man muss sagen, dass man in irgendeiner Form eine Art Ablage benötigt, denn dafür ist das iPad doch zu schwer. So ist es dann auch, dass ich die neuen Objekte heute und gestern wieder klassisch in mein kleines Büchlein zeichne. Eine Schwäche hat sich schon in Spanien gezeigt: bei Temperaturen unter dem Gefrierpunkt, ich würde schätzen -5 °C wird der Akku des iPads einfach offenbar so kalt, dass sich das Gerät abschaltet. Man kann dem natürlich entgegenwirken, wenn man das Gerät zum Beispiel am Körper trägt, wenn man nicht zeichnet. Das sollte ausreichen. Beim zeichnen selbst wird das Display hingegen warm, was dem Effekt natürlich dann wiederum entgegen wirkt. Aufgrund der geringen Displayhelligkeit hält der Akku beim zeichnen über lange Zeit ohne Probleme durch, so dass man, wenn man das Gerät nicht noch für andere Dinge verwendet, zum Beispiel Musikhören etc., praktisch durch eine längere Nacht kommt. Dazu ist allerdings eine Umhängevorrichtung, die ich sogar habe aber noch nicht benutze, notwendig. Das Gerät einfach in die Hutablage oder ins Auto zu legen, funktioniert bei tiefen Temperaturen und des schwächelnden Akkus dann eben möglicherweise nicht. Heute hingegen ist es kein Problem, denn die Temperaturen liegen im positiven Bereich. Das Display ist im übrigen kein Problem, denn das kann gedimmt und sogar auf Rot umgeschaltet werden. Zusätzlich kann die Helligkeit der Zeichenebene angepasst werden. Insgesamt hat das auch Vorteile, denn die Kombination ist deutlich dunkler als ein rot beleuchtetes weißes Blatt Papier. Damit kann praktisch unterbrechungsfrei beobachtet und gezeichnet werden, eine Adaption des beobachtenden Auges entfällt bis auf das „scharf stellen“.
Gerade an Abell 539 zeigt das iPad seine Stärken. Im Kern könnte ich, solange der Orion für mich erreichbar ist, jede Beobachtungsnacht versuchen weitere Galaxien zu erkennen und dann auch zu zeichnen. Das ist natürlich schwierig 😞 und das kennen vermutlich auch viele Zeichner und führt unweigerlich zur Frage: wann ist eigentlich eine Zeichnung final abgeschlossen? Daher gilt auch hier, irgendwann muss man einen Schlussstrich ziehen und mit dem Objekt „abschließen“. Dies geht natürlich auf Papier einfacher, denn man kann ja nicht ständig seine Papierzeichnungen mit sich herumtragen und dann wiederum nachschauen, ob man das Objekt perfekt getroffen hat. Wobei ich genau das tatsächlich auch schon bei komplexeren Objekten, wie zum Beispiel [[M17]], getan habe: Ich hatte hier den digitalen (invertierten) Scan auf dem iPad dabei und konnte dann in einer Nachbeobachtung am Teleskop wiederum vergleichen. Ich habe in diesem Zuge das Bild (auf dem iPad) entsprechend bearbeitet und mit Notizen versehen. Anschließend wurde die originale Papierzeichnung auf dieser Basis erneut überarbeitet, um die neuen Strukturen ebenfalls auf Papier zu bannen und anschließend wurde alles wiederum erneut digitalisiert. Wichtig ist, wie bereits erwähnt, dass man irgendwann die Dinge abschließt. Das fällt mit dem digitalen Zeichnen besonders schwer.

Vielleicht sollte ich mal die Umhänge- und Haltevorrichtung für das iPad tatsächlich mal auspacken und ausprobieren. Möglicherweise sind die Vorteile wenn das Gerät umgehängt und gehalten werden kann am Ende doch größer als bei Papier. Aber man sieht schon, ich bin am hin und her überlegen und ändere auch immer wieder meine Meinung und auch vermutlich nicht das letzte Mal.

<<<

Der Rabe „klettert“ den Horizont entlang. Perfekte Bedingungen, aber man sieht tatsächlich, das feinste Schleierwolken kurz durchziehen. Das ist visuell nicht erkennbar, nur fotografisch nachweisbar. Oder ist es Airglow?

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Mathias ist dort zugange: Sombrerogalaxie! Die Lichtverschmutzung nimmt derweil weiter ab, der Himmel wird noch dunkler.

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![[NGC 4244 - Silver Needle]]

Sehr schön bei Übersichtsvergrößerung (83x). Hebt sich schon gut vom Himmelshintergrund ab. Optimale Vergrößerung liegt bei 231x und dann zeigt sich ein helleres, zeitweise strukturiertes Zentrum mit hellerem Knoten. Enden auf beiden Seiten etwas heller, südliches Ende zeigt sich sehr definiert mit messerscharfer Struktur. SQM-L 21.66.

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Wunderbare Aufnahme! Die tief stehende und quasi fast auf dem Horizont liegende Wintermilchstraße ist wunderbar zu erkennen. Sowas sieht man selbst auf La Palma nicht besser. Einfach unglaublich diese Nacht.

Das nächste Objekt ist eigentlich eines von Mathias. Er schwärmt von einer Galaxie mit Namen M 100.

![[M 100]]

Runde, diffuse Galaxie bei Übersichtsvergrößerung mit zigarrenförmiger Galaxie in der Nähe. Am besten bei 231x. Dann sind  drei bis vier Spiralarme um das helle, aber nicht sternförmige Zentrum zu erkennen. Zentrum rund und relativ ausgedehnt, aber ohne Struktur. M 100 hat zwei kleine Begleiter, die recht gut erkennbar sind. Hellere von beiden mit Helligkeitszunahme zum Zentrum hin, andere hingegen nicht.

Sehr gute Nacht. Etwas windig, aber nicht zu störend. Niedrige Luftfeuchtigkeit um 50 %, +1 °C, Transparenz sehr gut. Sehr dunkler Himmel. Möglicherweise durch abdeckendem Nebel beziehungsweise Hochnebelschicht, die offenbar sehr weiträumig wirkt, da der Lichtbuckel von Frankfurt kaum zu erkennen ist und der von Fulda ebenfalls nicht. Sonst am Horizont wenig Lichtverschmutzung, außer nach Osten hin. Nach Norden ist das nahegelegene Dorf kaum bis überhaupt nicht zu erkennen. Wirklich Spitzenbedingungen.

21.85 -21.77. Krass. Abbau gegen vier Uhr. Schöne Mondsichel, die wie gestern orangerot aufgeht.  Am nächsten Tag zeigt sich, dass die Nebeldecke gehalten hat. Daher auch die Spitzenbedingungen. La Palma und Namibia für eine (halbe) Nacht!

Am nächsten Tag entwickle ich die Aufnahmen und vergleiche sie auch mit denen aus Spanien vor ein paar Wochen. Dabei zeigt sich, dass der Himmel dort offenbar doch noch mal besser ist, was man am Kontrast der Milchstraße besonders gut nachvollziehen kann. Tja, die Euphorie hat manchmal so ihre Tücken. Trotzdem können wir sehr, sehr zufrieden sein.

 [[zurück zur letzten Nacht >>|13. Februar 2023 - Wasserkuppe]]

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Nächste Nacht. Wieder unterhalb des Wasserreservoirs. Aber etwas tiefer, da hier ruhiger. Wind aus NE. Noch auszuhalten. Bin zwar wieder runter, aber 500m tiefer gibt es Wolken. Also wieder hoch.

Trocken. Mal sehen. Der Wind soll ab Mitternacht kräftig zu legen. Dann zwei Nächte richtig blasen. Da wird dann wohl nix gehen. Zunächst aber auf heute konzentrieren. Wind lässt zunächst nach. Ob er nur wieder Luft holt?

[[Hartl-Dengel-Weinberger 2]]: Ovaler Nebel um eine Sterngruppe. Bei 40 fach mit OIII einfach sichtbar. Am schönsten aber bei 65 fach. Der OS Trumpler 3 steht in unmittelbarer Nähe. Sehr schönes Bild!

Wind nimmt deutlich zu. Jetzt sehr böig. Mal sehen wie lange das noch gut geht.

[[Simeis 147 um HD 246646]]: Nachbeobachtung. Alle bisherigen Details können heute bestätigt werden. Beobachtung bei 40 und 65 fach. Bei 65 fach zeigen sich zudem einige Details, wie ein hellerer Knoten und eine Nebelsichel zwischen zwei Sternen. 40 fach zeigt hingegen besser, dass das Sternentrapez eindeutig von einem Nebel umgeben ist, der auch der einfachste zu beobachtende Teil ist. Sehr schönes Objekt. Hat aber mit den HII Aufnahmen nichts zu tun.

''//Simeis 147 um Stern HD 246128//'': Dies ist ein unscheinbarer Doppelstern. Er befindet sich mittig in einer flachen, geschwungenen, V-förmigen Sternenkette. Mit OIII und 65 fach scheint diese von einem Nebel umgeben zu sein. Das was bei Filterbeobachtungen nahe liegt. Aber tatsächlich liegt der Nebelteil quasi um die Sternenkette herum. Ein Teil bricht aber aus, der manchmal schwach aufblitzt. Alles in allem nochmal deutlich schwerer als der Teil um HD 246646. Absolut grenzwertig. Mache erstmal eine Pause, da das Objekt quasi unbeobachtbar ist, weil aktuell im Zenit stehend. SQM-L zeigt Werte um 21.89 an. Perfekte Bedingungen! 

Der Wind nimmt ab. Tobt sich woanders aus. Aber wehe wenn er wieder dreht.

''//Simeis 147 um HD 246128//'': Also hin und wieder ist ein schwacher Schein in einem Trapez bestehend aus vier unterschiedlichen Sternen zu erkennen. Unsicher. Das Ganze bei 65 fach und OIII beobachtet. 40 fach hilft hier nicht weiter, da man die Sterne ausreichend separieren muss, um nicht einem Überstrahlen vom Filter her aufzusitzen. Beim „Glow“ um die ganze Sternenkette bin ich unsicher. Eher nicht, denn dieser Abschnitt ist lt. POSS dunkler als der prominentere im Trapez. Insgesamt passt das Ganze aber: Dieser Abschnitt von Semeis 147 ist schwächer als der um den Stern HD 246646. Das heisst aber auch, dass der Rest des SNR, da noch schwächer, nicht gehen wird.

Wind nimmt in Böen weiter stark zu. So stark, daß er mir den Stuhl umhaut. Schnell abbauen, bevor noch das Teleskop zu fliegen anfängt. Es ist kurz nach Mitternacht. 10 min später bin ich auf 1500m am Reventon. Nochmal aufbauen. Habe keine Lust oder doch? Erstmal umschauen. Himmel ist gut. 21.86. Kein Wind, aber feucht. Im Nu sind die Scheiben beschlagen. Neh, so nicht. Kein Aufbau. Mache ein paar Fotos. Bin nochmal eineinhalb Stunden zu Gange. Das ist ein toller Ort hier. Der geniale Blick über Puntagorda, der Wald. Einfach traumhaft. Dann gegen zwei Uhr geht es nachhause. Morgen Pause. Starker Wind ist angekündigt.

Ein Höhentief zieht von Norden an der Westküste Marokkos entlang. Soll bis zu Lanzarote herunterziehen. Da das Azorenhoch nicht weicht, bildet sich ein starker Nordost-Wind als Konsequenz des hohen Luftdruckunterschieds, d.h. die nächsten zwei Tage wohl keine Beobachtung. Auf dem Roque regnet es.

[[<<Zurück zur vorangegangenen Nacht|13. Januar 2018 - La Palma]] | [[Weiter zur nächsten Nacht >>|15. Januar 2018 - La Palma]]

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<<<.tc-big-quote
!!Grüner Airglow

In der ersten Nachthälfte tritt verstärkt rot leuchtendes Airglow auf im Süden auf, wo die Magellanschen Wolken stehen. Rest bleibt praktisch immer in Horizontnähe. 

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Das grüne Airglow taucht ab Mitternacht auf und kann den ganzen Nachthimmel überziehen. Visuell scheint der Nachthimmel dann „heller“ zu sein. Dies ist dann auch mit dem SQM-L messbar, denn sehr hohe Werte um 22.0 werden dann nicht mehr erreicht.

Grünes Airglow ist übrigens gar nicht so selten. Habe dies auch in ähnlicher Form auf [[La Palma beobachtet|21. September 2020 - La Palma]].

Wie es sich über eine komplette Nacht entwickelt habe ich [[auf Tivoli 2019 fotografisch festgehalten|02. Juni 2019 - Tivoli Astrofarm]].

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Schnell geht auch dieser Astrourlaub wieder zu Ende. Noch drei Nächte und dann ist Schluss. Die letzte Nacht kann nicht beobachtet werden, da die Abreise bereits morgens um sieben sein wird. Hintergrund ist die Tatsache, dass wir einen negativen Antigen Test benötigen, um die Rückreise nach Deutschland antreten zu können. Leider haben sich die Dinge hier in Namibia wenig erfreulich entwickelt, denn mittlerweile wird das Land als Hochinzidenzgebiet geführt. Dies kann natürlich hier schnell passieren, da bei 2 Millionen Einwohner wenig Spielraum für statistische Spielereien lassen, wenn zu dem circa 300.000 Menschen allein in der Hauptstadt Windhuk leben, wo das Infektionsgeschehen stattfindet.

Heute stört der Mond zum ersten Mal. Untergang ist um 21:30 Uhr. Bedingungen sind heute gut. Absolut windstill. Kälter als gestern mit +8 °C.

[[NGC 3211]]: im reichen Sternfeld schwierig auf zu finden. An der richtigen Stelle zeigt sich dann bei hundertfach ein winziger Nebel. Bei 780x  zeigt sich ein runder bis leicht ovaler ringförmiger Nebel, dessen Inneres gefüllt ist. Bei geduldiger Beobachtung und sehr gutem Seeing werden diverse Knoten auf dem Rand sichtbar. Diese sind schwierig zu beobachten, da der Nebelring unruhig wirkt. Seeing 1-2.

[[IC 2553]]: winziger Nebel bei 100x. Erscheint im Sternfeld leicht länglich mit  grüner bis türkiser  Farbe. Kann bis auf 800x vergrößert werden. Dann zeigt sich ein komplexer Nebel mit einem kleinen Balken, der einen helleres Ende hat. Außerhalb des Balkens und innerhalb eines sehr hellen Nebelgebietes, tauchen weitere, insgesamt drei Knoten auf. Seeing 2. 

Als Nächstes schaue ich mir die Antennengalaxien an. Spontan entschließe ich mich auch eine Zeichnung zu beginnen. Bei 454x glaube ich die optimale Vergrößerung gefunden zu haben. Die beiden Galaxien zerfallen in helle und dunkle Gebiete mit vielen Details und sternartigen Knoten. Komplexität ist kaum zu beschreiben. 

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Anschließend brauche ich eine Kaffeepause. Danach ist es schon fast Mitternacht. Unglaublich wie die Zeit vergeht. Heute ist einer der ersten Nächte, wo ich tatsächlich die notwendige Ruhe und Ausgeglichenheit bei der Beobachtung finde. Das war leider viele Nächte zuvor nicht der Fall. Das lag vermutlich auch daran, dass ich parallel versucht habe zu fotografieren. Man muss sich einfach für eine Sache entscheiden, sonst wird das Ganze zu stressig. Das weiß ich natürlich, aber ich will das Maximum herausholen. Aber ich glaube das ist ein Fehler. Beim nächsten Mal gelobe ich Besserung!

Nächstes Objekt ist [[Fr 2-8]]: leider nicht in ~SkySafari enthalten. Deshalb habe ich mir einen Stern notiert, der in der Nähe steht. Es handelt sich um HD 121821. Er steht nur zehn Bogenminuten entfernt vom Zielobjekt. Mit einem UHC ist ein zartes Glimmen an der richtigen Position zu erkennen. Ohne Filter auch sichtbar, wenn auch der Kontrast geringer ist und somit die Erkennbarkeit im Sternfeld schwieriger. Es zeigt sich im Wesentlichen ein bipolarer Nebel bei 125x, wobei zwei parallele, ovale Nebelwolken nebeneinander zu sehen sind. Bei geduldiger Beobachtung drängt sich immer wieder eine Art „Ringcharakter“ auf, der offenbar dadurch entsteht dass die Enden der Wolken eine Verbindung haben. Ich hasse es, wenn ich solche Objekte mit individuellen Aufsuchkarten einstellen muss! Letztendlich ist der Filter zur Sichtung nicht zwingend notwendig, denn der Nebel zeigt sich auch ohne. 

__Kommentar:__ Es handelt sich zunächst um eine falsch klassifizierte Galaxie. Erwähnt wurde das Objekt erstmals in einem Paper 2006. [FMP2006b] = ''Frew''+Madsen+Parker = Fr 2-8 (PNG 313.8+10.3). Tatsächlich ist es also ein Planetarischer  Nebel.

Ich mach eine kurze Dobson-Pause und widme mich dem Feldstecher. Die [[Kleine Magellansche Wolke|NGC 292 - SMC]] steht mittlerweile ausreichend hoch, um sie im Feldstecher lohnend und bequem beobachten zu können. Ich fertige auch eine Zeichnung an.

Wie letzte Nacht auch beginnt gegen 1:00 Uhr der Wind zuzulegen. Kommt aus Nordost. Da Seeing bricht zunehmend ein und als ich einen Blick auf Jupiter werfe, kann man kaum etwas erkennen. 

Nächstes Objekt ist NGC 55. Habe bereits vor ein paar Nächten eine Zeichnung begonnen, die jetzt weiter entwickelt werden soll. Die Galaxie steht zwar noch tief, aber sie ist ja ausreichend hell und steigt sehr schnell.

Dies war die letzte Nacht des diesjährigen Namibia Aufenthalts. Bin gespannt 🤩 wie es nächstes Jahr aussieht.

[[<<Zurück zur vorangegangenen Nacht|13. Juni 2021 - Tivoli Astrofarm]] | [[Zurück zum Artikel >>|Namibia Juni 2021]]

Zweite Nacht. So viele soll es tatsächlich gar nicht mehr geben. Vielleicht noch zwei dann ist Schluss. Zumindest wenn man der Vorhersage glaubt. Deswegen heißt es jede Nacht nutzen! Ein kräftiges Hoch hat sich breitgemacht und ich hoffe, dass die Luftfeuchtigkeit heute Nacht deutlich sinken wird. Angekündigt sind auch bis zu 5° C höhere Temperaturen. Gestern Morgen waren es nur +6 °C. Das hätten auch Temperaturen im Winter sein können. Heute prägen vor allen Dingen Schönwetterwolken den Himmel, der sich extrem klar zeigt. Der Regen 🌧️ hat natürlich auch eine gute Seite: Staub ist keiner mehr in der Atmosphäre.

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Trotzdem haben wir heute Nacht wieder hohe Luftfeuchtigkeit. Bis circa 2:30 Uhr wird der Taupunkt nicht erreicht, danach aber schon. Dennoch ist es ganz gut auszuhalten, denn die Luftfeuchtigkeit ist heute etwas niedriger und das reicht schon.

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![[M 101 mit SN 2023ixf]]

Ich schließe noch mal mit M 101 ab. Sichte noch mal alle Knoten, die fast alle übrigens NGC Nummern tragen und stelle fest, dass ich zwei bisher übersehen hatte. Die sind allerdings an der Wahrnehmungsgrenze. Von daher ist das okay. Das Objekt hat sich mit der vielen Beobachtungszeit quasi in mein Gedächtnis eingebrannt. Und das ist gut so.

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Als Nächstes geht es in die südliche Sommermilchstraße. Um das nächste Objekt aufzusuchen, muss ich in die Sternwolke M 24. Bei maximaler AP surfe ich sie ab und lande tatsächlich auch bei den bekannten Dunkelnebeln. Die helle Schützenwolke scheint mir mit bloßem Auge ähnlich hell wie in Namibia zu sein. Unglaublich. Sehr gute Bedingungen!

![[NGC 6578]]

Bei diesem Objekt handelt es sich um einen Planetarischen Nebel im Sternbild Schütze, der unweit von [[NGC 6567]], einem weiteren Exemplar dieser Objektklasse, steht. Vermutlich optimal beobachtbar von Namibia aus, aber offenbar von mir bei diversen Vorbereitungen immer wieder übersehen. Unweit der beiden - etwas nördlich - steht auch Minkowski 1-50, der jedoch sehr lichtschwach ist und eigentlich nur etwas für große Geräte sein sollte. Auch er steht auf meiner Liste, aber mal schauen, ob ich überhaupt was erkennen kann.

Bei 65x im Sternfeld nicht zu erkennen. Gehe direkt auf 420x und nun ist an der richtigen Stelle neben einem helleren Stern ein runder, diffuser, aber heller Fleck zu erkennen. Steigere die Vergrößerung auf 800x. Es zeigt sich bei geduldiger Beobachtung ein runder, in der Mitte etwas dunkler Nebel. In Momenten mit perfektem Seeing ist sogar blickweise immer wieder der Zentralstern zu erkennen. Es handelt sich hierbei um eine sichere Beobachtung, denn unweit und außerhalb des Nebels steht - in etwa gleichem Abstand wie der Durchmesser des Nebels selbst einnimmt - ein sehr, sehr schwacher Stern, der indirekt knapp gehalten werden kann, sofern die Seeingbedingungen es kurzzeitig zulassen. Mega Beobachtung und Mega Bedingungen! Bei der Beobachtung sind hellere Sterne - wie bei Höchstvergrößerungen üblich - zwar etwas aufgeblasen, aber insgesamt sieht das Ganze aus, als würde man bei circa 400x beobachten, also der Hälfte der gewählten aktuellen Vergrößerung.

__Kommentar:__ Haha, direkt eine Doppelbeobachtung eingefangen, so denke ich wenig später, denn ich dachte mich vertan zu haben und NGC 6567 eingestellt gehabt zu haben. Warum ich überhaupt den PN auch in ~SkySafari markiert hatte, bleibt mir im Nachgang sowieso ein Rätsel. Hatte [[NGC 6567]] schon von Namibia aus gemacht. Morgen Nacht ist die Verwirrung schließlich komplett!

Ich schmeiße mal die SQMe an: 21.47 im Zenit mit dem Gerät ohne Linse und 21.6 mit. Die helle Milchstraße sollte die Werte beim Gerät ohne Linse verschlechtern. Gestern habe ich 21.6 gemessen als die Milchstraße noch sehr tief stand. Das scheint mir tatsächlich der realistischere Wert für diesen Beobachtungsort zu sein. Krass wie das Gerät ohne Linse die Schwachstellen eines Beobachtungsortes aufdeckt. Traue mich gar nicht so richtig in der Rhön damit zu messen. Aber eins zeigen die Geräte schon im direkten Vergleich: das Gerät mit Linse ist deutlich flexibler einsetzbar, denn man kann die dunklen Spots am Himmel messen, was mit dem ohne Linse nicht geht. Letzteres ist für die Beurteilung eines Platzes aber wohl insgesamt besser geeignet.

![[Kohoutek 4-10]]

Winziger PN, der nicht auf Filter reagiert. Sehr seltsam. Kann jedoch aufgrund seiner Helligkeit sogar im 14 Zöller bis auf 800x vergrößert werden, denn nur bei hoher Vergrößerung lässt er sich erkennen. Es zeigt sich um einen schwachen Stern, ein diffuser runder Glow, der nicht vom Stern selbst her rühren kann, denn die umliegenden Sterne im Feld sind sogar etwas heller und zeigen keinen solchen Glow. Bei 420x schon erkennbar, was ich als Mindestvergrößerung ansetzen würde. Mega Highlight zum Abschluss der Nacht, denn danach setzt schon die Dämmerung ein. 

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Der Mond 🌜 geht schließlich auf und ich packe in Ruhe alles ein. Wunderbare Stimmung! Rechts oben Jupiter mit Monden.

Der ganze Wagen ist wieder mit Tau überzogen. Dennoch ist es nicht so schlimm wie gestern und während der Motor ackert und die Lüftung rotiert, mache ich noch mal ein paar Aufnahmen vom gerade aufgehenden Mond. Mittlerweile ist es auch schon deutlich heller. Auf dem Rückweg fahre ich sehr langsam und das ist gut so: in einem Moment kreuzt ein Wildschwein meinen Weg und rennt direkt über die Straße. So ist das hier, die Tiere sind überall und auch nachts hört man sie häufig. Mittlerweile habe ich mich daran gewöhnt, wenngleich ich gestern beim knacken im Unterholz immer wieder Schiss bekommen habe. Aber das ist total unnötig, denn was soll schon passieren?

[[<< Zurück zur letzten Nacht|13. Juni 2023 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|15. Juni 2023 - Pinar de Araceli]]

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Wie sieht hier eigentlich der Tagesablauf aus ? Ganz einfach. Vormittag wird bis zum Frühstück um 11:00 Uhr geschlafen. Anschließend versucht wieder 1.5 - 2 Stunden zu schlafen bis 15:00 Uhr. 15:30 Uhr gibt es Kaffee und Kuchen. Danach gegen 16:30 Uhr geht die Vorbereitung der Geräte bzw. des Equipments los. Für mich heißt das erstmal Tee kochen. Sachen raus tragen. Teleskop von der Plane befreien. Gegen 17:00 Uhr ist Sonnenuntergang. 18:30 Uhr astronomische Dämmerung. Der 25" Dobson ist übrigens in einem tadellosen Zustand.

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Wie jeden Tag hier. Nahezu windstill. Klar bis auf ein paar Zirren (siehe Foto). Nach Einsetzen der astronomischen Dämmerung 21.76 im Zenit mit dem SQM-L.

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Erstes Objekt ist der Rosettennebel.

''NGC 2244, 18:30 Uhr:'' Spontan eingestellt. Passt nicht ins Gesichtsfeld. Am besten mit UHC-Filter sichtbar. Ohne Filter etwas blass, da direkt im Zodiakallichtkegel stehend.

Hat mich jetzt nicht so vom Hocker gehauen.

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''Abell 25, 21:05 Uhr:'' Schwaches, rundes Glimmen zwischen zwei Sternketten. Im Nebel selbst ist kein Zentralstern zu erkennen. Lediglich an seiner Nordwestseite beziehungsweise östlichen Seite sind zwei schwache Sterne erkennbar. Nur mit OIII-Filter und am Besten bei großer AP von 6.5 mm und hundertfacher Vergrößerung erkennbar. Bei 280 fach relativ schwierig. Bei hundertfach kann der Nebel indirekt gerade so gehalten werden. Nach langer und intensiver Beobachtung wirken vor allem die nordwestliche Flanke, sowie die südöstliche etwas heller, als der restliche Nebel.

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![[Abell 25]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{Abell 25}}

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Das SQM-L zeigt 21.76 im Schnitt im Zenit an. Das Seeing ist leider schlecht. Es kommt leichter Wind aus Osten auf. Momentan sind es +9 °C.

Ich war gerade fertig, als ich Besuch von einem Novizen bekam. Er begleitet einen Astrofotografen. Also mache ich mal kurz den Maschinisten und zeige ein paar Highlights des Himmels. Unter anderem waren dies der Tarantel Nebel, Eta Carinae sowie Saturn und anschließend Jupiter. Die Begeisterung ist groß, insbesondere bei Saturn. Der Kollege geht jetzt erst mal schlafen, kommt aber dann gegen 3:30 Uhr zurück, um dann noch mal den Mond anzuschauen. Denn der geht um 3:20 Uhr auf.

Ich mache weiter mein Programm. Als nächstes steht ein alter Bekannter auf dem Zettel.

''M51, 22:10 Uhr:'' M51 kulminiert gerade. Das heißt hier, dass die Galaxie 20° hoch steht. Trotzdem macht die bekannte Spiralgalaxie des Nordhimmels im 25 Zöller eine gute Figur. Leider wird das Seeing - mit dem aufkommenden leichten Wind aus Westen - immer schlechter. So verschwimmen selbst die Spiralarme.

''NGC 3918, 22:45 Uhr:'' Kleiner, heller, blaugrüner Planetarischer Nebel. Farbe sehr schön bei minimaler Vergrößerung von 100 fach erkennbar. Bei über 600 fach ist der Nebel immer noch sehr hell. Form rund bis leicht oval. Kein Zentralstern. Bei indirekter Beobachtung wird ein schwacher Halo bzw. diffuse Nebelschale sichtbar. Mit OIII-Filter ist sie besser zu erkennen. Dann zeigen sich auch zwei Ansen als gegenüberliegende Ausläufer. 

''NGC 3132 - "Eight-Burst Nebel", 23:35 Uhr:'' Heller leicht ovaler Nebel um einen hellen Stern. Bei Steigerung der Vergrößerung auf über 600 fach zeigt sich eine ovale, helle Nebelschale, die den Zentralstern konzentrisch umgibt. Diese zeigt sich am Rande mit teilweise schwachen Ausläufern. Der Raum zwischen der Nebelschale und dem Zentralstern ist mit einem schwachen Nebel gefüllt. 

__Anmerkung:__ Bei dem Zentralstern handelt es sich tatsächlich um einen Vordergrundstern. Der Zentralstern befindet knapp neben diesem, ist aber mit 25" nicht zu sehen.

''NGC 6744, 0:30 Uhr:'' Spiralgalaxie im Sternbild Pavo. Ovale, relativ große Galaxy mit diffusem, recht hellem Kern. Spiralarme diffus und schwach, aber erkennbar. Der kleine Begleiter NGC 6744 A wird am besten bei 280 fach sichtbar. Aber nur, wenn man genau weiß wo er steht. Er ist zigarrenförmig und sehr diffus. Bei 280 fach zeigt sich das Zentrum von NGC 6744 mit weiterer Helligkeitzunahme zur Mitte hin. Blickweise werden auch vereinzelt Strukturen sichtbar, die aber aufgrund des nicht so guten Seeings unsicher bleiben.

''Abell 37, 2:55 Uhr:'' Ewig gesucht, bis ich Abell 37 schließlich doch noch gefunden habe. Bei 280 fach und UHC Filter wirkt der Nebel unruhig. In Momenten relativ guten Seeings scheint der Nebel in den Außenbereich Knoten beziehungsweise kurze Kanten zu haben. Dann erscheint auch das Zentrum blickweise etwas dunkler.

Und dann steht ein Klassiker an.

''NGC 7293 - Helixnebel inklusive Hintergrundgalaxie:'' Wunderschön bei hundertfach und OIII Filter. Der Helixnebel erscheint so wie man ihn von Fotografien her kennt. Mein Ziel ist auch die Hintergrundgalaxie. Bei 180 fach und AP von 3.5 mm wird die schwache Galaxie tatsächlich Blickweise immer wieder sichtbar. Bildet mit zwei Sternen ein gleichseitiges Dreieck. Einer von beiden kann indirekt nur schwer gehalten werden. Sichere Beobachtung, da die Galaxie bei relativ gutem Seeing flächig wirkt.

Der Novize ist wieder aufgetaucht. Ich lasse ihn noch mal einen Blick auf den Helixnebel werfen. Dann stelle ich für Ihnen kurz den Mond ein. Dieses ist gar nicht so einfach so knapp über dem Horizont. Danach verabschieden wir uns und ich werfe einen Blick auf die SMC.

''47 Tucanae, 04:00 Uhr: ''Der Mond ist zwar schon aufgegangen, stört die Beobachtung aber kaum. Der Kugelsternhaufen zeigt sich von seiner besten Seite. Das Zentrum ist hell und kann bei 100 fach schon fast aufgelöst werden. Der berühmte Kugelsternhaufen sieht rund aus und ist sehr dicht. Bei 280 facher Vergrößerung wirkt das Zentrum dreieckig.

''NGC 346, 4:15 Uhr:'' Bei hundertfach bereits eindrucksvoll zu sehen. Diffuser Nebel mit eingebettetem Sternhaufen. Form halbkreisförmig mit heller gerader Kante. Mit UHC-Filter wird der Nebel deutlich größer. Es zeigt sich schließlich ein Propeller in dessen Mitte der Sternhaufen sitzt. 

So jetzt bin ich aber platt. Es ist 5:00 Uhr und im Westen kommt schon die Dämmerung. Das war hier bisher die längste Nacht.

[[Weiter zur nächsten Nacht>>|15. Mai 2015 Tivoli]] 

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!!La Podona 

Zunächst windstill, dann aber doch stellenweise sehr windig. Ab Mitternacht abflauend bis es schließlich wieder windstill ist. Temperatur um +10 Grad Celsius aber mit dem Wind trotzdem kalt. Ganz dünne Zirren ziehen durch, die dann aber verschwinden und einen sehr transparenten Himmel zulassen.

Der Beobachtungsplatz am Haus.

Zunächst wollte ich noch, dass der Nachbar seine Außenbeleuchtung abschaltet. War leider nicht da, also habe ich die störende Birne leicht rausgedreht. Auf dem Rückweg, dann vom anderen Nachbar gesehen worden. Und jetzt kommt's: Der Nachbar erscheint eine halbe Stunde nach der Aktion und schaltet noch mehr Lampen ein! Egal ich beobachte erstmal sowieso nach Westen, da ist das mir Wurscht.

Auf dem kurzen Fußmarsch dorthin, habe ich dann diese Fotos hier gemacht über den Weinberg hinweg:

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Das Zodiakallicht mit der Venus ist bereits zu Beginn der Dämmerung sichtbar.

Wollte danach mit Abell's in der Cassiopeia starten. Die ist aber schon hinter den Bäumen verschwunden. 
Erstes Objekt ist dann schließlich der Rosettennebel. Habe ich Ewigkeiten nicht mehr beobachtet.

''NGC 2244, Open Cluster in Monoceros, 14.03.2015 20:50:00'', Schon ohne Filter gut zu sehen. Mit UHC viele helle Nebelfetzen zu sehen, die sich ringförmig um den OS winden. Wunderbarer Anblick.	

''C/2014 Q2 (Lovejoy), Comet in Cassiopeia	14.03.2015 20:55:00'', Feldstecherobjekt. Direkt neben Ruchbah, oder Delta  Cass im 10x50 zu erkennen. Runder Nebelball mit Helligkeitszunahme zum Zentrum hin, aber ohne stellaren Kern. Im Teleskop kaum besser. Allerdings ist hier der Schweifansatz gut erkennbar. Mit bloßen Auge nicht zu erkennen.

[[Abell 8]], 14.03.2015 21:55:00. Sitzt direkt auf einem schwachen Doppelstern auf. Doppelstern befindet sich aber im Nebel, genauer etwa am Rand. Kann nicht ständig gehalten werden. Nebel kommt und geht. Nach mehrmaligem intensivem Beobachten taucht er immer wieder auf. 114 fach und OIII. Schwer!


[[Abell 23]], Planetary Nebula in Puppis, 14.03.2015 23:55:00, Ähnliche Grösse und ähnlich schwer. Bei 114 fach und OIII wird nach geduldiger Beobachtung ein schwaches, kleines, rundes Glimmen sichtbar. Kann nicht ständig gehalten werden. Kein ZS und keine Strukturen sichtbar. Einen Ticken einfacher als Abell 8 und dies, obwohl Abell 23 sehr tief steht. SQM-L 21.55 Zenit.


[[Leo I = UGC 5470]], 15.03.2015 00:40:00: Einfach zu sehen. Ovaler großer Nebel direkt neben Regulus. Sehr diffus. 

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Mit dem Stuhl beobachtet es sich sehr angenehm.

Die untergehende Milchstraße. Der Orion ist schon hinter den Baumwipfeln verschwunden.

[[Leo II = UGC 6253]], Elliptical Galaxy in Leo, 15.03.2015 01:35:00, Diffuser ovaler Schimmer. Sehr schwach. Bei 56 fach (AP 5.6mm) erscheint ein ganz zarter Hauch der indirekt nicht ständig gehalten, aber hin und wieder erhascht werden kann. Genaue Ausdehnung unklar. Ovale Form nur vermutet. Im direkten Vergleich ist Leo I ein Scheinwerfer. Sehr grenzwertiges Objekt trotz bester Durchsicht und Zenitbeobachtung. SQM-L 21.65 Zenit.

[[IC 972 = Abell 37]], 15.03.2015 02:20:00, Schon bei 56 fach als kleiner, runder Nebel im Übersichtsokular erkennbar. Sehr heller Abell ohne Struktur und ZS. Im Vergleich zur Beobachtung vor einem Monat, viel heller und Himmelshintergrund viel, viel dunkler. Ist schon interessant, dass so ein Nebel auch in der Rhön bei viel schlechteren Bedingungen geht (sehr niedriger Stand über dem Horizont, hellerer Himmel).

Um 03:10 Uhr soll der Mond aufgehen. Gegen 03:00 Uhr baue ich ab. Nach einem Absacker auf der Couch im Sitzen bereits eingeschlafen. 

[[Weiter zur nächsten Nacht>>|15. März 2015]] 

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37065334523/in/datetaken-public/" title="Untitled"><img src="https://farm5.staticflickr.com/4451/37065334523_01a778a429_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Beobachtung mit dem 14 Zöller.</div>

Bin mit Mathias verabredet. Letzte gemeinsame Beobachtung ist fast ein Jahr her. Wir bauen am bekannten Platz auf. Feucht ist es, das merke ich gleich. Die Scheiben sind bei der Auffahrt hier hoch auch schon leicht beschlagen. 

Ich fange mit meinem von mir schon fast gehassten PN NGC 6210 an. Gehasst deshalb, da er sich einer strukturierten Beobachtung immer wieder entzieht. Auch diesmal. So das ich NGC 7005, den Saturnnebel einstelle. Und es wird mich von den Socken hauen.

''NGC 7009'': Steht zum Beobachtungszeitpunkt direkt im Süden. Im wesentlichen ist eine unregelmäßige, lang gezogene, helle Nebelschale von Ost nach West zu sehen, sowie eine etwas gedrungenere ovale, die von Nord nach Süd verläuft. Diese zeigen an den Berührungspunkten hellere Segmente in Ost-West und Nord-Süd-Richtung. Blickweise ist der Zentralstern sicher zu erkennen. Auch die Ansen sind gut zu erkennen. Nebel ist sehr hell. Seeing 1-2. Ca. 800 fach, ohne Filter.

Hätte es nie für möglich gehalten, die schönen Strukturen, so deutlich in meinem 14 Zöller zu sehen. Praktisch fast alles, was ich im Mai im 25 Zöller erkennen konnte, war auch hier sichtbar. Und das Objekt insgesamt war sehr hell. Mathias schaut auch und ist auch baff. 
In Momenten schlechteren Seeings, wird auch hier der Nebel verwischt. Später dann werden die Strukturen fast unkenntlich: Der Fangspiegel ist beschlagen! Hier zieht wohl gerade eine Nebelbank durch, denn den Quickfinder hat es auch „erwischt“.

Das Seeing ist sehr gut. Nicht perfekt, da selbst bei 800 fach die Sterne noch leichte Bewegungen zeigen. Blickweise für einige Sekunden aber schon. Also in Schulnoten 1-2. Die Transparenz eigentlich auch, aber das SQM-L kommt zunächst nur auf schlappe 21.2. Später krabbelt es auch 21.25 und erst nach ein Uhr morgens werden die 21.3 überschritten. Da dies quasi innerhalb von 20min-30min passiert, nehme ich an, dass es von der Beleuchtung der umliegenden Dörfer her kommt.

''NGC 6210'': Wieder mal bei 800 fach aber nichts definitives. Im Aussenbereich zwei bis drei hellere Flächen in Form von diffusen Knoten.

Und hier mal wieder eine Inspiration von Uwe: [[IC 1365 (VV 508)|http://www.deepsky-visuell.de/Zeichnungen/IC1365.htm]].

[[IC 1365]]: Unscheinbare, Edge-Galaxie bei 290 fach mit hellerem, schwachen, sternartigem Zentrum. Bei 420 fach zu dunkel. Form spindelförmig  mit am westlichen Ende sitzenden sternförmigen Galaxie.

Kollege müht sich mit HCG 8 ab. Ich schaue kurz. Ist alles bis auf eine ovale, diffuse Galaxie recht schwierig zu erkennen. Mathias meint, dass die schwachen Galaxien um die 16 mag haben. Habe das Thema schon abgehakt aber Mathias, meint, dass ich mir das dennoch mal anschauen soll. 

[[HCG 8]]: Am besten bei 290 fach. Dann werden insgesamt vier Galaxien sichtbar. Zunächst zeigt sich eine ovale Galaxie mit hellerem fast sternartigem Zentrum. Westlich zeigt sich eine Kette bestehend aus drei sehr schwachen, kleinen Galaxien. Zwei recht nah beieinander, dritte etwas abseits. Zeigen auf einen schwachen Stern. Die drei schwachen Galaxien sind indirekt kaum zu halten. Erst bei vollständiger Dunkeladaption am Okular können Sie ihn direkt immer wieder aufblitzend dann doch recht gut beobachtet werden.

Letztes Objekt ist Minkowski 2-51. Ein Vorschlag von Mathias. Seeing 2.

[[Minkowski 2-51]]: Recht hell, da schon ohne Filter bei 290 fach einfach sichtbar. Nebel um Sternenpaar, wobei einer der beiden Sterne heller ist. Sieht zunächst wie ein homogener Nebel aus, der mit Filter an Kontur gewinnt. Kann mich nicht so recht entscheiden, welcher Filter besser ist: OIII oder UHC. Sehe den UHC im Vorteil. Es zeigt sich zunächst der hellere Stern im Zentrum und die Mitte dunkler, so dass sich ein „Ring“ zeigt, der aber nach Norden und Süden schwächer wird. Der Ring wirkt auch zunehmend unruhig und länglich, insbesondere bei Mathias im 18 Zöller. Dort ist er insgesamt definierter. Der hellere Stern ist bei geduldiger Beobachtung am inneren Rand des „Rings“ zu finden, während der schwächere fast auf dem Rand liegt. Der „Ring“ scheint auch ein runder, diffuser Glow als Nebelschale zu umgeben. Südlicher schwacher Teil etwas heller als gegenüberliegender, so dass sich zeitweise ein „U“ zeigt, was aber unsicher bleibt.

Mathias beginnt um zwei Uhr mit dem Abbau. Ok, ich auch. Muss heute noch zurück nach Frankfurt, da kein Hotelzimmer auf der Wasserkuppe mehr frei ist. Die Nacht endet mit jetzt dunklerem Himmel, nach dem die Straßenbeleuchtung gegen ein Uhr deutlich zurückging. Seeing war diese Nacht am Anfang sehr gut, später gut. Insgesamt ein gutes Ende. Morgen will ich nochmal hierher.

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[[<< Zurück zum Artikel|Zwei Nächte auf der Wasserkuppe]] | [[Weiter zur nächsten Nacht >>|15. Oktober 2017 - Wasserkuppe]]

Heute ist die Nacht der Nächte. Die aufgezogenen Gewitter sind weg und hinterlassen laut Vorhersage einen transparenten Himmel. Darüber hinaus stört der Mond nicht mehr, heute kann sieben Stunden durchbeobachtet werden.

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Ich treffe zum Sommeruntergang in Birx ein. Noch schnell was essen, und dann geht es schon los. Beim Blick in den Himmel ist dieser verzirrt und zeigt sich sehr farbenfroh. Daher halte ich noch mal am Ortsausgang und marschiere über die Wiese, um eine Stimmungsaufnahme zu machen. Am Ende des Weges sehe ich schließlich am Hang einen etwas älteren Herren, der offenbar einen 20 Zoll Dobson aufbaut. Ich spreche ihn direkt an, und wir kommen kurz ins Gespräch. Er kennt meinen Platz und auch die Probleme, die andere Plätze hier in der Rhön ebenfalls haben. Wir sprechen relativ kurz, da ich ihn auch nicht stören möchte und er auch signalisiert, dass er die Zeit jetzt für den Aufbau nutzen möchte, da es ihm später hierzu einfach zu dunkel sei. Ich verabschiede mich von ihm und fahre an meinem Platz. Dort angekommen bin ich sehr zufrieden, denn es handelt sich ja praktisch um einen öffentlichen Parkplatz. Kein Mensch da. Perfekt!

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!Starlink-Train am Westhorizont voraus!

Kaum will ich auspacken, sehe ich am Horizont eine helle Sternenkette. Starlink! Hektik bricht aus. Ich will unbedingt das ganze fotografieren. Mathias taucht plötzlich auf und ich bin völlig panisch, denn ich krieg das so schnell nicht auf die Reihe. Mittlerweile ist der Train über uns und ist Mega beeindruckend. Mathias meint, man müsse dies einfach visuell „genießen“, und nicht immer nur Fotos machen. 😂 recht hat er, aber wie soll ich denn beweisen, dass ich das tatsächlich gesehen habe? 🤣 so schnell wie der Train aufgetaucht ist, ist auch wieder verschwunden. Mathias tröstet, dass er möglicherweise am Morgenhimmel erneut zu sehen ist.

Ich bin noch mit Mathias verabredet, der heute sogar etwas früher eintrifft und ein kleineres Teleskop nur dabei hat. Er möchte morgen zum HTT und bricht daher auch früher auf. Für mich gibt es tatsächlich sieben Stunden Nacht und Beobachtung. 

Die folgende Galaxie war Thema in der Deep Sky Tour von „Astronomie - Das Magazin“ in Ausgabe 36. Bin gespannt, was zu sehen ist.

![[IC 1291]]

Sehr interessante Galaxie, die bei Übersichtsvergrößerung kaum auszumachen ist. Kann jedoch bis auf 378x im 21 Zöller gut vergrössert werden. Es zeigt sich ein Doppelsternpaar vor dem Zentrum einer offenbar irregulären Galaxie. Dabei kann ein hellerer, ovaler Bereich ausgemacht werden, der offenbar in Zentrumsnähe steht. Dieser Bereich wird von einem diffusen ovalen Nebel umgeben, der schließlich, als würde man an ihm ziehen, nach Norden geschwungen, abgeht. Außer dem helleren Bereich in der Nähe des Zentrums gibt es einen weiteren, der etwas nördlich abgetrennt, zu erkennen ist. Tatsächlich lohnendes Objekt! Seeing 2-3.

![[Kohoutek 3-36]]

Sehr schönes Objekt! Verzettel mich am Anfang etwas bei der Aufsuche. Dann, schließlich kann ich einen rechteckigen Nebel beziehungsweise Nebelbalken erkennen. Gar nicht mal so schwierig, denn der Nebel kann indirekt dauerhaft gehalten werden. Man kann den Nebel sogar bis auf fast tausendfach hochziehen, dann wird er schwieriger sichtbar, aber in seinem Inneren blitzt immer mal wieder ein schwacher Zentralstern auf. Dieser ist bei 562x nicht zu erkennen. Trotzdem lohnt es sich auch, mit der Vergrößerung wieder runter zu gehen, denn dann wird der Nebel heller und man erkennt, dass er zu den Enden hin offenbar hellere Kanten zeigt. Dies ist tatsächlich schwierig zu erkennen, jedoch unter Einsatz eines [OIII]-Filters wird der Nebel noch mal deutlich heller und die Beobachtung einfacher. Dann sind die helleren Kanten auch gut zu erkennen und zeitweise hat man den Eindruck, dass der „Balken“ Richtung Zentrum etwas schmaler wird, so dass ich insgesamt eine leichte Sanduhrform zeigt. Fantastisch! Seeing 2.

!Kronberger 68

Als Nächstes stelle ich, ja was eigentlich, ein? An der richtigen Stelle ist eine Art Glimmen zu erkennen. Allerdings ist mir schließlich unklar, ob es sich tatsächlich wie angegeben, um einen offenen Sternhaufen handelt oder um einen schwachen PN. Daher breche ich die Beobachtung ab. Da muss ich wohl noch mal recherchieren.

Himmel ist gut, 21.46 im Zenit mit dem SQM-L. +6° C nur noch. Praktisch winterlich. 🥶 Wir hören Schüsse! Ein Jäger ist unterwegs. Später kommt ein Auto vorbei. Mathias ist erschrocken, denn im Lichtkegel erkennt er, wie neblig es mittlerweile geworden ist. An seinem Gerät läuft das Wasser nur so runter. Es ist schließlich ein Pick-up, und wir vermuten, dass dies der Jäger von letzter Woche ist. Er fährt vorbei und beäugt uns, wendet und beäugt uns wieder. Wir reden uns gut zu, denn wir sind auf einem legalen Platz. Und tatsächlich nichts passiert. Kein Anschnauzen nichts. Na dann…

![[NGC 6826]]

Schon bei Übersichtsvergrößerung gut erkennbar. Bei 562x zeigt sich sofort der helle Zentralstern, der in eine helle Nebelschale eingehüllt ist, die recht gut begrenzt ist. An dieser zeigt sich eine weitere diffuse, ausgedehntere Schale, die auch nicht so hell ist. Die helle Nebelschale wird durch einen Halbring nach Osten hin begrenzt, an dessen Ende kleine Ansen zu erkennen sind. Seeing 1-2.

![[M 77]]

Bei Übersichtsvergrößerung noch relativ unscheinbar. Die Galaxie zeigt ein sternförmiges Zentrum, das von einem ovalen, diffusen Galaxienkörper umgeben ist. Kann bis auf 378x vergrößert werden. Seeing 2. Im Innern zwei prominente Spiralarme erkennbar. Abseits deuten sich weitere an. 

![[NGC 7331 - Deer Lick Group]]

Sehr schöne Galaxiengruppe. Ich bin allerdings überrascht, dass diese heute deutlich schlechter zu sehen ist. Schließlich beginne ich eine Zeichnung und irgendwie ist mir mulmig dabei. Irgendetwas scheint ja nicht zu stimmen. Ich schiebe es auf den Himmel. Tatsächlich ist mittlerweile recht schnell der Fangspiegel beschlagen. Bekomme ihn wieder frei, aber irgendwie scheint das Bild trotzdem nicht gut zu sein. Daher breche ich ab und das letzte Objekt sollte jetzt M 42 sein. Sieht furchtbar aus! Total seifig! Irgendetwas muss immer noch beschlagen sein. Ich schau mir den Komakorrektor er ist es: Linse beschlagen .Mache ihn noch mal flott, aber das Bild bleibt beschissen. Parallel versuche ich noch ein paar Stimmungaufnahmen zu machen, aber auch das gelingt nicht, da die Fotolinse sofort komplett zutaut. Hier zieht gerade Bodennebel durch! Ich packe schließlich zusammen, denn die Nacht ist jetzt praktisch auch rum. Der Fangspiegel ist bereits wieder beschlagen und als ich die Stangen verstaut habe und den Hauptspiegel abdecken möchte, sehe ich, dass dieser ebenfalls trieft! Oh Nein. 😤 Ist egal. Alles wird lose verpackt, so dass es tagsüber trocknen kann. Hoffe, dass dies auch passiert.

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Bin tatsächlich am Ende erst um sechs Uhr morgens im Bett. Wahnsinn die Nacht. Wäre alles als „perfekt“ zu bezeichnen, wenn nicht am Ende dieses Nebeldesaster zugeschlagen hätte.

[[<< Zurück zur letzten Nacht|10. September 2023 - Lange Rhön]] | [[Weiter zur nächsten Nacht >>|15. September 2023 - Lange Rhön]]

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Wieder mit Roberto verabredet. Heute Nacht soll es wieder klar sein, trotz dichter Wolken am nachmittag. Insgesamt die vierte Nacht.

Heute bin ich wieder für das Bier verantwortlich. Muss nochmal LSA 1 bei höheren Vergrößerungen anschauen. Zentrum soll dunkler sein. War bei 430 fach so nicht zu erkennen. Neben uns treffen noch zwei weitere Fahrzeuge mit insgesamt drei Personen ein. 

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![[IC 349]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{IC 349 mit 14 Zoll}}

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![[NGC 6543 - Katzenaugennebel]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 6543 - Katzenaugennebel}}

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Bei Ankunft stark bewölkt. Dauert bis zur astronomischen Dämmerung an. Dann plötzlich klar und sehr transparent. Also LSA 1 nochmal. 

''LSA 1, 02:00 Uhr: ''Der Nebel zeigt sich zunächst bei 430 fach besser als vor zwei Tagen. Steigerung der Vergrößerung auf ca. 600 & 700 fach bringt nicht viel, da der Nebel dann leider zu dunkel wird. Eines wird aber klar: Der Nebel ist scharf begrenzt wirkt unruhig und der Rand scheint heller zu sein. Ist auch kleiner als zunächst gedacht. Zurück bei 430 fach und geduldiger Beobachtung blitzt hin und wieder ein kleiner Ring auf, der aber nicht als Form gehalten werden kann.

Dann kamen wieder Wolken auf. Wir nutzten die Zeit, um etwas zu reden. Nach einer halben Stunde ist es wieder klar. 

Nächstes Objekt ist der ''"Katzenaugennebel" - NGC 6543:'' Grüner, sehr heller Nebel. Selbst bei über 1200 fach bleibt der Nebel hell. Bei bestem Seeing wird eine Ellipse sichtbar, in deren Mitte ein recht heller ZS steht. Abgehende kurze Arme an den langen Seiten der Ellipse. Mit OIII wird der schwache Halo sichtbar und auch IC 4677.

''IC 349, 05:00 Uhr:'' Bei 430 fach schon zu erahnen. Bei ca. 1000 fach dann die Bestätigung. Ovaler, länglicher Nebel, der genau in der Mitte zweier Spikes steht und mit der langen Achse auf Merope zeigt. 

Auch diese Nacht geht wieder zu Ende. Zum Schluss noch dieses Foto gemacht mit Blick nach Osten. Rechts am Horizont Mordor, alias Cuenca, wie Roberto sagt :) Ob es nächste Woche nochmal geht, bleibt abzuwarten. Im Moment deutet leider nichts darauf hin.

[[Weiter zur nächsten Nacht >>|17. August 2015 - Pinar  de Araceli]]

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Die Zeichen stehen auf Abschied. Gehe heute noch mal in La Mata schön essen und im Anschluss soll es noch mal hoch zum Roque gehen. Nochmal? Ja!

Und wieder Wassertank. Letzte Beobachtungsnacht. Morgen werde ich nichts machen. Dann wird auch der Mond erst gegen 22:00 Uhr verschwinden. Da muss ich dann auch schlafen, denn am Morgen drauf geht der Flieger. Heute ist es wieder fast windstill, leichter Luftzug aus Nordost. Das soll auch die ganze Nacht so bleiben. Perfekte Nacht. Heute stört der Mond schon etwas, und knabbert von der Nacht etwas mehr als eine Stunde ab. Aber das macht nichts. Erstes Objekt ist heute Jupiter und der Zufall will es so, dass mir ein Io Transit vor die Füße fällt. Als ich durchschaue, steht der Mond schon vor der Jupiterscheibe und kann bei gutem Seeing leicht erkannt werden und dazu das Glück, dass er an einer dunklen Wolkenstruktur vorbeizieht, so dass er gut zu erkennen ist. Ich habe schnell ins Sky Safari nachgeschlagen und festgestellt, dass sein Schatten später noch folgen wird.

Dann schaue ich noch mal IC 349. Aber ich kann nichts Neues erkennen, aber irgendwie ist dieser Nebel wirklich faszinierend. Anschließend wechsel ich wieder zu Jupiter und es hat das Seeing, wie man es normalerweise vom Roque her kennt, wenn die Bedingungen stimmen. Und heute stimmen Sie. Ich hoffe nicht, dass das jetzt eine verkappte Planetennacht wird. Ich warte schließlich noch, bis der Schatten von Io vor der Jupiterscheibe erscheint, aber Io selbst ist nun nicht mehr zu erkennen. 

SQM 21.5 und L 21.6. Standard. Weiter geht’s mit der Sculptor-Galaxie, es ist quasi ein Abschiedsgruss. Dann das erste ernsthafte Objekt: NGC 7380 - Zauberernebel. Bei minimaler Vergrößerung und maximale AP wird zunächst ein recht unscheinbarer Sternhaufen sichtbar. Mit Filter dann sieht man, dass neben ihm ein diffuser, recht gut erkennbarer Nebel liegt. Dieser reicht offenbar bis in den Sternhaufen hinein, denn auch hier zeigt sich ein nebeliger Hintergrund und dieser rührt nicht von den Sternen. Eigentlich wollte ich an dieser Stelle eine Zeichnung beginnen, aber ich bin so fertig und das ist so komplex, dass ich hier einen „Skip“ mache.

Ich habe natürlich auch meinen Feldstecher wieder dabei, aber natürlich noch nicht eingesetzt. Das mache ich immer so und eigentlich stellt sich mir die Frage, warum ich ihn mit an alle Beobachtungsorte schleppe und dann nicht nutze. Daher greife ich jetzt zu und beobachte ein paar Schaustücke: sehr interessant ist zum Beispiel die Sculptor-Galaxie zusammen mit NGC 288 die im einem Gesichtsfeld gut zu erkennen sind und ein schönes Paar im Feldstecher bilden. Weiter geht es zum Orionnebel und dieser ist im Feldstecher Mega hell. Dann zum Nordamerikanebel, der schon sehr tief steht und deshalb recht bequem beobachtet werden kann. Und ich muss sagen er hat an Strahlkraft kaum eingebüßt. Die Transparenz ist bis zum Horizont runter richtig gut. Dann geht es in den Fuhrmann und mich springen quasi die Messier-Haufen direkt an. Einfach unfassbar wie schön und wie hell sie doch sind.

!Airglow

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/k6eF2NQ95g" title="Airglow 2"><img src="https://live.staticflickr.com/65535/53420723885_e7c74705d7_k.jpg" alt="Airglow 2"/></a>

Der Himmel schien in den Nächten insbesondere zum Morgen hin hell zu sein und mir gelang in der letzten Nacht diese Aufnahme, wo im Westen ein helles grünes Airglowband zu sehen ist.

![[Sh 2-235]]

Schwacher Nebel, der einen Stern streift beziehungsweise auf diesem aufsitzt. Habe den Eindruck, dass er auch schon bei Übersichtsvergrößerung zu sehen beziehungsweise zu erahnen ist. Den besten Kontrast liefert ein H-Beta Filter. UHC funktioniert auch, [OIII] überhaupt nicht. Bleibe beim UHC, denn dann kann ich stärker vergrößern, ohne dass der Nebel absäuft. Versuche noch Details im Nebel selbst auszumachen, aber das scheitert. Im Kern zeigt sich eine hellere Kante in der Nähe des aufsitzenden Sterns. Form gebogen, quasi wie ein Pinselstrich. 

Bei diesem Objekt handelt es sich um einen Reflektionsnebel. Wenn man jedoch Fotos betrachtet, erkennt man, dass offenbar auch ein Emissionanteil vorhanden ist.

![[GN 05.55.3]] im Orion

Reflexionsnebel um den Stern TYC 1312-1112-1, der 10 mag hat und tatsächlich ein (scheinbarer) Doppelstern ist. Südlich, zeigt sich abgehend, eine halbrunde Fahne, die diffus ausläuft. Nahe des Sterns kann man eine kurze Kante innerhalb des diffusen Nebels erkennen, die etwas heller ist. Weiter südlich steht ein weiterer schwacher Stern, wo aufsitzend ebenfalls eine schmale helle Nebelfahne indirekt zu erkennen ist. 351x, Seeing 2.

Vielleicht ist das sogar die beste Nacht bisher. Kein Wind, sehr angenehm mit +8 °C. 

![[NGC 3184]]

Nachschau! Keine neuen Erkenntnisse, außer die, dass ich einen weiteren Vordergrundstern in der Galaxie ausmachen kann.

Plötzlich gibt es hier irgendwelche Geräusche. Vom Wind können sie nicht kommen, denn es gibt keinen. Ich mach mich mal wieder bemerkbar aber es geht zunächst erst mal weiter. Irgendwann ist dann wieder Ruhe. Schon seltsam, denn auf der Insel gibt’s gar keine wild lebenden Tiere. Oder war es nur ein Hase? Habe schon gedacht, hier kommt jemand mitten in der Nacht runter geklettert…

Nach dem gestrigen Feuerwerk der Geminiden gibt es heute praktisch keine Sternschnuppen mehr. Auch keine schwachen. Kurios. Die haben gestern praktisch alles rausgehauen.

![[NGC 3344]]

Ähnlich hell wie NGC 3184. Runde, diffuse Galaxie, die erst nach geduldiger Beobachtung einige ihrer Spiralarme preisgibt. Helle Sterne in unmittelbarer Nähe beeinträchtigen die Beobachtung enorm. Trotzdem kann man zwei beziehungsweise drei Spiralarme - wenn auch sehr schwer - erkennen. Zentrum leicht sternförmig und diffus ausgedehnt. Einige Hintergrundgalaxien ebenfalls gesichtet, dann aber irgendwann aufgegeben.

Erst zwei Wochen später zu Hause merke ich, dass es sich mal wieder um eine Doppelbeobachtung handelt hat. Wie dieses Objekt und das davor es in die Beobachtungsliste geschafft hat, weiß ich leider nicht mehr zu sagen. Es ist einfach immer wieder die chaotische Vorbereitung! Echt idiotisch, von mir.

So, das war das letzte Objekt. Zumindest das, was ich gezeichnet habe. Jetzt kommt noch mal eine Verabschiedung. Ich muss unbedingt noch mal den Feldstecher benutzen, denn die südliche Milchstraße steht jetzt im Süden. Das ist dann auch die Brücke zur nächsten Astroexkursion, die im Mai stattfinden wird und nach Namibia geht. 3:30 Uhr das reicht. Ich klappere noch mal ein paar Highlights ab. Zum Schluss, Orionnebel!

Tags drauf bin ich noch mal schön essen und fahre wieder hoch. Auf dem Roque ist es diesmal kalt 🥶 und recht feucht. Der Sand hat es jetzt auch bis hier hoch geschafft. Ich laufe noch mal zum zweiten Mirador unterhalb des Roque und sauge die Stimmung während des Sonnenuntergangs auf.

[[<< Zurück zur letzten Nacht|14. Dezember 2023 - Wassertank]] | [[Weiter  zur Beobachtungsübersicht >>|Endlich wieder La Palma]]

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Heute gab es Aprilwetter vom Feinsten. Stehe wieder am Reventon und warte das es aufklart. Auf dem Roque wird gerade der Gerfrierpunkt erreicht. Die Luftfeuchtigkeit ist weg und mit 20 Pronzent wieder alles knochentrocken. Aber Wind bis 60 km/h. Kann man vergessen. Am Reventon über Puntagorda ist es aber Ok. Nur die hohe Luftfeuchte und plötzlich aufkommende Wolken schrecken mich ab. Weiter warten. 

Ich entschließe mich dann aufzubauen. Super. Heftigste Windböen. Dann wieder Ruhe. Seeing ist grottig. Wie auch, bei dem Gebläse. Mache nochmal mit Simeis 147 weiter und beobachte nochmal das Filament um HD 246128. Da ist nichts zu sehen. Ab und an glaube ich den Abzweig eines Filaments zu erkennen, das nach Nordwesten abzweigt und HD 246128 gegenüber liegt. Aber leider nichts. Probiere auch noch UHC und H-Beta. Nix. Wenn überhaupt dann dieser abzweigende Bogen, der in eine Sternleere hineinführt, aber auch hier lauern schwache Sterne im Hintergrund.

Das Bild wird plötzlich milchig. Ja. Nebel zieht auf. Rettet den Fangspiegel! Schnell ist er verstaut, bevor er noch groß beschlagen kann. Die Wolkenbank verschwindet wieder. Aber in Etappen folgen neue. Ok. Das wird nix mehr. Der Nordwind treibt sie hoch. Höher geht nicht. Viel zu windig. Also abbauen. Vorher zücke ich nochmal den Feldstecher. M35. M42. M31. Schön! Milchstraße mit bloßem Auge. Dann Abfahrt.

Der nächste Tag bringt nur Wind und keine klare Nacht. Egal 😐. Ich stehe am nächsten Tag früh auf und gehe im Meer schwimmen 🏊‍♂️. Tags drauf auch.

[[<<Zurück zur vorangegangenen Nacht|14. Januar 2018 - La Palma]] | [[Weiter zur nächsten Nacht >>|17. Januar 2018 - La Palma]]

Ab hier ist leider der Astrourlaub beendet. Heute haben wir gemeinsam beschlossen die zwei verbliebenen Corona Schnelltests zu verwenden. Ich hatte insgesamt zwei, wobei ich einen vor zwei Tagen genutzt hatte, der allerdings ein ungültiges Testergebnis hervorbrachte. Einen Weiteren hatte ich noch und ein anderer war durch Dritte verfügbar. Am Nachmittag lag dann das erste Testergebnis vor. Beim Kaffee hat uns die Person informiert, dass sie sich gerade positiv getestet habe. Ich habe meinen Test gespendet mit dem Ziel, nicht wieder selbst ein ungültiges Test Ergebnis zu produzieren. Gemeinsam haben wir uns kurz im Astrotreff zusammengefunden und mit der sich zu testetenden Person den zweiten Test durchgeführt. Auch dieser war sofort positiv. Die Wahrscheinlichkeit, dass wir nun – wie bisher gedacht – stets eine Erkältung haben, hat sich im Nu verflüchtigt. Jetzt herrscht die Gewissheit, dass wir tatsächlich alle Corona haben. Mit alle ist gemeint, alle die wir zusammen den Ausflug gemacht hatten. Dieser liegt mittlerweile mehr als eine Woche zurück und der Rückflug ist in drei Tagen terminiert. Mithin besteht die durchaus geringe Wahrscheinlichkeit, dass wir zumindest zum Teil bis dahin genesen sein werden. Falls nicht müssen wir entsprechend in Quarantäne. Ich fühle mich heute bereits wieder gut. Ich habe nur noch wenig Husten und nur leichte Kopfschmerzen. Die Inkubationszeit hat bei mir circa 2-3 Tage gedauert. Der Höhepunkt der Infektion war etwa 3-4 Tage später. Heute ist der Tag nach der Rückkehr vor einer Woche, d.h. insgesamt sind acht Tage vergangen seit der Ansteckung. Bis zur Testung und dem Abflug also 11 Tage, ein Zeitraum, wo man möglicherweise bereits wieder genesen sein kann, insbesondere vor dem Hintergrund, dass fast alle eine Erstimpfung erhalten hatten.

An astronomische Beobachtungen ist jetzt nicht mehr zu denken. Nach dem Abendessen geht jeder seiner Wege. Heute spielt übrigens Deutschland gegen Frankreich in der diesjährigen Europameisterschaft.

Das spielt für mich aktuell keine Rolle mehr. Gegen 23:00 Uhr ertappe ich mich, wie ich die Wetterprognose noch mal aufmache. Dichte Bewölkung ab Mitternacht ist vorhergesagt. Das passt irgendwie zur Stimmung. Zum Glück.

Bis zum geplanten Rückflug sind es noch drei Tage. Insgesamt liegen dann zwischen der Ansteckungs und der weitestgehender Genesung 11 Tage. Möglicherweise ist ja ein Rückflug am Freitag möglich, sofern der Antigentest negativ ist. Deshalb setze ich jetzt alles auf die körperliche Erholung und da gehört nun mal das herumkraxeln auf Leitern an Dobson Teleskopen nachts nicht dazu. Aber vielleicht ist es auch alles falsch: Vielleicht ist es ja der unwahrscheinliche Fall, dass es zwei „false positiv“ bei unterschiedlichen Personen gab und wir tatsächlich nur eine Erkältung haben. Die Kontaktperson jedenfalls schwört, dass sie negativ getestet worden sei (allerdings ähnliche Symptome wie wir hat). Schwierig, schwierig. Ich gehe davon aus dass ich mindestens eine Woche länger bleiben werde muss.

[[<<Zurück zur vorangegangenen Nacht|14. Juni 2021 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|16. Juni 2021 - Tivoli Astrofarm]]

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/M40R124YWF" title="Untitled"><img src="https://live.staticflickr.com/65535/53012371575_4a32f7040a_h.jpg"/></a>Lichtverschmutzung ist tatsächlich ein Thema, wie der grüne Hintergrund zeigt. Dies ist ein klares Indiz. In der Rhön ist dies noch ausgeprägter. Interessanterweise lässt sich das visuell hier nicht ausmachen. In der Rhön ist dies aber bereits erkennbar, z.B. daran, dass schwache Sterne im Himmelshintergrund am Horizont „ertrinken“,  so dass man dort in Horizontnähe in der Regel schwache Sterne kaum sieht.</div>

Bedingungen ähnlich gut wie gestern. Heute Nacht sollen Zirren durchziehen. Überraschung am Beobachtungsplatz: die Luftfeuchtigkeit ist tatsächlich zurückgegangen, es weht ein leichter Ostwind. Mache daher heute spontan ein Timelapse. Mal sehen, ob er durchläuft und ob es klappt. Habe ich deshalb spontan eingeschoben, denn heute sollte die Linse nicht beschlagen. Sterne stehen beim Anblick mit bloßem Auge komplett still. Das lässt auf gutes Seeing hoffen. Gute Bedingungen beim Start der astronomischen Dämmerung. SQM-L 21.76 und SQM 21.55. 

Tau bildet sich auf dem Autodach doch recht schnell, d.h. circa 70 % relative Luftfeuchtigkeit. Hoffen wir mal, dass der Taupunkt heute nicht erreicht wird.

![[M 94]]

Schon bei Übersichtsvergrößerung sehr hell. Kann bis auf 420x vergrößert werden. Es zeigt sich eine sehr helle, ovale Galaxie, mit sehr hellem Zentrum. Bei hoher Vergrößerung und geduldiger Beobachtung ist dies sogar, als stellar zu bezeichnen. Das Zentrum umgibt ein heller, diffuser Ring, der auf einer Seite eine Art „Fähnchen“ zeigt. Vermutlich handelt es sich hier um einen Teil eines Spiralarms. Dann geht der Galaxienkörper diffus weiter und es zeigen sich weiter außen zwei gegenüberliegende helle, diffuse Segmente. Hinter diesen läuft der Galaxienkörper weiter diffus aus ist aber insgesamt trotzdem gut begrenzt. Das Seeing ist heute wieder hervorragend. Optimale Vergrößerung liegt bei 290x  im 14 Zöller.

Der Himmel erscheint mir heute visuell heller, aber der Eindruck täuscht. Im Zenit werden 21.76 erreicht. Im Gerät ohne Linse 21.5. Offenbar setzt sich jetzt der Einfluss der Milchstraße bei Letzterem durch, je höher die Milchstraße steht. Ich lege eine kurze Pause ein, denn ich möchte mir ein paar Schaustücke und Highlights des Sommers anschauen. Die Bedingungen sind wirklich was das Seeing anbetrifft sehr gut, denn ich stelle M 57 ein und bei 420x zeigt sich praktisch sofort der Zentralstern. Lässt sich sogar direkt für einige Sekunden ausmachen. Und das immer wieder. Der Himmel bricht auch nicht ein. 21.76 weiterhin auf dem SQM-L.

Dann geht es noch mal weiter zu [[Kohoutek 4-10]]. Habe noch mal versucht das Sternfeld zu verifizieren und das hat auch geklappt. Konnte keine neuen Sterne erkennen, außer die, die ich gestern schon beobachtet hatte. Der Nebel selbst ist relativ einfach zu sehen. Wie gestern eben auch.

!NGC 6384

Hier handelt es sich um eine Galaxie im Sternbild Schlangenträger. Sie ist circa 10.8 mal hell und weist eine Spiralstruktur auf, von der aber nichts zu sehen ist. Stattdessen kann man bei 290 fach, eine spindelförmige Galaxie erkennen, die ein helles, fast sternartiges Zentrum zeigt und das quasi zweimal. Dies bedeutet, dass neben dem Zentrum ein weiterer hellerer, fast ebenso heller Knoten erkennbar ist, der aber nicht genau mittig steht. Heller spindelförmiger Zentralbereich, der recht gut begrenzt ist; äußerer Galaxienkörper recht groß und diffus auslaufend. Wäre tatsächlich auch etwas für Deutschland, da die Galaxie recht hoch steht.

![[NGC 6578]]

Gestern habe ich mich natürlich direkt vertan und [[NGC 6567]] beobachtet, so dachte ich zumindest. Aber heute sind die Bedingungen ähnlich gut wie gestern, so dass mir der Himmel eine zweite Chance gewährt. Denkste! 

Nachdem ich das Objekt drin habe, kann man schon bei Übersichtsvergrößerung ganz leicht erkennen, das es an der Position zwar ein sternförmiges Objekt gibt, aber dies ist tatsächlich nicht komplett stellar. Schwierig zu erkennen, aber sehr interessant. Bei höherer Vergrößerung stelle ich dann fest, dass ich das Sternenfeld sehr gut kenne; und so ist es, ich habe tatsächlich gestern NGC 6578 beobachtet, aber im Nachgang geglaubt 6567 im Okular gehabt zu haben. Das kommt vom ganzen Beobachtungsstress! Dabei bin ich doch hier im Urlaub. 🤣 Da ich gestern bereits eine Zeichnung angefertigt habe, ist dies natürlich eindeutig nachvollziehbar. Interessanterweise ist, dass das Seeing heute so tief über dem Horizont bei jetzt leicht aufkommenden Wind nicht mehr ganz so gut wie gestern ist. Insgesamt trotzdem sehr gut, aber gestern war es einfach perfekt. Der Nebel zeigt auch keine „Reifengestalt“ mehr. Vom ZS auch keine Spur. 

Ich gönne mir jetzt an dieser Stelle mein Nachtbrot und glotze nebenbei M 27. Fantastisch! Schon ohne Filter ist der Nebel bei 168x groß und hell. Mit [OIII] nimmt der Kontrast zu und zwar deutlich, aber ich habe den Eindruck, dass man tatsächlich nicht mehr erkennen kann. Im Innern wirkt der Nebel gemottelt und an den Rändern recht gut definiert mit teilweise markanten Sicheln. 

!//Laevens 3//

Das Sternfeld ist tricky. Letztlich kann ich aber die genaue Position zweifelsfrei einstellen und beobachten. Leider ist an der Stelle nichts konkretes zu erkennen. Ich habe verschiedene Vergrößerungen benutzt von 65x über 168x und 290x. Nichts eindeutiges. Das war leider nichts.

SQM-L ohne Linse: 21.43 mit der Milchstraße im Zenit. SQM-L im Zenit: 21.46. Abseits: 21.56. Der Himmel ist jetzt etwas seifig. Mittlerweile ist es auch schon wieder 3:30 Uhr. Bleibt doch eine Stunde bis zur Dämmerung. Überlege, ob ich tatsächlich noch eine Zeichnung von M 27 beginne.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/69jTJ13i5j" title="Untitled"><img src="https://live.staticflickr.com/65535/52998006905_23bbaeeab1_k.jpg"/></a>

![[M 27 - Hantelnebel]]

Einfach nur der Hammer. Ohne Filter schon gut strukturiert mit [OIII] noch besser. Die Ohren sind bereits ohne Filter problemlos und hell zu erkennen. Jetzt wird ausgiebig gezeichnet! Zum Abschluss dieser Nacht stelle ich noch mal den Sturmvogel ein. Ohne Filter wirkt er tatsächlich recht blass. Mit [OIII] ist er unglaublich strukturiert. Kann mich kaum losreißen. Falls man meint, man bräuchte einen [OIII]-Filter nicht, dies ist ein Beispiel das zeigt, dass man ihn doch benötigt. Egal, unter welchen Himmel. 

Krönender Abschluss dieser Nacht. Kurzzeitig wurde der Taupunkt erreicht, dann ist es doch wieder trockener geworden. Schon seltsam. Morgen wird es noch eine Nacht geben und dann gibt es erst mal mindestens 2-3 Nächte nichts, denn dann zieht ein Tiefdruckgebiet durch. Jupiter ist gerade aufgegangen. Später sehe ich aus dem Zimmer des Hotelfensters noch die Mondsichel knapp über den Horizont aufgehen und es ist schon hell geworden.

[[<< Zurück zur letzten Nacht|14. Juni 2023 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|16. Juni 2023 - Pinar de Araceli]]

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Wie immer. Nahezu windstill bzw. leichter Wind aus Westen. Transparenz nicht so gut, da offenbar hohe Schleierwolken durchziehen. Trotzdem insgesamt gute Bedingungen.

Heute werde ich mit der Großen Magellanschen Wolke beginnen. Und doch wieder um entschieden! Jetzt soll es Sirius A/B und im Anschluss Abell 14 werden.
Vorschlag konform mit anderem Beobachter. Sirius A und B sind schließlich bei über 600 fach als schönes, aber enges Paar getrennt und bei relativ gutem Seeing und noch nicht ausgekühltem Spiegel einfach erkennbar.

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![[Abell 14]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

Objekt: Abell 14, Teleskop: 25" f/4 Newton, 
Vergrößerung: 100-180x, Filter: OIII, Bedingungen: SQM-L 21.76, Ort: Tivoli Astrofarm, Zeitpunkt: 15.05.2015 19:05 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18084603980" title="Abell14 by Olivito Astro, on Flickr" target="_blank"><img src="https://c2.staticflickr.com/8/7780/18084603980_3938542d86_z.jpg" alt="Abell14"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18086154819]]

__Anmerkung:__ Diese Beobachtung muss sehr wahrscheinlich als Täuschung und die zugehörige Zeichnung als nicht real eingestuft werden. Offenbar haben schwache Sterne den Nebel nur vorgetäuscht.

</div>

''Sirius - Alpha CMa, Double Star in Canis Major, 15.05.2015 18:15 Uhr:'' Mitbeobachter schlägt Sirius B als erstes Beobachtungsobjekt vor. Ich sitze zuerst einem Irrtum auf, dass Sirius B schon bei hundertfach erkennbar sei. Ist natürlich Quatsch und so ziehe ich die Vergrößerung auf über 600 hoch. Jetzt wird Sirius B eindeutig neben der A Komponente sichtbar.

Anschließend verabschiedet sich der Kollege um seine Aufnahmen vorzubereiten und ich widme mich Abell 14.

''Abell 14, "Planetary Nebula in Orion, 15.05.2015 19:05 Uhr:'' Zartes, rundes bis ovales Glimmen um einen recht schwachen Stern. Kann indirekt mit OIII-Filter gut gehalten werden. Sogar ohne Filter indirekt zu erkennen. Überraschend einfach!

__Anmerkung:__ Nach einem Hinweis und einer anschließenden Diskussion im Forum [[astrotreff.de|http://www.astrotreff.de/topic.asp?TOPIC_ID=183410]] muss diese Beobachtung sehr wahrscheinlich als Täuschung und die zugehörige Zeichnung als nicht real eingestuft werden. Offenbar haben schwache Sterne den Nebel nur vorgetäuscht.

Bedingungen 21.76 im Mittel im Zenit mit dem SQM-L. +9 °C.

''NGC 2042, Open Cluster in Dorado, 15.05.2015 20:25 Uhr: '' Recht kleiner offener Sternhaufen in unmittelbarer Nähe zum Tarantelnebel. Ein Dutzend helle Sterne unregelmässig verstreut. Form aber insgesamt rund. Sehr kompakt. 

Nächstes Objekt ist: ''Whale Galaxy - NGC 4631, Spiral Galaxy in Canes Venatici, 17.05.2015 23:35 Uhr:'' Eigentlich etwas für den Nordhimmel. Aber wann hat man schon einen 25 Zöller zu Verfügung. Die Galaxie präsentiert sich gewohnt zigarrenförmig mit einer Reihe von Details. Bei einem kurzen Schwenk entdecke ich schließlich den "Hockeyschläger". Der gefällt mir noch viel besser! Ich beschließe eine Zeichnung anzufertigen.

<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:15px;">

![[NGC 5189]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 5189}}

</div>

<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:15px;">

![[NGC 4656 - Hockeyschläger - Namibia]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 4656 - Hockeyschläger - Namibia}}

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''NGC 4656, 22:35 Uhr:'' Sieht tatsächlich wie ein Hockeyschläger aus. Ein Bild sagt mehr als 1000 Worte.

''NGC 5281, Open Cluster in Centaurus, 16.05.2015  1:25 Uhr:'' Offener Sternhaufen, der schon mit bloßem Auge als Stern sichtbar ist. Im Feldstecher wird er nicht aufgelöst, sondern erst im Teleskop bei 100 fach. Dann zeigt sich ein relativ unspektakulärer offener Sternhaufen der aus etwa einem Dutzend Sterne besteht. Davon sind vier relativ helle Sterne sichtbar, wobei im Vergleich mit den anderen noch mal deutlich heller ist. Dieser strahlt weiß, wie die beiden neben ihm stehenden etwas dunkleren auch. Der vierte im Bunde am Ende der Kette leuchtet hingegen rötlich. Alle sind halbkreisförmig angeordnet. Unklar wo der Sternhaufen endet, da er ins reiche Milchstraßenfeld übergeht.

''Antennen-Galaxien, 02:05 Uhr:'' Und täglich grüßt das Murmeltier. Heute ist die Transparenz deutlich besser als in den letzten Tagen und so versuche ich meine Zeichnung mit den Antennen zu vervollständigen. 

''NGC 5189, 01:45 Uhr:'' Zu komplex für eine Beschreibung. Kleiner planetarischer Nebel der im wesentlichen wie ein Propeller aussieht.

An dieser Zeichnung sitze ich bestimmt 2 Stunden. Jetzt bin ich ziemlich ausgelaugt und ich beschließe ein paar Fotos der Milchstraße im Zenit zu machen. Die letzte Stunde kann ich mich schließlich nicht mehr aufraffen und außer ein paar Feldstecherbeobachtungen und weiteren Fotos schlage ich die Zeit bis zur Dämmerung tot.

Der Aufenthalt auf Tivoli geht auf die Halbzeit zu. Die Dämmerung setzt schließlich wie immer um 5:00 Uhr ein. Eine halbe Stunde später bin ich total k.o. im Bett.

[[Weiter zur nächsten Nacht>>|16. Mai 2015 Tivoli]] 

!Roque de los Muchachos

Zunächst wenig Wind, dann aber typischer Roque Wind aus NE-E mit leichten Böen. Sehr trocken. Temperatur um 10 Grad Celsius. Habe in einer Bucht unterhalb der Residencia aufgebaut. Sehr guter Himmel. 21.65 im Schnitt die ganze Nacht im Zenit.

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Sonnenuntergangssequenz auf dem Roque.

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Drei Inseln am Horizont: Teneriffa, La Gomera und El Hierro.

Gegen Einbruch der astronomischen Dämmerung bin ich bereit. Schnell noch ein paar Fotos. Und noch ein Selfie. Bumms, der Wind schmeißt das Stativ mit der Kamera um. Ein paar kleine Dellen. Funktionieren tut noch alles. Trotzdem ärgerlich. Immer dieser Wind hier oben! Egal, nicht ärgern. 

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Blick nach Westen. Rechts oben ist M31 zu erkennen. In der Mitte Venus.

Erstes Objekt ist ~PuWe 1. Ähnlich wie vor einem Monat in der Rhön ist dieser Planetarische Nebel auch hier unter Bestbedingungen sehr schwer, um nicht zu sagen am Limit beobachtbar. 

[[Purgerthofer-Weinberger 1]], Planetary Nebula in Lynx, 15.03.2015 22:30 Uhr, Bin mit dem Ding fast zwei Stunden zu Gange inklusive Zeichnung. Ganz schwacher Hauch eines sehr großen, runden Nebels. Erneut kann er beim Durchschwenken bei 56 fach und OIII ab und zu gesehen werden. Sehr schwer! Ich hätte gedacht, dass dies hier ein äußerst einfaches Ding sein sollte, bei den Bedingungen. Ist es aber nicht. Offenbar profitiert das Objekt noch mehr vom OIII-Filter, denn vom Himmel. 

''Sharpless 2-308, Bright Nebula in Canis Major, 15.03.2015  23:40'', Großer einfach zu sehender Nebel. Er zeigt sich bei 56 fach und UHC Filter in unmittelbarer Nähe zu dem recht hellen Stern EZ Canis Majoris mit 6.73 mag. Hellster Teil länglich, ca. 30' lang. Breit ca. 5'. Ein Scheinwerfer im Vergleich zu ~PuWe1.

Anschließend M1. Schön anzusehen. Leider bläst der Wind viel zu stark, um hier höher zu vergrößern. 

[[UGC 3697 - Integral Sign Galaxy]], Spiral Galaxy in Camelopardalis, 16.03.2015 0:25 Bei 114 fach zeigt sich zunächst eine dünne Nadel. Südöstlich hellere ovale Begleitgalaxie UGC 3714. Nach langem und sehr geduldigem Beobachten mit mehreren Pausen zeigt sich blickweise, ab und an, der Schweif an der westlichen Seite. Dann wirkt auch der Zentralteil etwas heller auf fast der gesamten Länge. Bei 168 fach auch zu erkennen, aber der Schweif zeigt sich nicht.

Dies war wieder eine schwierige Beobachtung. Bin ganz schön platt.

[[Leo A = UGC 5364]], Irregular Galaxy in Leo, 16.03.2015 02:50:00. Bei 56 fach erscheint bei indirekter Beobachtung ein ovaler geisterhafter Nebel. Kann indirekt gehalten werden. Bin etwas verblüfft, dass dies so einfach geht. 

[[Leo II = UGC 6253]], Elliptical Galaxy in Leo, 16.03.2015 03:30:00, Nochmals eingestellt, quasi zum Vergleich. Deutlich schwerer als Leo A. Kann nur hin und wieder erahnt werden. Aber das wiederholbar. Sehr schwierig!

Abell 38 - Planetary Nebula in Scorpios, 16.03.2015 04:25 Uhr, Trotz intensiver Beobachtung leider nichts. Vielleicht liegt es am gerade aufgegangenen Mond.

Der Mond ist bereits aufgegangen aber noch hinter dem Bergrücken. Ich packe noch alles schnell zusammen. Auf Fotos habe ich jetzt keinen Bock mehr. Außerdem ist es trotz nachlassendem Wind noch immer zu windig.
Bin erst gegen 06:00 Uhr im Bett.  Am Morgen hat der Wind auf Nord - wie vorhergesagt - gedreht.

[[Weiter zur nächsten Nacht>>|16. März 2015]] 

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Und weiter geht‘s. Dieser Herbst ist einfach unglaublich. 21:15 Uhr am Platz und aufgebaut. +3 Grad Celsius. Windig. Seeing mit bloßem Auge nicht gut. War nach dem Eintreffen auf der Wasserkuppe am Radom. Hat mich fast weggeweht. Wind aus Südost mit 54 km/h. Das ist schon was. Von hier oben hat man einen guten Blick. Fulda liegt im Nebel, was gut ist. Am Platz ist es aber zum Glück nicht so windig. Ab und zu errreicht mich aber immer wieder eine Böe.

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Mond und links oberhalb der Mars. Blick Richtung Westen.

!!Der Mond stört bis 23:20 Uhr. Morgen sogar bis 0:30 Uhr.

Reichlich Zeit also um die Brötchen zu verdrücken. Mathias hat sich heute gegen zwei Uhr morgens angekündigt.  

Der Mond ist noch nicht weg. Seeingcheck ergibt sehr gutes Seeing. Geprüft habe ich am Polarstern. Zunächst war es schlecht, dann halbe Stunde später sehr gut. Auch die Sterne stehen jetzt still. Sogar Vega, die mittlerweile nur knapp über dem Horizont steht. 

Erstes Objekt ist wegen des guten Seeing [[NGC 7662 - Blauer Schneeball]]: Schon bei 65 fach als blaugrüner Nebelball mit hufeisenförmiger, innerer Schale gut erkennbar. Reagiert auf OIII sehr gut. Filter braucht man aber keinen. Kann gut bis auf 1000 fach vergrößert werden. Dann zeigt sich ein ovaler Nebel. Östlich zeigt sich auf dem Rand helles Randsegment. Gegenüber, also westlich auch, aber schwächer. Die innere Schale ist sehr deutlich erkennbar. Oval mit Apsiden in fast nördlicher- bzw. südlicher Richtung, die sich kaum zu berühren scheinen, da die fast gerade Verbindungsstücke deutlich dunkler sind und zu verschwinden scheinen. Südliche Apsis prominenter und umlaufend deutlich, nördliche weniger, aber Richtung Westen heller werdend. Inneres der Nebelschale dunkler, aber mit Nebel gefüllt. Der Zentralstern ist zwei, dreimal aufblitzend zu erkennen. Dann wieder bis zu viermal hintereinander. Sehr schwach und absolut schwer, aber dennoch sichere Beobachtung. Seeing 1+. Der Nebel scheint insgesamt auch strukturiert zu sein, was sich aber schwer nachvollziehen lässt. So erscheinen die hellen Hufeisen manchmal wie eine „Perlenkette“. Selten einen PN so scharf und eindrucksvoll beobachtet.

!!Sehr gutes Seeing (wieder einmal)

Das Seeing ist so gut, dass bei 1000 fach schwache Sterne sehr fein abgebildet werden, so als ob man sie mit niedriger Vergrößerung beobachten würde. Hellere zeigen ein ausgeprägtes, scharfes Beugungsmuster. Nur hin und wieder wird an NGC 7662 schlechteres Seeing für vielleicht ein paar Sekunden sichtbar: Dann verschmiert der Nebel und die Strukturen sind kurzzeitig weg, um Sekunden später wieder klar und deutlich aufzutauchen.

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Panorama mit Wolkenbildung gegen 02:00 Uhr Nachts. Der Himmel ist sehr transparent aber „verzirrt“. Trotzdem ist die Wintermilchstraße sehr gut über dem Südhorizont auszumachen. Wir haben die Zirren nicht gesehen, da zu schwach. Nur das SQM-L hat dies mit seinen Werten um 21.38 vermuten lassen.

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Selbe Aufnahme nur weiter gefasst. Rechts die Wasserkuppe (Hotel und weitere Gebäude) selbst, von der mittlerweile auch eine nicht unerhebliche Lichtverschmutzung ausgeht.

In unmittelbarer Nähe steht [[NGC 7640]]: Es zeigt sich eine unscheinbare, zigarrenförmige Galaxie. N-S ausgerichtet mit hellerem abgeknickten Zentralbereich. Bei geduldiger Beobachtung werden schließlich auch die schwachen Ausläufer sichtbar, so dass der Galaxienkörper wie ein sehr langegzogenes „S“ wirkt. 

Nach Monduntergang geht das SQM-L direkt auf 21.54 im Zenit. So gute Werte werden i.d.R erst gegen Morgen erreicht. Jetzt ist es aber erst kurz nach Mitternacht. Vermutlich sorgt der Nebel für die Abschottung der Lichtverschmutzung. Übrigens Meteoblue hatte recht: Luftfeuchte steigt an. 87% relative Luftfeuchte. Hoffentlich gibt es hier nicht doch plötzlich Nebel.

Mittlerweile ist Mathias auch eingetroffen. Pünktlich kurz vor zwei Uhr. Wir quatschen erstmal und staunen über die z.T. fehlenden Lichtglocken. Die sind wohl im Nebel abgesoffen. Gut so.

[[NGC 1535 - Kleopatras Auge]]: Steht sehr tief. Trotzdem ist das Seeing relativ gut. Maximal kann ich auf 430 fach vergrößern. Dann zeigt sich ein heller, fast runder, leicht ovaler Nebel. In seinem Zentrum steht ein gut zu erkennbarer Zentralstern. Ihn umgibt ein geschlossene Nebelsschale, die zudem gut definiert und recht hell ist. Seeing 2-3. Leider bricht das Seeing ein, so dass nicht weiter beobachtet werden kann.

''NGC 2346'': Bei 65 fach ist an der richtigen Position ein recht heller Stern zu erkennen, den ein Halo umgibt. Bei schlechtem Seeing ist bei 430 fach nicht ganz klar, ob der Halo nicht doch vom Stern ist. Kann bei 65 fach jedoch nahezu ausgeschlossen werden. 

Wegen schlechtem Seeing breche ich die PNs ab. Alle Sterne sind jetzt aufgeblasen. Später stelle ich den Rossettennebel mit OIII ein. Nicht schlecht. Dann wieder Simeis 147. Der Himmel wird aber zusehends schlechter. Daher noch mal ein Rückschwenk zum Rosettennebel. M81 & M82 sind der Rausschmeisser bei Mathias. Bei mir sind es Hi & Chi Persei. 05:30 Uhr. Der Himmel ist hell. Als würde die Dämmerung schon einsetzen wollen. 21.27 misst mein SQM-L. Der Himmel ist praktisch eingebrochen. Die Wetterstation der Wasserkuppe meldet 7/8 Wolkenbedeckung, Höhe 10500m. Zirren also.

[[<< Zur Nacht am 05. November 2018|05. November 2018 - Wasserkuppe]] | [[Zur Nacht am 16. November 2018 >>|16. November 2018 - Wasserkuppe]]

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37703767142/in/datetaken-public/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4460/37703767142_3df0306d9b_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Der transparente Aufgang des Erdschattens macht Mut. </div>

Bin heute wieder mit Mathias verabredet. Fahre heute deutlich früher los. Will vor Sonnenuntergang auf der Wasserkuppe sein. Schaffe ich auch. Hier oben ist heute die Hölle los. Ausflügler ohne Ende. Ich checke derweil im Hotel ein.

Der Erdschatten geht sehr transparent auf. Das verspricht eine gigantische Nacht zu werden. Als es schon fast dunkel ist, baue ich am bekannten Platz auf. Läuft gut und so setze ich auch eine [[Zeitrafferaufnahme|https://www.flickr.com/photos/106029581@N02/37538433890/in/datetaken-public/]] auf. Habe die Kamera mit einem externen Akku versorgt, so dass theoretisch die ganze Nacht die Kamera Aufnahmen schießen kann. 

Erstes Objekt ist NGC 6894. Zuvor checke ich das Seeing. Nicht so gut. 2-3. Die Zeitrafferaufnahmen laufen. Es kann losgehen. Ich beobachte schon, da kommt ein Auto. Mathias! Neh. Zwei Leute. Wollten mal schauen. Stehe auf dem Platz eines Vereins. Ist aber kein Problem. Der Wind verscheucht sie schnell, da ihnen kalt wird. Der Wind. Er weht kräftig, aber es hält sich in Grenzen. Bei der Beobachtung wenig störend. Heute ist es nicht so feucht wie gestern. Wind halt. Jetzt taucht Mathias doch auf. Ist ihm hier zu windig. Er zeigt mir einen anderen Platz. Genial. Auch eben und gepflastert, was ich wichtig finde. Bleibe aber an meinem Platz. Wechseln macht jetzt keinen Sinn mehr.

[[NGC 6894]]: Schon bei 65 fach in der Übersichtsvergrößerung gut erkennbar. Am besten bei 430 fach und OIII Filter zu beobachten. Es zeigt sich ein heller Rauchring, mit helleren nordwestlichen und südöstlichen Hälften. Mittig auf dem Rand der nordwestlichen Hälfte befindet sich ein schwacher Stern. Nord- und südlich hellere Bogensegmente. In der  südwestlichen Hälfte sind symmetrisch drei helle Knoten erkennbar. Abseits dieser helleren Bögen ist der Nebel schwächer, zeigt aber dennoch eine deutliche Ringform. Form insgesamt oval. 420 fache Vergrößerung. OIII Filter. 

[[Kronberger 54]]: Sehr kleiner, ovaler Sternhaufen. Bei 290 fach wirkt er sehr unscheinbar. Zeigt östlich am Rand einen schwachen Stern. SH wirkt unruhig. Bei 420 fach zeigen sich im Haufen, genauer im Randbereich 4-5 Einzelsterne. Interessant! 

[[Gyulbudaghian 98-171]]: Kometenförmiger Nebel bei 290 fach. OIII und UHC-Filter funktionieren überhaupt nicht. Der Nebel geht von einem schwächeren Stern aus und verläuft östlich. Im Nebelgebiet ist ein sehr schwacher Stern zu erkennen. Er liegt im äußeren Bereich, wobei der Nebel leicht gebogen auf ihn zeigt. Bei längerer Beobachtung zeigt sich insgesamt eine Erdnussform.

[[Minkowski 1-79]]: Relativ heller, und damit gut sichtbarer PN. Bereits ohne Filter gut beobachtbar. Kann aufgrund seiner Helligkeit ohne Probleme bis auf 420 fach vergrößert werden. Es zeigen sich zwei gegenüberliegende Schalen, die wie Zangen aussehen. Mittig scheinen sie etwas heller zu sein. Verlaufen von Ost nach West. Nördliche ist etwas heller und scheinbar länger. Mitte dunkler. Als Form zeigt sich insgesamt ein längeres Oval.

[[Minkowski 2-2]]: Ovaler, kleiner, recht heller Nebel. Kann ohne Probleme bis auf 420 fach vergrößert werden. OIII-Filter bringt keine große Verbesserung. Der helle Kernbereich ist von einem diffusen Halo umgeben. SQM-L 21.2.

Ich höre rascheln im Auto. Neh, nicht der Wind. Irgendein Tier vermutlich. Eine Maus! Macht sich an den Brotresten in der Plastiktüte zu schaffen. Es sei ihr gegönnt! Ich vertreibe mir die Zeit mit Schaustücken der Wintermilchtraße: M35, M42. Sieht gut aus, wenn auch der Himmel hell ist. Besser als 21.25 war heute keine Messung mit dem SQM-L. Im Winter gehen hier eigentlich schon 21.4. Heute und auch gestern nicht. Verstehe ich nicht.

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 [[<< Zurück zur vorangegangenen Nacht|14. Oktober 2017 - Wasserkuppe]] | [[Zurück zum Artikel >>|Zwei Nächte auf der Wasserkuppe]]

Die sommerlichen Temperaturen im Oktober sind mittlerweile Geschichte, genauer gesagt seit gestern. Jetzt regiert nachts sogar der Frost. Für die Wasserkuppe ist die Wettervorhersage heute diesmal schlechter als für das gute alte Stumpi. Das kommt in der Tat selten vor, aber heute ist es einmal so. Die Wettervorhersage ist tatsächlich auch nicht perfekt, denn es sollen praktisch die gesamte Nacht über Wolken durchziehen, wenn auch nur vereinzelt. Das Thema Nebel ist natürlich auch wieder sowas, aber man weiß nicht genau, wann er zuschlagen wird. Vermutlich wird es ein Ritt auf der Rasierklinge, aber für Mittwoch wurde bereits schon länger ein Wetterfenster vorhergesagt, was ich wohl aber auf den letzten Metern wieder schließen wird. Daher ist es nur vernünftig, die nicht perfekte Chance heute zu nutzen.

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Als ich auf dem Platz ankomme, werde ich erst mal beäugt. Dann frage ich kurz und knapp, ob ich ihr heute beobachten kann. Ich kann. Ich überlege, wo ich aufbauen soll und würde dabei gerne eine der Dobson Plattformen nutzen. Ja, dies sei kein Problem, wenngleich an einer ein riesiges Wohnmobil steht. Sollte aber eigentlich gehen. Weiter weg möchte ich mich nicht stellen, denn die andere Plattform befindet sich schon fast am Bach, der hier vorbei führt, wo dann natürlich das Thema Feuchtigkeit direkt wieder problematisch werden könnte. Ich fachsimple ein wenig mit dem Kollegen und es stellt sich heraus, dass er ebenfalls ausschließlich visuell beobachtet. Er hat allerdings mit dem hier vorhandenen Gerät so seine Mühe, denn dies würde im Moment nicht so gut laufen. Ich frage nach, ob es mit GoTo betrieben wird, was bejaht wird.

Wir kommen auf den Himmel zu sprechen, der in der Tat immer wieder überraschend gut ist. Natürlich sei dies nicht Namibia 🇳🇦 oder Südafrika 🇿🇦, wo der Kollege auch unterwegs sei. Beim Hottie! Dort habe er sogar einen 16 Zoll Dobson eingelagert. Da sein Dobson im übrigen im Moment nicht richtig liefe, würde er einfach bei mir mit beobachten. 😳

Klar und fast windstill. Astronomische Dämmerung ist mittlerweile ja früh, nämlich um halbneun. Erste Messung zeigen, dass der Himmel nicht so überragend ist, denn im Zenit werden mit dem SQM-L 21.3 nur angezeigt. SQM noch schlechter: 21.1. Aber es ist natürlich noch viel zu früh.

Bevor ich jedoch mit der Beobachtung beginne, mache ich erst mal ein paar Stimmungsaufnahmen. Im Feld sind wieder Tiere zu hören allen voran wieder so ein Gebelle. Als ich einen der anderen Kollegen frage, meint dieser, dass dies Rehe seien. Neh, oder? Doch, meint er. Hatte bisher immer den Fuchs im Verdacht, aber, dass so ein kleiner Zwerg so laut krakeelen kann, ist eigentlich auch ein wenig unplausibel. So habe ich diese Theorie jetzt verworfen und sie durch die „Rehtheorie“ ersetzt. Mal sehen, wie lange ich daran glauben werde. 🤪

!Starlink-Train

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Im Nordwesten taucht schließlich ein Starlink-Train auf. Jetzt bin ich zur Stelle und versuche das ganze einzufangen. Mit 30 Sekunden gelingt ein kurzer Schnappschuss, aber bis auf lang gezogene Satellitenspuren neben einer typischen Flugzeugspur ist auf dem Foto leider nicht so recht zu erkennen. Da sind Beobachtungen mit bloßem Auge viel eindrucksvoller oder vielleicht sollte man sein beängstigender?

![[NGC 7331 - Deer Lick Group]]

NGC 7335 ist länglich, mit unscheinbaren, aber sternförmigen Zentrum und hat einen umlaufenden Spiralarm sowie einen diffusen Galaxienkörper, der in den Himmelshintergrund übergeht. PGC 69337 ist eine Galaxie in der Nähe und zeigt sich strukturlos, linsenförmig aber mit kaum wahrnehmbarer Helligkeitszunahme zum Zentrum hin. NGC 7337 zeigt ebenfalls ein sehr schwaches sternförmiges Zentrum und einen diffusen Galaxienkörper. Liegt direkt neben einem Vordergrundstern. 7340 zeigt sich ebenfalls oval, leicht länglich mit sternförmigen Zentrum und deutlicher Helligkeitszunahme zum Zentrum hin. Sonst keine Strukturen zu erkennen. Vergrößerungen: 238x, 378x & 562x.

Im Vereinsheim ist es ein Kommen und Gehen. Tatsächlich habe ich den Eindruck, die Leute verbringen dort die Nacht, während in den Hütten und Sternwarten natürlich fotografiert wird. Aber hin und wieder höre ich ein raunen, wenn ein paar Sternfreunde aus dem Gebäude treten: „Endlich wieder ein Dobson! Das hört man gerne.“

Der verhinderte Dobson-Kollege kommt zum beobachten vorbei. Ich zeige ihm natürlich NGC 7331 und weise darauf hin, dass in der Nähe ein paar schwache linsenförmige Galaxien stehen. Etwas ungläubig schaut er durchs Okular, kann jedoch das ganze erfassen.

![[Stephan's Quintett]]

Die schwächste Galaxie ist 7320 C, die auch etwas außerhalb der Gruppe steht. Die hellste Galaxie ist eigentlich ein Paar, nämlich 7318 A & B, dass sehr dicht beieinander steht. Beide zeigen ein sternförmiges Zentrum und B einen kurzer Balken mit einem kurzen, abgehenden Arm. In der Nähe zeigt sich neben einem hellen Stern 7317 als ovale längliche Galaxie mit Helligkeitszunahme zum Zentrum, die aber kein sternförmiges Zentrum hat. Ebenfalls neben einem Stern zeigt sich mit 7320 eine ovale, recht ausgedehnte Galaxie mit sternförmigen Zentrum und deutlicher Helligkeitszunahme zum Zentrum hin. Die letzte Galaxie 7319 ist sehr interessant, da sie einen zentralen Balken zeigt mit sternförmigen Zentrum hat, wobei vom Balken diffuse Spiralarme abgehen, die mit dem Himmelshintergrund zum Teil verschmelzen. Ein Arm zeigt sich dabei etwas heller und damit deutlicher.

Im Vereinsheim und in den Hütten 🛖 wird „geklönt“. Gelächter 🤭 allenthalben. Die Leute lassen es sich offensichtlich gut gehen.

+1°C und gut feucht ist es. Der Himmel ist leider nicht besser geworden. Bis jetzt jedenfalls nicht. In einer Pause und weil das nächste Objekt zu hoch steht, gibt es noch mal M 13 und schließlich Jupiter. Das Seeing ist gut. Allerdings zeigen sich auf der Oberfläche keine besonderen Details, denn außer den schönen Wolkenbändern ist sonst nichts zu erkennen, auch kein GRF.

Die Wohnmobillistin 🚍 neben mir, muss leider hin und wieder in ihr Fahrzeug. Dabei gehen kurz die Lichter an. Ich quittiere dies mit ein wenig Unmut, worauf die Frage kommt, ob ich fotografieren würde. Tue ich nicht und prompt kommt die Bemerkung: „Na dann ist es ja auch nicht so schlimm, wenn das Licht angeht.“. 🥹

![[NGC 6826]]

In der Nachschau bleibt festzuhalten, dass die Ansen recht diffus sind und sich kaum vom Nebel richtig abheben. Der helle Rand auf einer Seite kann bestätigt werden, gegenüber zeigt sich der Nebel begrenzt, aber ohne hellerem Rand. Der Zentralstern ist wirklich richtig hell. Bei 148x und [OIII]-Filter zeigt sich ein schwacher, aber eindeutiger runder Halo, der gut abgegrenzt wirkt. Manchmal hat man den Eindruck, dass ich sogar als Abschluss ein feiner, dünner Ring zeigt, Durchmesser etwa 1,5 bis zweifach größer als der PN selbst. 

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Milchstraße von Horizont zu Horizont. So muss das sein! Zwar wirkt der Himmel bis circa zwei Uhr recht seifig, aber später wird der Himmel noch mal einiges besser, was sicherlich an der Lichtverschmutzung liegt, die offenbar zurückgeht, denn die Luftfeuchtigkeit steigt weiterhin kontinuierlich an. Rechts neben Jupiter sind auch recht deutlich der Gegenschein und auch die Lichtbrücke ansatzweise sichtbar.

Ich schaue auch immer wieder, wie die Lage auf der Wasserkuppe ist. Das ist immer wieder wichtig, denn die Prognose sagte ja, dass es hier besser und dort schlechter sein würde. Und es ist tatsächlich so! Die Wetterstation auf der Wasserkuppe meldet Sichtweiten um 1000 m und später sogar um 100 m! Daher gehe ich auch davon aus, dass hier spätestens um drei Uhr Schluss ist, denn auch hier sagt der DWD, wird ab diesem Zeitpunkt der Nebel die Regie übernehmen.

![[NGC 7048]]

Es zeigt sich wie bei der letzten Beobachtung ein runder Nebel, mit recht markantem Rand. Keine Details gegenüber der letzten Beobachtung erkennbar. Am besten bei 378x. Bei 562x hingegen ist der Nebel dann doch zu dunkel.

!IC 349

Endlich wird bei 900x, ein kleiner Knubbel sichtbar. Ist sogar relativ hell, allerdings geht leider trotz Drahtspinne ein Spike durch das Objekt. Sehr schwer, aber sicher zu erkennen. Keine Details erkennbar. Jedoch scheint das Objekt nicht einfach rund und oval, sondern „dreieckig“ von der Form her zu sein. Hoffe nicht, dass dies nur ein Reflex im Okular war. Habe auch versucht mit einem Ortho zu beobachten, aber das Objekt bewegt sich leider viel zu schnell. Hierfür ist tatsächlich dann auch eine automatische Nachführung notwendig.

__Kommentar:__ zwei Nächte später schaue ich mir erneut das ganze an und kann dabei nichts definitives erkennen. D.h. hier muss man tatsächlich sagen, dass dies vermutlich eine Fehlsichtung war.

Himmel wird jetzt einen Ticken besser. Im Zenit immerhin 21.41. Die Luftfeuchtigkeit steigt weiter an. Jedenfalls muss es so sein, denn mein Atem zeigt dies unmissverständlich, denn helle „Wolken“ kommen aus meinem Mund. Als ich schließlich zurück am Teleskop bin, prüfe ich in weiser Voraussicht den Fangspiegel: beschlagen! Das war’s an dieser Stelle. Zwar könnte ich jetzt noch ein paar Verrenkungen unternehmen und ihn wieder flott machen aber sofern die Luftfeuchtigkeit nicht sinkt, ist das ein idiotisches Unterfangen. Eine halbe Stunde später ist er dann wieder in der Regel wieder dicht. Im übrigen ist die Heizung an gewesen aber man sieht daran, dass einfach irgendwann alles nichts mehr hilft. Ich schaue noch auf den Komakorrektor, der ebenfalls angelaufen ist. 

Also packe ich mein Zeug ein, denn die Vorhersage ist sich ja auch im Vorfeld sicher gewesen, dass es um drei Nebel geben wird. Vielleicht ist es jetzt noch nicht der Fall, denn ich schaue noch mal mit bloßem Auge den mittlerweile sehr guten Himmel an. Aber in der Regel hat die Vorhersage ja doch recht. Sich hier jetzt bei schlechter werdender Transparenz rumzuquälen, macht keinen Sinn. Also alles eingepackt und dann Richtung Heimat. Beim Verlassen des Platzes komme ich noch mal ordentlich ins schwitzen, denn natürlich ist die Frontscheibe innen und außen angelaufen beziehungsweise vereist. Irgendetwas von innen zu erkennen, ist praktisch unmöglich. Aber so zockele ich über den Platz mit ein paar mal Ein- und Aussteigen bis zur Landstraße hoch, wo ich dann warte, dass die Heizung endlich die Betriebstemperatur erreicht, um die Frontscheibe vom Wasser und Eis zu befreien.

[[Weiter zur nächsten Nacht >>|17. Oktober 2023 - Lange Rhön]]

Tagsüber laufe ich von Birx bis zur ehemaligen innerdeutschen Grenze. Der Blick zurück auf das Dorf ist immer wieder schön. Eigentlich immer noch bizarr, dass hier vor 25 Jahren noch die innerdeutsche Grenze verlief.

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Das Zeug ist getrocknet. Zum Glück. Heute ist es deutlich trockener, leichter Südostwind, sehr angenehm. Deutlich wärmer mit +14 °C. Der Sommer ist zurück. Mathias ist heute auf dem HTT. Ich hoffe, er hat eine gute Zeit dort. Hohe Wolken ziehen früher als vorhergesagt durch, so dass es früher dann auch wieder klar wird. Heute ist Freitag, aber ich hoffe, dass es hier trotzdem ruhig bleibt. In Birx, wo ich untergebracht bin, ist ab heute Kirmes.

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![[Vyssotsky 1-2]]

Schwierig aufzufinden. Das Sternfeld ist ziemlich tricky. Dann das richtige Sternengruppe gefunden, welches ein fast gleichzeitiges Dreieck bildet, wobei einer der Sterne ein Doppelstern ist. Verwendet man dann einen [OIII]-Filter, so wird einer der Sterne im Vergleich zu den anderen deutlich heller. Ohne Filter ist dieser etwa so hell wie die beiden Doppelsterne, d.h. auch dunkler als der dritte Stern. Mit dem Filter dann ist er so hell wie dieser und deutlich heller als der Doppelstern. Bei 562x zeigt sich bereits, dass „der PN“ auch ein anderes Beugungsmuster hat als andere Sterne, insbesondere auch als der gleich helle Doppelstern, denn es ist etwas verschmierter und es zeigt sich auch keinen heller (Beugungs-)Punkt In der Mitte. Bei Steigerung der Vergrößerung auf tausendfach, zeigt sich in einigen Momenten ein hellerer Ring, in dessen Mitte blickweise immer wieder ein Zentralstern aufblitzt. Sehr schönes Objekt. Leider gestaltet sich die Beobachtung etwas schwierig, denn das Seeing ist variabel. Sehr interessante Beobachtung.

Mittlerweile geht ein bisschen Wind und alles ist trocken. Die Wetterstation sagt zwar etwas von 80 % Luftfeuchte, aber das ist offenbar falsch. Selbst das Autodach ist trocken. Beim Blick in die Landschaft, sieht man auch, dass es heute viel weniger Feuchtigkeit gibt. Leider ziehen offenbar - wie vorhergesagt -  noch hohe Wolken durch, denn der Himmel ist seifig. Trotzdem werden mit dem SQM-L 21.4 im Zenit erreicht.

Ich starte mit einer Verifikation der Reinzeichnung der Draco Gruppe. Die folgende Galaxie war auch Thema in der Deep Sky Tour von „Astronomie - Das Magazin“ in Ausgabe 36. Bin gespannt, was zu sehen ist.

![[NGC 6764]]

Es zeigt sich eine Balkenspiralgalaxie mit sternförmigen Zentrum. Der Balken ist sehr gut zu erkennen, selbst wenn man die Galaxie sehr hoch vergrößert.  An den Enden des Balkens sind schwach kurze Arme sichtbar, die diffus in den Galaxienkörper übergehen, der den Balken ganz zart umgibt. Das Zentrum sitzt direkt auf einem Quartett aus Vordergrundsternen auf. 

Der Himmel ist deutlich besser geworden. Mittlerweile 21.45 im Zenit. Hin und wieder lebt der Wind auf, um sich dann wieder komplett zu legen. Hervorragende Bedingungen. Was ich allerdings bemerke ist, wenn Wind geht, wird das Seeing deutlich schlechter. Sehr ruhig heute, bisher kein Auto vorbeigekommen. Man hört entfernt immer wieder Geräusche von entfernt fahrenden Autos, aber hier ist alles ok. 

![[NGC 7048]]

Schon bei Übersichtsvergrößerung im Sternfeld als PN gut auszumachen. Kann sehr stark vergrößert werden. 378x scheint mir optimal zu sein. Vergrößere zwar auf 562x aber dafür ist das Seeing schlecht. Es zeigt sich ein sehr schöner heller, runder PN. Eingebettet in Randnähe zwei Sterne. Dort scheint der Nebel auch etwas heller zu sein und hat eine Fahne, die ins Nebelinnere zeigt. Rand ist sehr gut definiert und scheint auch etwas heller zu sein, Mitte etwas dunkler. An einer Stelle ist der Rand unterbrochen. Filter bringen zwar mehr Kontrast lassen aber die Details und Helligkeitsunterschiede verschwimmen. Wunderschönes Objekt.

Nachts hört man immer wieder Geräusche. Mal eine Art bellen und jetzt grunzen. Ich mach mich zwar bemerkbar, aber irgendwie interessiert das keinen. Daher mache ich mal eine Pause im Auto. Irgendetwas rüttelt am Gatter der gegenüberliegenden Weide. Ist es nur eine Kuh oder doch ein Wildschwein? Ich verdrück mich erst mal ins Auto. 

![[NGC 7331 - Deer Lick Group]]

Sehr schöne Gruppe. Die Mega helle Galaxie NGC 7331 dominiert das Feld. Östlich sind insgesamt vier linsenförmige Galaxien zu erkennen, die zum Teil sternförmige Zentren haben. Bilden mit NGC 7331 ein wirklich schöne Gruppe. NGC 7331 zeigt ein sternförmiges und ausgedehntes rundes Zentrum, an das sich ein Balken anschließt, der hin und wieder etwas unruhig wirkt. Die Außenbereiche laufen sehr diffus aus wobei auf einer Seite deutlich ein Bogen zu erkennen ist. Auf dieser Seite zeigt sich auch eine diffuse Dunkelstelle, als Abgrenzung zum nach Westen, abgehenden Spiralarm. 

Unweit der Deer Lick Group befindet sich auch Stephans Quintet. Doch schnell mal zwischendurch Jupiter einstellen. Monookular sieht das schon sehr gut
aus. Daher der Griff zum Bino und es verschlägt mir den Atem: Jupiter zeigt zwar nichts spektakuläres, allerdings viele Bänder und am Äquator helle ovale, blaugrüne Bögen und Bänder in einem Ton von braun, gelb und etwas orange. Natürlich war das keine Höchstvergrößerung aber trotzdem haben wir im Moment sehr gutes Seeing. Ich plane daher Jupiter als letztes Objekt heute anzuschauen. Die Pause kommt mir gerade recht, denn jetzt muss ich mich erst noch mal wieder adaptieren.

Der Himmel wird jetzt immer dunkler. Heute haben wir eigentlich Earth Day, d.h. der Tag, wo eigentlich alle ihr Licht ausmachen sollen. Gemerkt hat man das bisher nicht. Mittlerweile ist der Himmel deutlich dunkler, wie das häufig hier der Fall ist. SQM-L 21.52 im Zenit. Offenbar sind die Wolken weg.

![[Stephan's Quintett]] und IC 349

Die fünf Galaxien sind recht einfach zu erkennen. Zwei zeigen sternförmige Zentren, die anderen hingegen nicht. Wirklich auch kurios beide Gruppen (Deer Lick Group) in fast einem Gesichtsfeld sehen zu können. Einfach nur schön!

Ich versuche noch IC 349, aber trotz gewissenhafter Beobachtung und höchster Vergrößerung kann ich trotz sehr gutem Seeing im Strahlenkranz von Merope nichts definitives erkennen. Schade!

![[M 77]] Nachschau 

Deutlich besser als gestern. Hell und oval. Inneres sehr hell mit sternförmigen Zentrum. Zwei prominente Spiralarme sind direkt erkennbar, der nach Norden hin zeigt hat am Ende einen Knoten. Außenbereich, schwach und zum Teil diffus und großräumig strukturiert. Vermutlich gehen hier auch Spiralarme ab. Östlicher äußerer Teil etwas dunklerer als westlicher. Wunderbar!

Kurz vor fünf! Schnell die Kamera aufbauen und ein paar Schnappschüsse machen!

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Anschließend geht es, wie geplant noch mal zum Jupiter. Am Rand taucht der große rote Fleck in einem farbigen Orange 🍊 auf. Mega! Die Jupitermonde sind kleine Scheiben und ein neben ihnen stehender, fast gleich heller Stern, ist als solches erkennbar, denn er zeigt ein anderes Beugungsmuster, nämlich die typische Sternform mit 3-4 Beugungsringen. Krass! Wunderschön. 

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Als ich zusammen packe, ist es mittlerweile schon recht hell. Ich will unbedingt noch mal auf der benachbarten Weide schauen, ob man sehen kann, welche Tiere dort sind. Und es sind einfach Kühe! Wie peinlich. Ich will nur noch ins Bett 🛌, denn es ist mittlerweile schon nach sechs. Ich nehme auch eine quasi illegale Abkürzung und komme dabei an unserem alten Beobachtungsplatz vorbei und muss erkennen, dass etwas entfernt ein Auto 🚘 auf dem Weg steht. Der Jäger? Glaube ich nicht, aber im Nu wende ich und mache mich davon und nehme den längeren Weg. Das Risiko einer Begegnung wollte ich nicht eingehen, und der Weg ist ohnehin so schmal, dass man an einem parkenden Auto nicht vorbei gekommen wäre. Um 6:30 Uhr bin ich endlich im Bett und total k.o. Während einer Pause in der Nacht habe ich schon die Wettervorhersage angeschaut. Die Bewölkung soll zu nehmen, wobei einige Wetter Apps sagen, dass es weiterhin Nachts klar wird. Ich schlage mich auf die Seite der negativen Meldungen und muss sagen, dass ich eh zu fertig bin, um noch eine Nacht durchzuhalten. Daher fahre ich nach wenigen Stunden Schlaf schließlich zufrieden nach Hause.

[[<< Zurück zur letzten Nacht|10. September 2023 - Lange Rhön]] | [[Weiter zur Beobachtungsübersicht >>|Rhön im September 2023]]

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7timer und kachelmannwetter sind sich einig. Der Wind nimmt ab und klar wird es auch. Aemet sekundiert leichte Bewölkung gegen zwei Uhr morgens. Nun gut. Luftfeuchtigkeit soll lt. kachelmannwetter hoch sein. Lt. eltiempo.es auch. Für mich ist es die Gelegenheit da endlich mal hin zu fahren. Seit gut fünf Jahren plane ich das schon. Gegen drei Uhr nachmittags geht es in der Nähe von Madrid los. Fahre über die A3 Richtung Valencia und dann über die A40 nach Cuenca. Von Cuenca aus geht es über gut ausgebaute Landstraßen Richtung Tragacete. Dann über zwei Pässe: den Puerto de Cubillo (1600m üNN) und den Puerto de Portillo (1780m üNN).

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Ich erreiche so die Höhezüge de Alto Tajo am späten Nachmittag. Kurz vor Orea endet die asphaltierte Straße, die schon hier mächtige Schlaglöcher aufweist und nun in eine Schotterpiste (Pad) übergeht. Ca. 6 km dann ist sie wieder asphaltiert. Auf dem Pad gibt es auch ordentliche Schlaglöcher. Alles ist problemlos passierbar, wenn man schön aufpasst und nicht zu schnell fährt. Komme schließlich im Hostal „Alto Tajo“ (wie passend) an. Ich nehme den Zimmerschlüssel in Empfang und fahre die letzten vier Kilometer zum St. Cristobal, den Hausberg von Orea mit 1890m üNN. Ich komme an meiner im Vorfeld „ausgespähten“ Wiese vorbei und fahre weiter bis zum Gipfel. Wow! Wie schön hier.

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Am Gipfel befindet sich ein kleine unscheinbare Kapelle, ein riesiger Sendemast mit Dieselgenerator und zutrauliche Schafe und Ziegen. Rennen mir hinterher. Muss schließlich durchgreifen. Sehr schön hier oben und ich überlege die Nacht hier aufzubauen. Der Wind soll ja praktisch in dieser Nacht komplett zurückgehen. Entscheide mich schließlich dagegen und baue auf der Wiese unterhalb auf. Am Anfang stört der Mond noch. 

Nach dem Monduntergang versuche ich zunächst einmal ein Panorama zu schießen. Aufgrund der hohen Luftfeuchtigkeit, beschlägt nach einer Weile leider die Frontlinse. Trotzdem reicht es, um den Himmel am Horizont abzubilden. 

[[Henize 1-5]]: Nachschau. Bei 290 fach ist eindeutig an der richtigen Position ein ovaler Nebel zu sehen. Auf dessen Rand und nicht in der Mitte steht ein Stern. Position konnte damit bestätigt werden.

Habe diesmal ewig für das Aufsuchen gebraucht. Keine Ahnung was los war. War die ganze Zeit an verschiedenen Positionen falsch unterwegs. Irgendwie war der Wurm drin.

[[NGC 6886]]: bei sehr gutem Seeing ist der winzige Nebel ab einer Vergrößerung von circa 800 fach als Ring zu erkennen. Bei 1300 fach zeigt sich tatsächlich ein immer noch sehr heller Ring, der aber nach Norden und Süden einen Spalt geöffnet ist. Der Spalt im Norden ist einfacher zu erkennen. ZS ist nicht zu sehen, obwohl ich mir das stellenweiser einbilde. Kann aber nicht sein, da in unmittelbarer Nähe ein schwacher Stern zu sehen sein müsste, der aber von mir nicht erkannt werden kann. Und der ist heller als der Zentralstern. Bei 65 fach ist der Nebel absolut sternförmig und bildet mit zwei weiteren Sternen ein rechtwinkliges Dreieck aus recht hellen Sternen.

SQM-L 21.76 +8 °C, sehr hohe Luftfeuchtigkeit. Vermute über 90 %. Windstill.

Noch mal an NGC 6210 probiert: bei 1300 facher Vergrößerung werden leider keine weiteren Details zur Beobachtung vor ein paar Tagen sichtbar. Mir scheint sogar trotz des hervorragenden Seeings die Vergrößerung von 1300 fach zu hoch zu sein, da praktisch keinerlei Kontrast im Objekt mehr da ist. Einfach nur Matschig.

[[Perek 1-16]]: erst bei 290 fach als kleiner unscharfer Stern erkennbar. Bei 430 fach zeigt sich dann ein kleiner runder Nebelball. Bei circa 800 fach ist der Rand gut definiert erkennbar. Inneres gefüllt aber etwas dunkler. Winzig! 21.65 im Pegasus Viereck. +6 °C.

[[NGC 6905]]: Bei 65 fast schon als kleiner runder Nebel erkennbar. „Blue Flash“ aber bei dieser Vergrößerung ist keine Farbe erkennbar. Kann schön hoch vergrößert werden. Reagiert sehr gut auf UHC Filter. Dann wird ein sehr strukturierter Nebel sichtbar, in dessen Mitte ein Zentralstern steht. Wichtigste Strukturen sind zwei gegenüberliegende helle Schalen, sowie ein gefülltes strukturiertes Inneres mit Dunkelstellen und Nebelbänken. Parallel zu den hellen Balken sind schwache Ohren ähnlich wie bei M27 zu erkennen. Sehr schönes Objekt. 

Mittlerweile ist es 5:00 Uhr. Die Dämmerung hat bereits eingesetzt. Es ist immer noch relativ feucht aber die Luftfeuchtigkeit hat nicht weiter zugenommen. Ein sehr schöner Ort. Gefällt mir. Der Himmel auch.

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[[Zurück zum Artikel>>|Pinar de Araceli Sommer 2018]]

<div class="tc-link-info-item-large" style="float:right;margin-left:15px;margin-bottom:0px;margin-top:5px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/63Fk6W" title="Vollmond"><img src="https://live.staticflickr.com/65535/51271394723_45943698b1_h.jpg" alt="Vollmond"></a> Zum Vollmond bin ich immer noch hier. Verrückt die ganze Sache. Trotzdem hatten die Nächte etwas magisches.</div> 

Wie gestern bereits ausgeführt ist an astronomische Beobachtungen im Moment nicht zu denken. Die Gründe liegen dafür auf der Hand. Ein ganz praktischer Grund ist natürlich auch, dass der Mond heute bis 23:30 Uhr am Himmel stehen wird. Es war nach der Planung dann auch eigentlich die letzte Nacht, wo ich überhaupt beobachtet hätte. Ich tue dies aber tatsächlich nicht, und habe auch nicht vor es zu tun.

Aktuell ist das Thema Rückreise in der Schwebe. Risikotechnisch betrachtet ist die Wahrscheinlichkeit eines negativen Antigentest tatsächlich sehr gering. Deshalb überlege ich den Flug schon vorab um eine Woche zu verschieben. Im Falle eines sehr unwahrscheinlichen negativen Antigentest, was die These stützen würde, dass wir tatsächlich kein Corona haben, sondern tatsächlich eine Erkältung, wie es sich tatsächlich auch von den Symptomen her gestaltet, würde ich kurzfristig ein neues Ticket lösen und den Rückflug antreten. 

Unklar ist, warum tatsächlich weitere Kontaktperson praktisch keine Symptome zeigen, d.h. die Übertragung gestaltet sich nicht so einfach, wie es bei Corona der Fall sein sollte. Dies stützt zumindest die These, dass es tatsächlich eben eine Erkältung sein könnte. Es bleibt also bis zum Schluss spannend.

Mitreisende vermuten vor diesem Hintergrund, dass wir die indische Variante haben, denn diese gehe tatsächlich nicht mit den typischen Corona Symptome einher, sondern gleiche eher einer Grippe beziehungsweise Erkältung.

!18. Juni - Tag der Wahrheit 

Sehr früh am Morgen geht es los. Es ist praktisch noch Nacht. Wir werden von einem Shuttle Bus abgeholt und fahren nach Windhuk. Langsam kommt die Dämmerung und mit ihr schließlich die ersten Sonnenstrahlen. Die Stimmung ist natürlich gedrückt, aber irgendwie trotzdem magisch, denn wir begegnen auf dem Weg nach Windhuk eine Gepardenfamilie. Die Tiere sind so nah, und am liebsten würden wir alle aussteigen um Fotos zu machen. Aber natürlich tun wir das nicht und können uns irgendwie auch nicht darüber freuen. Später wird uns Kerstin erklären, dass sie noch nie in den letzten 20 Jahren dort Geparden gesehen hätte, obwohl sie dies immer erhofft hatte.

In Windhuk haben wir am 18. Juni schließlich unseren offiziellen Test. Tatsächlich werden zwei Personen negativ getestet, der Rest positiv. Eine negativ getestete Person reist schließlich ab, die andere Person begibt sich mit den positiv Getesteten in eine mindestens einwöchige Quarantäne.

Wir leben in den Tag hinein, wie man so schön sagt. Erholung steht dabei an erster Stelle. Wir tun alles um wieder fit zu werden. Ich habe sogar das Glück, meinen Flug kostenlos verschieben zu können. Andere haben das seltsamerweise nicht. Wir verschieben unsere Flüge schließlich um eine Woche. Neuer Rückreisetermin ist der 25. Juni. Schnelltests haben wir leider nicht mehr, so dass wir alles auf eine Karte setzen müssen. Dazu muss man wissen, dass in Namibia keine Schnelltests zum Verkauf angeboten werden. Letztendlich bleibt der Grund dafür unklar. Einige vermuten, dass dies an der zum Teil gefährlichen Flüssigkeit liegt, die letztendlich für die Testung verwendet wird.

Die Tage sind tatsächlich sehr zäh. Abends schauen wir hin und wieder gemeinsam Filme im Aufenthaltsraum. Dort befindet sich eine interessante DVD-Kollektion. Ich versuche hin und wieder Sonnenauf- und untergänge einzufangen.

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Ich habe mich mit meinem Arbeitgeber übrigens in der Zeit arrangiert und arbeite von Tivoli aus praktisch die gesamte Zeit. Musste zwar aus unterschiedlichen Gründen zwei Tage Urlaub einreichen, aber was soll’s. Da es keine Zeitverschiebung gibt, ist das Arbeiten recht angenehm. Zwar habe ich noch Symptome wie Kopfschmerzen, aber sie klingen langsam ab. Reinhold hat uns zum Glück auch für die Quarantänezeit keine weiteren Kosten in Rechnung gestellt außer dem zusätzlichen Shuttle Transfer. Durch die kostenlose Umbuchung bei Lufthansa sind mir also insgesamt keine Kosten angefallen. Schon erstaunlich und danke Reinhold! So klingt schließlich die Arbeitswoche aus, bis wir dann einen neuen Versuch starten.

! Krankheitsverlauf

Die Quelle unserer Ansteckung ist mit sehr sehr hohe Wahrscheinlichkeit bekannt. Die Person damit auch. Interessant ist zu beobachten, welchen Verlauf die Delta Variante bei uns hat. Bei mir stellen sich recht schnell, d.h. nach circa drei Tagen typische Grippesymptome ein. Hier habe ich bereits die Vermutung, dass wir uns mit Corona angesteckt haben könnten, aber die Gruppe will das nicht wahrhaben. Ich habe zum Glück zwei Schnelltests dabei, und verwende einen, um mich zu testen. Dabei kommt kein eindeutiges Ergebnis heraus. So habe ich den weiteren Schnelltest für „bessere“ Tage auf. Der Krankheitsverlauf ist praktisch bei allen Betroffenen identisch. Eine Person erholt sich erstaunlich schnell. Diese kann auch schließlich am 18. Juni ausreisen, da sie negativ getestet wird. Ein weiterer Beobachter auf der Farm, der den Ausflug nicht mitgemacht hat, steckt sich am Ende auch nicht an für ihn bleibt die ganze Geschichte mysteriös und am Ende wird er dadurch praktisch gar nicht beeinträchtigt. Interessant ist auch, dass diejenigen, die nicht geimpft sind, den gleichen Verlauf wie der Rest hat, und auch nicht schneller und auch nicht langsamer genesen. Ich Depp beobachte praktisch die ganze Zeit bis zum 14. Juni. Das ist der Tag, wo wir offiziell alle Corona haben. Bei mir zeigen sich in dieser Zeit unangenehme Kopfschmerzen mit Einschränkung des Gleichgewichtssinns und eine gewisse Verwirrtheit. Die Kopfschmerzen kriege ich mit Paracetamol und Aspirin sehr gut im Griff, so dass ich – wie gesagt – die ganze Zeit nachts beobachte. Später kommt der sogenannte trockene Husten dazu, insgesamt spüre ich das Ganze wie eine Grippe.

! Vollmondnächte

In den Nächten rund um den Vollmond bin ich immer wieder abends draußen. Es ist unglaublich, wie hell er scheint. Selbst die helle südliche Milchstraße verblasst praktisch komplett. Das hätte ich so niemals erwartet! Beobachtung sind, vermutlich wenn man die Planetarischen Nebel weg lässt, nicht möglich.

! Schließlich können wir am 25. Juni ausreisen

Eine Woche später fahren uns zu Reinhold und Kirsten wieder nach Windhuk. Da sie bereits in zwei Wochen wiederum Gäste erwarten, müssen wir, sofern wir positiv getestet werden in ein Quarantänehotel in Windhuk einchecken. Daher ist die Lage natürlich angespannt. Wir haben natürlich im Vorfeld alle möglichen Webseiten gecheckt und versucht herauszufinden, wie lange man durchschnittlich nach einer COVID Infektion noch positiv getestet werden kann. Wir liegen mittlerweile mit nahezu fast drei Wochen nach der Infektion in dem zeitlichem Korridor, wo die Erkrankung zum einen abklingt und auch Tests in der Regel aufgrund der kaum vorhandenen Viren noch anschlagen.

Nach der Testung warten wir alle gespannt auf die entsprechende ~WhatsApp beziehungsweise E-Mail Nachricht. Die ersten sind bereits negativ getestet, aber ich warte immer noch auf mein Ergebnis. Das war auch schon das letzte Mal so, und so muss ich noch mal per E-Mail eingreifen. Letztlich bleibt es unklar, woran es bei mir liegt, möglicherweise hat dies mit meinem Nachnamen zu tun. Aber wer weiß das schon. Schließlich trifft auch mein negatives Testergebnis ein. Wir können alle heim reisen!

Eine Besonderheit hat ein Mitreisender, der aus dem europäischen Ausland stammt. Da wir aus dem Virusvariantengebiet einreisen, dürfen im Kern nur deutsche Staatsbürger nach Deutschland einreisen. Er hingegen darf in Frankfurt nicht aussteigen, sondern muss tatsächlich in ein Drittland weiter reisen. Ich empfehle pro forma ein Flugticket für ein Drittland zu erwerben aber tatsächlich zu versuchen in Deutschland durch die Passkontrolle auszureisen. Andere dagegen meinen, dass dies unmöglich sei und er das gar nicht probieren solle. Ich entgegnete den Skeptikern, dass solche Regeln in der Praxis, insbesondere wenn sie kurzfristig angesetzt werden, möglicherweise nicht kontrolliert werden können. Die Einreisebeamten werden mit Sicherheit die ganzen Spezialregeln, die von einen auf den anderen Tag in Kraft treten, nicht im Kopf haben. Das wichtigste ist allerdings jetzt, dass wir alle in den Flieger steigen.

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Zunächst müssen wir die Passkontrolle der Lufthansa passieren und tatsächlich ist ein offenbar Lufthansa Angestellte vor Ort und kontrolliert alle Nachweise. Ich werde aufgefordert, meinen Koffer zu entleeren und einige Dinge ins Handgepäck zu verschieben. Verrückt, als gäbe es nicht andere Probleme!

Wir schaffen es schließlich alle ins Flugzeug und kommen am nächsten Morgen in Frankfurt wohlbehalten an. Der Kollege aus dem europäischen Ausland kommt auch ohne Probleme durch die deutsche Passkontrolle und kann den Zug ins benachbarte Ausland nehmen. Alle sind extrem erleichtert. Ich begebe mich direkt ins Testcenter, wo ich am Vortag vor Abreise bereits ein PCR-Test gebucht hatte. Ich benötige ihn als Genesungsnachweis, obwohl ich bereits in ein paar Tagen die zweite Impfung bekommen soll. Erstaunlicherweise werde ich negativ getestet! Dies erfahre ich natürlich 24 Stunden später, wo ich bereits zu Hause in Quarantäne bin. Am Ende habe ich überhaupt keinen belastbaren offiziellen Nachweis, dass ich tatsächlich an Corona erkrankt war. Der positive Antigentest vom 18. Juni zählt nämlich nicht. 

Ich gehe schließlich ein paar Tage später zur zweiten Impfung und bin danach platt. Dies ist auch kein Wunder, da ich vermutlich voll gestopft bin mit Antikörpern aufgrund der nur wenige Wochen zurückliegenden Corona Erkrankung. Damit bin ich allerdings Kompliment im Sinne der Corona Regeln. Das ist mir insbesondere wichtig, da ich somit weiterhin verreisen kann, was am Ende aber keine Rolle spielt, da ich das Deutschland 🇩🇪  in diesem Jahr nicht mehr verlassen werde.

[[<<Zurück zur vorangegangenen Nacht|15. Juni 2021 - Tivoli Astrofarm]] | [[Zurück zur Beobachtungsübersicht >>|Namibia Juni 2021]]

Der Himmel ist total verzirrt. Trotzdem lässt es sich heute beobachten. Man müsste halt einfach auf helle Objekte ausweichen. Ein Beispiel hierfür wären zum Beispiel Kugelsternhaufen. Später gegen ein Uhr soll es dann tatsächlich richtig klar werden. Morgen soll auch noch mal was gehen, übermorgen, dann definitiv nicht. Interessant sind die Vorhersagen diverser Wetterapps, die sich deutlich unterscheiden. „Wetter Online“ sagt eigentlich immer klar voraus und das jede Nacht. Bin gespannt, ob sich diese positive Einschätzung vermutlich doch durchsetzt oder die offizielle Version, dass es mindestens zwei Nächte bewölkt, wenn nicht sogar drei oder sogar im Worst Case vier werden. Das würde bedeuten, dass ab hier der Urlaub, d.h. dann ab Sonntagnacht beendet ist. Ich bin gespannt, mal sehen, wie das ausgeht.

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Was man an dieser Stelle auf jeden Fall festhalten kann, ist die Tatsache, dass trotz fünfeinhalb Stunden Nacht die Zeit echt rennt. Gefühlt würde ich die verfügbare Beobachtungszeit auf vielleicht die Hälfte schätzen. 

Bin bei Sonnenuntergang wie immer am Beobachtungsplatz. Es geht ein leichter Wind, der aber komplett abflaut. Es ist richtig warm hier oben. Ab Mitternacht sollen die Wolken verschwinden. Im Moment ist es teilweise bewölkt, sieht richtig übel aus. Abwarten. Habe heute einen bösen Vergleich gewagt: habe die Wetter Seite von La Palma aufgerufen und musste feststellen, dass bei bester Transparenz dort das Wetter noch mal deutlich besser ist. Tja, so kann es gehen.

Heute kam ich auch mit der Hotelbesitzerin ins Gespräch. Es kam dann die Frage auf, ob ich Profi sei, d.h. hier, ob dies mein Beruf sei und davon leben könne. Kann ich leider nicht. Es wird auch wieder Astrologie und Astronomie verwechselt. Es wird gesagt, dass man sich sehr wohl auch für Astrologie interessieren würde und damit ist tatsächlich das Thema Horoskope gemeint. Ich überlege kurz, ob ich darauf einsteigen soll, aber ich lasse es und sage nichts. 

Es ist mittlerweile halbelf noch eine Stunde bis zur astronomische Dämmerung. Ich werde langsam nervös, denn die Wolken sind doch recht hartnäckig. Die hellsten Sterne können durch die Wolkendecke durch scheinen, der Rest aber eher nicht. An der nahen Straße sind häufig vorbeifahrende Autos zu hören. Heute ist quasi die Wochenendvölkerwanderung im Gange, d.h. hier ist die halbe Region mit dem Auto auf den Beinen. Wenn das heute Nacht was wird, dann habe ich 50 % der Beobachtungsnächte im Kasten. Und käme morgen dann noch eine halbwegs gute Nacht dazu sogar noch mehr. Der Rest ist dann geschenkt.

Dummerweise gibt es hier oben keinen Handyempfang mehr. Gab es nämlich mal. Aber nun nicht mehr. Sonst könnte ich nämlich einfach nachschauen, wie lange die Wolken noch brauchen. So geht das natürlich nicht. Trotzdem scheint sich nach Westen hin ein Loch aufzubauen. Gut, dass ich in diese Richtung vorhabe, das erste Objekt zu beobachten. Zwischendurch vertreibe ich mir die Zeit ein wenig mit der Fotografie, so auch mit einem Schnappschuss der Venus.

Plötzlich ein Geräusch in etwa 100 m Entfernung. Eine Art schnaufen oder sowas und das laut. Ich schnaufe zurück. Das doofe ist, das Tier antwortet mit einem weiteren wilden Schnauben. Ich mach vorsorglich mal alle Türen zu - zumindest angelehnt - und verdrücke mich mal ins Auto. Hier sind die letzten Tage schon einige Dinge passiert, Steine sind oben auf dem Berg gerollt worden, von wem auch immer, ich muss mich dann immer beruhigen und mir gut zu reden, dass mir ja hier nichts passieren kann. Das doofe ist natürlich, dass ich neben einer Viehtränke aufgebaut habe, was natürlich idiotisch ist. Aber es ist ein guter Platz und das ist was zählt und die Tränke ist eigentlich für Schafe und Ziegen.

Ich warte auf Mitternacht. Dann müsste ja wieder der Typ von der Feuerwache vorbeikommen. Ich würde ihn gerne fragen, ob der Hund, den man in der Nähe hört und der die ganze Zeit bellt, frei rum läuft oder irgendwo eingesperrt ist. Dann würde ich ihn auch gern fragen, was dieses grunzen aus dem Wald bedeutet; denn es hat wieder geknackt und etwas hat vor sich hin gegrunzt und das obwohl ich mich bemerkbar gemacht habe, kamen trotzdem Widerworte. Zumindest interpretiere ich das so. Aber der Typ kommt nicht. Heute ist ja Freitag. Also eigentlich ein Arbeitstag. Vermutlich hat er aber auch schon eine vier Tage Woche. Ein Feuer wird wohl auch nicht am Wochenende ausbrechen. Ich beschließe, noch bis ein Uhr zu warten und wenn es dann nicht aufklart, abzubauen. Bis um zwei zu warten hab ich doch kein Bock mehr. Ich hoffe bloß nicht, dass das dies die letzte Nacht hier war. Ab morgen greift Tiefdruck über und dann muss man schauen was passiert. Die Vorhersage - wie gesagt - ist schlecht.

<<<.tc-big-quote

!Gute & Schlechte Transparenz - Vergleichsmessungen mit dem SQM

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Hier ein Vergleich von zwei sehr unterschiedlichen Nächten. Links die von heute, rechts die von vor zwei Nächten. SQM-Werte weichen deutlich voneinander ab. Dies liegt daran, dass heute Nacht der Himmel total seifig aufgrund der Zirren war. Dadurch hat die Transparenz abgenommen und die Lichtverschmutzung natürlich zu. Es geht hier auch nicht um die absoluten Werte, denn diese sind aufgrund der hellen Milchstraße im Zenit natürlich verzerrt. Beide Aufnahmen stammen von einer modifizierten Sony Kamera und sind ohne Weißabgleich im Himmelsuntergrund komplett grün und Airglow ist nicht die Ursache. Das erkennt man schon am Grünton. Der Vergleich zeigt sehr schön, dass das SQM sehr sensitiv ist und damit die Himmelsgüte sehr gut eingeschätzt werden kann. Insbesondere die Tatsache, dass der komplette Himmel vermessen wird, ist ein Vorteil.

Man erkennt auch sehr schön, dass die schwachen Anteile der Sommermilchstraße bei fehlender Transparenz kaum sichtbar sind. Auch erkennt man sehr gut, dass vor allem im Westen die grünliche Lichtverschmutzung deutlich stärker ist. Das beide Aufnahmen einen tiefen Grünstich zeigen zeigt wiederum, dass es auch hier Lichtverschmutzung gibt und diese stammt vermutlich hauptsächlich von den umliegenden Dörfern. Das sieht man praktisch nur auf Aufnahmen in Namibia nicht.

<<<

Halbeins, es klart auf. Zum Glück! 

![[NGC 4485 & 90 - Kokon Galaxie]]

Mega interessantes Galaxienpaar. Eigentlich komisch, dass ich dies bisher noch nicht intensiv beobachtet und gezeichnet habe. Es zeigen sich im Kern zwei Galaxien, die offenbar interagieren. Eine von beiden ist lang gezogen und irgendwie verdreht. Die andere ist linsenförmig mit helleren Balken und Helligkeitszunahme zum Zentrum hin. Die unregelmäßige, lang gezogene Galaxie, wirkt auf den ersten Blick spindelförmig. Sie zeigt ein fast stellares Zentrum mit zwei abgehenden prominenten Spiralarmen, die leicht versetzt sind und an den Enden gebogen erscheinen. Um das Zentrum herum zeigt sich ein hellerer, markanter Bogen, etwas außerhalb versprengtes Nebelteil. Alles ist verpackt in einen spindelförmigen diffusen Galaxiekörper. Kann im 14 Zöller bis auf 290x ohne Probleme vergrößert werden. Optimale Vergrößerung ist aber etwas niedriger. Faszinierend! 

Heute sind die Temperaturen noch mal deutlich höher. Bis jetzt habe ich noch keine Daunenjacke gebraucht, werde sie aber jetzt anziehen, da es jetzt notwendig wird. Das Autodach ist doch knapp beschlagen d.h. die Luftfeuchtigkeit ist heute noch mal geringer als gestern. Der Himmel ist heute recht seifig, aber das SQM-L misst immerhin 21.55. Das Gerät ohne Linse hingegen 21.28! Es reagiert viel sensibler als das mit Linse. Sehr interessanter Vergleich.

![[NGC 6629]]

Das Seeing ist heute wieder außergewöhnlich gut. Ich würde direkt eine eins vergeben. Dies ist auch notwendig bei dem angesagten Objekt. Wunderschön anzusehen und schon bei Übersichtsvergrößerung kann man bereits an der richtigen Position erahnen, dass man einen PN vor sich hat. Gegenüber den anderen Sternen nicht so klar definiert und leicht neblig verschmiert. Auf jeden Fall ist er hell und kann bis auf 800x vergrößert werden. Dann zeigt sich sofort ein heller, runder Nebel und man erkennt sofort, dass es insgesamt zwei Nebelschalen gibt, eine innere und eine äußere. In der Mitte thront wunderschön ein recht heller ZS, der ohne Probleme und ohne flackern die ganze Zeit über ruhig in der Mitte steht. Wunderschön anzusehen.

![[NGC 6644]]

Und der nächste Planetarische Nebel! Lt. ~SkySafari von NGC 6629 unweit entfernt und gerade zufällig gesehen und direkt eingestellt. Es ist unfassbar, denn es zeigt sich fast das gleiche wie bei 6629. Nur, hier ist das Objekt noch viel winziger. Selbst 800x bringen fast nichts, denn das Objekt bleibt, fast weitgehend stellar. Dennoch zeigt sich ein winziger, sehr heller aber gut begrenzter Reifen, in dessen Mitte ein ebenfalls sehr heller Stern steht. Dieser überstrahlt die Szenerie offenbar massiv. Trotzdem habe ich den Eindruck, dass sich zwischen ihm und dem Nebel ein „wenig Luft“ befindet in Form von dunklem Raum. Ebenfalls fantastisch! Seeing 1!

Himmel bricht jetzt massiv ein. Mit Linse 21.46, ohne 21.22. Die Werte werden noch schlechter: 21.34 mit Linse 45° über Westhorizont und 21.14 ohne Linse im Zenit.

![[NGC 6960 - Sturmvogel]]

Zum Abschluss gibt es noch mal den Sturmvogel. Ich beginne auch eine Zeichnung. Hoffe das es morgen noch mal halbwegs gut wird, um sie zu finalisieren. Würde ungern mit dem „kleinen“ Teleskop in die Rhön fahren müssen, um das fertig zu stellen. Wenn morgen noch was geht, bin ich sehr zufrieden! Diese Nacht war nicht so gut, aber am Ende konnte ich doch richtig beobachten. Für die Rhön wären das hier heute mal wieder Top Bedingungen gewesen.

[[<< Zurück zur letzten Nacht|15. Juni 2023 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|17. Juni 2023 - Pinar de Araceli]]

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16. Mai 2015. Tagsüber gab es Wind aus Süden. Es war auch nicht so heiß wie die letzten Tage. Die Transparenz hat offenbar zugenommen, auch wenn am Dämmerunghimmel leichte Zirren, ähnlich wie gestern zu sehen sind. Die Temperaturen fallen nach Sonnenuntergang diesmal deutlich schneller. 

Wenn ich morgen Früh ins Bett falle, ist Halbzeit. Dann bin ich tatsächlich schon eine Woche hier.

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''Abell 7, 18:25 Uhr:'' In der Dämmerung bereits aufgesucht. Sternfeld identifiziert und mit Zeichnung begonnen. Beim Einsetzen der astronomischen Dämmerung verschwindet das Objekt leider wieder hinter der berühmten Palme.

''NGC 1763, 18:50 Uhr:'' Schon im Feldstecher als kleines Wölkchen etwas außerhalb der Großen Magellanschen Wolke zu erkennen. Bei hundertfach zeigt sich ein komplexes Objekt bestehend aus offenbar zwei offenen Sternhaufen, wobei einer von einem diffusen Nebel umgeben ist. Weiterhin gibt es zwei Sterne, die ebenfalls von einem runden, diffusen Nebel umgeben sind. Einer der Sterne scheint offenbar ein Doppelstern zu sein. Insgesamt zeigen sich ein offener Sternhaufen, sowie die beiden Sterne mit umgebenden diffusen Nebeln. Sie bilden dabei ein gleichschenkliges Dreieck. Offenbar handelt es sich bei NGC 1763 um den Nebel und den offenen Sternhaufen. Der Sternhaufen ist länglich und der Nebel nierenförmig.

''NGC 2477, 20:35 Uhr:'' Im Feldstecher zeigt sich ein kleines rundes Nebelwölkchen direkt neben einem relativ hellen Stern. Sieht aus wie ein Kugelsternhaufen. Bei hundertfach im 25 Zöller ist der offene Sternhaufen komplett aufgelöst. Es zeigen sich viele relativ schwache Sterne von ähnlicher Heiligkeit.

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![[NGC 4676 A & B - Die Mäuse mit 25 Zoll]]

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{{NGC 4676 A & B - Die Mäuse mit 25 Zoll}}

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![[NGC 2736 - Herschel's Bleistift]]

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{{NGC 2736 - Herschel's Bleistift}}

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![[Abell 48]]

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{{Abell 48}}

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''NGC 2451, 20:40 Uhr:'' Im Fernglas schöner Anblick. Wenige helle und farbige Sterne. Bei hundertfach im Teleskop kaum als Sternhaufen zu erkennen. Es zeigen sich vielleicht ein Dutzend helle Sterne wobei die meisten weiß-bläulich leuchten. Der Hellste ist allerdings ein heller roter Stern. Wenig spektakulär. 

''NGC 2546, 20:50 Uhr:'' Schon mit bloßem Auge als relativ großes Nebelwölkchen in der reichen Milchstraße sichtbar. Im Feldstecher bereits komplett aufgelöst. Im Teleskop nicht viel besser, da der auf den Charakter komplett verloren geht. Viele gleich helle Sterne, die zu Ketten an geordnet sind. Die helle Sterne sind vor allem am Rand des Sternhaufen es angesiedelt.

''NGC 4676, 21:30 Uhr:'' So geschafft. Endlich habe ich die Mäuse gefunden. Was ich tatsächlich unterschätzt habe ist die Tatsache, dass sie doch relativ schwach sind. Aber jetzt sind sie drin und bei AP 3.5 mm und 180 fach und sogar mit AP 2.5 mm und 280 fach lässt sich ein Gezeitenschweif ohne Probleme über die gesamte Länge verfolgen.

''[[NGC 2736 - Herschel's Bleistift]], 0:30 Uhr:'' Bei maximaler AP wird der Nebel bei hundertfach im Übersichtsokular direkt sichtbar. Mit UHC-Filter ist der Nebel einfacher zu erkennen. Am besten jedoch ist hier der OIII-Filter. Der Nebel zeigt sich tatsächlich dann als Strich mit Stellen unterschiedlicher Helligkeit. Hellste Stelle befindet sich am nordöstlichen Ende. An der westlichen Seite beziehungsweise Kante spannt sich ein Nebeldreieck auf, dass indirekt schwach sichtbar wird. Blickweise wird in diesem Dreieck mindestens ein Streifen als Struktur sichtbar. Weiter westlich wird zu dem ein ovaler versprengter Nebelteil sichtbar.

''[[Abell 47]], 1:15 Uhr:'' Relativ einfach aufzufinden. Befindet sich in der Nähe der Scutum Sternenwolke. Bei 180 fach und OIII-Filter wird indirekt immer wieder aufblitzend ein sehr kleiner runder Nebel sichtbar. Kein Zentralstern sichtbar, auch ohne Filter nicht. Trotz exzellenter Bedingungen und 25 Zoll Öffnung gestaltet sich die Sichtung sehr schwierig! Kann aber wiederholt, nach mehreren Pausen, erneut gesichtet werden.

''Abell 48, 3:25 Uhr:'' Befindet sich in direkter Nachbarschaft zu Abell 47. Sehr kleiner runder Nebel, der indirekt nur hin und wieder bei 180 facher Vergrößerung und OIII-Filter aufblitzt, aber das zuverlässig. Auch nach mehreren Pausen kann er immer wieder aufgespürt werden. Reiches Sternfeld erschwert das Auffinden. Im direkten Vergleich mit Abell 47 scheint dieser hier tatsächlich etwas einfacher zu sein.

Ich habe mit der Beobachtung sehr viel Zeit verbracht. Geschätzt über zwei Stunden inklusive Zeichnung. Hintergrund ist dass ich an der falschen Stelle geschaut hab und dann fast einer scheinbar erfolgreichen Beobachtung aufgesessen bin. Ohne Filter war an der vermeintlichen Stelle allerdings ein schwacher Stern auszumachen, der dann im Filter immer wieder einen Nebel vorgetäuscht hat. Ich habe das Sternfeld erneut mit dem Kartenmaterial verglichen und festgestellt, dass ich an der falschen Stelle beobachtet hatte. Die richtige Stelle lag nur unweit entfernt und schließlich stellte sich die Sichtung überraschend schnell ein.

Ich bin total platt. Ich beschließe schließlich noch ein paar Aufnahmen der Milchstraße zu machen. Kurz mache ich noch mal einen Abstecher in die Kleine Magellansche Wolke, aber ohne konkretes Ziel. Ich bleibe noch bis zur Morgendämmerung und gehe dann ins Bett.

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[[Weiter zur nächsten Nacht>>|17. Mai 2015 Tivoli]]

!Roque de los Muchachos 

Zirren überall. Aber es gibt Lücken. Morgen ist starker Wind angekündigt. Daher muss auch diese Nacht genutzt werden. Wind aus Nord. Kaum merkbar. Nicht wie gestern. 

Gegen 22:00 Uhr sind die meisten Zirren verschwunden. Ich habe mir die Zeit mit Fotografieren vertrieben. 

Habe wieder an der Straße aufgebaut. Am linken Bildrand das TNG, sowie rechts davon das GRANTECAN sehen.

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[[Abell 16]], Planetary Nebula in Lynx, 16.03.2015 22:30, Bei 114 fach und OIII kleiner runder Nebel, der indirekt nicht ständig zu halten ist. Keine Strukturen und auch kein ZS sichtbar. In der Nähe des Randes sehr schwacher Stern.

[[Abell 7]], Planetary Nebula in Lepus, 16.03.2015 23:05, Riesiger Abell. Bei 56 fach und OIII tatsächlich im reichen Sternenfeld nur die beiden hellsten Nebelteile gesehen. Form unklar. Kleinerer Teil auf jeden Fall rund. Indirekt gut beobachtbar. Restliche Nebelgebiet im reichen Sternfeld nicht gesehen.

Die Adaption ist gut. Kann auf der POSS-Karte im Deep Sky Beobachteratlas die hellsten Sternw erkennen. Vermute, dass dies auf mit Zeitungsüberschriften gehen würde. Nächstes Objekt geht lt. Atlas auch, wenn auch sehr schwierig. Ich versuche es.

''Abell 13, Planetary Nebula in Orion, 16.03.2015 23:50'', Sichelförmiger Nebel. Bei 114 fach und OIII-Filter blitzt er hin und wieder auf. Beobachtung kann nach kurzen Pausen wiederholt werden. Relativ groß. Vom restlichen Nebel nichts weiter gesehen. Heller Stern im Gesichtsfeld stört die Beobachtung doch sehr. Bei 56 fach nicht zu sehen. Sehr schwer.

Ich überlege kurz, ob ich eine Zeichnung anfertigen soll. Entscheide mich schließlich dagegen, da das Objekt äußerst schwach und nur wenige Male sicher aufblitzte und eine erneute Sichtung beim Zeichnen und Rotlicht schwierig ist. Die Zeit und die Nerven möchte ich jetzt nicht investieren. 

Gegenschein im Bauch des Löwen gesichtet. Die Dunkeladaption ist maximal. Kann mich auf dem dunklen Boden perfekt orientieren; Steine und Sträucher gut erkennen. Den visuellen Eindruck gibt das Foto hier gut wieder. Visuell natürlich in S/W:

[[NGC 4038 & 4039 - Antennengalaxien]], 17.03.2015 02:40, Helles Galaxienpaar. Bei 168 fach deuten sich Strukturen in beiden Galaxien an, aber vor allem in der helleren von beiden, NGC 4038. Dort zeigen sich blickweise Knoten und helle stellare Strukturen. Die Kerne sind blickweise immer wieder zu sehen. Die gigantischen Antennen bleiben aber selbst bei 114 fach verborgen. Der Schweifansatz bei der helleren Galaxie ist aber zu erkennen. 

Der Himmel ist gut. Im Schnitt 21.6 mit dem SQM-L. Auch die Transparenz stimmt jetzt.

''Jupiter'': Seeing ist Super! Selbst 430 fach lassen sich sinnvoll einsetzen. Der GRF steht nahe des Meridians. Orangefarben. Blickweise werden sogar Strukturen innerhalb sichtbar. Beide Äquatornahe Bänder sind in Momenten besten Seeings strukturreich. Weitere Bänder werden blickweise in Polnähe sichtbar.

Bei so gutem Seeing sollte HCG 55 versucht werden.

''NGC 3735, Spiral Galaxy in Draco, 17.03.2015 03:50'', auf dem Weg zu HCG 55. Spindelförmige Galaxie mit hellerem Zentralbereich, der sich fast auf der gesamten Länge zeigt.

''HCG 55, Galaxy Group in Draco, 17.03.2015 04:05'', Bei 114 fach indirekt als Strich sichtbar. Mit 290 fach werden dann blickweise drei Galaxien getrennt sichtbar und zwar mit deutlichem Abstand. Unterscheiden sich deutlich von umliegenden schwachen Sternen, da eindeutig flächig. Glaube sogar eine Helligkeitszunahme zum Zentrum hin auszumachen, wie sie für viele Gx typisch ist.

Die restliche Zeit schaue ich mir den Himmel mit bloßem Auge an. Ein paar Zirren sind in Horizontnähe noch zu sehen. Um 05:30 Uhr ist alles verstaut.

Als ich unten bin, stürmt es aus NE. Auf dem Roque ist es windstill. Schon eigenartig. Habe ich aber schon mehrfach erlebt. Am nächsten Morgen ist der Himmel perfekt und Super transparent.

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Panorama vom Roque. Auch hier gibt es Lichtverschmutzung.

[[Weiter zur nächsten Nacht>>|17. März 2015]] 

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Alles gut. War erst um 05:45 im Bett. Richtig gut erholt bin ich leider nicht. Habe in zwei Etappen etwas mehr als sechs Stunden schlafen können. Zu wenig, zumindest für meine Verhältnisse. Morgen soll es noch mit dem schönen Wetter weiter gehen. Aber für mich wohl eher nicht. Vertage die Entscheidung final aber auf morgen früh, wird wohl eher nix, denn der Mond soll bis 01:30 am Himmel stehen. Für vier Stunden ist mir das dann doch zu viel Aufwand, insbesondere dann, wenn es wieder sehr windig und kalt ist. Mathias versucht mir das ganze dennoch schmackhaft zu machen. Schwierig.

!!Die Beobachtungsobjekte gehen mir aus

Darüber hinaus gehen mir so langsam die Objekte in den Listen aus. Kanabalisiere bereits die neue, die ich eigentlich für Anfang Januar angelegt hatte. 

<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/45197657404/in/dateposted-public/" title="Untitled"><img src="https://farm5.staticflickr.com/4819/45197657404_000d30e859_c.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Beste Transparenz!</div>

!!Eine neue Kamera muss her oder doch nicht?

Trage mich mit dem Gedanken eine Sony Alpha 7s Kamera zu kaufen, um noch mehr Schnappschüsse und vor allem bessere zu machen. Bin quasi schon fast besessen von dem Gedanken. Dann evtl. auch die Modifikation derselben, um ein bisschen mehr H-Alpha Nebel aufnehmen zu können. Das Problem ist, dass dann auch Objektive gekauft werden müssen, denn aktuell fotografiere ich mit einem „Kamerazwerg“ einer Sony RX 100 III. Exzellentes Teil ohne Frage. Praktisch alle meine Fotos sind mit ihr gemacht worden. Mal sehen was ich machen werde.

!!Wind ohne Ende

Am Abend geht es los. Wind mit über 68 km/h. Nicht schlecht. Bin schon gespannt, was am Beobachtungsplatz los ist. Vermutlich die Hölle. Plane schon den Feldstecher ein. Im „Worst Case“ eben ins Bett 🛏. Aber mal sehen. Leider konnte ich mich nicht so gut erholen. Obwohl müde, kann ich dann doch nicht schlafen. Doof.

!!Endlich am Platz 

Mathias ist schon da. Kalt ist es. Auf dem Dach bildet sich schnell Raureif. Wir quatschen bis der Mond untergeht. Für den Wind, der jetzt immer heftiger bläst, ist das Seeing aber trotzdem recht gut. Erstes Objekt ist [[Sh2-254 & Co oder wie Mathias sagt: Die drei Schneebälle|Sh2-254/5/6/7 - Die drei Schneebälle]]: „Leicht auffindbar. Bei 65 fach ohne Filter nicht zu sehen. Erst mit H-Beta gut erkennbar, wenn man sich eingesehen hat. Dann zeigen sich um drei Sterne runde Nebel, die aber nicht von den Sternen selbst her rühren. Ost-Westlich ausgerichtet und nahezu äquidistant. Östlicher am hellsten, westlicher am schwächsten. Am östlichen sind hellere Teilsegmente erkennbar, blickweise sehen sie auch wie Fahnen aus. Westlicher Nebel mehr als doppelt so groß und diffus auslaufend, während die anderen recht gut begrenzt sind. Die 40 fache Vergrößerung zeigt dies besser. Nördlich des mittleren „Schneeballs“ ein weiterer viel kleinerer. Schwer zu erkennen, auch hier hilft die 40 fache Vergrößerung weiter.“

Am 21 Zöller ist alles viel einfacher zu erkennen. Ich positioniere das Objekt auch am 21 Zöller, da Mathias mit der ausgedruckten Sternkarte nicht zurecht kommt. Ich mahne - wie eigentlich immer - endlich digital zu werden und den Papierkram zu lassen. 🤔 Sehr feines Gerät. Brauche auch sowas! Ein kurzer Blick zeigt, dass praktisch alles heller und einfacher zu sehen ist. Tja...

!!Sternschnuppe

Wir glotzen Richtung Süden. Dann sehen wir ein schnelles, aber nicht zu helles, Objekt auf uns zu kommen. Es saust über unseren Köpfen hinweg und zieht eine Leuchtspur hinter sich her. Absolut beeindruckend. 180 Grad Sternschnuppe! ☄️ 

03:00 Uhr. Saukalt und windig. Aber sehr dunkel. 21.56! Für Herbst wieder mal der Hammer. Wolken, die dunkler sind als der Nachthimmel tauchen auf. Müssen sehr tief sein, denn sie jagen schnell über den Himmel und die meisten lösen sich sofort wieder auf.

Ich vertreibe mir die Zeit mit M42. Im Deep Sky Guide ist eine wunderbare Übersichtszeichnung von M42 drin. Sehr inspirierend! Hole mir das Objekt mit OIII vor den Spiegel. Traumhaft. Die Bedingungen sind heute wirklich gut.

Nächstes und letztes Objekts ist [[NGC 2282]]: Bereits bei 40 fach in der Übersichtsvergrößerung als Glimmen um einen 10 mag hellen Stern zu sehen. UHC-Filter wirkt nicht. Bei 65 fach deutlicher. Ich vergrößere aber noch auf 114 fach. Es ist schließlich ein diffuser Bogen nordwestlich des Sterns wahrnehmbar, südöstlich hellerer, ovaler Knoten. Beide sind in einen Glow eingebettet und befinden sich praktisch auf dessen Rand bzw. in Randnähe. 

04:30 Uhr. Ich bin durch. Sehr kalt. Mathias zieht durch. 

!!Zodiakallicht ist eine Stunde vor Dämmerungsbeginn gut zu sehen

Kurzer Blick an den Himmel: Wieder heller, so wie gestern. SQM-L 21.48. Das Zodiakallicht ist gut zu erkennen. Keine Wolken lt. Wetterstation, die praktisch immer recht hat.

Kalt ist es. Jetzt ist der Herbst wirklich rum und der Winter da. Nächste Woche sollen die ersten Schneeflocken fallen.

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Mathias nimmt noch die nächste Nacht mit. Angekündigt sind 17% rel. Luftfeuchte in der zweiten Nachthälfte. Man darf gespannt sein, ob das wirklich passt. Tut es dann nicht ganz. Es sind nämlich 53%. Auch gut. Wind soll auch abnehmen, was er auch tat. Viel Spaß Mathias!

 
[[<< Zur Nacht am 15. November 2018|15. November 2018 - Wasserkuppe]] | [[Zurück zum Artikel >>|Herbstfest auf der Wasserkuppe]]

So, endlich in Bonilla! Der Beobachtungsort ist mir seit langem bekannt, so dass ich hier nicht viele Worte verlieren werde. 
Ich komme rechtzeitig zum Sonnenuntergang an. Es ist angenehm warm, nicht heiß. Es ist Samstag und außer mir hat noch jemand den Weg hier gefunden. 
Der Dobson ist draußen nach einiger Zeit aufgebaut. Ich habe ihn vor einigen Wochen mit zusätzlichen Besenstielen verstärkt. Zunächst sollte auch der Okularauszug noch mal ausgetauscht werden, aber nachdem ich ihn mit einem Spritzer Fett geölt hatte, lief er deutlich geschmeidiger. Auch ein Ethos 3.7 mm soll hier und heute sein "Second Light" sehen. Second, da es bereits bei einem anderen Sternenfreund sein "First Light" sah. 

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Der Erdschatten geht auf. Im Süden ziehen am Horizont die Wolken ab.

Ich hatte eine Liste über 160 Beobachtungsobjekten in Sky Safari einprogrammiert. Darunter waren viele neue Objekte und ich hoffte, dass ich die Liste halbwegs abarbeiten würde.

Windig mit Spitzen bis ca. 40 km/h geschätzt und auch so vorher gesagt. 21.36 SQM-L gegen Mitternacht im Zenit.

Erstes Objekt war Mars, später dann Saturn. Für das Ethos war das Seeing in dieser Höhe aber dann doch zu schlecht. Später gab es dann auch M8. Aber da die astronomische Dämmerung noch nicht abgeschlossen war, zeigte sich das Objekt zunächst recht flau. 

*''Haute Provence 1'': Ein recht selten beobachteter KS im Sternbild Schlangenträger inmitten eines immensen Dunkelnebelgebiets in der südlichen Milchstraße. Rund diffus und relativ einfach aufzufinden. Direkt auf einer leicht geschwungenen Dreierkette schwacher Sterne nordwestlich aufsitzend, genauer über den ersten beiden, im Westen. Hin und wieder scheint sogar das sternartige Zentrum aufzublitzen. Beste Sicht bei ca. 300 fach. Insgesamt recht einfach.
*''Palomar 11'': Klein, rund und diffus ohne Helligkeitszunahme zum Zentrum hin. 3-4 Sterne blitzen immer mal wieder auf. Etwas schwieriger zu beobachten als HP1. Am Besten bei 114x beobachtbar.

Mit dem Kollegen wurde öfters ein Schwätzchen gehalten. Zum Schluss ging ich abermals mit max. Vergrößerung auf den Ringnebel. Aber leider war das Seeing mittlerweile schlecht. Gegen 0:45 Uhr ging schließlich der Mond auf. Am Ende blieben wir bis gegen 02:00 Uhr. Der Himmel verblasste mit dem Mond recht schnell und die Transparenz war auch nicht die allerbeste. Aber was soll ich mich beschweren: Der Wetterbericht in Deutschland zeigte kräftigen Regen an.

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Auf dem Foto ist links die Lichtbrücke mit dem Gegenschein auf der rechten Seite (nahe der Bildmitte) knapp über dem Sternbild Capricorneo zu sehen. Rechts die Milchstraße. Die Aufnahme entstammt einem All Sky Panorama (__hier:__ sphärische Projektion), das ich die Nacht von ca. 02:30-03:50 Uhr MESZ am Morgen des 18.08. aus insgesamt 109 Aufnahmen bei 15 sec und 6400 ASA sowie f1.8 (24mm Brennweite) gemacht habe. Die Bedingungen waren nicht die besten, da die Luftfeuchte hoch war und zeitweise Wolken durchzogen.

Das Wetter im August ist dieses Jahr richtig schlecht. Wolken und sogar vereinzelt Regen verhindern die Beobachtung.
Trotzdem fasste ich kurzfristig den Entschluss zum Pinar de Araceli zu fahren. Die Nacht war dann durchwachsen. Wolken zogen durch und ließen den Himmel zeitweise komplett zuziehen.

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{{All Sky Panorama - Pinar de Araceli}}
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Erstes Objekt war Saturn. Dann legte ich am Anfang erstmal einen kleinen Messiermarathon hin. Die Highlights des Sommerhimmels wurden angefahren., d.h. M24, B86, Tintenklecks, M8, M6 & M7, M16, M51 mit den Säulen der Schöpfung, M17, M20. Barnard 72 & 142, 143. Beeindruckend! Bei 430 fach bewegte sich bei M13 nichts, so gut war das Seeing. Am Ost- und Südhorizont kommen Wolken auf. Eine steht schließlich in der Nähe des Pfeifennebels und es schaut so aus, als ob der Nebel zum Wolkenkomplex gehören würde. Faszinierend!

Dann nochmal LSA 1:'' LSA 1, 0:30 Uhr:'' Besser zu sehen als in Bonilla. Durchsicht ist einfach besser. Bei ca. 600-700 fach ist der Nebel trotzdem zu dunkel. Bei 430 fach zeigt  er sich deutlich besser und die hellen Kanten werden wieder sichtbar. Insgesamt wird wieder der Ringcharakter deutlich, kann aber nicht dauerhaft gesehen werden.

''Abell 56, 01:00 Uhr:'' Leider nichts definitives zu sehen. Weder bei 56 fach noch bei 114 fach mit OIII nichts definitives gesehen. Nebel wird von relativ hellen Sternen eingerahmt, welche die Beobachtung stören.

Dann ging für fast eine Stunde nichts. Wolken zogen durch. Als es wieder aufklarte, investierte ich fast 1.5 h in ein All Sky Panorama. Leider waren die Bedingungen nicht optimal, aber das SQM-L zeigte zumindest wieder Werte um 21.6 an. Visuell war der Himmel zu Beginn der Nacht hervorragend. Der Unterschied zu Bonilla war offensichtlich. 

Danach machte sich Beobachtungsmüdigkeit breit. IC 59 & 60 wurden angeschaut:

''IC 59 & 60, 04:00 Uhr:'' Dreieckiger Nebel neben Gamma-Cassiopeii. weiterer länglicher, gebogener Nebel 90 Grad versetzt. Sind miteinander über schwache, diffuse Nebelbrücke verbunden. 56 fach mit und ohne UHC-Filter.

Dann nochmal der Zirrusnebel: Ohne Filter sind alle Nebelteile zu erkennen auch die zwischen den Bögen befindlichen NGC 6974 & 6979. Die Nebel um Gamma-Cygni werden auch schon ohne Filter schwach sichtbar. Dann M33. Toller Anblick.

Wieder vereinzelte Wolken. Nun kommt wieder der Feldstecher zum Einsatz. Dann ist es wieder klar. Jetzt muss noch was ernsthaftes her. Was einfach ist zum zeichnen. Die Bobachtungsliste schlägt Wolf-Lundmark-Melotte (WLM) oder UGCA 444 = PGC 143 vor.

''WLM, 04:30 Uhr:'' Bei 56 facher Vergrößerung bereits schwach sichtbar. Spindelförmige, große Galaxie mit kaum merkbarer Helligkeitszunahme zum Zentrum hin. Überraschend einfach.

Im Nachgang als Recherche (__Anmerkung:__ Die Recherche sollte man vor der Beobachtung machen, dann entgeht einem auch nichts!) sollte auch ein KS der Zwerggalaxie sichtbar sein. An der entsprechenden Stelle war ein sternartiges Objekt zu sehen, was ich auch als Stern gezeichnet habe. Vermutlich war es auch tatsächlich ein Stern und nicht der KS. HHhhhmm Vorbereitung, Vorbereitung...

[[Weiter zur nächsten Nacht >>|18. August 2015 - Pinar de Araceli]]

Ich komme zum Sonnenuntergang am Beobachtungsplatz an. Auf dem Weg durch den Wald sehe ich sogar ein Wildschwein. Behäbig macht es sich auf und verschwindet im Dickicht. Es ist stark bewölkt, aber es soll ja aufklaren. Ich fahre den Waldweg bis zum Platz und suche dann den optimalen Untergrund. Ich möchte natürlich hier nicht im Schlamm stehen, was aber zum Glück nicht der Fall ist, denn hier oben wird der Boden von Schafen regelmäßig abgeweidet, so dass der Bewuchs sehr kurz ist und fast wie ein Teppich anmutet. Hier parke ich und möchte kurz auf dem Gipfel die Umgebung anschauen. Zuvor treffe ich noch den Schäfer, einen alten Mann, der kurz mit dem Auto hält, als er mir entgegenkommt. Vermutlich hatte er Futter für die Schafe dabei. Ich öffne das Fenster und spreche kurz mit ihm, und frage ihn auch, ob er sich noch an mich erinnern würde. Er entgegnet, dass er sich noch gut an mich erinnere und schmunzelt vielsagend.

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Die Vorhersage ist auf Kante genäht, denn sie sagt, dass es im Laufe des Abends komplett aufklaren soll. Oder doch nicht? Dann ist es plötzlich wirklich klar und das bereits vor der astronomischen Dämmerung. Ich baue auf, und muss sogar das zerlegte Teleskop im Feld zusammenbauen, was mir gar nicht gefällt. Aber es gelingt recht schnell und sogar die Kollimation. Dann zieht es wieder plötzlich zu. Das gibt es doch gar nicht! Beim ersten Blick durch das Teleskop bei niedriger Vergrößerung und auch mit bloßem Auge ist das Seeing wahrscheinlich ziemlich gut. Luftfeuchtigkeit ist unglaublich hoch, laut Messgerät bei 97%. Kein Wunder, dass sich jetzt wieder Wolken bilden. Schließlich klart es dann doch komplett auf. Die Temperaturen fallen sogar unter den Gefrierpunkt. Trotzdem ist es relativ angenehm. Erste Objekte sind die Plejaden, dann Jupiter. Aber heute hat es kein „Planeten-Seeing“.

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Dann beobachte ich einen alten Bekannten. Es handelt sich dabei um ein Messier-Objekt.

!Supernovaüberrest [[M 1 - Krebsnebel]]

Bei 80x im 14 Zöller groß, oval und im Innern nicht homogen. Es zeigt sich bereits bei niedriger Vergrößerung und dunklem Himmel, eine unregelmäßige Struktur. Vermute zunächst ein langgezogenes, unregelmäßiges „Z“. Im Nebel und auf dem Rand sind blickweise immer wieder Sterne zu erkennen. Bei Verwendung eines [OIII]-Filters wirkt M 1 tatsächlich strukturiert, was nicht unmittelbar auffällt, sondern erst nach ein paar Momenten. Hier sollte man sich einfach die nötige Zeit lassen, um die schwachen Strukturen einzufangen. Nordwestlich im Innern blitzt immer wieder - fast sternförmig – etwas längliches auf, offenbar ein helleres Filament. Entfernt man den Filter, verschwindet es komplett. Ingesamt wirkt der Nebel mit Filter jetzt eindeutig gemottelt. Bei weiterer Steigerung der Vergrößerung auf 168 x zeigt sich der Nebel ohne Filter sehr unregelmäßig und knotig. Im Nebel tauchen jetzt auch etwa ein halbes Dutzend Sterne auf. Die meisten von ihnen liegen allerdings auf dem Rand. Die „Z“-Struktur ist jetzt deutlich als Grundform im Innern erkennbar.
Bei sehr geduldiger Beobachtung werden neben der „Z“-artigen Struktur Ausläufer in Form von Schwingen bzw. Zangen sichtbar. 

Ich fertige eine Zeichnung ohne Filter an. Anschließend eine mit Filter. Temperaturen sind bei -2 °C. SQM-L 21.5. Gute Bedingungen, wenngleich sehr, sehr feucht. Das komplette Auto ist mit einem dicken Eispanzer überzogen. 

Immer wieder muss ich mit den Taschenwärmern, den Fangspiegel und mal das Okular vom Tau befreien. Funktioniert sehr gut, denn die Dinger sind richtig gut warm. Das ganze hält dann für circa 30 Minuten. Aber um zwei Uhr ist schließlich Schluss. Nichts geht mehr. Ich versuche noch mal kurz einen Blick auf Mars zu werfen, aber auch das misslingt. Einfach alles ist zugetraut, sogar die Okulare, die im Auto liegen. Krass! Nun gut, ich lasse auch schon mal den Motor an, damit der dicke Eispanzer auf der Frontscheibe abtauen kann. Dann bin ich schließlich richtig glücklich, denn diese Nacht war gar nicht mal so schlecht. Ursprünglich wäre ich vermutlich nicht gefahren und diese Nacht ausgelassen. Das wäre ein großer Fehler gewesen! 

[[<< Zurück zur Beobachtungsübersicht|Weihnachten im Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|18. Dezember 2022 - Pinar de Araceli]]

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Wind ohne Ende. Habe mich in den Weinbergen hinter einem Wochenendhäuschen verkrochen. Letztes Wochenende war hier einiges los. Aber heute ist Mittwoch. Seeing ist trotz des Windes gut. Komisch. Heute will ich durchziehen. Leider soll es noch mindestens drei Tage mit dem Wind so weiter gehen. Mist. Bin trotzdem zufrieden. Werde mit dem Wind schon irgendwie klar kommen.

Dann geht es pünktlich zur astronomischen Dämmerung los. Dummerweise wird der Wind immer heftiger. So geht das nicht weiter. Einpacken. Aber wohin. Ok, runter. Finde Richtung Südwesten guten Platz. Versteckt, asphaltiert, leicht abschüssig. Und windstill! Mitternacht. Und noch nichts richtig beobachtet. Aber jetzt. Huch entfernt sind Wolken zu sehen. Nix da, der kräftige Wind wird sie schon vertreiben. Dann, das erste Objekt soll angefahren werden, Jockerheere 320. Huch, ein Spritzer hat mich getroffen. Wie in der zweiten Nacht. Neh oder? So ein Quatsch. Richtung Caldera sind auch Wolken zu sehen. Mhhmmm. Ok, der Himmel zieht zu. Schnell abbauen! Es fängt tatsächlich an zu regnen! Nieselregen. Mist. Ich habe alles versucht. Mehr geht nicht.

Um eins sitze ich im Haus bei einem Glas Rotwein. Gibt es doch gar nicht. Einziger Trost. Neuen Beobachtungsplatz gefunden. Später schaue ich noch mal raus. Klar. Ich fasse es nicht.

[[<<Zurück zur vorangegangenen Nacht|15. Januar 2018 - La Palma]] | [[Weiter zur nächsten Nacht >>|18. Januar 2018 - La Palma]]

Die Wettervorhersage für heute Nacht ist überwiegend gut. Am Anfang soll es kurz bewölkt sein. Dies ist heute umso mehr ernster zu nehmen, da die Wetter Online App um Mitternacht „gering bewölkt“ für zwei Stunden vorhersagt und das ist die App, die eigentlich sagt, dass es die ganze Zeit perfekt sei. Also sollte man heute Nacht auf der Hut sein. Die staatliche Wettervorhersage ist sogar für morgen weiterhin optimistisch, d.h. morgen kommt sehr wahrscheinlich eine weitere Nacht hinzu.

<<<.tc-big-quote

!Digitales Zeichnen ✍️ 

Das digitale Zeichnen funktioniert sehr gut. Allerdings muss man sehr aufgeräumt sein, denn vorgestern kam mir der kurzzeitig Pencil abhanden und nachts brach dann auch kurz Panik bei mir aus. Denn ich habe ja kein klassisches Zeichenzeug mehr dabei. Das bereits vor ein paar Monaten vorgestellt iPad Panzerset hat sich mittlerweile durchgesetzt. Hier kann auch der Stift drin verstaut werden und das auch sehr sicher. Mittlerweile setze ich den Trageriemen nicht mehr ein, denn das stört zu sehr. Dennoch sollte man ihn immer dabei haben, denn in kalten Nächten kann man so das iPad einfach umhängen und immer wieder unter der Jacke aufwärmen. Dies ist aber im Moment nicht notwendig, denn die Tiefsttemperaturen bewegen sich bei komfortablen +11 °C. Ein Mega Vorteil des gesamten Sets ist, dass man das iPad mit einem Farbfilter betreiben kann. Es ist dabei natürlich rot anzusetzen und in der Zeichen App kann die Helligkeit nochmals händig beliebig gedimmt werden. Somit kann man ohne Adaptierung sehr gut zeichnen. Ein wenig geht aber meiner Erfahrung nach durch das Betrachten des Displays trotzdem verloren. Vielleicht ist es aber auch nur Einbildung, denn Beobachtung lebt ja auch immer wieder vom „einsehen“. 

<<<

Beim Mittagessen treffe ich zufällig einen Astrofotografen aus Murcia. Wir reden lange und verabreden uns schließlich für die Nacht. Ich zeige ihm meinen Beobachtungsplatz und verspreche ihm beim Setup des MSM-Startrackers zu helfen. Wir treffen schließlich vor Sonnenuntergang am Platz ein. Ich bemühe mich mein Wissen zum Thema Timelapses und Startracker weiterzugeben. Wir bauen Danos Kamera 📷 auf. Ich erkläre praktisch über Stunden alles zum Thema. Auch so Sachen wie was ein Dark Frame ist und viele Sachen mehr. Morgen möchte er zu einem magischen Ort hier in der Nähe und dort Nightscapes machen.

Plötzlich kommt ein Hund auf uns zugerannt. Er macht einen freundlichen Eindruck, ist aber irgendwie aufgewühlt. Wir erklimmen den Hügel in der Nähe, um zu schauen, wo er herkommt. Wir treffen schließlich auf ein Auto, das dort offensichtlich zurück gelassen worden ist. Sonst sehen wir aber niemanden. Es ist in jedem Fall der Hund, den ich schon seit zwei Nächten hier nachts habe bellen hören. Er ist auch vermutlich für diverse Geräusche nachts in der Nähe verantwortlich, die ich ursprünglich irgendwelchen wilden Tieren zugeordnet hatte. Offenbar hat er sich jetzt die dritte Nacht getraut, „Kontakt zu mir/uns“ aufzunehmen. Ich bin nicht sicher, ob ich das möchte. Aber ich kann natürlich auch nichts dagegen tun. Der Hund bleibt die ganze Nacht in unserer Nähe und manchmal habe ich das Gefühl das er uns vor bösen Tieren und Trollen bewacht 🤣. Hin und wieder läuft der tatsächlich los und bellt irgendetwas an. In diesen Momenten wissen wir nicht, was das soll, vermuten aber, dass er irgendwelche Tiere in der Nähe wittert. Offenbar hatten wir beide gehörig Respekt, wenn nicht sogar Angst voreinander. Der Hund hat aber das Eis letztlich gebrochen, in dem er mich bzw. uns aufgesucht hat. Dano und ich beschließen in jedem Fall im Dorf bescheid zu sagen, was ich am nächsten Tag auch tue. Die Leute beruhigen mich und erklären, dass es sich um den Hund eines Schäfers handelt und alles ok sei.

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Immer wieder schön. Rechts der untergehende Rabe. In der Mitte das Sternbild Skorpion auf dem Weg nach Süden.

Die Wetterbedingungen sind diese Nacht schlecht. Immer wieder ziehen Wolken auf und durch. Zu unserem Unglück kommt hinzu, dass im Dorf Cerezo eine Art Fiesta stattfindet. Dabei wird auch ein Skybeamer eingesetzt und verschandelt diesen schönen Himmel, zum Glück nur im Westen. Es ist zum heulen. Diese Nacht habe ich praktisch abgehakt, wobei es laut Vorhersage teilweise bewölkt sein soll. Dafür ist sie eigentlich doch ganz Ok. Ich werfe einen Blick auf den Sturmvogel, mein kleines Projekt. Ist praktisch wie gestern auch gut zu erkennen, insbesondere mit Filter. Alles gut. 

Die viele Quatscherei macht mich total fertig. Um halb vier Uhr bin ich durch und wünsche mir nur noch ins Bett zu gehen. Die Timelapse Aufnahmen laufen die ganze Zeit. Dano ist sehr zufrieden. Die ganze Nacht über sehen wir im Süden und später im Westen Blitze am Horizont zucken. Und es scheint so, als kämen sie immer näher. Um 04:30 Uhr ist Schluss. Dano baut schnell sein Zelt auf und wird hier oben schlafen. Ich verabschiede mich und bin auf dem Weg ins Hotel wo mir fast ein Wildschwein ins Auto rennt. Die weitere Fahrt genieße ich und beobachte aus dem Auto die zuckenden Blitze des nahenden Gewitters. 

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Tags drauf treffen wir uns noch mal und essen zusammen. Die Wettervorhersage für diese Nacht ist trotz allem Optimismus dennoch schlecht. Und ich beschließe, auch im Hotel zu bleiben, während Dano aufbricht, um die Nacht an seinem besonderen Ort zu verbringen. Und das Glück 🍀 ist mit ihm: Ab Mitternacht klart es auf. Zwar ist der Himmel nicht besonders toll, aber für Astroaufnahmen reicht das alle Mal.

[[<< Zurück zur letzten Nacht|16. Juni 2023 - Pinar de Araceli]] | [[Weiter >>|18.-20. Juni 2023 - Bewölkte Tage & Nächte]]

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Leichter Wind aus Norden, die Nacht über zunehmend und am Morgen abflauend. Bedingungen wie die Tage zuvor klar mit 21.71 im Mittel mit dem SQM-L. Wir waren heute in der Kalahari, um den Sonnenuntergang mit einem Sundowner zu genießen. Dort sahen wir auch die erste Wolke hier. Interessanterweise zeigten sich auch hohe Zirren, die wie gekämmt aussahen (s.a. Foto w.u.). Wegen des Ausflugs wurde erst nach dem Abendessen beobachtet. Gegen 20:15 Uhr starte ich die schließlich.

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Heute will ich ein bisschen Gas geben. Ich darf nicht mehr so viel zeichnen, da dies meine Beobachtungszeit auffrisst. Heute möchte ich die gestern begonnene Zeichnung zum "Bleistiftnebel" beenden. Ich beginne die Nacht allerdings erst mal mit zwei Kugelsternhaufen. Das erste Objekt ist in der Große Magellanschen Wolke zu finden. 

''NGC 1786, 20:40 Uhr:'' Bereits vor einer Woche im Feldstecher beobachtet. Jetzt im 25 Zöller. Wenig spektakulärer Kugelsternhaufen, der bis ins Zentrum hinein aufgelöst werden kann. Form oval.

Fast eineinhalb Stunden sitze ich an der Fertigstellung der Zeichnung zum "Bleistiftnebel".

''NGC 3201, 22:50 Uhr:'' Schon im Feldstecher als kleines rundes schwarzes Nebelwölkchen zu erkennen. Im Teleskop bei hundertfach bereits bis ins Zentrum aufgelöst. Form rund bis oval. Viele Sterne sind in Ketten angeordnet. Wenig konzentriert.

''B 72, 23:05 Uhr:'' Bei 100 fach passt der berühmte Dunkelnebel komplett ins Gesichtfeld. Der Nebel hat die Form eines verlängerten bzw. lang gezogenen S. Nordwestlich auffälliger ovaler Dunkelnebel. Erinnert ein wenig an Barnard 142 und 143.

''M 20 - "Trifidnebel", 23:20 Uhr:'' M 20 präsentiert sich am besten bei hundertfacher Vergrößerung. Dann zeigt sich der Nebel mit ganz feinen Ausläufern. Ohne Worte.

<a href="https://www.flickr.com/photos/106029581@N02/17911567332" title="Gekämmte Zirren"><img src="https://c2.staticflickr.com/6/5458/17911567332_c6f541fb76_n.jpg" style="float:left;  margin-right:15px; margin-bottom:15px;"></a>

''NGC 4945, 23:45 Uhr:'' Zigarrenförmige helle, sehr große Galaxie. Nordöstlich vom Zentrum auffällige Dunkelwolke. Am südwestlichen Ende hellere, spitz zu laufende Kante erkennbar. An diese schließt sich ein schwacher Teil an, der aber indirekt relativ einfach verfolgt werden kann. Dieser schwache Galaxienausläufer macht etwa ein Drittel des sonst sichtbaren Galaxienkörpers aus. Insgesamt zeigt sich eine kaum merkbare Helligkeitszunahme zum Zentrum hin. Verschiedene Staubbänder zum Teil längs wie auch quer über den ganzen Galaxienkörper verteilt. Diese Galaxie kann es locker mit dem "Silver Dollar" aufnehmen. Südöstlich etwa eine Galaxienlänge entfernt, liegt der kleine Begleiter NGC 4945 A, der indirekt, schwach als ovaler kleiner Nebel zu erkennen ist. Nördlich liegt die kleine Hintergrundgalaxie PGC 35317, die ebenfalls schwach zu sehen ist. Ihre Form ist linsenförmig.

Beim nächsten Objekt habe ich mich leider vertan. Eigentlich sollte es B 228 sein. 

''B 288, 1:00 Uhr:'' Langer, gebogener, dünner Dunkelnebel. Im Dunkelgebiet befinden sich vier auffällige helle Sterne.

''NGC 6441, 1:10 Uhr:'' Heller Kugelsternhaufen mit deutlicher Helligkeitszunahme zum Zentrum hin. Bei hundertfach im 25 Zöller zeigt sich ein nicht auflösbarer runder Nebelball. Sieht wie ein heller Kugelsternhaufen im Fernglas aus. Bei fast 700 facher Vergrößerung ist er allenfalls angelöst bzw. griesig. Letzter Punkt ist schwierig zu beobachten, da Seeing nicht das Beste ist.

''Barnard 142 & 143, 01:20 Uhr:'' Für mich der schönste Dunkelnebel des Barnard Katalogs. Bei minimaler Vergrößerung von hundertfach passt der Dunkelnebel leider nicht mehr komplett ins Gesichtsfeld. Bei so großer AP gar nicht so einfach zu erkennen. Im Feldstecher zeigt sich der Dunkelnebel hingegen rabenschwarz.

Der Wind hat deutlich zugenommen. Er ist mittlerweile so stark, dass er den Dobson von alleine bewegt.

''NGC 6302 - "Bug Nebel", 1:50 Uhr:'' Kleiner, länglicher, an den Enden leicht gebogener Nebel mit sehr hellem Zentrum. Bei 280 fach sind faserige Strukturen zu erkennen. Vom Zentrum aus gehen zwei Nebelbögen nördlich und westlich ab, wohingegen in der Gegenrichtung ein dreieckiger nach außen sich verbreiternder Nebel  abzeichnet, der offenbar durch ein Dunkelband durchtrennt wird.
Bei Verwendung eines OIII-Filters wird der Nebel noch mal deutlich heller. Ich steigere die Vergrößerung nochmals auf über 600 fach und der Nebel ändert erneut sein Erscheinungsbild. Jetzt werden weitere abgehende Nebelfilamente und das charakteristische Bild des Käfers sichtbar. Der Nebel ist dabei immer noch erstaunlich hell.

''NGC 6334 - "Katzenpfoten Nebel"'', 2:25 Uhr: Sehr großer Nebel, dessen hellster Teil bei 100 fach um einen relativ hellen Stern etwa 9. Größe sichtbar wird. Mit UHC-Filter werden dann auch die anderen schwächeren Nebelteile leicht sichtbar. Insgesamt zeigen sich mindestens fünf Nebel, die überwiegend mit Einzelsternen bzw. Sterngruppen besetzt sind. Mit etwas Fantasie zeigt sich tatsächlich eine Katzenpfote.

''Sanduleak 2-263, 3:10 Uhr:'' Sehr kleiner Planetarischer Nebel um einen Stern. Bei über 600 facher Vergrößerung und OIII-Filter wird der Stern dann noch mal deutlich heller gegenüber seinen Nachbarn. Vom umgebenen Nebel leider keine Spur. Das Seeing ist hierfür einfach zu schlecht.

''Abell 4881 = IC 4764, IC 4765, IC 4766, IC 4767, IC 4769, IC 4770, IC 4771...,  3:40 Uhr:'' Sehr schöner Galaxienhaufen. Bei hundertfach sind über ein Dutzend Galaxien in einem Feld sichtbar. Davon sind etwa vier Galaxien deutlich heller als der Rest. IC 4765 ist der Hellste des Haufens und scheint auch im Zentrum zu stehen. Wunderbarer Anblick!

''NGC 300, 4:25 Uhr:'' Diffuse, große Galaxie mit kaum merklicher Helligkeitszunahme zum Zentrum hin. Spiralform schwach erkennbar. Am östlichen Ende auffälliger heller Knoten.

''NGC 55, 4:40 Uhr:'' Vom gleichen Kaliber wie NGC 4549. Langgestreckte Galaxie in Kantenlage. Westlicher Teil deutlich heller. Im westlichen Teil zeigen sich i.w. drei bis vier helle Knoten mit zum Teil sternartigen Zentren. Hellster Teil ist das westliche Ende der Galaxie. Abseits der Mitte bereits im helleren westlichen Teil der Galaxie gelegen befindet sich ein weiterer hellerer Knoten mit hellem Zentrum. Fantastischer Anblick!

Das war's für diese Nacht! Die Dämmerung setzt um 5:00 Uhr bereits wieder ein.

[[Weiter zur nächsten Nacht>>|18. Mai 2015 Tivoli]]

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Wir warten alle, dass die Corona Situation sich normalisiert und unser aller Leben weitergeht. Mittlerweile sind wir schon im Mai. Am Freitag gab es eine hervorragende Nacht, die ich aber leider nicht nutzen konnte. Ich war einfach nach der Arbeit zu kaputt, um die lange Anreise und die kurze Nacht durchzustehen. Aber zum Glück gibt es klare Nächte in diesem Frühjahr ausreichend. Heute ist also Sonntag. Mit dabei ist mein Sohn, der normalerweise an so einem Wochentag natürlich nicht nachts umherstreifen kann. Aber der Unterrichtsbeginn am nächsten Tag ist erst gegen Mittag.

!Die Mainächte sind bereits sehr kurz

Die Mainächte sind kurz und die dunkle Nacht schrumpft auf circa zwei Stunden. Das ist natürlich wenig. Da muss ich jedes Mal überlegen, ob die zweistündige Anfahrt das überhaupt wert ist. Nach zwei Stunden beobachten geht es wiederum 2 Stunden zurück. Also vier Stunden Fahrt für zwei Stunden beobachten. Ein schlechtes Verhältnis.

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Deshalb rücke ich heute auch nicht in voller Bewaffnung an. Ich habe lediglich einen Feldstecher und meinen kleinen drei Zoll Refraktor dabei. Er liefert zusammen mit dem 40 mm Okular ähnliche Beobachtungseindrücke wie ein Feldstecher, wobei allerdings die Grenzgröße noch mal deutlich höher ist. Ich habe ihn vor allem auch dabei, damit ich zitterfrei beobachten kann. Darüber hinaus ist mir das Gerät zusammen mit einem Zenitspiegel hoch stehende Objekte bequem zu beobachten.

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!Sonnenuntergang auf der Wasserkuppe

Doch zunächst steht der Sonnenuntergang auf der Wasserkuppe an. Irgendwie magisch! Wir futtern unsere Brote. Die Paraglider sind wieder aktiv. Der Erdschatten geht kontrastreich auf und schneidet ein paar Zirren. Wir gehen zurück zum Auto und fahren zum Beobachtungsplatz, der ca. 15 km entfernt liegt.
Dort angekommen warten wir auf Mathias. Aber leider vergeblich, denn er hat abgesagt! Per Mail teilt er uns mit, dass Zirren unterwegs seien und er daher pausiert. Ok. Vermutlich hat er recht, was sich später dann auch bestätigt.

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!!Feldstecher ist angesagt

Wir legen den Schwerpunkt auf die Feldstecherbeobachtung. Ich habe wieder meinen 10x50 Feldstecher dabei, nutze ihn am Ende aber nicht. Wir nutzen gemeinsam einen 10x42, der leichter und kompakter ist. Er hilft die Milchstraße, die mittlerweile schön hoch steht, zu durchstreifen. Wir beobachten auch mit dem drei Zoll Refraktor. Parallel mache ich ein paar Astroaufnahmen. 

Wir laufen zunächst zum einsamen Baum, der südlich unseres Beobachtungsplatzes steht. Eigentlich um zu prüfen, ob er eine geeignete Fotolocation mit ansprechendem Vordergrund bietet. Wir werden mit einem atemberaubenden Blick auf eine Stadt überrascht, die wohl auch für den Lichtbuckel am Horizont im Süden verantwortlich ist. 

Der Himmel zeigt sich zunächst sehr transparent. Dann aber im Norden seifig. Her zieht also was durch. Bei meinem SQM-L habe ich die Batterie gewechselt. Im Zenit werden kurz vor der astronomischen Dämmerung zunächst 21.7, dann 21.8 und wieder 21.9 erreicht. Komisch. Die Werte sind wieder zu gut. Eine leere Batterie ist offenbar doch nicht die Ursache. 

<<<.tc-big-quote

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Aufgang der Sommermilchstraße über der Langen Rhön. Blick nach Osten. Zeitpunkt circa gegen Mitternacht. Nachgeführte Aufnahme unter Verwendung eines Clip-STC Multispectra Filters, der vorhandene Lichtverschmutzung unterdrückt.

<<<

Wir beobachten den großen Wagen. M51 bei 12 fach mit drei Zoll Öffnung.  Sehr schön. Dann Leo-Triplet. Zu schwer für den Sohnemann, da die AP mit 6mm auch etwas zu groß ist. Ich kann mit etwas Mühe alle drei Galaxien erkennen. Zwei sind recht deutlich. Weiter geht es zu M13. Wunderschön! Sehr helle Kugel, diffus und leicht granuliert bei 12 fach. Eigentlich hatte ich nicht vor andere Okulare zu verwenden, krame dann aber ein 5.5 mm Exemplar raus. M13 kann ich fast bis ins Zentrum auflösen! Wahnsinn! Weiter geht es zu M57. Mein Gott! Der Rauchring ist deutlich zu erkennen. Auch nicht zu dunkel. Bin etwas überrascht.

!!Parallel ein bisschen Astrofotografie 

Ich schlage mir neben der visuellen Beobachtung die Nacht mit Astrofotos um die Ohren. Mein Sohn kann sich kaum auf den Beinen halten. Er geht ins Bett. Ich mache weiter. Der Süden bleibt von den Zirren weitestgehend verschont. Faszinierend wie der Skorpion Richtung Süden wandert. M4 Kann ich im 5.5mm gut ausmachen. Zentraler Balken. Nicht ganz aufgelöst, aber trotzdem deutlich. 

!!Der Flugverkehr kommt zurück 

Fast auf jedem Foto sind Flugzeuge drauf. Der Verkehr nimmt wieder deutlich zu. Dazu gesellen sich immer wieder vereinzelt helle Satelliten 🛰.

Ich krame das SQM-L wieder hervor. Von 21.4 - 21.78 wird so ziemlich alles angezeigt. Funktioniert also doch noch das SQM-L. Der Grund ist schnell ausgemacht. Zirren! Der Himmel ist vor allem am Horizont und dort im Norden seifig.

!Die südliche Milchstraße beobachten

Zurück zur 12 fachen Vergrößerung. M24 ist sehr eindrucksvoll. Die Schildwolke ebenfalls mit M11 als prominentem Einzelobjekt. Helles Wölkchen mit ebenfalls hellem Einzelstern in seiner Mitte. Mittlerweile ist auch das Sternbild „Delphin“ zu erkennen. Weiter geht es mit M16 und M17, die ohne Filter recht hell sind. Halb drei. Das war es mal wieder. Wahrscheinlich die letzte Nacht in diesem Frühjahr. Aber mal sehen. 

[[<< Zurück zur vorangegangenen Nacht|25. April 2020 - Lange Rhön]] | [[Zurück zum Artikel >>|Frühjahr 2020]]

!Roque de los Muchachos 

An der Podona weht ein starker Wind. Da er aus Norden weht, hat sich die klassische Wolkenbank auch von Garafia hierher verschoben. Die Wetterstation des ING zeigt keinen stürmischen Wind an, den aber 7.timer vorhersagt. Also fahre ich hoch. Auf dem Weg bemerke ich, dass der Tee fehlt. Wie sehr er mir noch fehlen wird!

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Irgendwas stimmt hier nicht mit den Wolken.

Oben weht bis unterhalb der Residencia ein lebhafter Wind aus NNE. Die Wetterstation hat bereits im Vorfeld angezeigt, dass in den Gipfellagen aber ein Wind aus WNW weht. Daher gibt es tatsächlich bei der Fahrt zum JKT Stellen an denen es großflächig windstill ist. Bevor ich jedoch hochfuhr, checkte ich nochmal den gestrigen Beobachtungsplatz. Hier stand ein recht alter Wagen und eine Person saß darin und studierte wohl einen Reiseführer. Ich hielt und prüfte den Wind. Kein Wind. Dann ging es los zum JKT. Oben angekommen wehte es mich fast weg. Tatsächlich Wind aus NNW und was für einer. Nach ein paar Fotos wieder runter.

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Aussicht vom Grat am JKT.

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Unterhalb befindet sich das INT.

Ich sprach schließlich den Fahrer des Wagen an. Er war super nett und räumte den Platz. Er wolle tatsächlich hier oben schlafen, um den Sonnenaufgang morgen früh zu sehen. Ich baute auf, als er weg war. 

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Die Sonne geht unter.

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Beim Aufbau.

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Und fertig.

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Und immer die Teleskope im Blick.

Zunächst wenig Wind. Dann stärker werdend. Schätze Böen bis 50 km/h. Am Anfang nur Böen. Kurze Zeit auch mal windstill. Später kaum noch. Temperatur am Ende nur noch 2.5 Grad Celsius. 

Erstes Objekt ist Abell 3. Während der Dämmerung aufgesucht. Wegen des heftigen Windes muss ich die Streulichtblende entfernen und fortan ohne beobachten. Damit schränkt sich die Objektwahl ziemlich ein, da bei zenitnahen Objekten helle Gradienten der dann im Hintergrund stehenden Passatwolken bzw. des horizontnahen Airglow die Beobachtung sehr stören. Solange der Okularauszug auf den Boden zeigt, ist das Bild jedoch sehr gut. Der Boden ist ja auch schön dunkel. Besser wäre noch der schwarze Asphalt als Hintergrund.

''Abell 3, Planetary Nebula in Cassiopeia, 17.03.2015 20:50'', Bei 114 fach und OIII zeigt indirekt sicher NW eines Doppelsterns ein zartes Glimmen. Kein ZS. Typischer Abell. 

{{Abell 3}}

Beobachtung dauert länger, da offenbar Zirren durchziehen, da die Sterne im Gesichtsfeld langsam verschwinden. Nach einer Weile ist aber alles wieder frei und der Nebel zeigt sich schließlich.

Hatte ich letztes Jahr im Sommer beobachtet. Da habe ich aber geschludert, denn ich habe den Doppelstern im Nebel selbst verortet. 

''M42, 17.03.2015 21:50'', Wunderbarer Anblick. Sehr hell. Bei 40 fach und max. AP zeigt sich ein grünliches helles Zentrum und blasse rostbraune Schwingen. Bei 56 fach hingegen scheint das Zentrum eisblau und die Schwingen blass rotbraun bis magenta. Interessant.

''NGC 1555 - Hind's Veränderlicher Nebel, 17.03.2015 23:00'', Keine gute Ausgangsposition. Das Himmelsareal liegt im Zodiakallichtkegel und so ist der Himmelshintergrund aufgehellt. Dennoch zeigt sich ein kleiner ovaler Nebel neben einem recht hellen Stern bei 290 fach. Besser allerdings bei 168 fach zu sehen.

{{NGC 1555 - Hind's Veränderlicher Nebel}}

''Kohoutek 1-1 bzw. Abell 27, Planetary Nebula in Pyxis, 18.03.2015 01:00'', Kleiner runder Nebel. Sternpaar weist den Weg. Bei 168 fach und OIII-Filter wird dann blickweise immer wieder der Nebel sichtbar. Kann indirekt nicht gehalten werden. Mittlerweile steht das Objekt auch sehr tief und die heftigen Windböen mit den kurzen Pausen lassen nur immer kurze Momente der Beobachtung zu. Schwer!

{{Abell 27}}

Mittlerweile sind nur noch Beobachtungen Richtung SWS möglich, da sonst der Wind zu stark am Teleskop reißt. Wegen der fehlenden Streulichtblende auch in der Höhe Einschränkungen. Höhere Vergrößerungen sind auch nicht mehr sinnvoll. Wie schön wäre jetzt heißer Tee!

''UGC 5341, Spiral Galaxy in Leo, 18.03.2015 01:40'', Gx in Kantenlage. Indirekt schwierig, kann aber gerade so gehalten werden. UGC 5339 in der Nähe deutlich einfacher. 

''UGC 5339, Spiral Galaxy in Leo, 18.03.2015 01:40'', Galaxienpaar! Bei 114 fach und werden zwei ovale etwa gleichhelle deutlich separierte Galaxien sichtbar mit deutlicher Helligkeitszunahme zum Zentrum hin. Dabei hat eine von beiden ein recht helles stellares Zentrum. Schönes Paar.

''Leo Triplet'', Nur bei 56 fach eingestellt. Alle Galaxien sind sehr hell. ''M105'' ebenso. Hat zwei schöne Begleiter.

''Omega Centauri, 18.03.2015 03:35'', Mit bloßem Auge als verwaschener Punkt sichtbar. Steht nur knapp über dem Roque, westlich vom NOT. Bei 56 fach eine Augenweide, vor allem weil das Seeing 100% passt. Ein schöner Vorgeschmack auf Namibia. 

''Centaurus A, 18.03.2015 03:45'', Unweit von Omega Centauri. Groß und rund und in der Mitte durch Dunkelband zweigeteilt. Der Wind macht praktisch jede ernsthafte Beobachtung zunichte. 

Zuvor M 51 versucht. Aber ohne Streulichtblende ein verzweifeltes Unterfangen, da das Bild hell und durch einen Gradienten verunstaltet, der offenbar durch die im Norden vorüber ziehenden Passatwolken und dem horizontnahen Airglow verursacht wird. Die "Mices" sind damit auch  heute gestorben.

''NGC 4361, 18.03.2015 04:05'', Verlegenheitsobjekt. Ovaler, heller Nebel mit spitz zu laufenden Enden um relativ hellen ZS. Relativ scharf abgegrenzt. Der Wind hat zwar abgenommen, dafür macht er aber keine Pausen mehr. Zwar auf 430 fach vergrössert, aber wegen der Wackellei nicht viel gesehen. Die Längsachse ist fast N-S orientiert. Seeing bricht jetzt auch noch ein.

Das war das letzte Objekt. Der Wind hat mich zermürbt. Gegen 04:30 Uhr packe ich ein. Als alles verstaut ist, ist es sogar für längere Zeit windstill! Entfernt in tieferen Lagen, vielleicht 100m entfernt, rauscht der Wind durch die Ginsterbüsche. Aber zu spät. Auf der Abfahrt dann Sprühregen, der Richtung Hoya Grande immer stärker wird. Am Haus teils bedeckter im Himmel und starker Wind. Am nächsten Morgen ist es bedeckt und recht kalt. Der Wind hat ein wenig  nachgelassen.

[[Zurück zum Artikel>>|La Palma im März]] 

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Vorgestern gab es eine sehr gute Nacht in Stumpi und eigentlich hatte ich schon alles wieder in den Keller verfrachtet. Hintergrund war die Wettervorhersage, die ab heute Mitternacht dann doch Wolken vorhergesagt hatte. Aber im letzten Moment hat sie ihre Meinung geändert und es soll doch länger klar bleiben und das sogar bis vielleicht drei oder vier Uhr. Da die Vorhersage diesmal besser für die Rhön ist als für den Vogelsberg, bin ich heute wieder in der Langen Rhön. Die Bedingungen sind fast genauso gut wie vor zwei Tagen, so dass ich gespannt bin, ob man möglicherweise auch Unterschiede zur Qualität der Plätze hin erkennen kann. Ich komme in Frankfurt leider spät los, und treffe daher erst zur Dämmerung ein. Aber das hat auch einen Vorteil, denn so kann ich ab Fulda bei der Fahrt Richtung Wasserkuppe die Lichtverschmutzung der umliegenden Dörfer checken: beleuchtete Fußballfelder und Supermärkte….zum Teil sehr erschreckend, muss ich sagen, daher wundert es mich nicht, dass der Himmel hier mancherorts erst ab Mitternacht richtig gut wird. Sternenpark hin oder her.

Die Bedingungen sind gut, d.h. klar, recht kalt mit circa +3 °C und fast windstill. Hin und wieder weht eine leichte Brise aus Südost, wie vorhergesagt. Der Wind soll über die Nacht deutlich zunehmen, aber Moment ist alles ruhig.

Himmel ist gut: SQM-L 21.4. Besser als in Sumpi. 21.12 mit dem dem Gerät ohne Linse, wie in Stumpi. Mmhmmm…

Erstes Objekt ist M 15. Ist mal wieder so eine Nachschau. Tatsächlich finde ich es sehr schwer Kugelsternhaufen zu zeichnen und deswegen muss ich sie mir auch häufiger anschauen. 😳

![[Berkeley 83]]

Schon bei Übersichtsvergrößerung zu erahnen. An der richtigen Stelle wird ein ovaler Glow neben einer Sterngruppe sichtbar. Kann selbst bei Steigerung der Vergrößerung auf 231x nicht aufgelöst werden. Bei geduldiger Beobachtung wirkt der Offene Sternhaufen asymmetrisch mit unscheinbarer Helligkeitszunahme zum Zentrum hin, das auf einem helleren Stern „aufsitzt“. Sieht tatsächlich wie ein Abel PN aus.

!Nachschau…oder was?

Dann gibt es eine kleine Pause und ich stelle zum Abschied des Sommerhimmels noch mal M 27 und auch M 71 ein. Und ich tue es wieder: NGC 6826 wird noch mal beobachtet und ich stelle fest, dass das Seeing wirklich gut ist. Die Luftfeuchtigkeit ist mittlerweile auf 91 % gestiegen. Alles ist hier wieder angelaufen aber ich hoffe, dass ich hier nicht absaufe.

![[V 375 Lac = Sh 2-126]]

Bei Übersichtsvergrößerung ist um einen recht schwachen Stern schon ein nebeliger Halo ganz subtil sichtbar. Bei Steigerung der Vergrößerung auf 238x ist dann ein diffuser Nebel erkennbar, der eine Fahne nach Süden bildet. Aber erst wenn man weiter vergrößert, in meinem Fall auf 562x, wird schließlich mit geduldiger Beobachtung aus der Fahne eine „Zange“. Den Stern umgibt weiterhin ein runder, diffuser Halo. Auf der gegenüberliegenden Seite also zur „Zange“ hin abgewandt, zeigt sich eine kleine „Nebelkerze“.

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Bereits Mitternacht. Am Horizont tauchen Wolken auf. Mist, wie vorhergesagt! Sie ziehen jedoch erst mal durch und hinter ihnen sieht der Himmel eigentlich gut aus. Ziehen im übrigen sehr schnell. Das Seeing ist mittlerweile nicht mehr so gut. Weiterhin weht ein sehr schwacher Wind aus Südost.

!Jupiter

Das Seeing ist heute wirklich gut. Schätze es sogar besser ein als vorgestern Nacht. Dennoch zeigt sich bei sehr hoher Vergrößerung noch ein leichtes hochfrequentes Schwingen. Insgesamt zeigt sich auf Jupiter wie vor zwei Tagen nichts besonderes. Jedoch habe ich in der Sky Safari App nachgeschaut und der GRF wird demnächst um die Ecke „luken“. Der Himmel ist mittlerweile total von Zirren überzogen, aber das SQM-L zeigt immer noch 21.3 in Zenitnähe an.

!IC 349

Wieder ein Versuch, das Ding zu erwischen. Aber irgendwie wird das nichts. Ein zweimal blitzt das was auf, aber das kann man eigentlich nicht als sichere Beobachtung ansehen. Ich habe auch wieder das Ortho benutzt, aber im Kern muss man einfach sagen, dass sich nichts konkretes zeigt. Wahrscheinlich ist die Beobachtung von vorgestern nicht real gewesen. Irgendwie verhext dieses Objekt!

Was aber weiterhin gut geht ist Jupiter. Ich setze ein Bino ein, dass mir etwa 250x Vergrößerung verschafft. Der Anblick ist einfach nur als toll zu beschreiben. Durch die Zirren ist Jupiter zusätzlich leicht gedimmt und die hellen Wolkenbänder in Äquatornähe sind ebenfalls leicht gedimmt und zeigen ganz feine Strukturen. Was mich aber am meisten beeindruckt sind die Farben: in den hellen Wolkenbändern dominieren grau und blau, vermischt mit einem dunkelbraun. Die dunkleren Wolkenbänder sind hellbraun mit einem leichten „Orange-Einschlag“. Dann die Bänder Richtung Pole, die ins gelbe übergehen, aber die Krönung ist der GRF, der am Planetenrand als „Eigelb“ auftaucht. Die Monde sind kleine Scheiben, zeigen aber keine Strukturen. Dafür müsste das Seeing wahrscheinlich noch besser sein.

Die Luftfeuchtigkeit, nimmt weiter zu und liegt jetzt bei 95 %. Im Gegenzug sind es auf der Wasserkuppe nur 85 %. Die fehlenden 150 m sorgen dafür, dass man tatsächlich noch innerhalb Inversionschicht befindet, was vermutlich auch erklärt, dass es so gut wie keinen Wind gibt. Der Fangspiegel ist weiterhin frei aber der Himmel ist außer für Jupiter kaum zu gebrauchen. Die Wolken haben nämlich an Dichte zugelegt. 

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Daher beschließe ich 2:45 Uhr einfach abzubauen. Ich durchquere die Lange Rhön auf dem Weg zur Wasserkuppe, wo ich heute schlafen werde. Leider habe ich nicht bedacht, dass die Straße Richtung Wüstensachsen gesperrt ist, und so muss ich wenden und den ganzen Weg noch mal zurück zum alten Platz, der am schwarzen Moor liegt. Als ich auf der Wasserkuppe ankomme, ist es dort windig, aber ich merke direkt das ist deutlich trockener ist.

[[<< Zurück zur letzten Nacht|15. Oktober 2023 - Stumpertenrod]]

Drei Nächte ging nix. Und damit meine ich gar nichts. Mittlerweile sind weitere Leute für eine Woche auf der Farm angekommen. Astrofotografen. Ich bin also nicht mehr allein. Ich habe die letzten Tage mit Wandern und Schwimmaktionen im Meer verbracht. Dazu muss man wissen, dass die Strände im Norden wohl nur den Sommer über bestehen. Dafür sind sie absolut ursprünglich und um dorthin zu gelangen, muss man steile Abstiege und anschließend Aufstiege bewältigen. Trotzdem sind sie traumhaft gelegen und wirkliche Geheimtips. 

<<<.tc-big-quote

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In den Naturschwimmbädern im Norden der Insel kann man schön schwimmen, selbst wenn es einem im Meer zu ungemütlich ist.

<<<

Die Naturschwimmbecken sind vom Meer häufig abgetrennte Becken, in denen das Wasser absolut ruhig steht. Natürlich kann man sich auch ins Meer stürzen, aber man sollte stets bedenken, dass unerwartete Strömungen auftreten können. Darüber hinaus kann insbesondere der Wellengang im Norden der Insel mitunter Schwimmen echt gefährlich machen.

Die Naturschwimmenbecken hingegen sind absolut ungefährlich und bieten Schwimmern eine sichere Umgebung. Leider sind sie oft recht klein. Guten Schwimmern fällt im Gegensatz zum Becken auf, dass der Auftrieb des Salzwassers höher ist als der von Süßwasser. Im Meer kann man das nicht so direkt spüren, da je nach Schwimmrichtung und Wellengang 🌊  der Auftrieb von Wellen diesen Effekt überlagert. 🙃

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!Auf dem Roque...

Ein Tag war ich auf dem Roque. Mit dem Auto bis zum Wassertank hoch und geparkt. Dann zu Fuß über das Geröllfeld bis zum Wanderweg und schließlich hoch. Der Weg ist wunderschön. Muss sogar eine Baustelle passieren, doch dann ist der Weg zum Gipfel frei. Oben ist der Parkplatz voll. Weiter geht es auch nicht, da der komplette Pfad, der zu den Teleskopen rund um das WHT führt, gesperrt ist. Wegen weiterer  Bauarbeiten, wie mir die Männer, die daran arbeiten, versichern. Der Weg ist interessant, denn er ist die schnellste und schönste Möglichkeit das Teleskopareal zu erkunden. Das ist mit dem Auto nicht so gut, da man die Rundumsicht natürlich nicht hat und nur an den Stellen wo man hält und aussteigt, einen nur sehr punktuell und beschränkten Eindruck erhält. Nach so vielen Jahren der La Palma Besuche und Autofahrten hoch zum Roque eine geradezu bemerkenswerte Erkenntnis. 😁

Mehrere Tiefdruckgebiete nehmen Einfluss auf das Wetter hier. Zwar sind sie weit entfernt, nämlich eines im Norden, das vor der Küste Portugals und das andere, welches in der Nähe der Kapverdischen Inseln, liegt. Als Folge ergibt sich eine Südwestströmung, die immer wieder hohe Wolken aus dem südlichen Tief ablöst und in Richtung kanarische Inseln schickt. Und diese Strömung hat mittlerweile die Insel fast eine Woche im Griff. Und ich glaube, sie wird sich erst auflösen wenn diese Tiefdruckbrücke vom Äquator bis zur iberischen Halbinsel aufgehoben wird. Das kann praktisch nur geschehen in dem eines der beiden Tiefs verschwindet. Das dies die nächsten Tage passieren wird, ist klar. Die Frage ist wie lange das noch dauert.

Heute soll es endlich auch mal wieder aufklaren. Die Vorhersage für die nächsten Nächte ist schlecht. Also nutzen was geht. Ich bin nach K 1-14 wieder im Gebiet des Herkules unterwegs. In der Dämmerung schaue ich mir die Milchstraßenobjekte an, die ich bisher überhaupt noch nicht beobachtet hatte. Dabei fange ich mit M8 an. Alles wunderbar anzuschauen.

Das Seeing ist heute schlecht und ich beginne direkt mit einem schwierigen Objekt, was auch hoch vergrößert werden muss.

!!Vyssotsky 1-2

Es geht um einen kleinen planetarischen Nebel. [[Vyssotsky 1-2]], der von dem gleichnamigen Entdecker 1942 aufgespürt worden ist: Bei ca. 418 fach wird ein Stern sichtbar, der mit OIII sogar etwas heller wird. die richtige Position ist also gefunden. Aber außer einem wabernden Sternchen ist nichts zu erkennen. Dafür ist das Seeing einfach zu schlecht.

Ich fahre in der Folge einfach weitere Standardobjekte an. Nichts besonderes und aufgrund der schlechten Transparenz durch Zirren, müssen sie auch recht hell sein, damit man auch was erkennen kann. Ich zeige den anderen Gästen ein paar Highlights. Ich selbst bleibe auch beim Pacman-Nebel oder NGC 281 hängen.

<<<.tc-big-quote

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Die dichte Bewölkung geht schließlich in Zirren über, die sich im Laufe der Nacht tatsächlich auflösen. Später werden Werte um 21.5 im Zenit erreicht, was für La Palma nicht besonders gut ist. Trotzdem ist es klar und der Gegenschein links auf dem Foto gut erkennbar. Die Lichtbrücke auch. Mars dominiert den Nachthimmel. Leider war das Seeing heute zu schlecht, um die Planeten Jupiter, Saturn und Mars zu beobachten.

<<<

!!NGC 281

[[NGC 281]]: Es zeigt sich ein komplexer und großer Nebel. Reagiert sehr gut auf OIII und UHC. Ich verwende am Ende den UHC, da dieser die schwachen Ausläufer deutlicher zeigt. Insgesamt zerfällt der Nebel in mehrere helle Bereiche mit zum Teil Abschnürungen und auch Dunkelgebieten. Trotz der 82 fachen Vergrößerung ist der Nebel bei Übersichtsvergrößerung vollständig überblickbar.

Am Ende konzentriere ich mich allein auf dieses Objekt und zeichne daran bestimmt drei Stunden. Immer wieder ergeben sich neue Aspekte, die natürlich auch in der Zeichnung berücksichtigt werden müssen. Insgesamt ein sehr lohnendes und sehr schönes Objekt.

[[<< Zurück zur vorangegangenen Nacht|13. September 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|18. September 2020 - La Palma]] 

Windstill und wolkenlos. Gute Bedingungen. 

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Erstes Objekt ist ''Sanduleak 2-263''. Eher was für den südlichen Sternenhimmel. Das Seeing ist aber ausgezeichnet und das selbst knapp über dem Horizont. Der PN liegt direkt in M7, so dass zunächst M7 eingestellt wird. Schon bei 56 fach und 1.5 Grad Gesichtsfeld kommt der bekannte Haufen gut. Auch die Transparenz ist hier heute gut. Mir fällt zunächst ein kleiner Kugelsternhaufen östlich von M7 auf: NGC 6453.

22:45Uhr - ''NGC 6453'': Sehr kleiner runder KS ohne merkliche Helligkeitszunahme zum Zentrum hin. Ist schon beim Anblick bei 56 fach von M7 auffällig als sehr kleines, kompaktes Nebelwölkchen im Außenbereich sichtbar. Ab 114 fach ist der Haufen angelöst und wirkt granuliert. Bei 430x werden zwei schwache Sterne südwestlich und südöstlich sichtbar und der Haufen scheint tatsächlich aufgelöst, wobei der Hintergrund noch grießig wirkt.

Anschließend ''Sanduleak 2-263'': Richtige Stelle ist nach einigem Hin und Her dann doch gefunden. Bei 114 fach ist ohne Filter nichts zu sehen. Mittlerweile weht auch ein kräftiger Wind, der eine Beobachtung bei hoher Vergrößerung unmöglich macht. Denn die wird bei einer Größe von 2" tatsächlich auch benötigt. Trotzdem habe ich den OIII bei 300 fach bemüht, aber das Bild war bei dem Wind nicht ruhig zu stellen.
So musste ich schließlich abbrechen und döste bei 56x durch die sehr eindrückliche Sommermilchstrasse. 

''NGC 8590'': Heller runder Nebel um einen Stern. Hellerer Knoten abseits des Sterns in östlicher Richtung. Im Nebelgebiet ist südwestlich weiterer Stern gut zu erkennen.

''NGC 8589'': Direkt neben NGC ''8590''. Heller Nebel um zwei Sterne. Unregelmässige Form. Am Besten bei 168 fach.

Beide wurden bei 56 facher Vergrößerung mit und ohne UHC-Filter beobachtet. Der Filter hat eigentlich nicht viel gebracht.

Mittlerweile ist es ein Uhr am Morgen und der Mond sollte nur wenig später auftauchen. Ich werfe  nochmal ein Blick auf den Ringnebel bei 430 fach. Der Zentralstern scheint beim nachlassenden Wind immer mal wieder aufzublitzen. Dann noch M13. Das Seeing ist tatsächlich immer noch gut. Am Westhorizont tauchten die vorhergesagten Wolken auf und verteilten sich rasch über dem Himmel. Als der Mond über der Bergkette hervorlugte, legte sich der Wind für eine Weile und es schien, als habe er nur auf ihn gewartet.

Wettervorhersage ist sehr gut. Es ist Neumond. Gegen 17.00 Uhr geht's los und ich hoffe noch vor Sonnenuntergang in der Rhön einzutreffen. Dabei ist das [[neue Teleskop|Sumerian Alkaid 14 Zoll]] mit (altem) Hauptspiegel. Damit kann heute im Rahmen der Beobachtung nicht vom "Firstlight" sprechen. Auch deshalb nicht, da ich zuvor schon mal aus dem Wohnzimmerfenster einen prüfenden Blick gewagt hatte, um den Fokus ect. zu checken.

<a href="https://www.flickr.com/photos/106029581@N02/17201136571" title="DSC01506 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8808/17201136571_03a9c2bf6e_z.jpg" alt="DSC01506"></a>

Das aufgebaute neue Teleskop. Es handelt sich um den Alkaid 14" Dobson von Sumerian.

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Der Erdschatten ist gut zu erkennen.

Windstill und kalt. Hier ist der Frühling noch nicht angelangt. Das Gras ist noch hellbraun und es zeigen sich keine neuen Triebe. 0° bis +1° Celsius. Wie im [[Februar|Tiefgekühlt durch die Nacht]]. Die Dämmerung dauert sehr lange. Um 20:25 Uhr geht die Sonne unter. Die astronomische Dämmerung setzte aber erst um 22:30 Uhr ein. Bleibt viel Zeit für die Jupiter Beobachtung. Seeing ist zeitweise spitzenmäßig. Genau wie Meteoblue.com vorhergesagt hat. Während der gesamten Nacht wird der Taupunkt nicht erreicht. Erstaunlich!

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Der Orion steht kurz vor dem Untergang über der Wasserkuppe. Rechts ist Venus zu erkennen, links Sirius.

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Das Zodiakallicht ist auch ganz schwach erkennbar.

Erstes Objekt soll Abell 19 sein. Dies ist wohl der letzte, der mit 14 Zoll möglich ist und noch in meiner Liste fehlt.

''Abell 19, Planetary Nebula in Monocerus, 22:35 Uhr'': mit OIII zeigt sich bei 114 fach ein kleiner runder Nebel um einen schwächeren Stern. Überraschend einfach. Keine Strukturen. Kann indirekt recht gut gehalten werden. Bei 168 fach nur schwer zu erkennen. 21.53 SQML-L im Zenit.

{{Abell 19}}

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Pause muss auch mal sein :)

''Komet Lovejoy - C/2014 Q2, 23:20 Uhr'': im Feldstecher sofort zu erkennen. Kleiner, runder Nebelball. Im Teleskop bis 65 fach und mit stellaren Kern und großer Koma. Schweif schwach, aber auf einer Länge bis fast 1° erkennbar.

{{Komet Lovejoy - C/2014 Q2}}

''HCG 55, 0:10 Uhr'', bei 114 fach erscheint die Galaxienkette als schwacher Strich kann indirekt gehalten werden. Wirkt irgendwie unruhig. Bei 290 fach zeigen sich blickweise sicher drei kleine Galaxien. Seeing ist perfekt! Besser sogar als auf La Palma vor einem Monat, da zeitlich noch konstanter. Die Sterne bewegen sich null und das bei 290 facher Vergrößerung. 21.65 SQM-L.

<a href="https://www.flickr.com/photos/106029581@N02/17037780240" title="HCG55 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7666/17037780240_0145f01697_z.jpg" alt="HCG55"></a>

Dann schlug ich mich mit der Galaxie UGC 10214 herum. Ich glaube hier handelt es sich um eine Superthin-Galaxie, aber da ich natürlich nichts notiert hatte, wusste ich nicht mehr worum es bei dieser Galaxie eigentlich ging. Beim Schreiben des Berichts habe ich dann nachgeschlagen: Die "Tadpole"-Galaxie. Na, Prost! So ist das, wenn nicht vorbereitet ist. Am Ende nicht gefunden. Beziehungsweise Suche abgebrochen.

''HCG 61, 2:45 Uhr:'' Alle vier Galaxien sind einfach zu sehen.

{{HCG 61}}

Das SQM-L zeigt bis ca. 45° über dem Horizont Werte um 21.5 an. Im Zenit 21.65. Dass das Gerät noch einwandfrei funktioniert zeigt es beim Durchmessen des doch hellen Horizontes: 21.0. Funktioniert doch. Im Zenit ist der Himmel ähnlich dunkel wie La Palma, wenn auch die Transparenz nicht so gut ist. Die Fotos nehme ich mit 4000 ASA auf und die sehen nicht viel schlechter aus, als die vor einem Monat. 

<a href="https://www.flickr.com/photos/106029581@N02/17200984471" title="DSC01596 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7587/17200984471_d750e3c4a5_z.jpg"></a>

''NGC 4676 - "Die Mäuse", 03:05 Uhr:'' zwei kleine dicht beieinander stehende ovaler
 Galaxien. Vom Gezeitenschweif weder bei 114 fach noch bei 168 fach etwas zu sehen.

{{NGC 4676 A & B - "Die Mäuse"}}

Es ist 3:45 Uhr. Ich mache noch schnell ein Panorama bevor die astronomische Dämmerung ab 4:00 Uhr einsetzt.

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Blick von Osten bis nach Süden. Im Osten setzt bereits die Dämmerung ein. Die Sommermilchstraße steht gegen 04:15 Uhr schon hoch.

Bis ich fertig bin und alles eingepackt habe, ist es schließlich nach 5:00 Uhr. Es sind noch anderthalb Stunden Rückfahrt zu bewältigen. Auf dem Weg in tiefere Lagen sinken die Temperaturen bis auf -3 °C ab. Perfekte Inversionswetterlage also. Die Transparenz lässt nach. Faszinierende Pastellfarben zeigen sich am Horizont. 

''Ein kurzes Fazit zum neuen Teleskop'': Stabilität ist deutlich besser als beim alten, könnte aber bei höheren Vergrößerungen noch besser sein.  Aufbau gestaltet sich völlig unproblematisch und geht sehr schnell. Gewichtsmäßig scheint der Dobson ein wenig leichter als der alte zu sein. Muss ich aber nochmal nachprüfen. Das Gerät hält alle Okulare in allen Positionen. Mit Ausnahme des 9mm 120° mit 1300g in Horizontnähe. Dabei lässt sich das Teleskop leicht bewegen, sowohl in Azimut als auch in der Höhe. 
Musste zwar am Hut ein kleines Gegengewicht anbringen, da mein Orion Spiegel nach einem Lieferantenwechsel bei Orion Optics UK jetzt 500g leichter ist, d.h. mein Spiegel etwas zu schwer für das aktuelle Alkaid Modell von Sumerian. Hinzukommt, das mein Quickfinder auch ca. 50-60g zu leicht ist, da er noch mit gewichtssparender Monozelle auskommt. Ist aber unproblematisch, da leicht ausgleichbar. Okularauszug ist erste Sahne, der Fokuspunkt auch. Die eingebaute Fangspiegelheizung brauchte ich heute nicht. Kurz: Umstieg hat sich wirklich gelohnt!

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Heute ein weiterer Versuch im Pinar. Fahre zunächst Orte an, die möglichst weit westlich liegen. Am Ende liegen diese alle aber direkt an der Straße, so dass ich doch beschließe zum alten Platz zu fahren. Ich versuche zuerst an der Viehtränke aufzubauen. Die Wolken, die sich mittlerweile über den Höhenlagen gebildet haben, sind noch ein gutes Stück entfernt. Dann taucht aber der Schäfer mit seinem Wagen auf. Und so beschließe ich schließlich doch wieder ganz zum alten Platz zurückzukehren, um nachts über ungestört zu sein und auch die Staubwolken vorbeifahrender Autos (Feuerwehrmann vom Dienst & der Schäfer) nicht abzubekommen. Zumindest bis 2:00 Uhr sollte es klar sein, danach sind Wolken angekündigt. Vor Ort am alten Platz ist es ungewöhnlich feucht meine Hände und sogar die Klamotten sind sofort klamm. Es weht auch ein recht böiger Ostwind. Baue trotzdem erst mal auf. Später dann tauchen Wolken auf.
Kurz nach Einbruch der Dämmerung werden die Wolken vielzähliger und der Wind stellenweise ungemütlich. Seeing ist auch schlecht. Warte trotzdem die astronomische Dämmerung ab und surfe ein wenig mit dem Feldstecher in der nicht bedeckten Sommermilchstraße und futtere den kompletten Nachtproviant auf. Dann schließlich die Entscheidung doch abzubauen. 

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![[Abell 59]]

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{{Abell 59}}

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![[Abell 56]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{Abell 56}}

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An der Viehtränke halte ich noch mal an und steige kurz aus. Hier ist es klar und die Luftfeuchtigkeit ein wenig niedriger. Nach einigem hin und her, es ist mittlerweile 23:30 Uhr, beschließe ich schließlich doch noch mal hier aufzubauen. Dabei passe ich auf, die Zufahrt für den Schäfer, die angenehm geebnet und geschottert ist, freizulassen. Das Teleskop steht in 15 Minuten inklusive Kollimation. Aber leider ist der Boden zu uneben und die Sturzgefahr zu hoch. Daher stelle ich mich mitten auf den Zufahrtsweg und der Schäfer kann mich mal. 

Dann sollen die ersten Objekte angefahren werden. Das 25 mm ES wird in Stellung gebracht. Der Fokussierer rutscht durch. Irgend jemand versucht tatsächlich zu verhindern, dass ich doch noch beobachte :) Also das Teil begutachtet und da es sich ja um einen Crayford-Auszug handelt die notwendige Schraube versucht zu identifizieren. Es sind am Ende zwei und der Inbusschlüssel ist schnell bei der Hand. Kurz nach Mitternacht bin ich dann schließlich sogar beobachtungsbereit. 
Doch was beobachten ?

!!!Nicht schon wieder ein Abell oder doch?

Diesmal soll es Abell 59 sein. Das Objekt ist schnell gefunden.

''Abell 59, 01:30 Uhr:'' Runder Nebel, der mit OIII bei 114 fach immer wieder kurz aufblitzt. Sichere Beobachtung, da das Objekt auch nach Pausen wieder sicher erkannt werden kann. Keine weiteren Strukturen, auch kein ZS. 21.63 Z. 

Hatte ich mir eigentlich schwieriger vorgestellt. Jetzt werde ich etwas übermütig beschließe Abell 56 einzustellen. 

''Abell 56, 03:30 Uhr:'' Recht großes, rundes, kaum wahrnehmbares Glimmen. Blitzt nur hin und wieder indirekt auf. Zunächst im falschen Suchfeld beobachtet und auch nichts eindeutiges gesehen. Aber an der richtigen Stelle ist ein Hauch von einem Nebel zu erahnen. Sehr schwer! Halte die Beobachtung in einer Zeichnung fest. Mal sehen, ob ich das Ganze im Nachhinein richtig gesehen habe. 

__Kommentar:__ Im Nachhinein mit POSS-Foto verglichen. Position und Größe sind korrekt.

Bei solchen Extrembeobachtungen muss man sich viel Zeit nehmen. Der Beobachtungserfolg stellt sich i.d.R. nur ein wenn:

#ich mir genügend Beobachtungszeit nehme. Manchmal zwei bis drei Stunden am Stück pro Objekt,
#ich entspannt bin und mich auch von vermeintlich schnellen Sichtungen nicht täuschen lasse,
#einfach genügend Geduld und Ausdauer habe.

Voraussetzung ist natürlich eine vollständige Dunkeladaption. Das beobachtenden Auge (bei mir das Rechte) bleibt bei Pausen mit einer Augenklappe bedeckt und während der Beobachtung benutze ich eine Kapuze um seitliches Fremdlicht komplett abzuschirmen. Die ersten Beobachtungsminuten nutze ich zur Adaption des Auges, da hier häufig schwache "Lichtblitze" bzw. "Nebel" ähnlich wie "Mouches Volantes" im Gesichtsfeld auftauchen. Erst nach einer gewissen Zeit von ca. 10 min verschwinden diese und das Bild wird "ruhig". Dann gehe ich auf die "Jagd". Nach ca. 30 min muss ich i.d.R. dann eine Pause machen. 

Plötzlich haben alle Sterne einen Hof. Ich vermute das Problem zunächst beim Fangspiegel. Der hat eine Heizung und er ist auch nicht das Problem. Viel mehr ist das Okular zu getaut. Nun folgt auch der Fangspiegel und schließlich sogar der Hauptspiegel. Das kenne ich schon von einer Winternacht von vor anderthalb Jahren. Ruhe bewahren, den Fangspiegel mit Handwärme wieder flott machen und abwarten. Und tatsächlich: nach 20 Minuten ist der Spuk vorbei. Hier ist einfach kurz eine Wolke durchgezogen.

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/20082340404/in/datetaken/" title="Observing NGC 288"><img src="https://farm6.staticflickr.com/5818/20082340404_dc184419b6_c.jpg" alt="Observing NGC 288"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Beobachtung von NGC 288.</div>

Aufgrund der hohen Luftfeuchtigkeit und vermutlich der Tatsache, dass ich auf dem Rosmarin herumtrampele, riecht es die ganze Nacht über nach dem wunderbaren Kraut. Wer astronomische Beobachtungen mit einer Luftkur verbinden will, sollte unbedingt herkommen.

Ich widme mich heute noch mal WLM. Ziel ist der zur Zwerggalaxie gehörende Kugelsternhaufen WLM1. Aber ohne genaue Karte ist dies ein schwieriges Unterfangen.

Und schon ist die Nacht zu Ende. Es bleiben noch circa eine halbe Stunde bis zur astronomischen Dämmerung. Ich schaue mir noch mal den "Silver Dollar" und NGC 288 an.

''NGC 288, 05:30 Uhr:'' Komischer KS. Innere erinnert klar an KS. Wenig konzentriert aber rund mit wenigen helleren Sternen in der Nähe des Zentrums. Mit den Außenbereichen sieht das Ganze eher dreieckig aus. Dort sind auch die meisten hellen Sterne zu finden. Bei 168 fach sieht das Ganze auch einem offenen Sternhaufen ähnlich.

Die von Nacht war trotz der Bedingung sehr transparent. SQM-L Werte rangierten um 21.6.

Den Rest der Zeit schaue ich mir einfach den Himmel mit bloßem Auge an. Die Lichtbrücke ist mittlerweile sehr gut zu erkennen und der Gegenschein steht kurz vor dem Untergang. Um 5:50 Uhr ist die Nacht vorbei und bereits nach 10 Minuten wird es langsam hell. Das Auto ist quietsch nass. Und bevor ich zusammen räume, schalte ich den Motor an und lüfte durch, damit sich die Scheiben vom triefenden Nass befreien.

Auf der Rückfahrt sehe ich dann eine riesige Wolkenbank über dem Dorf liegen. Kurz vor der Ankunft dann sogar dichter Nebel. Die Wettervorhersage war korrekt. Die Wolken sind nicht über das Gebirge gezogen. So hatte ich eine klare Nacht. Wie Aemet das so genau vorhersagen kann, bleibt ihr Geheimnis. Bin beeindruckt.
An der Bar bei einem Cognac werde ich vom Barkeeper und einem Gast angesprochen. Es ist mittlerweile nach sieben Uhr morgens. Ja, ich beobachte nachts und nein ich bekomme kein Geld dafür. Ich erkläre, wo ich mich aufhalte. Sofort wissen beide Bescheid, wo das genau ist. Und der Gast erklärt mir, dass er dort schon andere Leute beobachten gesehen hat. U.a. einen Deutschen in einem kleinen Bus. 

[[Weiter zur nächsten Nacht >>|19. August 2015 - Pinar  de Araceli]]

Endlich lässt der Regen nach. Und es wird auch mal klar. Seit April gab es keine klare Nacht, wenn man von den Nächten im Juni mal absieht. Da lohnt sich eine Beobachtung nicht, jedenfalls ich klammere so etwas grundsätzlich aus.

Nun gut. Die letzten Tage, eigentlich schon Wochen, gab es Starkregen ohne Ende. Heute ist zum Glück Freitag und das Wochenende hat damit schon begonnen. Das Schönwetterhoch soll bis Mitte der nächsten Woche halten. Wobei es leider Sonntags, also morgen, bewölkt ist. Die Nächte sind mit fünf Stunden mittlerweile brauchbar.

Gespannt bin ich vor allem auf die SQM-Messungen. Zwar stört die Milchstraße, aber das ganze kann man doch vergleichen mit Andalusien, denn da stand die Milchstraße im Juni am Ende der Nacht ähnlich hoch wie hier am Anfang. Hoffe, dass der Schock nicht zu groß wird. Wir sind heute wieder an einem seltener aufgesuchten Beobachtungsplatz und hoffen, dass hier heute Nacht nicht so viel passiert. Es ist ja Wochenende und damit immer ein Risiko und das nicht nur in Deutschland. Passieren ist eigentlich auch zu viel gesagt, in der Regel sind es einfach durchfahrende Autos oder Leute mit Lampen.

![[M 101 im Feldstecher gucken|M 101 im Feldstecher]]

Die Galaxie erscheint rund, mit kaum wahrnehmbarer Helligkeitszunahme zum Zentrum hin, direkt an einer langen Sternenkette aus schwachen Sternen, die am Ende eine Polygonstruktur bilden, bestehend aus mehreren hellen Sternen. Sehr schön. Im Teleskop ist die Supernova nicht mehr zu erkennen. „Stolpere“ auch über M 51. Sieht aber nicht gut aus.

Erste Messung mit dem SQM lassen mich erstarren, denn es werden nur 21.19 angezeigt! Neh oder? Mit dem SQM-L hingegen 21.45 abseits der Milchstraße gemessen. Mit dem SQM kann man das ja nicht, aber im Vergleich zu Andalusien, wo die selbe Sternzeit im Juni herrschte, sind das doch sehr niedrige Werte, denn dort wurden konstant mit Milchstraße im Zenit 21.46 erreicht. Mittlerweile ziehen auch hohe Wolken durch, stören aber kaum. Jetzt widme ich mich meinem ersten ernsthaften Objekt, nachdem ich auch ein wenig in der südlichen Milchstraße mit dem Feldstecher unterwegs bin. Aber bevor ich das tue, gehe ich noch mal auf M 22, wobei der KS schon im Feldstecher sehr hell wirkt, wie auch andere Highlights. M 22 steht leider aber zu tief für den Dobson und kann somit nicht beobachtet werden.

Ein Fahrzeug taucht auf und versucht tatsächlich, auf den Platz zu gelangen. Das klappt aber nicht, denn Mathias hat an der Einfahrt aufgebaut. Der Wagen dreht um und fährt wieder, aber wenig später taucht ein junger Mann auf mit einer Rotlichtlampe. Das ist uns natürlich ganz recht und er erkennt, dass wir Astronomen sind. Wir rufen uns ein paar Worte zu und dann verschwindet er auch, denn er möchte Aufnahmen machen. Wir bleiben verwundert zurück.

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Wieder eine neue Kamera! Aufnahme oben stammt von einer frisch modifizierten Sony A7s und zeigt den Blick Richtung Osten. Wozu braucht er denn noch eine Kamera? Gute Frage, eigentlich braucht er sie nicht. Aber sie hat weniger Pixel als die bereits vorhandene A7, das heißt auch die Pixel sind deutlich größer. Damit ist das Rauschverhalten noch mal besser, so jedenfalls die Theorie. Damit kann dann bei höherer ISO kürzer belichtet werden. Dadurch verschwimmt der Vordergrund bei kürzer nachgeführten Aufnahmen nicht so stark, was einen realistischen Eindruck von der Umgebung hinterlässt. Das Foto wurde zu Beginn der Dämmerung aufgenommen und man erkennt schön das Sternbild Orion, was gerade aufgegangen ist. Der helle Bereich ist das Zodiakallicht, dass sich bereits mit der Dämmerung vermischt. Rechts oben, Jupiter, sehr hell.

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Und ein paar Minuten später. Die Dämmerung ist bereits im Gange.

![[Sh 2-71]]

Heller Nebel, der am besten mit [OIII] beobachtet werden kann. UHC geht aber auch gut. Am besten erscheint er mir bei 231x. Dann zeigt sich eine Art Schlauch mit einen helleren Stern in seiner Mitte. Weiterer schwacher Stern erkennbar, westlicher Teil des Nebels deutlich heller, östlicher hingegen diffus und eher unscheinbar. Beide verbindet eine kurze „Brücke“, die wiederum heller ist. Gegenüberliegende Seite hingegen kaum bis gar nicht auszumachen. Sehr schön!

![[Sh 1-89 - Mottennebel]]

Recht kleiner Nebel, UHC funktioniert gut. Kann bis auf 380x vergrößert werden. Dann zeigt sich mittig ein heller Balken und andeutungsweise abseits ein kurzer heller Bogen. Bei geringerer Vergrößerung scheint sich aber eher ein Ring zu zeigen. Tatsächlich aber setzt sich der Nebel östlich weiter fort, und am Ende kann man einen ovalen Nebel mit einem hellen, mittigen Balken wahrnehmen, der fast auf einem Stern aufsitzt. Skurril! Man sollte in jedem Fall die Vergrößerungen variieren!

Die Zeit rennt wie verrückt. Mittlerweile hat auch Wind eingesetzt. Genau wie vorhergesagt. Der Astrofotograf, der vorbei kam, ist nun erneut bei uns. Mathias zeigt ihm ein paar Schaustücke und er ist begeistert. Kommt aus Hanau und muss auch wieder zurück. Wir beobachten noch ein wenig weiter Mathias baut schließlich um drei Uhr ab. Ich vermesse noch mal den Himmel, aber die Werte bleiben die selben. 

!M 27 und NGC 6888

Jetzt werden noch Schaustücke angesehen. M27 mit [OIII]. Habe eine Zeichnung ja in Andalusien angefertigt und möchte nun noch mal schauen, wie das ganze hier mit ein paar mehr Zoll aussieht. Und es sieht sehr gut aus! Mathias bemerkt, dass der Nebel eine faserige Struktur zu haben scheint, die allerdings, wie wir beide feststellen, schwierig „auf Papier“ zu bringen ist. Auch NGC 6888 begeistert uns, wobei ich ihn zuvor schon in Mathias Teleskop gesehen hatte. Irgendwie schon blöd, dass wir beide mit 21 Zoll hier sind, so kann man eigentlich nicht wirklich die Ansichten in unterschiedlichen Teleskopen teilen, denn unterscheiden sich die Geräte sogar beim Öffnungsverhältnis kaum.

Das Seeing ist heute recht bescheiden, um nicht zu sagen schlecht. Am Anfang der Nacht haben sich die Sterne auch über Sekunden hin und wieder aufgebläht um dann wieder ihre ursprüngliche Größe einzunehmen. Also nichts für Planeten und leider auch nicht für winzige Planetarische Nebel. Die Luftfeuchtigkeit bleibt erstaunlich gering. Obwohl ich nicht gemessen habe, ist nur das Autodach feucht, was auf etwa 70 % relative Luftfeuchtigkeit schließen lässt. Das ist sehr gut und praktisch der Wert, der auch vorher gesagt worden ist. Außer das kräftige Gras im Umfeld, dass richtig nass ist, bleibt sonst alles trocken. Sehr angenehm.

!Cirrus Nebelkomplex

Puh, sehr schön. Der „Sturmvogel“ kommt mit [OIII] sehr gut. Die „Knochenhand“ und das „Dreieck“ auch. Deutlich heller und ein wenig strukturierter, als ich dies mit 14 Zoll in Erinnerung habe.

![[NGC 770 & 72 = Arp 78|NGC 772]]

Juchu! Helle Galaxie mit markanten, abgehendem Arm. Wie ein Zeiger! Er zeigt allerdings nicht auf den Begleiter. Blickweise zeigen sich hin und wieder Knoten im Arm. Interessant 🧐 Kommt auf Wiedervorlage.

Mathias ist um vier abfahrbereit und ich total platt. Ich werde hier im Auto übernachten. Mein Zeug steht hinter dem Auto und man hat den Eindruck, dass es sich um eine Müllhalde handelt. Mit dem schlafen klappt es ganz gut. Allerdings werde ich nach dreieinhalb Stunden wach, weil die aufgehende Sonne doch das Auto aufheizt und ich nicht weiter schlafen kann. Ich überlege kurz, ob ich versuche hier irgendwo ein Zimmer zu bekommen oder doch nach Hause fahre. Ich fahre schließlich nach Hause, denn ich weiß, dass die Wettervorhersage für diese Nacht schlecht ist und zudem eine Erholung zu Hause doch besser gelingt.

[[<< Zurück zur Beobachtungsübersicht|Rhön im August 2023]] | [[Weiter zur nächsten Nacht >>|20. August 2023 - Lange Rhön]]

Tagsüber fahre ich durch die Sierra und mache Fotos und besuche ein paar Spots. Wunderschöne Gegend. Es dominieren hier ganz hervorragende Farben, der Boden mit seinem Kalkgestein und dem von Schafen kurz gefressenen Pflanzen, die wie ein weicher Teppich die Landschaft überziehen.

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Die Vegetation zeigt sich hier nicht durch ein sattes Grün, sondern durch ein Art graugrün. Alles sieht so aus, als hätte jemand die Farbsättigung fast komplett zurückgesetzt. Einfach wunderbar!

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! Interessante Unterkunft direkt in der Sierra

Interessant ist auch eine Location, die sich praktisch schon als Beobachtungsort direkt eignet: [[El Pinar de La Lobrera|https://maps.app.goo.gl/CYx69HfvLnhDzuWy7?g_st=iw]]. Dabei handelt es sich um ein „Jagdhaus“, wobei Teile davon als Casa Rural gemietet werden können. Preislich interessant ist es wahrscheinlich erst, wenn man mindestens zu zweit reist. 

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Im Vorfeld wäre allerdings zu klären, wie man dort tatsächlich beobachten kann, denn man ist ja dann vermutlich nicht alleine und muss gegebenfalls auf weitere Gäste Rücksicht nehmen. Ich werde das mal versuchen herauszufinden, vielleicht gibt schon Beobachter, die dort waren und möglicherweise sind sie schon auf „Astros“ eingestellt.

<<<

Zweite Beobachtungsnacht, wieder am selben Platz. Die Sachen im Auto sind immer noch ganz nass, obwohl ich bestimmt drei Stunden tagsüber durch die Sierra gefahren bin und durchgelüftet habe. Unglaublich, wie feucht es gestern war. Beim Aufbau bemerke ich sogar, dass der Hauptspiegel beschlagen ist. Macht nix, dann muss er halt abtrocknen. Die Luftfeuchtigkeit soll laut Vorhersage heute Nacht deutlich zurückgehen. Am Anfang ist davon allerdings nichts zu spüren, denn sie steigt noch mal auf 99 %. Die Temperaturen fallen leider auch schnell und zwar wie gestern fast auf -2 °C. Aber ich spüre schon, dass es nicht so schlimm wird wie gestern, denn ein fetter Eispanzer setzt sich nirgends ab.

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Die Bedingungen sind heute nicht so gut, denn hohe Wolken sind wieder angekündigt. Allerdings kann man sie mit bloßem Auge kaum erkennen. Tagsüber ist die Transparenz hervorragend. Messungen mit dem SQM-L bestätigen dies aber nicht, denn die Maximalwerte gehen nur bis 21.5. Normalerweise sind hier deutlich bessere Werte möglich, aber bereits zu Dämmerungsbeginn ist das Zodiakallicht trotzdem gut zu erkennen.

Erstes Objekt ist Jupiter, der sich bei recht gutem Seeing zeigt, allerdings fehlt zum Planetenseeing, wie auch gestern, ein Ticken. Direkt erkennbar ist der Große Roten Fleck (GRF). Die Monde sind eindeutig flächig erkennbar. Innerhalb der roten Bänder zeigen sich blickweise immer wieder schöne Strukturen. Ich habe sogar den Komakorrektor dabei, der bei der Beobachtung gute Dienste leistet. Denn so kann man das Gesichtsfeld komplett für den Durchlauf nutzen.

!M 33

Dann geht es weiter zu M 33, die ich die ganze Nacht jetzt beobachten werde. Hintergrund ist ein Projekt, was ich vor drei Jahren begonnen hatte und zwar hier. Damals hatte ich versucht mit 14 Zoll eine Zeichnung anzufertigen, was auch gelang, allerdings habe ich sie in der Folge verlegt. Weiß bis heute nicht wo sie ist. Deshalb starte ich heute noch mal ganz neu und die Zeichnung soll ja auch digital entstehen. Die Galaxie zeigt sich sehr beeindruckend, mit insgesamt vier gut erkennbaren Spiralarmen, die alle mit hellen Knoten versetzt sind. Zunächst konzentriere ich mich auf das Sternfeld. Das schöne ist ja bei der App, die ich zum zeichnen nutze, dass man Ebenen verwenden kann, in denen man einfach die Dinge trennen kann. Zunächst beginne ich die Sterne zu zeichnen. In einer separaten Ebene, dann um die Knoten beziehungsweise HII-Gebiete. In einer weiteren Ebene widme ich mich denn Spiralarmen. Dies hat viele Vorteile, denn so kann man die Dinge unterschiedlich bearbeiten ohne, dass sich alles überschneidet. Wichtig ist, gedanklich immer zu wissen, in welcher Ebene man arbeitet.

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![[M 1 - Krebsnebel]]

So bin ich fast die gesamte Nacht mit M 33 beschäftigt. Als die Galaxie bereits am Untergangshimmel steht, widme ich mich nochmals M 1. Heute ist der Nebel deutlich einfacher und besser zu erkennen. Liegt vermutlich an der geringeren Luftfeuchtigkeit, die jetzt nach Mitternacht tatsächlich schnell fällt, so dass ich alle Autotüren öffne, um das Auto auch von innen schön abtrocknen zu lassen. 

Ich versuche mit 430x den Pulsar im Innern zu erkennen, was leider nicht gelingt. Zu hell und zu schwach ist er, wobei er direkt neben einem etwa gleich hellen Stern steht, so dass man praktisch zwei Sterne trennen und erkennen muss. Letztlich kann ich aber nichts erkennen.

Zwischendurch gibt es noch mal eine Schrecksekunde. Plötzlich höre ich das Gebimmel von den Schafen. Und dann vielleicht zwei Minuten später, jagen in etwa 30 m Entfernung Tiere durchs Gelände. Kann sie sogar mit dem Auge kurz sehen und von der Größe her würde ich sagen, dass es Rehe waren. Trotzdem bin ich erst mal völlig durch, denn sie machen auch Geräusche, so dass ich mir fast in die Hose mache. Schnell ins Auto gesetzt und Tür zu. Natürlich nicht ganz zu, so dass die Innenbeleuchtung 😅 angeht. Fünf Minuten warten und weg sind sie. Zum Glück! Habe ich bisher nur hier erlebt, dass Tiere so nah an einen heran kommen. Wie auch immer, ich beruhige mich, denn hier sind Tierlaute häufiger zu hören.

![[IC 443 - Quallennebel]]

Die Nacht vergeht wie im Fluge. Jetzt ist es schon zwei Uhr. Gestern um diese Zeit habe ich bereits abgebaut. Es folgt das letzte Objekt IC 443. Es handelt sich auch hier, wie bei M 1 um einen Supernovaüberrest. Er ist auch direkt mit [OIII] erkennbar. UHC funktioniert auch gut. Er ist auch gut auffindbar, denn er steht unmittelbar bei Propus oder 7 Geminis, der bereits mit bloßem Auge aufgrund seiner Helligkeit von 3 mag gut zu erkennen ist und gelb-orange im Teleskop bei Übersichtsvergrößerung zu erkennen ist. IC 443 zeigt sich als heller, diffuser Nebel, der von Norden nach Osten nach Südwesten verläuft. Am nördlichen Ende ist er recht hell, gut definiert mit auslaufender Fahne nach Westen. Im weiteren Verlauf wird er deutlich schwächer bis hin zu einer kreuzenden Sterngruppe, die aus drei hellen Sternen besteht, die ein flaches, gleichschenkliges Dreieck bilden. Südwestlich davon verschwindet er im reichen Sternenfeld.

Der Orion ist jetzt bereits an den Westhimmel vorgerückt. Der große Hund ist jetzt vollständig aufgegangen. Natürlich steht er schon länger am Himmel, aber aufgrund des Bergrückens und des Waldes geht er recht spät auf.

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Ich versuche noch Mars. Das Bild ist ganz ordentlich, wenngleich der letzte Ticken für die Details fehlt, denn der Planet springt mit winzigen Positionsänderungen bei extrem hoher Frequenz hin und her. Schade! Als Rausschmeißer schaue ich mir noch schnell M 42 an und dann M 46 & M 47. Wunderbar! Die Milchstraße ist die ganze Nacht über von Horizont zu Horizont zu sehen gewesen. Traumhaft. Ich packe schließlich zusammen und habe auch ein paar Fotos gemacht und hoffe, dass die tatsächlich mal was geworden sind. Glücklich und vorsichtig fahre ich über die mit Raureif überzogene Bergstraße zurück zum Hotel.

[[<< Zurück zur vorangegangenen Nacht |17. Dezember 2022 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|19. Dezember 2022 - Pinar de Araceli]]

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Heute sind die Bedingungen besser. Der Wind pfeift zwar immer noch, aber ich bin ein paar Weinberge weiter gezogen und an einem anderen Haus „hängen geblieben“. Bietet gute Rundumsicht und Windschutz. Hoffen wir mal, dass das so bleibt.

Seeing ist ganz brauchbar. Nichts überragendes aber Ok.

[[Vyssotsky 1-1]]: Auf den ersten Blick sternförmig und auch bei 430 fach recht hell. Bei insgesamt wechselhaftem bis schlechten Seeing zeigt sich in ruhigen Momenten ein Stern mitten in einem hellen, runden Halo. Seeing 4-5, kurzzeitig 2.

SQM-L zeigt 21.6. Es ist recht kalt hier auf 1320m üNN. Vor der Beobachtung düste noch ein Wagen vorbei. Hat mich nicht gesehen. Gut so. Die Kamera schießt eine [[Zeitrafferaufnahme des Polarsterns|Nordpol]], zum xten Mal. Mal sehen, ob es klappt. Aufgrund des schlechten Seeings stelle ich auf große Nebel um. 

[[Ellis-Grayson-Bond 1]]: Ovaler, unscheinbarer Nebel, der am Besten bei 114 fach und OIII-Filter zu erkennen ist. Erinnert an einen schwachen Abell. 

Der Wind legt zwischenzeitlich wieder zu. Gut, dass ich hier geschützt stehe. Seeing ist bei den Profis um 1“. Bei mir deutlich schlechter. Egal. 

''//Ishida-Weinberger 1//'': Bei 65 fach und OIII-Filter ist leider nach geduldiger Beobachtung nichts eindeutiges zu erkennen. Leider. Die Sterne, die im hellsten Bereich des Nebels liegen, sind einfach zu hell und der Nebel offenbar zu dunkel. Bei [[Reiner Vogel|http://www.reinervogel.net]] gibt es ein Foto, was hilft, sich im reichen Sternfeld zu orientieren.

Mitternacht. Die Profis haben Seeing mittlerweile um die 0.8". Ich hingegen schätze es bei mir deutlich schlechter ein. Immerhin hat es sich ein wenig gebessert, was ich bei 290 facher Vergrößerung schon gut erkennen kann. Also geht es weiter mit den großen Nebel. Ich wende mich jetzt aber wieder dem Simeis 147 Projekt zu.

''//Simeis 147 um Stern SAO 77350//'': Südlich dieses Sterns kreuzen sich zwei Filamente und bilden eine „Schere“. Trotzdem kann ich weder bei 40, 65 und 114 fach sowie OIII (40 + 65 +114 fach), sowie Hß bei 40 fach nichts erkennen. Halte eine kompakte schwache Sterngruppe zunächst vermeintlich für den „Schnittpunkt“. Dieser liegt aber eine Winzigkeit weiter südlich. Die Sterngruppe ist aber bei 65 fach mit OIII noch zu erkennen und täuscht so den Nebel vor. Höhere Vergrößerung mit 114 zeigt dann an der richtigen Stelle nichts. Vielleicht auch ein Auflösungsproblem, d.h. Man sollte hier versuchen mit größeren Geräten und großer AP arbeiten um ggf. den Schnittpunkt erkennen zu können.

Region B: Auch hier nix zu sehen. Probiere bei 40 fach und OIII-Filter die hellen Ecken des Vierecks zu erkennen, aber leider nichts. Gar nichts.

Die schwächeren Teile weiter zu beobachten macht keinen Sinn. Stelle nochmal die Region HD 246646, die hellste Region von Simeis 147. Hier kann ich tatsächlich die bereits erkannten Strukturen ausmachen. Das sind zumindest die einzigen Strukturen, die ich sicher erkennen kann.

Gegen zwei Uhr packe ich dann überstürzt ein. Ein Sturm ist losgebrochen. Das Ganze macht keinen Sinn mehr. Jedenfalls hier nicht. Checke noch mal das Seeing. Ok. Ist ganz gut. Kann ich mir gar nicht erklären. Kann sich auch schnell wieder ändern, mit jeder Windböe. Fahre runter zum Platz von gestern, wo ich vom Nieselregen überrascht worden bin. Auch hier Wind. Weiter zu einem nahen, aber noch tiefer gelegenen Platz. Ok. Aber irgendwie ist die Luft raus. Nach Hause. 

[[<<Zurück zur vorangegangenen Nacht|17. Januar 2018 - La Palma]] | [[Weiter zur nächsten Nacht >>|19. Januar 2018 - La Palma]]

So, diesmal bin ich in dem Ferienhaus „El Colmenero“. Ebenfalls auf circa 1000 m üNN gelegen. Hoffe nicht, dass es hier irgendwelche Nachbarn mit Außenbeleuchtung oder sowas gibt. Der Weg zum Roque ist kürzer und auch zum windgeschützten Platz am Wasserreservoire. Dafür liegt das Haus an der Wolkenscheide, d.h. eigentlich für unser Hobby etwas ungünstig. Für heute Nacht waren eigentlich hohe Wolken angekündigt. Diese sollen jetzt aber erst morgen früh eintreffen. Der Mond geht um 4:00 Uhr Ortszeit=UT auf.

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Am Haus werde ich bereits erwartet. Leider hatte ich die falsche „Pista“ genommen und so mühe ich mich über den steilen Feldweg ab. Ich werde freundlich begrüßt und nach der Übergabe kommt der Nachbar vorbei. Spricht deutsch und klärt mich auf, daß man seine beiden Katzen bitte nicht füttern solle. Sonst würde man sie nicht mehr los. Ich habe Verständnis und werde natürlich nichts dergleichen machen.

Am Haus ist mir zuviel los. Nicht das konkret was los wäre. Ist nur so ein Gefühl. Ich fahre deshalb hoch. Auf dem Roque weht der Wind ganz leicht. Komme erst zur astronomischen  Dämmerung an. Warm mit 10 °C. SQM-L misst gegen 20:00 Uhr UT gleich mal 21.6 um Polaris. Der Himmel ist deutlich dunkler als im Pinar de Araceli vor ein paar Wochen. Seeing ist wohl nix, da helle Sterne flackern. Habe aber durch das Teleskop noch nicht geschaut. 

Morgen wird eh nichts gehen, da hohe Bewölkung angekündigt ist. Übermorgen leider auch nichts, wobei ich davon ausgehe, dass sich die Wolken vermutlich doch auflösen werden. Also zunächst erst mal keine guten Nachrichten. Aber so ist es. Eine Wettergarantie gibt es natürlich nicht.

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Ich muss froh sein, dass es diese Nacht heute gibt und dass ich sie genießen darf. Alles andere ist erst mal nebensächlich. Ich habe auf jeden Fall wieder meinen 14 Zoll Dobson dabei, der mich auf meinen Reisen bisher immer klaglos begleitet hat.

Tja, womit beginnen? Ich möchte am Anfang noch mal die Gelegenheit nutzen, um [[MBM 54|NGC 7497 & MBM 54]] zu schauen. Ist wieder gut zu erkennen. Sogar einfacher, als vor ein paar Wochen. Aber letztlich, dass zeigt sich wieder, muss man wissen wohin man schauen muss. Einfach so Aufzufinden ist schwierig. Oval, länglich in sternarmen Gebiet. Westlich sind zwei schwache Sterme zu erkennen, die noch nicht in der Zeichnung sind. Im Nebel bzw. Rand auch.

Anschließend M33. Und dann mal schauen. Die Galaxie scheint bei 114 fach auch heller als im Pinar. Der Himmel über La Palma ist doch einen Ticken besser. Nun ja. Der Wind hatte zwischendurch mächtig aufgefrischt, aber sich wieder gelegt. Jetzt sind Top-Bedingungen. Warm mit 9.5 °C, kaum Wind. Ich habe jetzt ein paar Stimmungsaufnahmen gemacht. Und ein Mosaik vom Orion läuft auch. Setze einen neuen Filter ein. Damit ist der Kontrast um einiges besser und der Weißabgleich viel besser.

Nach Mitternacht kommen keine Autos mehr. Schön ruhig hier. So fotografiere ich häufig. Möchte ein Panorama vom Sternbild Orion machen. Und dem Fuhrmann. Beobachten tue ich parallel. Jetzt schaue ich mir M81 an. Möchte die begonnene Zeichnung von vor ein paar Wochen komplettieren. Das Seeing ist nicht so gut. Bei 114 fach verschmieren die Sterne  leicht. 1.2  bis 1.6“ melden die Profis. Nun gut. Das SQM-L misst im großen Wagen 21.95! Im Mittel! Sehr gute Bedingungen. 7timer sagt Wolken die nächsten zwei Tage vorher; dann hohe Luftfeuchte auf dem Roque. Mist. Drei Nächte wird nix gehen. Blöd. Jetzt mache ich aber mal die Zeichnung und die Fotos fertig.

Zunächst aber bin ich hier. Krass ist, dass die Temperaturen mal schnell von +10 °C auf +4.5 °C fallen. Das passiert offenbar, da der SE-Wind weg ist. Jetzt ist er wieder da und die Temperaturen steigen wieder schnell auf +10 °C. Merken tue ich das nicht. Der Windchill-Faktor hebt den Temperaturvorteil vollständig auf. 

Die Nacht verstreicht. Ich mühe mich mit M81 ab. Parallel laufen Fotos. Der Himmel ist fantastisch. Um drei Uhr erlöst mich der Mond. Ja, Erlösung. Ich bin KO. Hatte erst in einer Stunde mit ihm gerechnet. Sky Safari hat immer noch falsche Standardeinstellungen zur Zeitzone. Ich baue in Ruhe ab. Es wird recht schnell hell. Zu Hause bin ich überrascht über den dunklen Himmel. In Sichtweite, aber weit weg, sehe ich eine vorbildlich abgeschirmte Straßenlampe. Sonst nix. Obwohl hier Leute wohnen, ist es dunkel. Zuhause undenkbar.

[[<< Zurück zum Artikel|La Palma Januar 2020]] | [[Weiter zur nächsten Nacht >>|19. Januar 2020 - La Palma]] 

Klar. Nahezu windstill. Wieder perfekte Bedingungen.

Erstes Objekt ist Jupiter. Bereits während der Dämmerung lässt sich sinnvoll auf 280 fach vergrößern. Blickweise werden viele Details sichtbar.

Die Magellanschen Wolken sind für mich ein schwieriges Unterfangen. Kaum Sterne, die als Referenzpunkte das Auffinden von Objekten erleichtern und damit auch deren Identifikation.

''Abell 7, 18:30 Uhr:'' Etwas verrückt Abell 7 zu beobachten. Nachdem er bereits einige Male hinter einer Palme verschwunden ist, habe ich heute das Teleskop versetzt, um doch noch erfolgreich zu sein. Mit OIII-Filter und maximaler AP, das heißt einhundertfacher Vergrößerung rücke ich dem Objekt zu Leibe. Und so wird zunächst der westliche Teil sogar ein paar Minuten vor der astronomischen Dämmerung als schwaches Glimmen sichtbar. Der östliche Teil folgt wenige Minuten später. Schließlich folgt dann der schwächere westliche Teil nahe eines Sterns (einem "kleinen Kreuz"). Versuche anschließend den schwachen runden Glow zu erhaschen, bis schließlich das Bild deutlich dunkler wird. Ein Blick durch den ~QuickFinder zeigt schließlich, dass das Objekt erneut hinter einer Palme verschwindet! Anmerkung: Es gibt nur zwei Palmen. Und diesmal war es die Linke, also DIE andere.

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![[Abell 7 mit 25 Zoll]]

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{{Abell 7 mit 25 Zoll}}

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![[M87 + Jet]]

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{{M87 + Jet}}

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![[Abell 68]]

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{{Abell 68}}

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![[Abell 69]]

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{{Abell 69}}

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''NGC 2005, 19:10 Uhr: '' Große Magellansche Wolke: Sehr interessantes Feld bei hundertfach um den Kugelsternhaufen NGC 2005. Westlich befinden sich weitere kleinere und schwächere Kugelsternhaufen NGC 1958 sowie NGC 1938. Südlich ist ein weiterer Kugelsternhaufen zu erkennen, der etwas heller als die letzten beiden ist. Es ist NGC 2038. Nordöstlich ist eine helle Sternenwolke zu erkennen. Nordwestlich weiterer kleiner schwacher Kugelsternhaufen zu sehen, der aber in ~SkySafari nicht vermerkt ist.

''B 228, 20:35 Uhr:'' Riesiger langgestreckter Dunkelnebel. Schon im Feldstecher eindrucksvoll sichtbar. Füllt fast das gesamte Gesichtsfeld aus. Im Teleskop wenig spektakulär, da der Dunkelnebel natürlich nicht ins Gesichtfeld passt und daher abgefahren werden muss. Der Dunkelnebel als solches ist hauptsächlich anhand des Fehlens der Sterne, also der "Leere", zu erkennen.

''NGC 3115, 20:55 Uhr:'' Sehr helle spindelförmige Galaxie in Kantenlage. Deutliche Helligkeitszunahme zum Zentrum hin. Zentrum sehr hell aber flächig. Darüber ist sehr schön der umgebende Bulge zu erkennen. Keine weiteren Einzelheiten sichtbar. Kann sehr hoch vergrößert werden.

Spontan entschließe ich mich den Jet in M87 zu versuchen. Das Seeing ist heute sehr gut und daher ist es einen Versuch wert.

''M87, 23:55 Uhr:'' M87 zeigt sich bei minimaler Vergrößerung sehr hell. Bei 700 fach zeigt sich nach geduldiger Beobachtung und gutem Seeing der Jet als kurzer Strich ab, der im rechten Winkel vom Zentrum abgeht und in den Halo ragt. Rechtwinklig dazu zeigen sich in einigem Abstand zwei lichtschwache Galaxien, die aber nur bei geringerer Vergrößerung von 460 fach sichtbar werden. Der Jet ist dann immer noch zu erkennen, allerdings schlechter.

Als Belohnung gebe ich mir Markarian Galaxienkette. Schon bei minimaler Vergrößerung von hundertfach sind die Galaxien sehr hell.

''Abell 1656, 0:15 Uhr:'' Galaxienhaufen. Viele kleine Galaxien, wobei NGC 4889 die hellste ist. Im Vergleich zu den Galaxien der Markarian Galaxienkette geradezu winzig und lichtschwach.

''M104 - "Sombrero Galaxie", 0:35 Uhr:'' Berühmte spindelförmige Galaxie mit hellem Zentrum und Dunkelband, welches parallel zur Längsachse verläuft. Beste Ansicht bei 280 fach.

''Abell 45, 2:35 Uhr:'' Trotz über einer Stunde intensiver Beobachtung, 25 Zoll Öffnung und bester Durchsicht, dazu dunklem und perfekten Standort (Namibia) sowie der Verwendung unterschiedlicher Vergrößerungen von hundertfach und 280 fach, jeweils mit OIII-Filter, konnte ich nichts eindeutiges erkennen. Zunächst viel Zeit mit dem Aufsuchen verbracht, da reiches Sternfeld. Auch Durchschwenken bei minimaler Vergrößerung hat zu keinem Erfolg geführt. Nur OIII-Filter versucht. 

''M27, 3:35 Uhr:'' Der berühmte Hantelnebel. Bei 280 fach und OIII-Filter zeigen sich Knoten und Verdichtungen. Der Nebel lässt sich sinnvoll tatsächlich noch bis 460 fach vergrößern ohne das der Nebel zu dunkel wird. Bei minimaler  Vergrößerung schimmert der Nebel grünlich.

''Abell 68, 4:00 Uhr:'' Sehr kleiner, runder scharf begrenzter Nebel. Befindet sich in direkter Nachbarschaft Uhr zum berühmten planetarischen Nebel M27. Nach wenigen Sekunden taucht der Nebel bei 180 facher Vergrößerung und OIII-Filter auf. Ein Passant und Novize in Sachen Abell Beobachtungen bestätigt die Sichtung. Überraschend einfach!

''Abell 69, 04:50 Uhr:'' Klein, rund und ohne Zentralstern und irgendwelche Struktur. Sehr schwerer Abell, der nur hin und wieder bei 180 fach aufblitzt. Viel schwerer als zuvor beobachteter Abell 68.

Ich beginne noch schnell eine Zeichnung. Jetzt muss ich mal aus der Knete kommen, da die Dämmerung in wenigen Minuten einsetzt. Deshalb zeichne ich sehr schnell. Zuerst den Nebel, dann die ihn umgebene Sterngruppe.

Es wird schließlich heil und um 5:20 Uhr baue ich zufrieden ab.

[[Weiter zur nächsten Nacht>>|19. Mai 2015 Tivoli]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Cc18Vp" title="Las Tricias"><img src="https://live.staticflickr.com/65535/50333188963_e6a5044db0_k.jpg" alt="Las Tricias"></a>

Endlich geht es weiter. Für heute sind aber - wieder mal - hohe Wolken vorhergesagt. Mal sehen ob das so kommt. Morgen und übermorgen dann richtig klar. Ich bin jetzt die vierte Nacht am Dobson. Nicht sehr viel. Mit gestern erst zwei gute Nächte, wobei gestern das Seeing mies war.  

Heute sind die Bedingungen gut. Bei Anbruch der Abenddämmerung ist es richtig klar. Endlich. Die Nacht beginnt vielversprechend. Erstes ernsthaftes Objekt nach M13 und M22 ist Vz 1-2. Leider ist das Seeing für dieses Objekt noch nicht bereit. Oder der Spiegel. Ich bin es jedenfalls. Dann kommen leider Wolken auf, die zwar sehr langsam ziehen, aber sich beharrlich voran schieben. Als sie auf die Insel treffen, lösen sie sich langsam auf. Doch der nächste Schwung ist schon unterwegs. Irgendwie fasse ich nicht richtig Fuß und stöbere am Himmel herum. Interessant finde ich mal wieder einen Besuch beim Saturnnebel, der wirklich interessant ausschaut.  In Momenten guten Seeing ist die Schalenstruktur gut zu erkennen und verschwindet sofort wieder wenn das Seeing schlechter wird.

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50380109577/in/dateposted/" title="Sternenhimmel mit Calima kurz vor Monduntergang am 19.09.2020"><img src="https://live.staticflickr.com/65535/50380109577_eba14de7ce_h.jpg" alt="Sternenhimmel mit Calima kurz vor Monduntergang am 19.09.2020"></a>Sternenhimmel Mit Calima kurz vor Monduntergang. Der Mond 🌒  ist auf etwa 4 Uhr am Horizont zu erkennen.</div>

!!NGC 7027

Die Wolken verziehen sich zum Glück wieder und am Ende bleibt es weitestgehend klar. Ich beobachte schließlich NGC 7027. Bei stellenweise gutem Seeing wird ein im Kern zweigeteilter Nebel sichtbar. Bei 82 fach grün und nur unwesentlich größer als ein Feldstern, aber von diesen bzgl. Ausdehnung und Form bereits unterscheidbar. Bei 600 fach wird die Zweiteilung deutlich sichtbar. Nördlicher Teil erscheint U-förmig mit längeren, helleren Kanten in die Knoten eingebettet sind. Am nördlichen Ende mit Hörnern. Der südliche Teil kürzer und etwas dunkler.

!Mars für Astrofotografen

Mars ist das nächste Ziel: Bei sehr gutem Seeing sind sehr schöne Details auf seiner Oberfläche wahrnehmbar. Die Astrofotografen stehen Schlange. Es fallen unschöne Worte wie „...also auf meinen [bearbeiteten] Bildern ist mehr zu sehen....“. Und: „...boah ist der hell!“, da war aber auch schon der Graufilter drin.

Die Nacht wird immer besser. Die Wolken „lungern“ noch am Westhimmel, kommen aber am Ende nicht durch. Gut so. 

!!Simeis 147

Ich starte einem meiner Lieblingsobjekte Simeis 147 (um HD 246646) einen Besuch ab. Dabei handelt es sich um den hellsten Teil des SNR. Leider ist wenig zu erkennen. MMhhhmmm...Also schon was, wie die Aufhellung als „Strich“ zwischen zwei Sternen und ein „Klecks“ neben der Sternengruppe um HD 246646. Aber alles sehr enttäuschend. 

Ich beschließe schließlich in M42 abzuhängen. Gestern war der Nebel schon eindrucksvoll. Vorher geht es aber zum Flammen- und zum Pferdekopfnebel. Beide sind sehr eindrucksvoll. M78 ist es auch. Glaube „Haare“ im hellen Reflexionsnebelteil zu erhaschen.

Ich disponiere um und bemühe mich noch einmal meine ganze Konzentration zusammenzunehmen. Es geht wieder zu den Wurzeln zurück. Abell 14 soll eingestellt werden. Diesen PN hatte ich bei meiner ersten [[Namibiareise|15. Mai 2015 Tivoli]] auf dem Schirm. Und leider mit einer Sternengruppe verwechselt.

!!Abell 14

Abell 14: An der richtigen Stelle wird mit OIII ein kleines, rundes Glimmen bei 255 fach sichtbar. An der Stelle steht leider auch ein schwacher Stern, der aber ohne Filter so schwach ist, dass er das Glimmen vermutlich nicht vortäuschen kann. Trotzdem bleibt die Beobachtung unsicher. Da muss ich morgen noch mal draufschauen.

Es ist wieder 6:30 Uhr und die Dämmerung setzt erstaunlich schnell ein. Zum Glück muss ich nur ein paar Sachen zusammenräumen und gönne mir anschließend noch ein Frühstück. In der Dämmerung sitze ich bei Wein und Käse und genieße den Himmel. Dabei muss ich feststellen, dass erneut Wolken von Westen kommend hereinziehen. Das ist aber jetzt wurscht. Wir haben diese Nacht unheimliches Glück gehabt, denn ursprünglich ist sie als total bewölkt vorhergesagt worden. Aber das interessiert mich jetzt nicht mehr. Ich bin einfach zu kaputt. Ich muss mich jetzt einfach erholen, denn die nächsten beiden Nächte werden auf jeden Fall klar sein.

[[<< Zurück zur vorangegangenen Nacht|17. September 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|19. September 2020 - La Palma]] 

Die folgenden drei Tage sind bewölkt, die Nächte auch. Die Umgebung ist sehr reizvoll und es lohnt sich wirklich ein paar Ausflüge zu machen. Hier oben im Gebirge liegen die Quellen vieler Flüsse, so zum Beispiel dem Fluss Segura.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/65Makba71X" title="Untitled"><img src="https://live.staticflickr.com/65535/52990668579_1e7fb8fb8d_k.jpg"/></a>

Wenn es regnet, versickern die Niederschläge relativ zügig im Unterboden. Daher liegen unter der Segura ausgedehnte Höhlensysteme und riesige zum Teil urzeitliche Wasserreservoirs. Da die Region im Südosten der spanischen Halbinsel relativ selten mit Niederschlägen bedacht wird, kann sie auch aufgrund der geringen Besiedlung praktisch auf unbegrenzte Wassermengen zurückgreifen.

Viele Dörfer sind sehr klein, wie Cerezo z.B. Das schützt einen aber nicht voridiotischen Aktionen, wie Skybeamer, die für ein paar Leute aufgestellt werden, wenn es eine Tanzveranstaltung gibt. Das zerstört nicht den gesamten Himmel, ist aber doch recht traurig unter Anbetracht der Tatsache, wie gut und dunkel der Himmel hier tatsächlich ist. Wer glaubt dies gäbe es nur in Spanien irrt. Selbst in der Rhön im Sternenpark kam das schon vor.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/h3jTKS26RT" title="Untitled"><img src="https://live.staticflickr.com/65535/52990877565_a881e8d199_k.jpg"/></a>

Dies ist auch die Straße, die auf die riesige unbesiedelte Fläche des Campo de Hernan Perea bzw. Pelea führt. Diesmal bin ich jedoch nicht dort gewesen. Der Nachthimmel ist dort tatsächlich heller als Richtung Osten, was an der nahen Cazorla liegt, von der doch etwas Lichtverschmutzung ausgeht. Das ist auch schon gut in der Light Pollution Map erkennbar.

Nördlich des Pinar ist der Himmel sogar laut der Map noch mal etwas dunkler, allerdings erreicht man keine Höhen mehr über 1500m üNN beziehungsweise wenn doch, liegen diese zu nah an kleineren Ortschaften.

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Eine von ihnen, Segura de la Sierra, hat sogar eine kleine Burg, die wohl nachts auch angestrahlt wird. Dies wird vermutlich in der Light Pollution Map nicht berücksichtigt. Interessanterweise ist die Burg als astronomischer Aussichts- und Beobachtungspunkt ausgewiesen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/P37WGpirp7" title="Untitled"><img src="https://live.staticflickr.com/65535/52995822692_4c5f6d0f3a_k.jpg"/></a>

Auf dieser Seite der Sierra werden auch intensiv Oliven angebaut.

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Die Landschaft ist in ein zartes grün getaucht, was aufgrund der Niederschläge im Mai und Juni zurückzuführen ist. 

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Die große Talformation hinter Santiago de La Espada fungiert auch als Wetterscheide. Große Tiefdruckgebiete kann sie natürlich nicht aufhalten. Aber gerade bei Hochnebelbildung verhindert sie häufig ein Übergreifen auf die Gipfellagen sowie den östlichen Teil der Sierra. Das gilt im übrigen auch umgekehrt.

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Im Abendlicht auf dem Weg zum Beobachtungsplatz über die Serpentinenstraße stellen sich immer wieder magische Momente ein.

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Sie werden gekrönt an einem Ort, der direkt neben der Straße liegt, und den Blick Richtung der Passstraße hoch zum Puerto de la Losa freigibt.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Y418310Vp4" title="Untitled"><img src="https://live.staticflickr.com/65535/52996305306_ac68eae085_k.jpg"/></a>

Magisch ist auch das Licht. Insbesondere dann, wenn die Sonne kurz vor dem Untergang steht. Sowas muss man einfach gesehen haben.


[[<< Zurück zur letzten Nacht|17. Juni 2023 - Pinar de Araceli]] | [[Weiter >>|21. Juni 2023 - Pinar de Araceli]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ET1urX" title="Erdschatten"><img src="https://live.staticflickr.com/65535/49765543552_e90ad4484e_k.jpg" alt="Erdschatten"></a>

So, eine Woche ist wieder rum. Einige klare Nächte auch. Ich habe sie dennoch nicht genutzt, da sie zum Teil bewölkt bzw. diesig waren. Nun bin ich wieder hier. Mein Sohn auch. Wir haben uns vorgenommen, sehr pünktlich loszufahren, um etwa zwei Stunden vor Sonnenuntergang am Platz zu sein.

Zuvor hat es die Nacht geregnet. Jetzt ist es aber wieder klar und der Himmel noch diesig. Der Wind wird laut Vorhersage zulegen. Aber diese Nacht wird davon noch nicht viel zu bemerken sein. Erst die nächsten Nächte ist strammer Ostwind mit zum Teil Sturmböen angekündigt.

Nun sind wir hier und der Wind ist doch recht stramm. Deshalb fahren wir die Straße entlang weiter runter und in etwa einem Kilometer Entfernung zeigt sich ein freier Platz mit dennoch guter Rundumsicht, der aber trotzdem windgeschützt ist. Er liegt hinter einer Kuppe, so dass wir vor dem Ostwind geschützt sind. Wir parken und bauen auf. 

Die Dämmerung dauert lange. Venus dominiert den Westhimmel, der durch einen Hang teilweise verdeckt ist. In dieser Richtung liegt auch die Lichtglocke von Frankfurt, so dass dies kein Verlust ist. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/wT86k5" title="DSC04434"><img src="https://live.staticflickr.com/65535/49798259168_93ccaf0ac9_k.jpg" alt="DSC04434"></a>Der Himmel an der Thüringer Hütte in der Rhön.

!!Starlink Satelliten ziehen über den Himmel

Zum Einbruch der astronomischen Dämmerung zeigen sich plötzlich Satelliten, die aus Südwest nach Nordost - wie an einer Perlenkette - über den Himmel ziehen. Praktisch jeder verursacht als er im Hoch im Westen steht einen „Flare“. 

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/32rv9m" title="Rhöner Himmel an der Thüringer Hütte"><img src="https://live.staticflickr.com/65535/49798100043_9fc80868c5_h.jpg" alt="Rhöner Himmel an der Thüringer Hütte"></a>Eine langbelichtete Aufnahme des Himmels. Süden ist unten und Norden ist oben. Die Sommermilchstraße steigt empor. Aufnahme mit STC-Lichtverschmutzungsfilter.</div>

Würde schätzen das einige von ihnen doppelt so hell wie die Venus sind. Das passiert zeitweise alle 30 sec. Manche davon sind so hell, dass die Umgebung kurz erhellt wird. Wahnsinn! Das Ganze dauert insgesamt 30-40 min. 

Hin und wieder ist eine Windböe zu spüren. Das Rauschen des umliegendes Waldes ist gut zu hören.

Im Zenit messe ich mit dem SQM-L 21.8. Um Polaris 21.78. Irgendetwas scheint mit diesem Gerät nicht mehr zu stimmen. Richtung Horizontaufhellung im Südosten sind es 21.3. Ich werde die Batterie wechseln. 

!!Komet C/2019 Y4 Atlas

Erstes Objekt ist der Komet C/2019 Y4 Atlas. Er befindet sich quasi in Auflösung bzw. zerfällt in Stücke.

<<<

!!Komet [[C/2019 Y4 Atlas]]:

Bei 65 fach gut zu erkennen. Sieht eher aus wie eine größere Galaxie. Kann bis auf über 430 fach vergrößert werden. Dann zeigt sich eine hellere Koma, die in drei versetzte Stücke auseinander gefallen ist. Dies ist allerdings schwer erkennbar - denn kaum heller - blitzen sie immer wieder auf. Dabei erscheinen sie im Vergleich zu den Feldsternen etwas diffuser. Der innere Schweif ist fast genauso hell wie der Kernbereich und reicht bis an zwei Feldsterne heran. Umgeben ist dieser von einer diffuse Hülle, die etwas weiter gespreizt nach Osten abgeht. Zur hellen Koma hin stumpf und stark abfallend. Erinnert irgendwie ein bisschen an ein Bild von einem Geschoss, das in ein Medium eindringt. Hellerer innere Teil schmal und leicht gebogen.
<<<

Das Seeing ist nicht überragend aber besser als vorhergesagt. Zeitweise wird es deutlich besser, um dann wieder einzubrechen. Dabei kann man dann direkt sehen, wie sich die Sterne im Okular adhoc aufblähen. Als nächstes beobachte ich eine Galaxie, die bereits vor einigen Jahren mein Ziel war. Das war im Jahr 2017. Dabei habe ich folgendes notiert.

<<<

!!Galaxie [[NGC 4449]]: 

„Sehr komplexe Galaxie. Erinnert mich an ein Insekt. Hat hellen Balken mit fast sternförmigen Zentrum. Etwas abseits zwei hellere Knoten. Am Ende des hellen Balkens Knoten mit weiterem abgesetzten diffusen Nebel. Auf der gegenüberliegenden Seite läuft die Galaxie diffus V-förmig aus und an deren Ende ein Vordergrundstern und ein hellerer Knoten zu sehen ist. Beidseitig hellere im 90° Winkel zum Galaxienkörper verlaufende Balken. Zum Teil wiederum mit Knoten durchsetzt. Insgesamt wirkt die Galaxie trotz 290 facher Vergrößerung relativ hell. UHC Filter bringt grundsätzlich keine neuen Erkenntnisse. Die zentralen hellen Bereiche bleiben weiterhin prominent.“

Die Bedingung in [[jener Nacht|27. März 2017 - La Palma]] - waren hervorragend. Beobachtungsort war La Palma.
<<<

Die SQM-L Werte steigen weiter an. Jetzt, d.h. um 02:22 Uhr liegen sie bei 21.9. Egal, ob das Gerät funktioniert, die Nacht ist gut. Sehr gut! 

!!Perfekte Nacht

Beeindruckend zeigt sich die Sommermilchstraße. Sie steigt schnell empor. Vor allem die helle Wolke im Scutum habe ich selten hier so in Erinnerung. Eigentlich gar nicht. M24 zeigt sich auch schon sehr gut mit bloßem Auge. Der Skorpion steht schon im Süden. Im Feldstecher ist M4 neben ihm gut zu erkennen. Apropos Feldstecher: Ich durchstreife die hellen Milchstraßenwolken im Schwan. Aber irgendwann ist tatsächlich Schluss. Vier Uhr. Die Dämmerung setzt ein. Ganz langsam. Zwei Stunden später in Frankfurt ist es bereits hell. Trotz Corona hat der Berufsverkehr zu Wochenbeginn wieder eingesetzt. 

[[<< Zurück zur vorangegangenen Nacht|11. April 2020 - Ostersamstag]] | [[Weiter zur nächsten Nacht >>|25. April 2020 - Lange Rhön]] 

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Blick von einer Anhöhe Richtung Westen.
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Aufenthalt verlängert sich. Wetterbesserung ist in Sicht. Zwar nicht grundlegend, aber doch so, dass mit Einschränkung (sehr hohe Luftfeuchtigkeit) beobachtet werden kann. Und dazu bin ich ja schließlich hier. Am Nachmittag beginnt es sogar zu regnen. 

<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:0px;">

![[NGC 6804]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 6804}}

</div>

Es scheint aber, als würden sich die Wolken Nachts auflösen. Das tun sie denn tatsächlich auch. Mond stört etwas. Geht erst gegen 23:30 Uhr unter. 

Ich nutze die Zeit um auf den nahe gelegenen Hügel zu klettern und mich umzusehen. Im Süden sind noch dichte Wolken um die höchsten Erhebungen zu erkennen. Es weht auch mitunter ein recht böiger Wind, der sich nach Abzug der Wolken legt und nur hin und wieder auffrischt. Ich mag diesen Ort unheimlich. Die Feuerwache wird nach dem Regen vermutlich heute nicht besetzt sein.
Erstes Objekt ist NGC 6572.

''NGC 6572, 23:30 Uhr:'' Sehr heller blaugrüner Nebel. Bei ca. 800-1000 fach homogen. Kein Ring sichtbar, trotz guten Seeings. Am schönsten bei 430 fach. Hat einen schwachen Halo.

[[NGC 6804]], 01:50 Uhr: Heller, recht großer, kometenartiger Nebel. Nordseite deutlich heller. Ab der Mitte diffus nach Süden auslaufend. Mit OIII geht Kometenform etwas verloren und es zeigt sich eher eine Ellipse. Der Nebel ist sehr hell und kann bis auf 430 fach vergrößert werden. Beste Vergrößerung bei 320 fach.

[[WLM - Wolf-Lundmark-Melotte & WLM 1|WLM - Wolf-Lundmark-Melotte]], 02:50 Uhr: So nochmal. etwa 2' westlich von WLM werden zwei schwache Sterne sichtbar. Einen hatte ich bereits vorgestern gesehen und gezeichnet. Der südlich stehende von beiden, scheint tatsächlich der KS zu sein. Als solcher nicht erkennbar. Kann indirekt auch nicht immer gehalten werden. Von Feldsternen nicht zu unterscheiden. Bei 114 & 168 fach wird zudem ca. 6' westlich die kleine nahezu runde Galaxie PGC 910901, als kleiner Nebel blickweise immer wieder sichtbar. Deutlich flächig und diffus und deshalb sehr gut von den Feldsternen zu unterscheiden. 

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;margin-top:15px;"><a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/20735173965/in/datetaken/" title="Clouds passing the Pinar de Araceli"><img src="https://farm6.staticflickr.com/5778/20735173965_86c5ae7038.jpg"  alt="Clouds passing the Pinar de Araceli"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Am Morgen kurz vor der Dämmerung. </div>

Beobachtung wegen Wolken immer wieder unterbrochen. Anschließend geht es noch weiter zu einer Superthin-Galaxie. 

''UGC 11994, 5:00 Uhr:'' Unscheinbare, recht kleine, schwache Galaxie in Kantenlage. Achsverhältnis 1:7. Keine Helligkeitszunahme zum Zentrum hin.

So, um eine neue Zeichnung anzufertigen fehlt mir die Zeit und die Lust. Daher geht es noch mal zurück zu einem Klassiker: M33. Schon mit bloßem Auge direkt sichtbar. Wie einfach! Dann im Teleskop. Einfach nur genießen. Das Licht ins Auge strömen lassen. Dabei werden die diffusen Ausläufer sichtbar. Wunderbar! 

Ich ahne, dass dies die letzte Nacht sein wird. Wenn überhaupt, geht nur noch morgen. Es sind Wolken angekündigt, aber das hatten wir ja schon oft die letzten Tage, inklusive kurzem Regen. Trotzdem ergab sich immer knapp eine Möglichkeit. Und ich habe sie immer genutzt. Jetzt ist aber wohl Schluss. Insgesamt gab es also sieben Beobachtungsnächte. Im Vergleich zu den im Mittel zehn der letzten Jahre trotzdem Ok. 

Und schon ist die Nacht zu Ende. Im Osten wird es schon wieder hell und dies wird die letzte Nacht sein. Zwar ist mir das jetzt noch nicht klar, aber am darauf folgenden Tag trüben sich die Wetteraussichten für die kommende Nacht wieder deutlich ein. Mittlerweile stört der Mond auch schon gewaltig und wird vor Mitternacht die Bühne nicht verlassen. 

Eine Nacht - mit ausreichend Schlaf - würde mir auch mal wieder gut tun.

[[Zurück zum Artikel >>|Spanien August 2015]]

Hohe Wolken sind angekündigt und sie treffen am Nachmittag tatsächlich auch ein. Aber das ganze sieht nicht so schlimm aus, als ob man nicht doch beobachten könnte. Ich bin nach den zwei Tagen eigentlich durch und brauche eine Pause. Aber ich raffe mich auf und bin wieder am Platz. Aber irgendwie ist heute die Luft raus, das spüre ich schon jetzt. Zunächst einmal bin ich zum Sonnenuntergang am „kahlen Baum“. Konnte ihn direkt nicht sehen und habe gedacht, dass er wohl gefällt worden ist. Ist aber offenbar doch nicht so, denn hinter ein paar Büschen erkenne ich ihn wieder. Er begleitet mich seit mittlerweile elf Jahren auf meinen Exkursionen an diesem Platz.

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Belohnt werde ich mit einem sagenhaften Sonnenuntergang und einem Farbenspiel aufgrund der hohen Wolken. Alles an Farben dabei, was man sich so wünscht.

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Im Osten geht der Erdschatten kräftig, blau auf und vermischt sich mit dem lila der darüberliegenden Wolkenband. Ein paar 100 m weiter sieht man die Hütten des ehemaligen Ferienkomplexes. Mittlerweile sind sogar die Türen und Fenster eingetreten und außerhalb des Geländes hab ich sogar einen Feuerlöscher gesehen. Offenbar waren hier Leute am Werk. Sehr schade, dass man dieses Gelände nicht nutzen kann, denn es hat auch einige asphaltierte Flächen, auf den man wunderbar beobachten könnte. Das Gelände ist allerdings verrammelt und verriegelt und eingezäunt. Kein durchkommen. Erst Tage später merke ich, dass die Zufahrt zum Komplex wieder offen ist, d.h. man könnte so auf das Gelände gelangen und tatsächlich dort nachts beobachten. 

Mittlerweile habe ich etwas Aufbaupraxis gewonnen. Das Gerät steht jetzt in weniger als 20 Minuten. Dabei ist die Ablage bei mir eine Katastrophe. Ich habe einen kleinen Koffer, in dem saust nur alles durcheinander. Vor der astronomische Dämmerung stelle ich direkt Jupiter ein. Das Bild sieht gut aus, allerdings „wabert“ der Planet wie die letzten Tage hochfrequent um seinen Mittelpunkt. Dann jedoch wird das Seeing deutlich besser und ich kann sogar ein spektakuläres Schauspiel beobachten, denn Io schiebt sich vor die Jupiterscheibe und ist als kleines, weißes Scheibchen vor der Jupiterscheibe sichtbar. Seinen Schatten müsste auch zu sehen sein, kann ihn aber leider nicht erkennen. Dafür scheint das Seeing doch so schlecht zu sein.

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![[Jupiter mit Io Transit]]

Planeten sind eine gute Alternative. Denn heute beobachte ich in der Rhön. Wie gemein! Ja, die Wolkendecke sorgt dafür, dass der gesamte Himmel seifig ist und natürlich aufgehellt. Wie in der Rhön halt.

Ich fertige schließlich eine digitale Zeichnung von Jupiter an. Zu erkennen sind neben den Wolkenbändern auch der Jupitermond Io, der vor die Jupiterscheibe tritt und als heller, weißer Fleck erkennbar ist. Sein Schatten müsste später auch sichtbar sein, da bin ich aber wieder weg. Habe das dann irgendwie verpennt. Später ist übrigens der Mond vor der Planetenscheibe nicht mehr zu erkennen. Dies scheint nur beim Ein- und Austritt der Fall zu sein.

Und ich bin angefixt! Weiter geht es schließlich zum Mars. Aber der sieht nicht so gut aus. Viel zu hell und leider ist das Seeing wieder schlechter geworden. Echt blöd. Was mich echt stört ist, dass der Planet viel zu hell ist. Aber Graufilter hätte ich dabei. Macht aber aufgrund des Seeings dann im Moment keinen Sinn.

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Mit Übersichtsvergrößerung surfe ich schließlich ein paar Sachen an. Nix spektakuläres. Dinge, die man halt so macht wenn hohe Wolken durchziehen. Was mir auffällt, ist allerdings die Tatsache, dass viele Objekte im Okular gar nicht mal so schlecht aussehen, so auch M 33. Natürlich fehlt etwas Kontrast aber in der Rhön würde das ganze unter sehr guten Bedingungen vermutlich auch so aussehen. Man könnte jetzt natürlich offene Sternhaufen machen, zum Beispiel die im Fuhrmann. Denke auch kurz da dran, aber verwerfe die Idee. Ich bin einfach zu fertig.

[[<< Zurück zur vorangegangenen Nacht |18. Dezember 2022 - Pinar de Araceli]] | [[Weiter zur nächsten Tag >>|20. Dezember 2022 - Sierra de Segura]]

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Heute stört der Mond das erste Mal. Geht um 21 Uhr aber früh unter. Seeing ist heute wieder Kacke, denn der Wind will nicht weichen. Ab zwei Uhr morgens soll er dann zurück gehen. Morgen dann kein Wnd mehr. Vielleicht geht es dann ja mal wieder auf den Roque. Bin wieder am verlassenen Haus in den Weinbergen auf ca. 1300m üNN. Am Reventon war es mir dann doch zu heiß. Wenn der Wind dann mal wieder loslegt...Wegen des frühen Abbruchs gestern, mache ich heute nochmal eine Zeitrafferaufnahme des kleinen Bären. Die fünfte? Egal. Möchte einfach mal das Ganze aufnehmen...vom “Dusk Till Dawn“

Letzter Check. Seeing weiter Mist. Also wieder große Nebel anfahren.

Erstes Objekt ist dann NGC 1999. Ist „Objekt des Monats“ gewesen. 

[[NGC 1999]]: Schlüssellochnebel. Macht seinem Namen alle Ehre. Schönes Objekt. Es zeigt sich ein nicht ganz runder Nebel bei 40 bzw. 65 fach, in dessen Mitte ein Stern zu erkennen ist. Grenzt direkt an M42 an. Kann bis auf 430 fach vergrößert werden und ist dabei noch ausreichend hell. Es zeigt sich dann ein in den hellen Nebel eingebetteter Dunkelnebel in Form eines Schlüssellochs. Nach Westen hin ist ein von fast N-S verlaufender Schlauch, der nach Osten hin eine Ausbuchtung hin zeigt, zu sehen. In Form und Größe nimmt die Ausbuchtung etwa die halbe Länge des Schlauchs ein. Wie ein Mexikaner-Hut von der Seite betrachtet. Etwas abseits der Hutspitze steht der helle Stern, der offenbar den Nebel beleuchtet. Gegenüberliegender Teil der Hutspitze zeigt helleres gut abgrenztes Segment. Der äußere Teil des Reflexionsnebels ist recht hell und nach Osten hin, auf der Seite de Sterns, deutlich heller. Am Stern selbst geht in ungefähr östlicher Richtung hin zum „Schlauch“ eine helle Fahne ab, die direkt an den Außenbereich des Dunkelnebels stößt. Das Seeing ist zwar insgesamt schlecht, zeigt aber im wieder „gute“ Momente. Seeing 3-4. Phasenweise 2. Herbig-Haro Objekte wegen variablen Seeings nicht versucht.

Sehr positiver Beginn der Nacht. Das SQM-L ist bereits bei 21.7 angekommen.

[[HCG 10]]: Vier NGC Galaxien bilden diese schöne Gruppe. NGC 529 scheint mir die hellste. Sternartiges Zentrum und mit deutlicher Helligkeitszunahme zum Zentrum hin und diffus auslaufend. Form rund bis leicht oval. Steht etwas abseits während die anderen drei sehr kompakt stehen, und zwar um NGC 536, die nur wenig schwächer ist als 529 und auch eine Helligkeitszunahme zum Zentrum hin aufweist, die aber nicht so stark ist wie bei 529. Nahe dem Zentrum zwei schwache Vordergrundsterne. Form der Galaxie spindelförmig. Die nächste und schwächste ist NGC 542. Ist zigarrenförmig und gerade so bei 290 fach noch auszumachen. Keine Helligkeitszunahme zum Zentrum hin. Das gleiche bei NGC 531, die etwas heller und größer ist. Schätze doppelt so groß bzw. lang wie NGC 542. Vergrößerung 290 fach wo alle Galaxien noch in einem Gesichtsfeld liegen. Seeing 4, zeitweise aber 2.

<<<Hickson 10 (Hickson Compact Groups - HCG 10)

Vier NGC Galaxien bilden diese schöne Gruppe, wobei NGC 529 die hellste ist und etwas abseits von den restlichen drei steht, die wiederum recht kompakt stehen. Es handelt sich um eine der helleren Hickson-Gruppen, die vom gleichnamigen Astronomen in einer Liste mit 100 Einträgen zusammengestellt worden ist und kompakte Galaxiengruppen enthält. NGC 529 zeigt ein sternartiges Zentrum mit deutlicher Helligkeitszunahme zum Zentrum hin und läuft diffus aus, wobei sie rund bis leicht oval erscheint. NGC 536 ist nur wenig schwächer als 529 und wird ebenfalls zum Zentrum hin heller, aber nicht so stark wie bei 529 ist. Nahe dem Zentrum sind zwei schwache Vordergrundsterne zu erkennen, wobei der Galaxienkörper spindelförmig erscheint. Die nächste und schwächste ist NGC 542. Sie zeigt sich zigarrenförmig und ist gerade so bei 290x noch erkennbar, wobei sie keine wahrnehmbare Helligkeitszunahme zum Zentrum hin zeigt. Das gleiche gilt bei NGC 531, die etwas heller und größer ist. Sie ist geschätzt doppelt so groß bzw. lang wie NGC 542. Bei einer Vergrößerung von 290x liegen alle Galaxien noch in einem Gesichtsfeld.
<<<


[[NGC 1333]]: Bei 40 fach als abgehende Fahne um einen recht hellen Stern zu erkennen. Kann bis auf 290 fach vergrößert werden. Optimale Vergrößerung allerdings bei 168 fach. Dann zeigt sich ein erdnussförmiger Nebel, begrenzt durch den hellen Stern und auf der anderen Seite durch einen deutlich schwächeren. Im Nebel sind recht einfach zwei weitere Sterne, sowie mit Mühe zwei weitere bzw. ein weiterer außerhalb, zu erkennen. Nach geduldiger Beobachtung zerfällt der Nebel in unterschiedlich helle Bereiche, wobei der hellste um den hellen Stern liegt mit einer nordöstlich abgehenden kleinen Fahne. Der Nebel erstreckt sich dann fast rund um den hellen Stern und läuft diffus südlich mit relativ scharfer Kante diffus auf das bereits erwähnte Sternenpaar zu. Von hier aus wird er wieder stärker, gebogen Richtung Südwesten, wo er auf die Begrenzung durch den etwa gleich hellen Stern trifft, der wieder von einem helleren Nebelsegment hin Richtung dieser beiden Sterne zeigt, umgeben ist. Dahinter folgt eine kaum wahrnehmbare weitere Nebelkante. Zurück in Nordöstlicher Richtung zum hellen Stern hin verläuft der Nebel konkav und zeigt zwei helle Segemente. Insgesamt ist er auf dieser Strecke aber deutlich schwächer. Fast südlich steht ein heller Stern, der ebenfalls von Nebel umgeben scheint. Herbig-Haro Objekte nicht probiert, da viel zu schwach.

Der Wind ist immer noch zu hören. In höheren Lagen scheint er noch gut zu wehen. Die Wetterstation auf dem Roque zeigt noch satte 50 km/h an. Dabei soll der Wind ab zwei Uhr morgens doch zurückgehen.

[[NGC 1579]]: Groß und relativ hell, so daß er ohne Probleme bis aus 290 fach vergrößert werden kann. Dann zeigt sich in einem Sternentrapez, bestehend fast sämtlich aus Paaren, ein V-förmiger Nebel. An der Spitze deutlich heller mit drei erkennbaren Knoten, die in einem hellen Schlauch eingebettet sind. Von dort dann weit, diffus auslaufend, wobei Kanten leicht heller sind. Am südlichen Ende an der Kante des Trapez helleren diffuser Bereich. Markiert das Ende der südlichen Kante. Die westliche weist ebenfalls eine hellere diffuse Fläche auf, die aber schwächer ist und näher zum Zentrum hin liegt. Der Zwischenraum ebenfalls mit hellerer Fläche, Rest diffus. Insgesamt wirkt der Nebel von der Form dreieckig mit fast gleich langen Seiten. Filter wirken hier nicht. Deshalb ohne Filter beobachtet. 168 fach und 290 fach.

<<< NGC 1579 - „Trifid des Nordens“

Ein weiterer interessanter Nebel ist NGC 1579, der am zweiten Weihnachtsfeiertag im Jahr 1788 von William Herschel entdeckt worden ist. Der Nebel befindet sich etwas abseits der Wintermilchstraße im Sternbild Perseus. Aufgrund seiner Form wird er auch als Trifid-(nebel) des Nordens bezeichnet in Anlehnung an sein südliches Pendant im Sternbild Schütze.

NGC 1579 ist relativ groß und auch hell, so dass er auch stärker vergrößert werden kann, was im Falle eines 14 Zöllers gerne 290x sein können. 
Es zeigt sich in einem Sternentrapez, bestehend fast sämtlich aus Paaren, ein V-förmiger Nebel. An der Spitze deutlich heller mit drei erkennbaren Knoten, die in einen hellen Schlauch eingebettet sind. Von dort dann weit, diffus auslaufend, wobei die Kanten leicht heller sind. Am südlichen Ende der Kante des Trapezes ist ein hellerer, diffuser Bereich zu erkennen, der das Ende der südlichen Kantenende markiert. Die westliche Kante weist ebenfalls eine hellere diffuse Fläche auf, die aber schwächer ist und näher zum Zentrum hin liegt. Der Zwischenraum ist ebenfalls mit heller Teilfläche, der Rest zeigt sich diffus. Insgesamt wirkt der Nebel von der Form dreieckig mit fast gleich langen Seiten. Filter wirken hier nicht, denn es handelt sich um einen Reflexionsnebel.“

<<<

SQM-L 21.62 um 01:40 UT. Mit bloßem Auge kann ich 15 Sterne in den Plejaden ausmachen, d.h. Zu den sieben immer sichtbaren acht weitere. Interessant.

Der ''Halo um Jupiters Geist'' ist das nächste Objekt. Habe ihn bereits vor einem Jahr ins Auge gefasst. Ebenfalls mit 14 Zoll auf dem Roque. Leider nichts erkannt. Erst in Namibia mit 25 Zoll gelang mir eine erste Sichtung. Jetzt will ich schauen, ob das nicht doch auch mit 14 Zoll geht.

''Halo um Jupiters Geist - NGC 3242'': Bei 65 fach und OIII-Filter wird an der richtigen Position sofort ohne wenn und aber ein diffuser, ovaler Nebel sichtbar. Uff! So einfach. Ja. Mit etwas Geduld zeigt sich dann noch der nördlich abgehende Schweif. Kurz, etwas schwächer. Bin ganz baff. Ohne Augen zu verrenken. Seeing 4.

Ich denke vor einem Jahr habe ich an der falschen Position geschaut. Man muss aufpassen und NGC 3242 bewusst ausblenden, da das helle Objekt weit ins Feld überstrahlt. SQM-L 21.72 im Kasten des großen Wagens, wo es jetzt sichtbar am Himmel am dunkelsten ist. Seeing bleibt schlecht. Wind, immer noch deutlich hörbar in höheren Lagen, lässt nicht nach. Bei mir am Platz windstill. Am Reventon würde ich vermutlich jetzt wegfliegen.

!!Astronomie mit bloßem Auge & Feldstecher

M46 & M47 sind einfach zu erkennen. M47 ist sehr einfach. Wie auch M41. M46 ist etwas schwieriger. Im Vergleich dazu sind M37, M36 & M38 recht schwer zu erkennen. Dabei scheint M38, dann M36 und M37 in dieser Abstufung bzgl. Schwierigkeitsgrad mit bloßem Auge sichtbar. Die Unterschiede sind sehr gering. Wenn man nicht weiß wo sie stehen, kaum auszumachen. Trotzdem mit bloßem Auge machbar. M81 ist auch schwer, aber auch mit bloßem Auge erkennbar, wenn man die Position kennt. Dabei ist ein kleiner, diffuser Schimmer zu erkennen. Parallel surfe ich mit dem Feldstecher. Den benutze ich viel zu selten, obwohl ich ihn immer dabei habe. So fällt mir auch NGC 2360 auf, der in dreifachem Abstand von M46 & M47 steht und als kleiner, heller, unregelmäßiger, heller Nebel erscheint. Die südliche Milchstraße im Sternbild Puppis ist einfach nur toll. Sogar Dunkelnebel sind im Feldstecher trotz des tiefen Stands zu erkennen. Dann fällt mir wieder das zu M46 & M47 analoge Paar, NGC 2477 & 2451 auf. In meiner Anfängerzeit, als ich auf dem Roque Mittelformatfotografie auf analogem Film machte und während einer Aufnahme mit dem Jenoptem den Himmel abgraste, fiel mir dieses schöne Paar, was ich dann auch häufiger mit M46 & 47 verwechselte, immer wieder auf. Es ist einfach nur verblüffend, dass sich diese Paare am selben Himmelsabschnitt so wieder finden. Ohne richtige Klamotten stets im Roquewind stehend und häufig Schutz im Auto suchend, verbrachte ich so viele Nächte. Die Ergebnisse waren leider überschaubar. Immer ging irgendwas schief und wenn nicht versaute der Wind die Aufnahme oder der ST4 Autoguider. Bewegt man sich von M47 aus weiter östlich, stößt man unweigerlich auf M93. Der offene Sternhaufen ist ebenfalls mit bloßem Auge gut erkennbar. Im Feldstecher ist bereits die markante, fast N-S verlaufende, Sternkette sichtbar und dort 3-4 Sterne aufgelöst. Direkt im Anschluss, nur durch einen hellen Stern getrennt, findet man NGC 2467, einen kleinen, runden, zum Zentrum hin heller werdenden, diffusen Nebelball, südlich einer markanten Sternkette, die man fälschlicherweise ebenfalls leicht für einen Sternhaufen halten kann. Aber in den Karten ist hierzu nichts vermerkt, so daß man davon ausgehen muss, hier einfach eine dieser wunderbaren Sternansammlungen der Milchstraße vor sich zu haben. Aber es geht sogar noch weiter. In etwa gleichem Abstand folgt NGC 2483. Noch schwächer als der Vorgänger und kleiner. Leichte Helligkeitszunahme zum Zentrum hin. Auch hier sind keine Einzelsterne zu erkennen. Kann im Feldstecher leicht übersehen werden. Nordöstlich wird dann aber wieder was für das Auge geboten: NGC 2527. Dieser schöne offene Sternhaufen zeigt im Feldstecher etwa ein Dutzend Sterne und wirkt dabei schön aufgelöst. Im Randbereich, nördlich ist der hellste Stern zu sehen. Insgesamt zeigt der Sternhaufen eine ovale Grundform, wobei die längere Seite N-S ausgerichtet ist. 

!!Gegenschein ist neben M44 zu sehen 

Der Gegenschein ist zwischen der Praesepe M44 und Pollux als ovale, diffuse Aufhellung erkennbar. Im Südosten wird bereits in Horizontnähe der Himmel deutlich heller und das noch schwache Zodiakallicht strebt in einem schwachen, sich zuspitzenden Bogen dem Gegemschein entgegen. Dahinter lässt sich das mittlerweile untergegangene Abendzodiakallicht nicht mehr erkennen. Die Wintermilchstraße in den Zwillingen überstrahlt das gesamte westliche, horizontnahe Himmelsareal. Dabei fällt auf, dass sich die Milchstraße deutlich abgeschwächt hat, offenbar der schwindenden Transparenz des Himmels in Horizontnähe geschuldet, der allen Objekte das Licht raubt. Der Wind ist auf dem Roque endlich zurückgegangen. Leider ist das Seeing dadurch nicht besser, sondern noch schlechter geworden! HHmmm... Dann liegt das Problem vermutlich beim Jetstream. Und morgen wird es nicht besser werden. Erst übermorgen.

!!M51 sieht traumhaft aus 

Es ist fünf durch. Ich schwenke auf M51. Bei 168 fach bleibt mir die Spucke weg. Ganz ruhig und entspannt betrachte ich mir dieses Wollknäuel. Acht, vielleicht auch mehr Vordergrundsterne in der Galaxie selbst bzw. knapp außerhalb sind erkennbar. Einige immer nur blickweise, wenn das Seeing es erlaubt. Die Spiralarme winden sich um das helle Zentrum und haben abschnittsweise immer wieder helle Abschnitte. Die Brücke zum Begleiter kann ich indirekt gut halten. Einfach traumhaft. Ich denke ich packe ein, Voll durchziehen macht keinen Sinn. Doch ich haue jetzt einfach mal 430 fach rein. Und siehe da. Nix zu dunkel. Alles kann sogar noch gut erkannt werden, insbesondere die schwächeren Bereiche. Kein Absaufen. Wunderbar.

Ich versuche nochmal M83. Die Spiralarme sind bei 168 fach sehr schön zu erkennen. Details aber, nicht. Das Seeing ist einfach zu schlecht, insbesondere in niedriger Höhe. So bleibt mir nur die Sachen einzupacken. Zum Schluss habe ich auch endlich eine perfekte Zeitrafferaufnahme von Polaris im Kasten, die parallel die ganze Nacht lief. Endlich! Es ist auch sechs Uhr morgens. In 40 min wird die Dämmerung einsetzen. Wunderbare Nacht, wenn nur das Seeing nicht so schlecht gewesen wäre. Noch eine SQM-L Messung im Kasten des Großen Wagen: 21.82. Nicht schlecht.

[[<<Zurück zur vorangegangenen Nacht|18. Januar 2018 - La Palma]] | [[Weiter zur nächsten Nacht >>|20. Januar 2018 - La Palma]]

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Heute beobachte ich nicht. D.h. nicht, daß ich nichts mache. Ich werde heute einige Testaufnahmen mit dem neuen Clip-Filter machen. Möchte den optimalen Fokuspunkt bestimmen. Habe ich zwar gestern auch schnell gemacht. War aber eher Herumprobieren. Dann werde ich ein Timelapse machen. All Sky wahrscheinlich. Zwar gibt es Wolken, aber auch Lücken. Der Roque ist heute nichts. Wind ist angekündigt und die Transparenz wegen den hohen Wolken eh nix. Da kann man auch unten bleiben. Feldstecherbeobachtungen würden aber gehen. Die Lücken in den dichten Wolken sind recht groß. Mal sehen, was ich machen werde. Am Ende mache ich nichts. Ausruhen ist angesagt. 

Gegen Morgen werden ich wach. Mist es regnet! Schnell die Kamera in Sicherheit bringen. Denn die ist draußen und macht ein Timelapse. Dann gehe ich erstmal wieder ins Bett und schlafe weiter. Der Tag ist schön mit viel Sonne. Der Wind legt leider zu und gegen abend ist er richtig stark. Auf dem Roque sieht es nicht viel besser aus. Der Wind dreht auf NW und legt mächtig zu. Morgen werden Sturmböen erwartet. Hoffe, dass dies morgen früh sein wird und nicht am Abend. Trotz des Windes ist das Seeing lt. den Seeingmonitoren des IAC passabel. Um die 1.5“, keine 3“ oder darüber. Das ist interessant, denn bei so einem Wind aus anderen Richtungen, z.B. NE, ist das Seeing dann richtig mies. Morgen bin ich mit einem Beobachtungskumpel verabredet. Hoffe, daß das Wetter mitspielt. Die hohen Wolken sind jetzt schon weg.

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<<list-thumbnails filter:"[tag[Video Januar 2020]]" width:"168" height:"95">>
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Das Video zeigt auf jeden Fall eindrucksvoll, dass selbst auf La Palma von den dichter besiedelten Orten wie Los Llanos, El Paso oder St. Cruz z.T. erhebliche Lichtverschmutzung ausgeht.

[[<< Zurück zur vorangegangenen Nacht|18. Januar 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|22. Januar 2020 - La Palma]] 

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/35871510312/in/datetaken-public/" title="Pause"><img src="https://live.staticflickr.com/4330/35871510312_7efc8006d2_h.jpg" alt="Pause"></a>Eine Pause muss auch mal sein.</div>

Fahre am Morgen los. Zimmer im [[Hotel Escobar|http://www.hotelescobar.com]] * habe ich am Vortag schon reserviert. 30 € pro Nacht im Einzelzimmer. Billiger geht es im Hotel [[Puerta de Andalucia|http://puertadeandalucia.com]] wo man schon für 20 € unterkommt. Die 10 € sind aber gut angelegt, da hier die Unterkunft viel kleiner und gemütlicher ist. Ruhiger auch. In beiden gibt es kostenloses Internet. Der eine Stern des Escobars sind locker zwei. Der Standard ist gut. Die Zimmer hier sind klein, aber Ok. Es gibt einen großen Gemeinschaftsraum, wo man die Nächte gut vorbereiten kann. Besser noch unten in der Bar oder am Tisch an der Straße. Dort ist man häufig ungestört.

Baue an der Viehtränke auf, da der Wind doch heftiger ist. Legt sich dann aber wieder. Habe sogar noch Zeit ein Bierchen zu trinken. Die Dämmerung dauert nämlich hier auch recht lange, trotz der ca. 38 Grad nördlicher Breite. Stelle während der Dämmerung Jupiter ein. Na ja, geht besser. Kann aber auch vom noch nicht ausgekühlten Spiegel kommen. Saturn, obwohl sehr tiefstehend, sieht aber sehr gut aus. 

Der Himmel ist leider nicht optimal. Leicht aufgehellt, obwohl das SQM-L 21.7 im Zenit anzeigt. Der Horizont zeigt nur geringe Lichtverschmutzung, aber sie ist erkennbar. Tja, Namibia ist halt wirklich dunkel und das bis zum Horizont. Einfach Schade, dass wir das in Europa nicht mehr haben. 

NGC 6401: Kleiner, unscheinbarer KS direkt in der Nähe des Pfeifennebels. Bei unterschiedlichen Vergrößerungen scheint der KS angelöst, aber selbst bei 420 facher Vergrößerung nicht definitiv aufgelöst. Grießig ist das Zentrum aber schon. Östlich des Zentrums heller Stern, der noch innerhalb des Haufenquerschnitts liegt, was aber nur bei niedriger Vergrößerung zu sehen ist, so z.B. Bei 114 fach. Deutliche Helligkeitszunahme zum Zentrum hin.

[[Hubble 4]] oder Henize 2-266: Kleiner, heller Nebelball bei 420 fach. Bei 114 fach noch sternförmig. Reagiert gut auf OIII. Bei 800 fach ist ein Ring zu erahnen. Bei über 1000 fach dann sicher, zwei helle Knoten Südöstlich bzw. Nordöstlich. Südöstlicher ist eindeutig etwas heller und einen Ticken ausgedehnter. Inneres neblig. Seeing ist sehr gut in Anbetracht der Vergrößerung und des doch recht niederigen Stands. Praktisch nur während der Kulmination gut beobachtbar, da die hohe Vergrößerung sonst gar nicht handelbar ist. Gehe noch mal auf 420 zurück und schraube den OIII-Filter rein. Und tatsächlich ist der Ring auch bei dieser Vergrößerung schon erahnbar. Der zigarrenförmige Halo ist nicht zu sehen. Dann bricht das Seeing ein. SQM-L 21.7 im Zenit. Seeing 1-2.

Mit bloßem Auge und ohne Brille wackeln plötzlich alle Sterne. Und das nicht nur am Horizont. Nach einer kurzen Pause wird das Seeing wieder besser. In der Nähe steht auch noch ein weiterer interessanter Nebel NGC 6369. 

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35202310354/in/datetaken-public/" title="Seeing Vorhersage Meteoblue Screenshot"><img src="https://farm5.staticflickr.com/4295/35202310354_9ae52e3c62.jpg" alt="Seeing Vorhersage Meteoblue Screenshot"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Seeingvorhersage von Meteoblue.com
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[[NGC 6369|NGC 6369 - Little Ghost Nebel]]: Deutlich größer als Hubble 4. Schon ohne Filter bei 65 fach als farbloser, winziger Nebel erkennbar. Bei 420 und mithilfe eines OIII-Filters zeigt sich ein Ring, der leicht oval ist und im Süden ein helles Segment mit Knoten im Südwesten hat. Das Segment setzt sich westlich kurz fort, um dann eine kaum merkliche Unterbrechung zu zeigen. Südlich schließt sich symmetrisch ein ebenso ausgedehntes und geformtes, leicht geradliniges Segment ohne Strukturen an. Es ist deutlich schwächer als sein nördliches Pendant. Östlich zeigt sich dann wieder eine Unterbrechung. Innere ist mit diffusem Nebel gefüllt. Westlich ausserhalb zeigt sich ein diffuser Halo als Nebelbalken. Östlich ebenfalls diffus, aber kaum merklich. OIII-Filter zeigt den Nebel insgesamt leichter, da kontrastreicher. Prinzipiell aber auch ohne Filter gut beobachtbar. Seeing 2-3. 

Im Unterholz knackt es. Ok. Hier ist etwas unterwegs. Ob es zur Tränke will? Das Knacken der Äste irritiert mich, da es recht laut ist und ich vermute, dass die Äste...na ja, dass die Gesellschaft nicht so klein sein kann. Auf der anderen Seite hört man nachts noch besser. Ich verkrümele mich erst mal ins Auto. Dann wieder raus. Mist! Die Innenbeleuchtung ist angegangen.

[[Kohoutek 1-16]]: Kreisrund und recht groß. Bei 114 fach und OIII als ganz schwacher Nebel um einen recht hellen Stern. Indirekt taucht der PN dann recht sicher auf. 290 fach auch probiert. Geht auch, allerdings ist das Objekt an der Wahrnehmungsrenze. In direkter Nähe steht ein Quasar, der etwa genauso hell wie der ZS ist. 

Zum Schluss gibt es Minkowski 1-92 oder "Minkowski's Fußabdruck". Es zeigt sich bei 420 facher Vergrößerung ein heller Stern mit einem ovalen Nebel. Auf den ersten Blick wie ein Doppelstern. Müsste ich noch höher vergrößern aber das Seeing ist leider zu schlecht. Nun gut. Das reicht für's Erste.

<!-- Ein Wort zur Seeingvorhersage von meteoblue.com. Es wurde sehr gutes Seeing vorhergesagt. Allerdings war es dann in der zweiten Nachthälfte deutlich schlechter, was sich aber teilweise auch mit der Vorhersage bzgl. des zunehmenden Jetstreams deckt. Sollte meine Interpretation korrekt sein, wird es kommende Nacht noch schlechter. Das macht aber nichts. Ich habe mittlerweile zwei Beeobachtungslisten: Eine für gutes und eine weitere für schlechtes Seeing. --> Lt. Seeingmonitor des Calar Alto startete die Nacht in der Tat exzellent, mit [[0.2"|http://w3.caha.es/SEEING/HISTORIC/hgrafica.php?dd=19&mm=07&yy=2017]], was definitiv zutraf. Mal sehen wie es weiter geht. Auf der Abfahrt läuft mit fast ein Wildschwein vor das Auto. Es kommt einfach über die Straße gelaufen und verschwindet wieder im Dickicht.

[[<<Zurück zum Artikel|Pinar de Araceli Sommer 2017]] | [[Weiter zur nächsten Nacht >>|20. Juli 2017 - Pinar de Araceli]]

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Tagsüber wieder - wie immer - sehr windig. Jetzt aber zum Sonnenuntergang fast komplett abgeflaut. Transparenz heute deutlich besser. Zunehmender Mond. Mondsichel ganz schmal heute. Nach Neumond das erste Mal sichtbar.

''PGC 19441 - Carina Dwarf, 18:45 Uhr:'' Das Objekt liegt in einem reichen Sternfeld und ist so groß, dass es bei minimaler Vergrößerung fast das gesamte Gesichtsfeld einnimmt. Beim Durchschwenken leider nichts zu erkennen.

''SMC, 19:10 Uhr:'' Es ist immer wieder beeindruckend in der SMC zu surfen. Insbesondere die Tatsache dass man ständig über Kugelsternhaufen unterschiedlicher Helligkeit, aber häufig ähnlicher Größe stößt.

Nach der obligatorischen Pause, d.h. Abendessen, geht es gegen 20:20 Uhr weiter.

''CG4 - "Hand Gottes", 21:55 Uhr:'' CG 4 auch bekannt als "Hand Gottes" mit der Galaxie PGC 21338. Die Galaxie ist einfach zu sehen. Kantenlage und etwa 1:4 Elongation. Nach Westen erstreckt sich ein praktisch sternleeres Gebiet, das circa 30 Bogenminuten groß ist. Bei minimaler Vergrößerung von 100 fach und maximaler AP und UHC-Filter wird dann circa acht Bogenminuten in westlicher Richtung eine schwache, relativ große, geisterhafte, bogenförmige Aufhellung sichtbar. Vom restlichen Nebel nichts gesehen. UHC Filter scheint am besten zu funktionieren. Für die Galaxie hingegen ist eine Vergrößerung von 180 fach ideal.

''M16 - "Säulen der Schöpfung", 22:25 Uhr'': Gegenüber vom Sternhaufen liegen mitten in M16 die "Säulen der Schöpfung". Bei 300 fach ragen Sie als dunkle Säule in den hellen Nebel hinein. Zusammen mit dem angrenzenden Dunkelnebelgebiet sieht das Ganze dem berühmten Pfeifennebel nicht ganz unähnlich.

Dies war eine der wenigen Beobachtungen, die ich nicht allein getätigt habe, da einer der Astrofotografen mich besuchen kam. Aber schon ist der wieder auf dem Sprung um den Fokus zu checken.

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![[Longmore 5]]

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{{Longmore 5}}

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![[Abell 72]]

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{{Abell 72}}

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''Longmore 5, 01:05 Uhr'': Runder, relativ großer, ringförmiger Planetarischer Nebel. Schon ohne Filter ist der Nebel als Aufhellung bei hundertfach sichtbar. Bei 180 und 280 fach gut beobachtbar. Selbst bei 280 fach ohne Filter bleibt er schwach erkennbar. Mit OIII zeigt sich der Nebel kontrastreich als Ring, wobei die NW-Seite auf circa 90° schwächer ist und leicht diffus ausläuft. Insgesamt zeigt sich aber trotzdem ein geschlossener Ring. Die hellsten Sterne im Nebel befinden sich auf seinem Rand. Lediglich ein Stern ist leicht abseits der Ringmitte erkennbar. Er ist indirekt immer wieder aufblitzend zu sehen.

Die Zeichnung hat mich wieder fast 2 Stunden gekostet. Ich muss langsam mal auf die Tube drücken, sonst verpasse ich hier noch einige Objekte.

''Abell 72, 3:55 Uhr:'' Wunderbar im 25 Zöller. Der Nebel wird mit OIII-Filter bei hundertfacher Vergrößerung einfach sichtbar. Bei geduldiger Beobachtung und ab 180 facher Vergrößerung scheint das Innere dunkler zu sein, so dass sich ein Ring zeigt. Die Galaxie zeigt sich am besten bei 280 facher Vergrößerung außerhalb des Nebels in der Nähe eines schwachen Doppelsterns. Passant bestätigt die Sichtung der Galaxie und deren Orientierung.

Ich mache schließlich aufgrund der guten Transparenz noch ein Pano mit dem im Osten stehenden Zodiakallicht. Dann ist es auch schon 4:30 Uhr und ich beschließe das letzte Objekt einzustellen. Und das sollte es in sich haben!

''NGC 253, 4:50 Uhr:'' Unglaublich! Diese Galaxie topt alles. Lang gestreckt und im Zentrum stark strukturiert. Kann ohne Probleme bis 280 fach vergrößert werden, ohne dass das Objekt zu dunkel wird. 

Ein guter Abschluss für diese Beobachtungsnacht. Im Osten drückt schon die Dämmerung.

[[Weiter zur nächsten Nacht>>|20. Mai 2015 Tivoli]]

Das Programm für die erste Nacht sieht folgendermaßen aus: zunächst eine Nachschau vom letzten März, NGC 1360 auch bekannt unter Jupiter's Geist. Ein echter Dauerbrenner seit Januar 2017. Ziel ist der schwache Halo, der sicher mit [[20" gehen soll|http://www.deepsky-visuell.de/Zeichnungen/NGC3242_Halo.htm]]. Mit 14" bin ich aber selbst unter sehr guten Bedingungen gescheitert.

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Alles ist aufgebaut. Die Kamera schießt Strichspuraufnahmen. Es wird bereits um 18:15 Uhr vollständig dunkel. 
Seeing ist leider nicht so gut. Erstes Beobachtungsobjekt ist Jupiter. Schaut jetzt erstmal nicht so gut aus. Dann die Magellanschen Wolken. Die Kleine kratzt am Horizont. Die Große schaut Super im 10x50 Feldstecher aus. Dann der Tarantelnebel. Wunderbar!

''Tarantelnebel'': Bereits mit bloßem Auge als rundes, nebliges mit stellarem Kern sichtbares Objekt. Im 10x50 erscheint der Nebel fast wie ein Kugelsternhaufen. Bei 100fach im 25 Zöller zeigt sich ein heller Nebel mit hellen Arme, die wie Tentakeln aus dem Zentrum abgehen, wo sich etwas abseits ein kleiner, unscheinbarer, offener Sternhaufen befindet, der einen recht hellen Stern beherbergt. Die Arme zeigen Struktur und das ohne Verwendung von Filtern.

Das SQM-L zeigt zunächst Werte um 21.73 an, die aber gegen 19:30 Uhr auf 21.83 hoch gehen. Die Temperaturen fallen schnell auf 8° Celsius. Später dann gegen 22:30 Uhr nur noch 6° Celsius und 21.92 im Sternbild Jungfrau. Leichter Wind aus Nord.

''NGC 3242 - Jupiter's Geist:'' Bei 670 fach und brauchbarem Seeing ist der hellgrüne PN mit seiner Inneschale und dem markanten hellen Knoten, sowie den Auswürfen darüber und auf der gegenüberliegenden Seite gut und einfach sichtbar. Die innere Schale ist dabei in der Umgebung des Knotens deutlich dicker und heller. Weiterer hellerer Knoten auf der Schale erkennbar, aber deutlich schwächer. Die äußere Schale zeigt hellere Kanten und Flächen und sogar Ansätze von Struktur, die aber schwer zu fassen sind. Dann geht dieser in den Halo über, der schon ansatzweise zu erkennen ist. Bei 100 fach und OIII-Filter zeigt sich dieser etwa doppelt so groß wie der Nebel selbst und läuft diffus aus.
<!-- Bei weiterer Vergrößerung wird auf der nordwestlichen Seite bei 280 facher Vergrößerung und OIII-Filter ein kleiner abgesetzter Knoten sichtbar. Ebenso auf der gegenüberliegenden südlichen Seite, wobei dies unsicher ist. -->

[[Äußerer Halo von Jupiter's Geist|NGC 3242 - Äußerer Halo]]: Bei 100 fach und  OIII-Filter wird abseits des Halos - südwestlich gelegen - zunächst ein diffuser von Nord nach Süd verlaufender Balken sichtbar. Mit UHC auch gut erkennbar. Nördlicher Teil deutlich heller, der eine diffuse, ovale Spitze bildet mit jeweils helleren äußeren Bereichen. Nach Süden hin zeigen sich hellere Kanten, die diffus auslaufen. Nichts, was man im vorbei gehen erkennt, sondern nur sicher gesehen werden kann, wenn man die genaue Position kennt. Hat man die hellsten Teile des Nebels dann gesichtet, lässt er sich recht gut beobachten. Dennoch ein schwieriges Objekt. Der PN ist bei dieser niedrigen Vergrößerung natürlich sehr hell und stört bei der Beobachtung.

Die Temperaturen stabilisieren sich bei +5 Grad Celsius. Ich schaue mir Jupiter bei passablem Seeing an und kann neben dem GRF, der recht blass wirkt, eine Menge Strukturen in den Äquatorialbändern erkennen. Als nächstes halte ich Ausschau nach dem Bug-Nebel. Mittlerweile ist auch schon der Mond aufgegangen. Trotzdem macht der Bug-Nebel seinem Namen alle Ehre: Zwar zeigt er keine Farbe, aber dafür sehr helle und markante Strukturen. Das Seeing ist in Zenitnähe, wo er sich jetzt befindet, relativ gut. Aber das Nachführen bei 670 ist doch sehr mühsam, so dass ich beschließe heute Schluss zu machen. Der Kollege am 20 Zöller ist schon seit zwei Stunden im Bett und die Sternfreunde in den Observatorien haben auch gerade das Weite gesucht. Nach einem Bierchen bin ich dann schließlich um 02:00 Uhr zufrieden im Bett.

[[<<Zurück zum Artikel|Namibia Mai 2017]] | [[Weiter zur nächsten Nacht >>|20. Mai 2017 - Tivoli Astrofarm]]

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/RNj3o3" title="Untitled"><img src="https://live.staticflickr.com/65535/50491019492_b91697f904_h.jpg"></a>Der Orion ist bereits vollständig aufgegangen. Aufnahme gegen morgen bei schon einsetzendem Zodiakallicht. Mars leuchtet hell und die Lichtbrücke ist gut erkennbar. Insgesamt sieht man schön wie seifig der Himmel ist.</div>

So heute ist nun die beste Nacht. Vermutlich. Keine Wolken vorhergesagt. Mäßige Transparenz und gutes Seeing.

Erste Objekte sind M16 & M17. Bei M16 insbesondere die „Säulen der Schöpfung“. Ich habe aus Namibia eine Rohzeichnung und möchte die Reinzeichnung angehen. Dazu möchte ich mir noch mal einen kurzen Überblick über das Objekt und die Kontraste verschaffen. Dann geht es weiter. Erstes Objekt ist der Katzenaugennebel: Wunderschön wird die helle Innenschale sichtbar in dessen Zentrum der ZS thront. Die Schale erscheint oval, wobei eine Querstrebe bis zum ZS heranzureichen scheint. An die Innenschale schmiegen sich schließlich die kurzen, abgehenden Arme an. 
Es geht wieder zu Vz 1-2. Leider zeigt sich auch heute nichts an der richtigen Stelle. Das Seeing ist gut, aber leider nicht Top.

Der Himmel erscheint übrigens recht seifig. 21.46 misst mein SQM-L. Ein anderer Sternfreund zeigt mir sein Gerät. Parallelmessungen zeigen deutliche Abweichungen, obwohl meines in etwa den Wert des anderen genau einmal angezeigt hatte. Offenbar ist mein Gerät doch von den Alterungserscheinungen betroffen, wie ich schon mal vermutet hatte.

[[Kohoutek 1-6]]: An der richtigen Stelle und auch nur da zeigt sich an einem Stern 12. Größe mit OIII ein diffuser Glow, der nach Norden hin schwächer wird und dann komplett verschwindet, so dass sich zwar ein runder Eindruck ergibt aber letztendlich nur eine Sichel bleibt. Südlicher Sichelbogen gut abgegrenzt. Stern liegt knapp innerhalb der Sichel und nicht auf dem Rand. Schönes Objekt. 

 
NGC 7027 Nachschau: Gleiches Bild wie gestern. Sehr schön bei sehr gutem Seeing, das aber immer wieder einbricht.

[[Henize 1-4]]: Kleiner, runder Nebel, der direkt auf einem Stern aufsitzt. Schon ohne Filter zeigt sich ein verdächtiges Glimmen, dass wie eine Fahne nordwestlich abgeht. Mit OIII zeigt sich ein diffuser Nebel mit eingebetteten, hellen Schalen nahe des Randes. Verlaufen parallel nord-südlich. Der westliche weist einen hellen sternartigen Knoten am nördlichen Ende auf. 

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ueVciV" title="Untitled"><img src="https://live.staticflickr.com/65535/50381761792_0afd01203e_k.jpg"></a>So sieht eine der typischen Beobachtungsplattformen aus. Auf so einer habe ich mit dem 25 Zoll Dobson beobachtet.</div>

Das Seeing ist stellenweise Top. Dann wiederum bricht es ein. Die Profis rufen Werte zwischen 1.2“ und 0.4“ auf. Die Temperaturen auf dem Roque liegen bei + 16°C , wie bei uns hier unten auch. Der Himmel bleibt seifig und das SQM-L zeigt Werte um 21.5 an. Das ist wenig. Aber das ist Jammern auf hohem Niveau.

Drei Uhr morgens. Ich mache eine Pause. Etwas essen und Kaffee trinken. Ist schon komfortabel. Dann geht der Endspurt los. Noch drei Stunden. Dann ist auch diese Nacht Geschichte. Morgen klar und übermorgen auch. Das ist gut.

[[IC 1470]] im Cepheus: Länglicher Nebel um einen Stern. Schon bei 82 fach gut im Sternfeld als heller Nebel zu erkennen. Kann bis auf 600 fach vergrößert werden. Es zeigt sich ein ovaler Nebel, der südlich eines Sterns steht und diesen knapp umfasst. Eingebettet sind zwei in Längsrichtung parallele, diffuse Balken erkennbar an dessen nördlichem Ende ein Dunkelband steht, dass den Nebel wie eine Art Einschnürung teilt und dessen Enden wieder heller werdend aus dem Nebel herausragen. Der Nebel läuft insgesamt diffus nach Süden aus und ist im Norden gut definiert.  
 
Auf den Weg zu [[IC 1470]] bin ich auch über [[NGC 7510]] gestolpert. Dabei handelt es sich um einen sehr kompakten Offenen Sternhaufen mit zwei Dutzend Mitgliedern, wobei ein halbes Dutzend deutlich heller ist. Form dreieckig.

Das nächste Objekt ist [[CRL 618 - Westbrook Nebel]]. Das Sternfeld ist schnell gefunden. Es läuft bei 455 fach unglaublich schnell. Ich glaube den Nebel kurz erspäht zu haben. Aber bin nicht sicher. Mittlerweile steht er fast im Zenit. Ich renne hinterher. Aber es reicht nicht. Ich fluche, denn immer wieder verliere ich das Zielgebiet. Nichts geht mehr. Ich gebe für heute auf.

Bei CRL 618 handelt es sich um einen präplanetaren Nebel, in dessen Zentrum ein Stern steht, der seit ca. 200 Jahren Gase auswirft, welche die Basis für den Nebel bilden (Quelle: [[Wikipedia|https://de.wikipedia.org/wiki/CRL_618]]).

!Mars

Das Seeing ist sehr gut und teilweise bestens. Wir genießen den detaillierten Anblick und können wieder viele Details auf der Marsoberfläche erkennen.

Letztes Objekt ist [[V777 Mon - Red Rectangle]]. Bei 455 fach und 600 fach zeigt sich sehr einfach ein Stern mit einem rechteckigen Halo. Die Diagonalen sind auffällig und führen vom Stern durch die Ecken des Rechtecks und darüber hinaus. Selbst ein „unbedarfter“ Beobachter bestätigt die Sichtung.  

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Die durchziehenden Wolken sorgen für einen typischen Weichzeichnereffekt. Hell in rot leuchtet NGC 281, der schon in kleinen Teleskopen mit Filter erkennbar ist. Das Foto zeigt das Sternbild Cassiopeia und am rechten Rand bereits den Perseus mit dem bekannten Doppelhaufen.

<<<

Die Temperaturen steigen immer weiter. Mittlerweile +18°C. Gestern hatten wir noch 14° C. Der Himmel wird auch immer schlechter. Calima. Gibt es doch gar nicht. Auf dem Roque weht der Wind aus Westen bzw. NNW. Aber das Tiefdruckgebiet über den Kapverden ist ja nach Westen gezogen. Und von da kommt der Wind. Vermutlich hat der Wind daher auch Saharastaub im Gepäck. Das Seeing war heute aber insgesamt gut. Kann man nicht meckern. Abell 14 habe ich glatt vergessen. Muss ich morgen noch machen.

[[<< Zurück zur vorangegangenen Nacht|18. September 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|20. September 2020 - La Palma]]

Windig mit Spitzen um 30 km/h. Klar. SQM-L Werte um 21.36 im Zenit.

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''NGC 6309'': Direkt neben schwächeren 13 mag Stern befindet sich der Box-Nebel. Hell von rechteckiger Form nordsüdlich verlaufend. Bei 430 fach zeigen sich bei gutem Seeing Knoten innerhalb des Nebels. Am nördlichen Rand ist der Nebel am hellsten und zeigt einen hellen Knoten. 

''Abell 45'': Nicht unbedingt einfach aufzufinden, da umliegende Sterne nur sehr schwach zu erkennen sind. Nebel bei 114 fach und OIII nicht gesehen und nach mehrfachen intensiven Beobachten mit durchziehenden Zirren schließlich abgebrochen.

Die Zirren am Horizont bewegen sich schnell Richtung Osten und überziehen den gesamten Himmel. Sie lassen einige wenige Lücken, die ich zum weiteren Beobachten nutze.

''Minkowski 1-92'': Nur mit genauer Karte zu finden. Heller sehr kleiner runder stellarer Nebel. Bei 168 fach allenfalls zu erahnen. Bei 430 fach dann eindeutig. Bei indirekter Beobachtung wird weiterer Nebelteil sichtbar, so dass sich ein bipolarer Nebel zeigt in nord-südlicher Ausrichtung. Zweiter Nebelteil ebenfalls rundlich bis leicht oval. Insgesamt zeigt sich mit etwas Phantasie tatsächlich ein Fußabdruck! 

''PK 064+05.1'': An der richtigen Stelle bei 430 fach nicht eindeutiges. Seeing ist zu schlecht. Sterne sind nicht scharf zu kriegen.

Der Mond ist bereits um drei Uhr aufgegangen und die Zirren - wie vorhergesagt - abgezogen. Damit geht auch diese Nacht wieder zu Ende.

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Tagsüber ist es auf dem Roque bewölkt. Am Abend soll es lt. Vorhersage aufreißen. Tut es auch. Grund für die tiefen Wolken ist ein uns streifendes Tief. Der Luftdruck steigt aber wieder leicht. Die Insel ist komplett unter Wolken. Das SQM-L steigt gegen Mitternacht auf 21.73 im Mittel. Es ist zunächst mit 60% rel. Luftfeuchte kalt. Aber es sollte noch kälter und feuchter werden. Erstes Objekt ist Sirius B.

''Sirius B:'' Mit 430 fach wird dem schwachen Begleiter zugesetzt. Leider gar nix zu erkennen. Seeing ist Super. Defokussiert gibt Sirius (A) ein perfektes, konzentrisches Beugungsbild ab. Vom Begleiter aber keine Spur. Runter auf 168 fach. Jetzt ist der winzige Begleiter zweifelsfrei zu erkennen. Er steht etwas abseits des Strahlenkranz von Sirius A. Nur der leicht böige Wind aus NE verhindert ab und zu seine kontinuierliche Sichtung.

Dann muss ich mal bei Jupiter schauen.

''Jupiter:'' Bei bestem Seeing werden unglaublich viele Strukturen sichtbar. Der GRF steht im Transit. Wunderbar. Bei 168 fach sind praktisch alle Strukturen bereits sichtbar. Vergrößerung auf 430 fach geht auch gut. Aber die schönen Farben verblassen. So beobachte ich bei 168 fach weiter und bin begeistert. Kann mich kaum losreißen.

Aber es muss mit dem Beobachtungsprogramm ja weiter gehen.

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![[NGC 2359 - Thor's Helm]]

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{{NGC 2359 - Thor's Helm}}

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Zunächst steht eine Nachbeobachtung von Sh2-208 auf dem Programm. Mit 40 fach und OIII wird nochmal drauf gehalten. Bild ist sehr hell. Großflächige schwache Bereiche einfacher sichtbar. Knoten in den Nebelschalen sind aber schwieriger zu sehen, da die Vergrößerung zu gering ist. Dafür wird die schwache Nebelschale jetzt deutlicher sichtbar.

Nächstes Objekt ist ''"Thor's Helm"'' oder der ''"Duck-Nebel"'': Bei 40 fach zeigt sich mit OIII-Filter ein Nebel in Form eines Helmes, den zwei "Federn" aufgesetzt sind. Weitere schwache Nebelfetzen abseits sichtbar. Bei 65 fach sind zunächst im Helm und in den Ausläufern Strukturen zu erkennen. Bei 168 fach werden aber die Strukturen am besten sichtbar.

Erstaunlich wie stark hier vergrößert werden kann. Die Luftfeuchte steigt über 90% an. Am NOT leuchtet jemand mit der Taschenlampe auf eine offenbar direkt über dem Teleskop stehende Wolke, die eindrucksvoll sichtbar wird. Die Kollegen packen ein und fahren runter. Wenig später machen es die anderen vom WHT auch. Ich freue mich, dass ich weiter beobachten kann und denke, dass ich schlauer bin. Schließlich hat 7timer.com nur bis ein Uhr die hohe Luftfeuchte angekündigt. Vielleicht geht es dann ja weiter. 

Plötzlich ist der Fangspiegel zu und alle Okulare nass. Die ING-Wetterstation meldet praktisch überall fast 100% Luftfeuchte und eine Nebelwand kommt auf mich zu. Wärme noch schnell den Fangspiegel und die Okular, denn nass will ich sie nicht einpacken. Es gelingt. Nun noch drauf achten, dass der Hauptspiegel nicht zutaut! Auch das gelingt. Bekomme alles trocken ins Auto und muss nochmal eine halbe Stunde warten, bis die Scheiben frei vom Tau und Eispanzer sind.

Tags drauf zeigt sich, dass es bis zum frühen Morgen bedeckt war. Heute Nacht soll - abgesehen von etwas Wind - oben und am Haus was gehen.

[[Weiter zur nächsten Nacht >>|3. April 2016 - Roque de los Muchachos]]

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![[M17 - Schwanennebel mit 14 Zoll]]

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{{M17 - Schwanennebel mit 14 Zoll}}

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!NGC 7027

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{{NGC 7027 mit 14 Zoll}}

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![[NGC 6131]]

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{{NGC 6131}}

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Wieder an der Viehtränke. Es ist deutlich wärmer als gestern. Ich habe es mit Calima zu tun, sogar ziemlich übel. Als ich aufgebaut habe, bellt mich ein Köter an. Aus der Richtung der Anhöhe, die sich nördlich befindet. Muss ein Machtwort sprechen und schreie: "Aus!". Ja, "Aus". Viele Hunde, werden auch in Spanien mit deutschen Kommandos erzogen. Es wirkt! Denkste. Eine halbe Stunde später geht es wieder los. Ich kann und will nicht mehr abbauen. Ist einfach zu spät. Na ja, das werde ich noch bereuen.

Die Nacht bricht ziemlich fahl herein. Kein Erdschatten.Der Himmel sieht trotzdem ganz Ok aus. Erstes Objekt ist M17. 

''M17:'' Bei 168 wird ohne und mit OIII-Filter ein sehr strukturierter Nebel sichtbar. Unglaublich hell. Schwache Bögen, die über den Kern des Nebel bis zu 100% hinaus gehen. Bei 56 facher Vergrößerung und OIII werden die schwächsten Ausläufer am besten sichtbar.

Dies ist ein prädestiniertes Objekt für das 120° Okular. Der Nebel passt mit allen seinen Ausläufern perfekt da rein. Kein  Schwenken. Nicht notwendig. Das Ganze Zeichnen kostet richtig Zeit. Es geht weiter mit NGC 6131, einer Spiralgalaxie im Sternbild Bootes. 

''NGC 6131:'' Schon bei 56 fach direkt im Gesichtsfeld erkennbar. Bei 114 fach zeigt sich eine ovale Galaxie, die unruhig wirkt. Es werden in der Nähe einige schwache und kleine Hintergrundgalaxien sichtbar. Lt. Sky Safari haben diese eine Helligkeit von nur 16 mag. Trotzdem kann man sie erkennen. Bei 320 fach wird Blickweise ein Spiralarm mit hellerem Ende sichtbar. Der zweite in entgegen gesetzter Richtung ist diffuser und sehr schwierig erkennbar.

Das SQM-L rangiert zwischen 21.57 und 21.65. Der Himmel wird aber gegen Morgen hin wieder besser. Das Seeing ist schließlich top. Daher probiere ich NGC 7027 aus.

''NGC 7027:'' Sehr hell und grün. Bei 114 fach schon von den Feldsternen gut unterscheidbar, da etwas größer. Zunächst rund. Bei 1300 fach wird dann ein rechteckiger Nebel mit runden Ecken sichtbar. Immer noch sehr hell und alles in grün. Hat einen Halo. Innerhalb des Nebel wird auf etwa ein Drittel längs seitig eine Einschnürung sichtbar. An einer Seite befindet sich zudem ein heller Knoten. Bei Reduktion auf 830 fach ist das Ganze noch besser sichtbar, da der Nebel besser an Kontur gewinnt.

Muss die Zeichnung und die Beobachtung zeitweise unterbrechen. Geräusche im Unterholz sind der Grund. Mir wird das Ganze zu heiß und klettere auf das Autodach. Wie peinlich! Handelt es sich doch vermutlich um Schafe! Oder doch um Rotwild? Kann die Tiere sogar riechen! Plötzlich ist wieder alles ruhig und ich traue mich wieder runter. Ich schwöre hier nicht mehr aufzubauen. Ich lasse euch in Ruhe! 

Weiter geht's. Die Zeichnung wird finalisiert und dann geht es noch mal zu Abell 6. Nichts Neues zu gestern nur noch mal in einer Zeichnung festgehalten. Das war's wieder für diese Nacht. Übrigens: Nächsten Tag wird mir im Restaurant Rehgulasch empfohlen. Greife sofort zu ;(. Tags drauf nehme ich Rehwurst :)

[[weiter >>|3. August 2016 - Pinar de Araceli]]

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Wieder auf der "Halde". Zuvor auf dem ORM Gelände herumgefahren und einige Fotos der Teleskopanlagen gemacht. Heute sind ab Mittag Zirren aufgetaucht, die immer noch den Himmel bedecken. Sollen lt. Stundenvorhersage aber verschwinden, was sie auch tatsächlich tun. In ca. einem km Entfernung stehen auch Leute. Scheinen die Nacht über zu bleiben. Droht Weißlichtgefahr? Zu weit weg und wenn doch hauen sie eh spätestens in zwei Stunden wieder ab. Entwarnung.

Nach dem Aufbau und der anschließenden Kolli kann ich den Hauptspiegel nicht justieren. Hier "fehlen" noch ein paar Umdrehungen. Puh, Stangen locker machen. Nochmal. Geht wieder nicht. Alles wieder abbauen: Hut, Stangen ect. Stangen tauschen. Jetzt geht's. Muss die wohl durchnummerieren. Astronomische Dämmerung ist schon rum. Panno! Wird erstellt. Die von gestern konnten am Laptop mit MS ICE leider nicht zusammengesetzt werden. War wohl zu sportlich. Haben auch pro Stück nur 30 min gedauert. Da hat das ein oder andere Bild gefehlt.

Was ist das? Jetzt wird tatsächlich mit Weißlicht bei den Nachbarn herumgefuchtelt! Und es ist verdammt hell. Stört vermutlich auch die Aufnahmen. Es ziehen auch weitere Zirren durch. Na ja, so möchte ich den Sternhimmel hier auch nicht aufnehmen. Müssen schon gute Bedingungen herrschen, sonst denkt noch jeder, dass er so einen Himmel hinter dem Haus seiner Großstadt auch hat ;)

Also Panno abgebrochen. Mit der Beobachtung angefangen. Ziel ist als erstes Abell 73. Steht nicht mehr optimal, wie gestern Abell 80 auch schon. 

[[Abell 73]]: Runder Nebel, der mit zwei Sternen im angrenzenden Sternfeld ein rechtwinkliges Dreieck bildet. Mittelgroß. Ähnlich wie Abell 80 gestern. Nordöstlich ein schwacher Stern. Dieser verschwindet mit OIII. Bei 114 fach und OIII kann der Nebel an der richtigen Position indirekt gesehen werden. Kann nicht ganz gehalten werden. Einfacher als Abell 80.

Der Gegenschein ist gut zu erkennen. Er steht noch nicht sonderlich hoch. Transparenz ist nicht so gut wie letzte Nacht. Es ist aber absolut windstill. Nichts rührt sich. Auch kein Ton. Keine Flugzeuge zu hören. Nichts. 

Die Weißlichtkollegen haben sich beruhigt. Jetzt ist vom Licht nicht viel zu sehen. Gegen Mitternacht fahren sie ab, aber nicht bevor sie mich komplett mit Fernlicht anzuleuchten. Aber so ist das. Heute ist Samstag. 

Weiter geht es zu [[M33]]. Ist mit bloßem Auge direkt sichtbar. Bei 114 fach beginne ich zu zeichnen. Bin damit gut zwei bis drei Stunden beschäftigt. Dann UGC 3573. Steht fast im Zenit. Kann beim Aufsuchen mit etwas Mühe einen Stern mit 7.6 mag sehen. Neh, kann nicht sein. Da ist einer mit 6.8 in der Nähe. Oh doch, der ist sogar einfacher! Das SQM-L zeigt allerdings nur schwache 21.4 an. 

[[UGC 3573]]: Nur mit guter Sternkarte auffindbar. Die sehr schwache und kleine Galaxie liegt in der reichen Wintermilchstraße des Sternbildes Zwillinge. Bei 65 facher Vergrößerung und sehr großer AP wird dann auch schon ein unruhiger Schimmer an der richtigen Stelle sichtbar. Mit indirektem Sehen wird bei 114 fach schließlich eine kleine nadelförmige Galaxie sichtbar. Sternartiges Zentrum. Unweit davon entfernt zeigt sich eine weitere ovale, sogar einfacher sichtbare, weil hellere, Galaxie.

So jetzt bleibt noch eine halbe Stunde bis zum Mondaufgang. Jupiter steht schon etwas höher. Und ja. Seeing ist ganz Ok. An seinem Rand steht ganz knapp Callisto, wie Sky Safari verrät. Und schon ist der Mond da. Und ich weg.

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[[Weiter zur nächsten Nacht >>|3. Januar 2016 - Roque de los Muchachos]]

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Wieder Abwägen ob der Mühe und des Lohns. Mühsam ist das ganze schon; Lohn gibt’s dafür außer in Form von Eindrücken nicht. Nicht einfach ist es deshalb, da für das folgende Wochenende wiederum gutes Wetter vorhergesagt wird und heute nur zweieinhalb Stunden Nacht angekündigt sind, denn der Mond geht frühzeitig auf. Mathias besteht darauf und ich sage schließlich zu. 

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Ich möchte ursprünglich nur mit leichtem Gepäck anrücken und habe neben zwei Fotostativen und dem Feldstecher zwei Kameras dabei, die den schönen Sternenhimmel und die Stimmung einfangen sollen. Aufgrund der guten Seeing-Vorhersage habe ich auch den 14 Zöller mitgenommen. Mathias hat den 10-Zoll Dobson dabei.

!Die Rhön riecht...

...wie immer. Fällt mir direkt auf. Jeder Beobachtungsplatz hat seinen eigenen Geruch. Am markantesten sind die Kalahari ([[Tivoli Astrofarm]]) und die [[Rhön]]. Das kann ich einfach nicht beschreiben. Ist aber so.

Angekommen am Beobachtungsplatz vertrete ich mir erst mal die Beine. Es geht Richtung ehemaliger innerdeutsche Grenze. Der Boden ist mit kräftigem Gras bewachsen und man sieht sehr häufig Kuhfladen, vermutlich aus dem letztem Jahr. Während ich quasi aufbreche, sehe ich ein Monster von Wohnmobil auf den Parkplatz einbiegen. Nein! Das gibt es doch gar nicht! Doch, gibt es. Wir sind in Deutschland und um jeden Platz wird praktisch „gekämpft“.

Die Transparenz ist gut, aber sie könnte noch besser sein. Trotzdem zeigt sich ein grandioser Erdschatten, allerdings etwas schlechter als vor zweieinhalb Wochen. Mittlerweile sind wir auch im März, so dass der Winterhimmel nur in der ersten Nachthälfte beobachtet werden kann, bevor er im Westen verschwindet. 

Wir sind rechtzeitig da und genießen die Dämmerung. Ich bin mit dem Aufbau beschäftigt. Schließlich ist es soweit dunkel und wir können schon bei fortgeschrittener Dämmerung die Wintermilchstraße sogar im Sternbild Großer Hund erkennen. Als die astronomische Dämmerung schließlich einsetzt, ist unglaublicherweise sogar das Zodiakallicht zu erkennen. Was in diesem Fall heißt, nicht mit „Augenverbiegen“, sondern bis hoch in die Plejaden eindeutig sichtbar. Das hatte ich bisher noch nie in der Rhön. Daher sofort [[Foto|All Sky Fisheye Tracked - Lange Rhön im Winter]] machen!

!Die Bedingungen sind unglaublich…Gut!

Es ist schön trocken. Laut meiner kleinen Wetterstation sind es 56 % relative Luftfeuchtigkeit  und +4 °C. Traumhaft. Muss die Moonboots auch wieder ausziehen, da sie einfach zu warm an den Füßen sind. Kaum Wind, erst später aus Südost. Eine epische Nacht. Endlich zeigt der Standort mal sein wahres Potenzial.

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/071071" title="Wintersternbilder über der Langen Rhön"><img src="https://live.staticflickr.com/65535/51012165641_ad3db9e05e_h.jpg" alt="Wintersternbilder über der Langen Rhön"></a>Der Große Hund und sein Herrchen/Frauchen* 😂, der Orion (~JägerIn). Das Foto zeigt die außergewöhnlichen Bedingungen kurz nach Anbruch der astronomischen Dämmerung. Zu unserem Glück taucht kein Jäger auf.</div>

Die Aufnahmen, die ich mache, bestätigen quasi im Nachhinein alles. Diesmal gelingt mir ohne Probleme der (manuelle) Weißabgleich bei den Aufnahmen mit der astromodifizierten Kamera 📷 . Hinzukommt, dass die Lichtverschmutzung erstaunlicherweise - nicht wie üblich - als grüner Schleier den gesamten Himmel umspannt, sondern lediglich am Horizont zu erkennen ist. Was ist hier los? Ich weiß es nicht. Ich schiebe es mal auf die Kombination niedrige Luftfeuchtigkeit, gute Transparenz und...keine Ahnung. Sicher ist auch, dass die Schneedecke mit ihrer Rückstrahlkraft (Albedo) vor circa drei Wochen natürlich ihren Teil noch dazu beitrug. Möglicherweise ist der Himmel über der Wasserkuppe im Vergleich doch heller als der in der Langen Rhön. Aber wer weiß? Forscher würden jetzt sagen, dass man das weiter untersuchen müsse. Das mache ich jetzt auch mal so. 😉

!Barnard's Loop - die Zweite

Die erste liegt [[fünf Jahre zurück|5. April 2016 - Trocha del Reventon]]. Diesmal steht aber nicht die Beobachtung mit bloßem Auge im Mittelpunkt, sondern im Feldstecher. Dieser ist dabei auf ein Stativ montiert, so dass ich in Ruhe beobachten kann. Bestückt ist er mit einem UHC-Filter von Astronomik, sowie einem Hβ-Filter von Lumicon. Der Hβ ist rechts am Beobachterauge montiert, links der UHC. Um möglichst entspannt beobachten zu können, sitze ich zudem auf einem Stuhl. Zu Beobachtungsbeginn steht der Orion noch fast im Süden. Also optimal. Der 10x50 Feldstecher (Jenoptem) bietet ein wahres Gesichtsfeld von 7°. Damit ist der gesamte Orion natürlich nicht in einem Blickfeld sichtbar. Er muss abgefahren werden.

Der Feldstecher ist auf ein Fotostativ montiert. Darüber hinaus habe ich mir die Kapuze komplett über den Kopf und gezogen. Das funktioniert insgesamt ganz gut. 

[[Sh2-276 - Barnard's Loop]] im Feldstecher: Ich beginne die Beobachtung mit dem hellsten Teil, dem S-förmigen Nebelteil, um NGC 2112, einem offenen Sternhaufen. Er hat eine visuelle Helligkeit von circa 9 mag, so dass er im Feldstecher theoretisch erkennbar ist. Mit den Filtern aber nicht. Der S–förmige Nebelteil neben NGC 2112 wird schließlich nach einiger Zeit gut sichtbar.

Praktisch nebenan und fast im gleichen Gesichtsfeld liegt auch der „Flammennebel“ oder besser bekannt als NGC 2024, sowie der „Pferdekopfnebel“ oder IC 434. Beide sind sehr, sehr schwach erkennbar. Strukturen kann ich keine ausmachen. Der Blick schweift nach Süden zu M42. Der ist natürlich hell und einfach zu sehen. Ich versuche noch den „Anglefish“ oder Sh2-264. Nichts zu erkennen. Barnard's Loop zeigt sich hingegen ausgehend vom S-förmigen Bogenteil nach Süden bis etwa auf Höhe der Gürtelsterne, wo er noch mal heller wird, etwa genauso hell wie der S-förmige Teil. Zwischen Saiph und Rigel hingegen ist nichts zu erkennen. Auch lässt sich der Nebel bis zu Saiph auf dem letzten Stück nicht verfolgen. Insgesamt beobachte ich mit kurzen Pausen circa eine Stunde lang. 

Wichtig ist die Erkenntnis, dass für diese Art von großflächigen Objekten eine geringere Vergrößerung notwendig ist. Geringer jedenfalls als zehnfach bzw. – was praktisch ausgeschlossen ist – mit einem größeren Gesichtsfeld. Wahrscheinlich ist eine Vergrößerung von siebenfach möglicherweise ideal. Hintergrund ist einfach die Tatsache, dass selbst in meinem Feldstecher mit 7.2° wahrem Gesichtsfeld, sich das Ganze schwer darstellt, da das Objekt einfach viel zu groß ist, um es auch nur ansatzweise komplett zu überblicken.

Mathias grast derweil im Eridanus herum. Er möchte das [[OdM im Astrotreff für Februar 2021|http://www.astrotreff.de/topic.asp?TOPIC_ID=258146]] ansteuern. Sein Fazit ist: „Die Galaxien sind gut erkennbar... und auch [die Morphologie].“ Nun gut.

Nach dieser Beobachtung nehme ich die Filter vom Frontglas raus und genieße noch mal den Orion ohne Filter. M42 ist unglaublich hell und zeigt auch den südlichen Teil, der als fast ein „geschlossenen“ Ring zeigt. Krass! Die Bedingungen sind sehr gut und es  ist es noch sehr früh am Abend. Trotzdem ist die Transparenz perfekt und dunkel ist es auch: SQM-L 21.6 im Zenit. Das nächste Objekt ist ein Kompromiss. Ich habe bewusst nach einem Objekt gesucht, was sich in Zenitnähe befindet, denn hier sind die Bedingungen wirklich gut. Die „Klassiker“, stehen zu dieser frühen Stunde noch zu tief. Meine selbst auferlegte Eingrenzung zum Zenit hin (denn hier ist der Himmel wirklich dunkel!) hat mich zu NGC 2403 geführt.

<<<

[[NGC 2403]]: die Galaxie ist knapp 8 mag hell. Damit müsste sie knapp im Feldstecher zu erkennen sein (Ist sie auch, wie ich aber erst eindeutig bei einer Nachbeobachtung in ein paar Tagen feststellen werde). Ich habe das natürlich ausprobiert und tatsächlich glaube ich sie im Feldstecher schwach zu erkennen. Letztlich bleibt dies aber ungewiss, denn dazu müsste ich das Sternfeld komplett identifizieren und auch dazu mich auch auf den Rücken legen, was ich jetzt nicht machen möchte, denn der Steilblick lässt sich nicht lange durchhalten. 
Im neuen 20 mm Okular zeigt sich die Galaxie hell und sehr kontrastreich. Verträgt ohne Probleme Vergrößerungen bis zu 290x. Insgesamt zeigt sich eine komplexe Galaxie. Dies liegt insbesondere daran, dass sie zahlreiche HII – Regionen enthält, die wiederum Eigennamen tragen. Mit einer Karte begebe ich mich auf die Suche nach den HII-Regionen, wobei mir die hellste, NGC 2404 sofort augenscheinlich auffällt und auch ohne Karte sofort auffällt. Am Ende erkenne ich ohne Probleme circa sieben, auch insbesondere schwächere. Spiralarme sind gut zu erkennen. Zentrum diffus und leicht ausgedehnt. Nahe des Zentrums sind auch zwei HII-Regionen zu erkennen, die auf UHC-Filter gut reagieren. Dies gilt auch für die anderen HII-Gebiete, allerdings profitieren nicht alle in gleichem Maße. Manche sind kontrastreicher zu sehen und im Vergleich zu den Sternen deutlicher, andere wiederum eher nicht.

<<<

Leider reicht am Ende die Zeit nicht, um eine Zeichnung zu beginnen. Ich vertröste mich auf die nächste Möglichkeit, denn die ist bereits in drei Tagen möglich. Mathias und ich schauen nun gemeinsam den Eulennebel an, auch bekannt als [[M97|M97 - Eulennebel]]. Es zeigt sich zunächst ein sehr heller Nebelball, selbst bei 290 fach. Wir wollen diesmal „unplugged“ beobachten, d.h. ohne Filter. Im Nebelgebiet ist der Zentralstern sehr schnell und eindeutig sichtbar. Nach kurzer Zeit erkenne ich zwei weitere Sterne im Nebelgebiet. Mathias bemerkt, dass der Zentralstern offiziell 16 mag hell ist, was wohl nicht sein könne, denn dafür ist er tatsächlich viel zu hell. Wie auch immer, selbst „die Augen“ werden erkennbar und es zeigt sich sogar, dass diese lang gezogen sind, wie bei einem „Alien“, wie Mathias bemerkt. Abschluss einer grandiosen Nacht! Wobei man von Nacht eigentlich nicht reden kann, denn zweieinhalb Stunden sind nun mal keine Nacht. Am Horizont im Osten wird es schon deutlich heller. Und schon ist die kräftige und volle Sichel des Mondes zu erkennen. Der Himmel bricht praktisch zusammen vor lauter Licht.

Das SQM–L ist zwischen 21 Uhr und  21:30 Uhr auf 21.6 geklettert. So hohe Werte hat man  - wie bereits erwähnt - eigentlich nur am Morgen. Zum Glück habe ich meine Kamera mitlaufen lassen und habe im Nachhinein auch festgestellt, dass das Gerät offenbar korrekt misst. Denn die Lichtverschmutzung geht zum Teil sprunghaft zurück. Ab circa 21:30 Uhr. Die genaue Uhrzeit ist letztlich unklar und die Ursache auch. Fakt ist, dass die Lichtglocken von Fulda und Frankfurt deutlich zurückgehen. Sind Wolken die Ursache? Wohl kaum, denn auf der Rückfahrt bemerke ich weder Nebel noch Wolken. Woran liegt das? Ich weiß es (noch) nicht. Das ist aber auch ein Thema für einen eigenständigen Artikel. Das Seeing war hervorragend angekündigt, aber gut war es dann doch nicht. Jedenfalls nix was positiv erwähnenswert wäre.

Zu Hause angekommen, lade ich alles aus und bringe den Carsharing Wagen wieder zurück. Auf der Fußstrecke nach Hause bemerke ich, dass Teile des Weges mit neuen LED Lampen zugepflastert worden sind. Man kann die Lampenköpfe praktisch gar nicht anschauen, so hell sind sie. Dafür strahlen sie auch wirklich nur nach unten ab und man hat den Eindruck, die Straße ist so hell beleuchtet, für was eigentlich? Oder tragen sie doch dazu bei, dass die Lichtverschmutzung zurück geht?

Nächsten Freitag, in drei Tagen, ergibt sich eine weitere Möglichkeit zu beobachten.

[[<<Zurück zur Beobachtungsübersicht|Frühjahr 2021]] | [[Weiter >>|5. März 2021 - Lange Rhön]] 

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/JZ74ZB" title="Untitled"><img src="https://live.staticflickr.com/65535/51437019473_a3d95dc30a_h.jpg"></a>Mathias beim Aufbau des 21 Zöllers zu Beginn der astronomischen Dämmerung. Alle uns plagenden Phänomene sind sichtbar: rechts zwei sich kreuzende Satellitenspuren, links davon ein Meteor und unten am Baum ein Flugzeug. Die Aufnahme wurde mit dem neuen Tamron 11-20mm Zoom für Sony APS-C gemacht. Es stellt das gleichzeitig erschienene Update des Samyang 12mm in Bezug auf Schärfe locker in den Schatten. Aufgenommen bei Offenblende 2.8. </div>

Pünktlich zum Beginn des Septembers gab es die erste klare Nacht. Nur knapp drei Stunden und mitten in der Woche. Ich warte lieber noch und starte schließlich einen Tag später. Mindestens drei klare Nächte in Folge sind vorhergesagt. Dann muss man schauen. Aber das kennt man ja.

Klar mit relativ guter Transparenz. Windstill beziehungsweise mit leichten Wind aus Nordost. Wie vorhergesagt. Ich treffe bereits kurz vor Sonnenuntergang ein. Ich sehe noch, wie die Sonne gerade hinter der Wasserkuppe verschwindet, als ich schließlich direkt aufbaue. Es dauert nur ein paar Minuten, dann ist das Autodach bereits klatschnass. 

Mathias ist heute mit 21 Zoll vor Ort. 

![[NGC 7139]]

Das erste Objekt ist NGC 7139: schon bei 65x als schwacher Glow im relativ reichen Sternfeld des Cepheus auszumachen. Kann ohne Probleme bis auf 290x vergrößert werden. Es zeigen sich schließlich bei geduldiger Beobachtung recht eindeutig und leicht ein ovaler, fast runder Nebel, mit zwei parallelen, und recht gut definierten Rändern. Diese liegen nordsüdlich ausgerichtet absolut symmetrisch gegenüber. Nach Norden und Süden läuft der Nebel diffus aus. Inneres heller zum Rand hin deutliche Helligkeitszunahme.
Auf dem östlichen Rand befindet sich relativ gut erkennbar ein Stern. Auf der gegenüberliegenden Seite etwas versetzt zur Mitte hin zeigen sich zwei sehr schwache Sterne, die nur bei gutem Seeing und wieder auf blitzen. Seeing 3-4.

Das Seeing ist praktisch schlecht. Ist von Meteoblue ursprünglich auch so vorhergesagt worden, allerdings zeigte die letzte Meldung wiederum, dass es mit einer Bogensekunde doch wieder ganz okay sein sollte. Das ist definitiv nicht der Fall und die zwei Bogensekunden sind mit Sicherheit näher dran an der Wahrheit.

Die Transparenz ist heute nicht optimal. Auf dem Weg zum Beobachtungsplatz habe ich gesehen, dass auf den Wiesen und Weiden große Pfützen zu sehen sind. Das bedeutet im Kern, dass wir die Nacht mit Nebel rechnen müssen. Es ist im Kern auch dunkel, aber irgendwie auch dunstig. Immerhin, dass SQM-L zeigt abseits der Milchstraße konstante Werte um 21.4 an.

!Laevens 3

Komischer Name. Komisches Objekt. Dabei handelt es sich um einen vor ein paar Jahren entdeckten Kugelsternhaufen im Sternbild Delfin. Sichtungen mit 20 Zoll sind erfolgreich gewesen, darunter aber bislang nicht. Aufmerksam geworden bin ich auf das Objekt im [[Deep Sky Form|https://www.deepskyforum.com/showthread.php?862-Laevens-3-a-newly-discovered-probable-GC-in-Delphinus]]. Der Thread ist von 2016, also bereits fünf Jahre alt. Zum Glück gab es einen neuen Post dazu, sonst wäre mir das Objekt gar nicht mehr „untergekommen“.

__Nun zur Beobachtung selbst__: bei 14 Zoll im richtigen Sterngebiet zunächst nichts zu erkennen. Hin und wieder scheint an der richtigen Stelle was aufzublitzen, das sich aber nicht manifestiert. Im 21 Zoll zunächst Schwierigkeiten das Zielgebiet zu finden. Dann zeigt sich ähnlich wie bei 14 Zoll einfach nichts. Der Kugelsternhaufen sollte auf einer langen Seite eines Dreiecks aus noch recht gut erkennbaren Sternen zu erkennen sein. Ist er aber – wie gesagt – nicht.

Mathias hat wieder mal alles perfekt geplant. So hat er gegen Mitternacht eine Stunde Pause und ich „übernehme“ das Gerät und wir beobachten verschiedene Dinge. Ich stelle loser Folge einfach mal was ein. Zunächst den Ringnebel. Irgendwie idiotisch, denn das Seeing ist ja recht mies. Also was Großes: M13. Dann M15. Und den Zirrusnebel. Yep. Der Dobson läuft butterweich. Ein „sanfter Riese“.

Gegen 2:00 Uhr erlöst uns der Mond. Wir sind auf dem Rückweg und planen schon die heutige Nacht.

[[<< Zurück zur Beobachtungsübersicht|Sommer & Herbst 2021]] | [[Weiter zur nächsten Nacht >>|3. September 2021 - Lange Rhön]]

So, ein Tag Pause. Gewitter sind natürlich wieder aufgezogen. Aber heute geht es weiter, morgen und übermorgen auch. Dann kündigt sich ein Wetterwechsel an und das war’s dann. Bin heute hier im Hotel untergekommen und werde zwei Tage beziehungsweise eine weitere Nacht bleiben. Bin mit dem Home-Office quasi ins Hotel in Birx umgezogen. Birx lag früher direkt an der innerdeutschen Grenze und es ist schon erstaunlich, dass man heute hier Astronomie machen kann.

Heute stehen wir am Schwarzen Moor und die Horizontsicht ist hier deutlich besser. Daher sind auch alle Objekte, sofern sie über dem Südhorizont stehen, erreichbar. Sehr feucht und warm. 96% lt. Wetterstation. Zu Beginn der astronomischen Nacht sind die SQM-Werte 21.39 sowie 21.50 mit Linse. Es bleibt im übrigen die ganze Nacht mit 18 °C richtig warm. Erinnere mich nicht, schon mal solche Temperaturen hier gehabt zu haben.

Der Mond stört all die Tage nicht und das, obwohl wir schon vom ersten Viertel nicht weit entfernt sind. In praktisch allen Nächten geht er vor der astronomische Dämmerung unter.

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Links im Bild ist die Wasserkuppe zu sehen mit ihren markanten runden ehemaligen Abhörturm. Während ich versuche, die Stimmung einzufangen, kommen zwei Damen vorbei, offenbar eine Mutter mit ihrer Tochter, wobei die Mutter mich direkt anspricht. Ja, ich beschäftige mich mit Astronomie und versuche gerade den Mond zu fotografieren. Offenbar stammen beide aus der Region und so kommt es zu einem kurzen Gespräch. Erst als Mathias eintrifft und mich begrüßt, verabschieden sich die beiden.

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Hier eine Aufnahme mit der neuen, gebraucht gekauften, Sony A7s wobei ich über die Performance tatsächlich etwas enttäuscht bin, aber letzt endlich bleiben solche Mondaufnahmen, die ja auch kurze Verschlusszeiten aufgrund der schnellen Bewegung des Mondes erfordern, eine echte Herausforderung für jede Kamera. Die Aufnahme entstand an meinem Pentax SDHF 75.

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!Südliche Milchstraße

M 8 & M 22 sind toll. Bei M 57 zeigt sich auch der ZS sofort. Wunderbar. Das Seeing scheint also auch gut zu sein. Den nächsten Nebel suche ich eine ganze Weile, mit dem vermeintlichen Filter bereits im Übersichtsokular eingeschraubt, auf. Kann ihn nicht finden und werde auch langsam nervös und komischerweise fragt Mathias die ganze Zeit nach, was ist denn so treiben würde. Na was denn schon, ich suche NGC 6888 und kann ihn nicht finden. Zum verrückt werden. Dann habe ich schließlich nach einer halben Stunde einen Verdacht: möglicherweise ist ja gar nicht der [OIII] drin, sondern irgendein anderer Filter. Und siehe da, ans Okular, hatte sich ein Polarisationsfilter verirrt. Peinlich 😳!

![[NGC 6888 - Cresent Nebel|NGC 6888]]

Unglaublicher Nebel! Nach rumprobieren stellen die 100x die optimale Vergrößerung dar. Höher geht und ist für Details auch gut. Sinnvoll kann man denke ich bis auf 230x gehen. Mit [OIII]-Filter werden viele Filamente sichtbar, zum Teil sind diese auch gedoppelt. Der Rand ist dabei streckenweise immer mal wieder stärker und schwächer und weist auch Teilstrecken auf, die einfach nur diffus sind. Sehr schöner Anblick und extrem schwierig zu zeichnen und zu beobachten.

Der Himmel ist heute wirklich gut. Es zeigen sich zwar hin und wieder Wolken, die im Süden vorbeiziehen, aber uns tangieren sie kaum. Hin und wieder verirrt sich auch mal eine Wolke auch zu uns, aber wenige Minuten später ist sie schon wieder weg.

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![[NGC 772]]

Sternförmiges, aber unscheinbares Zentrum. Innerer Galaxienkörper oval, hell und diffus, äußerer schwächer, breiter und diffuser, fast komplett umlaufender Arm, an dessen nördlicher Seite ein, heller, langgestreckter, zeigerartiger Spiralarm abgeht, wobei sich recht schwer zwei Knoten zeigen. 

!Jupiter

Mathias ist unterdessen schon beim abbauen. Ich schau mir - wie er zuvor -  noch mal Jupiter an. Und Jupiter sieht wirklich gut aus. Es ist sogar ein Schattendurchgang zu sehen. Das Seeing ist phasenweise richtig gut.

[[<< Zurück zur letzten Nacht|18. August 2023 - Lange Rhön]] | [[Weiter zur nächsten Nacht >>|21. August 2023 - Lange Rhön]]

Immer wieder schön hier zu sein. Hier leben tatsächlich recht wenige Menschen und abseits der Dörfer trifft man selten auf jemanden.

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Wolken sind angekündigt und sind auch tatsächlich angekommen. Daher werde ich heute nicht beobachten und morgen zum Calar Alto, dem berühmten deutsch spanischen Observatorium in Almería, aufbrechen.

Doch zunächst werde ich noch mal die Gegend erkunden, die mir so gut gefällt.

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Auf den beiden Fotos, die von der Bergstraße hinauf zum Pinar de Araceli gemacht habe, ist rechts oben das Bergdorf Santiago de la Espada zu erkennen. Es liegt auf etwa 1300 m üNN. Die Sierra selbst liegt auf 1600 und circa 1800 m üNN. Höchste Berge gehen hoch bis auf 2300 m, z.B. La Sagra, sind aber mit dem Auto nicht zu erreichen, da häufig keine Straße hinauf führt. Dies ist aber nicht unbedingt ein Nachteil, denn auf 1600-1800 m Höhe trifft man häufig auf weniger Wind. In den Gipfellagen sieht das natürlich anders aus.

Auch wandern kann man hier gut. Von hier aus ist die Sierra Nevada von den Gipfelregionen aus leicht erkennbar. 

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Die Gegend ist dünn besiedelt. Die Dörfer haben häufig nur wenige hunderte Einwohner. Daher hält sich auch die Lichtverschmutzung in Grenzen. Dennoch ist sie wahrnehmbar, vor allen Dingen fotografisch. Trotzdem gehört der Himmel zu einem der besten, den Kontinentaleuropa mit Blick auf relativ gute Wetterbedingungen zu bieten hat. Ein anderer guter Spot in Spanien ist der Alto Tajo, allerdings liegt er über 300 km weiter nördlich und ist daher wettertechnisch nicht so sicher wie der Südosten. Dies gilt sogar im Sommer, wo im Norden sich ähnlich wie bei uns häufig Gewitter entladen können. Hier hingegen ist das die absolute Ausnahme.

!Campos de Hernan Perea

Neben den Hochlagen der Sierra de Segura schließen sich auch im Westen die Campos de Hernan Perea an, ebenfalls ein Hochebene mit einer Ausdehnung von 5000 ha, in der auch keine menschliche Siedlung gelegen ist. Aufgrund ihrer westlichen Lage, ist sie allerdings der Lichtverschmutzung von Granada teilweise schon ausgesetzt. Trotzdem handelt es sich um eine landschaftlich einmalige und unverwechselbare Umgebung. Man fühlt sich wie in einem Traum versetzt, wenn man die Hochebene das erste Mal tatsächlich sieht. So geht es mir zumindest.

Man erreicht sie über das durch Dorf Don Domingo, das etwa ein Dutzend Häuser zählt.

Dort endet auch die asphaltierte Straße, und wenn man rechts an den Bäumen vorbei abbiegt, geht sie in einen Feldweg über. Dieser ist dieses Jahr in erstaunlich gutem Zustand, und lässt sich mit einem Kleinwagen ganz gut befahren. 

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Zunächst kommt man noch durch einen Pinienwald, der sich aber zunehmend lichtet und mit zunehmender Höhe immer weniger Vegetation zeigt.

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Dornensträucher säumen häufig die Landschaft, in den Schluchten wachsen Pappeln.

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Schließlich zeigt sich fast gar keine Vegetation mehr. Hier wird intensive Viehwirtschaft mit Schafen und Ziegen betrieben, die Landschaft in das verwandeln, was tatsächlich einer Mondlandschaft gleicht.

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Die erste Schutzhütte ist nach etwa 30 Minuten mit dem Auto erreichbar. Hier kann man sehr gut beobachten und die Landschaft scheint tatsächlich wie aus einem Planetariumsprogramm geschnitten zu sein. Nachts ist das Feeling hier oben unbeschreiblich. Ein magischer Ort, ähnlich wie zum Beispiel der Roque de los Muchachos.

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Die nahen Gipfel kann man gut zu Fuß erklimmen. Der Blick von hier oben ist einfach unbeschreiblich. 

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Richtung Südwesten nimmt die Vegetation dann wieder etwas zu und geht dann schließlich in eine Wald- beziehungsweise Parklandschaft über. Dann befindet man sich in einer ebenfalls gut bekannten Region, die Carzorla heißt.

!!!''Weiter zur Fotogalerie auf [[Flickr >>|https://www.flickr.com/gp/106029581@N02/ZM8fv29v7u]]''

[[<< Zurück zum Tag davor|19. Dezember 2022 - Pinar de Araceli]] | [[Weiter zum nächsten Tag >>|21. Dezember 2022 - Besuch auf dem Calar Alto]]

Llanos de las Animas, am Wasserrevoir. Vielleicht die letzte Nacht. Morgen geht der Mond erst um ca. 22:40 Uhr unter. Mal schauen. Habe ein wenig mit mir gekämpft. Hier oben gibt es schon Wind. Am Reventon 500m tiefer nicht. Egal, ich will gutes Seeing haben. Und werde belohnt. Ist nicht perfekt, aber ganz Ok. Heute soll es endlich mit den PN‘s weitergehen.

Obwohl der Mond noch stört, zeigt das SQM-L etwa 90 Grad versetzt Werte von 21.48 an. Kaum zu glauben. In der Rhön wären dies Spitzenwerte für eine Winternacht.

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Zum Einsehen gibt es Mirach‘s Geist oder [[NGC 404|NGC 404 - Mirach's Geist]]: Ovale, helle Galaxie mit sternartigem Zentrum. Weist kräftige Heligkeitszunahme zum Zentrum hin aus, so daß ein recht heller Nukleus zu sehen ist. Galaxienkörper läuft diffus aus. 

Eigentlich ein alter Bekannter: Sh2-176. Schwieriges Objekt in jeder Hinsicht. Trotzdem erkenne ich einen schwachen diffusen Bogen um einen Doppelstern. Interessanterweise erkenne ich sogar die korrekte Orientierung des schwächeren Teils gen grob Westen, was durch den POSS-Kartenvergleich klar wird. Trotzdem grenzwertige Beobachtung, das gebe ich gerne zu. Ich habe das Objekt noch mal angefahren, da mir keine positiven Beobachtungen bekannt sind. Meine Beobachtung war mit 65 facher Vergrößerung und OIII- Filter. 

Der Wind saust wieder durch den Wald. Der Uhu ist somit leider nicht mehr zu hören. Hoffe er macht keinen Ärger, der Wind. Im Zweifel baue ich einfach ab und weiter unten wieder auf.

[[Heckathorn-Fesen-Gull 1]]: Sofort bei 65 fach und OIII-Filter sichtbar. Deutlich einfacher als Sh2-176. Groß, rund und nach Südosten zum Rand hin heller werdend. Relativ gut abgegrenzt. Am Nebelrand und auch im Nebel sind vereinzelt schwache Sterne zu erkennen. Diese stören aber nicht, da der Nebel viel zu groß und zu hell ist. Ohne Filter ist der Nebel auch ganz schwach erkennbar, insbesondere dann, wenn man das Teleskop schwenkt. Wahnsinn! UHC noch probiert. Funktioniert aber schlechter als OIII. SQM-L 21.6.

[[IC 289]]: Ovaler, recht heller Nebel, der schon bei 65 fach zu sehen ist. Bei 430 fach zeigt sich ein ovaler Nebel, der sich bei geduldiger Beobachtung in einen Ring wandelt, dessen Inneres gefüllt ist. Blickweise werden auf dem Rand drei hellere Knoten sichtbar und ich glaube ab und an einen sehr, sehr schwachen ZS auszumachen. OIII-Filter bringt an diesem Objekt nichts.

[[NGC 1501]]: Ovaler, großer, heller Nebel. Schon bei 65 fach auffällig. Kann ohne Probleme bis auf 430 fach vergrößert werden, ohne daß das Objekt an Helligkeit groß einbüßt. Es zeigt sich ein gefüllter Ring mit ZS, der hellere Segmente aufweist und hin zur großen Halbachse im Ringbereich schwächer bis diffus wird. Sehr schönes Objekt!

Wollte mich gerade aufmachen zum Abstieg, um einen Beobachter kurz zu besuchen, den ich anhand des Rot- (und Weißlichts 🙄) von meinem Beobachtungsplatz hier oben ausgemacht hatte. War schon vielleicht 50m runter als ich bemerkte, dass er viel weiter weg ist, als ich dachte. Er steht nicht an der nächsten Kehre sondern eine weiter, da mache ich dann doch kehrt, da dies zum einen lange dauert und auf 2000m üNN der Rückweg doch recht anstrengend wird.

Das Seeing könnte besser sein. Es ist wieder bis auf 3-4 abgerutscht. Zeitweise aber auch mal wieder besser, so daß man von einer zwei sprechen kann. Mit bloßem Auge zittern alle Sterne. Aber so schlecht ist das Seeing dann auch wieder nicht. Eine ähnliche Erfahrung hatte ich auch schon in Namibia gemacht.

[[IC 348]]: Einfach aufzufinden, da direkt neben sehr hellem Stern gelegen. Direkt daneben zeigt sich der gleichnamige OS bestehend aus ca. einem Dutzend Sternen. Um ein kleines, helles Sternendreieck ist ein unregelmäßiger Nebel zu erkennen. Nach kurzer Zeit zeigt sich, dass der ganze OS, dessen Sterne in einem Kreis angeordnet sind, teilweise ebenfalls von schwächerem Nebel umgeben sind. Erinnert irgendwie ein bisschen an die Plejaden.

[[Jonckheere 320]]: Heller PN, der zunächst kaum von einem Stern zu unterscheiden ist. Reagiert gut auf OIII. Bei 430 fach wirkt er rund, hell und mittig zeigt sich ein schwacher ZS in Momenten guten Seeings. Seeing 2-3.

''Peimbert-Batiz 1 (Peimbert 1)'': An der richtigen Stelle wird sofort ein kleiner, winziger, runder Nebelball sichtbar. Von den umstehenden Sternen nur unterscheidbar, da Durchmesser einen Ticken größer, als im Vergleich zu gleich hellen Sternen in der Nachbarschaft. Seeing schlecht, 4.

Der Sternenhimmel wackelt und die Momente, in denen die Sterne in Momenten zu kleinen Punkten schrumpfen, werden immer weniger. Die PN‘s hier weiter zu machen, macht keinen Sinn. Es ist aber erst halb drei.

[[Ellis-Grayson-Bond (EGB) 6]]: Im Beobachtungsgebiet gibt es nur schwache Sterne. Damit sind die Voraussetzungen für die OIII-Filterbeobachtung gut. Bei 40 fach (AP > 8mm) und OIII wird zunächst abseits der in ~SkySafari angezeigten Position ein unscheinbares Glimmen sichtbar. Sichelförmig, nach Westen hin diffus auslaufend. Insgesamt zeigt sich dennoch ein runder Nebel in der Gesamtform, der riesig ist. Bei 65 fach (AP 5.4mm) ebenfalls gut zu erkennen, bei 40mm aber besser, wobei 65 fach der Kontrolle dient, dass schwache Sterne, insbesondere Gruppen, nicht den Nebel nur vortäuschen. Tun sie auch nicht, da zu verstreut und zu schwach. Mache eine Skizze und schaue mir dann hier das POSS-Bild im Nachhinein an: Volltreffer! Sowohl Ort des Nebels insgesamt, als auch die Sichel habe ich richtig erkannt. Deshalb auch sichere Beobachtung. 21.82 zeigt das SQM-L im Mittel im Beobachtungsgebiet, welches fast im Zenit steht an. Temperatur +5 Grad Celsius. Transparenz hervorragend. Ort: Llanos de las Animas, 2020m üNN. 03:00 Uhr UT.

[[Longmore-Tritton 5]]: Nachbeobachtung. Trotz EGB 6 als Vorgänger ist dieser PN richtig schwer. Am Besten bei 65 fach und OIII-Filter. Habe den Eindruck, dass etwa in O-W Richtung der Nebel zwei gegenüberliegende, symmetrische Segmente zeigt, die etwas heller als der sonst rund und diffus erscheinende Nebel sind.

Ich schaue mir noch einige Dinge an, ein paar Galaxien halt. Bis 168 fach ist das Seeing sehr brauchbar, was mich wundert, da mit Brille alle Sterne szintillieren, ohne hingegen einfach nur wackeln. Trotzdem ist das Seeing im Teleskop besser als die vorangegangenen Nächte, wo die Sterne einfach nur aufgeblasen waren. Das ist heute nicht so. Offenbar liegt es an der Frequenz der Szintillation, die heute aufgrund des etwas zurück gegangenen Windes ebenfalls kleiner geworden ist. Ist schon komisch. Gegen 05:00 Uhr packe ich dann alles zusammen. Schöner Abschluss. Hoffe nur, dass morgen das Seeing nicht wieder besser wird, wie von meteoblue vorhergesagt. Mal schauen, ob ich morgen nochmal beobachte.

Auf der Abfahrt komme ich auch am Standort des Mitbeobachters vorbei. Nix zu sehen. Schon weg. Der schläft wahrscheinlich schon tief und fest.

[[<<Zurück zur vorangegangenen Nacht|19. Januar 2018 - La Palma]] | [[Zurück zum Artikel>>|La Palma im Januar 2018]]

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An der Viehtränke kann ich heute nicht aufbauen, da der Schäfer direkt auf dem Platz seinen Anhänger abgestellt hat. Also geht es weiter zum bekannten Platz, der mit 1730m üNN circa 100 m höher liegt. Angekommen möchte ich am liebsten wieder flüchten, da es doch recht windig ist. Entschließe mich aber schließlich zu bleiben und entdecke, wie etwa 200m entfernt Schafe und Ziegen weiden. Der Wind legt sich und es zeigt sich, dass ich mich richtig entschieden hatte. Als es dämmert zieht die Herde fressend und schmatzend an mir vorbei. Im Nordwesten liegt eine fette Wolkenbank. Zum Glück bleibt sie dort.

Erstes Objekt ist - wie gestern - Minkowski 1-92 - Minkowski's Fußabdruck.

[[Minkowski 1-92 - Minkowski's Fußabdruck]]: Wie gestern auch, ist zunächst bei 420 fach ein kleiner Doppelstern sichtbar. Bei Steigerung der Vergrößerung auf 800 fach ist nicht viel mehr zu erkennen. Der hellere Teil ist aufgebläht und in etwa so groß wie der südwestlich stehende, helle Nachbarstern. Der südöstliche gelegene schwächere Teil, ist kometenartig. Letztlich bleibt die Form Spekulation, da das Seeing einfach zu schlecht ist.

Nach einer Pause beobachte ich mit bloßem Auge und mit dem Feldstecher. Zunächst den Nordamerikanebel. Ist mit bloßem Auge als helles Objekt erkennbar. Einzig die "Wall" setzt sich schwach fort und ist nicht so gut zu erkennen. Parallel schaue ich immer wieder mit dem Feldstecher, um die Verortung des Objekts zu prüfen. Die südliche Sommermilchstraße ist im Feldstecher auch ein Gedicht.

Ich schaue wieder mal durch das Teleskop. Huch: Das Seeing ist wieder besser geworden! Wieder geht es auf Minkowski 1-92.

[[Minkowski 1-92 - Minkowski's Fußabdruck]]: Jetzt wird endlich bei über 1000 fach der hellere Nebelteil eindeutig als flächenenhaftes Objekt sichtbar. Der helle Nachbarstern südwestlich ist jetzt eindeutig "kleiner", fast punktförmig und es sind seine scharf abgegrenzten Beugungsringe zu erkennen. Der helle Nebelteil zeigt sich schließlich als kleiner, gedrungener Halbkreis, der nach Westen hin offen ist. Der schwache, östlich liegende Teil, ist indirekt schwierig zu erkennen, zeigt sich aber runder winziger Nebelball in der Mitte und läuft nach Osten diffus aus. Form dreieckig. Auf jeden Fall kleiner als in der  vorangegangenen Beobachtung, wo das Seeing offensichtlich den Nebel verschmiert hat. Das (jetzt) sehr gute Seeing sorgt auch dafür, dass weitere Sterne in der Nähe, einer etwas abseits der Verbindungslinie zum hellen Stern, sowie einer nördlich des Nebels selbst, sichtbar werden.

Plötzlich stehe ich im Scheinwerferlicht. Scheint von der Feuerwache rüber. Der Wächter schaut wohl, was ich hier treibe. Dauert aber nur kurz und zwei Minuten später sehe ich, wie er den Berg hinunter fährt. Pünktlich um Mitternacht. Da das Seeing leider wieder einbricht, suche ich ein größeres Objekt raus. Über etwa eine Stunde messe ich bereits mit dem SQM-L sehr gute Werte um 21.86 im Zenit. 

[[Simeiz 22]]: Bei 65 facher Vergrößerung und OIII-Filter wird ein ganz schwacher Nebelbogen sichtbar. Ist zunächst kaum zu erkennen, wird dann aber gut sichtbar. Kann indirekt gehalten werden. Sternengruppe am östlichen Ende stört die Beobachtung sehr. Von dort aus wird der halbkreisförmige Nebelbogen gut definiert sichtbar, um dann etwa auf halber Höhe - schwächer werdend - diffus auszulaufen. Insgesamt ist eine Sichel erkennbar, die nicht ganz einen Halbreis zeigt. Wenn man die genaue Position nicht kennt, ist es sehr schwer den Nebel in der reichen Milchstraße der Cassiopeia aufzuspüren.

Das Seeing ist immer noch recht schlecht und so schließe ich schließlich mit dem Alternativprogramm weiterzumachen.

''IC 4954/55'': Bei IC 4955 handelt es sich um den schwächeren Teil. Er wird bei 65 diffus sichtbar. UHC hilft etwas. Dann hebt sich der Nebel etwas deutlicher von der reichen Sommermilchstraße ab. Bei IC 4954 handelt es sich um einen relativ hellen Nebel, den eine ganze Reihe von recht hellen Sternen umgeben. Er zerfällt in verschiedene hellere Teile, die von der Form her rund bis oval sind. Hier hilft der UHC-Filter leider nicht. An einer Stelle ist sogar eine kleine Sichel erkennbar, die offenbar eine Schockfront darstellt. Bei diesem Objekt handelt es sich um einen Sternentstehungsgebiet, wobei die bereits entstandenen Sterne bereits 6 Millionen Jahre alt sein sollen. Die Sterne gehören zum offenen Sternhaufen Rosslund 4, der etwa 5000 Lichtjahre von der Erde entfernt sein soll.

Ein prüfender Blick durch das Teleskop offenbart, dass das Seeing wieder hervorragend sein muss. Also wieder zurück zu den PN's.

[[Minkowski 1-64]]: Bei 430 fach wird südlich - neben einem gut erkennbaren Stern - ein kleiner, runder Nebel sichtbar. Ringform angedeutet. Nordöstlich ist dieser zum Stern hin heller. Bei Steigerung der Vergrößerung auf ca. 800 fach kann die Ringform bestätigt werden. Insgesamt ist der Nebel jetzt nur noch schwach erkennbar. Inneres ist aber eindeutig etwas dunkler. Inneres etwas breiter als der Ring selbst und mit schwachem Nebel gefüllt. 

Ich muss mich sputen, denn die Wolkenbank aus Nordwesten rückt jetzt deutlich vor. Das Bild wird während der Beobachtung schon deutlich dunkler. Ein Blick auf den Himmel klärt, dass die Wolken die Leier schon fast vollständig bedeckt haben. 

Das Seeing war zunächst diese Nacht schlecht und wurde dann zum Ende der Nacht hin hervorragend. Zwischendrin gab es mal immer wieder gute Momente. Das deckt sich übrigens auch mit den Aufzeichnungen des Seeingmonitors von Calar Alto. Es startet dort um 1" gegen 22:00 Uhr um dann auf [[0.5"|http://w3.caha.es/SEEING/HISTORIC/hgrafica.php?dd=20&mm=07&yy=2017]] zu fallen. Später dann wieder schlechter. <!--Noch ein Wort zur Seeingvorhersage von meteoblue.com. Das Seeing war wie von Meteoblue.com vorhergesagt worden ist recht gut. Die Variationen geschenkt. 2:0 für Meteoblue. Wobei noch nichts gewonnden ist, da dies auch purer Zufall sein kann.-->

[[<<Zurück zur vorangegangenen Nacht|19. Juli 2017 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|21. Juli 2017 - Pinar de Araceli]]

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<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:15px;">

![[ESO 34-11 - Cartwheel Galaxy]]

{{ESO 34-11 - Cartwheel Galaxy}}

![[NGC 2997]]


{{NGC 2997}}


![[M83]]


{{M83}}

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Es ist wieder mal klar. Fast windstill. Und nachts sinken die Temperaturen auf +3 °C. Die SQM-L Werte werden wie üblich von 21.76 zu deutlich schlechteren Werten um 21.4 zum Morgen hin variieren. Die schlechter werdenden Werte haben mich eine ganze Zeit beschäftigt. Zumal ein Mitbeobachter das gleiche Gerät hat und die gleichen Werte gemessen hat. Auch im zeitlichen Verlauf. Wolken, wenn auch sehr dünne, kann man ausschließen, da ich in einigen Nächten Fotos vom Himmel für ein Panorama gemacht habe. Dort war nicht eine Wolke zu sehen. Ein Mitbeobachter äußert die Theorie, dass es an der hohen Milchstraße liege, die den Himmel aufhellen würde. Klingt für mich erst mal plausibel.

Heute muss ich mal auf die Tube drücken. Ich habe noch eine gewaltige Liste vor mir. Ich nehme mir vor nicht mehr so viel zu zeichnen und so lang zu gucken. Heute steht das Gebiet rund um den Eta Carinae Nebel auf dem Programm. 

Erstes Objekt ist der zunehmende Mond. Schon mit bloßem Auge ist das aschgraue Licht schön erkennbar. Mit zunehmender Dämmerung werden im aschgrauen Licht viele Strukturen des Mondes sichtbar. Am südlichen Mondrand sind insbesondere drei einzelne Bergspitzen hell erleuchtet erkennbar. Genial!
Jupiter zeigt sich etwas unruhig. Vermutlich, da der Spiegel noch nicht ausgekühlt ist. Dennoch wird ein Mond zwischen den beiden Wolkenbändern gesichtet, so wie der Große Rote Fleck in Randnähe. 

''ESO 34-11, 19:20 Uhr:'' Die berühmte "Cartweel"-Galaxie. Zunächst sieht man eine Gruppe aus vier Galaxien, wobei eine deutlich heller ist. Nach einer Weile geduldiger Beobachtung bei 280 fach bemerke ich, dass dies nur drei Galaxien sind. Die hellste hat einen elliptischen Ring, der nach intensiver Beobachtung eine helle Kante im Westen und im Osten hat. Der relativ helle Galaxienkern steht im östlichen Brennpunkt der Ellipse.

''NGC 2997, 22:50 Uhr:'' Wunderschöne Spiralgalaxie. Bei 180 fach sind drei prominente Spiralarme zu erkennen.

''NGC 3347 Gruppe, 23:35 Uhr:'' Interessante Galaxiengruppe um NGC 3347. A Komponente länglich mit zwei Vordergrundsternen im Galaxienkörper. C Komponente direkt nordöstlich, die schwach indirekt gerade so gehalten werden kann. NGC 3347 selbst hat recht hellen Galaxienkern mit zwei nördlich und südlich, d.h. 180°, abgehenden Spiralarmen. Neben dem Galaxienkern schwacher Vordergrundstern. Nördlicher Spiralarm weist am Ende einen ovalen etwas helleren Knoten auf. Beide Spiralarme sind leicht gebogen. Östlich weitere kleine linsenförmige Galaxie NGC 3354, sowie weiter östlich NGC 3358. NGC 3347 B liegt südlich in einigem Abstand und ist spindelförmig mit Helligkeitszunahme zum Zentrum hin.

''NGC 3324, 0:10 Uhr:'' In direkter Nachbarschaft zum Eta Carinae Nebel und direkt neben den "Gem"-Cluster. Heller gebogener Nebel. An der Westseite helle, fast geradlinig verlaufende, scharf abgegrenzte Kante. Nordöstlich diffus auslaufend. Bei längerer Betrachtung wirken die hellen Nebelteile wie eine Acht. In den Nebel eingebettet steht der gleichnamige offene Sternhaufen, der recht unscheinbar wirkt.

So nun folgt der eigentliche Einstieg ins heutige Programm.

''NGC 3199, Bright Nebula in Carina, 0:30 Uhr:'' Bei minimaler Vergrößerung schwacher diffuser Nebel. Im Nebel sind schwache Sterne eingebettet. Nierenförmig. Östlicher Teil etwas größer und heller mit eingebettetem einzelnen Stern. Reagiert auf Filter.

''NGC 3532, Open Cluster in Carina, 0:40 Uhr:'' Ebenfalls in Nachbarschaft zum Eta Carinae Nebel. Sehr locker verstreute Sterne über fast ein Quadratgrad. Farbe der Sterne weiß bis bläulich. Im Feldstecher fast noch interessanter. Dort erscheint der Sternhaufen länglich.

''NGC 3576 & NGC 3579, Bright Nebula in Carina, 01:00 Uhr:'' Liegt direkt neben NGC 3579. Form unregelmäßig, leicht U-förmig. Reagiert gut auf UHC-Filter. Direkt daneben NGC 3579 ist länglich, mit südwestlich orientiertem kurzen Balken und mit hellen Knoten an den Enden. Südöstlich versprengter, länglicher, sehr schwacher Nebelteil.

''NGC 3603, Bright Nebula in Carina, 01:10 Uhr:'' Direkt unterhalb, d.h. östlich von NGC 3579. Bei hundertfacher Vergrößerung passen Sie in ein Gesichtsfeld. Ovaler Nebel. Östlich heller und größer mit eingebettetem helleren Stern. Weitere schwache Sterne innerhalb des Nebels. Springt gut auf UHC-Filter an. 

Jetzt geht es zu weiteren Galaxien im Centaurus.

''NGC 4603, 01:25 Uhr:'' Ovale diffuse Galaxie ohne Helligkeitszunahme zum Zentrum hin. Zwei Vordergrundsterne in Randnähe. Nördlich ist weitere kleine, spindelförmige Galaxie NGC 4601 erkennbar.

''NGC 4650 Gruppe, 01:50 Uhr:'' Im Zielgebiet liegen viele Galaxien. Hier muss man aufpassen wo man hinguckt, sonst erwischt man gegebenenfalls die falschen. NGC 4650 ist eine ovale unscheinbare Galaxie mit leichter Helligkeitzunahme zum Zentrum hin.
NGC 4650 A hingegen ist eine spindelförmige Galaxie und ebenfalls mit Helligkeitszunahme zum Zentrum hin. Vom bzw. von den Polarringen nichts definitives bzw. eindeutiges gesehen. Die Galaxie steht mittlerweile auch relativ tief, so dass das Seeing nicht besonders gut ist. Nur bis 280 fach vergrößert. Darüber hinaus aufgrund der Bedingung nicht sinnvoll. Kommt morgen wieder auf die Liste.

''M83, 2:50 Uhr:'' Genial! Bei hundertfach sind alle Phänomene der Galaxie bereits erkennbar. Balkenspirale mit drei sich um das Zentrum windenden Spiralearmen. Zentrum hell diffus auslaufend. 

''Phoenix Dwarf, 4:00 Uhr:'' Ovales Glimmen bei maximaler AP. Befindet sich in einer relativ sternleeren Gegend, kann aber trotzdem relativ gut aufgesucht werden. Bei geduldiger Beobachtung werden schon bei minimaler Vergrößerung von 100 fach einzelne Sterne am Rande sichtbar. Bei Steigerung der Vergrößerung auf 180 fach kann man circa drei schwächere Sterne am Rand und einige mehr in der Galaxie selbst sehen. Bei Steigerung der Vergrößerung säuft die Galaxie ab. Bei geduldiger Beobachtung mit 180 facher Vergrößerung wirkt die Zwerggalaxie unruhig und irgendwie gemottelt.

''NGC 362, 4:30 Uhr:'' Kurz vor 5:00 Uhr steht heute NGC 362 mittlerweile ausreichend hoch. Bei 280 fach zeigt sich der Kugelsternhaufen aufgelöst bis ins Zentrum. Sieht ein bisschen aus wie die Miniaturausgabe von 47 Tucanae. Insgesamt ist er relativ klein. Aber kann schon mit bloßem Auge indirekt, wenn auch etwas mühevoll gesehen werden.

''M57, 5:00 Uhr:'' Der Zentralstern kann direkt bei 460 fach gesehen werden. Den Nebel umgibt ein mehr oder weniger gut an die Nebelform angepasster recht heller Halo. Filter leider nicht mehr probiert. Kommt noch mal auf die Liste.

So, wieder bis zur Dämmerung beobachtet. Schnell ins Bett!

[[Weiter zur nächsten Nacht>>|21. Mai 2015 Tivoli]]

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Tagsüber sehr windig. Am Abend dann aber windstill. Gute Bedingungen. Beginne heute mit einem All Sky Panorama.

Nach dem Abendessen ist der Butterfly Nebel das erste Objekt: Doch zunächst wird als Ausgangspunkt NGC 2519 eingestellt.

''NGC 2516'': Sehr heller Sternhaufen, der bereits mit bloßem Auge leicht sichtbar ist. Bei 100 komplett aufgelöst und ein Gewimmel aus sehr hellen überwiegend weißen Sternen. Im Zentrum einige blaue und rötliche Sterne. Werden - wohl auch wegen ihrer Ähnlichkeit zum nördlichen Pendant M44- südliche Praesepe M44 genannt.

[[IC 2220 - Butterfly Nebel]]: Bei 100 fach unscheinbares Glimmen um einen hellen orangenen Stern. Bei 280 fach zeigt sich ein zunächst gebogener Nebel, in dessen Mitte weiterhin der Stern steht. Reagiert nicht gut auf OIII- und auch nicht auf UHC-Filter. Bei geduldiger Beobachtung zeigt sich gegenüber dem hellen Bogen in nordöstlicher Richtung eine kleine unscheinbare Zange bzw. Blase, deren gut definierte Bögen sich zwar zu einem Kreis zu vereinen scheinen, dies aber auf dem letzten Viertel nicht tun. Dabei ist der östliche Bogen besser definiert. Der nach Nordosten abgehende hingegen nur schwer erkennbar. Unter dem östlichen Bogen geht ein weiterer diffuser Bogen südöstlich des Sterns ab. Insgesamt zeigt sich tatsächlich so etwas wie ein "Schmetterling".

Das Seeing ist heute ganz brauchbar. Besser als gestern. 21.86 misst das SQM-L im Mittel. Und die Temperaturen sind mit 6 Grad Celsius auch Ok.

Ich erhalte Besuch von zwei Sternfreunden aus Österreich. Ich zeige spontan den Jupiter und wir können den Durchgang von Io und seinem Schatten sehen. Das Seeing ist leider nicht so gut, dass man Io ad hoc erkennen kann, aber sein Schatten ist ein leichtes Objekt. 

[[NGC 3242 - Äußerer Halo von Jupiter's Geist|NGC 3242 - Äußerer Halo]]: Im nahen, kreisrunden Halo meint mein Mitbeobachter, zeige sich ein kreisrunder, diffuser Fleck, der etwas außerhalb liegt und zwar in der Mitte bzw. etwas unterhalb der Verbindungsstrecke zwischen PN und dem nächsten Stern.

__Kommentar:__ Am nächsten Tag schauen wir uns ein Foto an. Offenbar handelte es sich bei dem Fleck um einen schwachen Stern.

Es sind mittlerweile nur noch +4 Grad Celsius aber trotzdem fühlt es sich nicht zu kalt an. Dann geht es weiter zu Centaurus A. Ein guter Bekannter in der Nähe ist Omega Centauri. Im 25 Zöller bei 100 fach verschlägt es mir einfach die Sprache. Der helle Wahnsinn.

[[NGC 5128 - Centaurus A]]: Bei 100 fach wird die ovale Galaxie mit den markanten Staubband in der Mitte, sehr gut sichtbar. Im Staubband verläuft ein heller Streifen, der leicht geschwungen das Staubband längs teilt. Auf ihm werden auch schwache Sterne sichtbar. Eine Materiebrücke wird auf etwa halber Höhe erkennbar, die von Norden her in das Staubband ragt und auf den längsseitigen Streifen trifft.

Der Mond ist um 01:30 Uhr wieder mal im Anmarsch. Ich bin ein bisschen kaputt und so gehe ich dann doch ins Bett und beobachte nicht weiter.

[[<<Zurück zur vorherigen Nacht|19. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|21. Mai 2017 - Tivoli Astrofarm]]

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50481910173/in/dateposted/" title="Untitled"><img src="https://live.staticflickr.com/65535/50481910173_40c81325c3_h.jpg"></a>Am Teleskop. Die Lichtglocke im Süden (links) stammt von Los Llanos und ist den Calima Bedingungen geschuldet.</div> 

Der Himmel über der Insel hat sich von einem Blau in ein grau verwandelt. Höhencalima. Das soll die nächsten Tage andauern. Nun gut, dann kann man wenigstens mit sehr gutem Seeing rechnen. Himmel ist extrem seifig. Seeing ist aber in der Tat gut. Heute ist deshalb wohl ein Tag für helle PNs. Erstes Objekt ist wieder der „Katzenaugennebel“.

!![[NGC 6543 & IC 4677 - Katzenaugennebel]]

Bei hoher Vergrößerung (621 fach und 1200 fach) kann ich zunächst den Zentralstern und einen hellen Nebel mit kurzen Armen erkennen. Bei geduldiger Beobachtung wird dann eine innere elliptische Nebelschale sichtbar, auf deren westlichen Seiten symmetrisch zwei helle, sternförmige Knoten sichtbar sind. In den Apsiden gehen dann die hellen Arme ab, wobei der südliche zwei Knoten zeigt und der nördliche steiler verläuft und am Ende hin auch heller wird. Nord-Südlich, außerhalb des Nebels zeigen sich diffuse Ansen. Unweit befindet sich auch der hellste Teil des Halos, der unter IC 4677 firmiert. Er ist schon bei 164 facher Vergrößerung ohne Filter indirekt gut zu erkennen. Mit OIII wird er sehr deutlich und ist von der Form her rechteckig. Er zerfällt in 2-3 helle Knoten, die indirekt knapp nicht gehalten werden können. Trotzdem zeigen Sie sich immer wieder. Seeing 1-2.

Für helle planetarischen Nebel ist der Himmel ideal, denn hier spielt die Transparenz keine Rolle. Aber das Seeing und das ist stellenweise sehr gut. Daher mache ich weiter mit dem Saturnnebel. Dann geht es wieder zu ein paar „Funzeln“.

[[CRL 618 - Westbrook Nebel]]: Bei 255 fach nicht zu erkennen. Bei 418 fach dann an der richtigen Stelle immer wieder aufblitzend zu erkennen. Kann indirekt nicht gehalten werden. Auch nicht mit in der Nähe erkennbaren Stern verwechselt. Form länglich mit Helligkeitszunahme zum Zentrum hin. Zentrum aber nicht sternförmig. Sehr schwer, trotz 25 Zoll Öffnung.

[[Abell 14]]: Bei 255 fach und OIII wird an der richtigen Stelle ein längliches Glimmen sichtbar. Kann indirekt nicht gehalten werde. Blitzt aber immer wieder sicher auf. Entfernt man den OIII (Filterschieber) so taucht an der Stelle ein schwacher Stern auf (neben anderen gleich schwachen Sternen in einer Kette). Helligkeit des Sterns ist aber zu gering, um das Glimmen nur vorzutäuschen, insbesondere ist auch die Vergrößerung zu hoch und der (aufblitzende) Nebel in seiner Größe zu ausgedehnt. Daher als sichere Beobachtung eingestuft. Seeing 1-2.

Es ist mittlerweile 6:00 Uhr und die Kollegen werden immer nachlässiger! Sie verschwinden für ein Nickerchen im Bett und ihre Kameras und Montierungen machen die Aufnahmen. Es bleiben noch 40 Minuten und mein Verlangen nach neuen Objekten schwindet. Aber ich möchte mir noch mal den Orion-Nebel anschauen. Vielleicht auch den Pferdekopfnebel. Zuerst ist aber der Orionnebel dran. Mhhmmm... Irgendwie gewöhnt man sich an den Anblick im großen Teleskop. Dann IC 434. Der Pferdekopf ist mit Schnauze erkennbar. Aber schwieriger als gedacht. Ohne H-Beta Filter rein gar nichts zu sehen. Alnitak muss man dabei aber aus dem Gesichtsfeld „schmeißen“. 

So die vorletzte Nacht ist auch rum. Mit 21° C wieder warm. Calima halt. Mit SQM-L Werten um 21.55 eine lausige Nacht. 

[[<< Zurück zur vorangegangenen Nacht|19. September 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|21. September 2020 - La Palma]] 

Ich wollte schon immer mal wieder nach Stumpertenrod auf dem alten ITV-Gelände beobachten und die Wettervorhersage passte genau zu dieser Nacht und zu diesem Platz. Auf die Idee hat mich Timm gebracht, der den Platz empfahl.

In Erinnerung hatte ich noch das Treffen 2004 und ich erinnere mich daran, dass ich den Himmel nicht so toll in Erinnerung habe. Eine Nacht gab es Polarlichter und ich erhaschte sogar den einen oder anderen flüchtigen Blick durch ein Riesenteleskop mit einer Leiter, wo M51 im Bino eingestellt war. Der Anblick haute mich seinerzeit nicht so von den Socken, aber ich vermute das lag an meiner Unkenntnis oder Beobachtungstechnik oder gar beidem. Mittlerweile hat sich das aber geändert, zumindest hoffe ich das :)

Es sollte Aufklaren in Stumpertenrod, idyllisch gelegen im Vogelsbergkreis, und bis zum Mondaufgang halten. 7timer.com sagte eine sehr gute Transparenz vorher. Also entschloss ich mich nach Stumpertenrod zum alten ITV Gelände zu fahren. Das letzte Mal war ich 2004 zum Teleskoptreffen hier. Zum Sonnenuntergang traf ich pünktlich ein. Auf der Straße war es nass. Offenbar ging hier noch ein Schauer nieder. 
Vergessen ist das Zögern, aufgrund der Uneinheitlichkeit der Wettervorhersagen. Der Wolkenfilm der Tagesschau zeigte bedrohliche Wolkenpakete, aber eben auch Lücken. Manchmal muss man das Risiko eben einfach eingehen.

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Auf der Bergkuppe kurz vor Ankunft auf dem alten ITV-Gelände.

Zuvor auf der [[Webcam|http://www.sternenwelt-vogelsberg.de/IPCAM/webcam.php]] zeigte sich, dass hier wenige Enthusiasten die Feiertage über Ostern als Camper verbrachten.
Mir wurde schnell erklärt wie das hier funktioniert. Es gibt eine Toilette, sogar Duschen und die alte Anlage beherbergte auch einen beheizten Aufenthaltsraum. Sehr angenehm, und noch dazu mit Rotlicht abgedimmt.
So ging es so gleich an den Aufbau. Ein Kollege empfahl mir auf einem speziellen Dobson Platz aufzubauen. Hier gab es ein paar Steinplatten, die zudem recht gut nivelliert waren. Für den Aufbau benötigte ich diesmal etwas länger, da der Dobson noch von der letzten Reise  gut verpackt war.
Dämmerung setzte bereits langsam ein und dann bin ich schließlich auch beobachtungsbereit. 

<a href="https://www.flickr.com/photos/106029581@N02/13945897921" title="P1030602 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7227/13945897921_d6c5efcc2a_z.jpg"></a>

Blick Richtung Südwesten, wo der Orion gerade untergeht.

Der Orion ging gerade unter und der Fuhrmann bewegte sich auch zielstrebig zum Horizont. Während der Nacht nahm ich dann auch war, dass ich mich auf über 50° nördlicher Breite befand. Denn der Fuhrmann wollte einfach nicht untergehen. Es dauerte recht lange bis es dunkel war und schon vor Einsetzen der astronomischen Dämmerung schaute ich mir ein paar Schaustück an. Ziel sollte es heute nicht sein, hier sehr schwache Objekte anzufahren, sondern einfaches Genussspechteln. Schließlich blieben nur knapp drei Stunden. 

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Blick Richtung Norden.

!!20. April (Ostersonntag) - Stumpertenrod, altes ITV Gelände 22:00 bis ca. 03:00 Uhr

Klar mit abziehenden Wolken. Windstill. Es riecht nach Kuhfladen. Hin und wieder vorbeifahrende Autos.
So war das erste Objekt ''M51''. Die Spirale zeigte sich schon sehr schön, und der Himmelshintergrund war auch schon recht dunkel. Gegen 22:10 Uhr wurden lt. SQM-L im Zenit immerhin 21.17 erreicht. Doch dies sollte erst der Anfang sein, da der Himmel noch wesentlich besser wurde. 
''NGC 4494'': Hell und sehr groß; diffus auslaufend. Keine Strukturen erkennbar.
''NGC 4565'': spindelförmig lang und mit zentralem Bulge. Staubband teilt die Gx auf der gesamten Länge. Wunderbar!
''NGC 4631 und 4656'': 4656 ist deutlich gebogen und erstaunlich hell. Es zeigen sich Lichtknoten innerhalb der Galaxie. Bilden ein schönes Paar.

Mittlerweile sind die vorbeifahrenden Autos mit ihren hellen Scheinwerfern recht nervig. Jetzt aber kommt in voller Festbeleuchtung ein Wagen auf den Platz gefahren. Die Kollegen kamen sofort, um sich um die Touristen zu kümmern. Schließlich wurde ich gefragt, ob ich ein paar Highlights zeigen können. Also wurden nacheinander ''M51'', ''M13'' sowie ''NGC 4565'' angefahren. Die Objekte sehen mittlerweile auch sehr gut aus, und die Nacht war wirklich klar und dunkel. Zum Glück mussten die Kollegen wieder in die Sternwarte um ihre Aufnahmeserie zu vervollständigen, sonst wären die Leute wohl die ganze Nacht geblieben. Ich schaute mir derweil das ''Leo-Triplet'' an, was trotz der bereits vorgerückten Stellung am Südwesthimmel immer noch eine beeindruckende Figur abgab.

Nach Mitternacht kletterte das SQM-L auf 21.58 in Zenit. Auch abseits des Zenits zum Beispiel in der Coma Berenices sanken die Werte nur unerheblich. Lediglich am Horizont, wo die übliche Lichtverschmutzung sichtbar war, brachen die Werte ein. Hätte niemals gedacht, dass es hier einen solch dunklen Himmel gibt. So ging es weiter mit den siamesischen Zwillingen ''NGC 4568 und 4567'': Zwei elliptische Galaxien mit schwachen stellaren Kernen. Helligkeitszunahme zum Zentrum hin. Diffus auslaufend.

''M64'': Galaxie mit dem schwarzen Auge. Sehr hell. Verträgt daher auch höhere Vergrößerungen. Bei 168 fach zeigt sich eine große elliptische Galaxie mit nierenförmigen Dunkelband, dass sich um das Zentrum legt. Sehr beeindruckend! Der Astrofotografiekollege schaut auch mit. Der Kollege empfiehlt ''NGC 4725'': Es zeigt sich eine Balkenspirale mit einem hellem Zentrum. Diffus auslaufend mit elliptischen Ring. 

Bei so gutem Himmel wollte ich mir weitere Galaxien im Zenit anschauen, quasi das Maximale herausholen. ''M81 & M 82''. unbeschreiblich! Noch mal ''M51 & M 101''. Mich haut es fast von den Socken! Beide Galaxien sehen wirklich unglaublich strukturreich aus. Der Himmel scheint wirklich heute sehr gut zu sein. Kann mich vom Okular kaum lösen. Gegen 2:00 Uhr wird am Osthorizont eine Aufhellung sichtbar. Der Mond ist im Anmarsch. So stelle ich ein paar helle Objekte zum Abschluss ein: ''M13'' sowie ''M57''. Leider war das Seeing diese Nacht nicht besonders gut und so versuche ich schließlich auch Mars. Aber wie befürchtet, zeigen sich überhaupt keine Details. Der Mars wabert sehr unruhig im Okular herum. So besuchte ich schließlich noch ''NGC 6229'', der als Empfehlung für Landbeobachter in der aktuellen interstellarum als Tipp erschien. Erst bei dreihundertfacher Vergrößerung wird der Haufen nahezu aufgelöst, wobei sich die Beobachtung aufgrund des schlechten Seeings schwierig gestaltet. Gegen 3:00 Uhr packe ich meine Sachen schließlich zusammen. Die Kollegen hatten sich gerade von mir verabschiedet. Haben noch ein kleines Schwätzchen gehalten. Sie betonten, dass der Autoverkehr in der Regel geringer ist. Beide meinten auch, dass dies nicht unbedingt eine Ausnahmenacht sei. Na dann will ich die auch mal sehen!  Bei den Campern ist mittlerweile auch Ruhe eingekehrt. So baue ich alles ab und gegen 3:20 Uhr bin ich abfahrbereit. Mittlerweile waren auch hohe Wolken im Anmarsch und haben den Himmel größtenteils bedeckt. Der Mond begleitet mich auf meiner Heimfahrt über die Autobahn. Etwa eine Stunde später bin ich zurück in Frankfurt und glücklich diese Nacht genutzt zu haben. 

Anbei die Messungen des SQM-L der Nacht: 22:10 Uhr 21.17, 22:17 Uhr 21.32, 22:45 Uhr 21.41 und + 8° Celsius. 23:00 Uhr 21.46 und 21.42 in der Coma Berenices. 21.56 um 0 Uhr. Sowie 21.58 um 0:20 Uhr. Alle Messungen im Zenit soweit nicht abweichend angegeben. Temperatur fällt auf +6° Celsius ab.
Dieser Beobachtungsplatz ist wirklich sehr gut. Die Messwerte brechen lediglich in Horizontnähe stark ein. Das deckt sich auch mit den Beobachtungen am Teleskop. Der Himmel ist dunkel und die Lichtverschmutzung hält sich in Grenzen. Einzig die nahe Straße mit dem Verkehr, stört doch sehr. Die Windräder im Süden stören die Kulisse kaum, selbst wenn das Rauschen der Rotorblätter bis auf den  Platz zu hören ist. Aber die Flugzeuge sind ja noch lauter. Das schaut so aus, als würde dieser Platz zu meiner Favoriten werden. Schaun mer mal. Übrigens, Sorry für die Rechtschreibung und gelegentlich sinnfreien Wortkombinationen. Siri ist dran schuld ;)

Etwas unerwartet bot sich kurzfristig die Gelegenheit zu Beobachten. Die Temperaturen sollten auch angenehm sein. Also ging es schnell nach Stumpi. Kurz nach Sonnenuntergang traf ich ein. Außer mir und einem geparkten Wohnwagen war auf der Wiese mit ihrem typischen Geruch niemand.

Ich hatte diesmal zwar den Deep Sky Atlas dabei, wollte aber mal die Sky Safari App auf meinem IPod verwenden, die ich erst seit ein paar Tagen auf Empfehlung von Manuel geladen hatte.
Es blieb Zeit, da die Dämmerung nur sehr langsam voran schritt. Erst gegen Mitternacht war es ausreichend dunkel und um 01:15 Uhr sollte schon wieder der Mond aufgehen.

<a href="https://www.flickr.com/photos/106029581@N02/14207784286" title="P1030610 by Olivito Astro, on Flickr"><img src="https://farm6.staticflickr.com/5501/14207784286_34fe8f91be_c.jpg"></a>

Das Teleskop und Jupiter in den Zwillingen am Westhimmel

Vor elf Jahren war ich um etwa die selbe Zeit hier, auf dem ITV, nämlich an Christi Himmelfahrt am 28.05.2003. So genau erinnere ich mich zwar nicht, aber das Netz vergisst ja bekanntlich nichts. Ich erstand einen der damals legendären TMB 100/800 von einem anderen Sternfreund und beobachtete damit zuerst einmal M13. Ich war begeistert. 

Ich erinnere mich meine ersten Astrofotografien im Mittelformat gemacht  und auch die ersten schönen Polarlichter gesehen zu haben. Eine Nacht quälte ich mich durch eine Schlange an einem 42 Zoll Riesendobson auf eine Leiter und sah M51 im Binoansatz, was mich aber kaum beeindruckte. Der Himmel beeindruckte mich auch nicht, was wohl an den hellen Juninächten und meiner Unwissenheit lag.

Nun bin ich elf Jahre später hier und es ist schon erstaunlich, welche Beobachtungen ich bis jetzt gemacht hatte. Insgesamt muss ich   sagen, dass die Deep Sky Beobachtungen mit dem bloßen Auge, gefolgt vom Feldstecher und jetzt mit dem 14" Dobson die beeindruckensten waren.

!!20.05.2014 Stumpertenrod - Wiese vor dem Vereinsheim ab 21:30 bis 01:45 Uhr

Klar mit ganz vereinzelten kleinen hohen Wolken, die aber nicht stören. Ganz leichter Wind aus SO. Seeing nicht so gut. Angenehme Temperaturen. Dunkelheit erst ab 23:30 Uhr mit SQM-L Werten von 21.12. Transparenz gut. Spitzenwerte von 21.45 im Zenit um 0:45 Uhr. Nachts dröhnt das Geblöke des Rotwild von angrenzenden Feldern herüber. Die Temperaturen fallen nicht unter +11° Celsius und der Taupunkt wird auch nicht erreicht. 

Ich hatte die irrwitzige Idee IC 972 = Abell 37 in der Jungfrau zu beobachten. Der PN steht hier gegen Mitternacht nur ca. 10-15 Grad über dem Horizont. Aber die mäßige Horizontsicht und die nicht enden wollende Dämmerung ließen mich auf bereits die anderen vorbereiteten Objekte in Zenitnähe ansteuern. Zuerst war mal ''M13'' dran, da ich ''M51'' nicht fand. Anschließend ''M51'' etwas blass aufgrund des durch die Dämmerung aufgehellten Himmelshintergrundes.

#''Mars'', 168 fach - Na ja. Es sind ein paar zentrale große Albedostrukturen auf dem Planeten zu sehen. Das Seeing und das Bild aber insgesamt nicht so gut. Die Seeing Vorhersage von Meteoblue war wieder mal viel zu optimistisch.
#''NGC 4013'' - Spiralgalaxie in Ursa Major 00:11:29, 114 fach: Edge-On Galaxie mit hellem sternartigen Zentrum, hatte ich notiert. Da handelte es sich dabei um einen Vordergrundstern etwas abseits des Zentrums, wie eine anschließende Recherche ergab. Langgezogen und relativ groß. Spitzen diffus auslaufend. Ganz in der Nähe eine weitere hellere Gx zufällig gefunden, die sich als NGC 4051 entpuppt. SQM-L 21.4.
#''NGC 4051'', Spiralgalaxie in Ursa Major, 20.05.2014 00:26:51, 114 fach: Balkenspirale mit sternartigem hellem Zentrum. Insgesamt sind zwei Arme relativ einfach erkennbar. Sehr gut zu erkennen!
#''NGC 4111'' - Spiralgalaxie in Canes Venatici, 00:45:19, SQM-L 21.45, +11° Grad Celsius, 114 fach: Edge-On Gx mit hellem diffusen Zentrum und leichtem zentralem Bulge. Spitzen diffus auslaufend. In der Nähe eines hellen Sterns, der sich als Doppelstern entpuppt. SQM-L 21.45 im Zenit.
#''NGC 4145'', Spiralgalaxie in Canes Venatici, 20.05.2014 01:12:54, 114 fach: Diffuse große ovale Gx mit leichter Helligkeitszunahme zum Zentrum hin.
#''NGC 4151'', Spiralgalaxie in Canes Venatici, 20.05.2014 01:20:10, 114 fach: Helle ovale Gx mit hellem sternartigem Zentrum. Diffus auslaufend. In der Nähe weitere kleinere diffuse Gx mit leichter Helligkeitszunahme zum Zentrum hin.
#''HCG 68'', Galaxiencluster in Canes Venatici, 20.05.2014 01:38:48, 114 fach. NGC 5350 ist das größte Mitglied der Gruppe. Oval diffus mit Helligkeitszunahme zum Zentrum hin. Größte Gx von insgesamt vier. Zwei davon sehr nah beieinander. Beide bilden mit den übrigen beiden ein gleichseitiges Dreieck. Die beiden sehen sich sehr ähnlich: Beide sind oval mit Helligkeitszunahme zum Zentrum hin. Weitere diffuse Gx ist etwas kleiner und schwächer mit nur leichter Helligkeitszunahme zum Zentrum. Am Ende der Beobachtung zeigt das SQM-L nur noch 21.1 im Zenit an. Der Mond drückt bzw. ist bereits aufgegangen. Trotzdem sind alle Komponenten noch gut zu sehen.

Nachts kommen kaum Autos vorbei, entgegen meiner Erfahrung aus der letzten Nacht vor ca. einem Monat. Hier kann ich mich noch gut in die Zeit meines ITV's 2003 versetzen. Heute bin ich hier allein.

Es ist 01:45 Uhr und auch die Milchstraße verblasst im Mondlicht. Ich trinke noch ein wenig Tee und beginne dann geschwind mit dem Abbau. Um 02:05 Uhr bin ich auf dem Heimweg und um 03:30 Uhr im Bett. Schöne Nacht! Die App hat übrigens auch meine Produktivität gesteigert: Das Auffinden der Objekte geht sehr schnell. Schneller als mit dem Atlas. Die Dokumentation des Gesehenen in der App auch und der Export der Daten per Mail zum Schreiben des Berichts sind der Hit. Die falsch kodierten Umlaute auch :)

In diesem Bericht beschreibe ich meine erste und zweite Beobachtungsexkursion nach Spanien. Im ersten Teil geht es in die Pyrenäen und anschließend in die Sierra Nevada. Im zweiten Teil auf die Kanaren Insel Teneriffa. Damals beschäftigte ich mich ausschließlich mit der Astrofotografie. Es entstanden hierbei einige interessante Aufnahmen.

<img src="
http://www.oliva.gmxhome.de/images/deepsky/mf_150_500mm/scan_2_6_combine_700x700.jpg">

Barnard's Loop aufgenommen auf Teneriffa mit Pentacon Six 6x6 und Tele-Xenar 150

<img src="http://www.oliva.gmxhome.de/images/deepsky/mf_150_500mm/scan_3_4_combine_cassiopeia_700x700.jpg">
Milchstraße in der Cassiopeia

<img src="http://www.oliva.gmxhome.de/images/deepsky/kb_28_60mm/scan8_milchstrasse_schwan_kb_900x600.jpg">

Milchstraße im Schwan und Cepheus

<img src="http://www.oliva.gmxhome.de/images/deepsky/kb_28_60mm/scan25_milchtrasse_veleta_kb_700x470.jpg">

Milchstraße am Pico de Veleta

Den kompletten Bericht gibt es als  hier als PDF:

[[PDF - Download|http://www.estelar.de/artikel/beobachtungsplaetze_teil_1.pdf]]

Nach der Entdeckung des Pinars de Araceli [[2011/12 Erkundung des Pinars de Araceli]] bin ich augrund der aufziehenden Wolken erstmal wieder abgefahren. Ab 22.12. ergab sich erneut eine Möglichkeit. Die Nacht war aber zunächst bewölkt, so dass ich früh im Hotel zurück war. Am nächsten Tag beschloss ich einen Tagesausflug zum Calar Alto zu machen.

Die Fahrt dauerte leider etwas länger als gedacht, da ich mich ein wenig verfranzt hatte.

<a href="https://www.flickr.com/photos/106029581@N02/14143373242"><img src="https://farm8.staticflickr.com/7304/14143373242_f8a2aef1fb_z.jpg"></a>

Zunächst tauchen die Dome der Teleskope vor der gewaltigen Kulisse der 50km weit entfernten Sierra Nevada auf.

<a href="https://www.flickr.com/photos/106029581@N02/14123072716"><img src="https://farm6.staticflickr.com/5073/14123072716_dfe16a578f_z.jpg"></a>

Der Dom des grössten Teleskops mit 3.5m Meter Spiegel. 

Das Gelände ist über eine sehr gut ausgebaute Straße erreichbar. Die abgehende Stichstraße allerdings überhaupt nicht. Trotzdem ist das Gelände nicht abgesperrt, z.B. durch Schranken wie auf La Palma, so dass man vermutlich Nachts hier auch rein kommt.

<a href="https://www.flickr.com/photos/106029581@N02/14146228515" title="P1020023 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7398/14146228515_623a7e6058.jpg"></a>

Der Dom eines weiteren Teleskops. 

<a href="https://www.flickr.com/photos/106029581@N02/13959576939"><img src="https://farm8.staticflickr.com/7355/13959576939_bfd23ac070_z.jpg"></a>

Beindruckend die Bergkulisse mit den schneebedeckten Bergen der Sierra Nevada.

Die Anlagen auf dem Calar Alto: 

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Die Transparenz war hervoragend, so wie man es von ausgezeichneten Standorten her kennt.

<a href="https://www.flickr.com/photos/106029581@N02/13959567569" title="P1020020 by Olivito Astro, on Flickr"><img src="https://farm6.staticflickr.com/5511/13959567569_8990b4b5f9.jpg"></a>

Beim Abdecken der Sonne mit einem Finger zeigt sich kein Hof.

Der Boden und die Steine sind hier aus schwarzem Granit. Ganz im Gegensatz zum Karst im Pinar de Araceli.
Der Blick zum Meer ist von hier aus durch eine Bergkette versperrt. Hinter ihr liegt das Mittelmeer.

<a href="https://www.flickr.com/photos/106029581@N02/13959540367"><img src="https://farm3.staticflickr.com/2906/13959540367_1466793e64_z.jpg"></a>

Der Blick hinüber zum Berg La Sagra in ca. 100km Luftlinie ist kein Problem.

<a href="https://www.flickr.com/photos/106029581@N02/14142926291" title="P1020018 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7337/14142926291_f7c247828a_z.jpg"></a>

Ich habe hier noch keine Nacht verbracht. Lt. den Lichtverschmutzungskarten und den Webcam ist aber hier der Himmel nicht so dunkel wie im Pinar de Araceli.

Im Winter 2011 raffte ich mich schließlich während eines Urlaubs in Valencia auf und erkundete diesen Platz. Anhand den Lichtverschmutzungskarten der AVEX sollte dies ein sagenhafter Ort sein, was auch bestätigt wurde. 
Es handelt sich dabei um einen Ort in der Sierra de la Gillimona y Sagra mit dem Berg La Sagra (ca. 2300m üNN) als höchste Erhebung. 

<a href="https://www.flickr.com/photos/106029581@N02/14142842421" title="P1010902 by Olivito Astro, on Flickr"><img src="https://farm3.staticflickr.com/2919/14142842421_5096cb015a_o.jpg"></a>

Der Berg La Sagra

Der Berg ist selbst verkehrstechnisch nicht erschlossen und befahrbar. Die umliegende Sierra aber schon. So gelangt man leicht in Höhen um 2000m. Der Pinar de Araceli ist ein Feriendomizil auf einer Bergkette mit rustikalen Holzhütten die angemietet werden können. Er fiel aber der Wirtschaftskrise zum Opfer und wurde leider im September 2011 geschlossen. Ich selbst entdeckte den Ort erst nach der Schließung, da das Gelände im Dezember 2011 noch frei zugänglich war. Heute ist der Platz abgesperrt.

<a href="https://www.flickr.com/photos/106029581@N02/13959574128"><img src="https://farm8.staticflickr.com/7452/13959574128_8c185ba40b_z.jpg"></a>

Auf dem Weg zum Pinar de Araceli

Später entdeckte ich einen Feldweg, der bis zum ursprünglichen Gelände führt, mit vielen sehr guten Beobachtungsmöglichkeiten. Diese Plätze um den Pinar de Araceli habe ich letzlich auch diesen Namen gegeben um diesem phantastischen Ort einen gebürend zu würdigen.

Ich traf zunächst am frühen Nachmittag ein. Ich wusste zu diesem Zeitpunkt noch nicht, dass dieser Ort bereits geschlossen und verlassen worden war. Die Zufahrt war möglich. An der Rezeption war aber natürlich niemand und alles machte einen sehr verlassenen Eindruck.

<a href="https://www.flickr.com/photos/106029581@N02/14122978506" title="P1010930 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7417/14122978506_1c7919f8cf_o.jpg"></a>

Eine der Hütten

So befuhr ich zunächst das Gelände und suchte nach einem Zuständigen. 

<a href="https://www.flickr.com/photos/106029581@N02/14143269272"><img src="https://farm3.staticflickr.com/2913/14143269272_dcf906f21b_o.jpg"></a>

Der Ort bot alles, sogar ein Basketballfeld.

Da ich niemanden vorfand, rückte ich wieder ab und suchte mir ein Hotel im Dorf La Puebla de Don Faddrique. Die Nacht verbrachte ich aber am Puerto del Pinar, einem Pass in der Nähe des Dorfes.

<a href="https://www.flickr.com/photos/106029581@N02/13959520898"><img src="https://farm6.staticflickr.com/5115/13959520898_af8c55ddbf_o.jpg"></a>

Der Puerto del Pinar (1600m üNN)

Die Nacht begann zunächst klar aber bereits gegen Mitternacht zog es zu. Ich beobachtete mit dem Feldstecher im Schlafsack und die hohe Luftfeuchtigkeit und die fallenden Temperaturen hinterließen einen dicken Eispanzer. So drehte ich schließlich am Folgetag noch eine Runde in der Sierra und erkundete so die Gegend.

<a href="https://www.flickr.com/photos/106029581@N02/13959525310"><img src="https://farm6.staticflickr.com/5470/13959525310_48590557b1_o.jpg"></a>

La Vidiera unweit des Pinars de Araceli ist ein Hotell, das aber ebenfalls geschlossen ist.

Auf dem Rückweg entdeckte ich schließlich noch das OLS, ein Observatorium am Fuße des Berges La Sagra unweit des Hotels "Colladas de la Sagra".

<a href="https://www.flickr.com/photos/106029581@N02/14122981736"><img src="https://farm3.staticflickr.com/2918/14122981736_fdc7c40628_o.jpg"></a>

Leider auch verlassen. Die Webseite zu dem Zeitpunkt schien auch nicht mehr gewartet worden zu sein und unter der deutschen EMail-Kontaktadresse meldete sich auch niemand. 

Nach dem Besuch am Calar Alto ging es geschwind wieder zurück Richtung La Puebla de Don Fadrique und von dort zum Pinar de Araceli. Es sollte die erste und einzige Nacht auf dem Gelände des geschlossenen Pinar de Araceli sein.

<a href="https://www.flickr.com/photos/106029581@N02/14146392364" title="P1020030 by Olivito Astro, on Flickr"><img src="https://farm3.staticflickr.com/2916/14146392364_dd51894415_z.jpg"></a>

Aufbruch in die Sierra mit Blick auf das Dorf La Puebla de Don Fadrique

Immerhin habe ich es zum Sonnenuntergang zurück in den Pinar geschafft. Das Gelände war verlassen aber zugänglich wie wenige Tage zuvor bei seiner "Entdeckung".

<a href="https://www.flickr.com/photos/106029581@N02/13959567850"><img src="https://farm8.staticflickr.com/7417/13959567850_ae3373c8b1_z.jpg"></a>

Aufgang des Erdschattens gegen 18.00 Uhr

Es ist mit +6° Celsius recht warm. Die Temperaturen fallen aber bis knapp über den Gefrierpunkt. Die Luft ist aber sehr trocken, so dass im Laufe der Nacht beim Berühren von Plastikfolie z.B. Funken sprühen.

!!23.12.2011 PDA bis ca 3 Uhr morgens

Die Stimmung ist unbeschreiblich. Eine Hütte liegt freistehend auf einer Bergkuppe, die eine grandiose Aussicht bietet. Etwas entfernt versteckt hat sich eine Schafherde, die ich nachts noch ein wenig besser kennen lernen sollte.
Es ist windstill und so packe ich meine Sachen in der Nähe einer Hütte aus. Im Wesentlichen ist dass ein Schlafsack mit Wolldecken. Ich habe vor mit dem 10x50 Feldstecher zu beobachten.

Nach Einbruch der astronomischen Dämmerung werden SQM-L Mittelwerte um 21.2 erreicht, die schnell auf 21.3-21.4 klettern. Gegen Mitternacht waren dann auch Werte bis 21.56 möglich. Die Messungen gestalteten sich aufgrund der präsenten Wintermilchstraße stets schwierig und führten möglicherweise auch zu Verfälschungen zu schlechteren, also niedrigeren Werten. Visuell bestand subjektiv kein Unterschied zu den hervorragenden Bedingungen auf La Palma. Die Milchstraße war neben dem Zodiakalicht beeindruckend präsent.
Die Sommermilchstraße steht noch fast im Zenit. Erste Objekte sind so Objekte in der Sommermilchstraße.

*''Barnard 168'' zusammen mit ''M39'': Erscheinen in einem Gesichtsfeld. Wunderschöne Kombination. 
*''NGC 7000'' mit Pelikannebel
*Absolutes Highlight ist die Beobachtung des Helixnebel im Zodiakallichtkegel im Feldstecher kurz vor dem Untergang.
*Hellste Bereiche von ''Barnard's Loop'' um ''M78'' können im Feldstecher mit Nebelfilter gesehen werden.
*''NGC 1499'' ist ebenfalls schwach im Feldstecher mit Nebelfilter erkennbar.
*''NGC 247'' war auch kein Problem trotz des störenden Zodiakallichts.

''M33'' ist freisichtig im Zenit als schwaches Wölkchen indirekt leicht zu erkennen. ''NGC 1477'' war zusammen mit ''M35'' in einem Gesichtsfeld eindruckvoll sichtbar. Auch die Sichtung von ''M65'', ''M66'' und ''M51'' ca. 10 Grad über dem Horizont war trotz der beschriebenen Lichtglocke im Osten im Feldstecher kein Problem.

Es wird mir schließlich doch kalt trotz Wolldecken und Schlafsack und Winterklamotten. Die Schafe kommen auch immer näher. Schließlich beschließe ich meinen Beobachtungsort ca. 100m abseits zu verlagern. Hier war es absolut windstill und auch damit ein wenig wärmer. Es folgten Streifzüge in die südliche Wintermilchstraße mit ihren vielen offenen Sternhaufen. Gegen 3 Uhr morgens bin ich aber müde und fertig und beschließe ins Hotel zu fahren. Der Platz hier ist ideal zum Beobachten. 

<a href="https://www.flickr.com/photos/106029581@N02/14190534504"><img src="https://farm8.staticflickr.com/7372/14190534504_756e2f5d71_z.jpg"></a>

Aufgang des Sternbilds Orion.

Leider ist beim nächsten Besuch im Sommer 2012 das Gelände abgeriegelt und der Zutritt nicht mehr möglich. Außerhalb des Geländes bieten sich aber eine Vielzahl anderer Plätze an, die ich weiterhin nutze.

!Astrourlaub mit dem 14 Zoll Reisedobson

Nach einem einwöchigen Astrourlaub im September 2012 besuchte ich die Podona, allerdings mit der kompletten Familie, im Dezember erneut. Seit dem La Palma Aufenthalt hatte der neue 14" Dobson in Deutschland mangels schlechtem Wetter kein "Licht" gesehen. Im September Stand als Hauptbeobachtungsziel Jupiter auf dem Programm. Aber leider aufgrund mangelnder Erfahrung im Umgang mit einem Dobson habe ich leider keine guten Jupiterbilder gesehen, so dass das Ganze nochmal geübt werden musste.
In Deutschland starteten wir am 09. Dezember. Als es mit dem Taxi losging hatte es bereits eine Stunde vorher heftig zu schneien begonnen, was sich im Nachhinein als echtes Problem herausstellen sollte. Denn wir saßen im Flieger ca. 5h auf der Parkposition in Deutschland fest. und starteten erst gegen 17.00 Uhr, so daß die Ankunft erst gegen 22.00 Uhr war. Gegen Mitternacht kamen wir in Las Tricias bei der Vermieterin an, die natürlich schon geschlafen hatte. So fiel die eingeplante Beobachtungsnacht zum Großteil ins Wasser und als wir endlich an der Unterkunft ankamen, war der Himmel brauchbar aber durch Zirren teilweise bedeckt, so dass nach Beobachtungen mit dem bloßen Auge es erstmal ins Bett ging.

!!11.12.2012 - 1. Nacht - RDLM bis ca. 23:00 UT

Der nächste Tage war bedeckt, so dass ich beim Essen in Tazacorte nach Prüfen der Wetterstationen auf dem Roque erst am Dienstag dass erste Mal zum Roque aufbrach. Mich erwartete zunächst ungemütliches Wetter. Über die Caldera zogen tiefe Wolken, die aber einen bestimmte Region unterhalb des WHT ausließen, was später leider nicht mehr so war. Dennoch konnte ich zunächst Jupiter und durch besagte Wolkenlücke vor allem in der Cassiopeia und Andromeda einige Objekte beobachten. Interessant fand ich insbesondere die Nebel um γ Cygni, die mit UHC sehr deutlich und hell erschienen. Zwischendurch fiel die Temperatur auf knapp unter Null. Gegen 23.00 Uhr packte ich schließlich zusammen und fuhr wieder zu meiner Unterkunft. Im Nachinein sehr erkenntnisreich, da ich aufgrund der Tatsache, dass die Insel komplett unter Wolken lag, keine hohe Bewölkung vorlag und die Durchsicht extrem gut, die Dunkelheit des Nachthimmels bis hin zum bewölkten Nachthimmel mit dem SQM-L durchmessen konnte (jeweils drei Werte zenitnah gemessen und gemittelt):

|greenaltrows|k
|Uhrzeit (UT)|SQM-L (Zenit)|Kommentar|h
|19:38|21.45|Beginn der Nacht nach Einbruch der astronomischen Dämmerung|
|20:08|21.54||
|21:30|21.60|Bedeckt, aber helle Sterne scheinen durch die tiefhängende Wolkendecke|
|22:10|21.70|Bedeckter Neumondhimmel = 22.0, Besser geht es nicht.|

Die letzten beiden Messungen fanden bereits unter bewölktem Himmel statt. Bei der vorletzten Messung schienen aber noch die hellen Sterne durch. Bei der letzten dann nicht mehr. Auf der Abfahrt begann es dann auch schließlich leicht zu regnen. Ich hatte in dieser Nacht auch meine neue extrem dicke Daunenjacke getestet. Sie hat zusammen mit der Daunenunterhose den Test bestanden. Mit ihr benötige ich praktisch auch keine Handschuhe. Bisweilen hat man allerdings den Eindruck mit einer Bettdecke herumzulaufen.
Verblüfft war ich, dass ich mit dieser Ausrüstung die mitgebrachten Sorel Stiefel nicht benötigt habe. Dies war ein Irrtum, wie sich die nächste Nacht noch herausstellen sollte.

!!13.12.2012 - 2. Nacht RDLM bis ca. 02:00 UT

Die erste richtig gute Nacht war dann am 12.12., also am Mittwoch. Wieder ging es rauf zum Roque. Hier sind auch die Fotos entstanden. Weitere gab es leider nicht, da anschließend die Batterien der Kamera leer waren und das Ladegerät zu Hause in Deutschland geblieben ist.

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Die Auffahrt durch den Pinienwald ist immer wieder ein Highlight

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An der Baumgrenze

Zunächst fuhr ich bis zur Aussichtsplattform, da dort auch einer meiner früheren Fotobeobachtungsplätze liegt. Vorteil ist seine Lage abseits der Straße, so dass Fremdlicht durch vorbeifahrende Autos ausgeschlossen ist. Insbesondere zu Zeiten der chemischen Fotografie ein sehr wichtiges Detail. Nachteil ist, dass der Südhorizont ca. 10-20 Grad eingeschränkt ist.

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An der Aussichtsplattform, die auch Degollada de los Franceses genannt wird.

Nach Prüfung der Lage entschloss ich mich unterhalb der Teleskope aufzubauen, denn der Wind hier mitunter sehr heftig sein.

Der Beobachtungsplatz unterhalb der Teleskope stellte sich als optimal heraus. Der Untergrund staubte beim Auftreten kaum, was wohl an den ergiebigen Niederschlägen der letzten Wochen lag.

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Der aufgebaute 14 Zöller im Abendlicht kurz nach Sonnenuntergang. 

Die Temperatur lag bei Einbruch der Dunkelheit bei 0 Grad Celsius und 65% rel. Luftfeuchte. Nach Einbruch der Dunkelheit wurden zunächst folgende Objekte eingestellt: NGC 7000, Cresent Nebel und der Pacman-Nebel. Anschließend der Zirrusnebel mit Pickering's Dreieck. Darüber hinaus habe ich die Milchstraße und das Zodiakallicht bestaunt, die zum Anfang der Nacht zusammen ein V-markierten, dass sich über den gesamten Himmel erstreckte. Im Zenit die Lichtbrücke und abseits die Herbstmilchstraße, die sich am Horizont berührten. Im Laufe der Nacht wanderte dann der Schnittpunkt der Milchstraße mit dem Untergangshorizont Richtung Norden, so dass schließlich der Schnittpunkt verschand und sich das "V" öffnete. Weiter ging es mit den Nebeln γ Cassiopeii. Interessanterweise verschwanden die Nebelfetzen beim Einsatz des UHC-Filters vollständig. Anschließend ging es hauptsächlich mit Jupiter weiter. Leider konnte ich dem Planeten kaum Details entlocken, was an der fehlerhaften Kollimation lag, was ich aber erst übernächste Nacht merken sollte. Immer wieder kommen Wolkenbänke auf mich zu. Das Auto ist komplett nass. Später bildet sich Eis. So wurde hauptsächlich Genussspechteln betrieben ohne konkreten Plan. Ein Ziel war dann NGC2177. Erstaunlich groß und mit UHC-Filter klar sichtbar. Der Flammen-Nebel ist ebenfalls erststaunlich hell und kann sogar im 10x50 Feldstecher als geisterhafte Aufhellung gesehen werden. Dann Abstecher in den Fuhrmann mit M36, M37 und M38. Im Feldstecher haben mir die offenen Sternhaufen aber besser gefallen. Anschließend M35 in den Zwillingen. Zusammen mit NGC 2158 ein schönes Bild. Letzteres erscheint dreieckig und zum Zentrum hin stark konzentriert. Immer wieder musste ich den Fangspiegel mit der Hand auftauen. Abwechselnd habe ich auch mit dem Feldstecher beobachtet. Highlight war defintiv die Beobachtung mit dem bloßen Auge. Insbesondere, wenn der bewölkte Himmel plötzlich Teile der Milchstraße freigab. Letztes Objekt war Thor's Helm. Sehr interessantes und großes Objekt. Um 03.00 Uhr habe ich schließlich zusammengepackt und bin zurück in die Unterkunft gefahren. Dies sollte auch meine letzte Nacht auf dem Roque sein, da ich auch meinen Kindern in den folgenden Nächten Objekte im Teleskop zeigen wollte.


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Aufgang des Erdschattens

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Im Hintergrund die anderen "Teleskope" v.l.n.r.: NOT, INT und Grantecan

In dieser Nacht herschten nahezu perfekte Bedingungen: Caldera lag komplett zu Beginn unter Wolken. Kaum Wind, der die Beobachtung störte. SQM-L Werte (jeweils drei Werte gemittelt): 19:40 UT - 21.52, 20:15 UT - 21.56, 21:00 UT - 21.60, 22:07 - 21.59. Wind leicht aus NO, zeitweise windstill. Am Ende der Beobachtung gegen 02:00 UT kommen Zirren auf.

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Der aufgebaute 14 Zöller bei Einbruch der Nacht. Die Hohe Schleierbewölkung zieht nördlich an der Insel vorbei, was sich aber im Laufe der Nacht änderte.

!!14.12.2012 - 3. Nacht (La Podona) bis ca. 02:30 UT

Diese Nacht sollten auch die Kinder zum Zuge kommen. Daher beschloss ich am Haus direkt zu beobachten. Zunächst zog hohe dichte Zirrusbewölkung durch, die am Morgen aufkam. Ich ließ mich jedoch nicht beirren und gegen Einbruch der Dunkelheit haben die Kinder zunächst M3 im Bino und anschließend Jupiter beobachtet. Meine Tochter erkannte auf Anhieb, dass Jupiter drei Bänder hatte und auch die Milchstraße konnten sie zweifelfrei identifizieren. Nach dieser kurzen Beobachtungstour gingen die Kinder zu Bett und die Zirrusbnewölkung war plötzlich verschwunden. So wurde es noch eine richtig gute Nacht:

*''Jones 1'': Bei 40 fach und OIII-Filter als kleiner heller Ring im Telekop. Ähnlich dem Ringnebel.
*''Abell 2666'': Eine bis zwei schwache Galaxien. Sichtung insgesamt unsicher.
*''Silver Dollar'': Bei 114fach im 14mm ES fast Gesichtsfeldfüllend. Interessante Staubstrukturen. Kugelsternhaufen in der Nachbarschaft ist sehr locker und bis zum Zentrum aufgelöst.
*''NGC 241'': kein Kommentar
*''NGC 7741'': Balkenspirale mit stellarem Kern: Balken und Spiralen ansatzweise sichtbar.
*''NGC 7315'': Helle Galaxie. Begleiter ebenfalls sichtbar.
*''Stephan's Quintett'': Alle 5 Galaxien mithilfe der POSS-Aufnahme im Deep Sky Beobachteratlas zweifelsfrei gesehen.
*''NGC 1360'': kein Kommentar
*''M42'': kein Kommentar
*''Rosettennebel mit UHC'': Sehr großer strukturreicher Nebel.

Temperatur während der Nacht lag bei 6 Grad Celsius und 65% rel. Luftfeuchte. SQM-L Werte (jeweils drei Werte zenitnah gemessen und gemittelt): 20:45 UT - 21.50, 21:24 UT - 21.60, 22:35 - 21.62.

!!15.12.2012 - 4. Nacht (La Podona) bis ca. 02:30 UT

Mittlerweile hat sich die Beobachtungsunruhe zu Beginn der Nacht aufgrund der Routine gelegt. Zu Beginn der Nacht zogen abermals Zirren durch. Aber aufgrund der Erfahrung ließ ich mich nicht beirren und baute trotzdem auf. Dies sollte die ergiebigste von allen Beobachtungsnächten werden. Zunächst waren wieder die Kinder am Zug: Es gab den Mond im Bino, sowie erneut Jupiter. Anschließend verzog sich die Zirrusbewölkung erneut und ich begriff endlich, wie ich den Dobson kollimieren musste. Dies ging mit dem Bino am Besten. Der Glasswegkorrektor mit eingebauten Komakorrektor erlaubte es mir endlich präzise den Hauptspiegel zu justieren. Belohnt wurde ich mit knackigen Jupiterbildern. Interessanterweise war das Seeing hervorragend und so konnte ich mit dem Bino bis ca. 330fach vergrößern. Viele Details in den Wolkenbändern wurde so erst sichtbar.

*''Mond mit Bino'': Interessante Details am Terminator. Beeindruckend.
*''Jupiter'' bis 23 UT: Großer blasser Fleck im Nördlichen Band mit Fahne. Viele interessante Details. Faszinierend.
*''Bubble Nebel'': -
*''M52'': Schön aufgelöst.

Anschließend wollte ich mal die Begleitgalaxien von M31 unter die Lupe nehmen. Hier geht es zu einer Filmaufnahme von mir.

*''NGC 185'': Bei 114fach groß und länglich. Vordergrundstern nahe Zentrum.
*''NGC 147'': Länglich mit hellem Kern
*''NGC 278'':Hell fast kreisrund, rel. klein.
*''M76'': Kleiner Hantelnebel: Hantelförmig, scharf begrent und hell. Strukturen bei 114fach angedeutet, einfach auffindbar.
*''G001'': Kleiner runder Nebel. Zunächst schwierig zu identifizieren, wegen hellem stellarem Kern. Dann aber eindeutig, da Umgebung des Kerns neblig und Position zweifelsfrei.
*''Pferdekopfnebel'': Mit H-Beta schön sichtbar. Schnauze bleibt unsichtbar.
*''Barnard's Loop'': Mit H-Beta + UHC-Filter mit bloßem Auge wird hellstes Viertel um die Gürtelsterne sichtbar. Deutlicher im H-Beta Filter.
*''M42'': Die Beobachtung des Zentrum im Bino ist ein Wucht. Bei 114fach erscheint das Zentrum grünlich bis eisblau, wie im September 2012 im 16". Wenn auch nicht so deutlich.
*''M93'': Dreieckiger Sternhaufen. Bei 40fach schön locker aufgelöst. An der Spitze heller orange farbiger Stern. Innerhalb des Haufens scheinbar 2-3 Unterhaufen.
*''NGC 2360'': Eckiger Sternhaufen. Sieht Weihnachtsstern ähnlich. Nordöstlich befindet sich ein heller Stern, der markant aus dem Haufen hervortritt.
*''NGC 2362'': Sternhaufen mit hellem Stern in der Mitte. Sieht Praesaepe ähnlich. Bei 114fach werden neben dem hellen Stern zwei schwache Begleiter sichtbar.
*''M46'': Lockerer Sternhaufen. NGC2438 ist als runder Nebel einfach sichtbar. Nebelring mit Stern abseits der Mitte, sowie mit weiterem Stern am Nebelrand.
*''Plejaden'': Meropes Nebel einfach und prominent sichtbar. Die hellen Haufenmitglieder scheinen vom Nebel umgeben.

Temperatur während der Nacht lag bei 9 Grad Celsius und 50% rel. Luftfeuchte. Leichte Calima. SQM-L Werte (jeweils drei Werte zenitnah gemessen und gemittelt): 21:00 UT - 21.32, 22:15 UT - 21.48, 23:00 UT - 21.45.

!!Fazit

Im Dezember kann man auf La Palma auch gutes Wetter erwischen. Von 7 Tagen gab es immerhin 4 Beobachtungsnächte, von dehnen 3 richtig gut waren. Als Nebeneffekt kann ich jetzt auch qualitativ die SQM-L Werte richtig einschätzen. Werte >= 21.60 bei meinem SQM-L bedeutet Spitzenhimmel. >=21.50 ist auf dem Roque guter Durchschnitt und bis zum Polarstern auf 30 Grad über dem Horizont durchgehend messbar. Diese Werte sind auch bei der Unterkunft möglich. Eine weitere Erkenntnis der Beobachtungstour: Jupiter beeinflusst die Messwerte des SQM-L zum Schlechteren hin. Aus 21.60-21.50 werden Werte um 21.30.
An meinem Beobachtungsplatz ca. 70 km von Frankfurt entfernt habe ich einmal den Spitzenwert von 21.30 gemessen. In der Regel liegen die Werte zu Beginn einer Nacht um 20.9 und steigen dann in der Regel bei guter Durchsicht auf 21.10. Spitzennächte erreichen 21.2. Zum Horizont hin brechen die Werte sofort ein. Um den Polarstern (50 Grad über dem Horizont) fallen die Werte auf deutlich unter 21.0.
Die Transformation vom Astrofotografen zum visuellen Beobachter habe ich nun wohl vollzogen. Die Beobachtung macht mir auch abseits der kleineren Instrumente wie Feldstecher und 3" bis 4" Zoll Refraktoren richtig Spaß. Jupiter und auch der Mond sehen im Dobson richtig gut aus. Die Berührungsängste mit dem Dobson und dem offenen System Dobson habe ich jetzt überwunden (Anfänglich habe ich öfter die Ablagerungen auf dem Spiegel beobachtet als durch das Teleskop verbunden mit den entsprechenden "Sorgen".). Das Gerät hat jetzt 10 Beobachtungsnächte hinter sich, davon allein 8 auf La Palma.
Meine bei der Vermieterin deponierte Montierung + Fotoausrüstung habe ich wieder mit nach Deutschland gebracht. Dieses Kapitel hat sich wohl erstmal erledigt. Aber wer weiß...

*[[2013/12 Zwei Nächte im Pinar de Araceli]]
*[[2013/10 Herbsthimmel über La Palma]]
*[[2013/07 Palmerische Nächte in Andalusien]]
*[[2013/01 Perfekte Winternächte mit 14 Zoll]]

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Geniale Beobachtungsnächte unter perfektem Himmel. Im Hintergrund das Sternbild Leier mit dem Hauptstern Vega am Nordwesthimmel.

Im Januar 2013 war ich zwei Wochen im Urlaub in Madrid. Dabei hatte ich auch meinen 14" Zoll Dobson und einen Feldstecher. Geplant war bei gutem Wetter zu beobachten; hauptsächlich in Bonilla
einem von mir bereits öfter aufgesuchten Beobachtungsplatz mit guten Bedingungen.
Ab dem 03. Januar stellte sich eine Hochdruckwetterlage ein, die bis zum 10.01.2013 andauern sollte. Aufgrund der guten Vorhersage für die nächsten Tage ging es nur kurz nach Bonilla
und anschließend weiter zum Pinar de Araceli.

Am 04. Januar 2013 ging es in Madrid los. Nach 1.5 Stunden kam ich in Caracenilla, dem Nachbardorf von Bonilla in der "Casa Sole" an. Hier hatte ich vor ca. drei Jahren eine Nacht verbracht. Die Familie, welche
eine Jugendherberge sowie ein Zimmervermietung betreibt, empfing mich sehr herzlich zum Mittagessen. Wir kamen ins Gespräch und so erfuhr ich, 
dass ich im neuen Jahr der erste Gast sei. Um Weihnachten herum seien auch Deutsche hier gewesen. Zum Paragliden. Nun ja, nach dem Essen ging es dann kurz auf das Zimmer und dann auch 
schon los zum Beobachtungsplatz. Dort kurz vor Sonnenuntergang angekommen, zeigte sich der Himmel ähnlich transparent wie im Sommer.

!!1. Nacht 04.01.2013 - Bonilla

Das Thermometer zeigte zwar 12 Grad Celsius an, aber mir war schon jetzt kalt. Außer mir sollte diese Nacht hier niemand beobachten und der Mond sollte gegen 01.30 Uhr ebenfalls auftauchen. Aber dies versprach 
immerhin gut fünf Stunden Beobachtung. Kurz nach Sonnenuntergang fiel das Thermometer auf 1.5 Grad Celsius mit recht hoher Luftfeuchte von 70%. Dabei war es absolut klar.

<a href="https://www.flickr.com/photos/106029581@N02/13829724785" title="P1020871 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3777/13829724785_e8eab7ceec.jpg"  alt="P1020871"></a>

Der Beobachtungsplatz ist schon im Dorf ausgeschildert.

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Eine Kirche mitten auf dem Feld

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Der Beschilderung folgend tauchen entfernt die weißen Schutzbauten auf.

<a href="https://www.flickr.com/photos/106029581@N02/13828766255" title="P1020874 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7149/13828766255_3bd0de8aa8.jpg" alt="P1020874"></a>

<a href="https://www.flickr.com/photos/106029581@N02/13828754065" title="P1020876 by Olivito Astro, on Flickr"><img src="https://farm3.staticflickr.com/2875/13828754065_d495831d50.jpg" alt="P1020876"></a>

Der Beobachtungsplatz ist vom Dorf nicht zu sehen. Daher gibt es auch kein direktes Licht.

<a href="https://www.flickr.com/photos/106029581@N02/13828747543" title="P1020879 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7437/13828747543_11c3f8bf9c.jpg" alt="P1020879"></a>

Der aufgebaute 14 Zöller.

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Die Nacht bricht herein.

Die Nacht begann mit den hier üblichen SQM-L Werten um 21.2 Tendenz steigend. Gegen Mitternacht wurden fast 21.5 erreicht. Interessant war für mich diesen Beobachtungsplatz im Winter zu sehen, da ich bisher
stets im Sommer hier war. Nach Einbruch der astronomischen Dämmerung war das Zodiakallicht gut zu erkennen inklusive der schwachen Lichtbrücke. Die Milchstraße war später von Horizont zu Horizont
zu sehen.

#Hi & Chi Perseii: Schön bei 40x.
#Objekt: IC 1805 mit UHC bei 40x: Offener Sternhaufen Mellotte 15 ist Ausgangspunkt. Sternhaufen ist von diffusem Nebel umgeben. SW zwei hellere Nebel sichtbar. Einer etwa doppelt so groß wie der andere, wobei der kleinere zum Zentrum hin heller ist. Beide enthalten einen Stern abseits des Zentrums.
#Objekt: IC 1795 mit UHC bei 40x: Keine Aufzeichnugen.
#Objekt: IC 1027 mit UHC bei 40x: Nebelausläufer von IC 1805 zeigt von Melotte aus knapp an IC 1027 vorbei. Unregelmäßige Form. Heller Stern abseits der Mitte Richtung SW.
# Objekt: NGC 1848 mit UHC bei 40x: Sternkette ca. 1.5 Grad lang mit Unterbrechung. Von ovalem Nebel umgeben, der aber schwach ist.
#Objekt: NGC 1535: Etwas schwiering auffindbar, da in sternarmer Himmelsregion. Bie 40x aber schon als kleiner Nebel erkennbar. Bei 114x kreisrund und hell, wobei Zentralstern sichtbar ist.Bei 230x zeigt sich innerhalb des Nebels eine hellere scharf abgegrenzte Schale, die den Zentralstern ringförmig umgibt. Farbe schwierig: weiß-Bläulich.
#Objekt: Rigel: Einfach toll. Bei 114fach sauber getrennt. Enormer Helligkeitsunterschied.
#Objekt: NGC 1788 114x: Zwei kreisförmige Nebel, die nebeneinander stehen. Bei längerer Beobachtung zeigt sich aber ein hantelförmiger Nebel mit zwei Zentren. Beide haben Stern im Zentrum. Im Nebel werden insgesamt ca. 5 Sterne sichtbar.
#Objekt: M42
#Objekt: M33 bei 114x: Mehere Spiralarme mit helleren Knoten sichtbar. NGC 604 sehr auffällig.
#Objekt: NGC 604: Im Nebel scheinen 4-5 Sterne aufzublitzen Einer davon ist auffälliger etwas abseits des Zentrums sichtbar.
#Objekt: M78 114x: Heller V-förmiger Nebel, wobei im hellsten Nebelteil zwei Sterne eingebettet sind. Parallel zu diesem ist ein weiteres dünneres Nebelteil zu erkennen, das in der Mitte durchtrennt zu sein scheint.
#Objekt: NGC 2112 114x: Ist mir von meinen eigenen Fotos gut bekannt. Unregelmäßiger und schwacher Haufen, der von einem hellen Stern flankiert wird. Bei 40x mit H-Beta Filter wird Barnard's Loop sichtbar.
#Objekt: NGC 1499 40x mit H-Beta: Da der H-Beta jetzt drin ist, muss auch ein Objekt beobachtet werden, dass diesen gut verträgt. Riesiger Nebel. Passt nicht ins 1.5 Grad große Gesichtsfeld und hat in der Mitte ein Loch. Insgesamt länglicher Nebel, der längs dunkle Stellen bzw. Band geteilt ist.
#Objekt: Stern südlich von IC 434: Entpuppt sich als 4-fach System. Sieht aus wie Jupiter + Monden nur kleiner.
#Objekt: M35 & NGC 2158 114x: Letzterer ist dreieckig mit markantem Stern an einer der Spitzen. Bei 40x aber neblig. M35: Lockerer Sternhaufen mit vielen hellen Sternen.
#Objekt: NGC 2392 114fach: Kreisrunder heller Nebel mit sehr hellem Zentralstern. Zweite innere Nebelschale, die rel. scharf begrenzt ist.
#Objekt: Rosettennebel 40x mit UHC: Heller großer stark strukturierter kreisrunder Nebelring. Innen stark zerfranzt. Radiale Dunkelschläuche. Sehr beeindruckend.
#Objekt: M41 40x: Schon mit bloßem Auge einfach als kleiner Nebel südlich von Sirius sichtbar. Im Teleskop verliert sich der Haufencharakter. Das war nichts.
#Objekt: M67 40x: Sehr zerstreuter unregelmäßiger offener Sternhaufen. Heller Stern im Osten.
#Objekt: M81 & M82: 40x: Insgesamt drei Galaxien sichtbar, die gleichschenkliches Dreieck bilden. 114fach: M82 länglich mit Staubbänder vertikal zur Achse. M81: großer heller elliptischer Nebel. Spiralarme indirekt sichtbar. Aber unsicher.
#NGC 2976: 40x: Oval mit hellem Zentrum. Klein.

Die Beobachtungsnacht ging zu Ende. Der Mond tauchte auf und hüllte die Landschaft in ein gespenstisches Licht.

Temperatur während der Nacht lag bei 1.5 Grad Celsius und 70%-80% rel. Luftfeuchte. SQM-L Werte (jeweils drei Werte zenitnah (Z) bzw. um Polaris (P) gemessen und gemittelt): 19:30 MEZ - 21.2, 20:00 - 21.20, 20:30 - 21.38, 21:00 - 21.28, 22:20 - 21.35 alle Z, 23:30 21.48 P.

!!2. Nacht 05.01.2013 - Pinar de Araceli

Am nächsten Morgen ging es nach einem Kaffee am späten Vormittag weiter Richtung Andalusien. Die Fahrt dauerte ca. 5 Stunden. Im Hotel "La Puerta de Andalucia" wird noch schnell ein Bocadillo bestellt und los geht es.

<a href="https://www.flickr.com/photos/106029581@N02/13829031264" title="P1020884 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3668/13829031264_31b72555d6.jpg" alt="P1020884"></a>

Ankunft im Dorf. Der Himmel war fantastisch und 
sollte mich auch nachts nicht enttäuschen.

<a href="https://www.flickr.com/photos/106029581@N02/13828692323" title="P1020885 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3793/13828692323_382c08cbef.jpg"  alt="P1020885"></a>

<a href="https://www.flickr.com/photos/106029581@N02/13828613613" title="P1020892 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3733/13828613613_161562a945.jpg"  alt="P1020892"></a>

Auf einem Waldweg geht es zum Beobachtungsplatz. Teilweise sind noch kleinere Schneefelder zu sehen.

<a href="https://www.flickr.com/photos/106029581@N02/13828619485" title="P1020889 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7385/13828619485_c454b5fe08.jpg"  alt="P1020889"></a>

Der Erdschatten ging auf. Dies war in Bonilla nicht so gut zu beobachten.

<a href="https://www.flickr.com/photos/106029581@N02/13828595465" title="P1020891 by Olivito Astro, on Flickr"><img src="https://farm6.staticflickr.com/5323/13828595465_a8331df7bf.jpg"  alt="P1020891"></a>

Blick nach Westen

<a href="https://www.flickr.com/photos/106029581@N02/13827687263" title="P1020913 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3743/13827687263_18a02843a2.jpg"  alt="P1020913"></a>

Der Westhimmel vor Einbruch der astronomischen 
Dämmerung.

Die Fahrt zum Beobachtungsplatz dauert nochmal gut 30min durch einen Pinienwald. Der Platz selbst befindet sich auf ca. 1750m üNN. Am Ende der Dämmerung ist es -1 Grad Celsius kalt und 42% rel. Luftfeuchte und windstill.

#NGC 7000 bei 40x mit UHC: Verrückt im Januar Sommerobjekte zu beobachten. Aber hier geht das. Sehr groß. Passt nicht ins 1.5 Grad große Gesichtsfeld. Interessantes und kurioses Detail: Little Orion. Das Sternbild steht breits am Südosthimmel.
#Objekt: Pelikannebel mit UHC bei 40x: Kopf des Pelikan ist die hellste Region. Neben NGC 7000 eher unauffällig. Mehrere hellere Nebelgebiete durch dunkle Stellen getrennt.
#Objekt: IC 410 mit UHC bei 40x: Schwacher großer Nebel um zwei helle Sterne. Schwacher Ausläufer senkrecht zur Verbindungslinie dieser Sterne.
#Objekt: IC 405 mit UHC bei 40x: Sieht Rosettennebel ähnlich. Ist aber kleiner und ohne helle Sterne im Zentrum. Zugehöriger Sternhaufen verteilt auf den Nebelring, wobei im Westteil deutlich hellere Sterne anzutreffen sind.
#Objekt: M37 bei 40x: Relativ dichter Sternhaufen mit hellem gelben Stern im Zentrum, der von vielen schwächeren Sternen umgeben ist.
#Objekt: M36 bei 40x: Lockerer Sternhaufen bestehend aus hellen Sternen. Mehrere Sternketten, wobei zwei ein X-bilden.
#Objekt: M38 bei 40x: Locker ohne Konzentration zum Zentrum hin. Im Zentrum einzelner Stern, sonst eher Unterhaufen anzutreffen.
#Objekt: NGC 1907 40x: Sieht fast wie Kugelsternhaufen aus. Sehr dicht mit vielen schwachen Sternen. Bei 114x aufgelöst. Kugelsterncharakter verschwindet.
#Objekt: Abel 8: Nicht gefunden.
#Objekt: M42 bei 114x: Nochmal besser als Tags zuvor in Bonilla.
#Objekt: Abell 7 40x, 70x & 114x: Nach ewiger Sucherei mit POSS-Karte dann das Sternfeld identifiziert. Mit OIII nicht den Hauch eines Nebels gesehen. Galaxie MCG-3-1358 ebenfalls unsichtbar.
#Objekt: Abell 18: Nicht gefunden.
#Objekt: Rotten Egg Nebel 40x & 114x: Nichts gesehen.
#Objekt: NGC 2440 Insektennebel 40x & 114 fach: Grünlich bei 40x. Kaum von einem Stern zu unterscheiden. Hell. Bei 114x leicht oval. Bei 230x nicht viel besser, da Seeing schlecht.  Kein Zentralstern sichtbar.
#Objekt: Thor's Helm mit UHC bzw. OIII: Bei 40x ist der auf dem Kopf stehende Helm sichtbar. Relativ hell. Schwache Ausläufer. Bei 70x und OIII Filter zeigen sich die Schweife deutlicher.
#Objekt: Leo-Triplet 40x und 114x: Bei 40x schöner Anblick. Bei 114x passen alle drei Galaxien gerade so ins Gesichtsfeld des 100 Grad Okulars. M65 & M66 deutlich heller als NGC 3628. Bei letzterem ist das Staubband schwach sichtbar. Sehr diffus und länglich. M65 & M66 mit deutlicher Helligkeitszunahme zum Zentrum hin. M65 hat Balken im Zentrum. Zwei Spiralarme indirekt sehr schwierig sichtbar. Heller Kern fast sternartig.
#Objekt: M51 114x: Mehrere Spiralarme sichtbar. Diffuses helles Zentrum. Begleiter ohne Strukturen mit hellem sternartigem Kern. NW-Vordergrundstern sichtbar.

Die zweite Beobachtungsnacht ging zu Ende. Die Nacht war sehr transparent und windstill. Der Unterschied zu Bonilla war deutlich. Es schien, als hätte jemand den Grauschleier vom Himmel gezogen.

Temperatur während der Nacht lag bei -1 bis -3.6 Grad Celsius und 41%-64% rel. Luftfeuchte. SQM-L Werte (jeweils drei Werte zenitnah (Z) bzw. um Polaris (P) gemessen und gemittelt): 19:45 MEZ - 21.4, 20:00 - 21.51, 20:45 - 21.54, 21:00 - 22.10 alle Z, 22:20 - 21.35 alle Z, 23:40 21.55, 0:35 21.60, 01:45 21.62, 02:05 21.64 P. 02:40 21.49 Z. Der Mond ist im Anmarsch!

!!3. Nacht - 06.01.2013 Pinar de Araceli

Ich beschloss einen weiter höher gelegenen Beobachtungsplatz aufzusuchen indem ich der Straße bis auf die Passhöhe folge. Dort können Höhen um ca. 2000m üNN erreicht werden. Doch zunächst geht es Richtung Pinar.

<a href="https://www.flickr.com/photos/106029581@N02/13827537633" title="P1020932 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7359/13827537633_7cba0225d9.jpg"  alt="P1020932"></a>

Die Anfahrt zum Beobachtungsplatz ist vergleichbar mit der zum Roque auf La Palma

<a href="https://www.flickr.com/photos/106029581@N02/13827461405" title="P1020935 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3803/13827461405_6a17a69184.jpg"  alt="P1020935"></a>

Pinienwald wohin man schaut.

An der Passstraße ist es trotz des flachen Gelänge aufgrund von Zäunen nicht möglich ins Gelände auszuweichen. Und hier ist der Wind leicht böig, so dass ich mich doch entschließe zurück zum Pinar fahren. Wie man aber schön an den Aufnahmen erkennen kann, ist es immer gut über der Inversionsschicht zu beobachten, da die Transparenz immer besser ist. Die Niederungen liegen auf etwa 1000m üNN.

<a href="https://www.flickr.com/photos/106029581@N02/13827482963" title="P1020936 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7139/13827482963_18de5d9a36.jpg"  alt="P1020936"></a>

Aussicht Richtung Süden von der Passstraße aus. Links im Bild der Berg "La Sagra" (2300m üNN).

<a href="https://www.flickr.com/photos/106029581@N02/13827785364" title="P1020938 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7367/13827785364_a3ea5dc07d.jpg"  alt="P1020938"></a>

Aussicht Richtung Südenwesten von der Passtraße aus.

<a href="https://www.flickr.com/photos/106029581@N02/13827763254" title="P1020940 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7033/13827763254_356f64b62d.jpg"  alt="P1020940"></a>

Zum Sonnenuntergang schaffe ich es diesmal leider nicht mehr. Macht nichts. Es werden trotzdem noch einmal schöne Fotos geschossen.

<a href="https://www.flickr.com/photos/106029581@N02/13827647064" title="P1020951 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7185/13827647064_4c692e380e.jpg" alt="P1020951"></a>

<a href="https://www.flickr.com/photos/106029581@N02/13827030053" title="P1020958 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7064/13827030053_fd46f09934.jpg"  alt="P1020958"></a>

Aussicht Richtung Süden und Westen vom nahe gelegenden Hügel aus. Im Hintergrund erkennt man Schneeflächen.

Wie tags zuvor excellente Bedingungen. 2 Grad Celsius und 57% rel. Luftfeuchte. Leichter Wind aus Osten. Auf dem Feldweg zum Platz habe ich Rehe gesehen.

#Objekt ist Jupiter: Das Seeing ist OK. GRF beim Durchgang beobachtet. Zart rosa. Blickweise tauchen viele Strukturen auf.
#Objekt: IC 1396 mit UHC- & OIII-Filter bei 40x: Diffuser großer Nebel um Sternhaufen. Letzterer ist mit bloßem Auge bereits auffällig. OIII bringt mehr Kontrast. Eindeutig neblig insbesondere an Stellen, wo sich keine Sterne befinden. Sehr groß. Insgesamt schwierig.
#Objekt: Abell 2 mit OIII bei 40x: Bei 114x schwacher runder Nebel. Mit Filter keine Sterne im Nebel auszumachen. Ohne Filter auch sihctbar. Nördlich rel. heller Stern.
#Objekt: Mirach's Geist 114x: Neben Mirach rel. runder Nebel mit Helligkeitszunahme zum Zentrum hin. Indirekt stellarer Kern sichtbar.
#Objekt: M31 bei 40x: Riesig. Großes Dunkelband sehr auffällig. Spiralarme sichtbar. NGC 206 als rel. helle Aufhellung einfach erkennbar.
#Objekt: M110 bei 40x: Groß und hell. Heller als M32 mit sehr hellem stellarem Zentrum. Bei 230x keine Strukturen erkennbar.
#Objekt: M32 bei 40x: Größer als M110 und auch diffuser. Oval mit Helligkeitszunahme zum Zentrum hin.
#Objekt: NGC 206 40x: Länglich von 3-4 Sternen flankiert, die ein gleichseitiges Dreick bilden.
#Objekt: G119 bei 230x: Ohne Detailkarte unmöglich. Zu viele schwache Sterne in der Region.
#Objekt: NGC 1360: Beim Ausuchen gleich auf drei Galaxien gestoßen. Großer diffuser ovaler Nebel mit Zentralstern bei 40x. Reagiert auf OIII. Zentralstern dann nur noch indirekt sichtbar. Bei 114x scheint südlicher Teil etwas heller als der Rest. Dreiteilung wie Mercedesstern indirekt sichtbar, wenn auch schwierig.
#Objekt: Abell 7 40x, 70x & 114x: Neuer Versuch. Galaxie MCG-3-13-58 taucht blickweise als diffuse Aufhellung an der richtigen Stelle auf. Stern NW ist etwas leichter. Bleibt auch diese Nacht mit OIII unsichtbar.
#Objekt: NGC891 114x: Grandios! Galaxie in Kantenlage.Staubband teilt die komplette Galaxie längsseitig. Spindelförmig zum Zentrum hin heller werdend.
#Objekt: M34 40x: Sehr lockerer Sternhaufen bestehend aus hellen Sternen. Unklar wo der Sternhaufen aufhört. Schon mit bloßem Auge sichtbar.
#Objekt: NGC 1023 114x: Relativ helle Galaxie mit hellem Zentrum. Außenbereich diffus. In den Außenbereichen zwei Sterne, die sich in O-W-Richtung mit dem Kern in der Mitte gegenüberliegen.
#Objekt: M42: No Comment.
#Objekt: NGC 1788 114x: Großer diffuser länglicher Nebel um zwei Sterne in O-W-Richtung. Einer deutlich heller als der andere. Weiterer schwächerer Stern im Nebelgebiet.
#Objekt: NGC 1981 40x: Ca. 10 sehr helle bläulich-weißlich leuchtende Sterne.
#Objekt: M45 40x: Wunderbar!
#Objekt: Jupiter im Bino bei 230x: Strukturen ohne Ende! Faszinierend.
#Objekt: M105 + NGC 3384: Bilden mit schwächerer Galaxie. M105 etwas heller. Beide mit hellen Zentren.
#Objekt: Abell 15: Suche abgebrochen.
#Objekt: IC 2177: Direkt südlich von M50 mit UHC-Filter bei 40x sichtbar. Füllt gesamte 1.5 Grad große Gesichtsfeld aus. Flankiert von offenen Sternhaufen. Möve ist beim Durchschwenken erkennbar.
#Objekt: Rosettennebel mit UHC 40x: Unglaublich schön!
#Objekt: Abell 20: Nicht gefunden.
#Objekt: M95 und M96: Helle runde Galaxien mit schachem Halo. Bei beiden keine Strukturen auszumachen.
#Objekt: Leo I 70x: Im 27mm Panoptik und durchschwenken des Teleskops erscheint Leo I als geisterhafte Aufhellung sehr schwach. SQM-L 21.42. Skizze angefertigt. Am nächsten Tag mit Fotos verglichen und sowohl Position als auch Größe passen nicht zur Beobachtung! Bin wohl einem Okularreflex aufgesessen.

Temperatur lag am Ende der Beobachtungsnacht bei 1.4 Grad Celsius und 37% rel. Luftfeuchte. SQM-L Werte (jeweils drei Werte zenitnah (Z) bzw. um Polaris (P) 
gemessen und gemittelt): 19:45 MEZ - 21.43, 20:15 - 21.53, 21:45 - 21.52 alle Z, 23:00 - 21.67, 01:40 - 21.49, 03:30 21.52 P.

!!4. Nacht - 07.01.2013 Pinar de Araceli
Leichte Zirrusbewölkung zu Beginn der Dämmerung, die aber schnell durchzieht. Windstill bei 2.3 Grad Celsius und 32% rel. Luftfeuchte. Windstill.

<a href="https://www.flickr.com/photos/106029581@N02/13826873473" title="P1020978 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7320/13826873473_3ae90df85d.jpg"  alt="P1020978"></a>

Jupiterbeobachtung. Achtung Fake! Wer genau hinschaut erkennt, dass kein Okular im Auszug ist. Und den Hut hatte ich auch falsch herum montiert!

#Objekt ist Jupiter im Bino bei 230x: Das Seeing ist excellent.
#Objekt: NGC 7662: Bei 40x fast sternförmig. Bei genauem Hinschauen aber eindeutig flächig. Blaue Farbe einfach auszumachen. Östlich schwacher Stern. Bei 230x wirkt innerer Teil leicht dunkler. Sehr hell. Keinen Zentralstern gesehen.
#Objekt: Jupiter. Seeing jetzt aber schlecht!
#Objekt: NGC 4239: Rel. großer länglicher lockerer Sternhaufen. Besteht aus rel. hellen Sternen. Im Zentrum befindet sich ein Doppelstern.
#Objekt: M1: Bei 40x heller ovaler Nebel. Am Nebelrand befinden sich 4-5 schwache Sterne. 114x Nebel hat leichte Helligkeitszunahme hin zur Mitte. Wirkt unruhig. Indirekt tauchen blickweise immer wieder schwache Strukturen auf. Bei 230x sind diese Dunkelstrukturen indirekt deutlich warnehmbar.
#Objekt: NGC 2175 40x: Diffuser großer Nebel um hellen Stern. Sehr groß.
#Objekt: NGC 1360: Doppelbeobachtung.
#Objekt: NGC 1532: Galaxie mit Staubband in N-S Richtung. Helles diffuses Zentrum. Sehr tiefstehend wenige Grad über dem Horizont.
#Objekt: NGC 1300: Schwächer als NGC 1532. aber ähnlich große ovale Galaxie mit stellarem Kern und zentralem Balken. NO steht dicht kleiner Begleiter. SW in 20-30' weitere kleine lichtschwache Galaxie auf der Verbindungslinie ?-Eridani und NGC 1353 gesehen.
#Objekt: NGC 1365: Galaxie in Längsicht. mit deutl. Helligkeitszunahme zum Zentrum hin. Beim Nachführen wieder neue Galaxien gesehen, die nicht im Atlas sind. Nörlich ca. ein Grad weitere Galaxie.
#Objekt: M79: Kleiner kompakter Kugelsternhaufen. Aufgelöst bis auf das dichte Zentrum. Im Halo verstreute Sterne sichtbar.
#Objekt: NGC 1964: Schwache Galaxie in Kantenlage mit hellem Zentrum. 3-4 Sterne im Halo sichtbar.
#Objekt: Abell 15: Suche abgebrochen.
#Objekt: IC 2177: Direkt südlich von M50 mit UHC-Filter bei 40x sichtbar. Füllt gesamte 1.5 Grad große Gesichtsfeld aus. Flankiert von offenen Sternhaufen. Möve ist beim Durchschwenken erkennbar.
#Objekt: Rosettennebel mit UHC 40x: Unglaublich schön!
#Objekt: Abell 20: Nicht gefunden.
#Objekt: Leo I 40x & 70x & 114x: Ovaler rel. großer Nebel. Sehr schwach. Am Besten im Panoptik 27mm. Erneut Skizze mit Feldsternen angefertigt. Volltreffer sowohl Position als auch Größe sind korrekt. SQM-L 21.46-21.55.
#Objekt: M53: Schöner kompakter leicht ovaler Kugelsternhaufen. Heller Stern nördlich.
#Objekt: M3: Großer ovaler Kugelsternhaufen. Bis ins Zentrum aufgelöst.
#Objekt: Coma Galaxienhaufen: Überall Galaxien.
#Objekt: M51 bei 114x: 4-5 Spiralarme mit auffälligen Knoten sichtbar. Materiebrücke zu Nachbargalaxie indirekt schwierig sichtbar. Unglaublicher Anblick. SQM-L 21.65. Einfach nur der Hammer. Die Spiralarme winden sich um helle diffuse Zentrum. Absolutes Highlight! Unbeschreiblich.
#Objekt: Vega geht auf (bloßes Auge).
#Objekt: M13 114x. Grandioser Abschluss dieser genialen Nacht.

Temperatur steigt auf 4.7 Grad Celsius an und der Wind dreht auf Süd. Wind stört aber nicht. SQM-L Werte (jeweils drei Werte zenitnah (Z) bzw. um Polaris (P) gemessen und gemittelt): 19:40 MEZ - 21.38, 20:10 - 21.44, 21:20 - 21.38 alle Z, 21:50 - 21.44 Z+P, 22:30 - 21.44, 0:15 21.48, 01:25 21.52 alle P, 04:05 21.65! Z

Geniale Nacht! Am Ende sehr, sehr transparent. Milchstraße sehr hell. Airglowband ist deutlich sichtbar. Wie auf La Palma! Gegen 04:30 Uhr geht der Mond auf. Gegen 05:00 Uhr packe ich ein und um 05:30 fahre ich zurück zum Dorf. Nach einem Congac an der Bar, bin ich gegen 06.30 Uhr im Bett.

!!5. Nacht - 08.01.2013 Pinar de Araceli

Meteoblue.com sagt seit Tagen hohe Zirrusbewölkung für den frühen Morgen des kommenden Tages voraus. Es steht ein Wetterumschwung an. Dies sollte die letzte Beobachtungsnacht sein.

Die Nacht beginnt klar wie die Nächte zuvor auch. +1 Grad Celsius, 45% rel. Luftfeuchte.

<a href="https://www.flickr.com/photos/106029581@N02/13827190054" title="P1020979 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3831/13827190054_793253a75a.jpg"  alt="P1020979"></a>

#Objekt: NGC 7027: Kleiner heller grüner Nebel. Oval bei 114x., aber rechteckig bei 230x und immer noch sehr hell. Eine Seite im Norden ist etwas heller. Bei 400x eindeutig rechteckig und immer noch sehr hell. Grüne Farbe weiterhin gut wahrnehmbar.
#Objekt: Abell 2 114x: Vorglüher für weitere Abells. Südlich eines Sterns. Diffuser ovaler Nebel. Wenn man ihn gefunden hat, gar nicht so schwer zu sehen. Ohne Filter indirekt leicht zu halten. 
#Objekt: Abell 82 114x mit OIII: Ewig bzgl. der richtigen Positionierung des Dobson rumgemacht. Dann mit OIII und indirektem Sehen aufgespürt. Anhand POSS-Karte anschließend zweifelsfrei das Sternfeld und Nebelposition identifiziert. Zartes Glimmen um einen Stern. Schwierig!
#Objekt: NGC 7789: Eigentlich zufällig bei 40x gefunden bei der Suche nach Abell 82/84? Schöner großer Sternhaufen bestehend aus schwächeren Sternen. Schön anzusehen!
#Objekt: Abell 84: Nach akribischer Sucherei mittels Karte gefunden und anschließend sofort indirekt gesehen. Zartes glimmen um einen Stern. Nach einer Weile bemerke ich, dass der Stern nicht im Zentrum steht, sondern etwas abseits. Kein Zentralstern mit OIII sichtbar. Westlich zwei schwache Sterne. Ohne OIII verschwindet der Nebel vollständig. Insgesamt recht schwerer PN. Mit Abell 84 habe ich insgesamt 1.5 h verbracht. Das meiste war die Ausucherei.
#Objekt: Merope's Nebel: Reflexe behindern die Beobachtung. Dazu ist das Seeing schlecht. Nichts gesehen.

Gegen 01.00 Uhr plötzlich Wind aus Süd mit Böen. +6.7 Grad Celsius und 25% rel. Luftfeuchte. Der Wind stört die Beobachtung massiv, so dass ich mich für den Abbau entschließe. SQM-L Werte (jeweils drei Werte zenitnah (Z) bzw. um Polaris (P) gemessen und gemittelt): 19:30 MEZ - 21.24, 20:00 - 21.37, 20:35 - 21.40 alle Z, 01:00 - 21.54.

Im Dorf angekommen konnte ich eine sehr dichte tief hängende lokal begrenzte Nebelwolke bestaunen, die zudem komplett ortfest blieb. Erinnere mich nicht sowas zuvor gesehen zu haben. An der Bar im Hotel gab es dann wie fast jede Nacht noch einen Aufwärmer und anschließend ging es ins Bett. Am Morgen trafen dann neue Nebelbänke - offenbar vom Meer her kommend - 
ein. Durch den Nebel konnte man zudem die Zirren durchschimmern sehen. Der Wetterbericht hatte diese exakt vorhergesagt. Dies war das untrügliche Zeichen, dass sich das Wetter- und damit das Beobachtungsfenster schlossen.

Es wurden daher die Sachen gepackt, die Rechnung bezahlt und es ging zurück nach Madrid. Dort angekommen brauchte ich ca. zwei Tage um mich wieder an den normalen Tag-Nacht Rythmus zu gewöhnen und mein Schlafdefizit aufzuholen. Wenige Tage danach habe ich mir eine Erkältung eingefangen :)

Nachtrag: In meinen Aufzeichnung habe ich nichts zur Beobachtung der Doppelsternhaufen IC 2391 & NGC 2669 gefunden, die im Feldstecher ausschauen wie M46 & M47, aber deutlich tiefer stehen. Von Deutschland aus sind sie unbeobachtbar. Vom Pinar aus habe ich sie in einer dieser Nächte beobachtet. Sie kulminieren ca. 1-2 Grad über dem Horizont. Ein toller Anblick im Dobson und auch im Feldstecher. Die Transparenz war in diesen Nächten ausgezeichnet. Im Feldstecher zeigte sich diese Region übersät mit vielen schachen Sternen bis hinunter zum Horizont. Ich hatte sehr, sehr viel Glück mit dem Wetter in diesen Tagen. Vor- und Nachher stellte sich wieder dauerhaft schlechtes Wetter ein...

Im Mai sollte in Spanien das Wetter nach einem niederschlagsreichen Winter wieder deutlich besser werden. Die langjährige Wetterstatistik des Calar Alto Observatoriums weist den April als statistisch gesehen schlechtesten Monat für astronomische Beobachtungen aus. Daher habe ich den Urlaub auf Anfang Mai verschoben, obwohl die astronomische Beobachtungszeit deutlich abnimmt. Trotzdem versprach die Beobachtung auf 40 Grad nördlicher Breite immerhin fast sieben Stunden Beobachtungszeit pro Nacht. Die astronomische Dämmerung beginnt gegen 22:30 Uhr MESZ und endet gegen 05:30 Uhr Als Beobachtungsgeräte waren der 14 Zöller sowie ein 10x50 Feldstecher mit dabei.

Die Wettervorhersage war im Vorfeld schlecht. In Spanien angekommen, bestätigten sich die Prognosen. Ein starker Luftstrom aus SW brachte starke Schleierbewölkung aus Äquator nähe bis nach Spanien. Selbst auf La Palma war zu dieser Zeit an Beobachtungen kaum zu denken, wie die Kameras der örtlichen Teleskope zeigten. So blieb mir wenigstens der Trost, dass es in Europa zu dieser Zeit - und damit auch Deutschland - nicht besser lief. Geärgert hatte ich mich allerdings über die Tatsache, dass am Tag des Abflugs nach Spanien das Wetter ganz passabel war. Ich hatte mich allerdings damit getröstet, dass ich dafür mit perfekten Himmel in Andalusien entschädigt werden sollte.

Nach einigem Hin und Her auf den einschlägigen Wettervorhersageseiten (www.aemet.es, www.meteoblue.com, www.7timer.com, www.eltiempo.es) und sogar verpassten Beobachtungsfenstern in Andalusien am 09. und 10. Mai, die im Nachhinein aber durch Zirren und relativ starken Wind wieder relativiert worden sind, sagten 7.timer.com und aemet.es klare Beobachtungsnächte nicht für Andalusien, sondern für Zentralspanien vorher. 
Der mir bekannte Beobachtungsplatz in Bonilla bot drei klare Nächte in Folge. Leider ignorierte ich dies zunächst, da meteoblue.com Bewölkung vorhersagte. So blieb diese Nacht zunächst ungenutzt. Im Nachhinein aber war dies auch kein Grund zum Ärgern, da der Taupunkt die ganze Nacht über praktisch erreicht worden ist. Hier muss man www.aemet.es ein riesen Lob aussprechen, da sie als einzige eine exakte Prognose dieser Werte geliefert hatte. Die Informationen lieferte mir ein Beobachtungskollege in der Nacht am 11. Mai, denn es sollte doch noch beobachtet werden.

Am 10. Mai war es in Valencia zunächst bewölkt. Dann aber klarte es auf und die Wetterprognose verbesserte sich zusehends. Auch mein Lieblingsbeobachtungsort bekam wieder für die Nacht gute Prognosen, so dass ich mich zwischen dem Pinar de Araceli und Bonilla entscheiden musste. Zwischendurch liebäugelte ich auch mit einem neuen Ort in der Nähe von Bonilla, Las Majadas, der im Vergleich mit Bonilla mehr Dunkelheit und Höhe versprach. Letztendlich zerschlugen sich aber diese Dinge wieder schnell, da sowohl der Campingplatz wie auch das Hostal in Las Majadas vollständig belegt waren. Darüber hinaus bietet die Höhenlage um 1400 üNN nochmal deutlich mehr Wind als die 900m in Bonilla. 
Dann ging alles sehr schnell. Ein Blick auf die lokalen Webcams in Andalusien (www.caha.es sowie www.santiagodelaespada.es) verhießen nichts Gutes. Gewitterwolken hingen tief über den Bergen und es sah nach Regen aus. Für 20 Uhr war dieser sogar vorhergesagt, selbst wenn es danach aufklaren sollte. Dies war mir alles zu stressig. Man überlege sich mal, dass man nach einem Regenschauer sein Teleskop aufbauen soll. Für den frühen Morgen war dann ebenfalls ein kurzer Schauer angekündigt. 
Also ging es fix zur Autovermietung. Nach knapp drei Stunden Autofahrt kam ich in Bonilla an. Der Himmel war tiefblau und war von Schönwetterwolken übersät. Im Hintergrund waren noch Zirren auszumachen, die aber zum Einbruch der Nacht verschwinden sollten.

!!11.05.2013 - 1. Nacht 20.00 Uhr bis ca. 06:00 Uhr MESZ

In Bonilla angekommen, besuchte ich zunächst die Unterkunft im Nachbarort Caracenilla und nahm mein Zimmer in der "Casa Sole" in Beschlag, das ich tel. bereits reserviert hatte. Schnell wurde mir noch ein Brot und etwas Proviant für die Nacht gemacht und dann ging es los. Ich hatte ja von der Ausrüstung noch nichts ausgepackt und das Teleskop gut vertäut. Alles musste ausgepackt und aufgebaut werden. In Bonilla am Beobachtungsplatz angekommen, war ein Beobachter bereits mit dem Aufbau seines 6 Zoll Refraktors beschäftigt. Andere sollte folgen. Schnell kamen wir ins Gespräch, wenn ich mich auch während der folgenden Nacht zurück hielt, um ungestört beobachten zu können.

Die Tatsache, dass ich den 14 Zöller aus Deutschland mitgebracht hatte, sowie das Aussehen des Geräts, versetzte einige schon in Staunen. Zusätzlich hatte ich auch einen 10x50 Feldstecher dabei, den ich vor allem für Beobachtungen der Milchstraße mitgebracht hatte. Die Nacht begann klar. Es waren zu Beginn der astronomischen Dämmerung 10.5 Grad Celsius und 51% Luftfeuchte. Um 22:45 Uhr zeigte das SQM-L 21.3 im Zenit an, was für den Beginn der Nacht für Bonilla schon gut war. Nachts variierten die Werte, vermutlich, zogen auch dünne Zirren durch, die sehr tief am Südhorizont deutlich erkennbar waren. Dennoch wurden gute Werte bis zu 21.48 gemessen.

<a href="https://www.flickr.com/photos/106029581@N02/13966067178"><img src="https://farm8.staticflickr.com/7300/13966067178_b24a5892ba_z.jpg" ></a>

Zunächst konnte ich keine mir unbekannten Galaxien jagen, da diese einfach zu hoch standen. Die 10 Grad Kulminationshöhenunterschied lassen grüßen. So Stand zu Beginn der Nacht das Sternbild Coma Berenices fast im Zenit. In der Abenddämmerung war die Mondsichel sichtbar. Auffällig war auch Jupiter, der sich in direkter Nähe befand. Die Nacht brach langsam herein. Es kamen auch noch weitere Autos an. Da mit Standlicht gefahren wurde, war dies kein Problem. Am Ende hatten sich ca. 10-15 Personen eingefunden. Fast wie bei einem kleinen Teleskoptreffen. Sicher auch ein Vorgeschmack auf die jedes Jahr im Juli hier stattfindende Starparty "Astrobonilla". Erstaunlich war, dass fast die ganze Nacht trotz Neuankömmlinge und Betrieb kaum störendes Licht benutzt wurde. Sehr angenehm. Um Mitternacht waren dann einige Feuerwerke zu hören, die aber visuell kaum störten, da sie auch rasch vorüber gingen. Nebenan wurde diskutiert, ob es sich anhand der Knallgeräusche um ein Hochzeit handelte oder nicht. Bin immer wieder erstaunt, dass so viele Feuerwerke stattfinden und praktisch an allen mir in Spanien bekannten Beobachtungsplätzen.

*M81 und M82. Im 9mm 120 Grad Oku erscheinen beide gerade so in einem Gesichtsfeld. Zum Beobachten ist das nichts, da man um beide zu beobachten um die Ecke gucken muss. Bei 14mm ist M81 nochmal deutlich heller. M82 kommt aber mit den Dunkelstrukturen fast im 9mm besser.
*M51. 114fach: Spiralarme sind eindrucksvoll sichtbar. Wenn auch nicht so schön wie im Januar unter Topbedingungen im Pinar.
*NGC 4361 im Raben: Heller Zentralstern sofort auffällig sichtbar. Bei 178fach im 9mm Okular umgeben durch einen diffusen recht großen Nebel. Bei längerem Beobachten eindeutig oval mit auslaufenden Spitzen. Blickweise indirekt hellere und dunklere Flächen sichtbar. Diese Beobachtung ist aber unsicher.
*Leo Triplet: Ohne Kommentar.
*M53: Am schönsten mit Binoansatz bei ca. 120fach. Relativ kompakter KSH.
*NGC 4565: Ein Klassiker, den ich aber zum ersten Mal beobachte. Kreidestrich! Edge-On Gx mit zentralem relativ hellem Bulge, der durch zentrales Staubband geteilt ist. Kernregion relativ hell. Sehr schöner Anblick.
*M64: In Deutschland vor ca. einem Monat bereits gesehen. Stellarer heller Kern umgeben von fast halbkreisförmigen dunklen Bogen.
*PANSTARRS im Feldstecher. Beim Abgrasen der Sternfelder in Nähe von Polaris direkt aufgefallen. Diffuser Kern mit zwei Schweifen. Sieht wie ein fast aufgespannter Fächer aus.
*NGC4559: Helle von 3-4 Sterne südlich eingerahmte GX. Zwei Begleiter nicht gesehen.
*NGC 4244: Schwacher aber deutlicher Kreidestrich. Ganz leicht kaum merkbare Helligkeitszunahme zum Zentrum hin aber ohne helles Zentralgebiet. Spitz auslaufende Enden.
*NGC 4490: Helle ovale leicht spindelförmige GX mit hellem Zentrum. Begleiter NO, kleine runde GX.
*NGC 4631: Sieht tatsächlich wie ein Walfisch aus! Das Atemloch wird durch einen Vordergrundstern markiert. Über diesem liegt seitlich leicht versetzt die ovale Begleitgalaxie. In NGC 4631 sind Strukturen wahrnehmbar.
*NGC 4559: Direkt daneben. Kleiner als 4631 aber im 14mm 100 Grad Oku zusammen in einem Feld sichtbar. Indirekt an einem Ende schwache ovale Begleitgalaxie erkennbar. Spindelförmig. Auf der Seite zum Begleiter hin deutlich heller mit Helligkeitszunahme zum Zentrum hin. Andere Seite schwach auslaufend.
*Diffuse helle Gx. mit sternförmigen Zentrum.

Mittlerweile ist es locker 3 Uhr morgens. Am 16 Zöller wird munter diskutiert. Die Beobachtungsbedingungen seien schlecht. Beobachtungen nicht mehr sinnvoll. Ich konnte innerlich nur schmunzeln und maß mal mit dem SQM-L nach. Es waren sicher keine Top Bedingungen. Aber immerhin wurden gemittelt 21.48 im Zenit angezeigt. Aber so ist das. Einige Mitbeobachter packten schließlich ein. Das 16 Zoll Monster wurde verstaut. Der Besitzer erklärte mir in einem Abschiedsplausch, dass er jetzt in seine Sternwarte im Dorf ginge und halt den Rest der Nacht stattdessen Fotos machen würde. Wir verabschiedeten uns und für mich ging es bis zur Morgendämmerung weiter.

*HCG 61: Viele GX. im Suchfeld. Leider die Box nicht gefunden.
*M101: Zunächst im Feldstecher aufgesucht. Leicht auffindbar. Bei 114fach toller Anblick. Sofort sind die Spiralarme sichtbar. Helle Knoten in den Armen sichtbar. Zentrum deutlich heller aber sehr klein im Verhältnis zu den Armen. Galaxie in Aufsicht.

Die Galaxienjagd ist beendet. Die Sommermilchstraße dominiert den Himmel. Der Skorpion ist prominent im Süden zu finden. Mittlerweile hat sich der Platz deutlich geleert. Mit mir bleibt noch ein Sternfreund bis zur Morgendämmerung. In der Folge beschließe ich wahllos die Sommerobjekte abzugrasen. Zunächst mal die KSH.

*M4: Im Feldstecher sehr schön anzusehen. Im Binokularansatz bei ca. 120 fach sehr lockerer KSH. Erinnert mich stellenweise an OS. Zentraler Balken eindrucksvoll sichtbar.
*Im Feldstecher relativ klein aber hell. Binokularansatz bei ca. 120 fach sehr kompakter KSH mit hellem kaum auflösbaren Zentrum. Viele feine Sterne. Toller Anblick auch bei 178fach im 120 Grad Okular.
*NGC7000: Testobjekt für das neue 25mm Okular. Hhmm. Suche bereitet Schwierigkeiten. Mit UHC Filter deutlich einfacher. Kenne das Objekt nur mit 40mm. Jetzt deutlich dunkler. Etwas heller als im Feldstecher aber viel eindrucksvoller.
*Pelikannebel: Passt schön ins Gesichtsfeld des 25mm. Helligkeitsunterschiede schön sichtbar.
*Zirrusnebel: Zuerst der Sturmvogel mit UHC. Unglaublich. Wie auf Fotos. Ganz feine schön gezeichnete Nebelstrukturen. Knochenhand: Hammer! Unglaublich fein und durch gezeichnete Nebelstrukturen. Beide Nebel passen jeweils ins Gesichtsfeld des Okulars. Beim Durchschwenken vom einem zum anderen Objekt wird auch Pickering's Dreieck schön sichtbar. Absolutes Highlight dieser Nacht. Anschließend mit 9mm. Nicht so schön. Die Zartheit der Filamente verschwindet. Im 25mm ohne UHC gehen die schwächsten Teile im Himmelshintergrund unter.
*M17: Auch hier zeigt das 25mm mit dem UHC einen von weiten Ausläufern umgebenen Schwan. Im hellen Zentrum sind deutliche Dunkelstrukturen auszumachen.
*M16: Auch hier heller schöner Nebel in Form eines Adlers. Nicht so spektakulär wie M17.
*Sommermilchstraße im Schützen: Schöner Anblick von M6 und M7 im Feldstecher. Im Teleskop nicht besser. Beim Abgrasen der Sternwolken im Schützen tauchen eine Vielzahl von schwachen KSH auf. Dann der Tintenklecks. Schöner Dunkelnebel. Außerhalb ein OS. Der Pfeifennebel ist nicht so deutlich im Teleskop. Aber die ihn flankierenden KSH sind gut wahrnehmbar. M24 passt gar nicht ins Gesichtsfeld. M8 ist auch riesig.
*M20: Im 9mm spektakulärer Anblick. Riesiger Nebel. Dunkelschläuche sehr gut erkennbar. Einfach umwerfend.
*M22 & M13: Im 9mm super schön anzusehen. Bis ins Zentrum aufgelöst. Aus dem Zentrum stechen etwas abseits helle Sterne hervor. Ovaler KSH. Im direktem Vergleich mit M13 deutlich größer und heller. M13 hingegen scheint deutlich mehr "Arme" zu haben.

Mittlerweile rückt im Osten die Morgendämmerung heran. Nur ein Mitbeobachter ist noch da und packt schon eine ganze Weile ein. Die meisten müssen ja zurück nach Madrid, d.h. mindestens 1.5 Stunden Autofahrt zurück nach Hause. Ich habe es vergleichsweise nah. Nachdem alles verstaut ist, bin ich um 6.30 Uhr im Bett.

Anbei die SQM-L Werte der Nacht: 22:45 Uhr 21.3 im Zenit, 23:30 Uhr 21.40 im Zenit sowie 03:15 Uhr 21.48 im Zenit. Temperatur während der Nacht lag zunächst bei +10 zu Beginn der Morgendämmerung bei +3 Grad Celsius und die rel. Luftfeuchte entsprechend zwischen 50% - 83%. Ich war froh dass ich die Winterbekleidung mit dabei hatte.

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"Casa Sole" in Caracenilla

Am nächsten Nachmittag präsentiert sich das Wetter wie am Vortag. Leider gelingt es mir nicht wie tags zuvor das frei verfügbare Wifi zu nutzen. Offenbar ist es überlastet. Ich beschließe noch eine Nacht dran zu hängen. Diese Nacht muss ich mir gegen den Tau etwas einfallen lassen. Am Ende der Beobachtungsnacht waren einige Sachen doch etwas nass. Die Okulare des Feldstecher und des Binoansatzes neigten bei Einsatz doch recht schnell zu beschlagen. Ich sollte die Sachen einfach nicht einfach im offenen Koffer legen, sondern diesen besser zuklappen auch wenn dies ein bisschen nervig ist. Leider sind die Batterien der Kamera auch schon leer und das Ladegerät ist in Deutschland vergessen worden. So wird es wohl keinen weiteren Fotos mehr geben. Das ist aber nicht schlimm, da der Beobachtungsort ja bereits hervorragend von mir ;) dokumentiert worden ist.

!!12.05.2013 - 2. Nacht 20.00 Uhr bis ca. 05:30 Uhr MESZ

Am Folgetag habe ich erst mal bis weit nach Mittag ausgeschlafen. Anschließend habe ich die Notizen der Nacht gesichtet und digitalisiert. Die neueste Wetterprognose konnte ich - wie bereits erwähnt - nicht anschauen. Das Wetter schien aber zu halten. So beschloss ich noch eine Nacht zu bleiben. Interessant wären auch noch andere Orte gewesen. Der Pinar de Araceli ist aufgrund der langen Anfahrt nicht möglich. Mal abgesehen von der Tatsache, dass ohne bekannte Wetterprognose hinzufahren idiotisch ist.
Der Tag verging wie im Flug. Auch Dank der Tatsache, dass ich diesen Bericht verfasse. Ich beschäftige mich auch mit dem Gedanken, mal etwas zu zeichnen, um die Beobachtungseindrücke dauerhafter "abzuspeichern". Insbesondere die Tatsache, dass bestimmte Objekte wie M51 oder M101 bei längerem Studium z.T. ein anderes Aussehen erhalten, als bei nur kurzer Beobachtung.

Gegen 20.30 Uhr geht es los. Ca. 21 Uhr MESZ geht die Sonne unter. Diesmal bin ich allein. Es ist Sonntag. Zunächst ziehen Wolken am Südosthorizont entlang. Sie kommen schließlich näher aber scheinen sich aufzulösen. Es weht ein schwacher Wind aus Westen. Die Luftfeuchte klettert schnell auf 50%. Die Grillen zirpen aus den umliegenden Weizenfelder. Die Mücken beginnen schnell an zu nerven. Sie sind recht groß, so dass man Sie im Landeanflug gut hören kann. Daher sind Sie wohl auch letzte Nacht nicht zum Erfolg gekommen. Bei mir zumindest nicht. Die Wolken lösen sich rasch auf. Der Plan ist zunächst wieder auf Galaxienjagd zu gehen. Später dann wieder die Sommerobjekte einstellen. Die schwache Mondsichel steht prominent am Westhimmel auf etwa gleicher Höhe wie Jupiter.

Die Beobachtungen gehen gegen 22 Uhr los. Zunächst die schmale Mondsichel im Bino. Dann Jupiter und Saturn. Leider ist das Seeing nicht sehr gut. Temperatur liegt bei angenehmen 14 Grad Celsius. Obwohl der Mond noch nicht untergegangen ist, wird im Zenit vom SQM-L schon ein Wert von 21.36 (gemittelt) angezeigt. Das sieht nach Bestbedingungen für diesen Platz aus!

*''M3'': Nahezu kreisrunder Kugelsternhaufen. Etwas abseits der Mitte tritt ein deutlicher hellerer Stern aus dem Zentrum hervor. Erinnert ein bisschen an M13. Lässt sich bis ins Zentrum auflösen.

Im Süden ziehen vereinzelt kleine Wolkenfetzen durch. Sie sind dunkler als der Nachthimmel. Dass mit den Wolken sollte diese Nacht doch noch ein Problem werden.

*''M104''. 65x: Direkt gefunden. Helle spindelförmige Gx mit Staubband. Bei 114x ist das Staubband auffällig. Staubband liegt nicht genau auf der Längsachse sondern ganz leicht versetzt. Auch im 10x50 Feldstecher direkt auffällig sichtbar.
*''M51'': Besser als gestern. Es tauchen am Himmel immer wieder kleine Wölkchen auf. Sie stören aber nicht.
*''M106'' 114x: Zwei große sichelförmige gegensätzlich angeordnete Spiralarme sind sofort auffällig. Sehr große helle Gx. Westlich eines kleinen Stern eine weitere zigarrenförmige schwache Gx.
*''NGC 3227'' & ''26'' 114x: Zwei relativ kleine Gx. Die größere, NGC 3227, hat sternförmiges Zentrum. Beide sind elliptisch wobei NGC 3226 kleiner ist und einen diffusen Kern hat. Abseits des Kerns erscheinen beide diffus. Einfach auffindbar.
*''HCG 61'' - "The Box": Zunächst recht schwierig zu sehen. Dann aber indirekt leicht auszumachen. 4 Gx sichtbar, die ein Rechteck bilden.
*''M85'': Helle und große diffuse Gx mit hellem Zentrum. NO weitere schwache GX. Im 10x50 Fernglas einfach sichtbar.
*''M100'': Große diffuse Face On Gx. Indirekt sind Spriralarme erkennbar. Diffuser heller Kern.
*''M98'': Helle zigarrenförmige große Gx mit diffusem kaum helleren Zentrum.
*''M99'': Rel. helle GX mit diffusem hellen Kern. Ansätze von Spiralarmen indirekt mit Mühe sichtbar. Etwa 0.5 Grad nördlich befindet sich eine Miniaturausgabe der Heringsgalaxie.

Mittlerweile wird der Himmel richtig gut. Das SQM-L klettert auf 21.53. Um den Polarstern sind es auch noch 21.46. Die Sommermilchstraße quillt über den Osthorizont. Die Sternenwolken im Schwan, im Schild sind richtig gut sichtbar. Beeindruckend für das bloße Auge. Das sind nun wirklich sehr gute Bedingungen. Daher beschließe ich nochmal die "Stars" M51 und M101 einzustellen.

*''M51 & M101'': Deutlich besser als vor ein paar Stunden. Die Spiralarme treten jetzt deutlicher hervor. Die Gx stehen auch noch beide nahe dem Zenit. Der Himmelhintergrund ist bei AP 3mm jetzt deutlich dunkler. Fast schon ist schwarze gehend. Das SQM-L liefert exakt für die Himmelregion gemittelt 21.53. Im Vergleich zum Pinar, wo ich trotz der geringen Höhe über dem Horizont bei Bestbedingungen und SQM-L Werten, die nochmals einen Ticken besser waren, M51 vor einem pechschwarzen Himmelhintergrund beobachten. Dabei waren die Spiralarme direkt auffällig und plastisch sichtbar. Das Problem bei solchen Beobachtungen ist, dass ich beim Vergleich im Nachhinein oft zweifele, ob dies nicht zumindest teilweise Einbildung war. Bei M51 war es definitiv nicht der Fall und es ist interessant in einer Nacht mit kurzem Zeitabstand die Auswirkungen der Himmelsqualität an den Objekten nachvollziehen zu können. Um es auf den Punkt zu bringen: Unter mittelmäßigen Bedingungen muss man sich die Beobachtung schwer erarbeiten, insbesondere an M51 & M101. Die Spiralarme sind zwar bei aufgehelltem Himmel zwar diffus sichtbar aber lassen sich nur indirekt gut unterscheiden. Dabei scheint die Gx ihr aussehen zu verändern. Vergleicht man Zeichnungen unterschiedlicher Beobachter von M51 miteinander, so scheinen sich diese oft deutlich zu unterscheiden. Keine Ahnung ob dies der Grund ist, aber im "direkten" Vergleich der Beobachtungen scheint es mir so. So gleichen einige Zeichnungen einer "Mohnschnecke". Andere hingegen zeigen M51 hingegen elongierter mit "weniger" Spiralarmen. Die Form und deutliche Unterscheidung der Spiralarme lassen sich offenbar bei dunklerem Himmel besser wahrnehmen.

Mittlerweile werden die Wolken immer mehr. Sie ziehen von Westen heran und stören vor allem dort die weitere Beobachtung. Daher schwenke ich nach Osten auf den Ringnebel. Im Südwesten, vermutlich in Huete, steigt dann wieder ein Feuerwerk. Nach 10min ist das Ganze vorüber.

*''Ringnebel'' bei 178x: Im 120 Grad Okular eine Pracht. Sehr hell. Innenbereich ebenfalls deutlich heller als der Himmelshintergrund.
*''M97'': Zunächst bei 65x. Kreisrunder diffuser Nebel zusammen mit Gx in einem GF einfach sichtbar. Bei 114fach und OIII Filter werden die "Augen" indirekt schwierig sichtbar. Leider kann ich auf dieses Objekt nur einen kurzen Blick werfen, da weitere Wolken durchziehen.
*''PANSTARRS'': Gestern hatte ich in der Beobachtungshektik vergessen den Kometen auch im Teleskop einzustellen. Gegenüber dem Vortag hatte ich den Eindruck, dass der Komet im Feldstecher an Helligkeit abgenommen hat. Bei 65x im Teleskop toll sichtbar. Wie bereits gestern im Feldstecher zeigt sich ein diffuser Kern mit zwei nahezu 180 Grad abgehenden Schweifen. Einer ist etwas heller.
*''Barnard 142 & 143'': Genial! Dunkelwolkenkomplex komplett bei 65x in einem GF sichtbar.
*''M24'': Bei 65x passt M24 nicht ins gesamte GF. Tolles Sternfeld. Sehr schön hier Barnard 92. In der Mitte steht ein alleinstehender Stern.
*''Pfeifennebel'': Bei 65x sind die Dunkelstrukturen besser als gestern aber widerum nicht so gut wie im Feldstecher zu sehen. Vermutlich wegen der Größe des Dunkelnebels. Im Feldstecher hingegen phänomenal. Sogar der KSH NGC 6316 schon im Feldstecher als Wölkchen erkennbar. Der Pfeifennebel zeigte sich so kontrastreich, dass er von den unterhalb durchziehenden dunklen Wolken kaum zu unterscheiden.

Die Wolken haben jetzt fast den ganzen Himmel bedeckt. Stelle ich ein Objekt ein, sind sie kurze Zeit auch schon da. Das ist wirklich Schade, da durch die Lücken ein wirklich hervorragend transparenter Nachthimmel hervor scheint. Und das bis zum Horizont. Die Kollegen hatten auf jedenfall Recht ;) Hier geht, wie man heute Nacht gesehen hat, deutlich mehr (als gestern). Schade nur, dass am Ende die Wolken dominierten und ich den transparenten Himmel nicht intensiver nutzen konnte. Mittlerweile ist es auch schon 05 Uhr und ich beschließe zusammenzupacken. Als die Morgendämmerung beginnt, bin ich soweit und komme nach kurzer Fahrt um 6 Uhr etwas früher als gestern an und damit auch etwas früher ins Bett.

!!Fazit

Wieder zwei gute Beobachtungsnächte in Spanien. Insgesamt habe ich schon sieben Tage dieses Jahr hier beobachtet und nur zwei in Deutschland. Am Ende hat es sich gelohnt das Teleskop mitzubringen und entgegen aller schlechten Vorhersagen abzuwarten und jede Chance zu nutzen. Zwar konnte ich diesmal nicht an meinem Lieblingsbeobachtungsplatz spechteln, aber so ist das nun mal. Schön wäre es auch gewesen neue Beobachtungsplätze in Cuenca mit besseren Bedingungen zu nutzen. Von den Mitspechtlern konnte keiner definitiv einen Platz empfehlen. Die im Internet bekannten wie der Campingplatz in Las Majadas ist lt. den Mitbeobachtern nicht zu empfehlen, da hier die ganze Nacht Festbeleuchtung ist. So bleibt dies ein Thema für die Zukunft. Alles in Allem insgesamt zwei schöne Nächte in Bonilla. Der Platz bietet eine sehr gute Sicht nach Süden, sogar unter den mathematischen Horizont. Die Lichtglocken am Horizont machten sich aufgrund der sehr guten Bedingungen kaum negativ bemerkbar. Wichtig ist gute Winterbekleidung um eine Beobachtungsnacht voll nutzen zu können. Ich war tatsächlich überrascht, wie kalt es zu Beginn der Morgendämmerung war. Zwar war es gefühlt wärmer als im Januar, was wohl daran liegt, dass der Boden noch Wärme abstrahlt.
Noch ein paar kurze Bemerkungen zu den umliegenden Dörfern. Bonilla und Caracenilla haben nur noch sehr wenige permanente Einwohner. Lt. dem Ehemann der Wirtin, sind es in Caracenilla ca. 52 Personen und in Bonilla selbst weniger als fünf. Trotzdem werden in Caracenilla die Kircha mit Flutlicht angestrahlt. Der Mitbeobachter vom Samstag meinte, dass er dies beim Bürgermeister bereits angesprochen habe. Er argumentierte mit den Stromkosten. Dies sei aber gar kein Problem lt. Bürgermeister, da der dafür notwendige Strom aus regenerativen Energien der Gemeinde vor Ort erzeugt werde. In Madrid wird bereits an Eurovegas gebaut; einem riesigen Vergnügungsviertel nach dem Vorbild von Las Vegas. Zum Glück auf der von Bonilla aus gesehen abgewandten Seite. Dennoch ist davon auszugehen, dass dies auch auf den Himmel von Bonilla in einigen Jahren, wenn der Bau fertiggestellt ist, negative Auswirkungen haben wird.

Wieder in Spanien! Ferien! Urlaub! Der Plan war zunächst in Bonilla zu beobachten und falls sich die Gelegenheit zum Neumond ergab nach Andalusien zu fahren. Einen Beobachtungsplan gab es nicht. Wie üblich wollte ich einfach den Deep Sky Beobachteratlas "durchspechteln". Als Beobachtungsgeräte hatte ich meinen 14 Zoll Dobson dabei. Darüber hinaus meinen 10x50 Feldstecher.

!Bonilla

!!30.07.2013 - 1. Nacht bis ca. 02:30 MESZ

Ich bin deutlich früher los als für die Beobachtung nötig. Ich wollte ein paar Fotos in der näheren Umgebung machen. Dies ist eines der Ergebnisse.

Aussichtspunkt bei Verdepino de Huete

Schließlich kam ich rechtzeitig vor Untergang der Sonne am Beobachtungsplatz dem „Mirador de las Estrellas“ an.

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Ankunft am Mirador de Estrellas. Das Gelände ist für jedermann frei zugänglich und gehört dem Astronomieverein AAM in Madrid.

Die Bedingungen waren hervorragend. Tiefblauer Himmel. Transparenz deutlich besser als üblich. Erdschatten ging sehr dunkel und transparent auf. Zunächst wollte ich ein bisschen im Skorpion beobachten. Hin und wieder auch mal einen "Augenverbieger", d.h. ein schwieriges Objekt, wie z.B. einen Abell. Nach Einbruch der Nacht 21.56 um 23:45.

Beobachtungsbereit für die nächste Nacht.

Kurz nach Sonnenuntergang war ich bereits beobachtungsbereit, da tauchte doch noch jemand auf. Wir sprachen ein wenig über Astrofotgrafie. Der Kollege wollte ein paar Aufnahmen mit relativ kleinen Geräten machen. Schließlich brach die Dämmerung herein und jeder ging seine Beobachtungen an.

*''Abell 38'': Mit diesem Objekt sollte ich die folgenden Nächte sehr viel zu tun haben. Nicht gesehen.
*Verschiedene Standardobjekte wie: ''Tintenklecks'', ''M4'', ''M24'', ''M8'' und ''M20'', ''M71'' und ''M27''.

Gegen 02:30 Uhr ging der Mond auf.

!!31.07.2013 - 2. Nacht bis ca. 02:30 MESZ

Aufgang des Erdschattens in Bonilla. Die Bedingungen waren wieder hervorragend.

Bedingungen wie tags zuvor. Gegen 23:00 Uhr sehr windig. Wind aus S-SW. Schätze mit Böen um die 40 km/h. Beobachtungen mit dem Dobson sind so nicht mehr sinnvoll möglich. Selbst in den Schutzbauten fährt der Wind mit einer Stärke ein, dass der in den Ecken befindlicher Reisig aufgewirbelt wird und teilweise in meinen Augen landet. Ich beschließe schließlich in eine der Schutzbauten mit sehr hohen Mauern "umzuziehen". Der Dobson wurde zuvor schnell abgebaut. Jetzt sollte den 10x50 Feldstecher zum Einsatz kommen. Auf dem Rücken liegend wurde die Milchstraße im Schwan und im Pfeil begutachtet. Gegen drei Uhr morgens ging's es dann heimwärts.

!!03.08.2013 - 3. Nacht bis ca. 04:30 MESZ

Heute waren ca. 15 Leute aus Madrid angereist. Die anderen Tage waren kaum Leute da. An zwei Tagen jeweils ein Astrofotograf. Jetzt waren aber allerlei Leute da. Auch alte Bekannte vom Mai bzw. letztem Jahr. Mit dabei auch Manuel mit einem Kumpel. Mit beiden hatte ich eine sehr schöne Beobachtungsnacht verbracht an deren Ende wir die Jupiterbedeckung als Highlight verfolgen konnten.
Beim Aufbau des Dobson bekam ich einen gewaltigen Schreck. Der Hut war nicht auffindbar und ich wusste genau warum. Ich hatte ihn gut versteckt vor den Kindern zuhause deponiert und dort vergessen. Verdammt!
Zwar wäre es möglich gewesen zurück zu fahren und den Hut zu holen. Allerdings erschien mir das als völlig verückt,so dass ich mich dem Gedanken anfreundete mit dem Feldstecher zu beobachten und hier und dann zu bei den Kollegen mit zu schauen. Das hieß 4 Zoll Apo und 10 Zoll Newton. Hauptsächlich wurde gebabbelt. Manuel zeigte mir Stolz seine Zeiss Ortho Okularsammlung. Interessanterweise hatte Manuel ein SQM dabei. Wir verglichen die Messwerte meines SQM-L mit seinem SQM. Während ich Werte um 21.5 im Zenit abseits der Milchstraße maß, wurden beim SQM nur 21.2 ohne Milchstraßenkorrektur gemessen.
Es wurden unterschiedliche Objekte angefahren. Im 10 Zöller empfahl ich Jones 1. Leider war das Objekt für mich fast an der Wahrnehmungsgrenze. Der Besitzer konnte allerdings mehr Details erkenne als ich. Um 04:30 Uhr ging es schließlich heimwärts.

!!04.08.2013 - 4. Nacht bis ca. 05:30 MESZ

Transparenz war wieder sehr gut. Leichter Wind aus unterschiedlichen Richtungen. Zum Glück nicht störend.

*''NGC 6544'': Sehr kleiner KSH. Bei 180x bis ins Zentrum aufgelöst. Wirkt unregelmäßig.
*''NGC 5553'': KSH. Lässt sich kaum auflösen. Viele schwache Sterne. Westlich heller Stern am Rand.
*Nebel um γ Cygni - ''IC 1318 A-'' mit UHC-Filter: A hat dreieckige Form mit abgerundeten Ecken. B & C bilden zusammen die Flügel eines Schmetterlings. Beobachtung bei 40 - 56x Vergrößerung.
*''NGC 6888'': Bei 56x mit UHC sehr fein und kontrastreich. Innerhalb der Sichel große Helligkeitsunterschiede und Knoten sichtbar.
Der Wind nimmt jetzt wieder deutlich zu. Heftige Böen. 03:15 Uhr baue ich ab. Um 03:45 Uhr mache ich mich auf den Heimweg. Mittlerweile war es wieder windstill.

!Pinar de Araceli

Insgesamt 5 Nächte unter meist perfekten Bedingungen konnte ich für die Beobachtung nutzen. Dieser Beobachtungsplatz ist zusammen mit dem Roque de los Muchachos zu meinen Lieblingsbeobachtungsplatz geworden.

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Blick über die Sierra de Cazorla y Segura.

Das Wetter versprach sich lt. Wetterbericht kurzfristig zu ändern. Ein Hochdruckgebiet über dem Atlantik sollte klare und frische Meeresluft das spanische Festland bringen. Die in Südspanien bestehende Wetterlage mit sehr intransparentem Himmel, Calima und Quellwolken sollte weichen. Um möglichst viele Nächte nutzen zu können, bin ich bereits einen Tag vor dem Wetterumschwung aufgebrochen. Natürlich auch in der Hoffnung, dass der Wetterumschwung während der Nacht stattfinden wird. Aber es kam noch viel besser.
Nach fünfstündiger Autofahrt zeigte sich vor Ort ein wolkenverhangener Himmel, so dass ich mich direkt mit Gedanken anfreundete, welche alternativen Beschäftigungsmöglichkeiten sich ergeben könnten. In Ermangelung dieser, bin ich einfach los um zu schauen, wie es dort wohl ausschauen würde. Auf der Fahrt wurde der Himmel zusehends besser. Kurz vor Sonnenuntergang am Beobachtungsplatz angekommen, zeigte sich ein sehr transparenter Himmel. Die Entscheidung zu fahren, stellte sich als richtig heraus.
06.08.2013 - 5. Nacht bis ca. 04:30 MESZ

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Aufgrund des frischen Westwindes in einer Mulde aufgebaut.

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Sonnenuntergang über dem Pinar de Araceli.

Ein paar hohe Schleierwolken waren noch da, zogen aber recht zügig ab. Wind aus Westen, zum Teil frisch. Daher beschloss ich in einer Senke aufzubauen. Die Nacht begann schließlich mit richtig guten SQM-L Werten. 23:10 21.64, 23:40 21.66 und 0:40 21.66 alle gemessen im Zenit. Die Temperaturen waren mit 10 Grad Celsius und 37% rel. Luffeuchte auch zu ertragen.

*''NGC 6316'': Kleiner kugelrunder KSH. Sieht selbst bei 180x wie ein Feldstecherobjekt aus. Heller Stern östlich.
*''NGC 6304'': Größer als 6316. Wirkt indirekt aber bereits granuliert.
*''NGC 6522'': Kleiner heller KSH. Bildet mit ''6528'' ein schönes Paar. Zentrum deutlich heller. Östlich kleiner Vordergrundstern nahe des Außenbereichs. Wirkt granuliert.
*''NGC 6528'': Sehr kleiner KSH. Nicht auflösbar. Zentrum kaum heller.
*''M24'' - ''B86'' + B ? + NGC ?: Wunderbar.
*''B142 & 143'', ''M16'',''M28'' & ''M22''.

Um 04:30 Uhr ging es wegen zunehmenden Winds und durchziehenden Zirren los Richtung Hotel. Was für ein Glück, das es mit dem Wetter so gut geklappt hat. Nach Vormittags- und Nachmittagsschlaf ging es gegen 19 Uhr wieder los.

!!07.08.2013 - 6. Nacht bis ca. 04:30 MESZ

Der Abend begann mit einem Paukenschlag! Sehr, sehr transparenter Himmel. Bestbedingungen! Das SQM-L hat sich fast nicht mehr eingekriegt :) 22:50 21.67 Z, 23:10 21.70 Z, 05:10 21.78! im Pegasus Viereck.

*''NGC 6369'':"Little Ghost" Schon im Übersichtsokular bei 56x gut zu erkennen. Es zeigt sich ein kleiner runder Nebel. Bei 180x offenbart er sich als Miniaturausgabe des Ringnebels.
NGC 6401: Beim falschen Positionieren zufällig gefunden. Runder Nebel ohne Helligkeitszunahme zum Zentrum hin. Südwestl ein heller Stern. Indirekt treten aus dem Haufen immer wieder Einzelsterne hervor. Besonders einer im NO.

*Verschiedene Objekte in der Sagitarius Milchstraße
*''NGC 6441'': Unterhalb von M7 zu finden. Einfach auffindbar da unmittelbar in der Nähe eines hellen Sterns. Nicht auflösbar.
*''Abell 65'': Ovaler Nebel. Kein Zentralstern sichtbar. Relativ einfach mit OIII Filter zu sehen. Indirekt auch ohne Filter sichtbar. Selbst bei AP 5.6 noch.
*''Abell 55'': In der Nähe eines hellen Sterns, daher einfach aufzufinden. Mit OIII Filter bei 56x direkt gefunden. Kleiner ovaler Nebel bei 114x und OIII Filter. Keine Strukturen erkennbar.
*''Barnards Galaxie'': Riesig, oval und ohne Struktur.
*''NGC 6818'': "Little Gem Annular Nebula": Grüner heller Nebelball bei 56x. Bei 180x immer noch sehr hell. Blickweise im Innern etwas dunkler so daß sich ein Ring andeutet.
*''Helixnebel'': Unglaublich. Schon ohne Filter bei 56x und 5.6 AP wird die Helix-Struktur dieses riesigen Nebels kontrastreich sichtbar. Hebt sich deutlich vom Himmelshintergrund ab und das ohne Filter. Der kurze Blick durch den Feldstecher bestätigt dies. So gut, d.h. kontrastreich habe ich den Helixnebel noch nie zuvor gesehen, auch nicht im Feldstecher. Bei Einsatz eines OIII Filter bei 114x werden Strukturen im Innern sichtbar. Der Zentralstern ist ebenfalls mit Filter sichtbar.
*''M56'': Wirkt dreieckig. Lockeres KSH, der bis ins Zentrum aufgelöst wird.
*''NGC 6939 & NGC 6949'': Schönes Paar. Habe ich schon öfters beobachtet mit völlig unterschiedlichen Geräten. Im 10x50 Feldstecher zeigt sich das Paar vor pechschwarzem Himmelshintergrund als zwei kleine Nebelwölkchen. Dabei glaube ich sogar einige Sterne des Sternhaufens indirekt aufblitzen zu sehen, so dass ich glaube den offenen Sternhaufen von der Galaxie unterscheiden zu können. Der Blick durch den 14 Zöller bestätigte dies. Die hellsten Sterne haben lt. messier45.com eine Helligkeit von 11.9 mag, was für einen Feldstecher der Größe wohl grenzwertig ist. Insbesondere bei freihändiger Beobachtung. Bei 56x im Dobson in einem Gesichtsfeld sichtbar. Der Haufen ist hierbei vollständig aufgelöst und die Galaxie zeigt eindrucksvolle Spiralarme. Insbesondere die Galaxie habe ich im letzten Jahr auf dem Roque de los Muchachos bei guten Bedingungen im 16 Zöller nicht so gut gesehen. Wunderbarer Anblick!
*''Abell 73'': Etwas Übermütig aber leider nichts. Nicht gesehen.
*''NGC 7023'': Heller relativ großer Nebel um hellen Stern. Nördlich verläuft ein diffuses Dunkelband und teilt den Nebel. Schwierig zu erfassende Form. Diffus und ausgefranzt.
*''M56'': Wirkt dreieckig. Lockerer KSH, der bis ins Zentrum aufgelöst wird.
Zum Schluss Jupiter beim Aufgang. Nichts. Das Seeing ist natürlich wenige Grad über dem Horizont nichts. Zum Schluss ''B142 & B143''. Umwerfend! Glaube den Gegenschein im Steinbock ausgemacht zu haben.
Die Bedingungen waren hervoragend. Das SQM-L markierte Rekordwerte. Der Himmel war bei der Betrachtung mit bloßem Auge sehr, sehr dunkel fast schon ins schwarze gehend. Der Horizont war mit sehr schwachen Sterne gespickt. Daher beschloss ich, dass sehr südlich stehende Objekt ''NGC 253'' "Silver Dollar" & NGC 288 als Abschluss zu beobachten. Ich wurde nicht enttäuscht. Insbesondere der "Silver Dollar" hob sich sehr kontrastreich vom Himmelhintergrund ab. Und das obwohl er nun wirklich nicht sehr hoch stand. Die Nacht ging mit Beginn der Dämmerung zu Ende. Gegen 7 Uhr war ich dann im Bett.

!!08.08.2013 - 7. Nacht bis ca. 04:15 MESZ

Tagsüber zogen Zirren auf. Ich habe heute auch notgedrungen die Unterkunft wechseln müssen. Da ich nicht reserviert hatte, waren ab Freitag bis Sonntag alle Zimmer im Dorf bei den bekannten Hostals reserviert. Grund waren die Dorffiestas, die traditionell überall im August in ganz Spanien stattfinden. Dazu wurden viele ehemalige Bewohner und Gäste erwartet. Dies war für mich aber ein Glücksfall. So war ich am Vortag bereits auf die andere Seite der Sierra ins ca. 40 km entfernte Dorf Santiago de la Espada gefahren und hatte dort im Hotel San Franscisco ein Zimmer reserviert. Das war zwar mit 25 Euro etwas teurer, aber dort ging tagsüber deutlich ruhiger zu. Die Atmosphäre war aber vergleichbar. Aus meinem Fenster hat ich aber einen sehr schönen Blick auf die Berge, den diese Webcam zeigt.
Daher packte ich meine Sachen in La Puebla de Don Fadrique und fuhr durch die Berge nach Santiago de la Espada. Die Landschaft hier beeindruckt mich immer wieder. Überall wachsen wilde Kräuter wie Rosmarien und Thymian. Die Pinos sorgen für eine tolle Kulisse.

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Landschaft bei La Puebla de Don Fadrique. Rechts etwas abseits der Bildmitte der Berg La Sagra.

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Auf dem Weg nach Santiago de la Espada.

Am Abend zogen Quellwolken auf, die sich bei Einbruch der Dunkelheit zunächst aufzulösen scheinen, es aber dann da noch nicht taten. Die Temperaturen war mit 17 Grad Celsius angenehm aber die Luftfeuchte lag schon bei 74%. Der Wind kam aus Ost mit leichten Böen. Daher habe ich mich heute am alten Platz aufgestellt. Er bietet kam Schutz vor dem Wind, aber praktisch eine sehr gute Rundumsicht. Aus der Ferne höre ich das Blöken und die Glocken der Schafe, die sich - wie fast immer - in der Nähe befinden. Es wurde aber schließlich immer lauter, bis die Schafe in der einbrechenden Dunkelheit nur noch wenige Meter entfernt sind. Ich versuche Ruhe zu bewahren. Vor zwei Jahren hatte ich das gleiche Problem. So beginnen die ersten Beobachtungen zusammen mit den Schafen an meiner Seite. Am Ende zogen die Schafe irgendwann im Laufe der Nacht weiter. Wann weiß ich am Ende gar nicht mehr. 
Gegen 23:30 war dann auch noch der Taupunkt erreicht. Der Fangspiegel hielt aber durch. Die SQM-L Werte diese Nacht waren nicht berauschend, was man dem Himmel ansah: 23:25, 23:50, 02:05 jeweils 21.46 in Zenitnähe. 03:05 21.51 sowie 04:00 21.55 und 04:45 21.6 im Pegasus Viereck. Der Himmel wurde als doch besser und die Feuchtigkeit wich. Am Ende wurde alles wieder trocken. Ich hatte die Nacht bereits gegen Mitternacht abgehakt. Das war etwas voreilig.

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Quellwolken über dem Pinar.

*''Abell 38'': Hatte ich ja schon in Bonilla versucht. Leider auch diesmal ohne Erfolg. Abell 38 sollte mich nun die folgenden Nächte immer wieder beschäftigen.
*''NGC 6337'': Verwechselt mit NGC 6302. Zartes Glimmen um einen Stern. Form kreisrund.
*''NGC 6302'': Geht leider unter. Daher nicht mehr aufgesucht und damit nicht gesehen.
*''NGC 6563'': Bei 56x kleiner kreisrunder Nebel. Keine weiteren Strukturen oder Zentralstern. Reagiert gut auf OIII Filter. Der Filter bringt aber selbst bei 180x keine weiteren Details.

Mittlerweile ist es mit 13 Grad Celsius etwas kälter geworden. Die Luftfeuchtigkeit steigt auf 90% an. Alle Autofensterscheiben sind nass. Es kommen auch immer mehr Wolken auf. Schließlich sink die Luftfeuchte und die Wolken verschwinden auch wieder. Daher beschließe ich weiter zu machen.

*''NGC 6804'': Bei 56x mit OIII sofort gefunden. Einfach in einer Sternkette angesiedelt. Bei 180x werden im Zentrum ein Stern, sowie am Nebelrand zwei weitere Sterne sichtbar. Nebel erscheint diffus aber strukturiert. Mit OIII Filter wird der Nebel deutlich kontrastreicher sichtbar. Der Zentralstern wird unsichtbar. Ein Stern am Nebelrand bleibt aber weiterhin sichtbar. Der Nebel erscheint unruhig.
*''Abell 2'': Leicht gesehen.

Anschließend ließ ich wieder etwas mehr Licht durch meine Augen strömen: Eingestellt wurden ''M31'', ''M33'', ''NGC 604'', ''NGC 891''. 

*''M52'' präsentierte sich als lockerer offener Sternhaufen. Ganz anders als im Feldstecher.

Gegen 05:15 packte ich schließlich wieder zusammen. Ich hatte bzgl. der Wolken ein Riesen Glück. Um 06:30 Uhr war ich im Bett.

!!09.08.2013 - 8. Nacht PDA bis zur Morgendämmerung

Ich bereite mich tagsüber bzgl. Abell 38 und auch 39 intensiver vor. Ich prüfe nochmal einschlägige Seiten speziell zu den Abell Nebeln u.a. die von Uwe Glahn - www.deespky-visuell.de. Insbesondere war ich mir beim Aufsuchen des Sternfeldes unsicher.
Am Beobachtungsplatz angekommen, war es absolut windstill. Die Transparenz schien mir gegenüber den vorangegangenen Tagen etwas schlechter zu sein. Es war aber mit 18 Grad und 46% Luftfeuchte angenehm. Nachdem ich aufgebaut hatte, näherte sich ein Fahrzeug. Ich ging zum Feldweg und sprach den bereits ausgestiegenen alten Mann an. Er sei Schäfer. Aha, dachte ich, der Mann gehörte zu den Schafen. Und tatsächlich. Er schaue nach seinen Tieren. Ich frage ihn warum die Tiere ohne einen Hund so gut zurecht kommen. Stimmt nicht entgegnet er, ein Hund sei stets bei den Schafen. Ich jedenfalls hatte ihn nicht bemerkt. Ich erkläre ihm, was ich hier oben tue. Kurzes Staunen und dann fuhr er auch schon weiter.

*''Venus'': Sehr klein aber mit Phase.
*''Saturn'': Wow! Knackscharf. Seeing ist Spitze!
*''Abell 38'': Diesmal eindeutig die richtige Stelle. An den anderen Tagen lag ich leider falsch. Mhhmmm... Aber nichts zu sehen. Das exakte Sternfeld gem. POSS, wie es im Deep Sky Beobachteratlas abgebildet habe ich trotzdem nicht identifizieren können.
*''Abell 39'': Ganz feiner, zarter, relativ großer runder Nebel bei 114x mit OIII Filter sichtbar. Am Nebelrand ist ein Stern zu sehen und dies trotz des Filters. Zentraler Teil erscheint blickweise immer wieder dunkler als der Nebelrand. Nebelgebiet ist aber eindeutig heller als der Himmelshintergrund. Bei 56x mit OIII Filter besser zu erkennen. Beobachtung ist insgesamt schwierig, fast schon grenzwertig.
*''M25'': Lockerer sehr heller und großer offener Sternhaufen. Sieht bei 56x sehr schön aus.
*''Pal 8'': Bei 56x bereits als runder Nebel zu erkennen. Bei 180x treten einzelne Sterne aus dem Haufen hervor. Der Kugelsternhaufen wirkt insgesamt aber noch neblig. Keine Helligkeitzunahme zum Zentrum hin.
*''NGC 6712'': Bei 56fach bereits griesig. Kleiner Kugelsternhaufen ohne Helligkeitszunahme zum Zentrum. Bei 180x vollständig aufgelöst. Erscheint nicht kreisrund sondern etwas oval.
*''M30'': Ausgefranster Kugelsternhaufen. Kern deutlich heller und mit ovaler Form. Die genaue Form des Kugelsternhaufens zu ermitteln fällt aufgrund der hellen weit abgehenden Sternkette, die wie Arme wirken, schwer auszumachen.
*''Pal 12'': Nicht gefunden.
*''M72'': Rel. lichtschwacher Kugelsternhaufen. Keine bzw. kaum erkennbare Helligkeitszunahme zum Zentrum hin. Wirkt angelöst.
*''NGC 7009'': Blaugrüner elliptischer PN. Bei 56x flächig und sehr hell. Bei 180x immer noch sehr hell. Um den Nebel wird ein schwacher Halo sichtbar. Beobachtung aber unsicher. Indirekt werden zwei abgehende gegenüberliegende strichförmige Ausläufer sichtbar, die den Nebel tatsächlich die Form von Saturn gibt, wie er insbesondere bei Betrachtung in kleinen Teleskopen sichtbar ist.
*''Abell 61'': Nicht gesehen. Unsicher bzgl. der Position.

Letztes Objekt um 05:40 Uhr ist M42 beim Aufgang über dem Wald. Alle bekannten Phänomene sind erkennbar.

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Feldweg durch den Pinienwald zum Beobachtungsplatz.

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Nach dem Wald öffnet sich das Gelände und geht zum Schluss in eine Wiese über.

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Landstraße durch die Sierra de Cazorla y Segura.

!!10.08.2013 - 9. Nacht bis zur Morgendämmerung

Dies sollte die letzte Nacht sein. Der Flieger geht in drei Tagen wieder zurück nach Deutschland. Daher geht es morgen zurück nach Madrid. Heute gibt es etwas mehr Wind. Wie die letzten Tage kommt er wieder aus östlicher Richtung mit Böen. Temperaturen diese Nacht sind sehr angenehm und liegen immer oberhalb von 15 Grad bei etwa 40-50% Luftfeuchte. Auch das Seeing ist gut. Die SQM-L Werte lagen zwischen 21.55 und 21.6.
Venus: Heute bei 180x. Wie gestern schon zu erkennen hat die Venus eine ganz kleine Phase.
Mond: Interessant. Leider sind die Oberflächenkonturen während der hellen Dämmerung noch nicht so kontrastreich zu sehen.

*''Saturn'': Sieht wieder super aus.
Als Abschied wollte ich heute nochmal viele Standardobjekte anschauen. Daher machte ich wieder eine Tour durch die südliche Sommermilchstraße: ''M4'', ''M8'', ''M20'', ''M6 und M7''. Nochmal den ''"Tintenklecks"''. 

Am Ende entschloss ich mich nochmal Abell 61 zu versuchen, den ich am Vortag leider nicht gesehen hatte.

*''Abell 61'': Sternfeld zweifelsfrei identifiziert. Leider keine Übereinstimmung mit dem POSS-Bild gefunden. Mit OIII Filter weder bei 56x (AP 5.6mm) noch bei 114x (AP 3mm). Bin sauer.
*''Jones 1'': Habe ich nur eingestellt um zu schauen, ob ich überhaupt noch was erkenne. Ja tue ich, denn der Kopfhörer wird schwach aber leicht sichtbar bei 56x mit OIII. Form wie ein Kopfhörer. Helligkeitsunterschiede erkennbar.

Der Atlas sagt zu Abell 61, dass er schon im mittlerem Instrument, d.h. 8-10 Zoll erkennbar sei. Jones 1 konnte ich im 10 Zöller wenn auch schwer unter etwas schlechterem Himmel aber erkennen. So sollte Abell 61 auch gehen. Nochmal Abell 61.

*''Abell 61'': An der richtigen Stelle taucht jetzt ein runder sehr schwacher Nebel ohne irgendwelche Strukturen auf. Absolut an der Wahrnehmungsgrenze. Kann aber indirekt sicher gehalten werden. Im Nebelgebiet sind keine Sterne sichtbar, so dass eine Überstrahlung durch einen Stern ausgeschlossen werden kann. Deutlich kleiner als Jones 1. Am Nebelrand rel. heller Stern sichtbar. Nach notieren dieser Zeilen, nochmal geschaut. Eindeutig, wenn auch sehr schwierig. Wie man dies bei 8-10 Zoll sehen soll, ist mir ein Rätsel. Aber vielleicht ist dies auch ein Fehler im Atlas.
Gegen drei Uhr dann ein kurzer Schreck. Die Lichter eines Wagens nähern sich. Da scheint jemand über den Feldweg zu kommen. Zum Glück hält er an und dreht wieder ab. Der Wagen geistert noch bis zum Morgengrauen im angrenzenden Wald umher. Ich denke, dass dies der Schäfer ist. Er sucht seine Tiere. Er hat sie wohl am späten Abend doch nicht mehr finden können. Nachts habe ich bisher nur den Wächter in der Feuerwache täglich um Mitternacht durch den Wald nach Hause fahren sehen.

*''NGC 7662'': "Blauer Schneeball": Tatsächlich heller, blauer, runder Nebelball. Bei 180x zeigt sich ein schwacher Halo ? Sonst keine Strukturen.

*''HCG 99'': Vier Gx sehr schwach sichtbar. Eine deutlich heller als der Rest mit Helligkeitszunahme zum Zentrum hin. Bin mir bei 114x zunächst unsicher, ob es sich nicht doch um schwache Sterne handelt. Daher auch mit 180x beobachtet. Bei 180x wird klar, dass es sich nicht um Sterne sondern schwache flächige Objekte handelt. Sind angeordnet wie ein großes T. In der Mitte des oberen Balken ist die hellste Galaxie zu finden.
Kommentar: Hhmm, hier habe ich mich offensichtlich vertan. Erstens ist doch ein Stern im Feld lt. den Fotos zu finden und zwar auch noch nahe am Rand einer Galaxie. Darüber hinaus sind die Galaxien rechtwinklich und nicht T-förmig angeordnet.

Ich bin zufrieden. Doch noch schöne und auch schwierige Objekte beobachtet. Jetzt gibt es nochmal eine Abschiedstour zu M31, M33, M110 sowie den Plejaden. Kurz vor Beginn der Dämmerung beobachte ich nochmal ausgiebig das Zodiakallicht im Osten, dass bis zu den Plejaden reicht. Von dort ist die Lichtbrücke ganz schwach sichtbar und verläuft weiter bis zum Gegenschein, der zwar jetzt vor dem Untergang nicht mehr zu erkennen ist, aber vor ein paar Stunden im Sternbild Steinbock-Wassermann schwach zu erkennen war.

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Dieser Beobachtungsplatz wird langsam definitiv zu einem meiner Lieblingsplätze. Er ist definitiv auf Augenhöhe mit La Palma. Die wichtigsten sichtbaren Phänomene wie Lichtbrücke, Gegenschein und Airglow sind vergleichbar gut zu erkennen. Das wurde auch durch die SQM-L Messungen bestätigt.
Am nächsten Tag ging es geschwind zurück nach Madrid. Aber zunächst musste ich nochmal die Sierra durchquere um zurück nach La Puebla de Don Fadrique zu kommen. Ich konnte es natürlich nicht lassen und habe nochmal Kräuter gesammelt und ein paar Schnappschüsse gemacht. Ich werde wieder kommen!

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Dieses Jahr ging es, anstatt wie sonst im September, im Oktober nach La Palma. Grund war der ungünstige Neumondtermin, der eine Anreise u.U. bereits im August nötig machte. Darüber hinaus hatte ich ja im August bereits ausgiebig den Sommerhimmel über dem Pinar de Araceli beobachtet. Deshalb beschloss ich dieses Jahr etwas später zu fahren. Der Flug ging gegen Mittag ab Frankfurt ab, so dass ich die erste Nacht nach der Ankunft bereits als für Beobachtungen einplante. Zwar war Regenwetter vorhergesagt, aber wer La Palma kennt, weiss, dass dies nicht unbedingt für alle Orte der Insel gleichermaßen gilt.

!1. Nacht - 02.10.2013 - La Podona (Las Tricias) von 21.00 bis ca. 23:00 Uhr

Auf dem Weg zur Podona regnete es kräftig. Dort angekommen, sah ich kaum noch eine Chance auf eine klare Nacht. Aber bereits vor ein paar Jahren zu Zeiten der Astrofotografie habe ich erlebt, wie es einen kompletten Tag kräftig regnete und dann pünktlich nach Sonnenuntergang aufklarte und die ganze Nacht - abgesehen von der hohen Luftfeuchte - sehr gute Beobachtungsbedingungen gab. Dies sollte diese Nacht aber nicht so sein. Gegen 21:00 Uhr klarte es zwar auf und mit bloßem Auge schien der Himmel auch Ok zu sein, aber obwohl keine Wolken unmittelbar zu sehen waren, fiel hin und wieder Nieselregen. An einen Aufbau des Teleskops war somit nicht zu denken. So blieb es zunächst bei Beobachtungen mit bloßem Auge und später dann auch mit dem Fernglas. Gegen 23.00 Uhr überkam mich auch eine Müdigkeit...und pünktlich zog der Himmel auch wieder zu. So wurde erstmal geschlafen und die Beobachtung in der Hoffung auf besseres Wetter auf den nächsten Tag verschoben.

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Der erste Morgen in der Podona

Bevor die Sonne über dem Bergkamm aufging, war es noch bewölkt. Anschließend riss die Wolkendecke auf und gab einen blauen Himmel frei, den man so vielleicht nur auf La Palma findet.


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Blick von Osten nach Westen. An der Podona kann man auch beobachten. Der Blick nach Süden ist frei.

Der Wetterbericht kündigte für die nächsten Tage ein Hoch über den Azoren an, so dass die kommenden Nächte zumindest die Chancen für Beobachtungen gut standen. Deshalb beschloss ich auch den Tag am Strand zu verbringen und dann einen neuen Beobachtungsplatz zu erkunden. Ich hatte mir vorgenommen einen mir unbekannten Platz oberhalb von Puntagorda, zu besuchen.

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[[Llanos de las Animas & Wassertank]]. Hier verläuft eine der Feuerschneisen. Daher ist auch ein Weg bis hierher ausgebaut. Sehr steiler Weg. Blick nach Osten wg. Berg stark eingeschränkt (Im Rücken und daher hier nicht sichtbar).

So verbrachte ich den Vormittag mit dem Sichten und ordnen der Ausrüstung. Dabei stellte ich fest, dass meine Wetterstation leider die Reise im Koffer nicht überlebt hat. Die restliche Zeit verbrachte ich am Strand mit Schwimmen, einem leckeren Essen und fuhr anschließend zurück und erkundete den Platz. Als ich ihn sah, war mir sofort klar, dass dies kein idealer Beobachtung Ort für mich ist. Die Sicht nach Osten ist durch einen Bergkamm relativ stark eingeschränkt. D.h. für mich: Weiter auf den Roque fahren! Leider hatte ich mich mit der Zeit ein wenig verschätzt denn am Ende kam ich nicht mehr pünktlich zum Sonnenuntergang an. Stattdessen ging die Sonne während der Fahrt auf den Gipfel unter. Angekommen, habe ich geschwind aufgebaut. Eine Viertelstunde nach Einbruch der astronomischen Dämmerung war ich dann beobachtungsbereit.

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Sonnenuntergang auf dem Weg zum Beobachtungsplatz.

!2. Nacht - 3. Oktober 2013 - Roque de los Muchachos von 21:30 bis 06:30 Uhr

Es war klar aber feucht. Kein Wind.

*Abell 2: Mit OIII einfach sichtbar. Ohne Filter indirekt auch sehr einfach, obwohl noch relativ tief stehend. Mittlerweile ein Klassiker für mich, den ich mittlerweile vor neuen Abell's zur Einstimmung und "Gewöhnung" an die lichtschwachen Nebel einstelle.
*Abell 43: indirekt leicht bei 114 fach mit OIII-Filter erkennbar. Kreisrunder diffuser Nebel. Im Zentrum taucht selbst mit Filter immer wieder blickweise ein Stern auf, wobei dann den Nebel verschwindet. Ohne Filter ebenfalls einfach zu sehen. Der Zentralstern ist zu sehen und ein weiterer etwa gleich heller Stern am Nebelrand. Keine weiteren Strukturen erkennbar. Bei längerem Beobachten taucht sogar ein dritter Stern, wie auf der POSS-Karte abgebildet, auf. Auch bei 180 fach und OIII-Filter sind die drei Sterne im Nebel blickweise immer wieder zu sehen. Auch bei dieser Vergrößerung zeigen sich keine weiteren Strukturen.
*IC 4665: sehr lockerer Sternhaufen. Bei 65 fach geht der Haufencharakter fast verloren. Sehr helle Sterne. Bereits mit bloßem Auge als schwacher Nebelfleck sichtbar.
*UGC 11093: Sternfeld gemäß POSS-Karte zweifelsfrei identifiziert. Die Galaxie ist lang gestreckt. Kaum merkliche Helligkeitszunahme zum Zentrum hin. Heller Stern nahe dem Zentrum.

Gegen 23:15 Uhr frischt der Wind aus Südwest leicht auf. Der Gegenschein ist in den Fischen auffällig sichtbar.

*Abell 70: Bei 114 fach und OIII-Filter zeigt sich ein kleiner runder relativ heller Nebel. Ohne Filter ebenfalls schwach sichtbar. Am Rand ist eine helle Verdichtung immer wieder indirekt sichtbar. Das muss die Galaxie sein. Beim Okularwechsel dann das Objekt leider wieder verloren.

Die Himmelsqualität nimmt weiter zu. Der Gegenschein ist jetzt auffällig sichtbar. Die Lichtbrücke ebenfalls, wenn auch deutlich schwächer. Sehr eindrucksvoll. Zwischendurch habe ich immer wieder mit der Luftfeuchtigkeit zu kämpfen. Einmal zieht eine Wolke an mir vorbei und hinterlässt das Teleskop samt Okular und Fangspiegel quatschnass. Das Okular und der Fangspiegel müssen nun mit bloßen Händen wieder aufgewärmt werden, um sie von der Nässe zu befreien. Es ist mit +3° Celsius relativ kalt, so dass mir das Auftauen der Geräte etwas schwer fällt. Aber zu guter letzt gelingt es und die Beobachtung kann weitergehen.

*IC 59 und 63: geisterhafte Aufhellung bei 140 fach. IC 63 ist eindeutig heller und hat relativ gut definierte Nebelkante. IC 59 ist deutlich größer und diffuser. IC 63 ist v-förmig. Am besten bei 140 fach und 3 mm AP beobachtbar.
*Abell 3: nach langer Sucherei das richtige Sternfeld gefunden. Aber nichts zu sehen.
*Abell 4: kleiner runder Nebel. Bei 114 fach und OIII-Filter recht einfach zu sehen. Keine Strukturen erkennbar. Bildet mit zwei Sternen ein gleichseitiges Dreieck.
*NGC 891: kein Kommentar.
Abell 347: großer Galaxienhaufen. Auf Anhieb zwei Galaxien gesehen. Bin aber zu fertig um hier noch intensiver zu schauen.

Am Ende ein paar Standard Objekte: Rosettennebel und Jupiter.

Um 6:23 Uhr Abbau um circa 7:00 Uhr bin ich im Bett. Am Ende ist alles wieder trocken, die Luftfeuchtigkeit ist deutlich zurückgegangen. Es ist aber mit +3° relativ kalt. Unterhalb der Residencia beschlagen kurzfristig die Scheiben von außen, d.h. unterhalb des Gipfels sind noch nicht alle Wolken abgezogen.

SQM-L Werte: 21:45 Uhr 21.34 PV (Pegasus Viereck), 00:00 21.52 Z (Zenit), 0:45 21.55.

!3. Nacht - 4. Oktober 2013 - RDLM von 21:15 Uhr bis 5:30 Uhr

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Sonnenuntergang auf dem Roque. Nahe der Bildmitte ist das TNG-Teleskop zu erkennen.

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Sonnenuntergang auf dem Roque. In der Bildmitte der Gipfelschatten.

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Aufgang des Erdschattens.

Dämmerung im Nordwesten.

Kein Wind und angenehm trocken. Die Insel ist mit Wolken bedeckt. Perfekte Bedingungen.

*Nachschau Abell 70: wie gestern auch sofort bei 114 fach und OIII-Filter gesehen. Heute aber intensivere Beobachtung ohne Filter: Bei 114 fach sind blickweise zwei Sterne im beziehungsweise am Rand des Nebels sichtbar. Bei 180 fach dann die Überraschung: nur einer der beiden liegt auf dem Nebelrand. Ihm direkt gegenüber liegt ein anderer der eindeutig außerhalb des Nebels liegt. Er ist etwa zwei Nebeldurchmesser vom Zentrum des Nebels entfernt. Darüber hinaus taucht ein weiterer Stern auf. Zusammen bilden Sie ein schiefes Dreieck. Um die Vergrößerung noch mal zu steigern, kommt das ultimative Pentax O-7 mm zum Einsatz. Es erzeugt eine Vergrößerung von 230 fach und erstaunlicherweise wird das Bild trotz der höheren Vergrößerung deutlich heller. Das zum Thema "vielen Linsen in den modernen WW-Okularen schlucken dank den 'Supervergütungen' kaum noch Licht". Weitere schwache Sterne tauchen Blickweise auf. Die Galaxie ist jetzt auch immer wieder eindeutig als flächenhaftes Objekt auf dem Nebelrand erkennbar. Die Sterne hingegen sind eindeutig punktförmig. Im und auf dem Ring können abgesehen von der Galaxie keine weiteren Strukturen ausgemacht werden.
*Pal 11: bildet mit hellen Stern und schwächerem Doppelstern ein gleichzeitiges Dreieck. Schwaches glimmen. Keine Einzelsterne. Indirekt sicher zu halten. Beobachtung bei 114 fach.
*NGC 6814: fast kreisrunde relativ große Galaxie mit sternartigem hellen Zentrum.
*Abell 82: schwaches glimmen um einen Stern. Bei 56 fach und OIII-Filter relativ groß und rund. Zwei Sterne trotz Filter im Nebel sichtbar. Bei 114 fach keine Strukturen sichtbar. Nebel ist sogar ohne Filter schwach zu sehen.
*Abell 79: nichts gesehen, trotz offensichtlich richtiger Stelle.
*Abell 12: am besten bei 180 fach sichtbar. Dann tritt ein relativ kleiner aber heller Nebel am Rand des Halos von µ-Orionis hervor.
*Zwischendurch schau ich mir immer wieder Standardobjekte wie IC 1805 sowie den Embryonebel und den Flammennebel an.
*Abell 426: riesiger Galaxien Cluster. Viele kleine Galaxien verstreut auf riesigem Feld. Am Anfang wegen des reichen Sternenfelds kaum auffällig.
*Zum Schluss: M33. Wunderbar. Bei 114 fach sind 2-3 Spiralarme direkt sichtbar. An einem Ende ist NGC 604 deutlich zu erkennen.

Gegen circa 5:30 Uhr beginne ich mit dem Abbau. Der Himmel war laut SQM-L nicht gut. Das bestätigen auch die Messungen des WHT. Gegen 6:30 Uhr bin ich schließlich im Bett.
Jeden Tag bin ich bereits vor Sonnenuntergang am Roque, um die stimmungsvollen Sonnenuntergänge festzuhalten. Zeitweise kommt wieder richtiges Fotografiefieber, wie zu guten alten Zeiten auf ;)

SQM-L Werte: 23:30 Uhr 21.48 Z, 01:00 21.52 Z (Zenit).

!4. Nacht - 5. Oktober - RDLM von 21:00 Uhr bis 05:00 Uhr

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Sonnenuntergang auf dem Roque. Am rechten Bildrand ist das TNG-Teleskop zu sehen.

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Sonnenuntergang auf dem Roque. Am rechten Bildrand ist das Isaac Newton Telescope (INT) zu sehen.

Ich hielt heute mal am Mirador de los Andenes und kraxelte darauf, um ein paar Fotos zu machen. Der Weg hinauf führt bis zu den Teleskopen. Herrliche Aussicht! Die Sonne ging unter und Erdschatten auf. Im Dunkeln machte ich mich auf dem Rückweg. Zum Glück kam ich da wieder heil hinunter. Ich fuhr zum Beobachtungsplatz und musste feststellen, dass dort ein böiger Südwestwind wehte, der mich zwang einen anderen Platz aufzusuchen. So beschloss ich den alten Beobachtung Platz wieder aufzusuchen, da ich mich hinter den Felsen verstecken konnte. Dort angekommen stand leider schon ein Wagen. Gegenüber war eine Montierung aufgebaut und eine Digitalkamera montiert. Bald endeckte ich einen Mann mit einer Kopflampe, der mich mit Weißlicht anstrahlte. Er sei Belgier, erklärt er auf Englisch. Wir babbeln ein wenig und nach einer gewissen Zeit stelle ich fest, dass auf einem Stuhl im Hintergrund eine weitere Person sitzt, d.h. hier sind zwei Astrofotografen am Werk. Ich baue schließlich eine Kurve weiter auf. Endlich ebenen Boden ohne loses Geröll! In Rekordzeit stand auch das Teleskop. Geschätzte 15 Minuten habe ich gebraucht inklusive Kollimation. Dann war ich bereit, aber schließlich fährt langsam ein Wagen heran und versucht dann zu wenden. Nachdem der Wagen mit dem kompletten Unterboden aufsetzte und ein fürchterliches Geräusch dabei machte, bekam ich einen Schreck und schaute mir die Szenerie an. Der Unterboden ächzte mehrere Male (Ohhh, Mann!) dann war er wieder frei. Man gut, dass niemand ausgestiegen ist und gekuckt hat. So war nach ein paar Minuten der Spuk vorbei und nach einer halben Ewigkeit war das Auto wieder weg und meine Dunkeladaption erstmal auch.

*NGC 7000: wunderbar. Nördlich Barnard 350. Wie ein Loch in der Milchstraße. Typischer Dunkelnebel. Eingerahmt durch zwei Sterne. Nebenan verschiedene weitere Dunkelnebel, die lt. Triatlas LDN's sind.
*NGC 7026 "Cheeseburgernebel": bei 180 fach heller kleiner Nebel direkt neben hellen Stern. Bei 420 fach wird der Nebel in zwei Hälften geteilt und eine bipolare Struktur wird sichtbar. Immer noch sehr hell. Sieht wirklich wie ein "Burger" aus.
*NGC 6826: bei 180 fach kleiner runder Grüner Nebel mit hellem Zentralstern. Bei 420 fach wird im Inneren eine Schale andeutungsweise sichtbar. Beobachtung leider unsicher. Mit OIII-Filter wird tatsächlich eine weitere schwache Nebelschale im Außenbereich sichtbar.
*Abell 79: auch heute nicht gesehen.
*NGC 55: erst verwechselt mit "Silver Dollar". Dachte schon die Beobachtungsbedingungen sind nicht so toll. Aber nach ewiger Sucherei nach den Sternbildern, hat sich das Ganze ausgelöst. Ähnlich groß und ähnliche Form wie der "Silver Dollar“. Ein Teil der Galaxie ist deutlich heller. Dieser helle Teil ist strukturiert und hat auch einen hellen Kern mit einem sternförmigen Zentrum. Zur anderen Seite diffus und schwach auslaufend. Im helleren Teile sind mehrere Lichtknoten enthalten. Zunächst ist unklar ob es sich um Vordergrundsterne handelt. Nach längerem beobachten sind die Lichtknoten eindeutig flächig. Es sind etwa vier insgesamt. Über der Mitte aber außerhalb der Galaxie steht prominent ein Vordergrundstern.
*NGC 289: kleine runde Galaxie ohne merkliche Helligkeitszunahme zum Zentrum hin. Daneben ein schwacher Stern. Beobachtung bei 114 fach.
*NGC 254: deutlich kleiner aber mit hellem sternartigen Zentrum. Spindelförmig und etwas schwächer als NGC 289.
*MCG 06-03-15: nicht gesehen.
*NGC 613: spindelförmige Galaxie mit hellem Zentrum.
*NGC 578: relativ große und diffuse schwacher Galaxie mit kaum wahrnehmbar Helligkeitszunahme zum Zentrum hin.
*HCG 4: eingerahmt von zwei Feldsternen zeigt sich eine kleine runde Galaxie mit Helligkeitszunahme zum Zentrum hin. Blickweise erscheint eine weitere. Beobachtung unsicher. Zweite daher gewertet als nicht gesehen.

Der Wind nimmt stetig zu. Die Windböen ließen kaum noch ernsthafte Beobachtungen zu. Deshalb beschloss ich gegen 5:00 Uhr abzubauen. Als alles verstaut war, wollte ich mich von den Belgiern verabschieden. Die waren aber im Auto und ich wollte nicht unnötig stören. Als ich mit Standlicht vorbeifuhr, waren sie wieder auf den Beinen. Etwas weiter traf ich auf ein Auto mit weißer heller Festbeleuchtung, wobei aber keine Person in der Nähe zu sehen war.

SQM-L Werte: 21:30 Uhr 21.30 Z, 01:26 21.50 Z (Zenit).

!5. Nacht - 6.10.2013 - RDLM von 21:00 Uhr bis 6:35 Uhr

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Die Magic Teleskope.

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Vor Sonnenuntergang auf dem Roque. Am Horizont ist die Insel Teneriffa zu erkennen.

Wind mit Böen aus unterschiedlichen Richtungen. Relativ warm. Unterhalb der Degollada aufgebaut.

*Abell 63: nicht gesehen!
*Abell 57: ebenfalls nicht gesehen. Keine Lust in Triatlas nachzuschauen. Frust!
*M 27: am besten ohne Filter im 9 Okular.
*M 57: toll!
*Sh2-101: zufällig beim Aufsuchen von NGC 6881 gefunden. Großer schwacher Nebel, der mit UHC-Filter sichtbar ist. Ursächlich scheinen zwei hellere Sterne in der Nebelregion zu sein, die aber etwas abseits der Mitte liegen.

Der Gegenschein ist heute noch besser sichtbar.

*NGC 7635 „Bubble Nebel“ mit UHC: kein Kommentar.
*Sh2-157: relativ großer diffuser Nebelbogen bei 56 fach und UHC-Filter.
*Sh2-188: Kleiner als 157 und schwächer. Mit UHC-Filter kaum zu sehen. Besser mit OIII-Filter. 5-6 Sterne sind im Nebelbogen mit OIII-Filter sichtbar.
*NGC 247: schwache große zigarrenförmige Galaxie mit leichter Helligkeitszunahme zum Zentrum hin. Sogar schon im 10 × 50 Fernglas zu sehen und zwar recht einfach. Direkt nebenan, d.h. im selben Gesichtsfeld ist auch NGC 253 "Silver Dollar“ sichtbar. Letztere ist im Vergleich ein Scheinwerfer. Upss: Korrektur! Da war wohl die Heckklappe im Weg. Galaxie ist jetzt besser sichtbar. Helligkeitszunahme zum Zentrum jetzt deutlicher erkennbar. Wirkt insgesamt fleckig. Zentrum etwas abseits der Mitte? Heller Stern am Rand.
*HCG 99 hatte ich vor ca. 8 Wochen ebenfalls beobachtet, allerdings mit mäßigem Erfolg. HCG 99: Schwierig! Eine Komponente recht leicht zu sehen. Hat sternartiges Zentrum. Zunächst etwas unsicher, ob richtig eingestellt. Dann fällt eine runde Galaxie mit sternartigen Zentrum bei 114 fach auf. Die andere wird dann mit 180 fach neben einem Stern als längliche spindelförmige Galaxie sichtbar. Neben der runden Galaxie ist direkt daneben eine weitere runde Galaxie zu sehen. Insgesamt also drei Galaxien. Schwer!
*NGC 1491: dreieckiger Nebel an dessen Spitze ein Stern steht. Basis heller. Zur Spitze diffus auslaufen. Parallel zur Basis verläuft ein dunkles Band.
*Verschiedene Objekte: IC 443, "Flaming Star", Rosettennebel, Jupiter.
*Abell 10: überraschend einfach. Genau wie im Atlas beschrieben. Bei 180 fach und UHC-Filter sofort gesehen. Einfach aufzufinden. Kleiner runder Nebel. Typischer Abell, wenn auch recht klein. Kein Zentralstern. Ohne Filter auch zu sehen.
*Abell 20: kleiner runder Nebel. Ist größer als Abell 10 aber viel schwächer. Rund und diffus. Im Nebelgebiet zwei schwache Sterne mit OIII-Filter sichtbar.
6:35 Uhr Jupiter. Ende! Um 8:00 Uhr bin ich im Bett.

SQM-L Werte: 0:30 Uhr 21.69 Z, 02:18 21.66 Z (Zenit), 03:00 21.63 Z, 04:15 21.53 Z.

!6. Nacht - 7. Oktober - RDLM von 21:00 Uhr bis 5:17 Uhr

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An der Wolkengrenze

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Straße zum Roque knapp unterhalb der Baumgrenze

Nahezu windstill beziehungsweise ganz leichter Wind aus West. Lieblingsplatz an der Leitplanke ist belegt. Relativ warm. Mond stört zu Beginn ein wenig.
*NGC 281 ist trotz Mondlicht (Mond geht schon unter) im Fernglas leicht zu sehen, und das obwohl die Cassiopeia weit von der Kulmination entfernt ist.

*M33 steht auch gerade 10-20° über dem Horizont und bereits indirekt mit bloßem Auge sichtbar.
*Abell 72: einfach aufzufinden. Direkt neben hellen Stern. Deshalb auch zunächst an einen Überstrahlungseffekt geglaubt. Beim genauen Hinschauen fällt aber ein großer heller runder Nebel ohne Struktur auf. Sehr leichter Abell. Wunderschön! Vier weitere Sterne im Nebel und hauptsächlich am Rand sichtbar. Ohne Filter auch ganz schwach zu sehen. Besser im 9 mm, d.h. bei 180 fach, da Kontrast besser. Beobachtung ohne Filter bleibt trotzdem schwierig, da im reichen Milchstraßenfeld. Im Nebel tauchen weitere 3-4 schwache Sterne auf, insbesondere einer in der Mitte.

In wilder Fahrt kommt ein Kleinbus vorbei, wendet und fährt mit Festbeleuchtung wieder in meine Richtung und hält fast neben mir. Ich dachte, was ist denn das und rief verärgert, dass das Licht ausgemacht werden solle. Dann fuhr der Kleinbus weiter in Richtung meines Stammplatzes, wo ja bereits auch ein Kollege beobachtete. Anschließend beruhigte sich die Szenerie und aus der Ferne sah ich, dass mit weißem Licht herum gefuchtelt wurde, was mich allerdings wg. des großen Abstandes nicht störte. Anschließend taucht zu meiner Beunruhigung ein großer Vogel, den ich beim Positionieren über die Augenwinkel wahrnehme, über mir auf und dreht seine Kreise. Bin ich hier etwa im falschen Film? Ich stoße Zischlaute aus und tatsächlich der Vogel verschwindet schließlich. Nebenan wird wild geschrieen. Irgendwelche Verrückte also. Was mich stutzig macht, ist die Tatsache, dass sie um 1:00 Uhr immer noch da sind. Was soll's. Ich konzentriere mich weiter auf meine Beobachtung. Weiter geht's.

*Abell 71: großer runder, extrem schwer zu fassender Nebel. Jetzt endlich mit OIII und bei 56 facher Vergrößerung bei maximaler AP gefunden. Nebelgebiet ist tatsächlich dort, wo ich ihn die letzten Tage aufgesucht hatte. Durchbruch war letztendlich das Verständnis der POSS-Karte und sehr lange intensive Beobachtung. Darüber hinaus hat mir in den Tagen zuvor die Triatlas App das Aufsuchen im Zielgebiet deutlich erleichtert. Ausschluss von Fehlinterpretationen durch Beobachtung an anderen etwa gleich hellen Vergleichssternen. Super schwer! Über 1 Stunde intensiver Beobachtung. SQM-L Wert im Zenit 21.66. Mit den POSS-Karten komme ich aufgrund des sehr kleinen Ausschnitts nicht so gut zurecht. Die Triatlas App auf dem IPod hat mir wirklich geholfen die genaue Position des Nebels zu bestimmen. Insbesondere die Tatsache, dass so auch alternative Starhopping Wege zu vielen schwachen Nebeln möglich sind, um auszuschließen, dass man am falschen Ort beobachtet.
*M39 und Cocoon Nebel: kein Kommentar.
*Blanco 1: nur was für den Feldstecher. Großer offener Sternhaufen mit wenigen Sternen über mehr als 5° verstreut. V-förmig.
*NGC 7793: relativ große Galaxie in Draufsicht. Diffus mit Helligkeitszuname zum Zentrum hin. Bei längerer Beobachtung wirkt sie gemottelt. Spiralarme deuten sich offenbar an.

Bisher beste Nacht! Selbst knapp über dem Horizont im Süden misst das SQM-L immer noch Werte um 21.6.

*NGC 613: spindelförmige Galaxie mit recht hellem Kern. Bei 180 fach wirkt sie tatsächlich fleckig.

Der Wind nimmt jetzt zu und kommt aus westlichen Richtungen.

*MCG 06-03-15: wieder nichts gesehen!
*NGC 578: recht große ovale Galaxie mit zentralem Bulge. Leichte kaum merkliche Helligkeitszunahme zum Zentrum hin. 180 fache Vergrößerung. Keine weiteren Strukturen.
*NGC 134: längliche recht große Galaxie. Edge On mit zentralem Bulge und hellem sternartigen Zentrum. Wird von zwei hellen Sternen flankiert. Im selben Feld taucht eine weitere schwächere und kleinere Galaxie auf. Beobachtung bei 180 fach. Im Außenbereich ist eine Struktur (Dunkelband?) erkennbar.
*HCG 11: Runde Galaxie mit sternartigem Zentrum. Weitere Galaxie ebenfalls rund aber schwer zu fassen in direkter Nähe. Beide trennt ein schwacher Stern.
*IC 426: runder recht großer Nebel um einen hellen Stern. Beobachtung mit UHC-Filter bei 56 facher Vergrößerung.
*Sh2-263: nichts zu sehen.
*NGC 2022: bei 56 facher Vergrößerung und UHC-Filter ist ein kleiner runder Nebel sichtbar, der im gleichen Gesichtsfeld liegt und daher erst beim zweiten Blick auffällt. Bei 180 facher Vergrößerung zeigt sich ein ganz kleiner heller Ring. Kein Zentralstern bei 180 fach ohne Filter sichtbar. Mehr vergrößern mag ich jetzt auch nicht mehr.
*Abell 20: bei 114 facher Vergrößerung und OIII-Filter direkt gefunden. Riesiger auffälliger sichelförmiger Nebelbogen, der im Innern schwer zu fassende schwache Strukturen zeigt. Bei 56 facher Vergrößerung und UHC-Filter hell. Am besten mit  OIII-Filter bei 114 facher Vergrößerung zu sehen. An einem Ende der Sichel hellerer dreieckiger Nebelteil zu erkennen. Im Inneren eindeutig dunkler und mit weiteren unklaren Strukturen.

Der Himmel bricht weiter ein. Luftfeuchte scheint zu steigen, da Folien beim Berühren keine Funken mehr schlagen. Es riecht auch ein bisschen nach Wolke. 5:17 Uhr: der Löwe geht auf. Alles abgebaut. Jetzt noch einen Tee und ein paar leckere Plätzchen. Dann geht es nach Hause.

SQM-L Werte: 22:30 Uhr 21.60 PV, 01:00 21.66 Z (Zenit), 02:17 21.67 PV, 02:20 21.60 (Sculptor Gx), 03:46 21.52 Z, 4:50 21.45 Z.

!7. Nacht - 8. Oktober - RDLM von 21:00 Uhr bis 3:00 Uhr

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Meine schöne Unterkunft.

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Übergang zur Baumgrenze.

Dies soll heute die letzte Nacht sein. Morgen geht's mit dem Flieger wieder Richtung Heimat. Der Mond stört heute deutlicher. Es ist angenehm warm. Um die +13-15° Grad. Wind aus Nordost, wie gestern nur schwächer. Warte den Monduntergang ab.

*PK 56 + 14.1: nichts. Leider! War als Einstimmung für Abell 46 gedacht.
*Abell 46: klein rund und diffus. In der Mitte ist ein Zentralstern zu sehen und das trotz des OIII-Filters bei 114 facher Vergrößerung. Nebel ist ohne Filter bei 114 facher Vergrößerung ganz schwach zu erkennen. Sogar bei 180 facher Vergrößerung (AP 2 mm), wenn auch deutlich schwieriger.
*Nochmal PK 56 + 14.1: leider wieder nichts.
*Es folgen Standardobjekte die am M15 und M30. M15 ist mit bloßem Auge leicht zu erkennen.
*NGC 246: Großer Nebel. Im Nebelgebiet sind einige recht helle Sterne zu finden. Inneres stellenweise dunkler. Insgesamt etwa drei Dunkelstellen erkennbar. Zentralstern sichtbar. Der Nebel ist stark strukturiert. Wow! Bei längerer Beobachtung fällt auf, dass der Nebel tatsächlich oval ist. Beobachtung bei 180 facher Vergrößerung ohne Filter. Die Galaxie NGC 255 befindet sich in unmittelbarer Nähe. Kreisrund mit kaum zunehmbarer Helligkeit zum Zentrum hin. Bei 114 facher Vergrößerung und UHC-Filter kommen die Strukturen bei NGC 246 noch besser raus. Schönster Anblick aber bei 180 fach ohne Filter.
*NGC 210: kleine ovale Galaxie mit recht hellem Zentrum.
*NGC 357: ovale Galaxie mit sternförmigem Zentrum. Zwei Vordergrundsterne im Galaxiengebiet.
*New 1: ganz in der Nähe. Große runde Galaxie mit leicht ovalem Zentrum. Nur sehr leichte Helligkeitszunahme zum Zentrum hin. Sieht fast wie ein sehr heller Abell aus.
*Letztes Objekt am M42. 

3:00 Uhr Abbau.

SQM-L Werte: 22:30 Uhr 21.37 PV, 23:00 21.58 PV, 2:47 21.60 Z.

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Aussicht vom JKT. Licht aus!

Ein traumhafter Astrourlaub!

Bis zuletzt habe ich gezögert, da die Flugpreise jenseits von Gut und Böse lagen. Dann entschied ich mich doch gegen einen guten Teil des deutschen Winters und düste drei Wochen runter. 
Im Januar und im August war ich bereits hier und habe insgesamt fünf Nächte unter traumhaft gutem Himmel beobachten können. Diesmal sollte ich nicht soviel Glück haben. 

Als erstes ging es nach Madrid zu Verwandten. Mit dem Auto dann wenige Tage später weiter nach Valencia. Angekündigt war übrigens zwei Wochen lang Regenwetter. 
Allerdings sorgte am 28. und 29. Dezember ein Zwischenhoch für klare Sicht. Am 05.01. ergab sich erneut eine Möglichkeit. 
Danach zog es wieder zu. Wie immer stand ich vor zwei alternativen Beobachtungsplätzen: Bonilla oder der Pinar de Araceli. 
In der Regel sind die Bedingungen für gutes Wetter in Bonilla deutlich besser. Dies liegt an der speziellen Lage im Hochland von Zentralspanien. 
Hier ist die Wahrscheinlichkeit auf klaren Himmel in der Regel am höchsten, denn der Pinar liegt deutlich höher und überragt die umliegende Landschaft und sorgt so dafür, 
dass auch die Wolkenbildung höher ist.

Ich habe als der Wetterdienst die Wolkenlücke vorhersagte ewig überlegt, wohin ich fahren sollte.
 Bonilla versprach insgesamt sogar zwei klare Nächte hintereinander zu haben, der Pinar allerdings nur eine.
 Ich hatte aber auch keine Lust die ganze Wegstrecke zurück nach Madrid zu fahren. 
Da ich Bonilla dieses Jahr im Januar bereits besucht hatte, wusste ich, dass dort nachts häufig der Taupunkt erreicht wird. 
Dies wurde von Meteoblue auch vorhergesagt. Auf ein Zutauen des Fangspiegel und auf klatschnasse Sachen hatte ich keine Lust. 
So entschied ich mich schließlich eine Nacht ausfallen zu lassen und direkt zum Pinar am folgenden Tag zu fahren. 
Am Abend prüfte ich weiterhin die Wetterbedingungen und wie so oft sollte sich das Wetter am Pinar doch früher als gedacht verbessern. 

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Anblick der Landstraße aus Richtung Murcia bzw. Valencia. Der schneebedeckte Gipfel ist der Berg Sagra mit über 2300 m üNN.

Am 29. Dezember ging es dann gegen Mittag bereits los. Da dies ein Sonntag war, gab es so gut wie kein Verkehr. 
Die Fahrt dauert länger als ich ursprünglich dachte. Schliesslich kam ich gegen drei Uhr nachmittags noch im Dorf an. Das Restaurant meines Hostals war brechend gefüllt. Trotzdem muss ich was essen und so wurde noch schnell das Mittagessen nachgeholt. Das Personal hat mich wieder erkannt und hat mich freudig begrüßt.
Gegen 16:30 Uhr ging's dann mit zusätzlichem Proviant weiter. Draußen waren bereits die schneebedeckten Gipfel der Sierra de Segura zu sehen. 
Wie weit es da heute hinauf gehen sollte und ob mein bisheriger Beobachtungsplatz zugänglich war, konnte ich zu diesem Zeitpunkt noch nicht wissen. 
Der Plan war einfach hochzufahren um zu schauen und gegebenenfalls auf einen anderen Platz auszuweichen. 
Ab etwa 1400-1500 m Höhe tauchen plötzlich vereinzelt Schneefelder am Straßenrand auf. Am Puerto de Pinar auf circa 1600 m wird fast eine geschlossene Schneedecke draus. 
Die Straße ist aber weiterhin frei und trocken. Es scheint ja sowas wie einen Winterdienst zu geben. 
Ich wollte ursprünglich bis in die maximalen Höhenlagen der Sierra fahren um noch einmal ein geringerer geniales Panorama der Aussicht zu machen. 
Offenbar schien das möglich. In Anbetracht der Zeit entschied ich mich jedoch dagegen.

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Der Beobachtungsplatz diesmal an der bekannten Viehtränke. Die Weiterfahrt war wegen Schnee nicht möglich.

Kurz vor der Abzweigung zum Beobachtungsplatz tauchen plötzlich Schafe auf der Straße auf. Durch die tief stehende Sonne sind sie nicht gerade einfach zu erkennen. Am Feldweg, der zu meinem Beobachtungsplatz führt angekommen, muss ich erkennen, dass dieser womöglich nicht befahrbar ist. Er ist schneebedeckt , aber ich versuche dennoch bis zur Viehtränke, circa 100 m entfernt, zu kommen. Die tief stehende Sonne macht es mir fast unmöglich den Weg und die Spur zu erkennen. So gerate ich in Matsch und bleibe stecken. Ich lass den Wagen zurückrollen und steige kurz aus die Lage neu einzuschätzen. Dann nehme ich noch mal Anlauf und fahre relativ leicht auf die Bergkuppe und lass den Wagen vor einem geschotterten Platz, der frei von Matsch ist, stehen. Anschließend betrachte ich den weiteren Weg und versuche mir einen Eindruck machen, ob dieser weiterhin befahrbar ist. Leider ist der Weg komplett verschneit und obwohl die Schneedecke recht griffig ist, wage ich es nicht den Weg weiter mit dem Auto zu fahren und beschließe daher hier zu bleiben. Auf dem letzten Metern war mir ein Mann zu Fuß entgegengekommen und ich öffnete das Fenster um ihn kurz zu begrüßen. Er reagierte etwas mürrisch aber grüßte schließlich zurück. Er scheint der Besitzer des Jeeps zu sein der unten am Eingang des Feldweges gepackt hatte. Ich versuche mich immer mit den Leuten hier oben gut zustellen, kurz zu sprechen, um eventuelle Probleme zu erkennen und gegebenenfalls auszuräumen. Im Sommer ist dies unbedingt notwendig, da hier die Waldbrandgefahr sehr hoch ist. So sprach ich auch vor zwei Jahren mit dem Forstverwalter, der während der Sommermonate bis um Mitternacht unweit auf einem Aussichtsturm Ausschau nach Feuer hält. Er kann mich von seinem Turm aus leicht beobachten und dürfte durchaus nachts von mir Notizen nehmen. Nachdem ich mich ihm vor zwei Jahren vorgestellt hatte und ihn um Erlaubnis gebeten habe, hat er mir versichert, dass es kein Problem geben und der Wald und auch die Wirtschaftswege für jedermann zugänglich seien. Wichtig ist, dass man nachts hier nicht raucht oder gar ein Feuer macht, denn das könnte hier neben der Gefahr einen Waldbrand auszulösen sicher zu großem Unmut führen. Ich schoss zunächst noch kurz ein Foto um den Beobachtungsplatz kurz zu dokumentieren. Kaum war ich fertig, kam der unten geparkte Wagen herauf gefahren. Der Wanderer von eben stieg aus und erklärte mir freundlich, das es keine gute Idee sei hier heute Nacht zu bleiben. 
Er gab sich als Wanderer aus und wies darauf hin, dass der Schneematsch auf dem Weg nachts zu einer Eisfläche werde und das Befahren dadurch sehr gefährlich sein. Der Schnee war relativ konsistent und griffig, etwa so wie Firn. Daher erklärte ich ihm, das ich aufpassen werde und entschied mich, hier zu bleiben. Ich hatte einen Kleinwagen mit Sommerreifen und war mir durchaus der Gefahr bewusst, aber dachte sie richtig einschätzen und bewerten zu können. Ich scherzte, und fragte ihn, ob er morgen mich im Fall der Fälle hier wieder raus holen würde. Er fand das wohl weniger witzig und erklärte mir, dass er morgen nicht hier sein werde und mir daher auch nicht helfen könne. Wir verabschieden uns schließlich und ich begann mit dem Aufbau. Der gestaltete sich recht schwierig, da die Sonne bereits untergegangen war und ich das Teleskop zum ersten Mal aufbauen musste. 
Der Aufbau geht eher schlecht vonstatten: Zuerst vergesse ich die Gummibänder richtig anzubringen und anschließend - nach der Korrektur - montiere ich den Hut auch noch falsch. Dann ist es doch irgendwann geschafft und das Teleskop steht. Jetzt ist auch dunkel genug, um mit dem Laser das Teleskop zu justieren. 

Ich wunderte mich beim Festschrauben der Stangen, dass ich eine Stange dabei hatte, die an einem Ende leicht verbogen war. Diese gehört zu einem Satz von Stangen, die für die Binobeobachtung eingesetzt wird.
Das war mir seltsamerweise beim letzten trockenen Aufbau zu Hause ebenfalls aufgefallen. Aber ich schaute nicht nach und nahm an, dass dies der 
richtige Stangensatz für die monookulare Beobachtung sei, da ich den anderen, d.h. den für das Bino, in der letzten Zeit nicht benutzt habe. 
Ein Bino habee ich natürlich auch nicht dabei, wie auch nicht die entsprechende Verlängerungshülse, die benötigt wird, um mit den "normalen" Okularen, d.h. ohne Bino, in den Fokus zu kommen.
Also mache ich erst mal weiter und hole die Okulare raus, um einen ersten Blick auf den sich mittlerweile prächtig bietenden Sternenhimmel zu werfen. 
Zuvor gönne ich mir noch kurz ein halbes Glas Heidelbeermarmelade, was mittlerweile fast zu einem Beobachtungsritual geworden ist.

Als ich das Übersichtsokular in den Okularauszug gesteckt habe und fokussierte, erschrak ich. Ich kam mit dem Okular nicht in den Fokus! Jetzt wurde mir schlagartig klar, daß ich tatsächlich den falschen Stangensatz eingepackt hatte. Wie das passieren konnte, war mir völlig unverständlich. Wie auch immer - jetzt stand ich hier und mein Herz war mir in die Hose gerutscht. Völlig fassungslos ging ich die mir sich gebotenen Möglichkeiten durch. 
Es blieb eigentlich nur eine: Die Nacht komplett nur mit dem Feldstecher beobachten! Bevor ich das Teleskop wieder abbauen wollte, versuche ich die Okulare 
- bis zum maximal möglichen - aus dem Auszug rauszuziehen. Erstaunlicherweise kam ich bei allen Okular wenn auch knapp in den Fokus. Damit war die Beobachtungsnacht gerettet. Beim Blick Richtung Westen hatte ich zuvor schon bemerkt, dass sich leichte Quellwolken bildeten. Die Luftfeuchtigkeit war entsprechend hoch. Dennoch machte mich das kaum nervös, da die Luftfeuchtigkeit gemäß verschiedenen Vorhersagen bis zum Morgen extrem fallen sollte. 
Zum Einbruch der astronomischen Dämmerung war ich schließlich zur Beobachtung bereit.

!!1. Nacht - 29.12.2013 - PDA von 19:30 bis ca. 06:00 Uhr

Der Beobachtungsplatz liegt in einer Mulde. Dadurch wurden im Süden beziehungsweise im Norden circa 5-10° durch den Horizont verdeckt. Über mir zeigte sich zunächst die Herbstmilchstraße, später die Wintermilchstraße. Das Zodiakallicht und die Lichtbrücke waren eindrucksvoll zu sehen.

Klar mit hoher Luftfeuchtigkeit. Beginn der Beobachtung um circa 19:30 Uhr. Um 19:00 Uhr Aufgang von Jupiter, und Untergang von Venus.

Erste Objekte: ''Plejaden, Hi & Chi, Abell 2'' mit und ohne Filter war gut und leicht zu erkennen.

*''Abell 3'': an der richtigen Stelle ist ein Stern mit OIII-Filter zu sehen. Immer wieder wird ein nebeliger Eindruck vorgetäuscht, der aber bei anderen Sternen ebenfalls erscheint. Sowohl bei 114 und 56 fach und OIII-Filter kann ich nichts eindeutiges erkennen.

Mittlerweile ist das Teleskop von einem Eispanzer überzogen, der für einen kurzen Moment auch den Fangspiegel hat leicht beschlagen lassen. Dieser wird von Zeit zu Zeit mit der Hand kurz aufgewärmt. Schließlich benötigt er keine weitere Unterstützung mehr, was zeigt, dass die Luftfeuchtigkeit offenbar sinkt. 
Dummerweise sind die Scheiben des Autos sowohl von außen wie auch von innen bereits vereist.

*''Abell 7'': Relativ schnell gefunden. Sternfeld zweifelsfrei identifiziert. Zunächst nichts zu sehen. Aber dann, nach mehrmaligem Schauen mit unterschiedlichen Vergrößerungen, 56 und 114 fach mit OIII-Filter den hellsten hantelförmigen Nebel Teil als geisterhafte runde, strukturlose Aufhellung indirekt mehrfach aufblitzen sehen. Nicht ständig zu halten. Galaxie MCG-3-1358 bei 114 fach ohne Filter nach relativ kurzer Beobachtung indirekt blickweise immer wieder gesehen. Linsenförmig und relativ klein. Ist einfacher zu sehen als der Nebel selbst. Bin etwas überrascht über diese Tatsache. Vom restlichen riesigen Nebelgebiet konnte ich nichts weiter erkennen.

Hier mache ich meine erste Beobachtungspause und schlüpfe auch in meine Winterstiefel, da die Joggingschuhe jetzt doch etwas kalt werden. 
Ich habe insbesondere beim letzten Objekt mit der Augenklappe und dem Beobachtungsstuhl gearbeitet. So habe ich das linke Auge, mit dem ich üblicherweise nicht beobachte, 
die Sternkarten gelesen und so dem rechten Auge eine Pause verschafft und verhindert das die Dunkeladaption verloren geht. 
Die intensive Beobachtung von ca. einer Stunde pro Objekt macht den Beobachtungsstuhl unentbehrlich. Er hilft eine bequeme Beobachtungshaltung einzunehmen. 
Um möglichst keinen Fremdlicht ins Auge einfallen zu lassen, stülpe ich die Kapuze über den Kopf und das Okular. Die umliegenden Schneefelder sind nämlich relativ hell 
und stören so bei der Beobachtung.

*''Abell 15'': kurioserweise mit relativ hoher Vergrößerung (9 mm Okular bei 180 fach) aufgesucht und schnell gefunden. Zuvor habe ich damit den Kugelsternhaufen M79 im Sternbild Lepus beobachtet. Es zeigt sich nach längerer Beobachtung schließlich ein sehr kleiner runder Nebel ohne Zentralstern. Bildet mit zwei Sternen ein gleichseitiges Dreieck.

*''Abell 21'': Medusa Nebel. Wahrscheinliche Doppelbeobachtung. Großer sichelförmiger Nebel. Im Inneren sind einige Sterne zu sehen. Der Nebel zeigt im Inneren Strukturen in Form von Knoten und helleren Filamenten. Ein Ende der Sichel ist deutlich heller. Sichelform nach außen scharf begrenzt.
 
Habe diesen Nebel nicht intensiver beobachtet, da ich mir sicher war dass ich ihn bereits ausgiebig im letzten Oktober auf La Palma beobachtet hatte. Bemerkung: Es handelt sich tatsächlich hier um eine Doppelbeobachtung. Erstmals im Oktober 2013 beobachtet, aber im Bericht leider nicht verzeichnet. In meinen Beobachtungsaufzeichnungen fälschlicherweise auch als Abell 20 gekennzeichnet.

*''Abell 18'': Nach intensiver Beobachtung taucht indirekt ein kleiner runder Nebel ohne Zentralstern auf. Sehr schwach, kann nicht ständig gehalten werden. Blitzt aber immer wieder indirekt schwach auf. Ähnlich groß wie Abell 15.
*''Abell 30'': Diffuses Glimmen um einen schwachen Stern. Typischer Abell. Bei 114 fach und OIII-Filter nichts zu sehen. Erfolg dann schließlich bei AP 5.6 und 56 facher Vergrößerung mit OIII-Filter.
*''Abell 31'': Bei 56 fach und OIII-Filter erscheint ein schwaches Glimmen um einen Stern. Bei genauer Beobachtung scheint dies auch ein "Doppelstern" zu sein. Im Nebelgebiet sind weitere sehr schwache Sterne zu erkennen. Nebel ist sehr gross und rund ohne Struktur. Scheint zum Zentrum hin heller zu werden. Relativ einfach zu sehen.

Mittlerweile ist es 4:30 Uhr am Morgen. Die zuvor stark vereisten Scheiben des Autos und auch Teile des Teleskops sind wieder eisfrei geworden. Offenbar ist die Luft deutlich trockener als zu Beginn der Nacht. Im Nachhinein wurde eine Luftfeuchtigkeit am etwa 100 km entfernt liegenden Carlar Alto bei 20 % gemessen. Ich mache erst mal eine weitere Beobachtungspause und gönne mir das zweite Teil meines Brots mit Serrano-Schinken. Dazu ein Schluck aus der Wasserflasche, aus der mir schon Eisbrocken entgegenkommen.

Von der Straße her kommen häufiger Geräusche vorbei fahrender Autos. Zunächst glaube ich, dass sie gleich hier auftauchen und gehe vorsorglich in Deckung. Aber je häufiger sich das wiederholt, desto entspannter werde ich, da natürlich niemand kommt. Es ist einfach diese Stille, die nur kurz von Tierlauten und gelegentlich von Flugzeugen unterbrochen wird. Ich überlegte, ob ich Abell 19 als nächstes Objekt ins Visier nehmen sollte.
 Laut Atlas sollte dies ein relativ leicht zu erkennender Abell-Nebel sein. Aber ich hatte bis jetzt keines der typischen und
 mir doch sehr am Herzen liegenden Winterobjekte eingestellt. Darüber hinaus schaute ich mir das Sternenfeld an, in dem der Nebel aufzufinden war. Ich hatte es hier mit einem reichen Milchstraßenfeld zu tun und anhand der Karten schien das Aufsuchen sicherlich mühsam. Zum Aufsuchen benutze ich eine Kombination aus klassischem papierhaften Atlas, sowie die Triatlas App für das iPhone/iPod. Im Vorfeld suche ich mir die entsprechenden 
Kartenteile und die Stelle in der Triatlas App im Vorfeld raus, so dass ich vor dem Aufsuchen mich nicht noch mit der Recherche beschäftigen muss. Ich finde daher die Objekte relativ schnell. Da die Abell Nebel dieser Nacht an der Wahrnehmungsgrenze liegen, beobachte ich sie sehr intensiv. 
Im Schnitt wohl länger als etwa eine Stunde pro Objekt.
So entschied ich mich die Abell-Funzeln und damit auch Abell 19 ruhen zu lassen und widmete mich den typischen Winterobjekten: ''Rosettennebel, 
am M46 + 47. NGC 2438'' sehr deutlich ohne Filter als ringförmiger PN zu erkennen. Sehr eindrucksvoll. ''M 51,101, Leo-Tripplett, Sombrero Galaxie, Markarian's Chain''. 
Mittlerweile war es 5:30 Uhr. Ich erinnerte mich daran, dass der ''Komet Lovejoy'' im Sternbild Herkules am Morgenhimmel erscheinen sollte. Teile des Herkules waren bereits aufgegangen, so dass ich mir den Feldstecher schnappte und den Horizont nach dem Kometen absuchte. 
Direkt über den östlichen Horizont war nach kurzer Suche der Komet zu sehen. Wunderschön! 

*''Komet Lovejoy'': Direkt über dem Horizont taucht er auf. Es ist ein sternartiges helles grünes Zentrum mit grüner Koma zu erkennen und ein bläulich schimmernder schwacher Schweif, der senkrecht über den Horizont etwa 1-2° aufragt. Im Teleskop bei 56 fach überragend. Abschluss einer grandiosen Beobachtungsnacht!
Gegen 6:00 Uhr packe ich ein und stelle fest, dass alle Scheiben vom Auto bis auf einen kleinen Rest an der Frontscheibe mittlerweile eisfrei sind. 
Eine halbe Stunde später ist alles verstaut und der Rückweg über den verschneiten Feldweg kann beginnen. Ohne Probleme erreiche ich die Straße und fahre vorsichtig in Richtung Dorf zurück. 
Auf der Fahrt hinter den nächsten Bergen erscheint der mittlerweile aufgegangene Mond kristallklar mit seinem aschgrauen Licht. 
Gegen 7:15 Uhr komme ich dort an und gönne mir an der Bar wie immer einen Cognac. Gegen 8:00 Uhr bin ich dann im Bett und erhole mich von dieser 
traumhaften Beobachtungsnacht. Für den nächsten Tag waren Wolken vorhergesagt, so dass ich mich darauf einstellte an diesem Morgen noch zurückzufahren. 
Für die weiteren Tage bis zum 6. Januar war kein weiteres Beobachtungsfenster in Sicht. Aber diese Nacht hat mich dafür entschädigt und mich 
darin bestärkt auch weiterhin jede Gelegenheit zu nutzen und das Teleskop bei Urlauben mitzunehmen.
Anbei weitere Messdaten: 21.11 um 19:30 Uhr, 21.42 um 20:00 Uhr, 21.50 um 0:30, 21:62 um 0:45 Uhr 21.57 um 04:00 Uhr, 21:50 um 06:00 und 06:35 Uhr.  Alle Messungen im Zenit. Temperatur etwa bei -3 Grad. Mondaufgang war lt. [[La Palma  Ephemeris Calendar|http://catserver.ing.iac.es/schedules/astrocalendar.php]] um 04:45 Uhr. 

!!2. Nacht - 05.01.2014 - PDA von 19:30 bis 06:00 Uhr

Überraschenderweise ergab sich erneut eine Beobachtungsmöglichkeit. Diesmal ging es aber auf die Nachbarseite der Sierra nach Santiago del la Espada. Der Wetterbericht hatte sich am Morgen positiver als am Tag zuvor gezeigt. Wichtig für die Entscheidung zu fahren war, dass unterschiedliche Wetterdienste, AEMET.es, eltiempo.es und meteoblue.com sich über den klaren Nachthimmel einig waren. Die Luftfeuchte sollte auch mitspielen. 
Zunächst jedoch regierte die Zirrusbewölkung. Sie sollte aber pünktlich mit Untergang des Mondes um 23:15 Uhr abziehen. Meteoblue.com sagte zudem ausgezeichnetes Seeing vorher. Das heißt bis zum Monduntergang kann man Mond & Jupiter sehr gut beobachten. Diesmal wollte ich früher aufbrechen...na ja. Also kam ich im Dorf sehr spät an und nach Aushändigung des Zimmerschlüssels und einer Cola an der Bar, ging es dann auch gleich wieder los. Die Anfahrt von hier zum Beobachtungsplatz ist mit 14 km deutlich kürzer als aus La Puebla de Don Fadrique. Das sollte sich nach der Beobachtungsnacht noch als Vorteil erweisen.

<a href="https://www.flickr.com/photos/106029581@N02/13743492514" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7435/13743492514_c756c41151_c.jpg"></a>

<a href="https://www.flickr.com/photos/106029581@N02/13743202593" title="  by Olivito Astro, on Flickr"><img src="https://farm3.staticflickr.com/2898/13743202593_48c52aace5_c.jpg" ></a>

Blick von der Sierra in Richtung Dorf Santiago de la Espada

<a href="https://www.flickr.com/photos/106029581@N02/13743203615" title="  by Olivito Astro, on Flickr"><img src="https://farm3.staticflickr.com/2864/13743203615_0996a4c079_c.jpg"></a>

Blick vom Dorf Santiago de la Espada in Richtung Sierra

<a href="https://www.flickr.com/photos/106029581@N02/13744185303" title="  by Olivito Astro, on Flickr"><img src="https://farm6.staticflickr.com/5450/13744185303_1d5ffe0d34_c.jpg"></a>

Der Beobachtungsplatz neben der Viehtränke

Am Beobachtungsplatz angekommen, zeigte sich dieser mit deutlich reduzierter Schneedecke. Dabei war der Weg stellenweiser aber vereist und es war äußerste Vorsicht geboten. 
Dennoch kam ich den kleinen Feldweg bis zum Viehtränke gut hinauf. Ich baute wieder auf dem Schotterplatz auf und bemerkte am Rand neben dem Auto eine kleine "Losung". Ich wollte sie auf jeden Fall wegschaffen, da die Gefahr dorthin einzutreten recht groß war. Da markierte ich die Stelle, indem ich den Barhocker drüber stellte. Ich hatte mir bezüglich des Malheurs der zu kurzen Stangen etwas überlegt und so begann ich rasch mit dem Aufbau. 
Ich hatte vor den Hauptspiegel etwas tiefer zu legen und so mehr "Platz" am Okularauszug zu bekommen. Das klappte auch. Zum Einbruch der astronomischen Dämmerung war das Teleskop aufgebaut und als erste Objekte wurden der Mond und Jupiter eingestellt. 

Die Nacht begann um 19:40 Uhr. Es war windstill und der Himmel zunächst von recht starker Zirrusbewölkung überzogen. Circa +6 °C. Während der Nacht auf circa -1 °C fallend. Hohe Luftfeuchtigkeit.

Ich nutze die Zeit bis zum Monduntergang auch um mich zu stärken. 
Nach dem leckeren Schinkenbrot habe ich die restliche Heidelbeermarmelade vertilgt und mich dabei ordentlich bekleckert. 
So bin ich zur Viehtränke rüber und habe erst mal wieder meine Jacke gewaschen. Ich wollte unbedingt vermeiden, dass die Flecken drauf blieben. 
Irgendwann habe ich schließlich mit dem Barhocker am Teleskop beobachtet. Dann fiel mir etwas später ein, dass ich mich auch um die "Losung" kümmern wollte. 
Als ich nachschauen wollte, war sie weg. Na toll, dann habe ich sie wohl mit meinen Stiefeln "aufgegabelt". 
Ich habe mir dann erst mal die Füße vertreten in der Hoffnung, dass ich sie wieder "ablegen" würde, die "Losung" natürlich. 

Das Seeing war tatsächlich sehr gut. Jupiter zeigte sich blickweise sehr ruhig und die Strukturen ließen sich gut beobachten. 
So konnte ich den Meridiandurchgang des GRF beobachten. In der zweiten Nachthälfte sollte das Seeing sogar noch besser werden und damit noch bessere Jupiter Bilder liefern.
 Leider war der GRF schon auf der Rückseite verschwunden und Jupiter zeigte sich mit weniger spektakulären Oberflächendetails.
 Ein Problem zeigte sich sowohl bei der Mond als auch bei der Jupiter Beobachtung. Die Bilder waren eindeutig zu hell. Vor allen Dingen auf Jupiter waren die feinen Wolkenbänder in Richtung von Nord- und Südpol nicht so gut auszumachen, da sie vom Rest überstrahlt worden.
 Bei monookularer Beobachtung benötige ich unbedingt einen Graufilter.

Um 23:15 Uhr ging schließlich der Mond endlich unter. Die Zirren waren weitesgehend abgezogen, aber der Himmel noch milchig und aufgehellt. 
Es zeigten sich vor allem Richtung Osten und Südosten einige relativ helle Lichtglocken. Immerhin waren kurz vor und nach Monduntergang SQM-L Werte von 21.44 möglich.

Es ging zum letzten Abell dieser Beobachtungsnächte.

*''Abell 19'': Bei 56 fach und OIII-Filter nicht zu erkennen. Bei 114 fach und OIII-Filter schließlich zeigt sich nach längerer intensiver Beobachtung ein zartes Glimmen um einen Stern. Keine Strukturen erkennbar. Indirekt nicht ständig zu halten. Typischer Abell.
Danach checkte ich noch Abell 33 und 35. Sie waren aber erst zum Ende der Nacht beobachtbar, wenn überhaupt. So vertrieb ich mir die Zeit mit einer Reihe von Standardobjekten: ''M42, M41 & "Running Man"''. Schließlich landete ich bei den zahlreichen offenen Sternhaufen im Sternbild Großer Hund. Die Luftfeuchtigkeit wollte auch nicht weichen, und so musste ich hin und wieder mit meiner Hand den Fangspiegel wärmen. Das Teleskop war mittlerweile klatschnass.

*''NGC 3262'': unregelmäßiger Haufen mit sehr hellem Stern abseits des Zentrums.
*''NGC 2354'': Bei 56 fach großer, lockerer unscheinbarer SH. Kaum auffällig in der sternreichen Wintermilchstrasse.
*''NGC 2359 - "Thor's Helm"'': Schon ohne Filter auffälliger großer Nebel. OIII und UHC bringen nochmal deutlich mehr Kontrast. Sieht tatsächlich aus wie ein auf dem Kopf stehender Helm wobei weitere Nebelfilamente von ihm abgehen.
*''NGC 2367'': N-S ausgerichteter unscheinbarer SH mit wenigen Sternen. Sieht aus wie eine Rakete bzw. "Space Shuttle" aus. Dabei besteht die Spitze aus deutlich helleren Sternen.
*''NGC 2374'': Unscheinbarer, lockerer recht großer SH. Geht in der Wintermilchstrasse unter. Unklar wo der SH aufhört.
*''NGC 2382'': Kleiner, runder Nebel mit Helligkeitszunahme zum Zentrum hin.

Ich überprüfte mal wieder den Fangspiegel und stellte dabei fest, dass dieser wieder leicht beschlagen war. 
Beim Blick auf den Hauptspiegel sah ich zudem, dass dieser ebenfalls betroffen war. 
Hier war offensichtlich eine Wolke aus Süden kommend durchgezogen. So war zunächst die südliche Wintermilchstraße gestorben. Das SQM-L zeigte auch nie zuvor gemessene Spitzenwerte über 22.0 an. Leider lag dies nicht am Himmel, sondern an der Tatsache, dass das Gerät von Ihnen beschlagen war.
 In der Hosentasche aufbewahrt, zeigte er es anschließend wieder nachvollziehbare Werte um 21.53 an. Bis sich der Hauptspiegel wieder fing, vergnügte ich mich daher mit Jupiter. 
Dass Seeing war ausgezeichnet und so konnte ich viele Details in der Atmosphäre erkennen. 
Leider war kein Highlight, d.h. der GRF oder ein Mondschatten zu sehen. Der GRF war bereits entschwunden. 
Nach etwa 20 Minuten war der Hauptspiegel wieder frei und so warf ich einen Blick auf die mittlerweile sehr hoch stehenden Galaxien.Zunächst schaute ich mir einige im Großen Wagen an, wie ''M97 & 108. HCG 50'' konnte ich nicht sehen. ''M109'' ist für ein Messier-Objekt relativ schwach zu sehen. Anschließend ging es in die Coma Berenices und den Löwen um weitere Galaxien anzuschauen. Dies waren unter anderem das "Triplett", sowie ''NGC 4631'', ''4656 + 57''. 
Dabei fiel mir auch eine relativ helle haarnadelförmige Galaxie mit leichtem Bulge auf. Konnte Sie aber mit Atlas nicht eindeutig identifizieren.

Mit dem Wechsel zum 25 mm Übersichtsokular fiel mir auf, dass der Himmelshintergrund für die große Austrittspupille (5.6 mm) überraschend dunkel war. 
Ich dachte zunächst wieder daran, das der Haupt- beziehungsweise Fangspiegel beschlagen sind, obwohl diesmal die Sterne keinerlei Hof zeigten. Beim Blick auf den Sternenhimmel zeigt sich dieser sehr, sehr dunkel und auch am Horizont, vor allem in Richtung Osten, wo vorher Lichtglocken erkennbar waren, sind diese komplett verschwunden. Schnell griff ich zum SQM-L und tatsächlich: es wurden Spitzenwerte knapp über 21.7 im Mittel gemessen. Leider war die Nacht fast zu Ende. Und da auch der Fangspiegel bereits wieder angetaut war, beschloss ich schließlich um 6:00 Uhr zusammen zupacken, obwohl eigentlich noch eine halbe Stunde gehen sollte. 
Als letztes Objekt wurde M13 eingestellt. Ein letzter Blick auf den Sternenhimmel zeigte unter anderem auch das Sternbild Leier, dass bereits wieder vollständig aufgegangen ist.

Messwerte: 19:40 Uhr 20.70, 20:30 Uhr 21.03 bei +1 später -1 Grad Celsius Celsius, 21:15 Uhr 21.13, 22:45 Uhr 21.19. 23:00 Uhr 21.44. Alle Messungen bei Mondschein Phase fast 1/4 Viertel. Monduntergang um 23:15 Uhr. Milchstraße trotz Mondschein schwach sichtbar. Seeing excellent. 03:30 Uhr 21.53. 05:30 Uhr 21.70.

Ein Blick auf die Umgebung zeigte, dass der Boden deutlich aufgehellt war. Es schien fast, als ob der Mond aufgegangen war. Dies aber war unmöglich, und bei näherer Betrachtung zeigte sich, das der Boden von einer dicken Schicht Raureif überzogen war. Gleiches galt für das Auto, wo ich erst mal die Scheibe frei kratzen musste.  Anschließend ging es, nachdem ich alles zusammen gepackt hatte, im Schneckentempo den Feldweg hinunter. An der Straße angekommen, schien diese, wie mit Diamantenstaub überzogen, zu glitzern. Oh nein! Im Schneckentempo ging es weiter. Zum Glück hatte ich nur einen kurzen Weg vor mir und so traf ich nach einer sehr, sehr vorsichtigen und langsamen Fahrt schließlich im Dorf ein. 

Nach zu wenig Schlaf, klopfte es schließlich um die Mittagszeit an meiner Tür. Es wurde gefragt, ob ich noch eine Nacht bleiben würde oder nicht. Hintergrund sei, dass gleich die Putzfrau kommen würde, um das Zimmer zu reinigen. Eigentlich hatte ich an Vortag geklärt, dass ich auch ohne Probleme länger bis zum Nachmittag schlafen könnte. 
Aber leider hatte sich das wohl nicht rumgesprochen. Ich stand also auf und duschte und checkte nebenbei die neuesten Wetterprognosen. Diese kündigten für die nächste Nacht Zirrusbewölkung an, so dass ich mich schon - wie am Vortag bereits vermutet - damit abfand, dass dies tatsächlich die letzte Beobachtungsnacht gewesen sein sollte.
Also verlasse ich das Zimmer und frühstücke noch in der Bar um anschließend, nachdem ich die Rechnung bezahlt hatte, wieder Richtung Sierra aufzubrechen, mit dem Ziel noch ein paar Schnappschüsse zu machen. Der Himmel war tiefblau und die Temperaturen aufgrund des Sonnenscheins sehr angenehm. Am Fuße der Sierra angekommen, sah ich, dass der Winterdienst hier ordentliche Arbeit geleistet hatte, denn die Straße war mit einer dicken Salzschicht überzogen. Ich hatte vor bis an den höchsten Punkt, der mit dem Auto erreichbar, den Puerto de la Losa, zu fahren, um Fotos von hier oben zu machen. Die Fahrt durch die Sierra war traumhaft und so verblieb ich auch am Aussichtspunkt mehr als zwei Stunden, um die Aussicht zu genießen. Hier oben waren noch Schneefelder zu sehen, aber die angenehm hohen Temperaturen setzten Ihnen stark zu. 
Ich mache halt an einer Weide, auf dir auch drei Kühe standen. Anfangs nahmen sie Notiz von mir, aber später wandten sie sich schließlich ab. 

<a href="https://www.flickr.com/photos/106029581@N02/13744228713" title="  by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3693/13744228713_98cef6b03c_c.jpg"></a>

<a href="https://www.flickr.com/photos/106029581@N02/13744245835" title="  by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3760/13744245835_d29390778f_z.jpg" ></a>

<a href="https://www.flickr.com/photos/106029581@N02/13744756404" title="  by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7195/13744756404_4c4044b2db_z.jpg" ></a>

<a href="https://www.flickr.com/photos/106029581@N02/13744334283" title="  by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3671/13744334283_2ca6df2572_z.jpg" ></a>

Am Morgen zeigte sich die Region von ihrer Sonnenseite.

<a href="https://www.flickr.com/photos/106029581@N02/13744809484" title="  by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3715/13744809484_c622fd1d9d_z.jpg" ></a>

In den Höhenlagen der Sierra am "Puerto de la Losa" sind noch vereinzelt Schneefelder anzutreffen.

Ich nutzte die Zeit hier oben um das Material der letzten Nacht reisetauglich zu verstauen und die Sonne zu genießen.

<a href="https://www.flickr.com/photos/106029581@N02/13752621143" title="  by Olivito Astro, on Flickr"><img src="https://farm3.staticflickr.com/2922/13752621143_cb2ceca883_z.jpg"></a>

Blick auf den Berg La Sagra ist immer wieder faszinierend. Der Berggipfel ist nur zu Fuß zu erreichen.

<a href="https://www.flickr.com/photos/106029581@N02/13752675925" title="  by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3686/13752675925_5bbdd3f7a6_z.jpg"></a>

Die Einfahrt zum OLS.

Auf dem Weg zur Landstraße kam ich schließlich auch am OLS - "Observatorio La Sagra" vorbei. Das Tor stand weit offen und das Gelände machte verlassenen Eindruck. 
Ich war aber zu kaputt um mich hier nochmal umzuschauen. Das Observatorium ist aber scheinbar aber noch in Betrieb. 
Es war mittlerweile später Nachmittag und die Landschaft wurde in ein zauberhaftes Licht getaucht...und ich bin auf dem Rückweg nach Valencia.

!!Herbst 2014
*[[27.09.2014 Rhön]]
!!Spanien Sommer 2014
!!!Cazorla 2014
*[[27.08.2014 Pinar de Araceli]]
*[[26.08.2014 Pinar de Araceli]]
*[[25.08.2014 Pinar de Araceli]]
*[[24.08.2014 Pinar de Araceli]]
*[[23.08.2014 Pinar de Araceli]]
*[[22.08.2014 Pinar de Araceli]]
*[[21.08.2014 Pinar de Araceli]]
!!!Bonilla 2014
*[[19.08.2014 Bonilla]]
*[[17.08.2014 Bonilla]]
*[[16.08.2014 Bonilla]]

!!Deutschland Frühjahr 2014

*[[24.05.2014 ITV-Feeling]]
*[[20.05.2014 Allein auf dem ITV]]
*[[03.05.2014 Eine Mainacht in der Rhön]]
*[[20.04.2014 Eine Osternacht in Stumpertenrod]]

!!La Palma März 2014

*[[La Palma im März 2014]]

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Bin pünktlich am Beobachtungsplatz. Pünktlich heißt, dass die Dämmerung bereits eingesetzt hat. Richtig dunkel ist es aber noch nicht. 

! „Rangeraktion!“

Ich baue auf, und schließlich hält ein Pick-up, nachdem ein anderes Auto vorbeigefahren kam. Ein junger blonder Mann steigt aus. Ich müsse leider hier weg. Ich stünde im Naturschutzgebiet. Recht hat er und ich weiß ich muss gehen. Ich versuche noch zu diskutieren, aber keine Chance. Sichere zu abzubauen. Er empfiehlt einen Parkplatz etwas weiter weg. Das Problem sei unter anderem, dass es in letzter Zeit „illegale Sternführungen“ gegeben habe, wo die Leute sogar auf den Wiesen gelegen hätten. Innerlich schmunzele ich, denn was soll an Sternführungen bitte illegal sein? Aber die Antwort gibt er quasi selbst: man habe Leute im Naturschutzgebiet, in Schlafsäcken im Naturschutzgebiet liegend und auch mit Wohnmobilen vorgefunden. Ich frage ihn schließlich abschließend, ob er ein Ranger sei, wobei er dies verneint und sich als örtlicher Jäger zu erkennen gibt. Trotzdem eine klassische „Rangeraktion“. Im Management-Sprech bekannt, aber so wird das ganze tatsächlich praktisch anschaulich: man bemerkt plötzlich, dass etwas vermeintlich schief läuft und reagiert: „Rangeraktion“! Danach verläuft das ganze üblicherweise im Sande. „Rangeraktionen“ sind Idiotie oder purer Aktionismus. Gut für uns. Vermutlich ist es sogar so, dass wenn irgendwann niemand mehr in die Lange Rhön kommt, sich das ganze ins Gegenteil verkehrt. Dann wird plötzlich wieder Werbung für die Rhön und was auch immer gemacht, damit die Leute kommen. Wie wird sowas gemessen? Ganz einfach anhand der Anzahl parkender Autos 🚗 auf den (legalen) Parkplätzen? Wahrscheinlich wird sogar die Losung ausgegeben, über Ordnungswidrigkeiten hinweg zu sehen. Bis das ganze wieder überhand nimmt und die nächste „Rangeraktion“ ansteht.

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Ich schreibe Mathias eine SMS, wo ich hinfahren werde, damit er entsprechend umdisponieren kann. Natürlich liest er die SMS erst mal nicht, denn als er später am anderen Platz eintrifft, erzählt er, dass er vor Ort zwei Leute angetroffen habe, die sogar einen Hund dabei hatten. Sie meinten, sie würden ein paar Fotos machen, und ich bin froh, dass mich der Jäger verscheucht hat, denn andere Leute, selbst mit den gleichen Hobbys können häufig auch ein Problem darstellen. Die meisten reden einfach nur und das sind die „Ungefährlichen“. Die „Gefährlichen“ fuchteln mit Licht und allerlei Gedöns herum und stören einen bei der Beobachtung.

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Ich verliere praktisch keine Zeit. Ich habe in circa 15 Minuten alles verstaut. Und eine halbe Stunde später am anderen Platz wieder alles aufgebaut.
Die Bedingungen sind tatsächlich sehr gut, geringere Luftfeuchte als gestern. Kälter ist es auch mit 15 °C. Himmel ist sehr gut, 21.55 mit Linse und 21.49 ohne. Erstes Objekt ist wieder NGC 6888 und die Grobzeichnung finalisiert. Dann gibt es Highlights. Vor allem im Bino. Als erstes starte ich M 101 einen Besuch ab. Ich kann tatsächlich von der Supernova nichts mehr ausmachen. Komplett verschwunden. Dann geht es weiter zu M 13, M 27. Vor allem im Bino toll. Mathias ist mit dem Feldstecher heute da und beobachtet verschiedene Objekte. Morgen will er dann mit 10 Zoll vorbei schauen.

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Grün ist die Lichtverschmutzung und die RAW-Aufnahmen zeigen dies deutlich. Das gilt nicht nur für die Rhön, sondern quasi für alle Beobachtungsorte, die ich in Europa kenne. Sehr traurig, aber ist so.  Bei den Top-Adressen wie La Palma und Namibia ist das anders. Der grüne Schleier zeigt sich auch nur auf Aufnahmen astromodifizierter Kameras. Unmodifizierte hingegen zeigen diesen grünen Schleier nicht. In Namibia beispielsweise ist davon gar nichts zu sehen, sondern einfach nur ein genialer Sternenhimmel. Das Grün lässt sich im übrigen kaum aus den Aufnahmen entfernen. Ich habe es versucht und das Ergebnis ist denke ich gut geworden. 😀

<<<

Wunderbare Nacht. Seeing ist auch gut, wenn auch nicht so gut wie gestern. Dann kommen zunächst im Norden Wolken auf. Gegen drei Uhr sind sie dann fast überall. Jupiter verschwindet sogar immer wieder kurzzeitig. Wir beschließen abzubauen. Schöne, sehr gute Nacht. Wahrscheinlich haben wir heute das Optimum, was dieser Platz und die Rhön tatsächlich bietet, gesehen.

[[<< Zurück zur letzten Nacht|20. August 2023 - Lange Rhön]] | [[Weiter zur nächsten Nacht >>|22. August 2023 - Lange Rhön]]

Heute ist es total bewölkt und die Vorhersage meint, dass es auch nachts so sein wird. Es sind sich alle einig, deswegen schließe ich mich an. 😂 Ich nutze  die Zeit und mache einen Ausflug zum Calar Alto. Das letzte Mal war ich [[2011|2011/12 Besuch auf dem Calar Alto]] dort, und heute möchte ich mir das ganze noch mal genauer anschauen. 

Doch bevor es losgeht, muss ich einmal durch die Sierra. Da bekomme ich auch bei der Einfahrt zum Pinar vorbei und stelle fest, dass dieser geöffnet ist!
Das Gelände ist offenbar wieder zugänglich. Die Steine in der Zufahrt wurden entfernt. Man kann jetzt mit einem Kleinwagen mit Vorsicht einfach passieren.

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Die Hütten wurden offenbar aufgebrochen. Leider haben die Schafe offenbar Unterschlupf darin gesucht und die Hütten sind in einem denkbar schlechten Zustand. Jedoch, ist das Gelände ähnlich wie vor zehn Jahren mit seinen Zufahrtswegen gut erhalten.

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Am Rezeptionsgebäude steht noch der Geländewagen an der selben Stelle wie vor zwölf Jahren. Sogar der Kinderspielplatz ist noch weitgehend intakt.

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Die Hütten stehen auf den umliegenden Hügeln, in deren Mitte etwa ein betoniertes Basketballfeld angelegt ist.

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Schafe sind keine mehr hier, offensichtlich wird das Gelände nicht mehr für diese Zwecke genutzt. Am Ende beobachte ich nachts hier nicht, allerdings sind die Beobachtungsbedingungen ähnlich wie circa 300 m entfernt auf der Wiese, die von hier oben gut sichtbar ist. Der Vorteil ist also hier nicht der unbedingt bessere Himmel, sondern die Infrastruktur, wie asphaltierte Straße und betonierte Flächen, die als Beobachtungstandorte genutzt werden können. Letztlich handelt es sich hier um einen „Lost Place“, der allerdings jetzt wieder komplett zugänglich ist. Das war er jetzt praktisch zwölf Jahre lang nicht.

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Damals hatte ich die Anfahrt unterschätzt und musste nach kurzem Aufenthalt direkt wieder aufbrechen, denn ich wollte abends wieder beobachten. Heute bin ich natürlich schlauer und an Beobachtung ist - wie gesagt - nicht zu denken. 

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Doch, jetzt geht es weiter zum Calar Alto.

!Calar Alto

Die Autofahrt dauert je nachdem, wo man in der Sierra de Segura untergebracht ist etwa eineinhalb bis zweieinhalb Stunden. Ich bin diesmal „ungünstig“ gelegen und so muss ich erst mal wieder zurück zu einem anderen bekannten Dorf La Puebla de Don Fadrique. Dazu muss man die Sierra komplett durchqueren und dafür benötigt man bereits eine Stunde. Im Dorf angekommen, mache ich einen kurzen Tankstopp und bin überrascht, dass das Hotel, in dem ich früher war, offenbar geschlossen ist. Der Tankwart meint, dass sie mittlerweile mittwochs Ruhetag hätten. Sehr kurios, denn dieses Hotel mit angeschlossener Bar und Restaurant, hatte früher 24 Stunden rund um die Uhr geöffnet. So konnte man mitten in der Nacht, zum Beispiel um vier Uhr morgens an der Bar noch ein Bierchen trinken, bevor man im Bett verschwand. Tja, so ändern sich die Zeiten. 

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Einen Tag später, als ich mit der Wirtin ins Gespräch komme und wir einen weiteren Aufenthalt nächstes Jahr abklopfen, erläutert sie mir, dass im Herbst hier normalerweise die Hölle los sei. Die Sache mit der Unterkunft wird sich sogar nächstes Jahr verschärfen, denn ein Hotel im größeren Nachbardorf schließt komplett. Auf Nachfrage, warum dies geschehe, erläutert sie, dass die Besitzer, sagen wir es kurz, keinen Bock mehr haben. Ich habe tatsächlich die Vermutung, dass die Gegend weiterhin entvölkert wird, aber sie versichert mir, dass die Nachfrage kontinuierlich hoch sei. Trotzdem begegnet mir in diesen Tagen in der Sierra praktisch kein Mensch.

Doch nun zurück zum Ausflug. Die Autofahrt ist ganz gut zu bewältigen, denn es geht über Landstraßen, auf denen man allerdings nur 90 fahren darf, aber alle etwas mehr als 100 drauf haben. Dann geht es über die Autobahn zunächst Richtung Sierra Nevada und dann über einen Abzweig weiter Richtung Osten. Schließlich kommt die Ausfahrt, und dort ist auch schon das Observatorium ausgeschildert. Durch die Sierra de Filabres geht es dann richtig steil bergauf. Die Landschaft ist wirklich kurios, komplett ausgeräumt bis auf die vielen Grasbüschel, die man überall sieht. Ich komme sogar an einer kleinen Siedlung vorbei, die total verlassen aussieht. Noch kurioser sieht diese auf dem Rückweg aus, denn dann ist es bereits dunkel und sie ist komplett beleuchtet! Dabei kann man allerdings wirklich erkennen, dass dort im Moment offenbar wirklich niemand wohnt, denn es ist kein Licht in auch nur einem der Häuser zu erkennen. Das zum Thema Lichtverschmutzung! Dies ist tatsächlich ein Thema hier, wenngleich der Himmel hier deutlich besser ist als in Deutschland. Viele der „sterbenden“ Dörfer werden nachts trotzdem beleuchtet, da die Besitzer der Häuser, grundsätzlich ja jederzeit dort sein könnten. Tatsächlich ist dies aber niemand, außer vielleicht im Sommer.

Ich krieche mit dem Wagen weiter hinauf und erreiche schließlich den Pinienwald. Ich habe in Erinnerung, dass hier irgendwo noch ein Dorf sein müsste, aber wahrscheinlich bin ich einen anderen Weg als damals gefahren. Schließlich taucht ein Schild auf, dass das Observatoriumsgelände erläutert. Ich bin also angekommen.

Ich fahre bis zu den Unterkünften der Wissenschaftler und parke auf einer Fläche abseits. Dann schnappe ich mir die Kamera und laufe ein wenig herum. Das Gelände ist nicht sehr groß, und beherbergt insgesamt nur vier Kuppeln. Die größte davon ist das 3,5 m Teleskop, wobei das Sternwartengebäude inklusive Dom dafür absolut riesig dimensioniert sind. So kenne ich beispielsweise auch das WHT mit seinem 4m Spiegel auf La Palma und das Gebäude ist bedeutend kleiner. Auf jeden Fall sehr imposant! Als ich mit dem Gebäude nähere, sehe ich auch, dass eine Tür offen steht. Reingehen? Nein, besser nicht.

Ich mache viele Fotos und spute mich ein wenig, denn ich habe bisher noch nichts gegessen. Die Idee war ja auf dem Weg zu essen beziehungsweise im nahe gelegenen Dorf. Aber jetzt ist es zu spät, und obwohl ich versuche, den richtigen Abzweig zu finden, gelingt es mir nicht und ich futtere schließlich ein mitgebrachtes Brot im Pinienwald unterhalb des Gipfels. Zum Sonnenuntergang will ich auf jeden Fall wieder oben sein, denn dann möchte ich die Teleskope und die Umgebung fotografieren.

Hier oben laufen auch allerlei Tiere rum, vereinzelte Ziegen, sogar Rehe sind zu beobachten und machen auch kaum Anstalten zu fliehen. Ich bin heute auch der einzige, der hier oben rum läuft. Ein Bediensteter grüßt mir auf dem Auto. Hier macht sich offensichtlich keiner Stress.

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Der Calar Alto gehört mittlerweile nicht mehr zu den Top-Adressen der internationalen Astronomieforschung. Dies liegt vor allem daran, dass sich die Organisationen auf andere Standorte konzentriert haben. Das Max-Planck-Institut, was hier ursprünglich auch beteiligt war und was man auch da noch daran erkennen kann, dass viele Schilder auch auf Deutsch sind, ist hier komplett ausgestiegen. Ein Problem des Standorts ist vor allem die zunehmende Lichtverschmutzung, die zwar vor ein paar Jahren überhastet in einem Gesetz zum Schutz des Nachthimmels mündete, aber letztendlich ist es ja überall auf der Welt ein Problem, die Lichtverschmutzung praktisch zu stoppen. Mit Gesetzen, die sich nicht durchsetzen lassen, ist da wenig geholfen und selbst wenn sie sich durchsetzen lassen, sind die Zonen, wo man den Himmel schützen kann, doch recht klein. Denn Lichtverschmutzung wirkt über sehr weite Strecken und man kann natürlich nicht in 100 km Entfernung beispielsweise dafür sorgen, dass die Straßenbeleuchtung einer Großstadt entsprechend angepasst wird. Das ist dann doch zu viel des Guten.

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Die Fernsicht ist auf jeden Fall von hier oben grandios. Der circa 80 km entfernte Berg ⛰️ La Sagra ist von hier oben hervorragend zu erkennen (auf dem Foto am Horizont in etwa in der Mitte).

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Naja, auf jeden Fall ist es gut, dass das Observatorium noch da ist, denn  faktisch stand es mit dem Ausstieg der Deutschen kurzzeitig vor der Schließung. Dabei wurde auf den letzten Metern offenbar zu interessanten Mitteln gegriffen, denn vor ein paar Jahren war es sogar möglich eines der Teleskope für die visuelle Beobachtung zu nutzen. Ursprünglich war dies für Gruppen geplant, wobei man sich dann dort anmelden musste, aber auf meine Nachfrage, wurde mir auch die Möglichkeit angeboten, das Teleskop eine Nacht komplett zu mieten und zu nutzen. Natürlich gab es ein Haken dabei, denn es war nur sehr wenige Nächte zugänglich und dann auch nicht komplett. Es war halt offensichtlich der verzweifelte Versuch, die Anlagen irgendwie finanziell nutzbar zu machen, zumindest teilweise.

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Nachdem ich mein Brot verdrückt habe, fahre ich erneut auf das Gelände. Diesmal habe ich keine Lust die Parkflächen anzusteuern und dann den weiten Weg zum Dom zu nehmen. Stattdessen parke ich einfach auf dem Gelände abseits, aber in Nähe des Doms. Auf dem Weg dahin kommt mir ein riesiges Wohnmobil entgegen. Na bitte schön, hab mich schon gewundert, wo die ganzen Wohnmobillisten denn wieder abgeblieben sind. Aber es bleibt nicht dabei, denn hinter dem riesigen Kasten kommt ein zweiter. Nun gut, sie fahren ja offenbar ja weiter. Kaum stehe ich auf der Fläche abseits des Doms, bemerke ich, wie sie mir gefolgt sind. Und sie scheinen sich hier einzurichten und die Nacht zu bleiben. Bin schon gespannt, ob es gleich Zoff mit den Angestellten gibt, aber nichts passiert. Selbst als diese mit den Fahrzeugen zum Teleskop fahren, um dort etwas zu machen, werden die Kollegen nicht angesprochen. Krass. Ich nehme auf jeden Fall mein Stativ und die Kamera und suche mir die besten Plätze zum Fotografieren aus. Einer befindet sich auf einer Plattform, die vor dem Dom aufgestellt ist und keine Ahnung, was in dem Kasten oben drin ist. Trotzdem schöne Aussicht und sehr guter Fotospot. Auf der Rückseite des Doms endet der Gipfelbereich. 

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Hier hat man eine atemberaubende Aussicht über Almería runter zum Mittelmeer, obwohl ich es heute nicht erkennen kann. Richtung Südwesten kann man sehr gut die Sierra Nevada sehen. Die Sonne steht kurz vor dem Untergang und als sie schließlich weg ist, verwandelt sich der Himmel in ein buntes Spektakel. 

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Die Wohnmobillisten klettern auf die umliegenden Granitfelsen und beobachten den Sonnenuntergang. Danach verschwinden sie schnell, denn offenbar haben sie die Kälte 🥶 und den Wind hier unterschätzt.

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 Vor allen Dingen ist der Wind wirklich krass. Erinnert mich wieder an vergangene Exkursionen auf La Palma. Denn dort hat es auch diesen erbarmungslosen Wind, der an allem rüttelt und wo sogar ein schweres Stativ mit Kamera durchgeschüttelt wird. Dies ist auch jetzt der Fall, denn ich erkenne an einigen Aufnahmen, die ich gerade mache, dass sie verwackelt sind. Nichts zu machen!

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Ich schieße also Fotos und mittlerweile ist es auch Ruckzuck dunkel. Ich will auf jeden Fall vor der astronomische Dämmerung abfahren, denn ich weiß gar nicht wie man bei dem Mietwagen das Standlicht einschaltet oder ob das überhaupt geht. Ich möchte hier niemanden bei der Beobachtung stören. Aber als ich dann schließlich fertig bin und wieder im Auto, sehe ich die Wohnmobilisten beim Abendessen und Festbeleuchtung, zumindest in den Innenbereichen. Abgedunkelt haben sie auch nichts. Tja, offenbar wird das auch toleriert. Ich bin zu dieser Zeit aber bereits wieder unterwegs Richtung Hotel, wo ich recht spät erst um 23 Uhr eintreffe.

[[<< Zurück zum Tag davor|20. Dezember 2022 - Sierra de Segura]] | [[Weiter zum nächsten Tag >>|22. Dezember 2022 - Campos de Hernan Perea]]

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/27730079088/in/datetaken-public/" title="Untitled"><img src="https://farm1.staticflickr.com/936/27730079088_7903c8a235_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Die südliche Sommermilchstrasse ist gut sichtbar.</div>

Bei der Ankunft vor zwei Tagen meinte die Wirtin, dass eine Gruppe aus Deutschland Zimmer bei ihr reserviert hätte. Leider haben sie kurzfristig abgesagt und die Reise wohl auf Oktober verschoben. Offenbar spricht sich langsam rum, dass es hier einen dunklen Himmel gibt. 

Wind ist angekündigt. Soll 25 km/h betragen und aus unterschiedlichen Richtungen kommen. Ich muss sehen, dass ich einen Platz finde wo ich mich verkriechen kann. Werde vermutlich wieder an der Viehtränke aufbauen. Alles Schmarrn. Windstill ist es, so wie es sein soll. Habe aber den Eindruck, dass es etwas kühler als gestern ist. Trage tatsächlich Daunenzeug, obwohl die Tiefsttemperaturen um +12 Grad Celsius liegen. Fühle mich aber so wohl.

Heute habe ich mir eine wahre Minkowski's Parade ausgedacht. Aufgrund des guten Seeings möchte ich wirklich kleine Objekte, die stark vergrößert werden können, probieren. Bis zur astronomischen Dämmerung vertreibe ich mir die Zeit mit der Seeingbeobachtung. Jupiter sieht zunächst schlecht aus. Antares flackert ganz schön. Richtung Zenit sieht es bei Deneb deutlich besser aus. Auch im Teleskop ist das zu erkennen. Nach etwa einer halben Stunde beobachte ich wieder Jupiter. Besser. Dann Saturn. Oha: Blickweise wird die Enke Teilung sichtbar. Dann wird das Seeing wieder etwas schlechter. Mit bloßem Auge ist zu sehen, das Antares sich beruhigt hat. Nur Sterne knapp über dem Horizont flackern. Offenbar ein lokaler und zeitlich begrenzter Effekt bis die Bodentemperatur ausreichend gefallen ist.

[[NGC 6309 - Box Nebel|NGC 6309 - Box Nebel mit 14 Zoll]]: Bei 65 fach sternförmig, als zweites Paar eines sehr engen DS sichtbar. Leicht verschwommen. Bei 420 fach schon gut zu sehen. Am Besten bei ca. 800 fach. Dann zeigt sich ein von der Grundform her ovaler Nebel, direkt auf einem Stern aufsitzend. Direkt westlich schwacher Stern zu erkennen. Der Nebel zeigt sich von einer Schale umschlossen, die aber nur im Norden ausgeprägt ist, und eine kleine Lücke aufweist. Direkt im Anschluss  wirken beide Nebelschalen in diesem Teil am hellsten und laufen jeweils nach Süden hin auf beiden Seiten diffus aus. Im östlichen Teil zeigt sich etwa mittig auf der Schale wieder ein heller Knoten. Zu beiden Seiten, d.h. Nördlich und südlich ist die Schale praktisch nicht existent. Im Süden zeigt sich schließlich ein heller Knoten, der über ein kürzeres Schalensegment mit einem weiteren etwas schwächeren Knoten verbunden ist. Die westliche Nebelschale ist praktisch inexistent. Im Innern ist der PN mit Nebel asymmetrisch gefüllt, wobei der hellste Teil im Norden liegt und dann als Fahne - zur Mitte hin schwächer werdend - bis an das südliche Ende reicht. Der ZS ist trotz intensiver Beobachtung leider nicht zu erkennen.

[[Minkowski 2-9]]: Bei 420 fach zeigt sich ein zigarrenförmiger Nebel mit hellerem Nördlichen Teil, der etwa die Hälfte des Nebels ausmacht. An den Enden spitz zulaufend, vor allem am schwächeren südlichen Ende. Mittig im helleren nördlichen Teil helles Zentrum, fast sternförmig. Seeing 1-2.

Die Bedingungen sind wieder gut. 21.83 im Zenit.

''NGC 6210'': Ausgefranster Nebel mit Halo. Bei 1200 fach glaube ich den ZS immer mal wieder blickweise zu erkennen. Um ihn herum verläuft ein Wollknäuel aus Schalen, die sich aber nicht wirklich gut und strukturiert separieren lassen. Nix für ungut, aber dass ist was für größere Gerät. Seeing 1-2.

[[Minkowski 1-32]]: Bei 65 fach sternförmig. Bei 290 fach flächig. Bei 800 fach zeigt sich ein kleiner, runder Nebel mit hellerem Rand. Rand wirkt unruhig. Inneres etwas dunkler, so dass sich ein Ring zeigt.

[[Humanson 1-1]]: Sieht fast wie M1-32 aus. Etwa gleich groß und ebenfalls ein kleiner Ring. Allerdings heller. Es zeigt sich ein kleiner, runder und heller Nebel bei 290 fach. Kann ohne Probleme bis auf 1200 fach vergrößert werden. Besser ist aber ca. 800 fach. Dann ist der Nebel definierter und es zeigt sich hier eindeutig ein kleiner Ring. Inneres ist gefüllt. Der Ring wirkt unruhig und es zeigen sich zwei gegenüberliegende hellere Kanten, was relativ schwer beobachtbar ist. 

[[Minkowski 2-55]]: Bei 290 fach und ohne Filter wird ein unscheinbarer, schwacher Nebel sichtbar. Denke sofort an einen Abell, da relativ groß. Reagiert gut auf OIII. UHC geht auch. Nebel wirkt unruhig. Am Seeing kann es nicht liegen, da der Nebel zu groß ist. Es zeigt sich abwechselnd die runde Form und dann wieder eine Raute. Bei 420 fach nicht Neues zu sehen. Nebel kann immer noch gut beobachtet werden. Interessantes Objekt.

[[Humanson 1-2]]: Bei 65 fach absolut sternförmig. Bei 800 fach wird ein kleines, helles X sichtbar. Nördlich und südlich längere Arme, ausgehend von den Enden. Mittlerer Balken nach Westen hin heller.

[[<<Zurück zur vorangegangenen Nacht|19. Juli 2017 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|22. Juli 2017 - Campos de Hernan Perea]]

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/um4Dxo" title="Untitled"><img src="https://live.staticflickr.com/65535/50170846566_0ec19f8c85_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script> Der Komet ☄️ steht knapp über dem Nordhorizont (rechts oben). Aufnahme mit STC-Multispectra Filter. Einzelbild mit einer Belichtungszeit von 15 min.</div> 

Die Wettervorhersagen springen von einem extrem zum anderen. Zunächst wird eine Zeit lang klarer Himmel vorhergesagt, dann wiederum Regen. Dann ergibt sich ein Mini-Wetterfenster für eine Nacht. Und das will genutzt sein. Mein Sohn und ich brechen daher auf und treffen später Mathias am Beobachtungsort. Wir fahren bei hohen Temperaturen in Frankfurt los und müssen feststellen, dass in der Rhön die Temperaturen noch nicht mal 20° C erreichen. Wir sind trotzdem guter Dinge und sehen, dass in der Langen Rhön die Schafe Einzug gehalten haben. Offenbar werden sie als natürlicher Rasenmäher eingesetzt. 

Die Bedingungen scheinen heute wirklich gut zu sein, denn als wir den Erdschatten aufgehen sehen ist dieser äußerst transparent zu erkennen. Die sich anschließende Dämmerung dauert zwar lange aber nicht mehr so lange wie noch vor einem Monat. Nach Mitternacht ist schließlich die astronomische Dämmerung erreicht und der Sternenhimmel sieht Mega gut aus. Die Milchstraße wird schon während der Dämmerung schnell sichtbar. Die Lichtbuckel sind heute sehr klein. Offenbar herrscht eine sehr gute Transparenz. Als es schließlich richtig dunkel ist, messe ich neben der Sommermilchstraße in dunklen Bereichen mit dem SQM–L Werte um 21.65. 

<div class="tc-link-info-item-flex-35" style="float:left; margin-right:15px; margin-bottom:10px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/747Yd6"><img src="https://live.staticflickr.com/65535/50148570511_3c69c65d13_h.jpg"></a>Saturn, Jupiter und die Sommermilchstraße und grünem Airglow.</div>

!C/2020 F3 (Neowise) im Feldstecher 

Und es steht der Komet Neowise noch mal im Fokus. Er zeigt sich deutlich lichtschwächer als noch Mitte Juli. Trotzdem ist er mit bloßem Auge eindrucksvoll zu erkennen und der Schweif zeigt etwa eine Ausdehnung von 10°. Wir beobachten ihn im kleinen Refraktor beziehungsweise im Feldstecher. Es zeigt sich ein heller Kern, der auch zunächst grünlich aussieht. Es ist noch so hell, dass vom Schweif nicht viel zu erkennen ist. Die helle Gabelung, die vor ein paar Wochen zu sehen war, ist verschwunden. Nun zeigt sich ein sehr heller Kern, der von einer Koma umgeben ist. Östlich geht der Staubschweif in einer – wie Mathias sagt – „Bugwelle“ seitlich ab und der Schweif biegt sich Richtung Norden. Deutlich zeigt sich der Ionenschweif, der einen schönen Kontrast zum hellen Staubschweif darstellt. Der Komet ist immer noch eindrucksvoll beobachtbar.

Das schlechte Seeing ist mit bloßem Auge bereits deutlich erkennbar. Mathias bestätigt das, als er schließlich mit seinem 10 Zöller beobachtet. 

!Milchstraße mit bloßem Auge und im Feldstecher 

Dann tauchen wir in die Milchstraße ab. Mathias ist mit dem Cirrusnebel und im „Quallennebel“ beschäftigt. Die Temperaturen sinken schließlich auf +6 °C. Erstaunlich, denn vorhergesagt sind tatsächlich +10 °C. Der Platz ist tatsächlich ein kleiner Eiskeller.  Das ganze fühlt sich aber nicht ganz so kalt an, denn die Luftfeuchtigkeit ist relativ niedrig. Trotzdem ist es immer wieder erstaunlich, wie kalt es an dieser Stelle hier immer wird. Praktisch hat man hier nachts in der Regel immer die selben Temperaturen. Winterausrüstung ist daher Pflicht. Im Sommer wie im Winter.

Ich bin mit dem Feldstecher in der Sommermilchstraße unterwegs. Die helle Schützenwolke ist mein Ziel. Sie erscheint im Vergleich zu Spanien deutlich dunkler, wie gedimmt. M24 und vor allem M8 sind mit bloßem Auge sehr gut zu erkennen. Die Schildwolke hingegen ist hell und M11 im Feldstecher sehr hell. Im Schwan ist der Nordamerikanebel sehr gut zu erkennbar. Insgesamt kann man sagen, dass bis ca. 60° über dem Horizont der Himmel aufgehellt ist, im Zenit jedoch sehr gut beobachtet werden kann. Dort ist es wirklich dunkel. Krass sieht auch „Barnard‘s E“ aus. Hintergrund ist sehr dunkel. Kommt sehr kontrastreich rüber. Hammer!

Es bleiben leider nur zwei Stunden Beobachtungszeit. Dann wird es wieder heller. Und in ein paar Wochen zum nächsten Neomond steigt die astronomische Nacht und damit die Beobachtungszeit auf das Doppelte an. Darauf freue ich mich schon.

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Die Unwetter ziehen schließlich ab. Bevor sie das tun, kommt es noch mal heute zu einem richtigen, fetten Gewitter mit Starkregen. Dummerweise trifft uns das Starkregenband direkt und zieht dann längere Zeit über uns weg. Das ist leider Pech, denn vielleicht 30 bis 40 km östlich beziehungsweise westlich fällt nicht ein Tropfen. Die angekündigten 5 l Niederschlag wurden um ein vielfaches übertroffen, so zumindest meine Schätzung. Das Wasser steht hier auf den Feldern und ich bin schon gespannt, wie es am Beobachtungsplatz aussieht. Wahrscheinlich ist einfach alles unter Wasser gesetzt. Mal gucken ob es sich so überhaupt beobachten lässt.

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Drei Nächte sind jetzt verloren gegangen. Es klart heute am Abend auf und soll auch die ganze Nacht klar bleiben. Für mich ist heute die letzte Beobachtungsnacht. Der Mond stört schon, denn er geht erst um 0:30 Uhr unter, d.h. ich verliere eine Stunde Beobachtungszeit am Anfang. Ich möchte diese Nacht tatsächlich durchziehen, so wie im letzten Dezember. Kofferpacken vor Ort wird allerdings nicht gehen, denn ich rechne mit starker Taubildung. Das bedeutet, dass Koffer auf der Fahrt nach Madrid zum Flughafen gepackt werden müssen. Ich denke jedoch, dass dies kein Problem sein wird, denn es sollte in einer Stunde gemacht sein.

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Der Beobachtungsplatz sieht insgesamt gut aus. Zwar haben sich abseits ein paar riesige Pfützen gebildet, aber am Platz ist ja ein Teil geschottert. Das kommt mir natürlich entgegen und es hat sich natürlich auch keine Wasserlache gebildet. Auf der Fahrt zeigt sich überall Wolkenbildung. Das wird in jedem Fall heute eine Wasserschlacht werden.

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Doch bevor wir zur Beobachtung schreiten, suche ich nach dem Hund. Aber irgendwie ist er nicht da, aber ein paar Schafe und Ziegen zeigen sich. Dann kriecht ein Allradfahrzeug den ausgewaschen Hohlweg hinauf. Es ist der Schäfer, den ich schon seit vielen Jahren zumindest vom sehen her kenne. Ich frage ihn, ob der Hund zu ihm gehört, was er bejaht. Er sollte eigentlich bei den Schafen sein. Bei Einbruch der Dämmerung höre ich ihn in weiter Entfernung bellen. Wahrscheinlich werden wir uns heute nicht sehen. 

Ich laufe noch ein wenig in der Gegend herum und bestaune die schöne Landschaft. Ich versuche sie in ein paar Fotos einzufangen, was ich aber schon beim Betrachten des Displays als „nicht gelungen“ einstufen muss. Für sowas muss man sich eben auch Zeit nehmen, das ist fast so zeitintensiv wie astronomische Beobachtungen. In diesem Fall heißt die Disziplin Landschaftsfotografie.

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!Was also heute beobachten?

Die Seeingvorhersage ist sehr gut. Von daher werde ich versuchen, weitere Planetarische Nebel zu beobachten, wenngleich ich schon fast alles auf diesem Gebiet abgegrast habe, vor allem, wenn man 14 Zoll Öffnung zugrunde legt. In Pausen beziehungsweise zwischendurch werde ich versuchen, mir die südliche Milchstraße anzuschauen und einfach nur zu genießen! Dabei soll auch der Feldstecher zum Einsatz kommen, der zwar dabei war, aber bisher nicht genutzt wurde.

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Fantastisch ist immer wieder der Aufgang der Sommermilchstraße.

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Tja, vor Ort stellt sich das Ganze nun doch anders dar. Das Seeing ist zwar nicht grottig, aber nicht so besonders, zumindest zu Beginn der Nacht, wobei es noch nicht vollständig dunkel ist. Das kann noch besser werden, aber nach diesem Mega Gewitter wahrscheinlich eher unwahrscheinlich. Dann schmeißen wir halt alles noch mal um. Ich könnte noch mal - das hatte ich sowieso noch mal vor - NGC 6960 beobachten und die Skizze überprüfen. Das gleiche gilt natürlich auch für M 27.

Doch zunächst warte ich auf den Monduntergang. Ich stelle zwar als erstes M 57 ein. Aber ich muss erkennen, dass bei 420x der Zentralstern kaum zu erkennen ist. Das Mondlicht überzieht die Landschaft mit einem kühlen Schimmer. Richtung Osten sieht man noch Blitze über den Himmel zucken. Ein paar verirrte Wolken ziehen auch hin und wieder durch. Dann klart es komplett auf.

!M 94 Nachschau 

Nur noch mal als Spaß eingestellt. Aber das Seeing ist wieder richtig gut! Ich halte jetzt auf die Galaxie mit 420x (Ethos 3.7mm) und entschließe mich dann doch aufgrund der Nähe zum Himmelspool das Pentax XP 3.8mm einzusetzen. Das Bild wird noch mal deutlich definierter und das Zentrum erscheint jetzt zweifelsfrei sternförmig. Der umgebene Ring ist jetzt auch richtig definiert und zeigt insgesamt vier längliche Knoten. Der sehr schwache Stern vor dem Galaxienkörper ist zweifelsfrei indirekt dauerhaft sichtbar.

!Abschied von M 101

Als Abschiedsgruss geht es noch mal zu M 101. Die Supernova ist ähnlich hell wie vor ein paar Tagen. Kein Unterschied festzustellen. Was jedoch heute wirklich gut sichtbar ist, ist der schwache Ausläufer des Spiralarms, der sich dahinter fortsetzt, um dann einen Knick zu machen und noch mal weit abgeht. Auch hier fällt der Abschied schwer.

SQM-L 21.63 im Zenit. SQM 21.46.

![[NGC 6842]]

Bei 65x, d.h. Übersichtsvergrößerung, bereits als schwacher, diffuser Glow im Sternfeld auszumachen. Plötzlich zieht alles zu und auch der Fangspiegel beschlägt in wenigen Sekunden. Hier ziehen gerade Wolken und Nebel durch. Wind kommt auf, wie man an den Bäumen gut hören kann. Ich greife noch mal zum Feldstecher und schaue mir noch mal M 101 an. Quasi im Rückspiegel! Die Galaxie ist sofort im Feldstecher als diffuser und ausgedehnter Fleck erkennbar, der kaum erkennbar zum Zentrum hin leicht heller wird. Fantastisch! Nach einer Pause geht es weiter. Versuche verschiedene Filter, so UHC und [OIII] funktionieren ganz gut, gefällt mir allerdings nicht so gut wie ohne Filter. Deshalb beobachte ich weiter ohne Filter. Mit den 6 mm Ortho ist der Nebel recht hell. Er wirkt unruhig und zur einen Seite hin diffus und etwas heller. Hier zeigt sich eine Art Sichelform. Gegenüberliegende Seite dunkler mit kurzem hellerem Bereich. Zentralstern blitzt immer wieder auf, habe aber den Eindruck, dass neben ihm noch circa zwei Sterne auf dem Rand liegen. Diese sind nur blickweise erkennbar und vermutlich noch einen Ticken schwächer als der Zentralstern. Seeing 1.

Leider ziehen immer wieder Wolken durch. Daher muss ich immer wieder pausieren. Das hört wohl bis zum Ende der Nacht nicht mehr auf. Es ist absolut windstill.

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![[Preite Martínez 1-333]]

Leicht aufzufinden, denn es steht direkt neben My Cephei. Ohne Filter kaum auszumachen. Mit Filter zeigt sich zunächst ein zartes Glimmen in der Nähe eines Sternpaars. Bei Steigerung der Vergrößerung zeigt sich schließlich ein V-förmiger Nebel mit Knoten an der Spitze. Optimale Vergrößerung scheint mir 168x zu sein. Bei 290x säuft der Nebel ab.

Ich wollte eigentlich ja noch die Sommermilchstraße „durchspechteln“. Jetzt steht sie schon tief und es ist bereits fünf Uhr. Die astronomische Dämmerung setzt bereits ein und es ist tatsächlich eine Wasserschlacht geworden, denn alles ist nass. Mal sehen, wie schnell das morgen trocknet und wie schnell ich es dann verpackt bekomme. Ich werfe noch mal einen Blick mit bloßem Auge auf die Sommermilchstraße und bin fasziniert: sie ist unglaublich hell, insbesondere im Schwan, so kenne ich sie nur von La Palma, beziehungsweise von Namibia unter besten Bedingungen. Offenbar hatte der Regen auch etwas Gutes, und hat für eine hervorragende Transparenz gesorgt. Wunderschöne Exkursion! Insgesamt gab es sechs Nächte, wenn man die mit Dano abzieht, sind es fünf produktive gewesen. Fünf von neun.

!Rückreise 

Die Rückreise gestaltet sich tatsächlich etwas stressig. Das liegt zum einen daran, dass ich um spätestens 18 Uhr am Flughafen sein sollte und zum anderen, dass ich natürlich recht müde bin. Dabei unterschätze ich auch noch die Zeit und mache fröhlich ein paar Fotos auf der Rückfahrt.

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Trotzdem komme ich pünktlich in den Flieger. Das liegt aber zum einen daran, dass mir Iberia kulanterweise nach der Stornierung des Rückflugs beim Checkin einen Platz in der Business Class zugewiesen hat, der es ja auch ermöglicht, die Fast Lane zu benutzen, was wirklich einen Unterschied macht. So komme ich etwas zerfleddert und zerzaust in Frankfurt am Abend an. Mittlerweile habe ich mich etwas erholt und die Frisur sitzt auch wieder. 😂

[[<< Zurück|18.-20. Juni 2023 - Bewölkte Tage & Nächte]] | [[Weiter zur Beobachtungsübersicht >>|Juni mal anders]]

Wieder mal sonnig und klar. Etwas kälter als die letzten Tage. Kaum Wind. Nachts sinken die Temperaturen auf +3 °C. 

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Der Mond wird diese Nacht kaum stören, da er bereits gegen 20:30 Uhr verschwunden sein wird. Trotzdem lohnt sich immer ein Blick auf seine Oberfläche. So ist er auch quasi das erste Objekt. Das zweite ist Jupiter.

Heute wende ich mich eher den Sternbildern Centaurus, Norma, Ara sowie Musca, um die wichtigsten zu nennen, zu. Doch zunächst schaue ich mir wieder die Große Magellansche Wolke an.

''NGC 1855, Globular Cluster in Dorado, 21.05.2015 19:10 Uhr:'' Einer der helleren Kugelsternhaufen in der großen Magellanschen Wolke. Im Außenbereich steht ein heller Stern. Scheint ein Vordergrundstern zu sein. Weitere schwache Kugelsternhaufen, die nicht in ~SkySafari drin sind, aber im 1° großen Gesichtsfeld zu sehen sind. Mit zwei weiteren Kugelsternhaufen bildet NGC 1855 ein gleichschenkliges Dreieck. Auf der langen Seite befindet sich auf circa ein drittel der Strecke der Kugelsternhaufen und etwas abgesetzt weiter unter ihm eine Sternwolke.

''NGC 4833, Globular Cluster in Musca, 21.05.2015 20:00 Uhr:'' Wenig spektakulärer Kugelsternhaufen in der Nähe des "Kreuz des Südens". Bei180 fach komplett aufgelöst. Nicht besonders groß. Form oval. Enden relativ ausgefranzt. Helle Sternen in Ketten angeordnet.

''IC 4296, Elliptical Galaxy in Centaurus, 21.05.2015 22:05 Uhr:'' Auffälliger als die aufzusuchende Galaxie NGC 5220. Oval und mit leichter Helligkeitszunahme zum Zentrum hin. Südlich etwa 8' direkt nebenan steht kleinere IC 4299.

''NGC 5220, Spiral Galaxy in Centaurus, 22.05.2015 23:10 Uhr:'' Schon vorher an der richtigen Stelle vermutet. Gut das ich aber insgesamt eine Stunde hier rum gesucht habe, denn so konnte ich die Position von NGC 5220 eindeutig bestimmen. Es zeigt sich eine relativ unscheinbare und kleine Galaxie. Sie verträgt sogar einiges an Vergrößerung. Bei 280 fach zeigt sich eine 1:3 elongierte kleine Galaxie mit hellerem Zentrum. Westlich etwa zehn Bogenminuten entfernt befinden sich die Komponenten A & B, die bei hundertfach als Paar nicht eindeutig wahrnehmbar waren. Jetzt aber bei 280 fach deutlich separiert sind und mit schwachem Stern ein kleines winziges gleichschenkliges Dreieck bilden. Hier stößt man ständig auf irgendwelche schwachen Galaxien. Wirklich eindrucksvoll. Das Seeing ist super!

''NGC 4650A, Spiral Galaxy in Centaurus, 22.05.2015 01:55 Uhr:'' Polarring Galaxie. Ist ein Begleiter von NGC 4650. Elongation circa 2:3 und ab 180 fach werden zwei etwa in NW- bzw. SE-Richtung senkrecht vom Zentrum ausgehende Polarringe sichtbar. NW-Teil einfacher zu sehen und hat am Ende einen helleren aufgesetzten Knoten. Die Polarringe sind sogar bei 280 fach zu erkennen. Besser jedoch bei 180 fach.

''NGC 5460, Open Cluster in Centaurus, 22.05.2015 02:00 Uhr:'' Bereits mit bloßem Auge sichtbar. Im Feldstecher etwa ein Dutzend unregelmäßig verstreute Sterne sichtbar. Wenig konzentriert. Bei 100 facher Vergrößerung im Teleskop kaum besser. Haufencharakter geht komplett verloren.

''NGC 5662, Open Cluster in Centaurus, 22.05.2015 03:10 Uhr:'' Wie NGC 5060 auch mit bloßem Auge sichtbar, allerdings schwieriger. Im Feldstecher wieder ein Dutzend Sterne sichtbar. Insgesamt ist der Sternhaufen länglich. Bei 100 fach im Teleskop ebenfalls nichts spektakuläres. Einige helle Sterne bilden ein "V". An der Spitze ist der hellste Stern des Haufens zu sehen.

''NGC 6188, Bright Nebula in Ara, 22.05.2015 3:15 Uhr:'' Nebel reagiert schön auf UHC-Filter. Dann zeigt sich ein riesiges Nebelgebiet, dass bei minimaler Vergrößerung das 1.2° große Gesichtsfeld sprengt. Südlich zeigt sich helle Nebelkante an die offenbar ein Dunkelnebelgebiet grenzt. Eine echte Augenweide!

''NGC 6164 & 6165, Bright Bipolar Nebula in Norma, 22.05. 03:20 Uhr:'' Dann fahre ich den Nebel ab und stoße auf ein sehr interessantes Objekt. Es handelt sich um ein recht hellen Stern, der von einem propellerartigem Nebel umgeben ist. ~SkySafari zeigt leider an dieser Stelle nichts an. Der Nebel gefällt mir so gut, dass ich schnell zum Stift und Papier greife, um ihn zu zeichnen. Auch eine Recherche am folgenden Tag brachte nicht viel. Beim Kaffee dann schließlich erklärt ein anderer Sternfreund, dass es sich hierbei um NGC 6164 beziehungsweise 6165 handelt. ~SkySafari konnte nun doch, zeigt ihn aber nur auf Anfrage an und nicht beim Zoom in das entsprechende Sternfeld. Ist schon ein bisschen peinlich. Für wen ist aber hier die Frage :)

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{{NGC 4650A}}

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![[NGC 6164 & 6165]]

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{{NGC 6164 & 6165}}

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''NGC 5823 & 22, Open Cluster in Circinus, 22.05.2015 03:25 Uhr:'' NGC 2823 ist ein kleiner unscheinbarer, runder offener Sternhaufen. Wenig konzentriert und schon im Feldstecher zusammen mit NGC 5822 sichtbar. Das Paar erinnert ein bisschen an das Pendant am Nordhimmel Hi und Chi Persei. NGC 5822 ist viel größer und noch weniger konzentriert. Beide enthalten schwache Sterne, so dass sie mit bloßem Auge nicht sichtbar sind. Im Feldstecher bilden Sie ein nettes Paar.

''NGC 6025, Open Cluster in Triangulum Australe, 22.05.2015 03:35 Uhr:'' Ebenfalls mit bloßem Auge als kleines Nebelwölkchen sichtbar. Im Feldstecher kompakt und recht hell. Form länglich. Im Feldstecher circa ein Dutzend Sterne. Bei 100 facher Vergrößerung im Teleskop lang gezogen. Form unregelmäßig viele Sternketten. Sieht vielleicht aus wie ein Vogel.

''NGC 6221, Spiral Galaxy in Ara, 22.05.2015 03:45 Uhr:'' Schöne Spiralgalaxie. Kann bis 280 fach vergrößert werden. Beste Ansicht allerdings bei 180 fach. Dann werden schön die zwei Spiralarme der Galaxie sichtbar. Helleres Zentrum. Nordwestlich liegt Galaxy NGC 6215.

''NGC 6067, Open Cluster in Norma, 22.05.2015 03:55 Uhr:'' Ebenfalls mit bloßem Auge sichtbar. Im Feldstecher kleines rundes kompaktes Nebelwölkchen. Einige wenige helle Sterne sind aber sichtbar. Bei 100 fach im Teleskop vollständig aufgelöst. Enthält viele helle Sterne. Schöner Anblick!

''NGC 6193, Open Cluster in Ara, 22.05.2015 04:10 Uhr:'' Eingebettet in den Nebel NGC 6188. Es zeigen sich weniger Sterne. Zwei davon sind sehr hell und stehen im Mittelpunkt des den Sternhaufen umgebenden runden Nebels. Der Nebel scheint aber bedeutend größer zu sein, da diffuse Nebelfetzen in der Umgebung zu finden sind.

''Corona Australis DN Complex, Dark Nebula in Corona Australis, 22.05.2015 04:00 Uhr:'' Ein Tipp von einem Mitbeobachter. Schon im Feldstecher ist der große Dunkelnebel sichtbar. Für das Teleskop fast zu groß. Dennoch beeindruckend.

''Halo von M57, Planetary Nebula in Lyra, 22.05.2015 5:10 Uhr:'' Ziel ist heute der schwache Halo von M57. Er wird sichtbar am besten mit OIII-Filter und maximaler AP, d.h. ein hundertfacher Vergrößerung. UHC-Filter geht auch. Mit dem Halo wächst der Nebel fast auf die doppelte Größe an. Das Ganze ist recht einfach zu sehen.

Die Astrofotografen kommen kurz vorbei. Ich stelle für Sie den Saturn rein. Alle sind begeistert. Schließlich verabschieden wir uns und beim zusammenpacken des gesamten Geraffels fällt mir auf, dass es leichten Tau gegeben hat. Sehr ungewöhnlich. Dies ist vermutlich auch der Grund, warum diese Nacht trotz identischer Temperaturen zur vorangegangenen Nacht, als deutlich kälter empfunden wurde. Bis ich alles zusammen gepackt habe, dauert es noch etwas und bin daher erst um 6:00 Uhr im Bett. 

[[Weiter zur nächsten Nacht>>|22. Mai 2015 Tivoli]]

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34658957690/in/datetaken-public/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4214/34658957690_763be6519c_c.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Immer wieder faszinierende Dämmerung mit enormen Gadienten.</div>

Klar. Seeing ist recht mies. Erstes Beobachtungsobjekt ist der Tarantelnebel in der LMC. Nach dem Abendessen geht es weiter mit NGC 2818.

[[NGC 2818]]: Bei 100 fach zeigt sich der PN in einem reichen Sternfeld eines offenen Sternhaufens. Bei Steigerung der Vergrößerung auf 670 fach werden zwei parallele Balken sichtbar, die zur Mitte Wulste nach Innen bilden und mit helleren Knoten versetzt sind. Innere ist mit schwachen Nebel gefüllt. Auf den Kanten zeigen sich Knoten und teilweise sehen diese tatsächlich gemottelt aus. Filter helfen hier kaum weiter.

Kollege kommt mich besuchen. Er möchte den Schlüssellochnebel sehen. Und so stelle ich ihn ein. Sehr gut. Danach M7. Wir staunen nochmal. Dann ereilen mich Rufe. Ich eile zum 20 Zöller. Flemming 1 ist eingestellt. Muss ich bei mir natürlich auch machen.

''Flemming 1'': Ovaler, heller PN, der bei 280 fach einen ZS zeigt und bei genauer Beobachtung hellere Schalensegmente. Bei 670 fach und an meinem 25 Zöller zeigt sich das westliche Schalensegment heller als das gegenüberliegende östliche. Auf dem östlichen Schalensegment zeigen sich symmetrisch zur Mitte abseits zwei helle Knoten. Inneres ist mit Nebel gefüllt, wobei mittig zu den beiden Schalensegmenten ein Teil des Nebelinnern - zu beiden Seiten konisch nach außen laufend - dunkler ist. Insgesamt zeigt der Nebel eine Fledermausartige Form. Echtes Highlight.

''NGC 3918'': Heller, runder, blaugrüner Nebel ohne irgendwelche erkennbare Struktur. Kann ohne Probleme auf 670 fach vergrößert werden, Zeigt mit OIII-Filter dünnen schwachen Halo.

Das SQM-L misst 21.63 in der Jungfrau. Dort ist es aktuell am dunkelsten. +3 Grad Celsius. Trotzdem ist es gut auszuhalten. 

[[Menzel 1]]: Runder Nebel schon bei 100 fach im reichen Sternfeld der südlichen Milchstraße gut erkennbar. Bei 670 fach und OIII-Filter zeigen sich ganz ähnlich zu Flemming 1 zwei gegenüberliegende, hellere, äußere Nebelschalen, die den Nebel scharf begrenzen. Nord- bzw. Südlich verschwindet die Nebelbegrenzungsschale fast vollständig und es zeigt sich hier das Nebelinnere, dass den Nebel diffus ausfüllt. Kein ZS Stern zu sehen. 

Das Seeing ist nicht überragend, wird aber vor Mitternacht bereits deutlich besser. Die Zeit vergeht im Flug und jetzt ist es schon schon 02:00 Uhr. Der Mond wird in einer halben Stunde leider schon wieder aufgehen.

[[Menzel 2]]: Sieht Menzel 1 ähnlich, zumindest was die Grundform angeht. Rund, scharf begrenzt durch hellere Nebelschale, die ebenfalls zu beiden Seiten durchbrochen ist. Nördliche Unterbrechung kleiner, dafür ist der westliche Bogen etwas größer. Scheint aber nach Norden hin selbst kurz unterbrochen zu sein. Kein ZS. Nach Norden hin geht eine zangenförmige Nebelfahne ab, die etwas kleiner als der Nebel selbst ist.

Der Mond ist da. Nur noch +1 Grad Celsius. Feuchtigkeit hat sich an einer Plastikfolie gebildet. Zeit ins Bett zu gehen!

[[<<Zurück zur vorherigen Nacht|20. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|22. Mai 2017 - Tivoli Astrofarm]]

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/mY6k89" title="Untitled"><img src="https://live.staticflickr.com/65535/50467354941_250415f934_h.jpg"></a> Wolken, Airglow und ein schlechter Himmel mit fast perfektem Seeing.</div>

Die Astrofotografen reisen heute ab. Wir gehen alle im nahegelegenen Bistro in der Nähe essen. Einige fahren heute noch mal auf den Roque, um Stimmungsaufnahmen zu machen. Es wird viel geredet und es werden schon wieder Pläne für die nächsten Astroaktivitäten geschmiedet. Doch zunächst gilt es heute noch was zu machen. Zumindest für mich.

Gegen Mittag zogen bereits erneut Wolken herein. Diese sind noch nicht mal vorhergesagt worden. Aber, da kann man wiederum nichts machen. Die Wolken ziehen schnell. Gegen Mitternacht soll es für ein bis zwei Stunden eine Lücke geben. Nix spektakuläres, denn der Himmel ist weiterhin seifig mit oder ohne Wolken. Ich fokussiere mich wiederum auf die Planeten oder auf helle Planetarische Nebel. Heute habe ich mal Lust auf den Saturnnebel.

Das Seeing ist Mega gut. Der Saturnnebel zeigt sich zunächst als rundes bis ovales Scheibchen. Bei geduldiger Beobachtung zeigt sich zunächst die längliche innere Schale. Senkrecht zu ihr steht eine weitere Schale, deutlich schwächer. Hellere Knoten an den Berührungspunkten, sowie am westlichen Ende. Zentralstern ist gar nicht so einfach sichtbar, blitzt aber sicher immer wieder auf. Ein wunderschönes Objekt. Als ich zu einer weiteren Steigerung der Vergrößerung ansetze, ist das Objekt herausgelaufen. Versuche noch neu zu positionieren, aber da sind im Gebiet bereits Wolken unterwegs. Daher bleibt es bei der ursprünglichen Beobachtung mit der Vergrößerung von 621 fach. Seeing 1-2.

Weiterer Wolkennachschub liegt auf dem Atlantik und wird auf dem Satellitenbild angezeigt. Ich mache noch einmal eine Aufnahme mit der Fotokamera, aber ich denke das hier ist durch. Und nach einem Bier und einem Gespräch mit einem Astrokollegen packe ich alles zusammen und gehe ins Bett. Es ist bereits 4:00 Uhr durch und mit Ende dieser Nacht ist auch der Astrourlaub beendet. Morgen sind nämlich Wolken vorhergesagt, und das schon seit vielen Tagen. Als ich dann am nächsten Morgen aufstehe, ist es tatsächlich soweit: die Sonne ist nicht zu erkennen, da dichte Wolken den Himmel einhüllen.

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Milchstraße in der Cassiopeia-Region. Aufnahme entstanden auf Athos aus mehreren Panels, die selber aus 8-10 Einzelbildern bestehen. 1min bei 1600 ASA mit Sony A6000 und STC-Filter belichtet.

<<<

Ein Fazit ist schwer zu fassen. Die Wolken haben auch diesen Urlaub wieder dominiert. Trotzdem bin ich zufrieden, denn ich habe mit einem sehr großen Gerät beobachten können und dabei ist vor allem das Seeing relevant. Auf Athos habe ich mich jederzeit sehr, sehr wohl gefühlt und insbesondere die kurzen Rüstzeiten genossen.

[[<< Zurück zur vorangegangenen Nacht|20. September 2020 - La Palma]] | [[Zurück zum Artikel >>|Es geht wieder los...]] 

Der Regen ist da und mit ihr die Feuchtigkeit. Wir haben den 21. September und das Soll für September ist gestern erreicht und sogar im Schnitt deutschlandweit überschritten worden. Das war auch bitter nötig nach der langen Trockenheit im Sommer. Leider führt das in der Folge direkt auch zu feuchten Nächten mit Nebelbildung, aber es geht in diesen Tagen auf den Neumond zu und gestern war’s auf der Wasserkuppe klar, wenngleich sich doch am Ende Nebel gebildet hat. Ist auch egal, denn diese Nacht habe ich ausgelassen. Aber heute geht es los und der Luftdruck steigt weiter. Da die Geschichte mit dem Nebel nicht ganz so klar ist, geht es heute direkt auf die Wasserkuppe, denn die ist mit circa 900 m hoffentlich hoch genug, um über den Nebel zu bleiben. Es soll sogar zwei Nächte geben, so dass ich auch ein Zimmer oben habe. 

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Um 21 Uhr bin ich am Schwarzen Moor. Alles ist aufgebaut und es ist ein wenig feucht und auch kalt. +5 °C und 85 % Luftfeuchtigkeit. Exakt wie vorhergesagt, das kann gar eigentlich gar nicht sein. Aktuell ziehen noch von Osten kommende Wolken durch. Die Transparenz ist heute absolut top.

Während der Dämmerung fange ich schon an ein paar Aufnahmen zu machen.

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Und eine halbe Stunde später entstand diese Aufnahme hier.

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!Pismis Moreno 1 & Sh 2-140

Bereits vor einem Jahr im Visier gehabt, aber mit 14 Zoll war nichts zu machen. Mit 21 Zoll versuche ich es erneut. Bei 83x wird schließlich mit dem OIII-Filter eine schwache Nebelkante in den Außenbereichen des recht hellen Sternhaufen sichtbar. Am besten bei 100x. UHC funktioniert auch gut, aber der OIII irgendwie etwas besser. Der Nebel kann direkt nicht gehalten werden, sondern muss indirekt beobachtet werden. Dann lässt er sich auch fast halten. Dennoch grenzwertige Beobachtung, aber am Ende doch sicher.

!R Aquarii 

Heute bei eindeutig besserem Seeing.  Es zeigt sich - insbesondere mit Filter - ein integralförmiger Nebel um einen recht hellen, rötlichen Stern. Am besten scheint der OIII-Filter zu funktionieren, denn er zeigt den Nebel kontrastreicher. UHC funktioniert auch, aber einen Ticken schlechter, wie ich meine. Interessanterweise kann man den Nebel sogar ohne Filter erahnen, wenngleich dies recht schwierig ist. Sehr schön, und im Vergleich zu der Beobachtung mit 25 Zoll in Namibia natürlich nicht vergleichbar. Keine langwierige Detailbeobachtung gestartet. Seeing gut, 2-3. 378x & 21 Zoll.

!Jupiter

Angespornt vom guten Seeing statte ich Jupiter einen Besuch ab. Sehr gut! Versuche zunächst mit 378x zu beobachten, aber das ist dann doch etwas zu viel. Besser sind die 231x, und dann wird der Planet rattenscharf. Allerdings verschwimmen die Konturen immer mal wieder für eine gewisse Zeit. Trotzdem sehr guter und schöner Anblick. 

!kleines Beobachtungsprojekt M 31 - Heute: [[Materiebrücke zu M 110|M 31 & M 110]]

Einfach unbeschreiblich! Man erkennt bei maximaler AP relativ einfach die Materiebrücke zwischen M 101 und M 31. Das entsprechende Feld ist auch so schön, denn es zeigen sich zwei ausgeprägte Dunkelbänder in M 31. Auf diese zustrebend, zeigt sich schließlich die Materiebrücke, die sie fast senkrecht trifft. Wunderbar auch in einem Feld zu sehen, wie hell der Kern von M 31 im Verhältnis zu M 110 ist. Habe sogar den Eindruck, dass die Kernregion eindeutig gelblich schimmert. Bei M 110 ist das parallel verlaufende Dunkelband gut erkennbar, allerdings die runde Dunkelstelle neben dem Zentrum kaum. Einfach tolles Gesichtsfeld und Objekte, was man mit Übersichtsvergrößerung schön erreichen kann.

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Mittlerweile ist das SQM-L auf 21.44 nach Mitternacht hochgegangen. Vorher waren die Werte recht schlecht: um 21.3. 

!M 33 

Ist wieder mal der Hammer. Schon mit dem bloßen Auge leicht erkennbar. Im Teleskop bei Übersichtsvergrößerung mega komplex.

!Uranus

Ist direkt mit bloßem Auge zu erkennen. Steht direkt in der Nähe zu 53 Arietis, der ebenfalls gut erkennbar und 6.1 mag hell ist. Uranus ist aber eindeutig heller. Bei 378x zeigt sich schließlich ein weißblaues Scheibchen ohne irgendwelche Strukturen. Mit geduldiger Beobachtung sind circa fünf sternförmige Objekte in seiner direkten Umgebung erkennbar. Ob es sich dabei um die Monde handelt, konnte ich leider nicht verifizieren.

Und mittlerweile werden Werte um 21.55 erreicht. Richtig gut! Man sieht es sogar an den Fotos die ich parallel mache, wo man direkt erkennen kann, dass der Himmel im Halbstundentakt dunkler wird. Was die Ursache ist, bleibt leider verborgen. Vermutlich die Beleuchtung. 

!IC 349

Sehr gutes Seeing! Trotzdem kann ich den Knubbel net erkennen. Macht mich mittlerweile richtig „fuchsig“ das Ding. Morgen versuche ich es erneut.

!IC 59 & 63

Wieder ein genialer Rausschmeißer. Schön groß, diffus und das Verbindungsstück zwischen beiden ist gut erkennbar. 

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Die Bedingungen sind mittlerweile so gut, dass man die Milchstraße von Horizont zu Horizont sehen kann. Mega! Leider hat bei der Aufnahme die Nachührung etwas versagt. Aber die außergewöhnlich guten Bedingungen sind dennoch gut erkennbar. Insbesondere ist unten auch die Lichtbrücke zu erkennen, die auf Jupiter zustrebt.

<<<

Plötzlich kommt ein Wagen auf mich zu. Es ist das dritte Fahrzeug in dieser Nacht, dass hier durch will. Es ist Mathias, auf den ich schon die ganze Nacht gewartet hatte. Wir waren eigentlich an der Wasserkuppe verabredet, da wir dachten, dass sich Nebel bilden würde. Als ich dort aber nach Sonnenuntergang eintraf, war am Platz ein umgebauter LKW gestanden und obwohl ich mit dem Fahrer nett ins Gespräch gekommen bin, bin ich doch wieder weggefahren. Das Risiko, dass nachts doch irgendwie Lampen angehen, wollte ich dann doch nicht eingehen. Habe Mathias natürlich noch eine SMS geschrieben, dass wir woanders beobachten werden, aber das hat er natürlich wieder mal nicht gelesen. Auch drei Anrufe brachten keinen Erfolg, aber jetzt ist er hier. Er berichtet, dass es auf der Wasserkuppe sehr gut gewesen sei und der Kollege mit dem LKW auch keinen Ärger gemacht habe. Na gut, jetzt sind wir wieder hier und ich packe ein. 20 Minuten später bin ich kurioserweise auf der Wasserkuppe, denn hier habe ich ein Zimmer gemietet. Um vier nach einem kleinen Bierchen bin ich schließlich im Bett und schlafe.

[[Weiter zur nächsten Nacht >>|22. September 2022 - Lange Rhön]]

Pünktlich zur Ankunft zogen von SW her dünne Zirren auf. Die aber nachts nur eine geringe Rolle spielen. 
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Bevor es zum eigentlichen Beobachtungsplatz ging, genoss ich wieder die herrliche Aussicht auf den Berg "La Sagra".

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Windig mit Spitzen um 30 km/h abflauend. Temperaturen mit dem Wind ein bisschen unangenehm, aber noch Ok. Auf dem Weg zum Beobachtungsplatz traf ich - wie häufig - auf Schafe. Der Besitzer war auch vor Ort und war wohl wegen der Unruhe, die ich hier rein brachte etwas mürrisch. 

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Beim Aufbau hat sich dann herausgestellt, dass der Justierlaser seinen Geist aufgegeben hatte und ich so ohne Kolli auskommen musste. Tags zuvor hat der Spiegel eine Reinigung erhalten, die er heute an schwachen Abell's zeigen sollte. 

Die Nacht begann gut, der Wind flaute ab. Erstes Objekt war zunächst Saturn. Bild machte einen guten Eindruck trotz fehlender Kolli. Die SQM-L Werte diese Nacht sollten durchschnittlich sein von 21.48-21.60.

*0:20 Uhr ''Sanduleak 2-263'' = ''Cn-2-1'' = ''Pk 356-04.1'': Bei 430 fach mit und ohne OIII erscheint an der richtigen Stelle ein nahezu stellares Objekt um einen schwachen Stern. Nur indirekt sichtbar. Unsicher, wird lieber nochmal angeschaut.

*01:20 Uhr - ''Abell 66'': Grosser runder Nebel. Nur indirekt bei 114 fach und OIII sichtbar. Nicht  ständig zu halten, aber dennoch eindeutig. Im Nebelgebiet sind trotz OIII einige Sterne zu erkennen. Die meisten sind sehr schwach, aber einer ist mit ca. 12 mag deutlich heller und gut zu erkennen. Er ist aber nicht der Zentralstern, sondern liegt etwa in östlicher Richtung im Nebelgebiet, auf etwa 3/4 der Geraden zwischen Zentrum und Nebelrand. Bei 168 fach und OIII ist der Nebel nur zu erahnen. Ohne Filter wird der Zentralstern auch nicht sichtbar. 21.48 im Pegasus Viereck.

*02:20 Uhr - ''Abell 60'': Nach ewiger Sucherei schließlich abgebrochen. Suchgebiet nicht gefunden.

Bei der Auswahl der folgenden Objekte hatte ich eigentlich vor HCG 97 zu beobachten. Da Sky Safari keine Hickson Gruppen kennt, behalf ich mir mit den Katalog Nr. der jeweiligen Galaxien. Hier hat es wohl einen Zahlendreher - oder was auch immer - gegeben, so dass IC 5358 in meiner Beobachtungsliste aufgenommen wurde.

*03:20 Uhr - ''IC 5358'': Sehr interessante Galaxie. Bei 114 fach zeigt sich eine relativ schwache, aber recht grosse, ovale und diffus auslaufende Galaxie mit Helligkeitszunahme zum Zentrum hin. Abseits des Zentrum in südwestlicher Richtung weitere viel kleinere Galaxie zu erkennen. Beide haben sternförmiges Zentrum. Weitere zwei kleinere Galaxien westlich zu erkennen, wobei eine sich als Paar (IC 5354) entpuppt. IC 5353 ist die dritte Galaxie im Bunde.

*04:30 Uhr - ''Pk 64-5.1''=''Campbell's Hydrogen Star''. Lange gezweifelt aber dann doch eindeutig. Bei 168 fach umgibt ein rötlicher Halo einen recht hellen gelb-rötlichen Stern. Bei 430 fach dann eindeutig. Bei gleich hellen Vergleichssternen zeigt dieser nicht so hell und groß.

Mittlerweile sollte der Mond aufgehen es ist kurz vor 5:00 Uhr. Trotzdem habe ich noch Lust weiter zu beobachten und so geht es ausschließlich zum nächsten Objekt.

*04:45 Uhr - ''Pease 1'': Dank einer Zeichnung recht gut aufgefunden. An der richtigen Stelle genau wie in der Zeichnung taucht mithilfe eines OIII der Nebel dann in nördlicher Richtung vom Zentrum des Kugelsternhaufen recht klar auf. 

Als ich zusammenpacke steht der Mond bereits hoch am Himmel. Die Wintersternbilder sind auch mittlerweile alle aufgegangen. Im Wald ist ein Wagen unterwegs in Richtung Feuerwache. 

Gegen Mittag steht ein Hotelwechsel an. Ich ziehe von Birx auf die Wasserkuppe um. Auf dem Weg liegt das Schwarze Moor. Ich mache einen kurzen Stop und muss erkennen, dass das Moorauge gut mit Wasser gefüllt ist. Gut für das Moor, schlecht für uns, denn Nebelbildung ist hier dann vorprogrammiert, vor allem im Herbst. 🍂 

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Bin erst spät am Beobachtungsplatz. Der ist ja eigentlich ein Parkplatz, und so steht auch hier heute ein Camper. Offenbar wird schon geschlafen. Deswegen versuche ich, möglichst geräuschlos aufzubauen und mich in einiger Entfernung zu positionieren. Ich hoffe nur, dass der nicht irgendwann genervt ist und wegfahren will, denn aufgrund der Platznot wird er an mir und dem Teleskop nicht mehr vorbeikommen. 🤨

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Das Wetter ist leider auch nicht gut. Eine hartnäckige Wolkenbank zieht durch und soll bis Mitternacht nerven. Mathias hat es natürlich im Vorfeld geblickt und taucht erst gegen 23 Uhr auf, als die astronomische Dämmerung bereits eingesetzt hat. 

![[Sh 1-89 - Mottennebel]]

Erneute Nachschau: heute sehr gut zu erkennen. Bereits bei 231x ohne Filter an der richtigen Stelle erahnbar. Mit [OIII] dann auffällig. Sieht praktisch aus wie ein Abell. Doch eigentlich sind es „zwei“. Die andere Seite des so genannten „Mottennebels“ blitzt hin und wieder auf. 

!Vyssotsky 1-2

Winziger Planetarischer Nebel. Kann mit Filter sehr gut heraus geblinkt werden. Leider zeigt sich aber trotz Geduld und hoher Vergrößerung außer einem sternförmigen Objekt nichts. Das liegt vermutlich am schlechten Seeing. 

Der Himmel ist heute klar schlechter als gestern. Er wirkt seifig: 21.29 mit SQM und 21.46 mit Linse. 

![[Sh 2-174]]

Hier wird eine niedrige Vergrößerung benötigt, denn dieses Objekt ist sehr lichtschwach. Es befindet sich in der Nähe des Himmelsnordpols, so dass man praktisch keine Nachführarbeit leisten muss. Bei 80x und ab von 6.5mm zeigt sich mit [OIII] schließlich ein schwacher, ovaler, spitz zu laufender Nebel neben einem recht hellen Stern. Dass es sich hier um etwas besonderes handelt, habe ich im Vorfeld im Forum [[DeepSkyForum.com|https://www.deepskyforum.com/showthread.php?1326-Sh-2-174-(OIII-and-H-Beta-Filter)]] gelesen. Wie dort beschrieben, zeigt sich der Nebel zwei geteilt und in der Mitte etwas dunkler. Dort hat auch Mathias berichtet, dass der Nebel mit Hβ zum Teil anders aussieht. Und tatsächlich: der Nebel wird noch mal deutlich schwächer und die Ränder deutlich definierter und der Innere Teil verschwindet. Dabei zeigt er sich örtlich leicht versetzt.

Interessant ist auch die Natur des Nebels, denn offiziell gilt er als PN. Einige Astronomen [[zweifeln jedoch daran|https://www.spaceimages.de/astrofotos/nebel/sh2-174]].

Mittlerweile drei Uhr und jetzt wird auch nichts mehr begonnen. Zwischendurch habe ich immer mal wieder Highlights angefangen. Dazu gehörten M 15, 13 und vieles mehr. Es handelt sich um die tatsächlich vorletzte Nacht, die beobachtet werden kann, wenngleich die Durchsicht mittlerweile deutlich abgenommen hat. Die nächste Nacht beobachte ich nicht, ich bin tatsächlich durch. Mathias und ich verabschieden uns und ich hoffe, dass der Camper trotzdem gut schlafen konnte. Ich fahre zur Wasserkuppe und übernachte dort. Wobei übernachten ist übertrieben denn der Wecker klingelt bereits um neun und ich bin erst um halbfünf im Bett.

[[<< Zurück zur letzten Nacht|21. August 2023 - Lange Rhön]] | [[Zurück zur Beobachtungsübersicht >>|Rhön im August 2023]]

Der Tag beginnt zunächst mit einem Ausflug. Es ist wunderbar klar heute und ich fahre mal wieder zu den [[Campos de Hernan Perea|22. Juli 2017 - Campos de Hernan Perea]], einer wunderbar ausgeräumten Kulturlandschaft, die bis auf circa 1850 m hinauf reicht. Dort hat man tatsächlich das Gefühl, nicht mehr auf der Erde zu sein. Die Landschaft gleicht dem Mond, beziehungsweise das, was man sich davon vorstellt. Dabei nimmt die Vegetation bis in die Hochlagen deutlich ab.  

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Vielleicht werde ich ja dort morgen beobachten. Hatte heute schon daran gedacht, es aber dann verworfen. Dabei wollte ich nach der Entdeckung, dass der [[Pinar jetzt quasi wieder „offen“|Pinar de Araceli (PDA)]] ist, mal endlich auf einer betonierten beziehungsweise asphaltierten Fläche stehen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/bUTv5LwEnh" title="Untitled"><img src="https://live.staticflickr.com/65535/52628542852_0c7548ce27_k.jpg" alt="Untitled"></a>

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/334oH2160V" title="Untitled"><img src="https://live.staticflickr.com/65535/52586952165_2a1c4865fa_k.jpg"></a>In den Campos de Hernan Perea steht auch ein riesiger Baum, der [[Pino Galapán|https://turismosantiagopontones.es/pino-galapan/]], 40m hoch und 6 m Stammumfang.</div>

Ich bin praktisch den ganzen Tag bis zum Mittagessen um 15 Uhr dort, und das erstaunlichste ist, dass mir praktisch kein Mensch begegnet. Wirklich kurios. Auf Nachfrage im Hotel wird mir gesagt, dass dies zu dieser Zeit nicht ungewöhnlich sei, denn die Schäfer, die dort oben arbeiten, sind mittlerweile in tiefere Lagen nach Jaén gezogen und kämen erst Ende Mai wieder zurück.

Ich fahre bis zu meinem Beobachtungsplatz vor fünf Jahren. Dieser liegt in der Nähe einer Schutzhütte. Von dort aus mache ich mich auf, um auf eine der umliegenden Berge zu steigen. Die Aussicht ist grandios. Sie wäre noch besser, würde ich hier am frühen Abend stehen. Aber die Autofahrt hierher ist recht abenteuerlich, denn die Straße ist nicht asphaltiert. Trotzdem kann man sie mit einem modernen Kleinwagen ganz gut bewältigen, muss allerdings auf Schlaglöcher und Mulden achten.

Dafür wird man mit einer grandiosen Landschaft hier oben belohnt. Auf einer Hochebene, die man schließlich erreicht, sind praktisch keine Bäume und keine Sträucher zu sehen. Das Land wird intensiv als Weidefläche genutzt. Eine unvergleichliche Kulturlandschaft, man glaubt tatsächlich nicht mehr auf der Erde zu sein. Im Sommer trifft man hier tatsächlich auf einige Menschen, vor allem Schäfer. Touristen gibt es hier praktisch oben keine. Ich parke schließlich und laufe einfach durch die Landschaft.

Nach dem Mittagessen will ich schließlich noch ein wenig schlafen und dann gegen fünf aufbrechen. Was dann passiert, verschlägt mir den Atem, denn ich sehe im Norden am nächsten Berghang eine riesige, tiefe Wolkenwand. Jetzt verstehe ich auch die spanische Wettervorhersage, die bis 23 Uhr tiefe und sehr dichte Bewölkung vorhergesagt hat. Ich reagiere und entscheide mich doch nicht zu fahren. Was für ein Fehler! Ich verfolge dann das Wetter live und muss erkennen, dass die Wolkenwand sich nach Norden hin auflöst! 

Das gibt es doch gar nicht! Beim Blick aus dem Fenster muss ich allerdings erkennen, dass der Himmel natürlich nicht perfekt ist. Zirrusbewölkung, welche die tiefe Bewölkung offenbar begleitet, hat den Himmel komplett überzogen. Ich kann mich jetzt auch nicht mehr aufraffen, loszufahren. Bleibt die Hoffnung auf morgen und übermorgen. Morgen soll es tatsächlich komplett klar sein.

Auf einem kurzen Abendspaziergang, der darin bestand, etwa 100 m die Landstraße raus aus dem Ort zu laufen, wo ich fast von einem Köter angefallen werde, zeigt sich tatsächlich, dass der Himmel total verzirrt ist. Richtige Entscheidung, obwohl die Milchstraße gut zu erkennen ist. Also eigentlich hätte man gut Planeten und auch Sternhaufen beobachten können. Nun gut, die Luft ist jetzt eh raus, und ich bin in letzter Zeit auch nicht mehr so hungrig und man muss auch mal an die Erholung denken! Schließlich bin ich im Urlaub! 

[[<< Zurück zum Tag davor|21. Dezember 2022 - Besuch auf dem Calar Alto]] | [[Weiter zum nächsten Nacht >>|23. Dezember 2022 - Campos de Hernan Perea]]

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Tagsüber war es nach einem wunderbaren Sonnenaufgang bewölkt. Aber es soll aufklaren und eine gute Nacht steht bevor. Auf dem Roque ist es zu windig. Der Wind hat von Nord auf Nordost gedreht, aber von seiner Stärke nichts eingebüßt. Am Haus ist es ruhig. Dennoch möchte ich heute in die Weinberge über Puntagorda oder noch höher zum "Reventón". 

Nach über neun Stunden Schlaf bin ich ausgeruht und guter Dinge. Am Reventón sind die Wolken noch sehr nah. Also höher. Am Ende der Feuerschneise weht ein heftiger Wind aber auf dem Weg geht es. Eigentlich. Prüfe den Platz direkt unterhalb dem Wasserreservoir. Wenn das bricht... Schließlich fahre ich doch wieder runter. Der Wind kann ja noch zulegen. Baue schließlich hinter einem Vorsprung fast am Ende, also am Reventón auf. Eigentlich ganz Ok. Oben tobt sich der Wind aus. Hier unten ist aber nix.

Nach Einbruch der astronomischen Dämmerung schnellt das SQM-L gleich auf 21.85 hoch und kommt die Nacht praktisch nicht mehr runter. +7° Celsius die ganze Nacht über. Trocken ist es auch. Und windig. 1600m üNN.

[[NGC 613]]: Schöne Balkenspirale. Sternförmiges Zentrum bei 114 fach und zentraler Balken, der nordwestlich und südöstlich ausgerichtet ist. An den Enden abgehende, etwas hellere Arme. Südöstlicher etwas heller. An beiden Armen setzen sich weitere schwächere Spiralarme fort. Südlich - etwas versetzt zum Zentrum - hellerer Knoten. Seeing ist nicht so gut aber phasenweise brauchbar.

[[NGC 1232]]: Helle, aber extrem komplexe Galaxie. Kann ohne Probleme bis auf 290 fach vergrößert werden. Es zeigt sich ein sternartiges Zentrum mit kurzem, hellen Balken. Relativ einfach wird der Begleiter NGC 1232A sichtbar. Es deuten sich einige Spiralarme an, in denen eine Vielzahl von Knoten sichtbar wird. Extrem komplexes Objekt. Mit UHC-Filter treten die Knoten deutlicher hervor!

[[HCG 26]]: Dünner Strich, der auf einen kleinen, helleren, diffusen Punkt zeigt. In der Nähe schwacher Stern. Abseits weitere kleine Galaxie sichtbar. Sehr schwer!
	
Das Seeing wird schlechter. Das Scharfstellen bereitet Probleme. Ok. Dann muss was großes her! 

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[[IC 410]]: Sehr groß bei 65 fach. Ohne Filter bereits gut auszumachen. Die schwächeren Bereiche werden aber mit UHC-Filter sichtbar.

Der Wind wird immer bedrohlicher. Er tobt sich jetzt hier aus. Zum Glück bin ich hier hinter dem Vorsprung recht geschützt. 

[[PK 173-05.1]]: Schon bei 65 fach ohne Filter schwach erkennbar. Mit OIII-Filter wird bei 114 fach ein recht großer runder Nebel sichtbar. Nördlicher Halbbogen deutlich heller. Insgesamt recht auffällig.

[[NGC 2022]]: Auffälliger, ovaler Nebel. Ohne Filter homogen und nur an den Rändern etwas heller. Mit UHC-Filter wird bei 290 fach eine Ringsstruktur sichtbar. Der Ring wirkt unruhig und zeigt mehrere hellere Segmente. Südlich heller fast sternförmiger Knoten, der sich nicht halten lässt, aber immer wieder sicher auftaucht.

Dass Seeing wird wieder deutlich besser. Mache nochmal ein Foto. Der Vergleich zum Anfang der Nacht zeigt, dass auch hier die Beleuchtung im laufe der Nacht zurückgefahren wird.

[[HCG 62]]: Zwei helle, ovale Galaxien NGC 4759 A & B werden bei 290 fach sichtbar. Haben beide sternförmige Zentren. Direkt daneben kleine längliche Galaxie 4761. Etwas abseits wird weitere kleine Galaxie NGC 4764 sichtbar. Relativ leichtes Objekt.

Zum Schluss noch Jupiter. Bei 290 fach werden Blickweise, bei gutem Seeing, viele Details sichtbar. Wow. Das Seeing ist also wieder sehr gut. Der Wind aber trotzdem stark, wenn er sich auch etwas beruhigt hat.

Halte auf der Rückfahrt am Reventón. Relativ ruhig. Unten in den Weinbergen. Windstill. Aber feucht. 

[[<<Zurück zum Artikel|La Palma im Januar]] | [[Weiter zur nächsten Nacht>>|23. Januar 2017 - La Palma]]

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/93RRSL"><img src="https://live.staticflickr.com/65535/49454216957_3055b7abd7_h.jpg"></a>Nachgeführte All Sky Aufnahme. Aufnahme gegen Mitternacht am 19.01.2019 auf dem Roque de los Muchachos (2200 üNN) ohne Filter. Der Himmel ist definitiv der beste Europas.</div> 

Um 19 Uhr, kurz nach Sonnenuntergang nieselt es auf dem Roque und ich warte darauf, dass es aufklart. Die Vorhersage, die Wolken angekündigt hat, passt also und eigentlich sollte heute nichts mehr gehen. Ich bin mit einem Beobachtungsfreund aus Los Llanos verabredet, der aber angesichts der Lage erst mal abwartet. Ich bin auch schon am verzweifeln, denn es ist 22 Uhr durch. Doch dann kann ich am Nordosthorizont einen hellen Stern sehen. Später erkenne ich, dass es sich um einen der „Kastensterne“ des großen Wagens handelt. Es klart also auf, aber nur langsam. Gegen 23 Uhr ist es dann klar, aber Wolkenbänke „rollen“ aus der Caldera kommend den Hang hinunter. Dann fällt die Luftfeuchtigkeit rasant und die Scheiben des Autos werden sofort klar. Die Türen lassen sich nur mit Mühe öffnen. So stark vereist sind sie. Während ich die ersten Astroaufnahmen mache und die Straße prüfe, stelle ich fest, daß Teile davon vereist sind. Keine Panik die niedrige Luftfeuchte lässt in ein paar Stunden das Eis sublimieren. So die Theorie.

Der Beobachtungsfreund kommt schließlich nicht und ich habe auch keine Lust groß aufzubauen. Ich wollte unbedingt ein Foto machen und das ist gelungen und im Kasten. Hintergrund ist die Tatsache, dass mir eine schöne, nachgeführte Aufnahme mit der modifizierten A6000 noch fehlt und ich zwar vorgestern eine fast perfekte Aufnahme gemacht hatte, dann aber feststellen musste, daß der Fokus nicht passte. 

<div class="tc-link-info-item-flex-50" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/zBxXo3" title="Untitled"><img src="https://live.staticflickr.com/65535/49456407076_566b9ced7c_h.jpg" alt="Untitled"></a>Aufnahme vom 25.01.2020 mit dem STC Multispectra Clip-Filter. Das Bild ist deutlich ruhiger und die HII-Regionen kommen besser durch. Die Belichtungszeit mit Filter verdoppelt sich fast.</div>

!!Neuer Clip-Filter STC Multispectra wird ausprobiert 

Ich habe mir nämlich einen Clip-Filter für die Kamera gegönnt, die es zwar kurz vor Weihnachten vom Zoll in meinen Briefkasten geschafft hatte, aber da war ich schon im Weihnachtsurlaub. Es handelt sich dabei um einen Lichtverschmutzungsfilter klassischer Art. Hier gibt es aber sowas wie Lichtverschmutzung kaum, doch habe ich gelesen, dass er deutlich zur Verbesserung des Bildes beiträgt, da er zu einen die typische Verschiebung des Rotkanals aufhebt bei besserer HII-Empfindlichkeit. Und das stimmt tatsächlich. Praktisch kann ich jetzt nach dem experimentell eingestellten Weißabgleich (der wurde hinter dem Häuschen in La Palma an einer Steinmauer gemacht) die Fotos direkt aus der Kamera ohne irgendwelche Nachbearbeitung laden. Früher ging dies nur mit einem manuellen und aufwendigen Weißabgleich. Die Bilder sehen jetzt aus wie zu alten guten chemischen Zeiten. Der Hintergrund ist auch ruhiger, da weniger blaue und rote Pixel zu sehen sind (sind das Cosmics?).

Ich hatte mich mal für eine astromodifizierte Sony A6000 (APS-C) entschieden. Günstig, kleine aber gute Objektive erhältlich. Chip wird nicht durch das Bajonett vignettiert (wie bei den Sony-Vollformaten) Viel leichter und kompakter als Vollformat. Leider gibt es Clip-Filter für diesen Kameratyp nicht, außer von STC. Leider. Den gibt es dann auch nur beim Hersteller in Taiwan oder Online in Hongkong. Warum ich das erzähle? Weil meiner Erfahrung nach das Fotografieren mit astromodifizierten Kameras nicht so einfach ist. Mit so einem Filter ist es praktisch kinderleicht. Wie damals mit Film, z.B. dem Kodak E200.

!!Am Ende baue ich doch auf

Die erste Messung mit dem SQM-L zeigt Werte um die 21.98 an Top! Seeing ist lt TNG bei 0.7“. Und da will ich nicht aufbauen? Baue also doch auf. Um 01:33 Uhr steht alles bereit. Plötzlich sehe ich direkt - und nicht aus den Augenwinkeln - einen hellen Meteor in Richtung WHT fliegen. Spektakulär! Helle Leuchtspur mit Fahne zu Beginn, dann dunkler und wieder heller werdend, um schließlich als Feuerball farbig zu verglühen. Die Kamera mit dem 190 Grad Fisheye ist gerade fertig und macht den Dunkelbildabzug. Hat sie also nicht gesehen. Gibt es doch gar nicht! Aber der Meteor müsste auf der All Sky Kamera des IAC drauf sein. Blöde Frage: Warum mache ich hier eigentlich eigene Aufnahmen?

Ich beobachte mal wieder M81 und im gleichen Gesichtsfeld stehend kurz auch M82. Das Seeing ist bei 178x nicht gut und bricht später komplett ein. Dennoch verschaffe ich mir eine Übersicht, die mir bei der Reinzeichnung helfen soll. Ich lasse meinen Blick über die Galaxie schweifen und versuche die genaue Lage der Spiralarme zu erkennen. Unter diesem Himmel kein Problem.

Wind kommt aus Ost. Kurz auffrischend. Aber dann lange Zeit nix. -1 °C. Winterklamotten habe ich zum Glück dabei und bin froh darüber. Habe extra vor einer Woche auf die Wettervorhersage gehört und das dickste Zeug eingepackt. Was soll ich jetzt den bitte beobachten? Ich mache mit M81 weiter und schaue nach weiteren Details. Das SQM-L misst im Schnitt jetzt 22.0. Mega Himmel!

Und es wird wieder feucht. 90% Luftfeuchte. Damit ist das Fotografieren vorbei, denn alle Objektive laufen sofort an. Hier zieht feiner Nebel durch. Mal sehen, wie lange das visuelle Equiment durchhält, d.h. Fangspiegel und Okulare. Das Seeing ist auch eingebrochen. Richtig schlecht. Am Anfang war es nicht besonders gut, das hat man schon bei mittleren Vergrößerungen schon gesehen. Egal ich mache noch IC 466 aka IC 2167. Geht aber nicht mehr, denn Okular und Fangspiegel sind beschlagen.

<<<.tc-big-quote
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Hier das Ergebnis des Orion Mosaiks. Details gibt es [[hier|Orion Digital Deep Field]].
<<<

Das wird nix mehr. So packe ich zusammen und bilde mir ein Wolken im Norden zu sehen. Ist aber nichts. Später dann aber doch. Richtig gesehen. Sie ziehen aus Nordost schnell kommend über den Himmel im Norden. Auf dem Satellitenbild hatte ich gesehen, daß die nächste Wolkenbank unterwegs ist. Nun ist sie wohl da. Auf der Wasserkuppe sind lt. Wetterstation 30% Luftfeuchte und Megafernsicht. Angenehme +1.5 Grad Celsius. Verkehrte Welt. Trotzdem ist der Himmel hier um Welten besser.

[[<< Zurück zur vorangegangenen Nacht|19. Januar 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|23. Januar 2020 - La Palma]] 

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Heute bin ich an einem komplett anderen Platz. Ich bin nach Don Domingo gefahren, was von La Matea, wo ich bin, etwa eine Viertelstunde entfernt ist. Dort finden wohl auch die Aktivitäten von [[AstroAndalus|http://www.astroandalus.com]] statt. Hier endet auch jede asphaltierte Straße. Hinter dem Dorf geht es in die Sierra über Pads.

Nach sieben Kilometern, vorbei an einem wegen seiner enormen Höhe berühmten Nadelbaum, schleiche ich über die steinigen Wege bis ich in die Hochlagen der unbewohnten Sierra komme. Weiter will ich nicht. Bin hier auf 1750m üNN und obwohl eine Schutzhütte in der Nähe ist, verzichte ich und baue weit abseits im nirgendwo auf. Ich war letztes Jahr schon mal hier. Aber erst jetzt habe ich mich hierher gewagt. Um es vorweg zu nehmen. Dies ist kein Ort den ich öfter aufsuchen werde, da die beschwerliche Anfahrt über die Pads nichts für mich ist. Wer hier seinen Wagen ruinieren will, kann gerne hier her kommen. Auch für Touristen mit Wohnmobil gar nicht geeignet.

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Es ist die zweite Nacht, die absolut windstill ist. Etwas unheimlich. Dazu trägt auch die Umgebung bei: Kein Strauch, kein Baum weit und breit. Bin ich noch auf der Erde?

[[Peimbert-Costero 21]]: Kleiner, runder Nebel bei 290 fach. Erscheint zunächst homogen. Reagiert auf OIII. Bei 420 fach und OIII wirkt der Nebel unruhig. Bei 800 fach und ohne Filter zeigt er sich zigarrenförmig, mit stellarem Knoten im nordwestlichen Teil. Symmetrisch gegenüber ebenfalls schwächerer Knoten. Der hellere kann indirekt knapp nicht gehalten werden. Der schwächere blitzt nur hin und wieder auf. 

[[Minkowski 3-31]]: Bei 290 fach wird an der richtige Stelle ein stellares Objekt sichtbar. Könnte auch ein Stern sein. Reagiert sehr gut auf OIII. Vergleichsstern einige Bogenminuten südlich ist mit OIII fast gar nicht mehr zu sehen. Der PN hingegen sehr gut. Vergrößerung auf 420 fach zeigt nichts Neues. Der PN bleibt weiterhin absolut stellar.

Das Seeing ist wieder der Hammer, vor allem so knapp über dem Horizont. Der direkt in der Nähe befindliche Stern HD 172987 ist nämlich ein DS, dessen Komponenten nur 1.7" auseinander sein sollen (Quelle: ~SkySafari) und im Teleskop sind sie eindeutig und satt separiert. Ohne Brille stehen jetzt auch alle Sterne absolut still. Nix wackelt, außer schon tief stehende. 

Noch ein Wort zum neuen Standort: Dieser ist leider __nicht__ besser als der Pinar de Araceli. Im Gegenteil. Es werden Lichtglocken im Westen sichtbar, die von Jaen und Cordoba stammen könnten. Liegt mit Sicherheit auch an den durchziehenden hohen Wolkenfeldern. Insgesamt zeigen sich kleine Lichtbuckel fast überall am Horizont. Einzig die ausgeräumte Landschaft scheint wie aus einem Planetariumsprogramm geschnitten. Mittlerweile weht der typische Ostwind. Absolut nicht störend.

''Pluto'': Der Asteroid steht ganz in der Nähe. Außer einem kleinen stellaren Objekt ist nichts zu erkennen. Pluto ist aber bei 290 fach ein recht einfaches Objekt.

[[Minkowski 4-11]]: Kleiner, runder Nebel bei 290 fach. OIII bringt nicht viel, so dass ich ohne Filter beobachte. Optimale Vergrößerung bei 420 fach. Dann zeigt sich bei geduldiger Beobachtung ein scharf abgegrenzter, gefüllter Nebelring. Östlich und Westlich auf dem Ring können zwei stellare Objekte erkannt werden. Das östliche ist heller und kann indirekt recht gut gehalten werden. Westliches immer wieder sicher aufblitzend. Beide sind auch bei 290 fach und OIII Filter zu erahnen. Bei dieser Vergrößerung ist die Ringform auch schon angedeutet. Inneres mit Nebel gefüllt. Kein ZS zu sehen.

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Es ziehen immer wieder kompakte Zirruswolken durch. Da immer wieder lange Unterbrechungen folgen, lässt es sich trotzdem ganz gut beobachten. Der Himmel ist aber heute deutlich heller, als die Tage zuvor.

[[Minkowski 1-80]]: Bei 290 fach wird ein homogener, winziger aber recht heller Nebelball sichtbar. Kann bis auf über 1000 fach vergrößert werden. Bei gutem Seeing deutet sich ein hellerer Rand an. Blickweise sind auch zwei, Nord-Südlich ausgerichtete, gegenüberliegende Knoten, sowie einer östlich zu erkennen. Der Nebel bildet mit einem weiteren Stern ein Trapez. Einer der Sterne ist ein Doppelstern. Die Ausdehnung des Nebels ist etwa der Abstand dieses Paars. Seeing 1-2.

Bei der Nachschau kommen mir doch auch Zweifel. Das Seeing ist schlechter als gestern, wobei es aber blickweise für 1-2 Sekunden fast perfekt ist. Die Strukturen werden dann sichtbar und verschwinden wieder. Alles Einbildung? Ich bin mir nicht sicher und werde morgen hoffentlich noch Klarheit schaffen können. Morgen deshalb, da es wieder mal bewölkt ist und ich für heute genug habe. Es ist mittlerweile auch halb fünf und die Nacht praktisch wieder rum. 

Das Seeing war anfangs gut, wurde aber zusehends schlechter. Hat vermutlich was mit den durchziehenden Wolkenfeldern zu tun. <!-- Meteoblue.com sagte zunächst korrekterweise schlechteres Seeing vorher. In der letzten Vorhersage aber perfektes. Das stimmte natürlich nicht wirklich und die Wolken waren auch kein Thema. 2:1 für Meteoblue. Mal sehen, was heute kommt.-->

Die Rückfahrt dauert ohne Ende. Als ich fast im Dorf ankomme, steht ein Reh am Weg. Und später sogar mitten auf der Straße ein anderes mit seinem Jungen. Will gar keinen Platz machen. Schließlich verschwinden sie beide doch im Feld.

[[<<Zurück zur vorangegangenen Nacht|21. Juli 2017 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|23. Juli 2017 - Pinar de Araceli]]

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Weitesgehend klar, nur im Westen hohe Wolkenbank. Die sollte eigentlich nicht weiter stören. Sieht insgesamt sehr schön aus.

Heute habe ich ein wahres Beobachtungsbrett vor mir. Alles das, was ich zuvor vertrödelt hatte, muss heute und morgen schließlich beobachtet werden. Darüber hinaus wird es die bisher mit Abstand transparenteste Nacht. Das SQM-L wird 21.89 im Mittel in der Coma Berenices messen. Interessanterweise lassen sich diese Bedingungen auch visuell mit bloßem Auge nachvollziehen. Darüber hinaus auch an Objekten wie den Antennen-Galaxien. Der Himmel vor Mitternacht enthält nur wenige sehr dunkle Spots. Herausragend sind zwei: Einer circa 45° über dem Horizont in Richtung SSE und der andere in NNW. Vor und nach Mitternacht sind dort die Sternbilder Pavo und Indus bzw. die Coma Berenices und später die Corona Boreales zu erkennen. Dem Skorpion vorangehend ist ein große ovale Aufhellung, der Gegenschein klar und deutlich zu erkennen. Vor Mitternacht ist insbesondere auch die Lichtbrücke gut sichtbar. Sie teilt den Himmel zusammen mit der Milchstraße in mehrere Abschnitte. Interessanterweise finden sich aber die dunkelsten Bereiche in den oben angegebenen Regionen.

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''NGC 2818, 18:50 Uhr:'' Unscheinbarer Sternhaufen am Rande der südlichen Milchstraße. Hellerer Stern im Zentrum von dem aus Sternketten abgehen, die ein kleines Kreuz bilden. Am westlichen Rand befindet sich ein kleiner relativ heller, runder bis ovaler Nebel. Eine Hantelform deutet sich bereits bei 120 facher Vergrößerung an. Bei über 700 facher Vergrößerung zeigt sich tatsächlich eine Hantel circa Nord-Süd ausgerichtet. Zu den Enden wird der Nebel auf beiden Seiten heller, wobei die südliche einen helleren Knoten aufweist. Reagiert auf OIII-Filter. Beste Ansicht allerdings ohne Filter.

''Gamma Velorum, 20:50 Uhr:'' Schönes Vierfachsystem. Komponenten A & B sind sehr hell. C SAO 219505 & D SAO 219506 etwas schwächer.

''NGC 2899, 21:10 Uhr:'' Kleiner hantelförmiger planetarischer Nebel. Zusammen mit schwächeren Nebelteilen oval und diffus auslaufend. Zentralstern einfach sichtbar.

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''Gum 23, 23:10 Uhr:'' Großer und relativ heller Nebel. Wird am besten bei hundertfacher Vergrößerung und UHC-Filter sichtbar. Befindet sich südlich von FZ Velorum. Hellerer Bogen Ost-West ausgerichtet und zu den Enden heller hin werdend. Im westlichen Teil hellerer nierenförmiger Nebelknoten.

''NGC 4038 & 39, Antennengalaxie, 23:20 Uhr:'' Die Antennen sind am besten bei minimaler Vergrößerung und maximaler AP (6.25 mm) sichtbar. Dann können Sie relativ leicht indirekt verfolgt werden. Der südlich abgehende Bogen ist etwas einfacher zu erkennen und auch besser zu verfolgen, obwohl er durch recht helle Vordergrundsterne "unterbrochen" wird, die ihn überstrahlen. Beide sind eindeutig flächig. Habe sie heute zum ersten Mal so einfach gesehen. Die Bedingungen sind außergewöhnlich gut. 

Ein kurzes Fazit zu den Gezeitenschweifen: Der von NGC 4656 ist am einfachsten zu erkennen, gefolgt von NGC 4038 & 39 und am schwächsten bei NGC 4038 & 39.

''NGC 4361, 23:35 Uhr:'' Ovaler Nebel mit relativ hellen Zentralstern. Aus dem Nebel ragen jeweils zwei Propellerenden heraus. Der Propeller ist Nord-Süd ausgerichtet. Nördliches Ende scheint etwas heller zu sein. Zur Mitte hin, das heißt zum Zentralstern hin, wird der Nebel deutlich heller. Nach außen diffus auslaufend mit relativ gut definiertem Rand.

SQM-L 21.89 im Mittel 45 Grad über dem Horizont. Höchste Wert, den ich jemals gemessenen habe.

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''M16 - "Säulen der Schöpfung", 0:30 Uhr:'' Heute ist das Seeing sehr gut. Deshalb werden noch mal die Säulen der Schöpfung eingestellt. Und ich werde nicht enttäuscht: Die drei Säulen können tatsächlich bei 280 facher Vergrößerung sehr gut visuell verfolgt werden.

''NGC 5101, 2:35 Uhr:'' Spindelförmige Galaxie mit recht hellem Zentrum. An den Enden jeweils helle Knoten sichtbar. Helligkeitszunahme zum Zentrum hin. Zentrum recht hell. Parallel zur Galaxie zeigt sich ein gebogener, schwacher Nebel an dessen einen Ende etwas abgesetzt ein kleiner linsenförmiger Nebel steht. Dies ist vermutlich eine Hintergrundgalaxie, die aber nicht in ~SkySafari identifiziert werden konnte. Der gebogene Nebel scheint der hellste Teil des Polarrings zu sein und lässt sich ca. 90° verfolgen. Blickweise kommt ein weiteres 90° Segment hinzu.

''PGC 49050, 03:05 Uhr:'' Ovale recht große Galaxie an deren einem Ende ein Vordergrundstern steht. Nach geduldiger Beobachtung wird das Innere der Galaxie unruhig und wirkt gemottelt. Es tauchen schließlich blickweise immer wieder leicht hellere Knoten auf, insbesondere eine Struktur, die 90° gegen die Längsrichtung der Galaxie versetzt erscheint und sich etwas abseits des Zentrum befindet. Insgesamt sehr interessante Galaxie. 

''NGC 6072, Planetary Nebula in Scorpius, 3:30 Uhr:'' Bei 100 facher Vergrößerung zeigt sich bereits ein kleiner, heller, runder Nebelball. Bei 280 fach zeigt er sich oval mit helleren Strukturen im Inneren. Bei 690 fach Vergrößerung zeigt sich der innere Teil hantelförmig und gemottelt. Kein Zentralstern.

''NGC 6139, 03:50 Uhr:'' Kleiner recht unscheinbarer Kugelsternhaufen bestehend eher aus schwachen Sternen, Der aber bei 280 Vergrößerung bis ins Zentrum in aufgelöst werden kann. 

''NGC 6729, Bright Nebula in Corona Australis, 4:10 Uhr:'' Dreieckiger Nebel an deren Spitze ein recht heller Stern steht. Darüber hinaus gibt es jeweils zwei Doppelsterne die jeweils in einen Nebel eingebettet sind. Die Nebel zeigen gekämmte Strukturen und wirken am Rand ausgefranzt. Die jeweils andere Nebel sind NGC 6726 & 27.

''NGC 6723, Globular Cluster in Sagittarius, 04:20 Uhr:'' In direkter Nachbarschaft zu NGC 6726. bereits bei hundertfach komplett bis ins Zentrum in aufgelöst. Form oval.

''M54, Globular Cluster in Sagittarius, 04:30 Uhr:'' Sehr kleiner Kugelsternhaufen mit starker Helligkeitszunahme zum Zentrum hin. Trotz 690 facher Vergrößerung kann das Zentrum nicht aufgelöst werden, sondern lediglich die Außenbereiche.

''IC 5152, 04:25 Uhr:'' Indus Dwarf. Spindelförmige Galaxie an deren langem Ende ein heller Stern steht, der die Beobachtung stört. Deutliche Helligkeitszunahme zum Zentrum ein. Insgesamt ist die Galaxie recht hell, so dass sie auch bis 280 fach vergrößert werden kann. Diffus auslaufend. Am östlichen Ende zeigt sich dann recht deutlich eine dreieckige Verformung des Galaxienkörpers mit einer leicht gebogenen Spitze, als hätte jemand an der Galaxie gezupft. 

''IC 5148, 4:35 Uhr:'' Runder planetarischer Nebel bei 100 fach. Es zeigt sich ein kleiner Rauchring. In der Mitte nicht vollständig dunkel. Bei 280 fach zeigt sich schließlich der Zentralstern. Die hellen Nebelteile wirken an zwei Seiten etwas flacher. Insgesamt scheint der Nebel aber noch von einer schwächeren Nebelschale umgeben zu sein.

[[Weiter zur nächsten Nacht>>|23. Mai 2015 Tivoli]]

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Wieder klar. Seeing sieht heute besser aus. Aber Abwarten. Heute ist die Transparenz offenbar noch mal deutlich besser. Während der Dämmerung schauen wir uns den Doppelschattendurchgang & Transit auf dem Jupiter an. Man erkennt deutlich, dass der eine Schatten größer als der andere ist. Bei den Monden handelt es sich um Io und Europa. Io wieder mit Transit und Schattendurchgang. Europa nur mit Schattendurchgang. Io selbst ist wegen des nicht ausgekühlten Spiegels / schlechtem Seeings nicht zu erkennen. Schade. Dann den Doppelstern Alpha Centauri eingestellt: Zwei enge Komponenten, würde sagen weiß, wobei eine etwas kleiner ist, sind gut zu erkennen. Bei 670 fach sind sie gut separiert.

Erstes richtiges Objekt ist wieder der Tarantelnebel, der heute weiter gezeichnet werden soll. Dann geht es nach dem Abendessen noch mal zu Jupiters Geist. Heute geht es bei gutem Seeing um die inneren Strukturen, d.h. die Strukturen Innerhalb der innersten Schale, in dessen Zentrum der ZS zu finden ist.

''Jupiter's Geist - Strukturen der inneren Nebelschale'': Es sind keine eindeutigen filigranen Nebelstrukturen im Innern der Schale um den Zentralstern zu erkennen. Blickweise sind hellere Formationen zu erahnen, insbesondere im Nord- bzw. Nordwestlichen Teil. Dort erscheint einfach das Innere mit Nebel gefüllt, wo hingegen der östliche Teil deutlich dunkler erscheint. Blickweise erahnbar sind hin und wieder dünne, filigrane, gerade Nebelbalken, die von dem hellen Knoten im Süden bzw. dem anderen Knoten im Norden auf den ZS zu laufen. Dies kann aber leider nicht sicher bestätigt werden, so dass es sich bei diesem Detail nicht im eine sichere Beobachtung handelt. Was hingegen sicher beobachtbar ist, ist der östliche dunklere Teil bis hin zur begrenzenden Nebelschale, sowie klare, diffuse Nebelbank im Süden und Westen, die sich wie eine Wurst, um die Schale nach innen zum ZS hin, legt. Beste Beobachtung mit 670 fach. Bei 1000 fach hingegen gehen die Strukturen im Nebel leider verloren. Seeing gut, aber nicht sehr gut.

[[IC 4406]]: Bei 100 fach kleiner Nebelball. Bei 670 fach sehr hell. Es zeigt sich nach geduldiger Beobachtung ein diffuser Ring mit tangentialen, parallelen Balken, die diffus auslaufen und am Ende konisch auf einander zulaufen. Sie bilden die Begrenzung zweier diffuser Fahnen. Westlich bildet schließt der hellere innere Teil mit einer konkave Form ab. Östlich hingegen zeigt sich ein geradliniger Balken. UHC und OIII bringen kaum einen Vorteil. Daher auch ohne beobachtet.

Die Temperatur ist jetzt auf den Gefrierpunkt gefallen. Lässt sich trotzdem ohne Wind gut aushalten. 

''NGC 5882'': Bei 100 fach runder, unscheinbarer, blauer Nebelball, der von den Feldsternen kaum zu unterscheiden ist. Bei 670 fach hell, rund und ohne Struktur. Reagiert auf OIII-Filter.

[[NGC 6072]]: Bei 100 fach schon als diffuser, ausgedehnter Nebelball sichtbar. Bei 670 fach und 450 fach zeigt sich in unmittelbarer Nähe des Nebels ein schwacher Stern. Der Nebel selbst ist hantelförmig. Nördlicher Teil nahezu homogen mit stellarem Knoten oder Stern mittig, südlicher ist mit hellerem Knoten, gefolgt von einem schwachen Stern auf dem Nebelrand bis man schließlich, kaum wahrnehmbar, auf eine Fahne stößt, die in Richtung Zentrum zeigt und in der sich wieder ein stellarer Knoten befindet. Mitte scheint trotzdem mit diffusen Nebel gefüllt. Nebelfilter helfen bei der Beobachtung leider kaum.

Der Mond ist mittlerweile wieder einmal aufgegangen. Ich mache trotzdem noch eine Stunde weiter. Aber jetzt ist Schluss.

[[<<Zurück zur vorherigen Nacht|21. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|23. Mai 2017 - Tivoli Astrofarm]]

Noch ist alles grün in der Rhön. Kühe und Schafe weiden immer noch die Wiesen ab. 

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Unten ist die Start- und Landebahn des Flugplatzes auf der Wasserkuppe zu sehen.

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Blick von der Wasserkuppe nach Nordwesten.

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Klar mit abziehenden Wolken. Vorhersage ist nicht besonders gut, denn es sollen im Laufe der Nacht hohe Wolken reinziehen. Leichter Wind aus Südost, +5 °C. Der Himmel ist leicht seifig. Mathias ist heute da, ebenfalls mit 21 Zoll. 

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Erstes Objekt M13. Zweites Objekt hi & Chi Perseii, IC 59 & 63.

!Sh 2-71

Kleiner Nebel, gut erkennbar schon bei 83 fach, aber nur mit Filter. Mit OIII-Filter zeigt er sich dann recht strukturiert und kann auch höher vergrößert werden. Höchste sinnvolle Vergrößerung 378x. Dann zeigt sich ein fast geschlossener, mit unterschiedlich hellen Stücken versehener Ring. Mathias spricht in dem Zusammenhang von einem „J“. Westlicher Teil diffus auslaufend.

!Saturn

Zeigt sich relativ gut trotz variablen Seeings. Insgesamt können wir sechs Monde erkennen, wobei vier wie fast an einer Perlenschnur aufgereiht unterhalb des Planeten zu sehen sind. Sieht echt interessant aus.

Während der Dämmerung entsteht das unten aufgenommene Foto.

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!Jupiter

Bei relativ gutem Seeing und 238x können wir auf dem Planeten recht viele Details ausmachen. Der große rote Fleck ist zu erkennen und ist orange bis eigelbfarben. Die umliegenden Bänder sind ebenfalls gelborange und zum Teil sehr detailreich. Als sie noch etwas besser wird, vergrößern wir auf 378x. Das ist auch die Grenze, wo das Ganze nicht zu matschig wird. Insgesamt eine sehr schöne Beobachtung. 

!R Aquarii

Heute noch mal eingestellt. Bei 238x und mal mit Filter und mal ohne können wir schließlich sowohl den Halo um den Stern und den nach ca. fünf Uhr abgehenden „Jet“ erkennen. Gegenüberliegender bleibt für Mathias schwierig, aber hin und wieder dennoch erkennbar. Insgesamt trotzdem eine schwierige Beobachtung. Filter der am besten wirkt ist der UHC. Aber auch ohne kann man es versuchen. Seeing ist recht gut.

![[Henize 2-438 - Campbell's Hydrogen Star|Campbell's Hydrogen Star - Erste digitale Zeichnung]]

Zeigt sich unauffällig im Sternfeld. Bei höherer Vergrößerung von etwa 540x zeigt sich der Stern deutlich größer als vergleichbare Sterne in der Nähe. Blickweise ist auch schon in Momenten guten Seeings ein winziger Ring um einen recht hellen Stern zu sehen. Bei tausendfach zeigt sich dann ein runder, heller Ring. Seeing 2.

!NGC 770 & 772 = Arp 78

Schönes Paar interagierender Galaxien. Eine ist groß, diffus mit hellerem Zentralbereich und großem Spiralarm, der mindestens zwei diffuse Knoten zeigt. Etwas abseits steht die kleinere 770 recht unauffällig. Ein Gezeitenschweif verbindet beide. Leider bin ich recht platt und investiere kaum Zeit und Geduld in dieses schöne Objekt.

!Uranus

Heute zeigt sich der Planet bei noch besserem Seeing schöner. Trotzdem sind natürlich keine Details erkennbar. Heute sind wieder an der gleichen Stelle entweder zwei Sterne oder zwei Monde erkennbar. Es müssten eigentlich noch mehrere erkennbar sein, aber leider nichts.

!Mars

Mathias erwähnt Mars. Natürlich ist er am Himmel zu sehen und zwar sehr prominent direkt neben Antares. Beide leuchten und strahlen bei fast identischen Farbindex um die Wette. Mathias möchte, dass ich Mars einstelle. Zunächst maule ich rum, weil ich einfach platt bin und kein Bock mehr habe irgendwas einzustellen. Ich doziere mal wieder, das es natürlich keinen Sinn machen würde, denn Mars sei ja aktuell viel zu klein. Am Ende mache ich es doch und muss bei 238x erkennen, dass ich mal wieder unrecht habe. Es zeigt sich tatsächlich ein winziges orangefarbenes Scheibchen und es zeigen sich sogar recht gut die Oberflächenstrukturen, die gräulich schimmern. Mathias ist recht angetan und schwafelt was von „Asti“, was wohl als Witz gemeint war. Mars zeigt tatsächlich auch eine ausgeprägte Phase.

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!IC 349

Trotz intensiver Beobachtung und extrem hoher Vergrößerung kann der „Knubbel“ nicht erkannt werden. Echt frustrierend.

Die Zirren haben uns fest im Griff. Ich mache parallel noch Fotos, aber leider sind viele von ihnen verzogen. Shit! Denn mit den hohen Wolken zeigen die Sterne schöne Halos. Keine besonders dunkle Nacht. 21.3 praktisch die ganze Zeit über.

[[<< Zurück zur vorangegangenen Nacht|21. September 2022 - Lange Rhön]]

Klar mit wenig Wind, zum Teil auch komplett windstill. Seeing ist die ganze Nacht über bombastisch. 

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Feldweg zum Beobachtungsplatz

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Der Beobachtungsplatz

Erstes Objekt soll wieder Sanduleak 2-263 sein. Irgendwie habe ich an diesem PN einen Narren gefressen.

*22:45 Uhr - ''Sanduleak 2-263'': So einfach geht es: Mit OIII wird der Zielstern deutlich heller im Vergleich zu anderen Feldsternen. Am besten bei 430 fach. Südwestlich scheint sich eine Fahne anzudeuten, die bis zur Hälfte zu einem Nachbarstern zeigt, der aber nur hin und wieder zu erahnen ist. Der Stern ist aber so schwach, dass der diffuse neblige Eindruck von ihm stammen könnte. Interessantes Objekt, Campbell's Hydrogen Star nicht ganz unähnlich, wenn auch mit 2" etwas kleiner. 

*02:20 Uhr - ''Abell 60'': Zunächst per Starhopping versucht. Wieder wie gestern abgebrochen, da zu schwierig. Feld positioniert und anschließend bei 114 fach mit OIII. Interessanterweise fiel mir nach relativ kurzer Zeit eine kleine Sternengruppe auf 3-4 Sternen auf von denen drei recht gut indirekt zu sehen waren und etwa nord-südlich verliefen. Irgendwie scheinen diese Sterne von einen sehr schwachen Nebel umgeben zu sein der auch immer wieder aufblitzte. Vergleichsbeobachtungen an ähnlich hellen Sternengruppen bestätigten dies. Lediglich das genaue Sternfeld konnte zunächst nicht identifiziert werden. Dies gelingt dann aber anhand der Vergleichskarte. Position des identifizierten Nebels passt genau zur Kartenposition.

Ich beschließe das gute Seeing noch mehr zu nutzen. Ausgeguckt habe ich mir einen planetarischen Nebel, den blauen Schneeball. Mit einer Barlow und dem 3.7 mm Ethos rücke ich dem schönen Stück zu Leibe.

*03:07 - ''NGC 6946'': Der Klassiker zusammen mit ''6939'': Am schönsten bei 56 fach zusammen in einem GF. Der Haufen ist wunderschön anzusehen und bis ins Zentrum aufgelöst. Die Feuerradgalaxie zeigt ihre diffusen aber hellen Spiralarme. Und dies vor dem Hintergrund der auslaufenden Milchstrasse.

*03:30 Uhr - ''Uranus'': Bläulich-weißes Scheibchen. Schon bei 56 fach als Planet erkennbar. Zeigt bei 430 fach zwei Monde. Schon mit blossem Auge direkt sichtbar!

Um 6:00 Uhr habe ich alles zusammen gepackt und die astronomische Dämmerung ist auch schon zu Ende.

Bin heute wieder in die Campos de Hernan Perea gefahren. Irgendwie zieht mich dieser Ort magisch an. Hatte eigentlich vor, woanders zu beobachten, denn es ist Wind vorhergesagt. Am Ende zieht es mich doch dahin, um vor allen Dingen auch zu prüfen, ob es möglicherweise mit dem Wind doch gut gehen wird. Am Ende bin ich wieder so fasziniert, dass ich beschließe, hier nachts zu beobachten.

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Ich bin diesmal auch noch weiter mit dem Auto gefahren als bisher, d.h. bis zur dritten Schutzhütte, an der sich schließlich eine Art Tierpark anschließt, der auch eingezäunt ist. Dort ist beobachten mit Sicherheit verboten. Wie auch immer, das ist eigentlich auch viel zu weit weg und die Piste ist auch hier viel zu schlecht. 

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Hier an der Schutzhütte ist auch das erste Mal ein Schild aufgestellt, dass Feuer machen explizit verbietet. An der ersten Schutzhütte ist das nicht der Fall, vermutlich, weil es auch weit und breit keine Vegetation gibt, weder Busch noch Baum und sogar noch nicht mal Gras. In den Schutzhütten selbst sind aber Kamine eingebaut. Leider sind die Hütten im Innern so verwahrlost, dass man sich darin tatsächlich nicht wirklich aufhalten möchte. Schade eigentlich. Das war in anderen Zeiten, also früher vermutlich anders. Ich habe mal in so einer Hütte in der Sierra Nevada übernachtet und das war ein wirkliches Erlebnis. Kein Vergleich zum verwahrlosten Zustand dieser Gebäude. Von außen sind die Gebäude im übrigen top gepflegt.

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Ich fahre wieder zurück zum Hotel. Esse was und ruhe mich noch mal aus. Dann bin ich pünktlich zum Sonnenuntergang an der ersten Schutzhütte, wie vor fünf Jahren. 

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Ein bisschen Bammel habe ich wegen der Schafe. Klingt komisch bis man weiß, dass sie von Hunden „geführt“ und bewacht werden. Als ich heute unterwegs war, bin ich auf einen Schäfer getroffen, der mich lustigerweise gefragt hat, wo seine Schafe seien. Ich hatte was gehört und signalisiere die Richtung. Gesehen habe ich seine Schafe allerdings nicht. Später als ich wieder vorbeikomme, sind die Schafe tatsächlich dort und er hat sie auch gefunden. Allerdings kläffen mich seine Hunde an und auf Nachfrage meint er, dass sie auch beißen würden. Ich solle vorsichtig sein. Daher bin ich etwas unsicher, ob es eine gute Idee ist, die Nacht hier zu verbringen, denn der Schäfer versichert, dass die Hunde 24 Stunden bei den Schafen seien. 

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Deshalb baue ich auch in der Nähe der Schutzhütte auf, denn notfalls kann ich ja noch rein laufen. Oder ins Auto. Wie auch immer, das wird schon ganz gut gehen. Die Bedingungen sind gut, der erste Blick durch das Okular zeigt, dass das Seeing gut aber nicht perfekt ist. Egal, so ist das halt.

Leider habe ich hier oben mit dem Handy keinen Empfang. So kann ich auch nicht schauen, wie sich die Wolken entwickeln, denn es handelt sich heute um durchziehende Zirren. Morgen soll es dann an Weihnachten total klar sein. Das wird dann auch die letzte Nacht sein. Heute habe ich vor durchzuziehen. Ob ich das letztendlich werde durchhalten, wird sich zeigen. Langsam tauchen die ersten Sterne auf. Magische Stimmung. Der Wind lässt komplett nach. Luftfeuchtigkeit ist um 77 %. Temperatur circa +5° C.

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!Jupiter

Jupiter ist tatsächlich das erste Objekt. Das Seeing wird schließlich besser und sogar richtig gut. Zumindest in Momenten. Beginne auch eine Zeichnung, denn der große rote Fleck (GRF) ist gut zu erkennen. Direkt unter ihm sind etwa drei hellere Blasen erkennbar. Faszinierend! Leider bricht das Seeing am Ende ein. Stelle zwar noch mal Mars ein, aber das bringt es leider auch nicht.

Laevens 3 steht leider schon zu tief. Wäre echt lustig gewesen, den noch mal zu beobachten.

!R Aquarii 

Diesmal mit 14 Zoll. Schwierig, denn zunächst stelle ich intuitiv den falschen Stern ein. Es ist der helle, der bereits mit bloßem Auge zu erkennen ist und im Teleskop rötlich schimmert. Das ist HR 8987 (oder HD 222643, SAO 165841, BD -16 6345, HIP 116957, TYC 6404-0993-1) 😂 R Aquarii steht etwas nordöstlicher und zeigt auch keine Farbe und auch keine keine rötliche,  zumindest im 14 Zöller. Es handelt sich eher um einen sehr unscheinbaren Stern. Taste mich mit der Vergrößerung zunächst ran, bis ich dann schließlich bei 168x lande. Probiere, [OIII] und UHC, und werde schließlich mit UHC fündig. Um den Stern wird von circa zwei Uhr nach acht Uhr ein leicht versetzter Nebel sichtbar, in dessen Mitte R Aquarrii steht. Fertige eine Skizze an bezüglich der Orientierung. 
Insgesamt muss man sagen, dass es eine grenzwertige Beobachtung ist, wenngleich, der S-förmige Nebel dann doch immer wieder sichtbar wird. Ist indirekt nicht zu halten. Hatte auch keine Ahnung, welche Orientierung er aktuell genau hat. Habe mich am Anfang etwas abgemüht, wobei es am Ende denke ich eine sichere Beobachtung ist. Hintergrund ist wahrscheinlich die Tatsache, dass im Zielgebiet ganz feine Zirren unterwegs waren. Die sind jetzt aber abgezogen. Trotzdem sehr schwer. SQM-L 21.64 Zenit, 21.36 im Zielgebiet. Jupiter steht nördlich in sehr deutlichem Abstand entfernt, trotzdem interessant, aber tatsächlich unwichtig.

Am folgenden Tag checke ich die Zeichnung und die Orientierung des Nebels passt. Deshalb ordne ich das als korrekte Beobachtung rein.

!Nachschau zu [[M 1|M 1 - Krebsnebel]]

Heute bei wesentlich besseren Bedingungen kann ich doch die Strukturen mit [OIII]-Filter erkennen. Hatte sie eigentlich schon vor ein paar Tagen gesehen, aber sie als Überstrahlung, der auf dem Rand befindlichen Sterne eingestuft. Dies ist aber definitiv nicht der Fall und eines der hellen Filamente beginnt neben einem dieser Sterne. Insgesamt kann ich drei Filamente eindeutig erkennen. Zwei weitere ploppen hin und wieder auf. Lässt man das Auge indirekt den Nebel durchstreifen, so tauchen immer wieder sehr feine spinnennetzartige Strukturen auf. Leider lassen sich diese nicht halten und dauerhaft verorten, so dass sich der Eindruck einstellt, dass diese möglicherweise nicht real sind. Sind sie aber doch!

Der Pulsar ist allerdings nicht zu sehen. An der richtigen Stelle wird hin und wieder ein Stern sichtbar, das kann aber nicht mit Sicherheit gesagt werden, denn er blitzt nur hin und wieder auf und bei einer Nachschau Minuten später, zeigte er sich gar nicht mehr. Im Grunde genommen müssten sich ja zwei Sterne zeigen. Das tun sie auf gar keinen Fall.

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!Galaxienhaufen [[Abell 539]]

Vor drei Jahren beziehungsweise eigentlich vier schon mal beobachtet. Diesmal habe ich eine Zeichnung angefertigt. Es handelt sich um einen Galaxienhaufen, der unweit von einem der Kopfsterne des Orion steht. Man sollte hier auf jeden Fall stärker vergrößern, um tatsächlich alle beziehungsweise viele Galaxien sehen zu können. In meinem 14 Zöller bedeutet dies 168x, wobei ich allerdings mit 80x und dann mit 114x begonnen habe, wobei sich dabei nicht alle Galaxien zeigen. Insbesondere die schwächeren müssen tatsächlich stärker vergrößert werden, um im Gesichtsfeld aufzufallen. 
Sehr schöner unscheinbarer Galaxienhaufen, der im reichen Sternenfeld des Orion liegt. Geprägt wird dieser durch zwei Galaxien, die deutlich heller sind. Eine davon ist zigarrenförmig, die andere hingegen linsenförmig. Alle weiteren  Galaxien sind unscheinbar. Keine der Galaxien hat ein sternartiges Zentrum. Helligkeitszunahme zum Zentrum hin ist auch bei den helleren Galaxien kaum vorhanden. Insgesamt kann ich sieben Galaxien erkennen. Eine steht unweit eines helleren Sterns, und kann nur bei 290x von diesem getrennt werden. Damit sind dann acht Galaxien sichtbar.

Erst im Nachhinein stellte ich fest, dass das Gesichtsfeld viel zu klein ist und vermutlich weitere Galaxien sichtbar sein sollten. Da muss ich noch mal ran.

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![[Mars|Mars am 24.12.2022]]

Ich investiere wieder Zeit in die Planeten. Ich schaue noch mal nach Mars und  ich werde nicht enttäuscht. Er zeigt sich sehr detailreich, leider allerdings viel zu kurz, dann wird das Seeing wieder schlechter. Aber es sind in kurzen Momenten ganz feine Oberflächenstrukturen bei 420x zu erkennen. Ich halte auch noch Ausschau nach dem Mond Deimos, aber der steht zu nah am Planeten, der die Umgebung im Teleskop soweit überstrahlt, dass der Mond nicht sichtbar ist.

Mittlerweile ist es genau 4:00 Uhr. Wir haben weiterhin leichten Südwestwind und eine Luftfeuchtigkeit von 44 % bei +7 °C. Trotzdem ist mir Arschkalt. 🥶

!!Snacks für zwischendurch

Jetzt schaue ich mir ein paar Sachen an. Natürlich wieder M 42, M 46 und M 47 aber auch 51. Bin begeistert, insbesondere von M 51 und den Strukturen.

![[NGC 2163]]

Im reichen Feld der Wintermilchstraße kaum auszumachen. Dann aber auf den zweiten Blick bei Übersichtsvergrößerung erscheint um einen recht unscheinbaren Stern ein Halo. Kann bis auf 290x vergrößert werden und es zeigt sich dann ein kometenartiger Nebel. Der Stern steht dabei in mitten eines helleren Balkens, von dem ein weiterer diffuser, dunklerer abgeht. Dieser wirkt zeitweise wie eine Fahne. Interessantes Objekt.

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Jetzt ist es fast fünf Uhr. Und ich glaube jetzt sollte ich Schluss machen. Zwar ist erst um 6:30 Uhr Dämmerung, aber ich denke ich sollte es heute noch nicht übertreiben, denn heute gibt es eine weitere Nacht. Die Wintermilchstraße hat sich schon über den Westhorizont gelegt.

Der Himmel heute war gut, aber trotzdem durch hohe Bewölkung geprägt. Aber jetzt sind die Wolken weg, trotzdem zeigt sich immer noch hin und wieder ein seifiger Eindruck.
Die Rückfahrt dauert doch länger als gedacht. Schließlich bin ich nach einer Stunde Fahrt im Bett und es ist mittlerweile 6:30 Uhr. Also fast durchgezogen, denn die astronomische Dämmerung fängt tatsächlich um diese Uhrzeit an.

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Wieder am Reventón, an der Einfahrt zur Feuerschneise. Noch ist es hier bewölkt, also weiter hoch. Lande wieder am Ende auf ca. 2000m am Wasserbassin. Zu windig. Immer das gleiche. Also wieder runter. An meinem Platz von gestern ist es mir auch noch zu heftig. Also stehe ich auf dem schwarz geteerten Platz auf 1500m. Der gefällt mir auch sehr gut. Wolken verschwinden. Es geht erstmal mit einem Pano los. Ich hatte bisher den Eindruck, dass due Bilder zu dunkel sind. Ist mir gestern und vorgestern schon aufgefallen. Aber nix. Alle Einstellungen an der Kamera stimmen. Scheint der Himmel zu sein!

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Dann als ich richtig anfangen will, kommen die Wolken zurück. Mist! Bestimmt eine Stunde geht verloren, dann ist es wieder klar. Wir haben ca. 22 Uhr. Ich beschließe mit Cassiopeia A ein exotisches Objekt anzufahren. Dann sehe ich sehr helles Licht von unten kommen. Zu nah, als das es jemand sein könnte, der hier wohnt. Oh, je er bleibt an der Nachbarauffahrt hängen. Reifen quietschen. Durchdrehen. Dann schafft er es. Stehe so,dass man mich wenn man weiter hoch will nicht unbedingt sieht. Hat mich aber gesehen. Er bleibt, baut auf. Ich bin völlig aus dem Konzept. Mache bei Weißlichtgewitter die vermeintlich richtige Stelle für Cass A aus. Mit der alternativen Suchkarte komme ich aber gar nicht zurecht. Mache noch über eine Stunde rum. Nix. Dann sprechen wir. Aus Hamburg. Hat einen 20 Zöller von Athos.org dabei. Ah, die liefern auch an. Super. Teleskop sieht gut aus. Bewegt sich auch gut. Kollege fährt nach eigenen Angaben hellere Standards an. 

Wegen des mittlerweile schlechten Seeings, fahre ich IC 417 an.

[[IC 417]]: Recht schwerer Nebel. Hätte ich nicht gedacht. Probiere UHC, OIII und Hß durch. Am besten gefällt mir der Hß. Es zeigt sich ein unregelmäßiger, sehr schwacher Nebel, Kaum Struktur. Enttäuschend!

[[NGC 3242 - Jupiter's Geist]]: Schon bei 65 fach als kleiner, blaugrüner, leicht ovaler Nebel sichtbar. Bei 420 immer noch sehr hell. Im Innern zeigt sich eine hellere Schale als ovaler Ring, mit zwei erkennbaren Knoten. Einer dieser Knoten ist besonders hell und liegt im Westen. Bei schlechtem Seeing und abgesehen von der Helligkeit kann dieser Nebel tatsächlich als Jupiter durchgehen :) 

Mit dem Mitbeobachter wird gequatscht. Am Ende packt er gegen halb drei zusammen. Ich bleibe. Vorher messe ich auf Wunsch mit mit SQM-L den Himmel durch. Im Kasten des großen Wagens ist es am dunkelsten. 21.90! Ups im Zenit 21.88.

Das Seeing wird leider nicht wie gestern etwa besser. Also mit 65 fach die Markarian Galaxienkette um M86 eingestellt, Wow!!!! Alles so hell und klar. Die Eye's auf 290 fach vergrößert.

Irgendwie ist diese Nacht verhext. Seeing schlecht. Seeing Monitor vom ING-Weather Monitor zeigt 1.4+-0.5 arcsec an. Könnte hinkommen. Haben mittlerweile Ostwind und nur noch 6° Celsius. Morgen sollen hohe Wolken kommen und die folgende Nacht bewölkt sein. Überlege zusammenzupacken oder zu bleiben. Im Mittel können im Kasten des Wagens jetzt 21.92 gemessen werden. Absoluter SQM-L Rekord mit meinem Gerät. Noch nie zuvor so hohen Wert gemessen. Auch nicht in Namibia. Im Zenit nur 21.88! Bleibe und versuche aus Spaß die "Antennen" von NGC 4038 & 39 zu erkennen.

''NGC 4038 & 39'': Bei 65 fach, d.h. 6.5 mm AP, werden die Antennen nach geduldiger Beobachtung tatsächlich sichtbar. Mit Pausen bin ich ca. eine Stunde mit diesem Objekt beschäftigt. Können schwer, aber sicher immer wieder beobachtet werden. Im Raben 21.82 mit dem SQM-L gemessen, obwohl dieser hier auf La Palma auch nicht besonders hoch steht. "Antenne" von NGC 4039 ist etwas heller und einfacher zu verfolgen, aber tatsächlich "kürzer".

Hatte die Beobachtung der Antennen mit mittelgroßen Geräten für einen Mythos gehalten. Doch noch schöner Abschluss dieser Beobachtungsnacht. Gegen kurz vor fünf bin ich auf dem Weg nach Hause.

[[<<Zurück zur vorherigen Nacht|22. Januar 2017 - La Palma]] | [[Weiter zur nächsten Nacht>>|24. Januar 2017 - La Palma]]

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Heute bin ich mit Ernst verabredet. Ich treffe auf dem Platz ein und Ernst ist auch schon da. Über uns hängen mächtige Wolken. Uns kommen erste Zweifel, ob es heute was werden wird. Und wie wir vermutet hatten, gehen die Wolken tatsächlich zurück. Wir trauen dem Braten natürlich nicht und bauen zunächst nur Fotoequipment auf. Wir quatschen und nebenbei werden ein paar Fotos geschossen. 


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Da stehen wir nun und warten. Immerhin reicht es für dieses Foto, was aus etwa 30 Einzelaufnahmen zusammengesetzt wurde. Dabei habe ich diesmal mit dem neuen STC Multispectra Filter fotografiert. Schön ist, dass jetzt Wolken tatsächlich auch weiß dargestellt werden. Denn im Kern handelt es sich bei der Kamera um eine astromodifizierte Version. 30x46sec bei Blende 1.7 und Sony A6000.

Das Foto spiegelt die Stimmung recht gut wieder. Links sind die Teleskope, d.h. NOT, TNG & GRANTECAN zu sehen.
<<<

Der Himmel ist heute nicht so gut, denn irgendwie hat die Insel wieder Calima abbekommen. Irgendwie komisch, da die ganze Zeit Wind aus Nordwest vorhergesagt wird, aber im Nordwesten liegt nur der Atlantik und keine Wüste. Wie auch immer, die Sensoren des NOT meldeten zwischendurch bis zu 30 Partikel pro Kubikmeter. Das ist schon eine Nummer. Jetzt wo ich wieder zu Hause bin, werden immer noch 11 Partikel pro Kubikmeter angezeigt.
Die Luftfeuchtigkeit bleibt sehr hoch. Im Nu beschlagen auch immer wieder meine Objektive. Und dann jagen wieder Wolken über die Insel. Und wir mittendrin. Teilweise kommen die Wolken bis auf wenige Meter an uns heran. Als es mal wieder soweit ist, entscheiden wir uns abzubauen. Was heißt eigentlich abbauen: wir hatten nie so richtig aufgebaut. Aber wir bauen schließlich die Fotostative ab und lassen die Motoren laufen. Denn zunächst gilt es die Frontscheiben der Autos aufzutauen. Ernst schlägt vor, noch mal zur Aussichtsplattform zu fahren. Mir gefällt die Idee spontan und ich mache mit. Auf dem Weg dorthin, müssen wir feststellen das die Straße zum Teil verreist ist. 

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Am Geländer bietet sich uns ein spektakulärer Anblick der südlichen Wintermilchstrasse. Wir sind überwältigt und ich packe noch mal schnell die Kamera aus. Und wieder dauert es keine 5 Minuten und aus der Caldera, die gerade eben noch absolut wolkenfrei war, steigen jetzt Wolken zu uns hinauf. Das war es, wir geben auf. Ich verabschiede mich noch schnell von Ernst und mache mich auf den Heimweg. Der Luftdruck steigt bereits leicht und so gehe ich davon aus das es morgen bessere Bedingungen geben wird. Heute haben wir nur mit bloßem Auge beobachtet und den Himmel durch unsere Kameras gesehen. Morgen wird es vielleicht besser. Vielleicht.

[[<<Zurück zur vorangegangenen Nacht|22. Januar 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|24. Januar 2020 - La Palma]] 

Der Wind ist zurück. Und ganz schön mächtig. Habe leider gedacht, dass es wie die letzten Tage laufen würde. Tut es aber nicht. 

[[Palomar 8]]: Schon bei 65 fach als runder Nebelball gut zu erkennen. Sieht aus wie ein KS im Feldstecher. Bei 114 fach grießig. Bei 420 fach nicht mehr. Kann ohne Probleme bis auf 420 fach vergrößert werden. Es zeigt sich ein zum Zentrum hin zunehmender Helligkeitverlauf. Im Randbereich sind schwache Sterne zu erkennen, der KS selbst wirkt gemottelt.

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[[Minkowski 1-54]]: Kleiner, heller, runder Nebel bei 290 fach. Kann ohne Probleme bis auf 1000 fach vergrößert werden. Dann zeigt sich zunächst ein homogener Nebel, der sich aber bei gutem Seeing in einen gefüllten, leicht ovalen Ring verwandelt. Ausrichtung nicht ganz Nord-Süd, sondern leicht versetzt. Blickweise sind mittig im Norden und Süden hellere, kurze Kanten zu erkennen. 

Das SQM-L markiert im Zenit Werte um die 21.8. Gute Bedingungen also. Der Wind weht in Böen. Lässt aber immer wieder nach. Hoffe das bleibt so.

[[Minkowski 4-9]]: Runder Nebel und schon bei 65 zu sehen. Bei 290 fach und OIII Filter zeigt sich ein homogenes Scheibchen. Manchmal habe ich den Eindruck einen Ring zu sehen, was sich aber leider nicht wirklich sicher bestätigen lässt. Bei 420 fach und ohne Filter lassen sich den Nebel umgebende, schwache Sterne erkennen. Einer ist sogar im Nebelgebiet zu erkennen. Bei 420 fach ist der Nebel selbst indirekt nicht mehr zu halten. OIII hilft auch nicht weiter, da der Nebel einfach zu schwach ist. Hingegen bei 290 und OIII geht das Ganze ganz gut. Um den Ring definitiv zu sehen, braucht man mehr Licht, ergo mehr Öffnung. Trotzdem sehr interessantes Objekt.

Der Wind ist endlich weg. Hat ganz schön genervt.

''NGC 6567'': Bei 65 fach schon als winziger Strich zu erkennen. Bei 420 fach zeigt sich ein von Nordost nach Südwest verlaufender Nebel, der im Nordosten am hellsten ist und dann deutlich dunkler und diffuser wird, um dann wieder heller zu werden. Hier zeigt sich ein kurzes helleres Teilstück, dass dann wieder diffus ausläuft. 90 Grad versetzt, heller versprengter Nebelteil.

[[Minkowski 1-64]]: Nachschau. Wie bei der Beobachtung vor ein paar Tagen wird zunächst kein Ring sichtbar. Aber ab 800 facher Vergrößerung ist der Nebel immer noch gut zu erkennen. Dann wird er bei geduldiger Beobachtung im Innern dunkler und es zeigt sich für ein paar Sekunden ein schöner Ring. 

Das war es wieder mal. Habe versucht eine Zeitrafferaufnahme zu machen, ist aber wegen Fehlbedienung gescheitert. Egal heute ist auch noch ein Tag.

Im Dorf angekommen, steht ein Fuchs auf der Straße und schaut mich an. Dann verschwindet er im Dickicht.

[[<<Zurück zur vorangegangenen Nacht|22. Juli 2017 - Campos de Hernan Perea]] | [[Weiter zur nächsten Nacht >>|24. Juli 2017 - Pinar de Araceli]]

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Was soll ich sagen? Wieder klar. Ganz leichter Wind aus Nordost. Mond stört die Beobachtung am Anfang. +5 °C am Morgen. SQM-L Werte um 21.65. Letzte Beobachtungsnacht. 

''Homunculus Nebel, 18:35 Uhr:'' Umgibt Eta Carinae. Es zeigen sich bei 790 fach zwei NW nach SE ausgerichtete ovale Blasen, die eine Acht bilden. Sie haben die gleiche orange Farbe wie der eingebettete Stern. SE-Blase prominenter, d.h. heller und etwas größer. NW-Teil kleiner und nicht so hell. In beiden Teilen sind immer wieder blickweise runde dunkle Stellen erkennbar. Schönster Anblick bei circa 320 fach. Südwestlich zeigt sich bei ruhigem Bild weitere kleine Blase.

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''NGC 4372, Globular Cluster in Musca, 24.05.2015 20:00 Uhr:'' Großer, aber schwacher KS. Bei 100 facher Vergrößerung ist der Haufen komplett aufgelöst. Zentrale Verdichtung kaum bis gar nicht ausgeprägt. Form oval. Sieht eher einem offenen Sternhaufen ähnlich. Südwestlich liegt heller Stern Gamma Muscae.

''Henize 2-111, "Planetary Nebula in Centaurus", 22:15 Uhr:'' Kleiner Nebel, der schon bei 120 eindeutig als PN erkennbar ist. Zunächst nierenförmig. Nach Steigerung der Vergrößerung auf fast 800 fach zeigt sich hingegen ein Nord-Süd ausgerichteter PN mit zwei ovalen, nicht exakt gegenüber liegenden Schalen.

''Leo Triplet:'' Unglaublich! Bei 120 fach passen alle drei Galaxien gerade so in ein Gesichtsfeld. NGC 3628 zeigt ein ausgeprägtes Staubband. M66 hat einen hellen Zentralbalken. Toller Anblick!

Es ist recht warm mit +12 °C. Die Bedingungen sind leider nicht so gut wie letzte Nacht im Mittel 21.67.

''NGC 2124, 23:00 Uhr:'' Ein einfaches Objekt für das bloße Auge. Es zeigt sich ein kleines Nebenwölkchen. Im Feldstecher erkennt man den Charakter des Objekts: Es handelt sich um einen offenen Sternhaufen. Bei 120 facher Vergrößerung passt das Objekt schön in das Gesichtsfeld. Sehr lockerer Sternhaufen, der keine Konzentration zeigt. Einige Sternketten. Nichts was mich vom Hocker reißt.

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{{NGC 5101}}

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''NGC 4833, KS in Musca, 23:10 Uhr:'' Runder bis ovaler Kugelsternhaufen. Insbesondere die helleren Sterne um das Zentrum des Kugelsternhaufen prägen die ovale Form. Betrachtet man hingegen auch die schwächeren Sterne im Außenbereich setzt sich eher die runde Form durch.

''NGC 2547, 23:05 Uhr:'' Nur im Feldstecher eingestellt. Offener Sternhaufen, der wenig konzentriert wirkt. In der Mitte prominenter heller Stern.

''NGC 6752, Globular Cluster in Pavo, 24.05.2015 23:30 Uhr:'' Ist angeblich eines der ältesten Objekte des Universums. Was man ihm natürlich nicht ansieht. Tatsächlich zeigt sich ein typischer Kugelsternhaufen mit sehr dichtem Zentrum. Sehr ausgeprägte Arme. Bei 320 fach ist das Zentrum aber angelöst.

''Terzan 2, Globular Cluster in Scorpius, 24.05.2015  0:20 Uhr:'' Sehr schwaches rundes bis ovales Glimmen um zwei Sterne. Beobachtung ist eindeutig, da Vergleich an anderen Sternen ähnlicher Helligkeit kein solches Glimmen erkennbar ist. Vergrößerung 120 fach.

''Trumpler 26, Open Cluster in Ophiuchus, 24.05.2015 0:25 Uhr:'' Steht quasi auf dem Weg zu HP 1. Unscheinbarer offener Sternhaufen bestehend aus circa einem Dutzend hellerer Sterne. Insgesamt geschätzt mehrere Dutzend Sterne.

''NGC 7064, Spiral Galaxy in Indus, 24.05.2015 0:55 Uhr:'' Schöne langgezogene Spindelförmige Galaxie. Keine Helligkeitszunahme zum Zentrum hin. In der Mitte leichter Bulge.

''NGC 7090, Spiral Galaxy in Indus, 24.05.2015 01:25 Uhr:'' Sehr schöne langgezogene Nadel. Zur einen Seite hin deutlich schwächer. In der Mitte knapp über der Galaxie steht ein schwacher Vordergrundstern. Nordwestlicher Teil zunächst heller, dann diffus auslaufend. Südwestlicher Teil schwächer und diffus.

''Tucana Dwarf, 2:05 Uhr:'' Klein, oval mit 2:3 Elongation. Nur mit genauer Karte auffindbar. Kann indirekt, wenn man weiß wo man hinschauen muss, ganz gut gehalten werden. Außer einem schwachen Glimmen zeigt sich nichts. 100 fache Vergrößerung und maximale AP.

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''NGC 7098, 2:20 Uhr:'' Wieder so ein Fliegenschiss. Bei 180 facher Vergrößerung zeigt sich eine relativ kleine Galaxie mit hellem diffusen Zentrum. Es sind zwei Spiralarme indirekt erkennbar, die diffus auslaufen.

''Haute Provence 1 - kurz HP 1, Globular Cluster in Ophiuchus, 24.05.2015 01:25 Uhr:'' Sehr einfach zu sehen. Kleiner runder Nebel. Einige Sterne blitzen indirekt heraus. Mitbeobachter bestätigt dies. Wird von zwei schwachen Sternen eingerahmt, die offensichtlich Vordergrundsterne sind.

''NGC 5101, Spiral Galaxy in Hydra, 24.05.2015 02:20 Uhr:'' Tolles Objekt. Ring heute besser zu erkennen. Zeichnung verifiziert und fertiggestellt.

''Abell 70, Planetary Nebula in Aquila, 24.05.2015 04:00 Uhr:'' Bei 100 facher Vergrößerung und maximaler AP wird Abell 70 als kleiner, runder Nebel sichtbar mit einer Aufhellung am nördlichen Rand. Bei Steigerung der Vergrößerung auf 180 fach und OIII-Filter zeigt sich ein homogener Ring. Ohne Filter ist der Nebel als Ring auch gut zu erkennen. Deshalb beschließe ich ihn wieder wegzulassen. Jetzt entpuppt sich die Aufhellung als kleines spindelförmiges Objekt, was sogar heller als der Nebel selbst ist. Bei weiterer Steigerung der Vergrößerung auf 280 fach beziehungsweise 320 fach ist der Ring weiterhin gut erkennbar und das Objekt am Nordrand entpuppt sich einwandfrei als kleine Galaxie. Es ist sogar eine leichte Helligkeitszunahme zum Zentrum hin zu erkennen. Sowie ein kleiner Bulge. Faszinierendes Objekt!

''NGC 7793, Spiral Galaxy in Sculptor, 24.05.2015 04:20 Uhr:'' Ovale Galaxie mit Helligkeitszunahme zum Zentrum hin. Bei 320 facher Vergrößerung sind die Spiralarme sehr gut zu erkennen. Sternartiges Zentrum. Schönes Objekt!"

So das war's. Ich überlege kurz, ob ich irgendwelche weitere funzelige Galaxien beobachte oder einen Cut mache. Letzteres!

Nochmal genießen, umher gehen, umschauen und die Atmosphäre aufsaugen. Heute Abend geht der Flug nach hause!

[[Zurück zum Artikel>>|Namibia Mai 2015]]

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Und wieder klar. Seeing sieht mit bloßem Auge OK aus, d.h. es ist nicht grottenschlecht und wird die Nacht über dann wieder besser.

Heute wieder zunächst der Tarantelnebel. Die Zeichnung muss heute fertig werden. 

[[Henize 70]]: Recht großer Nebelring um einen kleinen offenen Sternhaufen. Ungleichmäßig hell, mit hellstem Abschnitt westlich, sowie südlich. Insgesamt ist ein Halbkreis recht einfach zu sehen. Weitere Nebelteile sind aber auch - wenn auch schwierig zu erkennen. Segmente sind immer wieder unterbrochen. In der Mitte länglicher bis ovaler Nebelfetzen, der den OS im Innern asymmetrisch umgibt. Beobachtung bei 100 fach und UHC. OIII funktioniert nicht so gut.

[[Henize 2-29]]: Aufsuchen gestaltet sich etwas schwieriger, da der PN in der reichen südlichen Milchstraße zu finden ist. Bei 670 fach ohne Filter bereits gut zu erkennen. Es zeigt sich ein kleines "S", dass in einen diffusen Nebelschleier gehüllt ist. Mit OIII steigt der Kontrast noch einmal und dann ist der PN am besten sichtbar.

[[NGC 3132 - Eight Burst Nebel]]: Ovaler, heller Nebel bei 100 fach. Bei 670 fach lang gezogene, kantige Ellipse. ZS hell und mittig. Südwestlich knapp außerhalb des Nebelrands schwacher Stern. Nebel ist von einer Nebelschale eingefasst, die nach Norden hin diffus ausläuft. Östlich befinden sich zwei hellere Knoten auf der Nebelschale, eine davon klein und diffus, andere etwas heller und länglich. Im Innern südlich des ZS mit diffusem Nebel gefüllt.

Heute ist es mit +6 Grad Celsius wärmer. Das SQM-L zeigt 21.83 an. 

''Jupiter's Geist'': Die nördlichen Halobogen (h1 und h2) sind nicht zu sehen, auch nicht mit OIII. Der südliche Halobogen war ebenfalls nicht zu erkennen. Schwierig ist die Beobachtung insbesondere deshalb, da der sehr helle Nebel praktisch alles überstrahlt.

[[NGC 3247]]: Zufällig gefunden. War eigentlich auf dem Weg zu NGC 3199. Erdnussförmiger Nebel bei 100 fach. Bei 280  fach und UHC wird zunächst ein rundes Dreieck um einen recht hellen Stern als hellster Nebelteil am nördlichen Ende sichtbar. Von dort aus geht der Nebel westlich geradlinig und läuft östlich konkav diffus aus. 

NGC 3199 ist für heute dann Geschichte. Das nächste Objekt ist schwierig zu finden, denn es liegt in der reichen Sommermilchstraße und ist auch nicht sehr groß.

[[IC 4699]]: Sehr kleiner PN, der die Form einer Galaxie hat. Spindelförmig, recht hell mit hellerem Nucleus, der offenbar oval ist. 670 fach vergrößert, keinen Filter genutzt.

Die Sterne flackern bis in den Zenit. Trotzdem ist das Seeing gut. Seltsam, ist aber so. SQM-L 21.83 im Zenit. 

[[IC 5150]]: Schöner, großer und heller Rauchring schon bei 100 fach. Bei 280 fach wird der ZS schwach sicher sichtbar. Kann direkt gehalten werden. Mit UHC-Filter wird der Nebel besser sichtbar. OIII funktioniert schlechter. Die östlichen und westlichsten Nebelsegmente sind etwas heller und breiter. Die nördlichen und südlichen hingegen schwächer und schmaler. Im Norden droht er fast zu verschwinden. Trotzdem zeigt sich ein permanenter, geschlossener Ring.

[[Terzan 3]]: Bei 100 facher Vergrößerung zeigt sich ein zartes, rundes Glimmen mit leichter Helligkeitszunahme zum Zentrum hin. Im Zentrum zeigt sich ein recht heller Stern, sowie abseits weitere 4-6 schwache Sterne.

''NGC 6631'': Lockerer, kompakter Sternhaufen mit runder Grundform. Enthält einige hellere Sternketten. Hellster Stern im Außenbereich. 

''//Abell 45//'': Wie vor zwei Jahren nix zu sehen. Versucht habe ich 100 und 180 fache Vergrößerung. Aber leider nichts. 

Die Nacht geht wieder mal zu Ende, aber heute gibt es noch was zu sehen: Der Mond geht kurz nach Merkur auf und so geben Venus, Merkur  und der Mond ein schönes Bild ab. 

[[<<Zurück zur vorherigen Nacht|22. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|24. Mai 2017 - Tivoli Astrofarm]]

Teilweise bewölkt mit abziehenden Wolken.  

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Zunächst windig später bei Einbruch der Dunkelheit windstill. Sehr transparent bis zum frühen Morgen, wo kurzzeitig Zirren durchziehen. 21.56 zu Beginn der Nacht und 21.65 am Ende.

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Zurück in der Nacht hänge ich ein wenig in der Sommermilchstraße ab und surfe einfach in den hellen Milchstraßenwolken. Ich beobachte erneut die Nebelregion um NGC 8589 & 8590. Sie befindet sich direkt südöstlich von M24. Die Transparenz ist deutlich besser als in Bonilla. 

Insgesamt zeigt sich die Region besser. Bei 56 fach sind schnell vier große Nebel ausgemacht.

*23:10 Uhr - ''IC 1284'': Großer Nebel. Reagiert sehr gut auf UHC. Relativ hell und diffus. Bildet mit IC 1283 und weiteren Nebeln schönen Anblick.

*23:15 Uhr - ''IC 1283'': Bildet mit IC 1284 schönes Paar. Schwächer als dieser. Ebenfalls diffus auslaufend. 56 fach und UHC. Unklar wie gross genau da, mit IC 1283 überlappend.

*23:25 Uhr - ''NGC 6590'': Bei 56 fach heller Nebel von unregelmässiger Form um einen kleinen unscheinbaren Sternhaufen. Ohne UHC Filter besser zu sehen.

*23:30 Uhr - ''NGC 6589'': Heller runder Nebel un einen Stern. Ähnliche Größe wie NGC 6590. Alle Nebel sind auch ohne Filter gut zu erkennen.

*0:20 Uhr - ''NGC 6741'': Bei 168 fach bereits als kleiner Nebel um einen Stern erkennbar. Bei 430 fach rund diffus auslaufend und überraschend gross.

*0:30 Uhr - ''NGC 6742'': Runder relativ heller homogener Nebel. Im und vor allem am Rand tauchen indirekt immer wieder schwache Sterne auf. ZS nicht gesehen. Reagiert kaum auf OIII oder UHC. Beste Sicht bei 430 fach ohne Filter.

*0:45 Uhr - ''NGC 6852'': Bei der Suche nach Abell 67 aufgefallen. Bei 168 fach und OIII zeigt sich ein kleiner runder PN bei inder Nähe eines Stern etwa 7. Grösse. Westlich schwacher Stern erkennbar im Nebelgebiet hingegen drei Sterne, die ein winziges gleichseitiges Dreieck bilden. Nebel wirkt unruhig.

*01:35 Uhr - ''Abell 67'': Bei 114 fach zeigt sich ein strukturloses Nebelscheibchen. Kann nicht ständig gehalten werden. Dennoch eindeutig. Bei 56 fach und OIII auch nicht einfacher. Das reiche Sternfeld stört die Beobachtung. Schwieriger als erwartet.

Muss das hervorragende Seeing ausnutzen und die Standards nochmal bei hoher Vergrösserung abklappern.

*03:25 Uhr - ''NGC 7662'' = ''Blue Snowball'': Bei 430 fach zeigt sich der Nebel hellblau. Insgesamt leicht oval. Innen zeigt sich eine helle ovale Nebelschale. Bei weiterer Vergrösserung auf etwa 800 fach deuten sich im Nebeläusseren mehere radial abgehende Fransen an. Der ZS ist auch weiterhin gut zu erkennen.

*03:40 Uhr - ''Abell 64'' = ''PGC 63630'': Bei 114 fach zeigt sich ein kleiner runder Nebel. Wenn man weiss wo man hinschauen muss, dann recht einfach zu sehen. Sieht wirklich wie ein PN aus, ist aber eine Galaxie.
*04:00 Uhr - ''M2'': Schöner Kugelsternhaufen. Bei 430 fach bis in Zentrum aufgelöst. Hat "Arme" und wirkt ausgefranzt.
*04:35 Uhr - ''IC 349'': Mit Hilfe einer Zeichnung konnte ich die genaue Stelle identifieren. Zum Glück lag keiner der Spikes dort und so konnte ich bei 430 fach und sehr gutem Seeing eine geisterhafte kleine Aufhellung - als Ausbuchtung des durch die Optik um den hellen Stern Merope erzeugten Halos - wahrnehmen. Kann nicht ständig gehalten werden, dennoch Beobachtung eindeutig. Leider konnte ich Merope selbst nicht aus dem Feld galten, da ich sonst um die Ecke gucken muss, was leider bei dem 110 Grad Oku sehr schwer möglich ist. Es geht auch so! Erneut geschaut. Springt jetzt deutlich ins Auge. Schwenken hilft beim Erkennen!

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Bin heute wieder in der Schutzhütte. Heute wird tatsächlich die beste Nacht. Es ist Weihnachten! Ja, ich weiß verrückt, oder? Die Idee ist heute bis um drei oder vier zu beobachten, vielleicht auch länger und dann bis Mittag zu schlafen. Dann werde ich wieder Richtung Madrid aufbrechen. 

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Ich checke noch mal die Vorhersage und bin etwas verschreckt: es wird Wind vorhergesagt mit 30 km/h. Das ist schon heftig. Ich überlege zunächst, ob ich tatsächlich wieder zur Schutzhülle fahren soll, denn außer hinter der Hütte selbst kann ich mich nicht vor dem Wind verstecken. Egal, ich fahre trotzdem hin. Ich sollte es nicht bereuen, denn als ich da bin, ist der Wind auch nicht stärker als gestern am Morgen. Interessanterweise treffe ich heute auf dem Weg durch die unwegsame Sierra einen Jeep. Später, als ich aufgebaut hatte und schon fast die astronomische Dämmerung eintritt, heizt ein weiteres Fahrzeug vorbei. Zum Glück lässt es mich in Ruhe und düst einfach weiter. 

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Die Temperaturen sind heute angenehm. +7° C und um 62 % Luftfeuchte. Hervorragende Bedingungen. Das erste Objekt ist wieder mal Jupiter, aber es zeigt sich außer den üblichen Bändern nichts spektakuläres. Trotzdem sieht man jetzt schon, dass das Seeing gut ist. Bin tatsächlich erstaunt, wie viele Flugbewegungen heute tatsächlich auch noch stattfinden, denn über den Himmel ziehen alle paar Minuten Flugzeuge.

Kurz vor der astronomische Dämmerung jagt entfernt ein Geländewagen vorbei und biegt in einen der zahlreichen Feldwege ein. Etwa 10 Minuten später ist ein Schuss zu hören. Sehr kurios! Aber was sage ich, ich bin ja schließlich auch hier. Während ich Sterne beobachte, gehen andere eben auf die Jagd.

Das erste richtige Objekt ist wieder mal eine Nachschau. Es geht um einen schwierig sichtbaren Kugelsternhaufen, den ich schon ein paar mal sehen konnte, aber bisher mit 14 Zoll nicht. Mal sehen ob sich das ändert.

!!Laevens 3

Mache eine halbe Stunde mindestens rum, aber stehe am Ende mit leeren Händen da. Wieder mal habe ich Probleme das Sternfeld zu identifizieren. Das ist nichts neues, das ist mir schon mal passiert. Komischerweise habe ich diesmal wieder nicht nachgedacht und die richtige Sternkarte runtergeladen. Die, welche bereits Probleme gemacht hat, habe ich natürlich dabei und nichts geht. Das Sternfeld kann nicht identifiziert werden. Der Stern HD 201139 hingegen schon. Aber dort sind zu viele weitere schwache Sterne in der Umgebung, als dass man das relevante Dreieck identifizieren könnte. Außerdem bringt es nichts, denn ich will ja tatsächlich die Sichtbarkeit verifizieren, ohne konkrete und richtige Ortsangabe ist das sowieso Käse. Kann leider auch hier nichts runterladen, denn ich habe hier oben keinen Handyempfang. Schade, wieder schlechte Vorbereitung. 😤

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!R Aquarii

Wollte ich heute nicht noch mal machen, aber ich will wirklich sicher sein, dass die Beobachtung reproduzierbar ist. Bin gespannt, was sich zeigt. War gestern bezüglich der Orientierung des Nebels etwas verwirrt, aber später hat sich das aufgeklärt, denn R Aquarii stand ja schon weit vorgerückt am Westhimmel und da dreht sich ja auch das Bildfeld ein wenig. Die Zeichnung war in jeden Fall korrekt.

Und heute wieder an der gleichen Position ist ein länglicher, leicht geschwungener Nebel erkennbar. Größe und Position wie gestern. Dennoch muss ich festhalten, dass ich eine Zeit lang gebraucht habe, um ihn zu erkennen. Absolut grenzwertig, aber trotzdem sicher. Habe übrigens gestern noch mal mit einem anderen Stern in der Nähe, der etwa gleich hell ist, den Gegenvergleich gemacht. Dieser zeigt keinen entsprechenden Halo, der auch schon bei R Aquarii sichtbar ist, ebenfalls ein Indiz. Wichtig ist hier auch höher zu vergrößern, denn bei niedrigerer Vergrößerung ist bis auf den Halo nichts zu sehen. Ohne Filter ist definitiv nichts zu erkennen.

Nächstes Objekt ist wieder Mars. Er zeigt sich wie gestern bei gutem Seeing, aber leider stört der Wind. Wieder sind offenbar weiße Wolken am Rand zu erkennen, denn als Polkappen können sie nicht durchgehen, da sie viel zu großflächig erscheinen.

Der Wind hat zwischenzeitlich zugenommen, und flaut zwischendurch wieder ab. Für Mitternacht soll er erneut zulegen und dann richtig unangenehm werden. Der Himmel sieht seifig aus. Überall sind Lichtverschmutzungglocken zu erkennen, außer im Norden sind diese gering. Trotzdem wird der Himmel gegen 21 Uhr deutlich besser, keine Ahnung, woran das liegt. Gestern Morgen gegen 4 Uhr war der Himmel ähnlich gut wie auf La Palma und erreichte Werte um 21.7 im Zenit. Die Ursache für den seifigen Himmel ist übrigens gefunden, denn die parallel laufenden Aufnahmen zeigen, dass dünne Zirren durchziehen.

Ich schaue noch mal bei NGC 2163 vorbei. Konnte allerdings nichts Neues erkennen. Trotzdem schöner lang gezogener Nebel, mit abgehender, seitlicher Fahne. Geht direkt durch einen Stern. Wirklich schön!

Heute ist wirklich zum genießen. Ich bin mir gar nicht sicher, ob ich heute noch mal irgendwie was Großes anfangen möchte. Wahrscheinlich ist es besser, einfach den Himmel noch mal durchzustöbern. Wobei ich mittlerweile den Eindruck habe, dass der Himmel zumindest hier oben auf der Hochebene zwar gut, aber doch von La Palma ein Stück entfernt ist. SQM-L 21.5 im Zenit ansteigend. Mittlerweile um halb elf Uhr sind es 21.57. Im direkten Vergleich zur Rhön muss man sagen, dass dieser Himmel eine Stufe besser ist. Hier beginnen die Nächte mit 21.5, in der Rhön mit 21.3. Wenn man Glück hat dort vielleicht mit 21.4. Manchmal sogar auch nur 21.2.

! Beobachtungen mit dem 10x50 Feldstecher

Ich greife zum Feldstecher, den ich auch dabei habe. Trotz niedriger Höhe ist der Nordamerikanebel gut erkennbar. Sogar der Pelikannebel! M 46 & M 47 sind mit bloßem Auge leichte Objekte. Im Feldstecher ein schönes Paar. Was richtig gut kommt ist M 41 und M 42 auch. Im Teleskop wirken die Sterne von M 41 zu verstreut. Definitiv ein Feldstecherobjekt. M 42 zeigt einen „kompletten Ring“, ein Zeichen, dass die Bedingungen gut sind. Bisher nur so gesehen auf La Palma. In der Rhön hingegen noch nie!

!“Bubblenebel“, NGC 7510 und was Unbekanntes 

Ich streunere einfach so über den Himmel. Schließlich bleibe ich beim Bubblenebel hängen. Ewig nicht beobachtet und ich bin erfreut, ihn wieder zu sehen. Die runde Blase ist auch zu erkennen, wobei ich sie nicht als vollständig geschlossen sehe, sondern nur zu etwa etwas mehr als die Hälfte. Schön ist auch der in der Nähe befindliche Sternhaufen NGC 7510, der dreieckig wirkt und bei Übersichtsvergrößerung eine Kette von schwächeren, sehr nah beieinander stehenden Sternen zeigt. Interessant ist auch, dass ich zufällig in der Nähe auf einen Nebel stoße, der in ~SkySafari nicht eingetragen ist. Er befindet sich ausgehend von NGC 7510 und dem Bubblenebel dort, wo die beiden und der unbekannte Nebel ein flaches, gleichschenkliges Dreieck bilden. Dort trifft man auf ein Doppelsternpaar, welches von einem Nebel umgeben ist. Dieser wirkt recht hell und scheint auch auf Nebelfilter nicht so gut zu reagieren. In ~SkySafari leider nicht enthalten, daher erst mal unbekannt. Muss ich morgen nachschauen, um was es sich dabei tatsächlich handelt. Fertige allerdings eine Zeichnung an und beim Beobachten scheint der Nebel auch bei Übersichtsvergrößerung oval bis fast rund zu sein. Der hellere Balken, der durch die beiden Doppelsterne geht, schlägt schließlich einen Haken, wo dann auch bei höherer Vergrößerung von 168x ein schwacher Stern sichtbar wird, der aber nicht den Nebelbalken an der Stelle vortäuscht, denn dafür ist er viel zu schwach. Am besten sieht der Nebel bei 114x im 14 Zöller aus, da dann die schwachen Ausläufer ebenfalls gut zu erkennen sind, die am Rand unregelmäßig zu sein scheinen. Sehr interessant. 🧐

!!Es ist [[NGC 7538]]…

Der unbekannte Nebel stellt sich schließlich als NGC 7538 heraus. Das habe ich dann eine Woche später recherchiert. Das war gar nicht mal so einfach, denn dazu musste ich zunächst Aladdin und anschließend Simbad bemühen. Interessanterweise wird NGC 7538 dann schließlich in ~SkySafari über die Suche gefunden und auch im Sternfeld angezeigt, die Beschreibung auf Deutsch lautet tatsächlich „heller Nebel“. Warum dieser nicht direkt am Sternfeld angezeigt wird, bleibt ein Rätsel. 

!IC 443 Nachschau 

Heute noch besser zu erkennen. Vergrößere diesmal auch stärker auf 114x. Dann zeigt sich tatsächlich auf einer Seite noch ein schwacher Nebel, den ich vor ein paar Tagen nicht erkennen konnte.

Als Nächstes möchte ich den in der Nähe stehenden Nebel NGC 2313 beobachten. Der Wind hat aber jetzt noch mal deutlich zugelegt. Das Teleskop wackelt hin und her, das kann man vergessen. Sogar die Fotoaufnahmen mit Fisheye sind verzogen. Gibt’s doch gar nicht! Angekündigt war er ja und verschwinden wird er bis heute Morgen nicht mehr. Deswegen packe ich ein. Der Himmel ist mittlerweile schön dunkel, wenngleich am Anfang doch die Lichtverschmutzung auch für diesen Ort doch mittlerweile hoch ist. Oder aber ich bilde mir das alles ein?

[[<< Zurück zur vorangegangenen Nacht|23. Dezember 2022 - Campos de Hernan Perea]] | [[Zurück zur Beobachtungsübersicht >>|Weihnachten im Pinar de Araceli]]

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Heute geht es auf den Roque de los Muchachos. Wenn es windstill ist, dann bleibe ich ganz oben, so der Plan. Unten an der Passstraße ist es recht windig mit Wind aus NE. Oben auf dem Roque nichts. Tatsächlich windstill. Besuche die gebauten Aussichtsplattformen hier oben und nehme spontan an einem "Gitarrenkonzert" einiger Hippies teil. Viele Fotos werden gemacht, nicht nur von mir. Dann gehe ich zurück auf den Parkplatz. Nur noch ein Pritschenwagen hier. Baue auf und gehe dann rüber. Kommen ins Gespräch. Das Pärchen möchte nur noch schnell die Sterne anschauen, dann wollen sie weiter. Ok. Es gibt noch schnell eine Führung von mir zum Thema Sterne. Dann sind sie weg.

Ich widme mich als erstes wieder Cass A. Habe eine Aufsuchkarte bei [[Rainer Vogel|http://www.reinervogel.net/pdf/Cassiopeia_A.pdf]] gefunden und finde tatsächlich das Objekt relativ schnell. Gestern war ich leider an der völlig falschen Stelle unterwegs.

Während der Beobachtung luge ich zu den Teleskopen herüber. Ein Fahrzeug fährt gerade hoch zum JKT. Recht langsam und mit Standlicht, so wie es aussieht. Ok, der "Sicherheitsverantwortliche". Er dreht oben und kommt zurück. Verdammt. Ich lasse mich nicht beirren und beobachte Cass A.

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32619470565/in/datetaken/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/355/32619470565_f977c16c69_b.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Teneriffa und der Teide sind gut zu erkennen.</div>

[[Cassiopeia A]]: An der richtigen Stelle wird ein bogenförmiger Nebel sichtbar, der an den Enden hin heller zu werden scheint. Am Besten mit 114 fach und OIII. 290 fach und UHC zeigt ihn auch, ist aber nur mit Mühe zu erkennen.

Kaum mache ich die Beobachtung, kommt ein Wagen den Parkplatz hoch. Der Fahrer steigt aus und schnauzt mich gleich an: "Haben Sie eine Erlaubnis? Wenn nicht, sofort zusammenpacken und raus hier!" Ich bleibe ruhig und er aggressiv. Versuche ihn in ein Gespräch zu verwickeln. Klappt nicht. Ich sage ruhig, dass ich bleibe. Er regt sich fürchterlich auf, flucht und kommt auf mich zu, um mit einer Taschenlampe herumzufuchteln. Wenn ich nicht gleich verschwinden würde, würde er die "Guardia Civil" anrufen, die wären dann in einer Stunde da. Ich verschwinde nicht und versuche mit ihm zu reden, zu beschwichtigen ect. Nix. Er telefoniert, kommt wieder, notiert sich das Nummernschild. Er deutet an, dass dies einen Strafzettel zur Folge haben wird. Glaube ich aber nicht. Dann leuchtet er mit dem Autoscheinwerfer zu mir herüber und macht auch keine Anstalten wieder zu fahren. Ok, sage ihm, dass ich einpacke. 

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/31805281183/in/datetaken/" title="Untitled"><img src="https://farm1.staticflickr.com/734/31805281183_169584b238_b.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Ganz oben auf dem Gipfel.</div>

Frage ihn, wie ich wieder hinaus käme, wenn die Schranken verschlossen seien. Er wurde wieder ruhig und erklärte mir, ich solle runterfahren und vor der Schranke warten. Mache ich. Unten angekommen öffnet sich die Schranke per Fernbedienung. Ich winke, keine Reaktion.

Ich fahre Richtung "Halde". Auf der "Halde" steht ein Fahrzeug. Ok, weiter. Neh, stopp. Zurück. Und gefragt, wie lange er noch bleiben würde. Mann mit Fernglas. Fährt gleich. Ok. Rauf auf die Halde. Wir sprechen kurz. Ich erzähle was mir gerade passiert ist. Er meint, dass mit der Polizei sei so eine Sache. Wenn die Passstraße wegen Schnee gesperrt sei, und man trotzdem an der Schranke unten in Hoya Grande vorbei fahren würde, riskiere man Strafzettel der Polizei, die hier oben dann schon warten würde. Deshalb fahren die Einheimischen oft direkt nach dem Schnee, quasi bevor die Polizei da sei. Er fährt dann auch, nachdem eine Stimme aus dem Wagen ihn dazu drängt. Wir verabschieden uns.

Ich baue auf. Mittlerweile ist der Himmel auch total verzirrt. Zum Glück. So habe ich durch die Aktion nicht noch wertvolle Beobachtungszeit verloren. Meteoblue sagt, die Wolken würden bis fünf Uhr morgens nicht verschwinden. Verdammt. Warte trotzdem noch und auf dem Wolkenradar zeigen sich die ersten Lücken. Nach der Aufregung muss ich erstmal wieder runter kommen. Ich steuere IC 405 an. 

[[IC 405]]: Am besten mit UHC-Filter beobachtbar. Dann wird bei 65 fach um den hellen Stern ein diffuser Nebel sichtbar. Etwas abseits zeigen sich bei geduldiger Beobachtung immer wieder vereinzelt kleinere Nebelfetzen.

Der Himmel ist wieder gut. Offenbar sind die Zirren weg. Cass A mittlerweile auch. Steht kurz vor dem Untergang.

''IC 2461'': Superthin-Galaxie. Kleine recht unscheinbare Galaxie mit hellerem länglichen Zentrum. Achsenverhältnis schätzungsweise 1:10.

Das SQM-L zeigt 22.0 an. Gibt es doch gar nicht. Doch und zwar mehrmals, allerdings pendelnd mit Werten auch um 21.98.

[[Arp 206]]: Helle, leicht gebogene Galaxie mit kleinem unscheinbaren Begleiter. Kann bis auf 420 fach vergrößert werden. Beste Vergrößerung allerdings 290 fach. Es werden ein helles, lang gezogenes Zentrum sichtbar und am nordwestlichen Ende ein kleines gebogenes Stück, in dem sich drei helle Knoten befinden. Im Anschluss setzt sich der Galaxienkörper ein kleines Stückchen weiter fort. An beiden Enden diffus auslaufend. Südwestliches Ende streift recht hellen Vordergrundstern und wird danach zum Ende hin etwas heller.

[[NGC 3242 - Jupiter's Geist]]: Sehr komplexes Objekt. Bei sehr gutem Seeing und zunächst 290 facher Vergrößerung wird ein ovaler Nebel sichtbar, der im Zentrum einen Zentralstern beherbergt. Ihn umgibt eine weitere helle Nebelschale in Form eines ovalen Rings. Dieser hat einen hellen, recht auffälligen Knoten. Insgesamt zeigen sich auf der Nebelschale weitere schwächere Knoten bei zunächst 420 fach und später besser bei ca. 800 fach. An den Enden zeigen sich zudem Ansen, zum Teil mit weiteren Strukturen wie Knoten beziehungsweise kurzen Armen. In der schwächeren äußeren Schale zeigen sich zudem ebenfalls hellere Kanten und Flächen im Inneren. Trotz der hohen Vergrößerung zeigt sich der gesamte Nebel im zarten Grünton. Bin am Ende fast drei Stunden mit der Beobachtung beschäftigt.

Das SQM-L zeigt bei der ersten Messung 22.0 an. Dann doch wieder abfallend auf 21.96. Wintermilchstraße im Großen Hund um 21.6. Horizont mit Wolken 21.36. Gerät funktioniert also. Im Großen Wagen, der mittlerweile im Zenit steht und die dunkelste Region des Himmels darstellt, ist es richtig dunkel. Vergleich zum "Haldenboden" gleich dunkel. SQM-L ist anderer Meinung. Himmel ist heller.

Zwischendurch gönne ich mir Jupiter. Das Seeing ist zwar variabel, in bestimmten Zeitintervallen aber sehr gut. Mit Tendenz jetzt aber klar zum schlechteren hin. Halte noch mit 800 fach drauf. HHmmm, nix gut. Übervergrößert. Die Jupitermonde sind aber schöne runde Scheiben. 420 fach ist auch noch zu viel für das jetzige Seeing. 290 fach geht. Aber leider wenig atemberaubend. Die ING Wetterseite zeigt nur noch 0.6" bis 0.9" an.

[[HCG 51]]: Überraschend lichtschwach. Trotzdem kann man auf 290 fach vergrößern. Dann zeigt sich die hellste Galaxie länglich mit fast sternförmigen Zentrum. An einem Ende zeigt sich eine weitere kleine Galaxie, die in diese hineinragt. Weitere kleinere, ovale, recht helle Galaxie abseits. Beide bilden mit einer weiteren schwachen Galaxie ein kleines Dreieck. Etwas abseits zeigen sich zwei weitere schwache Galaxien.

Der Mond ist im Anmarsch. Die Dämmerung auch. Die SQM-L Werte fallen rasch unter 21.9 und dann 21.8. Der Mond ist aufgegangen. Ich räume in Ruhe ab und fahre heim.

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[[<<Zurück zur vorherigen Nacht|23. Januar 2017 - La Palma]] | [[Weiter zur nächsten Nacht>>|26. Januar 2017 - La Palma]]''

Der Blick schweift vom Berg „El Colmenero“ rüber nach El Castillo (Las Tricias). Nahe der Bildmitte ist das „Restaurante Azul“ klein zu erkennen.

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!!Montaña El Colmenero

Ich konnte mich heute Nacht sehr gut erholen und habe lange geschlafen. Danach überlege ich, was ich heute tun könnte. Ich entschließe mich schließlich die Umgebung zu erkunden. Dabei möchte ich einen kleinen Hügel unterhalb des Hauses erklimmen. Also wandere ich los und finde den Weg dorthin erst mal nicht. Nach ein bisschen Sucherei biege ich dann offenbar in die richtige Piste ein und ein freundlicher Nachbar erklärt mir, dass dieser Hügel, auf dem schöne Kiefern wachsen die “Montaña El Colmenero” heißt. Ich komme recht gut voran und als ich auf dem Hügel stehe ist die Aussicht atemberaubend. Auf dem Weg dorthin hat sich mir ein frei laufender Schäferhund angeschlossen. Als ob er wüsste wo ich hin wollte, weist er mir den Weg. Wahrscheinlich gab es hier schon einige andere Touristen, die dort hin wollten. Auf dem Rückweg zeigt er mir auch den Weg wieder nach Hause.

<div class="tc-link-info-item" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/D5D05C" title="Untitled"><img src="https://live.staticflickr.com/65535/49544089208_b1869d2771_c.jpg" alt="Untitled"></a>Der Hund begleitet mich auf Schritt und Tritt.</div>

!!Die Aussichten sind schlecht

Für heute Abend sind die Aussichten nicht besonders gut. Der Luftdruck ist zwar mittlerweile gestiegen, fällt dann aber wieder auf sein ursprüngliches Niveau zurück. Das ist bedauerlich, lässt sich aber nicht ändern. Die Frage ist, ob es oben Aufklaren wird, oder ob ich im Nebel stehen werde. Unten war es zwar klar als ich zurückkam, aber die Straße war nass. Das lässt den Schluss zu, dass es doch noch mal geregnet hat.

Gestern haben Ernst und ich unsere beiden SQM-Le verglichen. Nun ja, es gab beträchtliche Abweichungen. Ernst‘s Gerät maß 21.7 im Großen Bär, während ich dort 21.9 maß. Im Zenit stand die Wintermilchstraße und dort konkret der Fuhrmann. Ich maß 21.7, Ernst 21.6. Wie auch immer, das ist schon seltsam. In Namibia habe ich bereits mit einem Sternfreund vor ein paar Jahren verglichen und keine Unterschiede festgestellt. Der Himmel war in der ersten Nachhälfte auch aufgehellt. Zwar habe ich da nicht gemessen, aber die Calima kann ja nicht so schnell verschwunden sein. Heute morgen allerdings war sie lt. NOT wieder weg. Nun ja, schwierig. 

Bevor wir gestern aufbrachen habe ich für mich nochmal gemessen. 21.95 im großen Bär. Unten am Haus auch, allerdings mit Tendenz Richtung 21.9. Also am Ende kein Unterschied in der Himmelshelligkeit bzw. wenn nur vernachlässigbar zwischen 2200 m üNN und 1000m üNN. Allerdings was auffällt ist, daß das Airglowband auf 1000m üNN am Haus nicht wahrnehmbar ist, wie oben - Richtung Norden - auf dem Roque. Das habe ich aber schon vor Jahren bemerkt. 

!!Hoch zum Roque...

Ich beschließe auf den Roque zu fahren. Oben sollte es Aufklaren. Die Kameras zeigten schon Wolkenlücken am Nachmittag an. Oben ist es nun tatsächlich teilweise klar, teilweise aber auch bewölkt. Nach Einbruch der Dämmerung zieht es komplett zu. Nieselregen setzt ein. Mist. Ich warte noch und sehe wie ein Auto in der nahe Kurve hält und mit seinem Licht meinen Platz ausleuchtet. Warum in der Kurve? Am Ende steigen zwei Personen aus dem Auto mit hellen weißen Stirnlampen. Das gibt mir definitiv den Rest und ich beschließe endgültig aufzubrechen. Ich fahre an den beiden vorbei und muss erkennen, daß sie ein Zelt aufgebaut hatten. Ja, ein Zelt. Vermute, daß dies ein Fotovordergrund darstellen soll. Aber wer weiß. Vielleicht möchte auch irgendjemand (an einer Kurve) bei Nieselregen kampieren. Ich komme wenig später auch am neuen Besucherzentrum vorbei. Auch hier ist reger Betrieb. Vier Autos und weiße Stirnlampen zwischen den Gebäuden. Ich glaube dies ist ein Vorgeschmack auf die Zeit nach der Eröffnung, die Ende diesen Jahres sein soll. Die Teleskopstellplätze sind dann gut gemeint, aber vermutlich aufgrund des Auflaufs werden sie nicht zu gebrauchen sein. Anders herum: Vielleicht wird es auch zum „Honeypot“ für allerlei Leute, die uns (ernsthaften) Beobachtern das Leben schwer machen. Mal sehen. Auf jeden Fall ist der Parkplatz aktuell durch eine Kette abgesperrt.

<<<.tc-big-quote
<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/n00d97" title="Fuhrmann 3"><img src="https://live.staticflickr.com/65535/49534854277_cb904fd818_3k.jpg" alt="Fuhrmann 3"></a>
Hier das Ergebnis des Mosaiks bestehend aus drei Aufnahmen je 10 Einzelaufnahmen, die gestackt und anschließend zusammengesetzt worden sind.
<<<

!!Wieder unten...

Unten überlege ich was zu tun ist. Und siehe da es klart auf. Und auch hier hat es offenbar geregnet. Ich versuche mein Glück noch mal in den Weinbergen von Puntagorda. Zunächst möchte ich zum Reventon. Aber im Weinberg leuchtet mir vereinzelt Außenbeleuchtung entgegen. LED-Licht. Es sind vielleicht zwei bis drei Häuschen. Aber das wird dann natürlich nichts. Die Lampen stören - im Gegensatz - zu früherer Beleuchtung, die dunkle Umgebung nicht stark. Wenn sie aber ins Blickfeld geraten, tut es fast schon in den Augen weh. Wie auch immer, hier geht es nicht. Der Zeitpunkt ist mit Freitag abends auch ungünstig.  

Ich fahre an einen bekannten Platz vor einem Haus, oder besser fast Ruine, aber dort brennt Licht. Im Haus. Kann zwar nicht erkennen, daß dort jemand ist, aber das wird mir auch zu heiß. Hinter dem Haus befindet sich ein genialer Platz. Zudem ist oberhalb, vielleicht 200m entfernt ein weißes LED-Licht erkennbar, was nicht geht. Eine Kurve weiter ist es nicht mehr zu sehen und ich bin happy. Ich baue an der Straße auf.

Los geht es mit IC 446 im Einhorn. Ich habe allerdings meine Schwierigkeiten mich im reichen Milchstraßenfeld zurechtzufinden. Ich bin auch der Suche nach einem Nebel um einen Stern. Es gibt aber mindestens zwei Kandidaten, z.T. recht hell. Aber beim Starhopping merke ich, dass diese es nicht sein können. Ich erkenne schließlich den richtigen Stern, der in einen zarten, leicht strukturierten Nebel mit kurzen, sternartigen Armen gehüllt ist. Ich sehe aber auch Wolken herannahen, die mich lange nicht tangieren, jetzt aber über den gesamten Himmel reichen. Nach einem Moment ist es wieder klar und ich hole den Beobachtungsstuhl raus mit dem Ziel IC 446 eingehender zu studieren. Und wieder tauchen neue Wolken auf. Wenn es jetzt auch noch regnet,  wäre das sicherlich der Hammer! Also packe ich ein. Das kann jetzt nämlich noch ewig so weiter gehen. Aber es ist halb drei und ich habe bestimmt insgesamt drei Stunden beobachtet. Nicht mit dem Dobson. Viel mit bloßem Auge.

[[<< Zurück zur vorangegangenen Nacht|23. Januar 2020 - La Palma]] | [[Weiter zur nächsten Nacht >>|25. Januar 2020 - La Palma]] 

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Der Endspurt naht. Letzte Nacht. Mal sehen, ob ich heute die Zeitrafferaufnahme nochmal hin bekomme.

[[Humanson 2-1]]: Bei 290 fach und 420 fach ist an der richtigen Position einfach nur ein 11 mag Stern zu sehen. Bin schon etwas entäuscht, genauer genervt. Doch dann zeigt sich bei 560 fach, dass das Beugungsbild des "Sterns" viel weicher ist und die Beugungsringe, wie an zwei gleich hellen Vergleichssternen zu erkennen, nicht zu sehen sind. Also weiter vergrößert auf 1700 fach. Nun zeigt sich in ruhigen Momenten, dass es sich tatsächlich um einen runden, hellen Nebel handelt, der in Momenten perfekten Seeings einen relativ definierten, hellen Ring darstellt, in dessen Zentrum ein Stern zu erkennen ist. Bei längerer Beobachtung zeigen sich die nordöstlichen und südwestlichen Kanten heller. Dies ist aber unsicher. Absoluter Hammer! Seeing 1-2.

[[Weinberger-Sabbadin 5]]: Recht, großer, sehr schwacher Nebel bei 114 fach und OIII im reichen Sternfeld der Sommermilchstraße. Kann indirekt nicht gehalten werden, blitzt aber sicher für mehrere Sekunden immer wieder auf. Erinnert mich an einen Abell. Stern im Nebel stört die Beobachtung. Mindestens zwei weitere Sterne ganz schwach hin und wieder erkennbar, und das trotz OIII bei 114 facher Vergrößerung. Dennoch sichere Beobachtung.

21.84 misst das SQM-L im Mittel jetzt. Mit +14 Grad Celsius ist es angenehm warm. Der Westwind hat sich komplett gelegt. Danach brach das Seeing kurzfristig ein, zu erkennen an den mit bloßem Auge wackelnden Sternen. Jetzt kommt der Wind - für die Region typisch - aus Osten. Kaum spürbar. Ein Hauch. 

[[Peimbert-Costero 22]]: Bei 290 fach länglicher und überraschend heller Nebel. Kann bis auf 800 fach vergrößert werden. Dann zeigt der Nebel die Form eines Rhombus, recht gut definiert, mit helleren Knoten in den jeweiligen Ecken. Die Knoten können - wenn das Seeing perfekt ist - indirekt knapp gehalten werden. Hellster südlich, dann kommen die ost-westlichen und zum Schluss die nördliche, wobei diese z.T. etwas versetzt sind. In der Mitte dunkler. Kein ZS. Sehr interessantes Objekt! Seeing 1-2.

''//Peimbert-Costero 23//'': Schwierig aufzufinden, da mitten in der Sommermilchstraße des Schwans. An der richtigen Stelle ist bei 290 fach mit und ohne OIII-Filter nichts zu sehen. OIII zeigt im Sternfeld auch keine Wirkung, d.h. da auch keiner der Sternen heraus ploppen. Noch 420 fach versucht, aber ohne Filter. Trotzdem nix zu sehen. Vermutlich ist die in ~SkySafari angegebene Helligkeit von 14.69 mag einfach falsch.

[[Minkowski 4-17]]: Bei 420 fach zeigt sich bei geduldiger Beobachtung blickweise ein kleiner Rauchring. Vergrößerung auf 800 fach hat nicht funktioniert, da der Nebel indirekt nicht mehr gehalten werden kann und damit einfach zu dunkel ist. Reagiert gut auf OIII. Trotzdem Beobachtung ohne Fiter vorgezogen.

Das Seeing ist jetzt einfach unglaublich. Sterne die still stehen. Die Beugungsmuster heller Sterne sind hervorragend zu erkennen. Pickering 9/10! Da kann man mal sehen, was man für eine gute Optik hat. Denn normalerweise sind die Sterne bei hohen Vergrößerungen als kleine Bälle zu sehen. 

Die Dämmerung setzt ein. Das war's. Gute Nacht!

[[<<Zurück zur vorangegangenen Nacht|23. Juli 2017 - Pinar de Araceli]] | [[Zurück zum Artikel >>|Pinar de Araceli Sommer 2017]]

Gut angekommen sind wir. Zwar mit über einer Stunde Verspätung, aber zur Mittagszeit sind wir hier. Anschließend sind wir mit diversen Vorbereitungen für die nächste Beobachtungsnacht beschäftigt. Der Himmel ist extrem transparent und blau. Reinhold und ich schieben den 25 Zöller aus dem Schuppen und bauen ihn auf. Bereits zum Sonnenuntergang gibt es Abendessen. Die Dämmerung ist extrem farbenprächtig und verschlägt uns den Atem.

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Die erste Nacht verläuft etwas holprig. Das liegt zum einen daran, dass ich wieder mit der Fotografie gleichzeitig kämpfe. Heute will ich nichts extremes beobachten, sondern diverse Objekte aus letztem Jahr verifizieren. Mathias hat an seinem Platz bereits aufgebaut. Wir teilen uns auch dieses Jahr wieder eine Unterkunft.

Das erste Objekt ist der Tarantelnebel. Die Transparenz ist praktisch bis zum Horizont ausgezeichnet. Anschließend geht es weiter zu M16, M17 und B92. Mathias ruft mich zu seinem Gerät, IC 1283 & 84 stehen an. Aus letztem Jahr kenne ich das schöne Paar Reflexionsnebel. Wir können praktisch alle Details, die ich auch letztes Jahr beobachtet hatte, am 14 Zöller gut nachvollziehen.

Zuvor hat Mathias die „Antennen“ angeschaut. Begeistert ruft er mir zu, dass sie quasi bei genauer Verortung, indirekter Beobachtung und Fieldsweeping gut nachvollziehbar waren! Ich stelle sie mit 25 Zoll ein und kann sie tatsächlich gut erkennen. Sie sind auf Anhieb, d.h. nahe der Galaxie leicht und gut zu sehen.

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Weiter geht es für mich zum „Sombrero“. Mathias bemerkt, dass das Dunkelband, welches die Galaxie teilt, tatsächlich gebogen ist. Blickweise kann ich immer wieder einzelne Strukturen im Staubband erahnen, aber eigentlich ist es erstaunlich, dass sie so schwierig zu erfassen sind. 

Das Seeing ist heute gar nicht gut. Die Sterne wabern und sind auch im Teleskop aufgeblasen. Trotzdem keine schlechte Nacht. Die Temperaturen bewegen sich zur Zeit um den Gefrierpunkt und fallen schließlich bei Mondaufgang um 4:00 Uhr auf -5 °C. Zu diesem Zeitpunkt wird auch der Taupunkt erreicht und einige Sachen sind tatsächlich nass. Erstaunlicherweise war es auch die ganze Nacht etwas windig, wobei ein leichter Zug aus Süden kam und gegen Morgen sogar abflaute. 21.83 konnte ich mehrfach mit dem SQM-L messen.

![[Pavo-Galaxie|NGC 6744 - Pavo Galaxie]]

Auch dies ist eine Nachschau. Habe die Reinzeichnung digital dabei und muss sagen, dass diese ganz gut getroffen ist. In der Tat sieht die Galaxie insgesamt sehr diffus aus, trotz der 25 Zoll Öffnung. Etwas schwierig, aber dennoch gut zu erkennen ist auch die Verbindung zum winzigen Begleiter.

![[Nebel um Antares]]

Ich greife schließlich zum Feldstecher und schaue mir die Nebelgebiete um Antares an. Antares selbst zeigt einen Hof, so hell ist er. M4, der Kugelsternhaufen ist eindeutig als solcher zu erkennen. Das Gesichtsfeld ist 6,5° groß und südwestlich taucht sogar M80 im Gesichtsfeld auf. Er ist aber kaum von den umliegenden Sternen zu unterscheiden, nur ein geringfügig größerer Halo verrät ihn. Interessant jedoch ist das Nebelgebiet aufgrund verschiedener auch schon im Feldstecher erkennbarer Nebel. IC 4604 ist ein Nebel um Rho Ophiuchi. Er zeigt sich im Feldstecher bereits diffus und strukturiert. Östlich liegt IC 4603, der jedoch keine Struktur zeigt.

In einer Stunde fallen die Temperaturen von 0° C auf -5 °C ab. Feucht ist es auch. Der Mond 🌜 geht ohne irgendwelche Verfärbung auf. So gut ist die Transparenz heute.

[[<< Zurück zur Beobachtungsübersicht|Namibia Juni 2022]] | [[Weiter zur nächsten Nacht >>|25. Juni 2022 - Tivoli Astrofarm]]

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Und wieder klar. Heute gab es tagsüber kaum Wind. Reinhold kommt vorbei, um den 25 Zöller leichtgängiger zu machen. Wir heben ihn aus der Rockerbox und reinigen die Laufflächen. Danach bewegt er sich besser. 

Erstes Objekt ist Sh2-308 auf Wunsch der österreichischen Astrofotografen. 

''Sh2-308:'' Die hellsten Teile, d.h. der Halbkreis sind sofort und ohne Probleme erkennbar. Auch die "Schlaufe" im hellsten Nebelsegment.

Mehr Zeit bleibt nicht. Ich muss weiter machen. Weiter geht es mit dem Tarantelnebel. Beobachte mit dem OIII und zeichne die hellsten Gebiete nochmal gezielt nach. 

Beim Kollegen gibt es NGC 2442. Schnell durchgeschaut: Sieht gut aus! Will ich auch haben.

[[NGC 2442|NGC 2442 mit 25 Zoll]]: Fleischerhaken! wie der Mitbeobachter treffend meint. So sieht die diffuse Galaxie mit sternartigem Zentrum aus. Am Nördlichen Bogen im Außenbereich zeigt sich ein hellerer Rand, darunter etwas außerhalb eines schwachen Vordergrundsterns. Dies isst auch die einzige Struktur, die sich sonst erkennen lässt. Direkt neben dem sternförmigen Zetrum in südwestlicher Richtung etwas schwächerer Stern, der noch innerhalb des Glaxienkörpers liegt. Beobachtung bei 280 fach. Das nördliche Ende der Galaxie, das geradlinig und am Ende spitz zuläuft, endet etwa auf der Höhe des Zentrums. Südliche Ende ist deutlich kürzer. Bei Verringerung der Vergrößerung auf 100 fach zeigt sich, dass das nördliche Ende diffus ca. 1/5 der Länge dieses geradlinigen Abschnitts über die Höhe des Zentrum weiter verdfolgt werden kann. Das nördliche Ende ist fast kreisförmig gebogen und bildet lediglich einen Halbkreis, der bei 100 fach ebfalls fortgesetzt werden kann, wobei dieser dann über ca. die Strecke des ganzen Radius des halbkreisförmigen Endes deutlich schwächer, trichterförmig, diffus ausläuft.

[[Henize 2-39]]: Kleiner unscheinbarer PN. Form oval. Kein ZS. Keine Strukturen. Wird von zwei schwachen Sternen eingerahmt. Vergrößerung 670 fach. Steht direkt neben NGC 3114.

''NGC 3114:'' Unregelmäßiger OS mit überwiegend weißen Sternen. Verschiedene Gruppen innerhalb des Sternhaufens sind auszumachen. In der Mitte Dreieck aus helleren Sternen. Weitere helle Sterne im Außenbereich, die in Ketten oder Grüppchen angeordnet sind. 

Es geht weiter mit Schaustücken der südlichen Milchstraße, so Eta-Carinae mit ''Homunculus Nebel''. Die Beschreibung vom [[23. Mai 2015|23. Mai 2015 Tivoli]] passt genau zu meiner Beobachtung.

[[NGC 3199]]: Heller, runder Nebelbogen. Bei 100 fach sehr auffällig im reichen Band der Milchstraße. Mit OIII deutlich z.T. faserig strukturiert, dem Cirrus-Nebel nicht unähnlich. Bei 180 fach und OIII optimale Vergrößerung. Hellster Abschnitt im Westen. Dort zeigen sich auch zwei parallele Bogensegmente. Weiter außen ist sogar ein weiteres äusseres, tangential abgehenden Filament zu erkennen. Nach Norden sind die parallelen Bogensegmente zunächst nicht mehr so stark ausgeprägt, um dann wieder vor einem recht hellen Stern, der im Nebel liegt, wieder markant in Erscheinung zu treten. Hinter diesem verschwinden sie wieder und der Nebel läuft diffus bis zum einem helleren Knoten, der das Ende markiert, aus. Südlich ist der Nebel generell diffus, wobei bei einem Sternpaar wieder das innere Nebelfilament in Erscheinung tritt, um dann endgültig zu verschwinden. Der Nebel läuft diffus aus und nach einer kurzen Unterbrechung zeigen sich zwei ovale, diffuse Nebelreste, einer in der Verlängerung des Nebels und der andere etwas abseits.

Das Seeing ist mies. Die Temperaturen liegen um +7 Grad Celsiue. Das SQM-L misst 21.76 in der Nördlichen Krone, die jetzt den dunkelsten Bereich am Himmel markiert (die Michstraße steht fast im Zenit). Keine überragenden Werte, die wir aber erwartet hatten, als die Sonne heute einen merklichen Hof zeigte und die Dämmerung ungewöhnlich farbenreich war. Mein Mitbeobachter hatte sich vor ein paar Stunden verabschiedet und ist bisher nicht wieder aufgetaucht.

[[NGC 3699]]: Es zeigt sich ein zweigeteilter Nebel mit zwei parallelen Balken. Westlicher Teil zeigt am nordöstlichen Ende einen Haken, während der östliche einfach ein geraden Strich markiert mit Helligkeitszunahme zum südöstlichen Ende. Nach beiden Seiten hin diffus auslaufend. Kein ZS. Beobachtung ohne Filter bei 670 fach. Weder OIII noch UHC hilfreich. Seeing sehr schlecht.

''NGC 6087'': Schöner, unregelmäßiger Sternhaufen, bestehend aus mehreren Dutzend Einzelsternen. Schon mit bloßem Auge sichtbar.

Das SQM-L bricht ein. 21.6 bzw. Werte darunter messe ich jetzt. Offenbar ziehen Zirren durch.

''Norma-Galaxienhaufen'': Dieser Galaxienhaufen liegt in der reichen südlichen Milchstraße. Ohne genaue Aufsuchkarte sieht man hier gar nichts. Hat man jedoch eine zur Hand, lassen sich vereinzelt und schwer einzelne Galaxien beobachten, so z.B. PGC 57343, die oval ist und hinter vereinzelten schwachen Milchstraßensternen hervorscheint. Weitere Galaxie ist unweit entfernt PGC 57335, die klein und linsenförmig ist. Insgesamt ist die Beobachtung dieses Galaxienhaufens sehr schwer. Trotzdem ergeben sich für einzelne Mitglieder schöne Beobachtungseindrücke, wenn man diese Galaxien durch die Milchstraße hindurch schimmern sieht.

''Galaxiengruppe um NGC 6855'': Wenig spektakülär. Hellste Galaxie ist NGC 6855, die mit einer kleineren Galaxie ein schönes Doppel bildet. In etwas Abstand weitere schwächere Galaxien, meist klein und rund. Eine kleine, heller Spndel ist dabei. Keine der Galaxien haben sternartige Zentren.

''NGC 6744'': Riesige Galaxie. Sehr diffus. Spiralarme können erahnt werden. Zentrum hell und oval, aber nicht sternförmig.

''PGC 66000'' oder ''ESO 107-4'': Kleine, helle, leicht ovale Galaxie. Nix spektakuläres. Keine Ahnung, wie die den Eingang in die Beobachtungsliste gefunden hat.

''Terzan 4:'' Ganz schwaches Glimmen in der Nähe eines Sterns. Blickweise treten bei 100 fach einige Sterne hervor. Verliere aber bei Steigerung der Vergrößerung das Objekt.

Zwei Fotografen schauen vorbei. Wir schauen uns gemeinsam M8, M17, M16, M4 und 47 Tucanae sowie als Abschluss den Tarantelnebel an.

[[<<Zurück zur vorherigen Nacht|23. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|25. Mai 2017 - Tivoli Astrofarm]]

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Ich fahre zügig zum Haus. Dort eingetroffen, muss ich feststellen, dass der wunderschöne Ofen ausgebaut worden ist. Meine Vermieterin erklärt, dass die Vermittlungsagentur die Besitzer von Ferienhäuschen gedrängt hat, Öfen aufgrund von Beschwerden von Mietern wegen des rauchigen Geruchs, zu entfernen und durch elektrische Wandheizungen zu ersetzen. Ich bin sehr enttäuscht, und kann es kaum verbergen. Schließlich gehören solche Details zum kanarischen Flair. Aber so ist das nun mal. Zum Sonnenuntergang bin ich abfahrbereit. Am Haus zu beobachten ist keine Option, da eine dicke Wolkenschicht über der gesamten Insel liegt. Ich habe vor wieder zum Reventon oder sogar noch höher bis zum Wasserreservoir am Ende der Feuerschneise zu fahren. Auf der Fahrt dorthin fängt es sogar zu regnen an. Ich lasse mich aber nicht beirren und fahre bis ganz hoch, um etwas Abstand zur Wolkendecke zu bekommen. Es ist sogar hier oben fast windstill, entgegen der Prognose. So bin ich schließlich zur astronomischen Dämmerung beobachtungsbereit. Man merkt sofort, dass der Winter vorbei ist. Denn es dauert bestimmt zwei Stunden bis es so kalt wird, dass Winterklamotten angesagt sind.
Lt. Handy befinde ich mich auf 2020 m üNN. Bin noch von Bäumen umgeben, aber die Baumgrenze ist in Sichtweite. 

__[[Kohoutek 3-94]]__: sehr kleiner, runder Nebel, der auf OIII-Filter sehr gut reagiert. Am besten bei 420 fach. Ohne Filter ebenfalls recht gut erkennbar. Kann indirekt knapp nicht gehalten werden. Mit Filter hingegen schon. Kein Zentralstern zu sehen.

Im Westen ziehen ein paar dichtere und hohe Wolkenbänke durch. 

__[[NGC 3079]]__: Helle, langgezogene, leicht gebogene Galaxie. In der Nähe ist PGC 28990 linsenförmig und leicht zu sehen, sowie NGC 3073 hell und rund.

Im Beobachteratlas wird auf einen Doppelquasar hingewiesen. Den knöpfe ich mir nun als erstes Detail vor. 

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''QSO 0957+561 A/B'':
Zunächst beobachte ich bei 290 fach. An der richtigen Stelle wird ein stellares Objekt sichtbar, das indirekt gehalten werden kann. Ich gehe schließlich mit der Vergrößerung auf 430 fach hoch.
Nach einer Weile werden tatsächlich zwei sehr enge stellare Objekte sichtbar. Die Orientierung der beiden Punkte deckt sich auch mit dem POSS. Beide können indirekt nicht gehalten werden, blitzen aber sicher immer wieder für drei-vier Sekunden sicher auf. Der Doppelquasar ist eindeutig an der richtigen Stelle und das hellste Objekt. Laut Atlas, soll dieses Objekt erst ab etwa 20 Zoll Öffnung zu erkennen sein. Die positive Sichtung kann mehrfach wiederholt werden, so dass ich sie als sicher einstufe. Der in der Nähe befindliche Stern KR Ursae Majoris ist lt. Sky Safari 16.25 mag hell und direkt sichtbar. Der Doppelquasar hingegen 16.5 und 16.7 mag. Das Objekt ist 6 Milliarden Lichtjahre entfernt. Erstaunlich! Das lag Seeing lag laut WHT bei 1.1+-0.5". Auf Wikipedia gibt es hierzu noch [[weitere Informationen|https://de.m.wikipedia.org/wiki/Q0957%2B561]].

__Kommentar__: Am nächsten Tag habe ich recherchiert, ob die Beobachtung überhaupt möglich ist. Lt. [[dieser Seite|http://www.otterstedt.de/wiki/index.php/Berechnung_der_visuellen_Grenzgröße_aus_der_Teleskopöffnung]] gibt es zwei Formeln zur Berechnung der visuellen Grenzgrösse. Sie liegt um 16.9 (Formel 1) und 15.51 mag für einen 16 Zöller. Bei der Formel 1 geht dabei auch die "Teleskop Transmission" ein, die bei 70% angenommen wird. Insgesamt wird aus meiner Sicht die Beobachtung damit __nicht__ in Frage gestellt. Im Gegenteil.

SQM-L 21.7. Temperatur +4°C.

Die Beobachtung des Doppelquasars erinnert mich ein bisschen an die Beobachtung von HCG 55 im Dezember letzten Jahres. Auch hier konnte ich blickweise immer wieder die Einzelkomponenten der Galaxiengruppe erkennen. Das zeigt, was unter einem dunklen Himmel mit gutem Seeing tatsächlich möglich ist.

Ich möchte mich jetzt dem eigentlichen Beobachtungsobjekt, der Galaxie selbst zuwenden. Plötzlich sehe ich, wie die Wolken bedrohlich nahe kommen. Schließlich stehe ich im Nebel. Ich harre noch etwas aus, aber als schließlich stellenweise Nieselregen einsetzt, baue ich schnell ab. Schade. Das war's für diese Nacht. Offenbar war der Grund für die aufsteigenden Wolken, fallender Luftdruck. Auch der Roque war kurze Zeit später dicht, was sich am nächsten Tag an den Aufzeichnungen der Wetterstation schön ablesen ließ. Immerhin vier Stunden sehr gute Bedingungen. Am Ende dieser Nacht war es ziemlich knapp, denn als ich losfuhr, waren es nur noch +2°C. Die Straße ist extrem steil. Komme aber heil runter.

[[<<Zurück zum Artikel|La Palma im März 2017]] | [[Weiter zur nächsten Nacht >>|25. März 2017 - La Palma]]

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/409Zsb"><img src="https://live.staticflickr.com/65535/49697975322_0e7c595ddf_h.jpg" ></a>Blick von der Langen Rhön rüber auf die Wasserkuppe (unten rechts). Der Himmel ist heute sehr gut.</div>

Die Coronakrise schreitet voran. Das diesjährige Treffen der Deep Sky Beobachter (DSM) ist bereits vor zwei Wochen ausgefallen. Am Samstagmorgen ziehen Wolken aus Norden kommend über das Land und es regnet. Auf der Wasserkuppe schneit es. Die Temperaturen sollen bis auf -5 °C am kommenden Sonntagmorgen fallen. Ich bin am überlegen, ob ich fahren soll. Es ist eine schwierige Entscheidung, aber ich gefährde mich und andere nicht, wenn ich auf der Wasserkuppe beobachten sollte.

Mein Dobson steht noch zusammengepackt vom La Palma Trip im Keller und muss noch zusammengebaut werden. In der Kälte und bei Wind ist das auf der Wasserkuppe natürlich nichts. Wind bis 60 km/h ist vorhergesagt, was eigentlich niemand braucht.

Interessanterweise hört man Flugzeuge über Frankfurt, d.h. es gibt schon noch Flieger, die abheben. Krass! Ich kann sie heute gut hören, da aufgrund des Nordostwindes die Flieger Richtung Norden abheben und die Stadt überfliegen.

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6179xo" title="Untitled"><img src="https://live.staticflickr.com/65535/49696878356_80225c2f62_k.jpg"></a>Gegen 01:00 Uhr konnte ich mit dem SQM-L mehrfach Werte um 21.9 im Kasten des großen Wagen messen. Das scheint mit Blick auf die All Sky Aufnahme plausibel. Der Himmel ist dabei ab Mitternacht nochmal deutlich dunkler geworden. Der Gegenschein ist schwach im Sternbild Jungfrau (oberhalb des Rabens erkennbar). Die Lichtbrücke auch.</div>

!!Erst mal die besten Nächte liegen lassen

Ich entscheide zunächst nicht zu fahren und lasse wirklich gute Nächte aus. Am [[24. März|24. März 2020 - Coronanacht in der Langen Rhön]] halte ich es nicht mehr aus. Ich muss los!

Das Teleskop wird zusammengebaut und dann das Auto geholt. Desinfizieren!!!! Dann Verladen und los geht es. Verkehr gibt es, aber nicht viel. Mathias möchte allerdings nach mehreren sehr guten Nächten heute eigentlich nicht mehr kommen. Als ich ihn kontaktiere, sagt er dann doch spontan zu. 

Allerdings gibt es heute eine Überraschung: ich fahre nicht auf die Wasserkuppe, sondern an einen Platz in der Langen Rhön. Diesen hatte ich vor Jahren das letzte Mal aufgesucht. 

Gegen 19:30 Uhr treffe ich schließlich ein. Die Dämmerung ist im vollen Gange, aber noch nicht abgeschlossen. Suche auf dem Platz, der asphaltiert ist, die beste Position. Hintergrund ist die Tatsache, dass der Ostwind doch recht frisch ist und sogar am Ende der Nacht noch mal deutlich zulegen wird. Ich versuche mich vor ihm zu verstecken.

Transparenz ist heute gut. Laut Wetterstation haben wir -3 °C und 43 % relative Luftfeuchte.

Der Platz verwandelt sich schnell in einen Eisschrank. Beim Auspacken zeigt das Thermometer im Auto noch +1 °C an. Nach einer halben Stunde sind es schon -1 °C. Ich beginne mit dem Aufbau und da trifft tatsächlich auch Mathias ein. Konnte ihm die Daten des Beobachtungsplatzes im Vorfeld kurz durchgeben, war aber nicht sicher, ob er es finden würde. Aber er hat es gefunden! Wir bauen unsere Teleskope auf. Halten aber Abstand.

Wir inspizieren den Horizont und sehen auch die helle Venus. Uns fällt dabei auch das Zodiakallicht schwach auf. Leider steht es über dem Lichtverschmutzungskegel der „Sternenstadt“ Fulda. Dennoch sind seine Ausläufer wahrnehmbar. 

!!Der Himmel ist heute richtig gut

Ich mosere aber erst mal über den im Vergleich zu La Palma schlechten Himmel. So schlecht kann aber gar nicht sein, denn als ich wieder einen Blick auf M81 werfe, bin ich sehr angetan. Im Vergleich zu La Palma fehlt dem Objekt deutlich Kontrast, aber verglichen mit der Sierra de Segura und der Beobachtung um Weihnachten herum, ist der Unterschied nicht sehr groß. 

Gegen 21:30 Uhr mache ich die ersten Messungen mit dem SQM-L. Im Kasten des großen Wagens ist es am dunkelsten. 21.7 im Mittel! Wow. Derweil merkt man, dass kaum Flugzeuge unterwegs sind und ich deshalb auch All Sky Aufnahmen machen kann. Normalerweise werden diese durch Flugzeuge ruiniert. Aber heute nicht. Dennoch bin ich überrascht, dass es immer noch so viele Flugbewegungen am Himmel gibt.

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/09D710" title="Untitled"><img src="https://live.staticflickr.com/65535/49709487791_9493ed318c_h.jpg"></a>Die Sommermilchstraße geht auf und krönt diese grandiose Nacht.</div>

!!Ich beobachte heute nur ein Objekt

Ich widme mich [[M51]]. Habe eigentlich nicht vor eine Zeichnung zu machen. M51 ist bei 65 fach schon als sehr strukturiertes Knäuel erkennbar. Am schönsten dann bei 114 fach. Bei 290 fach sind in den Spiralarmen sogar vereinzelt Strukturen erkennbar. Es sind hellere Balken, sternartige Knoten und Sterne innerhalb des Galaxienkörpers und der Spiralarme sichtbar. Das Seeing ist auch gut. Am Ende mache ich doch eine Zeichnung und nehme mir vor die Reinzeichnung morgen anzugehen. Insgesamt beobachte ich M51 vier Stunden, mit einigen kurzen Pausen.

Der Himmel legt weiter zu. Es wird dunkler. Die SQM-L Werte gehen Richtung 21.8 bzw. sogar darüber hinaus (21.87 und 21.85 gegen 22:30 Uhr, um Polaris 21.6). Gegen Mitternacht ist Vega bereits gut zu sehen. Allerdings scheint sie gegenüber dem Himmel auf La Palma deutlich abgedimmt zu sein. Der Himmel über La Palma ist halt deutlich transparenter. 

Dennoch bleibt festzuhalten, dass der Himmel aufgrund der abgeschalteten Beleuchtung im Laufe der Nacht deutlich verbessert. Bis Mitternacht muss man allerdings schon warten.

!!21.9 im Zenit?!

Um 0:30 Uhr messe ich 21.9 im Zenit im Mittel. Die Werte waren 21.95 & 21.87 und 21.91. Wahnsinn! Kann es nicht glauben und bleibe ungläubig.

<<<
Auf den All Sky Aufnahmen erkenne ich später, dass sogar der Gegenschein, der aktuell sehr tief (oberhalb des Sternbild Rabe steht) gut zu erkennen ist. Auch die Lichtbrücke ist auf den Fotos schwach drauf. Auf La Palma ist sie bei ähnlich dunklem Himmel aber deutlich heller! Ich vermute, dass der Himmel der Rhön aufgrund der standortabhängigen größeren Extinktion bei vergleichbaren meteorologischen Bedingungen mit niedriger Luftfeuchte (ca. 40% heute) zwar ähnlich dunkel, aber nicht so transparent ist. Auch Sirius war heute im Vergleich zu La Palma vor zwei Monaten deutlich schwächer wahrnehmbar.
<<<

Mathias packt ein und fährt nach Hause. Ich bleibe unter diesem Wahnsinnshimmel hier zurück. Leider nimmt jetzt der Wind zu und der Genussfaktor deutlich ab. Ich beobachte immer noch M51. Am Ende bin ich gegen zwei Uhr einfach nur froh, dass ich wieder im warmen Auto sitze und auch nach Hause fahren darf. Die Rhön hat mich mal wieder überrascht und lässt mich ratlos zurück. Warum gibt es solche Nächte nicht auch im Herbst oder im Winter?

[[<< Zurück zum Artikel|Frühjahr 2020]] | [[Weiter zur nächsten Nacht >>|11. April 2020 - Ostersamstag]] 

Zwei Wochen später geht es weiter. Zunächst mit Calima Himmel, der uns farbenfrohe Sonnenuntergänge beschert.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1N6n91" title="Sonnenuntergang über Birx"><img src="https://live.staticflickr.com/65535/51962101383_cb763c3f03_k.jpg"  alt="Sonnenuntergang über Birx"></a>

!Weisser Zwerg - Sirius B

20 Uhr, Lange Rhön, ich bin am Beobachtungsplatz. Bedingungen sind sehr gut. Praktisch windstill, sehr gutes Seeing. Erstes Objekt ist Sirius B. Kann leicht bei 378x neben Sirius A erkannt werden. Das ist schon mal sehr gut!

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4i9d67" title="Sirius B"><img src="https://live.staticflickr.com/65535/51960599200_d001023f24_k.jpg" alt="Sirius B"></a>

Weiter geht es zu IC 349. Dauert eine halbe Ewigkeit bis ich das Sternfeld identifiziert habe. Trotz geduldiger Beobachtung wird der kleine Knubbel nicht sichtbar. Ein paar Mal vermutet, auch an der falschen Stelle, am Ende gebe ich auf. Morgen gibt es eine neue Chance.

Der Himmel ist diesig. Ursache ist Saharastaub. Trotzdem lassen sich einige Dinge gut beobachten. Allen voran Kugelsternhaufen.

Dann erschrecke ich mich, plötzlich ist ein komisches Geräusch zu hören. Ich schaue nach Westen und sehe wie sich ein Vogelschwarm nähert. Schon ist der über uns, und man hört deutlich die Flügelschläge und sehr große Tiere mit einer enormen Flügelspannweite. Störche? Mathias tippt auf Kraniche. Wahnsinn!

Die ganze Nacht über bleibt der Himmel mittelklassig. 21.44 Im Zenit. Mich zieht es zu den Kugelsternhaufen. Ich lande schließlich bei M5.

![[M5]]

Schöner, heller und kompakter Kugelsternhaufen. Am besten im Bino. Helles,  ovales Zentrum mit prominenterem Stern in der Mitte. Das Zentrum kann vollständig aufgelöst werden. Es zeigt sich oval und praktisch von der Sternhelligkeit bis auf die voran genannte Ausnahme quasi homogen. Am Rand tauchen dann hellere Sterne auf, insbesondere direkt am Rand im Osten ist eine Sterngruppe sehr gut zu erkennen. Darüber hinaus Sternketten, die über das 4-5 fache des Durchmessers hinaus gehen. Zum Teil recht komplex. Trotzdem wunderschön. Selbst im Vergleich mit M13.

Entfernt sehen wir immer ein wieder ein Auto die Wege rein fahren. Wir rätseln, was das soll. Mal hier, mal dort. Einmal denken wir schon, dass wir gleich mit hellem Licht konfrontiert werden, aber dann hält der Wagen plötzlich und dreht um.

[[<< Zurück|Frühjahrsauftakt in der Rhön]] | [[Weiter >>|25. März 2022 - Lange Rhön]]

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[[M15]]

{{M15}}

[[M57 - Ringnebel]]

{{M57 - Ringnebel}}

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Lange Rhön. Hotelzimmer gibt es keine mehr weit und breit. Na gut, dann halt wieder nach hause gurken. Habe nämlich vor eine weitere Nacht zu beobachten. Dann morgen woanders hin, denn das ist mit der Fahrerei zu weit. Aber jetzt bin ich erstmal hier. Bin immer wieder erstaunt wie kalt es hier oben auf 800m ist. 15° Celsius und das bei Sonnenuntergang. Die Temperaturen fallen auf 7-9 °C. Frisch also. Kompletter Himmel verzirrt. Süden und Südwesten komplett zu. Nachdem ich die letzten Wochen einige hochkarätige Chancen ausgelassen hatte, habe ich mich endlich aufgerafft. Das Problem ist, dass immer eine Wetterprognose Wolken vorhersagt. Beim Prüfen der Wetterstationen, ärgere ich mich dann meistens gewaltig, da es dann doch klar ist. Für heute sind die Wetterprognosen natürlich auch widersprüchlich. Einzig Meteoblue und in Wetteronline haben richtig vorhergesagt, denn es ist bewölkt.

!!!Die Bedingungen sind zunächst schlecht

Nur im Zenit gibt es einen größeren klaren Bereich. Zum Glück steht da mein erstes Objekt: M57. Das Seeing ist sehr schlecht und da ich nicht ausschließen kann, dass ist der Spiegel ist, wird er noch mal ausgiebig gelüftet. Es liegt natürlich nicht am Spiegel und so muss ich das ganze ertragen. Aber die gute Nachricht ist, dass es sich im Laufe der Nacht verbessert und zum Schluss gut (Pickering 6) ist. 

__[[M57 - Ringnebel]]__: Zentralstern bei gutem Seeing immer wieder Blickweise sichtbar. Westlich weiterer schwacher Stern erkennbar. Dieser ist allerdings sehr, sehr schwer zu sehen. Südwestlich im Nebel weiterer Stern. Zunächst als Nebelbällchen identifiziert, dann jedoch bei besser werdendem Seeing eindeutig als Stern gesehen. Etwas heller als der Zentralstern. Nebel insgesamt sehr hell und von der Form eindeutig oval mit diffusen Ohren.

Nach einer Stunde ist die Zeichnung im Kasten. Der Himmel sieht übel aus. Kaum eine Stelle an der es nicht hohe Wolken gibt. Denke an Abbrechen. Aber es geht ja um helle Planetarischen Nebel und die sollten gehen.

''__[[NGC 6826 - Der blinkende PN|https://www.flickr.com/photos/106029581@N02/30174666415/in/datetaken]]__:'' Schon im Übersichtsokular als runder Nebel mit hellem ZS erkennbar. Bei 420 facher Vergrößerung oval mit hellen gegenüberliegenden Knoten auf einer äußeren Nebelschale. Innere kleinere Schale etwas heller. Im Norden hat die äußere Schale hellere Kante.

Es kommen immer mal wieder Autos vorbei. Ist etwas nervig. Kann man aber wohl nix machen. Irgendwo einen Weg reinfahren ist verboten. Naturschutzgebiet.

''__[[NGC 6857]]__:'' Bei 56 fach schon gut erkennbar. Sogar bei 290 Fach noch hell. Reagiert auf Filter. Am besten gefällt mir der UHC. Diffus mit zwei Kanten, die Spitze eines Dreiecks bilden. Basis nicht vorhanden. Eine Kante heller. 

SQM-L 21.1 zu Beginn. 21.45 um 0:18 Uhr.

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;">
<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29286386644/in/datetaken/" title="Untitled"><img src="https://c5.staticflickr.com/9/8228/29286386644_26dcf9b533.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Der Mond geht gegen 01:00 Uhr auf.
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Nun geht es weiter in die M15 Region. Zunächst stelle ich M15 selbst ein. Dann geht es weiter zu einem Planetarischen Nebel ganz in der Nähe.

''__[[NGC 7094]]__:'' Ringförmiger Planetarischer Nebel um einen schwachen Stern. Schon bei 56 facher Vergrößerung ganz schwach erkennbar. Bei 114 facher Vergrößerung und OIII Filter wird ein Ring sichtbar. Westlicher Teil des Rings heller mit Knoten im Westen. Weiterer hellere Kante im Südosten.

Der Himmel wird deutlich besser. Die Kassiopeia jetzt fast im Zenit. Bis zum Mondaufgang fehlen noch 30 Minuten. Jetzt setze ich mich an M15. Wunderbarer Anblick bei 420 fach.

''__[[M15]]__:'' Zentrum hell und fast nicht 100% auflösbar. Erstaunlicherweise findet man dort das helle Zentrum um einen Stern beziehungsweise eine Sternengruppe in Form einer Erdnuss. Am konvexen Ende nimmt die Helligkeit langsam ab. Auf der konkaven Seite hingegen dunkler.

So es ist 1:00 Uhr. Die im Westen stehenden Zirren werden schon deutlich angestrahlt. Es ist der Mond. Also packe ich alles ein und als ich fertig bin, ist der Mond sehr schön zu sehen. Die Luftfeuchtigkeit hielt sich diese Nacht in Grenzen, obwohl jetzt die Frontscheibe von Innen beschlagen ist. Knapp 80 % würde ich schätzen. Der Himmel ist jetzt fast klar und die Milchstraße strukturiert. Schade dass dies am Anfang nicht so war. Trotzdem eine gelungene Nacht.

[[Weiter zur nächsten Nacht>>|25. September 2016 - Stumpertenrod]]

Hätte nicht gedacht, dass es diese Woche sogar noch mal eine klare Nacht geben würde. Schon gestern Abend klarte es auf. Gegen Mitternacht sollte aber der Himmel wieder zuziehen. Also bin ich lieber zu Hause geblieben.
Heute aber sollte es sogar noch besser werden. Gegen 16:00 Uhr klarte es endlich in Frankfurt auf. Um 20:00 Uhr ging es schließlich los und kurz vor Sonnenuntergang war ich in Stumpertenrod. Dies sollte die letzte Beobachtungnacht vor der Sommersonnenwende werden und - da die Nächte nicht mehr richtig dunkel wurden -  bis Ende Juli die letzte Beobachtungnacht.

<a href="https://www.flickr.com/photos/106029581@N02/14078410780"><img src="https://farm3.staticflickr.com/2906/14078410780_cb2c7d4dac_z.jpg"></a>

Ich traf kurz vor Sonnenuntergang ein. Am Himmel zeigten sich abziehende Zirruswolken. Am Platz - wie erwartet - ein Paar Leute. Ich suchte mir wieder einen gepflasterten Platz. Es war frisch und es ging eine leichte Brise aus Süd.

<a href="https://www.flickr.com/photos/106029581@N02/14078495507" title="  by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3786/14078495507_52edda889d_z.jpg"></a>

Mein alter Platz ist belegt, so dass ich etwas abseits aufbaue.

<a href="https://www.flickr.com/photos/106029581@N02/14078483867"><img src="https://farm3.staticflickr.com/2905/14078483867_d331d1fae5_z.jpg"></a>

Blick nach Süden mit dem Besenstiel Dobson im Vordergrund. Eine fehlende, weil kaputte Stange, sowie daraus resultierende Stablisierungsmaßnahmen münden in die Montage eines Besenstiels ;) Ist in der Tat sehr stabil!

<a href="https://www.flickr.com/photos/106029581@N02/14078404200" title="  by Olivito Astro, on Flickr"><img src="https://farm3.staticflickr.com/2930/14078404200_50942aee51_z.jpg"></a>

!!24.05.2014 Stumpertenrod 22:00 - 03:30 Uhr

Leichter Wind aus Süd. Trocken später dann wird der Taupunkt erreicht. Trotzdem angenehm bis auf die auf +6° Grad recht kalten Temperaturen.

<a href="https://www.flickr.com/photos/106029581@N02/14265520624" title="P1030614 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3759/14265520624_8b1afa3cd2_z.jpg"></a>

Dämmerung mit abziehenden Wolken im Nordwesten.

*''Mars'': Erst nicht so toll. Nach ein wenig Beobachten wird das Seeing aber blickweise sehr gut. Bei 300 fach lassen sich tatsächlich ganz klar Strukturen erkennen wie die Polkappen. Kurz schwenke ich auf Polaris, um die Kollimation zu optimieren. Gibt es aber nichts zu optimieren. Schöne konzentrische Beugungsringe zeigen sich, die sich auch kaum verformen. Also ist das Seeing wirklich gut. Zurück zum Mars: Blickweise zeigen sich immer wieder sehr klar am Planetenrand in südlicher und nördlicher Richtung zwei weiße Flecken, wobei der südliche deutlich größer ist. Nördlich scheint es sich wirklich um die berühmte Polkappe zu handeln, dass kann man deutlich sehen, da Größe und Form und sogar am Rand die Strukturen eindeutige darauf hindeuten. Aber auch auf der gegenüberliegenden Seite zeigte sich sogar ein größeres Areal, dass aber nicht von runder Gestalt war. Ein Blick in Sky Safari bestätigt die Beobachtung mit Ausnahme der südlichen Polstruktur. Vielleicht sind es ja Wolken oder das Seeing spielt einen Streich ? Weiterhin sind am Planetenrand Dunkelstrukturen erkennbar. Es deutet sich zudem eine kaum merkliche Phase des Planeten an.

<a href="https://www.flickr.com/photos/106029581@N02/14079251949" title="P1030619 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3702/14079251949_c204b8e992_z.jpg"></a>

Mars im Blick. Rechts oben das Himmels-W.

*''Cor Caroli - Alpha2 CVn'', Variable Double Star in Canes Venatici, 24.05.2014 23:32:21: Schöner Doppelstern. Eine Komponente deutlich heller. Beide schneeweiß.
*''Zeta Bootis'', Double Star in Bootes, 24.05.2014 23:37:56: Leider nicht zu trennen. Seeing ist mittlerweile zu schlecht. Bzw. der Abstand mit 1" zu klein, jedenfalls im Moment :)
*''Silver Needle Galaxy - NGC 4244'', Spiral Galaxy in Canes Venatici, 24.05.2014 23:47:58, Silbernadel mit leichtem zentralen Bulge. Am Besten bei 9mm, da der Himmel noch nicht ganz dunkel ist. 21.2 im Zenit. + 6° Celsius. Nochmal geschaut. Bei 114 fach zeigt sich der zentrale Bulge etwas heller als der Rest der Gx.
*''NGC 4147'', Globular Cluster in Coma Berenices, 25.05.2014 00:08:34: Auf den Weg zu UGC  7170 gefunden. Kleiner Kugelsternhaufen mi Helligkeitszunahme zum Zentrum hin. Wirkt dreieckig. Bei 168x ist er fast aufgelöst. Schwache Sterne hinterlassen aber weiterhin einen nebligen Eindruck. SQM-L 21.21.
*''UGC 7170'', Spiral Galaxy in Coma Berenices, 25.05.2014 00:41:32, Leider nichts zu sehen. 114x und 168x versucht.
*''NGC 5248'', Spiral Galaxy in Bootes, 25.05.2014 00:59:07: Schöne Balkenspirale. Helles diffuses Zentrum. Zentraler Balken von dem zwei Spiralarme abgehen. 114x und 168x.
*''NGC 5582'', Elliptical Galaxy in Bootes, 25.05.2014 01:32:17: Kleine ovale Gx mit deutlicher Helligkeitszunahme zum Zentrum hin. 114 fach. Beim Aufsuchen von UGC 9242 gefunden.
*''UGC 9242'', Spiral Galaxy in Bootes, 25.05.2014 02:09:29, Bei 114x taucht an der richtigen Stelle nach kurzer Zeit eine kleine Nadel auf. Edge-On Gx. Recht schwer zu sehen!
*''Cat's Eye Nebula - NGC 6543'', Planetary Nebula in Draco, 25.05.2014 02:30:57, Bei 56x bereits als kleines grünes helles Scheibchen zu erkennen. Bei 300 fach immer noch sehr hell. Es zeigt sich ein ovaler heller Nebel mit Zentralstern, der am Ende spitzer zu werden scheint. Der Nebel gewinnt nochmal an Größe bei indirekter Beobachtung, denn dann wird ein runder schwacher und sehr diffuser Halo sichtbar. Der ovale, sehr helle Nebelteil um den Zentralstern ist trotz der hohen Vergrößerung eindeutig grün. Blickweise deuten sich Strukturen im Nebel an. Hier müsste man nochmal höher vergrößern. Leider habe ich hierfür kein Okular.
*''Ring Nebula - M 57'', Planetary Nebula in Lyra, 25.05.2014 02:48:52: Wegen des offensichtlich guten Seeings eingestellt. Ziel ist der Zentralstern, der blickweise dann auch sichtbar wird. Zunächst zeigt sich aber ein weiterer schwacher Stern, der aber nicht zentral, sondern etwa zwischem dem Zentrum und dem Nebelrand steht. Dann schließlich zeigt sich auch der Zentralstern immer wieder blickweise. Nach Betrachten eines Fotos am Folgetag befand sich der beobachtete Stern zwischen Nebelrand und Zentralstern tatsächlich auch an der richtigen Stelle!
*Zum Schluss noch mal ''M13'': Wirklich super Seeing. Bei fast 300 fach bewegt sich fast nichts. Der Kugelsternhaufen steht mittlerweile auch fast im Zenit. 

Im Westen ist es schon mächtig hell. Die Sommermilchstraße verblasst. Heute war hier die Milchstraße fast von Horizont zu Horizont zu sehen. Lediglich im Osten war bis knapp über den Horizont eine kleine Lichtglocke zu sehen. Im Süden hingegen war die Sternwolke im Schützen knapp über dem Horizont ein schöner Anblick.

Die Luftfeuchtigkeit steigt wie vorhergesagt gegen 3:00 Uhr relativ stark an. Zwischenzeitlich sind die Okulare, die ich auf dem Tisch habe liegen lassen, leider auch beschlagen und müssen immer wieder mit der Hand angewärmt werden. Erstaunlicherweise hält aber der Fangspiegel durch. Es ist mit +6 °C aus sehr frisch geworden. Die Nacht war erwartungsgemäß hell. Das SQM-L zeigte Spitzenwerte unter 21.4 an. 

<a href="https://www.flickr.com/photos/106029581@N02/14242775126" title="P1030623 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3741/14242775126_9d30cc7cf0_z.jpg"></a>

Einsetzende Morgendämmerung. Am Horizont der Perseus und rechts oben die Cassiopeia.

Um 3:30 Uhr packe ich alles zusammen. Einige Minuten später bin ich dann unterwegs. Mit der Rückfahrt und bis das Auto dann anschließend wieder ausgeräumt ist bin ich noch bis 5:00 Uhr beschäftigt.

Leichter Wind aus östlichen Richtungen. Vorhersage für diese Nacht ist wieder exzellent. Es soll nahezu windstill sein, was ist dann tatsächlich auch ist. SQML-Werte 21.5-21.6 im Zenit. 

<a href="https://www.flickr.com/photos/106029581@N02/15089500936" title="  by Olivito Astro, on Flickr"><img src="https://farm6.staticflickr.com/5552/15089500936_c619372bb1_z.jpg" alt=" "></a>

<a href="https://www.flickr.com/photos/106029581@N02/15089383606" title="  by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3926/15089383606_65256826f4_z.jpg" alt=" "></a>

*22:50 Uhr - Erstes Objekt ist ''Terzan 1'': Nördlich eines Dppelsterns zeigt sich bei 168 fach ein kleiner unscheinbarer verwaschener Fleck. Indirekt blitzen immer wieder Einzelsterne auf. Westlich ist ein schwacher Stern zu erkennen. Unklar ist, ob er zum KS gehört oder nicht.

*23:25 Uhr - ''Terzan 5'': Bei 168 fach zeigt sich ein ganz schwaches rundes Glimmen zwischen zwei schwachen Sternen. Der KS wird von diesen geradezu eingerahmt. Nördlich taucht bei indirekter Beobachtung auch noch ein weiterer noch schwächerer Stern auf, der aber offensichtlich nicht zum KS dazugehört. Keine Einzelsterne gesehen.

*01:40 Uhr - ''Abell 44'': Ganz schwaches Glimmen um einen sehr schwachen Stern. Der Stern steht aber nicht mittig. Nur hin und wieder aufblitzend aber reproduzierbar. Nur mit genauer Karte auffinbar. 114 fach und OIII. Schwer!

*02:00 Uhr - ''NGC 7006'': Kleiner runder Nebel bei 56 fach, Der aber zum Zentrum hin deutlich heller wird. Bei 450 fach ist er granuliert und im Zentrum blitzen unscheinbar Einzelsterne auf. Seeing ist unglaublich gut! Selbst bei 450 fach lassen sich Sterne exakt scharf stellen!

<a href="https://www.flickr.com/photos/106029581@N02/14968837047" title="P1030665 by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3863/14968837047_47940fcc10_z.jpg"></a>

*03:30 Uhr - ''Abell 63'': Sehr kleiner runder Nebel, der bei 114 fach und OIII indirekt nicht ständig zu halten ist. Trotzdem sichere Beobachtung, da mehrfach nach Pausen sichtbar. In der Mitte blitzt immer wieder ein Stern trotz des Filters auf.

Gegen 04:00 Uhr schaue ich mir noch mal intensiv mit bloßem Auge den Sternenhimmel an. Der Gegenschein ist im Wassermann leicht und eindrucksvoll sichtbar. Die Lichtbrücke ebenfalls, wobei diese vor allem am frühen Morgen am besten zu sehen ist.

*05:15 Uhr - ''IC 349'': Nachschau - Seeing ist heute nochmal besser. Bei ca. 800 fach ist ein ovaler Nebel direkt neben Merope zu sehen. Einfacher zu sehen als gestern, da aufgrund der höheren Vergrösserung jetzt deutlich vom Strahlenkranz von Merope getrennt.

*05:35 Uhr - ''UGC 11909'': Kleine unscheinbare Galaxie. Bei 114-168 fach zeigt sich eine kleine obale Galaxie mit Helligkeitszunahme zum Zentrum hin. Sehr schöner Anblick mit dem reichen Milchstraßenfeld.

Letztes Objekt ist M42: Trotz des niedrigen Höhe zeigt sich der Nebel bereits sehr gut. Auch das Seeing ist gut. Nach längerer intensiver indirekter Beobachtung erscheint das Zentrum grünlich bis eisblau und die Schwingen rostbraun. Am besten bei 56 fach sichtbar. Ab 114 fach verschwinden die Farben. 

Die astronomische Dämmerung geht zu Ende. Als ich zusammen packe, ist die Umgebung bereits deutlich erhellt. Die bisher beste Nacht hier.

<a href="https://www.flickr.com/photos/106029581@N02/15109400611" title="  by Olivito Astro, on Flickr"><img src="https://farm6.staticflickr.com/5568/15109400611_4d887985c7_z.jpg" alt=" "></a>

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6e2L0E" title="Mond und Venus"><img src="https://live.staticflickr.com/65535/49821355657_b5a7bfe8bf_h.jpg" alt="Mond und Venus"></a>Hyaden, Mond 🌒 und Venus am Abendhimmel.</div> 

So, wieder fast eine Woche später. Kein Wind. Kalt.  Dämmerung setzt erst gegen 23 Uhr ein. Klar mit guter Transparenz. Seeingvorhersage ist nicht gut. 

Trotzdem sind die Bedingungen heute mal wieder sehr gut. Zum Sonnenuntergang ziehen ein paar Zirren über den Himmel, die schließlich als rosa Flecken und Streifen sehr schön anzusehen sind. Aber da die astronomische Dämmerung eh erst in zwei Stunden einsetzen wird, stören sie uns nicht.

Mein Sohn ist wieder dabei. Er bleibt bis Mitternacht auf und beobachtet fleißig mit.

!!Mond und Venus 

Sind beide wunderschön anzusehen. Die Dämmerung ist kristallklar. Wir beobachten das aschgraue Licht im kleinen Refraktor oder „Kinderteleskop”. Mathias ist heute auch da. Für ihn ist der Platz neu. 

Nach Einbruch der astronomischen Dämmerung geht es los. Zunächst schauen alle Objekte in loser Folge. Bei mir sind es M63 und M94, dann die „Needle Galaxie“. Mathias empfiehlt mir NGC 5248. 

<<<
[[NGC 5248]]: Schon bei Übersichtsvergrößerung gut zu erkennen. Hell. Bei 114 schön hell und mit zwei Spiralarmen, die leicht sichtbar werden. Optimale Vergrößerung bei 178 fach wie ich finde. Zum Erkennen aller Details sind aber 290 fach optimal. Galaxie ist fast N-S ausgerichtet. Der nach Norden abgehende Arm ist heller und definierter und mit heller, zentraler Kante. Nach Süden symmetrisch abgehender, weiterer Arm. Schwieriger zu erkennen und mit aufgesetzten Knoten an seinem Ende. Die Galaxie zeigt ein sternartiges Zentrum, das diffus ausläuft. Der ganze Galaxienkörper ist in einen „bauchigen“ Halo eingebettet, der etwas asymmetrisch ist. Seeing 3.
<<<

Ich versuche mich im Themenbereich Landschafts- und Milchstraßenfotografie. Leider produziere ich nur Ausschuss, denn 90% der Fotos sind einfach unscharf. So ist das. 

Sohnemann beobachtet bei Mathias mit. Und dann wir alle an meinem Teleskop. Dann geht er um Mitternacht „ins Bett“. Ich zeichne NGC 5248.

Das SQM-L zeigt Werte jenseits der 22.0 an. Nun ja... Als es sich wieder einkriegt, sind es 21.9. Was mich stutzig macht ist die Tatsache, dass es am Horizont ja deutlich niedrigere Werte misst, wie es sein sollte. Trotzdem vermutlich sind diese auch „zu gut“ bzw. zu hoch. Dort werden kleine Lichtdome mit 21.2 quittiert.

Der Skorpion ist da. Aber ein „schlechter Abklatsch“ im Vergleich zu Namibia, wo er deutlich prominenter ist. Meint Mathias und recht hat er. Zudem fehlt die Hälfte, denn sie kommt hier gar nicht über den Horizont. Dazu muss man auch auf ca. 38° nördliche Breite, also Richtung Süden. Weit nach Süden.

Mathias ist schon weg. Um zwei Uhr musste er fahren. Ich bleibe bis kurz vor vier Uhr, denn so lange geht die Nacht.

Zum Schluss gönne ich mir die Highlights des Sommerhimmels in loser Folge: M57, M13, M3.

<<<.tc-big-quote

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/49952028522/in/dateposted/" title="Beobachtung im April 2020 nahe der Thüringer Hütte"><img src="https://live.staticflickr.com/65535/49952028522_d2f18387e2_k.jpg" alt="Beobachtung im April 2020 nahe der Thüringer Hütte"></a>

Rechts steht der Raabe im Süden. Rechts neben dem Baum 🌳 geht der Skorpion 🦂 auf. Das rote Licht stammt von Mathias, der gerade beobachtet.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/R953n5" title="Sommermilchstraße über der Langen Rhön"><img src="https://live.staticflickr.com/65535/49821322722_7f404588b3_k.jpg" alt="Sommermilchstraße über der Langen Rhön"></a>

Wunderbar, die Sommermilchstraße zusammen mit dem Skorpion am Südhorizont entlang ziehen zu sehen. Die Luftfeuchtigkeit ist hoch und die Scheiben des Autos mit einem Eispanzer überzogen, was man auf dem Foto gut sehen kann. Die Aufnahme ist mit meiner modifizierten A6000 und dem STC-Filter gemacht worden. Der Filter wirkt sehr gut gegen Lichtverschmutzung, allerdings bleibt ein Grünstich zurück, der durch eine Tonwerttrennung und Verschiebung von „grün“ nach „gelb“ wieder nahezu einen natürlichen Eindruck hinterlässt und im Vergleich mit Aufnahmen meiner (unmodifizierten) A6300 vom Farbeindruck ähnlich aussieht. Dennoch zeigt die Aufnahme etwas weniger Lichtverschmutzung und vor allem aber die HII-Regionen, so auch [[Sh2-27|https://flic.kr/p/hdX47s]]. Bei der Aufnahme habe ich zusätzlich einen Weichzeichner vor der Frontlinse verwendet, um die Sterne kräftiger rauskommen zu lassen.

<<<

!!Wieder eine perfekte Nacht

Zum Schluss muss der Feldstecher ran. Bei der hohen Luftfeuchte keine Leichtigkeit. Atmen nur mit Bedacht. Sonst beschlagen die Okus bei der Kälte von -2 °C und Luftfeuchte um 90%. Ich sehe Barnard 142 & 143 im Adler. Das sieht sehr gut aus. Schön kontrastreich. Dann M4, M24, M8 und M16 sowie M17. Die Schildwolke ist schön strukturiert und in ihrer Mitte thront M11. 

Ich habe noch nicht alles zusammengepackt, da wird es schon merklich heller. Wahnsinn wie schnell es wieder Tag wird. Als ich in Frankfurt ankomme ist die Sonne bereits aufgegangen.

[[<< Zurück zur vorangegangenen Nacht|11. April 2020 - Ostersamstag]] | [[Zurück zum Artikel >>|Frühjahr 2020]]

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/31139260154/in/datetaken/" title="La Sagra"><img src="https://live.staticflickr.com/465/31139260154_44ea39e9a7_k.jpg" alt="La Sagra"></a>

Der schneebedeckte Berg La Sagra ist leider nur zu Fuß zu erreichen. Er ist fast 2400m hoch.

Ich bin zum Sonnenuntergang im Dorf. Was für eine Fahrerei. Von Madrid nach Valencia in fast vier Stunden. Dann weiter zum Base Camp am Fuße der Sierra Segura. Auf dem Weg dorthin, bei einem Tankstop, baue ich das vertaute Teleskop biltzschnell zusammen: Höhenräder montiert. Spiegel wird eingelegt. Bei der Aktion schrotte ich auch gleich einen Sterngriff. Und weiter geht's.

Bei Sonnenuntergang bin ich schließlich da. Schnell noch im Hotel einchecken. Dann weiter zum Platz. Es ist schon dunkel. Aber bei der schneebedeckten Auffahrt wird schnell klar, das es hier nicht weiter geht. Also wieder zurück. Kenne einen Platz vom Vorbeifahren, der geeignet sein sollte. Und es klappt. Freie Südsicht. Bergkette im Westen, aber egal. Ein neuer Platz ist gefunden.

Kalt und feucht ist es. 1550m werden lt. Handy angezeigt. Bin also in der Inversionsschicht und nicht darüber. Dafür kein Wind. Ist ja auch mal was. Dafür kalt.

Erstes Objekt ist der "Skull Nebel".

__[[NGC 246 - Totenkopfnebel mit 14 Zoll]]__: Sehr komplexer und relativ großer PN. Es zeigt sich i.W. eine Schale, die zur Seite scharf begrenzt erscheint, mit unterschiedlich hellen und unterbrochenen Randsegmenten. Nördlich zeigen sich auf dem Rand zwei hellere Knoten, die nach Innen diffus auslaufen. Im Nebel liegen insgesamt vier Sterne, davon liegt einer im Zentrum und bildet mit zwei weiteren etwa gleich hellen Sternen ein rechtwinkliges Dreieck. Der Stern an der Spitze des Dreiecks liegt auf dem Rand. Ihm gegenüber, etwas versetzt, befindet sich ein schwächerer Stern. Ohne Filter ist auf dem Rand ein weiterer Stern zu erkennen, der aber mit OIII Filter verschwindet. Beobachtung durchgehend bei 168 fach.

Weiter geht es zu NG 71, bzw. genauer zu NGC 72A. Es handelt sich um eine Nachschau. 

''NGC 72A'' ist bei 290 fach recht klein, aber auffällig. Hat sternartiges Zentrum und ist direkt sichtbar. Direkt daneben, etwas versetzt wird eine weitere kleine Galaxie PGC 1887599 mit Helligkeitszunahme zum Zentrum hin, sichtbar. Ist indirekt knapp nicht zu halten. Trotzdem durchgängig ganz gut beobachtbar. Liegt etwa in der Mitte auf der Verbindungsstrecke zu einem schwächeren Stern. Die Galaxiengruppe um NGC 71 ist hell und die Komponenten sind einfach auszumachen. Weitere schwache Galaxie PGC 1889390 ist ähnlich einfach zu erkennen.

__[[M76 - Kleiner Hantelnebel]]__: Schon bei 65 facher Vergrößerung als helle kleine Hantel erkennbar. Sehr hell, so daß ohne Probleme bis auf 290 fach vergrößert werden kann. Mit OIII werden auch die "Ohren sichtbar". Nordwestlich zeigt in den Ausläufern der Ohren ein recht heller Fleck. Etwas versetzt weiter dunklerer. Gegenüber, in geringem Abstand, etwa mittig, weiterer helleren Fleck, wobei dieser diesmal nicht auf dem "Ohr" liegt. Die helleren, zentralen Teile des Nebel sind hantelförmig, wobei diese rechtwinklich angeordnet sind. Südwestlicher Teil - an den Enden - mit Knoten versetzt. OIII Filter verwendet.

Es wird immer kälter. -3 Grad zeigt das SQM-L an. Aber der Himmel ist atemberaubend. Über 21.7 liegen bereits die Werte.

__[[M79]]__: Selbst bei 290 fach kaum auflösbar. Zentrum ist granuliert mit hellerem zentralen Balken. Eingerahmt von einer Vielzahl von Sternketten im Außenbereichen des Haufens.

__[[NGC 1964]]__: Schöne, relativ helle Galaxie mit hellem, sternartigem Zentrum in der Nähe zu M79. Zwei diffuse Spiralarme werden bei 168 fach mit etwas Mühe sichtbar. Einer davon, genauer der nördliche, ist ganz gut erkennbar. Der südliche hingegen etwas schwieriger, da hier schwache Sterne stören. Insgesamt eine sehr schöne Galaxie.

__[[NGC 1514]]__: Runder, bis leicht ovaler, recht großer Nebel. Bei 290 fach und OIII-Filter werden zwei Nebelschalen sichtbar, die auf einer Seite über eine schwache Brücke verbunden sind und auf der anderen Seite hingegen offen ist.

''IC 351:'' Sehr kleiner, runder Nebel, der auch bei 800 fach keine Struktur zeigt. Einfach klein und rund, ohne merkliche Helligkeitszunahme zum Zentrum hin. Kein Zentralstern. In unmittelbarer Nähe kleiner unscheinbarer Vordergrundstern.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32035258066/in/datetaken-public/" title="Untergehende Wintermilchstraße"><img src="https://farm1.staticflickr.com/282/32035258066_960e8944a4_h.jpg" alt="Untergehende Wintermilchstraße"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Leider war IC 351 eine Enttäuschung. Am Seeing hat es wohl nicht gelegen. Mühe mich fast eine Stunde mit dem Ding ab.

__[[Palomar 4]]__: Kleiner, runder Nebelball direkt nebem einem schwachen Stern. Kann schon bei 65 fach ausgemacht werden. Besser jedoch bei 114 fach beobachtbar.

Weiter geht es zu Palomar 1. Hatte ich bereits vor ein paar Wochen beobachtet, aber nicht auf erkennbare Einzelsterne geachtet. Die Einzelsterne möchte ich nochmal probieren.

__[[Palomar 1]]__: Bei 168 fach werden blickweise immer wieder sehr schwache Einzelsterne an der richtigen Stelle sichtbar. Sehr schwer zu sehen, aber dennoch eindeutig, das reproduzierbar, auch nach Pausen.

''M104 - Sombrero Galaxie'': Wunderschön! Helles fast sternartiges Zentrum. Etwas abseits der Mitte teilt die Galaxie ein Staubband komplett längsseitig. Auf der Seite zum Kern hin schließt sich ein heller Halo an, der diffus ausläuft. Auf der andere Seite, d.h. dort wo sich das Staubband befindet, ist die Galaxie schwächer und der Helligkeitsverlauf flacher.

Und zum Schluss, wegen des guten Seeings HCG 55.

''__[[HCG 55]]__:'' Steht nahezu optimal. Bei excellentem Seeing und gemittelten SQM-L Werten von 21.86 im Zenit werden tatsächlich fünf kleine, runde Galaxien sichtbar, die ein geschwungenes "S" bilden. In der Mitte stehende Galaxie kann eindeutig als hellste ausgemacht werden. Anderen etwa gleich hell. Indirekt ist die Kette nicht zu halten. Kommt aber immer wieder, zuverlässig zum Vorschein. Absolutes Highlight!

Der Mond ist bereits aufgegangen. Trotzdem fällt das SQM-L lediglich auf 21.76. Der Boden ist gefroren und mit glitzerndem gefrorenem Tau überzogen. Teleskop ist mit Eispanzer bedeckt. Trotzdem hat der Fangspiegel mit Heizung durchgehalten.

Ich halte bis zur Dämmerung, die um kurz vor sieben Uhr einsetzt, durch. Erst um acht bin ich im Bett. Der Stress hat sich also gelohnt.

[[<<Zurück zum Artikel|Zwischen den Jahren im Pinar]] | [[Weiter zur nächsten Nacht>>|26. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/sVm8LW" title="Erdschatten auf dem Roque de los Muchachos"><img src="https://live.staticflickr.com/65535/49456487592_6b0f341e7f_k.jpg" alt="Erdschatten auf dem Roque de los Muchachos"></a>

Diese Nacht soll für alle Nächte entschädigen, die bisher bewölkt waren. Ernst hatte vorgeschlagen, eine Nacht ganz oben zu verbringen. Wir beide [[wissen aus der Vergangenheit|24. Januar 2017 - La Palma]], dass dies nicht gern gesehen wird. Tatsächlich ist es verboten. So habe ich auch Ernst vor ein paar Jahren kennengelernt, nämlich als ich oben auf dem Parkplatz des Roque de los Muchachos beobachtet hatte und schließlich vom Nachtwächter rausgeschmissen wurde. Damals fuhr ich frustriert an meinen Stammplatz und traf auf Ernst. So lernten wir uns kennen.

<div class="tc-link-info-item-flex-25" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/nbvR20" title="DSC03539_Ernst_beim_fotografieren4"><img src="https://live.staticflickr.com/65535/49468557421_5a4f772498_h.jpg"></a>Ernst beim Fotografieren.</div>

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/5YD70s" title="Blick vom Mirador des Roque de los Muchachos"><img src="https://live.staticflickr.com/65535/49542654082_ba54773b83_k.jpg" alt="Blick vom Mirador des Roque de los Muchachos"></a>Unten im Bild ist der riesige GUM-Nebel zu sehen. Rechts davon der helle Stern Canopus. Im Hintergrund die Lichtverschmutzung von Los Llanos (unten rechts) und El Paso (unten links). Im Hintergrund die Nachbarinsel El Hierro. Oben im Bild ist M44 zu erkennen mit dem Gegenschein. Pano mit STC Multispectra Filter und A6000. Nachgeführt auf Omegon Startracker NS.</div>

Ernst schlug nun vor, daß wir uns unten treffen und wir mit seinem Wagen hochfahren. Ich würde dann mit dem Gepäck oben warten und er mit dem Wagen wieder runterfahren. Anschließend würde er zu Fuß hoch laufen und wir die Nacht gemeinsam auf einem der Miradore verbringen. So machen wir es auch. Um 17:45 Uhr treffen wir uns unten vor dem Gelände des ORM. Wir haben leider keine Zeit, da die Schranke bereits um 18:00 Uhr schließt. Wir wollen natürlich keine unnötige Aufmerksamkeit erwecken, denn der Aufenthalt auf dem Gelände ist ab 18:00 Uhr offiziell untersagt. 
So wird es bei mir schließlich ein wenig hektisch, und ich vergesse sogar mein SQM–L mitzunehmen. Das ist aber nicht so tragisch, denn Ernst hat auch eins. Allerdings hatten wir vor ein paar Tagen festgestellt, dass es offenbar schlechtere Werte misst als meines. Aber auch dies sollte sich diese Nacht aufklären.

Geschwind packen wir unsere Sachen beisammen, wobei ich zunächst davon ausgehe, dass wir nicht die ganze Nacht oben verbringen werden. Deshalb habe ich nur relativ leichtes Gepäck dabei, wo dicke Daunenjacken beim Heruntertragen nur hinderlich sind. Als wir los wollen, bemerke ich dass irgendetwas mit meinem Schuh nicht in Ordnung ist. Die Schuhe sind mittlerweile 20 Jahre alt und haben eine sehr gute Qualität. Dachte ich. Doch gerade jetzt löst sich beim linken Schuh die komplette Sohle. Zum Glück hat Ernst ein zweites Paar Schuhe dabei. Er leiht es mir und so fahren wir geschwind hoch zum Gipfel. Wir tragen die Sachen zum Mirador und Ernst kehrt wie vereinbart mit dem Auto zurück nach unten. Ich verschanze mich hinter einem Vorsprung, so dass ich von oben nicht direkt gesehen werden kann. Man muss dazu wissen, dass der Mirador unterhalb des Gipfels liegt und von diesem praktisch sehr gut eingesehen werden kann.

Als Ernst schließlich weg ist tauchen recht viele Leute auf. Eigentlich sollte um diese Zeit hier gar niemand mehr da sein. Aber es kommen offensichtlich immer noch Leute an. Interessiert begutachten Sie das ganze Equipment. Sie ahnen wahrscheinlich schon, dass wir hier länger bleiben. Ich hoffe nur, dass Sie uns nicht ungewollt verpetzen. Nervös werde ich, als ich das Geräusch einer Drohne höre. Unglaublich! Doch kurz nach Sonnenuntergang wird es auf einmal ruhig. Die Leute gehen und ich bleibe allein zurück. Ich sehe wie die Wolken in der Caldera weiter aufsteigen und zum Teil über den Kraterrand nach Norden hinwegschwappen. Ich bekomme ein wenig Panik, da ich die letzten Nächte im Kopf habe. Wenn jetzt die Wolkendecke nach oben steigt und ich hier im Nebel festsäße, wäre dies eine Katastrophe. Aber ich beruhige mich mit der Tatsache, dass der Luftdruck gestiegen ist und weiter steigen soll. Dies drückt die Wolken nach unten. So harre ich schließlich hinter meinem Vorsprung aus und warte auf Ernst, der mir per Handy signalisiert, dass er bald losgehen würde.

!!Auf dem Balkon zum Universum

Der Erdschatten geht auf, obwohl die Sonne noch nicht vollständig untergegangen ist. Faszinierend! Ich stehe auf dem Balkon zum Universum.

In der Zwischenzeit bestaune ich den perfekten Himmel. Die komplette Insel ist unter Wolken und als es dunkel wird, wird klar, dass die Lichtverschmutzung von ihnen verschluckt wird. Von hier oben ist auch Teneriffa zu sehen und am Anfang auch nur der Teide. Die komplette Insel liegt auch unter einem Wolkenmeer. die Stimmung ist magisch. Relativ wenig Wind aus NNW, der aber leider in der Nacht zulegt. Ich bin relativ dünn angezogen. Die Temperaturen sind niedriger als üblich. +2 °C die ganze Nacht. 

<<<.tc-big-quote
<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/30tMK6" title="Summit of La Palma - Roque de los Muchachos"><img src="https://live.staticflickr.com/65535/49565028357_0fea690c3a_k.jpg" alt="Summit of La Palma - Roque de los Muchachos"></a>

Sphärische Projektion des All Sky Panoramas. In der Mitte ist Süden. Die Insel, sowie die Nachbarinseln, liegen unter einer dicken Wolkendecke. Dennoch scheint die Lichtverschmutzung teilweise hindurch. Im Norden hingegen gibt es keinerlei Fremdlicht. Dort ist der Himmel aufgrund von Airglow etwas aufgehellt. Beeindruckend zeigt sich vor allem das Zodiakallicht mit Venus in der Mitte. Ich habe bei der Bearbeitung dieses Bildes den Kontrast etwas stärker angehoben als bei der Fisheye Projektion. Details s.w.u.
<<<

Im Norden ziehen ganz feine, kaum sichtbare Zirren durch. Später dann verschwinden sie. Ernst ist immer noch nicht da und die astronomische Dämmerung ist durch. Das Zodiakallicht ist enorm hell. Wie gesagt, liegt die komplette Insel unter Wolken nur die höchsten Erhebungen der Caldera ragen über sie empor. Auch von den Nachbarinseln La Gomera und El Hierro ist nichts zu sehen. 

Ich mache ein All Sky Panorama des gesamten Nachthimmels und warte darauf, dass Ernst kommt. Als er schließlich eintrifft ist es bestimmt schon 21:30 Uhr. Der Aufstieg, der in der Regel etwa eine Stunde dauern sollte, ist deutlich länger geworden. Aber Ernst hat auch an den Teleskopen halt gemacht und dort fotografiert. Ein paar Mal musste er sich auch verstecken, da Autos unterwegs waren. Aber das ist jetzt alles vergessen, denn Ernst ist jetzt endlich hier.

!!Ein Teleskop braucht man hier nicht

Wir beide genießen die unbeschreibliche Aussicht und den über uns thronenden Sternenhimmel. Es übertrifft unsere Erwartungen bei weitem. Mir fällt zunächst auf, dass das Airglowband gar nicht so prominent zu sehen ist, wie ich es mir vorgestellt hatte. 
Wir diskutieren darüber, ob der Höhenunterschied von etwa 200 m noch mal einen Unterschied in der Himmelsqualität ausmacht. Ich verneine, denn dafür ist die Insel insgesamt so ausgesetzt, als dass die 200 m in den Luftschichten noch mal einen signifikanten Unterschied machen würden, den man visuell (!) wahrnehmen kann. Wir wollen das aber überprüfen und machen zunächst ein paar Messungen mit Ernsts SQM-L. Ich hatte meines im Stress unten im Auto liegen lassen. Zunächst misst Ernst hohe Werte über 21.9. Ich bezweifle, dass der Himmel so gut ist, da ich vorhin im Norden noch hohe Wolken habe durchziehen sehen. Der Himmel sieht auch leicht aufgehellt aus. Dazu muss man wissen, dass der Himmel kurz nach Sonnenuntergang bei Einbruch der astronomischen Dämmerung bzw. ein bis zwei Stunden danach häufig noch durch Airglow aufgehellt ist. Das kann natürlich auch während der Nacht auftreten, ist aber insbesondere hier vor allem in der ersten Nachthälfte aktiv. Weitere Messungen bestätigen dies: denn die Werte brechen ein und wir messen schließlich sogar Werte um 21.7. Später steigen Sie wieder auf 21.8. Im direkten Vergleich zwischen uns beiden hat Ernst auch das bessere Händchen. Er misst zum Teil bessere Werte als ich. Das habe ich auch in einem Vergleich mit einem anderen Sternfreund in Namibia festgestellt. Dabei maß ich allerdings die besseren Werte und er die schlechteren. Es kommt halt immer darauf an wie man das Gerät hält und ob es im Vergleich tatsächlich wie vom Beobachter angenommen in die entsprechende Himmelsregion zeigt. Dabei ist sogar entscheidend ob man das Handgelenk leicht abknickt oder nicht. Wie auch immer, Ziel ist es bei solchen Messung ja stets, möglichst hohe Werte zu erreichen. 

!! Das Zodiakallicht ist der Hammer!

Was aber auf jeden Fall hier sehr gut zu sehen ist und ich noch an keinem anderen Beobachtungsort inklusive Namibia so gut sehen konnte, ist das Zodiakallicht.

Der Wind legt zu. Er versucht uns zu zermürben. Wir fotografieren wie die Verrückten. Wir haben keine Zeit. Wir sind Getriebene. Es geht bereits auf Mitternacht zu. Trotzdem ist die Insel immer noch mit Wolken komplett bedeckt. Wir sehen die 120 km entfernte Insel Teneriffa. Sie befreit sich bereits von den Wolken und uns wird jetzt tatsächlich klar, wie groß die Insel wirklich ist. Wir erkennen die Straßenbeleuchtung und Ernst meint scherzhaft, dass er diese zum fokussieren heranziehen könne.

<<<.tc-big-quote
<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/J14Pt2" title="Roque de los Muchachos"><img src="https://live.staticflickr.com/65535/49547911917_5fa997780d_k.jpg" alt="Roque de los Muchachos"></a>

!!All Sky Panorama 

Hier ist das All Sky Panorama als Fisheye-Projektion zu sehen. Insgesamt wurden 140 Aufnahmen verarbeitet, d.h. die RAW – Dateien in ~DeepSkyStacker einzeln „geflatted“ und „entrauscht“. Anschließend wurden die erzeugten 32 Bit TIF-Dateien in PS CS2 in der Stapelverarbeitung in 16 Bit umgewandelt und in MS ICE zusammengesetzt. Temporär waren hierzu 40 GB Festplattenspeicher notwendig. Das fertige Bild hatte eine Größe von 17000x17000 Pixeln, wurde aber aus MS ICE mit 10000x10000 exportiert. Zum Schluss wurde das Bild minimal in PS CS2 und anschließend in Lightroom auf dem iPad final bearbeitet. Dabei wurden lediglich die Tiefen etwas angehoben, um auch den Boden und die dunklere Umgebung dem visuellen Eindruck anzupassen.

''__Aufnahmedaten:__ Kamera Sony A6300 @6400ASA, 140x10sec im RAW-Modus. Objektiv 16mm Sigma f1.4 DC @f1.7. Aufnahmezeitpunkt 20:00 bis ca. 20:50 UT. Ort: Roque de los Muchachos 2350m üNN (Mirador unterhalb des Gipfelparkplatz).''

Norden ist oben und Süden unten. Im Osten bis Nordosten ist schwach St. Cruz erkennbar. Darunter, im Osten beziehungsweise Südosten ist deutlich Teneriffa mit dem Vulkan Teide zu sehen. Die Insel ist 120 km Luftlinie von La Palma entfernt. Die von ihr ausgehende Lichtverschmutzung ist deutlich sichtbar und war visuell auch gut erkennbar, aber zu diesem Zeitpunkt absolut nicht störend, da die Insel ebenfalls unter Wolken lag. Im Süden, knapp oberhalb des Geländers, ist die Lichtverschmutzung von El Paso und Los Llanos zu sehen. Dabei geht von El Paso zu diesem Zeitpunkt deutlich mehr Lichtverschmutzung aus. Dies liegt daran, dass der Ort höher als Los Llanos liegt und deshalb die Wolkendecke dort bereits etwas dünner ist und die Lichtverschmutzung deshalb nicht mehr vollständig abgeschirmt wird. Im Westen erkennt man das sehr helle Zodiakallicht. Dabei sieht man, dass die Dämmerung noch nicht vollständig abgeschlossen ist. Das Zodiakallicht reicht bis in den Zenit hinauf. 
<<<

Die südliche Wintermilchstrasse zieht durch den Süden und über Teneriffa und die jetzt sichtbaren Inseln La Gomera und El Hierro hinweg. Ein traumhafter Anblick. Unbeschreiblich!

Nur selten streuen wir Pausen ein, wie jetzt. Ernst holt die Thermoskanne raus und wir trinken ein wenig Tee. Ich bleibe weiter ein Getriebener, denn ich möchte so viel wie möglich Eindrücke in Fotos festhalten.

<<<.tc-big-quote
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Links geht der Eta-Carinae Nebel über dem Berg Birigoyo auf. Rechts unten ist Los Llanos zu erkennen und in der Mitte El Paso. Im Hintergrund die Insel El Hierro zu erkennen.
<<<

Wir greifen auch zum Feldstecher. Wir haben beide jeder einen dabei. Ich durchstreife die südliche Wintermilchstraße und muss erkennen, dass diese ausgesprochen transparent ist. Unglaublich - wie Diamanten - scheinen die Sterne durch die Milchstraße. Überall Sternansammlungen und offene Sternhaufen, fein und wunderbar anzuschauen.

!!Der Wind zermürbt uns

Und der Wind macht uns weiter fertig. Er weht in leichten Böen und in einer Art und Weise, wie ich ihn bisher nur hier kennengelernt habe. Wir verwerfen auf jeden Fall die Idee, hier bis zum Öffnen der Schranke gegen 7:00 Uhr morgens auszuharren. Mittlerweile schickt sich die Wintermilchstraße zum Untergang an. Wir bestaunen den heraufziehenden Frühlingsternhimmel. Der Rabe ist schon im Süden hoch zu sehen. Um 4:15 Uhr packen wir schließlich zusammen und begeben uns auf den etwa einstündigen Abstieg. Doch zunächst müssen wir erst einmal wieder zum Gipfel hinauf, bevor es dann zum Glück nur noch Berg ab geht.

!!Der Abstieg

Auf Vorschlag von Ernst gehen wir komplett ohne Licht. Ich wollte zumindest den Boden ein wenig mit meiner Stirnlampe beleuchten, da ich weiß, daß die Straße mittlerweile ordentliche Schlaglöcher hat. Wir können praktisch auch ohne Licht fast alles sehen. Niemand begegnet uns. Nur einmal schrecken wir kurz zusammen, als ein Auto hinter uns auftaucht. Aber zum Glück biegt dies auf dem Weg zu einem der anderen Teleskope ab, bevor es uns erreicht.

Mein Rucksack wiegt schwer. Dabei hatte ich sogar noch die Idee ein weiteres Stativ mitzunehmen. Zum Glück blieb dies unten im Auto. Wir müssen sogar eine Pause machen, denn ich muss mich erholen. Schließlich schaffen wir es bis zur Schranke und sind dann endlich bei den Autos. Wir packen ein, aber ganz in Ruhe. Ernst misst noch mal mit seinem SQM-L: 22.1 im Mittel. Unglaublich. Nun hat er auch zum ersten Mal seine 22 „gemessen“, was ihm bisher unmöglich schien. Wir verabschieden uns von diesem fantastischen Sternenhimmel und fahren den Berg hinab.

[[<< Zurück zur vorangegangenen Nacht|24. Januar 2020 - La Palma]] | [[Zurück zum Artikel >>|La Palma Januar 2020]] 

Wieder klar, und kalt. Die Nacht beginnt mit sehr guter Transparenz und gutem Seeing. Robert ist bei mir, er ist heute auf der Farm angekommen. Leider ist sein Gepäck unterwegs verloren gegangen und er hofft, dass es am nächsten Tag doch noch kommt. So lange vertreibt er sich die Zeit unter dem Sternenhimmel und schaut bei mir durch den 25 Zoll Dobson. Wir stellen sogar M51 ein. Idiotisch, aber ich schlage es selbst vor und das Ganze sieht sehr gut aus. Zumindest bei 100x.

Wir schauen uns die Highlights der Sommermilchstraße an. Das ganze geht bis neun. Dann kann ich ihn zu jemand anderen lotsen und bei mir geht schließlich das Programm los.

Es ist mit 0 °C recht kalt. Und das zum Beginn der Nacht. Gegen Mitternacht werden sogar -1 °C erreicht. Zum Glück bleibt die Luftfeuchtigkeit relativ niedrig mit 50 %.

Nach langem Hin und Her kann ich mich schließlich aufraffen. Ich stelle K 3-27 ein.

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![[Kohoutek 3-27]]

Bei 125x im Sternfeld kaum zu erkennen. Filter tuen diesem Objekt nicht gut. Kann bis auf 670x vergrößert werden. Insgesamt zeigt sich bei sehr gutem Seeing ein kleiner, gefüllter Rauchring. Hin und wieder, und das ist auch tatsächlich sicher, zeigt sich mittig ein Zentralstern. Das ist aber nur zwei- bis dreimal über einige Sekunden eindeutig zu sehen. Dann werden auch weitere, sehr schwache Sterne im nahen Umfeld sichtbar. Sehr schönes Objekt.

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![[M 16 - Adlernebel]]

Weiter geht es zu M 16. Blöd ist, das er jetzt am Untergangshimmel steht und man sich so wieder komplett neu einsehen muss, da die Strukturen „rotiert“ sind.

Dann tauchen Wolken am Horizont auf. Rufe zu Mathias rüber. Der ist beschäftigt. Sie kommen richtig schnell auf uns zu. Krass. Dann haben sie den gesamten Himmel bedeckt. Wir haben geglaubt, dass die Vorhersagen nix taugen. Tuen sie aber doch. Wir werden erlöst und können um vier Uhr ins Bett.

[[<< Zurück zur vorangegangenen Nacht|24. Juni 2022 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|26. Juni 2022 - Tivoli Astrofarm]]

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Klar mit abziehenden Zirren. Warm.

[[IC 2448]]: Kleiner, runder, blaugrüner Nebel bei 100 fach. Bei 670 fach zeigt sich eine dünne, runde, helle Nebelschale in einem diffusen runden Nebel. Die Schale ist interessanterweise bei 450 fach besser, da definierter. Hochziehen der Vergrößerung bringt gar nichts, da dann alles nur noch matschig ausschaut. 

SQM-L misst 21.7 im Coma Haufen. Mit +13 Grad Celsius ist es sehr angenehm warm. 

''Nachschau zu NGC 3199'': Heute konnte ich noch weitere schwache Details erkennen. So laufen die Hörner auf beiden Seiten diffus aus. Am helleren Ende scheint der Nebel auszufransen.

[[NGC 2792]]: Runder, kleiner, Nebel bei 100 fach. Bei 670 fach bleibt die runde Grundform erhalten. Im Innern zeigt sich eine hellere Nebelschale, die leicht oval scheint und auf den Rändern gegenüberliegende leicht versetzte hellere Abschnitte zeigt. Kein ZS zu erkennen.

Die SQM-L Werte steigen auf 21.8. Die Transparenz nimmt wieder zu. Werde zum Mitbeobachter gerufen. NGC 332 steht an. Mit UHC-Filter zeigt sich der Nebel sehr kontrastreich und vor allem gefällt mir seine runde, scharfe Kante, die nur mit Filter so zu sehen ist. Mit dem Mitbeoachter wird gequatscht und nicht zu knapp. Wir müssen dem Ganzen Einhalt gebieten und das wird auch gemacht. Schließlich schleiche ich mich zu meinem 25 Zöller und mache mit dem PN Programm weiter.

[[Henize 2-70]]: Kleiner, elliptischer Nebel in dem jeweils in den Brennpunkten zwei Sterne zu finden sind. Nördlicher ist heller. Südlicher blitzt immer wieder auf. Seeing ist schlecht. Vergrößerung 670x.

''NGC 5315'': Bei 100 fach stellar. Farbe blaugrün. Sieht wie ein Stern aus. Nur die Farbe passt nicht. Bei 670 fach zeigt sich ein winziger runder, heller Nebel. Reagiert gut auf OIII. Ist auch bei 570 fach praktisch nicht von einem Stern zu unterscheiden.

[[PGC 50779 - Circinusgalaxie]]: Mitten in der hellen Mlichstraße taucht zunächst ein kleiner, spindelförmiger Nebel mit Helligkeutszunahme zum Zentrum hin, auf. Bei geduldiger Beobachtung zeigt sich schließlich ein ovales, langgezogenes, viel größeres Glimmen um den spindelförmigen Nebel, der offenbar das Zentrum dieser Zwerggalaxie ist. Um die Milchstraße kann es sich nicht handeln, da sich das Glimmen vom Milchstraßenhintergrund leicht abhebt. In Zentrumsnähe hellerer Knoten. Unklar, ob (Vordergrund-) Stern oder Nebelknoten. Sonst keine Strukturen.  

Nach einer Kaffeepause in der Gruppe geht es dann weiter. Später fragt mich mein Mitbeobachter, wie ich auf das Ding gekommen bin. Ganz einfach. Surfen in ~SkySafari. Einfach in Himmelsbereiche reinzoomen und schauen was an Deep Sky Objekten so angezeigt wird. So kommt man auch mal zu Objekten, die nicht schon tausendmal beobachtet worden sind. Ok, viel findet man da natürlich nicht, aber einige Überraschungen wie diese sind dann schon mal mit dabei. Und die Freude darüber ist meistens besonders groß!

Spontan stelle ich die SMC ein. 

''SMC:'' NGC 362 ist ein kleiner KS etwas außerhalb des Galaxienkörpers mit sehr dichtem Zentrum. Weiter geht es zu NGC 346, einem propellerartigen Nebel, der auch als Galaxie durchgehen könnte. Reagiert auf OIII Filter und die in seine Nähe befindlichen zwei OS reagieren auch. Sie sind plötzlich in einen runden Glow eingehüllt. In NGC 362's Zentrum steht ein recht heller Stern. Weiter geht es zu 47 Tucanae. Herzförmiges Zentrum mit spitzen Enden. Eindeutig - wie gestern - gelbe große Sterne. Im Vergleich zu NGC 362 ein Monster. Bei 280 facher Vergrößerung ist Schluß. Das Seeing ist lausig.

Das Zodiakallicht ist wieder gigantisch. Eine halbe Stunde vor der Dämmerung hat man den Eindruck, dass sie bereits im vollen Gange ist. Tut sie aber noch nicht. Die helle Venus tut ein Übriges, um den Effekt zu verstärken. Ich packe vor Einbruch der Dämmerung ein, da ich total kaputt bin. 

[[<<Zurück zur vorherigen Nacht|24. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|26. Mai 2017 - Tivoli Astrofarm]]

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/23GT69" title="Sommermilchstraße des Nordens am Südhimmel"><img src="https://live.staticflickr.com/65535/49926974262_70fdfc2972_h.jpg" alt="Sommermilchstraße des Nordens am Südhimmel"></a>Die nördliche Sommermilchstraße zieht am Nordhorizont vorbei.</div>

Erste Beobachtungsnacht. Wieder Super hier zu sein. Bin der erste Astronom in diesem Monat. Abendessen habe ich vor der astronomischen Dämmerung um 17:30 Uhr. Kann quasi im Moment bestimmen, denn es ist noch keiner außer mir da. Der Mond geht bereits um 23:30 Uhr auf. Joshi, Reinhold‘s Hund bellt im Busch. Er sitze vor einem Loch und warte, dass das Tier, welches auch immer, was er gejagt hat, wieder raus komme. So jedenfalls Reinholds Erklärung. 

Das erste Objekt ist eine Nachschau vom April auf La Palma. Dort mit 14 Zoll. Bin gespannt auf die 25 Zoll, wobei der Spiegel vermutlich noch nicht ausgekühlt ist. 

''Minkowski 3-1'': 670 fach und OIII. Gut zu erkennen. Deutlich einfacher als im 14 Zöller. Zwei helle ovale Knoten sind zu sehen, die über eine Nebelbrücke verbunden sind. An den längsseitigen Enden Auswürfe. Erstaunlich. Mit 14 Zoll war schon alles erkennbar, aber hiermit geradezu trivial. Achtung: Ohne OIII trotz Helligkeit sind die Details nicht so einfach. OIII, wie auf La Palma mit 14 Zoll, ist für die Detailwahrnehmung dringend anzuraten. Schönes Objekt. Seeing 2-3.

Wolken ziehen durch. 21.93 in der Coma Berenices. Angenehme +13° C. 

[[η Carinae - Homunculus]]: Schon bei 100 fach sind um η Carinae ein Bipolarer Nebel in Form einer Sanduhr zu erkennen. Farbe orange. Bei 670 fach zeigt sich auf der Südseite ein ausgebuchteter Nebel in Form eines Schlüssellochs bzw. einer Acht. Nach Norden ist der gegenüberliegende Teil hin nicht so hell und zeigt sich mit abgrenzender, hellerer Nebelschale und geradlinigen Verbindungen zum hellen Zentralstern. Abgehender Nebelteil vom ZS Richtung Osten mit Verbindungen zum Nordteil. Wunderbar. Vergrößerung auf über 1000 fach bringt leider keinen Erkenntnisgewinn. Seeing 2-3.

SQM-L 21.95 im Zenit. Ich schaue mir einfach die Schaustücke des Sommerhimmels an. M24, M8 u.s.w. Nebenbei wird fotografiert. 

''Kohoutek 1-22'': Ist eine Nachschau. Interessanterweise ist ''adhoc'' nicht mehr zu sehen, wie mit 14 Zoll. Na ja, der ZS bzw. mittig stehende Stern ist einfach zu sehen. Der Nebel kann auch direkt auf 278 fach vergrößert werden. OIII bringt mehr Kontrast. Profitiert von der großen Öffnung leider kaum.

Einige Nächte später am [[01. Juni 2019 - Tivoli Astrofarm]] beobachte ich das Objekt mit einem 24 Zoll Bino-Dobson. 

!!Jupiter & Saturn

Jetzt schaue ich nur noch Highlights. Zeichne heute nix. Einfach nur genießen. M8, M24...Dann geht der Mond auf. Ich stelle Jupiter ein. Genial. Kann ich bis auf 670 fach hochziehen ohne das er matschig wird. Der große rote Fleck (GRF) steht vor dem Transit. Die diskutierte Auflösung desselben, die sich durch ein abgetrennte Wolkenschleppe zeigt, ist gut zu sehen. Ein Leckerbissen. Feine turbulente Strömungen sind hin und wieder erkennbar. Seeing 1-2. Anschließend geht es zum Saturn. Er profitiert nicht so sehr vom guten Seeing. Die Encke-Teilung wird blickweise sichtbar. Um 02:00 Uhr bin ich nach einem Bierchen im Bett.

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Das Foto zeigt den Sternhimmel am frühen Abend. Eta-Carinae steht hoch und in der Mitte sind einige Ausläufer des GUM-Nebels zu erkennen. Wolken sind durchgezogen. Faszinierend wie dunkel sie sind. Sowas kann man nur hier erleben!

[[<<Zurück zum Artikel|Namibia auf Tivoli 2019]] | [[Weiter zur nächsten Nacht >>|26. Mai 2019 - Tivoli Astrofarm]] 

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Llanos de las Animas / Wasserreservoir am Ende der Feuerschneise (2050m üNN). Der Himmel ist tiefblau, wie ich ihn bisher nur hier gesehen habe.

Am Anfang ist es nahezu windstill. Später lebt der Wind etwas auf. Stört dabei aber nie. Das Seeing ist diese Nacht hervorragend. Lt. WHT 0.9+-0.4". Es wird die erste richtige perfekte Nacht. Starten tue ich wieder mit dem Doppelquasar. Kurz nach Anbruch der eine astronomischen Dämmerung kann ich ihn wie am Tag zuvor eindeutig bei 420 fach als kleines sehr enges Sternenpaar sehen. Es handelt sich damit um eine reale und sichere Beobachtung. Danach geht es nun endlich weiter mit der Galaxie selbst, ohne vorher nicht schnell noch ein Panorama mit dem schönen Wasserbecken im Vordergrund zu machen.

__[[NGC 3079]]__: recht hell, lang und gebogen. Heller flunderförmiger Kern, an dessen Ende und in dessen Zentrum fast stellare Knoten liegen. Abseits des Zentrums südlich angrenzender, etwas abgesetzter, lang gezogene, strichförmiger Teil mit markanten stellaren Knoten. Dieser scheint durch ein Dunkelband vom Zentrum getrennt zu sein. Weiter südlich diffus auslaufend mit hellerem längeren Teilstück. Auf der nördlichen Seite ebenfalls diffuses schwächeres Ende mit weiteren stellaren Knoten. In der Nähe befindliche PGC 28990 ist linsenförmig mit Helligkeitszunahme zum Zentrum hin. Kann ohne Probleme indirekt gehalten werden. NGC 3073 ist rund mit stellaren Zentrum und deutlich heller. 

Mit +3 °C ist es sehr frisch. Immer wieder lebt der Wind aus Nordost auf. Beim Vergleich mit dem Wetterstationen im Anschluss zeigt sich, dass der Wind weiter oben tatsächlich aus westlichen Richtungen weht. Trotzdem ist es bis zum Morgengrauen trocken und der Taupunkt wird diese Nacht nicht erreicht. Heute werde ich voll durchziehen, da morgen Nacht hohe Wolken angekündigt sind, so dass eine Beobachtung vermutlich nicht möglich sein wird. Heute wird außerdem die Uhrzeit umgestellt. 

Als nächstes beschäftige ich mit "Frosty Leo". Interessanterweise kennt ~SkySafari diesen sehr kleinen Nebel auch, zeigt die Position aber an falscher Stelle im Sternbild Fuhrmann an. Das ist natürlich totaler Quatsch, befindet er sich doch im Sternbild Löwe. Zum Glück habe ich eine [[Aufsuchkarte|http://www.reinervogel.net/exotic/exotic01.pdf]] von Rainer Vogel dabei, mache aber eine Ewigkeit herum, um zu verstehen, welche Vergrößerungen die entsprechenden Darstellungen zeigen. Am Ende bin ich über eine Stunde zugange, bevor ich endlich das Objekt identifiziert habe.

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__[[IRAS 09371+1212 - Frosty Leo]]__: Bei 65 fach stellar und recht hell. Bei 420 fach elongiert und mit angedeuteter Separation. Bei 800 fach einfach separiert. Bei 1000 fach am besten. Jetzt werden zwei elliptische, helle Knoten sichtbar. Der in der Nähe befindliche Stern hat etwa den zehnfachen Abstand der beiden Knoten. Der Knoten, auf der zum Stern abseits befindlichen Seite, ist deutlich heller und zeigt ein fast sternförmiges Zentrum. Der ihm gegenüberliegende Knoten ist deutlich diffuser. Beide zeigen kometenartige Schweifansätze und sind in einen schwachen, diffusen Halo eingebettet.

Diese Beobachtung hat sich tatsächlich gelohnt. Und da das Seeing offensichtlich hervorragend ist, stelle ich als nächstes Jupiter ein.

__[[Jupiter]]__: Bei 420 fach werden insgesamt etwa zehn Wolkenbänder sichtbar. Der Planet zeigt sich sehr strukturiert mit vielen Details. Wechsele schließlich die Vergrößerung auf 290 fach. Jetzt werden die Farben der Wolkenbänder besser sichtbar. 

__[[HCG 57 - Copeland's Septett]]__: Alle Komponenten bis auf H können bei 290 fach indirekt gesehen und gehalten werden. H ist etwas schwieriger und blitzt längere Zeit immer wieder auf. A, D & C haben sternartige Zentren. A eindeutig als langgestreckte Galaxie in Kantenlage erkennbar. B klein und fast stellar. B mit Balken im Zentrum und senkrecht dazu gerichteten schwachen Galaxienkörper. F diffus mit leichter Helligkeitzunahme zum Zentrum hin.

Ich habe versucht Jupiter mit allen Details zu zeichnen. Mittlerweile ist es 4:00 Uhr UT. Bis zur Morgendämmerung bleiben etwa zwei Stunden. An diesem Objekt kann man auch schön erkennen, dass die Dunkeladaption pro beobachtenden Auge erfolgt. Nach dem Beobachten zeigt das beobachtende Auge, bei mir das rechte, den Sternenhimmel dunkler. Das linke hingegen deutlich heller. 

Die Sommermilchstraße geht bereits zwischen den Bäumen auf. Ein sehr beeindruckendes Schauspiel. Der Platz hier oben gefällt mir gut. Einziges Manko ist die Tatsache, dass man hier leider keinen Handy-Empfang hat. Die nahe Wand Richtung Osten schützt vor dem Nordostwind. Obwohl sich dieser als schwacher Fallwind bemerkbar macht, scheint er das Seeing nicht zu beeinträchtigen. Die sich im Wasser spiegelnden Sterne sind natürlich der Hammer. Am Ende dieser Nacht bin ich total platt und obwohl noch ein paar Minuten bleiben, muss ich mich tatsächlich aufraffen, um am Teleskop noch ein paar Highlights aufzuschnappen. Die Beobachtungsliste schlägt einen schwachen Kugelsternhaufen aus dem Palomar-Atlas vor.

__[[Palomar 5]]__: Bei 65 facher Vergrößerung wird ein ganz schwaches Glimmen neben einem schwachen Stern sichtbar. Zum Zentrum hin leicht heller werdend. Keine Einzelsterne sichtbar. Kann indirekt gut gehalten werden. Läuft diffus aus.

Bin am Ende total im Eimer und froh, dass die Nacht endlich zu Ende ist. Die Sommermilchstraße steht jetzt deutlich höher und es ist wie immer beeindruckend, wie hell sie tatsächlich ist. Ich stelle spontan M4, M11, Pfeifennebel und B142 & 143 ein. Alles sehr beeindruckend. Die Uhr ist mittlerweile vorgestellt und so bin ich erst gegen acht Uhr morgens im Bett. Ich bin ganz froh über die Tatsache, dass am nächsten Tag hohe Wolken durchziehen und mir eine Verschnaufpause gönnen.

[[<< Zurück zur vorangegangenen Nacht|La Palma im März 2017]] | [[Weiter zur nächsten Nacht >>|27. März 2017 - La Palma]]

Klar, weniger Dunst als gestern. Durchsicht ist recht gut. Seeing übrigens auch. Erstes Objekt ist der Eskimonebel. Kann ohne Probleme bis auf 562x vergrößert werden. Es zeigt sich sehr schnell die innere Schale und sogar die Brücke. Schön auch der Pelzkragen. Zuvor, ich vergaß, habe ich Hi & Chi, sowie M42 eingestellt. Beim Orionnebel handelt es sich tatsächlich um eine Verabschiedung vom Winterhimmel. Die Milchstraße ist ganz schwach zu erkennen. Das zeigt, dass die Durchsicht wieder deutlich besser geworden ist. Das hat sich tagsüber zum Teil schon ein wenig angekündigt. Aber erst in der Dämmerung war klar, dass der Staub abzieht. Sieben Stunden exzellente Nacht stehen bevor. Ich freue mich riesig.

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Zunächst ein Klassiker.

!M96

Schöne und helle Balkenspirale. Aufgrund der Helligkeit kann sie bis auf 378x vergrößert werden. Am besten erscheint mir jedoch 230x. Es zeigt sich ein halbrunder, heller Kern, ohne stellarem Zentrum. Davon ausgehend kurzer Balken an dessen Ende helle, kurze Arme abgehen. In einem ist ein hellerer Knoten zu erkennen. Weiter außen zeigt sich ein diffuser umlaufender Spiralarm. Dies ist nur bei niedriger Vergrößerung sichtbar. Das Objekt ist recht schwierig, denn große Teile zeigen sich nur diffus. Dennoch echtes Highlight, denn hell und lohnend. Etwas abseits steht eine kleine, linsenförmige Hintergrundgalaxie, die praktisch stellar wirkt. Keine Strukturen in dieser erkennbar.

Gegen Mitternacht gehen plötzlich die Scheinwerfer der Skipiste auf der Wasserkuppe an. Zwar geht der Himmel davon nicht kaputt, aber das ist schon sehr krass. Nach 10 Minuten ist der Spuk vorbei, und die Anlage wieder aus. Hätte ich da drüben beobachtet, wäre das ein Spaß gewesen!

![[Arp 143 = NGC 2444 & NGC 2445|NGC 2444 & 2445 = Arp 143]]

Nur per Starhopping aufzufinden. Die Galaxien sind so schwach, dass sie bei Aufsuchvergrößerung kaum auffallen. Daher muss man das Sternfeld genau identifizieren. Dann kann man auch schon bei 80x NGC 2444 erkennen. Optimale Vergrößerung scheint 239x zu sein. Um alle Details sauber separieren zu können, sind allerdings 380x notwendig. Es zeigen sich insgesamt sechs bis sieben zum Teil linsenförmige Knoten, wenige mit stellarem, hellem Zentrum. Der überwiegende Teil ist einfach schwach und klein. Insgesamt ein sehr interessantes Objekt, denn hin und wieder hat man den Eindruck, dass die Galaxien durch einen Nebel verbunden sind.

Hätte schwören können, dass heute die Bedingungen deutlich besser sind. Aber dass SQM-L spricht eine andere Sprache, 21.45 im Zenit.

Ich bin wieder in M51 unterwegs. Ich „suchte“ mich bei perfekten Seeingbedingungen durch die Spiralarme und bin überrascht, wie viele Details man tatsächlich erkennen kann. Praktisch in jedem Teilbereich, in den man blickt, erkennt man auf den zweiten Blick, Knoten und stellare Kondensationen. Fantastisches Objekt!

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![[M64 - die Galaxie mit dem schwarzen Auge 👁|M64]]

Ja, die mit dem schwarzen Auge. Sehr hell bei 83x. Optimal bei 231x. Der prominente Dunkelbereich ist Mega auffällig, und was noch interessanter ist, dass er einen helleren Rand hat und hin und wieder scheint es, dass dieser auf der nach außen liegenden Seite bei 378x immer wieder aufblitzende, kurze, hellere Stücke zeigt. Dies ist aber schwer zu erkennen. Sonst kann man kaum Strukturen ausmachen. Interessant sind die - nach außen abgehenden - schwachen Ausläufer, die sich längsseitig zeigen und wie „Zipfelmützen“ wirken.

Zuvor bin ich aufgrund falscher Positionierung wieder bei meinem alten Objekt M53 gelandet. Das Bino wird wieder reingeschoben und ich schaue einfach und genieße.

[[<< Zurück|24. März 2022 - Lange Rhön]] | [[Weiter >>|26. März 2022 - Lange Rhön]]

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<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/29669206220/in/datetaken/" title="Stumpi"><img src="https://c5.staticflickr.com/9/8536/29669206220_6407c80e05.jpg" alt="Stumpi"></a>Und es wird fleißig beobachtet.</div> 

Stumpi! Klar mit einigen Flugzeugspuren. Leichter Wind aus Süden. Quasi Föhn. Bin alleine. Trocken. Wirkt wie ein lauer Sommerabend. Kaum zu glauben, dass Ende September ist. Sogar die Grillen zirpen. Heute soll der Mond um 02:00 Uhr aufgehen. Handyempfang genau so schlecht wie in der Rhön. 

Am Platz stehen vier Wohnwagen.Trotzdem niemand da. Schöne Landluft. Was ein bisschen stört, sind die Geräusche der nahen riesigen Windräder.

__[[NGC 7662 - Blauer Schneeball]]__: Bei 56 fach schon als kleines, rundes, blaues Nebelbällchen zu erkennen. Seeing ist phänomenal. Pickering 8 geschätzt. ZS ist mit viel Mühe zu erkennen. Kann für Momente bei ca. 600 fach immer wieder knapp gehalten werden. Ist als heller verwaschener Punkt im Zentrum auszumachen. Mit  der Verlängerungshülse geht es auf ca. 800 fach. Unglaublich: Die "Fliers" werden deutlich sichtbar. Südöstlicher am hellsten und etwas abgesetzt. Mittig ist hellerer Knoten blickweise erkennbar. Nördliche und südliche "Fliers" schwächer. Farbe verschwindet bei hohen Vergrößerungen. Ohne Filter. Zu den Fliers gibt es auf [[Uwe's Seite|DeepSky-Visuell.de]] was zum Thema [[Deep-Sky Herausforderungen|http://www.deepsky-visuell.de/Projekte/DS_Herausforderungen.htm]] zu lesen.

21.43 im Zenit um 21:15 Uhr. Erkenne trotz Dunkelheit eine Grille auf meinen Quickfinder. Sitzt ganz oben. Na sowas! Als nächstes kommt das [["Astrotreff - Objekt des Monats"|http://www.astrotreff.de/topic.asp?TOPIC_ID=200460&whichpage=1]] für September 2016: NGC 70 Gruppe bzw. Arp 113.

__[[NGC 70 Gruppe bzw. Arp 113|Arp 113]]__: Sehr interessante Gruppe. Kann bis 290 fach vergrößert werden. Neben einem Sternendreieck wird ein Galaxiendreieck sichtbar. NGC 68 ist recht hell mit hellem Kern. NGC 70 diffus mit sternartigem Zentrum und wird von zwei Feldsternen eingerahmt. Ist die hellste der drei. Danach kommt NGC 68. Wobei ich zunächst zwischen beiden schwanke. Was im Nachhinein verständlich ist liegen die beiden von der Helligkeit nur 0.05 mag auseinander, NGC 68 mit 14.4 und NGC 70 mit 14.35 mag. Soll lt. Sky Safari die hellste sein (13.19 mag). Ist aber dunkler. NGC 71 bildet mit zwei Feldsternen rechtwinkliges Dreieck. Nachdem die Transparenz nach Abzug von Zirren nochmal deutlich besser wird, wird die Ausdehnung dieses Triplets noch mal richtig deutlich. Die Galaxien sind groß. NGC 70 scheint fast mit seinen diffusen Außenbereichen die beiden einrahmenden Feldsterne zu berühren. Insgesamt stehen die drei Galaxien tatsächlich dicht. Mit einem flüchtigen Blick auf die Gruppe quasi kaum auszumachen. Abseits von NGC 68 werden zwei schwache aber eindeutig erkennbare Galaxien sichtbar: NGC 67 und NGC 67A. Etwas abseits ist NGC 72 und NGC 72 A zu erkennen. Weiter wird spindelförmig NGC 74 sichtbar. Südlich und nordwestlich weitere schwächere Galaxien. Ein schönes Foto gibt es vom [[Capella-Team|http://www.capella-observatory.com/ImageHTMLs/Galaxies/NGC70.htm]].

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;">
<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/29314610333/in/datetaken/" title="Wolkenprognose Stumpi"><img src="https://c6.staticflickr.com/9/8266/29314610333_a783ea2b06.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Die Wolken sind noch 100km entfernt und bleiben da.</div>

Muss schließlich die Beobachtung abbrechen, da wieder dichtere Wolken durchziehen. Dahinter wird es aber wieder sehr klar. War drauf und dran abzubaueen. Aber die App mit der Stundenvorhersage sagt, dass es gleich wieder aufklaren soll. Schön das es sowas heutzutage gibt.

__[[NGC 891]]__: Kleine Galaxie wird direkt neben den Bulge als kleiner Nebelball bei 290 fach sichtbar. Ist auch so eine [[Deep-Sky Herausforderung|http://www.deepsky-visuell.de/Projekte/DS_Herausforderungen.htm]]. Bei 114 fach auch zu erkennen, wenn man weiß worum es geht. Nicht ständig zu halten. Blitzt aber immer wieder eindeutig auf. NGC 891 kann ohne Probleme bis auf 290 fach vergrößert werden, ohne dass der Galaxienkörper zu stark absäuft. Nur die schwachen Enden verschwinden.

21.53 im Zenit um 01:00 Uhr. Dann ein Blick auf das nächste Objekt NGC 838. Steht relativ tief. Obwohl die Horizontsicht nach dem Durchzug der Wolken wieder sehr gut ist, entscheide ich mich hier einen Cut zu machen. Stumpi ist eine gute Alternative zur Rhön und deutlich schneller zu erreichen. Der Himmel ist vergleichbar. 

Zum Schluss noch ein Klassiker IC 59 & 63 in der Cassiopeia. Schön anzusehen und einfach auszumachen. Wirklich schöner Himmel hier.

Um halb zwei packe ich zusammen. Erst jetzt ist die Autoscheibe etwas nass. Sehr trockene Angelegenheit heute Nacht. Und temperaturmäßig mit +13°C auch wie Sommer statt Herbst. Zusammen mit dem Seeing einfach gut.

[[<<Zurück zur vorangegangenen Nacht|24. September 2016 - Lange Rhön]] | [[Zurück zum Artikel>>|Laue Sommernächte im Herbst]]

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Neumondphase. Wind aus Ost. Klar und warm. Wenig geschlafen. Müde. Transparenteste Nacht bisher. SQM-L Werte von 21.5-21.6 bis zum Horizont. Airglowband fast komplett verschwunden. 

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Erstes Objekt soll HCG 55 sein: 

*22:20 Uhr - ''NGC 3735'': Auf dem Weg zu HCG 55. Bei 56 fach als kleine Spindelförmige Galaxie sichtbar. Verträgt höhere Vergrösserung. Bei 168 fach zeigt sich eine Helligkeitszunahme zum Zentrum hin. Westlich neben dem Zentrum ein schwacher Vordergrundstern.

*23:05 Uhr - ''HCG 55'': Von Nord nach Süd verlaufende Galaxienkette. Bei 168 fach treten immer wieder drei Galaxien bei geduldiger indirekter Beobachtung hervor. Können nicht ständig gehalten werden. Bei 300 fach deutlich separiert. SQM-L 21.50 30 Grad über dem Horizont und im Zenit.

*0:45 Uhr - ''Abell 41'': Nach sehr langer und intensiver Beobachtung bei 114 fach und UHC-Filter zeigt sich zunächst nichts eindeutiges. Bei weiterer Steigerung der Vergrösserung auf 168 fach wird das Bild dunkler und ruhiger. Jetzt blitzt hin und wieder aber wiederholt an der richtigen Stelle ein kleiner runder Nebel zusammen mit einem sehr schwachen Stern auf. Genaue Position des Sterns zum Nebel nicht genau erkennbar. Letztlich brachte die stärkere Vergrösserung den Erfolg und der sehr nützliche Hinweis auf den UHC anstatt OIII. OIII-Filter nicht mehr versucht, da keine Lust mehr. Schwer!

*02:15 Uhr - ''Abell 48'': Trotz intensivster und langer Beobachtung zeigt sich bei 114 fach und OIII nichts. Es ist einfach nichts zu erkennen.

*02:50 Uhr - ''NGC 40'' - Ovaler scharf abgegrenzter Nebel mit hellem ZS. In der Mitte dunkler. Westlicher Nebelteil heller, insbesondere die Nebelkante. Nördlich schwacher Stern knapp ausserhalb des Nebelgebietes. 

*03:00 Uhr - ''Komet Jacques'': Bei 56 fach ist ein grosser Nebel mit Helligkeitszunahme zum Zentrum hin zu sehen. Zentrum selbst ist sternförmig. Form dreieckig diffus auslaufend. Schöner Anblick inmitten der Herbstmilchstrasse.

 *04:48 Uhr - ''Abell 74'': Ab und zu wird ein diffuses sehr großes Glimmen um einen Stern bei 56 facher Vergrösserung und OIII sichtbar. Im potenziellen Nebelgebiet sind viele weitere schwache Sterne zu sehen, welche die Beobachtung stören. Nach intensiven Vergleichsbeobachtungen angrenzender Sternfelder und mehrerer Beobachtungspausen, ist die Beobachtung wiederholbar und deshalb sicher. Bei 114 fach ist die Hintergrundgalaxie MCG+4-50-4 gut und ganz sicher zu erkennen.

Objekt: 252P/LINEAR, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56x, Filter:-, Bedingungen: SQM-L 21.7, Ort: RDLM, Zeitpunkt: 04.04.2016 um 05:00 UT

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[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27046456601/in/datetaken/]]

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/31126413053/in/datetaken/" title="Ohne Titel"><img src="https://live.staticflickr.com/577/31126413053_d934454fe0_k.jpg"></a>Am Ende der Nacht auf dem Heimweg aufgenommen. Mond, Skorpion und Dorf.

Wieder am neuen Platz. Wieder kalt. Luftfeuchte wieder hoch, aber geringer als gestern. Dann der Schreck: Beim Aufbau ist der Hauptspiegel fett beschlagen und auf einer Seite ist sogar eine kleine Wasserlache zu sehen. Auto stand dämlicherweise in der Sonne und ist wohl zu warm geworden. Egal. Klopapier wird abgeseilt und die Lache weggesaugt. Rest trocknet langsam ab. Huch, war das eine Überraschung! 

Zirren ziehen durch. Vor allem im Süden.

Erstes Objekt ist NGC 288. Sollte trotz Zirren gehen.

__[[NGC 288]]__: Sehr großer KS, der bei 168 fach bereits vollständig aufgelöst ist. Unregelmäßige Form. Am südlichen Rand hellerer Einzelstern.

Unweit von NGC 288 befindet sich wohl die mit bekannteste Galaxie überhaupt: NGC 253 - Silver Dollar.

__[[NGC 253 - Silver Dollar]]__: Da muss man nichts mehr sagen! Bei 168 fach wird eine riesige  Galaxie, die aber trotzdem noch ins Gesichtsfeld passt, sichtbar. Für das 120° Okular und Newton perfekt. Ein schwieriges Unterfangen ist die Beobachtung der vielen Strukturen, da sich immer wieder neue Details zeigen, insbesondere im Kernbereich. Kaum glaube ich, die vielen Knoten identifiziert zu haben, kommen weitere hinzu. Irgendwann breche ich ab.

Eigentlich sollte es heute schon bewölkt sein. Ist es aber nicht. Alle mir bekannten Vorhersagen 7timer, eltiempo.es, AEMET und Wetteronline melden dies. Das macht mir zu schaffen. Morgen soll es auch wolkig sein. Mal schauen.

__[[NGC 660]]__: An diesem Objekt kann man seinen ganzen Okularkasten arbeiten lassen. Zunächst wird bei 65 fach die ganz schwachen Ausläufer in Form zweier gebogener Spiralarme nach langer intensiver Beobachtung sichtbar. Erinnern mich irgendwie an die "Antennen". Bei 290 fach schließlich wird das längsseitige Staubband immer wieder Blickweise sichtbar. Auf der gegenüberliegenden Seite zeigt sich kein Bulge. Denn hier ist ebenfalls ein Staubband unterwegs. Beide scheinen sich am nördlichen Ende zu treffen, was sich als Fehlstelle im Galaxienkörper beim Übergang zum Spiralarm zeigt bzw. eben nicht zeigt. Insgesamt ein schwieriger, aber sehr dankbarer Kandidat.

__[[NGC 1333]]__: Heller Reflexionsnebel in der Nähe bzw. um einen hellen Stern. Schon bei 65x eindrucksvoll hell und groß. Es zeigt sich ein ovaler Nebel, der von einem hellen Stern abgeht. Im Nebelgebiet befinden sich zwei schwächere Sterne, sowie ein etwas hellerer, der auf dem Rand liegt. Zwischen diesen vier Sternen zeigen sich bei 168 facher Vergrößerung verschieden helle Knoten. Sehr schönes Objekt!

__[[Flammen- & Pferdkopfnebel|NGC 2024 & IC 434]]__: Flammennebel ist riesig. Am schönsten bei 168 fach. Mit Hß-Filter wird IC 434 ebenfalls sichtbar. Super Motiv!

__[[NGC 2438 mit 14 Zoll]]__: Es zeigt sich ein Rauchring, der locker auf 290 fach vergrößert werden kann. Zur einen Seite hin ist er offen und hat zwei gegenüberliegende hellere Kanten. Zentralstern ist gut zu erkennen, liegt aber abseits der Mitte. Weiterer schwächerer Stern liegt ebenfalls innerhalb des Nebels.

__[[Minkowski 1-18]]__: Kleiner, runder Nebel, der schon bei 290 fach ohne Filter an der richtigen Stelle zu erahnen ist. Mit OIII Filter wird er dann relativ einfach sichtbar. Wenn man ihn dann gesehen hat, wird er auch ohne Filter recht einfach sichtbar und kann indirekt knapp gehalten werden. Erinnert mich irgendwie an einen Abell PN.

__[[IC 2165]]__: Bläulicher Nebel bei 65 fach. Sieht zunächst aus wie ein Stern. Bei genauer Beobachtung allerdings zeigen sich im Vergleich zu anderen Sternen weiche Kanten. Bei 290 fach eindeutig flächig, aber ohne Struktur. Mit OIII-Filter wird auch kein Halo sichtbar. Bei ca. 800 fach wird tatsächlich eine Ringstruktur andeutungsweise sichtbar. Kann nicht gehalten werden, sondern taucht bei sehr gutem Seeing immer wieder auf. Es zeigen sich zwei gegenüberliegende, hellere, relativ kurze Nebelsegmente auf dem Rand, die durch eine schmaleres, dunkleres Segment verbunden sind. Gegenüber ist der Rand diffuser und breiter. Innenbereich etwas dunkler, aber "gefüllt".

''3C 273'': Sehr, sehr weit entferntes Objekt. Ein Quasar. Sieht wie ein kleiner unscheinbarer Stern aus. In seiner unmittelbaren Nachbarschaft steht tatsächlich ein etwas schwächerer Stern. 65 fache Vergrößerung. Kaum zu glauben, wie hell dieses Objekt tatsächlich sein muss!

__[[UGC 3697 - Integralzeichen Galaxie]]__: Wunderschöne Superthin-Galaxie. Kann bis auf 290x vergrößert werden. Selbst dann ist die Galaxie noch gut zu erkennen und indirekt gerade so auch das gebogene Ende sichtbar. Schön!

Die Okulare sind kalt und beschlagen - wie gestern auch - am Ende der Nacht sehr leicht. Ich bin auch ziemlich fertig und so schenke ich mir die letzte halbe Stunde. Der Boden ist wieder gefroren und glitzert vom Frost.

[[<<Zurück zur vorangegangenen Nacht|25. Dezember 2016 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht>>|27. Dezember 2016 - Pinar de Araceli]]

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Gestern habe ich nicht beobachtet. Es war zunächst bewölkt und dann war das Seeing richtig schlecht. Später kam starker Wind hinzu. 

Heute nachmittag habe ich einen Termin bei Athos.org. Treffe mich dort mit Kai dem Besitzer des "Starcampus". Die Anlage macht einen sehr guten Eindruck. Auf dem Gelände gibt es verschiedene Beobachtungsplattformen. Eine befindet sich sogar dem Dach eines Hauses. Man kann dort übernachten und sich ausschließlich der Astronomie widmen. Wir sprechen beim Rundgang über alles mögliche. Hier hat sich tatsächlich jemand einen Lebenstraum erfüllt. Beeindruckend ist auch die Sternwarte, die zwar klein, aber eine schwere Montierung mit zwei großen Geräten beinhaltet. Vermietet werden zudem alle möglichen Teleskope bis hin zum 25 Zöller. Den gibt es aber aktuell noch nicht, da noch im Bau. Einen 20 Zöller hingegen kann man schon jetzt mieten. Alles soweit bekannt. Trotzdem schön mal das Ganze vor Ort zu sehen.

Fahre heute wieder zum Reventón. Oben weht kaum ein Wind. Das sollte sich aber später leider ändern. Baue auf und genieße die Aussicht. Es weht ein schwacher Wind aus NE. Auf dem Roque wird WSW-Wind angezeigt.

[[NGC 1360]]: Ovaler, lang gestreckter Nebel um einen recht hellen Stern. Vermute zunächst eine durchziehende Zirre beziehungsweise gar einen beschlagenen Fangspiegel. Mit OIII zeigen sich unterschiedlich helle Segmente. Nördliches Segment scheint am hellsten zu sein. Südliches Segment ist wiederum ebenfalls strukturiert. In ihm befinden sich etwa ein halbes Dutzend schwache Sterne, die aber bei 168 fach nur bei Momenten guten Seeings Blick Weise immer wieder aufflackern, aber nur ohne Filter zu erkennen sind. Ohne Filter ist der Nebel im übrigen auch sehr gut beobachtbar und sogar die Strukturen gut erkennbar. Der OIII bringt lediglich ein bisschen mehr Kontrast. Insgesamt erinnert er mich ein bisschen an den Hexenkopfnebel.

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[[HCG 26]]: Heute noch mal bei besserem Seeing beobachtet. Bei 290 fach wird überraschend einfach eine lang gezogen Galaxie sichtbar, direkt neben einem schwachen Stern. Die Galaxie könnte auch als eine "Superthin" durchgehen. Merkliche Helligkeitszunahme zum Zentrum hin. Kann indirekt knapp nicht gehalten werden. An ihrem nordöstlichen Ende ist ein heller Knoten sichtbar. Abseits in einigem Abstand ist ebenfalls indirekt schwach eine linsenförmige Galaxie erkennbar. Bei längerer geduldiger Beobachtung entpuppt sich der Stern als "Doppelstern". Die schwächere Komponente ist indirekt Blickweise immer wieder zu sehen. Fast auf der Verbindungslinie der beiden schließt sich ein weiterer schwacher Stern an. Zusammen bilden Sie mit dem hellen Knoten ein fast gleichschenkliges Dreieck. Bei längerer Beobachtung des Knotens wird abseits sehr schwer und nur wenige Male ein weiterer schwacher abgesetzter Knoten sichtbar. Letzteres ist aber unsicher.

Der Himmel ist wieder richtig gut. 21.86 werden im Mittel gemessen. Es folgt eine Nachschau.

[[Arp 206]]: Diesmal bei 168 fache Vergrößerung werden nahe dem Zentrum in südwestlicher Richtung zwei helle Knoten sichtbar. Am nordöstlichen Ende der Galaxie schließt sich offenbar ein Gezeitenschweif (?) an, an dessen Ende ein ovaler diffuser Knoten erkennbar ist. Den hatte ich [[vorgestern|24. Januar 2017 - La Palma]] offenbar übersehen.

''M78'': Ovaler Nebel. Hellste Bereiche herzförmige. Unterschiedlich helle Bereiche sind auszumachen. Am hellsten ist der Nebel um zwei helle Sterne. Ein weiterer Stern ist im Nebel etwas schwächer zu sehen. An ihm geht ein heller Nebelbogen ab. Weitere Sterne sind im Nebelgebiet nur schwer auszumachen, scheinen aber im hin und wieder hervor.

Der Wind nimmt steig zu. Er weht in Böen und ich bin genervt. Deshalb beschließe ich abzubauen und ca. 150m tiefer in den Weinbergen wieder aufzubauen. Unten ist tatsächlich nicht so windig.

[[M108]]: Sehr große und komplexe Galaxie. Kann bis auf 290 fach vergrößert werden und ist dennoch hell. Bei 290 fach zeigt sich ein helles lang gestrecktes Zentrum in dessen Nähe ein heller Vordergrundstern steht. Weitere zwei Sterne im Galaxienkörper auszumachen. Der Galaxienkörper selbst ist stark zerklüftet und zeigt viele helle Knoten und Verdickungen. SQM-L 21.86.

[[IC 3568]]: Helles, bläuliches Scheibchen bei 65 fach. Kaum von den Feldsternen zu unterscheiden, außer durch den im Vergleich weicheren Rand. Bei 420 fach immer noch sehr hell. Ganz dicht außerhalb des PNs steht ein Stern. Zentralstern nicht gesehen, da Seeing schlecht. Eine Stunde später ist das Seeing wieder deutlich besser. Jetzt wird der Zentralstern Blickweise immer wieder sichtbar. Dem hellen Nebelgebiet schließt sich ein schwacher, schmaler Halo an.

''Abell 30'': Schwaches, rundes Glimmen um einen Stern. Kann bei 114 fach gerade so noch erahnt werden. Bei 65 fach und maximaler AP ist es deutlich einfacher. Der Nebel läuft diffus aus und lässt sich nicht scharf abgrenzen. Kein Ring, sondern eine gefüllte Scheibe.

Zum Abschluss in ich erneut in der "Markarian Galaxienkette" unterwegs. Ziel ist es weitere schwächere Galaxien zu erkennen. Kann insgesamt vier weitere bei 65 fach erkennen.

Noch eine Stunde bis zur Dämmerung. Ich packe schon jetzt zusammen, da das Seeing sich zwar etwas erholt hat, insgesamt aber schlecht bleibt, ganz im Gegensatz zum Beginn der Nacht. Die Teleskope auf dem Roque sagen 1.5 arcsec.

Während ich abbaue wird alles schnell nass. Ok, Wolken im Anmarsch. Am Haus ist es bewölkt. Man gut, dass ich hoch gefahren bin.

[[<<Zurück zur vorherigen Nacht|24. Januar 2017 - La Palma]] | [[Weiter zur nächsten Nacht>>|27. Januar 2017 - La Palma]]''

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Die erste Nacht ist kurz. Nach zweieinhalb Stunden soll der Mond aufgehen. Es geht nach Bonilla. Mit dabei ist mein Sohn. Mal sehen, was er "davon" hält. Bin außerdem mit Roberto verabredet. Roberto hat deutsches Bier mitgebracht. Wir quasseln erst einmal. Vorhersage von Meteoblue bzgl. Seeing ist der Knaller. Und  tatsächlich: Vor Beginn der astronomischen Dämmerung sind Saturn und Mars trotz des relativ niedrigen Höhe sehr schön anzusehen. Mars zeigt eine ausgeprägte Phase. 

!!!Er redet wirr...

Wir freuen uns darüber und die Nacht geht los. Sohnemann redet wirr beim Anblick der sehr strukturierten Sommermilchstraße und faselt was von "zerissenem Himmel". Nach Saturn und Mars sieht er M8 & M17, dann M11. Auf Nachfrage bleibt er stumm und geht schließlich "ins Bett", d.h. schläft auf der Rückbank. Bei den älteren geht es jetzt los. Ich habe Arp 261 auf meiner Liste. 

''Arp 261:'' Obwohl schon tiefstehend, ist schon bei 65 fach ein ovaler Schimmer zu erahnen. Bei 114 fach sehe ich einen ovalen, länglichen diffusen Nebel, der südwestlich durch eine hellere Kante abgeschlossen wird. Nordöstlich auch etwas heller, aber nicht so ausgeprägt wie gegenüberliegender Teil. Letzteres ist nur vage erkennbar und bleibt unsicher. Seeing ist trotz 22° Höhe sehr gut. 

!!!Wind & Wolken kommen auf

Im Zenit messe ich gemittelte 21.57 mit dem SQM-L. Roberto 21.43 mit dem SQM. Bedingungen sind also gut. Transparenz ist sehr gut. Und überhaupt kein Wind. Kurze Hosen und T-Shirt sind angesagt und die Temperaturen fallen nicht unter 20° Grad Celsius. Die Stundenvorhersage sagt aber ab 01:00 Uhr recht starken Wind vorher. Na ja, diese Nachtkappen, denke ich. Plötzlich kommt leichter Wind auf. Das Seeing bricht massiv sein. Und der Wind nimmt deutlich zu. Mist! Der Rest ist schnell erzählt. 

Zwar erholt sich das Seeing kurzzeitig immer mal wieder, bleibt aber schlecht. Ich beschäftige mich mit diversen Objekten aus meiner Beobachtungsliste, quasi als Vorausschau.

''NGC 6140:'' Runder bis ovaler Nebel bei 114 fach. Zentraler Balken gut erkennbar. Spiralarme aber nicht. Vermute liegt am schlechten Seeing.

Dann M13 unter dem Aspekt, wie man das Teil ggf. auf Papier bringt.

Gegen 01:30 Uhr geht dann der Mond auf. Vorher tauchen schon Wolken auf. Sind dunkler als der Nachthimmel. Zusammen mit dem Mond sieht die Szenerie aber toll aus. Ich fahre nachhause während Roberto auf seinem mobilen Bett einschläft. 

Für die nächsten Tage sind Wolken angekündigt. Am Wochenende soll es vereinzelt regnen. Ab Montag dann wieder schön. Dann soll es endlich nach Andalusien los gehen.

[[weiter >>|29. Juli 2016 - Bonilla]] 

Heute Morgen kamen Wolken auf. Daher haben wir schon um vier Uhr abgebaut. Die Wolken ziehen über Mittag ab, aber am Nachmittag tauchen wieder neue Wolkenbänke auf. Es handelt sich dabei um tiefe und mittelhohe Wolken. Nichts dramatisches, allerdings recht ungewöhnlich für den Juni. Die Temperaturen gehen sprunghaft nach oben. Und die Nacht beginnt mit recht angenehmen 11 °C. Luftfeuchtigkeit ist bei circa 57 %, was allerdings auch recht hoch für diese Jahreszeit ist. Aber das war in den anderen Nächten nicht anders. Es weht auch ein recht frischer Wind, der aber nicht stört. Seeing sieht relativ schlecht aus, was sich am Teleskop bestätigt. Dennoch kann man sinnvoll bis circa 300x vergrößern.

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Erstes Objekt ist am Untergangshimmel RCW 34.

![[RCW 34]]

Recht gut auffindbar. Steht aber schon sehr tief. An der richtigen Position zeigt sich schließlich bei 280x ein kleiner, sichelförmiger Nebel, der durch einen Stern zu scheinen geht. UHC probiert, hat allerdings keinen Effekt. Mathias findet sich zunächst nicht zurecht, bestätigt die Beobachtung allerdings dann doch. Recht schönes Objekt, insbesondere am Abend und als Einstimmung, da nicht sonderlich schwer.

![[M 16 - Adlernebel]]

Dann geht es wieder zu M16. Ich glaube die vierte Zeichnung beginne ich jetzt bzw. vervollständige ich basierend auf der Beobachtung von vor zwei Nächten. Schon mehrfach immer wieder gezeichnet, aber nie getraut es in eine Reinzeichnung umzusetzen. Wie gesagt - dies ist der vierte Versuch. Anschließend gehen wir erst mal in die Hütte und trinken einen Kaffee. Der Wind bläst immer noch ordentlich.

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![[Hartl-Dengel-Weinberger 12]]

Ebenfalls eine Nachbeobachtung vom letzten Jahr. Musste ich leider noch mal machen, da ich das Sternfeld auf meiner ursprünglichen Zeichnung nicht korrekt identifizieren konnte und damit auch unklar war, wo die genaue Position des Nebels lag. Bei 178x zeigt sich mit OIII-Filter an der richtigen Stelle ein Glimmen, um einen sehr schwachen Stern. Innerhalb des Nebelgebietes bzw. auf seinem Rand ist ein weiterer sehr schwacher Stern zu erkennen, der sich aber nur zeigt, wenn man den Filter entfernt. In unmittelbarer Nähe befindet sich auch eine unscheinbare Galaxie, die auch als Orientierung dienen kann. Diese ist allerdings nur sehr schwach ohne Filter zu erkennen. Der Nebel kann übrigens nicht indirekt gehalten werden, sondern blitzt immer wieder auf. Dennoch handelt es sich um eine sichere Beobachtung wenngleich sehr schwierig.

!NGC 4650

Taucht an der richtigen Stelle als kleines, diffuser Fleck auf. Vom Polarring nichts zu sehen. In der Nähe stehen weitere, viel hellere Galaxien.

![[C/2017 K2 (PANSTARRS)]]

Vorschlag von Mathias. Im 14 Zoll Dobson ist er schon gut zu erkennen. Stellarer Kern mit ausgedehnter Koma, die oval ist und diffus ausläuft. Der Hammer ist aber der Schweif, der die Koma etwa um das zehnfache übersteigt und nach Südwesten erstreckt. Die Koma lässt sich am besten im 25 Zöller bei 278x beobachten und zeigt im Innern eine Art Fächer oder möglicherweise auch einen Gegenschweif. 

+9° Celsius bei 71 %Luftfeuchtigkeit. Der Himmel wird wieder besser, nachdem er bis Mitternacht etwas seifig war. Aktuell läuft auch ein Timelapse mit, wobei unklar ist, ob das ganze was wird, denn zwischendurch blies der Wind ganz schön ordentlich.

Jetzt kommt etwas Genussspechteln: M27 mit faseriger Struktur, sogar ohne Filter schon erkennbar. Am schönsten bei circa 300x, denn dann werden im Innern die Filamente kontrastreicher sichtbar. Filter bringt noch einiges mehr an Kontrast, aber Mathias meint, das man damit eigentlich nicht mehr sähe. Recht hat er. Weiter geht es zum Helixnebel. Zunächst mit UHC, zeigt sich auch hier ein sehr schöner und heller Nebel. Ich halte noch Ausschau nach dem Halofilament, allerdings zeigt sich dieses nicht eindeutig. Nun schauen wir kurz Saturn an, der ganz in der Nähe steht. Das Seeing ist tatsächlich ganz brauchbar. Gut zu sehen ist seine Bauchbinde und natürlich auch die Cassini-Teilung. Das Bild wabert allerdings hochfrequent.

![[NGC 6567]]

Schon bei 100x an der richtigen Stelle im Sternfeld ganz subtil als leicht unscharfer Stern erkennbar. Aufgrund des guten Seeings kann bis auf 900x vergrößert werden. Es zeigt sich ein heller, ovaler zunächst strukturloser Nebel ohne Zentralstern. Immer wieder kann ich innerhalb des Nebels eine hellere Schale sehen. Ab und an glaube ich den Zentralstern gesehen zu haben, aber das ist nicht ganz sicher.

Sculptor Galaxie. Sehr hell bei 100x. Unglaublich zart und strukturiert. Dann NGC 45, eine unspektakuläre, spindelförmige Galaxie. Dann wieder NGC 55 und die ganz in der Nähe stehende NGC 300, die mehrere Spielalarme zeigt, aber insgesamt sehr diffus bleibt.

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![[NGC 300]]

Am Ende raffe ich mich doch auf und fange eine Zeichnung an. Wie bereits beschrieben, wirkt die Galaxie enorm diffus. Das Zentrum ist als solches praktisch gar nicht zu erkennen sondern ist letztendlich ein ovaler Spot mit nur geringerer Helligkeitszunahme zum Zentrum hin. An den Enden gehen diffuse Spiralarme ab, wobei sich östlich ein recht markanter Knoten zeigt. Der Spiralarm biegt dann nach Süden ab, um parallel zum Zentrum zu verlaufen. Auch hier zeigen sich, kaum merklich, ein bis zwei sehr diffuse und strukturlose Knoten.

Mittlerweile werden 93% Luftfeuchtigkeit aufgerufen. Die Okulare sind teilweise beschlagen. Beobachten lässt sich so kaum mehr. Es ist 5:30 Uhr, und ich packe zusammen. Zuvor muss ich noch die Kamera abholen, die ich für einen Timelapse in die „Walachei“ gestellt hatte. Der Wind ist kaum mehr spürbar.

[[<< Zurück zur vorangegangenen Nacht|25. Juni 2022 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|27. Juni 2022 - Tivoli Astrofarm]]

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Leicht bewölkt mit Zirren. +11 Grad Celsius. Windstill.

Heute haben wir eine Farmrundfahrt gemacht. War genial! Tiere gesehen, den Sonnenuntergang genossen. Morgen kommt dann der Sundowner. 

Vor dem Abendessen surfe ich wieder einmal durch die LMC. Vom Tarantelnebel zu NGC 2074, der vermutlich zum Tarantelnebel gehört. Seeing ist heute sehr gut. Dann kommen recht dichte Wolken auf. Sie ziehen bis nach Mitternacht durch. Dazu gesellt sich Wind aus Westen. Es bleibt mit +12 Grad Celsius recht warm.

//He 2-99//: Leider nichts zu sehen. An der richtigen Position steht ein heller Stern. Diesen umgibt leider kein Nebel, zumindest keinen, der heute und jetzt erkennbar wäre. OIII hilft auch nicht den Sachverhalt zu klären. In Momenten guten Seeings scheint es als umgebe den Stern ein kleiner Halo. Vergleichsbeobachtungen an anderen Sternen stützen die These und wiederlegt sie zugleich.

[[Menzel 3]]: Super schwer aufzufinden, da im reichen Milchstraßenfeld gelegen und im Aufsuchgebiet fast nur schwache Sterne zu finden sind. Bei 100 fach trotzdem schon zu erahnen, da ein kleiner langgestreckter Nebel erahnbar wird. Da es aber auch die schwache Sternenkette sein könnte, ist dies zunächst einmal Spekulation. Bei 670 fach ist aber sofort klar, dass es sich um den gesuchten PN handelt. Reagiert nicht auf OIII, aber auch UHC. Trotzdem ist die Beobachtung ohne Filter am besten, da nur dann die inneren Strukturen zu sehen sind. Es zeigt sich ein langestreckter, diffuser, N-S verlaufender Nebel um einen Stern. Nebel im Norden heller als im Südeb. Blickweise schwer zeigt sich im Norden im Nebel eine Struktur, die aussieht wie ein Hut oder Kappe, im Süden ein schmalerer und schwächerer Bogen. Insgesamt ein forderndes Objekt, dass den 25 Zöller an seine Leistungsgrenze führt.

[[NGC 6326]]: Blaugrüner Stern bei 100 fach. Bei 670 fach immer noch sehr hell. Form zitronenförmig. Im Innern hellere Nebelschale nach Westen hin schwächer und nach Osten kaum vorhanden. Westlicher Ende heller. Östliches Ende diffus auslaufend. 

[[IC 4642]]: Außer einem runden strukturlosem Scheibchen ist nichts zu erkennen.

Das Seeing ist wieder mal eingebrochen. Es ist halb fünf und ich mache noch schnell ein Panorama mit dem Zodiakallicht. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34917400091/in/datetaken-public/" title="Northern Summer Milky Way and Zodical Light"><img src="https://c1.staticflickr.com/5/4227/34917400091_455d12e15f_h.jpg" alt="Northern Summer Milky Way and Zodical Light"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[<<Zurück zur vorherigen Nacht|25. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|27. Mai 2017 - Tivoli Astrofarm]]

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/yW6FfD" title="Untitled"><img src="https://live.staticflickr.com/65535/48045861571_b71751d141_h.jpg"></a>Gigantische Öffnung von 25 Zoll.</div>

Etwas Wind. Warm. Die ganze Nacht um +12° Celsius. Erstes Objekt ist ein Protoplanetarischer Nebel, auch als „Rotten Egg-Nebel“ bekannt.

''OH 231.8+4.2 - Rotten Egg Nebula'': Bei 670 fach zeigt sich ein fast stellarer Knoten neben einem gut erkennbaren Stern. Indirekt knapp nicht zu halten. Ähnlich schwächere Sterne sind deutlich punktförmiger und auch schärfer. Wunderbar direkt in der Nähe vom hellen planetarischen Nebel NGC 2440 gelegen.

Nachschau beim [[η Carinae - Homunculus]]: Auf der Nordseite werden heute bei über 1000 fach drei hellere Kanten sichtbar. Erinnert an einen Blumenkohl. Auch die nordwestliche Verbindung zu Eta Carinae wird diffus aber gut sichtbar. Wichtig auch: Der hellere Südteil zeigt Farbe! Gelb-Orange bei 670 fach. Ist mir bereits ein paar Mal aufgefallen.

[[NGC 2792]]: Runder, bis leicht ovaler Nebel. Gut sichtbar, da recht hell. Bei 670 fach als heller Ring sichtbar. Kante an manchen Stellen heller. Leider steht das Objekt am Untergangshimmel und Wolken machen sich breit.

[[Drilling 1]]: Bei 100 fach runder Glow um einen Stern. Bei 178 fach und OIII wird eine Fahne, deren Helligkeitsmaximum auf dem Rand liegt, erkennbar. Sonst, groß und diffus.

Im Zenit 22.0. Messung mit dem SQM-L. 

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[[NGC 5408]]: Es handelt sich hierbei um eine irreguläre Galaxie mit HII-Region am westlichen Ende. Bei 100 fach in der Überblicksvergrößerung kaum sichtbar. Bei 454 fach dann als feiner, zarte zigarrenförmige Galaxie mit Sternen am Rand, erkennbar. Am westlichen Ende sind insgesamt zwei stellare Aufhellungen zu erkennen. Reagieren gut auf UHC. Seeing 2-3.

Der Mond ist da. 1:00 Uhr. Matthias war noch mal da. Seeing ist um 0.5“. Hat Stress mit seiner Aufnahmeoptik. Ist jetzt aber repariert. Jupiter! Und ab ins Bett.

[[<<Zurück zur vorangegangenen Nacht|25. Mai 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|27. Mai 2019 - Tivoli Astrofarm]]

Klar mit hohen Schleierwolken. Für die Nacht sind Wolken angekündigt. Blöd. Die Nacht drauf soll es noch mal klar sein. Unklar, ob ich sie jetzt noch mal nutzen soll, also die darauf folgende Nacht.

20:30 Uhr. Heute klappt irgendwie alles. Bereits um diese Zeit ist alles fertig aufgebaut und das erste Objekt eingestellt: M42. Die Transparenz ist noch mal deutlich besser als gestern. Es ist extrem klar.

Dann IC 349 bei Merope. In der Nähe der richtigen Stelle vermutet, aber letztendlich gebe ich auf. Das Ding steht viel zu tief. Das Seeing ist aber gut.

!M97 - Eulennebel

Hell schon bei Übersichtsvergrößerung. Kann bis auf 231x vergrößert werden. Das ist auch aus meiner Sicht optimal, denn sonst wird der Nebel zu dunkel. UHC wirkt gut, OIII auch. Kann mich nicht entscheiden mit welchem ich tatsächlich besser beobachte. Innerhalb werden zwei unregelmäßige dunkle Stellen sichtbar, die aber mit Nebel gefüllt sind, zum Teil auch unregelmäßig. In der Mitte heller Balken, der die dunklen Stellen passiert und dann jeweils auf den gegenüberliegenden Seiten hellere Teilbalken wiederum ausbildet.

![[NGC 3631]]

Schöne, recht auffällige, Spiralgalaxie im großen Wagen. Kann bis auf 231x  vergrößert werden. Es zeigt sich ein Zentrum, dass hell, aber nicht stellar ist. Direkt am Zentrum ist der Ansatz eines Spiralarms direkt sichtbar. Alle anderen Details werden nach geduldiger Beobachtung sichtbar, da sind weitere Spiralarme mit Knoten versetzt. Insgesamt zeigt sich jedoch alles recht diffus.

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</a>Mit schwerem Gerät unterwegs 🤩</div>

!Arp 143 - Nachschau

Da heute die Bedingungen noch mal deutlich besser sind, mache ich noch mal eine kleine Nachschau. Tatsächlich können insgesamt sicher sieben Galaxien erkannt werden. Manche blitzen davon nur hin und wieder auf, aber ich halte dies für eine sichere Beobachtung.

Luftfeuchtigkeit steigt auf nahezu 90 %. Die Sachen werden langsam nass. Der Wind hat nachgelassen. Trotzdem mit circa 5 °C immer noch recht angenehm. Es riecht auch plötzlich direkt nach Wolke.

Es geht auf Mitternacht zu. Ich schiebe ein paar Schaustücke ein. Zum einen die Antennengalaxien, zum anderen die Sombrero-Galaxie. Während Erstere im Dunst quasi teilweise absaufen, ist Letztere sehr gut zu erkennen. Sie steht natürlich auch etwas höher und damit auch über dem Horizontdunst. Entgegen der Vorhersage ist es weiterhin absolut klar. Allerdings ist die Luftfeuchtigkeit mittlerweile sehr hoch. Hoffe nicht, dass das zur Wolkenbildung führen wird. Das wäre echt blöd.

![[NGC 4565 - Needle Galaxy|NGC 4565]]

Wahnsinn! In diesem Teleskop ist einfach alles Wahnsinn. 21 Zoll ist halt doch ein Unterschied zu 14. Die Galaxie wirkt recht hell und ist einfach sichtbar. Optimale Vergrößerung ist 231x. Im 9 mm 120° Okular passt sie bestens rein und nichts wird abgeschnitten. Einfach Bombe. Zusammen mit dem Komakorrektor sind auch alle Sterne bis zum Gesichtsfeldrand scharf. Sehr schöner Anblick. Nun zu den Details: Kern ist hell und klein, aber nicht punktförmig. Klein aber im Verhältnis zur Ausdehnung dieser gewaltigen Galaxie. Interessanterweise zeigen sich - außer ein paar vermutete Knoten - keine großartigen Strukturen. Es scheint zwar als wäre der Galaxienkörper irgendwie gemottelt, aber am Ende stellt sich das als Trugschluss heraus. Insgesamt Mega Anblick, da weiß man warum man ein großes Teleskop hat.

21.65 im Zenit. Der Himmel ist außergewöhnlich gut. Mal sehen ob wir die 21.7 erreichen oder gar noch höhere Werte. Die Nacht ist ja noch lang.

!Markariansche Kette

Uff. Auch dieses Ding fetzt voll. Alle Galaxien sind sehr hell. Es macht einfach Spaß, diese Kette mit dem Teleskop abzufahren. Absolutes Highlight! So, jetzt ruft die Arbeit wieder. Ich mache noch mal eine Nachschau von M97.

Ich bleibe aber tatsächlich in der Kette hängen. Auffällig und interessant scheint mir M90.

!M 90

Helle Galaxie mit sternartigen Zentrum. Zwei prominente Spiralarme sind sofort zu erkennen. Außerhalb wirkt die Galaxie sehr diffus und zeigt im Außenbereich kaum Strukturen. In der Nähe sind verschiedene linsenförmige Hintergrundgalaxien erkennbar. Insgesamt wirkt M90 sehr diffus, ist aber trotzdem ein lohnendes Objekt!

Jetzt doch wieder zurück zum Eulennebel. Geht aber nicht. Mittlerweile ist hier alles zugetaut. Mit einem Mal. Es herrscht praktisch Bodennebel. Sogar den Fangspiegel hat es erwischt, und der ist richtig massiv. Das war’s dann für heute. Aber war ne geniale Nacht! Es fehlt aber noch eine Stunde bis zur Dämmerung.

Habe den Fangspiegel mit zwei Batterien bestückt. Denn selbst das gibt es hier, eine Fangspiegelheizung. Und ich möchte schon zusammenpacken, da sehe ich schließlich, dass sie sogar funktioniert. Der Fangspiegel ist zum Teil wieder frei! 

Also geht es doch weiter! Um fünf ist aber Schluss. Mittlerweile ist die Luftfeuchtigkeit wieder sehr hoch.

Ich nehme noch mal die Nachschau von M97 auf. Die drei Sterne, die im Nebel zu sehen sein sollen, kann ich gerade so erkennen. Und es ist insgesamt sehr schwer. Überraschend schwer! Dies liegt vermutlich daran, dass die Durchsicht eingebrochen ist.

5:00 Uhr und ich bin durch. Nicht nur ich, sondern der Himmel auch. Mittlerweile sehr, sehr feucht und der Himmel lässt deutlich nach. 21.5 nur noch. Aber ich bin sehr zufrieden. Versuche das ganze noch mit der Kamera einzufangen, aber vergeblich, denn die Linse beschlägt sofort. Nix zu machen!

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Wind aus Süd. Ganz schwach. Seeing wieder super. Jupiter ist knackscharf. Später windstill. 21.48 - 21.7 am Ende der Nacht.

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Zunächst schaue ich mir M8 an. Hier befinden sich auch einige Beobachtungsobjekte auf meiner Liste.

*22:15 Uhr - ''Stundenglasnebel'': Kleiner Nebel mit Form einer Eieruhr. Direkt westlich hellerer Stern.

*22:25 Uhr - ''Barnard 89'': Kleiner Dunkelnebel inmitten von M8. Liegt östlich des eingebetteten Sterhaufens NGC 6530 und einem Stern 7. Grösse. Beste Sicht bei 114 fach. Dann wird ein kleiner schwarzer Dunkelnebel sichtbar, in dessen Mitte sich ein schwacher Stern befindet. Form rundlich mit schwer fassbaren Beulen und Ausfranzungen am Rand.

*22:45 Uhr - ''Barnard 88'': Nicht zu erkennen. Weder bei 114 noch bei 168 fach ist ein Dunkelnebel zu erkennen.

*22:55 Uhr - ''Barnard 85'': Dreiteilung im Trifidnebel. Bei 168 fach ist der Dunkelnebel vollkommen schwarz. Form einer etwa nord südlich ausgerichteten Schiffsschraube. Im Nebel selbst zwei Sterne zu erkennen.

*23:10 Uhr - ''Barnard 93'': Halbkreisförmiger kleiner Dunkelnebel am Rand von M24. Westlicher Teil ist zu etwa ein Drittel heller als der Rest. In der Mitte des gesamten Nebels ist ein Stern zu erkennen sowie ein weiterer viel schwächerer ungefähr westlich. Weitere ganz schwach Sterne in Randnähe. 21.48 Z

Gegenschein und Lichtbrücke sehr leicht erkennbar. M33 direkt sichtbar.

*23:25 Uhr - ''Barnard 307'': Direkt neben B93 liegt dieser rüsselförmige Dunkelnebel. Bei 168 fach ist dieser im Innern völlig schwarz und verläuft von etwa Nord nach Süd. Im Nebel selbst sind einige sehr schwache Sterne sichtbar.

*01:10 Uhr - ''Abell 49'': Sehr kleiner runder Abell. Liegt in der Nähe von M11. Bei 114 fach und OIII erscheint indirekt ein kleiner runder strukturloser Nebel. Dreiergruppe aus Sternen südlich nicht mit Nebel verwechselt. Bei 168 fach und OIII auch noch sichtbar, aber deutlich schwieriger. Es werden auch keine weiteren Details sichtbar. Überraschend einfach!

*02:35 Uhr - ''Abell 52'': Etwa so gross wie zuvor beobachteter Abell 49. Einen Tick schwieriger als dieser. Runder kleiner Nebel, der nicht ständig gehalten werden kann, aber immer wieder zuverlässig aufblitzt und dies auch wiederholt nach kurzer Beobachtungspause.

*03:10 Uhr - ''Abell 57'': Sehr kleiner Abell. Bei 114 fach und OIII kann er indirekt ständig gehalten werden. Bei 168 fach zeigen sich keine weiterwn Details auch keine Sterne sind im Nebelgebiet zu sehen. Nebel steht direkt neben einem recht hellen Stern.

*04:09 Uhr - ''Abell 75''=''NGC 7076'': Kleiner runder Nebel um einen Stern. Der Nebel wird winzig klein schon im Übersichtsokular bei 56 fach sichtbar. Bei 114 fach bzw. 168 fach zeigt eine kaum merkbare Helligkeitszunahme zum Zentrum hin. Keine Strukturen erkennbar. Nebel ist aber scharf abgegrenzt. Bei 300 fach wird neben dem ZS ein weiterer schwacher Stern im Nebelgebiet sichtbar. Nebel reagiert am Besten auf UHC nicht OIII. Im OIII verschwindet der ZS. Bester Anblick insgesamt aber ohne Filter. 

*04:25 Uhr - ''Abell 76''=''PGC 85185'': Winziger runder Nebel. Etwa 30" gross zeigt sich bei indirekter Beobachtung die Galaxie ohne Filter bei 114 fach. Mit OIII verschwindet sie. Bei 168 fach auch noch gerade so zu erkennen. Form rund bis leicht oval. Schwer zu erkennen.

*05:15 Uhr - ''Abell 79'': Relativ kleiner runder Nebel um einen sehr schwachen Stern. Bei 114 fach und OIII zeigt sich der Nebel sofort bei indirekter Beobachtung. Bei 168 fach erscheint dann schliesslich auch der ZS. 

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La Vidiera - Ein geschlossenes Hotel in der Nähe zum Beobachtungsplatz

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So sieht es an meinem Stammplatz aus. Mit Sommerreifen ist die Steigung hier hoch nicht zu bewältigen.

Immer noch keine Wolken. Seit gestern sollten sie schon da sein. Sind es aber nicht. Also wieder los. Am neuen Platz ist aber ein Camper. Hmmm. Wollte eh zum Pinar und schauen, ob die Auffahrt besser geworden ist. Ist sie. Reicht aber trotzdem nicht. Zum alten Platz ist wegen dem Camper keine Option. Also hoch auf die Passstraße. Aber: Es ist Wind angekündigt. Die Wetterstation auf dem Calar Alto zeigt aber nur sehr schwachen Wind an. Auf der Passstraße ist nach einigem Hin und Her der optimale Platz gefunden. Mit Blick auf den Berg Sagra. Wollte hier schon immer mal beobachten. Leider verhindert abseits der Straße der Firn den Aufbau des Teleskops. Also am Straßenrand aufgebaut. Nach Süden ragt das Teleskop ein gutes Stück auf die Straße. Wenn das man gut geht! Darf nachts keiner hier vorbei fahren. Tut es aber! Insgesamt drei Wagen. Muss dann immer das Teleskop drehen und zur Sicherheit mit der Kopflampe leuchten, damit keiner hier was umfährt. Klappt gut. Der erste ist übrigens ein Abschleppwagen mit einem Fahrzeug drauf. Abgeschleppt halt.

Der Platz ist eine Wohltat. Warm. +5° Celsius. Etwas Wind, aber trocken! Der Wind soll aber deutlich zunehmen. Leider. Von hier oben hat man einen Super Blick auf den Berg La Sagra. Der Blick reicht hier an guten Tagen bis zur Sierra Nevada. In dieser Richtung ist auch eine Ortschaft erkennbar, sowie ein Windpark. Stören aber nicht, sondern machen einem die Höhe von 1750m üNN nochmal deutlich. Endlich bin ich also über der Inversionsschicht. 1550m reichen offenbar nicht. Auch ein Experiment am Ende der Nacht wird das eindrucksvoll bestätigen. Es geht los.

__[[NGC 253 - Silver Dollar]]__: Besser als gestern. Himmelsabschnitt ist heute noch dunkler. Weitere Details kann ich erkennen. Die Zeichnung finalisiert.

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__[[HCG 22]]__: NGC 1199 ist sehr hell und oval. Bei 65 fach sehr auffällig. Bei Steigerung der Vergrößerung auf 168 fach tauchen dann zunächst NGC 1189 und drei weitere Galaxien, die ein kleines spitzes Dreick bilden, auf. Hellste des Trios ist NGC 1190, dann 1191 und - kaum zu glauben - 1190. Letztere ist länglich bis oval. NGC 1189 ist zigarrenförmig und hat bis auf alle anderen Galaxien kein sternartiges Zentrum.

Der Wind nimmt stetig zu. Er ist so stark, dass er das Teleskop bewegt. Zuvor wehte er nur in Böen mit ausreichend Pausen. Jetzt sind die Pausen weg. Mir gehen die Objekte aus. Und so stelle ich M1 ein.

''M1:''Bei 290 fach und OIII-Filter wird eine W-förmige Struktur sichtbar. Linke Seite deutlich heller. Nebel wirkt insgesamt gemottelt und recht hell.

M1 zu zeichnen scheint mir seit geraumer Zeit abwegig. Daher ich schaue mir das Zentrum von M42 an. 

__[[M42 - Zentrum]]__: Der Hexenkönig. Ja, das fällt mir ein. Genau, aus "Herr der Ringe". Ich beginne eine Zeichnung und zeichne ca. zwei Stunden. Dann ist es vollbracht. Die feinen zarten Strukturen lassen sich kaum auf das Papier bringen. Ich habe aber versucht mein Bestes zu geben.

Der Jupiter geht auf. Und die Zirren ziehen nicht mehr im Norden und Süden vorbei, sondern bedecken den gesamten Himmel. Seifiger Anblick. Einpacken gegen drei Uhr. Ich nehme nicht den direkten Weg zum Hotel, sondern fahre am gestrigen Platz vorbei. Der Camper steht noch. Und feucht und kalt ist es. Aber: Kein Wind. Windstille. Also doch - wie vermutet - in der Inversionsschicht. Was 200m Höhenunterschied ausmachen können.

[[<<Zurück zur vorangegangenen Nacht|26. Dezember 2016 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht>>|29. Dezember 2016 - Pinar de Araceli]]

Wieder hier. Super! Bin gegen drei Uhr nachmittags in La Matea. Ich kenne mich aus und so verliere ich kaum Zeit. Gegen 18 Uhr ist Sonnenuntergang. Den möchte ich sehen. Ein Nickerchen ist also nicht mehr drin. Es ist fast Sommer. Temperaturen sind um die 20 °C Und das auch über 1000 m üNN. 

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!Es geht los...

Wahnsinn! Coool. Außer einem [[Intermezzo im letzten Herbst|Wasserkuppe im Herbst 2019]] auf der Wasserkuppe habe ich seit Mai in Namibia nicht beobachtet. Im Sommer gab es aufgrund einer Urlaubssperre nix außer Arbeit. 

Vorhersage ist Super. Kein Wind. Seeing um 0.5“ ist vorhergesagt. Gestern Nacht wurden Seeing Werte am Calar Alto um 0.8“ gemessen. Das ist schon mal gut. M33 hat heute erst mal keine Priorität. Trotzdem werde ich anfangen mit dem Projekt „M33“. Eine Skizze mit gepausten Sternen bis zur Grenzgröße von 15 mag habe ich bereits angefertigt und soll mir helfen die Orientierung beim Zeichnen zu behalten. Zunächst ist geplant das Sternfeld mit den Sternen zu verifizieren. Anschließend das Objekt zu zeichnen. Und das über mehrere Nächte. Vier bis fünf Stunden kann man das M33 im Moment sinnvoll beobachten. Bis nach Mitternacht also.

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3qE1o3" title="All Sky Pinar de Araceli"><img src="https://live.staticflickr.com/65535/49326471882_0dbe33ae9b_h.jpg" alt="All Sky Pinar de Araceli"></a>Der Himmel über der Sierra de Segura ist sehr dunkel wenn die Transparenz gut ist.</div>

!Der Beobachtungsplatz befindet sich in idealem Zustand

Auf dem Weg zum Dorf muss ich die Sierra de Segura praktisch zur Hälfte passieren. Und so komme ich am Pinar de Araceli vorbei. Ich fahre kurz zum Beobachtungsplatz, um den Boden zu prüfen. Hoffe dass die Restfeuchte weg ist, denn mit Schlamm geht nix. Der Weg ist aber fest. 
Wind ist praktisch keiner vorhergesagt. Max. 15 km/h, was im Hochgebirge ein Witz ist. Aber hier eigentlich normal.

Nach dem Mittagessen noch ein Nickerchen und schon geht es gegen 17:00 Uhr los. Treffe pünktlich vor Sonnenuntergang ein. Habe den Platz heute Mittag auf der Durchreise bereits angesteuert. Bis auf eine schlammige Stelle ist der Weg praktisch perfekt. Es hat wohl sehr intensiv geregnet, denn große Wasserlachen sehe ich hin und wieder. Am Platz ist der Boden perfekt. Nichts staubt. So wie in Deutschland. Heute Mittag gab es hier 17 Grad Celsius. Und das auf 1740m. Der Wind kommt wie vorhergesagt aus NE. Ein leichter kaum spürbarer, kalter Zug aus NE.

Die Ziegen begrüßen mich als ich die Anhöhe erklimme. Wunderbar! 

!!Fotoausrüstung aufbauen

Bevor ich beginne wird die Fotoausrüstung auf dem Stativ aufgebaut. Dann auf den Polarstern ausrichten. Und fertig. Habe vor ein Panorama des Nachthimmel anzufertigen. Ggf. auch ein Timelapse. Da muss alles passen.

!!Genießen...bevor es mit der Beobachtung losgeht

Genießen ist wichtig. Schön das es so gute und transparente Nächte gibt und ICH heute hier sein darf, um diese zu genießen. Sind leider meilenweit von Bedingungen in Deutschland entfernt.

Es wird dunkel. Temperaturen gehen schnell zurück. Sitze aber beim Schreiben dieser Zeilen immer noch im Pullover und Jeans. Abziehende Zirrusbewölkung. Ab morgen dann super transparent. 

!!Seeing ist sehr gut

Wie vorhergesagt. Zunächst möchte ich aber zwei Objekte anschauen. NGC 1535 - „Kleopatras Auge“ und NGC 2392 - „Eskimonebel“. Beschreibungen der Nebel aus letztem Jahr gibt es __[[hier|01. Januar 2019 - Muela de San Juan]]__.

Doch zunächst ziehen hohe Zirren durch. Das wird heute noch nix. Egal, denn das habe ich fast befürchtet. Die erste Messung des SQM-L ist eine 21.55. Später pendeln die Werte nur um 21.4. Aber: Im Vergleich zur Wasserkuppe ist der Himmel trotzdem augenscheinlich „dunkler“. So richtig erklären kann ich es nicht. Ist aber so. Vielleicht helfen ja die Referenzaufnahmen mit dem Fisheye. Denn die haben immer die gleichen Kameraeinstellungen. 

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Die Venus geht unter. Der Mond war in der Dämmerung auch schon zu sehen. Die nächsten Tage wird er mir so richtig auf den Zeiger gehen. Aber jetzt erst mal gucken. Gegen 20:30 Uhr klart es zunehmend auf. Das SQM-L mault noch: 21.45. Aber die Wolken verziehen sich langsam.

[[IC 2149]]: Bei 65 fach schon „verdächtiges“ Glimmen um einen Stern 11. Größe. Bei 430 fach schon länglich. Bei 800 fach sehr klar. Heller Stern im Zentrum eines bipolaren, hellen Nebel. Stern liegt mittig auf einer hellen „Achse“ an dessen Ende sich sternartige Knoten befinden. Fast Ost-Westlich ausgerichtet. Am westlichen Ende gehen Auswürfe ab, die parallel, gebogen zur Achse laufen und dem Nebel an dieser Stelle eiförmig aussehen lassen. Laufen diffus östlich aus. Am östlichen Ende gibt es so was nicht. Das Ganze ist in einen diffusen Halo eingebettet. Das sehr gute Seeing erlaubt auch eine Reihe sehr schwacher Feldsterne, um die 15. Größenklasse, zu erkennen. Seeing 1. Beobachtung ohne Filter.

Das SQM-L klettert wieder auf 21.57. Der Himmel wird wieder dunkler auch wenn die Lichtglocken am Horizont das Geschehen (erschreckend für mich) dominieren. Ich sitze immer noch in leichter Winterjacke hier, wenn auch mit Daunenhose und Moonboots. Es ist absolut windstill. Ich höre sogar das Rauschen in meinen Ohren. Erschrecke manchmal selbst über Geräusche, die ich selber mache. Ab und zu ist das Gekreische eines Vogels zu hören. Hat wohl was erbeutet. Hin und wieder auch die Glocken der Ziegen. Das Bellen eines Hundes hat mich etwas nervös gemacht. Es war allerdings weit weg, zumindest soweit weg, dass es mich nicht beunruhigt. Verrückt was mache ich eigentlich hier?

[[NGC 1535 - Kleopatras Auge]]: Wahnsinn! Bei 65 fach schon als Nebelball zu erkennen. Bei 800 fach groß und hell. In der Mitte steht ein heller ZS, der von einer ovalen, hellen und gut definierten Schale umgeben ist. Diese ist im Osten dunkler. Nordwestlich sitzt auf dem die helle Schale umgebenen Halo ein schwacher Stern. Dieser kann bei gutem Seeing problemlos direkt gehalten werden. In Momenten sehr guten Seeings zeigen sich nördlich und südlich jeweils zwei Knoten, wobei die nördlichen etwas heller zu sein scheinen. Dann zeigen sich auch zwei „Speichen“, die die Knoten durchs Zentrum gehend verbinden. Diese können nur indirekt und blickweise bei perfektem Seeing wahrgenommen werden. Die von SW nach NO verlaufende scheint etwas leichter beobachtbar zu sein. Westlich zwischen heller Schale und ZS scheint das Innere etwas dunkler zu sein. Halo scheint strukturiert, was sich aber nicht nachvollziehen lässt. Auf jeden Fall ist dieser gut begrenzt. Mega! Seeing 1-2.

Es hat sehr gut aufgeklart. Das SQM-L meldet 21.58 über Polaris. Bin schon gespannt auf die Aufnahmen, denn ich habe das Ganze auch durch kurze Aufnahmen mit der Kamera dokumentiert. Wir steuern auf Mitternacht zu. 

Das Seeing bleibt der Hammer.

[[NGC 2392 - Eskimonebel]]: Ähnlich groß wie NGC 1535 und ähnlich hell. ZS deutlich dunklerer. Helle innere Nebelschale auch. Viel feiner und schärfer und auch dunklerer. Symmetrisch sind die längeren Seite heller, wie auch der „Querbalken“. Gegenüberliegend ist die Brücke als Detail dauerhaft für mehrere Sekunden indirekt zu halten und man kann zwischen ihr und dem V-förmigen Ende eindeutig und klar den „Zwischenraum“ erkennen. Es scheint sogar, als sei die Brücke etwas „schief“. Wahnsinn! Die innere Nebelschale scheint auch bläulich zu sein. Das irritiert mich, denn sie ist definitiv dunkler als bei NGC 1535. Dieser zeigte aber mitnichten Farbe. Der Halo oder die „Krempe“ ähnlich hell wie die von NGC 1535. An einem Ende mit eingebettetem diffusen, helleren Balken. Wunderbar. Seeing 1+.

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/269234"><img src="https://live.staticflickr.com/65535/49286859531_22b30fe587_h.jpg"></a>Seeingaufzeichnung des CAHA auf dem Calar Alto.</div>

Nur eines gibt es zu NGC 2392 zu ergänzen. „Die Brücke“ konnte ich letztes Jahr nicht sehen. Heute aber eindeutig. Die Rohzeichnungen liegen ja in meinem Büchlein bereits vor. So muss ich lediglich Details ergänzen bzw. Kommentare hinzufügen. Eine neue Zeichnung „vom Scratch“ ist nicht notwendig. Das spart Zeit und ist sehr effektiv.

Mittlerweile geht das SQM-L bereits auf 21.6. Aber die All Sky Aufnahmen und das bloße Auge sagen mir, der Himmel ist nicht gut. Das Seeing Top. Aber was soll‘s. Ich sehe mich schon mal ein wenig bei M33 ein. Wo sind die hellsten Strukturen, was kann man sehen...sowas halt. Die Aufnahmen mit der nachgeführten Kamera funktionieren auch astrein. Sind allerdings nur Probeaufnahmen.

Das wird heute nix mehr. Ich denke schon daran einzupacken denn morgen soll ja alles besser werden. Interessant ist, dass trotz gutem Seeing die Sterne leicht flackern. 60% Luftfeuchte und +4.7 °C.

So schön war es wieder hier zu sein. Morgen hoffentlich mit besserer Transparenz. Kann mich doch nochmal aufraffen.

''C/2017 T2 (PANSTARS)'': Bei 65 fach kleiner Nebelball mit kurzem Schweif. Bei 178 fach sternartiges Zentrum mit schwächerer Koma und - wie gesagt - kurzem Schweif.    

Mindestens eine Nacht möchte ich durchziehen. Heute aber noch nicht. So packe ich gegen vier Uhr morgens ein. Trotzdem bin ich erst um fünf Uhr morgens im Bett. Etwas erschrocken war ich in der ersten Nachthälfte wegen des starken Flugbetriebs. Bis Mitternacht mindestens waren Flieger unterwegs. Erst ab ein Uhr war Ruhe am Himmel.

M33 ist jetzt dran. Etwas „einsehen“. Im Viewfinder ist M33 direkt zu erkennen. Ich schaue ein wenig. Nix besonderes.

Im Hostal checke ich nochmal die Seite des CAHA. Auf dem Calar Alto war das Seeing mit 1“ Ok, aber nicht spektakulär. Komisch. Der Calar Alto ist 100 km Luftlinie entfernt. Ich würde schwören, dass das Seeing stellenweise um 0.4“ war, also das was man quasi als Optimum überhaupt haben kann (auf dem Roque de los Muchachos wurde einmal 0.25“ als niedrigster Werte überhaupt gemessen).

[[<<Zurück zum Artikel|Weihnachten 2019]] | [[Weiter zur nächsten Nacht >>|28. Dezember 2019 - Pinar de Araceli]] 

Am Samstag ist es noch bewölkt. Dann endlich klart es am Sonntag auf. Und ich habe zum Glück zwei Tage Urlaub. Die nächsten beiden Nächte kann ich also so richtig „suchten“. 

In Frankfurt geht es am Sonntag Nachmittag los. Zunächst geht es in Richtung Hotel. Ich bin in Birx, im [[Flechsenberger Hof|https://www.flechsenberger-hof.de/]]. Dort hole ich dann den Schlüssel ab. Anschließend geht es zum Beobachtungsplatz. 

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Mittlerweile habe ich den 21 Zöller. Das ist natürlich schon ein großes Gerät und deshalb benötige ich ein großes Auto. Aber das Thema Carsharing, was mich mittlerweile seit 16 Jahren begleitet, ist ein echter Vorteil, denn ich kann einfach die Autos mieten, die ich tatsächlich auch benötige. Und wenn die nunmehr jetzt größer sind, geht das natürlich auch.

Wobei richtig wohl ist mir bei der ganzen Sache nicht. Seit ein paar Tagen herrscht Krieg in der Ukraine und irgendwie denke ich, das ist irgendwie falsch hier zu sein.

Ich bin schließlich am Beobachtungsplatz deutlich vor Sonnenuntergang. Die Bedingungen sind gut, der Himmel klar. Luftfeuchtigkeit scheint auch niedrig zu sein.

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/J1Nu83" title="Untitled"><img src="https://live.staticflickr.com/65535/51912258444_9fbd9e6cb1_k.jpg"></a>Der Dicke und ich 😗</div>

!Second Light - M42

Ja, das First Light kann ich ja nicht mehr haben. Das hatte der Vorbesitzer. Aber mir bleibt der Second Light. Ich habe nichts geplant, denn ich weiß, dass das spontan entschieden werden muss. Und es wird tatsächlich: M42 oder der Orionnebel. 

Hammer! Bei 20mm wird der Orionnebel total kontrastreich sichtbar. Bin sehr zufrieden. Mathias bemerkt, dass Leute offenbar zu uns unterwegs sind. Kann nicht sein, denke ich. Stimmt aber. Schließlich tauchen zwei Personen auf und wir kommen kurz ins Gespräch. Sie fotografieren. Den Sternenhimmel. ich lasse sie kurz durch schauen, und die beiden sind auch begeistert. 

Sie verschwinden wieder und kündigen sich für den Rückweg schon mal vorsichtshalber an. Wir machen weiter. Mittlerweile sind es schon -1 °C. Die Luftfeuchtigkeit ist mit 70 % sehr angenehm. Der Wind legt zwar weiter zu und nervt richtig, aber es ist gerade so an der Grenze. Ich mache weiter mit dem „Running Man“ - Nebel aka NGC 1975. Dann der Flammennebel aka NGC 2042. Schließlich IC 59 & 63. Alle sehen hervorragend im Teleskop aus.

Es geht weiter zu M81 & M82. Kann mich kaum satt sehen. Insbesondere M82 ist der Hammer. Bei 370x werden in Zentrumsnähe und abseits davon feine sternartige Knoten sichtbar.

Der Wind legt weiter zu. Mittlerweile nur noch -4 °C. Himmel ist sehr gut, denn die ganze Nacht über werden konstant 21.6 angezeigt. Das ist eine sehr gute Nacht! 

Ich mache mich weiter auf zu M97 aka dem Eulennebel. Er sieht wunderbar aus und so steigern wir die Vergrößerung und können uns kaum satt sehen. Schließlich scheint mir die Vergrößerung von 220x am gewinnenbringsten  zu sein, insbesondere mit dem UHC-Filter. Dann ziehen wir weiter zur M108. Auch hier sind Strukturen gut erkennbar, aber der Wind verhindert die weitere Beobachtung. 

!Leo-Triplet

Es geht weiter zum berühmten Galaxien-Triplett. Ich schaue ich mir den Gezeitenschweif von NGC 3628 an und glaube ihn erkennen zu können. Vergrößerung ist 100x bei 5mm AP. Ich ziehe weiter zu M51. Diese Galaxie hat es mir heute Nacht angetan. Ich werde immer wieder nach der Beobachtung von anderen Objekten zu ihr zurückkehren.

Schon in der Übersichtsvergrößerung zeigen sich sehr klar und deutlich die Spiralarme. Ähnlich gut wie vor einem Monat auf La Palma, wenn nicht sogar besser. Und da habe ich mit 25 Zoll beobachtet. Der Kontrast ist auf jeden Fall heute deutlich besser. Die Galaxie kann bis auf 370x vergrößert werden, dann passt sie kaum noch ins Gesichtsfeld.

Mathias schlägt die Sombrero Galaxie vor. Und es haut uns von den Socken! Er beobachtet heute mit 10 Zoll, ich mit 21.
Kurz nach Mitternacht muss er schließlich aufbrechen. Die Arbeit ruft. Ich habe zum Glück morgen und übermorgen kurzfristig Urlaub genommen. 

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!Binobeobachtungen

Ich versuche meinen in die Jahre gekommen den Binoansatz zu reaktivieren. Ich weiß von Andreas, dem Vorbesitzer, dass er häufig damit beobachtet hat. Ich habe ein Zeiss-Großfeldbino, dass mittlerweile über 20 Jahre alt sein muss. Dazu bestücke ich es mit 24 mm Panoptik Okularen. Und es haut mich von den Socken!

Erstes Objekt ist M13! Mega! Deutlich besser als mono! Dann wieder zurück zu M51. Auch hier ungläubliches Staunen meinerseits. Dann M57, der Ringnebel. uff. Zurück zur Sombrerogalaxie! Abartig. Das Bino hat mir die Augen geöffnet. 

Es geht wieder zurück zur einäugige  Beobachtung. Der Wind hat zum Glück abgeflaut. Das war sogar vorhergesagt worden. Kann jetzt sogar die Streulichtblende am Hut montieren, denn jetzt besteht nicht die Gefahr, dass sie wegfliegt. 

!M106 & NGC 4217

Es folgen M106 und sein Begleiter. Als Rausschmeisser fungiert M3. Dann setzt bereits die Dämmerung ein. Ich brauche ungefähr eine Dreiviertelstunde um alles zu verstauen. Dann wird es schon hell und die Venus ist bereits aufgegangen. Das war die erste Nacht mit meinem neuen Gerät. Und sie war gut!

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Heute wieder auf dem Roque. Auf der "Halde". Bin heute frühzeitig da, um mir den Platz zu sichern. Bis ich die perfekt ebene Stelle finde, dauert es ein bisschen. Dann ist es geschafft. Als es bereits dämmert, fährt der Truck von Athos.org vorbei. Dann kommt ein weiterer Wagen. Fahrer will hier auch aufbauen. Es ist der Beobachter von vor zwei Tagen. Gerne! Wir quatschen und stellen fest, dass der Himmel heute seifig ist. 21.6 meldet das SQM-L. Das geht aber besser. Dafür ist es windstill und das Seeing Top. 0.4 arcsec meldet das TNG. 

Mein Mitbeobachter gratuliert mir zur letzten Roque Nacht. Er habe die Webseiten gecheckt und das NOT tatsächlich 0.2 arcsec als Seeing ausgewiesen. Bei einer Führung im GTC wäre dies auch als TOP Wert für den Roque angegeben worden.

[[Sh2-176]]: Bei 65 fach und OIII wird ein schwacher Bogen zwischen einem hellen Stern und eines gleich hellen Sternpaars sichtbar. An dieser Stelle befinden sich nur einige wenige schwache Sterne, so dass der Nebelbogen sicher beobachtet werden kann und nicht durch helle Sterne vorgetäuscht wird. Vom restlichen Nebelgebiet kann leider nicht erkannt werden, insbesondere deshalb nicht, da im reichen Sternfeld an der entsprechenden Position viele helle Sterne die Beobachtung stören und einen nebligen Hintergrund vortäuschen.

''M74'': Diffuse recht große Galaxie, die aussieht wie M33 im Miniformat. Direkt neben dem hellen Zentrum zeigt sich ein Vordergrundstern. Weitere Sterne im Galaxienkörper schwach sichtbar. Bei geduldiger Beobachtungen zeigen sich abseits des Zentrums verschiedene Knoten, insbesondere bei höherer Vergrößerung von 290 fach. Bei 168 fach und geringer Vergrößerung kommen nach geduldiger Beobachtung schließlich Ansätze von Spiralarmen zum Vorschein, auf denen die helleren Knoten liegen. 

Mitbeobachter schaut mit dem Feldstecher. Jetzt beobachtet er mit meinem 14 Zöller den Orionnebel und ist begeistert. Ich überlasse ihn immer kurzzeitig wieder das Gerät.

[[M1-Krebsnebel]]: Ovale Grundform. Mit OIII-Filter werden Spinnen netzartige Strukturen im Nebel erkennbar. Der Nebel ist durchsetzt mit schwachen Sternen. Die Strukturen sind leider zu komplex, um sie zu beschreiben.

[[IC 3568]]: Bei circa 800 fach zeigt sich ein winziger kleiner Ring in dessen Mitte ein schwacher Stern steht. Im direkten Vergleich mit dem außerhalb des Nebels befindlichen schwachen Stern zeigt sich dieser etwa genauso hell. Ist aber aufgrund des Nebels und seiner Helligkeit schwieriger auszumachen. Der Ring selbst ist hell und ihn umgibt ein schwacher Halo.

Wir quatschen viel und über die Insel, den Roque die Bedingungen. Es ist einfach wunderbar.

NGC 2392 - Eskimo Nebel: Bei fast perfektem Seeing wird die Brücke ohne Probleme eindeutig sichtbar und kann praktisch direkt durchgehend erkannt und gehalten werden. Der Nebel wirkt aufgrund des perfekten Seeing so klar und die Strukturen sind ohne Probleme sichtbar.

''NGC 4490-Cocoon Galaxie'': Sehr schönes Paar interagierender Galaxien. Es zeigt sich ein langer integralförmiger Galaxienkörper, in dessen Mitte ein heller, ovaler, leicht verdreht wirkender Kernbereich zu erkennen ist. Es sind abseits des Zentrums, sowie in den Armen Knoten zu erkennen. Etwas abseits steht die linsenförmige Galaxie NGC 4485, die außerhalb des Galaxienkörpers Knoten und "Auswürfe" zeigt. Die schwachen PGC's in ihrer Nähe sind nicht zu erkennen. 

Mein Mitbeobachter macht sich auf den Weg. Wir verabschieden uns und vielleicht sehen wir uns ja bald wieder, denn wir stellen zu unserer beider Überraschung fest, dass wir demnächst zur selben Zeit wieder hier sind.

''M 94'': Sehr hell, mit sternförmigen Zentrum. Kann bis zu 290 fach vergrößert werden und zeigt um das helle Zentrum einen ovalen Ring. Von diesem gehen zwei Spiralarme raus, die aber nicht über die gesamte Strecke verfolgt werden können, aber zu den Enden diffus heller werden. Der Zentrumsbereich lässt sich am besten bei 420 fach beobachten. Dann zeigt sich neben dem hellen Zentrum im ovalen Ring ein heller Knoten. Nördlich wirkt der Ring dreieckig und diffuser aus. Bei 65 fach zeigt sich dann in einiger Entfernung von Galaxien Körper zwei symmetrisch gegenüberliegende ganz schwache Bögen. Auf einer Seite besser zu sehen, da keine Sterne stören. Gegenüberliegende Seite etwas schwieriger, da relativ heller Feldstern und störende Sternengruppe.

5:30 Uhr SQL 21.94 im Mittel im Zenit. Der Himmel ist über die Nacht hinweg wieder gut geworden. 

Zum Schluss gibt es Jupiter.

''Jupiter'': Das Seeing ist weiterhin exzellent. So kann ich Jupiter bis auf 420 fach vergrößern und er dankt es mit vielen Details. Der große rote Fleck ist zu sehen, sowie die klassischen Wolkenbänder in grau mit haarfeinen Linien. Leider verhindert der leicht böige Wind, der gerade aufgekommen ist, die weitere Beobachtung und selbst als ich das Teleskop hinter dem Auto direkt verstecke, hat der Wind kein Erbarmen. 

Am Ende erinnere ich mich an das Phänomen der auf dem Horizont liegenden Milchstraße und erkenne von den Zwillingen herüber die Milchstraße tatsächlich auf dem Horizont liegend. Die Sommermilchstraße ist bereits deutlich zu sehen, während die Wintermilchstraße noch zu erahnen ist. Beeindruckend ist das Morgenzodiakallicht, was die hellen Milchstraßenwolken im Schützen kreuzt.

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Wunderbare Nacht mit perfektem Seeing und windstill, bis auf die letzte Stunde. Aber so kleinlich will ich nicht sein :)

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Bin endlich geistig angekommen. Heute hat es endlich auch mit der Erholung geklappt. Habe in zwei Etappen über sieben Stunden geschlafen. Es ist aktuell recht windig. Die Vorhersage ist nicht besonders gut. Nachts sollen Wolken durchziehen. Und das die ganze Nacht. Transparenz ist gut, wenn auch nicht sehr gut. 

![[NGC 2467]]

Was für ein Verwirrspiel. Bereits auf La Palma beobachtet, aber dann leider verwechselt mit NGC 2452. Der steht natürlich in der Nähe, ist aber viel kleiner. Aufgrund der fehlenden Beschriftung der Zeichnung, konnte ich natürlich nicht mehr zuordnen, um welches Objekt es sich tatsächlich handelt. Das hat sich jetzt aufgeklärt, denn ich habe aus Versehen, nachdem ich 2452 drin hatte und direkt gesehen habe, dass der Nebel viel zu klein ist - für die bereits im Januar erstellte Zeichnung - und so treffe ich unweit per Zufall auf 2467. Ich erkenne sofort, dass es sich um das bereits beobachtete Objekt handelt. Mega Verwirrend! Aber auch Mega schön.

<<<.tc-big-quote

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Jeden Tag ein Airglow-Spektakel. Im Süden am frühen Abend immer rot. In den frühen Morgenstunden dann grün. Der Himmel zeigt sich dann in diesen Regionen zum Teil stark aufgehellt, ähnlich wie bei schlechter Transparenz. Leider lassen sich diese Zustände, d.h. Airglow und schlechte Transparenz, visuell nicht unterscheiden.

<<<

Das Seeing ist gut. Daher geht es weiter mit Planetarischen Nebeln.

!He 3-404

Das Sternenfeld halbwegs identifiziert, dann ziehen allerdings Wolken durch. Wahrscheinlich gibt es morgen eine neue Möglichkeit. Zunächst nur vereinzelt Wolken, jetzt sind sie tatsächlich sehr störend, denn sie bedecken quasi den gesamten Himmel. Dennoch schöner Anblick, den wir als Europäer gar nicht gewohnt sind, denn die Wolken sind deutlich, deutlich dunkler als der Nachthimmel.

Nur der Nordhimmel bleibt verschont, zumindest im Moment. Ich stelle schnell M3 ein. Anschließend schlägt Mathias NGC 4565 vor. Die Galaxie sieht prächtig aus! Allerdings können wir uns nicht lange satt sehen, denn dann wird das Bild plötzlich dunkler. Die ersten nachrückenden Wolken haben das Objekt erreicht.

Circa eineinhalb Stunden machen wir Pause, bis das Wolkenfeld durchgezogen ist. In der Hütte haben wir es auch schön warm und gemütlich.

!NGC 3603

Ist ein Vorschlag von Mathias. Habe ich tatsächlich 2015 das erste Mal beobachtet, aber noch keine Zeichnung gemacht. Probiere UHC und OIII-Filter. Am besten gefällt mir am Ende der OIII. Im Kern zeigt sich in einem reichen Sternfeld ein Nebel, an dessen Rand ein interessanter Offener Sternhaufen eingebettet ist. Dieser ist recht kompakt, lässt sich aber bis ins Zentrum gut auflösen. Der Nebel zeigt sich insgesamt sehr strukturiert, wichtigstes und markantestes Details ist ein dreiteiliges Dunkelband, dass den Nebel im nordöstlichen Teil aussehen lässt wie den berühmten Trifid-Nebel. Weiterhin zeigen sich einige Nebelwölkchen im Außenbereich, trotzdem ist der Nebel recht gut begrenzt. Optimale Vergrößerung liegt bei 278x.

![[NGC 3576]]

Liegt direkt neben 3603 und ist viel ausgedehnter als dieser und auch viel heller. Mit Filter werden tatsächlich ganz feine Linien innerhalb des Nebelgebietes beziehungsweise Fetzen sichtbar. Einfach traumhaft. Mit dem Filter muss ich mich allerdings noch mal korrigieren. Eigentlich hilft er kaum, wie ich im Anschluss feststelle, aber er unterdrückt auch nichts. Im Kern ist es so, dass man ohne Filter alles genauso gut erkennen kann und ihn deshalb eigentlich auch nicht braucht. Das gilt auch für NGC 3603.

Ein kurzer Blick auf Saturn offenbart, dass das Seeing nicht schlecht ist. Allerdings steht er noch zu tief, um ihn gut beobachten zu können. Denn er springt ein wenig um seine eigene Position.

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Das SQM-L springt auch hin und her. Beste Werte sind um 21.67. Aber es werden auch Werte um 21.5 angezeigt. Das liegt wohl daran, dass hier wohl noch einige dünne Wolken durchziehen.

Als nächstes ein neuer Versuch von NGC 6567. Allerdings lässt sich das Objekt im Zenit kaum nachführen. Schon das Aufsuchen wird schwierig. Deswegen muss einfach abgewartet werden. In der Zwischenzeit besuche ich die Region um Antares. Ziel sind die Dunkelschläuche. Diese sind im Feldstecher sehr gut erkennbar. Man kann sie bereits mit bloßem Auge sehen. Dann geht es weiter zum Pfeifennebel. Dieser zeigt sich sehr kontrastreich. Inneres komplett schwarz. Viel dunkler als die Nebelschläuche um Antares. Dann weiter zu Barnard 142 und 143. Im Feldstecher komplett schwarz. Im 25 Zöller bei AP 6.5 mm ebenfalls sehr kontrastreich. Einfach wunderbar anzuschauen. 

!He 3-1379 - „Freid Egg“

In ~SkySafari leider nicht enthalten. Daher mit Aladin Karte positioniert. An der zweifelsfrei richtigen Position ist südlich eines Sterndreiecks ein recht schwacher Stern erkennbar, der offenbar einen Hof hat. Er reagiert nicht auf OIII-Filter. Sonst keine weiteren Details.

!NGC 6567

Noch mal versucht, aufgrund des guten bis sehr guten Seeings. Bei circa 900x kann insgesamt 5-6 mal der Zentralstern erkannt werden. In diesem Zuge zeigt sich auch eine innere Nebelschale. 

!Jupiter mit Transit von Europa  

+2 °C und 90 % Luftfeuchtigkeit. Als Belohnung gibt es Jupiter. Bei 454x zeigt sich Jupiter sehr strukturreich, obwohl Momente perfekten Seeings selten sind. Trotzdem lässt sich auf Anhieb ein Schattentransit beobachten, wobei der Schatten direkt neben dem großen roten Fleck steht. Sehr schön!

!Saturn & [[Saturnnebel|NGC 7009 - Saturnnebel]]

Als Nächstes wird Saturn eingestellt. Er steht im Zenit und zeigt sich extrem hell. Blickweise ist die Encke-Teilung heute zu erkennen, wenngleich nur für ein paar Momente. Anschließend geht es direkt zum Saturnnebel weiter. Interessanterweise stehen sie im Moment nah beieinander. Bei 670x zeigt sich eine lang gezogene innere Nebelschale, die von einer 90° versetzten geschnitten wird. Man muss allerdings auf über 900x vergrößern, um tatsächlich alle Einzelheiten erkennen zu können, wie hellere Teilsegmente der Schalen etc. Trotz der hohen Vergrößerung habe ich manchmal den Eindruck, dass weiterhin ein grünlicher Schimmer vom Nebel ausgeht.

![[NGC 1365]]

Sieht im Verhältnis zu den anderen Galaxien nicht besonderst spektakulär aus. Aber nur auf den ersten Blick nicht. Es zeigen sich zwei messerscharfe Spiralarme und ein helles S-förmiges Zentrum. 

Ich bin durch. Für heute. Leider haben wir gestern die Mondsichel verpasst, die sich neben die aufgehenden Plejaden gesellt hatte. Jetzt geht es direkt auf den Neumond zu. Ab heute stört der Mond nicht mehr. Auf den Sachen hat sich übrigens wieder ein kleiner Eispanzer gebildet. Die 0 °C sind also doch erreicht worden und die Luftfeuchte ist schon seit einigen Stunden bei über 90 %. Die Vorhersage meint für heute, dass der Taupunkt bereits um 22:00 Uhr erreicht werden wird. Sehr ungewöhnlich für Namibia um diese Jahreszeit. Mal sehen ob es so kommt.

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Heute war der Sundowner.

''LMC'': Wieder geht es in die LMC. Ausgangspunkt ist Theta Doradus. Direkt in seiner Nachbarschaft findet man die OS NGC 1873 und 1871. Es handelt sich dabei um lockere unregelmäßige OS mit jeweils einem hellem Stern im Außenbereich. Etwa ein bis zwei Dutzend Sterne sind zu erkennen. Unweit davon findet man den OS NGC 1864, der winzig ist und nur wenige schwache Sterne enthält. Weiter geht es zu NGC 1906 & 1897, zwei sehr kleine unscheinbare OS mit ebenfalls augenscheinlich sehr wenigen Sternen. Dann treffe ich auf drei helle diffuse Nebel, die zu einem gleichseitigen Dreieck angeordnet sind. Leider sind die in ~SkySafari offenbar nicht enthalten, so dass sich über ihre Natur nur spekulieren lässt,

Es ist mit +5 Grad Celsius recht frisch. Der Wind weht aus Süd bis Südost. Am Anfang kräftig, jetzt kaum noch. Das SQM-L misst 21.76. In der Nähe von Eta Arae befindet sich die Galaxie NGC 6221.

[[NGC 6221]]: Recht große, ovale Galaxie mit sternartigem Zentrum. Schon bei 100 fach sind direkt zwei Spiralarme erkennbar. Zentrum oval und etwas länglich, kurzer Balken. Nach Westen abgehender Spiralarm, der mit zahlreichen Knoten / Vordergrundsternen versetzt ist und an dessen hellem Ende eine Gruppe aus 3-4 Sternen steht. Der Arm geht dann diffuser weiter und scheint sich wieder mit dem Zentrum vereinen zu wollen. Dies erzeugt beim Beobachter den Eindruck, eine "Blase" zu sehen, denn dort trifft und vereint er sich mit einem weiteren kurzen Spiralarm, der nach Nordosten vom Zentrum abgeht und an dessen Ende ein heller Knoten steht. Ein Fortsatz geht aber auch etwas abseits weiter und läuft diffus an einer Sternengruppe östlich des Zentrums aus. Weiter gibt es einen nach Osten abgehenden Spiralarm, der aber deutlich schwächer ist. Bei Verwendung eines UHC-Filters treten keine Knoten hervor.

[[NGC 6215]]: Kleine, aber recht helle Spiralgalaxie, die in unmittelbarer Nähe steht. Auf Anhieb sind zwei helle Spiralarme sichtbar, die nach Süden bzw. Westen abgehen. Weiterer diffuser Arm nach Norden bzw. Osten, der von einem hellen Vordergrundstern begrenzt wird. Sternartiges Zentrum.

Taupunkt ist erreicht. Nur noch +1 Grad Celsius. Weiter geht es mit M83. Da tauchen die Astrokollegen auf. Es werden schnell ein paar Hingucker eingestellt: Eta Carinae mit Homunculus, Omega Centauri, Centaurus A, M83, Antennen-Galaxien. Dann mache ich weiter mit IC 4642.

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[[IC 4642]]: Aus der gestern beobachteten strukturlosen Scheibe wird ein Ring mit insgesamt fünf bis sechs Knoten. Darüber hinaus ist ohne Probleme der ZS zu sehen. Dabei sind die Knoten im Norden und Süden am prominentesten, wobei der längliche Knoten im Norden sich blickweise immer wieder in zwei teilt. Der Knoten im Westen folgt helligkeitsmäßig. Dann ein weiterer im Nordosten und schließlich einer im Nordwesten. Im Südosten ist der Ring am schwächsten, was wohl auch daran liegt, dass dort keine markanten Strukturen vorhanden sind. Insgesamt ein schönes Objekt.

[[NGC 6337]]: Nebelring bei 100 fach. Bei 670 zeigt sich der Ring geschlossen, mit helleren Segmenten Nordosten und Westen. Dort zeigen sich auch zwei hellen Knoten bzw. einer. Südlich des nordöstlichen Knotens - innerhalb des Nebelrings - zeigt sich ein heller Stern. Von dort über die Mitte hinaus zeigen sich drei Sterne, eingebettet in einen schwachen Nebelstreifen, der in der Verlängerung auf einen Stern auf dem Nebelrand zeigt. Dort ist das Nebelsegment schwächer, genau wie auf der gegenüberliegenden Seite. Trotzdem erscheint der Ring stets geschlossen.

Interessant ist auch zu sehen, was das Seeing mit den Details anstellt. Wenn es für Momente schlechter wird, verschwinden der ZS und auch die Knoten auf dem Nebelring. Die Bedingungen sind top, 21.9 misst das SQM-L und das Seeing ist heute zum ersten Mal sehr gut.

[[Henize 2-207]]: Ein Tip vom Mitbeobachter. Es zeigt sich bei schlechter werdendem Seeing bei 670 fach ein Nebel in zwei Teilen: Ein Teil hat die Form einer Kaulquappe mit hellem Knoten im Kopf und gebogenen Schwanz. Dem gegenüber zeigt sich ein geradliniges bis leicht gekrümmter schmaler Nebel mit jeweils drei Knoten: Jeweils an den Enden und in der Mitte. Der Knoten in der Mitte scheint der hellste zu sein. Das Seeing ist nicht mehr perfekt, aber kommt in einigen Augenblicken sehr schön zurück.

Das Seeing bricht hier regelmäßig eine Stunde vor Beginn der Dämmerung ein. Begleitet wird dies bizarrer Weise durch das eine Stunde zu früh stattfindende Krähen eines Hahns. Als ob er den Startschuss geben würde. Heute habe ich bis 05:00 Uhr durch beobachtet. Es war kalt und feucht. Eispanzer haben sich gebildet. Die Temperatur fiel stellenweise auf -4 Grad Celsius. Alles ohne Wind, von daher ganz Ok.

[[<<Zurück zur vorherigen Nacht|26. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|28. Mai 2017 - Tivoli Astrofarm]]

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Wieder klar. Wunderbares Wetter. Im Westen liegt ne fette Wolkenbank. Nähert sich aber nicht. Warm. Windstill.

Erstes Objekt ist [[NGC 2792]]: Heute bei besserem Seeing kann ich bis auf über 1000 fach gehen. Es zeigt sich wie in anderen Beobachtungen vermutet ein zitronenförmiger Ring mit einer helleren, kurzen Ausbuchtung nach Nordwesten, um dann lang nach Südwesten weiter spitz zu verlaufen. Gegenüber im Südosten zwei stellare, dicht beieinander stehende, stellare Knoten. ZS nicht zu erkennen. Seeing 1.

Dann zieht - leider wie angekündigt - ein fettes Wolkenband durch. Also doch. Verliere ordentlich Zeit. Zwischendurch gehe ich auf die Antennengalaxien: Können ohne Probleme bis auf 670 fach vergrößert werden. Im Gegensatz zu der Beobachtung von La Palma, zeigen sich noch mehr Details. Zusätzliche Knoten werden sichtbar, aber grundsätzlich wird die Beobachtung mit 14 Zoll bestätigt. Trotzdem nochmal deutlich einfacher und noch detaillierter. Möchte eine Zeichnung machen. Was sich aber erübrigt, denn das Seeing wird schlechter und die Galaxien streben schnell dem Horizont entgegen.

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Die Wolken sind gegen Mitternacht dann wieder weg. 

Nachschau zu [[NGC 5408]]: Beste Vergrößerung für den Galaxienkörper ist 454 fach. Da war ich gestern mit 670 fach zu hoch unterwegs. Dann wird ein kleines geschwungenes „S“ sichtbar. Am Ende die zwei prominenten HII-Regionen. Heute aber sind abgesetzt weitere, aber nicht wie bei den anderen, stellare Knoten, sondern - leicht abgesetzte - diffuse erkennbar. 

''NGC 6752'': Heller, sehr schöner KS. Bis in das Zentrum aufgelöst. Einzelsterne im Zentrum zeigen unterschiedliche Farben, u.a. gelb und blau. Helle Sternkette im Zentrum, die aussieht wie ein Stachel. Weitere vom Zentrum abgehende radiale Sternketten, aber nicht ganz so hell. Sehr schöner KS.

Das nächste Objekt besteht sämtlich aus Galaxien. Es hat offenbar auch den Eigennamen „die Teufelsmaske“. 

Das nächste Objekt habe ich gestern auch beobachtet: “Die NGC 6769 Gruppe. Bei 454 fach sind drei recht helle Galaxien, die ein Dreieck bilden zu erkennen. Hellste ist 6769, dann 6770 und etwas schwächer 6771. Letztere ist lang gezogen mit hellem, länglichem Zentrum. 6769 hat ein sternartiges Zentrum und ist umgeben von einem Ring. Mitte zeigt Balken durch das Zentrum. 6770 ist komplex und erschließt sich nicht sofort. Hier ist einen Nachbeobachtung erforderlich.“

Heute kann ich das hier erkennen.

[[NGC 6769/70/71 - Teufelsmaske]]: Insgesamt sind drei Galaxien zu sehen. Sie bilden ein gleichschenkliges Dreieck, dessen Basis im Norden liegt und praktisch nach Ost-West ausgerichtet ist. In den Ecken der Basis sind zwei Spiralgalaxien in Draufsicht zu erkennen. Die dritte liegt an der Spitze des Dreiecks, also im Süden, und zeigt sich als spindelförmige Galaxie schön von der Seite. Tatsächlich scheinen die drei Galaxien mit viel Fantasie eine Art Gesicht beziehungsweise Maske darzustellen.

Diese Nacht habe ich auch ein paar nachgeführte Aufnahmen gemacht. Zum Einsatz kam das Sigma 55 mm, was aufgrund des APS-C Format tatsächlich 85 mm im Vollformat aufzeichnet. Zusammen mit der Sony A6000 kam das hier raus. 

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Der Mond ist aufgegangen. Das war es für heute. Heute kommt Mathias, ein visueller Mitstreiter an. Matthias hingegen ist ein Fotograf, den ich hier schon dreimal über die Jahre getroffen habe.

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Heute auf dem Roque. Ganz leichter Wind aus West, der aber die Nacht über abflauen sollte. Dann komplett windstill bei circa -0.5° bis +2 °C. Will heute die Nacht durch ziehen. Während ich mit dem Aufbau beschäftigt bin, hält ein weiterer Wagen. Ich erkenne den Fahrer sofort: es ist mein Mitbeobachter aus dem Januar, den ich vor ein paar Tagen auch am Flughafen zufällig traf.
Die Sonne ist noch nicht untergegangen und wir sind schon mit dem Aufbau beschäftigt. Jetzt nach Einbruch der Dunkelheit hält ein weiterer Wagen. Es handelt sich dabei um ein Pärchen, das aber nur kurz bleibt. Ich beschäftige mich derweil noch mal mit Frosty Leo.

Nachschau zu [[IRAS 09371+1212 - Frosty Leo]]: bei 800 fach werden jetzt auch die Auswürfe etwa parallel zu den beiden elliptischen Nebelteilen sichtbar. Südlicher Auswurf etwas heller. Schwierig zu sehen, aber Orientierung und Abstand lassen keinen Zweifel.  Bei circa 1000 fach nicht zu sehen. Die richtige Vergrößerung ist also entscheidend.

Die Spiegelzelle bleibt beim Schwenken an irgend etwas hängen. Es ist eine Schraube, die in der Rockerbox montiert ist. Oh nein. Das bedeutet, dass der Hut nicht richtig montiert ist. Also alles noch mal abbauen und den Hut noch mal richtig aufsetzen. Nach dem Kollimieren ist jetzt genügend Platz. So kann man wertvolle Beobachtungszeit auch verschwenden.

Nachschau zu NGC 3079: bei geringer Vergrößerung von 168 fach werden im Zentralbereich hellere Stellen sichtbar. Sonst konnte die Beobachtung zu vor zwei Tagen komplett bestätigt werden.

Wir beobachten die Gegenschein. Ich belehre, dass er wohl wegen Jupiter, der aktuell in Opposition steht, d.h. genau der Sonne gegenüberstehend, nicht zu sehen sein würde. Der Kollege hingegen entgegnet, dass sein Planetariumsprogramm ihn etwas abseits von Jupiter verorten würde. Und er hatte Recht: neben Jupiter wird ein großer diffuser Fleck sichtbar, der Gegenschein. Jupiter steht erst in ein paar Tagen in Opposition.
Mein Mitbeobachter würde gerne Jupiter sehen. Also würde er eingestellt. Dass Seeing ist gut und Jupiter zeigt sich mit GRF. Kollege meint das Seeing läge bei ca. 0.38".

__[[HCG 70]]__: Bei 65 facher Vergrößerung kaum zu erkennen. Bester Anblick bei 290 fach. Dann werden zunächst IC 4371 und UGC 8990 sichtbar. Beide zeigen eine starke Helligkeitszunahme zum Zentrum hin, fast schon stellar. UGC 8990 zeigt sich zudem in Kantenlage als kurze Spindel. PGC 50159 ist zigarrenförmig mit unscheinbarem Zentrum. Bei 290 fach nur schwer zu erkennen. Besser hingegen bei 114 fach. Neben UGC 8990 zeigt sich IC 4370 als kleines rundes Anhängsel. Gut erkennbar ist auch IC 4369. Die kleine, runde Galaxie bildet ein schönes gleichseitiges Dreieck mit IC 4370 und UGC 8990. Es taucht weiterhin in der Verlängerung von IC 4371 und IC 4369 PGC 50123 auf. Dazwischen wird schwach PGC 50133 schwach als runde, unscheinbare Galaxie sichtbar.

Gegen Mitternacht sinkt die Milchstraße dem Horizont entgegen. Wir bestaunen wie der Schwan aufgeht. Schon jetzt sind Teile der Sommermilchstraße über dem Horizont zu erkennen.

''NGC 4449'': sehr komplexe Galaxie. Erinnert mich an ein Insekt. Hat hellen Balken mit fast sternförmigen Zentrum. Etwas abseits zwei hellere Knoten. Am Ende des hellen Balkens Knoten mit weiterem abgesetzten diffusen Nebel. Auf der gegenüberliegenden Seite läuft die Galaxie diffus V-förmig aus und an deren Ende ein Vordergrundstern und ein hellerer Knoten zu sehen ist. Beidseitig hellere im 90° Winkel zum Galaxienkörper verlaufende Balken. Zum Teil wiederum mit Knoten durchsetzt. Insgesamt wirkt die Galaxie trotz 290 facher Vergrößerung relativ hell. UHC Filter bringt grundsätzlich keine neuen Erkenntnisse. Die zentralen hellen Bereiche bleiben weiterhin prominent.

Mit dieser Galaxie bin ich einige Stunden zugange. Der Kollege hat sich mittlerweile längst verabschiedet und ist gegen 3:00 Uhr heimgefahren. Ich freunde mich auch mit dem Gedanken an und packe tatsächlich eine Stunde vor Beginn der Dämmerung ein. Die Bedingungen waren heute excellent. Das WHT zeigt einen Medianwert von 0.7+-0.1" für die gesamte Nacht am Folgetag an.

Zu Hause angekommen trinke ich noch ein kleines Gläschen Wein und während ich so auf der Couch sitze, kommt mir wieder dieser kleine Gecko entgegen. Ich mache mich bewusst bemerkbar und er rennt wieder in die Richtung zurück, aus der er gekommen war. Gegen Mittag stehe schließlich auf und als ich frühstücken wollte, fand ich den Gecko im offenen Honigglas. Aber das ist eine andere Geschichte.

[[<< Zurück zur vorangegangenen Nacht|25. März 2017 - La Palma]] | [[Weiter zur nächsten Nacht >>|28. März 2017 - La Palma]]

Die letzte Nacht steht an. „Earth Hour“ auch, wo die Straßenbeleuchtung nachts für einen Zeitraum ausgeschaltet werden soll. Mal sehen ob man was merkt.

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Meteoblue sagt tiefe Wolken vorher, also das Gegenteil von klar. Alle anderen aber was anderes. Gestern war es ja auch klar, obwohl es Wolken geben sollte. Für mich ist es definitiv die letzte Nacht. Dann werden wir sehen, ob es Ende April zum Neumond wieder eine Chance gibt. Ich bin auf jeden Fall zufrieden, denn es gab am Ende vier klare Nächte von denen bis jetzt zwei sehr gut waren.

Im Moment sitze ich noch auf der Terrasse des Hotels und trinke einen Kaffee. Netterweise hat man mir bis heute Abend das Zimmer überlassen, ohne dass ich bezahlen muss. Hätte gerne noch um eine Übernachtung verlängert, aber nachdem ich gesehen hatte, dass am Morgen drauf um 9:00 Uhr jemand das Auto gemietet hat, muss ich es natürlich auch um diese Zeit zurückgeben. Tja, das sind die Besonderheiten und Nachteile des Carsharing. Ich schaue noch dem Erdschatten zu, wie er aufgeht. Und er sieht gut aus! Flugzeuge ziehen zwar eine lange Spur über den Himmel, sie lösen sich aber zuverlässig auf. Ich werde einfach schauen wie sich die Nacht entwickelt und dann entscheiden wie lange ich tatsächlich machen werde. Wichtig ist die Chancen zu nutzen. Und das tue ich.

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Und wieder ein Abschied vom Winterhimmel! Nicht schon wieder. Doch. Aber diesmal tatsächlich der letzte. Erstes Objekt ist M42. Zweites der [[„Flammennebel“|NGC 2024 - Flammennebel]]. Verrückt! Obwohl er tief steht ist bereits ohne Filter eine Menge an Strukturen zu erkennen. Ich nutze aber diesmal einen UHC Filter (auf La Palma habe ich das nicht) und das 25 mm Okular, was mir 83x und ein riesiges Gesichtsfeld gibt. Einfach wunderbar dieses Teil, sowohl das Okular als auch der Flammennebel.

Es zeigen sich sofort Filamente, die in der Gesamtschau tatsächlich wie „Fetzen“ aussehen. Mega, trotz des mittlerweile tiefen Stands. Es geht weiter mit dem Galaxienhimmel. Auf der Liste steht M109.

![[M109]]

Schöne Balkenspiralgalaxie. Schon bei Übersichtsvergrößerung (83x) zeigt sie sich strukturiert. Optimale Vergrößerung scheint mir bei 231x zu liegen. Kann zwar auch weiter auf 380x vergrößert werden, aber tatsächlich zeigen sich keine weiteren Details. Insgesamt zeigt sich eine Galaxie mit hellem, aber nicht sternartigem Zentrum mit prominenten Balken, an dessen Ende kurze, helle Spiralärmchen ansetzen, wobei einer davon deutlich länger ist und die Galaxie hälftig umfasst. Im Außenbereich weiterer Spiralarm wahrnehmbar, der aber recht diffus erscheint. Leider zeigt die Galaxie keine spektakulären Details.

SQM-L 21.62 im Zenit.

<<<.tc-big-quote

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Links Winter- rechts Frühlingshimmel. Man sieht auch, wie rechts weniger Lichtverschmutzung zu sehen ist, was vermutlich daran liegt, dass der Aufnahmezeitpunkt rechts am frühen Morgen lag. Der grüne Saum am Horizont ist lupenreine Lichtverschmutzung. Aufnahmedaten identisch bis auf Zeitpunkt. Man sieht auch im Zenit, dass die rechte Aufnahme in diesem Bereich deutlich dunkler ist. Es handelt sich praktisch um nahezu unbearbeitete Aufnahmen. Lediglich der Kontrast wurde etwas angehoben, natürlich auf beiden Aufnahmen um die gleichen Werte. Der Strich im linken Foto ist übrigens die ISS.

<<<

![[Eskimonebel - Innere Strukturen|NGC 2392 - Eskimonebel - Innere Strukturen]]

Mega Seeing! Sollte eigentlich ein weiterer Abschied vom Winterhimmel sein. Beobachte dann schließlich mit circa 1200x. Kann auf der inneren Nebelschale  verschiedene Knoten sehr leicht erkennen. Im Innern tauchen ebenfalls blickweise zum Teil Strukturen auf. Diese können nicht gehalten werden, vermutlich wegen des Seeings, was hin und wieder nachgibt. Seeing 1+.

+4 °C und 94 % Luftfeuchtigkeit. Kein Wind. Kein Luftzug. 21.68 jetzt im Zenit.

! [[NGC 4656 - Hockeyschläger]]

Wahnsinn! Direkt neben der Walfisch Galaxie gelegen. Sieht wirklich aus wie ein Hockeyschläger 🏒 . Kann bis auf 380x vergrößert werden. Beim „Griff“ handelt es sich um den hellsten Teil der Galaxie. Auf der einen Seite geht ein diffuser Strahl weiter und kann nur bei maximaler AP richtig wahrgenommen werden. Ist genau so lang wie der hellere Teil der Galaxie. Am südlichen Ende ist ein Stern zu sehen und dort beginnt auch die Galaxie. Es zeigen sich mehrere Wolken im nahe gelegenen Teil, zum Teil auch mit stellaren Knoten. Dann geht die Galaxie in einen diffusen Teil über und knickt dann nach Osten ab. Seeing 1. Interessant ist, dass beide Enden der Galaxien helle, knotenartige Objekte beinhalten. Offenbar erhält die charakteristischen Form durch die Wechselwirkung mit der Nachbargalaxie NGC 4631, die als Nächstes auf der Beobachtungsliste steht.

Beim Aufsuchen ohne Probleme 6.67 mag Stern erkannt, der direkt sichtbar war. Die Bedingungen scheinen tatsächlich gut zu sein. Das SQM-L sekundiert 21.7 mittlerweile. Dennoch trieft hier alles. 96 % Luftfeuchte. 

![[NGC 4631 & 4627 - Walgalaxie]]

Mega! Krass. Neben dem Hockeyschläger 🏒 ist der „Walfisch“ eine geniale Steigerung! Innerhalb der Galaxie werden viele helle, sternartige Knoten sichtbar und auch diffuse Teilbereiche. Sehr aufwändig, aber sehr schön zu beobachten. Optimal als Vergrößerung scheint mir 230x, die das 9 mm liefert und dazu noch 120°!

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Das war heute das letzte Zeichenobjekt. Jetzt geht es noch mal darum, sich würdevoll zu verabschieden. Das tue ich und stelle M57 ein. Bei maximaler AP von 6.5 mm und OIII versuche ich den [[Halo|M57 - Halo]] zu erkennen. Und es gelingt. Dann NGC 7000 und Schluss!

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Und ein letztes Foto!

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Um 5:15 Uhr bin ich abfahrbereit. Jetzt geht es zurück nach Frankfurt.

[[<< Zurück|26. März 2022 - Lange Rhön]] | [[Weiter >>|Frühjahrsauftakt in der Rhön]]

Windstill. Erdschatten sehr gut sichtbar. Transparenz sehr gut. Perfekte Bedingungen.

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*22:10 Uhr - ''Barnard 78'': Pfeifennebel. Bereits mit blossem Auge sichtbar. Riesiger unregelmässiger Dunkelnebel. Westlicher Teil T-förmig. Im 10x50 Feldstecher zeigen sich seine Enden ausgefranzt. Nicht vollständig dunkel. Einige helle Sterne im Nebel sichtbar. SQM-L 21.50 Z. Am westlichen Ende ist schwacher und kleiner KS auszumachen.

*23:00 Uhr - ''Abell 51'': Kleiner runder scharf begrenzter Nebel. Typischer Abell. Recht schwierig aufzufinden, da reiches Sternfeld. Kann bei 114 fach und OIII indirekt leicht gehalten werden. Ist selbst ohne OIII schwach sichtbar. Jetzt kann ein schwacher ZS in dessen Mitre ausgemacht werden!

*23:35 Uhr - ''Abell 53'': Kleiner runder, homogener, diffuser Nebel. Bei 114 fach kann er indirekt nicht ständig gehalten werden, ist aber dennoch sicher beobachtbar. Ohne Filter zeigt sich kein ZS. Deutlich schwerer als direkt zuvor beobachteter Abell 51.

*0:15 Uhr - ''Abell 45'': Bei 114 fach und auch bei 56 fach und OIII zeigt sich nach geduldiger Beobachtung nichts. 

*01:50 Uhr - ''Abell 56'': Nach geduldiger und langer Beobachtung bei 56 fach und 114 fach zeigt sich leider nichts.

*02:50 Uhr - ''NGC 7076'': Nachschau: Bei 300 fach wirkt der Nebel nördlich bis östlich dunkler und läuft diffus aus. Andere Seite hingegen gut definiert. Dunkelstrukturen in der Mitte können nicht ausgemacht werden.

*03:35 Uhr - ''Abell 78'': Mittelgrosser, diffuser und leicht ovaler Nebel, in der Mitte der Verbindungslinie von zwei hellen Sternen. Zentralstern ist recht einfach zu sehen. Bei 114 fach und OIII bester Anblick. Bei 168 fach säuft er ab. Keine weiteren Details gesehen.

*04:20 Uhr - ''Abell 3'': Nach geduldiger Beobachtung zeigt sich ein diffuses ganz schwaches Glimmen um einen schwachen Stern. Kann indirekt bei 114 fach und OIII nicht ständig gehalten werden. Im Nebelgebiet taucht ein weiterer schwächerer Stern blickweise immer wieder auf. Schwer!

*05:00 Uhr - ''Abell 6'': Bei 114 fach zeigt sich mit OIII ein recht großes  ganz zartes schwaches Glimmen. Kann nur hin und wieder aufblitzend beobachtet werden. Beobachtung kann nach einer Beobachtungspause wiederholt werden. Form rund. Sehr Schwer!

*05:20 Uhr - ''NGC 604'': Bei 430 fach scheint der Nebel gemottelt und immer wieder blitzen in Phasen sehr guten Seeings einzelne Lichtpunkte auf. 

Um 06:04 Uhr wird die astronomische Dämmerung einsetzen. Schnell werden noch ein Paar Standardobjekte abgeklappert: NGC 7000, Zirrus-Nebel, Pelikannebel. M33 ist wieder direkt sichtbar und lässt sich im Quickfinder schnell einstellen. Das Zentrum ist hell und die Spiralarme lassen sich über das gesamte GF direkt beobachten. Als letztes Beobachtungsobjekt habe ich die Lichtbrücke ins Auge gefasst. Sie ist hell und steigt aus dem pyramidenförmigem Zodiakallicht im Osten auf und trifft zunächst auf die Plejaden um etwas abseits des Zenits weiter zu verlaufen und im untergehenden Wassermann auf eine etwas kleineres Pendant im Westen zu treffen. Der Himmel wird zusammen mit der Milchstraße in drei Teile geteilt. 

Die Dämmerung hat eingesetzt und die Umgebung wird rasch heller. Ich packe alles zusammen und um 06:30 bin ich abfahrbereit. Ich lege - wie immer - mein Debussy Album auf und lausche den Nocturnes.

!!Auf der Rückreise nach Madrid

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Seit Tagen hatte ich die Wetterprognosen beobachtet. Schließlich waren sich tatsächlich einige Wetterdienste einig: Es soll klar werden. Da das Ganze auf einen Samstag viel, beschloss ich etwas weiter wegzufahren. Schließlich ging es in die Rhön, wo ich schon kurz vor Sonnenuntergang ankam.  

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Der Himmel war schließlich nicht überragend, aber dennoch war die Milchstraße von Horizont zu Horizont gut zu erkennen. Zunächst stellte ich erst mal wahllos ein paar Objekte zeigen, wie den Ringnebel oder den Zirrusnebel. Kurz vor Einbruch der astronomischen Dämmerung, stieg ich dann in meine Beobachtungsliste ein.

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Sonnenuntergang. Wie vorhergesagt verziehen sich die Wolken bei Anbruch der Dunkelheit.

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Blick auf die Wasserkuppe kurz vor Monduntergang.

20:50 Uhr - ''NGC 6940'': Sehr großer  offener SH. Eher was für den Feldstecher und schon 100 mal beobachtet, aber nie notiert. Oval mit vielen hellen Sternen, die viele Ketten bilden. Ganz schön wuselig. Südwestlich heller DS. Sehr eng Im Okular bei 56 fach.

21:25 Uhr - ''NGC 6864'': Heller grosser Ring. Bei 168 fach leicht auffindbar. Bildet mit zwei mit bloßem Auge sichtbaren Sternen ein gleichschenkliges Dreieck. Bei 280 fach zeigt sich schließlich westlich auf dem Nebelrand ein schwacher Stern. Südlich und östlich blinzelt ebenfalls ein etwas schwächerer Stern hervor. Der Ring wirkt bei indirekter Beobachtung strukturiert. Wunderschöner PN. 

22:25 Uhr - ''HCG 93'': Drei relativ gut sichtbare Gx, die ein rechtwinkliges Dreieck bilden, sind gut zu erkennen. Das Dreieck steht mit der Spitze etwa nördlich, so dass beim Anblick im Newton kurz nach dem Meridiandurchgang, dass Dreieck auf dem Kopf steht. Alle drei Gx sind diffus auslaufend mit Helligkeitszunahme zum Zentrum hin. NGC 5770 ist die hellste. NGC 5749 ist die zweithellste und zeigt sich länglich. Bei geduldiger Beobachtung tauchen zwei schwache weitere Gx auf. 

22:40 Uhr - ''Abell 81 - IC 1454'': Kleiner runder heller Nebel. Schon bei 56 fach ohne Filter erkennbar. Am Besten bei 290 fach. Reagiert gut auf OIII. Aber bei allen Vergrößerungen auch ohne Filter gut erkennbar. Ohne Filter diffus auslaufend. Mit scharf abgegrenzt. Kein ZS. Nordöstlich Sternenpaar erkennbar. Liegt nur knapp außerhalb des Nebels. 21.16.

Die Temperaturen fallen recht schnell auf +6-8° Celsius. Man gut, dass ich bereits die Winterklamotten dabei hatte.

23:20 Uhr - ''NGC 7008'' = ''Fötusnebel'': Sichelförmiger sehr heller Nebel. Südlich eines gelb-blauen Doppelsterns. Im Nebelgebiet sind zwei Sterne zu erkennen, wobei einer der ZS zu sein scheint. An den Sichelende helle Knoten erkennbar. In der Mitte diffus auslaufend. Sehr hell. Bester Anblick bei 430 fach.

0:05 Uhr - ''Abell 77 = Sh 2-128'': Kleiner runder Nebel, der gut auf OIII reagiert. Am Besten bei 114 fach und OIII, dann ist der Nebel scharf abgegrenzt sichtbar. Ohne Filter auch zu sehen. Dann wird der ZS sichtbar und der Nebel läuft diffuser aus.

0:25 Uhr - ''Sh 2-129'': Riesiges Objekt. Mit großer Austrittspupille (5,6 mm) und UHC ist beim Durchschenken  des Gebiets nichts ad hoc zu erkennen.

Richtung Südwesten ist die Wasserkuppe sichtbar. Dahinter hat sich mittlerweile eine Hochnebeldecke gebildet. Ich hoffe die zieht nicht hier herüber.

01:55 Uhr - ''Minkowski 2-51'': Runder kleiner Nebel um zwei schwache Sterne. Reagiert gut auf OIII. Kann relativ stark vergrößert werden. Keine Strukturen. 114, 167 und 290 fach.

02:35 Uhr - ''Minkowski 2-52'': Sehr kleiner und schwacher Nebel um einen ebenfalls sehr schwachen Stern. Ohne Filter nichts zu sehen. Mit OIII bei 168 fach am Besten zu sehen. Ohne Filter wird der ZS sichtbar. Deutlich schwieriger als zuvor beobachteter ''Minkowski 2-51''.

03:00 Uhr - ''NGC 1624'': Runder bis leicht ovaler Nebel um eine Gruppe von Sternen. Schon bei 56 fach gut zu erkennen. Reagiert auf OIII. Dann ist der Nebel sehr kontrastreich zu sehen. Am Besten bei 114 fach mit Filter.

Der Fangspiegel ist plötzlich beschlagen. Und auch das Okular ist es auch. Beide werden noch mal aufgewärmt, aber es hilft nichts. Sie beschlagen erneut. Das war's dann wohl. Ein Wetterdienst hatte vorher gesagt, dass der Nebel um 2:00 Uhr kommen würde. Jetzt ist es 3:30 Uhr und es sieht so aus, als ob er jetzt da wäre. Ich habe auch alle meine Beobachtungsobjekte auf meiner Liste abgearbeitet. Und so setze ich mich noch mal gemütlich in meinem Stuhl, esse die Schokolade, und trinke den restlichen Tee. Am Ende packe ich noch mal das SQM-L aus. Es misst im Zenit 21.25. Nichts Überragendes, aber auch nicht wirklich schlecht. Die Hochnebeldecke über dem Rhein-Main-Gebiet bleibt relativ ortsfest. Die Rückfahrt ist etwas ungemütlich, da bereits bei der Abfahrt bis kurz vor Frankfurt dichter Nebel mein ständiger Begleiter ist, mit unter sehr geringer Sichtweite.

Einen Monat später. Wieder in der Rhön. Vielleicht einer der letzten Nächte vor der Sommerpause. 

!!Nachschau

#Hockeyschläger
#M94
#NGC 2976 odm - https://www.astrotreff.de/index.php?article/28-odm-april-2022-ein-außenseiter-im-großen-bär/

!Neu

#Supernova in NGC 4647 - https://www.astrotreff.de/forum/index.php?thread/271532-neue-helle-supernova-sn2022hrs-in-ngc-4647-virgo/
#Arp 91 - NGC 5954: 

Obwohl es so trocken ist, ist es doch häufig bewölkt. Das ging den ganzen August so, wobei es am 25. zum Neumond doch für einige Stunden nachts aufklarte. Die Nacht habe ich natürlich ausgelassen, denn ich hab den Braten nicht gerochen. Zu meiner Entschuldigung muss ich weiterhin sagen, dass ich leider am Folgetag einen wichtigen Termin morgens hatte. Nun gut, zum Glück gibt es noch mal eine Augustnacht. Zunächst sah es nach mehreren aus, aber dann zeigt sich doch wieder, dass wir eben nicht in Südeuropa leben, denn Wolken sind schon wieder angekündigt. 

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Gut, zunächst muss ich warten, bis der Mietwagen um 19 Uhr wieder frei ist. Ich habe natürlich schon alles vorbereitet und muss nur noch vorfahren und einladen. Komme dann in der Dämmerung am Beobachtungsplatz an, was auch gut ist. Praktisch ab 22:30 Uhr bis fast 4:30 Uhr morgens gibt es also Astronomie. In den folgenden Tagen schrumpft das Beobachtungsfenster auf wenige Stunden, mit Glück auf immerhin fünf. Eine Wolkenfront geht, die andere kommt. Mit dabei ist wieder mein Sohn, der mich beim Auf- & Abbau unterstützt.

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Wir sind heute auf einem Parkplatz in der Langen Rhön. Die Wahl war gut, denn außer uns ist hier niemand und es ist recht dunkel. Leichter Wind aus Nord der hier spürbar ist. Die südliche Sommermilchstraße ist sehr gut zu erkennen, wie die Aufnahme zeigt.

![[Laevens 3]], die zweite…

Hier hatte ich mich [[letztens|06. August 2022 - Lange Rhön]] verzettelt und deshalb versuche ich es noch mal. Diesmal habe ich einen gescheiten Screenshot aus Aladin dabei und hoffe mal, dass es mir diesmal gelingt mich im Sternfeld besser zurechtzufinden. 

Ausgangspunkt ist - wie immer - HD 201139. Ich biege wie vor drei Wochen erst mal in die falsche Richtung ab und bin natürlich wieder sofort verwirrt. Dann erkenne ich aber meinen Irrtum und zur Sicherheit lade ich noch mal die komplette Sternkarte online. Dann besteht kein Zweifel mehr, dass Dreieck aus schwachen Sternen ist schließlich gefunden. Und in seiner Mitte glimmt tatsächlich, doch recht auffällig Laevens 3. Kann indirekt gerade so gehalten werden, blitzt aber immer wieder „unverschämt“ deutlich auf. Eindeutig flächig mit Helligkeitszunahme zum Zentrum hin. 21.48 im Zenit. 

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Mit 11 °C ist es recht angenehm. Luftfeuchtigkeit ist aber trotzdem bei 81 %. Das ist halt die Rhön.

!HII-Regionen in [[M31 - C410|G280 & C410 & G272]]

Eine HII-Region ist C410. Sie steht in der Nähe zu einem Kugelsternhaufen, G280, wobei unweit ein weiterer steht, G272. Beide sind etwa gleich hell, wobei 280 möglicherweise ein Ticken heller ausschaut. Schwierig zu entscheiden. Beide haben ein sternförmiges Zentrum und einen kleinen, unscheinbaren Halo. C410 hingegen ist zigarrenförmig und enthält in der Mitte einen stellaren bis leicht diffusen Knoten, der einseitig durch eine Fehlstelle abgesetzt erscheint. Schöner Anblick, denn alle drei Objekte passen noch in ein Gesichtsfeld. Interessanterweise profitiert C410 nicht von einem UHC-Filter. Zum Spaß auch den OIII-Filter ausprobiert, aber da zeigt sich gar nichts. Seeing 2-3. Vergrößerung 562x.

Das SQM-L klettert auf 21.56. Sehr gute Nacht! Ich kann sogar mit dem 25 mm Okular die Materiebrücke zwischen M110 und M31 erkennen. 

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Wie vorhergesagt, beginnen in der zweiten Nachthälfte Wolken durchzuziehen. Sie stören aber kaum.

![[G2 wird nachbeobachtet zusammen mit G1|G1 & G2]]

Bereits vor drei Wochen bereits beobachtet und mit Skizze nachträglich identifiziert. Heute noch mal sehr eindeutig und G2 ist gar nicht mal so schwer. Im Gegenteil. Im Gegensatz zu G1 ist er allerdings deutlich lichtschwächer und zeigt auch keinen Halo. Sieht tatsächlich aus wie ein Feldstern. Kann praktisch nur aufgrund seiner Position identifiziert werden. Habe eine Zeichnung zusammen mit G1 gemacht. G1 ist aber deutlich heller und hat auch einen Halo. Der ist schon bei 231x zu sehen.

![[G1 bei 561x|G1]]

Schließlich zeichne ich G1 auch noch mal solo.

M33 ist mit bloßem Auge zu erkennen. Im Teleskop der Hammer! Der Orion geht mittlerweile auf. Es ist fast 3:00 Uhr. Ich möchte noch die Satellitengalaxien NGC 147 und 187 beobachten.

!R Aquarii

Er geht durch den Meridian. Also höher kommt er nicht mehr. Leider nichts definitives zu erkennen, außer dem rötlichen Schimmer des Sterns. Benutze sogar UHC und OIII-Filter, aber ebenfalls nichts. Hin und wieder glaube ich einen schwachen Schein in eine Richtung zu erkennen, aber dies bleibt total unklar, denn die Richtung variiert immer mal wieder. Also negative Sichtung, Meridiandurchgang, Seeing 4. 231x. Bin etwas geschockt! 😯 

Um das Ganze einzuordnen, stelle ich kurz Jupiter ein. Will nicht viel investieren, also beobachte ich mit dem linken Auge und stelle mit Entsetzen fest, dass das Seeing  einfach eine Katastrophe ist.

!NGC 147 & 187 & Plejaden 

Das Duo sieht gut aus, allerdings recht strukturarm, zumindest finde ich dies heute und drücke mich um eine Zeichnung. Dennoch ein lohnenswertes Paar. Bei Minimalvergrößerung passen sie leider nicht zusammen in ein Feld. Fehlt aber nicht viel.

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!IC 59 & 63 

Diese stehen mittlerweile im Zenit zusammen mit Gamma-Cassiopeia. Sind eindeutig und recht einfach erkennbar und auch die Verbindung zwischen beiden ist diffus gut zu erkennen. Dies war’s hier und ich kann mich nicht mehr so richtig aufraffen und bestaune mit bloßem Auge das morgendliche Zodiakallicht. Gegen 5:00 Uhr sind wir dann abfahrbereit und es geht wieder Richtung Frankfurt. Leider passiert mir ein kleiner Fahrfehler und am Car-Sharing Wagen passieren noch unschöne Dinge. Nichts dramatisches aber schon blöd.

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Gestern habe ich bis ca. halb vier morgens gemacht. Der Himmel blieb seifig und das SQM-L zeigte nur Werte um 21.6 am Ende an. Guter Himmel. Aber für diesen Platz recht schlecht. Die Lichtglocken sind für meinen Geschmack größer als auf dem Alto Tajo. Allerdings war es dort letztes Jahr perfekt klar. 

Ich stehe gegen elf Uhr morgens auf. Die Heizung dröhnt etwas. Nicht die im Zimmer, sondern im Bad. Die kann man leider nicht abschalten. Wie auch immer. Ich schreibe diese Zeilen. Dann das Auto umparken, damit es nicht in der Sonne steht. Von ca. 0 Grad Celsius auf 25 Grad Celsius in einer Stunde vielleicht? Nicht gut.  Später gibt es Mittagessen und dann muss ich noch was schlafen. Für die nächsten Nächte sagen Meteoblue und 7timer schlechteres Seeing vorher. Mal sehen ob das stimmt.

Konnte mich sehr gut erholen. Heute versuche ich durchzuziehen. Mal sehen, ob das gelingt. Bin heute spät dran. Leider verpasse ich die schönste Zeit beim Sonnenuntergang. Der Erdschatten ist aber heute gut zu erkennen. D.h. die Transparenz ist gut.

Die Hütten auf dem Foto gehören zum Tourismuskomplex „Pinar de Araceli“, der im Januar 2011 für immer die Pforten geschlossen hat. Ob er jemals wieder aufmacht ist unklar. Die Hütten sind stumme Zeugen des Immoblienbooms in der Zeit vor der Finanzkrise, der selbst abgelegene Orte wie diesen erreichte. Hier gibt es sogar ein betoniertes Basketballfeld. Sicher ideal für unsere Zwecke geeignet. Große und sehr große Dobsons lassen sich dort mit Sicherheit sehr gut betreiben.

Der Mond stört heute schon. Die Transparenz ist sehr gut. Nach Monduntergang zeigt das SQML 21.71 20:22 MEZ im Zenit an. Das ist mal eine Ansage. 

[[NGC 7497 & MBM 54]]: Angefangen habe ich bei 40 facher Vergrößerung. Der Himmelshintergrund ist bei 8mm AP schon sehr hell. Ich gehe auf 65 fach oder 5.6 AP. Es kristallisiert sich ein Glimmen an einer Stelle raus. Bei 114 fach muss ich allerdings erkennen, dass dies ein schwacher Stern ist, der dies nur vorgetäuscht hat. Ich schaue mir __[[Uwes Zeichnung|http://www.deepsky-visuell.de/Zeichnungen/NGC7497_MBM54.htm]]__ an und muss erkennen, dass die Molekülwolke sehr viel größer ist. An der richtigen Stelle wird sie dann schließlich sichtbar, wobei ich sie zunächst auch an der gegenüberliegenden Seite vermutet hatte. Ja, so ist das. Habe den Fehler aber selbst bemerkt, denn bei 40x war da nix zu sehen. Dann aber kann ich sie zweifelsfrei erkennen. Ovales Glimmen an einer sternfreien Stelle. Recht gut mit 65 fach und auch mit 40 fach (!) und schwenken zu erkennen, wenn auch bei 40x (AP 8mmm) viel schwerer. Ich vergleiche nochmal mit Uwes Zeichnung. Größe und exakte Position stimmen überein. Sehr schwer! Vermutlich nur zu erkennen (mit 14 Zoll), wenn man weiss wo man schauen muss. Von der Schwierigkeit her etwa so schwer wie der Halo um Jupiters Geist (mit OIII und 14 Zoll), würde ich persönlich schätzen. SQM-L Messung im Pegasus Viereck zeigt 21.7 im Mittel. Sauber!

Ich müsste jetzt eigentlich mit M33 starten. Also tue ich das. Aber die parallel laufenden Aufnahmen und das damit verbundene Hin und Her sind total blöd. Nach ein bisschen Guckerei bei M33 lasse ich das Ganze doch sein. Aber immerhin: Ich habe angefangen. Mit +3 °C und 27% Luftfeuchte recht frisch, aber sehr trocken. 

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Ich raffe mich schließlich auf. Es geht weiter. Die Luftfeuchte fällt auf 25%. Nach einer Weile scheinen die Lichtglocken am Horizont wieder zu wachsen an. Und schon sehe ich eine Wolkenbank aus ganz feinen Zirren. Und sie sind schnell da. Der Himmel wird milchig bis in den Zenit. Hoffe, dass dies nicht alles war heute Nacht. Es ist gerade mal Mitternacht durch. Bei Wolken die Nacht durchbeobachten macht irgendwie auch keinen Sinn. Zum Glück ziehen die Wolken nach Norden ab. M33 ist jetzt aber gestorben, denn da sind die Zirren unterwegs. Auch gut! Habe ich wenigstens eine Ausrede.

Womit denn jetzt weiter machen? Keine Ahnung. Ich mache mit M78 weiter. Vorher M42 u.s.w. Endlich packe ich auch mal den Feldstecher aus und surfe in der Wintermilchstraße. Die Wolken sind endlich weg. Und im Zenit werden jetzt 21.8 im Mittel erreicht. Na endlich! Der Rabe geht auch endlich auf. Namibia lässt grüßen! 

Als nächstes glotze ich M51 und dann mit bloßem Auge die untergehende Wintermilchstraße. Dann den Rest des Himmels. Die All Sky Aufnahmen schnurren wie ein Kätzchen. Ab fünf Uhr ist es wirklich mucksmäuschenstill. Kein Gebimmel und Gebammel mehr von den Ziegen, die sich nachts meldeten und quasi aufbegehrten. Lag wohl am Startracker, der am Ende seiner Nachführkapazität (60 min kann er nachführen) immer wie ein Wecker schellt (ist ein Feature!). Das fanden sie wohl gar nicht witzig. Recht haben sie. Dann wieder so ein Urschrei aus dem Walde. Aber jetzt ist es total ruhig. Es geht auch kein Wind. So wie gestern auch. Im Zenit thront der große Wagen. Als ich den Himmel durchmessen will gibt es so ziemlich alles zwischen 21.6 und 21.8. Es ziehen wohl weiter Zirren durch. Im fertigen Timelapse kann ich das ja dann sehen.

Die astronomische Dämmerung setzt um 06:50 Uhr ein. Dann habe ich über elf Stunden in den Knochen. Schöne elf Stunden. Unheimlich wird es als ich erkenne, dass alle Sterne bis zum Horizont still stehen. Kein flackern, nichts. 

Ich habe bereits alles zusammengepackt. Es bleiben noch 30 min. Der Himmel wird bereits merklich heller. Das Morgenzodiakallicht dominiert den Südosthimmel. Die Leier ist im Nordosten wieder vollständig aufgegangen. Die Umgebung wird auch schon merklich heller. Das kommt durch den helleren Himmel, der am morgen durch das Zodikallicht spürbar aufgehellt wird. Damit habe ich dann auch eine ganze Nacht vom Pinar de Araceli als All Sky Timelapse im Kasten. Schade, daß es durchziehende Wolken gab. Oder besser: Gut so. So kann man schön sehen wie die Lichtverschmutzung auch an diesem vermeintlich dunklen Himmel doch aufhellt. Die verursachenden Städte sind weit weg (im Schnitt 100km Luftlinie), aber verursachen trotzdem viel Licht.

Wir haben leichten Bodenfrost. Denn als ich abbaue klebt alles am Boden fest. Auf dem Autodach zeigt die Wetterstation aber +3 Grad Celsius an. Interessant. So nun noch eine Viertelstunde und dann geht es heimwärts. Wunderbare Nacht war das.

[[<<Zurück zur vorangegangenen Nacht|27. Dezember 2019 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|29. Dezember 2019 - Pinar de Araceli]] 

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Wieder sehr transparent. Windstill. Aber es ist sehr viel Wind vorhergesagt. Am Ende ist es nicht so schlimm, aber ein anderer Parameter macht uns die Nacht zu Hölle: das Seeing! Aber der Reihe nach. Tagsüber versuche ich mich zu erholen, was leider nicht gelingt. Gegen Mittag bin ich in der Langen Rhön unterwegs und versuche einen bekannten Beobachtungsplatz auszukundschaften. Hintergrund ist die Wettervorhersage, die ab 22:00 Uhr ordentlich Wind vorhersagt. Mathias und ich haben schon richtig Schiss. Der Platz bietet vor allen Ding nach Süden hin Schutz durch das Gelände. Aber der Platz ist nicht zugänglich, da die Straße noch nicht vollständig geräumt ist und Schneefelder zum Teil vorhanden sind.

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Daher entscheiden wir uns wieder für unseren Platz von gestern. Wie bereits gesagt, treffe ich bei Windstille um 19:00 Uhr ein. Die Dämmerung dauert insgesamt schon fast zwei Stunden. Man merkt, dass der Frühling nah ist. Ab 20:00 Uhr beginne ich schließlich zu beobachten. Erstes Objekt ist wieder M42. Dann - wie gestern - der „Running Man“. Wirklich wieder eine Augenweide. Die Transparenz, das merkt man schon jetzt ist wirklich außergewöhnlich gut. Weiter geht es zu M46 und dem schönen Planetarischen Nebel, den er beherbergt. Aber leider stehen die beiden noch zu tief beziehungsweise höher kommen Sie in Deutschland nicht. Hier unten ist natürlich das Seeing nicht besonders gut. Apropos Seeing: ich schiebe das Bino in den Okularauszug und schau mir noch mal M42 an. Die Huygensregion beeindruckt mich durch ihre vielen zarten Filamente. Aber es wird schon klar, dass die Luftunruhe heute hoch ist.

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Ein Blick zur Wasserkuppe rüber zeigt Lichtverschmutzung in ihrer reinsten Form: Beleuchtung der Skipiste, die sogar von einigen Kilometern aus richtig übel aussieht. Zum Glück dauert der Spuk nicht lange, denn um 20:00 Uhr wird sie schließlich ausgeschaltet. Es ist auch die Zeit, wo am Horizont noch ordentlich Lichtbuckel zu sehen sind. Aber das wird sich ja gegen Mitternacht voraussichtlich ändern.

!M1

Weiter geht es zu M1. Auch dieses Objekt erstrahlt im 21 Zöller. Mathias trifft schließlich ein. Auch er hat heute 21 Zoll dabei. 

Schon jetzt ist es richtig kalt. -4 °C bei kräftigem Wind. Praktisch nichts kann mehr richtig angefasst werden, ohne dicke Handschuhe zu tragen. Die Handwärmer bringen nicht genug Leistung, um mit dünnen Baumwollhandschuhe zu hantieren. Zeichnen geht bei sowas nicht. 

!Thor's Helm

Das nächste Objekt ist ein Vorschlag von Mathias. Mit Bino finde ich Thor's Helm leider nicht. Also noch mal zurück zum 20 mm Okular gewechselt. Schließlich klappt es, und das Ganze sieht sehr gut aus. Im Bino jedoch nicht, denn das Bild ist mit OIII-Filter doch recht dunkel. Mit 20 mm allerdings sieht er spitzenmäßig aus!

Irgendwie zeigt sich jetzt schon, dass ich diese Nacht nicht durchhalten werde. Bin total kaputt und kann einfach nicht mehr. Das Alter? Keine Ahnung, aber ich quäle mich weiter. Unterstütze am anderen 21 Zöller, denn Mathias findet ein Objekt partout nicht. Ich zunächst auch nicht, aber dann klappt es. Das Seeing erreicht mittlerweile erstaunliche Werte. Ich schätze es auf 4-5 Bogensekunden! Woher ich das weiß? Von meinen Astroexkursionen nach La Palma. „Halosterne“ sehen aus wie Tennisbälle. Für mich macht bei diesen Bedingungen eine Beobachtung keinen Sinn, denn Details sind so kaum wahrnehmbar. Im Grunde genommen müsste man jetzt vom 21 Zoll auf 2 Zoll wechseln, gemeint ist der Feldstecher. Aber auch hier zeigt sich, es ist heute für mich einfach zu kalt. -5 °C mittlerweile und der Wind im Mittel um 40 km/h. Alles was man auch nur kurz berührt, scheint die Fingerkuppen einzufrieren. Das macht keinen Spaß!

![[Simeis 147 um HD 246646|Simeis 147 um HD246646]]

Ein Spaßobjekt. Denn das Seeing ist schlecht und für den „Spaghettinebel“ irrelevant. Mit OIII-Filter wird tatsächlich ein kurzes Nebelfilament sehr schwach sichtbar.

Wir schauen mittlerweile kurz bei Hi & Chi vorbei. Hier muss ich leider erkennen, dass ich tatsächlich einen Korrektor werde anschaffen müssen. Im Bino, der mit einem Glaswegkorrektur ausgestattet ist, der auch die Koma korrigiert sind alle Sterne „nadelfein“ und ohne „Schweifchen“. 

!M101

Wow! Sehr schöner Anblick. Ganz zart hat sich die Galaxie vom Himmelshintergrund ab und zeigt ihre Spiralstruktur.

Danach bin ich durch. Um 2:00 Uhr fällt schließlich die Entscheidung abzubauen. Mathias mahnt, dass das Seeing ja wieder besser werden könnte. Aber das ist mir mittlerweile egal und auch zu spekulativ. Für mich ist hier heute Schluss. Alles wird verladen und nach einer Dreiviertelstunde kann ich schließlich aufbrechen. In der Unterkunft angekommen, erinnere ich mich noch daran, dass ich ein kleines Bierchen dabei habe. Die Flasche sollte jetzt ausreichend gekühlt sein, und nachdem ich es getrunken habe, geht es einfach nur ins Bett. Ich bin so fertig, dass ich bis zum nächsten Morgen durchschlafe und mich tatsächlich gut erholen kann. 

Der neue 21 Zöller hat mir tatsächlich eine neue Welt eröffnet.

[[<< Zurück|27. Februar 2022 - Lange Rhön]] | [[Zurück zur Übersicht>>|Frühjahrsauftakt in der Rhön]]

Wieder auf der "Halde". Perfekte Bedingungen. Kein Wind. Die ganze Nacht nicht. Und gutes Seeing. Kurzzeitig perfekt, dann wieder einen Ticken schlechter. Nachdem ich letzte Nacht bis zur Morgendämmerung blieb, bin ich heute etwas geschlaucht, da ich nicht gut und vor allem nicht ausreichend geschlafen habe. Heute möchte ich eine spontan zusammengestellte PN Session starten. Hintergrund ist das wieder gute Seeing und die Tatsache, dass kein Lüftchen weht. 

[[Kohoutek 3-90]]: Sehr kleiner planetarischen Nebel, der am besten bei 420 fach und ohne Filter zu sehen ist. Bei 114 fach beziehungsweise 168 fach ist er bereits mit Filter gut zu erkennen. Am besten funktioniert hier der OIII. Interessant ist tatsächlich, dass mit höherer Vergrößerung der Nebel besser zu erkennen ist. Trotz hoher Vergrößerung und der anfänglichen Vermutung bei 290 fach, dass zudem ein Stern zu sehen ist, zerschlagen sich bei 420 fach. Es bleibt bei einem runden strukturlosen Scheibchen. Am besten beobachtbar bei hoher Vergrößerung und ohne Filter.

Wunderbar. Kein Wind. Und bestes Seeing. Häufig gibt es wind. Und dann lassen sich die Details doch nicht vollständig wahrnehmen, da das Bild wackelt.

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[[IC 1747]]: Sehr kleiner Nebel. Bei sehr starker Vergrößerung von 800 fach zeigt sich auf den ersten Blick zunächst ein kleiner Rauchring. Bei längerer geduldiger Beobachtung taucht dann im Norden ein heller Balken auf dem Nebelrand auf mit einer Verdickung im östlichen Teil, sowie etwas kürzer auf der gegenüberliegenden Seite im Süden. Beide Teile sind durch einen Balken, der durch das Zentrum geht, verbunden. Nach Osten und Westen scheint Der Nebel offen zu sein, zeigt aber eindeutig einen diffusen Rand, der auch das Innere des Nebels prägt. Schönes Objekt.

[[UGC 1281]]: Superthin-Galaxie. Bei 65 fach kaum zu erkennen. Bester Anblick bei 114 fach. Dann wird eine dünne Spindel mit kaum wahrnehmbarer Helligkeitszunahme zum Zentrum hin sichtbar. Dicht neben dem Zentrum steht außerhalb der Galaxie ein schwacher Vordergrundstern. Im südwestlichen Teil geht die Galaxie deutlich weiter in einen diffusen nach Südwesten auslaufenden Strahl über. In der Nähe zwei runde bis linsenförmige kleine Galaxien sichtbar. Eine davon hat ein sternartiges Zentrum. Um die schwachen Sterne vom Galaxienkörper zu trennen, ist es nötig bis auf 168 fach zu vergrößern.

''M78'': Nachschau. Heute habe ich es auf die dunkleren Bereiche von M78 abgesehen. Am besten werden diese bei 65 fach und maximaler AP sichtbar.

''Abell 14'': Zunächst studiere ich das Sternfeld bei 290 facher Vergrößerung genau. Die Sternengruppe, in der sich der PIN befindet, wird komplett aufgelöst und besteht im wesentlichen aus drei Sternen, die zu einem gleichschenkligen Dreieck  angeordnet sind. Der Zentralstern bildet die Spitze des Dreiecks. Bei Benutzung des OIII Filters können die Sterne und damit insbesondere auch die Position des PN's nicht mehr korrekt erkannt werden. Daher verkleinere ich die Vergrößerung auf 168 fach und kann mit OIII Filter die Sternengruppe wieder eindeutig identifizieren. Da Seeing sehr gut ist, können die Sterne, sofern sie einmal erkannt werden, gut beobachtet werden. Trotzdem kann ich nicht sicher den Nebel lokalisieren, beziehungsweise sehen. Würde schätzen, dass mindestens 290 fache Vergrößerung notwendig sind, um den Nebel überhaupt sicher erkennen zu können. Um dies zweifelsfrei gegenüber der Sternengruppe zu tun, ist offenbar zwingend eine größere Öffnung nötig. Die Kombination kleiner, schwacher PN und schwache Sternengruppe sind einfach fatal für die Sichtung.

''Jonckheere 900'': Bei 65 fach zeigt sich ein enges Doppelsternpaar. Wenn man es auf 800 fach vergrößert, zeigt sich ein Nebel und ein Stern. Der Nebel ist sehr hell und hat eine runde Grundform. Dann zeigt sich aber relativ schnell, dass er zwei helle Kanten hat, die über die runde Form hinausragen. Am besten bei circa 1000 fach beobachtbar.

[[Kohoutek 3-68]]: Kleiner, runder, strukturloser Nebel, der am besten bei 420 fach beobachtet werden kann. Der OIII lässt der Nebel komplett verschwinden. UHC funktioniert. Aber beste Sicht ohne Filter.

''NGC 2346'': Bei 65 fach ist vom Nebel nichts zu erahnen. Kann bis 420 fach vergrößert werden und es zeigt sich dann ein heller Zentralstern, der von einem diffusen fast runden Nebel umgeben wird. Zwei gegenüberliegende hellere Schalen. An einer der Kanten abgehende Fahne.

Zwischendurch als Check für das Seeing schaue ich mir Jupiter an. Bei 420 fach, ja genau, dass ist die Referenzvergrößerung, zeigt der Details, aber das geht noch besser. Das Seeing ist also wieder einen Ticken schlechter. Die Messungen der Teleskope sagen 0.4 (TNG), 0.6 (WHT) und 0.9 (MORADAS) arcsec. 

Jetzt mal was außerhalb der PN-Welt: M3.

''M3'': Schon mit bloßem Auge sichtbar. Bei 420 fach zeigt sich ein von der Grundform her runder lockerer Kugelsternhaufen. Zum Zentrum hin heller werdend. Zentrum besteht aus einem Dreieck aus helleren Sternen, die durch helle Einzelsterne flankiert werden. Der Haufen selbst ist durch dunklere Gebiete gekennzeichnet und von hellen Einzelsternen durchsetzt. Viele abgehende Arme durch Sternketten im Außenbereich. Erinnert ein wenig an M13.

[[Abell 36]]: Schon bei 65 fach und UHC-Filter ist ein diffuser Nebel um einen rechten Stern zu sehen. Südlich des Sterns erstreckt sich ein halb kreisförmige Bogen, der nördlich des Sterns durch eine Gerade abgeschlossen wird. Zur Mitte hin dunkler und nach Norden hin diffus auslaufend. UHC-Filter funktioniert gut. OIII aber noch besser.

So heute mache ich früher Schluss. Perfekte Nacht hier oben. SQM-L Messungen konnte ich keine machen. Gerät funktioniert nicht. Vermute, dass die Batterie leer ist. Visuell waren die Bedingungen ähnlich gut wie gestern.

[[<<Zurück zur vorherigen Nacht|27. Januar 2017 - La Palma]] | [[Weiter zur nächsten Nacht>>|29. Januar 2017 - La Palma]]

	

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Zwar konnte man gestern schon zwischen den Wolken ein paar Sachen sehen, aber tatsächlich ist es erst heute richtig klar. Die Wettervorhersage sagt zunächst erst einmal, dass es nur bis Mitternacht gehen soll, aber Kai ist guter Dinge, dass das die ganze Nacht hält.

Ich bin mit Ernst verabredet, der zunächst eigentlich hoch auf den Roque möchte, genauer gesagt an seinen „Spezialplatz“. Ich kann ihn dann schließlich überzeugen, auf Athos zu bleiben, denn ich gehe davon aus, dass es oben nicht Aufklaren wird. Dazu ist der Luftdruck einfach viel zu niedrig. Aber wir werden auch nicht nur zu zweit bleiben. Andreas stößt zu uns, der einige Tage in Hoya Grande im Nebel gesessen hat und jetzt endlich mal klaren Himmel zum Fotografieren braucht. 

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So sind wir am Ende zu dritt. Die Sonne steht tief und wir sind wieder mal überrascht, wie schnell sie am Ende doch untergeht. Auch die Dämmerung schreitet Mega schnell voran. 20 Uhr und ist es vollbracht. Es ist absolut dunkel und klar. Der Orion geht hinter dem Bergrücken auf. Sirius ist auch bald da. Alle haben aufgebaut und freuen sich auf die Nacht. Zunächst fotografieren wir alle, um die Stimmung einzufangen.

Erstes Objekt ist kurioserweise M42. Wunderbar! Direkt sind die farbigen Anteile erkennbar. Als Nächstes folgt NGC 1975/77. Die Nacht ist so geplant, dass ich einfach mal so herumschaue. Es folgen weitere Schaustücke: Der „Pferdekopfnebel“ und vorher der benachbarte „Flammennebel“. Letzterer erscheint mir sehr interessant und strukturiert. Der Pferdekopfnebel hingegen ist für Andreas zu schwach. Weiter geht es zum Rosettennebel.

Das Sternbild Löwe krabbelt hinter dem Bergrücken empor. Ich stelle das Triplet ein und schaue bei NGC 3628 vorbei. Ich glaube den schwachen Gezeitenschweif kurz zu sehen. 

![[NGC 2438]]

Immer wieder verquatschen wir uns. Später geht es in die Orangerie, um Kaffee zu machen. Ich mache den Barista, und so schlürfen wir zu früher Stunde jeder einen Kaffee. Ich fange schließlich mein erstes ernsthaftes Objekt diese Nacht an.

[[NGC 2438]]: Sehr heller und sehr klar definierter Nebel mitten im Offenen Sternaufen M46. Kann bis auf 610x vergrößert werden. Versuche noch einen UHC-Filter, aber der zeigt eigentlich nicht wirklich mehr. Schließlich kann ich einen ovalen Nebel erkennen, der wie gesagt einen sehr gut definierten Rand hat mit einem im Norden helleren Segment, das von zwei sternartigen Knoten (es sind tatsächlich sehr schwache Sterne 🌟 ) eingerahmt wird und dann nach Osten hin weiter gut definiert ist, bis er schließlich dunkler wird und in der östlichen Apsis kurz unterbrochen scheint, um dann wieder heller werdend nach Westen hin schließlich nachzulassen. Dieser Ringteil ist in der Mitte - wie gesagt - sehr gut definiert. Er ist von einer Art Schlauch aus diffusen Nebel umgeben. Nach Norden hin wird der Ring schwächer, zeigt aber wiederum an der nordwestlichen Apsis auf dem Ring einen helleren Knoten bzw. Fahne. Inneres ist mit schwachem Nebel gefüllt, wenngleich der Zentralstern sehr dunkel erscheint. Dort ist etwas dezentral ein recht heller Stern zu sehen und Richtung Südwesten ein weiterer schwächerer. Südlich des Paares taucht schließlich bei geduldiger Beobachtung - recht leicht - ein dritter Stern auf. In Verlängerung des Sternenpaares ist außerhalb des Nebelrandes, ganz knapp ein weiterer sehr schwacher Stern, zu erkennen. Seeing 1-2. 

NGC 2438 ist diesmal tatsächlich auch was für Andreas. Er kann den Nebel sehr gut erkennen. Das war nicht bei allen Objekten so.

Weiter geht es mit Galaxien: „Sombrerogalaxie“ und danach die „Antennengalaxien“. Alle sind begeistert!

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Langsam geht diese Nacht tatsächlich zu Ende. Der Himmel im Osten wird deutlich heller, was wohl vom Zodiakallicht kommt. Die Lichtbrücke ist ganz schwach gut zu erkennen. Den Gegenschein hatte Ernst bereits ein paar Stunden zuvor zwischen M44 und Regulus ausgemacht.

Um 5:30 Uhr erlöst uns der Mond, der zumindest laut ~SkySafari aufgehen soll. Der Himmel wird noch mal deutlich heller und alle sind mit dem Abbau beschäftigt. 

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Ich helfe Ernst noch das ganze Geraffel in sein Auto zu tragen und dann verabschieden wir uns. Eine sehr schöne Nacht mit zwei engagierten Sternfreunden geht schließlich zu Ende. Ich gehe noch mal kurz in die Orangerie und frühstücke, um dann schließlich um 7:00 Uhr glücklich ins Bett zu fallen.

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Windig und deshalb auch gefühlt kalt. Tatsächlich haben wir allerdings 10° C. Sehr klar mit sehr guter Transparenz. Tagsüber waren heute Wolken am Himmel zu sehen, die aber mit Einbruch der Nacht verschwunden sind. 

![[Henize 2-37]]

Kleiner Planetarischen Nebel, der bereits bei 100x als winziger Nebel erkennbar ist. Bei Steigerung der Vergrößerung auf 670x zeigt sich sofort ein Rauchring. Der Ring selbst wirkt unruhig, allerdings lässt er sich nur wenige Details entlocken. Daher nutze ich schließlich einen OIII-Filter und die ganze Sache sieht schon besser aus. Der Nebel reagiert recht stark und wird deutlich heller. Nun zeigen sich auch weitere Details. Zunächst zwei Knoten auf einer Seite und gegenüberliegend ein weiterer. Mittig scheint ein Nebelband den Ring zu teilen. Insgesamt ist der Nebel leicht oval, und auf einigen Teilsegmenten – abgesehen von den Knoten – etwas heller und dann wieder dunkler.

Ich mache eine kleine Pause und genieße die Aussicht mit dem Feldstecher vom Liegestuhl aus. Einfach fantastisch die südliche Milchstraße mit dem Feldstecher zu durchstreifen und immer wieder auf helle Sternhaufen und Milchstraßenwolken zu treffen. Wahrscheinlich ist der Feldstecher eh das beste Beobachtungsgerät überhaupt.

!Henize 3-404

Steht nicht mehr sehr hoch. Trotzdem versuche ich es. Leider kann ich anhand der Sternkarte im Zielgebiet die genaue Position nicht ausmachen und muss leider abbrechen. Ich versuche noch mit 454x das Zielgebiet zu durchstreifen, aber aufgrund der Größe des Objekts ein schwieriges Unterfangen. Ich breche schließlich ab und surfe weiter in der südlichen Milchstraße mit dem 25 Zoll Dobson.

![[Thackeray’s Globule in IC 2944]]

Innerhalb von IC  2944 befindet sich eine markante dunkle Globule, die am besten bei 178x beobachtbar ist. Wählt man höhere Vergrößerungen, ist der umgebende Nebel zu schwach und die Globule nicht sichtbar. Bei 178x wird sie aber gut sichtbar wenngleich sie nicht so kontrastreich zu erkennen ist, wie beispielsweise auf Fotografien. Trotzdem zeigt sich das Objekt recht einfach direkt an einem helleren Stern innerhalb des Sternhaufen. Das umliegende Sternfeld ist reich an hellen Sternen und Sterngruppen. Einige zeigen sich wie von Nebel umhüllt. Der Hintergrund im Sternfeld ist ebenfalls mit ganz schwachen Nebel versetzt. Nach einer kurzen Pause werden noch mal die Filter durchprobiert. Direkt am Objekt wirkt keiner. Der UHC zeigt allerdings abseits Nebelfelder. H-Beta bringt nichts.

Genussspechteln am Südhimmel. Omega Centauri und Centaurus A schaue ich mir genüsslich an.

21.9 im Grus. Sehr gute Bedingungen, wenngleich der Taupunkt schon wieder erreicht worden ist. Alles ist nass. Sehr ungewöhnlich für die Jahreszeit und den Ort.

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Mittlerweile sind 94 % relative Luftfeuchte erreicht. Sogar der massive Fangspiegel des 25 Zoll Dobson ist beschlagen. Ich bekomme ihn aber leicht mit ein wenig „Handwärme“ frei. Trotzdem extrem. Alles trieft, alles ist nass.

![[NGC 55]]

Ich mache weiter mit NGC 55. Echt schwierig die vielen Details zu sichten und aufs Papier zu bringen. Mathias ist dabei beschäftigt die Okulare in die Hütte zu bringen und aufzuwärmen. Anschließend macht er das gleiche mit dem Fangspiegel. Es ist 4:30 Uhr und bei mir ist jetzt auch Schluss. Mein Fangspiegel ist auch wieder dicht und als ich meine Rotlichtlampe anmache, verstehe ich warum. Beim atmen stoße ich Nebelwolken in die Luft, so dass es aussieht, als würde ich rauchen. Krass. Damit ich jetzt quasi gut weiter beobachten könnte, müsste ich aufhören zu atmen. Das ist natürlich unmöglich und deshalb ist jetzt hier heute einfach Schluss. Ich mache einen Cut und packe alles zusammen und komme so endlich mal wieder früh ins Bett. Mathias hält durch, denn er hat ja jetzt alles aufgewärmt. Mal sehen ob die Kiste noch die eine Stunde bei ihm hält. Tut sie.

Beim „Tafellager“ schreibe ich diese Zeilen und wärme mich am „Putin-Gasofen“.

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<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35006632956/in/datetaken-public/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4254/35006632956_2c58a48876_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Dokumentation der Beobachtung.</div>

Heute stört der Mond das erste Mal. Der Schlussspurt steht an. Es bleiben nur noch vier Nächte. Wieder in der LMC.

Ich beobachte zunächst den Mond. Mache auch ein paar Aufnahmen mit meiner Kompaktkamera, oder "Playstation", wie ein anderer Sternfreund scherzhaft sagt.

''LMC'': Neben NGC 1871 wird ein kleiner, separierter Nebelfetzen sichtbar, der sich um den Sternhaufen legt. Nur mit OIII einwandfrei zu sehen. Unterhalb von Theta Doradus ist sehr deutlich der kleine OS NGC 1895 zu sehen. Er ist bei 100 fach rund, ohne merkliche Konzentration zur Mitte hin und recht hell. Bei Steigerung der Vergrößerung auf 280 fach wird nahe des Zentrum ein Stern sichtbar. Bei geduldiger Beobachtung ein weiterer Stern im Außenbereich, später dann noch zwei weitere. Dito bei NGC 1905, der weniger als halb so groß ist, aber auch in Zentrumsnähe und im Außenbereich jeweils einen sichtbaren Einzelstern beherbergt. Beide sind nicht auflösbar. Weiterhin in der Nähe befindet sich NGC 1897, der noch kleiner ist und bei 280 fach blickweise im Zentrum einen Einzelstern zeigt. 1905 & 1895 weisen zudem eine Helligkeitszunahme zum Zentrum hin auf und wirken, abgesehen von den Einzelsternen, wie unaufgelöste KS im Feldstecher. 

Beim Setzen auf den Beobachtungsstuhl verrutscht dieser und fällt um. Ich falle nach hinten und finde mich auf dem Boden wieder. Zum Glück nix passiert. Bin ja mit den Winterklamotten gut gepolstert.

''NGC 6231'': Heller, lockerer OS, der schon mit bloßem Auge sichtbar ist. Bei 100 fach aufgelöst und sehr locker. Mehrere Dutzend weiße Sterne sind zu sehen. Die hellsten bilden die Form eines Pfeils. 

[[IC 4637]]: Muss ich kostbare Zeit opfern, um per Starhopping dahin zu kommen. Bei 100 fach ist der PN nämlich im Sternfeld nur schwierig auszumachen. Es zeigt sich dennoch an der richtigen Position ein winziger Nebel um einen Stern. Bei 670 fach zeigt sich ein diffuser, ovaler Nebel, der nach Süden hin heller erscheint und nach Osten abgeschnitten. Im Zentrum steht ein recht heller Stern, an dem nach Süden ein trichterförmiger, heller Nebelschweif abgeht, der schließlich am Ende, wenn er auf den diffusen Halo trifft, sichelförmig wird. Nach Norden setzt sich der Nebel als kurzer Strich hinter dem ZS fort. Insgesamt zeigt der PN im Innern ein kleines „Beil“, in dessen Zentrum der ZS steht, und der durch einen etwas asymmetrischen, schwachen Halo umgeben ist.

Gehe zum Kollegen rüber. Er zeigt mir den OS Westerlund 2, der obwohl relativ schwach, einer der leuchtkräftigsten OS der Milchstraße sein soll. Das SQM-L misst 21.86 im Zenit, Es ist -1 Grad Celsius kalt. 

''Westerlund 2'': Es zeigt sich eine Sternenkette aus 4-5 Sternen. Um diese herum zeigen sich weitere Sterne. Der OS liegt direkt neben dem hellsten Teilen von NGC 3247.

''IC 4628:'' Riesiger Nebel. Passt in das ein Grad große Gesichtsfeld. Form unregelmäßig, Grundform Sichelförmig. Umrisse aber teilweise ausgefranst. Reagiert sehr gut auf UHC. Dann wird der ohnehin helle Nebel nochmal heller und zeigt Struktuen wie hellere und dunklere Gebiete.

Vor der Kaffeepause gibt es M83. Das Seeing ist spitzenmäßig und so lassen sich in den Spiralarmen unglaublich viele Details erkennen. Die Galaxie kann bis auf 670 fach vergrößert werden, ohne das die Spiralarme absaufen. Dann zeigt sich das Zentrum dreieckig und neben dem Zentrum erscheint ein weiterer heller, sternartiger Knoten. Die abgehenden hellen Spiralarme zeigen weitere Details. Mich juckt es in den Fingern hier eine Zeichnung anzufangen, aber der Aufwand schreckt mich dann doch ab. Trotzdem eine sehr eindrucksvolle Beobachtung und ich freue mich, daß das Seeing sehr gut ist.

Nun geht es aber zur Kaffeepause bei den Astrofotografen. Dort meint jemand, daß ein Komet mit Namen Johnson zu sehen sei. ~SkySafari kennt einige. Der hellste ist C/2015 V2 (Johnson).

''C/2015 V2 (Johnson)'': Schon mit bloßem Auge indirekt sichtbar. Helligkeit lt. ~SkySafari 6.7 mag, was hinkommt. Es zeigt sich bei 100 fach eine runde Koma mit Helligkeitszunahme zum Zentrum hin und sternartigem Zentrum. Der Schweif lässt sich ca. ein Grad verfolgen. Wunderschön.

[[NGC 6818 - Little Gem Nebel|NGC 6818 - Little Gem Nebel mit 25 Zoll]]: Nord-Südlich ausgerichtet. Im Innern zeigt sich eine ovale Nebelschale, die im Norden und Süden unterbrochen ist. Darüber hinaus auch im Südosten, wobei ein heller Knoten das Ende markiert. Nach einer Unterbrechung im Süden kommt ein schwacher Nebelfleck und markiert das Ende der östlichen Nebelschale. Die westliche Schale ist im Norden heller und schwächt sich nach Süden zur Mitte hin ab, um dann wieder stärker zu werden und diffus nach innen und außen auszubrechen. Das Ende der westlichen Schale im Süden markiert auch hier ein diffuser Nebelfleck. Im Norden erscheint bei indirekter Beobachtung immer wieder der Ring geschlossen, was er aber nicht ist. Stattdessen täuscht eine diffuse, versetzte Nebelbrücke als Bestandteil des Halos diesen Eindruck offenbar vor. Der Halo hat im Gegensatz zu der inneren Nebelschale nur eine leicht ovale bzw. fast runde Form. Im Zentrum ist nur wenige Male indirekt kurz aufblitzend der ZS zu sehen.

Anschließend stelle ich ''Saturn'' ein. Das Seeing ist fast sehr gut, aber nicht perfekt. Saturn zittert leicht mit höherer Frequenz. Trotzdem ist die Cassini Teilung und ansatzweise die Encke-Teilung zu sehen. Es zeigen sich deutlich zwei Wolkenbänder mit unterschiedlicher Helligkeit. Dabei dominiert ein dunkleres Wolkenbank bis zum Pol; etwa ein Drittel der Oberfläche zum Äquator hin. Dort grenzt - relativ scharf abgegrenzt - ein helleres Wolkenband an, dass bis zu den Ringen reicht, die den anderen Pol komplett verdecken.

[[NGC 7009 - Saturnnebel]]: Bei sehr gutem Seeing wird sofort ein sehr komplexes Objekt sichtbar. Um den ZS verläuft in O-W- Richtung eine leicht geschwungene und in die Länge gezogene Ellipse als hellste Nebelschale. 90 Grad versetzt bis N-S verläuft eine weitere schwächere Schale mit helleren Knoten an den Enden bzw. abgehende Fahne im Süden. Sie grenzt auch an eine weitere z.T. diffuse Nebelschale, die den Nebel insgesamt begrenzt. Die Form elliptisch mit der langen Achse in O-W Richtung. Zeigt an bestimmten Stellen hellere Segmente. Insgesamt hüllt sie den Nebel in einen diffusen Glow.  Die beiden inneren Schalen scheinen sich zu kreuzen und an den Kreuzungspunkten zeigen sich z.T. hellere Knoten. Außerhalb des Nebels zeigen sich hellere Ansen, die deutlich von der äusseren Nebelschale separiert sind. Sie scheinen über eine dünne Nebelbrücke mit der äußeren Schale verbunden zu sein. 

Ich bekomme wieder Besuch von den Astrofotografen. Ich zeige den Saturnnebel und alle sind begeistert. Das Seeing wird bereits - wie fast jede Nacht - etwa eine Stunde vor Ende der Nacht - schlechter. So auch jetzt. Es ist erstaunlich, wie die Details des Nebels beginnen zu verschwimmen und der ZS verschwindet. Die Wirkung des Seeings ist einfach brutal.

Die letzte Stunde verbringe ich in der SMC.

''SMC'': Startpunkt ist der KS NGC 362. Von dort aus stößt man in etwa einem Grad Entfernung auf den OS NGC 361, der rund mit einem hellem Stern in der Mitte ist. Etwa wieder ein Grad entfernt trifft man auf NGC 411, ebenfalls ein OS, der nur viel kleiner ist und bei 270 fach sind beide im Zentrum grießig. Unweit entfernt trifft man auf IC 1641 & NGC 422, ebenfalls zwei offene Sternhaufen. Sie umgibt ein diffuses Glimmen, dass sich bei Verwendung eines UHC-Filters verstärkt. Jetzt rückt auch ein größerer, lockerer und relativ auffälliger OS ins Gesichtsfeld. Es handelt sich um NGC 395. Seine Form ist unregelmäßig und er zerfällt in Zentrumsnähe in i.W. zwei unterschiedliche große Teilhaufen. Bei dem kleineren handelt es sich lt. Atlas um den eigenständigen OS IC 1624. In direkter Nachbarschaft befindet sich NGC 371, einem hellen, runden, recht großen, kompakten OS. Eine helle Sternkette kreuzt sein Zentrum. Weiter südlich findet sich der helle Nebel NGC 346, der wie ein Propeller aussieht. Im Zentrum sind etwa ein Dutzend Sterne zu erkennen. Er könnte auch aufgrund seiner Form als Balkenspirale durchgehen. Der Balken ist deutlich heller als die Ausläufer.

Die Nacht ist wieder rum. Kalt ist es mit -3 Grad Celsius. Zweite Nacht mit gutem Seeing. 

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Airglow überzieht den gesamten Himmel. Links das Abendzodiakallicht.

[[<<Zurück zur vorherigen Nacht|27. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|29. Mai 2017 - Tivoli Astrofarm]]

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Vierte Nacht. Umstellung auf den Nachtrhythmus habe ich jetzt hin bekommen. Dennoch ist während des Aufenthalts nicht an ausreichend Schlaf zu denken. Leider. Die Nächte werden jetzt deutlich länger. 

<div class="tc-link-info-item-medium" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/1w9VTk" title="DSC01755_flatted"><img src="https://live.staticflickr.com/65535/48133077197_5629a75134_h.jpg"></a>Mathias beim Beobachten und Zeichnen.</div>

Um 20:36 Uhr steht ein Doppeltransit der Jupitermonde Ganymed und anschließend Io an. Ende ist gegen 02:00 Uhr.

Erstes Objekt ist Thor‘s Helm: Wunderbar bei 278 fach und OIII. Habe noch eine Zeichnung vom Januar im Heft mit 14 Zoll, die jetzt mit weiteren Details „gepimpt“ wird. Dann ein Geist von einem Nebel:

[[Sanduleak 2-21|Sanduleak 2-21 mit 25 Zoll]]: Leicht ovaler Nebel in unmittelbarer Nähe zu einem sehr hellen Stern. Kann bis auf 670 fach vergrößert werden. Ist dann aber fast zu dunkel. Reagiert auf OIII. Längere Kanten etwas heller, wobei schwer wahrnehmbar. Knoten, der mit OIII besser zu sehen ist am westlichen Ende der Schale. Inneres gefüllt mit Nebel. Kein ZS.

SQM-L 22.0. 

''NGC 3603'': Heller, ausgefranster Nebel mit eingebettetem hellen sehr kompakten OS. Sieht bei 670 fast wie ein KS aus. Ist dann vollständig aufgelöst, wenn er auch sehr kompakt bleibt. Außerhalb ein Emissionsnebel, der auf sehr gut auf UHC reagiert. 

[[Henize 2-104 (PNG 315.4+9.4) ]]:  Schon bei 100 fach als kleiner, stellarer Nebelknoten erkennbar. Bei 670 fach zeigt sich ein kleiner Stern mit einem ihn umgebenen kreisförmigen Halo und zwei symmetrischen Halbschalen, die in geringem Abstand stehen. Nach Süden und Norden abgehende Antennen, wobei die nach Norden unscheinbar ist, die nach Süden prominenter. Kommt auf Wiedervorlage morgen.

!!Meanwhile on Earth...

[[Hoffleit 38]]: Hufeisenförmiger Nebel. Schwach bei 670 fach aber eindeutig im Sternfeld erkennbar. Liegt in prominenter Umgebung zu Eta Carinae. Hellere nördliche Kante. 

Ich nutze für Beobachtungen und Planung ~SkySafari. Dort werden bei mittleren bis hohen Vergrößerungen bei Transiten die Monde als weiße, sternförmige Objekte simuliert, was absolut korrekt ist.  

Zuerst zieht Ganymed vor dem Planeten vorbei. Dann Io. Es ist immer Io! 🤔

<div class="tc-link-info-item-medium" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/x1T67q" title="Jupiter vom 06.06.2018"><img src="https://live.staticflickr.com/65535/48222187357_07f4375e7e_h.jpg" alt="Jupiter vom 06.06.2018"></a>Jupiter mit Ganymed und Io. Einzelaufnahme mit Sony A6000 und Baader FFC bei perfektem Seeing.</div>

''Ganymed'': Der Schatten steht fast mittig und ist gut zu sehen. Das Seeing ist gut aber nicht Top. Daher gehen wir nur auf 450 fach. Dann kommt der Mond an den Rand des Riesenplaneten und ist als kleiner weißer Punkt, ähnlich einem Tropfen, knapp neben Jupiter zu sehen. Da uns Jupiter arg blendet nutze ich einen Graufilter. Klappt gut. Schließlich ist der Mond vor dem Jupiterscheibchen und nur noch schwer auszumachen. Dennoch gelingt eine Sichtung, wenn man weiß wo er steht. Außer einem weißen Fleckchen ist nichts großartig zu erkennen. Der große rote Fleck steht ebenfalls vor seinem Transit. Dottergelb ist er, mit einer abgesetzten Schleppe. Nord und südlich der Äquatorbänder sind hingegen kaum Strukturen auszumachen.

Beim nächsten Nebel gab es von mir selbst gestiftete Verwirrung. Hatte gedacht ich habe wie in ~SkySafari ausgewiesen Stephenson 1 vor der Linse. Ist aber nicht so. Es ist Shapley 1.

[[Shapley 1]]: Heller Rauchring schon bei 100 fach. Heller ZS zu erkennen. Mittig dunkler, aber mit feinem, kaum wahrnehmbaren Nebel. Westseite deutlich heller. Östlich auf dem Rand ist ein Stern zu erkennen. 

''Io'': Io mit Schatten steht vor der Jupiterscheibe in Äquatornähe. Der Schatten von Ganymed ist schon weg und Ganymed verlässt wieder die Jupiterscheibe. Absolut beeindruckend und wunderschön anzuschauen.

Habe auch versucht durch den Dobson zu fotografieren. Ging leider nicht so gut. Ganymed ist aber knapp neben der Jupiterscheibe zu erkennen und der Schatten (schwarzer Punkt) auf Jupiter selbst.

[[NGC 6769/70/71 - Teufelsmaske]]: Im 25 Zoll Dobson zeigt sich NGC 6771 als langgezogenes "S" mit hellem, länglichen Zentrum. NGC 6769 ist bei 454x klar als Balkenspiralgalaxie mit sternartigem Zentrum und hellen Balken erkennbar und wird von einem elliptischen Arm umgeben, der diffus ausläuft. Am südöstlichen Ende, etwas abgesetzt, diffuser Knoten. NGC 6970 zeigt sich mit hellem, aber diffusen Kern und mit kurzem Balken. Östlich steht ein recht heller Stern. Dort beginnt auch ein heller, elliptischer Spiralarm, der die Balkenenden nach Norden verbindet. Nach Süden Zeigt sich ein diffuser Gezeitenschweif und verbindet NGC 6769 & 70, der nach Südwesten auf den Knoten von NGC 6769 zeigt und diesen zu berühren scheint.

Um 02:38 Uhr geht der Mond auf. Plötzlich setzt Wind ein. Und nicht zu knapp. Mit jetzt +8° Celsius sehr angenehm.

[[<<Zurück zur vorangegangenen Nacht|27. Mai 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|29. Mai 2019 - Tivoli Astrofarm]]

Stehe erst gegen Nachmittag auf. Das Wetter ist phänomenal. Nach dem zweiten Mittagsschlaf zeigen sich aber auf dem Roque Wolken. Sind Quellwolken und ich gehe davon aus, dass sie wieder verschwinden. 

!!!Gecko im Glas

Beim Frühstück greife ich zum offenen Honigglas und musste feststellen, dass mein Untermieter, der Gecko im Glas um sein Leben rang. Ich befreite ihn aus seiner misslichen Lage, in dem ich ihn mit dem Honig ausgoss. Ich machte davon natürlich kein Foto, sondern kümmerte mich in höchster Not um ihn. Zunächst machte er den Anschein, dass er seinen Ausflug nicht gut überstanden hatte. Aber nach einer kalten Dusche flitzt er von dannen.

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Wieder windstill und sehr klar. Nahezu perfektes Seeing.

__[[UGC 5373 - Sextans B]]__: Ovale Galaxie ohne erkennbare Helligkeitszunahme zum Zentrum hin. Direkt südlich auf einem schwachen Stern aufsitzend. Westlich direkt auf dem Galaxienrand aufsitzend kleiner Knoten, der über den diffus auslaufenden Galaxienkörper herausragt. Befindet sich direkt gegenüber dem schwachen Stern. UHC-Filter lässt die Galaxie nahezu verschwinden, der Knoten bleibt allerdings sichtbar. Jedoch insgesamt besser ohne Filter zu sehen. Scheint sich deshalb nicht um eine HII-Region zu handeln.

__[[HCG 44]]__: Es handelt sich um eine spindelförmige langgezogene Galaxie mit hellen, länglichen Zentrum. Parallel zum Galaxienkörper zeigt sich bei 420 facher Vergrößerung ein zartes Staubband mit Helligkeitszunahme in westlicher Richtung nicht direkt gegenüber den Zentrum liegend. NGC 3185 zeigt sich mit sternartigem Zentrum und leicht oval. Weist eine Helligkeitszunahme zum Zentrum hin auf und läuft diffus aus. NGC 3187 ist zigarrenförmig ohne Helligkeitszunahme zum Zentrum hin. NGC 3193 ist eine kleine, runde Galaxie mit deutlicher Helligkeitszunahme zum Zentrum hin, jedoch ohne sternartigem Zentrum. Sie ist die zweithellste Galaxie dieses Quartetts. Beobachtung bei 420 fach. Wird die Vergrößerung auf 168 fach reduziert, so erscheinen alle Galaxien als helle Objekte in einem Gesichtsfeld. Alle Galaxien außer NGC 3187 haben dann helle sternartige Zentren. Es lohnt sich trotzdem hier hoch zu vergrößern. Insbesondere wenn man das Staubband von NGC 3190 sichten möchte.

Heute ist schon einiges los. Des Öfteren kommen Autos vorbei und soeben hielt eines etwa 50 m von mir. Es wird mit Weißlicht herum gefuchtelt, aber nach 10 Minuten ist es schließlich dunkel und ruhig. Die Kollegen bleiben bis etwa 3:00 Uhr nachts und stören kaum. Trotzdem muss festgestellt werden, dass der Autoverkehr hier oben im Verhältnis zu früher deutlich zugenommen hat. So trifft man hier häufig bis Mitternacht und auch danach vorbeifahrende Fahrzeuge an. Sobald das Centro de Visitantes (Besucherzentrum) fertig gestellt ist, ist davon auszugehen, dass hier oben nachts kaum mehr mit Ruhe gerechnet werden kann. Alternative Plätze werden dann wichtiger, wie zum Beispiel die Weinberge über Puntagorda oder Llanos de las Animas.

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__[[NGC 3718]]__: Bei 65 fach zeigt sich zunächst eine diffuse, ovale Galaxie. Bei Steigerung der Vergrößerung auf 168 fach wird ein helleres Zentrum mit zwei Knoten sichtbar. Etwas abseits ein Vordergrundstern. Bei Steigerung der Vergrößerung auf circa 420 fach wird das Staubband blickweise immer wieder sichtbar. Abseits der Knoten im Zentrum zeigt die Galaxie einen ausgeprägten, helleren Bulge, der für sich genommen oval ist. Zu beiden Seiten zangenförmig auslaufend, wobei nach Norden hin zusätzlich abgehender Arm. Dazu ist es besser schwach zu vergrößern, zum Beispiel 114 fach.

__[[HCG 56]]__: Bei 114 fach kaum zu erkennen. Bei Steigerung der Vergrößerung auf 290 fach wird zunächst UGC6527 beziehungsweise die B Komponente relativ einfach sichtbar. Sternförmiges Zentrum und langgezogener spindelförmiger, leicht gebogener Galaxienkörper hin zu Komponente C, die winzig ist mit sternförmigem Zentrum. Dahinter fast auf einer Linie folgt die Komponente, die etwas schwächer und ebenfalls sehr klein ist. In direkter Nähe, auf einer Linie dann D, die etwas schwächer ist. Etwas abseits dieser Dreierkette folgt dann schließlich E (PGC 35609). Die Kette erinnert mich irgendwie an HCG 55. Wobei diese hier ist deutlich einfacher zu sehen. Die Komponente A (PC 35631) ist am schwierigsten zu erkennen. Sie zeigt sich als Spindel mit leicht hellerem, runden Zentrum. Letzteres ist aber unsicher, da nur hin und wieder erahnt.

SQM-L 21.96. Das Seeing ist gut aber nicht sehr gut.

__[[NGC 4631 - Walfisch Galaxie]]__: Sehr hell und sehr große, lang gestreckte Galaxie. Nahe dem Zentrum, außerhalb des Galaxienkörpers, ist ein schwacher Vordergrundstern sichtbar. Weiter abseits ovale Galaxie NGC 4627 mit leichter Helligkeitszunahme zum Zentrum hin. Im Zentrum zeigt sich eine Helligkeitsformation die an eingedrungenes "U" erinnert. Am östlichen Ende zeigt sich eine stellare Aufhellung. Vergrößert man diese weiter auf 420 fach, werden circa drei Einzelknoten sichtbar, die etwa gleich hell sind. Im westlichen Teil der Galaxie liegen verschiedene Knoten mittig auf der Achse. Im östlichen Teil liegen die helleren Abschnitte hingegen am Rand des Galaxienkörpers.
 Hier zeigt der Galaxienkörper an seinem einen Ende einen Wulst. Beobachtung überwiegend bei 290 fach, sowie für Details bei 420 fach.

SQM-L 21.96. Die ganze Zeit schon zogen Wolken von Südwesten über den Nordhorizont durch.
 Nun scheint aber der Wind zu drehen und sie kommen aus Norden zurück und in wenigen Minuten haben sie praktisch den gesamten Himmel bedeckt. Ich bin darüber nicht besonders unglücklich, denn ich bin mittlerweile ziemlich müde. Ich packe meine Sachen zusammen und gegen 4:30 Uhr baue ich ab.

[[<<Zurück zur vorangegangenen Nacht|27. März 2017 - La Palma]] | [[Weiter zur nächsten Nacht >>|31. März 2017 - La Palma]]

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/31194451822/in/datetaken/" title="Wintermilchstraße Wasserkuppe"><img src="https://live.staticflickr.com/5626/31194451822_712a68e63f_h.jpg" alt="Wintermilchstraße Wasserkuppe"></a>Außergewöhnlich gut erkennbare Wintermilchstraße von der Wasserkuppe aus.</div>

Wasserkuppe. Bin kurz nach Sonnenuntergang da. Kann einen hervorragenden Erdschatten aufgehen sehen. Unglaublich. Habe für zwei Nächte hier ein Hotel. Einchecken. Und dann zum Platz. Es ist kalt. Und es soll die Nacht noch viel kälter werden. Die Kälte an sich ist nicht das Problem. Eher die hohe Luftfeuchte. 

!!!Die Bedingungen sind außergewöhnlich. Im Schnitt 21.5 in Zenitnähe. Sehr gute Werte. 

Zu Beginn der astronomischen Dämmerung um 18:20 Uhr bin ich bereit. Objekte sind vorbereitet. Ich starte mit einem Sommerklassiker. M71.

__[[M71]]__: Schon bei 65 fach fast vollständig aufgelöst. Mit hellerem Stern im Zentrum. Form dreickig. Bei 114 fach komplett aufgelöst. Helles Lot im Zentrum des Dreiecks markiert einen Balken. Fast Ost-West orientiert.

Dann plötzlich ein Wagen. Er wendet und kommt näher. Jemand steigt aus. Stellt sich als Mathias vor. Ah, Mathias!!!! Schon viel im Netz kommuniziert, aber nie getroffen. Ok. Ihn vertrieb der Wind, der aus NO gut bläst. Ich habe mich hier hinter einer Halle verschanzt. Später dreht er auf O uns SO. Mathias baut auf und ich beschäftige mich mit Sh2-84. Befindet sich ebenfalls im Sternbild Pfeil.

''__[[Sh2-84]]__:'' Bei 114 fach und OIII recht gut erkennbar. Erdnuss- bzw. leicht V-förmig und recht groß. SQM-L 21.46.

Matthias hat aufgebaut. Ein 18 Zöller. Wir quatschen ein wenig und dann geht es weiter.

''__[[Stephan's Quintett|Stephan's Quintett mit 14 Zoll]]__:'' NGC 7317 ist am einfachsten zu erkennen. Recht klein mit hellem Zentrum und leicht oval. Es folgen 7318 A & B. Dann 7320 mit heller sternförmiger Komponente, die heller als 7318 ist. Andere Komponente länglich mit leichter Helligkeitszunahme zum Zentrum  hin. Diffus. 7319 am schwächsten und und mit kaum wahrnehmbarer Helligkeitszunahme zum Zentrum hin. 290 fach.

-8°Celsius und lt. Wetterstation Wasserkuppe leicht über 90% Luftfeuchte. Und es ist bitter kalt. Bitter! Bin schon ganz fix und foxi. Weiter geht's.

''__[[Abell 75]]__:'' Schon bei 65 fach und ohne Filter schon recht gut als runder diffuser Nebelball erkennbar. OIII wirkt nicht. UHC hingegen gut. Kann bis auf 290 fach vergrößert werden. Dann zeigt sich ein ovaler, halbkreisförmiger Bogen, der Ost-Westlich ausgerichtet ist.

Wetterstation zeigt bis Mitternacht leichte Zirrusbewölkung an. Zu sehen ist, bis auf eine Bank, die aber im Abstand an uns vorbeizieht, nichts. Scheint aber was durchzuziehen, da hin und wieder hellere Himmelsabschnitte etwas zu erahnen lassen. Matthias bemerkt, dass ich in ein, zwei Tagen liefern muss: Das Deep Sky Objekt des Monats! Ich verrate, dass es Barnard's Loop sein wird und das ich versuchen werde diesen heute Nacht zu beobachten. Matthias schließt sich an und so kramen wir unsere identischen Filter raus und versuchen uns. 

''Barnard's Loop:'' Am Besten einäugig mit H-Beta Filter. Dann wird ein 90° gebogener Nebel sichtbar, der auf Höhe der Gürtelsterne beginnt und sich um sie herumbiegt. Dabei wird auf 45° der hellste gebogene Teil gut sichtbar. Mit UHC auch zu erahnen, aber mit H-Beta deutlich besser. Wir machen beide immer wieder kurze Pausen. Und der Nebel ist immer wieder gut zu sehen.

Anschließend versuche ich den Gegenschein zu erkennen. Wir sind aber zunächst an der falschen Stelle unterwegs und lassen uns kurz täuschen. Dann wird er aber doch sicher neben der Wintermilchstraße sichtbar. Bildet mit den Hyaden und den Plejaden ein schönes Dreieck. Dann schauen wir nach M33. Auch zu erkennen. M35 ist leicht.

Wenn es nur nicht so kalt und feucht wäre! Mit Widerwillen geht es weiter. 

''__[[Abell 12]]__:'' Mit OIII und bei 290 facher Vergrößerung eindeutig als Ring zu erkennen. Matthias bestätigt.

''__[[Jones-Embersen 1]]__:'' Bei 65 fach und OIII Filter recht einfach erkennbar. Bei 114 fach auch. Sieht wirklich aus wie ein Kopfhörer, d.h. runder Nebel mit gegenüberliegenden Knoten, der sich halbkreisförmig erstreckt. Bei 65 fach und geduldiger Beobachtung scheint sich der Nebel auf der anderen Seite fortzusetzen, so dass sich ein geschlossener runder Nebel zeigt.

''__[[NGC 2146]]__:'' Recht helle Galaxie, die bis 290 fach ohne Probleme vergrößert werden kann. Dann wird auch nahe des Zentrums ein diffuses Dunkelband sichtbar, dass das Zentrum asymmetrisch teilt. Enden diffus auslaufend.

Matthias stellt den Spirographennebel ein. Schönes Objekt.

''C/2016 U1 (NEOWISE):'' Bei 65 fach schwach und diffus zu erkennen. Insgesamt recht schwierig. Kaum zu finden, wenn man die genaue Position nicht kennt. Rund und mit leichter Helligkeitszunahme zum Zentrum hin. Schön!

Jetzt ist es vier. Wir vetreten uns die Beine und bewundern wie häufig in dieser Nacht den genialen Himmel. Der Löwe steht vor dem Durchgang. Ich bin mittlerweile komplett durchgefroren. Und damit meine ich die Hände und das allgemeine Kältegefühl, das sich durch die Kleidung frisst. Matthias hält noch ein Highlight bereit Palomar 2. 

''Palomar 2:'' Schaue ich mir in seinem Gerät an. Etwas hin und her, da mir die Orientierung fehlt. Dann klappt es. Rund und mit der für Kugelsternhaufen typischen Helligkeitszunahme zum Zentrum hin. Direkt neben einem Stern. Keine Einzelsterne. Einfach!

Ist auch einfacher als NEOWISE in meinem Gerät. Nochmal ein schönes Aha-Erlebnis. Ich beschließe zusammen zu packen. Zwar kann man noch etwas mehr als eine Stunde beobachten. Aber mir reicht's. Zum Glück ist es nicht weit bis zum Hotel.

[[Weiter zur nächsten Nacht>>|29. November 2016 - Wasserkuppe]]

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Afokale Aufnahme mit Sony RX 100 III, 1/4 sec bei 6400 ASA durch ein Pentax SDHF 75 und 40mm Pentax XL Okular
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Mondfinsternis vom 09.11.2003 durch einen TMB 100/800 auf GP/DX und Baader FFC auf 120er Negativfilm. Nachgeführt mit Mondgeschwindigkeit.
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Um 03:45 Uhr den Wecker gestellt. Dann direkt aus dem Wohnzimmer geschaut. Wow!!! Der Kernschatten zog bereits über die Mondoberfläche hinweg. Im Feldstecher sieht alles wunderbar aus. Geplant ist auf eine Wiese, ca. 1 km entfernt, zu beobachten. Aber das sieht doch hier aus dem Wohnzimmer auch gut aus. Zumindest für eine halbe Stunde. Dann verschwindet der Mond wohl hinter einem Gebäude.

Es wird der vorbereitete Dreizöller auf das Fotostativ gesetzt. Bei 12 facher Vergrößerung ist alles schon zu erkennen. Der Mond hant sich dunkelrot eingefärbt. Um den Krater Aristoteles ist es noch deutlich heller.

Zum Rausfahren habe ich jetzt eigentlich keine Lust mehr. So beobachte ich ca. eine halbe Stunde die fortschreitende Finsternis bis der Mond dann hinter einem Gebäude verschwindet. Anschließend wieder ins warme Bett.

Erstaunlich mit welch einfacher Technik bzw. Kamera heute Mondfotos möglich sind. Die Aufnahme durch den Dreizöller erfolgte afokal mit einer Kompaktkamera, wobei ich freihändig fotografiert habe. Dabei erfolgte keinerlei Nachführung.

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Nach einem Ruhetag wegen Wolken, geht es heute weiter. Heute morgen bin ich früh aufgestanden und habe eine Tour durch die Sierra mit dem Auto gemacht. An meinem Stammplatz war kein durchkommen, da der festgefrorene Schnee kein Fortkommen möglich machte. So vertreibe ich mir die Zeit und bin erstaunt, dass Plätze, die ich zwei Tage zuvor besucht hatte mittlerweile komplett schneefrei sind. Von der Passstraße grüßt eindrucksvoll die Sierra Nevada. Südwind ist angekündigt, was schlechtes Seeing bedeutet.

Am aktuellen Platz ist es wie immer windstill. Aber ich habe keinen Bock mehr darauf in der Inversionsschicht zu sitzen. So fahre ich zum Puerto del Pinar weiter, wo im November 2011 alles begann. Ich habe mir dort eine halbe Nacht um die Ohren geschlagen, bewaffnet nur mit einem Feldstecher und einem dünnen Schlafsack. Es war ein Desaster. Total durchgefroren musste ich gegen 23 Uhr abbrechen und das Hotel aufsuchen.

Nun bin ich wieder hier. Es ist windstill und als die Nacht hereinbricht sehr, sehr klar. Nur die vorbeifahrenden Autos stören ein wenig. Da es ungewöhnlich transparent ist, beginne ich ein Pano zu schießen. Anschließend wird das erste Objekt angefahren.

''Venus:'' Sehr, sehr hell. Halbvenus. Spektakulärer Anblick.

__[[NGC 247]]__: Auf den ersten Blick unspektakulär, wenn man NGC 253 in der Nähe kennt. Bei genauer Beobachtung ändert sich das. Zunächst zeigt sich bei 168 fach ein diffuses Zentrum mit abgehenden ganz leichten S-förmigen Armen. Bei weiterer geduldiger Beobachtung schließlich auch verschiedene Knoten, die sich hauptsächlich außerhalb des hellen Galaxiekörpers zu befinden scheinen. Bei genauer Betrachtung befinden sie sich aber lediglich in den schwachen Außenbereichen. Nach Süden hin ist die Galaxie deutlich heller. Nach Norden schwach und diffus auslaufend. Vergrößerung 168 und 290 fach.

Ein auf den ersten Blick wenig lohnendes Objekt. Auf den zweiten unglaublich Detailreich.

__[[NGC 1300]]__: Schöne Balkenspirale. Beide an den Balken ansetzende Spiralarme sind an dieser Stelle hell, wobei der nördliche deutlich heller noch ist. Zeigt 3-4 Knoten am Ansatz und wird dann deutlich schwächer und am Ende wieder heller. Der südlicher Spiralarm ist auf seiner Länge besser zu verfolgen und hat einen hellen Knoten etwa in der Mitte. Nördlich des Zentrums schwacher Vordergrund Stern. Am Ende des nördlichen Spiralarms zwischen diesem und dem Balken kleiner diffuser Nebel zu erkennen. Ein weiterer Spiralarm ?

Das Seeing ist in der Tat nicht besonders. Aber transparent ist es. 21.82 werden im Zenit und Achtung! knapp über Polaris gemessen. Das ist sehr erstaunlich. Später geben die Werte nach, was auch zu den Angaben der Calar Alto Wetterstation passt, wo der Cloud Index von -58 auf -48 ansteigt.

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__[[Eridanus Cluster]]__: Zwischen zwei schwachen Sternen wird bei 65 fach ein kleiner Nebelball sichtbar. Bei 168 fach zeigt sich im Zentrum schätzungsweise 2-3 einzelne Sterne, die bei gutem Seeing deutlich und sicher aufblitzen.

__[[HCG 30]]__: Bei 65 facher Vergrößerung wird die Komponente A bereits direkt neben einem helleren Stern sichtbar. Bei 168 fach ist dann auch B einfach zu sehen, dann die beiden weiteren Komponenten C und D. A und B sind länglich und hell. C und D hingegen klein und rund mit Helligkeitszunahme zum Zentrum hin. Keine der Komponenten zeigt ein sternartiges Zentrum.

__[[NGC 1637]]__: Steht in unmittelbarer Nähe zu HCG 30. Zufällig gefunden. Sehr interessante Galaxie. Bei 168 fach zeigt sich eine ovale, recht große Galaxie. Zentrum hell und diffus. Abgehende kurze Spiralarme Nord- und Südlich. Südlicher Arm windet sich einmal um das Zentrum mit hellerem Teil im Norden.

__[[HCG 31]]__: Zwei offenbar interagierende Galaxien (NGC 1741A und B). Es zeigen sich zwei Galaxien, die sich zu "berühren" scheinen. Die eine hell und länglich, die zweite etwas schmaler und dunkler, die schwächer werdend offenbar einen Bogen macht und dort einen hellen Knoten zeigt. Ein Gezeitenschweif? Nordöstlich weitere zigarrenförmige Galaxie. Darüber hinaus ist etwas abseits IC 399 als kleine runde Galaxie zu sehen.

__[[NGC 1788]]__: Heller Reflexionsnebel im Sternbild Orion. Bei 290 fach zeigt sich ein komplexer Nebel. Im Nebel sind einige Sterne vorhanden und es zeigen sich einige Knoten und Strukturen, sowie ein Bogen. Sehr komplexes Objekt, was sich erst nach geduldiger Beobachtung erschließt.

Wind kommt auf und nicht zu knapp. Das Seeing bricht total ein. Südwind halt. Ich beschließe für heute Schluß zu machen, denn morgen soll es kein Wind geben. Vor dem Dorf sehe ich am Straßenrand Wildschweine. Eine Bache und zwei Jungen. Als ich  weiter durch's Dorf fahre, sehe ich wie ein Fuchs die Straße gerade überquert hat und im Dorf verschwindet. 

[[<<Zurück zur vorangegangenen Nacht|27. Dezember 2016 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht>>|30. Dezember 2016 - Pinar de Araceli]]

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La Muela de San Juan ist ein Tafelberg im Alto Tajo auf ca. 1900m üNN. Zu seinen Füßen liegt das Dorf Griegos. Nein wir sind nicht in Griechenland, sondern im Iberischen Gebirge im Nordosten Spaniens. Es ist im übrigen das in Spanien am zweithöchsten gelegene Dorf mit ca. 1600m üNN. 

!!Telefonische Reservierung...

Mit der telefonischen Reservierung war es so eine Sache. Beim ersten Anruf gegen Vormittag keine Reaktion. Am Nachmittag dann kein Problem bzw. die Ankündigung, dass man eigentlich die Reservierungsbestätigung für den Jahreswechsel inklusive dem Abendessen an Silvester erwarte. Ok, erstmal nicht willkommen. Ich erkläre, dass ich Hobbyastronom bin und an Silvester beobachten werde. Schweigen. Dann biete ich an, am folgenden Tag zur selben Zeit wieder anzurufen, was für große Erleichterung am anderen Ende der Leitung sorgt. Ich frage noch schnell, ob auf der „Muela de San Juan“ nachts irgendeine Beleuchtung an ist. Dies wird verneint und gleichzeitig erklärt, dass alle Leute, die Sterne gucken wollen, da hoch gehen. Und falls ich Licht benötige, müsste ich das von meinem Auto benutzen. Das klingt gut. Ich war zwar im letzten Sommer schon mal da und da war nix von Außenbeleuchtung zu sehen. Als ich aber neulich bei ~GoogleMaps nachschaute, war da noch eine (dysfunktionale) Stadionbeleuchtung zu sehen. Auf meinen Fotos vom Sommer waren diese aber nicht mehr zu sehen und die Auskunft der Wirtin passt dazu. Denn nix wär ärgerlicher, als vom Dorf wieder auf den nächsten Berg in [[Orea|Alto Tajo]] fahren zu müssen. Ich hatte diesen Platz ausgesucht, da er asphaltiert ist, eine gute Horizontsicht bietet und die Unterkunft in 10min mit dem Auto erreichbar ist. Also bequem. In Orea muss man eine 20 min Fahrt über eine Schotterpiste in Kauf nehmen. Das mag ich nicht so.

Tags drauf rufe ich wieder an. Kein Thema. Jetzt bin ich offenbar willkommen. Ich reserviere und freue mich auf den nächsten Tag.

!!In Zweieinhalb Stunden von Valencia aus erreichbar

Am 29. Dezember geht es schließlich los. Das Javalambre Observatorium liegt auf dem Weg und mit Hin- und Rückweg von dort nur ein einstündiger Umweg. Machen? Mal sehen. Der Javalambre ist ein Berg mit über 2000m üNN und nach Angabe des Observatoriums sei es der zweitbeste Standort auf der Welt nach Hawaii was das Seeing angeht. Am Ende verfahre ich mich und es wird nun doch nichts. Das nächste Mal.

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/2V4D6z"><img src="https://farm8.staticflickr.com/7814/45955254364_e61358f884_h.jpg"></a>Bei der Beobachtung auf der Lichtung.</div>

!!Endlich am Platz

Endlich da. Leider muss ich feststellen, dass auf dem asphaltierten Parkplatz ein Wohnmobil steht. Blöd. Ist mir zu unsicher. Also weiter bis zum Feuerwachturm. Hochklettern? Wäre cool. Dazu müsste ich über den hohen Zaun klettern. Lieber nicht. Fahre noch weiter bis ich schließlich auf eine Lichtung komme, von wo ich gute Rundumsicht habe. Die Nacht bricht herein und ich bin schon ganz gespannt.

Erstmal wird geknipst. Das neue 180 Grad Objektiv macht einen ganz guten Job. Das 16mm ebenfalls. Bin begeistert. Jetzt muss aber mal was beobachtet werden. Doch was nur?

!!Beobachtung beginnt nun endlich.

Erstes Objekt ist der Komet [[46P/Wirtanen|46P/Wirtanen]]. Bei Werten um 21.76 mit dem SQM-L wird der Komet leicht im 14 Zöller sichtbar. An der korrekten Positiion ist er sogar mit bloßem Auge als kleiner, verwaschener Fleck zu erkennen. Zwar stört ein schwacher Stern. Aber der Halo ist eindeutig. Im 14 Zöller erscheint der Komet rund bzw. bei geduldiger Beobachtung leicht oval. Er zeigt einen kaum wahrnehmbaren, sehr kurzen Schweifansatz. Recht helle Koma, die im Zentrum sternförmig, aber trotzdem leicht verwaschen wirkt.

Die Temperaturen sind nach Sonnenuntergang gleich auf -3.5 °C  gefallen. Das Ganze bei 93% Luftfeuchte. Habe mir für 10 € auch eine neue Wetterstattion gegönnt. Dann trocknet es wieder ab. Das SQM-L steigt auf 21.86 im Zenit. Wahnsinn! Gegen 23 Uhr habe ich eine kurze Essenspause eingeschoben. Der Himmel wird wieder heller. Vermutlich zieht was durch. 21.66 nur noch. Auf Fotos sieht man dann schön, dass es Zirren sind. Unglaublich, dass man das mit bloßem Auge auch schon vage bemerkt.

[[Arp 123]]: Schon bei 65 fach ist die spindelförmige Galaxie NGC 1889 zu erkennen. Bei 430 fach nicht zu dunkel. Es zeigt sich eine Edge-On Galaxie mit mittig hellerem, zwei geteiltem Zentrum. Darüber befindet sich nördlich direkt über dem Zentrum eine weitere runde Galaxie mit sternartigem Zentrum. Wunderschönes Paar. Seeing 3.

Das Seeing bricht stellenweise kurzzeitig immer wieder übel ein. Scheint der Jetstream zu sein, denn alle Sterne scheinen sonst mit bloßem Auge recht ruhig zu stehen. Ohne Brille flackern sie aber mit sehr hoher Frequenz. Ich beschließe heute nix mehr anzufangen. Der Eispanzer auf dem Auto, den Scheiben und meinem Tisch ist sublimiert. Luftfeuchte ist auf 56% gefallen. Gegen halb zwei mache ich mich auf den Rückweg. Möchte den Mondaufgang über dem Dorf fotografieren. Am Turm ist es an der Kante recht windig. Ok. Von hier oben ist die Lichtglocke im Westen jetzt sehr deutlich. Es kann sich praktisch nur um Madrid handeln. Unglaublich, denn die Megacity ist über 200 km Luftlinie entfernt. Der Himmel ist hier auf jeden Fall auf Topniveau. Bortle 1. Am Horizont ist Lichtverschmutzung schwach sichtbar in praktisch jeder Himmelsrichtung. Aber perfekten Himmel gibt es in Europa wohl nicht mehr. Leider.

Erstaunlich ist auch, wie ich mich an einen dunklen Himmel gewöhnen kann. Nach der kompletten Dunkeladaption stören mich sogar die kleinsten Lichtglocken. 

Ich komme auch kurz am Parkplatz vorbei. Der Campingbus steht noch. Dazu hat sich auch ein Geländewagen gesellt, der mir auf dem Weg zur Lichtung entgegen kam. Das ist das Problem von guten zugänglichen Plätzen: Sie werden auch von anderen bevorzugt und gefunden. 

[[<<Zurück zum Artikel|Zwischen den Jahren auf dem Alto Tajo]] | [[Weiter zur nächsten Nacht >>|30. Dezember 2018 - Muela de San Juan]]

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So, der Mond 🌒 ist heute sehr prominent. Geht erst gegen 21:30 Uhr unter. Klar mit abziehenden Zirren. Vermutlich nachts werden welche durchziehen. Wie gestern halt. Die Ziegenherde hat sich mir genähert. Mag das nicht. Jetzt stehen sie 20m entfernt und rühren sich nicht. Na egal. Wieder mal eine neue Erfahrung. Beobachten mit einer Ziegenherde.

Es ist für die Jahreszeit üblich kalt. Die sommerlichen Temperaturen sind weg. Heute morgen gegen acht gab es -5 Grad Celsius im Dorf. Hier oben waren es +3 Grad Celsius. Wieder sehr trocken mit etwas mehr als 40% Luftfeuchte. Kein Wind. Nur ein leichter Luftzug ist zu spüren.

Erstes Objekt ist heute Whiting 1: Habe ich schon mit 25 Zoll beobachtet. Bin gespannt, wie er mit 14 Zoll aussieht und ob er überhaupt geht. Heute gibt es gar keine Flieger. Komisch. Hat wohl damit etwas zu tun, daß heute Sonntag ist.

''Whiting 1'': Bei 114 fach als kleiner, runder Nebelball an der korrekten Position zu erkennen. Indirekt gut zu halten. Zwei nahe Feldsterne sind schwach zu erkennen und nicht mit dem KS verwechselt, denn der steht knapp daneben.

Das SQM-L misst Werte um 21.5. Das ist auch korrekt. Der Himmel ist seifig. 

Die Nacht schreitet voran und ich bin dann doch an M33 dran. Habe die Herausforderung angenommen und  mache mir da keinen Stress. Notfalls lasse ich die Skizze liegen und mache Stück für Stück weiter. 
Der Himmel wird deutlich besser. Im Zenit werden jetzt 21.7 erreicht. Die Milchstraße zieht durch den Zenit. Zum Glück ist die Ziegenherde weiter gezogen. War mir etwas unheimlich, als sie praktisch in Sichtweite waren. 

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Nachdem M33 die Bühne so langsam verlässt, knipse ich ein bisschen herum. Plötzlich bellen. Türen zu! Und ins Auto. Mache mir vor Angst fast in die Hosen. Fasse mir schließlich ein Herz und gehe wieder raus. War vermutlich ein Bock und kein Hund. Wer weiß. Bin völlig durch den Wind. Was mache ich hier eigentlich?

Der Himmel ist mittlerweile richtig gut. Das Seeing ist vermutlich wieder Spitze, denn selbst Sirius zittert gar nicht. Es ist bald zwei Uhr. Gegen drei werde ich wohl dann aufbrechen. Der echte oder vermeintliche Hund hat mir den Rest gegeben.

Die Zeichnung mit M33 habe ich zumindest angefangen. Morgen geht es weiter.

[[<< Zurück zur vorangegangenen Nacht|28. Dezember 2019 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|30. Dezember 2019 - Pinar de Araceli]] 

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Heute baue ich unterhalb des Wasserbassin auf. Erstaunlicherweise ist es nahezu windstill. Für die Nacht morgen wird Wind vorhergesagt. Aber da er aus Nordost kommen soll, müsste ich hier eigentlich geschützt sein. 

Heute ist das erste Mal der Mond zu sehen. Ich mache ein paar Fotos und dann beginne ich mit der Beobachtung. Meine Objektliste bin ich komplett durch, so dass heute, im Grunde genommen auch schon gestern, eine Zugabe sind. Ich beginne wieder mit Planetarischen Nebeln. Mir fällt allerdings bereits mit bloßem Auge auf, dass das Seeing heute nicht besonders gut ist. Sirius flackert ganz schön. Los geht es mit dem Mars.

''Mars:'' Steht direkt über der Venus. Bei 290 fach lassen sich Albedostrukturen auf der Oberfläche erkennen. 

''Hubble 12'': Winziger Planetarischer Nebel um einen Stern. Bildet mit zwei weiteren Sternen ein gleichschenkliges Dreieck. Bei Verwendung OIII Filters verschwinden die beiden anderen Sterne des Dreiecks und nur an der Spitze beziehungsweise an der richtigen Position wird der Stern heller. Auch höhere Vergrößerung von 420 fach bringt keine Verbesserung.

''NGC 1501'': Schon bei 65 fach als kleines rundes Scheibchen zu erkennen. Interessanterweise keine Farbe. Bei 420 fach ist ein ovaler Nebelring um einen Stern erkennbar. Auf einer Seite zwei hellere Kanten. Gegenüberliegende Seite hat ebenfalls helle längere Kante. In der Mitte können zwei Dunkelgebiete erkannt werden. Beobachtung ohne Filter.

''NGC 2610'': Kleiner, leicht ovaler Nebel an dessen Rand sich ein heller Stern befindet. Der helle Stern liegt nicht genau auf dem Rand, sondern etwas außerhalb. In der Mitte ist der Nebel dunkler, so dass sich ein Ring zeigt. Dieser hat gegenüberliegende helle Kanten und einen asymmetrischen Halo.

[[NGC 2207 & IC 2163]]: Sehr interessantes Galaxienpaar. Es zeigt sich zunächst ein helles Zentrum von NGC 2207. Direkt daneben fast gleich heller Vordergrundstern. Spiralarme von NGC 2207 werden bei 290 fach schwach sichtbar. Im anschließenden ovalen Galaxienkörper schließt sich der ebenfalls ovale Galaxienkörper von IC 2163 östlich an. Diffuser Kernbereich, der durch zwei Schalensegment sehr begrenzt wird. Nach Osten hin diffus und spitz, mit leicht geschwungener Note auslaufend.

Das Seeing wird immer schlechter und der Wind nimmt weiter zu. Und das obwohl ich jetzt fast 500m weiter tiefer aufgebaut habe. Wenn ich die Brille absetze, wackeln alle Sterne. Gegen ein Uhr packe ich zusammen. Ein sehr schönes Ende einer guten Exkursion. Highlight waren die Nächte mit gutem Seeing und ohne Wind auf dem Roque.

[[<<Zurück zur vorherigen Nacht|28. Januar 2017 - La Palma]] | [[Zurück zum Artikel>>|La Palma im Januar]]
	

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Die erste klare Nacht ist im Kasten. Auch wenn wir nicht sehr intensiv beobachtet haben, war es ein wunderbares Erlebnis. Nach dem Regenguss ist die Landschaft sehr grün und die Luft ist klar. Über Nacht haben wir aber schon den ersten Calima Schwung abbekommen. Abseits der Wolken ist der Himmel etwas trübe. Ernst hat für heute abgesagt. Andreas ist wieder da und fotografiert fleißig.

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2i415P" title="Untitled"><img src="https://live.staticflickr.com/65535/51854783235_8dfa451bfb_h.jpg"></a> Die Wintermilchstraße ist am „Calimahimmel“ kaum zu erkennen.</div>

Diesig, also das Gegenteil von klar. Aber trotzdem kann man beobachten. Sehr selten so eine Wetterlage mit einem Tiefdruckgebiet, die mit hoher Luftfeuchtigkeit und Calima einhergeht. Trotzdem sind die Bedingungen okay. Heute ist der Sportplatz in Puntagorda ordentlich beleuchtet. Aber in zwei Stunden sollte das kein Thema mehr sein.
Ordentlich Verkehr insbesondere am frühen Abend. Das war aber gestern auch schon so. Aber da muss man einfach ruhig bleiben und sich nicht stören lassen.

Wie gestern auch bereits jetzt nur noch +9 °C bei 85 % Luftfeuchtigkeit. Heute ist auf jeden Fall nicht die Zeit um extreme Beobachtungen zu machen, insbesondere nicht irgendwelche schwachen Dinge. Aber die hellen gibt es ja auch noch, und dazu auch recht zahlreich. 

Erstes Objekt ist Sirius. Bei hoher Vergrößerung wird schließlich der Begleiter recht einfach sichtbar. Dennoch ist das Seeing nicht besonders gut. Der Himmel ist insgesamt sehr seifig. Gegen 22 Uhr ziehen sogar Wolken durch und sie lassen die Sterne teilweise komplett verschwinden. Bereits jetzt ist klar, dass dies keine Nacht sein wird, die zu großer Beobachtung einlädt. Aber was soll’s, dann geht es auch mal früher ins Bett. 

![[NGC 2467]]

Recht großer Nebel der schon bei Übersichtsvergrößerung von 92x sehr klar und eindeutig erkennbar ist. Obwohl die Transparenz richtig schlecht ist, ist er dennoch gut zu erkennen; am besten bei mittelhoher Vergrößerung von 164x. Dann zeigt sich ein großer, im wesentlichen unregelmäßiger Nebelring, der nord- und südlich hellere Strukturen zeigt und dessen Inneres mit diffusem Nebel gefüllt ist. Die südlichen Strukturen sind deutlich auffälliger und erscheinen „wolkig“. Dabei zeigen sie sich hauptsächlich zweigeteilt und leicht versetzt. Eine weitere ovale, diffuse, und auch etwas dunklere Struktur, ist westlich von den beiden zu erkennen. Insgesamt bilden sie drei Wolken, die wie auf einer leicht gebogenen Geraden angeordnet sind, die in einer diffusen Fahne endet. Sie ragt quasi über den runden bis leicht ovalen Nebelring hinaus. Nach Westen läuft der Nebelring Richtung Süden schwach und diffus aus, um dann im Süden wieder heller zu werden. Dort befindet sich auch ein sehr heller Stern, der die Beobachtung insbesondere mit Nebelfilter stört. Ihn umgibt aber trotzdem recht deutlich ein weiteres Nebelwölkchen welches leicht nach Osten ausgedehnt ist. An ihm vorbei setzt sich der Nebelring fort, um kurz vor einer Sternenkette wieder etwas heller zu werden und nördlich davon dreieckig und diffus auszulaufen. Von hier aus lässt sich der Ring kaum mehr nach Süden hin ausmachen und trifft schließlich sehr schwach auf die Wolken im Süden. Grundsätzlich lässt sich das Objekt ohne Filter beobachten, UHC und OIII-Filter wirken beide gut. Kaum zu entscheiden, welcher besser wirkt. Der OIII bringt mehr Kontrast, zeigt aber insgesamt nicht mehr als der UHC. Seeing 2-3. Transparenz schlecht.

Der Himmel ist mit 21.82 trotz Bewölkung recht dunkel. 

!NGC 3242 - Jupiters Geist

Eigentlich kann man heute nichts mehr beobachten. Ich versuche es dennoch bei Jupiters Geist. Und das Seeing ist Mega! So beobachte ich den Planetarischen Nebel zunächst bei 617x und später bei circa 1200x. Ich bin auf der Jagd nach den inneren Strukturen der Nebelschale hin zum Zentralstern. Leider ist aber nichts zu erkennen. Die bekannten Strukturen wie helle Knoten auf der Innere Nebelschale werden leicht sichtbar. Der Zentralstern scheint etwas gedimmt, was vermutlich von der schlechten Transparenz herrührt. Er ist aber gut zu erkennen. Ich probiere aus Spaß einfach mal ein paar Nebelfilter aus. Dies ist natürlich recht einfach, wenn man einen entsprechenden Filterschieber hat. Interessant ist, dass der UHC die Strukturen der Nebelschale deutlicher zum Vorschein bringt. Das gleiche gilt auch für den OIII. Ich probiere sogar den H-Beta Filter. Aber leider zeigt sich Nix aufregendes. Im Gegenteil der Nebel wird deutlich schwächer und die Strukturen verschwinden.

Der Himmel ist wieder seifig und deshalb war dies das letzte Objekt. Hoffen wir, dass es morgen besser wird. Die Wintermilchstraße war kaum zu erkennen, zumindest als sie etwas tiefer stand. Naja, so sollte ich eigentlich um fünf im Bett sein. Auch mal gut.

[[<< Zurück|28. Januar 2022 - Athos Star Campus]] | [[Weiter >>|30. Januar 2022 - Athos Star Campus]]

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![[M13]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{M13}}

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Tiefdruck über Spanien. D.h. sehr heiß und  Calima. Zu Sonnenuntergang gibt es kaum Schattenwurf, so schlecht ist die Transparenz. Dann ist es zunächst auch noch bewölkt. Es haben sich schließlich fünf Leute eingefunden. Ein 20 Zoll Gerät ist der Platzhirsch, dann ich mit 14 und zwei AP Traveler mit 4 sowie ein kleiner Newton.

!!!Bewölkung weicht erst nach Mitternacht

D.h. nach dem Aufbau Abwarten und quatschen. Nach Mitternacht reist der Himmel auf. Es sind gut 27° Celsius die ganze Nacht. Seeing ist diesmal gut. Ich nehme mir M13 vor. Ja, Zeichnung. Roberto warnt: Für den ersten KS schwierig! Habe es mir aber in den Kopf gesetzt. Bin mit Erkennen der Strukturen und Himmelsrichtungen gut zwei Stunden beschäftigt, bis es dann losgeht. Bei 320 fach wird durchgehend beobachtet.

!!!M13 wird gezeichnet

Mit bloßem Auge ist der Himmel gar nicht so schlecht. Bleibe die ganze Nacht bei M13. Gegen 03:30 Uhr ist es vollbracht. Heute ist viel Wind angesagt. Morgen fahre ich zum Pinar, dann soll die Wetterfront aus Westen durchgezogen sein.

[[weiter >>|31. Juli 2016 - Pinar de Araceli]]

Letzte Nacht Mega feucht. Heute soll es auch noch mal feucht werden, obwohl  nicht so stark. Einige Vorhersagen hingegen deuten darauf hin, dass es genauso schlimm werden wird. Trotzdem klar.

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Erstes Objekt ist die Große Magellansche Wolke. Zunächst im 25 Zöller, dann im Feldstecher. Im Feldstecher sieht sie fast noch besser aus, denn sie zeigt eine komplexe Struktur mit vielen Knoten und Sternwolken.

![[NGC 4565]]

Genialer Anblick! Optimale Vergrößerung ist 178x. Für Strukturen in der Nähe des Zentrums sind es dagegen 454x. Es zeigt sich die klassische Nadel, wobei sich immer wieder innerhalb der Ausläufer verschiedene wolkige Strukturen zeigen. Interessant ist zudem das Zentrum, wo sich zum Teil ebenfalls hellere Wolken zeigen, die zum Teil auch immer wieder stellare Knoten zeigen. Zentrum „taucherglockenförmig“, unmittelbares Zentrum sternförmig. Staubband sehr eindrucksvoll sichtbar. 

Kollege kommt vorbei. Wir schauen uns ein paar Highlights an und kommen ins Gespräch. 

!Circinius Galaxie

Sehr schöner Anblick. Direkt im reichen Sternenfeld der südlichen Milchstraße gelegen. Es zeigt sich ein helles aber nicht stellares Zentrum und ein sehr diffuser Galaxienkörper, eingebettet in die reiche Milchstraße. 

![[Antennengalaxien]]

Wunderbar anzuschauen. Antennengalaxien sind sehr gut sichtbar, obwohl sie mittlerweile sehr tief stehen. Mir geht es vor allen Dingen jetzt darum, eine im letzten Jahr begonnene Zeichnung zu verifizieren und letzte Details zu überprüfen. Trotzdem kann ich mich beim Anblick kaum losreißen, denn in dem schönen Pärchen sind unzählige Details, wie Knoten, hellere Segmente etc. erkennbar. Einfach wunderbar! 

!Omega Centauri 

Ovaler Kugelsternhaufen mit zwei dunklen Augen in der Mitte. Mega geil und bei hundertfach können praktisch schon die Sternfarben ausgemacht werden, die überwiegend gelb schimmern. Traue mich seit Jahren nicht eine Zeichnung zu machen, aber jetzt ist sie glaube ich unvermeidlich. Ob ich sie in eine Reinzeichnung übertragen werde können, wird sich zeigen. Trotzdem überragender Anblick, den man unbedingt genießen muss.

![[Laevens 3]]

Relativ einfach auffindbar. In einem Dreieck von circa einem Dutzend Sternen, etwa mittig, steht der Kugelsternhaufen. Zu erkennen ist ein kleines, rundes Glimmen mit Helligkeitszunahme zum Zentrum hin. Keine Einzelsterne. Am besten bei 178x bzw. 278x. Dann ist er relativ einfach zu sehen und kann indirekt ständig gehalten werden. Schaut aus wie ein Abell PN.

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Mathias und ich klönen vor uns hin. In diesem Fall heißt das, dass wir ein paar Highlights des Sternenhimmels einstellen. Zum einen sind das so Sachen wie M 13, dann Cirrusnebel, Cresentnebel und anderen Quatsch. Dann geht es erst mal in eine Pause. Als wir wieder zurückkommen, stelle ich fest, dass die Luftfeuchtigkeit doch noch mal zugelegt hat. Noch sind wir von Verhältnissen wie gestern etwas entfernt, aber viel fehlt nicht mehr. Das nächste Objekt geht auf Mathias Konto und nennt sich Robert's Quartett.

![[Robert's Quartett]]

Bei 454x sind insgesamt vier Galaxien zu erkennen. Es handelt sich dabei um NGC 87, 88, 89 & 92. NGC 88 ist die hellste und zeigt einen stellaren Kern. Gefolgt von 87 mit immer wieder aufblitzendem Zentrum, aber bereits deutlich schwächer als 88. 89 ähnlich wie 88, allerdings ohne Ansatz von Strukturen. Am schwächsten ist schließlich 92, die ebenfalls keine Details zeigt. Insgesamt trotzdem ein schönes Quartett.

Mit einem Male ist wieder alles feucht. Der Fangspiegel hält aber durch. 95 % relative Luftfeuchtigkeit, genau wie 7timer vorhergesagt hatte. 

!NGC 300

Wieder eine kleine Herausforderung. Wirkt wieder sehr diffus, aber ich vergrößere diesmal auf 178x. Ich erkenne einige weitere Knoten in der Galaxie. Schön!

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Von der Nachbarplattform wird herüber gerufen: Tarantelnebel! Also stelle auch ich ihn ein. Dann kommt der Kollege rüber. Wow! Mit OIII-Filter sieht er noch mal deutlich besser aus. Meint dann, dass  irgendjemand  hier mit einem Laser herumfummelt hätte. Leute werden verdächtigt, aber ich zum Glück nicht. Denn ich war derjenige! Benötige das Teil um meine Nachführung schnell auszurichten. Ich sage nichts. Die Dämmerung ist Ruckzuck da. Mega Farbenspiel!

[[<< Zurück zur vorangegangenen Nacht|28. Juni 2022 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|30. Juni 2022 - Tivoli Astrofarm]]

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35122139345/in/datetaken-public/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4252/35122139345_57c91ad457_h.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Der große Wagen kulminiert.</div>

Der Wind hat gedreht. Er weht wieder aus Nordost. Mal sehen, ob sich das bereits auf die Nachttemperaturen auswirkt. Am Abend ist nahezu windstill. Es bleiben nur noch drei Nächte. Schnell fallen die Temperaturen, d.h. heute wird es wieder kalt. 

Vor dem Abendessen mache ich nochmal schnell den Maschinisten, Gäste möchten mal ein "paar Sachen" sehen. Wir schauen uns Jupiter, den Mond, den Tarantelnebel, Schlüssellochnebel und Omega Centauri an. Nach dem Abendessen geht es dann richtig los.

[[Henize 2-55]]: Es zeigt sich bei 100 fach noch nix. Bei 280 fach dann ein runder Nebel neben einem hellen Stern. Bei 670 fach ebenfalls rund. Reagiert auf OIII-Filter sehr gut. Dann wird ein Ring sichtbar. Ohne Filter blitzt - bei besser werdendem Seeing - der ZS immer wieder auf. Seeing 2-3. Schönes Objekt.

[[NGC 2867]]: Blaugrüner, heller Nebel bei 100 fach. Bei 670 fach zeigt sich zunächst ein runder Nebelring, der im Innern gefüllt ist. Bei geduldiger Beobachtung erscheint der Ring nach Südwesten hin abgeschnitten und der runde Eindruck des Nebelrings ändert sich und der abgeschnittene Teil zeigt sich geradlinig, in dessen Mittelpunkt, etwas versetzt zur Mitte des Nebels hin, ein heller Knoten sichtbar wird. Mit OIII wird der Nebel nochmal heller und bei geringerer Vergrößerung von 280 fach zeigt sich ein schwacher Halo, der vom Radius her etwa den dreifachen Nebeldurchmesser entspricht.

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42235915991/in/dateposted-public/"><img src="https://farm1.staticflickr.com/957/42235915991_1338b45500_b.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Mond afokal durch das ES 25mm und der Sony RX100 III.</div>

[[NGC 6537]]: Winziger Nebel. Bei 100 fach allerfalls zu erahnen. Gewissheit dann bei 280 fach. Keine Farbe. Bei 670 fach zeigt sich ein ovaler Nebel. Mit OIII erscheint das Innere dunkler, so daß sich ein Ring abzeichnet. Bei Steigerung der Vergrößerung auf 1000 fach ist eindeutig ein Ring zu sehen. Nördlicher Ringabschnitt erscheint heller. Insgesamt wirkt der Ring unruhig. Seeing 2-3.

Das Seeing ist schlecht. Zwischenzeitlich erholt es sich wieder, um dann noch schlechter zu werden. Wind aus Nordost kommt auf. Vermutlich hat das damit zu tun. Temperaturen liegen bei +2 Grad Celsius.

!!!''Verbotene Objekte werden eingestellt''

Ich schwenke nach Norden. Cirrrus-Nebel. Mit OIII ein Gedicht. Der Mittelteil zwischen den beiden Bögen ist so strukturiert wie die berühmten Sicheln selbst. Dann geht es weiter zu M27. Der Nebel ist richtig hell und die Ohren scheinen sich wiederum an den Enden zu schließen. Anschließend das andere Extrem: 47 Tucanae. Ich fertige eine Zeichnung an, bis ich das Chaos wieder selbst beende. Ich mache mit meiner Durchmusterung der SMC weiter. 

''SMC:'' Ich starte heute wieder bei NGC 346, dem Propellernebel. Direkt daneben, südlich, befinden sich zwei kleine unscheinbare OS IC 1611 & 1612. IC 1612 ist länglich mit drei bis vier helleren Sternen im Außenbereich. Der Rest bleibt bei 280 unaufgelöst. IC 1612 ist sehr dicht und klein. Form rund. Bei 280 fach wirkt er bereits grießig. Südwestlich findet man NGC 330, einen hellen, kompakten OS von unregelmäßiger Form. Zwischen NGC 330 und NGC 346, etwa auf halber Strecke findet man den recht hellen und sehr kompakten OS Lin 56. Dieser enthält bei 280 fach lediglich fünf bis sieben Sterne, die sehr dicht stehen, aber aufgelöst werden können. Nordwestlich von NGC 330 findet man zunächst NGC 306, gefolgt von 299. 306 ist Lin 56 sehr ähnlich, nur schwächer. 299 hingegen ist größer mit dreickiger Form und einem hellen Stern im Außenbereich. Bei 280 ist dieser OS gut aufgelöst. Nordöstlich von NGC 346, etwa einem halben Grad entfernt, ist der OS 361 zu finden. Er steht direkt neben einer hellen, pfeilförmigen Sternengruppe. Die Form ist rund, wobei sich indirekt eine Dreiecksform immer wieder zeigt. In seiner Mitte steht ein recht heller Stern. Der Haufen kann bei 280 nicht aufgelöst werden und bleibt deshalb bis auf den Einzelstern komplett neblig. Bei Verwendung eines OIII-Filters verschwindet er komplett, so dass davon auszugehen ist, dass es sich tatsächlich um unaufgelöste Haufensternen handelt, die den nebligen Eindruck des OS verursachen. 

Es ist 04:30 Uhr Ortszeit. Ich packe zusammen. Nochmal etwas mehr Schlaf tanken. Der Endspurt naht.

[[<<Zurück zur vorherigen Nacht|28. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|30. Mai 2017 - Tivoli Astrofarm]]

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Windstill. Trocken. Angenehm warm mit +9 Grad Celsius. Morgen sind Wolken angekündigt. Sollen bis übermorgen in die Nacht reinreichen.

[[ESO 495-21 (Hen 2-10)|ESO 495-21]]: Schon bei 100 fach gut zu erkennen. Bei 430 fach sieht das Objekt wie ein Insekt aus. Es wird ein langgezogener Nebel mit je zwei hellen, stellaren Doppelknoten sichtbar. Ost-westlich ausgerichtet. Die westlichen Doppelknoten sind hell, während die östlichen indirekt knapp nicht gehalten werden können. Hinter den westlichen hellen Knoten diffuser Galaxienkörper mit abgehender Fahne, der auch die beiden Doppelknoten verbindet. Seeing 1.

[[IC 2621]]: Bei 100 fach noch absolut punktförmig. Mit OIII lässt er sich schön aus dem Sternfeld rausblinken. Bei 1200 fach zeigt sich ein heller Ring, der sich an einen Stern anschmiegt. Winziger PN.

Mathias macht Pause. Möchte M104. Sombrero Galaxie. Staubband leicht abgerundet und Halo. Wunderschön. 

[[Hoffleit 4]]: Kleiner, runder und schwacher Nebel. Keine Strukturen und auch kein ZS. Sieht aus wie ein Abell. Kann bis 454 fach vergrößert werden. Optimale Vergrößerung aber 278 fach.

[[IRAS 12419-5414 - Boomerang Nebel]]: Schon bei 100 fach gut zu erkennen. Bipolarer Nebel. Leicht gebogene Grundform. In der Mitte steht ein recht heller Stern. Zu beiden Seiten gehen zwei dreiecksförmige Fächer ab. Einer deutlich heller. 

''Henize 2-104 (PNG 315.4+9.4)'': Nix. Habe den PN mit OIII herausgeblinkt. Aber selbst bei 1200 fach nix zu sehen und das Seeing ist Top. Falsche Position in Sky Safari? Bin genervt!

SQM-L 21.95. +10 Grad Celsius. Wind aus NO. Schwach aber merklich.

[[IC 4599]]: Kleiner, recht heller Nebel bei Übersichtsvergrößerung. Bei 670 fach immer noch hell. Es zeigt sich ein ovaler Nebel mit hellerer Nebelschale und mit helleren „Kissen“ auf den Längs- und Seitenschalen. 

[[NGC 5873]]: Bei 1200 fach wird ein heller halbkreisförmiger Nebel mit sehr hellem Rand sichtbar. Inneres gefüllt, aber nur halb.

Mond ist da. Ins Bett!

[[<<Zurück zur vorangegangenen Nacht|28. Mai 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|30. Mai 2019 - Tivoli Astrofarm]]

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Bin heute morgen früh raus. Zur astronomischen Dämmerung gab‘s Frühstück. Dreiviertelstunde später konnte ich am Strand von Tazacorte meinem anderen Hobby nachgehen. Schwimmen. Eine Stunde und ich war nicht mal der erste im Wasser. Das Meer war für seine Verhältnisse quasi spiegelglatt. Und so kalt war es auch nicht. Anschließend ging es zu Fuß über die Vulkanroute im Süden ca. 7 km zum Refugio del Pilar.  Gegen Nachmittag bin ich wieder am Haus. Endlich mal die Sachen rausholen und das Teleskop aufbauen. Gegen Abend klart es zunehmend auf. Keine sichere Sache aber einen Versuch wert. Los geht‘s!

Klar mit abziehenden Wolken. Kaum Wind. Sehr gutes Seeing. Habe heute an der Podona aufgebaut. Roque meldet Temperaturen unter 0 °C. 95% Luftfeuchte. 5 °C. Dies wird eine denkwürdige Nacht werden. Ich habe dabei mehr Glück als Verstand. Die hartnäckigen Wolken verziehen sich, tauchen hin und wieder auf und kommen erst mächtig nach Mondaufgang zurück wobei es tatsächlich dann nach dem Abbauen direkt zu regnen anfängt. Aber jetzt erstmal geht es los.

Erstes Objekt ist [[Sanduleak 2-21]]: Direkt neben einem sehr hellen Stern. Schon bei 65 fach als Glimmen zu erkennen. Kann bis auf 430 fach vergrößert werden, ohne dass er zu dunkel wird. OIII-Filter hilft. Aber auch ohne gut zu erkennen. Mit OIII wird ein ovaler, gefüllter Nebelring sichtbar. Kein ZS zu erkennen. Große Achse etwa O-W ausgerichtet. Nördlicher und südlicher Rand heller. Apsiden diffus und etwas dunkler. Zwei gegenüberliegende Knoten auf dem Rand nahe der Apsiden. Schönes Objekt! SQM-L 21.7. 

Auf dem Roque zeigen die Messstationen sehr hohe Luftfeuchte und Minustemperaturen an. Hier unten ist es etwas abgetrocknet. Durchsicht ist nicht Top. Aber Seeing ist sehr gut. Hin und wieder sind am Horizont sehr helle Blitze zu sehen. Was ein Mist. Echt nervig.

Das SQM-L klettert auf 21.88 im Zenit. Hin und wieder sieht man Wolken aufziehen. Dennoch ist es klar. Im Süden ist die Lichtglocke von Los Llanos kaum zu sehen.

[[IC 466]]: Einfach aufzufinden. Bei 65 fach zeigt sich ein verdächtiges Glimmen um einen Stern. UHC bringt deutlich mehr Kontrast. Es zeigt sich ein fast umlaufender, diffuser Nebel mit einer nach Süd-Westlich abgehenden Fahne. Nördlich etwas heller. Östlich nichts zu sehen. Sieht so aus, als ob im Osten vor der Fehlstelle der Nebel Hörner ausbildet. Bleibt aber sehr schwierig zu erkennen. 290 fache Vergrößerung verwendet. Also so dunkel ist er nicht.

Der Roque ist dicht. 96-100% Luftfeuchte melden die Teleskope da oben. Sogar am Magic -1 °C. Hier unten sind es auch nur noch +5 °C. Aber +. Bin kurz im Haus, um einen Kaffee zu trinken. Ist schon komfortabel. Die erste Testaufnahme mit der modifizierten A6000 war auch erfolgreich. Der Rosettennebel ist in der Übersicht schon sehr deutlich zu erkennen. Kann aber heute nicht mehr machen, da das Stativ für eine Zeitrafferaufnahme der kompletten Nacht belegt ist. 

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47587040641/in/dateposted/"><img src="https://live.staticflickr.com/7874/47587040641_66f549077c_h.jpg"></a>Überhasteter Abbau und Abbruch der Beobachtung, nach dem das Gewitter nun eingetroffen ist.</div>

Auf dem diesjährigem DSM gab es von Uwe einen Vortrag zum Thema „Halos“ um PNs, der mich nochmal inspiriert hat den Halo um Jupiters Geist anzuschauen.

Nächstes Objekt ist der __[[Äußere Halo um NGC 3242|NGC 3242 - Äußerer Halo mit 14 Zoll]]__: Der äußere Halo ist bei 65 fach und OIII zu erkennen. Als erstes zeigt sich ein verdächtiges ovales Gebiet neben einem kaum erkennbaren Stern. Liegt etwas nordwestlicher als dieser. Hellere Kanten schwer erkennbar. Insgesamt indirekt knapp zu halten. Nach Norden fortsetzender Schweif schwierig aber sicher erkennbar und zum Ende hin heller werdend. SQM-L 22.00 im Zenit. 21.7 am Horizont und um Jupiters Geist 21.8.

Bin sehr überrascht. Denn das hätte ich nie gedacht, die Details, die ich selbst mit 25 Zoll gesehen hatte, auch mit 14 Zoll nachvollziehen zu können. Das ist schon der Hammer.

Das mit den hellen Blitzen hört einfach nicht auf. Erleuchten den gesamten Himmel. Die Blitze kamen wohl doch aus Norden. Jetzt aus Nordost bzw. sogar aus Ost. Die Theorie mit dem Feuerwerk hat sich nun erschöpft. Ist wohl ein Gewitter draußen auf dem Meer.

Nächstes Objekt sind die [[NGC 4038 & 4039 - Antennengalaxien]]: Die Antennen sind mit sehr viel Mühe bei 65 fach ansatzweise zu sehen. Das Seeing ist perfekt. 1+! Ich kann daher die Galaxien bis auf 430 fach vergrößern. Dann zeigen sich zwei Knäuel, die mit stellaren Knoten nur so übersät sind. Man muss sich aber einsehen. Aber dann ist das sehr gut zu erkennen. Das liegt auch nur am Seeing, dass das so geht, denn ich kann mich komplett auf das indirekte Sehen konzentrieren und muss nicht auf gute Seeingmomente noch warten. NGC 4038 zeigt sich von der Form her wie ein „Weinschlauch“. NGC 4039 ist weniger gut definiert,  zeigt aber einen markanten Balken mit drei Knoten. Im Anschluss an diesen zeigt sich ein diffuser Galaxienkörper. NGC 4038 ist eindeutig die interessantere von beiden, da sie mehr Strukturen zeigt. Auf dem Rand zeigen sich ein Vielzahl von Knoten. Ganz knapp außerhalb ein sehr schwacher Stern. Die hellsten Knoten können indirekt gehalten werden. Andere wiederum sind nur blickweise zu sehen. 

Ich bin total durchgefroren. Nur noch drei Grad Celsius und über 90% Luftfeuchte. Ich brauche erstmal einen Kaffee, sonst geht gar nichts mehr. Der Mond geht heute um kurz nach vier auf. Bleibt nur noch ein Objekt, denn es ist gerade drei Uhr durch. Zu spät. Gleich ist es vier. In der Wetter App kann man sehen, dass tatsächlich nordöstlich ein fettes Gewitter wütet. Vielleicht 150 km entfernt. 

Die Nacht war phänomenal. Perfektes Seeing. Sehr dunkel. SQM-L 22.0 im Zenit, am Horizont 21.7 und im Raben 21.8. Unglaublich. Vermutlich haben die tieferen Wolken tatsächlich jedwede Lichtverschmutzung z.B. von Los Llanos verschluckt.

Ich kann mich nicht mehr so richtig aufraffen. Bin praktisch tot. Ich sehe noch wie der Mond 🌒  den Horizont aufhellt. Dann kommen mächtige Wolken. Es sind Gewitterwolken. Das Timelapse fertig zu machen und bis zum Morgen durchlaufen zu lassen, streiche ich. Zum Glück. Jetzt weiss ich auch, woher die Blitze kamen. Kaum habe ich alles verstaut fängt es tatsächlich zu regnen an. Unfassbar. Soviel Glück...

[[<<Zurück zum Artikel|Es muss nicht immer der Roque sein]] | [[Weiter zur nächsten Nacht >>|30. März 2019 - La Palma]] 

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Es bleibt sehr kalt. Bin wieder um 18:20 Uhr beobachtungsbereit. Ich muss heute darauf achten, dass ich etwas mehr auf meinen Körper höre. Ich trage z.B. jetzt durchgehend Handschuhe. Dünne zwar, aber immerhin. Der Wind weht kräftig aus SW. Kann mich nicht verstecken. Und am Teleskop schneidet er sich in das Gesicht.

!!!Die Bedingungen sind gut. Schlechter allerdings als gestern. Luftfeuchte sinkt auf 27%.

Ich starte mit einem Klassiker von Gestern. Stephan's Quintett.

__[[Stephan's Quintett|Stephan's Quintett mit 14 Zoll]]__: Gestern hatte ich NGC 7320 C übersehen. Jetzt wird auch die versprengte nördliche Komponente sichtbar. Es ist tatsächlich auch die schwächste. 290 fach.

''__[[Abell 347]]__:'' Hellstes Objekt ist NGC 910. Groß, hell mit Helligkeitszunahme zum Zentrum hin. Diffus. Westlich liegt unscheinbar UGC 1866. Östlich in fast gleichem Abstand liegen NGC 912 und 913. Südlich ist PGC 9196 zu erkennen. Mittig sind ebenfalls zwei schwache und kleine PGC Galaxien zu sehen, die recht eng stehen. Nördlich von 910 werden die Galaxien 911 und 909 sichtbar. Sind gut zu erkennen. Etwas abseits ganz schwach auch PGC 9151.

Der Himmel sieht seifig aus. Ich mache heute viele Pausen. Meine Schuhe halten der Kälte leider nicht mehr stand. -5°Celsius und Luftfeuchte wieder ansteigend. Jetzt wieder über 40% lt. Wetterstation Wasserkuppe. Zirren sind zu erkennen. Die Wetterstation hingegen sagt "wolkenlos". Zu Beginn der Nacht hingegen andersrum, wo aber nichts war. 

!!!Am Ende dreht der Himmel noch mal richtig auf. La Palma Feeling!

Ich packe gegen 01:00 Uhr zusammen. Meteoblue bekommt den Preis für die beste Wolkenprognose, da sie die Zirren exakt vorhergesagt haben. 7timer, die für das Seeing, was am Anfang Ok war, dann aber schlecht. Bevor ich abfahre schaue ich nochmal hoch zum Himmel. Und siehe da: zwischen den Zirren tritt ein transparenter und dunkler Himmel zum Vorschein. Unter guten Bedingungen hat man hier Bortle 3.

[[<<Zurück zur vorangegangenen Nacht|28. November 2016 - Wasserkuppe]] | [[Weiter zur nächsten Nacht>>|02. Dezember 2016 - Wasserkuppe]]

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Wind ist für die nächsten Tage angekündigt. Und nicht zu knapp. Heute ist es noch Ok. Fahre hoch zum Gipfel des Roque. Auf dem Weg Schneereste an der Straße. Oben windig ohne Ende. Unten an der Straße kaum. 

Genieße die Aussicht auf den Teide. Der ist z.T. noch schneebedeckt. Der Sonnenuntergang ist von hier oben unglaublich schön.

Fahre zur "Halde". Steht ein Wagen. Egal wird schon weg fahren. Baue auf. Es wird immer dunkler. Niemand kommt. Ist mir zu heiß. Wenn der Wagen doch nicht fährt, ist es Mist, da eingeschränkte Sicht und gibt vielleicht wieder Ärger. Teleskop geschwind wieder abbauen. Und runter zum alten Platz. Wer weiß wie lange man hier noch beobachten kann. Es soll ja hier  das neue Besucherzentrum mit Café entstehen. Bauzeit drei Jahre. Einstelliges Millionenbudget. Bin hier etwas versteckt in einem neu gebauten abgehenden Weg. Wird vielleicht sowas wie die Zufahrt zum Parkplatz :)))) 

Bin so vor der neu installierten Lampe an der Residencia sicher. Das zum Thema Lichtverschmutzung durch Profi-Astronomen.

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Zunächst fast windstill, dann doch stark zunehmender Wind aus NE. Luftfeuchte bei 30% auf 70% ansteigend.

Erstes Objekt ist Komet Catalina. Steht in der Nähe zum Fuhrmanns.

''C/2013 US10 (Catalina):'' Bei 65 facher Vergrößerung nur schwach erkennbar. Die Koma ist diffus, nimmt aber zum Kern hin zu. Schweif schwach aber sicher erkennbar.

''M81:'' Hell, groß, oval mit hellem, fast sternartigem Zentrum. Begleiter Holmberg I ist einfach zu sehen. Spiralarme gut erkennbar.

Hatte eine Zeichnung vorbereitet, die das Sternfeld zeigen sollte. Finde sie aber nicht. Ist wohl nicht da :( 

M101 habe ich aber dabei. Der Wind bläst jetzt kräftig. Also M101 eingestellt und Zeichnung angefangen. Muss aber abbrechen, da das Teleskop wackelt ohne Ende. Selbst 65 fache Vergrößerungen gehen nicht. 

Abell 1656. Das sollte gehen. Denkste! Auch hier geht nichts, da schwache Galaxien mit der Wackelei nicht zu erkennen sind. Ok, SQM-L starten. Gute 21.65. Es ziehen Zirren durch, die man im SE gut sehen kann. 

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!!!Phänomen: Auf dem Horizont liegende Milchstraße

Die flach liegende Sommermilchstraße kommt gerade im Osten hoch. Blick zurück zu den Zwillingen. Im kompletten Bereich ist es jetzt klar. Vorhin zogen da Wolken durch. Ein leichtes Glimmen der Außenbereiche der Wintermilchstraße in den Zwillingen unter Castor und Pollux ist erkennbar. Dann geht es auf der anderen Seite vom Polarstern weiter beim Cepheus. Die auf dem Horizont liegende Milchstraße ist also doch zu sehen. Aber ein wenig spektakulärer Anblick. Später dann geht der Pfeifennebel auf. Oh, ja das ist spektakulär!!!

Der Wind zermürbt mich. Beschließe gegen 04:00 Uhr abzubauen. Vorher wird die Socke runter gezogen und ohne Streulicht beobachtet. Geht super! Boden ist ja fast schwarz. Also weitergemacht. Sommerobjekte eingestellt. Zunächst Planeten.

''Mars:'' Bei 420 fach zeigt sich ein blasses, rosafarbenes Scheibchen mit großer, weißer Polkappe. Dort anschließend große dunklere Albedostruktur parallel zur Polkappe mit faustkeilförmiger Teilform, die bis knapp über dem Äquator reicht und gut zu erkennen ist. Gegenüber der nördlichen Polkappe gibt es eine viel kleinere weitere Kappe gegenüber, die aber nur schwer erkennbar ist und bei schlechtem Seeing immer wieder verschwindet.

Als nächstes Saturn. Wenig spektakulär, wenn man Mars gesehen hat. Seeing ist heute nicht so gut. Sommerobjekte werden angefahren. Tintenklecks. Wow trotz niedrigem Stand, sehr kontrastreich. Lagunennebel. Uff!

Ich erinnere mich an den aktuell sichtbaren Kometen. Linear!

''252P/LINEAR:'' Schon mit bloßem Auge ein einfaches Objekt. Im Teleskop zeigt sich bei 65 fach eine diffuse, riesige Koma. Zum Zentrum hin heller werdend. Kein Schweif erkennbar. Wirkt leicht asymetrisch.

Der Skorpion steht inklusive Stachel über dem Horizont. Die Milchstraßengebiete um ihn herum sind richtig hell. Wahnsinn! 

Die Dämmerung ist im Anmarsch. Und der Mond ist auch aufgegangen. Ich packe alles zusammen und bin erst gegen 08:00 Uhr im Bett. Am Haus dann die Überraschung. Hohe dichte Wolken. Was für ein Timing.

[[Weiter zur nächsten Nacht >>|4. April 2016 - La Podona]]

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!!Das Zodiakallicht verschwindet wieder...

Das Zodiakallicht ist im Gegensatz zu vor einem Monat nur noch schwach zu erkennen. Aber immerhin, zu sehen ist es. Der helle Lichtschein kommt von der „Sternenstadt“ Fulda. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0r2925" title="Zodiakallicht kurz vor Dämmerrungsende"><img src="https://live.staticflickr.com/65535/51094092179_e958922049_h.jpg"  alt="Zodiakallicht kurz vor Dämmerrungsende"></a> 

Der Grund ist offenbar, dass die Ekliptik jetzt etwas flacher steht und der Schnittpunkt mit dem Horizont jetzt auch mit dem Lichtverschmutzungskegel von Fulda zusammenfällt. Darüber hinaus steht die Wintermilchstraße mit dem Sternbild Zwillinge schon tief und die hellen Milchstraßenwolken überlagern das Leuchten des Zodiakallichts. Dies alles führt dazu, dass es kaum noch zu erkennen ist. 

<<<

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Heute ist Ostersamstag. Vor ein paar Tagen war der Sommer kurz zu Besuch. +25° C tagsüber. Wunderbar. Dann kam die Kaltfront und mit ihr leider die Wolken. Die machen jetzt erst mal einen Kurzurlaub hier und dann geht es mit Regen direkt weiter. Aber vorher wollen wir noch mal beobachten. Vielleicht war es ja das letzte Mal im April. So genau weiß man es ja nie.

Der April ist astronomisch gesehen ein sehr guter Monat. Die Nächte sind noch ausreichend lang und dafür nicht mehr so extrem kalt. Trotzdem kann praktisch alles vorkommen: winterliche Nächte oder aber Frühsommer. Alles drin! 

Im Vorfeld frage ich mich selbst, was ich beobachten werde und natürlich auch Mathias und er schlägt das [[OdM für April 2021|https://www.astrotreff.de/forum/index.php?thread/259875-odm-april-2021-zum-jubiläum-ein-arp/]] aus dem Astrotreff vor. Es handelt sich dabei um Arp 84, also um ein interagierendes Galaxienpaar. Am Ende beobachte ich zum Thema natürlich nichts, aber das kann ich ja ein andermal nachholen.

Der Löwe, der Anfang März noch die ganze Nacht über vom Aufgang bis zum Untergang beobachtet werden konnte, steht mittlerweile nach Dämmerungsende fast im Süden. Ich habe heute vor M95 oder aber M96 zu beobachten. Der erste und der bessere Beobachtungseindruck soll entscheiden. Eine weitere Hausaufgabe habe ich auch noch im Gepäck: den Gezeitenschweif von NGC 3628, Ja genau, DER NGC Galaxie des Leo-Triplets. Angestoßen wurde das Thema im [[Deep Sky Forum als Object of the Week - „NGC 3628 Tidal Tail“|https://www.deepskyforum.com/showthread.php?1479-Object-of-the-Week-March-28-2021-NGC-3628-Tidal-Tail]]. __[[Uwe|http://www.deepsky-visuell.de]]__ hat mich ermuntert, dass auch mal 14 Zoll zu probieren.

<<<

![[NGC 3628 - Gezeitenschweif]]

Bei 80x wirkt das Leo-Triplet bereits sehr hell. NGC 3628 zeigt ein helles, strichförmiges Zentrum, was bei 168 fach in verschiedenene helle Knoten zerfällt, wie Perlen auf einer Schnur. Das Staubband teilt die Galaxie und ist auffällig. Am westlichen Ende zeigt sich ein diffuses „Auffransen“ des Galaxienkörpers, wobei ein hellerer Teil nach Nordwesten hin „abzuknicken“ scheint. Östliches Ende schwieriger zu beobachten, wenngleich dort die Dinge in recht normalen Bahnen laufen, d.h. der Galaxienkörper recht gut definiert „sein Ende findet“. Nordöstlich zeigt sich ein leicht versetzter, abgehender Schweif. Er ist bei 80 fach (AP 4.3mm) schwer zu erkennen. Gewissheit liefern die 114 fach (AP 3mm), insbesondere Mathias betont dies zurecht. Bei 168 fach erkenne ich im Gebiet immer wieder aufblitzende Hintergrundsterne, die jedoch zu schwach sind um diesen ausgedehnten „Glow“ an der Stelle zu verursachen. ''Westlich von SAO 99572 liegen zwei Sterne 🌟 mit ca. 12 mag. Bildet man ein spitzes, gleichschenkliges Dreieck, dessen Basis diese beiden Sterne bilden und dessen Spitze nach Südosten zeigt, so gelangt man an die visuell hellste Stelle des Gezeitenschweifs. Die Länge lässt sich etwa über die Strecke verfolgen, der über alle drei Sterne reicht. Dies entspricht in etwa der Länge des hellen Teils des (nördlichen) Bulge der Galaxie.'' Eine direkte Verbindung zur Galaxie kann ich nicht eindeutig ausmachen.

<<<

Der Gezeitenschweif insgesamt ist sehr lang und übersteigt die Länge des Galaxienkörpers um mehr als das dreifache. Trotzdem konnte ich vom Rest nichts definitives erkennen. Einzig der Ansatz am Galaxienkörper war definitiv sichtbar. Das SQM-L zeigt im Mittel 21.65 im Löwen und 21.7 im Zenit an. Mathias schlägt vor, dass ich das ganze auch bei ihm, mit 10 Zoll versuche. Mit dem 12 mm Okular (AP 2.4mm) versuche ebenfalls nachzuvollziehen, was ich eben in meinem Teleskop gesehen hatte.  Dies gelingt nicht. Auch nicht mit 10 mm Okular. Zwar kann ich im 14 Zöller bei 80 fach und auch am 10 Zöller einen lang gezogenen „Bogen“ erkennen, tue es aber als klare Fehlsichtung ab. Zu unwahrscheinlich ist es, dass so ein schwaches Objekt in zwei so unterschiedlichen großen Geräten erkennbar ist. Es ist erstaunlich, dass ein Detail in beiden Geräten sichtbar wird ohne konkret danach zu suchen. Denn gesucht habe ich nach dem kurzen Teilstück, was ich auch dann so im 10 Zöller nicht erkennen konnte. Vermutlich wird der lang gezogenen „Bogen“ von sehr schwachen Hintergrundsternen erzeugt.

Die Sichtung des kurzen Teilstücks des Gezeitenschweifs stufe ich als sichere Beobachtung ein. Ob darüber hinaus der komplette Gezeitenschweif sichtbar ist, ist eine andere Frage. Ich habe sie vorerst für mich mit den oben beschriebenen Geräten als „nicht sichtbar“ eingestuft.

Zu M95 oder gar M96 komme ich am Ende nicht mehr. Zu lange habe ich für den Gezeitenschweif geopfert und die Zeit rennt. Dazu trägt natürlich auch die Tatsache bei, dass hin und wieder Wolkenfelder durchziehen, die aber durch ihre Lücken einen enormen transparenten und dunklen Himmel zeigen.

Die Temperaturen waren knapp unter dem Gefrierpunkt angekündigt und da liegen sie nun auch. -3 °C praktisch ab 22:00 Uhr. Die Bedingungen sind gut. Transparenz ist top, wenngleich auch Wolken noch durchziehen. Einige Wettervorhersagen sprechen davon, dass Sie uns bis zwei Uhr begleiten werden. Ich hoffe dass das nicht so kommen wird, denn um 3:30 Uhr geht der Mond auf. Das wären im Prinzip dann nur etwas mehr als 1.5 Stunden klare Nacht. Es bleibt klar, obwohl hin und wieder was durchzieht. Wenn es dann im Anschluss wieder aufklart, ist der Himmel dennoch wieder gut.

<<<

![[NGC 3395 & 3396 = Arp 270]]

Es geht dann zu einem interessanten Galaxienpaar: NGC 3430 & 3424. Sie bilden ein schönes Paar, ähnlich zu einem M81 und M82. Etwas abseits steht was richtig interessantes, nämlich NGC 3395 & 3396 auch bekannt unter Arp 270: Kleines, helles Wollknäuel 🧶. Kann ohne Probleme bis auf 290 fach vergrößert werden. Dann zeigen sich zwei kleine, aber sehr helle Galaxien, die irgendwie zur interagieren zu scheinen. Ost-westlich ausgerichtet, wobei die Galaxie NGC 3395 ein sehr helles stellares Zentrum zeigt, mit abgesetzten, ebenfalls hellen, länglichen Teilstück. Blickweise zeigt sich weiter ein runder, etwas schwächer Knoten, so dass man eine Perlenkette mit „drei Perlen“ erkennen kann. Nach Osten und Westen zeigt sich ein diffuser auslaufender Galaxienkörper an dessen östlichen Ende ein schwacher Stern immer wieder blickweise aufblitzt. NGC 3396 zeigt einen ovalen Zentralbereich, mit ebenfalls sternartigem Zentrum, allerdings deutlich schwächer als das vom Begleiter. Indirekt zeigt sich ein Arm bzw. „Balken“, der durch das Zentrum geht und aus dem ovalen Zentralbereich herauszuragen scheint. Südlich abgehender diffuser Spiralarm, in dessen Inneren ein gut definierter, kleinerer Arm erkennbar wird. Das Ganze erinnert mich an einen bekannten Planetarischen Nebel: den „Bug-Nebel“. Absolutes Highlight!

<<<

!!Der Fuchs...

Im Zenit werden mittlerweile mit dem SQM-L 21.85 im Mittel erreicht. Um Polaris 21.55. In Horizontnähe 21.3.
Jedes Mal wenn ich heute Nacht ein Geräusch höre frage ich Mathias, was das denn sei. Die Antwort ist jedes Mal: „ein Fuchs“. Gekreische, Bellen, alles der Fuchs. Andere Tiere scheinen sich nachts nicht zu äußern, außer der Fuchs. Nun gut.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/jE9uE9" title="Aufgang der Leier"><img src="https://live.staticflickr.com/65535/51108462195_c5abd99f7f_k.jpg" alt="Aufgang der Leier"></a>

So, die Nacht ist damit fast rum. Im Norden tauchen nun wiederum neue Wolken auf. Der Skorpion steht fast im Süden, als der Mond schließlich aufgeht. Letztes Viertel. Mathias wartet noch bis es fünf Uhr durch ist. Dann ist die Ausgangssperre rum. Die gilt im Landkreis Rhön-Grabfeld ab 22:00 Uhr. Wir befinden uns jedoch im Landkreis Fulda, der in Hessen liegt. Obwohl die Inzidenz hier aktuell höher liegt, als im Nachbarlandkreis in Bayern, gibt es hier keine Ausgangssperren. Zumindest noch nicht. Letztlich soll nach Ostern entschieden werden und man kann wohl davon ausgehen, dass dies auch so kommen wird. Interessant war auch zu sehen, dass auf dem Parkplatz bis zu fünf bis sechs Wohnmobile standen. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6ab76E" title="Untitled"><img src="https://live.staticflickr.com/65535/51102298729_50df9e9a4d_k.jpg"></a>

Ich bin schließlich gegen vier Uhr auf der Rückfahrt. Zunächst muss auch ich eine Viertelstunde warten, bis die zugeeisten Frontscheiben wieder klar sind. Mir kommt praktisch bis vor Fulda kein Auto entgegen. Niemand ist unterwegs. Als ich gegen sechs Uhr schließlich in Frankfurt bin, erwartet mich schon die Morgendämmerung und ein lautes, aber wunderschönes [[Vogelgezwitscher|Vogelgezwitscher am Ostersonntag]]. Absolut beeindruckend!

[[Zurück zur Beobachtungsübersicht >>|Frühjahr 2021]] 

Erstmal wieder an der Viehtränke. Ich hatte  aber gestern geschworen...Egal werde ich halten. Trotzdem schaue ich mir das Gelände noch mal an. Niemand da. Keine Schafe, kein Hund. Sind wohl weiter gezogen. Beim Händewaschen an der Tränke werde ich zum "Herr der Fliegen". Mache eine Dose Bier auf. Nehme ein paar Schlucken. Dann ist ein Wespe drin. Ok. Besser so. 

Weiter geht es zum alten Platz. Etwas Wind. Also wieder hinter dem Hügel aufgebaut. Praktisch bis zum Morgen windstill. Gute Transparenz. SQM-L erreicht Werte um 21.73.

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![[Arp 297]]

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{{Arp 297}}

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Bei Arp 297 handelt es sich um ein Galaxienquartett aus zwei interagierenden Paaren. Eines besteht aus NGC 5754/2 sowie NGC 5755/3. Spiralarme sind z.T. gestört bzw. verzerrt.

''Arp 297:'' NGC 5754 ist eine runde Galaxie mit hellem sternartigem Zentrum. Bei geduldiger Beobachtung bei 168 facher Vergrößerung zeigen sich zwei Schalen. Die Innere ist etwas heller und recht scharf begrenzt. Am Rande der Äußeren befindet sich nördlich ein hellerer Knoten. Weitere Strukturen können nicht ausgemacht werden. Südwestlich liegt ganz in der Nähe die kleine Galaxie NGC 5752. Nördlich ist NGC 5755 zu finden. Zeigt sich in Kantenlage und ist überraschend hell. Weitere Strukturen nicht erkennbar. Etwas weiter entfernt befindet sich schließlich die letzte Galaxie in diesem Bunde NGC 5753, eine kleine runde Galaxie.

So zwei Stunden sind rum. Nicht zu fassen. Der Gegenschein kulminiert. Mache schnell eine Aufnahme bzw. mehrere. Wer kann ihn erkennen?

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28779460945/in/datetaken/" title="Gegenschein"><img src="https://c1.staticflickr.com/8/7507/28779460945_ec44d2572d_z.jpg" style="float:left;  margin-right:15px; margin-bottom:15px;"  alt="Gegenschein"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Als nächstes steht der "Tulpennebel" auf der Beobachtungsliste.

''Sh 2-101 - Tulpennebel:'' Direkt bei 56 fach ohne Filter als schwacher Glimmer in der reichen Sommermilchstraße sichtbar. Probiere zunächst alle Filter durch: OIII, UHC, H-Beta. Am besten funktioniert der UHC. Bei 56 facher Vergrößerung und UHC Filter wird der Nebel deutlich sichtbar. Es zeigt sich ein rechteckiger Nebel. Nach geduldiger Beobachtung zeigt er sich in der Tat tulpenförmig und läuft nordwestlich diffus aus. Verschiedene hellere Bereiche sichtbar, insbesondere im südlichen und südwestlichen Teil. 

Nochmal Abell 6. Nein. Doch! Gestern konnte ich ihn nur mit Mühe erspähen. Heute ist dies viel einfacher. Zeigt sich am besten bei 56 fach und OIII. Und ist gar nicht mal so schwer. Alles hängt wohl an den Bedingungen, die heute deutlich besser sind.

''NGC 7293 - Helix Nebel:'' Ohne Filter schon eine wahre Pracht. Mit OIII einfach umwerfend. Doppel Helix ist wunderschön auszumachen. Filter raus. Aber die berühmte Hintergrundgalaxie ist trotz bester Bedingungen nicht zu erkennen. Halte schwachen Stern in der Nähe zunächst irrtümlich für die Galaxie.

Weiter geht es zu M27. 

''M27 - Hantelnebel:'' Sehr heller großer Nebel. Bei 168 fach und OIII scheint der innere, hellere Teil strukturiert. Einige Sterne sind zu erkennen. Im Außenbereich laufen die "Ohren" diffus aus. Tolles Objekt.

Nun werden noch ein paar weitere Objekte angefahren, so NGC 7000. Ist mit bloßem Auge eindrucksvoll sichtbar. IC 1805. Schön! Aber am schönsten ist doch die Milchstraße mit bloßem Auge! Unglaublich. Dies ist einer der besten Beobachtungsplätze den ich kenne. Gefällt mir mittlerweile sogar besser als La Palma, da das Seeing besser ist und es nicht s windig ist.

Der Orion lugt zwischen den Bäumen hervor. Mache noch schnell ein Foto. Dann wird es schon heller. Nächstes Jahr nehme ich mir eine Daunenjacke mit. Mir ist kalt! Und das bei 9-12° Celsius!

[[weiter >>|4. August 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24291385352/in/datetaken/" title="Untitled"><img src="https://farm2.staticflickr.com/1518/24291385352_b910f31038_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Und schon ist das schlechte Wetter angekündigt. Noch nicht da, aber übermorgen Nacht soll es losgehen. Wind aus Nord mit starken Böen und Regen. Auch auf dem Roque. Dann dreht er auf NE. D.H. der Nordost-Passat setzt ein. Das Seeing wird dann wohl auch grottig. 7timer.com sagt für heute Nacht Zirren voraus. Na das ist ja voll daneben. In der Abendsonne werden ein paar ganz zarte Zirren sichtbar. Huch! Zum Glück ziehen auch diese wieder ab und so wird dies auch eine tolle Beobachtungsnacht. Heute ist es mit 8° Celsius richtig warm. Luftfeuchte sinkt deutlich in den einstelligen Bereich. Heute möchte ich das Roque Panorama endlich machen. Der Spaß wird ca. 3 h meiner Beobachtungszeit auffressen. Aber das muss sein.

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![[Rosettennebel]]

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{{Rosettennebel}}

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![[IC 1613]]

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{{IC 1613 mit 14 Zoll}}

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Zu Beginn der astronomischen Dämmerung bin ich bereit. Erstes Objekt ist eine Galaxie der lokalen Gruppe.

''IC 1613:'' Gerade so bei 65 fach erkennbar. Schwenken des Teleskops hilft. Selbst bei 114 fach noch schwach erkennbar. Beste Vergrößerung allerdings bei 65 fach und 5.6mm AP. Nach langer intensiver Beobachtung zeigt sich schließlich ein diffuser, ovaler großer Galaxienkörper, der im mittleren Bereich einen ovalen, bis länglichen, etwas helleren Teil enthält. Nordöstlich befindet sich eine weitere hellere Stelle. 

Faszinierendes Objekt. Bin mit Zeichnung über zwei Stunden an dem Teil dran.

Jetzt kommt das dreistündige Panorama. Anschließend geht es weiter zum Eskimonebel. Aber das Seeing ist nicht so gut, als das es 420 fach sinnvoll zuließe. Daher Abbruch und weiter am Projekt "Rosettennebel" gemacht. Es ist schon erstaunlich, welch ein Detailreichtum bei intensiver Beobachtung sichtbar wird. Lässt sich nicht auf's Papier bringen. Ein kurzer Blick auf M42. Gleiches Thema.

Jetzt geht's zu GUM Nebel. Ich möchte ein paar Namibia Eindrücke einfangen. Aber leider reicht der Dobson nicht so tief herunter. So bleibt Sh2-308. Auch schön. Ah, aber vielleicht Abell 14. Mit dem habe ich noch eine Rechnung offen. Recht schnell aufgefunden.

''Abell 14:'' Reiches Sternfeld. An der richtigen Position schimmert bei 114 fach und OIII-Filter ein kleines rundes Scheibchen. Bin aber schon mal einem Irrtum aufgesessen und deshalb wird der Filter rausgeschraubt. Und jetzt wird eine Sternengruppe von ca. 7-8 sehr schwachen, dicht stehenden Sternen sichtbar. Sehr schwach und bei Steigerung der Vergrößerung auf 168 fach werden die Sterne deutlicher sichtbar. In Sky Safari schnell die POSS-Karte geladen und Oh Schreck: Der ist zu winzig! Das geht nur mit höherer Vergrößerung. Aber 168 fach wird nochmal probiert. Nichts zu erkennen. Da muss noch stärker vergrößert werden. Dann wird aber alles in Dunkelheit absaufen. Das ist was für größere Teleskope.

Dann Komet Catalina. Steht für das Teleskop zu tief. Deshalb mit dem 10x50 aufgesucht.

''C/2013 US10 Catalina:'' Im Feldstecher kleines, rundes Nebelwölkchen mit Helligkeitszunahme zum Zentrum hin. Kein Schweifansatz zu erkennen. Ähnelt einem hellen und etwas zu groß geratenen Kugelsternhaufen.

Bei Jupiter ist auch nichts mehr zu holen. Und der Mond ist im Anmarsch. Und die Nacht ist damit schon wieder rum.


[[Weiter zur nächsten Nacht >>|4. Januar 2016 - Roque de los Muchachos]]

Klar mit geringerer Luftfeuchtigkeit als gestern. Sehr angenehm. Kaum Wind. Transparenz ist tatsächlich auch besser. Hoffen wir, dass es so bleibt.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7kV1N9" title="Untitled"><img src="https://live.staticflickr.com/65535/51423380843_8169e0b9b9_h.jpg"></a>

Mathias ist wieder mit 21 Zoll dabei. Beim Auspacken des Teleskops kommt mir eine Motte entgegen geflogen. Und das kommt so: mittlerweile habe ich die flache Rockerbox mit den montierten Höhenrädern in einen Plastiksack verfrachtet. So verhindere ich, dass der Spiegel zu stark verschmutzt. Als ich jedoch den Sack öffne kommt mir - wie gesagt eine Motte - entgegen. Bringt Glück, dachte ich mir. Bis ich den Spiegel sah. Knapp neben der Mittenmarkierung ist ein brauner Fleck zu erkennen, wobei von diesem auch harte Linien abgehen. Zunächst denke ich gar nicht an die Motte, sondern an einen heftigen Kratzer. Kann aber nicht sein. Und es sieht tatsächlich bei dem Fleck aus wie ein „Geschiss“. Tage später reinige ich den Spiegel und bin erleichtert: keine Kratzer oder sowas sondern tatsächlich nur die Notdurft einer mitgereisten Motte. Schon kurios: gestern Nacht vermutlich „eingestiegen“ und heute hier am selben Ort wieder abgesetzt. Eine Übernachtung auf dem Spiegel. So ist das.

Die Wasserkuppe ist in Blickweite. Über ihr steht Venus kurz vor dem Untergang (rechts oben im Bild). Bei Dämmerungsbeginn gab es noch ein paar Wolken. Ich war rechtzeitig da um auch den Erdschatten zu beobachten. Dieser war gut zu erkennen dennoch war er nur durchschnittlich.

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1429o8" title="Untitled"><img src="https://live.staticflickr.com/65535/51442379171_11d6500c64_h.jpg"></a>Die Sommermilchstraße im Süden. Nachgeführte Aufnahme. Sehr gut erkennbar ist, dass das Zentrum der Milchstraße tatsächlich bis zum Horizont zu erkennen ist. Die Einzelaufnahme wurde 2 Minuten lang belichtet bei 1600 ASA.</div>

Das erste Objekt habe ich schon ein paarmal beobachtet. Gezeichnet auch. Allerdings sind meine Ansprüche an die Zeichentechnik mittlerweile deutlich gestiegen. Deswegen besuche ich dieses Objekt, um es noch mal zu beobachten und anschließend zu zeichnen.

![[NGC 7008]]

Zunächst NGC 7006: kleiner unscheinbarer Kugelsternhaufen im Delfin. Kann selbst bei 430 facher Vergrößerung nicht aufgelöst werden. Jedoch scheint im Zentrum der Haufen gemottelt zu sein. Es zeigen sich zudem ansatzweise unregelmäßige Strukturen in Form von „Ketten“ die vom Zentrum ab zu gehen scheint. Insgesamt kann der Kugelsternhaufen nicht aufgelöst werden.

Dann geht es weiter zu NGC 7008: der Nebel ist schon bei 65x auffällig. Kann bis auf 430x vergrößert werden. Es zeigt sich ein ovaler, gut strukturierter Nebel mit verschiedenen „Teilschalen“.

!Laevens 3

Zunächst erneuter Versuch mit 14 Zoll. Bei 430x zeigt sich im richtigen Sterndreieck hin und wieder ein „aufpoppender Glow“. Danach am 21 Zöller geschaut. Zunächst ebenfalls mit dem 3.7 mm, was etwa 600x ist. Leider zeigt sich nichts. Danach verschiedene Vergrößerung probiert, bis runter zu 180x. Hin und wieder zeigt sich tatsächlich ein Glow etwas außerhalb. Aber dies muss man als Fehlsichtung ab tun, denn dieser ist etwa ähnlich hell wie im 14 Zöller, was natürlich nicht sein kann. Das Objekt zeigt sich nicht.

Das SQM-L pendelt um 21.43.

Dann geht es schließlich mit genießen weiter. Wieder mal der Ringnebel, Obwohl tief stehend kann der Zentralstern leicht erkannt werden. Anschließend geht es zu Jupiter. Dieser zeigt sich blickweise sehr stark strukturiert. Nächstes Objekt ist M15. Lässt sich bis ins Zentrum bei 430x auflösen. Zentrum zeigt sich als gebogener, helle und dichte Sternkette.

9-10 °C kalt. Luftfeuchtigkeit vermutlich um die 70 %. Das Autodach ist nass alles andere trocken.

Seeing jetzt sehr gut.

![[Böhm-Vitense 3]]

In ~SkySafari firmiert das Objekt unter BV 5-3, was Bohm-Vitense 5-3 bedeuten soll. In Aladin allerdings unter Bohm-Vitense 3. Letzteres scheint richtig zu sein. Naja, eigentlich ist korrekt wohl Böhm-Vitense 3. Der Name kommt von einer [[deutschen Astrophysikerin|https://de.wikipedia.org/wiki/Erika_Böhm-Vitense]], die später in die USA migrierte. 1956 veröffentlichte sie ein Paper in dem drei neue Planetarische Nebel auf [[S. 434|https://iopscience.iop.org/article/10.1086/126966/pdf]] erwähnt werden.

Denke zunächst, dass es sich um ein extrem schwaches Objekt handelt. Das Zielgebiet ist schnell aufgefunden und schließlich zeigt sich bei 290x und OIII-Filter ein runder, diffuser Nebel. Kann sogar bis auf 430x vergrößert werden und benötigt tatsächlich gar keinen Filter. Dennoch versuche ich UHC & OIII. Habe den Eindruck, dass der UHC besser funktioniert. Am Ende beobachte ich aber den Nebel ohne Filter bei 430x. 

__Kommentar:__ Es handelt sich um eine Doppelbeobachtung. Ich habe das Objekt bereits 2018 [[beobachtet und gezeichnet|12. Januar 2018 - La Palma]]. Damals habe ich bereits das Innere des Nebels leicht dunkler gesehen.

Sehr schöne Nacht. Alles bleibt trocken und kalt ist es auch nicht. Allerdings ist der Himmel nicht besonders dunkel. Typische Herbstnacht. Sehr gutes Seeing.

Am nächsten Morgen stelle ich verwundert fest, dass die Vorhersage sich komplett geändert hat. Nun soll es die kommende Nacht bewölkt sein. Zumindest teilweise. Keine Ahnung ob ich fahren werde.

[[<< Zurück |2. September 2021 - Lange Rhön]] | [[Weiter zur nächsten Nacht >>|4. September 2021 - Lange Rhön]]

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Auf Twitter habe ich mitbekommen, dass 45P/Honda-Mrkos-Pakdusakova zu sehen ist. Das dort gepostete Foto sah vielversprechend aus, so dass ich es auch mal versuchen wollte. So bin ich der mit dem Feldstecher bewaffnet und habe die Kamera entsprechend ausgerichtet. Zuerst kann ich den Kometen im Feldstecher erkennen. Steht nur wenige Grad über dem Westhorizont unterhalb der Venus.

''45P/Honda-Mrkos-Pakdusakova:''
Kleiner, Runder Nebelball im Feldstecher (10 X 50). Deutliche Helligkeitszunahme zum Zentrum hin, aber nicht stellar. Ganz schwacher Schweif, der südöstlich verläuft, geradeso zu erkennen. 

Fotoversuch scheitert. Leider ist der Komet nur als kleines Sternchen zu erkennen. Koma ist auf dem Foto also nicht zu sehen.

Erstes Objekt ist wieder NGC 247. Bei geduldiger Beobachtung werden weitere Details sichtbar. Dann bricht das Seeing unerwartet ein. Sterne lassen sich nicht fokussieren. Äh, das kenne ich! Was tun? Stelle M42 ein, um zu schauen wie schlecht es tatsächlich ist. Es ist schlecht. Überlege abzubrechen, da morgen Ostwind vorhergesagt ist, der Regen bringt. Einfach noch mal vollständig erholen, um noch mal richtig Gas geben. 

Aber ich gebe die Hoffnung nicht auf und so beginne ich ein neues All Sky Panorama. Dauert insgesamt 2.5 Stunden. Gegen Mitternacht ist es fertig. Leider zeigen sich Zirren auf den ersten Fotos, die offenbar gerade durchziehen. Checke immer wieder das Seeing während den Aufnahmen, um zu schauen ob es besser wird. Wird es aber nicht. Leider.

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Doch nach Abschluss des Panoramas und dem Nachtbrot, kann ich es kaum glauben: es wird wieder besser. Man kann zwar nur bis maximal 290 vergrößern, aber immerhin. Ich schaue mir derweil den Hexenkopfnebel bei 65 fach an.

''IC 2118 - Hexenkopfnebel'': Bei 65 fach lässt sich der Nebel schön abfahren. Dabei zeigt sich, dass der südliche Teil heller ist. Insbesondere am Ende wird der Nebel sehr gut sichtbar. Diffus im Innern und recht gut und scharf abgegrenzt die Kanten. Weiter nördlich trifft man an einer gebogenen Sternkette wieder auf einen helleren Abschnitt. Die sind schließt sich wiederum ein größerer heller diffuser Fleck an dieser Stelle läuft der Nebel sehr weitläufig und diffus im dichten Sternengewimmel aus. Echtes Highlight!

__[[HCG 31]]__: Nachschau. Diesmal bei etwas besserem Seeing. Heute kann neben den bekannten Galaxien insgesamt vier weitere kleine punktförmige, runde Galaxien ausgemacht werden. Einfachste ist die südlich zwischen der A Komponente liegende Galaxie. Die kleine runde Galaxie neben dem hellen Stern ist schwierig zu sehen, da der Stern die Beobachtung stört, aber geht auch. Die anderen beiden kleinen runden ähnlich großen Galaxien rahmen das Trio östlich und westlich ein.
Weitere Galaxie PGC 3092704 etwas abseits ebenfalls sichtbar. Sogar recht einfach. 

''NGC 1691:'' Kleine linsenförmige Spiralgalaxie mit hellem Kern. Bei 65 fach kaum zu erkennen, es sei denn man weiß wonach man sucht. Zentraler Balken mit hellem Ansätzen zu erkennen.

''Kohoutek 2-2=PNG_204.1+04.7'': An der richtigen Stelle scheint ab und an ein ovaler Nebel. Beobachtung mit 65 facher Vergrößerung und OIII-Filter. Zunächst nichts eindeutiges erkennen. Das Zielgebiet liegt in einem Rechteck. Nach einer Beobachtungspause erneut versucht. Diesmal bin ich mir relativ sicher, dass es sich um eine positive Beobachtung handelt. Es zeigt sich in einem Viereck aus etwa gleich hellen Sternen ein ovales Glimmen. Sehr schwer, sehr reiches Sternfeld. SQM-L 21.51.

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In einer Pause finde ich im Netz tatsächlich eine positive Beobachtung. Dazu gibt es auch eine entsprechende Art "Zeichnung", die mir aber leider - aufgrund des  "Sternenwirrwars" in der Zeichnung - nicht weiterhilft. Hier geht es zur positiven Beoachtung auf [[observing.skyhound.com|http://observing.skyhound.com/archives/jan/PNG_204.1+04.7.html]].

Der Himmel sieht schlecht aus. Die SQM-L Messungen bestätigen das. Das reicht für heute. Ich baue ab. Und als ich fertig bin wird der Himmel natürlich wieder besser. Ich bin schließlich um vier Uhr im Bett und tanke noch mal Kraft für die letzte Nacht. An der gleichen Stelle, wie gestern, begegnet mir der Fuchs. Am gleichen Ort! Gibt es doch gar nicht.

[[<<Zurück zur vorangegangenen Nacht|29. Dezember 2016 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht>>|31. Dezember 2016 - Pinar de Araceli]]

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/wZMc04" title="Untitled"><img src="https://farm8.staticflickr.com/7873/46502631652_afe44349d5_h.jpg"></a>All Sky Aufnahme gegen 20 Uhr Ortszeit.</div>

Am nächsten Tag checke ich die Fotos. Gemischt. Viele sind einfach überbelichtet. Das 16mm f1.4 macht einen guten Job, aber er könnte besser sein. Im Zentrum zeigt sich bei f1.4 mitunter deutliche Koma. Aber nicht immer. Muss ich noch mal checken. Das Meike 6.5mm f2 ist auch gut. Allerdings muss der Fokuspunkt experimentell gefunden werden. Dann kann man damit aber 30 sec belichten. Leider sind die meisten Fotos überbelichtet. Entäuscht bin ich vom Kit-Objektiv. Es zeigt den Mond leider mit einem Geisterbild, so dass er gar nicht als „Mond“ erkennbar ist. Doof.

Ich verbringe die Zeit im Hostal und versuche mich zu erholen. Dies gelingt mir ganz gut. Immerhin konnte ich sieben Stunden schlafen. Das ist gut.

Bin wieder auf der Wiese. Hatte mich zuvor mit den Wohnmobilleuten ausgetauscht. Bleiben mehrere Tage. Mir wird erzählt, dass der Bürgermeister vorhat hier für Camper Infrastruktur zu schaffen. Dazu gehöre auch Licht. Na Prost. Die Leute sind sehr nett und auch sehr vernünftig, aber ich denke es ist besser auf die Wiese zu fahren. Ist einfach nur so ein Gefühl. Kalt ist es wieder -3° Celsius. 50% Luftfeuchte. Leichter Wind aus Ost. Leider sehr schneidend. Handschuhe sind Pflicht.

Erstes Objekt heute ist eine Nachschau: NGC 7640. Bin gespannt, ob man aufgrund des besseren Himmels mehr Details erkennen kann.

[[NGC 7640]]: Zeigt sich bei 65 fach sehr hell. Man sieht die Galaxie im reichen, auslaufenden Milchstraßengebiet. Traumhaft. Kann hier bis auf 430 fach vergrößert werden. Am besten aber 290 fach. Es ist eine von Norden nach Süden verlaufende Galaxie zu erkennen, die ein geschwungenes „S“ oder ein Integral darstellt. Südlicher Teil kaum wahrnehmbar bei hoher Vergrößerung. Nördlicher viel deutlicher. Nördlich eines Sterns ist das hellere Zentrum zu erkennen, dass bei 430 fach irgendwie strukturiert wirkt. Wirkt oval in der Grundform bzw. zeitweilig sogar strukturiert derart, dass sich ein liegendes „U“ zeigt. Aber letztlich ist das alles schwierig. Insgesamt dominiert die längliche Form mit einer Ausbuchung. Dies ist das, was man nach längerer Beobachtung sicher wahrnehmen kann. Im Süden ist in einem Sternendreieck ein ganz schwacher, runder Klecks zu erkennen. Den hatt ich auf der Wasserkuppe auch gezeichnet. Letztlich hatte ich mir aber nix dazu notiert, so dass ich nicht wusste, ob es sich um einen Zeichenfehler handelte oder nicht. Jetzt also klar. Kein Fehler.

Das SQM-L ist schon bei 21.82 angekommen.

[[Arp 304]]: NGC 1241 ist schon bei 65 fach gut zu sehen. Ich vergrößere auf 290 fach und erkenne schließlich sogar einen Balken. Das sternförmige Zentrum ist einfach zu erkennen. Die Spiralarme sind als solches schwer zu erkennen. Am einfachsten ist ein ovaler Glow zu erkennen. Nur hin und wieder erkenne ich, dass abseits des Balkens es einfach dunkler ist. Insgesamt erschließen sich die Spiralarme dann aber doch. Man braucht aber Geduld. NGC 1242 zeigt keine Strukturen. Sie bleibt sehr schwach und ist zigarrenförmig. Wird zum Zentrum hin heller. Manchmal habe ich den Eindruck, dass sie schwache Strukturen aufweist, die sich aber nicht halten bzw. verorten lassen. Seeing 2.

Astronomie mit dem bloßem Auge: 46P/Wirtanen ist mit bloßem Auge heute leichter zu erkennen, da er zwischen einem Sternpaar mit ca. 5 mag steht. Genauer bildet er ein gleichschenkliges, gedrungenes Dreieck. HD2561 steht unmittelbar daneben und hat lt. Sky Safari 6 mag. Also hat 46P/Wirtanen  geschätzte 6 mag. Die Koma ist mit bloßem Auge auch gut sichtbar. Sieht aus wie ein schwaches Messierobjekt. 

[[IC 418 - Spirographennebel]]: Sehr hell und bei 65 fach von den Sternen kaum unterscheidbar. Vergrößere bis auf ca. 900 fach. Dann zeigt sich der ZS relativ leicht und der Nebel wird zu einer gefüllten ovalen Schale, die an den Apsiden schwächer wird und quasi offen bleibt. Schönes Objekt zum auflockern, denn ich warte eigentlich darauf, dass ''Minkowski 3-1'' etwas höher steht.

Das mit Minkowski 3-1 wird leider er nix. Steht zu tief für mein Teleskop. Besserung ist auch nicht in Sicht, denn er kulminiert gerade. Zudem ist das Seeing, wie gestern auch, eingebrochen. Mal sehen, was noch so geht.

Hier nun mehrere Aufnahmen des Himmels am neuen Beobachtungsplatz. Die Aufnahmen sind nicht bearbeitet worden, unterscheiden sich aber hinsichtlich verwendeter Blende und ASA Einstellungen. Sind aber insgesamt äquivalent.

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[[Kohoutek 2-1]]: Gut auffindbar. Bei 65 fach trotz störenderer Sterne zeigt sich schon ein verdächtiges, recht großes Glimmen. Bei 114 fach und OIII dann leicht zu sehen. Es zeigt sich ein unregelmäßiger Nebel, der ausgehend von einem verdächtig hellen Knoten am Rand direkt neben einem schwachen Stern zwei fast rechtwinklige Ausläufer zeigt. Dazwischen scheint hin- und wieder der Nebel seine schwache, runde Gesamtform zu zeigen. UHC funktioniert gar nicht gut. OIII ist hier die bessere Wahl.

Es wird auf einmal warm. Mich erreichen plötzlich warme Luftpakete. Mit -2° C und 45% Luftfeuchte lässt es sich gut aushalten. Der Wind hat etwas zugelegt, aber ich bin ja nicht auf dem Gipfel, sondern auf der windabgewandten Seite etwas tiefer auf einer Wiese.

Als Rausschmeisser gibt es mal wieder [[Simeis 147 um HD246646|Simeis 147 um HD246646]]: Mit OIII und bei 65 fach wird ein Knoten neben HD 246515 sichtbar. An ihn schließt sich eine diffuse und sehr schwache Kante an, die nach Südosten verläuft, also auf HD 246646 zu und auf halber Strecke an einem schwachen Stern, der sich zwischen den beiden befindet, endet. Um die Sternengruppe von HD 246646 scheint es auch neblig zu sein. Nix eindeutiges. Wahrscheinlich ist da auch nichts definitives zu sehen entgegen meiner ursprünglichen Beschreibung der Beobachtung von La Palma (und der dazugehörigen Zeichnung). Bedingungen sehr gut: SQM-L 21.82 im Zenit (Kasten des großen Wagens). 

02:26. Einpacken, wenn ich den Mond noch beim Aufgang fotografieren will.

[[<<Zurück zur vorangegangenen Nacht|29. Dezember 2018 - Muela de San Juan]] | [[Weiter zur nächsten Nacht >>|31. Dezember 2018 - Muela de San Juan]]

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Bin heute früher am Beobachtungsplatz. Sehr ruhig. Kein Luftzug. Nix rührt sich. Ziegen sind heute woanders. Deutlich kälter als gestern. Ist es von der Temperatur aber nicht. Die Wetterstation meldet +2 °C aber 75% Luftfeuchte. Auf den Live View des CAHA habe ich sehen können, dass Richtung Meer eine fette Wolkenschicht liegt. Mal sehen, ob man die Lichtglocke von Murcia heute überhaupt sehen kann. Ja, kann man. Und zwar von der Helligkeit und Größe kein Unterschied. Wer auch mal was anderes. Bis 22:30 Uhr geht heute nichts. Der Mond ist bereits sehr hell und stört ungemein. 

Den Mond schaue ich mir heute auch als erstes an. Wahnsinn. Super Seeing! Check am Polarstern zeigt es. Fast stehende Beugungsringe am unscharfen Stern. 

Kurz nachdem der Mond weg ist, kann ich bereits 21.7 im Zenit messen. Das sind gute Werte.

Bei dem guten Seeing bin ich unsicher, ob ich heute überhaupt bei M33 weiter machen soll. Vermutlich idiotisch. Ich möchte nochmal auf [[NGC 1535|NGC 1535 - Kleopatras Auge]] umswitchen: Heute ist das Seeing einfach perfekt. Die beiden Knoten, sowohl südlich als auch nördlich sind, können indirekt knapp gehalten werden. Und ich habe wieder den Eindruck, dass die nördlichen einen Ticken heller sind. Die Speichen sind sehr schwer, aber andeutungsweise sichtbar. Wahnsinn!

Heute sind die Bedingungen sehr gut. Transparenz ist sehr gut. Vermute aber nicht Top. Der Himmel ist dunkel, wenn auch nicht sehr dunkel. Das SQM-L erreicht um Polaris aber 21.7. Das ist gut. Immer wieder sind Flieger unterwegs. Und das auch um ein Uhr. Das ist etwas, was auch total nervig ist. Egal wo man ist und sei es noch so abgelegen, das Flugzeug über einem sicher. Lasse reichlich Aufnahmen mit laufen. Muss jedes Mal gucken, ob kein Flieger in den Serien ist. 

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Ich bin schließlich mit dem Feldstecher unterwegs. Dazu habe ich ihn aber vorher ein Stativ gesetzt. So schaue ich ein bisschen herum. Fasziniert bin ich dabei von der südlichen Wintermilchstraße, die man von Deutschland aus kaum sehen kann. Zunächst fällt mir neben den Klassikern die Dunkelnebel auf, die noch nicht mal Namen haben. Schön im Feldstecher sind M46 und M47, die beide aufgelöst sind. Viel weiter südlich steht ein ähnliches Paar IC 2391 & NGC 2669. Vergleichbar vom Charakter, der eine ein lockerer OS der andere kompakt mit schwachen Sternen. NGC 2669 ist hier quasi M47 und enthält einen sehr gut sichtbaren orangenen Stern um den sich weitere blaue gruppieren. Der andere IC 2391 ist - wie gesagt - sehr kompakt, kann aber im Feldstecher schon teilweise angelöst werden.

Zum Schluss bin ich mit M81 beschäftigt. Sehr schöne Galaxie, aber dennoch schwierig bei der Wahrnehmung der Details. Zwei Spiralarme sind ad hoc zu erkennen. Wo sie genau enden erschließt sich zunächst nicht. Ich entscheide mich gegen ein Zeichnung. Dazu brauche ich mehr Zeit. Ich möchte aber um vier Uhr morgens nichts mehr beginnen. Das waren sechs Stunden bester Beobachtung. Morgen Slivester und letzte Nacht.

[[<< Zurück zur vorangegangenen Nacht|29. Dezember 2019 - Pinar de Araceli]] | [[Weiter zur nächsten Nacht >>|31. Dezember 2019 - Pinar de Araceli]] 

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/94p271" title="Untitled"><img src="https://live.staticflickr.com/65535/51854453374_1ab5c993db_h.jpg"></a> Und täglich grüßt die Kaffeepause.</div>

Die nächste Nacht steht an. Gestern war zum Vergessen. Zunächst sieht es am Nachmittag so aus, als würde heute nichts gehen. Interessanterweise zeigen die Wetterapps auch an, dass es den ganzen Tag über sonnig sein sollte, tut es aber nicht. Stattdessen hängen dichte Wolken und Calima über uns. Aber wie durch ein Wunder klart am Abend auf. Die Durchsicht ist natürlich nicht gut, aber viel besser als gestern. Wir sind heute wieder zu dritt. 

Kurz vor Sonnenuntergang erzählt uns Kai, dass aktuell eine Fleckengruppe auf der Sonne zu sehen sei. Ich eile zur Kamera und erwische sie. Zwar nicht optimal aber besser als gar nichts.

Das erste Objekt ist heute wieder M42. Dann M33. An der Galaxie erkennt man, dass die Bedingungen heute in der Tat nicht so gut sind. Die Galaxie scheint förmlich im Himmelsuntergrund zu „ertrinken“. Aber das war uns ja praktisch schon klar, aber schön ist es mal zu sehen, wie sich das Thema Transparenz auch einmal praktisch auswirkt. Und da ist es einfach so, dass flächenschwache Objekte recht schnell verschwinden.

Heute ist also die Nacht der hellen Objekte. Das Seeing scheint ausgezeichnet zu sein. Erstes ernsthaftes Objekt ist Abell 12.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/R91k97" title="Untitled"><img src="https://live.staticflickr.com/65535/51858999835_f1847b16a0_h.jpg"></a>Der Himmel wird über die Nacht immer besser. Die Transparenz nimmt deutlich zu. </div>

![[Abell 12]]

Bereits bei Übersichtsvergrößerung (92x) bereits als runde, verdächtige Struktur im Halo von µ Orionis auszumachen. Optimale Vergrößerung ist 418x. Für eine gute Sichtbarkeit der Struktur ist ein Filter notwendig. UHC und OIII-Filter funktionieren beide gut, den optimalen Kontrast bringt allerdings der OIII-Filter. Vergrößere noch auf 617x, aber das ist zu viel. Bei 418x zeigt sich ein Rauchring, der im Südwesten etwas heller erscheint. Inneres ist ebenfalls mit diffusen Nebel gefüllt. Wunderschönes Objekt. SQM-L 21.44. 

IC 349 wird versucht. Der winzige Nebel direkt neben Merope wird aber leider trotzt des korrekten Sternfeldes und intensiver Beobachtung nicht sichtbar. Schade, denn das Seeing ist sehr gut. Mittlerweile hat sich der Himmel auch wieder vollständig erholt. Wir haben mittlerweile 21.78 in Zenitnähe, zumindest lt. SQM-L.

Die Luftfeuchtigkeit ist von 95 % auf mittlerweile 72 % gefallen. Der Himmel ist mittlerweile wieder sehr gut.

NGC 2280 ist eine Spiralgalaxie im Sternbild großer Hund. Ich weiß leider nicht, wie dieses Objekt den Eingang in die Beobachtungsliste gefunden hat, denn es zeigt sich fast nichts. Die Galaxie wirkt länglich mit die Fuße im helleren und lang gestrecktem im Zentrum, zur Mitte hin heller werden, aber nicht sternförmig. Die Spiralarme sind leider nicht zu erkennen. Leider etwas enttäuschend.

Nach einer Kaffeepause erfolgt eine Nachschau von Jupiters Geist. Aber heute ist auch nicht mehr zu erkennen.

![[Auner 1]]

Winziger Offener Sternhaufen im Sternbild „Großer Hund“. Bei Übersichtsvergrößerung von 92x nicht zu erkennen. Bei Steigerung der Vergrößerung auf 164x ist ein schwacher, leicht ovaler Glow zu erkennen. Hin und wieder habe ich das Gefühl, dass einzelne Sterne zu erkennen sind. Und bei Steigerung der Vergrößerung auf 255x zeigt sich schließlich, dass tatsächlich Einzelsterne, offenbar in Randnähe, sowie eine in der Mitte, zu erkennen sind.

Nach diversen Kaffeepausen geht es schließlich weiter. Wir schauen uns zunächst M81 und M82 an. Dann M51. Irgendwie wirken die Galaxien zwar beeindruckend aber etwas kontrastarm. Am nächsten Tag löst sich das Rätsel auf, denn eine fette Calima ist wieder im Anmarsch. Ich bin heute total kaputt und brauche Schlaf.

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Die Zeit vergeht wie im Fluge. Bergfest ist schon lange durch. Jetzt bleiben nur noch vier Nächte. Heute ist Bewölkung vorhergesagt. Tatsächlich zeigt sich aber ein Teil des Himmels klar. Das Wolkenband touchiert uns nur. Langsam bin ich so richtig durch. Es mangelt mir an Schlaf. Aber wie immer: es muss weitergehen. Tut es auch. Übrigens ist die Seeingvorhersage eine kleine Katastrophe. Egal wir sind auf der Zielgeraden und jetzt steht der Genuss im Vordergrund.

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Die Wolkenbank schiebt sich schließlich über den Beobachtungsort, aber wir machen erst mal eine Pause. Als wir fertig sind ist es tatsächlich klar. Der Rest der Wolkenbank bleibt im Nordwesten. Hin und wieder löst sich ein kleines Wolkenpaket, aber der Himmel bleibt insgesamt klar. Enormes Glück haben wir die ganze Nacht.

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Neben der Beobachtung mache ich einige Fotos. Nicht alle gelingen aber trotzdem zeigen sie doch die Stimmung ganz gut.

![[NGC 6164 & 65]]

Eines der ersten Objekte, die ich am Südhimmel überhaupt beobachtet habe und das war 2015 hier auch auf Tivoli. Jetzt quasi die Wiederholung. Um einen recht hellen Stern zeigt sich ein diffuser Nebel, der gut auf den OIII-Filter reagiert. Der Stern zeigt einen Halo, der aber vermutlich aufgrund seiner Helligkeit erzeugt wird. Aber davon abgehend zeigen sich sehr, sehr diffuse Arme, die in kurzen Sicheln münden. Diese scheinen mit Filter und auch ohne teilweise strukturiert. Von der Schockfront leider nichts zu erkennen. Vergrößerungen von 100x, 125x & 178x. 

![[IC 5052]]

Eine Empfehlung von Mathias. Es zeigt sich eine nadelförmige Galaxie, die auf den ersten Blick recht schwach wirkt. Bei geduldiger Beobachtung zeigen sich hingegen diffuse Strukturen im Galaxienkörper, sowie einige schwache Sterne. Insgesamt etwas zwiespältig, an sich recht schön, aber Details zeigen sich nicht viele.

21.96 mit SQM-L gemessen. Ein anderer Sternfreund hat mehrfach heute 22 gemessen. Der Himmel ist heute sagenhaft.

!NGC 300

Mega. Spiralstruktur ist heute noch mal deutlich besser zu sehen als die letzten Tage. Letztes Objekt ist der Tarantelnebel.

Dann kommen die Wolken tatsächlich doch noch. 4:30 Uhr die Nacht hat noch anderthalb Stunden, doch jetzt ist alles aus. Sehr dankbar 🥹 sind wir über diese gewonnene Nacht.

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Tagsüber richtig windig. Wind kommt aus Nordost. Abends windstill. Seeing sieht ganz Ok aus. 

Erstes Objekt ist der Mond, dann Jupiter. Nach dem Abendessen geht es weiter mit PNs.

[[NGC 2579]] oder ''PK 254+00.1'': Liegt mitten im OS NGC 2579. Recht heller Nebel um einen hellen Stern, genauer Doppelstern bzw. Sternenpaar. Zweite Komponente bzw. Stern deutlich schwächer. Östlich zwei helle Nebelknoten, die so dicht wie der Doppelstern stehen. Um den Stern zeigt sich ein runder, strukturierter Nebel, auf dessen östlichen Rand genau diese beiden Nebelknoten liegen bzw. etwas außerhalb der Fläche. Von dort geht nach Westen ein diffuser, aber gut begrenzter, halbkreisförmiger Nebelteil ab, in dessen Zentrum der helle Stern steht. Das gleiche bei der Westhälfte, wobei diese auf Höhe des hellen Sterns im Zentrum einen Nebelknoten und einen Balken ausgehend vom Zentrum, enthält. Im Norden vereinen sich die Nebelhälften nicht, sondern bleiben durch eine Dunkelstelle scheinbar getrennt. Südöstlich steht ein Stern, der ebenfalls von einem schwachen Nebel in östlicher Richtung umgeben zu sein scheint. Der Mond stört heute bereits sehr und so setze ich OIII und UHC-Filter ein. OIII funktioniert gut. Trotzdem ist die Beobachtung ohne Filter am besten. Vergrößerung 670 fach.

__Kommentar:__ Die [[SIMBAD Datenbank|http://simbad.u-strasbg.fr/simbad/sim-id?Ident=PK+254%2B00.1&NbIdent=1&Radius=2&Radius.unit=arcmin&submit=submit+id]] meint, dass es sich hier um eine kompakte HII-Region und nicht um einen PN handelt. Die beiden sichtbaren Sterne sind wohl Vordergrundsterne, auf jeden Fall haben sie mit dem Nebel nichts zu tun. Hat auch mit dem Sternhaufen NGC 2579 nichts zu tun. Der schwächere Nebelteil um den südöstlich befindlichen Stern ist demnach auch ein Reflexionsnebel.

''IC 2501'': Sternförmig bei 100 fach. Trotzdem erkennbar, da von anderen Sternen aufgrund der blaugrünen Farbe unterscheidbar. Bei 670 fach immer noch hell. Form rund bis leicht oval. Aufgrund des schlechten Seeings nicht von den Feldsternen unterscheidbar, bzw. Nicht sinnvoll hier noch weiter zu vergrößern. Seeing 4.

[[NGC 6445]]: Großer und heller PN. Schon bei Aufsuchvergrößerung von 100 fach gut sichtbar. Form rechteckig mit abgerundeten Kanten und kurzen, helleren und schwächeren, längeren Ausläufern an den Ecken. Lange Seiten nordöstlich etwa mittig unterbrochen. Beide kurzen Seiten deutlich heller. Zeitweise wirken diese unruhig. Inneres mit Nebel gefüllt. Heller Stern nordöstlich von schwachen Nebel umgeben. Reagiert gut auf Filter. Mit UHC-Filter werden der Nebel selbst und die diffusen Außenbereiche besser sichtbar. UHC-Filter funktioniert besser als OIII. Seeing 3-4. Vergrößerung 670 fach.

Als nächstes stelle ich den Bug-Nebel ein. Das Seeing wird aber zusehends schlechter, so daß ich zwar eine Skizze anfange, dann aber abbreche. Zwei Astrofotografen aus Österreich schauen vorbei. 2.7" haben sie beim Seeing gemessen. Das ist wirklich schlecht. Ich stelle auf Wunsch den Homunculus ein.

[[NGC 7293 - Helixnebel]]: Diffuser, ovaler Nebel bei 100 fach. Mit OIII gewinnt er ab Kontrast, bleibt aber dennoch überraschend diffus. Helix-Struktur ist nur mit Mühe erkennbar. Vergrößerung auf 280 fach bringt nichts. Deshalb beobachte ich bei 100 fach weiter und zeichne. 

So jetzt bleibt nur noch eine halbe Stunde. Ich müsste eigentlich mit der Durchmusterung der SMC weiter machen. Ok, mache ich. Bevor ich allerdings loslege, bemühe ich nochmal meinen 10x50. Im Liegestuhl, den ich mir hier raus geschafft habe durchstreife ich die hellen Milchstraßenwolken. Mir scheint - wie Tage zuvor auch - die große Sagittariuswolke einen gelben Schimmer zu haben. Andere Milchstraßenwolken bleiben hingegen grau. Mit dem Feldstecher geht es dort los. Die Wolke ist im Feldstecher eindeutig gelblich und sehr hell. Anbei M8, dann M24 mit seinen markanten Dunkelnebeln, M16 und M17, sowie B142 & 143. Zurück geht es in den Skorpion zu M4 und anschließend in den Pfeifennebel. Die Milchstraße wirft hier Schatten, was man daran erkennen kann, das wenn man eine Hand über die andere schiebt, dass die drunterliegende Hand etwas dunkler wird, wie ein Sternfreund ein paar Tage zuvor eindrucksvoll demonstriert. Schnell nehme ich nochmal den Feldstecher in die Hand und zeichne die SMC.

''SMC:'' Startpunkt ist wieder der OS NGC 330. Verbindet man ihn und NGC 346, stößt man zunächst auf eine sehr lockere Sternenwolke eine ganze Kette von runden Nebeln, häufig ohne Sterne. Ich habe vom Helix-Nebel noch den OIII-Filter drin, so dass mir beim Schwenken auffällt, dass auch der markante, runde Sternhaufen NGC 371 mit einem Nebel gefüllt ist, der auch ohne Filter gut zu erkennen ist, aber leicht für nicht aufgelöste Sterne gehalten werden kann. Aber zurück zu der Kette aus relativ hellen runden Nebeln. Senkrecht zu dieser Kette stehen die hellsten Nebel. Sie sind die einzigen, die ich adhoc identifizieren kann. Es sind NGC 261 und 249. Deutlich schwächer sind NGC 267 und NGC 248, die das Ende der Kette bilden. Im Anschluss setzt sich die Sternenwolke fort. Lt. Atlas gibt es hier noch zahlreiche OS, die ich aber aus Zeitgründen nicht mehr schaffe. Schnell fertige ich noch eine Zeichnung  zum Propellernebel NGC 346 an.

Die [[Zeitrafferaufnahme des Zodiakallichts|Zeitraffer Morgenzodiakallicht]] ist noch nicht ganz durch. Ich warte noch auf die letzten Aufnahmen der Dämmerung. Es ist mittlerweile schon sechs Uhr durch, bevor ich im Bett bin.

[[<<Zurück zur vorherigen Nacht|29. Mai 2017 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|31. Mai 2017 - Tivoli Astrofarm]]

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Heute teilweise bewölkt. Angekündigt seit einer Woche. Und die Prognose stimmt. Aber sie scheinen sich aufzulösen. Mal sehen. Habe aufgebaut aber die Wolken kommen aus Westen näher.

''He 2-108'': Runder, winziger Nebel um einen recht hellen Stern. Zeigt gegenüber dem Nachbarstern einen größeren Halo. Leider keine Zeit mehr den PN herauszublinken da Wolken die Beobachtung verhindern. Keine weiteren Details. 670 fach und 1200 fach. Seeing 1+.

Ich habe sowas im Vorfeld vermutet, d.h. dass der PN keine Details zeigt. 

Die Wolken sind da. Und nicht zu knapp. Das wird nichts mehr. „Lückenspechteln“ macht auch keinen Sinn.

[[<<Zurück zur vorangegangenen Nacht|29. Mai 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|31. Mai 2019 - Tivoli Astrofarm]]

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Heute morgen gab es Regen. Gegen Mittag ist alles abgetrocknet und ich bin wirklich guter Dinge. Im Moment besteht sogar eine Chance auf eine weitere klare Nacht. Dann ist wahrscheinlich für die nächsten drei bis vier Schluss. Ab Donnerstag geht es dann wohlmöglich weiter. April halt. Heute waren sogar Schneefälle auf dem Roque angekündigt. Leider nichts. Oder besser nichts. Habe wegen der Wanderung ganz schön Muskelkater. Und ich dachte das bisschen Spazierengehen...

Also wird am Haus aufgebaut. Doch was ist das? Plötzlich tiefe Wolken. Was nun. Keine Panik. Abwarten. Nach Sonnenuntergang sind die Wolken plötzlich weg. 

Während der astronomischen Dämmerung wird NGC 1624 aufgesucht.

[[NGC 1624 & Sh2-212]]: Bei 65 fach schon gut zu erkennen. Mit UHC steigt der Kontrast. Ausgehend von einem Sternendreieck zeigt sich ein ovaler, diffuser Nebel. In ihn eingebettet sind mit UHC-Filter ein halbes Dutzend Sterne erkennbar. Etwa mittig steht auch der hellste Stern. Knapp neben ihm ist ein recht heller Knoten sichtbar. Insgesamt ist der Nebel nach O-W ausgerichtet, zeigt aber im westlichen Teil ein helleres, ovales N-S ausgerichtetes Segment.

Das SQM-L steigt mal gleich auf 21.7 im Zenit.

[[Sh2-216]]: Sehr schwer zu beobachten. Mit 65 und OIII nur vermutet. Mit 40x und OIII dann sicher. Es zeigt sich eine helle Kante, die indirekt knapp gehalten werden kann. Seite eines rechtwinkligen Sternenvierecks scheint auch eine hellere Kante zu haben. Bleibt aber unsicher. Insgesamt sehr schwer.

Luftfeuchte ist wieder gefallen. 85%. Das ist Ok. +5 Grad Celsius. Um 22:15 gibt es die erste Pause. Der Nachbar hat im Wohnzimmer eine sehr helle punktförmige Lichtquelle, die mich wirklich stört. Hoffentlich geht er bald ins Bett. 

Als ich wieder raus komme spüre ich leichten Nieselregen. Nein! Es waren vielleicht 20 min, die ich im Haus war und jetzt sind Wolken aufgekommen. Nieselregen ist immer ganz schlecht. Der geht nicht mehr weg. Es wird in Windeseile alles abgebaut. Im Haus gibt es dann zum Trost Käse und Wein. Ein Blick auf die Wetterkarte sagt, dass dies nix mehr wird. Danach soll es dann die ganze Woche weiter gehen. Hoffe die Meteorologen irren sich. 

[[<<Zurück zur vorangegangenen Nacht|29. März 2019 - La Palma]] | [[Weiter zur nächsten Nacht >>|31. März 2019 - La Palma]]

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<div class="tc-link-info-item-flex-25" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/23479175253/in/datetaken/" title="Beginning Observing Seesion"><img src="https://farm2.staticflickr.com/1595/23479175253_c7b02644ac_b.jpg" alt="Beginning Observing Seesion"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Beginn der Beobachtung.</div>

Leichter Wind aus Süd-Ost bis Süd. Baue unterhalb der Teleskope auf. Es ist nur sehr leichter Wind angekündigt. Aber das sollte diese Nacht etwas anders aussehen.  

Erstes ernsthaftes Beobachtungsobjekt ist IC 5076. Dazu fertige ich auch eine Zeichnung an.

[[IC 5076]]: liegt in unmittelbarer Nähe zum berühmten Nord Amerika Nebel. Ovaler recht heller Reflexionsnebel. Schon bei 65 fach schwach erkennbar. Kann relativ hoch vergrößert werden, d.h. bis 168 fach. Beste Vergrößerung allerdings bei 114 fach. Nach Süden hin ganz schwacher Ausläufer erkennbar. Sternenkette stört die Beobachtung dort, ist aber dennoch zweifelsfrei erkennbar.

Dann die Nebel um Gamma-Cassiopeiae: [[IC 59 & 63]]. Eine vorgezeichnete Sternkarte ist vorhanden. Dort zeichne ich den Nebel geduldig ein. Hatte bereits eine im Oktober in der Rhön gemacht. Dann aber wieder abgebrochen, da die Transparenz nicht optimal und der Ausblick auf die Reise optimale Bedingungen versprach.

Der Wind stört jetzt ziemlich deutlich. Beschließe daher ein Panorama zu schießen. Aber selbst bei Weitwinkelaufnahmen - unter Zuhilfenahme eines stabilen Mittelformatstativs - sind die Aufnahmen zum Teil verwackelt. 

Die Teleskope zeigen Wind aus Südwest und mit Geschwindigkeiten um 20 km/h an. Das kann aber nicht sein. Ich schätze den Wind mindestens auf 30 km/h. Egal, so geht es mit hellen und großflächigen Objekten, wie dem Orionnebel und dem Rosettennebel, weiter. Die müssen schließlich nicht zu hoch vergrößert werden.

Es gehen auch schon die ersten Neujahrsgrüße ein. Aber langsam. Hier fehlt aufgrund der Zeitverschiebung noch eine Stunde. Die ist dann auch schneller rum als gedacht und so geht kurz nach Mitternacht der Mond fast zeitgleich mit Jupiter auf. Seit 5 Minuten grüßt das neue Jahr und ich stoße mit einer abgelaufenen Dose Cola an, die ich vom letzten März noch bei meiner Vermieterin gelassen hatte.

Der Wind hat mittlerweile nachgelassen und nachdem ich alles zusammen gepackt habe, bin ich noch mal zur Aussichtsplattform gefahren, wo vor zwölf Jahren alles begann. 

Die Nacht ist relativ frisch durch den böigen Wind, aber nicht kalt, da nur circa 8°  Celsius kalt. 

Gegen zwei bin ich schließlich im Bett, nachdem ich noch mal den leckeren "Tea Wein" probiert habe. Das war eine Silvesternacht ganz nach meinem Geschmack. Hatte in Erinnerung dies bereits vor Jahren ebenfalls mal gemacht zu haben, aber keine Aufzeichnungen mehr gefunden. War wohl damals ein anderer Feiertag :)

[[Weiter zur nächsten Nacht >>|1. Januar 2016 - Roque de los Muchachos]]

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Heute ist Silvester! Habe unterhalb des Puerto de La Losa aufgebaut. Oben war es mir zu windig und auch keinen ebener Platz vorhanden. Hier unten ist es schön gemütlich, allerdings ist die Aussicht nicht spektakulär. Heute ist das erste Mal die Mondsichel prominent zu sehen. Ab und an verirrt sich hier eine Windböe, aber je dunkler es wird, desto stärker nimmt der Nordwind ab.

__[[M77]]__: Sehr helle Galaxie. Kann ohne Probleme bis auf 420 fach vergrößert werden. Es zeigt sich ein heller, fast sternartiger Kern, an dem zwei kurze Spiralarme abgehen. Nordwestlicher Spiralarm endet mit einem hellen Knoten. Zwischen Kern und diesem Spiralarm befindet sich ein Dunkelbereich. Weitere Ansätze der Spiralarme sind im Außenbereich als hellere Kanten sichtbar. Ganz weit außen weitere Spiralarme als kurze abgehende Arme sichtbar.

Ganz in der Nähe zu M77 befindet sich NGC 1055.

__[[NGC 1055]]__: Galaxie in Kantenlage Ost-West ausgerichtet. Wird durch einen Staubband längs geteilt. Nördlicher Teil deutlich heller. Südlicher diffus auslaufend. Kleines helleres aber recht unscheinbares Zentrum.

''IC 353'': Unweit der Plejaden zu finden. Ist nur bei maximaler Austrittspupille, d.h. 65 facher Vergrößerung des beobachtbar. Es zeigt sich ein sehr großer, ovaler Nebel. Etwa genauso groß ist die abgehende Zunge, die auch gut beobachtet werden kann. Das Ganze liegt nur ganz knapp über dem Himmelshintergrund und ist nur eindeutig durch Schwenken erkennbar. Schwieriger als der gestern beobachtete Hexenkopf Nebel. SQM-L 21.72.

!!Es wird immer kälter 

Es wird immer kälter. Schließlich werden -3 °C angezeigt. Aber da es kein Wind gibt und die Luft sehr trocken ist, lässt es sich ganz gut aushalten. Nur noch wenige Minuten bis zum neuen Jahr 2017! Betrachte zum Jahreswechsel den Himmel bloßem Auge. Er ist einfach nur spektakulär zu nennen.

__[[NGC 2371 & 2372]]__: Schon bei 65 fach sind zwei kleine Nebelbällchen erkennbar. Reagiert auf OIII-Filter. Bei 290 fach werden zwei entgegengesetzt gerichtete Schweife direkt an den Nebelknoten sichtbar. Südlicher Knoten etwas heller. Nördlicher hat hingegen längeren Schweif. Nordöstlich beziehungsweise Südwestlich werden jeweils ganz schwach zwei parallele Balken sichtbar. Sehr interessantes Objekt!

__[[IC 2574 - Coddington's Nebel]]__: Schwach und zigarrenförmig bei 65 fach. Bei 168 fach diffuses Zentrum mit Knoten beidseitig. Abseits des wahrnehmbaren Galaxienkörpers schwache Knoten in den Aussenbereichen sowie ein Viereck aus dicht stehenden kleinen Nebelbällen. Diese reagieren auf den UHC-Filter. Handelt sich daher wohl um HII-Regionen. 21.81 im Zenit. 

__[[NGC 2419 - Intergalaktischer Wanderer]]__: In Verlängerung einer Kette von helleren Sternen. Rund, ohne merkliche Helligkeitszunahme zum Zentrum hin. Im Halo können einzelne Sterne blickweise aus dem Halo herausgelöst werden. Im Haufen selbst auch. 420 fach.

Eine Blicke schweifen wieder über den Sternenhimmel. Es ist absolut klar und diesmal offensichtlich keine Zirren unterwegs. Das SQM-L zeigt jetzt auch kontinuierlich Werte über 21.8 an.

__[[Abell 15]]__: Kann trotz des relativ tiefen Standes bis auf 290 fach vergrößert werden. Mit OIII zeigt sich dann ein runder Nebel, der sich indirekt gut halten lässt. ZS kann ebenfalls gesichtet werden.

Jetzt noch was Neues beginnen? Nein, ich mache noch mal eine Nachschau von K 2-2. 

__[[Kohoutek 2-2]]__: Versuche es heute mal ganz anders. 168 fach und OIII. Mmhhh. Nix. 114 fach mit OIII. auch nix. 65 fach. Oh, nein auch nix. Irgendwie zu hell das Bild. Na, ja ist ja auch extrem klar heute. Kann doch gar nicht sein. Ok. Zusammenpacken. Ist auch schon halb fünf. Als erstes versuche ich die Filter zu verstauen. Äh, da war ein UHC-Filter drin. Ok, nochmal. 114 fach und jetzt mit dem richtigen OIII. Sieht schon besser aus, äh das Bild, dunkler. Vom Nebel keine Spur. 65 fach. Lass Dir Zeit! Lasse ich mir. Und dann erscheint im Viereck aus vier Sternen ein gebogenes Glimmen in südwestlicher Richtung. Der neblige Eindruck im Viereck ist wie gestern auch da, aber der Bogen ist viel prominenter. "Tausend" Vergleiche an anderen Vierecken mit gleich hellen Sternen folgen, und ja Beobachtung wird immer wieder bestätigt, denn an den anderen Vierecken zeigt sich nix. Nach einer Pause nochmal bestätigt. Genial!

Jetzt huschen meine Blicke nochmal über den gerade heute genialen Sternenhimmel. 21.82 misst das SQM-L im Mittel im Zenit. Super Abschluss dieser Exkursion.

Auf dem Rückweg komme ich diesmal am OLS vorbei. Das Tor ist geöffnet. Aha, scheint auch jemand zu beobachten :)

Wie gestern und vorgestern und auch an der gleichen Stelle ist der Fuchs gerade über die Straße gehuscht. Doch plötzlich hält er inne und scheint auf mich zurück blicken zu wollen. Ich halte. Wir  schauen uns kurz an, bis er an jener Stelle wieder im Dorf verschwindet.

Im Hotel ist nach der Silvesterfeier die Bar noch geöffnet, aber die Gäste weg. Es ist auch schon halb sechs. Nur der Barkeeper ist noch da und wir haben uns in den vergangenen Jahren so öfters des morgens unterhalten. Und so auch heute. Ich erzähle vom Fuchs und den Wildschweinen und wir müssen lachen. So ist das.

[[<<Zurück zur vorangegangenen Nacht|30. Dezember 2016 - Pinar de Araceli]] | [[Zurück zum Artikel>>|Zwischen den Jahren im Pinar]]

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Das o.a. Bild zeigt den Aufgang des Erdschattens im Osten von der Muela de San Juan (genauer Feuerwachturm) aus gesehen. Links das Gipfelkreuz und unten das Dorf Griegos.

Das Meike 6.5mm Fisheye ist rattenscharf. Und dazu hat es kaum mehr als 100 € gekostet. Am Anfang hatte ich Probleme mit dem Fokus. Den habe ich empirisch jetzt gefunden: 0.5m ist unendlich! Beim 16mm von Sigma ist es der Übergang von ein zu zwei Meter! Offenbar liegt das am Auflagemaß der Sony Kameras, die ja spiegellos sind und wo offenbar der optische Weg fehlt. Dass die Objektive da keine Verlängerungshülse verbaut bekommen ist schon ein starkes Stück. Allerdings werden die Objektive ja für alle möglichen Kameras gebaut. Dann muss der User halt den richtigen Fokus selbst finden. Anders bedruckt werden sie zumindest auch nicht.

Der Camper immer noch da. Überlege kurz ob ich bleibe. Dann geht das Licht im Camper an. Neh weiter zur Wiese.

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/F75Z1j" title="DSC08791_sperical"><img src="https://farm8.staticflickr.com/7893/45907849374_de4d6bb995_h.jpg" alt="DSC08791_sperical"></a>Erster Versuch ein Panorama mit der neuen Sony A6300 und dem Sigma 16mm f1.4 ein Panorama zu machen. Oben links ist der Komet 46/P Wirtanen zu sehen.</div>

Wieder auf der Wiese. Diesmal etwas weiter weg vom Weg, denn dann ist die Horizontsicht besser. Luftfeuchte bei 40%. Temperatur bei +1.5° Celsius. Wärmer. Wind aus NW, der sich komplett legt. Alles gut. Habe ein All Sky Timelapse gestartet. Hoffe, dass es funzt.

!!Das Zodiakallicht ist wieder mal der Hammer. 

Aber jetzt wird beobachtet. ''NGC 1097'' ist ausserhalb meiner Reichweite. Zu tiefstehend für das Teleskop. Leider. Komet 46P/Wirtanen ist immer noch mit bloßem Auge sichtbar. Die Temperaturen fallen schnell wie gestern auf +0.4° Celsius. Luftfeuchte bei 44%.Das Seeing ist nicht so gut. Aber eben auch nicht wirklich schlecht.

[[M74]]: Sieht wirklich wie eine kleine Ausgabe von M33 aus. Bei 114 fach ist die Galaxie hell und diffus. Bei 290 fach zeigen sich nahe dem hellen, aber diffusen Zentrum zwei Sterne. Weitere tauchen im Galaxienkörper auf. Manche blitzen nur hin und wieder auf. Nach geduldiger Beobachtung treten  die Spiralarme aus dem diffusen Glow hervor. Fährt man sie ab, trifft man immer wieder auf diffuse Knoten. Manche heller andere nur indirekt aufblitzend. 

Ich habe mich beim Erkunden auf eine Zeichnung von [[Uwe mit 27“|http://www.deepsky-visuell.de/Zeichnungen/M74_27.htm]] gestützt und versucht die Zeichnung mit 14 Zoll nachzuvollziehenden. Die meisten Details konnte ich schwer, aber dennoch sicher erkennen. Erstaunlich, wie ich finde. Da ist sogar eine kleine Galaxie außerhalb, die ich sehr schwach mehrmals aufblitzend trotzdem erkennen konnte. Die Beobachtung dauerte mehr als zwei Stunden. Seeing 1-2. Stellenweise hervorragend. SQM-L 21.66 bis 21.70 im Zenit. -3° Celsius. 50% rel. Luftfeuchte.

!!Es geht auf Mitternacht zu und das heisst auf das neue Jahr. Es ist soweit. Freu! 

Parallel schaue ich nach was so am anderen Platz los ist. Referenz ist Calar Alto. +3° C und 22% Luftfeuchte. Deutlich wärmer. Nämlich 4° C. Das ist schon was. Windig ist es auch dort nicht. Hier ist es absolut windstill, obwohl Wind mit 30 km/h vorhergesagt ist.

[[NGC 2282]]: Nachschau zur Beobachtung vom [[16. November auf der Wasserkuppe|16. November 2018 - Wasserkuppe]]. Weiss auch nicht warum, aber egal. Es zeigt sich ein recht heller Stern, der in einen Nebel eingebettet ist. Das ist schon sehr gut bei 65 fach zu erkennen. Beste Vergrößerung ist 114 fach. Es zeigt sich südöstlich direkt eine helle kurze Kante bzw. Knoten. Sonst umlaufender, ovaler Nebelschlauch, der westlich gut zu erkennen ist und nordöstlich fast und im Süden tatsächlich verschwindet. Filter helfen hier wohl keine. Habe aber nur den UHC ausprobiert. Der Nebel ist dann kaum noch zu erkennen. SQM-L 21.74.

Der Himmel ist heute nicht so gut wie die Tage vorher. Das zeigt auch die 500 km südlich befindliche Wetterstation des Calar Alto mit dem Wolkenindex von -34. Gute Nächte erreichen -39. Na ja. Die Minustemperaturen sind fast so, wie um diese Zeit auf der Wasserkuppe. Unterschied ist aber ich bin hier über 800m höher auf ca. 1750m üNN. Das ist schon was.

Das nächste Objekt ist wieder ein Leckerbissen. NGC 2346 ist ein Planetarischer Nebel im Sternbild Einhorn, in dem ein Doppelsternsystem eingebettet ist, dessen Komponenten sich in 16 Tagen umkreisen (Quelle [[Wikipedia|https://de.m.wikipedia.org/wiki/NGC_2346]]). Entdecker war W. Herschel. Erstaunlich, was für Funzeln er schon im 18 Jh. gesehen hat.

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[[NGC 2346]]: Bei 65 fach wird an der richtigen Stelle bereits ein schwacher Halo wahrnehmbar, der zu groß für einen Stern dieser Größenordnung. Dennoch muss man sich erst einsehen, um das wahrnehmen zu können. Kann bis auf 900 fach vergrößert werden. Es zeigt sich ein ovaler, nicht ganz runder Nebel um einen recht hellen Stern. Rand östlich und westlich heller, östlich ausgedehnter. Nach Norden und Süden keine Kanten, sondern diffuses Auslaufen. Seeing 1-2.

Ich starte das Genussspechteln: Leo-Triplet, dann M46 & M47. Der PN ist bei 65 fach richtig hell. M42. Hellblaues Zentrum mit farbiger rotbrauner Kante. Schwingen ebenfalls rostbraun. Alles in Farbe. Dann Flammennebel und M38. Dann wieder zurück zu M66 im Leo-Triplet.

[[M66]]: Kann bis auf 430 fach vergrößert werden. 290 fach ist aber die optimale Vergrößerung. Es wird eine schöne Balkenspirale sichtbar, die zudem auch noch asymmetrisch ist. Helles Zentrum mit hellem Balken, der zeitweilig unterbrochen ist. Dann abgehende Spiralarme, wobei der nach Norden verlaufende irgendwie besser zu erkennen ist. Zum Ende hin heller werdend. Der nach Süden verlaufende Arm ist diffuss, kann aber trotzdem noch gut erkannt werden. Anfang heller, dann diffus auslaufend. Zum Zentrum hin diffuser Knoten. Am südlichen Balkenende gut definierter Knoten. Insgesamt überraschend strukturiert.

Timelapse läuft noch. In 20 min geht der Mond auf. Die Luftfeuchte ist auf 60% gestiegen. Mittlerweile sind es wieder -4.4° C. Also arschkalt. Ich packe zusammen und warte bis der Mond aufgeht. Himmel ist am Ende wieder auf Topniveau: 21.84! Kurz vor Mondaufgang 21.90 im Zenit im großen Wagen und 21.76 Bei Polaris.

Ich stehe noch ein wenig herum und warte bis der Mond hinter den Bäumen auftaucht. Er taucht die Landschaft in ein unheimliches Licht. Plötzlich stehe ich im Mondlicht. Wie hell der Mond 🌒 noch ist.

[[<<Zurück zur vorangegangenen Nacht|30. Dezember 2018 - Muela de San Juan]] | [[Weiter zur nächsten Nacht >>|01. Januar 2019 - Muela de San Juan]]

Windstill und kalt. Wie gestern. Sehr gute Transparenz. Ärgere mich über die Aufnahmen, die leider doch verzogen sind. Mist. Heute ist ja der Mond 🌓 recht lange da. Da muss ich dass noch mal untersuchen. Aber, das habe ich gestern auch gemacht. Was hat es gebracht? Nix. Mal sehen. Der Fehler ist aber systematisch. Vermutlich Bildfelddrehung.

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Eine wunderschöne Dämmerung erwartet mich, wie die letzten Tage auch. Diesmal habe ich sie auch mit der Kamera und dem exakten visuellen Eindruck einfangen können.

So mache ich Testaufnahmen mit der Kamera bis der Mond schließlich tief steht. Dann möchte ich mit dem Projekt M33 weitermachen, aber M33 kann ich nicht finden. Peinlich. Leider kann ich die Galaxie mit bloßem Auge nicht erkennen, da der Mond noch zu hell scheint. Schließlich schaffe ich es doch sie aufzufinden. Ich nutze die Zeit, um das Sternfeld zu verifizieren und die zugehörigen Sternhelligkeiten zu notieren. Parallel möchte ich noch die langzeitbelichtete Referenzaufnahme mit der Milchstraße im Zenit machen. 

Muss zwischenzeitlich ins Auto flüchten. Irgendein Tier auf dem Hügel ist unterwegs. Höre zunächst ein lautes Knacken von einem Ast. Dann ein Grunzen. Ich mach erst mal alle Türen vom Auto zu und flüchte ins Auto. Später komme ich wieder raus, um die Kamera zu überprüfen. Alles ruhig. Doch dann wieder. Was ist das? Was mich vor allem stutzig macht ist die Tatsache, dass die Vögel vorhin kurz ein Geschrei abgegeben haben. Also dieses etwas muss sie aufgescheucht haben. Vielleicht ist es ja ein Hirsch. Ich habe auf dem Weg zum Beobachtungsplatz ein paar Rehe gesehen. Sie sind stehen geblieben und haben mich sogar eine Zeit lang angeschaut. Heute gab es wohl auch eine Jagd, denn ich habe entfernt Schüsse gehört.

Gegen Mitternacht treffen die ersten Grüße ein. Auch ich verschicke welche und muss auch kurz telefonieren. Trotz der Abgeschiedenheit dieses Platzes hat man in der Regel guten Handyempfang.

Irgendwann muss ich aber wieder raus. M33 ist dann aber schon weg. Den Rest muss ich wohl vertagen. Es riecht irgendwie nach Pilzen. Kann das sein? Später ist der Geruch weg. Das Tier auch. Zum Glück. 

<<<

!IC 2149

Ein eher selten beobachteter Planetarischer Nebel ist IC 2149 im Sternbild Fuhrmann. Er wurde erst 1906 von der schottisch-amerikanischen Astronomin Williamina Fleming entdeckt. Es handelt sich um einen bipolaren Nebel, wobei seine genaue Struktur immer noch Gegenstand wissenschaftlicher Untersuchungen ist. 
Im 14 Zöller zeigt sich bei mittlerer Vergrößerung zunächst nur ein unscharfer Stern. Bei 420x wird schließlich ein bipolarer Nebel sichtbar; strichförmig, in dessen Mitte der Zentralstern steht. An beiden Enden sind hellere Knoten erkennbar. An einer Seite, etwa hälftig, geht eine schwächere Fahne ab. 

<<<

Das Seeing ist wieder sehr gut. Wie alle Nächte bisher. Gestern habe ich noch M81 geschaut und heute wollte ich eigentlich keine Zeichnung machen. Tue ich aber nun doch. Der Himmel ist heute sehr transparent. So, wie ich ihn immer in Erinnerung hatte. Praktisch wie auf La Palma. Mal sehen, ob die Aufnahmen das bestätigen. Heute schwankt das SQM-L zwischen 21.7 und max. 21.8. Das ist gut.

Um vier packe ich zusammen. Das reicht für heute. Morgen sind dann Zirren angekündigt aber ich hatte mir eh vorgenommen hier einen Cut zu machen. War schön wieder hier gewesen zu sein, auch wenn ich eigentlich zum Alto Tajo wollte.

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Am nächsten Morgen treibe ich mich noch in der Sierra herum. Immer wieder unwirklich diese ausgeräumte Landschaft. Ich komme schließlich auch am [[OLS|http://www.observatoriodelasagra.com/]] vorbei. Auch heute - wie in anderen Jahren - ist das Tor zum Observatorium leider geschlossen.

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[[<< Zurück zur vorangegangenen Nacht|30. Dezember 2019 - Pinar de Araceli]] | [[Zurück zum Artikel >>|Weihnachten 2019]] 

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Die nächste Calima Welle rollt an. Nach dem Mittag stehe ich auf und muss erkennen, dass die Landschaft wieder in eine Staubwolke eingehüllt ist. Der Regen rückt auch immer näher, laut Vorhersage soll er übermorgen eintreffen. Die Bedingungen sind zwar durchwachsen, aber ich bin dennoch zufrieden. Kann eigentlich gar nicht sagen warum. Ich bin ja bis heute der einzige Gast. Ernst und Andreas sind ja „Gastbeobachter“, die nur für die Nacht kommen und dann wieder in ihre Unterkünfte fahren.

Heute schließlich trifft ein weiterer „echter“ Astrogast auf Athos ein, Werner. Ich denke er kommt von einem anderen Stern. 💫 Ernst wird heute wohl heute eine Pause machen, er reitet die optimale Welle der Nächte. Eigentlich sollte man ihn als Indikator für die Bedingungen einer bevorstehenden Nacht nehmen. Immer wenn er eintrifft, wird die Nacht gut.

Gegen 17:00 Uhr ist Andreas schon wieder da. Leider ist der Kaffee ausgegangen. Er schlägt vor das wir zusammen in den nahe gelegenen Supermarkt fahren. Das geht bei mir nicht, denn ich habe in circa einer Stunde eine Redaktionskonferenz. Und ich brauch noch mal ein Moment um mich zu sammeln. Also fährt Andreas alleine.

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Schnell wird klar, daß heute hier nichts zu holen ist. Die nächsten Tage ist es dann bewölkt, schließlich regnet es.

[[<< Zurück|30. Januar 2022 - Athos Star Campus]] | [[Weiter >>|04. Februar 2022 - Athos Star Campus]]

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Heute geht es zum Pinar. Lasse mich von Google Maps über Straßen jagen, wo mir eine halbe Stunde lang kein Auto begegnet. Totzdem kürzer und besser als mein alter Weg über die Autobahnen.

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![[IC 5146 - Kokonnebel]]

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{{IC 5146 - Kokonnebel}}

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![[NGC 6786]]

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{{NGC 6786}}

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Abziehende Wolken und Calima. Sehr warm. Am Anfang windig, später windstill. Temperaturen fallen auf 9° Celsius. Mir ist richtig kalt, denn Wintersachen habe ich keine dabei. Am Anfang markiert das SQM-L durchschnittliche 21.62.

Erstmal wieder Staunen. Die Milchstraße ist so strukturiert, einfach immer wieder unglaublich. Mittlerweile erkenne ich besten Himmel bzw. Standorte quasi auf den ersten Blick: La Palma, Namibia und diesen hier. Alles eine Liga. 

Erstes Objekt ist Arp 261. Eine Nachschau. Versuche den Vordergrundstern zu erkennen und glaube ihn bei gutem Seeing hin und wieder zu erhaschen, aber schließlich breche ich ab.

Als nächstes Hubble 4. Leider ist das Seeing zu schlecht. Kann nur bis auf 420 fach gehen.

''Hubble 4:'' Sehr kleiner, runder, aber doch sehr heller Nebel. Schon bei 114 fach von Feldsternen unterscheidbar. Bei 420 fach wirkt der Nebel unruhig. Ringform angedeutet aber letztlich unsicher.

''NGC 6822 - Barnard's Galaxie:'' Bei 114 fach ist ein recht heller, großer Balken zu erkennen, der zur Mitte hin heller wird und in den Außenbereichen diffus ausläuft. Alle drei nördlich befindlichen Hubble-Regionen H X (IC 1308), H V und H I/III ohne Filter sichtbar.

''NGC 6786:'' Kleine, recht unscheinbare Galaxie. Kann dennoch recht hoch vergrößert werden. Bei 114 bis 420 facher Vergrößerung wird tatsächlich eine schwache Balkenspirale sichtbar. Spiralarme Blickweise immer wieder bei 290 fach sichtbar. Schwierig zu erkennen. In der Nähe "hinter" einem Vordergrundstern befindet sich UGC 11415. Ab 290 facher Vergrößerung wird ein schwacher asymmetrischer Hof sichtbar. Immer wieder mit in unmittelbarer Nähe befindlichem Stern verglichen. Beobachtung daher ziemlich sicher.

Dann IC 5146. D.H. Kopf verrenken. Steht nämlich im Zenit. Und dort tut sich der Beobachter i.d.R. schwer. Deshalb dauert es eine Weile bis der Nebel gefunden ist. Beobachte ihn dann mit UHC. Probiere auch Hß. Gefällt mir aber nicht. Vermutlich ein Fehler, denn der Hß-Filter entfaltet seine Wirkung quasi erst nach einer Weile, da er dass Bild sehr stark abdunkelt.

SQM-L markiert 21.72 im Mittel. Die Saharastaubwolke ist also abgezogen.

[[weiter>>|1. August 2016 - Pinar de Araceli]]

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Wie jeden Tag. Sonnig und klar. Abends fast windstill. Mond stört bis 23 Uhr. Seeing ist heute überraschenderweise gut. 

!!!Regulus Bedeckung durch den Mond

Als ich einen Sternenfreund in seiner Sternwarte besuche schauen ich kurz nach dem Mond. Ich sehe auf der unbeleuchteten Seite einen hellen Stern. Schnell schauen wir aufgeregt durchs Fernglas. Ich verabschiede mich, um im Teleskop zu schauen. Es ist Regulus, der da zu sehen ist. Ich mache noch ein Foto und denke, dass er nicht bedeckt werden wird. Wird er aber doch! Dann Hektik, denn ich will ihn auf der beleuchteten Seite per Video erwischen! Schnell wird ~SkySafari angeworfen und die App sagt das Auftauchen in ca. einer Viertelstunde vorher. Alles klar! Ich warte und bin schon ganz aufgeregt. Das Viedeo läuft, als ein schwacher Stern am hellen Mondrand auftaucht. Nein, das kann Regulus nicht sein. Viel zu schwach! Und da stehe ich und filme und warte auf ihn. Mittlerweile kommen die Kollegen schon um mich zum Abendessen abzuholen. Ich muss doch noch warten! Einer bemerkt lakonisch, dass Regulus wahrscheinlich schwächer erscheint, da der helle Mond ihn ja überstrahlen würde. Die Kollegen werden ungeduldig und ich bemerke schließlich, dass es sich bei dem schwachen Stern auf dem Monitor tatsächlich um Regulus handelt, denn mit bloßem Auge ist er bereits zu erkennen!

Nach dem Abendessen stört der Mond noch gewaltig. Aber das Seeing passt und so schaue ich mir helle PNs an.

[[NGC 5307]]: Hell, rund bei 100 fach. Bei 670 fach immer noch sehr hell. Ich vergrößere nochmal auf ca. 1200 fach. Jetzt wird auch der Zentralstern durchgehend sichtbar. Es zeigt sich ein Nebel bestehend aus zwei geraden, hellen Nebelbalken, fast Nord-Süd ausgerichtet, die windschief um einen schwachen Stern angeordnet sind. Beide Balken haben an den Enden helle Knoten. Im Westen sind sie durch eine diffuse, runde Nebelbrücke verbunden. Im Osten deutlich schwächer. Seeing 1-2.

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''//He 2-104//'': An der korrekten Position ist nichts zu erkennen. Der PN soll sich um einen der beiden Sterne eines Sternenpaars befinden. Variiere die Vergrößerung 450 fach, 670 fach mit UHC ohne mit OIII und ohne. Beobachtete Position zu 100% korrekt. Evtl. In ~SkySafari falsch, denn Helligkeit von ca. 14 mag sollte mit 25 Zoll machbar sein. Breche schließlich ab. Seeing 2.

Das Seeing wird wieder schlechter. Nach der Kaffeepause mit den Astrofotografen +4 Grad Celsius. SQM-L 21.76 im Sternbild Grus.

[[Henize 2-141]]: Bei 100 fach lässt sich dieser PN bereits erahnen. Bei 670 & 1200 fach ist ein kleiner, ovaler, recht heller Nebel zu sehen. Nördlich und Südlich helle Knoten, die durch eine helle Nebelbrücke verbunden sind. Nach Süden diffuser Bogen. Nach Norden diffuser Knoten mit Nebelbrücke. Komplexes Objekt, was sich erst nach einer Zeit erschließt. Sehr schwer zu beobachten. Reagiert  auf Nebelfilter.

Dies ist das letzte Objekt, welches ich gemäß meiner Beobachtungsliste einstelle. Jetzt muss ich den Ausstieg finden und nochmal Highlights einstellen, die einfach genial anzuschauen sind. Ich beginne mit M8 um dann auf die Galaxien NGC 253 - Sculptor Galaxie, NGC 300, NGC 55. Insbesondere NGC 300 mit ihrer schönen S-Form und den Knoten und Details gefällt mir besonders gut.  

Am Ende verfalle ich doch wieder in Panik. Jetzt noch schnell tausend Objekte in der Sommermilchstraße anfahren. M16 & M17, M24, B 142&143, M27 ist auch wieder dabei. Dann der Katzenpfotennebel...noch schnell ein Foto mit den Palmen...Dämmerung...durchdrehen!

[[<<Zurück zur vorherigen Nacht|30. Mai 2017 - Tivoli Astrofarm]] | [[Zurück zum Artikel >>|Namibia Mai 2017]]

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Heute ist die erste Nacht mit dem Bino-Dobson. 2x24 Zoll warten auf mich mit jeweils 2 Zoll-Okularen. Und für hohe Vergrößerungen steht mir Mathias mit seinem 3.7mm Ethos zur Seite. Ich selbst habe es auch. Also geht doch! Denn fairerweise wird darauf hingewiesen, dass das Gerät nunmal nicht für hohe Vergrößerungen ausgelegt sei. 🤔 Aber erstmal mit dem „Monster“ einsehen. 

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Wetter in der erste Nachthälfte bewölkt. Dann klar, allerdings mt schlechter Transparenz.

Kollimation geht gut. Bei Youtube gibt es ein Video, dass ich mir schon vorher ein paar Mal reingezogen habe. Ist gar nicht so schwer. Das Gerät verfügt über ~ArgoNavis und ~GoTo. Hierzu muss man mindestens zwei Referenzsterne in ~ArgoNavis einstellen und schon geht es los. Man hat dann auch eine automatische Nachführung, was sehr praktisch ist. Muss man aber alles nicht nutzen. Zum Pointing und Handbetrieb gibt es einen grünen Laser! Was die Astrofotografen dazu morgen wohl sagen werden...🤔

Lange Vorrede, jetzt geht es los. 20:00 Uhr WAT. Die astronomische Dämmerung ist schon längst da. Erstes Objekt und quasi mein persönliches First Light M4. Warum? Weil da keine Wolken sind. Denn es ist noch teilweise bewölkt. Dann geht es weiter zu M3. Auch schön. Omega Centauri. Besser! Leo-Triplet. Speziell M66. Beeindruckend hell. Nicht schlecht. M7 + NGC 6453.

SQM-L 22.70 im Zenit, wo eine dichte Wolken hängt.

!!!Wir warten weiter auf den versprochenen klaren Himmel. Wenn nicht, wollen wir unser Geld zurück.

So jetzt geht es mit Standardobjekten los. M8, M24, M16 und M17. B86, dem Tintenklecks und dem Snake-Nebula aka B72. Und wir werde nicht enttäuscht. Hauptsächlich beobachte ich jetzt mit dem 31mm Hyperion, die beide eine Vergrößerung von 85 fach liefern und das bei einem Gesichtsfeld von 72°. Dazu muss man aber wissen, dass der Weitwinkeleindruck im Bino deutlich größer ist. So hat mein 10x50 Feldstecher von Fujinon 65° und wirkt schon sehr weitwinklig.

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/4693ro"><img src="https://live.staticflickr.com/65535/48162542711_976a968fad_h.jpg"></a>Faszinierend wie die uns bekannte Sommermilchstraße am Nordhorizont vorüberzieht.</div>

''M104'': Sombrero-Galaxie. Hell mit gebogenem Staubband. Nicht schön wie vorgestern. Halo ist nicht rund sondern flach bis oval.

''NGC 4027'': Hell und kompakt. Zwei Spiralame sehr deutlich zu erkennen. Einfach sehr hell.

''Antennengalaxien'': Antennen sind leider nicht zu erkennen trotz max. AP. Vermutlich dem seifigen Himmel geschuldet.

''Eta-Carinae-Nebel'': Sehr schön. Glaube bereits die helleren Bereich - ähnlich wie bei M42 - ansatzweise Farben zu sehen. Mit OIII stark strukturiert.

''M16'': Säulen der Schöpfung: Die mittlere ist bereits in Übersichtsvergrößerung auszumachen. Die rechte, d.h. die kleine Säule, ist auch recht einfach zu sehen. 

''M17'': Der Schwanennebel. Sehr hell. Mit OIII sehr stark strukturiert. Selbst in den Außenbereichen zeigt er fasrige Strukturen. 

''Bug-Nebel'': Mit zwei mal Ethos 3.7mm haben wir den Bugnebel versucht. Nach einigem Hin- und her H
habe ich die Bilder auf beiden Augen zur Deckung gebracht. Leider zeigte sich der PN recht unscharf ohne Details, aber sehr hell. In der Tat scheint das Teleskop nicht auf hohe Vergrößerungen hin ausgelegt zu sein. 

''B72'': Die Schlange ist bei Übersichtsvergrößerung gut zu erkennen. Eindrucksvoll.

Matthias kommt vorbei. Wir gucken zu dritt Omega Centauri und 47 Tuc. Dann geht es zu IC 5148. Es zeigt sich mit OIII ein Rauchring, der aus einer äußeren, schwächeren Schale und einer inneren hellen Schale besteht, die sich oval und länglich in die helle, runde Schale einfügt. Weiter geht es zum Helix Nebel. Dieser zeigt sich sehr hell und im Innenbereichen ausgefranst. Es folgt NGC 6888 und Mathias meint, er säe so aus wie mit 18 Zoll in der Rhön. 

Der Bino-Dobson zeigt bei Kugelsternhaufen keine gut Abbildung. Die Sterne sind aufgeblasen und nicht nadelfein wie im 25 Zoll Mono-Dobson. Vermutlich liegt das auch an den riesigen Fangspiegeln.

Es geht weiter zu M12. Heller, konzentrierter KS mit Armen, die den KS um das doppelte überragen. Dann M13. Steht vor dem Untergang. Und schließlich steht der Zirrusnebel an. Zuerst die Knochenhand, die unglaublich hell und strukturiert mit OIII ist und dann der Sturmvogel. Diesen habe ich so noch nicht gesehen.

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Mathias verabschiedet sich und auch der Rest geht zu Bett. Ich tauche noch mal in die Kleine Magellansche Wolke ein. Der Mond geht kurze Zeit später auf und ist nur noch eine sehr schmale Sichel. 

[[<<Zurück zur vorangegangenen Nacht|30. Mai 2019 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|01. Juni 2019 - Tivoli Astrofarm]]

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Kräftiger Wind aus Südost. In Böen und dann auch wieder windstill. Seeing zunächst gut dann sehr schlecht. Laut TNG 1.9". Ist schon mit bloßem Auge zu sehen.

''//Jupiter's Geist - Äußerer Halo//'': Bei 65 facher Vergrößerung und UHC-Filter ist ad-hoc vom Halo nichts erkennbar. Leider stört der Mond noch. Nachdem der Mond untergegangen ist, beobachte ich schließlich noch mal bei 65 fach und UHC-Filter die Region. Leider ist auch nach intensiver Beobachtung nichts zu erkennen. Hin und wieder wird ein Nebel durch schwache Sterne vorgetäuscht. Was aber zu sehen ist, ist der schwache Halo um den Nebel selbst. SQM 21.63 im Zenit. 

Jetzt wird es ihm wieder gut. 0.9“ laut Seeingmonitor des TNG. 

__[[HCG 53]]__: PGC 35381 ist allenfalls erahnbar. Kann aber indirekt immer wieder neben einem Stern indirekt aufblitzend als länglicher, kleiner Nebel gesehen werden. NGC 3697B ist deutlich heller, aber die zweite schwächste Galaxie im Bunde. Es folgt die ebenfalls runde Galaxie 3697 C. Am hellsten ist NGC 3697, die spindelförmig mit sternartigem Zentrum ist. 

__[[HCG 54]]__: Steht ganz in der Nähe. Es wird zunächst eine spindelförmige Galaxie mit hellerem sternartigen Zentrum sichtbar. Bei Steigerung der Vergrößerung auf 420 fach kann hin und wieder südwestlichlich des Zentrums ein weiterer hellerer runder sternartiger Knoten erkannt werden. Weitere Komponenten nicht sichtbar.

Gegen 2:30 Uhr packe  ich zusammen. Der Wind hat zugenommen und erschwert die Beobachtung ungemein. +13.5° Grad Celsius. Nicht schlecht. Hatte es vor ein paar Tagen noch 0° C. Als ich eine halbe Stunde später im Haus bin, muss ich leider feststellen, dass es hier absolut windstill ist. So kann man sich irren. Als ich losgefahren bin, wehte hier ein kräftiger Wind. Und oben war es tatsächlich windstill. Interessant war für mich auch ein Vergleich des Seeings. Oben war es recht gut, aber als ich hier unten angekommen bin, haben die Sterne nur so gewackelt. Ich hätte fast mich zu der Aussage hinreißen lassen, dass das Seeing hier unten eben einfach immer schlechter ist. Zum Glück habe ich die Seite des IAC aufgerufen und musste feststellen, dass der Seeings  laut den Messungen oben auch nur um 2“ liegt.

Nach einem Gläschen kanarischen Rotwein draußen unter dem Sternenhimmel gehe ich schließlich ins Bett. Morgen ist der letzte Tag und da werde ich nicht beobachten, da der Mond bereits sehr stört. Am Morgen dann Calima ohne Ende. Der Wind hat übrigens laut der Wetterstation oben direkt nach dem ich abgebaut habe nachgelassen :) 

[[<<Zurück zur vorangegangenen Nacht|28. März 2017 - La Palma]] | [[Zurück zum Artikel>>|La Palma im März 2017]]

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/n4V7NA"><img src="https://live.staticflickr.com/7806/47573630641_2b499b536f_h.jpg"></a>Der Gegenschein kulminiert während ich beschäftigt bin so schnell wie möglich meinen Kram vor den Wolken in Sicherheit zu bringen.</div>

Verrücktes La Palma. Nachts begann es zu regnen und bis zum nachmittag hörte es nicht wieder auf. Dann Wolken am Abend aber diese drehen nach Westen ab. El Hierro, die kleine Insel südlich hat sie gar nicht gesehen. Hinter dem Regen strömt trockene Luft aus NW rein. Der Roque wäre optimal, aber der Luftdruck bleibt seit Tagen konstant niedrig. Das zieht die Wolken in die Höhe und der Roque ist seit Tagen und Nächten im Nebel. Deshalb ist hochfahren keine Option, solange der Luftdruck nicht wieder steigt. Unten klart es bei hoher Luftfeuchte dennoch häufig auf. Was für ein Glück, kann ich da nur sagen. Bei bisher allen Nächten wär zumindest kurz was gegangen. Die erste habe ich ausgelassen. Und gestern waren auch zwei Stunden drin.

!!Es klart auf

Es ist 22 Uhr und heute morgen war die Zeitumstellung. Die astronomische Dämmerung ist da. Ich werde schnell aufbauen und schauen was geht. Notfalls mache ich ein paar Fotos. Gut gedacht, aber leider sieht die Realität anders aus. Aber dazu später mehr.

Als erstes betrachte ich den Sternenhimmel mit bloßem Auge. Wow! deutlich besser als gestern und vorgestern. Transparenter und dunkler. SQM-L gibt mir recht. 21.86 im Zenit. Gestern waren es um dieselbe Zeit 21.7. Wow! Mache noch schnell eine All Sky Aufnahme. Das wird die [[Referenz für die Podona|All Sky Fisheye - La Podona]].

Um Mitternacht bin ich wieder im Haus und gönne mir ein Bierchen. Was ist passiert? Was wohl. Wolken und wieder einsetzender Nieselregen. Die Wolken waren viel schneller da als gedacht. Das sah auf dem Satellitenbild so weit weg aus. Tja. Beobachtet habe ich natürlich nix. Aufgebaut war alles. Habe dann eine Fotosession eingelegt. Am Ende musste ich wieder alles geschwind zusammenpacken. Stelle mir gerade vor wie es wäre so was hier mit einem 20 Zöller oder größer durchzuziehen. Unmöglich so schnell alles abzubauen. 

Als ich vor dem Haus stehe, sehe ich zwei „Doppelsterne“ die Llanos de las Animas runter kommen. Zwei Autos. Astronomen. Sicher sind sie auf „Athos“ und haben gedacht, dass es da oben besseres Wetter gäbe. Faszinierend, wie sie da runterfahren. 

!!Ich widme mich hauptsächlich der Astrofotografie

Ich habe einige Aufnahmen im Kasten. Habe zum ersten Mal den Startracker von Omegon genutzt. Mit einer Minute Belichtungszeit konnte ich mit 16mm, also äquivalent zu 24mm Vollformat, schöne Aufnahmen machen. Trotz Rotfolie auf dem Display war beim Orion Barnard‘s Loop und der Rosettennebel deutlich zu erkennen. Mit 56mm (entspricht 80mm Vollformat) waren allerdings Strichspuren zu erkennen. Keine Ahnung warum. 

Morgen Wolken. Übermorgen sehr viel Regen und danach mal sehen. Für das Wochenende ist wieder Regen angekündigt aber es könnte auch der Regen des Alisios sein, der nur im Norden und nicht in großen Höhen und auch nicht nachts sein Unwesen treibt. Es ist der „gute“ Regen, der hier typisch ist und dessen Wolken bei spätestens 2000m üNN enden. 

!!Bei Wein und Käse lasse ich die Nacht ausklingen 

Beim Wein und Käse aus La Palma sitze ich im Haus und schreibe diese Zeilen. Bin dann auf dem Weg ins Bett. Schaue nochmal raus. Klar. Wieder raus. Auto vorfahren. Teleskop auspacken. Aufstellen. Justieren. Geht alles flott. Muss aber aufpassen. Der Wein wirkt. Mache deshalb erstmal mit dem Startracker weiter. Wie vorhin. Nordpol muss die Ursache sein. Scheinern. Klappt. Perfekt. Jetzt ein paar Aufnahmen. Ausnüchtern. Ich genieße die Nacht mit bloßen Augen. Unglaublich dunkel heute und transparent. 

Wieder kommen Wolken auf. Und verschwinden wieder.  Erinnert mich irgendwie an Namibia letztes Jahr. Gab auch so eine Nacht. Aber hier sind die Wolken zu schnell. Noch ein paar Probeaufnahmen und dann wieder Abbau. Diesmal lasse ich mich nicht wieder reinlegen. Bin mit Fotografieren noch zwei Stunden zu Gange. Wäre sicher auch ne schöne Feldstechernacht geworden. Alle Sterne stehen still. Bis runter zum Horizont. Vermutlich bestes Seeing. Die Profis können das aber nicht bestätigen, denn die sind abgesoffen. Ich auch. Alles klatschnass. Zum zweiten Mal das Teleskop abbauen. Beobachtet habe ich nichts. Aber Megaroutine beim Auf- und Abbauen bekommen. Die Scheiben sind wieder von innen beschlagen. Dauert diesmal noch länger als beim Abbau zuvor.  

Und nochmal Wein und Käse. Dann ins Bett. War trotzdem vom Erlebnis her eine sehr schöne Nacht. Nein, ich gehe nicht nochmal raus, um zu gucken ob es wieder klar ist. 😜

[[<<Zurück zur vorangegangenen Nacht|30. März 2019 - La Palma]] | [[Weiter zur nächsten Nacht >>|02. April 2019 - La Palma]] 

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Es geht los mit dem Wind. Trotzdem versuche ich es heute nochmal auf dem Roque. Bleibe an der Auffahrt am Wasserbassin abseits der Straße an der Baumgrenze hängen. Auch nicht schlecht hier. Bei SW-Wind sicher ein schöner Platz. Mit dem Nordwind aber nix. 

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Im Nu steigen die Wolken auf. Über den Roque jagen sie schon. Die Wetterstationen quittieren das Ganze Geschehen mit über 90% Luftfeuchte. Das war's, obwohl ich die Hoffnung nicht aufgebe. Fahre nochmal hoch bis zur Baustelle. 

Keine Chance. Wind zu heftig. Lose Wolken. Also runter. Halte noch an diversen Buchten. An einigen ist es sogar windstill. Der beste dieser Plätze ist aber abschüssig. Schlecht zum Laufen. Kein Stuhl benutzbar. Blöd. Am Ende bin ich vor Mitternacht zu Hause. Dort fängt es an zu regnen. Nieselregen. Wie vorhergesagt. Gucke nach ein paar Wein immer wieder raus. Ups, am Ende klar. 

Auch wie vorhergesagt. Es ist Mitternacht. Soll für eine Stunde halten. Gibt es doch gar nicht, so genaue Vorhersagen. Ab und an ziehen Wolken aber noch in Horizontnähe durch, da wo der Roque ist. Also ins Bett. 

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Gegen fünf Uhr morgens aufgewacht. Quäle mich raus und werde mit einem perfekten Himmel belohnt. Doch nicht perfekt die Wettervorhersage. Da wär was gegangen diese Nacht.

!!!Morgens klart es auf

Kamera raus und ein Pano gemacht. SQM-L meldet im Schnitt 21.76. Nebenbei bemerke ich, dass es vor dem Haus praktisch windstill ist. 50m entfernt auf der Anhöhe, wo ich sonst beobachte, starker Wind. Versuche heute Nacht hier aufzubauen. Mal sehen, ob das geht. Scheint momentan der beste Beobachtungsplatz weit und breit zu sein.

Komet LINEAR ist auch zu sehen. Und das mit bloßem Auge. Auf dem Foto als verwaschener Nebelfleck fast senkrecht über M24 zu finden.

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[[Weiter zur nächsten Nacht >>|5. April 2016 - Trocha del Reventon]]

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Transparenz nimmt deutlich zu. Doch gegen Abend kommen Zirren auf. Ab 04:00 Uhr soll dann Schluss sein. Sei's drum. Erstes Objekt ist M20. Beginne eine Zeichnung bereits vor der astronomischen Dämmerung. Das Teil ist schließlich hell und die Sterne wollen schließlich auch gezeichnet werden.

''M20:'' Sehr heller Nebel. Beste Vergrößerung bei 168 fach. Bester Anblick ohne Filter. Interessant ist, dass der Reflexionsnebel fast genauso hell ist wie M20 selbst.

Um 23:30 Uhr zeigt das SQM-L im Zenit 21.8 an. Rekord!

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![[M20 - Trifidnebel]]

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{{M20 - Trifidnebel}}

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Es geht daher weiter mit einem anderen interessanten Objekt dem Ursa Minor Dwarf.

''UGC 9749 - Ursa Minor Dwarf:'' Steht nur 45° über dem Horizont. Trotzdem zeigt das SQM-L für diesen Himmelsabschnitt direkt mal 21.72 an. Bei 56 fach ist leider nichts, d.h. nichts zu sehen. Leider. Und das trotz intensiver Beobachtung. Probiere Schwenken aus. Aber rein gar nichts von der Galaxie zu sehen. Blickweise werden im Zielgebiet ein paar schwache Einzelsterne sichtbar, so dass man vielleicht geneigt sein könnte dies als positive Indizien zu deuten. Für mich aber nicht.

Plötzlich röhrende Geräusche aus dem 100m entfernten Wald. Ok. Rotwild. Panik! Ganz ruhig. Ich bin groß und stark. Was mich wirklich wundert ist, dass sie sich so nah an mich heran trauen. Habe heute zum Mittag Rehwürstchen gegessen ::)))))

Im Anschluss schaue ich mir NGC 6210 bei ca. 800 facher Vergrößerung an. Das Seeing ist Blickweise immer wieder gut. Aber dem Objekt lässt sich nichts eindeutiges an Struktur entlocken. Immer mal wieder deutet sich was an, um dann wieder zu verschwinden.

Dann geht es zu NGC 6623. Suche und finde zunächst nichts. Dann ein Blick zum Himmel. Milchig. Und rasch ist der gesamte Himmel betroffen. Vom Pinar in die Rhön. Wie gemein! Aber das SQM-L quittiert das Ganze mit Werten um 21.4. Später dann 21.59. Doch keine Rhön :) Aber es bleibt bei dem milchigen Eindruck und ein Blick in die Wetteronline App zeigt, was das für Wolken (es sind Zirren) sind und verspricht keine Besserung für die nächsten beiden Stunden. Ok, das war's. Könnte jetzt auch eine improvisierte KS Tour hinlegen, verzichte aber. Mir fällt noch auf, dass die Lichtglocken, vor allem im Osten deutlich zulegen. Ist doch nicht das Dorf in der Nähe, sondern wie vermutet Murcia bzw. die Almeria Region. Zwar ist diese wohl mehr als hundert Kilometer entfernt, aber das sieht man trotzdem noch. 

Pack schließlich zusammen und bin schon um drei Uhr im Bett. Höre noch wie der Zimmernachbar kommt. Habe ihn nachmittags mit einer Tasche gesehen, die vielleicht zu einem Jagdgewehr gehören könnte. Ob die Wolken auch ihn störten :)

[[weiter >>|5. August 2016 - Pinar de Araceli]]

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43811000212/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/854/43811000212_4ac14af7ac_h.jpg" ></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Wolken am Abend der ersten Nacht.</div>

Tagsüber bewölkt und diesig. Nachts aufklarend, aber mit schlechter Transparenz. Kein Wind. Seeing ist nicht gut. Auf Jupiter sind die wesentlichen Strukturen aber erkennbar. Bei Mars dasselbe. Stelle fest, dass man bei 100 fach die Albedostrukturen viel besser sieht als bei 454 fach. SQM-L 21.68.

Zuerst schaue ich mir die Planeten an. Venus, Mars, Jupiter & Saturn. Dabei sehe ich bei 454 fach zunächst beim Mars nichts. Bei 278 fach und einem Graufilter ND=0.9 ist Mars sehr gut zu sehen: Nördliche Polkappe, Syrtis Mayor ist blass zu erkennen. Mit dem Filter wird auch die charakteristische Farbe sichtbar. Sonst ist der Planet im 25 Zöller schlicht zu hell. Das Seeing ist nicht gut. Aber richtig schlecht auch nicht. Schätze Seeing 3. Mache noch ein Foto.

''Mars'': Gegen 22:00 WAT wird das Seeing richtig gut. Beobachte Mars mit 8mm Pentax XP - einem Dinosaurier von einem Okular. Es liefert eine Vergrößerung von 312 fach. Dazu der ND=0.9. Es wird ein bläulich, „liegendes X“ sichtbar. Darüber hinaus die größere, aber schmälere südliche Polkappe, sowie die nördliche, die kleiner ist, aber viel deutlicher zu sehen ist. Sie zeigt sogar nahe am Rand einen parallele, sehr gut definierte, schwarze Kante, die innerhalb der Polkappe liegt. Am Rand, gegenüberliegend, ebenfalls schwache Albedostrukturen, die an die nördliche Polkappe anschließen. Markantes Teil des „X“ ist die Syrtis Mayor, die in der Mitte dunkler wird. Die Albedostrukturen sind blass bläulich, der Planetenkörper hell orange. Sehr schön! Seeing 2.

Schließlich geht es zum Jupiter. Nix zu sehen. Seeing schlecht. Gibt es doch gar nicht. Doch, denn zurück beim Mars ist dieser jetzt auch viel schlechter zu sehen. 

So genug getrödelt! Mittlerweile nur noch +4 Grad C. 

[[NGC 6302 - Bug Nebel]]: Sehr komplexer Nebel! Er zeigt sich schon bei 100 fach als kleines Insekt. Wie ein „Ohrenkneifer“ sieht er aus! Es zeigt sich ein sehr helles Zentrum, das oval ist. Von hier gehen mehrere Zangen ab mit hellen Knoten. Östlich zwei lange schwache „Schwänze“, wobei einer deutlich länger und mit helleren Knoten. Das Seeing ist phasenweise sehr gut. Seeing 1-2. 

Temperaturen fallen auf + 1 Grad C. Der Himmel im Osten ist schon heller. Jeden Moment müsste der Mond aufgehen.

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Milchstraße über Tivoli kurz nach Mondaufgang. Bis drei bin ich jetzt noch zu Gange. Mars ist wieder eindrucksvoll zu sehen und das Seeing ist wieder sehr gut. Die Transparenz wird wieder deutlich besser. Das ist schon mit bloßem Auge gut zu erkennen. Als der Mond deutlich über dem Horizont steht und die Sommermilchstraße bereits tief im Westen hängt, bin ich auf dem Weg ins Bett.

[[<<Zurück zum Artikel|Namibia August 2018]] | [[Weiter zur nächsten Nacht >>|5. August 2018 - Tivoli Astrofarm]]

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Morgen früh soll das Tief eintreffen. Dies verspricht zumindest noch mal eine gute Nacht zu werden. Dann könnte es ein oder zwei Tage Pausen geben.
Auf dem Roque ist die Luftfeuchtigkeit auf 60 bis 70% gestiegen.
Schon direkt nach Beginn der astronomischen Dämmerung ist ein Wahnsinssternhimmel zu sehen. Das SQM-L schnellt auf 21.6 hoch. Vermutlich liegt die Insel bereits unter Wolken oder aber die Transparenz ist perfekt. Oder aber beides. Erinnert mich irgendwie an Namibia. Das Seeing diese Nacht soll auch sehr gut sein. Es ist die dritte Nacht hintereinander praktisch windstill. Nur am frühen Morgen lebt der Wind aus W bis NW auf, mit dem auch das Tief ankommt :)

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![[Abell 194]]

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{{Abell 194}}

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Erstes Objekt sind die Galaxien um Abell 194. Werde insgesamt über zwei Stunden mit ihm verbringen und der entsprechenden Zeichnung.

[[Abell 194]]: NGC 545 & 7 springen als helle sehr dicht bei einander stehende Galaxien ins Auge. Bei 114 fach bzw. 168 kommen weitere hinzu. 

Erarbeite mir viele weitere. Bin mir nicht sicher, ob ich die mit diesem Gerät sehen sollte, da viele lt. Sky Safari sehr schwach sind. Ich sehe sie aber einfach :) Am Besten man nutzt die POSS-Karten und arbeitet sich am Haufen ab. Irgendwann mache ich einen Cut. Sonst würde ich vermutlich immer noch an Abell 194 sitzen.

Luftfeuchtigkeit bleibt hoch und steigt sogar. Auf dem Autodach hat sich Raureif gebildet, der ein paar Stunden später wieder zu Wasser wird. Rest ist und bleibt trocken.

Dann probiere ich nochmal den Eskimonebel. Das Seeing ist gut. Vergrößerung bis 800 fach möglich.

[[NGC 2392 - Eskimonebel]]: Helle, ovale , ein bisschen unregelmäßige, gut definierte Nebelschale, die einen Stern umgibt. Weitere diffuse z.T. ausgefranzte, sehr breite Schale bildet den Aussenbereich. Nördlich zeigt sich ein hellerer eingebetteter Bogen. Alles ist in grün gehalten.

Es geht weiter zum Spirographennebel.

[[IC 418 - Spirographennebel]]: Ovaler, heller Nebel um einen recht hellen Stern. Begrenzt durch eine gut definierte elliptische Schale, die an den Enden schwächer wird und auszufransen scheint. Dort werden auch blickweise kurze Ansen sichtbar. Außerhalb ist ein schwacher Halo zu sehen.

Ich unterbreche die Beobachtungen immer wieder um mit bloßem Auge zu beobachten. M33 ist ein tatsächlich direkt sichtbares Objekt. Geradezu auffällig. M31 ein Scheinwerfer. Nicht bloß, dass der Galaxienkörper vom Zentrum gut zu unterscheiden ist. Auch die äußeren Bereiche sind hell und im Vergleich zu M33 geradezu gleißend.

Das Himmelsareal, was dem Orion voran geht ist nahezu pechschwarz. Der Gegenschein ist außerhalb der Zwillinge auffällig. Die ebenfalls auffällige, aber etwas schwächere Lichtbrücke verbindet ihn mit dem Horizont. Der Himmel ist in mehrere dunkle Areale unterteilt. Selbst bei 30° Grad über dem Horizont, z.B. am Polarstern ist der Himmel dunkel und das SQM-L quittiert 21.5 im Mittel.

Dann wieder ein Objekt aus der Liste. 

''Purgathofer 1:'' Bei 114 fach und OIII wird ein runder Nebel, der mit zwei Doppelsternen ein fast gleichseitiges Dreieck bildet, sichtbar. Kann indirekt recht gut gehalten werden. Könnte auch ein Abell PN sein.

Hatte ein Extremobjekt vermutet. Ist es aber definitiv nicht. Vermutlich das nächste ist es aber.

''EGB 4:'' An der richtigen Position ist bei 168 fach und UHC-Filter etwas nebliges zu erahnen. Soll sich um eine Art Fahne direkt an bzw. neben einem Stern handeln. Leider kann ich aber nichts definitives außer der gerade geschilderten "Ahnung" erkennen. Leider nichts gesehen.

Mittlerweile ist der Mond schon wieder da. Es ist mit 3° Celsius und ca.75-80% Luftfeuchte auch gefühlt sehr kalt. Muss sogar die zufällig im Gepäck aufgetauchten Handschuhe anziehen. Schnell noch einen Blick auf Jupiter werfen. Bei 168 fach sind alle Details sehr schön zu erkennen. Seeing ist weiterhin sehr gut. Leider hat der Wind aufgefrischt und bläst aus W bis NW. Ich packe alles recht flink ein, denn nichts wäre blöder, als noch von einer Wolke erwischt zu werden, welche die gesamte Ausrüstung nass macht. Insgesamt eine Top Nacht. Vermutlich der Bewölkung geschuldet, welche die Ganze Insel bedeckt. Auf der Abfahrt gerade ich in dichten Nebel und anschließend Regen. Das Tief ist da.


[[Weiter zur nächsten Nacht >>|5. Januar 2016 - La Podona]]

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/26284588974/in/datetaken/" title="panno 4000x1700"><img src="https://farm8.staticflickr.com/7704/26284588974_440f7d183d_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Die Bedingungen sind außergewöhnlich gut. Die Transparenz ist hervorragend. 7timer.com würdigt dies mit nur zwei blauen Balken bei der Vorhersage der Transparenz. Besser geht es kaum und kommt auch nur sehr selten vor. Sonne zeigt beim Abdecken mit einem Finger keinen Hof. 

Ich schwanke noch zwischen zwei Plätzen. Ich habe aber Zeit, denn die weißen Nächte sind nicht mehr fern und die Dämmerung dauert lange. Finde den neuen Platz aber nicht. Kehre deshalb zum Stammplatz zurück. Dann gibt's Trouble beim Aufbau. Irgendwie ist der Wurm drin. Kolli klappt nicht. Panik. Mache den Maschinisten. Dann geht's. Pünktlich zur astronomischen Dämmerung. Puhhh. Muss erstmal wieder runterkommen. Musik! Dann geht es mit NGC 4725 los. Ist eine Nachschau, denn ich habe die Galaxie bereits vor einem Monat beobachtet. 

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![[NGC 4725]]

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{{NGC 4725}}

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''NGC 4725:'' Ähnlich gut wie auf La Palma zu sehen. Der fehlende Spiralarm wird jetzt als versetzter Knoten am südwestlichen hellen Ende sichtbar und läuft diffus parallel zum Galaxienkörper aus. Schwierig und nur immer wieder blickweise erkennbar.

Danach Abell 1656. Mann o Mann. Mit der Zeit tauchen unglaublich viele Galaxien auf. Der Haufen wird mich drei Tage auf Trapp halten.

Zum Schluss M57. Blickweise ist sogar der Zentralstern bei 320 fach zu erkennen. Die Nacht startet mit guten 21.60. Gegen 03:00 Uhr dann sogar 21.8. Sogar mehrfach gemessen. Beschließe spontan ein Panorama zu schießen, auch wenn eine gute halbe Stunde Beobachtungszeit drauf geht. Solche genialen Bedingungen lassen sich so am objektivsten festhalten. 

Der Unterschied zu La Palma vor einem Monat ist denkbar gering. SQM-L Werte sind vergleichbar. Dunkelheit im Zenit auch. Aber dennoch scheint es, dass die Transparenz einen Ticken schlechter ist. Milchstraße ist tatsächlich etwas blasser. Der Unterschied ist sichtbar, lässt sich aber schwer quantifizieren. Wird bei B142 & 143 im Feldstecher auch knapp sichtbar, wo der Himmelshintergrund einfach etwas heller scheint. Dennoch ist der Himmel sehr eindrucksvoll. Unglaublich, dass es sowas Deutschland noch gibt. Bin ganz aus dem Häuschen. Gegen kurz nach drei ist dann Schluss. Schade. Das ist das einzige Problem hier. Im Sommer gibt es leider keine Nacht. 

Die guten Bedingungen habe ich bisher auch nur im Frühjahr angetroffen. Im Herbst dominiert der Nebel und auch schon häufiger Hochnebel. 

Kalt ist es. +2.5 Grad Celsius. Gut das ich die Winterklamotten dabei habe. Taupunkt wird nicht erreicht. Für morgen ist Wind angekündigt.

[[Weiter zur nächsten Nacht >>|5. Mai 2016 - Rhön]]

<div class="tc-link-info-item-medium" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/30013431572/in/datetaken/" title="Untitled"><img src="https://c5.staticflickr.com/6/5130/30013431572_841636dbc2_z.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Arp 331 wird beobachtet und gezeichnet.</div>

Und nochmal Stumpi. Anfang Oktober. Es regiert mittlerweile der Nebel. Auf der Wasserkuppe sogar lt. Vorhersage etwas mehr. Hoffe, dass das Ganze hier heute etwas hält. Es ist klar und im Verhältnis zur letzten Beobachtung vor eineinhalb Wochen deutlich frischer. Transparenz ist top. Hoffentlich bildet sich kein Hochnebel.

!Der Beobachtungsplan

Objekte sind vorbereitet. Habe wieder einen KS im Programm: M56. Dann soll es eine Nachschau zu Arp 113 geben. NGC 71A ist mir entgangen. Dann sollen Stephan's Quintett, Jones 1,  NGC 838 - Gruppe oder Arp 331 und Jones-Emberson 1 beobachtet und gezeichnet werden. Mal schauen, was da noch geht. Scheint die letzte Möglichkeit für dieses Jahr zu sein. Das Seeing ist nicht so gut. Vergrößerungen bis 290 gehen gut, wenn man Geduld zeigt, denn dann wird das Bild phasenweise gut. 430 sind aber heute zu viel.

!Wetterbedingungen sind gut. Es ist winterlich.

Die Temperaturen die Nacht über sind mit +5° C frisch. Feucht ist es. Hält sich aber mit 85% lt. Wetterstation Ullrichstein in Grenzen. Das SQM-L mag den Himmel heute aber nicht. Um die 21.2 pendeln die Werte. Am Anfang nur 21.15. Trotzdem ist der Himmel gut, aber es ziehen Schleierwolken durch. Ab und zu kommt eine Brise auf. Die Windräder im Süden sind jedenfalls gut beschäftigt. Das Geräusch der Rotoren dringt recht laut zu uns herüber.

Am Anfang gibt es Trouble. Haupt- und Fangspiegel wollen nicht zusammenfinden. Alles wieder abbauen, Hut & Stangen. Nochmal. Jetzt geht's. Kurz vor der astronomischen Dämmerung steht dann zum Glück alles. Habe gar keine Zeit über den Platz zu gehen und mit den Leuten zu quatschen. Mein direkter Nachbar ist keine 20m mit seinem Zelt entfernt.

__[[M56]]__: Bei 168 fach wird ein dreieckiger KS sichtbar. Aufgelöst bis ins Zentrum. Keine Helligkeitzunahme zum Zentrum hin. Der KS ist als solcher lediglich durch seine Sterndichte als solcher identifizierbar. Bei indirekter Beobachtung zeigt sich abseits der dreieckigen Form ein eher runder diffuser Halo. Westlich versprengte unregelmäßige Sternengruppe. KS von drei helleren Sternen "eingerahmt".

Jetzt gehe ich mal zum Nachbarn rüber. Stelle mich vor. Roland betreibt hier Astrofotografie. Weiter oben erzählt er, gäbe es noch einen weiteren Dobson. Die Sternwarte ist auch besetzt und davor sind auch Leute aktiv. Wir schwelgen ein wenig in alten Zeiten. Fotografie mit Film und Nachführung am Okular. 

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[[M56]]

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__[[Jones 1]]__: "Der galaktische Kopfhörer". Nord- und südlich von Ost- nach West verlaufende, leicht geschwungene Nebelfilamente. Werden am Besten bei 168 fach und 114 fach mit OIII sichtbar. Sind westlich durch eine schwache, runde Brücke verbunden. Bester Anblick bei 114 fach und OIII.

__[[Arp 113]]__: Nachschau. Nach einer Diskussion auf astrotreff.de habe ich mich nochmal drangesetzt. Bin verdutzt, da NGC 71A auf der Zeichnung an der richtigen Position ist. Hier gibt es nix zusätzlich zu außer eine schwache Galaxie zwischen NGC 71A und einem Stern. Bei dem Stern scheint es sich aber um eine Galaxie zu handeln. Oder doch nicht ? In der Mitte dann die schwache diffuse Galaxie. Kann ich mit Mühe Blickweise erkennen. Lt. Sky Safari handelt es sich um PGC 1887599 bzw. PGC 1887687, beide jenseits der 16 mag. Beobachtung ist aber sicher. Insgesamt fällt auf, dass trotz miesen SQM-L Werten die Transparenz top ist. Alle NGC Galaxien sind hell und das bei 290 fach. NGC 71A ist praktisch ein auffälliges Objekt. 

Nach der Disskusion auf [[astrotreff.de|http://www.astrotreff.de/topic.asp?TOPIC_ID=200460&whichpage=2]] handelt es sich tatsächlich um einen Stern.

!Der Gegenschein ist schwach im Süden als ovaler, diffuser Fleck erkennbar.

__[[NGC 383 - Gruppe]]__, HCG 16 bzw. Arp 318: Schöne und recht helle Galaxiengruppe. NGC 379 ist spindelförmig. NGC 380  rund bis leicht oval. NGC 383 ebenfalls rund und 382 länglich. Kern von 383 ist heller als 382 selbst und etwa doppelt so groß. NGC 386 ist rund und recht klein. 385 & 386 ebenso, aber einen Ticken heller. Beide etwa gleich hell. NGC 388 mit sternartigem Zentrum. Sehr schwach. Alle anderen Galaxien haben Helligkeitszunahme zum Zentrum hin, aber keine sternartigen Zentren. 375 rund und diffus. 373 ganz ähnlich.

Schließlich schaut sich Roland die Gruppe um NGC 383 an und kann die Galaxien ganz gut erkennen. Die Zeit über sieht man Wolkenbänke von NO nach Süden vorbei ziehen. Nur hin und wieder verirrt sich etwas störendes hierher. Doch jetzt zieht es erstaunlich schnell zu. Dahinter wieder eine Lücke, aber das sieht insgesamt nicht gut aus. Und mit der Edge-Verbindung zeigt das Handy nach einer gewissen Zeit an, Dass da noch mehr kommen soll und bis nach drei Uhr leider keine Besserung in Sicht ist. Der andere Dobsonaut hat es richtig gemacht, als er gegen halb zwei abgebaut und nach hause gefahren ist. Roland packt auch ein. Er hat die Satellitenbilder gecheckt und gibt auch auf. So baue ich schließlich ab und sehe noch den Orion zwischen zwei Wolkenbänken beim Aufgang zu. Mein Blick schweift über die Milchstraße, die trotz Wolken schön transparent von Horizont zu Horizont zu sehen ist.

[[<<Zurück zur vorangegangenen Nacht|25. September 2016 - Stumpertenrod]] | [[Zurück zum Artikel>>|Laue Sommernächte im Herbst]]

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/rAM7uY" title="Untitled"><img src="https://live.staticflickr.com/65535/51437527844_50c0e8ef09_h.jpg"></a>Ende einer erfolgreichen Beobachtungsnacht. Die Wintersternbilder stehen schon in den Startlöchern. Links ragt das Zodiakallicht hinein. Am Horizont lässt sich schon erahnen, dass bald der Hochnebel die Regie übernimmt. </div>

Die Vorhersage ist tatsächlich schlecht. Aber dennoch wage ich erneut die weite Anreise in die Rhön. Ursprünglich wollte ich hier einige Tage übernachten, aber leider ist hier nichts mehr frei. Also pendle ich jeden Tag hin und her. 

Noch mal zurück zur Vorhersage. Offenbar ist diese jetzt nicht mehr so positiv. Es haben sich wohl Quellwolken gebildet und die Frage ist ob diese auch die Nacht dominieren werden. Die Vorhersagen meinen ja. Andere wiederum sehen das nicht so dramatisch wenngleich niemand so richtig „klar“ vorhersagt.

Ich werde trotzdem fahren. Denn falls die Nacht mit Wolken durchsetzt ist, werde ich einfach ein paar Fotos machen. Das kommt selbst mit Wolken ganz gut. Und im Zweifelsfall kann ich einfach früher zurückfahren, denn ich werde morgen ebenfalls versuchen zu beobachten. Danach soll’s dann definitiv Wolken geben.

!Der Ranger…

Treffe heute später am Beobachtungsplatz ein. Da steht ein Campingbus! Oh nein, ist mein erster Gedanke. Was soll’s. Ich parke und spreche den jungen Mann an. Möchte auch Astronomie hier machen. Heute heißt das natürlich: fotografieren! Ich erkläre ihm, dass wir hier eigentlich nicht stehen dürfen. Er mit seinem Wohnmobil schon gar nicht. Wenn wir erwischt werden, gibt es Ärger. Stelle noch ein paar andere Fragen, nämlich die zum Beispiel nach Rotlicht. Hat er natürlich nicht dabei. Am Ende kriegt er kalte Füße und verzieht sich einige 100m weiter auf den nahen Parkplatz. Puh, das war knapp. Derweil baue ich auf und bin allein. Als es schon recht dunkel ist, sehe ich eine sehr, sehr helle Stirnlampe im Gelände um herlaufen. Ruhig verhalten, vielleicht sieht er mich nicht. Dann sehe ich wie ein Auto auf mich zukommt. Mathias? Nein, steigt eine Person aus und spricht mich direkt an. Ranger. Ob ich das Schild nicht gesehen hätte? Mmmhmmm…die Stirnlampe ist mittlerweile auch da. Der Ranger beginnt ein Fragespiel. Was die Stirnlampe hier mache? Aufnahmen der Milchstraße…später. Mmmmhmmm, entgegnet dem Ranger, aber nur kurz. Zu mir: zusammenpacken und auf den Parkplatz. Kurz entgegne ich, dass ich kein Ärger machen und auch kein Licht und auch keine Musik oder so. Nix, ich störe die Natur. Verstanden. Ich packe zusammen und suche den Parkplatz auf. Vollgestellt mit Wohnmobilen. Dort treffe ich den jungen Mann wieder. Der Ranger hätte auch ihn angesprochen und auch alle anderen auf dem Platz. Sie dürften nur maximal 10 Stunden hier verbleiben und müssten dann weiter. Mit ihren Wohnmobilen versteht sich. Hier ist es mir aber zu unruhig und die Bäume stören auch. Ich fahre Richtung Lange Rhön. Dort gibt es einen weiteren Parkplatz, wenngleich er nicht befestigt ist. Dort angekommen ist es Mega feucht. Auf dem Parkplatz stehen mehrere Autos, und auch ein paar Gestalten. Keine Ahnung was die dort machen, aber hier kann ich nicht bleiben. Etwas abseits gibt es einen kleinen Wanderparkplatz. Auch hier ein Wohnmobil. Also wieder weiter. Zurück durch die Lange Rhön. An einem Wirtschaftsweg steht ein Auto. Zwei Menschen mit Warnwesten davor. Okay, hier ist irgendwie eine Jagd im Gange oder man möchte hier heute Nacht irgendwie „aufräumen“. Letztlich bleibt das unklar, aber ich suche das Weite. Ich fahre rüber nach Thüringen, denn da scheint mir die Lage etwas entspannter. Ich passiere Frankenheim und suche in der Nähe einen Parkplatz auf. Gibt es doch nicht! Hier gibt es auch drei Wohnmobile. Krass! Schließlich fahr ich wieder Richtung Schwarzes Moor. Bleibe am Ende auf der thüringischen Seite auf einem winzigen Parkplatz zwischen zwei kleinen Ortschaften. Dort gibt es niemanden. Würde gerne die Stichstraße weiter reinfahren, aber falls jemand nachts kommt, kommt er nicht vorbei. So bleibe ich vorne am Parkplatz und alle vorbeifahrenden Autos stören enorm. Aber was soll’s! Keine andere Wahl. Ich baue auf und bin noch total aufgewühlt. So ein hin und her bin ich nicht gewohnt. Jedenfalls in der letzten Zeit nicht. Es ist schon ein Drama! Im Naturschutzgebiet findet man dunklen Himmel, aber beobachten darf man praktisch nicht. Natürlich kann man auf den ausgewiesenen Flächen aufbauen, aber dort ist man mit zig Leuten konfrontiert. Ab 2015 war ich häufig auf Parkplätzen. Dort traf man niemanden an. Wohnmobile ja schon gar nicht. Aber in der Corona Zeit hat sich das offenbar geändert.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;">  <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/" title="Untitled"><img src="https://live.staticflickr.com/65535/51426488912_5855760612_h.jpg"></a></div>

Nun gut. Alles steht und ich habe sogar die Fotomontierung aufgebaut. Der Himmel ist gut und aufgrund der weit entfernten Moore ist es hier sogar richtig trocken.

Hin und wieder ist das Röhren eines Hirsches zu hören. Scheint Brunftzeit zu sein.

!“Pacman“ Nebel - [[NGC 281]]

NGC 281 hab ich schon häufig beobachtet. Was ich aus dem Kopf noch weiß ist, dass der UHC Filter besser wirkt als ein OIII. Probiere dennoch beide aus. UHC ist besser! Er dunkelt die schwachen Bereiche nicht so stark ab. Insgesamt wirkt das Bild deutlich natürlicher. So beobachte ich circa zwei Stunden, um die schwachen Konturen zu entdecken. Parallel bin ich ebenfalls mit der Astrofotografie beschäftigt.

Tatsächlich kommt heute niemand durchgefahren. Erstaunlich! An der nahe gelegenen Straße hingegen fahren circa alle 10 Minuten Autos vorbei. Echt nervig. 

Kurz nach vier schließlich sehe ich mehr zufällig, dass hohe Wolken aufgekommen sind. Offenbar Hochnebel.

Ich halte bis 4:30 Uhr durch. Dann packe ich zusammen und mach noch einen Schlenker um einen potentiellen Beobachtungsplatz zu sichten. Funktioniert leider nicht, denn der befindet sich an einem nahen Waldrand und ist daher ungeeignet. Tja, durch die sich weiter verschärfenden Maßnahmen im Naturschutzgebiet verschwinden nach und nach wirklich gute Beobachtungsplätze, da man einfach dort nicht aufbauen darf und falls doch eben sanktioniert wird. Ich habe den Eindruck, dass man in Thüringen da deutlich entspannter ist und daher werde ich auf dieser Seite nach neuen  Beobachtungsplätzen schauen. Als letzte Alternative bleibt natürlich die Wasserkuppe. Aber dort ist man tatsächlich noch in der Lichtglocke von Fulda. 

Übrigens: das kam beim Thema Astrofotografie raus.

![[IC 1396]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/14hm49" title="IC 1396"><img src="https://live.staticflickr.com/65535/51708902888_d800ebcf5b_k.jpg"  alt="IC 1396"></a>

Komme das erste Mal in letzter Zeit tatsächlich im hellen zu Hause an. Überprüfe noch das ein oder andere Foto und dann geht es sofort ins Bett. Schlafe bis Mittag durch und stehe erst zum Essen auf. Geplant ist eine weitere Nacht, die aber schließlich doch ins Wasser fällt. Gegen Abend fällt mir auf, dass die Transparenz merklich zurückgegangen ist. Deshalb gibt es keine weitere Nacht, aber möglicherweise am Mittwoch.

[[<< Zurück|3. September 2021 - Lange Rhön]] | [[Zurück zur Beobachtungsübersicht >>|Sommer & Herbst 2021]]

Objekt: 46P/Wirtanen, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[29.12.2018|29. Dezember 2018 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40345803513/in/dateposted-public/" title="46P/Wirtanen"><img src="https://farm8.staticflickr.com/7807/40345803513_6dfce3f300_c.jpg" alt="46P/Wirtanen"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40345803523/in/dateposted-public/]]

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<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26311362441/in/datetaken/" title="Untitled"><img src="https://farm2.staticflickr.com/1656/26311362441_ed02a17262_n.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>
Platz an der Einfahrt zur Feuerschneise.</div>
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<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25758630824/in/datetaken/" title="Untitled"><img src="https://farm2.staticflickr.com/1512/25758630824_c207db3e1f_n.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Hier geht's steil bergauf, obwohl es nicht so aussieht.</div>
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Seltsame Gewächse tauchen am Wegesrand auf.</div>
<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;">
<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/26311345621/in/datetaken/" title="Untitled"><img src="https://farm2.staticflickr.com/1493/26311345621_4e08919eae_n.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Am Horizont tauchen die Teleskope auf.</div>
<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;">
<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25774719413/in/datetaken/" title="Untitled"><img src="https://farm2.staticflickr.com/1635/25774719413_3b37cc55b1_n.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Hier oben hat die Sonne keinen Hof.</div>

Tagsüber versuche ich ein paar geeignete Beobachtungsplätze, die windgeschützt sind, zu finden. So komme ich auch an der Feuerschneise vorbei, die von Puntagorda in die Gipfelregion des Roque führt. Oben angekommen ist es kaum windig und der Himmel sehr transparent. Die Sonne zeigt beim Abdecken mit einem Finger keinen Hof und als ich etwa 1000m tiefer angelangt bin auch nicht, aber der Himmel ist milchiger. Oben hatte ich dazu ein Foto gemacht und ich kam auf die Idee es zu wiederholen. Die Automatik der Kamera schießt exakt das gleiche Bild. Lediglich die Belichtungszeit ist unten kürzer. Oben waren es bei ISO 125, Blende 5.6 eine Belichtungszeit von 1/640 sec.

Unten änderte sich die Belichtungszeit auf 1/800. Ne kein Beweis, der wissenschaftlichen Kriterien standhalten würde. Dazu hätte ich oben mehrere Aufnahmen machen müssen und anderes mehr. Der zeitliche Unterschied zwischen den Aufnahmen ist etwa 10 bis 15 min. Da sieht man mal wieder, was die Höhe ausmacht. Visuell war der Unterschied gering, aber eindeutig auszumachen.

<div class="tc-link-info-item-medium" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26337494466/in/datetaken/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1520/26337494466_98a662e0f3_h.jpg"></a></div>

So mache ich mich wieder auf dem Weg zum Essen und am Ende zum Sonnenuntergang stehe ich oben. Aber: Es ist verdammt windig. Und damit meine ich windig! Lt. Vorhersage von 7timer.com soll er sogar noch zu legen. Also wieder runter. An der ersten Parkbucht gehalten und angefangen aufzubauen. Stopp! Süden ist nicht zu sehen. Sirius ist zu sehen, steht aber hinter einem riesigem Baum. Geht nicht. 

Also zu Fuß schnell unten an die Wegkreuzung, wo die Feuerschneise anfängt. Da gibt es vielleicht bessere Sicht. Und ja, gibt es. Auch fast windstill. Nur hin und wieder verirrt sich eine Böe. Wieder hoch laufen, einpacken, runterfahren, auspacken, aufbauen. Fertig. Es geht los. Es kommt noch ein Auto vorbei. Das war's.  

Super Ambiente. Unten das Dorf Puntagorda und ich hier auf ca. 1500m. Gute Sicht nach Süden bis Norden herüber. Osten durch Berghang verdeckt. Sieht gut aus. Der Wind ist so heftig, dass ich die "Socke" nur im unteren Teil montiere. Rest bleibt frei. Also ohne Streulichtschutz. Die geteerte Straße als Untergrund ist rabenschwarz. Der Wind wird immer heftiger. Aber es bleiben noch Momente, wo er deutlich abnimmt. 

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![[Abell 21]]

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{{Abell 21}}

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Erstes Objekt ist ''Abell 21''. Steht aber noch sehr hoch. Und ohne Streulichtschutz ist der Hintergrund noch zu hell. Also warten. 

!!Barnard's Loop

Ein weiteres Objekt wird in der Zwischenzeit beobachtet. Es handelt sich um [[Barnard's Loop|Sh2-276 - Barnard's Loop]]. Es werden ein OIII (Astronomik), H-ß (Lumicon) und ein UHC-Filter (Astronomik) ausgepackt und dann intensiv beobachtet. Dabei werden die Filter vor die Augen gehalten und zwar immer zwei. Bei der Beobachtung mit einem zugekniffenen Auge gestaltet sich die Beobachtung schwierig. Besser ist es mit beiden Augen zu beobachten. Ich halte den UHC vor das rechte und wahlweise den Hß bzw. OIII vor das linke Auge. Beobachtendes Auge ist bei mir immer das Rechte. Nach geduldiger Beobachtung wird auf Höhe der Gürtelsterne ein diffuser Nebel sichtbar, der sich nach Norden gebogen fortsetzt und bei ca. 45° einen schmaleren, helleren und kurzen Abschnitt zeigt, um dann wieder schwächer werdend, diffus auszulaufen. Es lässt sich so fast ein 90° Kreissegment, d.h. ein Viertelkreis, als Nebelsegment erkennen. Weitere Nebelteile sind nicht sichtbar, vielleicht auch deshalb nicht, da der Orion jetzt schon recht tief steht. OIII-Filter funktioniert gar nicht gut. Dauer der Beobachtung ca. eine Stunde. Ende 05.04.2016 um 22:00 UT, 21.65 im Zenit.

Jetzt geht es wieder zurück zum "Medusanebel". Das Seeing ist nicht gut, aber die Sterne lassen sich in einigen Momenten als nahezu punktförmig erkennen. Höhere Vergrößerungen gehen mit dem Wind eh nicht.

Abell 21,  recht bekannt als "Medusanebel" und ist sofort gefunden. 

''Abell 21:'' Es zeigt sich mit OIII ein halbkreisförmiger Nebel, der an den Enden durch hellere Bogensegmente im Norden und Süden geprägt ist. Innere erscheint teilweise neblig. Ein Nebelfilament tritt "als Sekante in Erscheinung". Insgesamt doch recht gut begrenzt. Als optimale Vergrößerung stellt sich 114 fach heraus. 168 fach geht auch. Ist dann aber schwierig zu erkennen, da dunklere Nebelteile "abzusaufen" drohen.

Der Wind wird immer heftiger. Die Bäume verursachen Geräusche wie Flugzeuge beim Starten. Werde immer wieder von heftigen Böen "erwischt". Gegen Mitternacht will ich schon aufgeben. Nein! Es muss weiter gehen. Tut es auch. Ich halte durch.

Es geht weiter zu M81 & M82. Sie sollen gezeichnet werden. Werden sie auch. Danach ist es weit nach drei Uhr morgens und ich bin zermürbt. Ich packe alles zusammen und bin im Nu weg. Doch bevor das passiert, messe ich nochmal mit dem SQM-L: 21.70. Ok. M81 ist recht schwer, aber dann doch zweifelsfrei mit bloßem Auge erkennbar. Interessant!

Morgen, also heute, geht das so weiter. Erst übermorgen soll der Wind am nachmittag nachlassen. Gute Nachricht!

[[Weiter zur nächsten Nacht >>|6. April 2016 - Weinberg über Puntagorda]]

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7timer sagt hohe Luftfeuchte voraus. Hat leider recht. Und sie will nach Einbruch der Nacht leider gar nicht weichen. Der Himmel ist nach den abziehenden Wolken komplett milchig. SQM-L Messungen zeigen Werte um 21.56 an. 

!!!Eine Nacht in der Rhön

Der Himmel sieht aus wie in der Rhön. Selbst Vega büßt von ihrem hellen Schein etwas ein. Das soll diese Nacht leider auch nicht besser werden. Schnell ist alles Nass. Dass Auto trieft nur so. Der Fangspiegel ist auch ruck zuck zu. Aufwärmen und einpacken! Nochmal einen Blick auf NGC 6818. Huch! Das Seeing ist sehr gut. Würde Pickering 8 schätzen. Ok. Es geht weiter.

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![[NGC 6818 - Little Gem Nebula]]

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{{NGC 6818 - Little Gem Nebula}}

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''NGC 6818:'' Sehr heller, runder und blaugrüner Nebel. Bei 56 fach schon von den Feldsternen unterscheidbar. Bei 800 fach bleibt zunächst die runde Grundform erhalten. Diese wird durch eine äußere Nebelschale gebildet. Im Innern zeigt sich eine ovale Schale, die stärker definiert ist und an den nördlichen Enden zwei hellere Knoten aufweist. Nördlich und nordwestlich fehlen Bogenstücke. Insgesamt wirkt die Schale unruhig. Kein Zentralstern zu sehen.

Der Fangspiegel ist kaum frei zu halten. Dummerweise habe ich keine Batterien für die Fangspiegelheizung dabei. Würde vermutlich aber auch nichts bringen, da offenbar Wolken in Bodennähe durchziehen. Trotzdem mache ich weiter.

''NGC 6210:'' Bei 800 fach wird ein runder bis leicht ovaler Nebel sichtbar. Wirkt unruhig und Blickweise ausgefranzt. Ist in einem hellen und runden Halo eingebettet. Sonst ist leider nicht viel zu erkennen.

NGC 6210 hat mich wirklich enttäuscht. Da ist definitives einfach nicht zu erkennen. Will weiter zu NGC 6857. Aber der Fangspiegel ist wieder dicht. Das reicht mir jetzt. Gegen 04:30 Uhr baue ich ab. Morgen ist der letzte Tag bzw. die letzte Nacht.

Diese Nacht hat mir bezüglich der Vergleichbarkeit des spanischen Himmels zu meinem Beobachtungsplatz in der Rhön quasi die Augen geöffnet. Es ist vermutlich wirklich die höhere Luftfeuchte, die uns in Deutschland stets zu schaffen macht. Die sogenannte "Luftperspektive" ist hier nicht auszumachen. Weit entfernte Berge erscheinen nicht dunstig blau, sondern entweder fast glasklar oder grau. Ich führe dies auf die geringe Luftfeuchte zurück.

[[weiter >>|6. August 2016 - Pinar de Araceli]]

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Wind aus Südwest tagsüber. Super klar. Der Dunst ist weg. Offenbar hat uns eine Kaltfront überquert, die aus Süden kam. Süden ist hier Norden, d.h. kaltes Wetter kommt aus dem Süden. Gegen Abend verspricht der grandios aufgehende Erdschatten eine perfekte Nacht. Das Seeing ist auch sehr gut, wenngleich die Detailerkennung bei den Planeten ähnlich wie gestern ist und nicht perfekt. Aber wo ist es schon perfekt. Es mit +3 °C zu Beginn der Nacht gleich mal gut frisch. Aber wie immer hier, ist die Luftfeuchte grandios niedrig und es gibt praktisch null Wind. Einfach perfekt. So muss Astronomie sein. SQM-L zeigt 21.82 im Zenit an. Auf der gegenüberliegenden Seite des Himmels aber nur 21.65. Ist auch visuell zu sehen, dass es dort heller ist. Komisch. Beim Pano schießen habe ich gemerkt wie Venus und das Zodiakallicht Schatten werfen. Einfach unglaublich.

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Ich habe ca. zwei Stunden in ein Pano und dann die Vorbereitung eines Zeitraffers gesteckt. Muss sein. Ja, ich weiss. Idiotisch. Visueller Beobachter und so.

Die visuelle Beobachtung beginnt dann erst gegen 22.00 Uhr. Zunächst will ich mir die hellen Milchstraßenwolken im Feldstecher anschauen, denn das Seeing ist Ok, aber nicht überragend. Habe mir extra meinen Liegestuhl aus dem Zimmer mitgenommen und ich muss sagen, dass er hervorragend geeignet ist, um mit dem Feldstecher zu beobachten. Dummerweise ist es mit +5 °C schon sehr kalt und die Linsen beginnen - trotz der unglaublich niedrigen Luftfeuchte  - von meiner Atemluft - zu beschlagen. Werde den Feldstecher zukünftig im Zimmer lassen und erst wenn ich damit beobachte, rausholen. 

!!Mit dem Feldstecher durch die Milchstraße 

Ich fange am südwestlichen Horizont an. Eta Carinae steht kurz vor dem Untergang. Trotzdem ist der Nebel noch gut zu erkennen. NGC 3532 in unmittelbarer Nähe sieht einfach grandios aus. Mehrere Dutzend Sterne sind im Feldstecher gut zu erkennen. Sie sind etwa gleich hell. Beim Scannen treffe ich auf Omega Centauri. Ein sehr großes Knäuel und der KS Charakter ist sehr schön zu erkennen. Er ist schon grießig im 10x50. Weiter geht es zum Kohlensack. Sehr groß. Passt nicht ganz in das Gesichtsfeld des 10x50, obwohl dieser 65° Gesichtsfeld hat und deshalb 6.5° Himmel zeigt. Acrux oder Alpha Cruxis ist schon als schöner DS zu erkennen. Hier liegt etwas nördlich einer der dunkelsten Teile des Kohlensacks. Schwarz. In der Mitte gar nicht vollkommen schwarz wie dort, sondern strukturiert. Weiter geht es zum Pfeifennebel. Dieser ist vollkommen schwarz bei AP von 5mm, die der Feldstecher liefert. Was für ein Kontrast. Noch nie so gesehen. In Europa ist er immer noch hell und diffus, was vermutlich an der doch geringen Höhe des Objekts über dem Horizont liegt. Selbst in La Palma. M4 ist mit bloßem Auge direkt und leicht zu erkennen. M24 ist im Zenit wie ausgestanzt zu sehen. Die große Sternenwolke leuchtet gelblich und die Dunkelnebel, mit denen sie durchsetzt ist, sind schwarz. Mit bloßem Auge stehen alle Sterne absolut still. Auch die am Horizont wackeln nur wenig. M8 steht fast im Zenit und etwas darüber ist Saturn zu sehen. Was ein Anblick. Weiter geht es nach Norden in die Schildwolke. Grandios. Ich muss mich ermahnen mit dem Dobson weiter zu machen. Habe ja noch nichts richtig beobachtet. Zumindest heute. Ich schaue mir noch schnell den Nordhimmel an. Der Schwan mit Nordamerikanebel. Dann habe ich sogar Probleme den Cirrus-Nebel zu finden. Unglaublich. Dann schließlich ist er gefunden. Beide „Sicheln“ sind im Feldstecher schön zu erkennen. Laufe noch ohne Daunenjacke rum. Keine Zeit. Finger sind schon kalt. Denke wir haben den Gefrierpunkt erreicht. So einen transparenten Himmel habe ich noch nirgends gesehen. Selbst die tiefstehenden Milchstraßenwolken im Schwan sehen aus, als würden sie im Zenit stehen. Hell, einfach nur hell. Ein Traum.

!!Mars beobachten

Dann wende ich mich Mars zu. Dabei stelle ich fest, dass dieser am besten mit einem Graufilter beobachtet werden kann. Der Staubsturm wütet noch, da die Oberflächendetail sehr verwaschen erscheinen. Die Polkappe ist aber gut zu sehen. Ich fange an Fotos zu machen, in dem ich meine Kompaktkamera hinter das Okular montiere.

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__Rechts:__ Mars afokal durch das Ethos 3.7mm mit Sony RX 100 III. Unbearbeites JPEG.

[[NGC 5844]]: Schon bei Übersichtsvergrößerung von 100 fach als heller, rechteckiger Nebel zu erkennen. Bei 670 fach zeigt sich ein struktruierter Nebel mit schwachen Sternen in Ecken. Insgesamt gibt es davon ein halbes Dutzend. Reagiert auf Nebelfilter nicht übermäßig. Mit Filter verschwinden die schwachen Sterne, Insgesamt zeigen sich zwei hellere Kanten mit jeweils Knoten in den Ecken, die - wie beschrieben - mit einzelnen und mehreren Sternen gespickt sind. Seeing 3.

[[Longmore 16]]: Schon bei 100 fach ist dieser Planetarische Nebel einfach erkennbar. Allerdings zeigt sich zunächst eine diffuse Spindel, die inmitten eines Sternfeldes liegt. Zur Mitte hin heller werdend und mit diffusem Zentrum. Bei geduldiger Beobachtung zeigt sich schließlich ein leicht ovaler, fast runder, diffuser Nebel, der in der Mitte den beschriebenen Balken hat. Balken ist fast N-S orientiert. Reagiert auf OIII, so dass man eine Galaxie ausschließen kann. Trotzdem ohne Filter besser. 454 fache Vergrößerung. Seeing 3-4.

Jetzt gibt es wieder aufgeblasene Sterne. Seeing ist eingebrochen. Transparenz weiterhin top. Der südliche Kohlensack steht kurz vor dem Untergang im Südwesten. Der nördliche ist im Nordosten aufgegangen und strebt dem Meridian zu. Beide gleichzeitig auf fast gegenüberliegenden Positionen am Horizont sehen zu können, ist einfach traumhaft. Der südliche Kohlensack ist trotz seiner geringen Höhe dunkler als sein nördliches Pendant.

[[NGC 6804 mit 25 Zoll]]: Auch wieder bei 100 fach leicht zu sehen. Vergrößere bis 454 fach. Dann wird ein Nebel um einen Stern sichtbar, der sich in einer Kette von dreien befindet. Der Nebel wirkt unruhig und ist schwer zu fassen. Reagiert auf OIII. Beobachte aber ohne weiter. Es zeigt sich schließlich ein länglicher, ovaler Nebel mit gegenüberliegenden, hellen Kanten. 90° versetzt zu diesem Ring zeigt sich ein diffuser Glow, der es schwierig macht den Nebel richtig zu erfassen. Schönes Objekt. Seeing 3.

Schon wieder ist der Mond da. Wieder drei Uhr in der Früh. Das Seeing war heute nicht so gut, aber auch nicht richtig schlecht. Im 25 Zöller sieht man jede Änderung. Der Wind kam aus unterschiedlichen Richtungen. Jetzt wieder aus Nordost. ~WetterOnline sagt, dass es eigentlich teilweise bewölkt sein sollte. Ist es aber nicht. Die Tivoli Palmen rauschen. So, das war es für heute.

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[[<<Zurück zur vorangegangenen Nacht|4. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|6. August 2018 - Tivoli Astrofarm]]

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Heute bin ich erst gegen fünf Uhr im Bett, aber da schlechtes Wetter angesagt ist, werde ich erstmal richtig ausschlafen. Gegen 12:30 Uhr werde ich wach und stehe auf. Es ist seit dem Morgen bewölkt und es fällt stellenweise Nieselregen. Gegen Mittag setzt schauerartiger Nieselregen mit abwechselnden sonnigen Abschnitten ein. Es ist kein Tiefdruckgebiet, auch wenn der Luftdruck leicht fällt. Es ist der Nordost-Passat!

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24103887850/in/datetaken/" title="M42 Zeichnen"><img src="https://farm2.staticflickr.com/1694/24103887850_c40f0f20e3_b.jpg" alt="M42 Zeichnen"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>M42 wird gezeichnet.</div>

Erst am Abend beruhigt sich alles. Die [[ING Wetter Seite|http://catserver.ing.iac.es/weather/index.php?view=site]] zeigt aber schon wieder klaren Himmel an. Ob das hält. Ja, tut es. Der Wind ist allerdings etwas heftig und so beschließe ich am Haus aufzubauen. Alles ist aber naß und nicht alle Wolken abgezogen. Was wenn noch ein Schauer runter kommt. Also etwas warten. Dann schließlich der Entschluss es zu wagen. Am Haus wird also alles aufgebaut. Dann kommen doch wieder tiefe Wolken auf, die aber dann schlussendlich verschwinden. 
Die Luftfeuchte ist zunächst hoch. Alles beginnt langsam nass zu werden. Doch dann trocknet alles wieder ab. Der mir einzig bekannte Ort, wo die Luftfeuchte so schnell wechseln kann. Gerade noch ein Regenschauer und 100% Luftfeuchte und schon wieder im einstelligen Bereich, wie gerade auf dem Roque. 

Was beobachten? Aus Erfahrung weiß ich, dass wenn der Nordost-Passat einsetzt, das Seeing sehr schlecht ist. Tut es auch. Die Sterne lassen sich nicht scharf stellen. Sie bleiben einfach große "Bommeln". Ok, das Programm für diesen Fall wird "gestartet" und M42 zusammen mit NGC 1975 vorgeschlagen. OK. Dann mal ran.

Ich habe vor das ganze zu zeichnen. Die Sterne habe ich bereits zuhause per Computer gemacht. Für solche komplexen Sachen absolut sinnvoll, sonst ist man mit der Zuordnung und Malen von Sternen länger beschäftigt, als mit dem Objekt selbst.

!!M42

Dieser galaktische Nebel ist einzigartig. Die Komplexität, Größe und auch die Farbigkeit (Ja, genau!) sind wohl einmalig am Sternenhimmel. 
Bei 65 fach zeigt sich der Nebel gewohnt souverän. Sehr helles Zentrum mit den abgehenden Schwingen die diffus auslaufen und schließlich einen geschlossenen Ring bilden.  Bei längerer Beobachtung wird der Nebel dunkler und es zeigen sich in der Tat Farben. Blasse zwar, aber immerhin. So ist das Zentrum hell- bis eisblau. Alles was sich nördlich anschließt, in einem blassen rostbraunen  Ton. Legt man eine Pause ein und betrachtet beide wieder, so erstrahlt der Nebel im ersten Augenblick wieder grün und hell.
Beim Übergang auf die schwachen Ausläufer sowie auf NGC 1975 verschwinden die Farben.

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![[M42 - Orionnebel & NGC 1975]]

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{{M42 - Orionnebel & NGC 1975}}

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!!NGC 1975

Deutlich schwächer, aber ebenso faszinierend. Steht tatsächlich etwas abseits und passt eigentlich nicht mehr in das Gesichtsfeld. Es zeigen sich im wesentlichen zwei parallele Nebelstreifen, die sich an den Enden vereinen.In der Mitte sind zwei schwache Nebelbalken erkennbar.

Ich brauche fast die gesamte Nacht. Beginn ist gegen 22:00 Uhr. Fertig bin ich gegen 03:00 Uhr.

Die Nacht ist bis auf das Seeing perfekt. Transparenz hervorragend. Das SQM-L ist mit 21.6 um 22:00 Uhr dabei und klettert auf 21.76 um 04:00 Uhr. Es werden kurzzeitig auch Werte um 21.85 angezeigt, aber ich bin nicht sicher, ob das Gerät hier nicht spinnt. Als Probe wird der Horizont vermessen 21.36. Also scheinen die Werte doch plausibel zu sein. Bei Mondaufgang waren es im Zenit immer noch 21.6. Die Nacht war verdammt kalt. 6° Celsius mit wenig Wind. Auf dem Roque ließ er zwar nach, aber 30 km/h sind halt doch zu viel. Mir jedenfalls.

Das Seeing wird besser. Für kurze Zeitabschnitte sogar "gut". Doch dann kommen wieder die "Rückfälle".

Ich bin platt und möchte nur noch ins Bett. Aber es muss weiter gehen. Ich hatte zuhause die Idee zwei Exkursionen gedanklich zu verbinden. Diese und die vom letzten Mai in Namibia. Hier kommen nämlich im äußersten Süden schon Sachen hoch, die man eigentlich am Südhimmel verortet. So auch RCW 3, oder Rodgers-Campbell-Whiteoak 3 im Sternbild Vela. Und so wird das 25mm mit einem UHC-Filter bestückt und los geht's. Es zeigt sich ein sehr reiches Sternfeld mit einem schönen lockeren offenen Sternhaufen. Nordöstlich soll der Nebel zu finden sein. Das Gebiet wird abgefahren und in der Tat zeigt sich stellenweise sehr diffus ein hellerer Himmelshintergrund. Aber so richtig zu "sehen" ist nichts und beim Versuch Gum 12 in der Nachbarschaft kommt auch nicht viel bei rum. Daher muss etwas greifbares in der Nähe als Ersatz her. Sky Safari zeigt NGC 2626 an. Gut und in der Tat zeigt sich bei 65 facher Vergrößerung ein kleiner ovaler bis spindelförmiger, heller Nebel. Aber jetzt bricht das Seeing wieder ein und so ist an eine höhere Vergrößerung nicht zu denken. 

Ich schaue, ob dies nur da "unten" so ist. Nein. Jupiter zeigt sich ähnlich unscharf, obwohl er mittlerweile um 04:30 Uhr nicht mehr weit vom Zenit entfernt steht. So schaue ich mir schließlich noch IC 2177 an. Ein dankbares Objekt.

Da kommt mir nochmal C/2013 US10 (Catalina) in den Sinn. Aber leider steht das Objekt hinter den Bäumen. M51 steht aber mittlerweile darüber. Und so schau ich mir die berühmte Galaxie an und beginne auch eine Zeichnung. Das Seeing ist mittlerweile wieder brauchbar und so lassen sich recht viele Details erhaschen. So streife ich nochmal mit bloßem Auge über den fantastischen Sternhimmel. M35 fällt mir dabei auf. Ein heller Nebelball. Nochmal schnell im Teleskop eingestellt. Wunderbar!

Gegen fünf Uhr heißt es alles einpacken. Das Haus ist ja zum Glück nur 50m entfernt. Und um 05:30 Uhr schlafe ich tief und fest.

__Nachtrag:__ Mit der Zeichnung bin ich unzufrieden. Leider ließ sie sich nur mit Mühe in die digitale Welt hieven. Keine Ahnung wie ich am Ende zu der finalen Version gekommen bin. 

[[Weiter zur nächsten Nacht >>|6. Januar 2016 - Roque de los Muchachos]]

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Kurz vor Sonnenuntergang bin ich am neuen Platz. Sieht gut aus. Der angekündigte Wind ist eher ein Lüftchen. Zum Glück. Fahre aber noch mal ins Hotel zurück. Bis es dunkel wird dauert es noch eine ganze Weile. 

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Heute sind die Bedingungen zunächst tagsüber sehr gut. Transparenz ist top. Beim Abdecken der Sonne mit dem Zeigefinger zeigt sch kein Hof. Gegen Abend wird die Transparenz schlechter. Trotzdem alles sehr gut. Meteoblue sagt gutes bis sehr gutes Seeing vorher. Mal sehen.

Am neuen Platz ist es windig. Also zurück zum alten. Dort auch. Am Parkplatz ist es Ok. Hier wurde der komplette Wald gerodet. Was ein Glück ist, da man jetzt fast perfekte Rundumsicht hat. Erstes Objekt ist Jupiter. Seeing ist sehr gut. Jupiter zeigt bei 320 fach viele Details. Insbesondere ein Mondschatten ist zu erkennen, später dann auch zusammen mit dem GRF. Der Schatten stammt von Ganymed. Kann mich kaum losreißen. 

Dann geht es weiter mit der Zeichnung von Abell 1656. Anschließend M51.

Am Ende ein bisschen surfen: M53 und interessant in der Nähe ''NGC 5053'': Unscheinbarer KS. C.a. ein Grad östlich von M53 gelegen. Bei 65 fach diffus und erst auf den zweiten Blick erkennbar. Dann zeigen sich bei 114 fach etwa 2-3 Dutzend Sterne, die fast wie Vordergrundsterne scheinen. Steigerung auf 168 fach zeigt auch nicht mehr. Dann wird es heller. Der Übergang ist zwar unscheinbar aber doch merklich. Schade, dass die Nächte so kurz nur sind.

[[Weiter zur nächsten Nacht >>|6. Mai 2016 - Rhön]]

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41026213795/in/datetaken-public/" title="Stumpi"><img src="https://farm1.staticflickr.com/974/41026213795_de1b86d322_h.jpg" alt="Stumpi"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Dokumentation der Beobachtungsergebnisse.</div>

Wegen Krankheit habe ich die letzten Neumondtermine verpasst. Heute ist das erste Mal, dass ich diesen Frühling raus komme. Bin in Stumpi bei der Sternenwelt Vogelsberg. Ein paar Kollegen haben sich hier heute versammelt. Zwei aus Bad Homburg schauen herüber, mahnen aber zum Aufbau. Warum ich denn erst so spät hier eingetroffen bin, werde ich gefragt. Ich weiß es auch nicht. 🤓 Leider bleibt später keine Zeit mehr sich zu treffen und kurz zu unterhalten. Trotzdem sehr professionelle Atmosphäre hier. Wenig Weißlicht. Es ist leider windig, wie ich es befürchtet hatte. Das Seeing soll heute gut sein. Ist es auch. Meteoblue sagt trotzdem nur 1.1" vorher. 21.43 misst das SQM-L im Zenit um 22:54 Uhr und da ist die Dämmerung noch nicht ganz abgeschlossen. Gute Bedingungen also. 

Das nächste Objekt ist das [[Objekt des Monats (OdM) März 2018|http://www.astrotreff.de/topic.asp?TOPIC_ID=222064]].

[[NGC 2964 - Gruppe]]: Bei 65 fach sind zwei Galaxien schon gut zu erkennen. Größte und auffälligste ist NGC 2964 und auch die interessanteste: Form oval. Sternförmiges Zentrum. Im Außenbereich sind verschiedene hellere Knoten erkennbar. Diese sind immer wieder aufblitzend zu sehen. So auch in der Mitte, mit dem hellen Zentrum und gegenüberliegenden Knoten, die den Galaxienkörper begrenzen. Von dort aus, wie auf einer Perlenschnur erscheinen weitere Knoten. Westlicher Teil offen. Östlicher hingegen zeigt markanten Knoten innerhalb eines Spiralarms. Die Galaxie ist hell genug um hier bis auf 430 fach gehen zu können. NGC 2968 zeigt sich S-förmig mit hellem, runden, bis leicht ovalen Zentrum. NGC 2970 ist klein, nahezu rund und schwach mit Helligkeitszunahme zum Zentrum hin. Seeing 1-2. SQM-L 21.67. 

Im Zenit sogar hin und wieder 21.70. Ob das Gerät spinnt? Nein, denn in Horizontnähe misst es 21.23, was wiederum realistisch ist. Bis ca. 50-60° über dem Horizont ist es mit 21.6 recht dunkel. Erst darunter geben die Werte deutlich nach, was vermutlich an der guten Transparenz liegt.

Die Wettervorhersage hat recht. Der Wind lässt fast komplett nach. Nur die Windräder stehen noch im Wind und machen mächtig Geräusche. Es ist mit +8 °C angenehm warm und es bleibt auch komplett trocken. Sehr, sehr selten hier. Zum schönen Ambiente trägt auch bei, dass die Kirchenglocke immer wieder läutet, vom Dorf aber nix zu sehen ist, da hinter einem Hügel verborgen.

[[M 82]]: Hell, nein sehr hell. Kann ohne Probleme bis auf 430 fach „hoch gezogen“ werden. Die Galaxie zeigt sich von der Grundform her zigarrenförmig, zerfällt aber komplett in unterschiedlich helle Segmente, deren Helligkeit nach außen hin abnimmt. Zentrum ist geteilt. In beiden helleren Segmenten zeigen sich sternartige Knoten. Diese zeigen sich sehr klar, wenn das Seeing für einen Moment sehr gut ist. Sehr, sehr beeindruckend. 

Gegen zwei Uhr geht der Mond auf. Bereits 20 min vorher beginnt der Himmel einzubrechen. Das SQM-L zeigt das auch. Schluss. Leider.

[[<<Zurück zum Artikel|Zwei Nächte im Mai]] | [[Weiter zur nächsten Nacht >>|7. Mai 2018 - Wasserkuppe]]

Zunächst bleibt festzuhalten, dass nach der ersten Beobachtungsnacht vor ein paar Tagen ein Tiefdruckgebiet durchgezogen ist, das in den Höhenlagen noch mal etwas Schnee gebracht hat. Die nächsten Tage sind dann auch kalt und insbesondere die Nächte sehr kalt. Der Winter hat noch mal zum Schluss tief Luft geholt, aber den Frühling kann er nicht verhindern. Zu hoch steht mittlerweile die Sonne, so dass es zumindest tagsüber dann auch deutlich wärmer wird.

Am [[2. März|2. März 2021 - Lange Rhön]] gab es bereits eine geniale Nacht. Jetzt, drei Tage später geht es weiter. Heute bleiben insgesamt sechseinhalb Stunden astronomische Nacht. Das ist schon was! Und morgen, sogar siebeneinhalb Stunden. Praktisch eine Arbeitsnacht. 😀 

!Wasserkuppe und Lange Rhön im Abendlicht

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Ich bin heute frühzeitig da und drücke mich in der Rhön ein wenig herum. Foto Session quasi. War auch kurz auf der Wasserkuppe am Parkplatz Fuldaquelle. Sehr, sehr kalt. Insbesondere der Nordost Wind. 

Später dann fahre ich durch die Lange Rhön, um mich mit Mathias am Beobachtungsplatz zu treffen. 

Doch zunächst, bleibe ich zunächst am Parkplatz „Fuldaquelle“ und beobachte das Wolken- und Sonnenspiel vor dem Hintergrund der Rhöner Berge. 🏔 Später breche ich dann auf und fahre rüber zur Langen Rhön, um zu Dämmerungsbeginn den Beobachtungsplatz zu erreichen. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/86c1Ty" title="Lange Rhön"><img src="https://live.staticflickr.com/65535/51012466841_309d6e9fbe_k.jpg" alt="Lange Rhön"></a>

Die Lange Rhön präsentiert sich kurz vor Sonnenuntergang „gülden“. Es dominieren orangefarbene Töne der noch im Winterschlaf verharrenden  Vegetation.

Sofern die Bedingungen halten, werde ich die nächsten Nächte auch beobachten. Heute ist zum Glück genug Zeit, um nicht in Stress zu verfallen. Das war am letzten Dienstag leider nicht so. Zweieinhalb Stunden Nacht sind halt schnell rum, insbesondere wenn die Beobachtungsliste lang ist. Heute habe ich vor, eine Zeichnung von [[NGC 2403]] zu machen. Die Galaxie habe ich ja bereits vor drei Tagen gut studiert. Mir fehlen noch ein paar HII – Regionen, die es zu identifizieren und im Kern zusammen mit dem Objekt zu zeichnen gilt.

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!!Die Rückkehr des Zodiakallichts

Das Zodiakallicht ist in den Nächten im März 2021 klar und deutlich am Nordwesthorizont auszumachen. Ein Novum für mich das Abendzodiakallicht in der Rhön zu sehen. Bisher habe ich immer beklagt, dass nur von „vermeintlich besseren“ Beobachtungsstandorten, wie z.B. La Palma, zu sehen ist.

 <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1De7iQ" title="Wasserkuppe &amp; Zodiakallicht"><img src="https://live.staticflickr.com/65535/51012228562_cab4a95782_h.jpg" alt="Wasserkuppe &amp; Zodiakallicht"></a>

Natürlich ist es im Vergleich zu dunkleren Standorten deutlich schwächer. Aber trotzdem ist es eindeutig und hell zu erkennen, was das Foto eindrucksvoll zeigt. Ich beobachte mittlerweile schon über sechs Jahre in der Rhön und kann mich an __keine__ „echte“ Sichtung erinnern. In der Regel beschränkte sich eine positive Sichtung auf einen vagen Lichtkeil, der in der Lichtglocke von Fulda „absäuft“. 

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Mathias bemerkte in der letzten Beobachtungsnacht verwundert, dass ich M99 noch nicht gemacht hätte. Ich muss auch erst mal meine eigene Seite durchsuchen, um festzustellen, dass ich M99 erst einmal beobachtet hatte, sofern meine Aufzeichnungen stimmen. Und das ist mittlerweile [[acht Jahre her|2013/05 Galaxienjagd im Mai]] her. Krass! Damals notierte ich: „Relativ helle GX mit diffusem hellen Kern. Ansätze von Spiralarmen indirekt mit Mühe sichtbar. Etwa 0.5 Grad nördlich befindet sich eine Miniaturausgabe der Heringsgalaxie.“. Beobachtet hatte ich das ganze mit 14 Zoll. Ich beschließe deshalb, M99 eine zweite Chance zu geben. Auf jeden Fall ist das was für den frühen Morgen. Dito M98 und auch M100. 

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/92t0N6" title="Untitled"><img src="https://live.staticflickr.com/65535/50998678863_62ea61896b_h.jpg"></a> Der Sternenhimmel über der Langen Rhön kurz vom Mondaufgang. Im Osten (ca. neun Uhr) sieht man schon wie der Horizont heller wird. Die Wintermilchstraße ist sehr weit an den Westhimmel vorgerückt. </div>

Wir sind wieder zu zweit. Die heutige Nacht ist ganz okay, denn der Mond geht schon gegen 2:00 Uhr auf und ich habe die Chance um 4:00 Uhr tatsächlich dann schon im Bett zu sein. Bei guter Erholung und Schlaf bis Mittag sollte es dann am Folgetag kein Problem sein wieder aufzubrechen. Der Wagen ist für zwei Nächte gemietet, so dass ich auch nichts ausräumen muss.

Ich werde auf jeden Fall mehr als eine Nacht versuchen zu beobachten, denn die nächste Woche ist schon wieder eine Reihe von Tiefdruckgebieten angekündigt. Ob es dann zum Neumond noch mal eine Chance gibt, steht tatsächlich „in den Sternen“. Dann würde es erst wieder im April gehen.

Als ich am Beobachtungsplatz eintreffe, hat Mathias schon komplett aufgebaut. Er ist heute mit seinem 21 Zöller da. Sehr schönes Gerät. In der Nacht habe ich die Möglichkeit einmal durchzuschauen. Ich habe heute vor NGC 2403 weiter zu machen. Das ist gar nicht so einfach, denn eine Vielzahl der HII-Regionen wird „im Netz“ häufig unterschiedlich angegeben. Das ist ärgerlich, aber ist halt so. Nebenbei möchte ich ein paar Fotos machen und natürlich den Sternenhimmel mit bloßem Auge und Feldstecher beobachten.

Obwohl die astronomische Dämmerung noch nicht abgeschlossen ist, wird die Wintermilchstraße - mit bloßem Auge betrachtet - schon eine halbe Stunde vorher sichtbar. Unglaublich!

Zuerst gebe ich noch mal Barnard's Loop eine Chance. Der Jenoptem muss wieder ran. Er wird wieder mit den Filtern bestückt, d.h. UHC und Hβ. Vorher schaue ich aber noch mit dem Fujinon nach NGC 2112, dem offenen Sternhaufen im hellsten S-förmigen Teil des Nebels. Dazu habe ich den Feldstecher wieder auf ein Stativ montiert. Er ist ganz schwach zu erkennen und wirkt dabei wie ein Planetarischer Nebel der „Abell-Serie“. Beide Feldstecher liefern eine Öffnung von 50 mm und eine Vergrößerung von zehnfach. Schließlich gebe die weitere Beobachtung auf, denn heute ist es richtig kalt und erkennen kann ich auch nichts so recht. Der falsche Zeitpunkt einfach. Ich entnehme die Filter und versuche auch mit dem Jenoptem NGC 2112 zu erkennen. Und ich muss sagen das gelingt sogar freihändig! Die Transmission des Jenoptem ist offenbar nicht schlechter als die des Fujinon, zumindest an diesem Beispiel. Das überrascht mich!

Ich stimme mich mit den Highlights des Winterhimmels ein. Dazu zählen M46 & M 47, die sehr leicht mit bloßem Auge zu erkennen sind. M38 ist geradezu auffällig und wird ebenfalls von mir angesteuert.

Ich vertreibe mir die Zeit schließlich mit Fotografie. Die Nacht ist nochmal besser als die am Dienstag. Die Temperaturen fallen sofort auf -7 °C. Vorhergesagt sind allerdings -3 °C. Das ist schon ein großer Unterschied, denn die Luftfeuchtigkeit ist auch höher als prognostiziert. Statt 70 % relativer Luftfeuchtigkeit haben wir die ganze Nacht über Werte über 80 %. Als ich am nächsten Tag die Werte checke, stimmen Sie zu 100 % mit den Messwerten an der Wetterstation auf der Wasserkuppe überein. Nicht schlecht!

Für die aktuellen Temperaturen habe ich leider nicht die richtigen Klamotten dabei. Ich hatte schon überlegt ob ich meine „Extrem-Winterjacke“ mitnehmen soll, aber mit Blick auf die Vorhersage darauf verzichtet. Für die folgende Nacht werde ich das natürlich tun, aber insgesamt komme ich trotzdem gut durch die Nacht. Während ich mich so „durchwurschtle“ und zwischen Kameras und Teleskop hin- und „herhechle“, zieht Mathias mit dem 21 Zöller ruhig seine Runden. Später dann zeigt er mir M51 am Teleskop.

!M51 im 21 Zöller 

Ich bin sprachlos. Was zunächst auffällt ist, dass die Galaxie mit ihren hellen Spiralarmen viel „eckiger“ und „kantiger“ wirkt. In Momenten guten Seeings werden zahlreiche Details wie Knoten etc. sichtbar. Die Materiebrücke ist einfach zu erkennen und zeigt mittig einen längeren, helleren Abschnitt. Das Bild sieht ungemein ästhetisch aus. Einfach unglaublich! Voller Wehmut gehe ich zurück an mein eigenes Teleskop. 

Ich beobachte weiter durch die Nacht. NGC 2403 habe ich mittlerweile abgeschlossen. Im Feldstecher ist sie als heller, leicht ovaler Nebel eindeutig erkennbar. Für mich geht es jetzt weiter zu den Schaustücken des Frühlingshimmels. M98, M99 und M100, Leo-Triplet. M13 ist ebenfalls ein Highlight.

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In der zweiten Nachthälfte erklimmt der „Rabe“ den Himmel im Süden. Dabei steht er nur wenige Grad über dem Horizont. Immer wieder ein Highlight für mich in den Winter- bzw. später Frühlingsmonaten. Der Rabe ist ein unscheinbares Sternbild, aber aufgrund der Tatsache, dass diese Himmelsregion praktisch fast sternenleer ist, schafft er es dennoch vom Beobachter wahrgenommen zu werden. Das ist insbesondere in unseren Breiten der Fall, wo er praktisch einfach auffällt, sobald man nachts in die Landschaft schaut.

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Das SQM-L zeigt maximal Werte um 21.76 im Kasten des großen Wagens an. Zu Beginn der Nacht ging es direkt mit Werten um 21.48 los und über 21.6 ab 21:30 Uhr weiter bis auf 21.76. Die Wintermilchstraße war unglaublich strukturiert und ich fühlte mich für Momente nach La Palma versetzt. 

Mathias packt schon ein, während ich noch ein wenig schaue. Auch heute sind die Lichtglocken stark zurückgegangen und im Süden kaum noch auszumachen. Wir sehen über der Bergkuppe schließlich die Sommermilchstraße aufgehen. Die Zangen des Skorpions sind auch schon Richtung Süden unterwegs. Der Rabe dominiert den Himmel über dem Südhorizont. Gegen 2:30 Uhr geht schließlich die Mondsichel 🌜  auf. Wir warten schließlich noch bei laufendem Motor, bis unsere Frontscheiben eisfrei sind. Müde und zufrieden machen wir uns auf dem Heimweg, wohl wissend dass wir in ein paar Stunden schon wieder hier sein werden.

[[<<Zurück |2. März 2021 - Lange Rhön]] | [[Weiter >>|6. März 2021 - Lange Rhön]] 

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Am späten Nachmittag hohe Wolken. Gibt es doch gar nicht. Sind gar nicht vorhergesagt worden. Macht nix. Ich stehe sowieso über solchen Dingen, über dem Wind, den Wolken. Genau.

Am Einstieg zur Feuerschneise ist es windig. Deshalb beschließe ich weiter unten aufzubauen. Und dort ist es 100 m tiefer windstill. Unglaublich. Und es sollte es die ganze Nacht sein. 

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![[Sh2-276 - Barnard's Loop]]

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{{Sh2-276 - Barnard's Loop}}
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![[M81 & M82]]

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{{M81 & M82}}

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Nach Einbruch der astronomischen Dämmerung werden die ersten Objekte angefahren. Doch was ist das. Kein Stern lässt sich scharf stellen. Nein bitte nicht. Es ist das typisch schlechte Seeing, beim Nordostpassat auftritt, d.h. bei starkem Wind aus NO.

!!Barnard's Loop mit bloßen Auge

Also ein bisschen rumgeguckt. Ich mache nochmal eine Nachschau zu ''Barnard's Loop:'' Wie gestern wird mit UHC und Hß der hellste Nebelbereich um die Gürtelsterne schnell sichtbar. Diesmal probiere ich auch Hß auf dem Beobachtungsauge direkt aus. Besser. Und mit zugekniffenen Auge auch. Der Nebel lässt sich jetzt nach Süden hin fortsetzen, wo er etwas schwächer ist und sogar zwischen Saiph und Rigel. Vergleichsbeoachtungen an anderen Bereichen zerstreuen die letzten Zweifel. SQM-L 21.54 im Zenit.
Es wird nochmal mit OIII versucht. Nichts adhoc zu sehen. Scheint wirklich schlechter zu sein. Hß funktioniert am Besten, auch alleine!

Der Himmel ist heute nicht so gut. Liegt vermutlich an den Zirren vom späten Nachmittag. Er wird aber im Laufe der Nacht immer besser, so dass 21.65 erreicht werden. 

Ich schaue mir derweil den "Seagull-Nebel" an. Wirklich riesig. Mit UHC wird eine Nebelwand sichtbar, ähnlich der um Mexiko beim Nordamerikanebel. Nur schwächer. Um einen Stern ist dann auch der bekannte Kopf der Seemöve gut zu erkennen.

Dann hole ich den Feldstecher raus. M42. Ok. M41 wunderschön. Der Feldstecher ist auf einem Fotostativ montiert und so wird das schlechte Seeing sogar bei 10 fach schon sichtbar.

Dann ein bisschen Surfen: M51 und M81 & M82. Schließlich mache ich weiter an meiner Zeichnung von M101. Das Seeing wird wieder besser und so lassen sich tatsächlich wieder Dinge erkennen und damit auch zeichnen. Als ich gegen 02:00 Uhr fertig bin, bricht es wieder ein und wird sogar noch schlechter als zu Beginn der Nacht. Auf dem Roque ist es schon wieder dicht. Hier ist alles Ok, bis auf das Seeing.
 
Anschließend versuche ich M81 mit bloßem Auge - wie gestern - zu erkennen. Kein Problem! Weiter geht es mit M4. Nach einigem hin und her ist auch M4 klar und eindeutig sichtbar. Versuche zunächst noch mit den Fingern Antares abzudecken. Alles Quatsch! Am besten an der Position mit indirektem Sehen das Auge "kreisen" lassen. Dann wird der Kugelsternhaufen als diffuser Fleck sichtbar. Ist deutlich größer als M81, zumindest mit bloßem Auge betrachtet. Die große Sagittariussternenwolke erscheint übrigens gelblich.

Versuche noch mit etwas Übermut M80. Kann aber nur hin und wieder den südöstlich befindlichen Stern HD146706 mit 7.55 mag hin und wieder aufblitzen sehen. Liegt vermutlich am Seeing, dass der nur ab und an aufblitzt, denn wenn er zu erkennen ist, dann eindeutig. An der richtigen Position taucht hin und wieder ein schwacher Schimmer auf. Die Beobachtung bleibt aber unsicher. Zurück zu M4. Bleibt verschwunden. Was ist los? Ah, falsche Stelle. Nicht zwischen Al Niyat und Antares steht er, sondern zwischen Antares und i Scorpii. Etwas unterhalb, also grob südlich der Verbindungslinie steht er und wird auch wieder sofort sichtbar.

Jetzt ist es vier durch und hier könnte ich weiter sitzen. Mache mich aber auf den Weg. Vielleicht wird's morgen ja besser und da will ich fit sein.

[[Weiter zur nächsten Nacht >>|7. April 2016]]

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Heute nachmittag hat mich ein Ortskundiger freundlicherweise mit seinem Allrad Fahrzeug auf "Beobachtungsplatzschau" genommen. Wollte mir unbedingt eine Platz zeigen, den er für geeignet hielt, um zu beobachten. Er bringt dort Leute gerne hin, insbesondere auch Nachts, um den Sternenhimmel zu beobachten. Offenbar hauptsächlich mit bloßem Auge. Die Fahrt geht von La Matea zu Don Domingo, wo es dann über Pads weitergeht. In Don Domingo findet heute eine "Star Party" statt. Quasi für interessierte Laien. Dazu wird sogar die Straßenbeleuchtung im Dorf diese Nacht abgestellt, wie mir erklärt wird. Die Pads führen über mehrere Kilometer auf eine Art Hochebene mit Feldern. Haben sogar eine Nummer in Google Maps. Dort gibt es auch zahlreiche öffentliche Refugios (Schutzhütten). Die höchsten Erhebungen gehen auf über 1700m. Der Hammer ist aber die Tatsache, dass von dort nur Sierra und keine, aber auch keine Ortschaften bis zum Horizont zu sehen sind. Im Süden sind Felsklippen erkennbar. Man befindet sich quasi auf einer Hochebene auf 1600m üNN. Wir fahren auf eine der kegelförmigen Berge und die Rundumsicht ist spektakulär. 1700m. Nicht mehr als im Pinar. Da hier Landwirtschaft betrieben wird, gibt es hier keine Bäume. 

Der Astrotourismus hat auch hierher gefunden. Die Ankündigung kam zwar über Facebook, aber "Astro Andalus" bietet Touren hauptsächlich in Andalusien an. Der entsprechende Himmel ist auf jeden Fall vorhanden.

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In den zahlreichen Refugios könnte man sich ein paar Tage kostenlos einquartieren, quasi auf sich allein gestellt. Die Pads sind grundsätzlich mit einem Kleinwagen zu bewältigen. Ist natürlich immer eine Frage, was seinem Wagen zumuten möchte. Hier oben wird hauptsächlich Weizen angebaut und werden Schafe gehalten. Entsprechend gibt es auch Wasserquellen und Viehtränken. Ein ebenfalls faszinierender Ort. Ich habe 2002 in der Sierra Nevada zwei Tage in einem solchen Refugio auf mich allein gestellt, beobachtet.  Insgesamt befindet sich dieser Teil nochmal 30 km vom Pinar entfernt. Lichtquellen sollten also definitiv kein Thema sein. Ob der Schein von Granada bis hier her reicht, kann man natürlich nicht sagen. 200 km Entfernung können reichen müssen sie aber nicht, wie der Fall Madrid und die Serrania de Cuenca zeigen. Das nächste Mal wenn ich hier bin, werde ich dort ein mal beobachten.

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{{NGC 6939 & 6946}}

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{{Sh2-101 - Tulpennebel}}

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So jetzt aber zur Beobachtungsnacht. Sehr gute Bedingungen. Luftfeuchtigkeit ist deutlich gesunken. Diese Nacht wird nur das Autodach nass, d.h. etwas mehr als 70% relative Luftfeuchte. Transparenz ist hervorragend. Heute ist der Mond schon deutlich zu sehen, wird aber nicht stören. Heute ist die letzte Nacht. Morgen ist starker Wind angekündigt. Habe schon überlegt eine Nacht dran zu hängen, mich aber aus diversen Gründen dagegen entschieden.Der Wind legt schon diese Nacht zu, insbesondere in der zweiten Nachthälfte.

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![[NGC 6623]]

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{{NGC 6623}}

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Wieder eine Nachschau zum Tulpennebel.

''Sh2-101:'' Bei 114 fach und Hß-Filter werden jetzt tatsächlich auch die Dunkelschläuche sichtbar. Blickweise, wenn man weiß, wo man suchen muss. Wirken ganz ähnlich wie die von M16. Bilden ein spitzes Dreieck. Der Hß-Filter wirkt viel besser als der UHC. Warum ich diesen ursprünglich gewählt habe, bleibt mir im Nachhinein ein Rätsel.

Zweites Objekt ist Arp 297. Mal wieder eine Nachschau. Gestern war aufgrund der Luftfeuchte kaum etwas zu erkennen. Die Galaxien sind quasi "abgesoffen".

''Arp 297:'' Konnte leider nichts Neues erkennen. Der nördliche als auch südliche Spiralarm von NGC 5755 sind einfach nicht zu erkennen. 

Weiter geht es zu einer Galaxie,die in den Ausläufern der noch sternreichen Sommermilchstraße zu finden ist.

''NGC 6623:'' Runde, recht helle Galaxie. Kann bis auf 320 fach vergrößert werden. Helligkeitszunahme zum Zentrum hin. Hat schwachen, kleinen Begleiter. Sonst können keine weiteren Galaxien gesehen werden, außer die westlich stehende NGC 6619.

!!!M33 ist direkt sichtbar 

M33 steht nur ca. 20° Grad über dem Horizont. Lasse meine Augen über dem Zielgebiet kreisen. Indirekt dann sofort gefunden. Dann der Versuch M33 direkt zu sehen. Fokussieren...und ja, ist direkt sichtbar und lässt sich halten. Wow!

Betrachte nun die Sommermilchstraße mit bloßem Auge. Sie scheint einem "auf den Kopf zu fallen". Das SQM-L sekundiert 21.7. Eigentlich nichts überragendes. Trotzdem scheint 7timer wieder recht zu haben. Hat ab der zweiten Nachthälfte noch mal bessere Transparenz vorhergesagt.

Eines der schönsten Paare ist NGC 6939 & 6946. Die Galaxie und der Sternhaufen. Schon im Feldstecher sehr sehenswert. Unter dunklem Himmel werden sogar Spiralarme von NGC 6939 sichtbar. Für mich am Sommerhimmel immer wieder ein Muß! 

Es geht weiter in den Herbst. NGC 891. Dazu muss man nicht mehr viel sagen oder schreiben. Nur so viel.

''NGC 891:'' Erstaunlich schwach. Bei 168 fach wird das Staubband sofort sichtbar. Der zentrale, hellere Bulge auch. Südlich scheint der Ausläufer bei einem Stern zu enden, geht jedoch über diesen hinaus. 

!!!Der Sternenhimmel am Morgen ist der gleiche wie im Dezember am Abend

Beginne eine Zeichnung. Was für ein Fehler. Es fehlt die notwendige Zeit. Wollte mir noch einen Puffer vorhalten, um den Himmel noch mal gebührend zu feiern. Die astronomische Dämmerung setzt heute um 05:30 Uhr ein. In dieser Woche habe ich morgens bereits 15 min hinzugewonnen. Erstaunlich. 

Das Zodiakallicht ist unglaublich hell. Die Lichtbrücke kaum zu übersehen. Der Gegenschein im Sternbild Steinbock steht kurz vor dem Untergang. Die Sommermilchstraße hat eine Position am Himmel eingenommen, wie man sie im Dezember zu Beginn der Nacht  sieht. Der Orion ist fast vollständig aufgegangen. Das gleiche gilt für die Zwillinge.

Solche Momente sind einfach magisch.

[[zurück zum Artikel >>|Spanien - Im Süden nichts Neues]]

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29137853217/in/dateposted-public/" title="Tivoli Sky"><img src="https://farm2.staticflickr.com/1840/29137853217_fdf7505622_h.jpg" alt="Tivoli Sky"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>All Sky Panorama von letzter Nacht kurz nach Dämmerungsende.</div>

Nach dem Frühstück sind hohe Wolken im Norden zu erkennen. Die Super Transparenz ist futsch. Vom Weltall zurück auf die Erde. Der Wind ist jetzt auch wieder kräftig zu hören, denn die Palmen rascheln. Trotzdem am Boden windstill. So wie man das kennt.

Gegen Mittag bricht hier ein Sturm los. Unglaublich! Schätze das die Böen bis 60 km/h gehen. Der Himmel bricht auch total ein. Werde gegen drei Uhr von zwei Sternfreunden geweckt. Sie berichten mir, dass der Dobson im Wind keine gute Figur abgäbe. Es hat die Abdeckplane herunter gerissen und er steht voll im Wind. Wir versuchen die Plane auf dem neuen ausgerichteten Dobson wieder zu befestigen. Mann oh Mann. Mache auch meinen ~QuickFinder ab und dieser ist mit einer total feinen roten Sandschicht überzogen. Mehr können wir aber nicht tun. Das Gerät in den Schuppen zu fahren macht auch keinen Sinn, da die Gefahr besteht, das er durch eine Windböe einfach umzufallen droht. Nix zu machen. Wir decken ihn wieder ab und spannen den Windschutz neu. Noch nie so einen Wind hier erlebt. In 2-3 Tagen sollen die Temperaturen bis unter den Gefrierpunkt fallen. Das bedeutet, dass die nächste Kaltfront rein ziehen wird. Dann wird es auch vermutlich wieder klar werden. In der Regel ist es auch so, dass die Temperaturen gemäß Vorhersage in der Nacht um mindestens bis 5 °C nach unten hin abweichen.

Gegen Abend lässt der starke Westwind nach. Gegen 20:15 Uhr bin ich schließlich beobachtungsbereit. Zuvor habe ich noch die Laufflächen des Dobsons abgewischt, da der Wind sie total versandet hatte. Es ist warm. Wind kommt aus West. Erstes Objekt ist Omega Centauri. Unbegreiflich! Dann Centaurus A, sowie NGC 4945. Wow!

[[NGC 4945]]: Riesige Galaxie in Kantenlage. Es zeigt sich eine strukturierte Galaxie, die am besten bei 454 fach beobachtet werden kann. Zeigt verschiedene helle Gebiete mit Dunkelwolken. Zentrum diffus und kaum heller als der Rest des Galaxienkörpers, kann aber eindeutig erkannt und identifiziert werden. Im Galaxienkörper können verschiedene schwache Vordergrundsterne ausgemacht werden. Enden laufen diffus aus. Unglaubliche Galaxie! Eine genauere Beschreibung findet man in meinem BB vom [[17. Mai 2015|17. Mai 2015 Tivoli]].

Zwei Nächte sind jetzt rum. Transparenz ist wieder etwas schlechter geworden, d.h. so wie man das hier kennt. Alles gut. Wie kalt es gestern war, weiss ich nicht. Mein SQM-L hat gestreikt und so gehe ich mal davon aus, dass es wieder um 0 °C waren. Die Winterklamotten waren angesagt, obwohl ich mit nur einem Pullover lange Zeit „rumgelaufen“ bin. Die niedrige Lufffeuchte lässt einen die Kälte nicht sofort spüren.

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So, schon halb elf. Himmel ist heute irgendwie seifig. Kein Wunder bei dem Sturm. Trotzdem werden jetzt 21.62 mit dem SQM-L erreicht. 

[[Minkowski 2-9]]: Bipoler Nebel in dessen Mitte ein gut erkennbarer ZS steht. Nord-Südlich ausgerichtet. Bei 670 fach nur noch schwach erkennbar. Bessser bei 454 fach. Dann zeigt sich ein symmetrischer „Schmetterling“, der N-S ausgerichtet ist. Nördlicher „Flügel“ deutlich heller, mit hellerem, diffusen, ovalen Knoten. Südlicher schwächer, aber auch hier zeigt sich mittig ein hellerer Knoten, der aber schwächer ist, wie auch der gesamte „Flügel“. Neben dem nördlichen „Flügel“ sehr schwacher Stern, der nur kurz indirekt gehalten werden kann. Seeing 1-2.

[[Peimbert-Batiz 10]]: Trotz 25 Zoll Öffnung ist dies kein einfaches Objekt. Recht lichtschwach bei 670 fach. Reagiert auf OIII-Filter. In Momenten ruhigen Seeings zeigt sich ein winziger, leicht elliptischer Nebelring, der an seinen längeren Seiten auf beiden Seiten hellere kurze, symmetrisch gegenüberligende Teilstücke aufweist. Beobachtung am Besten bei 670 fach und ohne Filter. Geduld ist hier gefragt, um die Momente ruhigen Seeings abzuwarten. Auch versucht auf 1200 fach zu gehen. Handling zu schwierig. Seeing 1-2.

Mittlerweile nur noch +6 Grad Celsius. Der Wind kommt wieder aus Süd. Die Kaltfront ist unterwegs. Hoffentlich.

[[Dengel-Hartl 4]]: Nur zu sehen, wenn man die exakte Position kennt. Dann zeigt sich bei 100 fach und max AP und mit OIII-Filter ein schwaches ca. 1‘ großes, rundes Glimmen neben einem Stern. Ohne Filter ist an der Position auch kein Stern zu erkennen. Mit UHC auch zu sehen, nur schwieriger. Bei 114 fach und OIII sehr, sehr schwer und kaum sicher zu sehen. Aber sichere Beobachtung bei 100 fach und OIII. Schwer!

+ 2 Grad C. Ok, jetzt haben wir doch noch normale Temperaturen. SQM-L 21.95 im Zenit im Mittel! 

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[[NGC 246 - Totenkopfnebel|NGC 246 - Totenkopfnebel]]: Bei 178 fach und OIII-Filter wird ein runder, leicht ovaler Nebel sichtbar. Ich vergrößere zwar bis 278 fach, aber das ist zu viel. Besser 178 fach, da der Nebel dann sehr strukturiert und faserig wirkt. Nebelkante wirkt sehr definiert und ist umlaufend fast durchgehend sichtbar. Verschieden helle Segmente auf dem Rand mit Knoten und faserigen Strukturen, die ins Innere ragen. Insgesamt drei gut erkennbare Dunkelgebiete im Innern identifizierbar. Echtes Highlight. Dieser Nebel scheint von der Öffnung zu profitieren.

Tja, die guten SQM-L Werte sind wohl auf die Wolken zurückzuführen, die gerade durchziehen. Der Himmel ist seifig, aber das SQM-L spuckt Werte über 21.9 aus. Bei der Beobachtung von NGC 246 zuvor wird der Nebel zeitweise immer wieder dunkler, um dann wieder in der Helligkeit unvermittelt zuzulegen. Egal, denn der Mond ist aufgegangen und jetzt kann man die Wolken auch sehen. Ich bin aber heute eh fertig. Fertig? Stelle doch noch mal den Mars ein. Das Seeing ist ganz passabel. Jetzt bin ich aber fertig.

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[[<<Zurück zur vorangegangenen Nacht|5. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|7. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/23865397049/in/datetaken/" title="This is a panorama shoot at dusk from Roque de los Muchachos (Canary Island). Left the amazing zodiacal lights is terribly bright. At the right the summer Milky Way just before setting."><img src="https://farm2.staticflickr.com/1595/23865397049_8d39016c82_h.jpg" alt="This is a panorama shoot at dusk from Roque de los Muchachos (Canary Island). Left the amazing zodiacal lights is terribly bright. At the right the summer Milky Way just before setting."></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Das Wetter beruhigt sich weiter. Auf dem Roque lässt der Wind nach. Die Temperaturen sind allerdings gefallen. Heute Nacht fahre ich wieder hoch.Wind aus NO-O. Oben angekommen wird alles zügig auf der "Halde" aufgebaut.

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Ich werde die Nacht mit hervorragendem Seeing belohnt. Der immer wieder auffrischende Wind um 20 km/h nervt mich aber gewaltig. Die Luftfeuchte ist am Anfang sehr niedrig. Steigt aber bis zum Ende auf 70% an.

Erstes Objekt ist IC 2149.

[[IC 2149]]: Zunächst zeigt sich bei mittlerer Vergrößerung ein unscharfer Stern. Bei 420 facher Vergrößerung erscheint ein bipolarer Nebel um einen Stern. Strichförmig in dessen Mitte der Zentralstern steht. An beiden Enden befinden hellere Knoten. An einer Seite, etwa halbseitig geht eine schwächere Fahne ab.

Puh. Auch hier wieder zwei Stunden unterwegs. So kann das aber nicht weiter gehen. Auf der anderen Seite. Ist doch wurscht. Bin im Urlaub. Und das Schöne ist, dass die Objekte nicht weglaufen.

Der nächste Nebel ist eine Verwechselung. Wollte eigentlich NGC 2174 beobachten und zeichnen. Aber was solls. Habe die Zeichnung bzgl. Sternfeld schon vorbereitet. Außerdem habe das Teil wohl tatsächlich nie beobachtet.

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![[IC 2149]]

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{{IC 2149}}

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![[Sh2-261 - Lower's Nebel]]

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{{Sh2-261 - Lower's Nebel}}

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![[NGC 1491]]

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{{NGC 1491}}

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![[NGC 2440 - Insektennebel]]

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{{NGC 2440 - Insektennebel}}

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[[Sh2-261 - Lower's Nebel]]: Mit UHC-Filter parallel zu einer Sternenkette ein schwacher, recht breiter, leicht gebogener Nebel sichtbar. Form Erdnussförmig, Dies ist aber nur der hellste Teil des Nebels. OIII-Filter lässt den Nebel verschwinden. 

Einen Teil der Zeichnungen insbsondere jene mit reichem Sternfeld werden mit Hilfe eines Planetariumsprogamms vorgezeichnet, d.h. die Sterne am Bildschirm durchgepaust. So entfällt das lästige Zeichnen der Sterne. 

Dies hat folgende Vorteile: 

1. Sterne sind tatsächlich an der richtigen Position<br>
2. Objekte im reichen Sternfeld (z.B. IC 59) wirken so realistischer. Die Sterne sind nämlich ohnehin nicht zeichenbar, da an Anzahl viel zu hoch.<br>
3. Ich verbringe häufig die meiste Zeit mit dem lokalisieren und prüfen von Sternpositionen, die dann gezeichnet werden. Meist sind die Positionen dann aber doch nicht korrekt.<br>
4. Eine Beschäftigung mit den Objekten beginnt bereits im Vorfeld.<br>

Bei Objekten, bei denen nicht feststeht, ob sie überhaupt sichtbar sind und welche Vergrößerung optimal ist, mache ich das nicht. Das betrifft, z.B. die Abell-Nebel, um mal einen typischen Vertreter zu nennen. In der Praxis bedeutet dies auch mehr Disziplin im vorbereiten der Objekte, da ja die Sternkarten gezeichnet werden müssen. Ist man mit seinem Programm allerdings durch sitzt man auf dem trockenen oder man muss z.B. einen Laptop mitführen, der einem die Vorbereitung quasi zwischendurch ermöglicht.

Das SQM-L zeigt Werte im Zenitbereich um 21.6. Guter Roque Durchschnitt. Trotzdem fühle ich mich an Nambia erinnert. Die Sterne scheinen einem auf den Kopf zu fallen. Nächstes Objekt ist NGC 1491. 

[[NGC 1491]]: Direkt neben einem Stern zeigt sich mit kleinem Abstand ein recht heller Nebel. Ist schon beim Aufsuchen direkt sichtbar. Bei 114 fach und OIII am Besten zu beobachten. Form halbkreisförmig bzw. genauer mit z.b. leichten Kanten, die leicht windschief verlaufen. In einer Verlängerung zeigt sich abgesetzt ein weiterer schwacher, ovaler Nebelteil. An dem längeren und helleren Nebelbalken geht eine Fahne Richtung Zentralstern ab. Lässt sich relativ hoch bis auf 168 fach vergrößern.

Als nächstes nochmal Ellis bzw. EGB 4. Aber nichts zu sehen. Leider. Dann ein alter Bekannter. Abell 7. Nur aus Spaß eingestellt. Die hellsten Nebel teile werden schnell mit OIII sichtbar. Erstaunlich, dass ich mir früher da so einen abgebrochen habe. Nun versuche ich mich tief im Sternbild Vela umzuschauen. In Sky Safari werde ich auf NGC 2626 aufmerksam.

''NGC 2626:'' Recht großer, runder Nebel um einen Stern. OIII wirkt am Besten. Keine weiteren Strukturen. 

Als nächstes wieder ein Standardobjekt.

''M1 - Krebsnebel:'' Oval und hell. Bei 65 fach noch diffus und ohne Struktur. Kann bis auf 420 fach ohne Probleme vergrößert werden. Dann tauchen Dunkelstrukturen ähnlich wie bei einem Schwamm auf. Sehr eindrucksvoll.

[[NGC 2440 - Insektennebel]]:  Macht seinem Namen alle Ehre. Es zeigt sich in der Mitte ein auffälliges und recht helles "u". Ober und unterhalb zeigen sich zudem ovale, etwas schwächere Nebelknoten. Das Ganze wird durch einen schwächeren diffusen Spindelförmigen Halo umgeben, der zur einen Seite zwei schwache Ausläufer als Fransen hat.

Seeing ist Super. Jupiter kann bis auf 420 fach vergrößert werden. Dann zeigen sich in den Wolkenbändern haarfeine Strukturen. Habe bisher noch nie an diesem Teleskop bei Planeten eine so hohe Vergrößerung sinnvoll einsetzen können. Bin sprachlos.

Der Komet Catalina ist mein letztes Ziel.

''C/2013 US 10 (Catalina):'' Bei 65 fach zeigt sich der Komet mit einer dichten und relativ hellen Koma. Schweif ist ganz schwach bis auf ca. 1° erkennbar. Kurzer Gegenschweif ist angedeutet. In der Nähe steht auch NGC 5466. Schöner Anblick.

So. Es ist mittlerweile fünf Uhr durch. In etwa 20 min geht der Mond auf. Das war es für heute. Der Wind hat nachgelassen, wobei man ihn entfernt noch durch die Büsche fahren hört. Bei der Vorbeifahrt an der Residencia wackeln die Büsche gar noch. Am Haus angekommen ist es zwar klar, aber es wabern recht nahe noch Wolken umher. Man gut das ich hoch gefahren bin. Vermutlich war es hier die meiste Zeit bewölkt. Am folgenden Tag ist es bewölkt und die Sonne nicht zu sehen.

[[Weiter zur nächsten Nacht >>|7. Januar 2016 - Roque de los Muchachos]]

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Wieder klar. Bin heute nun endlich am neuen Platz. Kaum Wind nur ab und zu meldet er sich, wenn er aus Südost kommend leicht aufbraust. Nachts ist es nicht mehr ganz so kalt. Die Dämmerung ist faszinierend. Rundumsicht spektakulär. Wie aus einem Planetariumsprogramm. Tagsüber ist der blaue Himmel einem graublauen gewichen. Flugzeuge zeigen keine Spuren mehr am Himmel. 

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Tatsächlich erkennt man den Einbruch der astronomischen Dämmerung fast minutengenau. Die Bedingungen sind heute nicht so gut. Es scheint etwas diesig zu sein, was sich aber im Laufe der Nacht bessert.

Im Laufe der Nacht werden 21.56 bis 21.6 erreicht. Es ist mit 7 °Celsius frisch. Zunächst geht es wieder weiter mit Abell 1656. Anschließend stehen noch M64 & M106 auf der Zeichenliste.

Bereits vor Einbruch der astronomischen Dämmerung einfach zu erkennen. Im Teleskop ähnlich spektakulär wie zuvor beobachteter M13.

''NGC 4088:'' Interessante Galaxie. Spindelförmig mit kaum erkennbarerer Helligkeitszunahme zum Zentrum hin. Hat zentralen Balken mit abgehenden Spiralarmen. Südlich NGC 4085, zigarrenförmig und viel kleiner. 

UGC 5376 befindet sich nahebei M106. Die schwache Galaxie ist geradeso erkennbar, d.h. blickweise immer wieder.

[[Weiter zur nächsten Nacht >>|7. Mai 2016 - Rhön]]

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Abziehende Zirren am Abend. Und eine sehr farbenfrohe Dämmerung erwartet uns am Beobachtungsplatz. Die Wetterberichte sind uneins, ob es tatsächlich die gesamte Nacht absolut klar sein soll oder die Zirren mehr oder weniger die gesamte Nacht dominieren werden. Deshalb sind Mathias und ich auch am überlegen, ob wir heute tatsächlich noch mal rausfahren sollen. Wir haben ja praktisch schon eine perfekte Nacht hinter uns. Eine „halb gare“ Nacht im Anschluss wollen wir eigentlich nicht. Dafür ist auch einfach zu kalt.  Letztlich überwiegt aber der Mut das ganze doch zu versuchen.

Ich treffe bereits in der Dämmerung als erster ein. Aufgrund der Praxis der letzten Tage habe ich auch schnell aufgebaut. Praktisch windstill ist es und mit 0 °C direkt kalt. Die Zirren dominieren noch den Westhimmel. Dennoch kann man bereits an den Dämmerungsfarben im Westen über der Wasserkuppe erkennen, dass die Transparenz sehr gut sein muss. Das ist auch schon auf der Autofahrt aufgefallen, denn die Fernsicht war unglaublich gut.

Wir hoffen darauf, dass die Luftfeuchtigkeit heute etwas niedriger ist. Denn dann ist die Kälte 🥶 um -5 °C deutlich erträglicher. Am Anfang der Nacht scheint es auch tatsächlich so zu sein, denn mit 64 % lässt es sich tatsächlich gut aushalten. Leider bleibt das nicht so und am Ende haben wir wieder die üblichen Eispanzer. 

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Anfang März kommt es zu einer nahen Begegnung zwischen Mars und den Plejaden. Man spricht in solchen Fällen, wenn sich Himmelskörper scheinbar am Nachthimmel begegnen, von Konjunktionen. Die Plejaden werden häufiger von den Planeten „heimgesucht“, denn sie liegen mitten auf der Ekliptik. Weiter oben erkennt man den berühmten California-Nebel. Der Gradient in der linken unteren Bildhälfte stammt übrigens vom Zodiakallicht.

<<<

Ich möchte noch mal einen Bekannten von gestern besuchen. Es ist der offene Sternhaufen NGC 2112 im Orion. Im Feldstecher war er gestern nur als matter Schimmer zu erkennen. Jetzt im 14 Zoll Dobson bei 65 facher Vergrößerung sieht das schon besser aus.

<<<

NGC 2112: heute im 14 Zöller bei 65 facher Vergrößerung. Es zeigt sich ein unscheinbarer, runder, Offener Sternhaufen in dessen Zentrum zwei Sternpaare zu erkennen sind. Im Außenbereich ist ein noch hellerer Stern zu sehen, wobei unklar ist ob er noch zum Hafen gehört oder nicht. Um die beiden Sternpaare sind geschätzt über 50 schwache Sterne zu erkennen. Unscheinbarer Haufen. Dennoch interessant!

<<<

!Beste Nacht dieser Märzserie

Bedingungen sind wieder gut. Allerdings ist der Himmel heller, was aber täuscht, denn SQM-L Werte und Fotos sagen das Gegenteil. Zodiakallicht ist wieder gut zu erkennen. Im Zenit werden 21.6 kurz nach Einbruch der astronomischen Dämmerung erreicht. Richtung Horizont brechen die Werte allerdings ein auf 21.2, denn hier z.B. im Orion sind noch Zirren unterwegs. 

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/bP11rU" title="Lichtbrücke &amp; Gegenschein"><img src="https://live.staticflickr.com/65535/51012144887_7463195591_h.jpg" alt="Lichtbrücke &amp; Gegenschein"></a>Die Zirruswolkenbank bleibt zum Glück am Horizont. Der Himmel ist heute noch einmal dunkler und transparenter als gestern. Die Lichtbrücke und der Gegenschein sind schwach am Süwesthimmel erkennbar. Visuell und mit bloßem Auge 👁 hingegen war nur der Gegenschein wahrnehmbar. Im Norden „wartet“ bereits die Sommermilchstraße auf ihren großen Auftritt für die kommenden Monate.</div>

<<<

Noch mal [[NGC 2403]]: Selbst bei 80 fach sind die hellsten HII-Regionen schon eindeutig und auffällig erkennbar. Die Galaxie zeigt in Gänze zwei große Spiralarme, die sich um das Zentrum winden. In der Nähe des Zentrums wirkt die Galaxie – wie Mathias sagt – „flockig“, wobei ein abgehender Arm deutlich zu erkennen ist und vorübergehend sogar an Helligkeit stark zunimmt. Selbst die das interessante Paar HII-Gebiete im Westen und leicht außerhalb der Galaxie ist bei 80 fach gut erkennbar. Das Zentrum wirkt unruhig und gemottelt. Die tatsächlichen Strukturen sind aber schwer zu erkennen. Vom länglichen Zentrum aus scheinen kurze Arme abzugehen.

<<<

!Wir haben mit dem Wetter einfach nur Glück 🍀 

Es wird mit steigender Luftfeuchtigkeit, die schließlich die 85 % erreicht, immer unangenehmer. Die Temperaturen sind mittlerweile auf -5 °C gefallen, und machen auch keine Anstalten mehr zu steigen. Der Himmel wird immer dunkler und erreicht schließlich im Zenit dauerhaft die 21.85. Die Zirren bleiben die ganze Nacht über unsere Begleiter, stören aber nicht, da sie nur einen schmalen Bereich vom Nordwesten bis in den Südosten einnehmen. Das quasi ortsfeste Band erinnert uns aber daran, dass wir enormes Glück haben, was das Wetter anbetrifft. Die Transparenz muss heute auch außergewöhnlich gut sein, denn später kann ich auf einer Aufnahme den Gegenschein und sogar die Lichtbrücke erkennen.

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/f66My6" title="Untitled"><img src="https://live.staticflickr.com/65535/51016707137_3d10f8e1e7_h.jpg"></a> Zum Schluss stehe ich einfach da und staune über den grandiosen Himmel. Das war ein richtig guter Märzauftakt mit drei sehr guten Nächten.</div>

[[NGC 3631 mit 14 Zoll]]: zufällig aufgefunden bei der Suche nach M97. Direkt im 9 mm Okular bei 168 facher Vergrößerung zeigt sich eine fast kreisrunde Galaxie mit hellem Kern und sternartigen Zentrum. Bei geduldiger Beobachtung zeigen sich schließlich zwei Spiralarme und ein auffälliger, flächiger und heller Knoten. Etwas abseits weiterer etwas schwächerer. Im kurzen Spiralarm zeigen sich  insgesamt drei helle Segmente. Weitere diffuse Spiralarme zeigen sich ebenfalls, wobei diese schwer zu trennen sind. Umlaufender diffuser Arm, der den Galaxienkörper insbesondere nach Osten hin abgrenzt.

Mathias schlägt als nächstes Objekt [[Leo I|Leo I = UGC 5470]], eine Zwerggalaxie direkt neben Regulus, vor. Ok, ansurfen mit 9 mm oder 168 fach. Einfach so schauen und „entdecken“. Klappt nicht. Die Vergrößerung und das Gesichtsfeld sind trotz 120° zu klein. Mit 20 mm taucht sie dann „einfach“ im Gesichtsfeld auf.

[[M88]]: Helle Galaxie, die bis auf 290 fach vergrößert werden kann. Dann zeigt sich ein heller Kern mit sternartigen Zentrum. Um den Kern winden sich zwei helle Spiralarme und einer außen. Dieser ist nördlich hell und droht dann fast zu verschwinden, um dann auf einen Stern zulaufend als leicht gebogener „Strich“ wieder aufzutauchen. Gegenüberliegend südlich nahe des Kerns abgehender, steiler Spiralarm. Wechsele auch die Vergrößerung hin und wieder zurück zu 168 fach, um bei höherer AP die feinen und lichtschwächeren Strukturen „einzufangen“.

M99: Im 21 Zöller wirkt die Galaxie wie eine Miniaturausgabe von M101. Spiralarme sind sofort hell und deutlich erkennbar, zum Teil mit helleren Segmenten und Abbrüchen durchsetzt. Spektakulärer Anblick!

NGC 5466: unscheinbarer Kugelsternhaufen in der Nähe von Arktur. Visuelle Größe 9 mag. Kann schon bei 80 fach fast vollständig aufgelöst werden. Hellere Sterne im Außenbereich. 

!!Die Deep Sky Objekte sind ungewöhnlich hell

Dann M13 und der Vergleich mit M3, den M13 klar für sich entscheidet. In M13 erkennen wir einfach den „Propeller“, eine „dreiarmige Dunkelstruktur“ in Form eines Propellers oder „Mercedessterns“. Der Kugelsternhaufen ist bei 80 fach bis in das Zentrum hin komplett aufgelöst und richtig hell. Das liegt mit Sicherheit auch an der Transparenz.

Es geht schließlich in loser Folge weiter mit Objekten, die mir einfach so durch den Kopf schießen. M57 zum Beispiel, der Planetarische Nebel, der trotz des tiefen Standes richtig hell erscheint. Dann lande ich zum Beispiel bei IC 2574, auch bekannt unter „Coddington's Nebel“, einer schwachen diffusen Galaxie mit Knoten im Außenbereich. Diese sind sofort erkennbar und der Galaxienkörper auch. Ich toppe das Ganze noch mal in dem ich die benachbarten Galaxien M81 und M82 einstelle. Krass! Wie hell und gleichzeitig kontrastreich! Der Himmel ist heute wirklich gut. Es geht zurück zu M51 und schließlich auch M101. M97 und Schluss!

Mathias ist schon beim zusammenbauen und ich beginne jetzt auch. Als der Mond aufgeht fährt er, während ich noch warte, bis meine Frontscheibe eisfrei ist. Geniale Nacht war das. Viel zu schade um sie nicht zu nutzen, wie wir ursprünglich vor hatten.

[[<<Zurück |2. März 2021 - Lange Rhön]] | [[Zurück zur Beobachtungsübersicht >>|Frühjahr 2021]] 

Die Woche zuvor, genauer am 2. November, war es tagsüber mit 22 °C und reichlich Sonne warm wie im Sommer. Schon komisch. Der Herbst hatte bis jetzt ordentlich Regen im Gepäck. Die Natur wird es freuen. Uns Hobbyastronomen aber nicht. Endlich beruhigt sich schließlich die Lage und es gibt Anfang November eine klare Nacht. Sie fällt sogar auf ein Wochenende, was ein zusätzliches Glück ist. Trotzdem gibt es zunächst nur 2.5 Stunden astronomische Nacht, bis schließlich der Mond gegen halb zehn aufgeht.

Der Plan ist zunächst nur lose Spechtelei und maximal ein ernsthaftes Objekt. Wenn der Mond aufgeht, dann kann man noch mal Mars versuchen. Gegen 23:00 Uhr ist dann der geplante Aufbruch spätestens angesagt, so dass ich gegen 1:00 Uhr zu Hause bin. Beobachtet wird wieder in der Langen Rhön, an einem Platz, von wo kein direktes Licht, bis auf vereinzelt durchfahrende Autos, sichtbar ist. Solche Orte, von denen kein direktes Weißlicht aus sichtbar ist, sind tatsächlich sehr selten und werden immer rarer. Es sollte aber anders kommen...

!!Der neue Beobachtungsstuhl ist mit dabei

Mit dabei ist heute mein [[neuer Beobachtungsstuhl|Der Stuhl...kann der weg?]], die jüngste Investition in mein Astro-Equipment. Habe ihn zu Hause schon mal rudimentär ausprobiert und bin relativ zufrieden. Einzig ist mir aufgefallen, dass der Stuhl sofern ich ihn auf einer Seite belaste für einen Moment kippelt, da das Gewicht offenbar einseitig zu hoch ist. Halt wie wenn man sich auf das Ende einer leeren Bierbank setzt. Nun gut, wenn das das einzige Problem ist, dann ist das nicht schlimm, denn wenn man erst mal oben sitzt, steht alles ganz ruhig.

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50574493138/in/dateposted-public/" title="Lange Rhön 06.09.2020 nach Einbruch der astronomischen Dämmerung."><img src="https://live.staticflickr.com/65535/50574493138_46e94dbae2_h.jpg" alt="Lange Rhön 06.09.2020 nach Einbruch der astronomischen Dämmerung."></a>Der Himmel war schon um 19 Uhr richtig gut. Da kann man nicht meckern. Das grüne Glimmen Richtung Horizont ist allerdings astreine Lichtverschmutzung und nicht zu verwechseln mit Airglow.</div>

!!Coronamaßnahmen im Blick

Auf einem touristischen Ausflug im Vorfeld verzichte ich, denn wir stecken ja wieder mitten in einem Lockdown. Da sind natürlich Reisen und Ausflüge nicht das wahre. Ich sehe das bei astronomischen Beobachtungen allerdings anders. Ich treffe praktisch keine Leute und selbst wenn ich mit Mathias unterwegs bin, halten wir beide genügend Abstand. Sonst gibt es bei solchen Dingen keine Begegnungen und das ist auch richtig so.

!Von der Jägerin angezeigt

Kaum wird es dunkel, taucht ein Wagen auf. Es ist Mathias. Wir begrüßen uns kurz und dann taucht ein weiteres Fahrzeug auf. Es hält und direkt werden wir angeschnauzt: wir würden seltene Tiere verscheuchen und im übrigen sei es total verboten hier stehen zu bleiben. Wir lassen die Schreierei über uns ergehen bis es mir schließlich reicht. Ich versuche die Dame zu unterbrechen und unsere Sicht der Dinge darzulegen. Das gelingt nicht wirklich und es endet damit, dass wir bei der Polizei angezeigt werden. Unsere Kennzeichen werden von ihr per Telefon durchgegeben und auch die Tatsache, dass wir glauben würden, dass wir im Recht seien. Glauben wir auch.

Zuvor habe ich versichert, dass wir nie wieder hier auftauchen würden, aber ich eben mein Teleskop nicht direkt wieder abbauen könne, denn in zwei Stunden geht der Mond schon wieder auf. Keine Chance, wir seien illegal. Das wir nicht vor Ort erschossen werden, ist ein Wunder.

Wir gehen davon aus, dass uns die Polizei aufsuchen wird. Nichts dergleichen geschieht. Auch nach zwei Stunden nicht. Die Jägerin verschwindet wieder und taucht erst kurz vor Monduntergang wir auf, um uns auf Abstand zu beobachten. So scheint es zumindest. 

!!An Beobachten ist praktisch nicht zu denken

Und das obwohl der Himmel gut ist. Obschon direkt nach der astronomischen Dämmerung, kann man sehr gut beobachten und so stelle ich in loser Folge irgendwelche Highlights des Sommerhimmels ein. 

!!Nebel um γ Cygni

Wow, bei 65 fach sehr schön sichtbar. Und das um diese Uhrzeit. Die Bedingungen sind einfach phänomenal.

!!NGC 281

Bereits auf La Palma war dies ein Beobachtungsziel. Ich habe heute mal versucht im 14 Zöller das Ganze anzuschauen. Und ich muss sagen, dass selbst in mittelgroßen Geräten NGC 281 sehr lohnend ist. Voraussetzung ist allerdings ein Filter. In meinem Fall habe ich einen UHC-Filter benutzt. Dieser scheint besser als der OIII zu funktionieren. Zumindest war das die Erkenntnis bei der letzten Beobachtung auf La Palma.

!!Mars zeigt viele Details bei gutem Seeing

Mars zeigt wirklich viele Details. Sehr schön! Die „große Syrte“ erscheint am Planetenrand. Faszinierend.

Nach dem Schreck beschließen wir schließlich morgen auf der Wasserkuppe zu beobachten und diesen Platz hier zu meiden. Ich habe auch den Sternpark Rhön kontaktiert, um den Sachverhalt zu klären. Ich habe im Netz auch [[einen Artikel gefunden|https://www.infranken.de/lk/bad-kissingen/nur_saalezeitung/touri-alarm-in-der-rhoen-art-5090132]], der die Problematik im Naturschutzgebiet schildert. Dabei geht es hauptsächlich darum, dass man dort keine Leute mehr haben möchte bzw. in den letzten Jahren zu viele Menschen dort aufgetaucht seien. 

!Doch keine Anzeige?

Am nächsten Morgen telefoniere ich verschiedene Polizeistationen durch. Schließlich lande ich bei der richtigen. Gegen uns liegt nichts vor. Das war ein richtig guter Bluff! Aber, die Jägerin scheint recht zu haben. Am Rande, d.h. bei der Einfahrt in die Lange Rhön, zeigen entsprechende Schilder ein generelles Halteverbot außerhalb der Parkplätze an. Deshalb müssen Verbotsschilder auch nicht lokal noch einmal aufgestellt werden. Was wohl wiederum ginge, auf Parkplätzen das Fahrzeug abzustellen und dann mit dem Gerät ins Gelände (auf den entsprechenden Wegen) zu gehen, aber ob dieser Empfehlung seitens der Polizei würde ich nicht meine Hand für ins Feuer legen.

Wie auch immer: ein wirklich hervorragender Beobachtungsplatz verschwindet mal wieder. Leider!

Auf dem Rückweg komme ich schließlich noch mal am Parkplatz in der Nähe vorbei und muss sagen, dass er für Beobachtungen aufgrund von nahestehenden Bäumen nur eingeschränkt empfohlen werden kann. Es ist zum „Mäusemelken“...

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;">
<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25758765784/in/datetaken/" title="Untitled"><img src="https://farm2.staticflickr.com/1512/25758765784_5869a9456a_n.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Wolken kommen immer näher.</div>

Leider nichts. Der Wind hat wieder zugenommen und selbst im Westen gibt es bis auf 1700 m Wolken. Seeing sieht mit bloßem Auge wieder so aus wie gestern. Also wieder heim gefahren :(

Lt. Bericht des WHT, lag das Seeing bei 3.5". Mein Gott!

[[Weiter zur nächsten Nacht >>|8. April 2016 - Weinberg über Puntagorda]]

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Am Nachmittag gibt es Wolken ohne Ende. Und kalten Wind aus Südost. Das ist eigentlich eine Mischung die so nicht sein kann. Denn der kalte Südost Wind sorgt normalerweise für klare Nächte. Erstes Objekt ist Jupiter. Drei Leute sind vorbei gekommen und schauen ihn sich an. Das Seeing ist sehr gut, aber die feinsten Details bleiben uns dennoch verborgen. Vermutlich weil der Spiegel noch nicht ausgekühlt ist.

Himmel ist seifig und bis ca. 30 Grad über dem Horizont können schwache Sterne kaum erkannt werden. Trotzdem zeigt das SQM-L 21.76 an. Faszinierend ist auch, wie dichte, aber tiefe Wolken als schwarze „Löcher“ am Himmel erscheinen oder kurzzeitig von den Planeten „erleuchtet“ werdem. Einfach traumhaft. Stelle noch schnell Mars ein. Wie die Tage zuvor ist von Details nichts zu sehen, obwohl das Seeing besser ist. Der Staubsturm scheint sich doch nicht zu legen. 

Auf der Beobachtungsplattform neben mir hat Stefan mit seinem „Fünfling“ aufgebaut. Wir schauen Jupiter, Saturn und Mars in beiden Teleskopen an. Im 10 Zoll „Fünfling“ sehen die Planeten wirklich spektakulär aus. Sehr, sehr feines Gerät.

Jupitermondtransit von Ganymed: Auf dem Jupiter gibt es einen Durchgang von Ganymed. Ich beobachte diesen und stelle in der Simulation fest, dass kein Schatten folgen wird. Bei 358 fach in meinen Pentax 7 mm Ortho zeigt sich zunächst der Mond hell und sternförmig als er den Rand der Jupiterscheibe in Polnähe passiert. Dann wird es zunehmend schwieriger ihn zu verfolgen. Er wird in Momenten ausgezeichneten Seeings als flächenhaftes Sternchen vor der Jupiterscheibe sichtbar. Schwierig zu erkennen, da in Polnähe die Wolkenbänder sehr hell sind. 

Immer wieder ziehen Wolken durch. Ein wirklich spektakulärer Anblick. Pechschwarz vor dem hellerem Himmelshintergrund. Beeindruckend! Zum Programm bin ich bisher nicht gekommen. Wegen der Wolken verschwinden die Objekt einfach. Improvisation ist angesagt.

[[Halo von M57|M57 - Halo]]: Bei 100 fach und 6.25 mm AP sowie mit OIII-Filter wird der schwache Halo recht einfach sichtbar. Etwa so groß wie der von M57, wobei Radius etwas kleiner als der doppelte von M57 (genauer 3/4 davon geschätzt). Schmiegt sich an M57 und hat etwa dessen Form, d.h. oval und definitiv nicht rund. Keine Strukturen erkennbar. Mit UHC ebenfalls sichtbar, aber deutlich schlechter. Bei Steigerung der Vergrößerung auf 178 weiter „erahnbar“ aber nicht zweifelsfrei erkennbar. Mitbeobachter kann die Sichtung __nicht__ bestätigen. Trotzdem aus meiner Sicht eindeutig positive Sichtung, wenn auch schwierig.

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[[Dengel-Hartl 4]]: Nachschau. Heute wird der PN auch mit 178 facher Vergrößerung und OIII sichtbar. Vermutlich konnte ich ihn bei dieser Vergrößerung nicht erkennen, da bereits da schon Wolken die Durchsicht verschlechterten. Der runde Nebel befindet sich direkt neben einem 14 mag hellen Feldstern. Relativ klein. Kann indirekt nicht gehalten werden. Blitzt auch nur hin und wieder - dann aber sicher - auf. OIII und UHC immer wieder verglichen. OIII leicht im Vorteil. Schwer! Erinnert an einen sehr schwachen Abell. 

Es ziehen weiter munter Wolken durch. Zum Glück bleiben weite Bereiche des Himmels frei. Ich schiebe eine Runde „Genussspechteln“ ein. Ziel sind zunächst die Galaxien NGC 247, NGC 55 und der „Silver Dollar”. Sieht bei 65 fach recht „langweilig“ aus. Bei 278 fach werden dann doch nach einer Weile schöne Strukturen sichtbar. Dann folgt der „Silver Dollar“. Oh, Mann. Ganz andere Liga. Stark zerklüfteter Galaxienkörper und unfassbar detailreiche Filamente. Erinnert ein wenig an den Cirrusnebel.

[[NGC 246 - Totenkopfnebel]]: Nachschau. Der Nebel ist mit UHC besser zu sehen als mit OIII. Einfach faszinierend dieses Teil. Sieht aus wie ein Gesicht mit zwei Augen, die durch die Sterne im Nebel gebildet werden. Leider ziehen immer wieder Wolken durch, so dass ich zwangsweise kurze Beobachtungspausen einlegen muss.

''Whiting 1'': Lt. ~SkySafari ein 15 mag KS. Tatsächlich zeigt sich an der richtigen Stelle ein ganz, ganz zartes Glimmen nördlich eines schwachen Sterns. Leider ziehen dann wieder kurz Wolken durch, so daß die Beobachtung final nicht bestätigt und damit als sicher eingestuft werden kann. Nachbeobachtung erforderlich. 

Fünf Uhr mal wieder. Nächste Nacht stört der Mond quasi gar nicht mehr.

[[<<Zurück zur vorangegangenen Nacht|6. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|8. August 2018 - Tivoli Astrofarm]]

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Gestern Mittag angekommen, aber leider ist die erste Nacht bewölkt. Schade. Dafür sollen die nächsten beiden gut sein. Dann zwei Nächte mit hohen Wolken. Mhmmm…aber erst mal auf die kommenden zwei Nächte konzentrieren. Es soll direkt zum Wassertank heute hochgehen. Grund ist die Stimmung da oben, die ich unbedingt genießen möchte.

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Vorbei, geht es an den Tajinasten, die hier oben zwischen den Steinen stehen.

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Bin oben am Wassertank. Komme zum Glück rechtzeitig an, bin wieder überrascht wie schnell die Dämmerung doch voranschreitet.

Doch jetzt noch mal die Stimmung aufsaugen! Wahnsinn, das Licht!

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Bei beim ersten Objekt handelt es sich eigentlich um ein Sommerobjekt und ich habe es auch bereits im Sommer beobachtet, allerdings dann keine Möglichkeit mehr gehabt, eine Nachbeobachtung zu machen. Insbesondere die Hintergrundgalaxien habe ich wohl vergessen, zumindest zum Teil.

![[NGC 6764]]

Kann die winzige Hintergrundgalaxie nordöstlich der Balkenspirale tatsächlich erkennen. Ist etwas schwer. Recht windig, Wind aus Nordost. Soll aber heute Nacht auf Ost drehen. Und tatsächlich tut er das auch und es wird hier oben in der Kuhle dann deutlich windstiller. 

Gute Entscheidung hochzufahren. Der Wind macht mich trotzdem etwas nervös, denn er ist wieder immer unangenehm 😕 und zerrt auch am Teleskop.

![[Grus-Quartett]]

Fantastisch! Wollte dies eigentlich als erstes Objekt diese Nacht machen, aber da hab ich mal wieder die Rechnung ohne mich selbst gemacht: leider habe ich den Wagen komplett Richtung Süden geparkt, so dass ich erst mal warten muss, bis die Galaxien aus dem Süden rausgelaufen sind. Wirklich beeindruckend dieses Quartett! 

![[NGC 55]]

Wahnsinn! Da liegt sie, eine strukturierte und schön anzusehende  „Zigarre“. Habe eine Zeichnung von zu Hause mitgebracht, die tatsächlich sehr gut gelungen scheint. Diese hatte ich auf Basis einer Skizze in Namibia digital angefertigt und ich muss sagen, sie ist wirklich gut. 😌

![[Berkeley 86]]

An der richtigen Stelle ist im Sternfeld ein runder, leicht asymmetrischer Glow zu erkennen. Ist nur bei geringer Vergrößerung zu sehen. Versuche noch ein paar Filter. Allerdings kann ich nichts erkennen, zwei Sterne täuschen den Nebel offenbar nur vor, zumindest ohne Filter. Laut Karte handelt es sich auch um einen offenen Sternhaufen, wenn auch sehr schwach.

Plötzlich ist der Wind weg. Absolut windstill und absolut ruhig. Krass! Vermutlich hat er auf Südost gedreht und jetzt bin ich hier absolut windgeschützt. Leider habe ich hier keinen Empfang um zu gucken, was oben auf dem Berg los ist.

SQM-L 21.7, d.h. klassischer und guter La Palma Himmel. 21.5 mit SQM! Allerdings stört die Milchstraße noch und das Zodiakallicht ist auch noch richtig hell.

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Der Himmel ist irgendwie hell. Zieht hier was durch oder ist es Airglow? Airglow vermutlich, denn sonst würden sich auf dem Foto leichte Höfe um die Sterne 🌟 zeigen. Lichtverschmutzung auch nicht, sonst würden sich keine großflächigen Muster zeigen. Schon Crazy.

!NGC 45

Kleine, sehr unscheinbare Galaxie. Kann bei Übersichtsvergrößerung nicht klar ausgemacht werden. Erst an der richtigen Stelle ist ein unscheinbarer Glow zu erkennen. Bei Steigerung der Vergrößerung zeigt sich eine sehr diffuse Galaxie mit Ansätzen von Spiralarmen. Direkt neben einem Stern und unterhalb eines sehr markanten Sterndreiecks zu finden.

![[Pismis Moreno 1]]

In der Rhön mit 21 Zoll und [OIII] leider nicht definitiv auszumachen. Daher hier mit unter den perfekten Himmel genommen. Und obwohl nicht mehr sehr hoch stehend, kann ich recht schnell mit [OIII] eine zarte Nebelkante ausgehend von einem helleren Stern hin zu einem sehr schwachen und durch sternleeres Gebiet verlaufend, erkennen. Bin überrascht, dass der Bogen indirekt knapp gehalten werden kann. Die Enden des Bogens scheinen, etwas heller zu sein. Sehr schön!

Es ist Mitternacht und endlich kann ich langsam zur Ruhe kommen und den Himmel genießen. Es ziehen offensichtlich noch immer vereinzelt Zirren durch. Trotzdem richtig guter Himmel! Der Wind hat jetzt fast komplett nachgelassen und endlich ist es hier wirklich perfekt. Einzig dass Seeing ist schlecht, aber jetzt scheint es wieder besser zu werden. Ab Mitternacht wird es dann auch endlich kalt, zwischendurch musste ich nämlich auch meine Daunenjacke ausziehen, da mir zu warm war!

![[NGC 1097]]

Wunderschöne Galaxie. Diffuses helles Zentrum und sofort ist auch die Balkenstruktur der Galaxie sichtbar. Bei geduldiger Beobachtung zeigen sich zunächst zwei Spiralarme, die mit Knoten versetzt sind und wie „Krummdolche“ vom zentralen Balken abgehen. Die Galaxie hat ebenfalls einen kleinen Begleiter, der auch recht gut zu erkennen ist. Die Galaxie kann auch recht hoch vergrößert werden, wobei dann die diffusen Spiralarme schwierig zu erkennen sind. Dafür sind Details besser und deutlicher. Insbesondere bei höherer Vergrößerung zeigen sich im Zentrum sternartige Knoten, etwa ein Dutzend an der Zahl. Vergrößerungen 138x, 215x & 351x. 

Mittlerweile ist es doch deutlich kühler geworden. Die Daunenjacke ist jetzt wieder an. Absolut windstill jetzt. Das Seeing ist weiterhin sehr variabel und größtenteils einfach nur schlecht. Habe kurz den Orionnebel angeschaut, aber leider sah das nicht gut aus.

Eigentlich sollte jetzt der Fornax-Galaxienhaufen auf dem Programm stehen. Aber in Sky Safari kennt man das unter der Bezeichnung natürlich nicht. Es müsste tatsächlich die Katalognummer einer der Mitglieder eingegeben werden, um das Ding zu finden. Tja, aber ich habe natürlich nichts aufgeschrieben, so dass ich das Ding nicht einstellen kann. Denn hier oben habe ich natürlich keine Internetverbindung. Das kann man auch mal wieder unter schlechter Vorbereitung verbuchen. 😌 

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![[UGC 3697 - Integralzeichen-Galaxie]]

Bereits bei Übersichtsvergrößerung ganz schwach im Sternfeld an der richtigen Position auszumachen. Wenn man aber nicht weiß wo die Galaxie ungefähr steht, kann man sie bei dieser geringen Vergrößerung leicht übersehen. Sie verschwimmt dann einfach mit dem Himmelshintergrund, insbesondere bei der großen AP von fast 7mm. Kann trotz ihrer geringen Flächenhelligkeit im 20 Zöller bis auf 351x vergrößert werden. Dann zeigt sich eine leicht gebogene Galaxie, ähnlich einem „Integralzeichen“. Besser jedoch wäre von einem „Hockeyschläger“ zu sprechen. Helligkeitszunahme zum Zentrum hin gut wahrnehmbar. Die in der Nähe befindliche linsenförmige Galaxie ist deutlich heller, mit diffusem hellem Zentrum.

Das war das letzte Objekt. Der Mond geht heute um 3:20 Uhr etwa auf. Ich fange schon vorher mit dem abbauen an. Wunderbare Nacht bei +12 °C und 27 % Luftfeuchte. Bin total k.o.

[[<< Zurück zur Beobachtungsübersicht|Endlich wieder La Palma]] | [[Weiter zur nächsten Nacht >>|8. Dezember 2023 - Wassertank]]

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Das gute Wetter nimmt kein Ende. Der Beobachtungsplan ist durch. Neues muss her.
Am Haus waberten heute Wolken umher. Der Wind auf dem Roque hat abgenommen. Heute geht es wieder hoch.

!!Bedingungen

Oben angekommen ist es fast windstill. Nachts nimmt er dann zu und dreht von SSO auf SWS. Er ist dann bereits vor Mitternacht recht heftig.Die Büsche fangen an zu wackeln und meine Zeichnungen zu fliegen. Sehr angenehme Temperaturen mit minimal 7° Celsius. Aber: Mit dem Wind fühlt sich das ganz anders an. Und die Luftfeuchte steigt von 15% auf über 50% an. Am frühen Morgen verlassen mich sogar die Kräfte in meinen Fingern der rechten Hand und ich muss beim Klemmen der Zeichenblätter vorüber gehend auf links ausweichen.

Der Hammer ist aber wieder die Tranzparenz. Am Anfang der Nacht werden direkt 21.6 im Zenit erreicht. Dann gegen drei Uhr morgens ein gemittelter Spitzenwert von 21.84. Einzelwerte liegen z.T. noch darüber. 

Sowas habe ich bisher nur in Namibia gesehen. Und der Himmel sah dementsprechend aus. Die dunklen Areale, dass sind die wo kein Zodiakallicht und keine Milchstraße unterwegs sind, machen einen echten fast schwarzen Eindruck. Insbesondere die Orion Region, genauer die voranschreitende (Eridanus).
Nur logisch, dass ich die Teleskopbeobachtungen immer wieder nach einzelnen Objekten unterbreche und mit bloßem Auge ohne Ziel umherschweife.

!!Beobachtungen

Aber jetzt zu den Beobachtungen. Der Reihe nach.

Erstes Objekt ist die Gruppe um NGC 80. Hier hätte ich mir eine vorgezeichnete Sternkarte gewünscht, da ich natürlich NGC 80 in der Mitte platziere und am Ende NGC 79 am Blattrand landet. Mhhhmmm!

Bin wieder über zwei Stunden zugange. Habe mir nicht viel notiert, nur das hier.

[[NGC 80-Gruppe]]: Es zeigen sich etwa ein Dutzend Galaxien des NGC Katalogs. Hellste ist NGC 80.

Gegen 23 Uhr bin ich wieder beim Rosettennebel. Die Zeichnung wird finalisiert. Dann geht es zu Abell 5.

''Abell 5:'' Trotz intensiver Beobachtung bei 114 facher Vergrößerung und OIII nichts zu sehen. Leider stört an der Position ein schwacher Stern (Zentralsstern?). Dieser täuscht immer wieder einen Nebel vor, wie der Vergleich mit anderen gleich hellen Sternen zeigt.

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![[NGC 80-Gruppe]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 80-Gruppe}}

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Und da schaue ich mir diesen Abell, der hoch am Himmel steht, an und ein anderer steht bereits bedrohlich tief. 

[[Abell 83]]: Sehr kleiner, runder Nebel, der bei 114 fach und OIII sichtbar wird. Blitzt hin und wieder auf. Schwer! Wird von mehreren schwachen "Doppelsternen" eingerahmt. Kein Zentralstern zu sehen, auch ohne Filter nicht.

Versuche noch schnell eine Zeichnung zu beginnen. Klappt natürlich nicht. Verzettele mich. Und für meinen Dobson dann außer Reichweite, weil zu tief stehend.

Auf die Zeichnung des folgenden Nebels bin ich besonders stolz. Gestern nachmittag schnell die Sterne noch vorgezeichnet, zeigt sich NGC 1499 tatsächlich sehr detailreich. Dazu aktiviere ich einen Dinosaurier. Mein Pentax XL 40 Okular. Im Gegensatz zu meinen 100° Okularen ein Leichtgewicht, Wird leider aber von mir kaum mehr benutzt. Hier zeigt es aber zusammen mit dem H-Beta Filter, was es kann. Es liefert zwar mit einer AP von über 8mm "zuviel", aber das ist jetzt Wurst. 

[[NGC 1499]]: Der Nebel erscheint bei 40 fach zusammen mit einem H-Beta auf den ersten Blick fast ohne Strukturen. Dann fällt zunächst ein heller Balken an, der eine nördlich Begrenzung des Nebels darstellt auf. Schließlich zeigt sich mittig sogar eine Dunkelstelle und wenig entfernt ein heller Knoten.

Erst nach drei Uhr morgens bin ich durch. Der Wind pfeift. Es hält sich aber noch in Grenzen. Trotzdem sehr unangenehm. 

Spontan stelle ich den Eulennebel ein.

''M97 - Eulennebel:'' Kann bis auf 168 fach hochgezogen werden. Augen der Eule sind schon ohne Filter erahnbar. Mit UHC dann deutlicher. Sehr schöner Nebel. 

M97 habe ich nur kurz beobachtet. Weiter geht es zu Abell 29. Ist bereits kulmuniert, steht aber noch optimal.

[[Abell 29]]: Großer Nebel, der nur bei 65 fach und mit OIII sichtbar wird. Bei 114 fach nichts zu sehen. Es zeigt sich auch kein geschlossener runder Nebel, sondern zunächst nur ein leicht gebogener Balken in einem sternarmen Gebiet neben dem lt. Sky Safari angezeigtem Zentrum. Weiter nichts zu sehen. Mit der POSS-Karte, die Sky Safari auf Anforderung runterlädt, bestätigt die Beobachtung, zeigt aber einen weiteren Balken auf der andere Seite an. Schwieriger zu sehen, da sich sehr schwache Sterne hier befinden. Aber in der Tat, ist zu sehen. Insgesamt ist dieser Nebel einfacher als gedacht. Außer den beiden "Außenrändern" ist nichts zu sehen.

Mittlerweile sind im Norden hohe Wolkenfetzen aufgetaucht. Das SQM-L quittiert das mit einem "Einbruch" auf Werte um 21.73. Ich stelle nochmal Catalina ein.

''C/2013 US10 (Catalina:'' Steht mittlerweile recht hoch. Jetzt kann der Schweif - wie gestern - ca. 1° Grad verfolgt werden. Gegenschweif ist auch besser sichtbar. Großes helles Zentrum, aber nicht sternförmig, sonder diffus mit Helligkeitszunahme. Bereits mit bloßem Auge schwach aber direkt knapp sichtbar.

Habe ein Zeichenblatt mit dem Sternfeld vorbereitet. Aber passt nicht! Sternfeld sieht im Okular ganz anders aus. Sky Safari hat wohl Probleme mit der korrekten Position, was ich nachprüfe in dem ich NGC 5466 einstellt und die Positionen in Sky Safari vergleiche. Na toll! Leider habe ich jetzt keinen Bock mehr, eine Zeichnung "from Scratch" anzufertigen. Dazu fehlt auch die Zeit, denn es verbleibt "nur noch" ca. eine Stunde bis zur astronomischen Morgendämmerung.
Also wird Jupiter angefahren. Seeing ist wieder vom Besten. Lediglich der Wind lässt den knackscharfen Jupiter, wo der blasse rote Fleck vor seinem Durchgang steht, hin und her springen. Für ernsthafte Planetenbeobachtungen herrscht einfach zuviel Wind. Plötzlich bildet sich ein Hof um den Planeten, der auch schwächer wird. Blick nach oben. Zirre bedeckt den Zenit und Teile des Osthimmels fast vollständig. Ok. Das schreit nach vorläufigem Ende. 5:30 Uhr packe ich. Um 06:00 Uhr ist alles verstaut. Möchte aber nochmal zur Aussichtsplattform, um zu schauen, ob die Insel von Wolken bedeckt ist oder nicht. Ist sie nicht. D.H. die hohen SQM-L Werte haben vermutlich nichts mit der Wolkenbedeckung zu, obwohl der Himmelsabschnitt bei GTC deutlich dunkler heute war. Dort sind wie ich bei der Ankunft am Haus bemerke, nämlich doch Wolken aufgezogen. Aber beim Rest auf der Insel nicht.

[[Weiter zur nächsten Nacht >>|8. Januar 2016]]

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Lange Rhön. Klar. Etwas Wind, aber nicht schlimm. Erstes Objekt ist wieder Jupiter. Seeing ist Ok, aber nicht überragend. Wird die Nacht aber besser. Gegen Abend meldet die Wetterstation auf der Wasserkuppe 36 % relative Luftfeuchtigkeit. Sie steigt zwar über Nacht auf 56 % an, ist aber trotzdem ein Top Wert. Fernsicht im übrigen liegt bei über 70 km.

Es geht los mit NGC 4556. Kurz nach Anbruch der astronomischen Dämmerung klettert das SQM-L auf 21.56. Gegen drei Uhr morgens werden dann die 21.6 knapp überschritten.

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Darüber hinaus wird die Zeichnung von M106 nochmals überprüft. 

''NGC 4556:'' Balkenspirale mit diffusem Zentrum. Abgehende Spiralarme, die mit Knoten versetzt sind. Nordwestlich versprengter Nebelteil. Kann ohne Probleme bis auf 320 fach vergrößert  werden ([[Zeichnung|NGC 4556]]).

Jetzt kommt die Nachschau von [[M106]]. Ich kann in einem Spiralarm einige sternartigen Verdickungen erkennen. Darüber hinaus erscheint die Galaxie jetzt noch ausgedehnter.

Vermesse den Himmel. Zenit 21.61. Polaris 21.48. Im Süden praktisch die gleichen Werte.

Nun geht's mit [[M97|M97 - Eulennebel]] weiter. Kann bis auf 320 fach vergrößert werden. Im Zentrum schimmern schwach vier bis fünf Sterne.

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Aufgehender Mars im Sternbild Skorpion (links neben dem Baum). Die Sterne sind fast bis zum Horizont sichtbar.

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Das oben sichtbare Panorama zeigt die Sommermilchstraße gegen drei Uhr morgens. Blickrichtung ist Süden. Rechts ist Jupiter zu erkennen. Links davon die Zangen des Skorpions sowie weiter links die große Sagitarius-Sternenwolke. 

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/27120496497/in/datetaken-public/" title="Untitled"><img src="https://farm1.staticflickr.com/825/27120496497_31b8b98268_h.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Aufgang der Sommermilchstraße.</div>

Bin mit Mathias verabredet. Ist eine Ewigkeit her, als wir uns das [[letzte Mal|Zwei Nächte auf der Wasserkuppe]] getroffen hatten. Erstmal wird geschnattert. Zu Beginn der astronomischen Dämmerung, kommt dann ein Pärchen vorbei und wir zeigen M81 & M82, dann M51. Alles sehr interessant für die Leute. Dann fahren sie und lassen uns zurück. Die Nacht startet mit 11 °C und das SQM-L sekundiert 21.48. Später dann 21.56. Die Transparenz ist sehr gut. 

NGC 2964 - Gruppe: Nachschau. Das Seeing ist leider schlecht, schätze Klasse 3. Leider. Außer dem Zentrum ist nichts zu sehen. Mathias bemerkt, dass die Spiralstruktur aber gut zu erkennen sei. Trotzdem Enttäuschung. Ich fahre einen Tip von Mathias an. 

[[Arp 313]]: Schon bei 65 fach sind die Galaxien zu erkennen. NGC 3994 ist die hellste. Klein, oval mit hellem Zentrum, dass aber nicht sternförmig ist. Es folgt UGC 6933, die rund leicht oval ganz ähnlich ausschaut, aber schwächer ist. Nördlich ein dunklerer Strich in Form einer langgestreckten Galaxie NGC 3991 erkennbar, die beide zusammen ein Ausrufezeichen bilden. Unterhalb von 3994 taucht 3995 auf, die schwächste. Zeigt eine unregelmäßige Form mit einem nach Süden abgehenden, diffusen Schweif. Nach Nordosten ebenfalls aber diffuser und breiter. Mittig ist ein sternartiges Zentrum erkennbar und nördlich, leicht versetzt ein gut definierter Knoten, der aber schwächer als das Zentrum ist. Sehr schönes Objekt!

[[NGC 6058]]: Schon bei 65 fach in einer Sternkette als „verdächtiger Stern“ zu sehen. Bei 430 fach recht hell. Bei geduldiger Beobachtung zeigt sich zunächst ein runder Nebel um einen recht hellen ZS. Nach einer Weile zerfällt der Nebel in hellere Segmente, wobei sich im westlichen Teil im Anschluss an den ZS eine Dunkelstelle zeigt. Sieht ähnlich spektakulär wie eine bekannte Galaxie mit einem „schwarzen Auge“ aus. 😎 Unterhalb ist das Randstück des dazu gehörigen Segments wiederum deutlich heller. Schätze, dass dies der hellste Nebelteil ist. Gegenüber V-förmiges Bogensegment. Beide schließen sich im Osten in einem diffusen Nebelteil. Gegenüber berühren sie sich offenbar nicht, da hier ein Bogensegment fehlt. 

Ich versuche noch NGC 6210. Aber wieder eine Enttäuschung. Seeing ist besser geworden, aber einfach noch zu schlecht. 

Die Sommermilchstraße sieht Spitze aus. Wir staunen über den schönen Himmel. SQM-L zeigt 21.6 im Zenit an. Und das mehrfach hintereinander. Wir glotzen noch den Nordamerikanebel mit OIII und genießen den Himmel. Dann auch noch mal M57 eingestellt und wir können recht einfach den ZS bei 430 fach erkennen. Was mir immer wieder auffällt, ist die Tatsache und der Eindruck, dass viele Deep-Sky Objekte richtig hell sind. So auch M57. Das war mir schon bei M82 aufgefallen. Erinnere mich gerne zurück und muss sagen, dass sie mir früher, d.h. vor ein paar Jahren, nicht so hell erschienen.

Als der Mond aufgehen soll, machen wir noch kurz einen Spaziergang zu einem Ort, wo wir freie Horizontssicht haben und sehen dann einen roten Halbmond aufgehen. Wir packen zusammen und fahren zum Hotel. Erschöpft, aber sehr zufrieden falle ich in mein Bett.

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[[<<Zurück zur vorangegangenen Nacht|5. Mai 2018 - Stumpertenrod]] | [[Zurück zum Artikel>>|Zwei Nächte im Mai]]

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Nach Jahren bin ich endlich wieder in Stumpi. Beim letzten Mal kam ich bereits im Dunkeln an und bin von den anderen verjagt worden. Das ist aber schon ein paar Jahre her!

Seit vielen Jahren gibt es ja eine [[Webcam|http://www.sternenwelt-vogelsberg.de/IPCAM/webcam.php]] und die zeigt momentan an, dass sich hier zumindest dauerhaft niemand auffällt. Heute stört ja auch der Mond bis Mitternacht. Von daher bin ich davon ausgegangen, hier niemanden zu treffen.

Der Platz ist recht angenehm, denn es gibt auf der Wiese ausgewiesene Dobsonplätze. Zur Neumondzeit kann man hier wohl - quasi wie auf einem Campingplatz - auch Duschen und Toiletten benutzen. Ein schöner Platz im Sinne von landschaftlich schön ist es aber nicht. Trotzdem recht dunkel, fast so dunkel wie in der Rhön. Von Frankfurt aus sehr gut über die Autobahn erreichbar. In einer Stunde ist man locker da.

Wie bereits gesagt, geht der Mond erst gegen Mitternacht unter. Er stört zwar schon, aber das erste Viertel wird erst in ein paar Tagen bzw. Nächten erreicht. So kann man natürlich einige Dinge trotzdem beobachten.

Heute teste ich auch meinen neuen Komakorrektor. Ich habe mir das Modell von Explore Scientific bestellt, den ich bereits – ich glaube 2014 – hatte, aber wieder zurückgegeben hatte. Hintergrund war die Tatsache, dass mein 14 Zöller mit dem Hebel am Okularauszug einfach nicht zurecht kam. Bei f4.6 ist er aber auch nicht wirklich notwendig. Bei f3.8 hingegen schon.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/g18g45" title="Stumpertenrod"><img src="https://live.staticflickr.com/65535/51925912263_acd53834f3_k.jpg" alt="Stumpertenrod"></a> Ausnahmebedingungen! Im Zenit kann ich stellenweise 21.8 mit dem SQM-L messen. Links unterhalb des Löwen ist sogar der Gegenschein zu erkennen. Die Lichtbrücke auch. Man muss schon genau schauen, damit man sie erkennen kann. Visuell war das nicht möglich. Nach Osten und Südosten ist der Himmel nahzu streulichtfrei, was auf fehlende Lichtverschmutzung hindeutet. Das ist sehr erfreulich, aber auch in Deutschland sehr ungewöhnlich.

Erstes Objekt ist erst mal wieder M42. Dann geht es schließlich zum Mond. Der Komakorrektor funktioniert einwandfrei. 

Diese Nacht bin ich nicht allein und wiederum doch. Hier ist noch ein Sternfreund, der fotografiert. Aber bereits um 21 Uhr verschwindet er im Häuschen zum schlafen 🛌. Zuvor erzählte mir noch, wie er zusammen mit einem Freund hier Beobachtungshütten gebaut hat, die dann genutzt werden können. Er stammt aus Darmstadt, und muss morgen früh zurück. Morgen Nacht ist er nicht da, denn dann sei der Mond schon bereits zu störend.

Natürlich stört der Mond schon heute, aber das ginge noch. Parallel laufen Aufnahmen automatisch. Ich zeige ihm noch mal kurz den Mond und auch den Orionnebel. Dem Kollegen gefällt das Ganze ganz gut. Ich überlege, was ich in der Zwischenzeit beobachten könnte. Der Himmel ist heute sehr transparent, was man auch schon erkennen kann, obwohl der Mond noch nicht untergegangen ist. Wir haben heute Superbedingungen. Wenn es so bleibt, werde ich morgen auch noch mal rausfahren. Wahrscheinlich auch noch mal hierher. Das Seeing ist relativ gut. Morgen soll es sogar noch besser sein. 

Es ist feucht mit 79 % relativer Luftfeuchtigkeit. Tendenz steigend. Und kalt mit -3 °C. Später geht es dann Richtung -4 °C.

Der Mond stört tatsächlich bis Mitternacht. Wie vorhergesagt. Nun gut, ich beobachte ein wenig und fotografiere auch. Kurz vor Monduntergang stelle ich schließlich das erste Objekt ein und sehe mich schon mal so ein wenig ein.

![[NGC 3344]]

Schöne runde Galaxie, zumindest auf den ersten Blick. Auf den zweiten Blick zeigt sich schließlich eine recht große Galaxie, mit sternartigem Zentrum und einem ganz schwachen und diffusen Balken. Das Zentrum umgibt ein ringförmiger Spiralarm, von dem zum Teil weitere diffuse Arme abgehen. Diese sind recht schwer zu beobachten, am besten jedoch bei 148x. Bei 230x scheint die Vergrößerung etwas zu hoch zu sein, denn die diffusen Arme sind dann nur noch schwerer zu erkennen. Wenn man sich aber einsieht und der Himmel entsprechend dunkel ist, scheint dies dennoch die optimale Vergrößerung zu sein. In der Nähe der Galaxie ist ein helleres Sternpaar zu erkennen, sowie von dort aus eine schwache Sternenkette nach Norden abgehend. Insgesamt wirkt die Galaxie diffus.

Der Himmel ist heute spektakulär. 21.79 im Zenit! Letztes Jahr war das folgende Beobachtungsobjekt ein [[OdM im Astrotreff|https://www.astrotreff.de/forum/index.php?thread/259875-odm-april-2021-zum-jubiläum-ein-arp/]], was Mathias vorgestellt hatte. Vor circa einem Jahr hatte ich vor es zu beobachten, aber hab’s dann trotzdem nicht gemacht. Jetzt ist es aber dran, insbesondere weil Mathias vor einer Woche bereits gedrängelt hat. 😂

![[Arp 84 = NGC 5394 & 95 - Herongalaxie|NGC 5394 & 95 = Arp 84 - Herongalaxie]]

Sehr interessantes Galaxienpaar. Mit NGC 5394 zeigt sich zunächst eine lang gezogene Galaxie mit einem Gezeitenschweif. Dieser zeigt auf eine kleine Balkenspiralgalaxie, die 231x gut zu erkennen ist, insbesondere auch die zwei Spiralarme. Bei 378x hingegen ist die Beobachtung stellenweise schwierig, daher schätze ich, daß die optimale Vergrößerung bei 230x bzw. AP knapp über 2mm liegt. Jedoch, um die Strukturen in Gezeitenschweif und dem deformierten Spiralarm zu erkennen, sind 378x (AP = 1.4 mm) ganz hilfreich. In den Außenbereichen von NGC 5394 sind hellere Verdickungen sichtbar, eine auch knapp nördlich des Zentrums. Im Gezeitenschweif zeigt sich ein „Strömungsabriss“, der indirekt immer wieder indirekt aufblitzt. Ein wirklich schönes Paar interagierender Galaxien, wo man direkt sieht was los ist. Sehr schönes Beispiel! In unmittelbarer Nähe, ist die Hintergrundgalaxie IC 4356 leicht erkennbar. Sie hat, wie NGC 5394 und 93 ein sternartiges Zentrum. Es sind sogar PGC 2102129 sowie 3557871 als schwache linsenförmige Galaxien ohne erkennbare Strukturen zu sehen. Seeing 2-3. 21.7 im Zenit. 

Es ist kurz vor vier Uhr. Auf ernsthafte Beobachtungen und Zeichnungen habe ich irgendwie keinen Bock mehr. Aber jetzt einfach wieder zu den Schaustücken übergehen? Ja, es folgen die üblichen Verdächtigen: M13, M57. Dann habe ich doch ein neues Ziel. Palomar 5. Doch es ist zu spät. Wo ist das das Sternfeld nochmal? Finde es schließlich, zumindest glaube ich das, den Kugelsternhaufen aber nicht. In der Nähe steht M5, der kurzfristig als Ersatz herhalten muss. Mittlerweile ist es fünf Uhr und der Astrokollege ist auch aufgestanden. Es gibt eine kurze Verabschiedung und er ist darüber erstaunt, dass ich praktisch nicht geschlafen habe. 

Es war wirklich kalt, aber zum Glück gab es kaum Wind. Nur einen lauen Luftzug. Mit Wind wär das nicht durchzuhalten gewesen. Zum Teil hat sich allerdings grobes Eisgranulat gebildet, an diversen Dingen, die auf dem Boden lagen und natürlich auch an der Front- und Heckscheibe.

Die Dämmerung setzt ein und ich gucke noch schnell M51. In 30 Minuten ist alles abgebaut und verstaut. Geht ziemlich flott mittlerweile. Die Rückfahrt wird eine kleine Herausforderung, aber ich komme trotzdem sicher an.

[[<< Zurück|Frühjahrsauftakt in der Rhön]] | [[Weiter >>|9. März 2022 - Stumpertenrod]]

Ich bin pünktlich am Beobachtungsplatz, aber es ist komplett bewölkt und so soll es auch die nächsten Stunden erst mal bleiben. Bin mit Mathias verabredet, der gegen 21 Uhr eintrifft. Wir beschließen, abzuwarten und nicht aufzubauen und spazieren ein wenig in der Gegend herum. In der Nähe gibt es einen kleinen Wasserfall und den gehen wir auch mal besuchen. Nach einem kleinen Fußmarsch treffen wir ein und da wir noch nicht hier waren, bin ich zumindest überrascht, dass er recht unscheinbar ist; von Wasserfall ist kaum die Rede. Er entstand wohl nach einem schweren Unwetter über der Lange. Rhön im 19. Jahrhundert, wo Geröll und Steinmassen ins Tal bis in den Ort Hausen donnerten. In der Nähe gibt es auch ein paar Bänke und wir bleiben dort hängen und sitzen herum. Plötzlich klart es auf. Ich dränge darauf zurückzugehen, um aufbauen zu können. Kaum steht die Hälfte des Teleskops, zieht es wieder zu. Doch schließlich wird es wieder klar und wir können ein paar Highlights beobachten. Die Bedingungen sind ausgesprochen gut, was wohl daran liegt, dass große Teile der umliegenden Gegend noch unter Nebel liegen, so mutmaßlich auch das Rhein-Main-Gebiet. So können wir direkt gegen Mitternacht recht gute SQM- und L-Werte messen, die um 21.2 sowie 21.5 liegen.

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Den Kometen haben wir leider heute verpasst. Aber morgen gibt es eine weitere Chance, gegebenenfalls sogar übermorgen.

![[M 95]]

Dies ist tatsächlich das erste Objekt und es handelt sich um eine Nachschau einer Beobachtung, die ich im Dezember auf La Palma gemacht habe. Ziel ist es weitere, schwächere Sterne um und in der Galaxie herum zu erkennen. Bin wieder erstaunt, wie schwierig das Objekt tatsächlich ist, denn alles erscheint sehr diffus. Im Vergleich zum Nachbar M 96, ist die Galaxie deutlich schwächer.

Zeitgleich müht sich Mathias mit [[Arp 270|NGC 3395 & 3396 = Arp 270]] ab. Ich darf nach gelungener Zeichnung kurz reinschauen und muss sagen, da ist alles sofort und gut erkennbar. Ich mache hingegen weiter mit NGC 3521, einer weiteren Nachschau aus La Palma. Die Bedingungen sind mittlerweile sehr gut: ohne Linse messe ich 21.41 und mit Werte um 21.7!

! [[NGC 3521]]

Helle Galaxie, deren westlicher Teil dunkler ist. Östlich deutlich heller und diffus auslaufend. Beide Bereiche sind durch ein Dunkelband getrennt. Kern sehr hell sternförmig. Ansätze von Spiralarmen im östlichen Bereich gut erkennbar.

Bei Mathias gibt es NGC 5624. Zu sehen sind neben zwei schwächeren Galaxien eine hellere mit einem Spiralarm und darin enthaltenen Knoten. Sehr schön. Mittlerweile ist es 2:30 Uhr und der Himmel bleibt richtig gut.

! [[Jacoby 1]]

HD 137000 weist den Weg. Direkt daneben steht der sehr große Planetarischer Nebel, der extrem lichtschwach ist. Ich kann jedoch einen halbkreisförmigen Nebel bei etwa 85x mit [OIII] erkennen. Steigere sogar die Vergrößerung etwas auf 100x, aber er ist auch schon bei Übersichtsvergrößerung gut sichtbar. 

Kurz nach drei ist Schluss. Schnell wird alles von einem Eispanzer überzogen und wir sind eigentlich auch glücklich, dass wir diese Nacht genutzt haben. In wenigen Stunden werden wir wieder hier sein und haben genug von einer Nacht, die auf „Messers Schneide“ stand. Dennoch bleibt festzuhalten, dass der Himmel sehr dunkel war, allerdings stellen wir im Vergleich zur folgenden Nacht fest, dass dies offenbar noch an durchziehenden Hochnebel gelegen haben muss. Visuell sind die Dinge halt einfach doch immer wieder schwierig einzuschätzen und Unterschiede nicht so einfach erkennbar. Das ist auch immer wieder eine Erkenntnis, die beim Beobachten auch immer wieder hilft die Dinge richtig einzuschätzen.

[[<< Zurück zur Beobachtungsübersicht |Endlich wieder Frühling!]] | [[Weiter zur nächsten Nacht >>|8. März 2024 - Lange Rhön]]

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Erstmal wieder oberhalb der Weinberge an der Einfahrt zur Feuerschneise probiert (Trocha del Reventon). Zu windig. Runter zum Platz in den Weinbergen. Da auch. Weiter runter. Neh, geht nicht, Wolken zu nah. Wieder rauf zum Weinberg. Dann ein Auto. Will tatsächlich hier rauf. Hält am Nachbarhaus. Neh, oder? Egal. War ja klar, da Wochenende ist und die Häuschen sowas wie "Wochenendhäuschen" sind. Also Aufbauen. Der Wind lässt nach. Ab Mitternacht soll es dann deutlich besser werden.

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Erstes Objekt ist die "Seemöve" NGC 2177. Riesiges Objekt und genau das richtige für schlechtes Seeing. Ist nämlich immer noch grauenvoll. Das Objekt passt gar nicht in ein irgendwie geartetes Gesichtsfeld des langbrennweitigen Okulars und wird daher "abgefahren". Und gezeichnet. Probiere der Reihe nach die Filter UHC, OIII und Hß durch. Hß ist am Besten geeignet, da er am kontrastreichsten ist. Dann kommt OIII und schließlich UHC.

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![[NGC 4565]]

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{{NGC 4565}}

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![[NGC 4244]]

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{{NGC 4244}}

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![[IC 2177 - Mövennebel]]

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{{IC 2177 - Mövennebel}}

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Also den Hß rein. Der Nebel wird sofort sichtbar und ist hell. Am südlichen ist ein offener Sternhaufen zu finden. Von dort verläuft er geschwungen nach Norden, um dann einen Bogen nach Osten zu machen und erneut  schwungvoll gen Nordwesten abzubiegen. Am nördlichen Ende steht ein recht heller Stern, der von einem hellem Nebelfetzen umgeben ist, und den Nebel an dieser Stelle "abschließt". Östlich im unteren Bereich findet sich ebenfalls ein solcher Stern, der von markanten und z.T. strukturiertem Nebel umgeben ist.

Das ist im wesentlichen IC 2177 :) Als die Zeichnung fertig ist, steht der Nebel schon gefährlich tief. Als nächstes steht das Trio um NGC 4216 auf dem Plan. 

Das Gespräch am Nachbarhaus kriege ich teilweise mit. Das Haus ist zum Glück nicht beleuchtet. Aber aus einem Fenster scheint störendes Licht nach draußen. Egal durchhalten und nicht stören lassen. Bei NGC 4565 fehlen ja nur noch die schwachen Galaxien in der Zeichnung. Es macht Spaß diese alles zu erkennen. Es handelt sich dabei um schwache IC's.

Dann nun 4216. Habe ich nach der [[Vorstellung beim Astrotreff.de|http://www.astrotreff.de/topic.asp?TOPIC_ID=194655]] spontan in meine Beobachtungsliste aufgenommen. Vorher schaue ich mir noch mal M51 an. Ohhh ja! Dann fällt mir beim Aufsuchen NGC 4725 "vor die Füße". Sehr interessant!

Um 01:00 Uhr ist bei den Nachbarn Ruhe. Licht ist auch aus. Das wird vielleicht eine Super Nacht bis zum Morgengrauen. Der Himmel hat mit dem SQM-L jetzt auch 21.70 im Mittel erreicht.

''NGC 4725:'' Helle Balkenspirale. Bei 168 fach zeigt sich ein helles sternartiges Zentrum. Balken auffällig an dessen Enden ovale, etwa gebogene Spiralarme sitzen. Sieht aus wie ein Propeller. Der nordöstliche Spiralarm ist bei geduldiger Beobachtung deutlich heller und ausgedehnter. Nordöstlich weitere diffuse, spindelförmige Galaxie NGC 4712 zu sehen. Nun aber ist NGC 4216 gefunden. Der Wind bläst ab und an noch mal mit einer Böe, als ob er es für erwähnenswert hielte, das er noch da ist. Sonst ist es die ganze Nacht aber absolut windstill.

''NGC 4216:'' Lang gestreckte Nadel mit recht hellem Zentrum. Bulge gut zu erkennen, aber zur einen Seite hin stärker ausgeprägt. Zur anderen Seite hin wirkt die Galaxie wie abgeschnitten. Auf dieser Seite befindet sich nahe dem Zentrum auch ein schwacher Stern. Das Staubband als solches ist aber nicht zu erkennen. Auch nicht bei 168 fach. 

Leider erlaubt das Seeing keine höheren Vergrößerungen. Es ist aber zumindest viel besser geworden. Am Ende der Nacht kann man schon von recht ordentlichem Seeing sprechen. Nix für Planetenbeobachtungen, aber sonst Ok.

Überlege kurz, ob ich jetzt eine "Sommerhighlightstour" hinlegen soll oder einfach "weiter machen". Letzteres! NGC 4244. Die muss man glaube ich nicht beschreiben :) Nachdem NGC 4244 nun gezeichnet ist, ist die Nacht auch schon um 06:30 Uhr rum. Schnell noch ein paar Highlights des Sommerhimmels angefahren, wie B142, 143, M20, M8, M 16 & M17, Pfeifennebel und einiges mehr.

Die Dämmerung bricht über mich herein und ich baue ab.

[[Weiter zur nächsten Nacht >>|9. April 2016 - Trocha del Reventon]]

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Wieder fast windstill. Transparenz besser als gestern, aber nicht perfekt. Klar, aber leicht dunstig. Leichter Wind aus Südwest. Seeing ist Super, wie ich am ersten Objekt, dem Jupiter, selbst sehen kann.

[[Longmore 6]]: Sehr schwacher, runder Nebel. Kann nur mit Filter gesehen werden. Mit OIII und UHC. UHC leicht im Vorteil. Kann gerade indirekt nicht gehalten werden. Aber häufig und zuverlässig aufblitzend. 

21.75 misst das SQM-L im Zenit. Gute Bedingungen. Bin mal wieder am Nordhimmel unterwegs. Ziel ist NGC 6210. Bin auf der Suche nach dem ZS und kann ihn nicht erkennen, obwohl er die ganze Zeit da ist. Er ist nur sehr schwach zu erkennen und wird vom hellen Nebel total überstrahlt.Beeindruckend sind auch die abgehenden Arme, die recht auffällig sind. Aber insgesamt gilt auch hier: Die Einzelheiten im hellen Nebelgebiet sind schwierig zu erkennen.

[[UGC 10288]] Superthin Galaxie. Bei 100 fach kaum zu sehen, wenn man nicht weiß, wo die Galaxie steht. Bei 278 zeigt sich eine dünne, gerade und glang gezogene Galaxie. Kann trotz 25 Zoll indirekt gerade so gehalten werden. Helleres, länger gezogenes Zentrum erkennbar. Sonst keine Details. Mitbeobachter sieht gar nichts.

[[Palomar 15]]: Trotz 25 Zoll Öffnung zeigt sich zunächst nichts. Bei AP von 6.25 mm ist der KS nicht zu erkennen. Absolut nichts. An der falschen Position hin und wieder ist ein Glimmen zu erkennen. Bei Steigerung der Vergrößerung auf 278 fach zeigt sich, dass das Glimmen von schwachen Einzelsternen herrührt. An der richtigen Position, nördlich einer dieser verdächtigen Einzelsterne zeigt sich schließlich hin und wieder indirekt ein Glimmen und sogar einzelne Sternchen treten für kurze Momente immer wieder hervor. Nach Abgleich mit dem POSS scheinen diese Einzelsterne aber viel zu schwach zu sein. Wie dem auch sei, dass Ganze ist sehr, sehr schwer. Seeing 1.

Nachschau zum [[Halo um M57|M57 - Halo]]: Bei 278 und UHC-Filter werden in südlicher Richtung außerhalb des Rings ein helleres, paralleles, diffuses Segement sichtbar, dass bis zum Ende des helleren äußeren Rings (oben, d.h. nördlich reicht). Beim nächsten Objekt habe ich für das Aufsuchen fast eine Ewigkeit gebraucht.

[[NGC 6803]]: Sternförmig bei 100 fach. Erst bei 670 fach wird ein runder, leicht ovaler Nebel sichtbar. Bei Steigerung auf 1300 fach wird er zum gefüllten Ring, der westlich und östlich gut definiert erscheint. Westlich blitzen ein bis zwei Knoten auf. Auf dem östlichen Rand auch, dort aber etwas schwächer. Seeing 1.

[[Whiting 1]]: Bei 278 fach wird nördlich eines schwachen Sterns ein diffuser Glow sichtbar. Im Glow wird ein gleichhelles Sternpaar hin und wieder sichtbar, sowie nördlich davon blitzt ein weiterer schwächerer Stern selten auf. Ob dies Vordergrundsterne oder helle Einzelsterne des KS sind, bleibt erstmal unklar. Östlich des Feldsterns ist weiterer schwacher Stern erkennbar. Er ist von den vier Sternen der hellste und kann indirekt knapp über 1-2 sec gehalten werden.

Das SQM-L erreicht heute Spitzenwerte um 22.0. Mal drüber mal drunter. Habe ich noch nie gemessen und glaube es nicht. Doch ist korrekterweise die deutlich Milchstraße heller. Stimmt also vermutlich. 
Mit dem Kollegen wird gefachsimpelt. Da geht der Orion auf. Nein, kann nicht sein. Ist aber so. Der Mond kommt auch gleich hoch. Ich gehe auf M42. Wahnsinn! Farben. Rostbraune Schwingen. Während der Dämmerung schaue ich mir noch schnell 47 Tuc und NGC 362 an. Dann verstauen wir alles und gehen ins Bett. Ich muss noch mal zurück, da der Akku auf dem Beobachtungstisch liegt. Ich werde mit einer wunderschönen Dämmerung belohnt.

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[[<<Zurück zur vorangegangenen Nacht|7. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|9. August 2018 - Tivoli Astrofarm]]

Ich schleiche die Feuerpiste entlang wieder hoch zum Wassertank. Bin etwas früher unterwegs, denn ich will noch ein paar Fotos machen. Der Blick hier oben ist übrigens immer wieder toll und eigentlich sollte man bestimmt eine Stunde vor Sonnenuntergang ankommen und sich einfach nur hier hinsetzen und in die Landschaft gucken.

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Immer wieder schön der Blick vom ersten Wassertank runter über die Weinberge von Puntagorda. Magisch!

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Und auch der Sonnenuntergang ganz oben kurz vorm zweiten Wassertank. Rechts erkennt man auch, dass das letzte Feuer 🔥 bis hier oben gewütet hat.

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Und der Blick zurück runter auf die Piste.

Bedingungen ähnlich gut wie gestern. Bin wieder am Wassertank. Die Bäume rauschen stark, aber der Platz ist fast windstill. Ab und zu verirrt sich mal eine Böe hierher. Seeing ist wieder kacke.

!Io Transit inklusive Schattendurchgang

Leider ist das Seeing richtig Mist. Trotzdem lässt sich der Schatten sehr gut auf Jupiter erkennen. Darüber hinaus auch der GRF. Der schnell zum Rand unterwegs ist. Schade, dass sich so wenig Details erkennen lassen. Das wäre heute echt ein Highlight gewesen! Dafür ist aber vermutlich der Wind aus Südost zu stark.

Erstes Deep Sky Objekt sind die Plejaden. Zweites ist dann die Galaxie IC 1261: Bei Übersichtsvergrößerung kaum im Sternfeld auszumachen. Daher per Starhopping dann aufgesucht. Es zeigt sich eine linsenförmige Galaxie mit Helligkeitzunahme zum Zentrum hin. Keine weiteren Strukturen zu erkennen. Direkt neben dem Zentrum scheint ein Vordergrundstern, der recht schwach ist, zu stehen. Kann noch nicht mal richtig die Objekte eintippen, denn eigentlich sollte es zu IC 1291 gehen. Na dann jetzt eben. 21.37 mit dem SQM. Mega Transparenz heute.

![[IC 1291]]

Hier geht es tatsächlich nur um eine kleine Nachschau, denn im Sternfeld liegen auch schwache Hintergrundgalaxien. Wunderschönes Objekt. Tatsächlich kann ich eine Hintergrundgalaxie ausmachen. Es handelt sich dabei um PGC 214690. Sie ist tatsächlich sehr schwer und nur blickweise immer wieder zu sehen. Das liegt vermutlich auch daran, dass das Objekt mittlerweile ziemlich tief steht.

![[NGC 253 - Sculptor-Galaxie]]

Wunderbar! Mega viele Strukturen und die Galaxie steht optimal im Süden und ich bin erstaunt wie hoch sie tatsächlich steht. Unweit steht auch NGC 288 und auch dieser ist ein Hochgenuss, wobei der Kugelsternhaufen bereits schon bei mittlerer Vergrößerung eher wie ein offener Sternhaufen wirkt. Obwohl ich das weiß, ist auch das immer wieder überraschend.

![[Sculptor-Zwerggalaxie]]

Auch noch mal eine kleine Nachschau zu gestern. Heute steht sie noch deutlich höher und die Transparenz ist auch noch mal besser. Und ich muss sagen, sie kann sogar etwas höher vergrößert werden, ohne dass die Erkennbarkeit nachlässt. Aber trotzdem lässt sich nicht mehr erkennen, und sie bleibt weiterhin eine kleine Herausforderung.

![[NGC 1097]]

Heute einfacher zu sehen, denn auch sie steht beim Meridiandurchgang noch etwas höher als gestern. Habe heute anders geparkt, so dass ich im Süden freie Sicht habe. Aber ich kann tatsächlich keine neuen Details erkennen. Trotzdem wirklich schöne Galaxie, für die man sich aber Zeit lassen muss.

SQM steigt auf 21.44. Fast wie in der Rhön. Schon seltsam. Habe gestern aber auch eine Fisheye-Aufnahme gemacht und man muss sagen, dass der Himmelshintergrund tatsächlich neutral ist. In der Rhön ist er grasgrün auf dem spanischen Festland etwas weniger, aber auch deutlich. Der Wind hat nachgelassen und die Bäume rauschen nur noch sanft vor sich hin.  Das Seeing ist deutlich besser geworden, was auch plausibel ist. Morgen werde ich ziemlich sicher nicht hochfahren, sondern unten beobachten. Mal schauen.

Orion kriecht über den östlichen Bergkamm. Schnell stelle ich den Orionnebel ein und dann den Flammennebel. Wunderbar die beiden und wie schön anzuschauen!

Die Nacht ist auf jeden Fall besser als gestern, denn ich habe auf meinen Fotoaufnahmen gesehen, dass hohe Wolken durchgezogen sind (es war tatsächlich Airglow).

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![[Fornax-Galaxienhaufen]]

Wunderbarer Galaxienhaufen! Bei Übersichtsvergrößerung werden fast ein Dutzend helle Galaxien sichtbar. Viele von ihnen haben sternförmige Zentren und eine extrem große Helligkeitzunahme zum Zentrum hin. Eine Galaxie zeigt dabei einen langgezogenen Galaxienkörper. Streift man weiter umher, so entdeckt man viele weitere schwache Galaxien, die aber nicht oder kaum bei Übersichtsvergrößerung zu erkennen sind. Hier muss man tatsächlich mit höherer Vergrößerung vorgehen. Wirklich sehr schöner Galaxienhaufen!

![[IC 1613]]

Bin eigentlich auf der „Durchreise“, aber dann bleibe ich an IC 1613 hängen. Kann mich gut noch an die Beobachtung vor fast jetzt acht Jahren erinnern. Im 20 Zöller ist bereits bei Übersichtsvergrößerung die unscheinbare Galaxie gut zu erkennen, wenn man weiß, wo sie steht. Sie kann bis auf 138x hoch vergrößert werden und dies ist auch sehr hilfreich, da der Kontrast zum Himmelshintergrund zunimmt. Ich entscheide mich allerdings für 100x denn dann ist das umliegende Sternfeld ebenfalls gut zu erkennen. Im Kern sind größere diffuse Flächen zu erkennen, eine davon heller und langgezogener, wobei auf der einen Seite ein ovales, helleres Zentrum zu erkennen ist. Westlich davon ein weiterer diffuser Bereich. Sie sind durch diffusen Nebel scheinbar irgendwie verbunden.

![[UGC 711]]

Oh Gott, extrem lichtschwach! Bei Übersichtsvergrößerung und trotz 20 Zoll Öffnung zeigt sich überhaupt nichts. Erst wenn die Vergrößerung gesteigert wird und der Kontrast zunimmt, kann die dünne Nadel erkannt werden. Bin ehrlich gesagt ein wenig enttäuscht, wie lichtschwach die Galaxie ist. Bei 138x am besten zu erkennen, wenngleich sie unter diesen Himmel hier auch recht stark vergrößert werden kann. Die Galaxie zeigt keine Details, aber ein helleres langgezogenes Zentrum. Auf einer Seite extrem schwacher Stern hin und wieder zu erkennen. Die Galaxie kann indirekt knapp gehalten werden, aber nicht durchgängig.

Der Wind hat wieder zugelegt. Hier rauscht alles. Aber wenn er stramm aus Südost weht, ist es am Platz trotzdem fast windstill.

![[NGC 891]]

Die nächste Edge-On ist auch ein Superthin, im Vergleich aber zu UGC 711 ein Scheinwerfer! Es handelt sich um die berühmte NGC 891. Sie ist schnell aufgefunden und am schönsten bei 191x. Sie kann aber bis auf 351x vergrößert werden. Es zeigt sich ein hellerer Bulge, der vom mittig durchgehenden Staubband geteilt wird. Das Staubband ist bei höherer Vergrößerung auch bis an die Enden hin ohne Probleme gut zu verfolgen. Hier wird der Galaxienkörper schwächer und es scheint zunächst, als würde er an den Enden wieder heller werden. Dies ist aber offenbar eine optische Täuschung. Vermutlich hervorgerufen durch den helleren Zentralbereich. Einfach unfassbar schön diese Galaxie! Auch die winzige Hintergrundgalaxie kann sicher erkannt werden, wenngleich überraschend schwierig.

! Orionnebel 

Ich stelle ihn zum zweiten Mal ein. Und ich bleibe fassungslos zurück. Das Innere graublau und die Schwingen rostbraun. Hervorragend! Die Strukturen im Nebel erscheinen messerscharf und sehr kontrastreich. Habe allerdings nur Übersichtsvergrößerung mit fast 7mm AP im Einsatz.

![[IC 466]]

Zum Schluss gibt es noch mal einen schönen Reflektionsnebel. Den hatte ich bereits vor zu beobachten. Ich glaube es war 2018 auf dem Programm es aber dann bei der damaligen La Palma Exkursion nicht mehr geschafft. Nun gut jetzt sind mittlerweile fünf Jahre vergangen und es ist Zeit, das Ding mal anzuschauen.

Bei Übersichtsvergrößerung bereits als runder Nebelball um einen zu schwachen Stern, als dass dieser diesen als Halo hervorrufen könnte. Kann überraschenderweise recht hoch auf 351x vergrößert werden, ohne dass der Nebel absäuft. Dann zeigt sich schließlich ein halbrunder Nebel mit einem hellen Segment, direkt am Stern und einem umlaufenden, weiter außen sowie einer Fahne. Überraschend komplex. Versuche diverse Filter, bleibe aber bei der filterlosen Beobachtung, da das Objekt dann am hellsten und besten beobachtbar ist.

So das war das letzte Objekt heute. Zumindest das, was das Zeichnen angeht. Ich schaue mir noch ein paar Sachen an, aber in einer Stunde geht schon der Mond auf. Morgen soll es noch mal klar werden. Dann fällt eine Nacht ins Wasser wegen hohen Wolken. Am Ende mache ich doch ein wenig weiter und schau mir noch mal M 77 an. Das ist keine große Sache, denn es ist mal wieder eine Nachschau. Eigentlich habe ich die Galaxie schon vor ein paar Monaten von der Rhön ausgemacht, dann aber hat mich beim Zeichnen die Courage gepackt und es sind noch einige Fragen aufgekommen und da habe ich das ganze noch mal weggelegt.

![[M 95]]

Dies ist tatsächlich das letzte Objekt. Fange auch noch eine Zeichnung an, bin aber nicht so recht zufrieden. Die Strukturen sind diffuser als ich das gerne hätte. Schwierig Details zu erkennen. Dennoch zeigt sich ein diffuses helles Zentrum ohne starke Konzentration zur Mitte hin. Abgehend sind kurze Balken zu erkennen, an denen sich ein ovaler, aber komplett umlaufender Spiralarm anschließt, der die Galaxie komplett umfasst. Mittlerweile ist es 4:00 Uhr und der Löwe steht schon sehr hoch. Zeit zum zusammenpacken. Gleich geht auch der Mond auf.

[[<< Zurück zur letzten Nacht|7. Dezember 2023 - Wassertank]] | [[ Weiter zur nächsten Nacht >>|9. Dezember 2023 - Athos Star Campus]]

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Schlafe bis nach Mittag. Draußen ist es stürmisch. Regen setzt ein. Auf dem Roque ist aber alles frei. Wind nimmt dort auch zu. Er liegt um 40 km/h. Am Haus zu beobachten ist keine Option, da sich das Wetter nicht ändern soll. Kenne aber oben einen Platz, der eigentlich windgeschützt sein sollte, wenn der Wind nicht dreht. Lt. Vorhersage soll er das nämlich nicht. Erst morgen.

Auf dem Roque ist es klar. Suche meinen windgeschützten Platz auf. Oje, was für ein Wind. So kann man sich irren. Zurück am Alten, ist es deutlich besser. Es ist kalt mit 6°C und hoher Luftfeuchte um 60%. Eine nahe Wolkenbank zeigt sich Richtung Nordwesten und kommt näher. Über den Roque ziehen plötzlich längliche Streifenwolken. Und es zieht zu. Sattelitenbild zeigt Ausläufer eines Tiefs. Ok, das war's für heute. Warte noch die astronomische Dämmerung ab, um eine SQM-L Messung zu machen. 21.76 um 20:10 Uhr UT. Bin überrascht, denn an der Aussichtsplattform habe ich gesehen, dass die gesamte Insel unter Wolken lag. Sterne scheinen auch keine durch die Wolken. Messung ist auch korrekt, da der Himmel heller ist als gestern der Sternenhimmel. Dabei soll doch der bedeckte Neumondhimmel am dunkelsten sein mit 21.9. Komisch.


[[Weiter zur nächsten Nacht >>|9. Januar 2016 - Roque de los Muchachos]]

Erste Beobachtungsnacht im neuen Jahr. Bin wieder am alten Beobachtungsplatz, mal sehen, ob ich verscheucht werde. Allerdings bin ich um 21 Uhr da, da ist es schon zwei Stunden dunkel. D.h. die Chance, dass jetzt noch jemand vorbeikommt, ist tatsächlich gering. Mathias hat sich angekündigt, jedoch macht ihm glaube ich der Wind ein wenig intellektuell zu schaffen. Und tatsächlich die Vorhersage - ist was dieses Thema anbetrifft - ziemlich durchwachsen. Mit Wind um 50 km/h, sagt Meteoblue vorher mit Böen bis über 70. Andere hingegen stapeln etwas tiefer und sagen Böen um 50 km/h vorher und einen Mittelwind von 25, was vermutlich noch auszuhalten wäre. 

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Man könnte sogar vermutlich gut auf der Wasserkuppe beobachten, wobei es bei Ostwind kaum Verstecke gibt. Der Skilift oben ist zum Glück nämlich nicht in Betrieb, denn die hohen Temperaturen den Winter über haben eine Beschneiung quasi unwirtschaftlich werden lassen und das ist auch gut so. Damit fällt, obwohl wir nicht dort beobachten, eine Lichtverschmutzungsglocke Richtung Westen weg. 

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21 Uhr. Ich bin am Platz zusammen mit Mathias. Wir begrüßen uns erst mal und begutachten den Himmel. Nicht so berauschend! Dann bauen wir auf und während wir dabei sind, sehen wir ein helles Licht auf uns zukommen. Fast so hell wie ein Auto! Es ist allerdings ein Fahrrad, und der etwas ältere Herr hält an und quatscht uns fast tot. Sternführer sei er, und was weiß ich. Ich werde schon langsam nervös. Mathias kanzelt ihn kurz ab. Er steigt auf sein Fahrrad und fährt (zum Glück) weiter. Irgendwie habe ich zu diesem Zeitpunkt schon ein komisches Gefühl. Als ob dies nur der Auftakt zu was größerem ist, also zu größeren Schwierigkeiten!

Während Mathias schon sein erstes Objekt zeichnet, gammle ich noch ein wenig herum. Stelle als erstes M 42 ein. Boah! Wie dunkel! Ich habe noch die Bilder vom 20 Zöller in La Palma im Kopf. Wahrscheinlich ein Fehler. Mir scheint M 42, total dunkel zu sein. Mathias zieht mich auf, indem er es ebenfalls einstellt und meint, der sei ja bei ihm viel heller als bei mir. Ich schaue durch, stimmt natürlich nicht. Egal, irgendwie ist es eine zerfahrene Nacht, aber so sind ja viele erste Beobachtungsnächte.

!Zuerst der Jäger anschließend die Polizei

Gegen 22 Uhr sehen wir auf einmal einen Wagen ganz langsam die Stichstraße entlang kommen. Ich hoffe es ist nicht der Jäger. Er ist es! Steigt aus, spricht uns an, aber wir sagen nichts. Er erkennt uns sofort. Wir sind ja Wiederholungstäter. Dann fotografiert er unsere Nummernschilder, unser Gerät, wobei Mathias noch am Teleskop sitzt und beobachtet. Dann steigt er wieder ein und fährt weg. Während wir uns den Kopf zerbrechen, wie hoch die Strafe ausfallen wird und diese Nacht irgendwie überhaupt nichts mehr wird, denn auch das Seeing ist total Kacke, nähert sich ein weiterer Wagen unserem Beobachtungsplatz und diesmal ist es die Polizei. Sehr nett erläutert sie uns, dass wir hier nicht stehen dürfen. Auf der hessischen Seite sei es wohl erlaubt - wie sie meinen - aber sie wissen jetzt auch nicht genau, wo die Grenze sei. Von daher gäbe es hier nur eine Verwarnung. Eine Rücksprache mit dem Chef sei erforderlich, aber auch dieser hat nichts dagegen. Wir versprechen abzubauen und das tun wir dann auch. Ende einer megaverkorksten Nacht.

[[<< Zurück zur Beobachtungsübersicht|Windiger & kalter Jahresauftakt in der Rhön]] | [[Weiter zur nächsten Nacht >>|9. Januar 2024 - Lange Rhön]]

Ich treffe bereits während der Dämmung am Beobachtungplatz ein. Bedingungen sind wirklich sehr gut, obwohl tagsüber immer wieder Nebelschwaden über die Rhön gezogen sind. Auch Mathias trifft wenig später ein. Wir möchten heute einen aktuell sichtbaren Kometen im Teleskop beobachten. Wir sind beide wieder mit 21 Zoll angereist.

Die Dämmerung ist noch im Gange. Da haben wir bereits aufgebaut. Gegen 19:30 Uhr sind wir bereit. Wir warten allerdings noch, bis es dunkler wird und dann stelle ich als erstes den Kometen ein.

! [[12P/Pons-Brooks]]

Bei Übersichtsvergrößerung zeigt sich ein sternförmiges Zentrum und eine helle, diffuse Koma, die in „Flugrichtung“ gestaucht ist. Recht heller, kurzer Schweif, der aber beim Schwenken des Teleskop diffus ausläuft und deutlich länger ist als zunächst gedacht. Ich steigere die Vergrößerung noch einmal leicht auf 100x und dann zeigen sich ab dem Kernbereich drei hellere Streifen innerhalb des Schweifansatzes, wobei der mittige deutlich heller ist. Schönes Objekt im großen Gerät, aber mit Blick auf die letzten Jahre eigentlich nichts besonderes, denn sowas gab es auch schon häufiger.

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Mathias hat heute woanders aufgebaut. Er hofft auf etwas Windschutz, aber leider ist trotz des Erdwalls der Wind unser ständiger Begleiter. Auf dem Foto ist rechts Jupiter zu erkennen und auch ganz schwach das Zodiakallicht. Obwohl windig, ist das Seeing ganz ok.

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Anschließend mache ich ein paar Fotos, insbesondere vom Orion und dem großen Hund. Dies ist die letzte Gelegenheit, die Wintersternbilder noch mal zu beobachten.

!IC 423

An der richtigen Stelle wird an einem hellen Stern ein diffuser Nebel sichtbar. Das Objekt steht mittlerweile aber schon sehr tief, so dass ich hier abbreche.

Es werden Highlights angesteuert wie M 42 und M46 und 47. Dann geht es zum Galaxienhimmel und hier noch mal wie gestern M 95. Heute ist die Galaxie eindeutig heller, was darauf deutet, dass der Himmel gestern nicht vollständig klar war. Wie auch immer, die Einzelsterne in der Galaxie sind noch mal gut zu erkennen aber auch nur, wenn es keinen Wind gibt, der es es uns heute leider - wie vorhergesagt - etwas schwer macht. Allerdings muss man sagen, dass die Luftfeuchtigkeit niedrig bleibt, zumindest so, dass die meisten Flächen nicht beschlagen. Das soll sich später - wie häufig in Nächten in der Rhön - ändern. Temperaturen sind auch okay, d.h. um den Gefrierpunkt.

Dann steuere ich noch mal die Galaxien M 108 und NGC 3521 an. Bei M 108 handelt es sich um eine Nachschau. Dabei fällt mir sofort auf, dass die Ausläufer der Galaxie in meiner bereits erstellten Zeichnung zu hell ausfallen.

Der Himmel ist heute ähnlich dunkel wie gestern, wobei er am Anfang mit SQM-L Werten um 21.4 startet. Später steigen die Werte dann mit Linse auf 21.6 und ohne 21.4. Sehr gute Bedingungen, wie man sie häufig im Frühjahr hier hat.

! „Heileitz“

Los geht es mit M 51. Dann der „Sombrero“. Wir beide laufen hin und her und beobachten im Vergleich im „High-End“ 21 Zöller und in „meinem“. 😉 Natürlich sieht alles im High-End Gerät deutlich besser aus. 🤣 

!Helle Feuerkugel

Während Mathias M 104 an meinem „Dicken“ beobachtet, geht fast ausgehend vom Zenit eine Feuerkugel über dem Südhorizont nieder. Grün, sehr hell, so dass die Umgebung kurz imposant erleuchtet wird und mit Gasschweif, der einige Sekunden gut zu erkennen ist und trotz des Windes, recht ortsfest bleibt.

Gegen Mitternacht verirrt sich ein Wagen hierher. Lugt kurz auf dem Parkplatz und wendet dann schließlich, um wieder zurückzufahren. Ein Jäger? Wir wissen es nicht. Aber dieser Platz hier ist absolut legal, also bleiben wir entspannt.

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Mittlerweile steht die Sommermilchstraße bereits kurz vor dem Aufgang. Die Leier ist bereits aufgegangen (Bildmitte unten).

Dann surfen wir Richtung Leo-Triplet. NGC 3628 hat es uns angetan. Ich glaube den Gezeitenschweif zu erkennen. Mmmhmmm…

![[Jacoby 1]]

Und heute noch mal. Im Gegensatz zu gestern ist die Transparenz deutlich besser und ich versuche auch einen Hβ-Filter. Hier zeigt sich tatsächlich nichts. Mit [OIII] hingegen sehe ich aber immer wieder indirekt einen zarten Bogen, der vielleicht einen Viertelkreis darstellt. Direkt am Stern nach Süden abgehend zeigt sich das hellste Segment. Nach Norden hingegen, deutlich schwächer und diffuser, aber auch etwas breiter. Insgesamt sehr schwierige Beobachtung und auch absolut grenzwertig, aber der Vergleich zum Hβ zeigt ziemlich deutlich den Unterschied und auch, dass sich tatsächlich etwas (mit [OIII]) erkennen lässt.

Dass der Himmel deutlich dunkler geworden ist, lässt sich auch an den Astroaufnahmen erkennen. Mittlerweile ist der Himmel eine Blende dunkler. Kann damit ähnlich belichten wie auf La Palma. 21.6 zeigt das SQM-L im Mittel für den Zenitbereich an. Ich fahre noch ein paar Highlights an und mache ein Foto der aufgehenden Sommermilchstraße.

Plötzlich ruft Mathias: „Wolken“. Im Westen hat sich ein Quellwölkchen mutmaßlich über der Wasserkuppe gebildet. Es verharrt dort, hin und wieder verschwindet es. Ein mahnendes Fanal, dass wir wirklich Glück mit dem Wetter haben.

!!Coma-Galaxienhaufen

Wunderbar! Es sind sofort ein Dutzend Galaxien erkennbar. Weiter geht es mit dem Ringnebel. Dann M 13 und M 3! Im Südosten ist Antares mit bloßem Auge zu erkennen, aber sehr, sehr schwach. Er steht einfach noch zu tief. Die Zangen des Skorpion stehen schon deutlich höher und sind gut zu sehen.

Mathias deutet Richtung Süden. Dort hat sich eine Zirrus-Wolkenbank herangeschlichen. Frechheit! Daher die perfekte Zeit, um einzupacken, was wir dann auch machen.

[[<< Zurück zur letzten Nacht|7. März 2024 - Lange Rhön]] | [[Weiter  zur Beobachtungsübersicht >>|Endlich wieder Frühling!]]

<div class="tc-link-info-item-large" style="float:right; margin-left: 15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1Ucqb0" title="E"><img src="https://live.staticflickr.com/65535/51588723041_2778d67146_h.jpg"></a>Mathias beim Hantieren mit seinem 10 Zöller.</div>

<div class="tc-link-info-item-large" style="float:left; margin-Right: 15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4zY6ZW" title="Untitled"><img src="https://live.staticflickr.com/65535/51622738214_a496fb7042_k.jpg"></a>Von der Langen Rhön aus kann man die Gleichenberge sehen. Die Aufnahme zeigt ebendiese. Es ist eine Region, die ebenfalls wenig Lichtverschmutzung aufweist und auch dünn besiedelt ist. Links sieht man, wie die Zwillinge aufgehen, rechts das Sternbild Orion.</div>

Freitag, das Wochenende steht an. Gestern gab es schon eine gute Nacht. Zwei weitere sollen folgen. Ich besitze selbst kein Auto und bin deshalb auf Carsharing angewiesen. Das Problem ist, dass wenn es gutes Wetter gibt oft kaum Fahrzeuge verfügbar sind. Ich habe noch ein „Furz“ von einem Auto erwischt. Toyota Aygo heißt das Ding und ich ahne schlimmes. Am Ende wird es doch nicht ganz so schlimm, denn alles passt rein. Der Tacho reicht bis 170 km/h, aber ich denke die wird das Ding nie erreichen. Und so wird es mit dem gefühlten Tempolimit von 130 in die Rhön. Dummerweise hat sich die Wettervorhersage auf den letzten Metern noch mal umentschieden. Es soll jetzt bis Mitternacht tiefe Bewölkung geben. Bin endlich mal wieder mit Uwe verabredet. Seit über sechs Jahren haben wir nicht mehr zusammen beobachtet. Mathias will später dazu kommen, aber es ist unklar für alle ob wir uns treffen werden. Jeder hat so seinen Platz und ich habe heute auch ein Zimmer auf der Wasserkuppe ergattert. Bin auch ziemlich durch und denke, dass ich nicht so lange durchhalten werde. 

Ich treffe kurz nach Sonnenuntergang auf der Wasserkuppe ein. Hole erst mal den Zimmerschlüssel und fahre dann zum Beobachtungsplatz. Dann warte ich auf einen Anruf oder eine Nachricht von Uwe. Schließlich trifft Uwe ein und wir müssen erkennen, dass das möglicherweise heute gar nichts wird. Daher schlägt Uwe vor, dass wir ein wenig „Beobachtungsplatz Spotting“ machen. Von der Wasserkuppe fahren wir rüber in die Lange Rhön; zuerst zu einem Parkplatz und checken die Lage. Guter Platz, wenngleich hier immer – auch nachts – Autos geparkt werden. Und dann geht es weiter. Wir haben einen bestimmten Platz im Blick und wollen schauen wie es nachts aussieht. Eingetroffen, steht dort allein ein Camper. Wir halten und betrachten die Szenerie. Schaut gut aus, aber im Moment viel zu feucht. Transparenz ist nicht gut. Am Ende muss Uwe eine Entscheidung treffen und fährt schließlich weiter. Es ist immer eine Abwägungssache, ob man bleibt oder wieder fährt. Ob das heute was wird steht tatsächlich noch in den Sternen. Ich werde auf jeden Fall noch einen  Moment bleiben. Kaum ist Uwe weg kommt ein Fahrzeug vorbei. Hält kurz und ich erkenne, dass das Mathias ist. Ich rufe, er hört mich.

Mathias ist schon durch die halbe Rhön gefahren, um zu schauen, wo wir am Ende gelandet sind. Er hat heute sein kleines Gerät dabei und hat es auch im Nu aufgebaut. Ich zögere und am Ende werde ich nicht aufbauen. Das hat einfach damit zu tun, dass ich ziemlich müde bin und nicht für ein zwei Objekte hier noch richtig ins schwitzen kommen will. Der Himmel wird derweil immer besser. Am Anfang kann ich 21.4 mit dem SQM-L messen. Später werden es sogar 21.5. Das ist für Herbst sehr, sehr gut. Normalerweise erreicht man hier dann nur Werte um 21.4. Genauso im Winter. Erst im Frühjahr kommen die besten Nächte.

![[M31 im Feldstecher|M31]]

Schließlich lande ich bei M31 und bin baff. Die Galaxie ist praktisch perfekt zu erkennen. Die westliche Seite ist wie abgeschnitten, dort wo das Staubband liegt. Sehr beeindruckend! Ich liege mit dem Rücken auf einer Bank. So kann ich den Feldstecher mit den weichen Augenmuscheln komplett auf dem Kopf abstützen und muss die Hände nur zum stabilisieren benutzen. Dadurch bekomme ich praktisch ein absolut wackelfreies Bild.

In der folgenden Nacht beobachte 👀 ich M31 noch einmal und erkenne weitere Details: Der südliche Teil der Galaxie ist nach Osten sehr „ausladend“. Am Rand sind sogar drei diffuse Sternwolken zu erkennen. Nach Norden hin sind die Spiralarme diffus und ohne Struktur. Darüber hinaus wenig schmaler und gar nicht „ausladend“. Dort sind keine weiteren Strukturen erkennbar.

Ich beginne eine Zeichnung, die ich morgen finalisieren möchte. Mittlerweile hat sich die Lage komplett gedreht. Die Feuchtigkeit ist verschwunden und stattdessen trocknen sogar die Autoscheiben wieder ab, wie Mathias feststellt. 

Wir sehen uns am guten Himmel satt. Ich bemerke, dass der Gegenschein wieder gut zu erkennen ist. Mathias stutzt, aber ich doziere, dass wir den schon vor Jahren sogar auf der Wasserkuppe gesehen haben. Hier und heute ist er ganz klar und sehr gut zu erkennen. Oberhalb und unterhalb ist der Himmel dunkler und an den Enden sind sogar die schwachen Ausläufer der Lichtbrücke sichtbar. Ich entscheide mich sogar ein Foto davon zu machen.

<<<.tc-big-quote

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Und hier ist es zu sehen: links oben etwas abseits der Mitte ist eine elliptische Aufhellung zu erkennen. Das ist der Gegenschein. Das Foto zeigt in etwa auch den visuellen Eindruck, wenngleich der Bildwinkel mit bloßem Auge etwas kleiner ist. Die Aufnahme entstand um 2:30 Uhr Ortszeit. Da ist er bereits schon Richtung Untergangshimmel vorgerückt.

<<<

Mathias haut um 3:30 Uhr ab. Ich bleibe noch bis etwa 4:00 Uhr. Dann packe auch ich zusammen und fahre rüber zur Wasserkuppe und freue mich einfach nur noch auf mein Hotelbett. Leider werde ich am nächsten Morgen viel zu früh wach und damit fällt die Erholung irgendwie ins Wasser. Habe aber dennoch unbedingt vor eine weitere Nacht zu beobachten.

[[<< Zurück|Sommer & Herbst 2021]] | [[Weiter >>|9. Oktober 2021 - Lange Rhön]]

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Himmel ist bei Sonnenuntergang blaugrau. Transparenz ist gut aber offenbar nicht optimal. Bin diesmal nicht zu früh am Platz, denn ich habe kein Bock, dass mich der Jäger wieder sieht. Stattdessen treffe ich jemanden, der herum läuft und plötzlich auf mich zukommt, und fragt, ob ich Astronom sei. Bin ich. Er sei Sternführer und biete heute Abend hier eine Sternführung an. Es handelt sich natürlich um eine Gruppe und der Kollege meint sie seien etwa 10-12 Personen. Na, prost, denke ich mir. Dann trifft schließlich Mathias ein. Ich habe mittlerweile schon vollständig aufgebaut und sogar meinen Dobson betriebsbereit. Doch dann, oh Schreck, ein Auto, aber es ist nur der Wirt vom Kiosk. Fünf Minuten später wieder ein Auto. Diesmal, der Jäger. Leuchtet uns wie Delinquenten an und meint in meine Richtung, dass man sich ja bereits kenne. Tuen wir. Beim nächsten Mal gäbe es eine Ordnungsstrafe. Frage noch, ob es auf der thüringischen Seite okay sei, zu stehen und er bejaht dies. Also alles wieder einpacken und 200 m weiter wieder aus. Der Platz ist aber nicht gut, denn man sieht die Straßenlampen der umliegenden Dörfer. Doof, denn zu allem Ärger leuchten die Fernlichter von Autos einer recht weit entfernten Straße bis hierher. 

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!NGC 6712

Ovaler bis eckiger Kugelsternhaufen. Kann vollständig bei 231x aufgelöst werden. Am Rand einzelne hellere Sterne und  Sternketten. Randbereiche laufen diffus aus. Bei geduldiger Beobachtung zerfällt der Kugelsternhaufen in drei hellere Klumpen, die eine flache Spitze Richtung Norden bilden.

![[IC 1295]]

Schwacher, ovaler Nebel, direkt neben NGC 6712. Bei 80x sind beide in einem Gesichtsfeld zu erkennen. Schönes Paar. IC 1295 kann bis auf 378x vergrößert werden selbst bei Nutzung eines [OIII]-Filters. Es zeigt sich eine ovale Blase mit hellerem Randbereichen. Schönes Objekt. Seeing 4.

Der Himmel ist seifig. SQM-L 21.36. Seeing ist richtig schlecht, schätze mindestens zwei Bogensekunden. Bei höherer Vergrößerungen sind alle Sterne Tennisbälle. 🎾

Daher bauen wir schon nach circa zwei Stunden ab und schenken uns die letzten 45 Minuten bis zum Mondaufgang. Puh, kein guter Auftakt.

[[<< Zurück zur Beobachtungsübersicht|Rhön im September 2023]] | [[Weiter zur nächsten Nacht >>|9. September 2023 - Lange Rhön]]

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![[NGC 4216]]

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{{NGC 4216}}

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![[M105]]

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{{M105}}

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Letzte Nacht. Fahre heute zum Reventon. Beste Bedingungen. Der Mond stört heute schon ein bisschen. Erstes Objekt ist Jupiter. Seeing ist wieder gut. Ist ja jetzt auch windstill. 
Dann noch mal eine kurze Nachschau zu IC 2177. Nichts neues zu sehen. Die Zeichnung wird finalisiert. Als der Mond dann weg ist, begebe ich mich auf die "Jagd nach dem Staubband".

''NGC 4216:'' Heute ist das Staubband relativ einfach zu sehen. Das Seeing es gut aber nicht sehr gut. Bei 168 Fach wird es schließlich als leerer Zwischenraum zwischen dem schwachen Vordergrundstern und dem Zentrum der Galaxie sichtbar. Durch diesen Stern geht parallel zum Galaxienkörper ein schwaches aber indirekt relativ einfach sichtbares sehr feines Band. Der leere Zwischenraum ist das Staubband.

Dann geht es mit der Überraschung von gestern weiter.

''NGC 4725:'' Die von mir getaufte "Propeller Galaxie" wird auch "Einarm-Galaxie" genannt, da sie tatsächlich nur einen Spiralarm hat. Sie ist bei einer Vergrößerung  von 168 fach sehr gut zu erkennen. Hat helles Zentrum und einen diffusen Balken. Nordöstlicher Teil des Balkens deutlich schwächer ausgeprägt während gegenüber der südwestliche mit einem kleinen geschwungenen Bogen aufwartet. An den Enden gebogene Spiralen wobei die südwestliche kürzer ist, aber deutlich heller. In der Nähe steht weitere Edge-On Galaxie.

Leider habe ich auf den schwachen fortgesetzten Spiralarm nicht geachtet. Er ist nordwestlich zu finden. Daher geht dieses Objekt in die Wiedervorlage hoffentlich zum Neumond im Mai in der Rhön!

''M105 & Friends:'' Weiter geht's zu M105. Sehr dankbar, da keine schwierigen Strukturen. Lässt sich recht gut zeichnen. M105 ist sehr hell und NGC 3384 steht dem nicht viel nach. Strukturen außer den stellaren Kernen sind nicht auszumachen. NGC 3373 ist die schwächste und kleinste.

Zum Schluss gibt es noch mal M51. Unglaublich. Präge mir das sehr helle und präsente Bild dieser Spiralgalaxie schnell ein. Kann es heute noch aus dem Gedächtnis abrufen. Schon erstaunlich, wie das Zeichnen die Beobachtungsfähigkeiten schult.

Zum Schluss werden noch mal die wichtigsten Sommerobjekte angefahren. Es ist mittlerweile 3:00 Uhr durch. Plötzlich kommt Wind auf. Das richtige Stichwort, um alles einzupacken. So geht auch diese Reise wieder zu Ende.

[[Zurück zum Artikel >>|April, April!]]

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Der Wind ist zurück. Er stürmt wieder aus Westen. Am späten Nachmittag scheint er sich wieder etwas zu beruhigen. Die Transparenz ist heute exzellent. Scheint wieder eine super Nacht zu werden. Konnte mich heute leider nicht so gut erholen. Aber ich hoffe, dass ich das ganze mit einer Kanne schwarzen Tee gut überstehen werde. Seeing ist heute nicht so gut wie gestern. Vielleicht liegt das auch am Wind. Transparenz ist unglaublich. Wie vor vier Tagen.

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Hubert und Rudi am 10 Zöller.
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[[IC 2621]]: Winziger PN, der auch bei 670 fach sternförmig bleibt. Reagiert sehr gut auf OIII. Sonst keine Details.

Seeing wird noch mal deutlich besser. Es geht aber noch ein leichter Wind. 

[[NGC 3918]]: Sehr heller, blaugrüner PN bei 100 fach. Bei 670 fach immer noch sehr hell. Ovale, helle Nebelschale, die am nördlichen und südlichen Rand etwas heller ist im Gegensatz zum Innern und dem östlichen und westlichen Rand. Spektakulär ist der abgehende „Jet“ mit hellem Ende, an den sich ein Feldstern anschließt. Auf der gegenüberliegenden Seite kleinerer Auswurf, der von einem unscheinbaren Bogen „übertrumpft“ wird, der sich außerhalb des Auswurf parallel an diesen anschmiegt und einen unscheinbaren, kaum wahrnehmbaren Knoten bildet. Insgesamt scheint der Nebelkörper rund zu sein, da ein schwacher Halo die westliche und östliche, schwächer definierte Nebelschale umgibt. Seeing 1-2.

[[Palomar 15]]: Heute ist bei 100 fach (AP=6.25 mm) ein etwa 2' großer Glow nördlich eines sehr schwachen Sterns zu erkennen. Absolut grenzwertig, aber dennoch sichere Beobachtung. Bei 178 fach (AP=3.5mm) auch noch zu erkennen. Bei 278 fach ist der Glow verschwunden und es blitzen an der richtigen Position immer wieder Einzelsterne durch. Sind nicht zu halten. Die hellsten können bzgl. Position relativ sicher zugeordnet werden und damit auch gezeichnet. Offenbar handelt es sich lt. POSS-Chart um Sterne des KS, was aber noch verifiziert werden muss. Seeing 1-2.

-2 °C. Top Transparenz. Sehr gutes Seeing. 

[[Halo von M57|M57 - Halo]]: Nachschau aufgrund bester Transparenz. Der äußere Halo ist heute bei 100 fach und OIII leicht zu erkennen. Wie bereits beobachtet, zeigt sich ein ovaler Glow, der recht gut begrenzt ist. Bei 178 fach und auch bei 278 fach und UHC zeigen sich die die bereits beobachteten Strukturen an der südöstlichen Seite.   Mit OIII sind diese nicht zu sehen. Der äußere Halo ist mit H-Beta und auch mit UHC nicht zu sehen. Mit UHC und bei 114 fach (am besten) und auch bei 278 fach sind aber einige Filamente zu erkennen. Grundsätzlich scheint die südöstliche Seite des Halos besser begrenzt. Nördlicher Rand läuft hingegen diffus aus.

Das SQM-L spinnt. Es werden im Mittel wieder 22.0 angezeigt, manchmal auch 21.9. Ein Fotograf hat gestern - wie ich auch - 22.0er Werte gemessen. Mhhmm. 

Wieder eine Nachschau. Muss aber sein. Das Seeing ist am Anfang der Beobachtung noch sehr gut, fällt dann aber recht schnell ab, so daß die Details nicht richtig sichtbar werden.

!!Genussspechteln 

Jetzt Genussspechteln: B142 & 143, M16, M17, M24 & der Tintenklecks. Mit Stefan, dem Mitbeobachter, wird noch mal gequatscht, dann verbotener Weise der Cirrusnebel eingestellt. Und dann geht es in die Magellanschen Wolken. SQM-L im Zenit knap über 22.0. Gegen 03:30 Uhr dann sogar 22.13 im Mittel. Die Lichtbrücke ist ohne „Augenverbiegen“ sichtbar und das die ganze Nacht. Zusammen mit dem Abendzodiakallicht im Westen zeigt sich im Osten das Gegenstück die Morgenzodiakallichtpyramide, die über die Nacht immer auffäliger wird. Ich muss zugeben, dass ich so einen Himmel noch nie zuvor gesehen habe, auch hier nicht auf Tivoli. Unglaublich. Jetzt weiss ich, warum die Kriterien für Bortle 1 Himmel so definiert sind: Dunkle Wolken erscheinen als „schwarze Löcher“ / Fehlstellen im Himmel und sind dunkler als der Sternenhimmel (das hatten wir vor zwei Nächten), Messierobjekte sind mit bloßem Auge einfach zu sehen, wie z.B. M4 u.s.w. 

Als letztes Objekt stelle ich das Grus-Quartett ein.

[[Grus-Quartett]]: Vier Galaxien insgesamt, und drei die relativ nah beieinander stehen. Sehen aus wie das Leo Triplet am Nordhimmel. Bei 278 fach und später 454 fach zeigen sich Strukturen wie angedeutete Spiralarme. Seeing 1. 

Ich bin immer wieder mit bloßem Auge unterwegs. Komme aus dem Staunen kaum raus. Knackig kalt ist es mit -6 °C jetzt geworden. Das SQM-L spuckt jetzt quasi immer Werte über 22.0 aus. Mathias kommt vorbei und erzählt vom heute anstehenden Ausflug. Für die Kollegen geht es heute zu den HESS-Teleskopen. Wir sind uns sofort einig, dass dies die beste Nacht bisher gewesen ist. Er erklärt mir auch, dass sein SQM-L ebenfalls Werte über 22.0 ausspuckt. 

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Die Dämmerung ist im Anmarsch. Trotzdem muss ich die noch mal kurz fotografieren. Schließlich warten ich und Stefan noch auf den Mondaufgang. Und tatsächlich ist er da. Es wird noch mal viel geknipst. Und dann geht es endlich mit Wärmflasche ins Bett. Ja mit Wärmflasche!

[[<<Zurück zur vorangegangenen Nacht|8. August 2018 - Tivoli Astrofarm]] | [[Weiter zur nächsten Nacht >>|10. August 2018 - Tivoli Astrofarm]]

Dritte Nacht. Diesmal auf dem Athos Star Campus. Windstill. Sehr gute Transparenz. Wunderbare Stimmung. Heute sind drei Gäste angekommen. Gestern einer. Damit ist hier alles voll. Nach Mitternacht sollen hohe Wolken aufkommen. Egal. Im Gegenteil. Etwas Schlaf wäre gut.

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!Kronberger 68

Vom Planetarischen Nebel leider keine Spur. Bin mir auch leider nicht sicher, ob es sich nicht tatsächlich um einen offenen Sternhaufen handelt. Denn in Sinbad ist dieses Objekt als solches gekennzeichnet. Es sind etwa ein halbes Dutzend Sterne zu erkennen, die in einem Rechteck angeordnet sind. Nichts spektakuläres.

![[Berkeley 83]]

Und wieder eine Nachschau: hier geht es darum nochmal genau die Ausdehnung und Form und auch mögliche hellere Knoten zu erkennen. Form ist länglich ähnlich einer Fahne, allerdings zeigt sich ein hellerer Nukleus am Rand hin, zum helleren Stern außerhalb.

Heute ist Wochenende und es ist tatsächlich erstaunlich, wie viele Autos hier die kleine Stichstraße runterkommen.

![[IC 5146 - Kokonnebel]]

Dies ist wieder mal ein Klassiker. Ich möchte vor allen Dingen hier noch mal schauen und eine eigene bessere Zeichnung anfertigen. Bei Übersichtsvergrößerung schon gut im Sternfeld auszumachen. Insbesondere in der Kombination mit dem Dunkelschlauch wunderschön anzuschauen. Nach kurzer Zeit zeigen sich auch schon Dunkelstrukturen in Form von Schläuchen im Innern des Nebels, der wie eine zarte Rose aussieht. Setze schließlich einen UHC Filter ein und so gefällt mir der Nebel am besten. Probiere zwar auch die gesamte Filterpalette durch, insbesondere auch H-Beta, aber irgendwie scheint mir der UHC am sinnvollsten. Auf jeden Fall ein echtes Highlight am Himmel!

![[M 77]]

Und die wieder xte Nachschau. Aber die brauche ich auch, denn es handelt sich tatsächlich um ein echt schwieriges Objekt, was ja auch zeichentechnisch noch schwieriger umzusetzen ist. Aber mittlerweile ist das Seeing ganz ok und die inneren Strukturen gut sichtbar.

Vor einigen Stunden habe ich bereits eine Messung mit dem SQM gemacht und war überrascht, wie gut die Werte eigentlich waren. Um 21.4 ähnlich wie gestern oben auf dem Berg. Transparenz ist. Heute habe ich das Gefühl besser und das obwohl ich hier nur auf 800 m bin. 16° C und 30% Luftfeuchte. 

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![[NGC 3521]]

Sehr schöne und helle Galaxie, die auch hoch vergrößert werden kann. Dann zeigt sich eine große spindelförmige Galaxie, die zudem Strukturen von Spiralarmen zeigt. Sternförmiges Zentrum mit hellem diffusen Kernbereich und insgesamt vier Spiralarmen. Sehr schön!

Zum Schluss gibt es noch mal M 95. Wunderschön heute besser als gestern, da jetzt noch höher stehend. SQM. Letzte Messung 21.6! Sehr gut. Bin völlig k.o.

[[<< Zurück zur letzten Nacht|8. Dezember 2023 - Wassertank]] | [[ Weiter zur nächsten Nacht >>|10. Dezember 2023 - Tagesausflug Roque]]

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Die Nacht war lt. der ING Wetterstation komplett bewölkt. Am Haus war es zeitweise klar bis es wieder zuzog.

Jetzt am Morgen scheint wieder die Sonne. Diese Nacht wird am Haus eine klare Nacht vorhergesagt. Ich konnte durch den guten Schlaf auch nochmal Kraft tanken.

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Oben weht ein leichter Wind aus SW. Trotzdem reicht er, um die Ginsterbüsche zum Wackeln zu kriegen. Fahre an meinen Platz, der vor Südwestwind geschützt ist. Komme dabei auch an der Aussichtsplattform vorbei. Die Insel liegt unter Wolken. 

Schieße noch ein paar Fotos vom Kraterrand aus, bevor ich abseits der Straße aufbaue. Wie toll, dass der Weg betoniert ist. Kein loses Geröll mehr. 

Doch kaum baue ich auf wird's windig. Warte noch ein bisschen ab. Doch dann ergreift mich Panik. Die Vorhersage meint ja, dass der Wind zulegen soll. Erst morgen, aber das kann ja in der Nacht schon los gehen. Alles wieder zusammenpacken und runter zum Haus. Halte noch an verschiedenen Stellen. Aber der Wind pfeift überall. Außer direkt an der geschützten Felswand. Aber dann ist der Himmel im Süden weg. Also weiter. Fast entmutigt halte ich noch mal an den Plätzen unterhalb der Residencia. Und beim zweiten Volltreffer. Praktisch windstill. Das will was heißen. Offenbar schützt ein flacher Felsvorsprung und vielleicht auch durch die geringere Exponiertheit...was auch immer. Also alles wieder aufgebaut. Die Dämmerung ist praktisch abgeschlossen. Egal. Am Ende steht alles und es kann los gehen.

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![[Abell 83]]

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{{Abell 83}}

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![[NGC 2174]]

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{{NGC 2174}}

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![[C/2013 US 10 (Catalina)]]

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{{C/2013 US 10 (Catalina)}}

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Erstes Objekt ist wieder ein Abell. Möchte eine neue Zeichnung zu Abell 83 machen. Hatte sie fast schon im Kasten vor ein paar Tagen. Dann ist das Teil aber untergegangen. Die Zeichnung war auch nicht gut, da hektisch entstanden. Für die Tonne.

''Abell 83:'' Bei 114 fach und OIII-Filter wird ein kleiner, runder Nebel sichtbar. Nordöstlich schwache Sternenkette. Diese aber nicht mit dem Nebel verwechselt. Kann indirekt nicht gehalten werden. Blitzt aber sicher auf. Immer wieder.

Der Nebel ist schnell gefunden und gezeichnet. Ist diesmal auch noch einen Ticken einfacher. Steht ja auch noch relativ hoch am Himmel, nicht wie letztes Mal :)

Danach geht es weiter zu NGC 2174. Bereits aus meiner Feldstecherzeit beim Abgrasen der Milchstraße vor Jahren entdeckt, zeigt er sich im Teleskop ganz ungewohnt.

''NGC 2174:'' Riesiger runder Nebel. Ohne Filter homogen und hell. Bei Einsatz eines UHC-Filters verändert sich der Nebel und sieht strukturiert aus. Sieht jetzt einer Galaxie sehr ähnlich, denn er zeigt Strukturen wie "Arme". OIII funktioniert auch gut.

Eine Zeichnung wird gemacht. Als diese fertig ist versuche ich im Internet eine Ansicht zu erhalten. HHHHMMMM, keine Gemeinsamkeiten, jedenfalls keine offensichtlichen. Prüfe nochmal. Aber so sieht er nun mal aus.

Und wieder ein Abell.

''Abell 28:'' An der richtigen Stelle ist nach relativ kurzer Beobachtung (ca. 5 min) ein mittelgroßer runder Nebel zu sehen. Kann indirekt auch ganz gut gehalten werden. Deutlich größer als zuvor beobachteter Abell 83. SQM-L zeigt 21.65 in diesem Himmelsabschnitt an. Dann möchte ich mich an die Zeichnung machen. Ohne OIII, um die Sterne zu zeichnen. Oh Schreck. An der vermeintlichen Nebelposition kann man mit etwas Geduld ein schwaches rechtwinkliges Dreieck aus ganz schwachen Sternen sehen. Offenbar wurde der Nebel durch diese nur vorgetäuscht, da die exakte Position etwas daneben liegt.

Puhhh. Das war knapp. Weiter geht es noch mal zum Cone- Nebel bzw. richtiger zum "Weinhachtsbaumhaufen", auf engl. Christmas Tree Cluster oder NGC 2264. Ich bin nämlich gefragt worden, ob ich den Cone-Nebel gesehen hätte. So ist mir erst noch mal richtig bewusst geworden, um welchen Haufen es sich da handelt, obwohl Weihnachten ja eigentlich vorbei ist.

''NGC 2264:'' Sieht tatsächlich wie ein liegender Weihnachtsbaum aus. Wobei sich an einer (der linken :)) bis zur Spitze die hellen Nebel des "Cone-Nebels" ziehen. Vom restlichen riesigen Nebelgebiet nichts zu sehen. Auch nicht mit UHC-Filter. OIII funktioniert praktisch nicht.

Zum Schluss steht noch mal eine Zeichnung von Catalina an. Diesmal auf das Vorzeichnen verzichtet. Schaue auf dem Smartphone und bei 65 fach im Teleskop nach: Das gibt es doch nicht! Diesmal ist das Sternfeld von Sky Safari korrekt! Natürlich nix vorbereitet, also alles vom Scratch. Anschließend bleibt für richtig neue Sachen nicht mehr die Zeit.

Das SQM-L zeigt diese Nacht nur Spitzenwerte von 21.72 an. Direkt nach der astronomischen Dämmerung 21.65. Abgesehen von diesem Spitzenwert bleibt es die ganze Nacht dabei. Temperatur 7° Celsius. Mit dem Wind aber gefühlt kalt. Sehr kalt. Bleibe heute bis zur Morgendämmerung. Möchte auch die auf dem Horizont liegende Milchstraße mit bloßem Auge beobachten. Als es dann soweit ist, ist leider nicht viel zu sehen. Trotz der Kimmhöhe von 2300m versinkt die Milchstraße im Airglowband und ist praktisch nicht mehr erkennbar. Während dies bei der Wintermilchstraße vielleicht noch erahnbar ist, ist die Sommermilchstraße im Schwan noch nicht zu sehen. Es ist gerade mal die Leier aufgegangen und gut zu sehen. 

An andere Stelle tut sich aber was. Saturn und Venus sind gerade aufgegangen. Das Morgenzodiakallicht steigt bis zu Jupiter empor. Dann setzt die Dämmerung ein. Schnell noch mal Jupiter gucken. Das Seeing ist aber nicht so gut. Und jetzt bin ich tot. Alles zusammenpacken. Am Haus bin ich erst gegen 08:00 Uhr morgens. Ein wunderbares Erlebnis.

[[Weiter zur nächsten Nacht >>|10. Januar 2016 - Roque de los Muchachos]]

Ich bin immer wieder gerne in der Rhön. Jetzt zum Jahresanfang steht die Sonne wirklich sehr tief und wenn man draußen rum läuft, wirft sie schon lange Schatten obwohl es noch früher Nachmittag ist. Es dominieren Gelbtöne vor graublauen Himmel, im Vergleich zu La Palma ein krasser Unterschied. Aber auch schön!

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Die ersten Sonnenstrahlen über Birxs. Blick Richtung Wüstensachsen - Pancolar 50 mm 1.8m @f8 mit Sony A7s.

Sehr trocken und kalt. Laut Wetterstation 40 % Luftfeuchtigkeit und -7° C. Erste Messungen gegen 21 Uhr zeigen, dass der Himmel total hell ist. 21.11 mit Linse,  20.83 ohne. Und das, obwohl der Himmel heute tagsüber sehr, sehr transparent war. Es ist wahrscheinlich wirklich die lokale Lichtverschmutzung, die den Himmel kaputt macht. Aber es ist ja noch früh in der Nacht und wahrscheinlich wird es noch mal besser. Der Wind weht manchmal in Böen und dann ist es fast wieder windstill. Eigentlich recht angenehm nicht schlimmer als in Birx beziehungsweise gestern an der Grenze, im Gegenteil.

![[IC 2087]]

Bei diesem Objekt handelt es sich um einen Reflexionsnebel, der von dem berühmten visuellen Beobachter E. E. Barnard 1892 entdeckt worden ist. Bin gespannt, denn den habe ich bisher noch nicht im Okular gehabt, und er ist mit angegebenen 10 mag auch relativ hell.

Sehr unscheinbarer und kaum zu erkennender Nebel um einen Stern. Es ist noch recht früh mit 21 Uhr und der Himmel ist noch seifig beziehungsweise recht hell. Das erschwert die Beobachtung ungemein. Kann aber dennoch bei 231x einen recht großen, gebogenen Nebel abseits des Sterns erkennen. Der Bogen ist, etwas knapp halbkreisförmig wahrnehmbar und in der Bogenmitte zeigt sich ein helleres dreieckiges Segment. Sonst keine Strukturen sichtbar. Schöne Beobachtung. M 31 folgt und weiter diverse Highlights. 

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![[Van den Bergh 1]]

Ich raffe mich tatsächlich noch mal auf und stelle ein ernsthaftes Objekt ein. Einen hellen Stern in einer dreieckigen Sternengruppe umgibt ein Nebel, der zarte Ausläufer nach Westen beziehungsweise Nordwesten zeigt, die nur indirekt sichtbar sind. Das gegenüberliegende Sternpaar des Sterndreiecks scheint auch vom Nebel umgeben zu sein, beziehungsweise der Reflexionsnebel ragt vom südlich stehenden Stern an beide heran. Südwestlich zeigt sich ein sehr schwacher Stern, der von einem ringartigen Nebel umgeben ist, der wiederum selbst in nebeligen Hintergrund getaucht zu sein scheint. Ebenfalls sehr interessantes Objekt! Vergrößerung 231x. Seeing 3-5.

Temperaturen sind mittlerweile auf -8 °C gefallen. Luftfeuchtigkeit bei 45 %. Mal abgesehen von den hin und wieder auftretenden Böen ist es praktisch eine perfekte Nacht. Auch nicht zu kalt, denn aufgrund der niedrigen Luftfeuchtigkeit kann ich sogar mit einfachen Fingerhandschuhen hier hantieren. Sogar das iPad mag all das, denn es funktioniert und der Akku verliert auch kaum Leistung! Zeichnen geht auch wunderbar. Perfekte Nacht, wenn der Himmel nicht aufgehellt wäre. 

Kurz Jupiter einen Besuch abgestattet und mit dem linken Auge reingeschaut. Nichts zu erkennen außer zwei Bänder. Es ist ein gewabbere...

Kurz nach 22:30 Uhr macht der Himmel einen Sprung: mit der Linse messe ich plötzlich 21.2 und ohne fast 20.93. Trotzdem nur mittelmäßige Bedingungen, denn der Himmel ist heller als sonst üblich. Seeing bleibt richtig schlecht und so mache ich eigentlich nichts ernsthaftes mehr, sondern surfe einfach so in der Gegend herum. Letztlich packe ich gegen Mitternacht zusammen. Das reicht mir für heute.

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Hier ist alles relativ grün. Ungewohnt. Die Schafe und Ziegen haben es wohl noch nicht geschafft alles aufzufressen. Bis in den Mai hinein ist vereinzelt Schnee gefallen. Im gesamten Winter sogar recht viel. So wie früher, wie die Leute hier sagen.

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29476081458/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1782/29476081458_92d715883b_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Nach dem Mondaufgang gegen 05:15 Uhr.</div>

Zunächst windstill, dann doch wieder Wind aus SW. Bin auf „meiner Wiese“. Zu Beginn gleich mal 21.76 im Zenit im Mittel gemessen. Seeing ist schlecht. Leider. Fahre erstmal die Standardobjekte im Feldstecher an. M4 kann ich mit etwas Mühe mit bloßem Auge erkennen. Beim Kollimieren machen Grillen Probleme. Werden durch das Rotlicht vom Laser angelockt und setzen sich auf den Hauptspiegel! Na sowas! Was erlaube!

Erstes Objekt ist IC 4634. Zunächst aber eine Verwechselung mit NGC 6287, einem unscheinbaren KS, der bei 290 fach aber aufgelöst ist. Form unregelmäßig, abgehende Arme. Helleres, aus nur wenigen helleren Sternen bestehendes Zentrum.

[[IC 4634]]: Selbst bei 290 fach als heller Nebelball kaum von den Feldsternen unterscheidbar. Bei ca. 1000 fach wird der ZS blickweise sichtbar und es zeigt sich ein ovaler Nebel mit „Ansen“. Bei geduldiger Beobachtung zeigen sich zwei helle „Spiralarme“. Das Seeing ist phasenweise plötzlich sehr gut. Seeing 1-2.

Mittlerweile ist es Mitternacht durch. Immer wieder habe ich zum „Feuerturm“ geguckt. Ob er besetzt ist? Ja ist er, denn pünktlich gegen Mitternacht fährt der Wächter runter. Wie immer. 

An diesem PN habe ich auch die Durchlaufzeiten genommen: 1min 06 sec mit dem 3.7mm Ethos (430 fach) und 29-30 sec mit Baader FFC + 3 cm Verlängerungshülse (schwarz). Ergibt dann 947 fach, also ca. 1000 fach. Passt also.

Mittlerweile erreicht das SQM-L die 21.80! Temperaturen sehr angenehm mit 15° C. Wind aus Südwest. Es folgt eine Nachbeobachtung von [[Uwe|http://www.deepsky-visuell.de]].

NGC 6645: Offener, recht unscheinbarer Sternhaufen, der bei 65 fach aussieht, wie mancher helle Sternhaufen im Feldstecher. Mehrere Dutzend, fast gleich helle Sterne. Im Zentrum zwei hellere zu erkennen. Im Außenbereich viele Sternketten. Nördlich vereinzelt helle Sterne. Unklar, ob sie zum Haufen gehören.

[[Minkowski 1-53]]: Winziger Nebelball bei 1000 fach, der einen ZS beherbergt. Auf dem Rand sternförmiger Knoten, nein schwacher Stern, der etwa genauso hell wie der ZS ist. Südöstlich liegen zwei helle Sterne, zwischen denen weiter westlich ein weiterer ovaler Nebel zu sehen ist. Ist so weit weg, dass er natürlich mit 1-53 nichts zu tun hat. Erstaunlich, was ich mit 14 Zoll alles erkennen kann! Seeing 1.

Mir fällt auch auf, dass die kleinen Lichtglocken im Westen praktisch nicht zu sehen sind. Ob das mit dem Wetter zusammenhängt ?

[[Minkowski 1-56]]: Steht in der Nähe. Bildet mit zwei gleich hellen Sternen rechtwinkliges Dreieck. Kann praktisch von den Feldsternen nicht unterschieden werden, auch bei 1000 fach nicht. Mit OIII kann er aber aufgespürt werden, denn dann wird er deutlich heller. Seeing 2-3.

Mittlerweile ist es halb vier. Temperaturen liegen um 13° C. Mars wird eingestellt: Aber leider ist nur hochfrequentes Wabern zu sehen. Das Seeing wird wieder deutlich schlechter.

Zunächst wieder eine Verwechselung mit NGC 6712. Ziel ist eigentlich IC 1295. Der KS zeigt sich nicht vollständig aufgelöst und mit zentralen Balken und nicht ganz runder Grundform. 

[[IC 1295]]: Ovaler, heller Nebel, der schon ohne Filter gut zu erkennen ist. Optimale Vergrößerung 290 fach. Reagiert auf OIII und dann werden auch die parallel verlaufenden hellen Ränder sichtbar. Nördliche scheint kurz unterbrochen zu sein. Östlicher Rand schwächer. Westlicher mit Aussparung, die wie abgeschnitten wirkt.

Der Mond geht auf. Bin ziemlich fertig. Abbauen. Vorher noch zum „kahlen Baum“, der dieses Jahr gar nicht so kahl wirkt. Dort steht noch meine Kamera und nimmt brav ein Zeitraffer auf.

[[<<Zurück zum Artikel|Pinar de Araceli Sommer 2018]] | [[Weiter zur nächsten Nacht >>|10. Juli 2018 - Pinar de Araceli]]

Bin heute wieder in Stumpi. Heute nun wirklich alleine, denn der Kollege von gestern kommt ja nicht. Heute bleiben etwas weniger als 4 Stunden Nacht, morgen weniger als drei. Für vier fahre ich noch, für drei eher nicht. Was mich heute antreibt ist vor allem die gute Seeingvorhersage.

Das unten stehende Foto wurde bereits gestern aufgenommen, aber die Stimmung ist die gleiche. Die Erholung war relativ gut, wenngleich sie hätte besser sein können. Naja es könnte immer besser sein!

Wohl einmalig an diesem Beobachtungsplatz ist tatsächlich die Tatsache, dass man vom nahe gelegenen Dorf nichts mitbekommt. Kein Licht, kein Nix. Ab und zu kommen natürlich Autos vorbei, die etwas stören können. Aber das Geilste ist die Kirche: jede Stunde macht sie einen Glockenschlag und man hat das Gefühl sie steht neben einem, denn so laut ist das. Jeder Beobachtungsort ist besonders!

Die Seeingbedingungen sind entgegen der Vorhersage leider schlecht. Hin und wieder wackelt der gesamte Himmel und ich frage mich, was das soll. Also mittlerweile glaube ich, dass die Vorhersage von Meteoblue zum vergessen ist. Das kann man sich sparen!

Am Anfang ziehen hohe Wolken durch. Ich denke das kann man verschmerzen. Ich bin viel zu früh da, habe aufgebaut und es bleiben noch zwei Stunden, bis der Mond tatsächlich untergeht.

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![[M53]]

Ich beobachte den Kugelsternhaufen im Bino. Im Moment stört ja noch der Mond, aber für solche Objekte ist das irrelevant. Dachte ich zumindest! Aber, der stört gewaltig! Bis kurz vor Monduntergang kann man quasi dem Bild zuschauen, wie es kontrastreicher und viel besser wird. Insbesondere viele schwache Sterne im Außenbereich und im Innern werden dann erst sichtbar. Im Kern zeigen sich drei hellere Bereiche, die relativ gut voneinander abgegrenzt sind. Wie bei Kugelsternhaufen üblich zeigen sich im Randbereich Sternketten, die wie Arme aus dem Zentrum abgehen. Der Kugelsternhaufen kann aufgelöst werden, wenngleich abgesehen von den drei helleren Bereichen, das Zentrum trotzdem hell und dicht und auch zum Teil ein Rest unaufgelöster Sterne verbleibt, da das Zentrum sehr dicht ist.

![[NGC 4567 & 68 - Siamesische Zwillinge]]

Sehr schöner Anblick! Schon bei 83x erscheinen zwei linsenförmige und sehr helle Galaxien. Bei Steigerung der Vergrößerung auf 231x erscheinen die Galaxien lang gezogen und bilden etwa einen 30° Winkel. Sie scheinen sich an den Außenbereichen dann zu berühren. Beide haben ein etwa gleich helles Zentrum, wobei bei NGC 4567 das Zentrum punktförmig ist, bei 4568, der größeren der beiden Galaxien, ist das Zentrum leicht elongiert. Beide Galaxien zeigen im Innern Ansätze von Spiralarmen, bei 4567 ist dies besonders deutlich, wo zwei gegenüber liegende und gegeneinander versetzte Spiralarme zu erkennen sind. Am Ende zeigen sich, leicht versetzt, punktförmige, diffuse Knoten. Im Innern von 4568 zeigt sich ein hellerer Bogen, der nach außen hin leicht gebogen und scheinbar geradlinig verläuft. Am Ende nimmt er einen spitzen Bogen und ein Teilsegment - in Verlängerung - auf der anderen Seite wird sichtbar. Ideale Vergrößerung 231x. 378x (AP 1.38 mm) etwas zu stark vergrößert, denn dann verschwinden einige Details. Wunderschönes Paar! In der Nähe ist eine recht helle Spiralgalaxie NGC 4564 zu sehen, die ein helles, sternartiges Zentrum hat und einen hellen, auffälligen Balken. 

![[NGC 3319]]

Sehr unscheinbare Galaxie. Kann bei Übersichtsvergrößerung von 83x kaum ausgemacht werden. Nur durch die richtige Position verrät sich das Objekt. Zunächst ist ein dünner, nahezu homogener Strich zu erkennen, sonst aber nichts. Bei indirekter Beobachtung scheint die Galaxie „rechteckig“ zu sein, wobei die Ecken stark abgerundet erscheinen. Bei Steigerung der Vergrößerung auf 148x werden nach geduldiger Beobachtung dann doch Strukturen sichtbar. Es zeigen sich ganz feine, diffuse Spiralarme und teilweise Knoten darin. Das Ganze ist sehr subtil und vermutlich nur bei bester Transparenz und dunklen Himmel sichtbar. Sehr herausfordernd, aber sehr schön. 

!!Gegenschein mit bloßem Auge

Nachdem ich den Gegenschein gestern auf meinen eigenen Fotos recht gut erkennen konnte, habe ich heute visuell nach ihm geschaut. Nicht einfach, da recht tief stehend, aber dann eindeutig: an den Hintertatzen des Löwen beziehungsweise - genauer gesagt darunter - ist schließlich ein ovaler, recht großer Fleck zu erkennen. 

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Interessanterweise scheint es auch einen ähnlichen Effekt wie beim Mond zu geben: Die Ausdehnung scheint viel größer zu sein, wie vor einem Monat auf La Palma, wo ja noch deutlich höher stand. Also ganz ähnlich, wie beim Mond 🌜, der ja auch in Horizontnähe scheinbar größer erscheint, als im Zenit.

![[UGC 10214 - Tadpole Galaxy]]

Es gab bereits [[einige Versuche|13. Februar 2018 - Wasserkuppe]] von mir, die Galaxie zu beobachten. Das hat zwar auch geklappt, aber der Gezeitenschweif blieb mir immer verborgen. Das lag vermutlich an der zu geringen Öffnung. Heute kann ich bei 83x die Galaxie im Sternfeld gut erkennen. Wenngleich ich überrascht bin, wie schwach sie tatsächlich ist. Optimale Vergrößerung ist bei 231x. Schließlich wird indirekt der Gezeitenschweif erkennbar und dieser zeigt sogar mittig ein helleres Teilstück. Die Galaxie ist dagegen linsenförmig mit sternartigen Zentrum. Rand scheint heller zu sein, und ein Balken im Inneren wird sichtbar, an dessen Enden sternartige Knoten sitzen. Ein echtes Highlight, wenn gleich ich etwas überrascht bin, dass das Objekt selbst mit 21 Zoll herausfordernd ist.

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!Palomar 5

Es bleibt nur noch eine Viertelstunde. Machen oder nicht machen? Ich entscheide mich für machen. An der richtigen Position, die ich natürlich nicht sofort finde, zeigt sich schließlich ein runder, sehr diffuser Glow. Mehr Zeit bleibt nicht, denn die Dämmerung ist bereits im Anmarsch. 

Trotzdem schwenke ich noch mal zu M51. Wunderbar!

5:00 Uhr ist es jetzt, und während ich meine üblichen 30 Minuten für das zusammenpacken brauche, wird es schon deutlich heller. Ich bin recht fit heute, im Gegensatz zu gestern und genieße die Autofahrt zurück nach Frankfurt. Die Autobahn ist heute nicht so voll, was mich echt wundert und in Frankfurt sind um 7:00 Uhr kaum Menschen auf der Straße. Ich kann in Ruhe vor dem Haus alles ausräumen, ohne dass ich angemotzt werde. Das ist ein schöner Abschluss und ich freue mich schon auf mein Bett. 

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Heute ist Samstag. Die Wetterprognose sagt, dass es bis Mitternacht ein paar hohe Wolken geben soll. Bis jetzt ist nichts zu sehen. Ich hänge ein wenig in der Rhön ab und versuche irgendwo zu schlafen.  

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Vorher mache ich noch einen Ausflug zum Gipfel. Ich bin überrascht, dass praktisch weite Teile der Fuldaer Umgebung unter einer dicken Nebeldecke liegen. Wenn die hält, sollte es heute Nacht perfekte Bedingungen geben.

Finde sogar einen abgelegenen Platz und habe mich auf den Boden. Aber das klappt natürlich nicht, denn ein wenig später taucht einen Campingbus auf und mit ihnen ein paar Leute. Netterweise fragen Sie danach ob es mir gut ginge, was natürlich nett ist. Hilft mir allerdings wenig, denn so ist an Schlaf nicht zu denken. 

Ich versuche diverse andere Geschichten, wie zum Beispiel auf dem Autositz zu schlafen, aber das klappt auch nicht. Am Ende bin ich total fertig, aber es hilft alles nichts. Ich fahre wieder zum gleichen Beobachtungsplatz wie gestern. Er ist praktisch jetzt neu und hat sich in die Reihe der besten Plätze in der Rhön eingereiht. Zugeparkt ist er, aber ich hoffe, dass es nachts hier weniger Leute gibt. Und so ist es. Pünktlich zum Sonnenuntergang ist das letzte Auto gefahren. Ich bleibe praktisch allein zurück. Mathias kann heute leider nicht. Schade.

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Die Erdschatten geht sehr transparent auf. Die Dämmungsfarben zeigen sich absolut klar und vielfältig. Zunächst ein blau und rosa später dann ein grün. In diese Abfolge kündigen sich in der Regel sehr gute Nächte an. Von den vorhergesagten Wolken ist natürlich noch nichts zu sehen. Ich hab das ganze mittlerweile aber schon abgetan und glaube, dass es gar keine geben wird. Das war etwas verfrüht.

!Mond & Venus

Der Mond 🌜 ist während der Dämmerung gut zu sehen. Knapp über dem Horizont. Daneben die Venus.

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Das Auto ist so winzig, dass ich die Hälfte rausräumen muss, um überhaupt einen Überblick über die ganzen Sachen zu bekommen. Das ist natürlich nicht so gut, wenn es feucht ist. Und es ist feucht. Die Wetterstation schnellt jetzt schon auf 95 % relative Luftfeuchtigkeit. Die Temperaturen brechen nach Sonnenuntergang sofort ein und pendeln um die +5 °C Marke. Der Wind hat nachgelassen und ist kaum zu spüren. Hin und wieder gibt es einen Luftzug aus Südost. 

<div class="tc-link-info-item-large" style="float:right; margin-left: 15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/42QwTw" title="Untitled"><img src="https://live.staticflickr.com/65535/51577724479_ecced31c63_k.jpg"></a> Die Dämmerung schreitet schnell voran. Mittlerweile kann man im Oktober schon zu früher Stunde beobachten. Die Aufnahmen entstand gegen 20 Uhr abends während der Dämmerung. </div>

Ich habe heute rechtzeitig aufbauen können und das praktisch während der Dämmerung. Kein zeitlicher Verzug, aber es bringt mir wenig, denn ich bin total durch. Trotzdem habe ich den Tisch, den Campingstuhl, sowie das Teleskop mit Beobachtungsstuhl aufgebaut. 

!Pismis Moreno 1

Schöner Offener Sternhaufen und schon bei 65x prominent und auffällig. Steht in der Nähe eines Sternpaars, welches mit bloßem Auge schon zu erkennen ist. Optimale Vergrößerung ist schließlich 168x, um etwas von der Schockfront von Sh 2-140 zu erkennen. Denn der Offene Sternhaufen ist in diesen eingebettet. Am Ende zeigt sich aber leider nichts, trotz UHC und OIII-Filter. Der Sternhaufen besteht überwiegend aus helleren, weißen Sternen. Der Haufen ist als solcher kaum erkennbar, da sich keine Haufenkonzentration abzeichnet bis auf eine kleine Sterngruppe am Rand. Interessante unregelmäßige Form, mit verschiedenen Sternketten.

Hin und wieder leichter Wind aus Ost. Laut meiner Wetterstation 99 % Luftfeuchte bei +2 °C. Es ziehen immer wieder hohe Wolken durch. Aber sie bilden nur vereinzelte Schleier. Der Himmel ist gut; 21.4 schon um 22:00 Uhr. Trotzdem zeigt sich der Horizont recht aufgehellt. Gegen Mitternacht ändert  sich das schlagartig und ich kann ja von hier auch in den Ostteil der Rhön schauen. Viele Lichtquellen verschwinden, möglicherweise sind das Sportplätze. 

Am Horizont sind ein paar Wolken aufgetaucht. Richtung Norden. Naja, die werden wohl vorbei ziehen. Tun sie aber nicht. Plötzlich ist eine fette Zirre quer über dem Himmel da. Ich lasse mich aber nicht aus dem Konzept bringen, denn abseits ist der Himmel immer noch sehr transparent. Und Meteoblue sagt, dass sie nach Mitternacht verschwinden werden. Und so wird es auch kommen. Schließlich ziehen sie ab und der Himmel wird wieder besser.

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9fxCdA" title="Best"><img src="https://live.staticflickr.com/65535/51576443450_0bcff4a4d0_k.jpg"></a>Bei der Beobachtung von M33. </div>

Am Ende werde ich nur fotografieren. Aber das ist auch nicht schlecht, denn neben dem Fotografieren kann ich gleichzeitig mit bloßem Auge den Himmel beobachten. Dann raffe ich mich doch noch auf und hole den Feldstecher raus. Ein Gerät, dass vermutlich das vielseitigste und beste Fernrohr überhaupt ist, das ein Beobachter haben kann. Der Feldstecher wird viel zu stark unterschätzt.

Ich schau mich am Anfang in der Cassiopeia ein wenig um. Als erstes kommt mir M52 unter. Dieser Sternhaufen sieht im Feldstecher so aus, wie  M44 mit bloßem Auge. Kann nicht aufgelöst werden, wenngleich das runde, kaum konzentrierte Nebelbällchen immer wieder einen gemottelten  Eindruck macht.
Ich stolpere über weitere Kuriositäten und versuche sogar die Nebel um γ Cassiopeiae. Aber nichts, was auch nicht verwunderlich ist. Aber versuchen kann man’s ja.

!Nebel um γ Cassiopeiae - [[IC 59 & 63]]

Dann stelle ich IC 59 und 63 im 14 Zöller ein. Mega! Bei 80x werden die beiden sofort und einfach sichtbar. Ich beobachte schließlich mit UHC. Aber eigentlich ist es wurscht, die Nebel sind auch so und auch nicht besser zu erkennen. Ich  mache schließlich auch eine Zeichnung. So kenne ich die beiden nur von La Palma.

Später kommt leichter Wind auf. Und es trocknet alles ab. Die Nacht ist phänomenal. Gegen 4:00 Uhr werden schließlich die 21.6 erreicht. Temperaturen unter dem Gefrierpunkt. Dann kommt der Nebel offenbar zurück, denn im Nu bildet sich überall Raureif. Der Platz scheint wohl tatsächlich anfällig für Feuchtigkeit zu sein.

![[NGC 7789 - Caroline’s Rose|NGC 7789]]

Beim Durchstreifen der Cassiopeia mit dem Feldstecher treffe ich auf diesen Offenen Sternhaufen. Er wird eingerahmt von zwei hellen Sternenpaaren, der mittig steht und auch nicht aufgelöst werden kann. Dennoch scheint er leicht „grießig“. Er erinnert mich an M44, die Praesepe, allerdings mit bloßen Auge.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/97y2gM" title="Best"><img src="https://live.staticflickr.com/65535/51573206148_1b71716b89_h.jpg"></a>5:33 Uhr, eine Viertelstunde vor der astronomischen Dämmerung. Grandios. Die Wintersternbilder sind alle aufgegangen und das Zodiakallicht ist sehr gut zu sehen. Sogar die Lichtbrücke ist zu erkennen. Ganz, ganz schwach, aber sie ist erkennbar. Das war auch visuell so.</div>

!Nachschau M31 im Feldstecher 

Heute schaue ich noch mal nach M31. Die Bedingungen scheinen heute wirklich noch mal besser zu sein als gestern. Im Feldstecher kann ich schließlich sogar ein paar Details in den äußeren Spiralarmen erkennen. Es zeigen sich dort nämlich drei Wölkchen. Krass! Im Zenit ist praktisch kaum ein Unterschied zu den Top Beobachtungsstandorten, die ich so kenne, zu erkennen. Heute hat es tatsächlich La Palma Himmel.

!M33 ist mit bloßem Auge 👁 einfach zu erkennen 

Aber erst mal geht es weiter. Auf dem Speisezettel steht diesmal M33. Die Galaxie ist sogar mit bloßem Auge bereits direkt sichtbar. Ich hatte schon vor zwei Jahren damit angefangen und eine Zeichnung begonnen. Das verrückte ist leider, ich habe sie verlegt. Also das ganze wieder von vorne. Als ich jedoch bei 80x durch das Teleskop schaue, bin ich sprachlos. So hell und so viele Details. Uff! Ich kapituliere! Das geht heute nicht. Ich bin einfach völlig am Ende und so viel Konzentration ist einfach nicht mehr möglich.

![[M35 & NGC 2168]]

Ein wirklich schönes Paar. M35 ist bereits mit bloßem Auge 👁 zu erkennen. Bei 80x im 14 Zöller ist der Sternhaufen weit zerstreut. In der Nähe ebenfalls und aufgelöst NGC 2168. Dreieckig, bestehend aus schwachen Sternen. Ein Traumpaar.

!M42 & [[NGC 1975 - Running Man]]

Ich entscheide ich mich weiter Fotos zu schießen. Als schließlich der Orion komplett aufgegangen ist und mittlerweile fast im Süden steht, schaue ich nach M42. Boah! Kenne ich so nur von La Palma. Krass! Das Zentrum erscheint im Farbenspiel bläulich, wobei ich unsicher bin ob es sich am Ende nicht um eine optische Täuschung handelt. Beobachte dieses Phänomen schon seit Jahren, aber nur unter Top Bedingungen taucht es auf. Und heute scheint es diese tatsächlich zu geben. Mega krass. Hole noch mal schnell den Feldstecher. Auch hier sehr beeindruckend! Im Teleskop 80x ist sogar sehr, sehr einfach der Ringschluss gegenüber des Zentrums zu sehen. Dabei handelt es sich um eine schwache Nebelbrücke die am Ende das Zentrum und die anderen Teile quasi zu einem Ring schließt. Beeindruckend ist auch der Nachbar NGC 1975. Trotz Müdigkeit packe ich noch mal das Zeichenzeug aus und beginne tatsächlich den schönen Nebel zu zeichnen.

5:50 Uhr. Ende der astronomischen Nacht. Ich hab tatsächlich durchgehalten. Alles ist verstaut und es geht zurück nach Hause. Vor Fulda komme ich bereits in dichten Nebel. Die Nebeldecke hat also im Westen gehalten. Ob das mit den guten Bedingungen zu tun hat? Wer weiß. Es war auf jeden Fall eine der besten Herbstnächte in der Rhön überhaupt.

[[<< Zurück|8. Oktober 2021 - Lange Rhön]] | [[Zurück zur Beobachtungsübersicht >>|Sommer & Herbst 2021]]

Früher war ich mit Iberia unterwegs, jetzt mit Condor. Iberia fliegt nur noch mit Zwischenstopp über Madrid, der aber länger als einen Tag dauert. Ich brauchte Iberia früher, da man einen zusätzlichen Koffer für unglaublich günstige 60 € hin und zurück einfach dazu buchen konnte. Und der Koffer durfte jeweils 23 kg schwer sein. So konnte ich locker 46 kg mitnehmen und das heißt ein Fotostativ sowie meinen 14 Zoll Dobson. 

<<<.tc-big-quote

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/u13d91" title="Los Llanos de Ariadne visto desde el Time"><img src="https://live.staticflickr.com/65535/50379952551_236ee09de0_k.jpg" alt="Los Llanos de Ariadne visto desde el Time"></a>

Blick vom El Time runter auf Los Llanos de Aridane, der größten Stadt auf der Insel. Über den Bergkamm im Hintergrund schwappen normalerweise die Wolken des Nordostpassats. 

<<<

!Diesmal mit Condor...

Condor hat den Vorteil, dass Flüge von Frankfurt aus direkt nach La Palma gehen ohne umsteigen und Zwischenlandung. Aber die Übergepäckpreise sind natürlich gepfeffert. Das ist aber nur wichtig, wenn man mit viel Gepäck unterwegs ist. Bin ich diesmal aber nicht.

Der Flug ist relativ leer. Dazu muss man wissen, dass man bei Flügen nach La Palma häufig die älteren „Semester“ antrifft. Die haben natürlich im Moment im Kontext COVID Angst zu fliegen und so ist auch der Flieger relativ leer.

In La Palma angekommen ist das Computersystem ausgefallen. Nun gut, der QR-Code und die Einreiseregistrierung hinfällig. Wir sitzen schließlich alle da und füllen die Formulare erneut aus, diesmal aber auf Papier! Dann wissen die Verantwortlichen nicht was zu tun ist und irgendwann werden alle durchgewunken. Chaos!

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/T096h2" title="Athos Sommermilchstraße"><img src="https://live.staticflickr.com/65535/50330078106_6c4d1cad8a_h.jpg" alt="Athos Sommermilchstraße"></a>Die Sommermilchstraße von Athos (Las Tricias aus gesehen). Nachgeführte Aufnahme mit STC-Filter, um die HII-Gebiete deutlicher abzubilden. Der Himmel war leider etwas dunstig, da hohe Wolken durchzogen. Trotzdem war es eine Offenbarung, wie man sehen kann. 🤩</div>

!Endlich da...

Ich treffe gegen 17:30 Uhr auf Athos ein. Kai erwartet mich schon. Ich bin der einzige Gast. Er zeigt mir meine Unterkunft. Dann quatschen wir und schließlich geht die Sonne unter. Die Bedingungen sind nicht optimal. Leichte Calima, hohe Wolken ziehen durch. Andererseits nichts dramatisches. Die Dunkelheit bricht herein und ich bin hellwach. Die Nacht beginnt warm mit 25° C. 

Ich mache ein paar Aufnahmen. Nix spektakuläres. Dann durchstreife ich die südliche Milchstraße mit dem Feldstecher. Und das bei 26° C. Das SQM-L misst 21.8 abseits der Milchstraße. Das Zentrum wird mit 21.25 angezeigt. Nun gut.

Um ein Uhr soll der Mond aufgehen. Bleiben fast vier Stunden Beobachtungszeit. In Deutschland hingegen nur knapp eine. Um 21:45 Uhr setzt die astronomische Dämmerung ein. Im Süden ziehen ab Mitternacht vereinzelt hohe Wolken entlang. Schon um Mitternacht bin ich durch. Müde, hungrig, durstig. Ich „spechtele“ aber weiter. Ich habe schon M8, M24 und B142 gemacht. Alles mit dem Feldstecher. Auch den Zirrusnebel. Beide Bögen sind erkennbar und das ohne Filter. Auch die Nebellandschaft um Pinkering‘s Dreieck kann indirekt erahnt werden. Der Himmel hält die 21.8, wobei ich irgendwie das Gefühl habe, das mein SQM-L mit den Jahren immer nur hohe Werte misst.

Der Mond 🌓 erlöst mich. Die Kameras machen noch Dunkelbilder. Und ich gehe ins Bett.

[[<<Zurück zum Artikel|Es geht wieder los...]] | [[Weiter zur nächsten Nacht >>|10. September 2020 - La Palma]] 

Der Himmel ist seifig. Man sieht auch ganz klar, dass ganz feine Zirren durchziehen. Ich hoffe, dass das Seeing heute besser ist. Sonst wird es eine Feldstechernacht. Mathias kann heute nicht kommen, sondern erst morgen. Am anderen Platz komme ich schließlich zur Dämmerung an. Dort steht ein Wagen, und auf einer Bank sitzt ein Mann. Ich frage, ob er etwas mit Astronomie macht. Tut er, er wird mit dem Feldstecher in der Nacht den Himmel beobachten. Sehr gut, wir verstehen uns gut und ich baue auf. Nach Einbruch der astronomischen Dämmerung mache ich den Maschinisten. Objekte werden eingestellt und der Kollege schaut. Ich denke er ist richtig beeindruckt. Hin und wieder schaut er noch durch seinen Feldstecher. Vor Mitternacht jedoch packt er alles zusammen, und fährt Richtung Heimat. Als ich noch frage, ob er am kommenden Wochenende, wo es ebenfalls klar werden soll, vorbeischaut, kommt eine prompte Verneinung. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/g9q5oX2Ru4" title="Untitled"><img src="https://live.staticflickr.com/65535/53180981223_b67bcb9ee3_k.jpg"/></a>

Der Himmel scheint mir visuell hier deutlich besser zu sein als am alten Platz. Als ich jedoch messe, muss ich mich korrigieren: SQM-L 21.32. Gar nicht gut. Aber Lichtverschmutzungsglocken sind von diesem Platz aus nicht zu erkennen.

Erstes Objekt ist M 101. Sieht wirklich gut aus, trotz des noch aufgehellten Himmels.

![[IC 1295]]

Und trotzdem wird die Nacht gut: Milchstraße von Horizont zu Horizont. Selbst die südliche Milchstraße ist relativ strukturiert zu erkennen. Ich finde es toll. Leider ist das Seeing kacke. So wie gestern halt. Ich halte mich heute wieder mit IC 1295 auf. Das Sternfeld wird vervollständigt. Ist bei der Waberei kein so einfaches Unterfangen. Natürlich steht das Objekt mittlerweile tief, so dass dies ein weiterer Nachteil bei der Beobachtung ist.

![[M 13]]

Schließlich bleibe ich beim M 13 hängen. Ich fertige eine Zeichnung an und werde natürlich auch heute nicht fertig. Das muss morgen finalisiert werden. Plötzlich höre ich eine Art bellen und knurren, aber irgendwie scheint es kein Hund und möglicherweise auch kein Fuchs zu sein. Ich kläffe zurück und das Theater beginnt. Zum Glück trollt sich das Tier davon, aber ich bin schon erstaunt, um nicht besser zu sagen erschreckt. 😦

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/qzSo2U46d2" title="Untitled"><img src="https://live.staticflickr.com/65535/53176834152_c487f2f2a4_k.jpg"/></a>

Den Rest der Nacht bleibt es ruhig, hin und wieder hört man in der Entfernung Techno Musik. Um 1:30 Uhr packe ich zusammen und warte auf den aufgehenden Mond. Die Kamera ist gezückt und es gelingt mir ein Stimmungsbild.

[[<< Zurück zur letzten Nacht|8. September 2023 - Lange Rhön]] | [[Weiter zur nächsten Nacht >>|10. September 2023 - Lange Rhön]]

Technischer Tiddler. Zum Katalog geht hier: [[PN - Abell Katalog]].

Objekt: Abell 12, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 418x, Filter:-, Bedingungen: SQM-L 21.7, Ort: Ort: [[Athos Star Campus]], Zeitpunkt: [[30.01.2022|30. Januar 2022 - Athos Star Campus]], Seeing 2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/b6aiyt" title="Abell 12"><img src="https://live.staticflickr.com/65535/52024638709_0e61d19a87_c.jpg" alt="Abell 12"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52024907300/in/datetaken/]]

Objekt: Abell 13, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180x, Filter: OIII, Bedingungen: SQM-L 21.76, Ort: Tivoli Astrofarm, Zeitpunkt: 11. & 12.05.2015 19:20 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18554791588" title="Abell13 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/291/18554791588_388e0691e9_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18716269566]]

Objekt: Abell 14, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 255x, Filter: OIII, Bedingungen: SQM-L 21.9, Ort: [[Athos Star Campus]], Zeitpunkt: [[20.09.2020|20. September 2020 - La Palma]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/toLKBK" title="Abell 14"><img src="https://live.staticflickr.com/65535/50479729657_7bb64f6492_c.jpg" alt="Abell 14"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50479581041/in/photostream/]]

Objekt: Abell 15, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: OIII, Bedingungen: SQM-L 21.82, Ort: Puerto de la Losa, Zeitpunkt: [[31.12.2016|31. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31807470860/in/datetaken/" title="Untitled"><img src="https://c5.staticflickr.com/1/762/31807470860_cd8a2c6f6b_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31807470750/in/datetaken/]]

Objekt: Abell 16, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 16.03.2015 22:30

<a href="https://www.flickr.com/photos/106029581@N02/16945998222" title="Abell16 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7617/16945998222_3bd4f8940a_z.jpg" alt="Abell16"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16947331585]]

Objekt: Abell 1656, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168 & 290x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Lange Rhön, Zeitpunkt:  04. bis 06.05.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/27419128703/in/datetaken/" title="Abell 1656"><img src="https://live.staticflickr.com/7298/27419128703_091e9c2054_b.jpg" alt="Abell 1656"></a>

[[Höhere Auflösung|https://www.flickr.com/photos/106029581@N02/27418909374/in/datetaken/]]

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27998385176/in/datetaken/]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/cdSjb8"><img src="https://c1.staticflickr.com/8/7562/28023999096_8c690484ce_n.jpg" style="float:left;  margin-right:15px; margin-bottom:15px;"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!!Visuelle Erkundung von Abell 1656 mit 14 Zoll

Häufig "Coma Galaxienhaufen" genannt, befindet sich dieser berühmte Galaxienhaufen im Sternbild "Haar der Berenike". Zu den weiteren Infos verweise ich auf [[Wikipedia|https://de.wikipedia.org/wiki/Coma-Galaxienhaufen]]. Galaxienhaufen gehören mit Sicherheit zu den interessantesten Beobachtungsobjekten überhaupt, die für visuelle Beobachter zugänglich sind, da sie entfernte und fundamentale Strukturen des Universums darstellen.

!!!Galaxienhaufen sind sehr weit entfernt

Der Haufen erstreckt sich ca. 5 Quadratgrad und ist recht einfach auffindbar. Er wird durch zwei recht helle Galaxien markiert, NGC 4884 sowie 4872. Sie bilden ein fast gleichseitiges Dreieck mit einem recht hellen Feldstern. Insgesamt fällt eine gewisse "Sternenleere" schon im Übersichtsokular auf.

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;">

![[Abell 1656]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{Abell 1656}}

</div>

Ich erinnere mich noch gut an die erste Beobachtung, wo außer diesen beiden Galaxien recht wenig zu sehen war. Mit 14 Zoll und bei 114 facher Vergrößerung sind Sie am besten beobachtbar. Soweit nichts ungewöhnliches, stellt diese Vergrößerung doch das Optimum bei der Galaxienbeobachtung an meinem Gerät da. Dennoch lohnt es sich höhere Vergrößerung einzusetzen. Zwar werden sowohl die beiden Galaxien, als auch in deren Umgebung befindliche schwächere Objekte schwieriger sichtbar, allerdings lassen sich nur bei höherer Vergrößerung diese kleinen Objekte erst aufspüren.

!!!Keine Angst vor höheren Vergrößerungen

So erscheinen erst bei 290 facher Vergrößerung und sehr geduldiger Beobachtung viele kleine schwache Galaxien in unmittelbarer Nachbarschaft um NGC 4872. Im Gegensatz dazu zeigt NGC 4884 - außer eine nordwestlich gelegene schwache Galaxie - keine Begleiter. Jedoch wird in den Außenbereichen bei 290 facher Vergrößerung eine sehr schwache spindelförmige Galaxie sichtbar. Kann nicht ständig gehalten werden, blitzt aber immer wieder sicher auf. Schwierig!

!!!Ohne Karten geht fast nichts

Eine POSS-Karte ist hilfreich, um sich zu orientieren und um die circa ein Dutzend schwachen Begleiter zu identifizieren. Ich habe hier bei die Ansicht in Sky Safari Pro genutzt. 

Ohne solche Hilfsmittel sind solche detaillierten Beobachtungen kaum möglich, da schwache Objekte nur sichtbar werden, wenn man die entsprechenden Sternfelder an den exakten Positionen intensiv beobachtet. Ich habe für die Beobachtung von Abell 1656 insgesamt drei Nächte [[04.-06.05.2016|4. Mai 2016 - Rhön]] mit jeweils circa zwei Stunden beobachtet, also sechs Stunden insgesamt. Die Bedingungen waren durchweg gut, das heißt es wurden SQM-L Werte von 21.6 bis über 21.8 erreicht. Beobachtet wurde in der Langen Rhön an unterschiedlichen Plätzen bei hervorragender Transparenz. Das in der Zeichnung beobachtete Feld beträgt circa ein halbes Quadratgrad, wie es sich etwa ein meinem 9 mm 120° Okular zeigt. 

Dabei liegt die Grenzgröße der erkennbaren Galaxien bei über 15 mag gemäß Sky Safari.
Die wichtigsten Voraussetzungen für eine erfolgreiche Beobachtung sind aus meiner Sicht: 1. Beste Transparenz, 2. Gutes Seeing, 3. Viel Geduld.

Am schwierigsten erschienen mir die schwachen Galaxien um NGC 4872. Hat man sie trotz hoher Vergrößerung aber erst einmal aufgespürt, sind sie indirekt immer wieder blickweise recht gut erkennbar. Wirft man nur einen kurzen Blick auf NGC 4872, wird man sie kaum bemerken.

!!!Eine Zeichnung hilft die Orientierung zu behalten

Um das gesehene in den richtigen Kontext zu rücken, ist aus meiner Sicht eine Zeichnung von Vorteil. So lässt sich der Haufen Stück für Stück erschließen und man erhält die Möglichkeit diesen berühmten Galaxienhaufen in seiner Gesamtheit zu erkennen.

In meiner Zeichnung habe ich ca. 40 Galaxien erkennen können. Vermutlich sind noch einige mehr möglich, wenn man noch mehr Zeit investiert. Aber irgendwann muss auch mal Schluss sein :)

Objekt: Abell 19, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114, Filter: [OIII], Bedingungen: SQM-L 21.65, Ort: Rhön, Zeitpunkt: 18.04.2015 22:30

<a href="https://www.flickr.com/photos/106029581@N02/17028704389" title="Abell19 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7613/17028704389_6481662af4_z.jpg" alt="Abell19"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/17213187982]]

Objekt: Abell 194, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.6, Ort: RDLM, Zeitpunkt: 04.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24630071899/in/datetaken/" title="Abell194"><img src="https://farm2.staticflickr.com/1483/24630071899_2f83de0c8e_o.jpg" alt="Abell194"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24702200860/in/datetaken/]]

Objekt: Abell 21, Teleskop: 14" Newton f4.6, Vergrößerung: 114 & 168x, Filter: OIII, Bedingungen: SQM-L 21.7, Ort: Trocha del Reventon, Zeitpunkt: 05.04.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/26833703380/in/datetaken/" title="Abell21 4"><img src="https://farm8.staticflickr.com/7272/26833703380_1592fc8775_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27013549772/in/datetaken/]]

Objekt: Abell 23, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.65, Ort: La Podona, Zeitpunkt: 14.03.2015 23:55:00

<a href="https://www.flickr.com/photos/106029581@N02/16954500292" title="Abell23 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7626/16954500292_dce7c215c2_z.jpg" alt="Abell23"></a>

[[Invertierte Darstelllung|https://www.flickr.com/photos/106029581@N02/16748455417]]

Objekt: Abell 23, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 fach, Filter: [OIII], Bedingungen: 21.74, Ort: Tivoli Astrofarm, Zeitpunkt: 13.05.2015 21:30 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18839898096" title="Abell23 by Olivito Astro, on Flickr"><img src="https://c2.staticflickr.com/4/3801/18839898096_9130b26652_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18839897886]]

Objekt: Abell 25, Teleskop: 25" f/4 Newton, 
Vergrößerung: 100x, Filter: OIII, Bedingungen: SQM-L 21.76, Ort: Tivoli Astrofarm, Zeitpunkt: 14.05.2015 21:05

<a href="https://www.flickr.com/photos/106029581@N02/18082269510" title="Abell25 by Olivito Astro, on Flickr" target="_blank"><img src="https://c1.staticflickr.com/9/8851/18082269510_ba6b62139f_z.jpg" alt="Abell25"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18270022175]]

Objekt: Abell 26, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180x, Filter: [OIII], Bedingungen: SQM-L 21.67, Ort: Tivoli Astrofarm, Zeitpunkt: 11.05.2015 20:55 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18299167395" title="Abell26 by Olivito Astro, on Flickr" target="_blank"><img src="https://c1.staticflickr.com/9/8761/18299167395_948f070b40_z.jpg" alt="Abell 26"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18300582571]]

Objekt: Abell 27, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 18.03.2015 02:00:00

<a href="https://www.flickr.com/photos/106029581@N02/16761245430" title="Abell27 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8691/16761245430_532e9c33db_z.jpg" alt="Abell27"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16947767861]]

Objekt: Abell 27, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180x, Filter: [OIII], Bedingungen: SQM-L 21.76, Ort: Tivoli Astrofarm, Zeitpunkt: 11.05.2015 21:50 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18306023901" title="Abell27 by Olivito Astro, on Flickr" target="_blank"><img src="https://c4.staticflickr.com/8/7759/18306023901_1a09796b7a_z.jpg" alt="Abell27"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18304587705]]

Objekt: Abell 29, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 56x & 114x, Filter: OIII, Bedingungen: SQM-L 21.73, Ort: RDLM, Zeitpunkt: 08.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24686226460/in/datetaken/" title="Abell29"><img src="https://farm2.staticflickr.com/1716/24686226460_7f2f227dbf_o.jpg"  alt="Abell29"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24686226050/in/datetaken/]]

Objekt: Abell 3, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 17.03.2015 20:50 

<a href="https://www.flickr.com/photos/106029581@N02/16927516031" title="Abell3 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8694/16927516031_5999d97e7c_z.jpg" alt="Abell3"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16902581216]]

Objekt: Abell 347, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Wasserkuppe, Zeitpunkt: [[29.11.2016|29. November 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31790208946/in/datetaken/" title="Abell 347"><img src="https://c3.staticflickr.com/1/518/31790208946_46d50f8961_b.jpg" alt="Abell 347"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/30983211204/in/datetaken/]]

Objekt: Abell 36, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: OIII, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[28.01.2017|28. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32385772454/" title="Untitled"><img src="https://c1.staticflickr.com/1/344/32385772454_fb27890483_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32386057174/in/photostream/]]

Objekt: Abell 38, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 fach, Filter: [OIII], Bedingungen: 21.74, Ort: Tivoli Astrofarm, Zeitpunkt: 14.05.2015 01:25 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18928302145" title="Abell38 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/480/18928302145_df0c0e5e06_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18902035236]]

Objekt: Abell 40, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180x, Filter: [OIII], Bedingungen: SQM-L 21.67, Ort: Tivoli Astrofarm, Zeitpunkt: 11.05.2015 23:35 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/17685664024" title="Abell40 by Olivito Astro, on Flickr" target="_blank"><img src="https://c4.staticflickr.com/8/7786/17685664024_b48868fce6_z.jpg" alt="Abell40"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18309724591]]

Objekt: Abell 42, Teleskop: 25" f/4 Newton, 
Vergrößerung: 114x, Filter: OIII, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[10.06.2019|09. Juni 2019 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/2Bg85f" title="Abell 42"><img src="https://live.staticflickr.com/65535/48074046503_94c2aa36b2_c.jpg" alt="Abell 42"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48074108392/in/photostream/]]

Objekt: Abell 47, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 fach, Filter: [OIII], Bedingungen: 21.67, Ort: Tivoli Astrofarm, Zeitpunkt: 17.05.2015 01:15 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18869177561" title="Abell47_6 by Olivito Astro, on Flickr"><img src="https://c2.staticflickr.com/6/5441/18869177561_af2aca5d93_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18245789153]]

Objekt: Abell 48, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 fach, Filter: [OIII], Bedingungen: SQM-L 21.65, Ort: Tivoli Astrofarm, Zeitpunkt: 17.05.2015 03:25 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18957639485" title="Abell48 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/350/18957639485_e51b06ef49_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18957768365]]

Objekt: Abell 4881, ''24" Bino- & 25" Dobson'', Vergrößerung: 154x, 278x & 454x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[02.06.2019|02. Juni 2019 - Tivoli Astrofarm]] & [[08.06.2021|08. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/TcrjQ3" title="Abell 4881"><img src="https://live.staticflickr.com/65535/51289465649_c818efa4e0_k.jpg" alt="Abell 4881"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51288915973/in/photostream/]]

Objekt: Abell 539, Teleskop: __21" f/3.8__ & 14" f/4.6 Newton, Vergrößerung: 168x & __231x__, Filter:-, Ort: Campos de Hernan Perea & [[Lange Rhön|Rhön]], Zeitpunkt: [[24.12.2022|24. Dezember 2022 - Campos de Hernan Perea]] & [[13. & 14. Februar 2023|14. Februar 2023 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/19459NJR28" title="Abell 539"><img src="https://live.staticflickr.com/65535/52699671446_4b15e1e168_h.jpg" alt="Abell 539"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52699152072/in/photostream/]]

Objekt: Abell 56, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 56 & 114 fach, Filter: [OIII], Bedingungen: Bortle 1-2, Ort: PDA, Zeitpunkt: 19.08.2015 03:30 Uhr

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/20653663404/in/datetaken/" title="Abell56"><img src="https://farm6.staticflickr.com/5780/20653663404_97f70af85b_b.jpg" alt="Abell56"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/21250110016/in/datetaken/]]

Objekt: Abell 56, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 56 & 114 fach, Filter: [OIII], Bedingungen: Bortle 1-2, Ort: PDA, Zeitpunkt: 19.08.2015 01:30 Uhr

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/21136143936/in/datetaken/" title="Abell59"><img src="https://farm6.staticflickr.com/5624/21136143936_03ef205516_b.jpg" alt="Abell59"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/21136143796/in/datetaken/]]

Objekt: Abell 6, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56 & 114x, Filter: OIII, Bedingungen: SQM-L 21.73, Ort: PDA, Zeitpunkt:  2. & 3. & 04.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28433852173/in/datetaken/" title="Abell 6"><img src="https://c6.staticflickr.com/9/8383/28433852173_89939af538_o.jpg" alt="Abell 6"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29018717746/in/datetaken/]]

Objekt: Abell 69, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 fach, Filter: [OIII], Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkt: 19.05.2015 04:00 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18956341992" title="Abell68 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/509/18956341992_a3eb342b27_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18961714005]]

Objekt: Abell 69, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 fach, Filter: [OIII], Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkt: 19.05.2015 04:50 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18337871644" title="Abell69_2 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/424/18337871644_9b0f51b353_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18772904450]]

Objekt: Abell 7, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 16.03.2015 23:05

<a href="https://www.flickr.com/photos/106029581@N02/16757824247" title="Abell7 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7644/16757824247_2b67e05004_z.jpg" alt="Abell7"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16777738320]]

Objekt: Abell 7, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 fach, Filter: OIII, Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkt: 16. & 18.05.2015 18:30 - 19:10 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18578260523" title="Abell7_2 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/475/18578260523_75ddb6c33c_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/19202487551]]

Objekt: Abell 70, Teleskop: 25" f/4 Newton, 
Vergrößerung: 280-320 fach, Filter: -, Bedingungen: 21.67, Ort: Tivoli Astrofarm, Zeitpunkt: 24.05.2015 04:00 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18582498618" title="Abell70 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/9/8842/18582498618_9382808e8f_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18584162179]]

Objekt: Abell 72, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180-280x, Filter: [OIII], Bedingungen: SQM-L 21.67, Ort: Tivoli Astrofarm, Zeitpunkt: 20.05.2015 03:55 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/19011224150" title="Abell72_2 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/354/19011224150_8d26949524_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18576354874]]

Objekt: Abell 73, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.4 Z, Ort: RDLM, Zeitpunkt: 02.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24251397293/in/datetaken/" title="Abell73"><img src="https://farm2.staticflickr.com/1452/24251397293_97c63ee669_o.jpg" alt="Abell73"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24878249285/in/datetaken/]]

Objekt: Abell 75 = NGC 7076, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.5, Ort: Wasserkuppe, Zeitpunkt: [[28.11.2016|28. November 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31765826186/in/datetaken-public/" title="Abell 75"><img src="https://c3.staticflickr.com/1/744/31765826186_550b0a3388_b.jpg" alt="Abell 75"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31430419580/in/datetaken-public/]]

Objekt: Abell 77, Teleskop: 20" f/3.8 Newton, Vergrößerung: 231x, Filter: UHC, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[12.12.2023|12. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/we76sX3762" title="Abell 77"><img src="https://live.staticflickr.com/65535/53506285215_c107fcf91f_h.jpg" alt="Abell 77"/></a>

Objekt: Abell 8, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.55, Ort: La Podona, Zeitpunkt: 14.03.2015 21:55:00

<a href="https://www.flickr.com/photos/106029581@N02/16955006061" title="Abell8 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8686/16955006061_c868a3cae4_z.jpg" alt="Abell8"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16955006011]]

Objekt: Abell 80, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114, Filter: OIII, Bedingungen:-, Ort: RDLM, Zeitpunkt: 01.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24702451649/in/datetaken/" title="Abell80_4"><img src="https://farm2.staticflickr.com/1483/24702451649_0fb91a05fb_o.jpg" alt="Abell80_4"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24774490520/in/datetaken/]]

Objekt: Abell 83, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter: OIII, Bedingungen: SQM-L 21.72, Ort: RDLM, Zeitpunkt: 09.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24921914041/in/datetaken/" title="Abell83"><img src="https://farm2.staticflickr.com/1640/24921914041_6384e056dd_o.jpg" alt="Abell83"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24647598329/in/datetaken/]]

Objekt: Abell 86, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter: OIII, Bedingungen: SQM-L 21.6, Ort: RDLM, Zeitpunkt: 10.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24369139754/in/datetaken/" title="Abell86"><img src="https://farm2.staticflickr.com/1661/24369139754_720bf5787d_o.jpg" alt="Abell86"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24973427036/in/datetaken/]]

![[Index - Abell Galaxienhaufen]]

[[Katalog|https://de.wikipedia.org/wiki/Abell-Katalog]] mit über 4000 Galaxienhaufen von George Ogden Abell. 

<div class="tc-link-info">

<$list filter="[tag[Zeichnung]] +[tag[Abell Galaxienhaufen]]">

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!<$link><$view field="title"/></$link>

<div class="tc-subtitle">Posted <$view field="created" format="relativedate"/></div>

<$transclude/>

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Das Video zeigt die Abenddämmerung an der Caldera de Taburiente in der Nähe des Miradors de los Andenes. Der Erdschatten geht auf...

<iframe width="560" height="315" src="https://www.youtube.com/embed/AdMtku0NgAU" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Das Video zeigt die Abenddämmerung auf Tivoli. 

<iframe src="https://www.flickr.com/photos/106029581@N02/18265695338/in/datetaken/player/" width="640" height="360" frameborder="0" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe>

Hier geht es auch zum Video: https://www.flickr.com/photos/106029581@N02/18265695338

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/30013431572/in/datetaken-public/" title="Ohne Titel"><img src="https://farm6.staticflickr.com/5130/30013431572_3ea3c43c32_h.jpg"></a></div>

Auf dieser Seite geht es um Astronomie. Wie viele andere Hobbyastronomen beschäftigt mich das Thema schon seit der Kindheit. Begonnen habe ich mit Beobachtungen, als ich mir ein Jenoptem als Jugendlicher (10x50 Feldstecher) zugelegt hatte und damit erste Beobachtungen machte. Es folgte eine Pause von fast zehn Jahren bis ich wieder im Jahr 2000 begann. Ich beobachtete mit einem Kaufhausteleskop, einem katadioptrischen Newton von Quelle, den ich einem ehemaligen Schulfreund günstig abkaufen konnte. Nach dem beruflichen Einstieg erstand ich einen Pentax SDHF 75, den ich noch heute habe und hauptsächlich zum fotografieren einsetzte. Später kam ein TMB 100/800 dazu. Ich wechselte von der Beobachtung zur Fotografie und schließlich wieder zurück. Während die Kameras, bestückt noch mit fotografischen Film liefen, beobachtete ich oft den Sternhimmel, entweder mit Feldstecher oder mit bloßem Auge. Nach dem Technologiewechsel hin zu digitalen Kameras gab ich die Fotografie auf und kam wieder zurück zur visuellen Beobachtung. Ich kaufte mir einen [[14 Zoll Newton in Dobson-Bauweise|Sumerian Alkaid 14 Zoll]]. Nun ging es richtig los! Ich nutze das Gerät als Reisedobson, um unter besten Bedingungen, d.h. dunklem und transparentem Himmel zu beobachten. Dabei verreise ich gerne nach [[Spanien|Spanisches Festland]] und nach [[Namibia|Namibia Mai 2017]].

!21 Zoll Dobson 

Seit Dezember 2021 verfüge ich mittlerweile über ein [[21 Zoll Dobson|Neues Teleskop oder was?]]. Nun bin ich nicht mehr auf große Teleskope von Dritten angewiesen. Geplant ist, mit diesem Teleskop stärker zu beobachten und den Fokus auf Beobachtung in der Rhön zu legen.

!! Motivation

Letztlich handelt es sich bei meiner Seite um ein Tagebuch meiner astronomischen Erlebnisse und Beobachtungen. Dieses könnte ich natürlich einfach für mich führen und damit gut, aber ich möchte sie auch anderen Interessierten zur Verfügung stellen. Mir ist klar, dass nicht alles für jeden interessant ist. Aber darum geht es mir nicht.

!!Layout

Das Layout der Seite und die Auflösung der Bilder ist optimiert für Tablets, insbesondere für iPads, welches ich selbst nutze. 

Auf meiner Seite poste ich Beobachtungsberichte und Zeichnungen. Aktuelle News gibt es auf [[Twitter|https://twitter.com/EstelarDe]].

!!Datenschutz

Diese Seite ist ein [[TiddlyWiki|http://www.tiddlywiki.com]]. Dabei handelt es sich um eine ''javascriptfähige Datei'', die im Browser ausgeführt wird. Einzig Fotos werden von [[meinem Flickr Account|https://www.flickr.com/photos/106029581@N02/]] nachgeladen. Videos von flickr bzw. [[Vimeo|https://www.vimeo.com]] und mittlerweile auch Youtube. Die Seite hat aktuell eine Größe von ca. 8 MB.

!!Español 

En mi página se puede leer artículos sobre mis excursiones astronómicas y sobre todo mis dibujos sobre objetos astronómicos. Soy un aficionado de la astronomía desde yo era muy pequeño y después de una pausa de varios años empecé con observaciones en el año 2000. Me había comprado de un amigo del colegio un Newton catadioptrico, un típico instrumento que se podía comprar en aquellos tiempos en tiendas como El Corte Inglés. Con mi primer dinero compre un refractario de tres pulgadas und Pentax SDHF 75. Más tarde también un TMB 100/800. Fotografiaba el cielo nocturno de medio y gran campo. Finalmente deje la astrofotografía y empezaba de observar el cielo profundo con un [[Newton de 14 pulgadas|Sumerian Alkaid 14 Zoll]]. Viajo permanentemente a España ([[Península|Spanisches Festland]] y [[La Palma]]) para disfrutar de cielos excelentes casi únicos en Europa que tiene relativamente poca polución iluminica. En los ultimos años iba también a [[Namibia|Namibia Mai 2017]].

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/13826873473" title="P1020978"><img src="https://live.staticflickr.com/7320/13826873473_39eee2d4c2_k.jpg" alt="P1020978"></a>

!English

This Homepage is dedicated to observation of deep sky objects. Like many others I started interesting in astronomy when I was a child. As a teenager I purchased a famous Jenoptem 10x50 binocular and observed the moon. Then I paused for about 10 years and started in 2000 once again but at that time with astrofotography on good old films using heavy medium format cameras. I purchased a Pentax SDHF 75, a small three inch APO lens telescope. Still an excellent scope for fotography and wide field observations. In 2004 I owned a four inch LOSZ APO f/8 from TMB. I was used to take photos of the night sky, often wide fields. Finally I decided to change to visual observation and purchased an 14 inch [[Dobsonian|Sumerian Alkaid 14 Zoll]] using it as a traveling scope. I travel a lot to observe under really dark skies. Mainly to Spain because they have the best night sky in Europe and often good weather too. Since 2015 I have started to travel to Namibia also.

!21" Dobson 

In December 2021 I owned a second hand 21 inch Dobson. A very tough decision but today I am very happy with that. The telescopes features a 21 inch self made primary mirror with 25mm thickness. It's construction allows monocular observations using a coma corrector and even a bino without changing truss poles. Transportation is ideal and could be done by one person itself.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7EK691" title="Untitled"><img src="https://live.staticflickr.com/65535/51970684484_9feacd6064_k.jpg"></a>

!Tiddlywiki

I use [[TiddlyWiki|http://www.tiddlywiki.com]] as a publishing platform. It requires ~JavaScript and runs in any Browser, on desktop computers, smartphones and tablets. The page is loaded entirely as a HTML-file. It's current size is less then 6 MB. There is no tracking by cookies and things like that. Only photos are loaded from [[my Flickr Account|https://www.flickr.com/photos/106029581@N02/]]. 

Ob das was bringt? Und was bringt es genau? In Deutschland sind wir zum Glück was den Einsatz von Licht angeht noch nicht von allen Geistern verlassen. Deutschland gehört zu einer der am dichtesten besiedelten Gebiete in Europa. Wenn man sich die Lichtverschmutzungskarten anschaut, erkennt man, dass bei uns die Großstädte z.T. weniger stark beleuchtet sind als andernorts. In anderen Ländern werden Autobahnen die ganze Nacht über von Straßenlaternen beleuchtet. Zum Glück gibt es sowas bei uns (hoffentlich auch in Zukunft) nicht.

!!Im Frühling sind die Bedingungen besser

In einem der [[letzten Artikel|Lichtverschmutzung am Beispiel der Wasserkuppe]] habe ich bereits über die Lichtverschmutzung am Beispiel der Wasserkuppe berichtet. Jetzt ist die Zeit der besten Nächte, denn im Frühling ist die Transparenz des Himmels häufig viel besser als im Herbst oder Winter. Dieses Jahr erlebten wir zum Märzneumond einen Kälteeinbruch mit sehr transparentem und klaren Himmel.

<<<.tc-big-quote
<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3tdsz2" title="Untitled"><img src="https://live.staticflickr.com/65535/49712109852_08b56ad567_k.jpg"></a>

Aufnahmen vom 24.3.2020 in der Langen Rhön. Aufnahmezeitpunkt 22:30 Uhr bei der ersten und circa 01:00 Uhr bei der letzten Aufnahme. Die SQM–L Werte stiegen kontinuierlich an. Visuell war dies auch wahrnehmbar, insbesondere in Horizontnähe. Jeweils mit gleichen Aufnahmeparametern aufgenommen. Gemessen an der dunkelsten Stelle, im Sternenviereck des großen Wagen. Um Polaris konnte ich sogar 21.6 messen. Am Horizont brachen die Werte allerdings – wie man erwarten würde – auf Werte unter 21 ein.
<<<

So beschloss ich schließlich am [[24. März|24. März 2020 - Coronanacht in der Langen Rhön]] einen unweit der Wasserkuppe befindlichen Beobachtungsplatz, an dem ich seit Jahren nicht mehr war, einen Besuch abzustatten.

Bereits kurz nach Einsetzen der astronomischen Dämmerung waren die guten Bedingungen direkt sichtbar. So konnte ich sogar das Abendzodiakallicht erkennen. Gegen 22:30 Uhr schließlich machte ich die erste Messung mit meinem SQM-L: 21.7. Dabei handelte es sich um den Mittelwert aus drei Messungen. Ich beschloss daher auch, eine All Sky Aufnahme des Nachthimmels zu unterschiedlichen Zeiten zu machen, um die Entwicklung in dieser Nacht zu dokumentieren.

Auf den Aufnahmen sind die außergewöhnlichen Bedingungen gut zu erkennen. Diese gibt es eigentlich nur im Frühjahr, wenn die ersten Hochdruckgebiete trockene und klare Luft heranführen. Von Spanien kenne ich diese Bedingungen sehr gut. Im Gegensatz zu Deutschland sind diese auch im Winter an der Tagesordnung. Bei uns hingegen bisher die Ausnahme, wenn man vom Frühling absieht. Ob dies weiterhin so bleibt oder sich durch den Klimawandel ändert bleibt abzuwarten. 

!!Der Himmel wird im Laufe der Nacht immer dunkler

Auf den Aufnahmen kann man gut erkennen, wie sich der Nachthimmel stetig verbessert. Insbesondere werden auch die am Horizont deutlich erkennbaren Lichtdome kleiner und ihre Intensität geringer. Die Lichtbrücke ist auf allen Aufnahmen schwach erkennbar, was aber wiederum visuell nicht zu erkennen war und erfahrungsgemäß auch nicht ist. Sogar der Gegenschein ist tief bzw. knapp über dem Horizont im Sternbild Jungfrau (über dem Raben) sichtbar.

!!Die Abschaltung bringt was

Das Abschalten der Beleuchtung während der Nacht (meistens erst ab Mitternacht) bringt also tatsächlich was. Mehr als 0.2 SQM-L Einheiten offenbar aber nicht. Wichtiger ist, dass die Transparenz gut ist. Dann werden aus dunklen sehr dunkle Nächte.

Das Video zeigt Airglow & Wolken auf Tivoli. Die Kamera ist dabei auf den Südpol ausgerichtet.

<iframe width="560" height="315" src="https://www.youtube.com/embed/soQVbCVIJlQ" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>

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!!''Weitere Astrofotos auf Flickr... [[>>|https://www.flickr.com/photos/106029581@N02/albums/72157713129266403]]''

{{/Eine sehr gute Aprilnacht}}

{{/Endlich wieder Frühling!}}

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{{/Windiger & kalter Jahresauftakt in der Rhön}}

{{/Endlich wieder La Palma}}

{{/Oktoberneumond in Stumpi}}

{{/Rhön im September 2023}}

{{/Rhön im August 2023}}

{{/Juni mal anders}}

{{/Ostersonntag in der Rhön}}

{{/La Palma und Namibia in der Rhön}}

{{/Weihnachten im Pinar de Araceli}}

{{/Der September ist wieder da}}

{{/Eine weitere Augustnacht in der Langen Rhön}}

{{/Eine Augustnacht in der Langen Rhön}}

{{/Namibia Juni 2022}}

{{/Vier richtig gute Frühlingsnächte}}

{{/Transparente Nächte im März}}

{{/Frühjahrsauftakt in der Rhön}}

{{/Athos im Januar 2022}}

{{/Oktober 2021}}

{{/September 2021}}

{{/Sommer & Herbst 2021}}

{{/Namibia Juni 2021}}

{{/April 2021}}

{{/März 2021}}

{{/Winterwunder in der Rhön}}

{{/Eine kurze Novembernacht in der Rhön...}}

{{/Es geht wieder los...}}

{{/Eine Julinacht in der Rhön}}

{{/Ein Komet}}

{{/Eine Mainacht}}

{{/Frühjahr 2020}}

{{/Coronanacht}}

{{/La Palma Januar 2020}}

{{/Weihnachten 2019}}

{{/Wasserkuppe im Herbst 2019}}

{{/Namibia auf Tivoli 2019}}

{{/Es muss nicht immer der Roque sein}}

{{/Zwischen den Jahren auf dem Alto Tajo}}

!!''Weitere Beobachtungsberichte... [[>>|Berichte]]''

<div class="tc-link-info">

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!!''Weitere Zeichnungen... [[>>|Letzten 60 Zeichnungen]]''

!''Rügen - Dranske-Nonnevitz''

{{Rügen - Dranske-Nonnevitz}}

!![[Alto Tajo]]

__Bedingungen:__ Klar nach abziehenden Zirren, Aufnahme nach Dämmerung, horizontnahe Lichtverschmutzung (im SO Valencia und Teruel, Westen Madrid, NO Zaragossa), Norden bei 1 Uhr.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46918987501/in/dateposted-public/" title="Alto Tajo Fisheye"><img src="https://farm5.staticflickr.com/4858/46918987501_d2e86ec608_h.jpg" alt="Alto Tajo Fisheye"></a>

!!Gipfel des [[Roque de los Muchachos (RDLM)]] 

__Bedingungen:__ Klar mit niedriger Luftfeuchte, ''komplette Insel unter Wolken''. Norden ist oben. Aufnahme vom [[25.01.2019|25. Januar 2020 - La Palma]] um 21 UT (Ortszeit), SQM-L zwischen 21.7 und 21.9 im großen Bären.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/32738g" title="DSC03706_all_sky_roque_25sec_zuschnitt"><img src="https://live.staticflickr.com/65535/49551071933_050383d10d_k.jpg"></a>

!![[La Podona]]

__Bedingungen:__ Klar mit hoher Luftfeuchtigkeit, Aufnahme kurz nach Einsetzen der astronomischen Dämmerung aufgenommen. Norden ist oben. Im Süden leichte Lichtverschmutzung von Los Llanos zu erkennen.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/NZEPZ4" title="Untitled"><img src="https://live.staticflickr.com/7885/40631371093_2ec06522fa_k.jpg"></a>

!!Lange Rhön

__Bedingungen:__ Klar mit geringer Luftfeuchtigkeit, Aufnahme nach Mitternacht. Norden ist oben. Aufnahme vom [[11.04.2020 um 0:15 Uhr|11. April 2020 - Ostersamstag]]. SQM-L ca. 21.8

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Za57b0" title="Lange Rhön 11.04.2020 SQM-L 21.8"><img src="https://live.staticflickr.com/65535/49762516883_caf45d558b_k.jpg" alt="Lange Rhön 11.04.2020 SQM-L 21.8"></a>

!![[Pinar de Araceli (PDA)]]

__Bedingungen:__ gute Transparenz, Aufnahme nach Monduntergang. Norden ist oben. Aufnahme vom [[28.12.2019 um 20:48 Uhr|28. Dezember 2019 - Pinar de Araceli]]. SQM-L ca. 21.7 im Pegasus Viereck.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/T97171" title="PDA am 28.12.2019 um 20:48 MESZ"><img src="https://live.staticflickr.com/65535/49321631251_5fd079750c_k.jpg" alt="PDA am 28.12.2019 um 20:48 MESZ"></a>

!![[Pinar de Araceli (PDA)]]

__Bedingungen:__ schlechte Transparenz durch Zirren, Aufnahme nach Monduntergang. Norden ist oben. Aufnahme vom [[27.12.2019 um 20:10 MEZ Uhr|27. Dezember 2019 - Pinar de Araceli]]. SQM-L ca. 21.45 - 21.5.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/pNTND1" title="Pinar de Araceli - Zirren"><img src="https://live.staticflickr.com/65535/49321058183_da173a6db7_k.jpg" alt="Pinar de Araceli - Zirren"></a>

!![[Roque de los Muchachos (RDLM)]]

__Bedingungen:__ Klar mit hoher Luftfeuchtigkeit, ''komplette Insel unter Wolken'', Aufnahme nach Mitternacht. Norden ist oben. Aufnahme vom [[04.04.2019|04. April 2019 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/p97Kd5" title="Roque de los Muchachos gegen Mitternacht"><img src="https://live.staticflickr.com/65535/48509274896_d42b77604f_k.jpg" alt="Roque de los Muchachos gegen Mitternacht"></a>

!![[Roque de los Muchachos (RDLM)]]

__Bedingungen:__ Klar mit hoher Luftfeuchtigkeit, ''komplette Insel unter Wolken'', Aufnahme kurz nach Einsetzen der astronomischen Dämmerung aufgenommen. Norden ist oben. Aufnahme vom [[04.04.2019|04. April 2019 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48222649021/in/dateposted/" title="Roque de los Muchachos 04.04.2016 Insel unter Wolken"><img src="https://live.staticflickr.com/65535/48222649021_a10645e81d_k.jpg" alt="Roque de los Muchachos 04.04.2016 Insel unter Wolken"></a>

!![[Roque de los Muchachos (RDLM)]]

__Bedingungen:__ Klar mit hoher Luftfeuchtigkeit, Aufnahme kurz nach Einsetzen der astronomischen Dämmerung aufgenommen. Norden ist oben. Lichtverschmutzung im Südosten in Horizontnähe (links unten). Aufnahme vom [[06.04.2019|06. April 2019 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33760105598/in/dateposted/" title="Roque de los Muchachos 2200m üNN"><img src="https://live.staticflickr.com/65535/33760105598_2410dbd795_k.jpg" alt="Roque de los Muchachos 2200m üNN"></a>

!!Schwarzes Moor

__Bedingungen:__ Klar mit geringer Luftfeuchtigkeit, Aufnahme nach Mitternacht. Norden ist oben. Aufnahme vom [[25.03.2020 um 01:00 Uhr|24. März 2020 - Coronanacht in der Langen Rhön]]. SQM-L ca. 21.9

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6179xo" title="Untitled"><img src="https://live.staticflickr.com/65535/49696878356_80225c2f62_k.jpg"  alt="Untitled"></a>

!![[Tivoli Astrofarm]]

__Bedingungen:__ Klar mit niedriger Luftfeuchtigkeit, Aufnahme kurz nach Einsetzen der astronomischen Dämmerung abends aufgenommen. Norden ist oben. [[04.06.2919|04. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/aoe6i4" title="DSC07301"><img src="https://live.staticflickr.com/65535/48153516951_873ff2ffc0_k.jpg" alt="DSC07301"></a>

!![[Tivoli Astrofarm]]

__Bedingungen:__ Klar mit niedriger Luftfeuchtigkeit, Aufnahme kurz nach Einsetzen der astronomischen Dämmerung abends aufgenommen. Norden ist oben. Wolken am Horizont. Sind pechschwarz.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/L6o14u" title="Untitled"><img src="https://live.staticflickr.com/65535/48146175136_f65b825147_k.jpg"></a>

!!Wasserkuppe

__Bedingungen:__ Klar mit hoher Luftfeuchtigkeit,  Aufnahme nach Mitternacht. Norden ist oben. Aufnahme vom [[31.10.2019 um 01:48 Uhr|Wasserkuppe im Herbst 2019]]. SQM-L ca. 21.4

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/73a7Mr" title="Wasserkuppe am 31.10.2018"><img src="https://live.staticflickr.com/65535/48997322822_ad659d5bc8_k.jpg" alt="Wasserkuppe am 31.10.2018"></a>

!!Lange Rhön

__Bedingungen:__ sehr gute Transparenz, Norden ist oben. Aufnahme vom [[12.04.2020 gegen 0:00 Uhr|11. April 2020 - Ostersamstag]]. SQM-L ca. 21.8 im Zenit (=Sternbild Großer Bär). Belichtungszeit 6 min mit Sony A6300 (nicht modifiziert) und Meike 2/6.5mm 190° Fisheye @f5.6. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9EVp28" title="Rhön 12.04.2020"><img src="https://live.staticflickr.com/65535/49763443498_9c93d93427_k.jpg" alt="Rhön 12.04.2020"></a>

!!Lange [[Rhön]]

__Bedingungen:__ gute Transparenz, Norden ist oben. Aufnahme vom [[02.03.2021 gegen 20:00 Uhr|2. März 2021 - Lange Rhön]]. SQM-L ca. 21.4 im Zenit (=Sternbild Großer Bär). Belichtungszeit 8 min mit Sony A6000 (astromodifiziert) und Meike 2/6.5mm 190° Fisheye @f8. 

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50999266916/in/dateposted-public/" title="Epic night at Lange Rhön with very good and dark sky."><img src="https://live.staticflickr.com/65535/50999266916_117d6d1580_k.jpg" alt="Epic night at Lange Rhön with very good and dark sky."></a>

!!Lange [[Rhön]]

__Bedingungen:__ sehr gute Transparenz, Norden ist oben. Aufnahme vom [[11.04.2020 gegen 22:30 Uhr|11. April 2020 - Ostersamstag]]. SQM-L ca. 21.7 im Zenit. Belichtungszeit 336 sec (ca. 5.5 min) bei 800 ASA. STC-Multispectra Filter. Astromodifizierte  Sony A6000. Objektiv Meike 2/6.5mm @f5.6.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1xT44q" title="All Sky Lange Rhön"><img src="https://live.staticflickr.com/65535/49768838642_e41508c5dc_k.jpg" alt="All Sky Lange Rhön"></a>

!!Thüringer Hütte

__Bedingungen:__ sehr gute Transparenz, Norden ist oben. Aufnahme vom [[22.07.2020 gegen 02:30Uhr|21. Juli 2020 - Lange Rhön]]. SQM-L ca. 21.65 in Zenitnähe. Belichtungszeit 900 sec (ca. 15min) bei 800 ASA. STC-Multispectra Filter. Astromodifizierte  Sony A6000. Objektiv Meike 2/6.5mm @f8.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1hdH63" title="Untitled"><img src="https://live.staticflickr.com/65535/50170846566_388ae11161_k.jpg"></a>

!![[Roque de los Muchachos (RDLM)]]

__Bedingungen:__ gute Transparenz, Aufnahme nach Monduntergang. Norden ist oben. Aufnahme vom [[19.01.2020 um 21:48 Uhr|19. Januar 2020 - La Palma]]. SQM-L ca. 22.0 im Sternbild Großer Bär.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/93RRSL" title="Untitled"><img src="https://live.staticflickr.com/65535/49454216957_3055b7abd7_h.jpg"></a>

!!Stumpertenrod

__Bedingungen:__ sehr gute Transparenz, Norden ist oben. Aufnahme vom [[07.03.2022 gegen 03 Uhr|7. März 2022 - Stumpertenrod]]. SQM-L ca. 21.8 im Zenit (=Sternbild Großer Bär). Belichtungszeit 12 min mit Sony A6300 (nicht modifiziert) und Meike 2/6.5mm 190° Fisheye @f8. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ra81GR" title="Stumpertenrod"><img src="https://live.staticflickr.com/65535/51925912263_acd53834f3_k.jpg" alt="Stumpertenrod"></a>

!![[Tivoli Astrofarm]]

__Bedingungen:__ Klar mit niedriger Luftfeuchtigkeit, Einzelaufnahme gegen Mitternacht. Aufnahme mit Meike 2/6.5mm  190° Fisheye abgeblendet auf f8. Belichtungszeit 548 sec bei 800 ASA mit Sony A6000. Bearbeiteter JPEG Abzug mit automatischem Dunkelbildabzug. Nachgeführt mit Omegon Startracker.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/5Q86EP" title="Untitled"><img src="https://live.staticflickr.com/65535/48776238281_edafdbd8a0_h.jpg"></a>

!!Lange [[Rhön]]

__Bedingungen:__ sehr gute Transparenz, Norden ist oben. Aufnahme vom [[19.04.2020 gegen 04 Uhr|19. April 2020 - Thüringer Hütte]]. SQM-L ca. 21.8 im Zenit (=Sternbild Großer Bär). Belichtungszeit 6 min mit Sony A6300 (nicht modifiziert) und Meike 2/6.5mm 190° Fisheye @f5.6. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/rbSC48" title="Untitled"><img src="https://live.staticflickr.com/65535/49923944407_83e40dd54f_k.jpg"></a>

!!Thüringer Hütte

__Bedingungen:__ sehr gute Transparenz, Norden ist oben. Aufnahme vom [[20.04.2020 gegen 04 Uhr|19. April 2020 - Thüringer Hütte]]. SQM-L ca. 21.9 im Zenit. Belichtungszeit 735 sec (ca. 12 min) bei 800 ASA. STC-Multispectra Filter. Astromodifizierte  Sony A6000. Objektiv Meike 2/6.5mm @f8.

<a data-flickr-embed="true"href="https://www.flickr.com/gp/106029581@N02/s08wYg" title="Sommermilchstraße über der Thüringer Hütte am 20.04.2020"><img src="https://live.staticflickr.com/65535/50100116868_632b143b75_k.jpg" alt="Sommermilchstraße über der Thüringer Hütte am 20.04.2020"></a>

!![[Tivoli Astrofarm]]

__Bedingungen:__ Klar mit niedriger Luftfeuchtigkeit, Aufnahme kurz nach Einsetzen der astronomischen Dämmerung morgens aufgenommen. Norden ist oben. Grünes und rotes Airglow im Norden und Süden.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48087578388/in/dateposted/" title="Morning Glory"><img src="https://live.staticflickr.com/65535/48087578388_e566f6cd89_k.jpg" alt="Morning Glory"></a>

!![[Pinar de Araceli (PDA)]]

__Bedingungen:__ Klar mit niedriger Luftfeuchtigkeit, Einzelaufnahme gegen Mitternacht. Aufnahme mit Meike 2/6.5mm 190° Fisheye abgeblendet auf f8. Belichtungszeit 548 sec bei 800 ASA mit Sony A6000. Selektiv bearbeiteter JPEG Abzug mit automatischem Dunkelbildabzug. Nachgeführt mit Omegon Startracker.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2N6186" title="All Sky Pinar de Araceli"><img src="https://live.staticflickr.com/65535/49326471882_31b0acd751_k.jpg" alt="All Sky Pinar de Araceli"></a>

!![[Alto Tajo]]

__Bedingungen:__ Klar nach abziehenden Zirren, Aufnahme um Mitternacht, horizontnahe Lichtverschmutzung (im SO Valencia und Teruel, Westen Madrid, NO Zaragossa)

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46755208461/in/dateposted-public/"><img src="https://farm5.staticflickr.com/4869/46755208461_03173836be_k.jpg"></a>

!![[Bonilla - Mirador de las Estrellas]]


__ Bedingungen:__ Klar, Aufnahme gegen Mitternacht, starke horizontnahe Lichtverschmutzung (Madrid im Westen und Cuenca im Osten)

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28785037015/in/datetaken/" title="Bonilla_stitch_neu_4000_superb_bearbeited"><img src="https://live.staticflickr.com/8716/28785037015_20915e14cf_b.jpg"></a>

!![[Roque de los Muchachos|Roque de los Muchachos (RDLM)]]

__ Bedingungen:__ Klar, Aufnahme am [[25.01.2020|25. Januar 2020 - La Palma]] zur astronomischen Dämmerung gegen 20 UT, ca. 140 Aufnahmen a 10 sec bei 6400 ASA im RAW-Format aufgenommen. Kamera Sony A6300 (APS-C). Objektiv Sigma 16mm 1.4 @f1.7. Preprocessing ~DeepSkyStacker. Zusammengesetzt in MS ICE. Finale Bearbeitung in PS CS2, iOS LR.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/J14Pt2" title="Roque de los Muchachos"><img src="https://live.staticflickr.com/65535/49547911917_5fa997780d_k.jpg" alt="Roque de los Muchachos"></a>

!![[Pinar de Araceli (PDA)]]

__ Bedingungen:__ Klar aber sehr feucht, Aufnahme zweite Nachthälfte

<a data-flickr-embed="true" data-header="false" data-footer="true" data-context="false"  href="https://www.flickr.com/photos/106029581@N02/20901994355/in/datetaken/" title="All Sky Panorama - Pinar de Araceli"><img src="https://farm1.staticflickr.com/701/20901994355_9360afa01d_z.jpg" alt="All Sky Panorama - Pinar de Araceli"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!![[Pinar de Araceli (PDA)]]

__ Bedingungen:__ Klar, Aufnahme nach der Abenddämmerung

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31248228873/in/datetaken/" title="Puerto de Pinar - Fisheye"><img src="https://c2.staticflickr.com/1/377/31248228873_546b523743_z.jpg" alt="Puerto de Pinar - Fisheye"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!![[Rhön]]

__ Bedingungen: __ Dunstig und schlechte Transparenz, Aufnahme gegen Mitternacht im September 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28167448154/in/datetaken/" title="All Sky _ Rhoen _4000x4000"><img src="https://c3.staticflickr.com/9/8818/28167448154_bda1f6531b_c.jpg" alt="All Sky _ Rhoen _4000x4000"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!![[Roque de los Muchachos|Roque de los Muchachos (RDLM)]]

__ Bedingungen:__ Klar, Aufnahme gegen Mitternacht, stärkeres horizontnahes Airglow

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24633460945/in/datetaken/" title="Ohne Titel"><img src="https://live.staticflickr.com/1558/24633460945_30b62d69f3_k.jpg"></a>

!![[Tivoli Astrofarm]]

__ Bedingungen:__ Leicht dunstig, Aufnahme nach Abenddämmerung, stärkeres horizontnahes Airglow

<a data-flickr-embed="true" data-header="false" data-footer="true" data-context="false"  href="https://www.flickr.com/photos/106029581@N02/18085137415/in/datetaken/" title="DSC01631_fisheye_web"><img src="https://farm6.staticflickr.com/5442/18085137415_33205e8083_z.jpg" alt="DSC01631_fisheye_web"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!![[Tivoli Astrofarm]]

__ Bedingungen:__ Klar, Aufnahme gegen Mitternacht, stärkeres horizontnahes Airglow

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35172710676/in/datetaken-public/" title="All Sky Panorama taken at Tivoli Astrofarm"><img src="https://c1.staticflickr.com/5/4235/35172710676_e3bbac000e_c.jpg" alt="All Sky Panorama taken at Tivoli Astrofarm"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!![[Tivoli Astrofarm]]

__Bedingungen:__ Extrem klar, Aufnahme nach der Abenddämmerung, horizontnahes Airglow

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29137853217/in/dateposted-public/" title="Tivoli Sky"><img src="https://farm2.staticflickr.com/1840/29137853217_1bac78eebb_k.jpg" alt="Tivoli Sky"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!![[Tivoli Astrofarm|Tivoli Astrofarm]]

__ Bedingungen:__ Klar, Aufnahme am [[24.06.2022|24. Juni 2022 - Tivoli Astrofarm]] zur astronomischen Dämmerung gegen 18:30 WAT; ca. 40 Aufnahmen a 13 sec bei 6400 ASA im RAW-Format aufgenommen. Kamera Sony A7 astromodifiziert mit Objektiv Sony 14mm 1.8 @f2. Zusammengesetzt in MS ICE. Finale Bearbeitung in iOS LR & PS Fix.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/fEu4006R27" title="Untitled"><img src="https://live.staticflickr.com/65535/52298968863_d33639fd8e_h.jpg" alt="Untitled"></a>

!!Wasserkuppe

__ Bedingungen:__ Klar, Aufnahme vor der Morgendämmerung

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26522325244/in/datetaken/" title="Wasserkuppe"><img src="https://live.staticflickr.com/7416/26522325244_865f5043fa_k.jpg" alt="Wasserkuppe"></a>

Hier sind All Sky Panoramen zu sehen. Diese unterteilen sich in Aufnahmen, die aus einer Vielzahl von Einzelaufnahmen zu einem ''All Sky Panorama'' zusammen gesetzt und solchen, die mit einem ''190 Grad Fisheye Objektiv'' in einer Einzelaufnahme erstellt worden sind.

!Nachgeführte All Sky Aufnahmen 

Nachgeführte Aufnahmen aufgenommen mit Sony A6000 ''6.5 min belichtet'' (sofern nicht abweichend angegeben) unter Verwendung eines Meike 6.5mm f2 @f8 bei 800ASA. Kamerainterner JPEG Abzug. Die Aufnahmen sind ggf. nachbearbeitet.

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!All Sky Fisheye - Zur Bestimmung der Himmelsqualität

Aufnahmen mit Sony A6300 ''25 sec belichtet'' unter Verwendung eines Meike 6.5mm f2 @f2.8 bei 5000ASA. Kamerainterner JPEG Abzug. Sie dienen mir zur Beurteilung der ortsabhängigen Lichtverschmutzung. Keine Nachbearbeitung.

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!All Sky Panoramen 

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Ich setze zur Erstellung der All Sky Panoramen Microsoft's ICE ein. Habe damit gute Ergebnisse erzielt. Dabei werden die Einzelaufnahmen vom Programm automatisch zusammengesetzt und dabei auch die immer vorhandene Vignettierung entfernt. Eine Veränderung der Tonwerte findet nicht statt.

Die Aufnahme vom Pinar de Araceli aus diesem Sommer entstand aus einer Vielzahl aus Einzelaufnahmen. Insgesamt wurden 2.5 h belichtet. Um ein Gefühl für die notwendige Anzahl der Einzelaufnahmen zu bekommen, habe ich jetzt ca. 50% der Aufnahmen bei der Neuberechnung des Panos weggelassen. Das Ergebnis ist erstaunlich gut:

!!Sphärische Projektion

Der Gegenschein ist deutlicher zu sehen als bei der doppelten Anzahl von Aufnahmen:

!!!50% der Aufnahmen:

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/22621098247/in/datetaken/" title="Pinar de Araceli neu _ halbe auswahlstereo"><img src="https://farm6.staticflickr.com/5663/22621098247_8d0df0bb54_z.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>


!!!100% der Aufnahmen:

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/20901979645/in/datetaken/" title="Lichtbrücke with Gegenschein and Milky Way"><img src="https://farm1.staticflickr.com/754/20901979645_3f469dc7a7_z.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Doppelbild von M45 sichtbar.

!!Fisheye Projektion

!!!50% der Aufnahmen:

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/22646942519/in/datetaken/" title="Pinar de Araceli August 2015"><img src="https://farm1.staticflickr.com/647/22646942519_296f256065_z.jpg" alt="Pinar de Araceli August 2015"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!!!100% der Aufnahmen

{{All Sky Panorama - Pinar de Araceli}}

!Fazit

Die Anzahl der Aufnahmen ist nicht entscheidend, da insbesondere die Vignettierung vom Programm gut herausgerechnet wird. Bei Standorten mit höherer Lichtverschmutzung aber notwendig, da sich sonst auffällige [[Spinnenmuster|All Sky Panorama - Bonilla]] ergeben. Ganz vermeiden lassen sie sich aber wohl nicht. Bei zu vielen Einzelaufnahmen kann es zu dem vorkommen, dass "Doppelbilder" von einzelnen Objekten auftauchen oder aber Objekte verschwinden. 
Der größte Gewinn ist allerdings der zeitliche: aus 2.5 Stunden Belichtungszeit sollten damit theoretisch 1.25 Stunden werden. Bleibt insgesamt also mehr für die Visuelle Beobachtung :)

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43514617101/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/938/43514617101_ba7518d1e9_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Der Tajo ist ein Fluss in Spanien. Sein Quellgebiet heißt Alto Tajo und liegt im Iberischen Gebirge im nördlichen Teil Spaniens. Die Höhenzüge des Alto Tajo erreichen fast 1900m üNN. Die Besonderheit ist, dass sich praktisch das gesamte Gebiet auf einem höhenmäßig ansteigenden Altiplano von 1200m bis 1600m üNN befindet, wo die „Berge“ dann halt 200 bis 300m höher liegen. Das Gebiet ist dünn besiedelt. Wichtig für astronomische Beobachtungen sind die großen Metropolen Madrid im Westen, Valencia im Südosten, sowie Saragossa im Norden und mittelgroßen Städte Cuenca im Südwesten sowie Teruel im Südosten. Die dunkelsten Beobachtungsplätze findet man in der Mitte dieses magischen Dreiecks unter der Nebenbedingung Cuenca und Teruel zu meiden.

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26892872507/in/datetaken-public/" title="Untitled"><img src="https://farm1.staticflickr.com/911/26892872507_94d0fd9769_c.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Anzeige der Himmelhelligkeit (Zenit) und weitere Daten zu einem selektierten Ort. Screenshot www.www.lightpollutionmap.info</div>

!!Wie kommt man zum Alto Tajo?

Das Gebiet des Alto Tajo ist von Madrid aus etwa in drei Stunden erreichbar. Die Abgeschiedenheit drückt sich in der langen Fahrtzeit aus. Und das ist ein Vorteil. Prinzipiell sind auch schon gute Plätze vor Cuenca erreichbar, wie z.B. [[Bonilla|Bonilla - Mirador de las Estrellas]]. Madrid stört hier aber noch sehr und will man dunkleren Himmel, muss man bis hinter Cuenca fahren. Ein bekanntes Ziel ist ein gleichnamiger Campingplatz in Las Majadas. Ich war jedoch nie dort, schätze aber das Cuenca aufgrund der Nähe etwas stört. Trotzdem sprechen wir hier über Beobachtungsplätze die Bortle 3 bis 4 locker unter guten Bedingungen erreichen. Da kann ich in Deutschland nur von träumen.

Ja, wie kommt man dahin? Nur mit dem Auto. Von Madrid aus Richtung Valencia, in Tarracon auf die A40 nach Cuenca und dann weiter nach Norden. Man fährt dort durch eine geniale Landschaft und über ansteigende Pässe: Puerto de Cubillo 1600m üNN und dann den Puerto de Portilllo 1790m üNN. Dies sind auch schon Plätze, wo man sicherlich schon sehr gut beobachten kann. Vermutlich ist der Himmel bereits ähnlich gut wie am Alto Tajo. Zwar sind die Pässe infrastrukturell gut erschlossenen, aber Unterkünfte sind recht weit entfernt. 

!!Griegos & Orea

Griegos und Orea sind zwei Dörfer, die ich mir „remote“ per Google Streetview bereits im Vorfeld gut angesehen habe. Sie liegen im erwähnten magischen Dreieck und erfüllen in Bezug auf die Höhenlage die Anforderungen: die Beobachtungsplätze liegen über 1700m üNN. Unterkünfte sind in 20 min erreichbar.

!!Griegos - La Muela de San Juan

Obwohl ich dort bisher nicht beobachtet habe: Ein Traum. Warum? Über dem Dorf liegt ein Höhenzug mit dem Namen „Muela de San Juan“, der sich auf ca. 1790m üNN befindet und auf dem ein kleines Ausflugslokal betrieben wird. Im Juli 2018 war es geschlossen. Angeschlossen ist ein asphaltierter Parkplatz. Die Horizontsicht ist in alle Richtungen gut, d.h. durch Bäume werden ca. 5° verdeckt. Wie gesagt, der Platz ist in sehr gutem Zustand und asphaltiert. Ich habe keine Beleuchtung erkennen können. Und der Anfahrtsweg ist ebenfalls asphaltiert und in sehr gutem Zustand. Hinter dem Parkplatz geht die Straße weiter und wird zu einem Schotterweg. Dieser führt zu einem Aussichtspunkt, an dem auch ein Feuerwachturm installiert ist. Dort ist die Rundumsicht aufgrund naher Bäume nicht gut. Man kann aber hier ausweichen, sofern doch auf dem Parkplatz Licht oder Leute stören.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42609542745/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/856/42609542745_b57d0626c9_h.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

In Griegos selbst gibt es ein gutes Hostal. Habe zwar nur kurz mit dem Besitzer gesprochen, aber es macht einen guten Eindruck. Preislich liegt das Einzelzimmer bei 20 EUR pro Nacht. Eine Bar und ein Restaurant werden ebenfalls betrieben.

!!Orea - Cerro de St. Cristobal 

Orea liegt nur wenige Kilometer von Griegos entfernt. Hier heisst der Hausberg Cerro de St. Cristobal. Auf ihm befindet sich sogar eine kleine Kapelle und Handymasten, so dass für Internetempfang bestens gesorgt ist. Leider werden diese mit einem Dieselgenerator betrieben, so dass man je nach Windrichtung etwas ausweichen muss, will man nicht am „Auspuff“ stehen bzw. an der Geräuschkullisse teilhaben. Nicht falsch verstehen: der Generator ist sehr modern. Rust nicht und knattert nicht. Trotzdem hört man und riecht ihn. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29643567408/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/852/29643567408_1226923608_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Ein anderes Thema sind Ziegen und Schafe die dort am Gipfel weiden. Sie sind zutraulich, vermutlich weil sie von den Besuchern gefüttert werden. Etwa 200m vor dem Gipfel gelangt man auf eine absolut ebene und große Wiese. Sie liegt auf 1780m üNN und die Rundumsicht ist nahezu perfekt. Nur die Tatsache, das Gipfel und Wiese nur über eine Schotterpiste erreichbar sind, ist nicht so schön. Deshalb ist Griegos ein Traum. Denn dort sind die Verhältnisse analog, aber sowohl Straße als auch Wiese sind asphaltiert.

In der Nähe des St. Cristobal liegen ein Campingplatz sowie verschiedene Unterkünfte. Zimmerpreise liegen um 20 EUR pro Nacht.

!!Beobachtungsplatz - Wiese am St. Cristobal 

Rundumsicht ist gut. Bäume schneiden etwa 5° vom Horizont ab. Das ist aber gut, denn Lichtverschmutzung gibt es fast überall, so auch hier. In verschiedene Richtungen sind leichte Aufhellungen am Horizont zu erkennen, die aber nur vage erkennbar und nicht störend sind. Die hellste ist Richtung NNO zu erkennen. Vermutlich ist dies das Dorf selbst. Der Boden ist dicht bewachsen, aber abgeweidet. Beim Auftreten staubt es daher nicht. Ich finde das wichtig, da manche Plätze einen durch Flugstaub/-sand in einer Nacht den ganzen Hauptspiegel „zusauen“ können. Das untenstehende Foto zeigt ein 360° Nachtpanorama. In der Mitte ist Süden.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41724378150/" title="Wiese am Cerro de St. Cristobal"><img src="https://farm2.staticflickr.com/1781/41724378150_6a912c81d2_h.jpg" alt="Wiese am Cerro de St. Cristobal"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!Vergleich [[Pinar de Araceli|Pinar de Araceli (PDA)]] mit St. Cristobal

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43296778092/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1821/43296778092_e8d2e14a68_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Morgendämmerung im Sommer im Pinar. Aufhellung im Südosten kommt von Murcia.</div>

Auf dem St. Cristobal fühlt man sich gleich heimischer 😀. Der Bodenbewuchs ist üppiger, die Nadelbäume höher und es riecht fast wie an meinen Beobachtungsplätzen in der Rhön. Das Klima ist insgesamt feuchter und regenreicher. In der ersten Beobachtungsnacht am St. Cristobal erreichte das SQM-L 21.76 im Schnitt im Zenit. Das ist auf Topniveau zu allen bekannten Standorten, die ich kenne (Namibia eingeschlossen). In der Nacht war es zu dem sehr feucht, so dass sogar bessere Werte vorstellbar sind. Die Milchstraße ist ähnlich gut strukturiert wie im Pinar de Araceli. Dieser Standort hat mit Sicherheit die Bortle 1. Das Seeing war am Beobachtungstag sehr gut. Mit bloßem Auge standen alle Sterne bis zum Horizont absolut still. Im Teleskop waren an hellen Deep Sky Objekten 1300 fach gewinnbringend einsetzbar. In Horizontnähe war die Transparenz nicht gut, was ich aber auf die hohe Luftfeuchtigkeit > 90% in dieser Nacht zurückführe. 

Die Lichtverschmutzung ist hier geringer als im Pinar. Im [[Pinar de Araceli|All Sky Panorama - Pinar de Araceli]] ist Murcia als Lichtglocke 5° über dem Südosthorizont stets gut erkennbar, wenn auch nicht störend. Am Cristobal hingegen gibt es in keine Richtung eine störende und eindeutig erkennbare Lichtglocke. Sie können jedoch vermutet und durch Aufnahmen mit einer Kamera verifiziert werden. Wie gesagt nicht störend. Bis nach Orea benötigt man für die 4 km Schotterpiste ca. 15-20 min. Sie ist mit einem Kleinwagen problemlos zu bewältigen. Vom Pinar aus zu den Hostals hingegen ca. 30 min. Die Dörfer am Alto Tajo liegen bereits  sehr hoch (1500 bis 1600m üNN). Die Beobachtungsplätze aber nur ca. 300m höher. Im Pinar sind es 500m bis 700m. Dadurch besteht die Gefahr, dass die Dörfer zur Lichtverschmutzung aktiv beitragen. Im Fall vom St. Cristobal bedeutete das, dass Orea im Norden schwach durch eine Baumlücke sichtbar bzw. vermutet wurde. Verifiziert habe ich dies nicht. Dazu hätte ich auf den Gipfel gemusst. Grundsätzlich besteht aber die Gefahr, dass der geringere Höhenunterschied des Cristobal im Vergleich zum Pinar de Araceli bei zunehmender Lichtverschmutzung (in Orea) den Platz schnell in Bedrängnis bringen könnte.

Der Alto Tajo ist relativ „Calima“ sicher. Während in der selben Beobachtungsnacht, die ich am Alto Tajo verbrachte, andere Amateure am Calar Alto unterwegs waren und üble „Calima“ herrschte, war dies am Alto Tajo nicht so. Das Problem mit der „Calima“ besteht allerdings praktisch nur im Sommer (ab Juli bis Ende August evtl. auch noch im September).

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43456705032/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/929/43456705032_a9161599d3_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Im Sommer bietet der Pinar etwa 30 min mehr astronomische Nacht aufgrund der südlicheren Lage (38° gegenüber 40° nördliche Breite). Nicht viel, aber im Juli gibt es hier auch „nur“ fünf Stunden. Da sind eine halbe Stunde Zugabe nicht zu vernachlässigen.

!!Unterkünfte & Camping 

Camping wird im Alto Tajo nicht so gerne gesehen (außer auf Campingplätzen). Dies zumindest zeigen die vielen Verbotsschilder an. In der Sierra de Segura habe ich sowas nicht sehen. Am Alto Tajo gibt es nicht in jedem kleinen Dorf ein Hotel. Ich bin im Hotel „Alto Tajo“ in Orea gut untergekommen. In Griegos gibt es das Hotel „La Muela de San Juan“.

!!Wetter

Der Alto Tajo gehört zum iberischen Gebirge. Er liegt ca. 400 km nordöstlich der Sierra de Segura, wo sich der Pinar de Araceli befindet. Das Klima ist feuchter und regenreicher. Und kälter. Vermutlich auch windiger. Die Sierra de Segura befindet sich wettertechnisch optimal: Für atlantische Tiefdruckgebiete fast unerreichbar, da sehr südlich und zu dem sehr östlich in Mittelmehrlage gelegen. Die Tiefdruckgebiete ziehen eher nördlicher vorbei und müssen dann das ganze iberische Festland überqueren um dann am Mittelmeer schließlich aufzugeben (denn das Mittelmehr ist ein gigantischer Wärmespeicher). Der Alto Tajo liegt aber im Einzugsgebiet der Tiefs. Im Sommer in der Regel kein Problem. Im Winter schon. Da würde ich einen Strandurlaub in der Region Valencia buchen und dann bei gutem Wetter aufbrechen. Von dort aus sind beide Plätze in drei Stunden erreichbar.

!Fazit

Der Alto Tajo ist hervorragend geeignet für astronomische Beobachtungen. Vermutlich neben der Sierra de Segura der Top Standort in Kontinentaleuropa. Man kann nur hoffen, dass dies so bleibt.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42599587625/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/842/42599587625_128e84ca74_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25780691783/in/datetaken/" title="Pano 4000 länger"><img src="https://farm2.staticflickr.com/1463/25780691783_6892e2707f_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Nicht schon wieder oder doch? Ostern liegt gerade hinter uns. Und der Neumond vor uns. Er fällt dieses Jahr auf Anfang April. Und deshalb sitze ich auch schon wieder im Flugzeug. Mein Ziel wieder La Palma. Routine würde ich schon fast sagen. Diesmal soll der Aufenthalt nicht so lang dauern, sondern nur etwas mehr als eine Woche. Nach den Winterobjekten der Milchstraße im Januar stehen jetzt hauptsächlich Galaxien im Fokus. Aber zwei Stunden sind die Wintersternbilder noch gut beobachtbar. Achteinhalb Stunden astronomische Nacht. Im Januar waren es noch drei Stunden mehr.

Die Wettervorhersage ist unklar. Die Nacht vor meiner Ankunft ist es sehr windig. Was danach kommt ist ungewiss. Zunächst ist unbeständiges Wetter angesagt worden, dann aber wiederum nicht. Es steht also in den Sternen :)

{{La Palma April 2016 - Beobachtungen}}

!!Videos

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Was bleibt sind wieder schöne Erinnerungen. Ich habe meine Zeichentechnik etwas umgestellt und zeichne nicht mehr auf beigem Papier, sondern rein weißem. Dadurch funktioniert die Digitalisierung deutlich besser. Und La Palma ist immer eine Reise wert.

Das Video zeigt einen Rundgang am Riesenrefraktor der Archenhold-Sternwarte.

<iframe width="560" height="315" src="https://www.youtube.com/embed/0lV2tEybaOE" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Objekt: Arp 113, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 290x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Stumpi, Zeitpunkt: 25.09.2016

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/29929109736/in/datetaken/" title="Arp 113"><img src="https://c1.staticflickr.com/9/8357/29929109736_872bcd8710_o.jpg" alt="Arp 113"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29929163986/in/datetaken/]]

Objekt: Arp 123, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 290x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[29.12.2018|29. Dezember 2018 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/UHvQpW" title="Arp 123"><img src="https://farm8.staticflickr.com/7923/31948628227_02e911b8b0_c.jpg" alt="Arp 123"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46838093522/in/datetaken/]]

Objekt: Arp 206, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Roque de los Muchachos, Zeitpunkt: [[26.01.2016|26. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32717612791/in/datetaken-public/" title="NGC 3432"><img src="https://c1.staticflickr.com/3/2530/32717612791_f2528d0eb9_b.jpg" alt="NGC 3432"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32841242915/in/datetaken-public/]]

Objekt: Arp 261, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 290x, Filter:-, Bedingungen: SQM-L 21.8, Ort: PDA, Zeitpunkt: 01.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29059571451/in/datetaken/" title="Ohne Titel"><img src="https://live.staticflickr.com/7537/29059571451_7edb735f20_b.jpg" alt="Ohne Titel"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28514895114/in/datetaken/]]

Objekt: Arp 297, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 290x, Filter:-, Bedingungen: SQM-L 21.7, Ort: PDA, Zeitpunkt: 3. & 6.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28463424223/in/datetaken/" title="Ohne Titel"><img src="https://live.staticflickr.com/7607/28463424223_c704004b92_b.jpg" alt="Ohne Titel"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29081146315/in/datetaken/]]

Objekt: Arp 304, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Wasserkuppe, Zeitpunkt: [[30.12.2019|30. Dezember 2018 - Muela de San Juan]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47134797832/in/dateposted-public/" title="ARP 304"><img src="https://farm8.staticflickr.com/7921/47134797832_6937e8ded9_c.jpg" alt="Arp 304"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47134797962/in/dateposted-public/]]

Objekt: Arp 313, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.6, Ort: Wasserkuppe, Zeitpunkt: [[07.05.2018|7. Mai 2018 - Wasserkuppe]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41481033425/in/dateposted-public/" title="Arp 313"><img src="https://farm2.staticflickr.com/1734/41481033425_7ebef3bd77_c.jpg" alt="Arp 313"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41481033435/in/dateposted-public/]]

Objekt: Arp 82, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[03.01.2019|03. Januar 2019 - Muela de San Juan]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/F7M331" title="Arp 82"><img src="https://farm8.staticflickr.com/7894/32162210837_5baf61446d_c.jpg" alt="Arp 82"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46190373235/in/photostream/]]

![[Index - Arp Galaxien]]

Atlas of Peculiar Galaxies siehe [[Wikipedia|https://de.wikipedia.org/wiki/Atlas_of_Peculiar_Galaxies]]. 

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!![[Beobachtungsplätze|Plätze]]

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!![[Beobachtungsobjekte]]

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!![[Reviews]]
!!!<ul><$list filter="[tag[Reviews]]+[!sort[created]]"><li>Posted <$view field="created" format="relativedate"/>: <$link to={{!!title}}><$view field="title"/></$link></li></$list></ul>

Ich habe mich von 2003 bis ca. 2008 mit diesem Thema intensiv beschäftigt und viele Fotos gemacht. Die meisten Aufnahmen sind chemische Dias im Mittelformat. 

Seit 2019 mache ich mit einer astromodifizierten Sony A6000 Übersichts- und Landschaftsaufnahmen bei Nacht.

!Digitale Astrofotografie

{{Aktuelle Astrofotos}}

!Chemische Fotos 

Die Galerie, früher hier gezeigt wurde ist schließlich zu [[Flickr|https://www.flickr.com/photos/106029581@N02/albums/72157636763230734]] gewandert.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0j14c6" title="Untitled"><img src="https://live.staticflickr.com/65535/51873086298_5aaa7ed80a_k.jpg"></a> Zwischen den Wolken tauchen immer wieder die Sterne auf. Die Stimmung ist auf La Palma in solchen Momenten einfach magisch. </div>

La Palma hat eine harte Zeit hinter sich. Nicht nur, dass die vom Tourismus geprägte Insel jetzt zwei Corona Jahre hinter sich hat, darüber hinaus kam es im September 2021 zu einem Vulkanausbruch im südwestlichen Teil der Insel. Mittlerweile ist der Ausbruch zwar überstanden, aber mehr als 2900 Gebäude sind zerstört worden. Unfassbar.

! Wir sind im zweiten Corona Jahr

Das zweite Corona Jahr ist angebrochen. Wie viele noch folgen werden ist ungewiss. Im Januar wird von offizieller Seite angekündigt, dass vermutlich weitere Impfungen und Einschränkungen im Verlauf des Jahres und darüber hinaus nicht mehr notwendig sein werden. So etwas wie das offizielle Ende der Pandemie. Das ist allerdings schon ein paarmal ausgerufen worden, so dass man einfach abwarten muss, wie sich die Lage am Ende entwickelt.

!Flug und Anreise

Mitten in der Omikron Welle geht es schließlich los. Ab Frankfurt über Madrid nach Santa Cruz de La Palma. Direktflüge gibt es im Moment nicht, was wohl am Vulkanausbruch lag, wo dann stellenweise ja auch der Flugbetrieb ruhen musste. Ich bin aber bereits in der Vergangenheit häufig mit Iberia geflogen, da die Reisezeit zwar gegenüber einem Direktflug höher ausfällt, aber die Gepäckkonditionen sehr kulant und preislich unschlagbar sind.

Überrascht bin ich jedoch wie voll das Flugzeug ✈️ beim Abflug in Frankfurt tatsächlich ist. In Madrid ist das Terminal 4 gut besucht. Überall Flugreisende. Der Flieger nach La Palma ist es auch. Habe den Eindruck, dass es bis auf den letzten Sitzplatz ausgebucht ist. Dazu muss man wissen, dass nach dem Vulkanausbruch die meisten Fluggesellschaften die Flüge auf die Insel eingestellt hatten. Die erste Fluggesellschaft die offensichtlich jetzt einen Neuanfang wagt ist Iberia. Ich habe einen Platz in der ersten Klasse ergattert, der mir beim Check in für wenig Aufpreis angeboten worden ist. Ich bin der zweite, der das Flugzeug verlässt.

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/559hxR" title="Untitled"><img src="https://live.staticflickr.com/65535/51849697458_efdc8b87a1_h.jpg"></a></div>

!Einreisebedingungen

Zur Einreise muss muss man vollständig geimpft sein oder einen negativen Test vorweisen können. Dies gilt sowohl für die Einreise nach Spanien 🇪🇸, als auch für die Rückreise nach Deutschland 🇩🇪. 

Ich breche donnerstags auf und komme erst am Abend am Flughafen an. Dies liegt zum einen daran, dass ein Tiefdruckgebiet ab Dienstag die Regie übernimmt und ich natürlich nicht im Regen ein paar Tage da unten sitzen möchte. Der Neumond liegt zwar noch vor uns, aber die erste Nacht wäre schon praktisch voll nutzbar, da der Mond erst gegen 5:00 Uhr aufgeht. Planen  tue ich allerdings nicht mit, denn bis ich auf Athos schließlich eintreffe ist es circa 21:00 Uhr.

!Ankunft auf Athos

Ich komme gut an, und bin der erste am Mietwagenschalter. Circa 20 Minuten nach der Landung sitze ich in meinem Auto und bin auf dem Weg nach Las Tricias. Als ich den Tunnel passiere, erwartet mich auf der anderen Seite in El Paso ein wunderschöner Sonnenuntergang. Selbst aus dem Auto heraus sieht das traumhaft aus. Wenig später setzt dann allerdings Starkregen ein. Gegen 20 Uhr bin ich schließlich auf Athos. 

Die erste Nacht soll es noch bewölkt sein und es ist es auch. Kann einige Schnappschüsse machen, aber zu mehr reicht es leider nicht. Gegen Mitternacht setzt schließlich Regen ein. 

Am nächsten Morgen werde ich schließlich durch einen extrem klaren und wunderschönen Morgen mit Sonnenaufgang belohnt. Ernst, ein Sternfreund meint später sehr treffend, dass die Leute die zum ersten Mal auf La Palma sind, in der Regel das Gefühl haben, wie auf Drogen zu sein ob der schönen Landschaft und des Lichts, die ihnen zum Teil magische Eindrücke verschaffen.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 28.01.-29.01.|28. Januar 2022 - Athos Star Campus]]|''25" Dobson, 9 h, Ort: [[Athos Star Campus]], klar mit aufkommendem Calima, +9° C, SQM-L 21.8, Mondaufgang 🌗 um 05:40 Uhr UT, 3 Objekte''<br>[[NGC 2438]], Antennengalaxien, Sombrerogalaxie|
|[[2. Nacht / 29.01.-30.01.|29. Januar 2022 - Athos Star Campus]]|''25" Dobson, 8 h, Ort: [[Athos Star Campus]], dunstig mit Calima, +7° C, SQM-L 21.82, 2 Objekte''<br>[[NGC 2452]], NGC 3242 - Jupiters Geist|
|[[3. Nacht / 30.01.-31.01.|30. Januar 2022 - Athos Star Campus]]|''25" Dobson, ca. 8 h, Ort: [[Athos Star Campus]], trübe mit Calima, +4.5° C, zunehmender Mond 🌙, 2 Objekte''<br> [[Abell 12]], [[Auner 1]], Highlights der Wintermilchstraße|
|[[4. Nacht / 31.01.-01.02.|31. Januar 2022 - Athos Star Campus]]|keine Beobachtung, da bewölkt 😶‍🌫️|
|[[5. Nacht / 04.-05.02.|04. Februar 2022 - Athos Star Campus]]|''25" Dobson, ca. 8 h, Ort: [[Athos Star Campus]], trübe mit Calima, +10° C, zunehmender Mond 🌙, 11 Objekte''<br>M42, [[NGC 2438]], [[Barnard 33 - Pferdekopfnebel|B33 - Pferdekopfnebel]], [[NGC 2024 - Flammennebel]], Antennengalaxien, Sombrerogalaxie, M51, M13, M4, M8, Omega Centauri|
|!10 Nächte|!Gesamtbeobachtungszeit 88 h, 10 Objekte beobachtet (z.T. mehrfach), davon __6 gezeichnet__|

!Unterbringung

Bin im „Galileo“ untergekommen. Das Häuschen hat auf dem Dach die schönste Aussicht. Der Weg zu den Beobachtungsplattformen ist sehr kurz. Zur „Orangerie“ ist es ebenfalls nicht weit. Dort kann man sich selbst verpflegen und auch nachts gut einen Tee 🫖 oder Kaffee ☕️ trinken.

!Gang of Four

Zu viert waren wir einige Nächte zusammen beobachten. Ich gab den Barista, der zu gegebener Stunde während der Beobachtungsnacht Kaffee ☕️ gemacht hat. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1ve32C" title="Gang of Four"><img src="https://live.staticflickr.com/65535/51867499823_d027bf319a_k.jpg" alt="Gang of Four"></a>

!Wetter und Seeing

Das Wetter war durchwachsen. Extrem klare Nächte gab es nicht. Mehrere Wolken- und Regennächte ☁️ gab es allerdings. Es herrschte über die gesamte Zeit eine Calima Wetterlage.

!Ausflug zum Roque de Los Muchachos 

Ein Höhepunkt war der Besuch des Roque und insbesondere der Gipfelregion am letzten Abend.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/emj47N" title="Untitled"><img src="https://live.staticflickr.com/65535/51870680904_6e7ca4a1a4_k.jpg"></a> 

Hinter der Baumgrenze nahm die Transparenz deutlich zu. Wir waren schließlich über der Calima Schicht. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ZUMG2h" title="Untitled"><img src="https://live.staticflickr.com/65535/51876625871_8a5ee6231a_k.jpg"></a>

Der Sonnenuntergang ist traumhaft. Seit Jahren habe ich ihn hier oben nicht mehr erlebt. Der Erdschatten geht sehr transparent auf. Wahnsinn! 😆 

Am nächsten Morgen steht die Rückreise an. Ich stehe zur Dämmerung auf und sehe die anderen noch abbauen. Ein Kaffee ☕️ und eine kurze Verabschiedung folgen. Dann geht es Richtung Flughafen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/523nZ9" title="Untitled"><img src="https://live.staticflickr.com/65535/51870366331_ed54021c41_k.jpg"></a>

Ich komme auf dem Weg auch am Vulkan 🌋 vorbei und bin beeindruckt von der Lavawalze, die sich bis zur Küste erstreckt. Er hat sich beruhigt, der Vulkan, gast aber noch aus. Von ihm geht aktuell keine Gefahr mehr aus. Er hat sich wieder schlafen 😴 gelegt.

!!!''Weiter zur Fotogalerie auf [[Flickr >>|https://www.flickr.com/gp/106029581@N02/7n88739g74]]''

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/93172e"><img src="https://live.staticflickr.com/7881/32633892097_bc2ebc9fc0_k.jpg"></a>

Der [[Athos Star Campus|http://www.athos.org]] ist eine Astrofarm auf der Kanareninsel La Palma. Ursprünglich wohl zunächst als reine Teleskopvermietung geplant bietet sie auch Unterkünfte mit Beobachtungsmöglichkeiten an. Athos befindet sich in Las Tricias, einem Dorf im Nordwesten der Insel. 

Das Geschäftsmodell ist offenbar ähnlich zu dem anderer Astrofarmen, d.h. der Vermietung von Unterkünften und zugehörigen Gerätschaften. Aufdem Gelände kann man ganze Häuser mieten in denen mehrere Personen - in der Regel aber wohl maximal zwei Personen - Platz finden. die Preise sind inselüblich, wobei man allerdings auf der Insel auch deutlich günstigere Möglichkeiten findet.

Der Komfort ist hoch insbesondere auch bezogen auf das Thema Astronomie. Hier kann man direkt am Haus beobachten und dafür auch entsprechende vorgesehene Plattformen zurückgreifen. Diese bieten eine relativ gute Rundumsicht, die auf der Vulkaninsel - wenn man mal vom Gipfel absieht - recht selten sind. Die Lage ist mit 900m üNN gut und man ist i.d.R. über der tiefen Wolkenschicht.

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4L1f42" title="Athos Garten"><img src="https://live.staticflickr.com/65535/50342820476_ee63d7afee_h.jpg" alt="Athos Garten"></a>Verschlungene Pfade auf dem Gelände.</div>

Unter der Woche sind das Dorf und die Gegend sehr ruhig. Am Wochenende allerdings setzt z.T. reger Verkehr ein. Extrembeobachtungen sollten daher nicht zu früh eingeplant werden, da dann ein in der Nähe befindlicher Sportplatz und einige Häuser noch zum Teil Außenlicht an haben. Natürlich kann man auch seine Sachen packen und in andere Gegenden zum Beispiel auf dem Gipfel, dem [[Roque de los Muchachos|Roque de los Muchachos (RDLM)]] ausweichen. Wer dies nicht möchte, findet aber hier auch gute Bedingungen. 

!Wunderschöne Gartenanlage

Die Lage der Unterkünfte ist wunderschön gestaltet. Sie liegen mitten in einem Garten, der viele verschlungene Wege und unzählige einladende Ecken kennt. Für Gartenliebhaber vermutlich ein Traum. Für alle anderen auch.

!Beobachtungsplattformen

Es stehen zahlreiche Beobachtungsplattformen zur Verfügung. Eine sogar direkt auf einem Hausdach. Diese hat auch die beste Rundumsicht von allen. Man fühlt sich dort wie auf einer Bühne, wo einem der Nachthimmel präsentiert wird. Von allen Plattformen aus, so versichert Kai, der Besitzer, ist der Polarstern zu sehen. Dies ist für Astrofotografen wichtig. Denn schließlich will die Montierung eingenordet werden. Die Plattformen sind auch ausreichend groß, um einen kurzbauenden 25 Zöller aufzunehmen. 

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/02N2tZ" title="Nachts auf Athos."><img src="https://live.staticflickr.com/65535/50342157878_f583575358_h.jpg" alt="Nachts auf Athos."></a> Betonierte und ausreichend große Plattformen für die visuelle und die fotografische Beobachtung stehen zur Verfügung. </div>

Die Plattformen verfügen eine Art Ablage und auch über eine Stromversorgung. Die Ablage kann überall am Geländer angebracht werden.

!Prinzip „Selbstversorgung“

Der Campus hat eine Orangerie, die als Gemeinschaftsraum genutzt wird und auch eine Küche beherbergt. Gut durchdacht ist auch das Beleuchtungskonzept, d.h. Wege werden über Bewegungsmelder mit Rotlicht ausgeleuchtet und in vielen Räumen ist grundsätzlich Rotlicht vorhanden und kann nachts ohne Störung der Dunkeladaption genutzt werden.

Auf Athos gibt es keine Abendessen wie auf anderen Farmen. Hier gilt das Prinzip Selbstversorgung. Dies macht absolut Sinn vor dem Hintergrund, dass die touristisch genutzte Insel über eine Vielzahl von Restaurants verfügt, die in kurzer Entfernung zum Campus liegen. Alle anderen können natürlich gerne in der Küche kochen, die zudem auch über einen guten Kühlschrank verfügt. Dort können Lebensmittel gelagert werden.
Die Küche ist mit einem großen Cerankochfeld, Kühl- & Gefrierschrank sowie Spülmaschine ausgestattet und natürlich mit entsprechenden Utensilien. Nichts scheint zu fehlen. Für Leute die sich komplett selbst versorgen möchten, ist dies hier sehr gut möglich. In circa 800m im Dorf gibt es auch einen Lebensmittelladen.

!Zentral und dennoch ruhig gelegen

Nach anstrengenden Beobachtungsnächten kann man sich hier gut erholen. Zwar führt eine nahe gelegene Straße vorüber, aber sie ist soweit entfernt, dass sie eigentlich nicht stört. Nachts hat man hier ohnehin keinen Verkehr und tagsüber, wenn man sich erholen oder schlafen möchte, gibt es unter der Woche praktisch keinen hörbaren Straßenlärm. Lediglich am Wochenende ist es möglich dass man einzelne Motorräder am Mittag oder Nachmittag hört.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/40TUxf" title="F5D8AD6B-6851-4506-AE6D-CF17AB58F231"><img src="https://live.staticflickr.com/65535/50343235841_2256623c12_k.jpg"></a>

Das Foto zeigt den Blick vom Campus Richtung Westen. Die gute Rundumsicht habe ich bereits erwähnt. Beim Blick nach Süden sind vielleicht ca. 5° durch die Berge der Caldera versperrt, die nach Westen stark abfallen, so dass der Südwesten schon optimal ist. Lediglich der Blick nach Osten ist u.U. mit 15° durch die lokale Hanglage versperrt. Dies gilt aber nicht für alle Plattformen. Die Hausdachplattform hingegen bietet nahezu unbeschränkte Rundumsicht.

!Dunkelheit des Nachthimmels

Der Nachthimmel ist dunkel. Werte von 21.7-21.8 sind keine Seltenheit. Dennoch muss man gerade in der Herbst- und Winterzeit mit Fremdlicht durch z.B. Autos bzw. den Sportplatz zu Beginn der Nacht rechnen. Wenn man dies weiß, kann man sich wiederum recht gut einstellen.   

!Seeing

Das Seeing ist naturgemäß in dieser Höhenlage von 900m nicht so gut wie auf dem Gipfel mit 2400m. Dennoch ist es nicht schlecht. Selbst Planetenbeobachtungen sind auch hier sehr gut möglich.

!Temperaturen und Wind

Tiefsttemperaturen liegen im Winter um die +9° C. Im Sommer bei Calima sind es dann auch gut +26° C. Der Wind kommt auf La Palma fast immer aus NE. Daher liegt der Campus praktisch immer im Windschatten. Wenn es Wind gibt, dann i.d.R. aufgrund der Lage nur eine leichte Brise.

Das Video zeigt den Aufgang des Erdschattens.

<iframe src="https://player.vimeo.com/video/220185380" width="640" height="360" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<p><a href="https://vimeo.com/220185380">Rising Earth&#039;s Shadow</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

Die Insel La Palma gehört zu den besten Beobachtungstandorten auf der Nordhalbkugel. Leider macht sich aber auch hier verstärkt Lichtverschmutzung breit. Nicht immer auf der Insel selbst, aber zum Beispiel von der Nachbarinsel Teneriffa her. Auf La Palma gilt das „Gesetz gegen Lichtverschmutzung“ aber auch hier scheint dies die Lichtverschmutzung nicht dauerhaft verhindern zu können. Denn sie nimmt zu. Dies liegt zum einen daran, dass gegen installierte Außenbeleuchtung kaum vorgegangen wird. 

<$twitter type="tweet" theme="dark" tweetID="1058306698094485505" />

!!Öffentliche Lichtverschmutzung nimmt zu

Zum anderen werden aufgrund der geringen Energiekosten immer mehr (öffentliche) [[Außenbeleuchtungen aufgestellt und betrieben|https://elapuron.com/noticias/municipios/118276/barlovento-dota-alumbrado-publico-tecnologia-led-viviendas-aisladas/]]. Die Umstellung auf LED ist ebenfalls in vollem Gange. Dabei werden sogar [[Rechnungen zur Stromeinsparung|https://elapuron.com/noticias/municipios/118481/barlovento-renovara-alumbrado-publico-gallegos-tecnologia-led/]] aufgemacht, die aber nie die komplette Abschaltung von Teilen der Außenbeleuchtung mit betrachtet. Im Gegenteil. Sie expandiert in Gebiete, wo nur wenige Menschen oder gar niemand wohnt. Und zu guter letzt wurden sogar mitten im Sternenpark auf dem Roque vier Straßenlampen aufgestellt, für Touristen die in das zukünftige Besucherzentrum kommen sollen. Jan Hattenbach, der auf der Insel lebt, hat dies in [[einem Blogeintrag auf seiner Seite dokumentiert|https://himmelslichter.net/endlich-licht-im-sternlichtreservat/]]. Die Lampen sind sogar vom IAC, dem Institut, dass für den Betrieb der Teleskope auf dem Roque und für die Überwachung der Himmelsqualität zuständig ist, [[genehmigt worden|https://eldia.es/palma/2018-11-03/1-Incredulidad-instalacion-farolas-Roque-Muchachos.htm]]. Unglaublich!

!!Der Himmel über La Palma ist leider auch von Lichtverschmutzung betroffen 

Links eine Aufnahme vom Mirador de los Andenes auf La Palma. Im Süden werden die Wolken von Los Llanos de Aridane angeleuchtet, einer in den letzten Jahren stark gewachsenen Gemeinde im Westen von La Palma. Links, also im Osten ist eine Lichtglocke zu sehen. Sie stammt vermutlich von der Ortschaft St. Cruz de La Palma, der Hauptstadt sowie von der circa 120 km entfernten Insel Teneriffa, wo die Lichtverschmutzung extrem zu genommen hat, aufgrund der starken touristischen Expansion in Strandnähe.

<div class="tc-link-info-item" style="float:left; margin-right:15px; margin-bottom:15px;">

![[All Sky Panorama - Roque de los Muchachos]]

{{All Sky Panorama - Roque de los Muchachos}}

</div>

<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:15px;">

![[All Sky Panorama - Tivoli 3]]

{{All Sky Panorama - Tivoli 3}}

</div>

!!Mit dem Besucherzentrum wird sich auf dem Roque vermutlich alles ändern

Auf dem Roque wird ein Besucherzentrum gebaut. Zu befürchten ist, dass deutlich mehr Touristen diesen abgelegenen Ort besuchen werden. Das ist zunächst einmal nicht schlecht oder negativ. Dennoch steht zu befürchten, dass insbesondere durch diese Infrastruktur auch nachts Leute angelockt werden. Bisher konnte man davon ausgehen, dass der Betrieb auf der vorbeigehenden Landstraße während der Nacht relativ gering ist, was in der Regel auch tatsächlich so wahr. Das wird sich vermutlich ändern. Im Winter wird es ja relativ früh dunkel und ist deshalb für astronomische Beobachtungen ideal. So wird die erste Nachthälfte wohl zukünftig von Reiseaktivitäten der Besucher geprägt sein. Da man sich praktisch nur an der Landstraße positionieren kann, wird man vermutlich zukünftig durch die vielen Autos massiv gestört werden.

Schon lange klagen die Bewohner der Insel, dass ihnen die Teleskope auf dem Roque finanziell nichts einbringen. Das IAC hält mit regelmäßigen Studien dagegen. Nun haben die Tourismusverantwortlichen schließlich gehandelt und für geplante 6 Mio EUR das Zentrum gebaut von dem sie sich offenbar die bisher ausgebliebenen Einnahmen versprechen. Gebaut auf dem Stadtgebiet der Gemeinde Garafía im Norden, an der jener Tourismusboom der vergangenen Jahre und Jahrzehnte vorbei gegangen ist. Anstatt einfache Beobachtungsplattformen ohne Beleuchtung und mit einem nächtlichen Nutzungskonzept versehen zu schaffen, nun ein kommerzielles Zentrum mit Kino und Restaurant.

!!Als Amateurastronom ist man auf dem Roque nicht gern gesehen

Der ideale Beobachtungsplatz auf dem Roque befindet sich auf dem Gelände des IAC. Hier ist man vor Autoscheinwerfern vermeintlich geschützt. Tatsächlich aber nicht, da das fahren mit Standlicht, auf das zahlreiche Schilder hinweisen, schon lange nicht mehr beachtet wird. Auf Nachfrage hieß es vor Jahren, es habe Unfälle mit Besuchern gegeben, die nachts in den Straßengraben gefahren seien. Da habe man auf die Durchsetzung der Vorgabe verzichtet. Auf dem Gelände des IAC ist die ganze Nacht über reger Verkehr. 
Der Höhepunkt war das Anbringen einer Lampe über dem Eingang der Residencia, dem Hotel in dem die angereisten Profiastronomen übernachten. Der Grund seien Stürze gewesen. Unfassbar. Offenbar schien dies 20 Jahre lang kein Thema zu sein, aber heutzutage...Und jetzt kommt die Parkplatzbeleuchtung hinzu.

Als Amateur ist man offenbar auf dem Roque zunehmend unerwünscht. Das Gelände des IAC schließt um 19 Uhr abends. Wenn man sich trotzdem darin aufhält, muss man es unter Androhung der [[Polizei|24. Januar 2017 - La Palma]] 👮‍♂️ verlassen. Jetzt kommt außerhalb das Besucherzentrum. Wo sollen die Amateure dann hin? Auf das Gelände des IAC wird man sie vermutlich weiterhin nicht lassen. Nur auf dem Roque ist man dauerhaft über den Passatwolken. Und dort wo das Besucherzentrum entsteht, gab es die besten Plätze, da hier der aufgrund der Höhe fast immer vorhandene Wind etwas weniger stark weht.

!!Was passiert als nächstes?

Vor Jahren gab es den aberwitzigen Plan eine Seilbahn 🚠 von Los Llanos aus zum Roque zu bauen. Verschiedene Sportevents wie z.B. das Trailrunning: [[Transvulcania|https://de.m.wikipedia.org/wiki/Transvulcania]] oder [[Reventon Trail|https://reventontrailelpaso.com/modalidades/subida-a-las-estrellas/]] haben sich etabliert. Letzterer wird sogar Nachts ausgetragen, natürlich mit sehr gut ausgeleuchteten Start- und Zielbereich, wobei man sich mit dem IAC natürlich abgestimmt habe. Beim „Reventon“ handelt es sich um einen ausgezeichneten Beobachtungplatz über den Weinbergen von Puntagorda. 

Gibt es irgendwann auf dem Roque vielleicht ein Musik- oder Rockkonzert  „unter den Sternen“ ✨ ? Nicht auszuschließen. Bisher handelte es sich bei der Insel um einen beschaulichen Urlaubsort mit einem nahezu perfekten Himmel. Es bleibt zu hoffen, dass sich die Insel nicht in einen auch nachts bestens ausgeleuchteten Freizeitpark verwandelt. Negativ zu werten ist leider die [[finale Absage zum Bau des TMT|https://elapuron.com/noticias/sociedad/119926/la-palma-lo-intento-telescopio-treinta-metros-se-queda-hawai/]]. Es wird nun doch - wie die ganze Zeit geplant - auf Hawaii gebaut. 
Der Teleskoppark auf La Palma ist veraltet wenn man vom Grantecan absieht. Teilweise sind kleinere Teleskope schon nicht mehr in Betrieb. Der Bau des TMT auf dem Roque und die geschätzten Investitionskosten von über eine Milliarde EUR hätten dem Thema Astronomie einen Schub sowie der fortschreitenden Lichtverschmutzung wohl Einhalt geboten. 

!Fazit

Vielleicht sehe ich das ganze ja viel zu negativ. Aber fest steht, dass der Roque offenbar jetzt zunehmend auch finanziell genutzt werden soll. Wenn hier schon mit unnötiger Beleuchtung „herumgefuchtelt“ wird, muss man das schlimmste leider befürchten. Es wäre schade, wenn auch dieser Beobachtungsort nicht mehr zu gebrauchen wäre. Auch auf dem spanischen Festland gibt es mittlerweile Plätze auf Augenhöhe. Aber vielleicht ereilt das Besucherzentrum das Schicksal vieler unnützer Bauten in Spanien: Kommt eine Wirtschaftskrise und bleiben die Besucher aus, wird es wohl schnell geschlossen. Vermutlich dann auch nicht mehr beleuchtet und wir Amateurastronomen können den nun unbeleuchteten Parkplatz als tolle Plattform nutzen. 

Wer einen natürlichen Sternenhimmel noch erleben möchte, dem bleibt wohl nichts anderes übrig auf Orte wie zum Beispiel Namibia auszuweichen. Leider.

!Update am 06.11.2018

Das IAC hat per Twitter geantwortet, dass die Straßenlaternen nur in Notfällen eingeschaltet werden und daher nicht ständig in Betrieb seien.

!!Update am 24.12.2018

Im Besucherzentrum wurde eingebrochen und die Außenbeleuchtung offenbar mutwillig eingeschaltet. Diese brannte wohl zwei Nächte durch. Mehr dazu [[hier...|Vandalismus auf dem Roque?]]

Objekt: Auner 1, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 255x, Filter:-, Bedingungen: SQM-L 21.7, Ort: Ort: [[Athos Star Campus]], Zeitpunkt: [[30.01.2022|30. Januar 2022 - Athos Star Campus]], Seeing 2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/d1EH0G" title="Auner 1"><img src="https://live.staticflickr.com/65535/52039639121_da459f4229_c.jpg" alt="Auner 1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52040152880/in/photostream/]]

Objekt: IC 434 mit B33, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 92x, Filter: Hβ, Bedingungen: SQM-L 21.7, Ort: Ort: [[Athos Star Campus]], Zeitpunkt: [[04.02.2022|04. Februar 2022 - Athos Star Campus]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/803i10" title="IC 434"><img src="https://live.staticflickr.com/65535/52040659132_e60fa27905_c.jpg" alt="IC 434"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52041703441/in/photostream/]]

Objekt: B 142 & 143, Kamera: astromod. Sony A6000 (APS-C) mit Sigma 56mm f1.4 @f1.7, Filter: STC-Multispectra Clip-Filter, 10x60 sec, Bedingungen: SQM-L 21.7, [[Athos Star Campus]], [[19.09.2019|18. September 2020 - La Palma]], Omegon Astrotracker NS, Stacking in Sequator, finale Bearbeitung in LR iOS

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50897432882/" title="B142 &amp; 143"><img src="https://live.staticflickr.com/65535/50897432882_9f5e3a00ae_k.jpg" alt="B142 &amp; 143"></a>

Die größten Dunkelnebel sind schon mit bloßem Auge zu beobachten. Sie bilden häufig einen starken Kontrast zu den hellen Milchstraßengebieten. Die auffälligsten und vielleicht auch bekanntesten sind die von E. Barnard katalogisierten.

|!Nr.|!Datum, Öffnung, Beobachtungsbedingungen, -platz, Beschreibung|
|''78''|27.08.2013 22:10 Uhr, 14", 168x, Bortle 2, 21.5 Z, PDA<br>Pfeifennebel. Bereits mit blossem Auge sichtbar. Riesiger unregelmässiger Dunkelnebel. Westlicher Teil T-förmig. Im 10x50 Feldstecher zeigen sich seine Enden ausgefranzt. Nicht vollständig dunkel. Einige helle Sterne im Nebel sichtbar. Am westlichen Ende ist schwacher und kleiner KS auszumachen.|
|''85''|26.08.2013 22:55 Uhr, 14", 168x, Bortle 2, 21.5 Z, PDA<br>Dreiteilung im Trifidnebel. Bei 168 fach ist der Dunkelnebel vollkommen schwarz. Form einer etwa ~nord-südlich ausgerichtetenSchiffsschraube. Im Nebel selbst zwei Sterne zu erkennen.|
|''88''|26.08.2013 22:45 Uhr, 14", 168x, Bortle 2, 21.5 Z, PDA<br>Nicht zu erkennen. Weder bei 114 noch bei 168 fach ist ein Dunkelnebel zu erkennen.|
|''89''|26.08.2013, 14", 56x, 114x, Bortle 2, 21.52 Z, PDA<br>Kleiner Dunkelnebel inmitten von M8. Liegt östlich des eingebetteten Sterhaufens NGC 6530 und einem Stern 7. Grösse. Beste Sicht bei 114 fach. Dann wird ein kleiner schwarzer Dunkelnebel sichtbar, in dessen Mitte sich ein schwacher Stern befindet. Form rundlich mit schwer fassbaren Beulen und Ausfranzungen am Rand.|
|''93''|26.08.2013 23:10 Uhr, 14", 168x, Bortle 2, 21.5 Z, PDA<br>Halbkreisförmiger kleiner Dunkelnebel am Rand von M24. Westlicher Teil ist zu etwa ein Drittel heller als der Rest. In der Mitte des gesamten Nebels ist ein Stern zu erkennen sowie ein weiterer viel schwächerer ungefähr westlich. Weitere ganz schwach Sterne in Randnähe. 21.48 Z|
|''307''|26.08.2013 23:25 Uhr, 14", 168x, Bortle 2, 21.5 Z, PDA<br>Direkt neben B93 liegt dieser rüsselförmige Dunkelnebel. Bei 168 fach ist dieser im Innern völlig schwarz und verläuft von etwa Nord nach Süd. Im Nebel selbst sind einige sehr schwache Sterne sichtbar.|

Glossar:<br>
PDA - Pinar de Araceli (1700 üNN)<br>
RDLM - Roque de los Muchachos (2300m üNN) <br>
La Podona - (1000m üNN)<br>
Z - Zenit

Das Video zeigt mich bei der Beobachtung mit dem 25 Zoll Dobson auf Tivoli.

<iframe width="560" height="315" src="https://www.youtube.com/embed/81aGV3GjKYc" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>

Hier geht es auch zum [[Video auf Flickr|https://www.flickr.com/photos/106029581@N02/42286711990/in/album-72157699959137744/]].

Beobachtungsobjekte sind alle astronomischen Objekte, die man beobachten, z.B. Deep Sky Objekte, Planeten oder den Mond. In dieser Serie werden einige Objekte vorgestellt und Tips zur erfolgreichen Beobachtung gegeben.

!![[Beobachtungsobjekte]]
<ul><$list filter="[tag[Beobachtungsobjekte]]+[!sort[created]]"><li>Posted <$view field="created" format="relativedate"/>: <$link to={{!!title}}><$view field="title"/></$link></li></$list></ul>

!!Beobachtungsberichte

<$macrocall $name="tabs" state="$:/state/tabs/platform" tabsList="2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013" default="2024" class="tc-vertical"/>

Objekt: Berkeley 83, Teleskop: 21" f/3.8, Vergrößerung: 231x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[17.10.2023|17. Oktober 2023 - Lange Rhön]], Seeing 2-3, SQM-L 21.3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/WZ1413Y1yK" title="Berkeley 83"><img src="https://live.staticflickr.com/65535/53437643753_f4c5b5fb94_h.jpg" alt="Berkeley 83"/></a>

Das Video zeigt  einen kurzen Rundgang am neuen Besucherzentrum auf dem Roque de los Muchachos.

<iframe width="560" height="315" src="https://www.youtube.com/embed/AdMtku0NgAU" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Starnet++ ist eine Software mit der man Sterne aus Astrofotos entfernen kann. Ziel ist hierbei, die Deep Sky Objekte OHNE Sterne 🌟  separat zu bearbeiten; meistens um sie im Kontrast anzuheben. Dann werden beide Versionen wieder zusammen gebracht, meistens über eine Ebenenüberlagerung z.B. in Photoshop. Ich habe das auch einmal probiert, wobei man wissen muss, dass das Ganze bei Weitwinkelaufnahmen nicht so gut funktioniert. In meinem Fall waren es 10 Aufnahmen mit 56mm im APS-C Format, die zu einem Bild zusammengesetzt worden sind.

<<<.tc-big-quote

Original Version OHNE Starnet++

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/49561822218/" title="Orion Digital Deep Field"><img src="https://live.staticflickr.com/65535/49561822218_2d2b54cadc_k.jpg" alt="Orion Digital Deep Field"></a>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/915d1r" title="Untitled"><img src="https://live.staticflickr.com/65535/51155825898_2d571e12bd_k.jpg"></a>

Version MIT Starnet++. Dabei wurde die Originalversion mit Starnet++ verarbeitet und die Sterne ⭐️ entfernt. Anschließend wurde diese Version im Kontrast angehoben. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/84h839" title="Untitled"><img src="https://live.staticflickr.com/65535/51157086523_48fa5abb21_k.jpg"></a>

Hier das Ergebnis aus Adobe Photo Mix, d.h. ''Originalversion & Starnet++ Version'' über Ebenenblendung wieder zusammengesetzt.  Die Hintergrundnebel treten deutlicher hervor ohne das schwache Hintergrundsterne den Bildeindruck dominieren. Die Unterschiede sind gering, da ich eine Version gewählt habe, wo die Sterne tatsächlich noch als solche zu erkennen sind. Übertreibt man es nämlich, dann werden schwache Sterne tatsächlich zu „nebligen Hintergrundobjekten“ degradiert was tatsächlich photographische Aufnahmen ruinieren.
<<<

Die Ergebnisse sind besser als bei der reinen Einzelbearbeitung, denn dann müssen, um die Hintergrundnebel gut zu erkennen, die Tiefen angehoben werden. Dadurch treten auch sehr schwache Sterne deutlich hervor, was einen unnatürlichen Gesamteindruck hinterlässt. Deshalb macht es tatsächlich Sinn diese im Vorfeld erst mal rauszunehmen, was die Software sehr gut leistet. Im zweiten Schritt kann man dann den Kontrast und die Tiefen anheben und anschließend wieder in Photoshop zusammensetzen. Ich habe dazu die frei verfügbare Software Fotomix von Adobe genutzt. Ja mal sollte man darauf achten, dass man anschließend die Sterne wieder ausreichend zur Geltung bringt, da sonst ein seltsamer, unnatürlicher Eindruck entsteht.

Objekt: Blaauw-Danziger 1, Teleskop: 25" f/4 Newton, Vergrößerung: 454 fach, Filter:-, Bedingungen: SQM-L 22.2, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[07.06.2019|07. Juni 2019 - Tivoli Astrofarm]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/72M2am" title="Blaauw-Danziger 1"><img src="https://live.staticflickr.com/65535/48860880756_b737ecf9b6_c.jpg" alt="Blaauw-Danziger 1"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48860880761/in/photostream/]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/13959798267" title="IMG_0523"><img src="https://farm8.staticflickr.com/7343/13959798267_0e6700e6d1_k.jpg"></a>

Ich verbringe häufig einen Großteil meiner Sommerferien in der Nähe von Madrid. Im Sommer 2009 habe ich mir schließlich vorgenommen auch Deep Sky Beobachtungen zur Neumondzeit zu machen. Dazu suchte ich einen Standort mit dunklem Nachthimmel, der mir gerade noch mit dem Auto erreichbar schien. Zunächst suchte ich per Google Earth mit Lichverschmutzungslayer einige Standorte aus. In die nähere Auswahl fielen Orte wie Tragacete oder der Puerto de Cubillo. Sie waren außerhalb des "blauen Bereichs", d.h. von Lichtverschmutzung weitestgehend ausgeschlossen. Diese Orte sind aber recht weit weg von Madrid. So entschloss ich mich schließlich in der näheren Umgebung etwas genauer um zuschauen. Dazu suchte ich alternative Lichtverschmutzungskarten, die eine bessere Auflösung versprachen und traf auf die Karten von AVEX. Diese Karten zeigten die Umgebung von Huete weitestgehend von Lichtverschmutzung befreit, was sich auch in etwa bestätigte. Bei der Erkundung via INTERNET stieß ich dann auf eine Seite, die zum einen ein Teleskoptreffen ankündigte und zum anderen einen komfortablen Beobachtungsplatz mit Schutzbauten und Toilette versprach. Es handelt sich hierbei um den Vereinsstandort des [[Astronomievereins AAM|http://www.aam.org.es/]]  aus Madrid. Der Platz ist aber bis auf das Sternwartengelände für jedermann zu jeder Zeit frei zugänglich.

Am Neumondabend im August 2009 traf ich nach ca. 1h 15min Autofahrt dort ein. Es sind lediglich zwei Ortschaften am Ende zu durchqueren, so dass es zügig vorging. Am Ende verbrachte ich dort vier Nächte.
Bonilla ist ein sehr kleines Dorf in der Nähe von Huete. Etwa 1-2 km außerhalb des Dorfes abgeschirmt von direktem Licht befindet sich der Beobachtungsplatz. Er ist über einen staubigen Feldweg erreichbar, der bereits im Ortskern ausgeschildert ist.
Dort eingetroffen, traf ich zunächst niemanden an. Ich schaute mich schließlich um und erklomm den Hügel in der Nähe an dem der Feldweg endete. Dort fand ich schließlich eingezäunt ein weiteres Gelände auf dem sich zwei Gebäude befanden, von dem mindestens eines wohl eine Sternwarte sein musste. Nach Sonnenuntergang traf schließlich ein Geländewagen ein und der Fahrer - wie sich später herausstellte - wollte tatsächlich heute Nacht beobachten. Er hatte ein C9 dabei. Schließlich traf noch jemand mit dem gleichen Beobachtungsgerät ein und beide zogen sich zum Aufbau in die Schutzbauten zurück. Nach Sonnenuntergang war es immer noch unerträglich heiß. Das Thermometer zeigte noch 36 Grad Celsius an. Im Laufe der Nacht fielen die Temperaturen bis zur Morgendämmerung zwar auf 17 Grad Celsius ab. Aber bis ca. 5 Uhr blieben sie bei ca. 24 Grad Celsius sehr angenehm.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/20735343095/" title="Rising winter Milky Way and zodiacal light in Bonilla"><img src="https://farm6.staticflickr.com/5769/20735343095_31d40332ea_k.jpg" alt="Rising winter Milky Way and zodiacal light in Bonilla"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!!Die Sternwarte

Ich freundete mich schnell mit den beiden Neuankömmlingen an und baute meine "paar Sachen" in der Nähe der beiden außerhalb der Schutzhütte auf. Drinnen war es bis weit in die Morgenstunden - aus meiner Sicht - unangenehm warm, was sich vermutlich auch auf das schlechte weil ständig bewegende und nicht zur Ruhe kommende Jupiterscheibchen beim Betrachten durch das C9 bemerkbar machte. Dass Seeing war trotz der Temperaturen nicht schlecht, zumindest auf freiem Feld. Die Sterne schienen bis ca. 30 Grad über dem Horizont recht ruhig zu stehen und Jupiter bot bei Dämmerungsbeginn einen recht passablen Anblick im 3" Refraktor. Gegen 22 Uhr trafen dann weitere Autos ein. Unter anderem mit Mariano, dem Organisator der Starparty Astrobonilla. Sie fand vom 17.-24. August statt. Mariano erzählt einiges über die Veranstaltungen bis er mich schließlich fragte, woher ich käme. Als ich ihm erklärte, dass ich aus Deutschland käme, war ich erstaunt als er schließlich ins Deutsche wechselte. Wir unterhielten uns noch eine ganze Weile und auch ein Freund, mit familiären Wurzeln in der Schweiz kam dazu. Wir verabredeten uns schließlich an den Bauten auf dem Hügel etwas später, wo ich dann auch mit einem der C9 Beobachter eintraf. Dort war ein 16" Meade Dobson aufgebaute und gerade M13 beobachtet. Ich verließ mit meinem Mitbeobachter schließlich nach ca. einer Stunde die Gruppe und kehrte an das C9 zurück wo ich an diesem Abend neben Jupiter und M22 zu sehen bekam. Mehr ging leider nicht, da ich mit meinem Feldstecher 10x50 und meinem 3" Refraktor und dem 2" 40mm Übersichtsokular in der Sommermilchstraße versank. Es sollte auch dieser Abend sein, wo das SQM-L sein First Light sehen sollte.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/14146945424" title="100_2287"><img src="https://farm8.staticflickr.com/7304/14146945424_77142148b8_o.jpg"></a>

!!Beobachtungsbedingungungen

Lt. den Google Lichtverschmutzungslayer von Cinzano befindet sich Bonilla in der blau-grauen Zone, d.h. Lichtverschmutzung sollte ein Thema sein. Auch mein Beobachtungsort in Deutschland liegt in dieser Zone. Deshalb wollte ich zunächst nicht zu viel erwarten. Aber es kam ganz anders. Bereits vor der astronomischen Dämmerung erschien die Sommermilchstraße sehr rasch und war nach Einbruch der Dunkelheit von Horizont zu Horizont zu sehen. Vom Horizont bis etwa in 10 Grad Höhe war sie deutlich schwächer aber dennoch gut zu erkennen. Das SQM-L zeigte diese Nächte im Mittel im Zenit (Pegasus-Viereck) 21,6 und in Nächten bei schwacher Zirrusbewölkung 21,54 an. Richtung Süden ist der Himmel streulichtfrei. Im Nordwesten liegt Madrid und hier ist der Himmel aufgehellt bis ca. 30 Grad über dem Horizont. Im Osten ist Cuenca deutlich sichtbar, wenn auch begrenzter. Nach Mitternacht wird der Lichtdom deutlich kleiner. Im Süden sind bei ca. 45 Grad immer noch Werte von 21.54 mit dem SQM-L vorhanden. Im Norden, Osten und Westen aber lediglich ca. 21.45, also etwas weniger. Mithilfe des Karkoschkas ermittelte ich an einem Abend 6.7 mag visuelle Grenzgröße in der Nähe von Polaris, der aber hier nur ca. 40 Grad über dem Horizont steht. Der Himmel wird - zumindest in diesen Nächten zum Morgen hin besser. Die Transparenz nimmt deutlich zu. Das Morgenzodiakallicht ist eindruckvoll sichtbar, wenn auch nicht so deutlich wie auf La Palma. Der Himmel scheint visuell auch nicht so dunkel und so transparent zu sein. Mit Ausnahme der oft auch im Sommer in La Palma vorherrschenden Süd-Wetterlagen mit schlechter Transparenz, wo ein großer Unterschied dann nicht mehr besteht. M33 ist in Bonilla ab ca. 30 Grad indirekt sichtbar. Im Zenit ist M33 indirekt sehr leicht zu sehen. NGC 257 ebenso. Der Gegenschein war wegen Jupiter in Opposition nicht auszumachen, da das Himmelareal von Jupiter überstrahlt wurde. Am Morgen war dann aber die Lichtbrücke indirekt leicht auszumachen (SQM-L 21,6 (gemittelter Wert aus mehreren Messungen)). Im Feldstecher sind NGC 281 und der Pelikannebel zu erkennen. Tiefe Wolken sind aus Nordwesten kommend aber noch heller als der Nachthimmel. Ich schätze der Himmel hat Bortle 3, Welten von Bortle 5 meines Beobachtungsplatzes in Deutschland entfernt. Um so erstaunlicher ist die bereits oben erwähnte blaue Platzierung in den Cinzano Karten. Ich vermute zum einem die in Spanien bessere Transparenz des Himmels aufgrund der niedrigen Luftfeuchte, die aber noch mal deutlich gegenüber Standorten wie La Palma abfällt.
Tau war in diesen Tagen kein Thema. Max. wurden 60% rel. Luftfeuchte lt. meiner Wetterstation erreicht. In einer Nacht mit böigem Südwind waren es gar 25%. Da konnte ich auch meinen Feldstecher 10x50W ohne Probleme die ganze Nacht nutzen. An meinem Beobachtungsplatz in Deutschland ist dies in der Regel nach kurzer Beobachtung nicht möglich, da dann die Linsen bereits beschlagen.

!!Beobachtung

Zunächst standen ausgedehnte Beobachtungen mit dem bloßen Auge an. Dabei fiel mir beim Abfahren des Osthimmels ein zuvor nie gesehenes Objekt auf: NGC 752. Er ist etwas einfacher zu sehen als M33 obwohl er lt. Karkoschka die gleiche v-Helligkeit (Helligkeit bei visueller indirekter Beobachtung bei Nacht) bzw. Flächenhelligkeit wie letzteres hat (was wohl eher ein Fehler im Karkoschka sein dürfte). Im 10x50 Fernglas konnte ich erstmals zweifelsfrei den Pelikannebel beobachten, der im 3" Zoll Refraktor (Pentax SDHF 75) mit 2" 40mm XL sogar leicht zu sehen war. Im 10x50 konnte ich zudem beide Bögen des Zirrusnebels eindeutig erkennen. Den helleren Teil hatte ich sogar von meinem Beobachtungsplatz in Deutschland sehen können. Er war dort aber an der Wahrnehmungsgrenze. Der dunklere Teil war in Deutschland im 10x50 unbeobachtbar, hier aber indirekt schwach sichtbar. Weitere Objekte waren M31, wo beide Begleitgalaxien das Gesichtsfeld des Fernglases wie auch des 3 Zöllers eindruckvoll sichtbar wurden. In weiteren Beobachtungsnächten mit einer Gesamtbeobachtungszeit von ca. 25h wurde NGC 7000 länger studiert. Der OIII Filter erwies sich bei den meisten Objekten mit Ausnahme der schwierigen Teile des Zirrusnebel als nicht besonders hilfreich, da die meisten Objekte abgesehen vom höheren Kontrast kaum profitierten. Insbesondere der Vergleich des Anblicks im 10x50 und parallel im 3 Zöller bei 12facher Vergrößerung im erwähnten 40mm XL Okular war interessant. Während der Feldstecher einen schönen kontrastreichen Anblick bot, fielen im 3 Zöller sofort neben dem deutlich helleren Bild auch die Vielzahl schwacher Hintergrundsterne auf, die gegenüber dem Fernglas beim Blick durch den Pentax 75 auffielen. Am deutlichsten wurde der Vergleich bei NGC 247: Im Fernglas extrem schwach sichtbar und viel zunächst nur beim Durchschwenken des Himmelsareals als schwache geisterhafte Aufhellung auf. Im 3 Zöller bei 20 facher Vergrößerung war dies deutlich einfacher. Aber auch hier war lediglich ein schwacher Nebel ohne Struktur erkennbar. Direkt in der Nähe befindet sich NGC 253 und der Kugelsternhaufen NGC 288 südlich davon. Bei NGC 253 war ein dunkles Staubband sichtbar. Weitere Strukturen erschienen schwierig und unklar erkennbar. Überraschend einfach hingegen war NGC 288.

!!Fazit

Wer einen schnell erreichbaren Beobachtungsplatz in der Nähe von Madrid sucht, findet vermutlich hier den Besten. Im Winter kann es lt. Mariano aber bis zu -15 Grad Celsius geben. Dann soll die Durchsicht auch nochmal besser als im Sommer sein, was sich mit meiner Erfahrung in Spanien deckt. Der böige Wind ist aber mit den Schutzbauten kein Problem. Er ist auch meist das größte Hindernis in langen Nächten, wo er den Beobachter zermürben kann. Der Himmel ist darüber hinaus dunkel genug für anspruchsvolle Beobachtungen. Einen ähnlich dunklen Nachthimmel trifft man vermutlich in Deutschland kaum noch an.

Objekt: Böhm-Vitense 3 = PK 131-05.1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 430x, Filter:-, Bedingungen: SQM-L 21.4, Ort: Lange [[Rhön]], Zeitpunkt: [[03.09.2021|3. September 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/73eX33" title="Böhm-Vitense 3"><img src="https://live.staticflickr.com/65535/51464527849_074e51b95b_b.jpg" alt="Böhm-Vitense 3"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51463031632/in/photostream/]]

Objekt: Minkowski 1-8, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800x, Filter:-, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[12.01.2018|12. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/39490954404/" title="Böhm-Vitense5-1"><img src="https://farm5.staticflickr.com/4759/39490954404_caf359a0bd_c.jpg" alt="Böhm-Vitense5-1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/39304312245/in/photostream/]]

Objekt: Böhm-Vitense 5-3, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: OIII, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[12.01.2018|12. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40203113291/" title="Böhm-Vitense 5-3"><img src="https://farm5.staticflickr.com/4613/40203113291_8ecc8f1042_c.jpg" alt="Böhm-Vitense 5-3"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28423325719/in/photostream/]]

Objekt: C/2013 US 10 (Catalina), Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter:-, Bedingungen: SQM-L 21.8, Ort: RDLM, Zeitpunkt: 09.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/25058843191/in/datetaken/" title="Catalina"><img src="https://farm2.staticflickr.com/1558/25058843191_15c2bc2f2b_o.jpg" alt="Catalina"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Version|https://www.flickr.com/photos/106029581@N02/25125764136/in/datetaken/]]

Objekt: C/2013 US 10 (Catalina), Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter:-, Bedingungen: SQM-L 21.7, Ort: RDLM, Zeitpunkt: 04.04.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/26839932580/in/datetaken/" title="Test 2"><img src="https://farm8.staticflickr.com/7099/26839932580_1a2b8bb9d8_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Version|https://www.flickr.com/photos/106029581@N02/27045940881/in/datetaken/]]

Objekt: C/2017 K2 (PANSTARRS), Teleskop: 25" f/4 Newton, 
Vergrößerung: __100x__, 125x & 178x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[26./27.06.2022|26. Juni 2022 - Tivoli Astrofarm]] gegen Mitternacht

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ExX37Z3936" title="Untitled"><img src="https://live.staticflickr.com/65535/52493714532_a829d1e921_h.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52503817357/in/dateposted/]]

Objekt: C/2019 Y4 Atlas, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65 & __454x__ Filter: -, Bedingungen: SQM-L 21.8, Ort: Lange [[Rhön]], Zeitpunkt: [[19.04.2019|19. April 2020 - Thüringer Hütte]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/bJ88DM" title="C/2019 Y4 Atlas am 19.04.2020 um 23.30 MESZ"><img src="https://live.staticflickr.com/65535/50073010852_c513c6fde9_c.jpg" alt="C/2019 Y4 Atlas am 19.04.2020 um 23.30 MESZ"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49846217377/in/datetaken/]]

Objekt: C/2019 Y4 Atlas, Teleskop: 10x50 Feldstecher mit 6.5° GF, Vergrößerung: 10x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Feldberg, Zeitpunkt: [[12.07.2020 um 23 MESZ|12. Juli 2020 - Feldberg]]

<a data-flickr-embed="true"href="https://www.flickr.com/gp/106029581@N02/w81075" title="Final 2"><img src="https://live.staticflickr.com/65535/50112749591_29a7ca4bc3_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50112978722/in/photostream/]]

Objekt: C/2020 F3 Neowise, Kamera: Sony A6300 (APS-C), Objektiv: Sigma 56mm f1.4 @f2, Filter:-,  Belichtungszeit: 1x9sec, Bedingungen: Dämmerung mit Zirren, Ort: Kleiner Feldberg, Zeitpunkt: [[12.07.2020|12. Juli 2020 - Feldberg]]. Omegon Astrotracker NS, Bearbeitung in LR iOS.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50107644317/in/dateposted-public/" title="Comet Neowise at dusk"><img src="https://live.staticflickr.com/65535/50107644317_8837a064e4_k.jpg" alt="Comet Neowise at dusk"></a>

Objekt: He 2-438, Teleskop: 21" f/3.8 Dobson, Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.46, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[22.09.2022|22. September 2022 - Lange Rhön]], Seeing 2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2mT21586GB" title="He 2-438 Digital"><img src="https://live.staticflickr.com/65535/52493506015_5de833f6be_c.jpg"  alt="He 2-438 Digital"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52413252641/in/photostream/]]

Objekt: He 2-438, Teleskop: 21" f/3.8 Dobson, Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.46, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[22.09.2022|22. September 2022 - Lange Rhön]], Seeing 2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/SrqQAG51c3" title="He 2-438"><img src="https://live.staticflickr.com/65535/52500568483_31287d513c_c.jpg"  alt="He 2-438"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52499526032/in/photostream/]]

Objekt: Cannon 1-5 (PNG 002.2-09.4), Jupiter & Saturn|, 25" f/4 Dobson, Vergrößerung: 154x, Filter: OIII, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[05.06.2019|05. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/r9M986" title="Cannon 1-5"><img src="https://live.staticflickr.com/65535/51195883299_14d5df74ab_c.jpg" alt="Cannon 1-5"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51195319698/in/photostream/]]

Eine gute Beobachtungsmöglichkeit auf La Palma bieten auch viele Casas Rurales (Landhäuser). Hier handelt es sich zumeist um meist abgelegene kleine Wohnhäuschen, die gerade in mittleren Höhenlagen im Nordwesten einen guten Kompromiss zwischen Bequemlichkeit und Himmelsqualität bieten. Der Himmel unterscheidet sich gegenüber dem auf dem Roque wenig bis gar nicht, ausgenommen dem Seeing. Dies ist aufgrund der höheren Tagestemperaturen und der Termik an den Berghängen vor allem in der ersten Nachthälfte nicht so gut. Aufgrund des steilen Geländes sind Plätze mit perfekter Rundsicht auf La Palma eher selten. Für Naturliebhaber ist eine Nacht inmitten der herrlichen Landschaft aber auch schönes Erlebnis und manchmal auch eindrucksvoller als auf dem kargen und windigen Roque. 

Objekt: Cassiopeia A, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter: OIII, Bedingungen: SQM-L 21.96, Ort: Roque de los Muchachos, Zeitpunkt: [[24.01.2017|24. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32729859372/in/datetaken/" title="Cassiopeia A"><img src="https://c1.staticflickr.com/3/2183/32729859372_6dfcaf7db6_b.jpg" alt="Cassiopeia A"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32842178636/in/datetaken/]]

Objekt: R Aquarii - Ced 211, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.8 , Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[04.07.2022|04. Juli 2022 - Tivoli Astrofarm]], Seeing 2-4

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/hpNZN4" title="Untitled"><img src="https://live.staticflickr.com/65535/52209618097_fd35b07be1_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52220846775/in/dateposted/]]

Objekt: CRL 618 - Westbrook Nebel, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 418x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Athos Star Campus]], Zeitpunkt: [[20.09.2020|20. September 2020 - La Palma]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3fpv3m" title="CRL 618 - Westbrook Nebel"><img src="https://live.staticflickr.com/65535/50495498772_215f87f6a0_c.jpg" alt="CRL 618 - Westbrook Nebel"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50495498762/in/photostream/]]

Objekt: Sterbild Fuhrmann, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: Sigma 56mm f1.4 @f2, Filter: STC Multispectra Clip-Filter,  Belichtungszeit: 3x10x60 sec (Mosaik aus 3 Panels), Bedingungen: SQM-L 21.7, Ort: [[Roque de los Muchachos (RDLM)]], Zeitpunkt: [[22.01.2019|22. Januar 2020 - La Palma]] kurz vor Mondaufgang. Omegon Astrotracker NS, Bearbeitung in Sequator, MS ICE, PS CS2, LR iOS.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/49534854277/" title="Fuhrmann"><img src="https://live.staticflickr.com/65535/49534854277_60b5d234d7_k.jpg" alt="Fuhrmann"></a>

Links oben ist Simeis 147 ganz schwach erkennbar.

Die beste mir bekannte Webseite zum Thema visuelle Deep Sky Beobachtungen.

{{!!url}}

<<<
Die Beobachtungsgeräte werden immer größer und die Beobachtungen und Zeichnungen dazu auch. Eine echte Inspiration diese Seite. Viele wertvolle Tipps und Anregungen für alle Geräteklassen.
<<<

Objekt: Dengel-Hartl 4, Teleskop: 25" f/4 Newton, 
Vergrößerung: 100 & 178x, Filter: OIII & UHC, Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[6. & 7.08.2018|7. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47326031161/in/dateposted-public/" title="Dengel-Hartl 4"><img src="https://farm8.staticflickr.com/7900/47326031161_c5b7faab07_c.jpg" alt="Dengel-Hartl 4"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32384066927/in/dateposted-public/]]

____Objekt: Dengel-Hartl 5, 14" f/4.6 Dobson, Vergrößerung: 65x, Filter: OIII, Bedingungen: SQM-L 21.6, Ort: [[Rhön]], Zeitpunkt: [[15.08.2021|14. August 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/MV0FB7" title="Dengel-Hartl 5"><img src="https://live.staticflickr.com/65535/51383894403_8b820d5c55_b.jpg" alt="Dengel-Hartl 5"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51383643631/in/photostream/]]

Ja, ich weiß...einen Beobachtungsstuhl baut man sich selber. Na, ja wenn man kann und nicht wie ich zwei linke Hände hat. 

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;">  <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ik3021" title="Untitled"><img src="https://live.staticflickr.com/65535/50543936353_76c6cf4b80_h.jpg"></a></div>

!Warum eigentlich Beobachtungsstühle? 

Bei der Deep Sky Beobachtung ist man in der Regel länger mit einem Objekt beschäftigt als bei der Tagbeobachtung. Dies liegt vor allem daran, dass die Objekte deutlich lichtschwächer sind und ihre Geheimnisse erst nach einer Weile preisgeben. Das Stichwort ist indirekte Beobachtung und dafür braucht man einfach „Sitzfleisch“. Jetzt kann man natürlich einfach im Stehen – manche sagen auch „aktiv“ – beobachten oder sich einfach auf seinen Hintern setzen und entspannt genießen. Ich bevorzuge letzteres.

!Fußtritt aus dem Baumarkt 

Ich habe bisher einen Fußtritt genutzt. Für den Rücken gar nicht zu empfehlen, wenn man darauf sitzt. Also musste nach Jahren was Neues her. Es wurde aufgrund der o.a. Erfahrungen der Nix II von Berlebach. Ich habe auch gleich noch den Fußtritt mit bestellt, denn sowas erscheint mir sehr sinnvoll.

!Berlebach?

Also: „[[Nix II|https://www.berlebach.de/de/?bereich=details&id=99]]“. Bekannt und verbreitet ist der „[[Charon|https://www.berlebach.de/de/?bereich=details&id=344]]“. Den habe ich auf verschiedenen Astrofarmen angetroffen und auch genutzt. Irgendwie hat er mir nie so recht gefallen. Das Sitzbrett muss gut verankert sein, sonst fällt es beim Draufsetzen raus. Auf glattem Untergrund rutscht der Stuhl auch. Ich vermute, dass die Spreizung dann nicht ausreicht, um ein Verrutschen zu verhindern.

Zu dem Thema gibt es verschiedene Anbieter auf dem Markt, so unter anderem Teleskop Express, Intercon Spacetec sowie eben Berlebach, wenn man zumindest etwas leichtes und aus Holz sucht. Ich wollte einen Stuhl, der möglichst hoch ist und auch eine gepolsterte Sitzfläche hat. Denn wenn man einfach so auf einem Brett länger sitzt, kann einem schon der Hintern mächtig weh tun. 

Der Stuhl kam schließlich verpackt in einem Karton und die Sitzfläche sowie das Fußbrett ließen sich im Nu montieren. Am Anfang hatte ich etwas Schwierigkeiten das Prinzip zu verstehen. Die mitgelieferte Bedienungsanleitung half dabei leider nur sehr begrenzt. Aber am Ende hatte ich den Dreh raus und verstanden was man zu tun hatte. Das Prinzip ist im Grunde genommen einfach: im zusammengeklappten Zustand wird die Sitzfläche beziehungsweise die Fußstütze einfach über den (zusammengeklappten) oberen Teil eingesetzt und gleitet dann über eine gerasterte Lauffläche nach unten. Dabei wird die Sitzfläche gegenüber der Lauffläche etwas verkantet. Also einfach, wenn man es denn verstanden hat. So kann man die Sitzfläche später auch wieder entfernen.

Am [[6. November|6. November 2020 - Lange Rhön]] hatte ich die erste Möglichkeit, den Stuhl tatsächlich bei der Beobachtung zu nutzen. Er funktioniert sehr gut! Einzig die Schutzkappen, die sich an den Füßen befinden und aus Gummi sind, können schnell verloren gehen. Sie sind nur auf das Holz übergestülpt.

Wichtig war mir, dass ich sogar bis in den Zenit auf dem Stuhl sitzen kann. Das ist tatsächlich der Fall. Zumindest an meinem Gerät.

Etwas hakelig gestaltet sich die Verschiebung der Sitzfläche insbesondere nach oben. Dazu muss man auf beiden Seiten den selbsthemmenden Klemmmechanismus durch „rausdrücken“ aufheben und kann dann erst die Sitzfläche nach oben ziehen. Nach unten geht es bedeutend einfacher. Dieser Mechanismus hat allerdings den Vorteil gegenüber dem einfachen Einstecken der Sitzfläche in vorgefertigte Schlitze, dass die Sitzfläche immer mit dem Stuhl verbunden bleibt und nicht herausfallen kann.

!Vor- und Nachteile 

''+'' sehr gute Verarbeitung <br>
''+'' gepolsterte Sitzfläche <br>
''+'' Fußraste gegen geringen Aufpreis erhältlich <br>
''+'' geringes Gewicht (gefühlt) <br>
''+'' max. Höhe ca. 1m <br>

''-'' Mechanismus zum Verstellen der Sitzfläche etwas hakelig <br>
''-'' kippelt beim Aufsteigen <br>
''-'' hoher Preis auch im Vergleich mit anderen Modellen <br>

Langfristige Praxiserfahrung fehlen mir noch, deshalb wird dieser Artikel möglicherweise noch mal ergänzt.

In Deutschland beobachte ich häufig im Taunus und mittlerweile auch in der Rhön.

!Lichtabschwächung durch die Erdatmosphäre - Die Extinktion Teil 1

Die Transparenz ist bei astronomische Beobachtungen sehr wichtig. Sie ist hoch, wenn die Trübung der Atmosphäre gering ist. Wissenschaftlich gesprochen spricht man in diesem Zusammenhang auch von der Lichtabschwächung insgesamt, beim Durchlauf „einer Atmosphäre“ oder auch anderen Medien, wie z.B. interstellaren Staub. Der Fachbegriff in diesem Zusammenhang ist ''Extinktion''.

Je höher die Transparenz ist, desto geringer ist die Extinktion. Dabei bedeutet Extinktion übersetzt „Abschwächung“ und hier möchte etwas über Abschwächung des „Sternenlichts“ durch die Erdatmosphäre schreiben. Denn die Extinktion ist ein maßgeblicher Faktor - neben dem Seeing - bei der Auswahl eines Beobachtungsstandortes und sie wird wird von den Profis im Rahmen von „Site-Testings“ ermittelt.

!!Extinktion eines Beobachtungsorts

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/69Mg59" title="Untitled"><img src="https://live.staticflickr.com/65535/50753286018_6d9b7d1fbb_h.jpg"></a>Extinktion am Bsp. des Calar Alto (2200 m üNN) in der Nacht vom 23. auf den 24. Dezember 2020 gemessen durch das CAVEX. Oben wird der Extinktionskoeffizient in $$mag\ Airmass^{-1}$$ angegeben. Unten ist die Intensität des Referenzsterns in % angegeben.</div>

Jeder Beobachtungsort hat seinen eigenen „Extinktionskoeffizienten“, der ein Maß für die Lichtabschwächung durch die Erdatmosphäre ist. Er wird in der Regel in Magnituden je Airmass (Luftmasse) angegeben. Dabei entspricht ''einer Luftmasse die Atmosphäre im Zenit über einem Beobachter'' oder anders ausgedrückt der ''vertikalen Luftsäule'' über ihm. Außerhalb des Zenits nimmt die Luftmasse entsprechend der Sichtlinie zu. 

!!Die Extinktion ist variabel und setzt sich aus drei Komponenten zusammen 

Die Extinktion variiert und hat Minimums- sowie Maximumswerte, sogar während einer Nacht.

Die Extinktion setzt sich im wesentlichen aus drei Bestandteilen zusammen: zum einen der Streuung an Luftmolekülen, an Aerosolen sowie Ozonmolekülen. Letzterer kann als Beitrag fast vernachlässigt werden. 

Die Streuung an Luftmolekülen ist auch als „[[Rayleigh-Streuung|https://de.wikipedia.org/wiki/Rayleigh-Streuung]]“ bekannt und sorgt dafür, dass der Himmel blau erscheint. Aerosole sind praktisch alle Schwebstoffe in der Luft, zum Beispiel auch Staub. Letztlich lässt sich die Extinktion durch zwei Komponenten wesentlich verbessern: zum einen durch die Höhe des Beobachters über dem Erdboden und zum anderen durch möglichst wenig Aerosole in der Atmosphäre über dem Beobachtungsort. Manchmal lässt sich auf die Aerosole bei der Wahl des Beobachtungstandortes kein Einfluss nehmen, z.B. dann wenn es auf der Erde zu einem massiven Vulkanausbruch gekommen ist, der Staub und Asche bis in hohe atmosphärische Schichten befördert hat. In solchen Fällen kann man zum Teil bis mehrere Jahre die Auswirkungen zum Beispiel bei „knallroten“ Sonnenuntergängen oder einer sehr farbigen Dämmerung praktisch beobachten. 

Für die Extintion lässt sich folgende lineare Beziehung angeben:

$$m(X)=m_0 + k*X$$, 

wo $$m$$ die scheinbare Helligkeit eines Objekts ohne Atmosphäre in Magnituden ($$mag$$), d.h. der Sternhelligkeit gemessen, z.B. vom Orbit der Erde aus. $$X$$ ist die „Sichtlinie“, die ein Beobachter beim Betrachten eines Objekts hat. $$m_0$$ ist die Helligkeit des Objekts im Zenit. $$K$$ ist der Extinktionskoeffizient (erster Ordnung) und das Maß für die Abschwächung des Sternenlichts. 

$$X= \frac{Airmass}{cos(Z)}$$ wobei $$Z$$ der Winkel ist zwischen dem Zenit und dem Beobachtungsobjekt. 

Dabei lässt sich $$k$$ in drei Komponenten zerlegen:

$$k(\lambda)=k_R(\lambda)+ k_{O_3} (\lambda) + k_D(\lambda)$$, wobei $$k_R$$ für den Anteil der Rayleigh-Streuung steht, $$k_{O_3}$$ für die Streuung an Ozonmolekülen und $$k_D$$ für Streuung an Dunstpartikeln bzw. Aerosolen. $$\lambda$$ steht für die Wellenlänge des einfallenden Lichts.

Die folgende Tabelle zeigt typische Werte für $$k$$ in Abhängigkeit von der Wellenlänge des Lichts. Zu Grunde gelegt ist das bei Profiastronomen verwendete [[UBV-System|System]] bzw. deren modernere Erweiterung, das UBVRI-System. Mit entsprechenden Filtern werden astronomische Objekte (z.B. Sterne) abgelichtet, um deren Farbindizes eindeutig zu bestimmen bzw. Objekte allgemein aufzunehmen. Mittlerweile wird das erweiterte UBVRI-System verwendet, wobei hier Rot und Infrarot hinzugekommen sind.

Kurzwelligeres Licht wird dabei stärker durch die Atmosphäre gestreut (Rayleigh-Streuung), als langwelligeres, wie z.B. Rot. Im V-Band, was ungefähr bei gelb (ca. 540 nm) liegt, wird $$k$$ - und damit die Abschwächung - mit $$mag\ Airmass^{-1}$$ angegeben.

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/s0wYH7" title="Calima La Palma"><img src="https://live.staticflickr.com/65535/50755724641_d539f4d8a9_h.jpg" alt="Calima La Palma"></a>Mars hat einen kräftigen Hof. Es herrscht starke Calima am 22. September 2020 auf La Palma und auch die Sterne am Horizont sind kaum auszumachen.</div>

|!Band|!$$k$$ in $$mag\ Airmass^{-1}$$ |
|U = UV|0.6|
|B = Blau|0.4|
|V = Visuell|0.2|
|R = Rot|0.1|
|I   = Infrarot|0.08|

Die Extinktion ist auf Bergen geringer als auf Meereshöhe. Dies liegt vor allem daran, dass die Staubeinträge aufgrund des tiefer liegenden Inversionslayers meist viel geringer sind. Auf Meereshöhe wird ein Wert von etwa 0.28 $$mag\ Airmass^{-1}$$ (Quelle: Wikipedia) angegeben. Auf hohen Bergen sinkt diese um fast 50%. Dies ist auch neben dem besseren Seeing der Grund, warum erdgebundene Teleskope auf Bergen errichtet werden.

So wird für La Palma ein Wert im langjährigen Mittel von 0.13 $$mag\ Airmass^{-1}$$ angegeben (Median 0.12). Das Observatorium (ORM) liegt dabei etwa auf 2300m über dem Meeresspiegel. Ganz ähnlich sehen die Verhältnisse auf dem Calar Alto aus. Hier liegen langjährige, statistisch ausgewertete Erkenntnisse nicht vor, allerdings gibt es eine Live- und Archivansicht zu dem Thema aus dem sich vergleichbare Werte ableiten lassen.

|!Beobachtsort|!Höhe in m üNN|!Median|!Minimum|!Maximum|
|[[Roque de los Muchachos|http://www.ing.iac.es/astronomy/observing/conditions/#ext]]|2300|0.12|0.08|1.0 bei starker Calima|
|[[Mauna Kea|https://www2.keck.hawaii.edu/inst/common/exts.html]]|4200|0.11|-|-|
|[[Calar Alto|https://www.jstor.org/stable/10.1086/522378?seq=14#metadata_info_tab_contents]]|2160|0.18|ca. 0.12|<0.4 bei Calima|
|Pico del Buitre (Javalambre) $$\ ^{[6]}$$|1956|0.17|-|ca. 0.4 bei Calima|
|Jena (um 1944) $$^{[1],\ S.\ 6}$$|143|ca. 0.5|0.3|ca. 1.0 bei Dunst|
|Cerro Paranal$$\ ^{[4]}$$|2000|0.13|-|-|

Die Zahlenangaben für Median, Minimum und Maximum sind alle in $$mag\ Airmass^{-1}$$ angegeben. Interessant sind die Zahlen insbesondere für die aktuellen Top-Beobachtungstandorte, wie dem Roque de los Muchachos und dem Mauna Kea. Die Extinktionskoeffizienten unterscheiden sich kaum. 

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/P2X00e" title="Final candidate"><img src="https://live.staticflickr.com/65535/50740411658_943aa03a62_h.jpg" alt="Final candidate"></a>Das die Rayleigh-Streuung auch nachts auftritt, kann man an der Aufnahme sehr gut erkennen. Betrachtet man bspw. die aufgehende Sommemilchstraße mit der großen Sternenwolke im Schützen, so fällt auf, dass diese stark rot gefärbt ist (links am Horizont auf ca. 8 Uhr) und so den Streuungseffekt, der rot weniger stark streut als blau auch nachts bestätigt. Zwar tritt im gleichen Zuge auch horizontnahes Airglow auf, was ebenfalls im rotbraunen Bereich leuchtet, aber dennoch kann man diesen Effekt bei hellen Milchstraßenanteilen gut erkennen.</div>

!!Vulkanausbrüche

Für den Roque de los Muchachos liegen zudem umfangreiche Messreihen vor, anhand derer sich sogar Vulkanausbrüche mit weltweiter Relevanz, d.h. wo es große Staubeinträge in hohe atmosphärische Schichten gab, identifiziert werden können. So konnte in mehreren Jahren ein Median von 0.25 $$mag\ Airmass^{-1}$$ bei solchen Ereignis gemessen werden, was einen signifikanten Anstieg darstellt. Im Falle von zwei Vulkanausbrüchen konnten Zuwächse 0.07 und 0.12 $$mag\ Airmass^{-1}$$ im Fall der Vulkane El Chichón and Mount Pinatubo gemessen werden, was bei letzterem einer Verdopplung des Medianwertes für den Roque de los Muchachos darstellt und visuell vermutlich deutlich erkennbar war. Zum Vergleich: Eine ungetrübte Atmosphäre hat theoretisch einen Wert von 0.1 $$mag\ Airmass^{-1}$$ (siehe [1] S. 6). 

!!Vergleich der Top Beobachtungsstandorte

Auf gleicher Höhe schneidet der Roque de los Muchachos sogar besser ab, als Orte am Mauna Kea, wenn man die gleichen Höhen wählt (ca. 2200m üNN) [2]. Dennoch erreicht der Mauna Kea aufgrund seiner enormen Höhe im Vergleich zu La Palma doch wiederum leicht bessere Werte. Dies rührt vermutlich daher, dass der Anteil der Rayleigh-Streuung aufgrund der Höhe bzw. des geringeren Luftdrucks nochmal einen Ticken kleiner ist (zum Vergleich 770 mbar zu 616 mbar). Zudem befindet er sich mitten im Ozean und das nächste Festland ist weit weg. La Palma hingegen liegt zwar im Meer aber dennoch in Reichweite des großen afrikanischen Kontinents. Hier schlagen sich natürlich auch immer wieder auftretende Calima bzw. Staueinträge, die von der Sahara ausgehen, in den Mittelwerten negativ nieder. 

Da der atmosphärische Druck linear in die Formel eingeht, ergibt sich im Gegensatz zum Roque ein Vorteil von $$\frac{616}{770} = 0.8$$ beträgt, was aber innerhalb der üblichen Fehlertoleranzen bleibt und deshalb vermutlich auch kaum zum Tragen kommen dürfte, wie man auch den Medianwerten erkennen kann.

Der Calar Alto ist u.a. aufgrund der zunehmenden Luftverschmutzung zwar kein Top Beobachtungsstandort mehr, bezüglich der Extinktion aufgrund von Saharastaub zeigt sich allerdings eine „Verwandtschaft“ zum Roque de los Muchachos. Auch er wird im Sommer wie praktisch die gesamte kanarische Inselgruppe vom Calima heimgesucht, d.h. wenn Saharastaub das spanische Festland und die kanarischen Inseln ab Juni bis September immer wieder erreicht und es zu einer deutlichen Eintrübung der Atmosphäre kommt.

!!Erdgebundene optische Teleskope werden in mittleren Höhen gebaut

Wir haben gesehen, dass die Extinktion i.W. von den zwei Komponenten der $$k_R(\lambda)$$ und $$k_D(\lambda)$$ dominiert werden. Ersterer hängt vom Luftdruck ab, wobei die zu erzielenden Vorteile bspw. im Vergleich von 2000 m und 4000 m den Aufwand möglicherweise nicht rechtfertigen. Eine Verbesserung bezüglich des Höhenvorteils bringt einfach zu wenig, zumindest im V-Band. $$k_D(\lambda)$$ hingegen hängt konkret vom Beobachtungsort und den Bedingungen ab. Sofern keine großen Wüsten in der Nähe liegen, sind die Werte für die Dunstextinktion fast überall niedrig, denn Dunst findet sich häufig unterhalb des Inversionslayers und darüber kaum.

!!Standorte am Meer sind im Vorteil

Insgesamt muss man sagen, dass viele der Top Sternwarten in Küstennähe liegen. Vermutlich liegt es auch daran, dass die Transparenz der Luft über dem Meer deutlich besser ist als über dem Festland. Ursächlich ist hierbei vermutlich Staub, der durch den Wind vom Boden aufgewirbelt wird und so dauerhaft die bodennahe Atmosphäre eintrübt. Dies lässt sich eindrucksvoll anhand von Fotos von Orten in der Sahara belegen, wo man im Winter einen sehr transparenten und stahlblauen Himmel vorfinden kann, der aber ab etwa Mai bis Juni bis zum Winter dann einem grau-blauen Himmel weicht, denn speziell im Sommer nehmen vermutlich aufgrund der Thermik die Windgeschwindigkeiten in der Sahara deutlich zu. In diesem Zuge kommt es vermutlich auch zu den berüchtigten Staubstürmen, deren Staubeinträge dann das spanische Festland und auch die kanarischen Inseln erreichen und sogar bis zum südamerikanischen Kontinent nachweisbar sind.

!!Und was heißt das Ganze bezogen auf Deutschland?

Aufgrund der Tatsache, dass es in Deutschland mittlerweile keine Observatorium mit wissenschaftlichen Beobachtungsbetrieb mehr gibt, liegen auch keine Daten zur Qualität des Nachthimmels und damit auch der Extinktion vor. Eine Ausnahme stellen entsprechende Arbeiten aus den vierziger Jahren des letzten Jahrhunderts dar [1]. Unklar ist, wie sich die Ergebnisse von damals auf die aktuelle Lage übertragen lassen. Aerosoleinträge zur damaligen Zeit waren hauptsächlich lokaler Natur, insbesondere getrieben durch Industrie bzw. private Haushalte (z.B. Kohleheizung). Vermutlich kann der Straßenverkehr vernachlässigt werden. Aber auch zur damaligen Zeit hatte man auch häufiger mit Nebel- und Hochnebellagen zu tun.

Unser Himmel ist dominiert von Lichtverschmutzung und dem „üblichen Wetter“. Aerosoleinträge kommen bei uns hauptsächlich durch die Industrie und den Verkehr und so kann man empirisch anhand meiner eigenen Beobachtung festhalten, dass wenn eine Wetterlage sehr transparente Luft heranführt i.d.R. 24 Stunden später bereits eine deutliche Verschlechterung der Transparenz visuell am Taghimmel wahrnehmbar ist. Weicht man in die Mittelgebirge aus mit Höhenlagen um 900 m, dann können die Bedingung auch schon mal ein paar Tage überdauern. Dies ist aber meist sehr selten. Im Winter kämpfen wir in der Regel mit Nebel oder Hochnebel. Dieser sorgt natürlich auch für eine enorme Extinktion. Nicht zu unterschätzen ist zu dem die Pollenlage im Frühjahr. Auch dann ist mit einer deutlichen Verschlechterung der Extinktion insbesondere im Flachland zu rechnen. Hier kann man aber gut auf Mittelgebirgslagen ausweichen, in denen der Frühling oft erst sehr spät Einzug hält und bei einer entsprechenden Wetterlage Pollen aus dem Flachland deutlich weniger auftreten.

!Empirische Bestimmung der Extinktion 

Die Extintion lässt sich empirisch recht gut bestimmen indem man versucht die Sonne beispielsweise mit dem Zeigefinger abzudecken. Je stärker der sich zeigende Hof ist, desto mehr Aerosole befinden sich in der Luft. 
Eine andere gute Methode ist den Erdschatten beim Aufgang zu beobachten. Zeigt er sich kontrastreich, so ist die Transparenz gut und die Anzahl der Dunstpartikel gering.

[1] - [[J. Wempe - Die Wellenlängenabhängigkeit der atmosphärischen Extinktion|http://adsabs.harvard.edu/full/1947AN....275....1W%5D%5D%5D%5D, Astron. Nachrichten 1947]]<br>
[2] - [[Atmosphere Extinction at the ORM on La Palma: A 20 yr Statistical Database Gathered at the Carlsberg Meridian Telescope, ALEJANDRO GARCÍA-GIL et al.|https://www.researchgate.net/publication/46586365_Atmosphere_Extinction_at_the_ORM_on_La_Palma_A_20_yr_Statistical_Database_Gathered_at_the_Carlsberg_Meridian_Telescope]]<br>
[3] - [[Ein Beitrag zur atmosphärischen Extintion, H. K. Petzold, Max Planck Institut für Physik der Stratosphäre, Weissenau, 1952|http://adsabs.harvard.edu/full/1952AN....281...17P]]<br>
[4] - [[Optical atmospheric extinction over Cerro Paranal, F. Patat, S. Moehler, K. O’Brien, E. Pompei,  T. Bensby, G. Carraro, A. de Ugarte et al.|https://www.aanda.org/articles/aa/pdf/2011/03/aa15537-10.pdf]]<br>
[5] - [[ORM Site Quality, Chris Benn, 1987-2020|http://www.ing.iac.es/astronomy/observing/conditions/#ext]]<br>
[6] - [[Site testing of the Sierra de Javalambre. First results, M. Moles et. al|https://arxiv.org/pdf/0912.3762.pdf]]

!''Lichtabschwächung durch die Erdatmosphäre - Die Extinktion Teil 2''

Wir hatten im [[ersten Teil|Die Extinktion Teil 1]] gesehen, wie die Extinktion wirkt. Nun wollen wir sehen, wie sich das Thema praktisch, d.h. beobachtungstechnisch darstellt.

!Vergleich La Palma und Lange Rhön

In der Vergangenheit war ich häufig auf La Palma unterwegs und mein  Stammplatz in der Heimat befindet sich in der Rhön. Auf La Palma findet man für europäische Verhältnisse hervorragende Bedingungen vor. In der Rhön sind die Bedingungen für unser Hobby gut, wenn man bedenkt, dass Deutschland sehr lichtverschmutzt ist aufgrund seiner dichten Besiedlung. Ein Vergleich der beiden Standorte ist natürlich extrem, aber durchaus interessant.

<<<

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/V4gM2N" title="Artikel"><img src="https://live.staticflickr.com/65535/50868659213_51f3b62600_k.jpg" alt="Artikel"></a>Links Aufnahme auf La Palma gegen Mitternacht in einer Januar Nacht 2020. In der Mitte in dergleichen Nacht gegen morgen. Rechts Deutschland, Rhön im April 2020. Alle Aufnahmen mit STC-Multispectra Filter aufgenommen. Beobachtungsbedingungen waren bei allen drei Aufnahmen „sehr gut“.

<<<

!!Aufnahmen vom Roque de los Muchachos (links und Mitte)

Vergleich der Milchstraße unter verschiedenen Zenitwinkeln Z in einer Januarnacht auf dem Gipfel des [[Roque de los Muchachos (RDLM)]] (2400 m üNN), sowie in einer Ausnahmenacht im April in der [[Langen Rhön|Rhön]] (ca. 800m üNN). Links in Zenitnähe (Z=0°). Mitte kurz vor dem Untergang (Z=80°). Rechts, wie gesagt, vom April in der Langen Rhön. Auf beiden Bildern links fällt zudem auf, dass die Lichtverschmutzung über Teneriffa aufgrund der Abschaltung von Lichtquellen deutlich zurückgeht. Neben der Milchstraße selbst, sieht man auch sehr schön an hellen Sternen, wie die Extinktion wirkt, z.B. an Sirius. Dies gilt in gleicher Weise auch für die Deep Sky Objekte, z.B. den Rosettennebel. 

Die Beobachtungsnacht war sehr transparent und ich würde hier die optimalen Bedingungen von 0.08 $$mag\ Airmass^{-1}$$ annehmen. Erstaunlich ist vor allem, wie hell die Wintermilchstraße auf La Palma am Untergangshimmel tatsächlich noch ist.

!!Aufnahme aus der Rhön (rechts)

Rechts dann der Vergleich mit Deutschland. Auffällig ist, dass die starke Lichtverschmutzung für eine Art Schleier sorgt, der bis in den Zenit reicht. Nur hier sind die Bedingungen optimal, wobei Zenitwinkel für Beobachtungen schätzungsweise mit maximal 30° nicht überschritten werden sollten. Bezogen auf die Milchstraße lässt sich sagen, dass diese auf den Aufnahmen von La Palma hier ähnlich hoch steht, aber kaum zu erkennen ist. Gleiches gilt für die Lichtbrücke, die man überraschenderweise sogar ganz schwach von Süden nach Westen als diffusen Bogen trotzdem erkennen kann. Das ist praktisch schon sensationell, aber visuell (mit bloßem Auge) am Nachthimmel nicht nachvollziehbar, da der Kontrastunterschied zum Himmelshintergrund viel zu gering ist.

Alle Aufnahmen sind zudem mit einem Lichtverschmutzungsfilter (STC-Multispectra) aufgenommen worden, den ich eigentlich nutze, um H-Alpha Gebiete auf den Fotoaufnahmen stärker zur Geltung kommen zu lassen. Das bedeutet, dass die Aufnahme der Langen Rhön vermutlich sogar viel stärker (vom Filter) profitiert und die Bedingungen tatsächlich sogar noch etwas schlechter sind. Leider wirkt die Extinktion hier auch doppelt. Zum einen schwächt sie das Sternenlicht und zum anderen streut die Lichtverschmutzung in der Atmosphäre, die vom Erdboden ausgeht, und sorgt nicht für eine Abschwächung (die würde man nur vom Weltraum aus erkennen), sondern für den Beobachter auf der Erde für eine Aufhellung! Dadurch scheint es visuell mitunter, als ob der Himmel von einem Grauschleier überzogen ist.

<<<.tc-big-quote

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/10z525" title="Pinar de Araceli - Zirren"><img src="https://live.staticflickr.com/65535/49321058183_7c4bbf937f_h.jpg" alt="Pinar de Araceli - Zirren"></a> </div>

!!Flugzeuge am Nachthimmel & Flugzeugspuren

Rechts eine Aufnahme vom 27. Dezember 2019 unter dem normalerweise sehr dunklen und transparenten Nachthimmel der [[Sierra de Segura|Pinar de Araceli (PDA)]]. Hohe, visuell kaum sichtbare Zirren sorgen dafür, dass Flugzeuge Strichspuren von Horizont zu Horizont hinterlassen. Dies ist in der Regel an diesem Beobachtungsort eine Ausnahme, aber bei uns in Deutschland aufgrund des Wetters (Hochnebel) die Regel. 

Wichtig in diesem Zusammenhang ist auch, dass Beobachtungsorte mit Sternwartenbetrieb eindeutig im Vorteil sind: dort gilt in der Regel ein Überflugverbot. Im Falle von La Palma gibt es keine Flugrouten, die auch nur in der Nähe vorbei führen. Das ist in Deutschland ganz anders, wo man sogar nachts erhebliche Flugbewegungen am Himmel beobachten kann. Zusammen mit denen am Tage, muss man davon ausgehen, dass die Atmosphäre hier bei uns, was den Eintrag an Aerosolen durch Flugbetrieb angeht im Vergleich viel höher ist. 

Flugzeugspuren können sich am Himmel genauso fatal auswirken wie hohe Schleierbewölkung. Denn häufig kann man nachts die Flugspuren als Zirren am Himmel erkennen. Bei vorhandener Lichtverschmutzung werden diese dann vom Erdboden aus angestrahlt und sorgen 

*mit der Streuung des Sternenlichts zunächst für eine Abdunklung des Sternenhimmels und 
*gleichzeitig zu einer künstlicher Aufhellung des gesamten Himmels. 

Insgesamt zeigt sich visuell ein seifiger Himmel, der von einem Dunstschleier überzogen zu sein scheint.

<<<

!!Was ist denn aber grundsätzlich in Deutschland möglich?

Möglich ist tatsächlich viel! So gibt es natürlich sehr transparente Nächte auch in Deutschland, nur kommen die viel zu selten vor. Die Milchstraße ist dann reich strukturiert und der Himmel kann insgesamt mit den besten Beobachtungsplätzen mithalten. Nächte mit wenig Extinktion sind im Frühjahr und Sommer am wahrscheinlichsten. Im Herbst, sowie im Winter sind diese äußerst selten. 

In Südeuropa hingegen ist es umgekehrt. Dort ist die atmosphärische Extinktion von Juni bis September hingegen höher, im Winter niedrig.

<<<

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/op7658" title="Winter &amp; Sommer"><img src="https://live.staticflickr.com/65535/50830557678_554cee67cd_k.jpg" alt="Winter &amp; Sommer"></a>Links eine Aufnahme von der Wasserkuppe bei typischen Bedingungen im Herbst und Winter. Der Himmel ist seifig. Leichter Hochnebel dominiert den Himmel, wie zu dieser Jahreszeit üblich. Rechts eine (Corona-)Sommerlage ([[21.07.2020|21. Juli 2020 - Lange Rhön]]): sehr gute Transparenz, trotz heller und kurzer Sommernächte. Keine Fugzeuge! In diesem Fall kann sogar horizontnahes Airglow (grün) fotografisch beobachtet werden.

<<<

!Die Winkelabhängigkeit der atmosphärischen Extinktion

Kommen wir noch einmal zurück auf die Winkelabhängigkeit der Extinktion. Im Zenit ist sie am kleinsten und am Horizont am größten. 

Die atmosphärische Extinktion lässt sich folgendermaßen - wie in [[Teil 1|Die Extinktion Teil 1]] bereits ausgeführt – beschreiben:

$$m(X)=m_0 + k*X$$, 

wo $$m$$ die scheinbare Helligkeit eines Objekts ohne Atmosphäre in Magnituden ($$mag$$), d.h. der Sternhelligkeit gemessen, z.B. vom Orbit der Erde aus. $$X$$ ist die „Sichtlinie“, die ein Beobachter beim Betrachten eines Objekts hat. $$m_0$$ ist die Helligkeit des Objekts im Zenit. $$K$$ ist der Extinktionskoeffizient (erster Ordnung) und das Maß für die Abschwächung des Sternlichts. 

$$X= \frac{Airmass}{cos(Z)}$$, wobei $$Z$$ der Winkel ist zwischen dem Zenit und dem Beobachtungsobjekt. 

!! Rechenbeispiel - Beobachtung eines Objektes bei 45° Höhe und in Horizontnähe 

__Beispiel:__ Im Zenit ist $$Z=0°$$, so dass $$cos (0°) = 1$$ und $$X$$ = eine Luftmasse bzw. Airmass entspricht (im ff. werde ich den englischen Begriff Airmass verwenden). Dies ist im übrigen auch der Grund, warum die untergehende Milchstraße im Laufe einer Beobachtungsnacht am Horizont deutlich schwächer und diffuser wahrnehmbar ist, als zum Zeitpunkt als sie noch im Zenit stand. Nimmt man in diesem Fall beispielsweise $$Z = 45°$$ an, so geht die Airmass von 1 auf $$\sqrt{2}\approx 1.4$$, d.h. $$0.4$$ Atmosphären zusätzlich müssen nach diesem Modell vom Licht des Beobachtungsobjekts das Medium „Erdatmosphäre“ durchdringen. Da die Abschwächung gemäß der oben angegebenen Formel linear ist, ist die Abschwächung entsprechend höher:

$$\Delta m = m(X=45°) - m(X=0°)= (m_0+k*\frac{1}{cos(45°)}) - (m_0+k*\frac{1}{cos(0°)})= k* (\frac{1}{\frac{1}{\sqrt{2}}}-1)=k*(\sqrt{2}-1)=k * 0.41= 0.2\ mag* 0.41 \approx 0.08 $$ mag (im V-Band), d.h. es kommt eine zusätzliche Abschwächung von $$0.08\ mag$$ im Vergleich zur Zenitbeobachtung hinzu, wenn man das V–Band, also den Spektralbereich, der für das Auge gut wahrnehmbar ist, als Grundlage nimmt. Andersherum kann man auch wiederum sagen, dass circa 41% der Abschwächung bei Beobachtungen mit 45° Höhe des Objektes über dem Horizont im Vergleich zum Zenit dazukommen (unabhängig von der beobachteten Wellenlänge). Das ist visuell vermutlich nicht wahrnehmbar. Bei 80° Zenitwinkel bzw. 10° Höhe sind es allerdings schon $$0.95\ mag$$. 

!!Am Horizont wird nicht beobachtet! Oder doch?

Extrembeobachtungen in Horizontnähe bei lichtschwachen Objekten machen unter diesem Aspekt kaum Sinn. Bei sehr schlechten Bedingungen im Zenit (z.B. starker Calima) können es am Horizont schnell $$2\ mag$$ und sogar bis zu $$5\ mag$$ Abschwächung sein. Dies kann man mit den oben angegebenen Formeln leicht nachrechnen. Dann sind in Horizontnähe auch kaum Sterne zu sehen. Andersherum sind wiederum auch „harte Sternunter- bzw. -aufgänge“, wie sie zum Beispiel aus Namibia berichtet werden, nachvollziehbar. Legt man die optimalen Werte der ungetrübte Atmosphäre von $$0.08\ mag\ Airmass^{-1}$$ zugrunde, so ergibt sich für die horizontnahen Luftschichten $$0.40\ mag$$, also eine Zunahme von circa $$0.30\ mag$$. Dieser geringe Wert ist visuell kaum auszumachen und selbst mit der Argelander-Methode zur Bestimmung der visuellen Helligkeit von Sternen schwer nachweisbar. Dies haben zum Teil auch Beobachtungen von Cuno Hoffmeister in Windhuk in den dreißiger Jahren des letzten Jahrhunderts gezeigt [1]. Umgekehrt weist der Autor von [1] auch darauf hin, dass sehr niedrige Extinktionskoeffizienten, ähnlich denen von Namibia, in Deutschland grundsätzlich auftreten können aber ein sehr, sehr seltenes Phänomen sind und in einem beobachteten Fall tatsächlich etwa nur 48h fortdauerten. Interessant ist die Tatsache, dass das Paper [1] nunmehr vor 70 Jahren geschrieben worden ist und bereits damals transparente Nächte sehr, sehr selten waren. Das ist natürlich für den Beobachtungsstandort Deutschland doppelt bitter. Oder andersherum: oftmals ist früher doch nicht alles besser gewesen.

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Morgendämmerung in Namibia nach einer sehr guten Winternacht. Das Morgenzodiakallicht kann als helle „Pyramide“ über dem Osthorizont beobachtet werden. Selbst knapp über dem Horizont können Sterne erkannt werden. Die Magellanschen Wolken sind perfekt zu erkennen, obwohl sie „nur“ tief stehen. Die Wintermilchstraße ist trotz der geringen Höhe gut zu erkennen.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/43355493734/in/album-72157713129266403/" title="Moonlight and Milky Way"><img src="https://live.staticflickr.com/1779/43355493734_0a864cc02e_k.jpg" alt="Moonlight and Milky Way"></a>

Selbst bei Mondschein gibt es unter einem transparenten Himmel mit geringer Extinktion wie hier in Namibia noch bessere Beobachtungbedingungen als bei uns in Deutschland unter „Ausnahmebedingungen“. Sternenfreunde sind häufig überrascht, dass dieser Himmel auch dunkler ist, was durch SQM(-L) Messungen eindrucksvoll „nachgemessen“ werden kann.

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!!Unter einem transparenten Himmel steht der komplette Himmel zur Verfügung

Ist der Himmel transparent und die Extinktion gering, so kann man praktisch am gesamten Himmel sehr gut beobachten. Natürlich gibt es auch andere Parameter, die zu berücksichtigen sind, z.B. Seeing. Häufig „beißen“ sich die Transparenz bzw. gute Extinktion und das Seeing. 

Bei geringen Vergrößerungen spielt das Seeing praktisch keine Rolle. Das ist zum Beispiel beim Feldstecher der Fall. Bei geringer Extinktion kann man mit ihm sehr schön am Horizont entlang streifen. Dann eröffnen sich völlig neue Welten und Ansichten. Und aufgrund der damit verbundenen guten Transparenz muss man bei solchen Beobachtungen praktisch auf nichts verzichten. 
Umgekehrt kann es natürlich sein, dass bei schlechter Transparenz das Seeing  gut ist. Dann kann man zum Beispiel helle planetarischen Nebel, die normalerweise viel zu tief stehen und deshalb aufgrund der Luftunruhe kaum beobachtet werden können, einstellen. Wenn beides schlecht ist, also Seeing und Transparenz, ist ist es manchmal gar nicht so schlecht, Beobachtungen auf bessere Nächte zu verschieben. Man sollte jedoch grundsätzlich vorsichtig sein mit Extrembeobachtungen am Horizont: lichtschwache Objekte sollten in Zenitnähe beobachtet werden, denn nur dort zeigen sie sich bei maximaler Helligkeit.

[1] - [[Ein Beitrag zur atmosphärischen Extintion, H. K. Petzold, Max Planck Institut für Physik der Stratosphäre, Weissenau, 1952|http://adsabs.harvard.edu/full/1952AN....281...17P]]<br>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/17462116904" title="Night sky panorama taken at Tivoli"><img src="https://farm9.staticflickr.com/8859/17462116904_800cd6a62b_h.jpg" alt="Night sky panorama taken at Tivoli"></a>

Es ist mittlerweile Juni und das Wetter in Deutschland ist sehr gut. Noch immer beschäftigen uns die Auswirkungen der Corona Seuche. So fällt auch der im Juni geplante Aufenthalt in Namibia aus. Leider. Aber so ist das. Und das lässt sich ja auch nicht ändern. Ich habe den Aufenthalt um zwei Jahre verschoben. Um Zwei? Ja, denn ich hatte bereits auch schon für nächstes Jahr gebucht. Warum? Ganz einfach, dort gibt es den besten Himmel und einen Sternenhimmel 🌟 , den wir auf der Nordhalbkugel einfach nicht sehen können. Viele von uns scheuen die Mühen und die Kosten aber ich kann nur jedem empfehlen sich das mal anzuschauen. Im folgenden werde ich die wichtigsten Schaustücke der südlichen Milchstraße vorstellen, die von der nördlichen Hemisphäre aus praktisch unbeobachtbar sind.

!!Die südliche Milchstraße ist viel heller als die nördliche 

Das Zentrum mit der hellen „Schützenwolke“ kommt auf 50° nördlicher Breite gerade so über den Horizont. Auf den kanarischen Inseln steht sie bereits über 20° hoch. Das ist auch die geografische Breite, die für uns Europäer ohne größere Reisen noch gut erreichbar ist. Obwohl auch hier tief stehend, ahnt der Beobachter bereits, dass uns in Deutschland ein schöner und heller Teil verborgen bleibt. Der Versuch einer Annäherung, an diesen uns verborgenen Teil des Nachthimmels.

Die Beobachtungen, die ich in diesem Artikel beschreibe, stammen größtenteils aus meiner ersten Beobachtungsnacht 2015 in Namibia. Die Auswahl orientierte sich dabei an den von Sky Safari vorgeschlagenen Top Beobachtungsobjekten jener Nacht. 

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<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/49956476936/in/dateposted-public/" title="Southern Milky Way with the “Cross” (middle) and “False Cross” (right)"><img src="https://live.staticflickr.com/65535/49956476936_2429573059_k.jpg"></a>

Die südliche Sommermilchstraße bzw. richtigerweise „Wintermilchstraße“, denn während bei uns Sommer herrscht ist es auf der Südhalbkugel der Winter, der regiert.

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Die Aufnahme zeigt die Milchstraße in den Sternbildern Norma, Wolf und Zentaur. In der Mitte das „Kreuz des Südens“ und anschließend zum Sternbild „Schiffskiel“ (lat. Carina), am rechten Bildrand das „Achterschiff“ (lt. Puppis), der auch den riesigen GUM-Nebel beherbergt, der wiederum von den kanarischen Inseln aus sichtbar ist.

Es handelt sich um einen fantastischen Bereich unserer Milchstraße, der geradezu überschwänglich mit offenen Sternhaufen, dem hellsten Kugelsternhaufen (Omega Centauri) und hellen HII-Nebeln gespickt ist. Ein wahres Fest für das bloße Auge, den Feldstecher und auch größere Geräte.

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Beeindruckend ist der „Kohlensack“, der bereits im Feldstecher im Innern gar nicht so schwarz ist und dabei ordentlich Struktur zeigt. Der vermutlich spektakulärste Dunkelnebel am Nachthimmel überhaupt. Unweit befindet sich der η Carinae-Nebel. Beide bilden das Zentrum der „unsichtbaren Milchstraße“.

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!Teil 1 - Highlights der „unsichtbaren Milchstraße“ - Beobachtungen mit dem Feldstecher

Die für uns „unsichtbare“ Milchstraße beherbergt fantastische Deep Sky Objekte. Hier werden helle Objekte nur so aufgefahren. Sie steht im Winter auf der Südhalbkugel zu Dämmerungsbeginn hoch im Süden am Himmel, während die uns von der Nordhalbkugel bekannten Sommersternbilder noch unter dem Horizont stehen.

<div class="tc-link-info-item-large" style="float:left;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/f44710" title="„Unsichtbare Milchstraße“"><img src="https://live.staticflickr.com/65535/50005054018_5bb30c17d8_k.jpg" alt="„Unsichtbare Milchstraße“"></a>Screenshot aus SkySafari. Markiert sind die Highlights, die schon im Feldstecher sehr gut beobachtet werden können und hauptsächlich Offene Sternhaufen sind. Blickrichtung ist Süden und die Ansicht zeigt den Südhimmel kurz nach Einbruch der Dämmerung im Mai/Juni.</div>

!!Mit einem Großfeldstecher durch die „unsichtbare Milchstraße“ surfen 

In meinem Fall handelt es sich um einen Fujinon 20x150 Großfeldstecher. Highlights sind in einem solchen Gerät natürlich großflächige Objekte.

Viele Objekte kann man bereits mit bloßem Auge erkennen, so z.B. die sogenannten „südlichen Plejaden“, die südlich von Eta-Carinae zu finden sind.

!η Carinae - Region

Doch zunächst zu η Carinae selbst. Die den Stern umgebende riesige Nebelregion ist schon mit bloßem Auge gut zu erkennen. Die Region bildet neben dem Kohlensack die mit Sicherheit markanteste Region der „unsichtbaren Milchstraße“. Auch hier war ich zunächst mit dem Großfeldstecher zu Gange.

''NGC 3372 - η Carinae Nebel:'' Absolutes Highlight dieser Nacht! Heller schon mit bloßem Auge erkennbarer Nebel. Im Großfeldstecher das komplette Gesichtsfeld füllend. Der Nebel ist stark zerklüftet und sehr hell. Steht in mitten der reichen Milchstraße. Hellster Nebelteil oval. Dieser erinnert mich ein wenig an M8.

!!Die südlichen Plejaden 

''IC 2602 - Die Südlichen Plejaden:'' Großer offener Sternhaufen bestehend aus weiß-blauen, hellen und unregelmäßig verstreuten Sternen. Südlich kleiner kompakter offener Sternhaufen Mel 111 bestehend aus schwachen Sternen. Erinnert ein wenig an das nördliche Pendant, und damit sind nicht die Plejaden gemeint, sondern M35 und NGC 2158.

Ein ganz ähnlicher Sternhaufen ist IC 2391, der sich direkt neben dem „False Cross“ befindet. Dabei handelt es sich um ein Asterismus, der dem echten „südlichen Kreuz“ sehr ähnlich sieht aber etwa 10° westlich liegt und daher auch früher untergeht. Namibianeulinge verwechseln es anfänglich und erschrecken meist über die schnell verstrichene Beobachtungszeit, um dann den Irrtum zu bemerken. Das „False Cross“ ist auf den kanarischen Inseln knapp über dem Horizont in einer guten Winternacht zu erkennen und damit IC 2391 auch. Dennoch ist dieser Sternhaufen etwas für den echten Südhimmel.

''IC 2391 - Omicron Velorum:'' Schon mit bloßem Auge einfach als offener Sternhaufen erkennbar, da vereinzelt immer wieder schwache Sterne indirekt aufblitzen. Im Großfeldstecher zeigt sich ein großer offener Sternhaufen mit vielen farbigen Sternen. Von blauen bis roten Sternen ist alles vertreten. Form unregelmäßig.

<div class="tc-link-info-item-large" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/c77U5M" title="False Cross"><img src="https://live.staticflickr.com/65535/50005815247_ca64c2f39c_h.jpg" alt="False Cross"></a>Das echte und das falsche Kreuz. Das „falsche“ hat eine größere Winkelausdehnung aber seine Sterne sind dunkler. Auf der Aufnahme sind sie zwar heller aber dies ist der Tatsache geschuldet, dass während der Aufnahme an dieser Stelle eine Wolkenbank durchzog und so einen schönen Weichzeichnereffekt hinterlassen hat.</div>

Der nächste Sternhaufen ist sogar von Mitteleuropa aus sichtbar, denn er ist südlich des Sternbildes „großer Hund“ zu finden. Von Sirus ist er dabei etwa 20° entfernt.

''Collinder 135:'' Unscheinbarer offener Sternhaufen. Im Großfeldstecher wenige, aber helle Sterne zu erkennen. Schöner heller Doppelstern im Haufen erkennbar.

Beim Doppelstern im Haufen lohnt es sich sogar genauer hinzuschauen.

''Ahadi - Pi Puppis, Doppelstern in Collinder 135:'' Schöner heller Doppelstern. Ideal für den Großfeldstecher. Eine Komponente Orange und hell. Schwächere Komponente blau. Bilden ein schönes Paar.

Wie gesagt, liegt Collinder 135 auf der Grenze zur „unsichtbaren Milchstraße“. Von den kanarischen Inseln ist dieser schöne Offene Sternhaufen sehr gut beobachtbar. 

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Die Temperaturen in Namibia im Frühjahr beziehungsweise Sommer (in Namibia ist wie gesagt Winter) sind nachts in der Regel sehr angenehm verglichen mit denen die man zum Beispiel Mittelgebirgen in Deutschland haben kann. In Namibia liegen diese nach Einbruch der Dämmerung immer noch um die +15 °C und fallen die Nacht über bis ca. +6 °C. Nur in absoluten Ausnahmefällen im tiefen Winter können diese auch mal auf bis zu -6 °C fallen. Die Tiefsttemperaturen werden dabei in der Regel kurz vor der Morgendämmerung erreicht, bleiben aber bis ca. zwei Stunden vorher fast auf konstantem Niveau. 

Die Luftfeuchtigkeit verändert sich normalerweise während der Nacht kaum. Man hat dann Werte um die 30 %. Da in der Regel kein Wind herrscht, lassen sich so Temperaturen bis circa +6 °C mit einer gefütterten Jacke und ohne Winterkleidung sowie Stiefel sehr gut ertragen.

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!Rund um den „Kohlensack“

Jetzt soll es um das Kreuz des Südens gehen. Es ist tatsächlich ein auffälliges Sternbild, dass in mitten der reichen Milchstraße liegt. Grenzt unmittelbar an den berühmten Dunkelnebel, den ''Kohlensack''.

!!Doppelsterne

''Beta Cruxis - Doppelstern:'' Sehr schöner Doppelstern. Helle Komponente weiß bläulich. Dunklere Komponente viel schwächer und orangefarben.

''Alpha Cruxis - Acrux - Doppelstern:'' Sehr heller Doppelstern. Beide Komponenten leuchten weiß  und sind sehr hell. Südlich befindet sich der Dunkelnebel. Grenzt direkt an den Kohlensack.

''NGC 4755 - "Das Schmuckkästchen":'' Unregelmäßiger offener Sternhaufen. Eine Vielzahl von schwachen bis helleren Sternen mit unterschiedlichsten Farben. Hellste Komponenten bilden ein rechtwinkliges Dreieck.

!!Der „Kohlensack“

''"Kohlensack - Caldwell 99":'' Auffälliger mit bloßem Auge sichtbarer Dunkelnebel. Oval mit schwächerem Stern abseits der Mitte. Alpha Cruxis grenzt unmittelbar an den Dunkelnebel. Im Feldstecher zeigt sich ein unregelmäßiger, strukturierter Dunkelnebel, der durch helleren Streifen geteilt wird. 

''NGC 5822:'' Relativ unscheinbarer offener und lockerer Sternhaufen. Genaue Form unklar. Besteht hauptsächlich aus schwachen Sternen. Liegt etwas mehr als 1° südlich eines recht hellen Doppelsterns. Der Doppelstern ist Zeta Lupi.

''Zeta Lupi, Doppelstern:'' Doppelstern bestehend aus heller gelblichen und deutlich schwächeren, bläulicheren Komponente.

''NGC 3114:'' Schwächerer großer offener Sternhaufen bestehend aus hauptsächlich schwächeren Sternen. Form dreieckig bis oval. Zwei helle Sterne abseits des Zentrums treten auffällig hervor. 

Südwestlich des „False Cross“ ist der helle, offene Sternhaufen NGC 2516, der aufgrund seinem sehr ähnlichem Erscheinungsbild im Vergleich zu M44 auch „südliche Praesepe“ genannt wird. Hier habe ich allerdings einen 25“ Dobson eingesetzt.

''NGC 2516:'' Sehr heller Sternhaufen, der bereits mit bloßem Auge leicht sichtbar ist. Bei 100 komplett aufgelöst und ein Gewimmel aus sehr hellen überwiegend weißen Sternen. Im Zentrum einige blaue und rötliche Sterne. Beobachtet mit 25 Zoll Dobson.

Die bis jetzt beobachteten Objekte füllen eine halbe Winternacht am Südhimmel wenn die „unsichtbare“ Milchstraße kulminiert. Das letzte Objekt steht zu Dämmerungsende abends noch relativ tief am Südosthimmel ist aber vermutlich das Highlight des Südhimmels und praktisch einen Großteil der Nacht sichtbar.

!Omega Centauri

Der wohl berühmteste aller Kugelsternhaufen ist bereits mit bloßem Auge als verwaschener Stern zu erkennen. Er befindet sich nicht direkt im Milchstraßengebiet, aber gehört noch zum weiteren Umfeld.

''Omega Centauri:'' Ovaler heller Kugelsternhaufen. Bereits mit bloßem Auge als verwaschener Stern erkennbar. Bei zwanzigfacher Vergrößerung im Großfeldstecher bis ins Zentrum hinein aufgelöst. Nahe des Zentrums sind einige „Löcher“ erkennbar.

Soweit so gut. Dies ist - wie gesagt - eine Annäherung an den Südhimmel den man am besten in der ersten Beobachtungsnacht angehen kann, vorausgesetzt, man möchte im Frühjahr bzw. Sommer auf der südlichen Hemisphäre beobachten. Für mich war es tatsächlich die erste Beobachtungsnacht unter südlichen Himmel und im Anschluss kurz nach Mitternacht ging der Mond 🌓 auf.

Das Foto zeigt die „sichtbare“ Milchstraße im Gegensatz zur „unsichtbaren“. Sichtbar heißt in diesem Zusammenhang, dass sie von der nördlichen Hemisphäre aus prinzipiell gesehen werden kann, insbesondere der südlichere Teil rund um das helle Zentrum.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/c1054A" title="Summer Milky Way"><img src="https://live.staticflickr.com/65535/50040471063_dacfe2d965_k.jpg" alt="Summer Milky Way"></a>

Im zweiten Teil (zum ersten Teil kommt man __[[hier >>|Die „unsichtbare Milchstraße“ - eine visuelle Annäherung Teil 1]]__) geht es um kleinere Objekte, für die man unter Umständen ein größeres Teleskop braucht. Oben ist die „sichtbare“ Milchstraße als Gegenstück zur „unsichtbaren“ Milchstraße abgebildet, aber um die es heute hier nicht gehen soll. Denn dies ist der Teil der Milchstraße, der grundsätzlich von der nördlichen Hemisphäre aus um größtenteils auch von Deutschland aus im Sommer gut beobachtet werden kann.

!!Objekte für mittlere und größere Geräte

Die großen, hellen Offenen Sternhaufen sind für kleine Geräte bzw. den Feldstecher optimal geeignet. In der Gegend sind aber auch spektakuläre Planetarische Nebel zu finden, die aber etwas mehr Öffnung gut vertragen können. Der vielleicht spektakulärste umgibt direkt einen hellen Stern.
Mir stand in Namibia ein ''25 Zoll Obsession Dobson'' zur Verfügung, so dass alle Beobachtungen die hier erwähnt sind mit diesem Gerät gemacht wurden.

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![[η Carinae - Homunculus]]

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{{η Carinae - Homunculus}}

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!!Homunkulusnebel um η Carinae - der kosmische „Blumenkohl“

Für große aber auch schon für mittlere Geräte ist η Carinae sehr interessant. Bei η Carinae handelt es sich um einen Überriesen, der sogar einen Begleiter hat. Der Hauptstern, der in jedem Gerät auffallend und sehr hell wirkt, hat ca. 200 Sonnenmassen und erscheint orange. Bereits im 14 Zöller ist der ihn umgebene bipolare Nebel, der Homunkulusnebel schon gut zu erkennen. Dabei sollte möglichst hoch vergrößert werden. Es zeigt sich bereits in mittleren Geräten eine Art Blase, die auf der nördlichen Seite einen „blumenkohlförmigen“ Rand ausbildet. Im großen Gerät kommt schließlich auch teilweise die Farbe hinzu. Dann leuchten die hellsten Nebelteile orange und das sogar recht auffällig. Für die Beobachtung ist gutes Seeing unerlässlich.

Ein weiterer Kandidat ist der so genannte „Bumerangnebel“. Er ist in den gängigen Planetariumsprogrammen, zum Beispiel wie Sky Safari interessanterweise nicht enthalten. Dennoch kann er anhand seiner Position recht gut aufgefunden werden. Er ist auch nicht zu dunkel, um gegebenfalls übersehen zu werden. Es handelt sich tatsächlich um einen bipolaren Nebel, der mit einer Temperatur von nur 1 K aktuell als der kälteste Ort im Universum angesehen wird. Der Nebel befindet sich im Sternbild Zentaur.

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![[IRAS 12419-5414 - Boomerang Nebel]]

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{{IRAS 12419-5414 - Boomerang Nebel}}

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[[IRAS 12419-5414 - Boomerang Nebel]]: „Schon bei 100 fach gut zu erkennen. Bipolarer Nebel. Leicht gebogene Grundform. In der Mitte steht ein recht heller Stern. Zu beiden Seiten gehen zwei dreiecksförmige Fächer ab. Einer deutlich heller.“

Die unsichtbare Milchstraße beherbergt weitere interessante Objekte. Vor allem Planetarische Nebel. Viele sind gar nicht in den gängigen großen Katalogen enthalten. Trotzdem sind sie relativ hell, z. B. dieser hier:

[[Hoffleit 4]]: „Kleiner, runder und schwacher Nebel. Keine Strukturen und auch kein ZS. Sieht aus wie ein Abell. Kann bis 454 fach vergrößert werden. Optimale Vergrößerung aber 278 fach [...] Heute bei sehr guter Transparenz besser. Optimale Vergrößerung ist 454 fach. Es zeigt sich ein langgezogener Nebel mit leicht glimmenden Rand. Längsseitig zeigt sich immer wieder auf der Mitte des Randes ein Knoten. Das Objekt bleibt schwierig.“

Und jetzt wieder zu einem Objekt aus dem Standard NGC Katalog. Das Objekt hat es tatsächlich in sich. Man braucht Geduld und darf nicht schnell aufgeben, sonst zeigt sich außer einem hellem Nebelball nichts.

[[NGC 5315]]: „Bei 100 fach schon als verdächtiges Objekt identifizierbar. Stellar, aber mit leichtem Halo. Bei 670x wird ein runder und bei geduldiger Beobachtung eher ovaler heller Kern sichtbar. Dieser ist einen diffusen Halo eingebettet in den ca. 4 diffuse X-förmige Ansen hereinragen. Beobachtet man den Kern genauer, so fällt auf, dass knapp neben dem hellen strukturlosen Zentrum ein kleiner, stellarer Kntoen zu erkennen ist. Habe auch auf 1200x vergrößert. Dann aber sind die Ansen kaum noch zu erkennen und das Objekt verliert insgesamt an Details. Seeing 1.“

Das nächste Objekt ist sogar was für Exoten. Aber so exotisch ist es wiederum doch nicht.

Ganz in der Nähe steht der Planetarische Nebel [[Mayall-Cannon 18]]: „Es zeigt sich zunächst ein Stern mit einem kleinen, hellen Halo. Reagiert sehr gut auf OIII. Bei ca. 1200 fach zeigt sich immer wieder ein kleiner Ring, der sich an einen Stern in dessen Mitte anschmiegt. Beide umgibt wiederum ein schwächerer Halo, der bei niedriger Vergrößerung das Objekt dominiert. Abgehende Schweife sind auch bei niedrigerer Vergrößerung mit und ohne OIII nicht zu sehen. Seeing 1-2.“

<div class="tc-link-info-item" style="float:left;margin-right:15px; margin-bottom:15px;">

![[NGC 5189]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 5189}}

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Ein wirklich spektakulärer Planetarischer Nebel ist [[NGC 5189]], der zu komplex erscheint um ihn detailliert zu beschreiben. Dennoch im Sternenfeld eine sehr beeindruckende Erscheinung.

Ein weiterer sehr bekannter und auch heller Planetarischer Nebel ist [[Shapley 1]]. Er ist im Sternbild Norma zu finden und auch in kleineren Geräten bereits sehr gut zu erkennen: „Heller Rauchring schon bei 100 fach. Heller ZS zu erkennen. Mittig dunkler, aber mit feinem, kaum wahrnehmbaren Nebel. Westseite deutlich heller. Östlich auf dem Rand ist ein Stern zu erkennen.“

Im Sternbild Vela findet man [[Drilling 1]]: „Bei 100 fach runder Glow um einen Stern. Bei 178 fach und OIII wird eine Fahne, deren Helligkeitsmaximum auf dem Rand liegt, erkennbar. Sonst, groß und diffus.“

!!Grenzgänger

<div class="tc-link-info-item" style="float:right;margin-left:15px; margin-bottom:15px;">

![[NGC 6302 - Bug Nebel]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 6302 - Bug Nebel}}

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Ein richtiger Exot ist schließlich [[Longmore 16]]. Es gibt tatsächlich nur wenige Beobachtungen, obwohl dieser Planetarische Nebel recht hell ist. Trotzdem ist der unter Beobachtern offenbar kaum bekannt. Dennoch lohnt die Beobachtung: „Schon bei 100 fach ist dieser Planetarische Nebel einfach erkennbar. Allerdings zeigt sich zunächst eine diffuse Spindel, die inmitten eines Sternfeldes liegt. Zur Mitte hin heller werdend und mit diffusem Zentrum. Bei geduldiger Beobachtung zeigt sich schließlich ein leicht ovaler, fast runder, diffuser Nebel, der in der Mitte den beschriebenen Balken hat. Balken ist fast N-S orientiert. Reagiert auf OIII, so dass man eine Galaxie ausschließen kann. Trotzdem ohne Filter besser. 454 fache Vergrößerung. Seeing 3-4.“

Der Nebel steht im Sternbild Skorpion und ist somit an der Grenze zur unsichtbaren Milchstraße zu finden. Von südlichen Gefilden aus ist er bereits mit Teleskopen erreichbar. Ein weiterer, sehr bekannter „Grenzgänger“ ist der „Bug“-Nebel oder auch [[NGC 6203|NGC 6302 - Bug Nebel]]: „Sehr komplexer Nebel! Er zeigt sich schon bei 100 fach als kleines Insekt. Wie ein „Ohrenkneifer“ sieht er aus! Es zeigt sich ein sehr helles Zentrum, das oval ist. Von hier gehen mehrere Zangen ab mit hellen Knoten. Östlich zwei lange schwache „Schwänze“, wobei einer deutlich länger und mit helleren Knoten. Das Seeing ist phasenweise sehr gut. Seeing 1-2.“

!!Obst unterm Sternenzelt

Im Sternbild Carina ist schließlich sogar  eine „Zitrone“ oder wahlweise ein „Apfel“ zu erkennen. Es handelt es sich dabei um [[NGC 2867]]: „Blaugrüner, heller Nebel bei 100 fach. Bei 670 fach zeigt sich zunächst ein runder Nebelring, der im Innern gefüllt ist. Bei geduldiger Beobachtung erscheint der Ring nach Südwesten hin abgeschnitten und der runde Eindruck des Nebelrings ändert sich und der abgeschnittene Teil zeigt sich geradlinig, in dessen Mittelpunkt, etwas versetzt zur Mitte des Nebels hin, ein heller Knoten sichtbar wird. Mit OIII wird der Nebel nochmal heller und bei geringerer Vergrößerung von 280 fach zeigt sich ein schwacher Halo, der vom Radius her etwa den dreifachen Nebeldurchmesser entspricht.“

Entdeckt wurde dieser von John Herschel. Dabei dachte dieser wohl einen neuen Planet entdeckt zu haben.

Ebenfalls recht hell erscheint [[NGC 2818]]: „Bei 100 fach zeigt sich der PN in einem reichen Sternfeld eines offenen Sternhaufens. Bei Steigerung der Vergrößerung auf 670 fach werden zwei parallele Balken sichtbar, die zur Mitte Wulste nach Innen bilden und mit helleren Knoten versetzt sind. Innere ist mit schwachen Nebel gefüllt. Auf den Kanten zeigen sich Knoten und teilweise sehen diese tatsächlich gemottelt aus. Filter helfen hier kaum weiter.“

Der Südhimmel beherbergt viele weitere interessante Objekte. Hier sollte es ja zunächst mal um solche gehen, die nahe der Milchstraße zu finden und damit Bestandteil der „unsichtbaren Milchstraße“ sind. Mit anderen prominenten Objekten, wie zum Beispiel den Magellanschen Wolken mit ihren eigenen Welten, kann man noch viele Artikel füllen. 

Digitale Zeichnungen erstelle ich auf dem iPad. Dabei nutze ich die App  „Pro Creator“ zusammen mit dem Apple Pencil. Die Ergebnisse sehen dabei fast so aus wie echte Zeichnungen mit Bleistift auf Papier. Aktuell bin ich noch am experimentieren, aber ich denke, dass ich zukünftig ausschließlich digitale Zeichnungen anfertigen werde. Dies ist aus unterschiedlichen Gründen deutlich einfacher. Zu gegebener Zeit mehr dazu…

Folgende Objekte habe ich bereits digital gezeichnet:


<div class="tc-link-info">

<$list filter="[tag[Digitale Zeichnung]] +[!sort[created]limit[15]]">

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Objekt: Doppelschattendurchgang von Ganymed und Io vom 05.06.2019, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: 25" Zoll Newton, Filter:-, Blende: f4, Belichtungszeit: 1/250 sec, Afokale Aufnahme durch den 25 Zoll Dobson mit Baader FFC, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[05.06.2019|05. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/w813LT" title="Doppelschattendurchgang von Ganymed und Io vom 05.06.2019"><img src="https://live.staticflickr.com/65535/48242067631_6aa9190d5c_h.jpg" alt="Doppelschattendurchgang von Ganymed und Io vom 05.06.2019"></a>

Objekt: Drilling 1, Teleskop: 25" f/4 Newton, 
Vergrößerung: 178x, Filter: OIII, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[26.05.2019|26. Mai 2019 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48388938731/in/dateposted/" title="Drilling 1"><img src="https://live.staticflickr.com/65535/48388938731_59e7740db5_c.jpg" alt="Drilling 1"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48388938756/in/photostream/]]

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31020159248/in/dateposted-public/" title="Untitled"><img src="https://farm2.staticflickr.com/1918/31020159248_4bd5d65233_h.jpg"></a>Aufnahmen aus einer Nacht im Vergleich. Oben ist deutlich das horizontnahe rötliche Airglow zu erkennen. Boden und Umgebung sind oben ebenfalls besser zu erkennen. Kameraeinstellungen gleich.</div>

Viele von uns haben bestimmt schon einmal bemerkt, dass sich der Nachthimmel im Laufe der Nacht deutlich verbessert. Ich habe mich seit langem gefragt, was mögliche Ursachen sind. Und ich bin nie so richtig schlau daraus geworden. Mittlerweile glaube ich aber einen Teil dieses Phänomens verstanden zu haben und denke, dass dies mit Airglow zu tun hat. Aber was ist Airglow eigentlich?

!!Woher kommt Airglow?

Airglow tritt auf wenn tagsüber angeregte Sauerstoff- und Stickstoffatome ihre Energie nachts wieder abgeben und dabei Licht aussenden. Besser und genauer wird das bei [[Wikipedia|https://de.m.wikipedia.org/wiki/Nachthimmellicht]] erklärt. Dabei entsteht vor allem in Horizontnähe ein kaum wahrnehmbares Glimmen, was fälschlicherweise häufig als Dunstschicht interpretiert wird. Airglow erscheint auf Fotoaufnahmen meist rötlich, sowie grünlich. Mit bloßem Auge sind die Farben nicht wahrnehmbar. Airglow tritt aber nicht nur als Horizontleuchten auf, sondern kann sich - sofern es stark genug ist - über den gesamten Himmel erstrecken.

!!Wo kann man Airglow beobachten?

Beobachten und unterscheiden kann man dieses Phänomen nur an den besten Beobachtungsplätzen und unter guten Bedingungen. Mir fallen dazu nur La Palma und dort speziell der Roque de los Muchachos und Namibia ein. In Namibia hat man zumeist eine sehr gute Horizontsicht, wo Teile des Landes auf einer flachen Hochebene liegen. Auf La Palma ist man auf 2400m direkt über dem Meer und kann aufgrund der Kimmhöhe unter den mathematischen Horizont schauen. Dort ist das horizontnahe Airglowband am besten wahrnehmbar. 

!!Wie komme ich darauf?

Das horizontnahe Airglow ist vor allem nach Anbruch der Dämmerung in Namibia als „Dunststreifen“ am Horizont erkennbar. Ich habe öfters den Fehler begangen und dies als Zeichen gewertet, dass die Transparenz nicht so gut ist. Dies war aber ein Fehler. Auf La Palma ist mir dies auch passiert und habe dies zum Teil mit durchziehenden Zirren verwechselt. Erst auf Fotoaufnahmen habe ich erkannt, dass es sich tatsächlich nur um Airglow handeln kann. Das hat tatsächlich eine Weile gedauert, da ich hier ebenfalls vermutet habe, dass es sich - wie gesagt - um hohe Wolken handelt, die wie durch ein Wunder im Süden und im Norden vorbei ziehen und mich nicht behelligen. Erst als sich dieses Phänomen täglich wiederholte, wurde mir klar, dass dies keine Wolken sein können. Ich begann das Phänomen zu untersuchen. Ich verglich Aufnahmen, die ich zuvor zu unterschiedlichen Zeiten gemacht hatte. Und es war praktisch immer das gleiche: Am Abend Airglow in Horizontnähe, das nachts zurückging, um am Morgen um so stärker zurückzukommen.

<div><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43080606160/in/dateposted/" title="Untitled"><img src="https://farm2.staticflickr.com/1920/43080606160_45e1c6423b_k.jpg"></a>Sequenz aus einer Nacht: Am Abend rötliches Airglow. Zum Morgen hin grünlich. Einzelaufnahmen aus dem Timelapse s.u.</div>

Die u.a. Aufnahme zeigt den Abendhimmel auf Tivoli am [[28. Mai 2017|28. Mai 2017 - Tivoli Astrofarm]]. Der Himmel war mit sichtbarem Airglow bis in den Zenit überzogen. Dies war auch mit bloßem Auge sichtbar. Manchmal ist es so, dass Airglow nicht nur am Horizont zu sehen ist, sondern großflächig Himmelsareale überzieht.

In Namibia bemerkte ich auf fast allen Aufnahmen, dass das Airglow nach Anbruch der Dämmerung am Horizont vor allem im roten Bereich leuchtete. Es erschien als Band, dass maximal 5-10° über dem Horizont zu erkennen war. Im Laufe der Nacht verschwand es meist und tauchte dann ein paar Stunden vor der Dämmerung wieder auf. Dabei hatte es die Farbe gewechselt und leuchtete auf Fotoaufnahmen grünlich. Von der Ausdehnung her reichte es deutlich höher bis zu 30° über dem Horizont.

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Dies deckt sich auch mit meinen Beobachtungen auf La Palma. Dort konnte ich in einer Nacht eine Polsequenz als Zeitraffer aufnehmen, die fast 10 Stunden lang ist. Auch hier zeigt sich, dass das Airglow am Abend erscheint, dann ab- und wieder zunimmt. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42474339630/in/dateposted-public/" title="Airglow"><img src="https://farm2.staticflickr.com/1874/42474339630_777c4e9a9c_k.jpg" alt="Airglow"></a>

Kräftiges Airglow, das sich über den gesamten Himmel erstreckt, ist aber eher selten. Damit meine ich, dass man nicht täglich damit rechnen kann.

!!Was heißt das nun?

Insgesamt zeigt sich, dass Airglow am Abend und am Morgen verstärkt auftritt. D.h. den dunkelsten Himmel trifft man dazwischen an. Eigentlich selbstverständlich. Ich habe irgendwo mal aufgeschnappt, dass das Phänomen in Breiten zwischen 20° nördlicher Breite und südlicher Breite auftritt. 

Viele von uns haben vielleicht bisher gedacht und da gehöre ich auch dazu, dass die Ursache fehlende Transparenz bzw. Dunst die Ursache ist. Dies ist aber nicht so, insbesondere in Namibia bzw. an Orten, wo hervorragende Bedingungen herrschen, die sich auch in kurzer Zeit (von Sonnenuntergang bis Dämmerungsbeginn) nicht gravierend ändern. Anders gesagt: dass sich der Himmel während einer Beobachtungsnacht fast immer verbessert, ist wohl diesem Phänomen geschuldet. Eine Einschränkung muss man jedoch machen: dies gilt nur für hervorragende Beobachtungsplätze, die dunkel und transparent sind. Unter lichtverschmutztem und intransparentem Himmel sind andere Faktoren, wie durchziehende Zirren oder aber das Abschalten der öffentlichen Beleuchtung wichtiger. Ein lichtverschmutzter Himmel ist auch deutlich anfälliger gegen geringe Verschlechterung der Transparenz, da sich dann Aufhellungen insbesondere am Horizont zeigen. Da wird vermutlich das (horizontnahe) Airglow einfach überstrahlt.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29348381737/in/dateposted-public/" title="Airglow"><img src="https://farm2.staticflickr.com/1898/29348381737_c8249a87bb_o.jpg" alt="Airglow"></a>

Die oben stehende Aufnahme ist ein Mosaik und zeigt das grüne Airglowleuchten am Horizont kurz vor der Morgendämmerung. Rechts das Morgenzodiakallicht und links die Sommermilchstraße.

Das Video zeigt den Nachthimmel in einer typischen klaren Nacht auf dem [[Roque de los Muchachos (RDLM)]]. Zeipunkt: [[06.04.2019|06. April 2019 - La Palma]].

<iframe width="560" height="315" src="https://www.youtube.com/embed/n0hSJRvQxgg" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Im Januar 2020 bin ich das erste Mal in dem Ferienhaus „El Colmenero“. Traumhaft gelegen in Garafía, wo der Himmel noch mal dunkler ist. Das Haus ist auch gut gelegen, um auf den Roque de los Muchachos zu fahren.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/jp1y5V" title="DSC03233"><img src="https://live.staticflickr.com/65535/49453187003_75fc2959e6_k.jpg" alt="DSC03233"></a>

Das Haus liegt auf ca. 1000m üNN.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/w6Zr1E" title="Untitled"><img src="https://live.staticflickr.com/65535/49468424106_f645279b3f_k.jpg"></a>

Hier kann man „El Colmenero“ mieten: [[www.islabonita.com|http://www.islabonita.es/de/casa_rural/72#.XkcKYC-1KhA]].

Objekt: Ellis-Grayson-Bond (EGB) 6, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 40-65x, Filter:OIII, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[20.01.2018|20. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38651063950/" title="EGB 6"><img src="https://farm5.staticflickr.com/4744/38651063950_744ca9bd88_c.jpg" alt="EGB 6"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/38651064010/]]

Objekt: Ellis-Grayson-Bond (EGB) 1 = HDW 1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter: OIII, Bedingungen: SQM-L 21.6, Ort: Llanos de las Animas, Zeitpunkt: [[18.01.2018|18. Januar 2018 - La Palma]], Seeing 4-5

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28101956727/" title="EGB 1"><img src="https://farm2.staticflickr.com/1764/28101956727_f2d20182b5_c.jpg" alt="EGB 1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/42921336642/in/photostream/]]

Anfang März ist der Frühling endlich da. Tatsächlich muss man festhalten, dass wir bereits im Februar fast 20° C hatten. Aber ich bin froh, dass es endlich mal wieder klar wird. 

Letzte Beobachtungsnacht war im Januar und das war mit Blick auf die letzten letzten Jahre schon praktisch ein Wunder. Die Nächte werden Anfang März schon deutlich kürzer, aber es bleibt immer noch genügend Zeit, um nachts in den Himmel zu schauen.


Die Prognosen der üblichen Wettervorhersagen sind überwiegend grauenvoll; ein Mix aus tiefen Wolken und Nebel ist angekündigt und es ist unklar, wie die Bedingungen tatsächlich werden. Es gibt aber auch andere Stimmen. Maximal 2-3 Nächte sollen möglich sein. Wir werden sehen.

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 07.-08.03.|7. März 2024 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 3.5 h, Ort: [[Lange Rhön|Rhön]], SQM-L 21.7, SQM 21.4, -3° C, klar & neblig''<br>[[M 95]], [[NGC 3521]], [[Jacoby 1]]|
|[[2. Nacht / 08.-09.03.|8. März 2024 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 7 h, Ort: [[Lange Rhön|Rhön]], SQM-L 21.6, SQM 21.4, -3° C, ca. 91 % rel. Luftfeuchte, klar''<br>[[12P/Pons-Brooks]], IC 423, [[M 95]], [[NGC 3521]], [[M 108]], [[Jacoby 1]], [[NGC 2537 - Bärentatzen-Galaxie]], M 104, M 51, M 13, M 3|
|!2 Nächte|!Gesamtbeobachtungszeit ca. 10 h, 3 Objekte gezeichnet|

Die beiden Nächte waren, obwohl bereits im März gelegen, praktisch von den Temperaturen her Winternächte. In beiden wurde natürlich wieder der Taupunkt erreicht und es war mit -3 °C recht kalt.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3m9w37103x" title="Untitled"><img src="https://live.staticflickr.com/65535/53575080979_6827ac734c_k.jpg" alt="Untitled"/></a>

Am Ende hat das Wetter doch gepasst. Die Vorhersagen waren auf der Kippe, aber letztendlich hat sich die positive Variante durchgesetzt. Erste Nacht war neblig, zeigte aber einen sehr schönen dunklen Himmel. Die zweite war von der Transparenz her deutlich besser und ebenfalls dunkel!

Hoffentlich gibt es im April noch eine Beobachtungsmöglichkeit! Anschließend, d.h. im Mai bin ich in Namibia, und danach ist im Beobachtungskalender erst mal Pause aufgrund der hellen Sommernächte. Anfang August geht es dann weiter.

Die beste Zeit auf La Palma ist eigentlich nach Weihnachten. Dann ist das Wetter meistens so stabil, dass man gut beobachten kann. Der Februar ist allerdings häufig verregnet. Das gleiche kann man praktisch über den November sagen. Der Klimawandel bringt solche „Gewissheiten“ aber auch mittlerweile durcheinander.

Beim Planen der Touren bin ich positiv überrascht: viele Spätsommerobjekte stehen am Anfang der Nacht noch sehr hoch und können gut beobachtet werden. Darüber hinaus natürlich der komplette Herbsthimmel inklusive der spektakulären Galaxien am Südhimmel. Und dann natürlich der Winter: komplett sichtbar, bis zum frühen Morgen und dann sind sogar fast alle Frühlingsgalaxien bereits aufgegangen. Muss nur noch das Wetter mitspielen!

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0BLM3VaV56" title="OSC08903"><img src="https://live.staticflickr.com/65535/53407602717_487f7088f1_k.jpg" alt="OSC08903"/></a>

Ich habe diesmal einen Direktflug mit Condor. Früher bin ich gerne mit Iberia geflogen, allerdings sind momentan die Preise zu hoch. Nach der Landung auf La Palma ist der Flieger aus Madrid auch gerade angekommen. Es ist ein buntes Treiben im Terminal, aber ich komme relativ zügig nach Übergabe des Mietwagens weiter. Ich habe dabei einen lokalen Anbieter im Vorfeld ausgewählt und gewartet, bis dieser einen größeren Wagen im Angebot hatte und dann zugeschlagen. Eigentlich brauche ich natürlich kein so großes Auto, aber der 20 Zöller, den ich angemietet habe, soll ja da rein und möglichst bequem hoch auf den Roque befördert werden. Ich bin auf dem Athos Star Campus untergekommen und „hause“ 🏠 in der Casa Galileo. 

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 07.12.-08.12.|7. Dezember 2023 - Wassertank]]|''20" Dobson, Beobachtungsdauer ca. 7.5 h, Ort: [[Wassertank|Llanos de las Animas & Wassertank]], SQM-L 21.7, SQM 21.5, klar, +12° C''<br>[[NGC 6764]], [[Grus-Quartett]], [[NGC 55]], [[Berkeley 83]], NGC 45, [[Pismis Moreno 1]], [[NGC 1097]], [[UGC 3697 - Integralzeichen-Galaxie]]|
|[[2. Nacht / 08.-09.12.|8. Dezember 2023 - Wassertank]]|''20" Dobson, Beobachtungsdauer ca. 8.5 h, Ort: [[Wassertank|Llanos de las Animas & Wassertank]], SQM 21.44, ca. 20% rel. Luftfeuchte''<br>Transit mit Schattendurchgang von Io, [[IC 1291]], [[NGC 253 - Sculptor-Galaxie]], [[Sculptor-Zwerggalaxie]], [[NGC 1097]], [[Fornax-Galaxienhaufen]], [[UGC 711]], [[NGC 891]], Orionnebel, [[IC 466]], [[M 95]]|
|[[3. Nacht / 09.-10.12.|9. Dezember 2023 - Athos Star Campus]]|''20" Dobson, Beobachtungsdauer ca. 9.5 h, Ort: [[Athos Star Campus]], SQM-L 21.6, klar, ca. 56-70% rel. Luftfeuchte, ca. 15° C''<br>[[Berkeley 83]], [[IC 5146 - Kokonnebel]], [[M 77]], [[NGC 3521]], [[M 95]]|
|[[4. Nacht / 11.-12.12.|11. Dezember 2023 - Athos Star Campus]]|''20" Dobson, Beobachtungsdauer ca. 10 h, Ort: [[Athos Star Campus]], SQM-L 21.56, klar, 56% rel. Luftfeuchte, 12° C''<br> [[NGC 253 - Sculptor-Galaxie]], [[NGC 1491]], M 1 - Krebsnebel, [[NGC 2261 - Hubble's Veränderlicher Nebel]], [[NGC 4173 - The Box|HCG 61 - The Box]], [[M 95]]|
|[[5. Nacht / 12.-13.12.|12. Dezember 2023 - Wassertank]]|''20" Dobson, Beobachtungsdauer ca. 10 h, Ort: [[Wassertank|Llanos de las Animas & Wassertank]], SQM 21.35, SQM-L 21.6, klar mit abziehenden Wolken ☁️, ca. 80% rel. Luftfeuchte, 10° C, ''<br>Ganymedbedeckung durch Jupiter, [[IC 349]], [[Abell 77]], [[NGC 253 - Sculptor-Galaxie]], [[NGC 7635 - Blasennebel]], [[NGC 2261 - Hubble's Veränderlicher Nebel]], [[IC 2233]], [[M 108]], [[UGC 9242]]|
|[[6. Nacht / 13.-14.12.|13. Dezember 2023 - Wassertank]]|''20" Dobson, Beobachtungsdauer ca. 10 h, Ort: [[Wassertank|Llanos de las Animas & Wassertank]], SQM-L 21.52, ca. 20% rel. Luftfeuchte, 10° C''<br>[[IC 349]], [[Sh 2-155 - Höhlennebel]], [[NGC 7635 - Blasennebel]], [[GN 03.47.9]] = Kr 2-1 = PK 149-1.1, [[NGC 2903]], [[NGC 4173 - The Box|HCG 61 - The Box]]|
|[[7. Nacht / 14.-15.12.|14. Dezember 2023 - Wassertank]]|''20" Dobson, Beobachtungsdauer ca. 10 h, Ort: [[Wassertank|Llanos de las Animas & Wassertank]], SQM 21.5, klar, ca. 40% rel. Luftfeuchte, +6° C''<br>[[Sh 2-114]], [[NGC 7023 - Irisnebel]], [[Sh 2-235]], [[NGC 973]], //IC 444//, [[NGC 2316]], [[NGC 2626]]|
|[[8. Nacht / 15.-16.12.|15. Dezember 2023 - Wassertank]]|''20" Dobson, Beobachtungsdauer ca. 8 h, Ort: [[Wassertank|Llanos de las Animas & Wassertank]], SQM 21.5, SQM-L 21.6, klar, ca. 40% rel. Luftfeuchte, +8° C''<br>[[Sh 2-235]], [[GN 05.55.3]], [[NGC 3184]], [[NGC 3344]]|
|!8 Nächte|!Gesamtbeobachtungszeit 88 h, 42 Objekte beobachtet (z.T. mehrfach), davon __[[40 gezeichnet|La Palma 2023 - Zeichnungen]]__|

!Beobachtungsobjekte

Die Liste mit Beobachtungobjekten ist wieder chaotisch entstanden. Wie immer weiß ich natürlich aus dem Kopf nicht was ich schon alles beobachtet habe und so muss ich eigentlich immer meine eigene Seite konsultieren, wenn ich einen Kandidaten gefunden habe. Ist der Kandidat  bereits beobachtet aber noch nicht gezeichnet worden worden dann schafft er es zumeist auf die Beobachtungsliste.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/U7bZ9kYz7Q" title="Untitled"><img src="https://live.staticflickr.com/65535/53382239730_f7f523ec11_k.jpg" alt="Untitled"/></a>

!Wetterbedingungen

Das Wetter hat diesmal endlich gepasst! Es gab praktisch bis auf die erste Nacht und eine weitere keine bewölkten Nächte. Das Seeing war meist Ok, eine Nacht sehr gut. Die Temperaturen waren zu meiner Überraschung überhaupt nicht winterlich. Zwar ist Winterkleidung Pflicht, aber Moonboots hätte man nicht mitnehmen müssen. Stattdessen hätte ich auch eine kurze Hose dabei haben müssen, die ich nach Rücksprache mit Kai aus dem Koffer wieder rausgeholt habe, als er mir sagte, dass es im Schatten doch „recht frisch“ sei. Das Gegenteil war der Fall und in langer Hose schwitzen angesagt.
Calima war fast alle Tage präsent. Interessanterweise jedoch nur in mittleren Lagen, d.h. die Hochlagen blieben verschont und wenn doch schwappte der Sand nur für ein paar Stunden mal hoch und verschwand wenig später wieder. In mittleren Lagen war sie z.T. deutlich ausgeprägter und erzeugte manchmal sogar Lichtglocken.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Lq9yK1icxR" title="Untitled"><img src="https://live.staticflickr.com/65535/53404325921_1ffc4aa846_h.jpg" alt="Untitled"/></a>

Die Unterbringung auf Athos war wieder sehr gut und ich bin immer wieder erstaunt, wie ruhig es hier ist. Keine Flieger, kaum Verkehrsgeräusche. Es waren richtige Meganächte, die ich praktisch überwiegend am oberen Wassertank auf circa 2030 m verbracht hat. Die Stimmung oben ist magisch und obwohl ich nicht unterhalb der Teleskope war, finde ich diesen Platz mittlerweile sehr gut. Deutlich schneller von Athos aus zu erreichen, als der Roque selber. Auch einfacher zu fahren, wenn man die gefährlichen Steilstücke vorsichtig angeht.

Ich bin sehr zufrieden mit dieser Exkursion, würde sogar fast sagen eine der besten der letzten Jahre. Kann mich nur an eine andere vor vielen anderen Jahren erinnern, wo es praktisch jede Nacht klar war und insgesamt hintereinander zehn am Stück. Das habe ich jetzt hier nicht geschafft, jedoch insgesamt kam ich auf acht gute und lange Beobachtungsnächte. Zum Glück ist praktisch eineinhalb Wochen später Weihnachten 🎅, so dass ich mich von den langen Nächten wieder erholen kann.

!!!''Weiter zur Fotogalerie auf [[Flickr >>|https://www.flickr.com/gp/106029581@N02/6q0nSt6457]]''

Objekt: Eridanus Cluster, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Puerto del Pinar, Zeitpunkt: [[29.12.2016|29. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32034187412/in/datetaken/" title="Untitled"><img src="https://c5.staticflickr.com/1/654/32034187412_0aba0f3cf1_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31807471880/in/datetaken/]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31875717897/in/dateposted-public/" title="Vollmond"><img src="https://farm5.staticflickr.com/4902/31875717897_e1390c96b6_k.jpg" alt="Vollmond"></a>

Ich bin sehr zufrieden mit der neuen Kamera, hatte aber auch keine wirklich hohen Ansprüche. Zunächst das Positive.

!!Positive Erfahrungen mit der A6300

''+'' Sehr gute Bildqualität bei Astroschnappschüssen zusammen mit den Objektiven Meike 6.5mm und dem Sigma 14mm.<br>
''+'' Durch größeren Chip gewinnt man gemäß Theorie etwa eine Blende. Kann ich praktisch auch bestätigen. An der RX100 III bei Blende f1.8 und 6400 ASA erhält man das gleiche Bild mit 16mm f1.7 an der A6300 aber bei 3200 ASA. Beim Vollformat kommt noch mal etwa eine Blende hinzu, so dass man vermutlich mit 1600 ASA hinkommt.<br>
''+'' Bis 10000 ASA sind Aufnahmen in JPEG und kamerainterner Verarbeitung sehr gut möglich, ohne das die Bildqualität sehr leidet. Das ging mit der RX100 III nicht. Da war bei 6400 ASA Schluss.<br>
''+'' Das Meike 6.5mm f2 ist für 129€ der Hammer. Sehr scharf. Aber Koma, die ab f2.8 kaum mehr auffällt. Dito das Sigma 16mm f1.4. Sehr scharfes Objektiv. Bei beiden Objektiven liegt der Fokus aber deutlich vor dem "Unendlich"-Label, nämlich bei 0.5m beim Meike und 1m beim 16mm von Sigma.

<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/38k5ZM" title="Untitled"><img src="https://farm8.staticflickr.com/7869/46961404041_737904b6c5_h.jpg"></a>Oben Sigma 16mm @f2.8 und unten @f1.4.</div>

!!Negative Erfahrungen mit der A6300

''-'' Kit Objektiv war dezentriert. Rechte Bildhälfte insbesondere beim Zoom unscharf. Habe eine Gutschrift vom Händler erhalten und dann Garantieansprüche bei Sony angemeldet, die in einer kostenfreien Reparatur mündete und auch schnell ablief. Jetzt ist das Kit Objektiv recht gut und die Dezentrierung behoben.<br>
''-'' Das Sigma 16mm zeigt bei Offenblende, also f1.4 an hellen Objekten heftige "Flares". So z.B. beim Vollmond, insbesondere wenn dieser nicht im Bildzentrum steht. Ab f2.8 verschwindet das Problem. An Sternen ist es wurscht. Diese sind einfach nicht hell genug, um "Flares" zu erzeugen. Die Vignettierung ist bei f1.4 auch heftig. Aber ab f1.7 nicht mehr und kann dann sinnvoll auch für Panoramen eingesetzt werden. Ist die Vignettierung von Objektiven nämlich zu heftig, kommt es im zusammengesetzten Panorama zu unschönen dunklen Streifen.<br>

__ Kommentar:__ Das Sigma Objektiv war leider defekt. Ich habe das viel zu spät entdeckt. Wenn man nämlich von hinten auf die Linsen geschaut hat, hat man diverse Muschelbrüche entdecken können. Zum Glück habe ich es während der Rückgabezeit noch bemerkt und konnte das Objektiv umtauschen.

''-'' Durch die Möglichkeit die Objektive zu wechseln, was ich auch tue, kommt trotz Vorsicht immer wieder Staub auf den Chip, was bei Tageslichtfotografie zu "Dustspots" führt. Ist einfach nur ein bisschen nervig.<br>

!!Insgesamt bin ich sehr zufrieden

Ich bin immer wieder erstaunt wie wenig Freunde und Bekannte heutzutage Kameras kaufen bzw. benutzen. Ja, ich weiß, das Handy ist ja immer dabei. Wozu das Ganze noch? Ich finde auch bei Tageslichtfotografie sind Kameras Handys deutlich überlegen. Und meine RX100 III habe ich mittlerweile gute fünf Jahre in Benutzung. Kameras sind in der Regel langlebig, ähnlich teuer wie Handys und man hat häufig länger was davon. Handys werden nach zwei Jahren oft erneuert. Das ist bei Kameras nicht der Fall, denn ihre Leistung nimmt nicht ab, was man bei Handys nach zahlreichen Updates nun nicht gerade sagen kann.

!__''Fazit''__

Wie geht es weiter? Ich überlege mir für kleines Geld eine astromodifizierte A6000 zuzulegen. Warum? Ganz einfach: dann sind auch die H-Alpha Nebel mit drauf. Und ich habe eine zweite Kamera für Schnappschüsse, wenn die andere ein Timelapse aufnimmt. 

Die neue Kamera eröffnet mir weiterhin einen Zugang zu meinen alten Gerätschaften: einem Pentax SDHF 75 z.B. oder auch dem TMB 100/800. Mit diesen Geräten kann ich den Mond und die Sonne aufnehmen. Mal sehen wohin das Ganze noch führt.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/62SEmM" title="Untitled"><img src="https://live.staticflickr.com/65535/47045040824_ad80e69b48_k.jpg"></a>

__Aufnahmedaten links:__ 62 sec @f2.8 16mm Sigma (24mm Vollformat), 800 ASA mit Startracker nachgeführt. Bearbeitete Einzelaufnahme. Bei Blende 2.8 ist praktisch keine nennenswerte Vignettierung mehr erkennbar. Darüber hinaus ist das Bild sehr scharf bis in die Ecken. Die Wolken sind in der Realität - bzw. auf Aufnahmen mit meiner unmodifizierten Kamera - rot. Aufnahme am Ferienhäuschen La Podona. Der GUM-Nebel ist schwach links als riesige Aufhellung erkennbar.

__Aufnahmedaten rechts:__ 13 Sekunden @f1.7 16 mm Sigma (24 mm Vollformat), 5000 ASA.  Bearbeitete Einzelaufnahme. Fokus nicht 100% getroffen. Nicht nachgeführt. Aufnahme auf dem Roque de los Muchachos. Blickrichtung NE.

Habe die Kamera erstmalig auf dem [[La Palma Trip 2019|Es muss nicht immer der Roque sein]] eingesetzt. Danach war ich ziemlich enttäuscht, da Fotos die nur kurz belichtet wurden, kaum HII-Nebel zeigen. Ich habe schließlich festgestellt, dass die Rotempfindlichkeit mit der Belichtungszeit zunimmt. Ich hatte ja auch den Omegon LX Tracker mit dabei, und so waren natürlich auch länger belichtete Aufnahmen kein Problem. Die Nachführung hat insgesamt gut geklappt. 

!!Der Weißabgleich war die größte Hürde 

Ich hatte bei der Bearbeitung der Fotos im Nachhinein natürlich die ersten Anfänger Probleme: So hat der Weißabgleich nicht funktioniert. Am Ende hat es über die manuelle Einstellung mittels Pipette in der Sony Software geklappt. Ich konnte die Einstellung dann speichern und praktisch auf andere Fotos anwenden. Leider funktioniert der Weißabgleich nur bei ähnlich langbelichteten Aufnahmen. Weicht man davon ab muss man ihn leider erneut experimentell finden, zumindest um gute bis sehr gute Ergebnisse zu erzielen.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47035655034/in/dateposted/" title="Roque Nights"><img src="https://live.staticflickr.com/65535/47035655034_8db84bceb7_k.jpg" alt="Roque Nights"></a>

__Bild oben:__ Aufnahme mit Sony A6000 (astromodifiziert) und Sigma 16mm Objektiv. Panorama aus vier Aufnahmen. Die Einzelaufnahmen habe ich als RAW in MS ICE zu einem Panorama kombiniert. 

<div class="tc-link-info-item-medium" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47834885591/in/dateposted/" title="Untitled"><img src="https://live.staticflickr.com/65535/47834885591_fa2b41fba6_h.jpg"></a></div>

Dass das Airglowband tatsächlich grün ist, kann man an der Fisheye-Aufnahme, aufgenommen mit der unmodifizierten A6300 sehen. An manchen Stellen aber auch rot. Die Aufhellungen der Wolkendecke sind aber rötlich und nicht wie bei den Aufnahmen der astromodifizierten A6000 grünlich.

Anschließend wurde der zuvor bereits experimentell (mit Pipette am Himmelshintergrund) an den RAW-Bildern gemachte Weißabgleich am finalen JPEG auf dem iPad mit Lightroom noch mal korrigiert. Der grüne Himmelshintergrund kommt vom starken Airglow in Horizontnähe, dass auch auf anderen Aufnahmen grün leuchtet.

Am Ende habe ich schließlich den Dreh raus und bin recht zufrieden. Allerdings muss man die Einschränkung machen, das kurz belichtete Aufnahmen, wie ich sie bisher für All Sky Panoramen gemacht habe (um 13 Sekunden) die roten Nebel kaum zeigen. Dafür muss man tatsächlich viel länger belichten. Optimal ist bei Blende f2 eine Minute. Ich werde trotzdem versuchen, das Ganze mit kurzer Belichtungszeit und einem All Sky anzugehen.

Das Video zeigt den ersten kurzen Eindruck auf der Farm. 

<iframe src="https://player.vimeo.com/video/130559649" width="500" height="281" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe> <p><a href="https://vimeo.com/130559649">Erster Eindruck auf Tivoli</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

!Endlich geht wieder was...

Es ist Mitte August und ich drehe fast durch. Die letzte Beobachtungsnacht war im Juli und die war kurz. Zwei Stunden. Der August war verregnet und es gab gar nichts. Unfassbar. Ich bin mit dem Thema durch und fasse den Entschluss meinen Resturlaub aus letztem Jahr dem Thema Astronomie zu widmen und wieder nach La Palma zu fliegen.

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;">

<<<.tc-big-quote

!!Feuer in Garafía 

Am Wochenende des 21. August kommt es in Garafía zu einem Feuer, dass sich zu einem passablen Waldbrand ausweitet. Es frisst sich die Insel hinauf und strebt auch Richtung Athos Star Campus. Zum Glück erreicht es diesen nicht, aber viel hätte wohl nicht mehr gefehlt.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/r8L3J2" title="Untitled"><img src="https://live.staticflickr.com/65535/50329835491_e22351afe2_k.jpg"></a>

Verbrannte Erde und unversehrte Landschaft in der Nähe von Hoya Grande.

!!Das Feuer hat viel zerstört...

Hat es tatsächlich. Man muss sich aber keine Gedanken machen, denn sobald es im Winter hier regnet sprießt das Grün wieder. Und die kanarische Kiefer überlebt erstaunlicherweise solche Feuer auch und treibt dann wieder aus. Diese Bäume sind unverwüstlich. Dennoch sehen die Landschaften furchtbar aus.

<<<

</div>

![[Athos Star Campus]]

Seit Jahren etabliert ist diese Astrofarm vielen vermutlich ein Begriff. Ich war 2016 zur Besichtigung dort und habe jetzt dort auch gebucht. Gelockt hat mich insbesondere die Tatsache, dass man dort einen 25 Zoll großen Dobson mieten kann, neben anderen Geräten. Hauptsächlich frequentiert wird die Farm von Astrofotografen.

Astrofarmen werden von manchen Sternfreunden belächelt. Zu Unrecht. Sie stellen eine absolute Marktnische im Tourismus dar und ermöglichen es ambitionierten Amateuren unter optimalen Bedingungen zu arbeiten. Jemand meinte mal vor vielen Jahren, dass Beobachtungszeit teuer sei und das gilt auch für Amateure. Recht hat er. Im September hat die Nacht auf La Palma bereits acht und im Gegensatz zum tiefen Winter bis zu zehn Stunden Nacht. Damit ist die Nacht im September nur um circa zwei Stunden kürzer. Beobachtet wird vor und nach der astronomischen Dämmerung solange der Mond nicht über dem Horizont steht. 

!!Vom Sommer über den Herbst in den Winter

Deshalb ist der September für mich der beste Beobachtungsmonat auf La Palma. Die Nächte sind schon lang und man bekommt bereits drei Jahreszeiten präsentiert. 

!Corona Zahlen steigen wieder

Die Corona Zahlen steigen wieder, vor allem auf den kanarischen Inseln, aber nicht auf La Palma. Hauptbetroffene sind die Inseln Gran Canaria und Teneriffa. Bis zum Schluss steht alles auf der Kippe. Aber ich bin guter Dinge. Schließlich werden die kanarischen Inseln auch zum Risikogebiet erklärt. Kai, der Besitzer von Athos, kontaktiert mich und fragt mich, ob ich weiterhin vorhabe zu kommen. Ja, habe ich. Die Zahlen auf La Palma sind weiterhin unter dem Grenzwert. Dennoch liegt er bei den Nachbarinseln darüber, was die Entscheidung des RKI die kanarischen Inseln zum Risikogebiet zu erklären, nachvollziehbar macht. Ich bin astrotechnisch so ausgetrocknet, dass ich das kalkulierte Risiko eingehe, denn die Wahrscheinlichkeit sich vor Ort anzustecken sehe ich als äußerst gering an, wenn man bedenkt dass wir mit unserem Hobby hauptsächlich nachts unterwegs sind und Kontakt zu anderen Personen in der Regel auch dann nicht stattfindet.

Ich werde mit dem Neumond mit dem 20 Zöller auf den Berg zu fahren. Zum Neumond habe ich den 25 Zöller gemietet, der dann vor Ort genutzt wird. Vor Ort heißt auf dem Athos Star Campus auf etwa 900 m üNN.

!Schönwetterkatastrophe für Deutschland vorhergesagt

Kaum geht es los, wird geniales Wetter für Deutschland vorhergesagt. Auf der Wasserkuppe soll es insgesamt sechs klare Nächte in Folge geben. Gibt es doch gar nicht! Und für La Palma wird hohe Bewölkung für fast die gesamte Woche prognostiziert. Gibt es doch gar nicht!

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Km7jhe" title="Untitled"><img src="https://live.staticflickr.com/65535/50890379281_ed62bbb647_h.jpg"></a>Panorama der nördlichen Sommermilchstraße aufgenommen auf dem Athos Star Campus.</div>

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 09.-1009.|9. September 2020 - La Palma]]|''10x50 Feldstecher & Fotokamera, 3.5 h, Ort: [[Athos Star Campus]], SQM-L 21.8, +26 °C, 10 Objekte''<br>Die Klassiker des Sommerhimmels im Feldstecher|
|[[2. Nacht / 10.-11.09.|10. September 2020 - La Palma]]|''25" Zoll Dobson, 4 h, Ort: [[Athos Star Campus]], ca. +25 °C, 4 Objekte''<br>Jupiter & Mars|
|[[3. Nacht / 12.-13.09.|12. September 2020 - La Palma]]|''25" Dobson, 6 h, Ort: [[Athos Star Campus]], +14 °C, 1 Objekt''<br>Kohoutek  1-14, Jupiter & Mars|
|[[4. Nacht / 13.-14.09.|13. September 2020 - La Palma]]|''25" Dobson, 6 h, Ort: [[Athos Star Campus]], +14 °C, verschiedene Objekte''<br>[[Kohoutek 1-14]], Highlights des Sternenhimmels, Panorama der Cygnus Region|
|[[5. Nacht / 17.-18.09.|17. September 2020 - La Palma]]|''25" Dobson, 9 h, Ort: [[Athos Star Campus]], +14 °C, SQM-L 21.5, 7 Objekte''<br>Vz 1-2, M8, M13, M22, M33, [[NGC 281]], M42|
|[[6. Nacht / 18.-19.09.|18. September 2020 - La Palma]]|''25" Dobson, 9 h, Ort: [[Athos Star Campus]], +14 °C, SQM-L 21.6, 4 Objekte''<br>[[NGC 7027]], Mars, Simeis 147, Abell 14|
|[[7. Nacht / 19.-20.09.|19. September 2020 - La Palma]]|''25" Dobson, 9 h, Ort: [[Athos Star Campus]], +18° C, SQM-L 21.6, 7 Objekte''<br>__[[Kohoutek 1-6]]__, [[Henize 1-4]], IC 1470, NGC 7510, CRL 618 - Westbrook Nebel, Mars, V777 Mon - Red Rectangle|
|[[8. Nacht / 20.-21.09.|20. September 2020 - La Palma]]|''25" Dobson, 9 h, Ort: [[Athos Star Campus]], +21 °C, SQM-L 21.6, 6 Objekte''<br> [[NGC 6543 & IC 4677 - Katzenaugennebel]] mit IC 4677, Saturnnebel, [[CRL 618 - Westbrook Nebel]], [[Abell 14]], IC 434 - Pferdekopfnebel, [[Timelapse des Himmels über Las Tricias|Nachthimmel über Athos (La Palma)]]|
|[[9. Nacht / 21.-22.09.|21. September 2020 - La Palma]]|''25" Dobson, 2 h, Ort: [[Athos Star Campus]]''<br>[[NGC 7009 - Saturnnebel]]|
|!14 Tage & 9 Nächte|!Viele Erlebnisse & viele [[Fotos|https://www.flickr.com/gp/106029581@N02/9SPs68]]|

!!Beobachtungsbedingungen

Das Wetter war mal wieder nicht gut. Immer wenn ich fahre...Ursächlich waren am Ende mehrere Tiefdruckgebiete südlich, von denen sich immer wieder Wolken gelöst haben und diese Richtung Norden geschickt haben. In diesem Zuge haben sie auch Sand vom afrikanischen Festland mitgeschickt. Aber eines war fast jede Nacht sehr gut: Das Seeing!

Fast alle Nächte hatten wir starkes Airglow. Ohne die aufgestellte Fotokamera hätte ich das gar nicht bemerkt. Auf den Fotos ist eindrucksvoll zu erkennen, wie stark das Airglow die Himmelshelligkeit bestimmt. Der Himmel ist dann häufig seifig, obwohl es offensichtlich keinen Grund dafür gibt, wie z.B. schlechte Transparenz oder hohe Wolken.

!!Timelapse Video

Unten ist ein Video zu sehen, dass eine Zeitrafferaufnahme des gesamten Nachthimmels über Athos vom 19.09.2019 von Dämmerungsende bis zur Morgendämmerung zeigt. 

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<<list-thumbnails filter:"[tag[Video Athos 2020]]" width:"168" height:"95">>
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Ich bin froh das ich den Schritt gewagt habe und in dieser unsicheren Zeit mal wieder eine Exkursion gewagt habe. Neben den Beobachtungen mit einem sehr großen Gerät habe ich mich auch an den Tagen gut erholen können und habe jetzt den Kopf frei. Mein Blick richtet sich bereits nach Montafon, wo ich zusammen mit meiner Familie Mitte Oktober eine Woche verbringen werde. Mit dabei ist auch mein Teleskop und damit meine ich meinen 14 Zoll Dobson.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/779k1x" title="Untitled"><img src="https://live.staticflickr.com/65535/50330003467_af44f3859d_k.jpg"></a>

Blick von der Orangerie auf den Athos Star Campus nach Westen. Unten  eine der Unterkünfte auf dem Gelände.

Nach dem Flug nach Frankfurt erwartet mich ein Corona Test, denn ich komme ja aus einem Risikogebiet, zumindest auf dem Papier. Die Anzahl der Corona Fälle ist mittlerweile auf La Palma wieder unter 15 Personen in Gänze gefallen. Vor zwei Wochen waren es noch 30. Zu keinem Zeitpunkt hatte ich vor diesem Hintergrund den Eindruck das falsche getan zu haben. Trotzdem habe ich den Kontakt zu anderen weitesgehend vermieden und habe auf Restaurantbesuche verzichtet.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/SV7sdK" title="Untitled"><img src="https://live.staticflickr.com/7873/40631276583_3387b0d4cb_k.jpg"></a>

Nichts ist unbeständiger als das Wetter im März bzw. Anfang April auf La Palma. Seit gestern ist die iOS Version 12.2 draußen und endlich funktioniert in Quine, der App mit dem ich diese Seite hier pflege, die Textauswahl wieder richtig, was bestimmt ein Jahr nicht mehr richtig ging. Die Dinge entwickeln sich also gut. Das Wetter ist hingegen seit einer Woche auf La Palma schlecht. Besserung ist in Aussicht gestellt. Es ist eben verflixt zu dieser Jahreszeit.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/0zTe07" title="Untitled"><img src="https://live.staticflickr.com/7896/47573484451_82f3bd7324_k.jpg"></a>

Am 28. März geht es schließlich los. Bis kurz vor Abreise habe ich gehadert. Besser doch verschieben? Aber wohin? Vor dem Herbst oder Winter geht nix. Also doch hin. Es sind ja 11 Nächte. Solange kann das Wetter gar nicht schlecht sein! Die erste Nacht ist es anfangs bewölkt und ich bin kaputt. Als ich kurz vor der Morgendämmerung aus dem Ferienhäuschen trete ist es aber klar. Die Transparenz ist nicht sehr gut. 

Ich hangele mich schließlich von Tag zu Tag. Irgendwie komme ich doch immer wieder auf Beobachtungszeit. 

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 29.-30.03.|29. März 2019 - La Palma]]|''14" Dobson, 6 h, Ort: La Podona, SQM-L 22.0, +3.5 °C, 4 Objekte''<br>__[[Sanduleak 2-21]]__, __[[IC 466]]__, __[[Äußerer Halo um NGC 3242|NGC 3242 - Äußerer Halo mit 14 Zoll]]__, __[[NGC 4038 & 4039 - Antennengalaxien]]__|
|[[2. Nacht / 30.-31.03.|30. März 2019 - La Palma]]|''14" Dobson, 2 h, Ort: La Podona, SQM-L 21.7, +5 °C Celsius, 2 Objekte''<br>__[[NGC 1624|NGC 1624 & Sh2-212]]__, __[[Sh2-216]]__|
|[[3. Nacht / 31.-01.04.|31. März 2019 - La Palma]]|'' bloßes Auge, 6 h, Ort: La Podona, SQM-L 21.86, +7 °C''<br>Lichtbrücke & Gegenschein, verschiedene Sternbilder und Sternenhimmel mit bloßem Auge, Stimmungs- und Testaufnahmen mit dem Startracker|
|[[4. Nacht / 02.-03.04.|02. April 2019 - La Palma]]|''14" Dobson, 9 h, Ort: La Podona, SQM-L 21.88, +3 °C, 6 Objekte''<br>__[[Minkowski 3-1]]__, __[[NGC 4027]]__, __[[NGC 4038 & 4039 - Antennengalaxien]]__, __[[NGC 5170]]__, __[[NGC 5247]]__, __[[NGC 4710]]__, M4, M80, B86, B142/143, M8, M11|
|[[5. Nacht / 04.-05.04.|04. April 2019 - La Palma]]|''14" Dobson, 4 h, Ort: Roque de los Muchachos, SQM-L 21.84, +4 °C, 7 Objekte''<br>__[[Minkowski 3-1]]__, __[[NGC 2366]]__|
|[[6. Nacht / 05.-06.04.|05. April 2019 - La Palma]]|''14" Dobson, 2 h, Ort: Llanos de las Animas''<br>keine Beobachtung wegen aufziehender Wolken und Wind|
|[[7. Nacht / 06.-07.04.|06. April 2019 - La Palma]]|''14" Dobson, 9 h, Ort: Roque de los Muchachos, SQM-L 21.95, 0 °C, 6 Objekte''<br>__[[NGC 2242]]__, __[[IC 2184]]__, __[[Kohoutek 1-22]]__, __[[PGC 35129 (Arp 151)]]__, __[[NGC 4933 (Arp 176)]]__, __[[IC 4670]]__|
|[[8. Nacht / 07.-08.04.|07. April 2019 - La Palma]]|''14" Dobson, 4 h, Ort: Roque de los Muchachos, SQM-L 21.75, +2 bis +7 °C, 3 Objekte''<br>__[[IC 447]]__, __[[NGC 2245]]__, NGC 2247|
|!8 Nächte|!Gesamtbeobachtungszeit 36 h, [[20 Objekte gezeichnet|La Palma im März 2019 - Zeichnungen]]|

Insgesamt bin ich auf acht Nächte gekommen. Wenn man strengere Maßstäbe anlegt dann sechs. Also etwas mehr als 50%. Keine gute Quote.

!Beobachtungsbedingungen

Die Tage sind von Regen ☔️ geprägt. Aber interessanterweise ergeben sich nachts doch durchaus sehr gute Bedingungen wenn man von der sehr hohen Luftfeuchte mal absieht. Ich habe die ersten Nächte praktisch nur am Haus beobachtet, denn der Roque war dicht. Da wir eine Woche lang tiefen Luftdruck und am sogar Anfang ein Höhentief hatten, tummelten sich die Wolken häufig oben, während es unten oft aufklarte. Natürlich war das nicht immer so eine klare Sache, denn gerade am frühen Morgen kamen sie dann doch zurück. Häufig musste ich sehr schnell abbauen, denn aus den Wolken fiel häufig unvermittelt Nieselregen. Trotzdem ließ es sich so gut beobachten. Ich weiß natürlich, dass ich dabei auch unglaubliches Glück habe. Eine Sache war jedoch doch hin und wieder störend: Die Beleuchtung der Nachbarn. Zum Teil setzen diese LED-Lampen zusammen mit Bewegungsmeldern ein. Diese sind sehr hell und stören die Dunkeladaption. Noch schlimmer waren allerdings Blitze von Gewittern in mindestens zwei Nächten. Obwohl sie deutlich entfernt waren, sah man sie an der gegenüberliegenden Seite des Himmels noch. Das war spektakulär und unglaublich. Während einer Messung mit dem SQM-L, in der auch ein Blitz auftauchte, erreichte das SQM-L 21.65. Während hingegen direkt danach wiederum 21.85. Erstaunlich. Messfehler ist unwahrscheinlich, aber nicht ausgeschlossen. 

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/i6C08N" title="Untitled"><img src="https://live.staticflickr.com/7833/33699645728_e66b42585c_k.jpg"></a>

Oben im Bild eines der Magic Teleskope, über die ein Nieselregenschauer niedergeht und sich im Abendlicht mit Regenbogen 🌈 zeigt.

!!Seeingbedingungen

Das Seeing war stets gut. In einigen Nächten sehr gut. Dies finde ich erstaunlich, da wir ja in der meisten Zeit tiefen Luftdruck hatten. Andererseits habe ich auch keine Ahnung, ob dies tatsächlich relevant ist. In der Regel beobachtet man in solchen Nächten ja kaum, da es ja normalerweise bewölkt ist oder regnet. Andererseits kennen wir das in Deutschland auch, wenn nach dem Durchziehen einer Kaltfront es wiederum wunderbar aufklaren kann. 

!!Wind

Wind war diesmal am Haus kein Problem. Normalerweise geht bei Hochdruckwetter und Alisio am Ferienhäuschen mächtig der Wind, da im Nordwesten gelegen. Wenn dann der NO-Passat weht, ist er wegen des Kamineffekts im NW sogar stärker. Da wir aber Tiefdruck hatten, war es meist windstill. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47035655034/in/dateposted/" title="Roque Nights"><img src="https://live.staticflickr.com/65535/47035655034_8db84bceb7_k.jpg" alt="Roque Nights"></a>

Aufnahme mit Sony A6000 astromodifiziert und Sigma 16mm Objektiv. Panorama aus vier Aufnahmen.

!!Nachtaufnahmen

Der Omega Startracker funktioniert auch. Schön das Geräusch eines alten Weckers, dass er von sich gibt wenn er nachführt. Genial! Erinnert mich an meinen mechanischen Wecker aus meiner Kindheit. Er klingelt sogar wie dieser, wenn die Nachführzeit um ist und die Feder wieder gespannt werden muss. Etwas hakelig war die korrekte Positionierung des Himmelsnordpols, da er am Beobachtungsplatz meines Ferienhäuschen leider durch Bäume verdeckt ist. Aber wenn er gefunden ist, lassen sich lang belichte Aufnahmen ohne Mühe erstellen. Und diese sehen auch besser aus: Insbesondere das fehlende Grün kommt auf länger belichteten Aufnahmen mit der A6300 besser rüber. Offenbar ist dann der automatische Weißabgleich besser. Bei kurzen Aufnahmen dominieren Blau und Rot.

Zu meiner neuen astromodifizierten Sony A6000 kann ich sagen, dass sie für kurz belichtete, d.h. also nicht nachgeführte Aufnahmen, nicht so gut geeignet ist. Das liegt hauptsächlich daran, dass unschöne Farbgradienten und Farbrauschen die Bilder doch beeinträchtigen. Das ist mit der unmodifizierten und eine Generation neueren A6300 nicht so. Hier reichen auch kurze Belichtungszeiten für gute Fotos aus.  Richtig schwache HII-Regionen (z.B. der riesige GUM-Nebel) werden von der modifizierten Kamera hingegen nicht so gut erfasst. Ich werde mal schauen, ob der Einsatz eines klassischen Rotfilters als Verstärkung für den Rotkanal noch bessere Ergebnisse liefert. 

Das Thema „Star Eater“ konnte ich bei meinen Kameras nicht feststellen. Dabei handelt es sich lt. verschiedenen Astrofotografen um ein Problem von Sony Kameras, die Sterne „aufessen“, d.h. die aufgrund eines Rausunterdrückungsalgorithmus offenbar Sterne - sogar aus RAW-Aufnahmen - herausrechnen sollen. Ich konnte nichts dergleichen beobachten.

!!Timelapse Video

Unten ist ein Video zu sehen, dass mehrere Zeitrafferaufnahmen zeigt. Aufgenommen am Ferienhäuschen [[La Podona]] und auf dem Roque.

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<<list-thumbnails filter:"[tag[Video La Palma März 2019]]" width:"168" height:"95">>
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Das 4K-Video zeigt drei Nächte an der Podona und eine auf dem Roque. Auf dem Roque zeigt sich das horizontnahe Airglow grün und rötlich. Es geht im Laufe der Nacht deutlich zurück. Der Gegenschein kann auf dem Roque quasi vom Auf- bis zum Untergang gut verfolgt werden.

!!Auf dem Roque war ich nur dreimal

Das Wetter war einfach zu schlecht. Ist auch überhaupt nicht schlimm. So hatte ich es mir das gedacht. Als ich allerdings oben stand, vor mir das Zodiakallicht und die untergehende Wintermilchstraße über dem Ozean, musste ich mir eingestehen, dass es doch schlimm war. Das Beobachtungsgefühl zusammen mit der Kimmhöhe, die einen unter den mathematischen Horizont schauen lässt, ist einfach Mega beeindruckend.

!! Das Besucherzentrum 

Das Besucherzentrum ist mittlerweile gebaut. Es besteht aus zwei Gebäuden, die über einen Parkplatz verbunden sind. Auf einem der Gebäude ist eine Aussichtsplattform auf dem Dach eingerichtet worden. (Bild unten rechts). In der Mitte befindet sich ein „Loch“, über das vom Dach in die Innenräume geschaut werden kann. Insgesamt architektonisch sehr hübsch gemacht. Neben dem Gebäude gibt es (Bild oben rechts) einen Platz mit Beobachtungsplattformen. Diese sind auch mit Stromanschlüssen ausgerüstet (Bild unten links).  Den Parkplatz kann man natürlich auch für Beobachtungen nutzen. Der ist riesig. Die Frage wird am Ende sein, wie stark der Platz nachts frequentiert sein wird und ob es nachts durch Dritte eventuell zu Störungen kommen wird (In einer Nacht drangen während der Beobachtung an einem anderen Platz laute Stimmen und Gegröle vermutlich vom Besucherzentrum zu mir herüber). Das Besucherzentrum wird voraussichtlich seine Pforten tagsüber in einem Jahr öffnen, wenn der Innenausbau abgeschlossen sein wird. So zumindest die Ankündigungen in der Lokalpresse. 

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/75HbyN" title="Untitled"><img src="https://live.staticflickr.com/7827/46671720545_52c42e107a_k.jpg"></a>

 Hier ist noch ein Video zu sehen, dass einen kurzen Rundgang am Besucherzentrum und an den dort errichteten Beobachtungsplätzen zeigt. 

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!!Im März & April nie wieder

Versprochen. Das Wetter ist einfach zu unbeständig. Das sagt meine eigene Statistik. Es gibt weitere Monate, die gar nicht gehen. November und Februar. Mitte Juli bis Ende August wegen Calima. Der Januar ist i.d.R gut. Der Dezember je nach dem. Bis Oktober ist das Wetter aber grundsätzlich Ok. 

!!Der Erdschatten über dem Mt. Blanc beim Rückflug

Auf dem Rückflug war ich dann zufällig zur richtigen Zeit am richtigen Ort. 10000m üNN im Flieger nach Frankfurt und durfte den Aufgang des Erdschattens mit verfolgen. Kurz vor seinem Verschwinden kommen wir sogar am Mt. Blanc vorbei (Bild links unten). 

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/QfEZ53" title="Untitled"><img src="https://live.staticflickr.com/7855/47587502271_dc1ba8099c_k.jpg"></a>

Dabei zeigt der Erdschatten keinen Venusgürtel, d.h. keinen rosa Übergang zum Himmel, sondern bleibt fast farblos. Dies habe ich schon mal auf dem [[Flug nach Windhoek|Namibia Mai 2017]] sehen dürfen. Warum ich das schreibe? Ganz einfach: Gestern habe ich den Venusgürtel beim Aufgang des Erdschattens auf dem Roque verfolgt und so ist mir das Ganze sehr präsent. Ich finde dies faszinierend. Die anderen Fluggäste haben davon nichts mitbekommen. 

Objekt: ESO 34-11, Teleskop: 25" f/4 Newton, 
Vergrößerung: 700 fach, Filter: -, Bedingungen: SQM-L 21.76, Ort: Tivoli Astrofarm, Zeitpunkt: 20.05.2015 19:20 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18343236458" title="ESO34-11 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/9/8897/18343236458_04334eae53_z.jpg"></a>
[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18344824539/in/photostream/]]

Objekt: ESO 495-21 = Henize 2-10, 25" f/4 Dobson, Vergrößerung: 1000x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[29.05.2019|29. Mai 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/q61591" title="ESO 495-21"><img src="https://live.staticflickr.com/65535/51741256206_cb73b94fda_c.jpg" alt="ESO 495-21"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51741900794/in/photostream/]]

____Objekt: Fleming 1, 25" f/4 Dobson, Vergrößerung: 670x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[05.06.2021|05. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/63bH99" title="Fleming 1"><img src="https://live.staticflickr.com/65535/51658591758_f48cff1cb7_c.jpg"  alt="Fleming 1"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51545286756/in/photostream/]]

Objekt: Fornax-Galaxienhaufen, Teleskop: 20" f/3.8 Newton, Vergrößerung: 100x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[08.12.2023|8. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/V7s048RATw" title="Fornax Galaxienhaufen"><img src="https://live.staticflickr.com/65535/53543534238_7784f544f4_h.jpg" alt="Fornax Galaxienhaufen"/></a>

Objekt: [FMP2006b] = ''Frew''+Madsen+Parker = Fr 2-8 (PNG 313.8+10.3) = PGC 49877, 25" f/4 Dobson, Vergrößerung: 125x, Filter: UHC, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[14.06.2021|14. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4i6qtL" title="Fr 2-8"><img src="https://live.staticflickr.com/65535/51792695304_ddfb2b4913_c.jpg" alt="Fr 2-8"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51792695324/in/datetaken/]]

Die Seite einer Beobachtergemeinschaft mit zahlreichen Tips. Mathias kenne ich von gemeinsamen Nächten auf der Wasserkuppe persönlich.

{{!!url}}

<<<
Mathias beobachtet häufig mit 18 & 10" Zoll Newton. Seine [[Zeichnungen|https://www.freunde-der-nacht.net/zeichnungen/zeichnungen-mathias/]] zeigen einen sehr realistischen Eindruck der Objekte.

Auf der Seite selbst gibt es viele Beobachtungstips und sogar einen Atlas zum herunterladen.
<<<

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/dTZmKF" title="Blick von der Langen Rhön"><img src="https://live.staticflickr.com/65535/49764151316_4fdebdb98d_k.jpg" alt="Blick von der Langen Rhön"></a>

!!Die beste Zeit in der Rhön bricht an

Das Frühjahr ist die beste Zeit in der Rhön. Nur zu dieser Jahreszeit kann man mit bester Transparenz rechnen. SQM-L Werte bis 21.8 sind dann möglich. In Zenitnähe ist der Himmel tatsächlich sehr dunkel und es lässt sich wirklich hervorragend beobachten. Im übrigen sind die Nächte aber noch bitter kalt. 

!!Corona im Frühjahr

Die Corona Pandemie hält uns im Griff. Ein Vorteil ist, dass die Straßen leer sind und ich schnell in die Rhön fahren kann. Das ist ja auch mal was. Normalerweise gestalten sich solche Ausflüge sehr schwierig und in der Regel bin ich nach der Anfahrt schon von derselben richtig genervt.

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4YTM4j"><img src="https://live.staticflickr.com/65535/49923944407_3da7316877_h.jpg" ></a>Die Sommermilchstraße steht bereits tief am Himmel, als der große Wagen den Zenit immer noch dominiert. Der helle Stern ist Arktur im Sternbild Bootes. Mehrere Minuten lang nachgeführte Aufnahme.</div>

In der Tabelle sind die Beobachtungsnächte dieses Frühjahrs zusammengefasst. Durch Klick auf die entsprechende Links kommt man zum jeweiligen Beobachtungsbericht.

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 24.-25.03.|24. März 2020 - Coronanacht in der Langen Rhön]]|''14" Dobson, 5 h, Ort: Lange [[Rhön]], SQM-L 21.7 bis 21.9, -4 °C, 2 Objekte''<br> M81, __[[M51]]__|
|[[2. Nacht / 11.-12.04.|11. April 2020 - Ostersamstag]]|''14" Dobson, 3 h, Ort: Lange [[Rhön]], SQM-L 21.8, 0 °C, Ein Objekt''<br>__[[NGC 4236]]__|
|[[3. Nacht / 19.-20.04.|19. April 2020 - Thüringer Hütte]]|''14" Dobson, 5.5 h, Ort: Lange [[Rhön]] (Thüringer Hütte), SQM-L 21.8-9, +3 °C, Ein Objekt''<br>__[[Komet C/2019 Y4 Atlas|C/2019 Y4 Atlas]]__, __[[NGC 4449]]__, M94, M108|
|[[4. Nacht / 25.-26.04.|25. April 2020 - Lange Rhön]]|''14" Dobson, 4.5 h, Ort: Lange [[Rhön]],  SQM-L 21.9, -1 °C, Ein Objekt''<br>__[[NGC 5248]]__, M13, M3, M24,...|
|[[5. Nacht / 17.-18.05.|17. Mai 2020 - Lange Rhön]]|''3" Refraktor & 10x42 Feldstecher, 2.5 h, Ort: Lange [[Rhön]],  SQM-L 21.9, +0°C, Verschiedene Objekte''<br>M51, M13, M57, M24,...|

Ich erwähnte bereits, dass im Frühling die besten Bedingungen herrschen. Der beste Monat ist meiner Erfahrung nach der April. Im April sind die Nächte noch hinreichend lang. Im Mai schrumpfen sie auf gerade einmal drei Stunden. Da bin ich auch froh, dass es dieses Jahr so viele klare Nächte im April gibt. Bereits letztes Jahr hatte ich entschieden, um diese Zeit nicht mehr nach La Palma zu fliegen, um den ebenfalls erfahrungsgemäß schlechtem Wetter im Süden aus dem Weg zu gehen. Da bin ich auch froh, dass es dieses Jahr so viele klare Nächte im April gibt. Bereits letztes Jahr hatte ich entschieden, um diese Zeit nicht mehr nach La Palma zu fliegen, um den ebenfalls erfahrungsgemäß schlechtem Wetter im Süden aus dem Weg zu gehen. Eine weise Entscheidung, oder anders ausgedrückt pures Glück!

Die Rhön bietet im Frühling den besten Himmel. SQM-L Werte über 21.6 sind dann bei klarem Himmel schon fast die Regel. Ab Mitternacht wird der Himmel noch mal dunkler.

Bis Mitte Mai lohnt sich in der Regel die Beobachtung. Dann werden die Nächte zu kurz bzw. der Himmel gar nicht mehr richtig dunkel. Erst ab Ende Juli macht es tatsächlich Sinn wieder hierher zu kommen. In Anbetracht der Tatsache, dass im Moment keine Flüge gehen, ein sehr schwacher Trost. Normalerweise bin ich nämlich im Sommer in Namibia.

!Beobachtung im März

!!Die Corona Pandemie ist mittlerweile schon ein Jahr „alt“

Wahnsinn! Corona hat uns mittlerweile ein Jahr im Griff. Ein richtiges Ende ist noch gar nicht abzusehen, selbst wenn es bereits Impfstoffe gibt und entsprechende Impfungen dazu. Bis in den Februar hinein gab es deshalb auch Ausgangssperren, die auch für die Rhön galten, je nachdem in welchem Bundesland man sich gerade aufgehalten hat. 

Die Frühjahrssaison, was klaren Himmel anbelangt, beginnt diesmal sehr früh: bereits Mitte Februar deutet sich ein Wetterumschwung an, der möglicherweise wie in den vergangenen Jahren ein sehr trockenes Frühjahr einleiten wird. Der zurückliegende Winter war im Vergleich eine Katastrophe, von Mitte November bis Mitte Februar ging praktisch nichts. 

<<<

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/800U14" title="Untitled"><img src="https://live.staticflickr.com/65535/50998668453_86aba9726f_k.jpg"></a>

Oben eine Aufnahme vom 13. Februar und unten zweieinhalb Wochen später. Der Schnee ist komplett weg, nur vereinzelte Reste sind noch zu erkennen. Die Temperaturen damals waren -10 °C und sind jetzt bei circa +9 °C! Was für ein Kontrast in so kurzer Zeit. Das ist mal ein Übergang vom Winter in den Frühling!

<<<

!!Das Wetter bessert sich...Endlich!

Die erste Nacht ergibt sich schließlich Anfang März. Die Schneedecke ist komplett weg, bis auf einzelne Fetzen, die in Mulden und an Nordhängen noch hin und wieder zu sehen sind. Ein paar Tage später zieht noch mal ein kräftiges Tief mit Schnee aus dem Norden kommend über das Land. Es bringt noch mal Schnee in die Rhön, aber nicht viel. Dennoch reicht es, um die Berge noch mal zu „verzuckern“.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/uy6Vf3" title="Untitled"><img src="https://live.staticflickr.com/65535/51012478161_92ca0e0b26_k.jpg"></a>

Die Nächte sind somit Anfang März auch sehr kalt. Im Schnitt haben wir jede Nacht -6 °C gehabt. Zusammen mit der hohen Luftfeuchtigkeit, die praktisch immer in der Rhön vorhanden ist, wird das ganze trotz Winterklamotten unangenehm. Insbesondere an den Fingern äußert sich das, denn selbst Zeichenstift und Papier wirken unglaublich kalt, wenn man sie auch nur berührt.

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/25132B" title="Untitled"><img src="https://live.staticflickr.com/65535/50999266916_0c5f96f9d8_h.jpg" alt="Untitled"></a>Die Aufnahme stammt vom 2. März direkt nach dem Einsetzen der astronomischen Dämmerung gegen 20 Uhr Ortszeit. Rechts ist das Zodiakallicht sehr gut zu erkennen. Der große Hund geht gerade durch den Meridian. Die Bedingungen waren für die Uhrzeit (20 Uhr) geradezu unglaublich 😻, was die Dunkelheit des Nachthimmels und die Transparenz anbelangen.</div>

In der Tabelle sind die Beobachtungsnächte dieses Frühjahrs zusammengefasst. Durch Klicken auf die entsprechende Links kommt man zum jeweiligen Beobachtungsbericht.

!Beobachtungsnächte im März

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 02.03.|2. März 2021 - Lange Rhön]]|''14" Dobson & Feldstecher, 2.5 h, Ort: Lange [[Rhön]], SQM-L 21.4-6, +4 °C, 2 Objekte''<br> Barnard's Loop im 10x50 Feldstecher, NGC 2403|
|[[2. Nacht / 05.-06.03.|5. März 2021 - Lange Rhön]]|''14" Dobson, 6.5 h, Ort: Lange [[Rhön]], SQM-L 21.8, -7 °C, Objekte''<br>NGC 2112 im Feldstecher, __[[NGC 2403]]__|
|[[3. Nacht / 06.-07.03.|6. März 2021 - Lange Rhön]]|''14" Dobson, 7.5 h, Ort: Lange [[Rhön]], SQM-L 21.6-85, -5 °C, viele Objekte''<br>NGC 2112, __[[NGC 2403]]__, __[[NGC 3631 mit 14 Zoll]]__,  __[[M88]]__, M51, M97, M99, M100, M98, M13, M3, NGC 5456, M57, IC 2574, M81 & M82, M101, M97|

Der März begann mit drei guten Nächten ausgesprochen vielversprechend. Diese waren gerade zu unglaublich, vielleicht auch wegen der langen Durststrecke. Die Nächte haben sich bei mir im Kopf „eingebrannt“. Die werde ich so schnell nicht vergessen. Hoffen wir mal, dass das im Verlauf des Frühjahrs weiter so bleibt. Ich hoffe nach dem März auf den kommenden April, denn zum Märzneumond sind Wolken ☁️ & Regen 🌧 angekündigt.

!Beobachtung im April

Schon wieder ist ein Monat rum. Beobachtungsmöglichkeiten gab es bis auf Anfang März keine. Dann kam der Vollmond und mittlerweile nimmt er wieder ab. Am Osterwochenende gibt es mittlerweile sehr lange Nächte. Sehr ungewöhnlich! Wir ergattern diesmal eine gute Nacht. 

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 03.04.|3. April 2021 - Lange Rhön]]|''14" Dobson, 5.5 h, Ort: Lange [[Rhön]], SQM-L 21.7-85, -3 °C, 2 Objekte''<br>[[NGC 3628 - Gezeitenschweif]], NGC 3430 & 3424, [[NGC 3395 & 3396 = Arp 270]]|

Ich erwähnte bereits [[letztes Jahr|Frühjahr 2020]], dass im Frühling die besten Bedingungen herrschen. Aber dieses Jahr scheint das __nicht __ zu gelten!

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/fNe200" title="Untitled"><img src="https://live.staticflickr.com/65535/51927541282_a1a3d55cea_k.jpg"></a>Das Zodiakallicht ist ein zartes Pflänzchen. Wenn die Bedingungen passen, reckt es sein Hälschen empor und ist gerade so erkennbar. </div>

Endlich! Es geht wieder los. Der Frühling ist auf dem Weg und im Gepäck hat er ein kurzes klares Wetterfenster. Los geht es arbeitnehmerfreundlich am Wochenende, genauer gesagt am Samstag. Ich habe heute mein neues Teleskop im Gepäck und möchte mein First Light erleben, aber tatsächlich ist  es ein Second Light. Es handelt sich um ein 21 Zoll Newton, den ich im [[letzten Dezember|Neues Teleskop oder was?]] erstanden hatte.

!Bitterkalte Nächte im ausgehenden Winter

Vorhergesagt sind kalte Nächte mit Tiefsttemperaturen im niedrigen einstelligen Bereich, aber mit ordentlich Wind. Ich weiß nicht warum, aber sie gehören zu den erfahrungsgemäß härtesten Nächten eines Beobachters. Jedenfalls geht es mir so. Vermutlich liegt es daran, dass die Nächte schon kalt beginnen, anders als in den späteren Frühlingsnächten. Schön ist vor allen Dingen, dass die Nächte noch richtig lang sind.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 27.02.-28.02.|27. Februar 2022 - Lange Rhön]]|''21" Dobson, 9 h, Ort: [[Lange Rhön|Rhön]], klar, -5° C, kein Mond 🌑, SQM-L 21.6,''<br>Second Light des 21 Zöllers, viele Schaustücke des Winter – und Frühjahrshimmel|
|[[2. Nacht / 28.02.-01.03.|28. Februar 2022 - Lange Rhön]]|''21" Dobson, 6 h, Ort: [[Lange Rhön|Rhön]], klar, -4° C, kein Mond 🌑, SQM-L 21.6''<br>viele Schaustücke des Winter – und Frühjahrshimmel|

!Übernachtung in Birx

Vermutlich der Corona Lage geschuldet bekomme ich recht einfach, für mich gerade zu erstaunlich, verschiedene Zimmerangebote auf der Wasserkuppe. Das ist natürlich fantastisch, denn so muss ich nicht nach durchwachter Nacht die 130 km Strecke nach Hause fahren. Am Ende entscheide ich mich für eine Unterkunft in Birx.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/gW1f22" title="Kurz vor Monduntergang"><img src="https://live.staticflickr.com/65535/51926234403_1f5824a115_k.jpg" alt="Kurz vor Monduntergang"></a> Der Himmel über „Stumpi“ kurz vor Monduntergang. </div>

Die Wettervorhersage ist am Ende aber nicht so präzise, dass man einfach so losfahren kann, sondern muss tatsächlich - wie so häufig - die tagesaktuelle Vorhersage abwarten. 
Nach drei Tagen lässt die Transparenz stark nach, Dunst breitet sich aus. Das Wetterfenster schließt sich wieder.

Knapp eine Woche später geht es weiter. Leider verhindert er einen Kaltluftpfropfen die weitere Beobachtung am kommenden Wochenende. 

!Sternenwelt Vogelsberg - Stumpertenrod 

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 7.03.-8.03.|7. März 2022 - Stumpertenrod]]|''21" Dobson, 9 h, Ort: [[Stumpertenrod|Stumpertenrod]], extrem klar, -4° C, 🌜  Monduntergang gegen Mitternacht, SQM-L 21.7-8, hohe Luftfeuchtigkeit''<br>NGC 3344, Arp 84 = NGC 5394 & 95 aka „Herongalaxie“, M13, M57, M97|
|[[2. Nacht / 9.03.-9.03.|9. März 2022 - Stumpertenrod]]|''21" Dobson, 9 h, Ort: [[Stumpertenrod|Stumpertenrod]], klar, -5° C, 🌜  Monduntergang gegen ein Uhr morgens, SQM-L 21.85''<br>M53, NGC 4567 & 68 - Siamesische Zwillinge, NGC 3319, UGC 102014-„Tadpole Galaxy“, Palomar 5|

„Stumpi“ mausert sich zu einer echten Alternative zur Rhön. Deutlich schneller erreichbar und angenehmer zu fahren. Ähnlich dunkel, hin und wieder sogar dunkler. Bin sehr froh die halbgaren Nächte noch genutzt zu haben. Die Transparenz war hervorragend und der Himmel ausgesprochen dunkel. Ein mit Beobachter, der am ersten Tag fotografiert hat, erklärte dazu, dass man mit Sabine Frank, der Koordinatorin gegen die Luftverschmutzung im Sternenpark Rhön Kontakt aufgenommen habe, um ein ähnliches Projekt auch hier zu starten. Ich habe beim durchfahren durch die Ortschaften viel helles LED Licht gesehen, dass aber im Gegensatz zu früher, tatsächlich wirklich nur nach unten abstrahlt. Insgesamt hatte ich den Eindruck, dass relativ wenig Licht eingesetzt wird. Wenn man das mit den LED Lampen noch in den Griff bekommen sollte, könnte sich hier noch mal einiges tun. Insbesondere Lichtbuckel sind kaum aus zu machen, beziehungsweise stammen von wirklich weit entfernten Städten wie Frankfurt und Fulda. In der Rhön tragen zum Teil die Dörfer auch zur Lichtverschmutzung bei, was hier aber offensichtlich nicht der Fall ist.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9Mdem4" title="Untitled"><img src="https://live.staticflickr.com/65535/51925943426_c3f00b6927_k.jpg"></a>

Mit dem neuen Teleskop, genannt „der Dicke“, ist die Motivation noch mal deutlich gestiegen. Der frühe Auftakt war auf jeden Fall hart. In der Rhön mit viel Wind bin ich fast erfroren. Später in „Stumpi“ zwar auch, aber der Wind blieb zum Glück aus. Zweimal einen „Gesichtsbrand“, der mich vorübergehend deutlich gealtert aussehen lässt. Zum Glück ist das ganze reversibel, aber nicht ganz.😅

Ende März geht es schließlich weiter. Vier weitere Nächte folgen. 

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 24.03.-25.03.|24. März 2022 - Lange Rhön]]|''21" Dobson, 6 h, Ort: [[Lange Rhön|Rhön]], dunstig mit Calima, +4° C, 🌜  Mondaufgang gegen 3 Uhr morgens, SQM-L 21.44, niedrige Luftfeuchtigkeit''<br>NGC 3344, Arp 84 = NGC 5394 & 95 aka „Herongalaxie“, M13, M57, M97|
|[[2. Nacht / 25.03.-26.03.|25. März 2022 - Lange Rhön]]|''21" Dobson, 7 h, Ort: [[Lange Rhön|Rhön]], klar, +1 ° C, 🌜  Mondaufgang gegen 4 Uhr morgens, SQM-L 21.4-6''<br>M42, NGC 2438, M35, Eskimonebel, M96, M51, M53, NGC 4567 & 68 - Siamesische Zwillinge, Arp 143, M64|
|[[3. Nacht / 26.03.-27.03.|26. März 2022 - Lange Rhön]]|''21" Dobson, 7 h, Ort: [[Lange Rhön|Rhön]], sehr klar, +1 ° C, 🌜  Mondaufgang gegen 4 Uhr morgens, SQM-L 21.4-6''<br>M42, NGC 2438, M35, Eskimonebel, M96, M51, M53, NGC 4567 & 68 - Siamesische Zwillinge, Arp 143, [[M64]]|
|[[4. Nacht / 27.03.-28.03.|27. März 2022 - Lange Rhön]]|''21" Dobson, 8 h, Ort: [[Lange Rhön|Rhön]], extrem klar, +4° C, kein Mond 🌑, SQM-L 21.7''<br>M42, [[NGC 2024 - Flammennebel]], M109, [[NGC 2392 - Eskimonebel - Innere Strukturen]], [[NGC 4656 - Hockeyschläger]], [[NGC 4631 & 4627 - Walgalaxie]], Halo von M57, NGC 7000|

Ich war die kompletten vier Nächte wieder in Birx untergebracht. Sehr schön hier. Winziges Dorf, auf der Thüringer Seite gelegen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/qCD50x" title="Untitled"><img src="https://live.staticflickr.com/65535/51960865927_86a08e2053_k.jpg"></a>

Mega März mit acht klaren Nächten!

Objekt: G1, Teleskop: 21" f/3.8 Dobson, Vergrößerung: ca. 561x, Filter:-, Bedingungen: SQM-L 21.46, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[28.08.2022|28. August 2022 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/dP5mGEHK3b" title="Untitled"><img src="https://live.staticflickr.com/65535/52331877470_2c745c6436_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52335654120/in/dateposted/]]

Objekt: G1 & G2 (markiert), Teleskop: 21" f/3.8 Dobson, Vergrößerung: ca. 231x, Filter:-, Bedingungen: SQM-L 21.46, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[28.08.2022|28. August 2022 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/55SitZq6GE" title="G1 &amp; G2"><img src="https://live.staticflickr.com/65535/52331132143_9f443c5ef0_c.jpg" alt="G1 &amp; G2"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52331317605/in/photostream/]]

Objekt: G280 (markiert) & C410 & G272 (markiert) von links nach rechts, Teleskop: 21" f/3.8 Dobson, Vergrößerung: ca. 561x, Filter:-, Bedingungen: SQM-L 21.46, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[28.08.2022|28. August 2022 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4m479V93jh" title="C410"><img src="https://live.staticflickr.com/65535/52326466416_85fc2f5ca6_c.jpg" alt="C410"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52326466436/in/photostream/]]

![[Index - Galaktische Nebel]]

!!''__Messier__'' > NGC > IC > Sharpless > Misc

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!!Messier > NGC > ''__IC__'' > Sharpless > Misc

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!!Messier > NGC > IC > ''__Sharpless__'' > Misc

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!!Messier > NGC > IC > Sharpless > ''__Misc__''

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![[Index - Galaxien]]

Galaxien sind riesige Ansammlungen von Sternen. Sie stellen eine der Grundstrukturen unseres Universums da. [[Planetarische Nebel]] und [[Reflexionsnebel]], die mit Teleskopen beobachtet werden können, sind meist Objekte unserer Galaxie, der Milchstraße.

!!''__Messier__'' > NGC > IC > UGC > PGC > Misc

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!!Messier > ''__NGC__'' > IC > UGC > PGC > Misc

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!!Messier > NGC > ''__IC__'' > UGC > PGC > Misc

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!!Messier > NGC > IC > ''__UGC__'' > PGC > Misc

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Galaxiengruppen sind eine kleinere Ansammlung von Galaxien. Galaxienhaufen enthalten hingegen viel mehr Galaxien (bis oder über tausend), die sich um ein gemeinsames Schwerezentrum bewegen. Sie stellen eine grundlegende Struktur des Universums dar [[Quelle: Wikipedia|https://de.wikipedia.org/wiki/Galaxiengruppen_und_Galaxienhaufen]]. 

!!''__NGC__'' > Abell > HCG > Misc

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!!NGC > ''__Abell__'' > HCG > Misc

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!!NGC > Abell > ''__HCG__'' > Misc

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<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24641932585/in/datetaken-public/" title="Light brigde and Gegenschein"><img src="https://farm2.staticflickr.com/1612/24641932585_819861ddb4_b.jpg"  alt="Light brigde and Gegenschein"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Das Foto ist eine Auskopplung aus dem Pano vom Roque de los Muchachos. Links steigt die Zodikallichtpyramide im Osten bis zum Zenit auf. Bei M44 ist schwach der Gegenschein erkennbar. Die Lichtbrücke kreuzt die Wintermilchstraße und setzt sich bei den Plejaden fort.

Der [[Gegenschein|https://de.wikipedia.org/wiki/Zodiakallicht]] ist ein äußerst beeindruckendes Objekt am Nachthimmel. Er geht auf, wenn die Sonne untergeht und kulminiert wenn die Hälfte der Nacht rum ist. Er ist oval und sehr groß, ca. 10° im Durchmesser. Er ist äußerst diffus, aber dennoch für erfahrene Beobachter nicht unbedingt schwer zu erkennen. Er liegt auf der sogenannten Lichtbrücke, einem schwachen Band, dass sich vom Osten nach Westen erstreckt und die Tierkreissternbilder passiert. Daher auch der Name Zodiakallicht. Beide Phänomene hängen unmittelbar zusammen. Der Gegenschein ist das Abbild der Sonne, auf der an den Nachthimmel projizierten Erdbahn, wo sich Staubteilchen befinden an denen das Sonnenlicht gestreut wird.

!!Die Beobachtung

Wer den Gegenschein zum ersten Mal sehen will, sollte sich vorbereiten. Dazu sollte der Gegenschein zum Kulminationszeitpunkt ermittelt werden, denn dann steht er (im Süden) am höchsten. Dazu ist der Zeitpunkt der Nachthälfte zu berechnen, was so geht: z.B. anhand von Sonnenauf- und Untergang, wobei man das Mittel bestimmt. Nun kann man in einem Planetariumsprogramm nachschauen welches Sternbild des Tierkreises zu dieser Zeit im Süden steht. Fertig! 

!!Zur Sommer- und Wintersonnenwende ist der Gegenschein nicht beobachtbar

Zu beachten ist, dass im Dezember und im Juni der Gegenschein praktisch unbeobachtbar ist, da er vor der hellen Milchstraße steht. Im Sommer ist er generell schlechter sichtbar, da die Sternbilder des Tierkreises grundsätzlich zu dieser Zeit in Mitteleuropa tief stehen und die Höhe über Horizont gering ist. Gilt natürlich nicht für den Südhimmel, wie z.B. Namibia.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26739785807/in/datetaken/" title="Gegenschein"><img src="https://farm1.staticflickr.com/828/26739785807_7c407cb3af_h.jpg" alt="Gegenschein"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Und so sieht er aus: Mittig auf dem Foto gegenüber der Milchstraße ist er als ovaler, diffuser Fleck erkennbar. Wenn man ihn einmal gesehen hat, ist er gar nicht so schwer!

Objekt: GN 03.47.9 = Kr 2- 1 = PK 149-1.1, Teleskop: 20" f/3.8 Newton, Vergrößerung: 351x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[13.12.2023|13. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/t9upPjC5h6" title="GN 03.47.9 &#x3D; Kr 2-1"><img src="https://live.staticflickr.com/65535/53480744706_3395ffa565_h.jpg" alt="GN 03.47.9 &#x3D; Kr 2-1"/></a>

Objekt: GN 05.55.3, Teleskop: 20" f/3.8 Newton, Vergrößerung: 351x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[15.12.2023|15. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6gD5U7aqgf" title="GN 05.55.3"><img src="https://live.staticflickr.com/65535/53478268508_08cec22971_h.jpg" alt="GN 05.55.3"/></a>

Objekt: NGC 7552, 7582, 7590 & 7599, Teleskop: 20" f/3.8 Newton, Vergrößerung: 138x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[07.12.2023|7. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7VMK8F1P6q" title="Grus-Quartett"><img src="https://live.staticflickr.com/65535/53511512220_e2894dba52_h.jpg" alt="Grus-Quartett"/></a>

Objekt: Gyulbudaghian 98-171, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290 fach, Filter:-, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[15.10.2017|15. Oktober 2017 - Wasserkuppe]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/37819852582/in/datetaken-public/" title="Gyulbudaghian 98-171"><img src="https://farm5.staticflickr.com/4457/37819852582_9ce9f6304b_c.jpg" alt="Gyulbudaghian 98-171"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/23999036898/in/datetaken-public/]]

Objekt: HDW 12, Teleskop: 25" f/4 Newton, 
Vergrößerung: 125x & 178x, Filter: OIII, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[11.06.2021|11. Juni 2021 - Tivoli Astrofarm]] & [[26.06.2022|26. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/KK9iU8n0ee" title="HDW 12"><img src="https://live.staticflickr.com/65535/52251059604_52a2d30667_c.jpg" alt="HDW 12"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52251059599/in/photostream/]]

Objekt: Hartl-Dengel-Weinberger 2, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter: OIII, Bedingungen: SQM-L 21.89, Ort: Llanos de las Animas, Zeitpunkt: [[14.01.2018|14. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40737563644/in/datetaken-public/" title="HDW 2"><img src="https://farm1.staticflickr.com/875/40737563644_8641546dde_c.jpg" alt="HDW 2"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41452007441/in/datetaken-public/]]

Objekt: HCG 10, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.7, Ort: Weinberge über Puntagorda, Zeitpunkt: [[19.01.2018|19. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43059102842/" title="HCG 10"><img src="https://farm2.staticflickr.com/1782/43059102842_dbd527e5bb_c.jpg" alt="HCG 10"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43059102822/in/photostream/]]

Objekt: HCG 22, Teleskop: 14" f/4.6 Newton, Seeing: Perfekt!, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Puerto de la Losa, Zeitpunkt: [[27.12.2016|27. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32814161131/in/datetaken-public/" title="Untitled"><img src="https://c1.staticflickr.com/3/2593/32814161131_e75ede614b_b.jpg" ></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32938536195/in/datetaken-public/]]

Objekt: HCG 26, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Roque de los Muchachos, Zeitpunkt: [[26.01.2017|26. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32881683840/in/photostream/" title="HCG 26"><img src="https://c1.staticflickr.com/3/2873/32881683840_9dfa41ac15_o.jpg" alt="HCG 26"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33222875326/in/photostream/]]

Objekt: HCG 30, Teleskop: 14" f/4.6 Newton, Seeing: Perfekt!, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Puerto del Pinar, Zeitpunkt: [[29.12.2016|29. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31972612220/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/1/288/31972612220_aa90305514_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32229516521/in/datetaken/]]

Objekt: HCG 31, Teleskop: 14" f/4.6 Newton, Seeing: Perfekt!, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Puerto del Pinar, Zeitpunkt: [[30.12.2016|30. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32310260496/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/1/769/32310260496_d5d8d47808_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31538475573/in/datetaken/]]

Objekt: HCG 44, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.63, Ort: Roque de los Muchachos, Zeitpunkt: [[31.03.2017|31. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34154308686/in/datetaken-public/" title="HCG 44"><img src="https://c1.staticflickr.com/3/2855/34154308686_e65a93786d_b.jpg" alt="HCG 44"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33810904990/in/datetaken-public/]]

Objekt: HCG 51, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[24.01.2017|24. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33375819145/" title="HCG 51"><img src="https://c1.staticflickr.com/4/3697/33375819145_b82bdd4db4_o.jpg" alt="HCG 51"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33248125781/in/photostream/]]

Objekt: HCG 53, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.63, Ort: Roque de los Muchachos, Zeitpunkt: [[31.03.2017|31. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33347961284/in/datetaken-public/" title="HCG 53"><img src="https://c1.staticflickr.com/3/2822/33347961284_601882e45f_b.jpg" alt="HCG 53"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34033029932/in/datetaken-public/]]

Objekt: HCG 54, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.63, Ort: Roque de los Muchachos, Zeitpunkt: [[31.03.2017|31. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33377214694/in/datetaken-public/"><img src="https://c1.staticflickr.com/3/2906/33377214694_d395bcfddb_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34088437011/in/datetaken-public/]]

Objekt: HCG 55, Teleskop: 14" f/4.6 Newton, Seeing: Perfekt!, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.85, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32229515441/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/6/5574/32229515441_dce4af0a5e_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31507264224/in/datetaken/]]

Objekt: HCG 56, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[28.03.2017|28. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33974773896/in/datetaken-public/" title="HCG 56"><img src="https://c1.staticflickr.com/3/2808/33974773896_29aa1784c3_o.jpg" alt="HCG 56"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34015937495/in/datetaken-public/]]

Objekt: HCG 57, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.63, Ort: Roque de los Muchachos, Zeitpunkt: [[25.03.2017|25. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34172165480/in/datetaken-public/" title="HCG 57"><img src="https://c1.staticflickr.com/5/4191/34172165480_8c10ab48ea_o.jpg" alt="HCG 57"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33747706053/in/datetaken-public/]]

Objekt: HCG 61, Teleskop: 14" f/4.6 Newton, Seeing: Perfekt!, Vergrößerung: 114, Filter: -, Bedingungen: SQM-L 21.65, Ort: Rhön, Zeitpunkt: 19.04.2015 02:45

<a href="https://www.flickr.com/photos/106029581@N02/16602870734" title="HCG61 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7700/16602870734_57db361015_z.jpg"  alt="HCG61"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/17225317465]]

Objekt: HCG 61 - The Box, Teleskop: 20" f/3.8 Newton, Vergrößerung: 351x, Filter:-, Ort:  [[Athos Star Campus]], Zeitpunkt: [[11.12.2023|11. Dezember 2023 - Athos Star Campus]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/32368Q1E73" title="Box Galaxien"><img src="https://live.staticflickr.com/65535/53449025588_3a0b33c72e_h.jpg" alt="Box Galaxien"/></a>

Objekt: HCG 62, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.85, Ort: Reventón, Zeitpunkt: [[22.01.2017|22. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32863684942/" title="HCG 62"><img src="https://c1.staticflickr.com/3/2704/32863684942_822a0b3b1d_b.jpg" alt="HCG 62"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32637186170/in/photostream/]]

Objekt: HCG 70, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[27.03.2017|27. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34032282381/in/datetaken-public/" title="HCG 70"><img src="https://c1.staticflickr.com/3/2911/34032282381_ca409280d5_b.jpg" alt="HCG 70"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34005581402/in/datetaken-public/]]

Objekt: HCG 79 - Seyfert's Sextett, Teleskop: 25" f/4 Newton, 
Vergrößerung: 454 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[4.06.2019|04. Juni 2019 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/0HAS6A" title="HCG 79"><img src="https://live.staticflickr.com/65535/48812873713_53aab6fac8_c.jpg" alt="HCG 79"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48813374817/in/photostream/]]

Objekt: HCG 8, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[14.10.2017|14. Oktober 2017 - Wasserkuppe]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/37815101502/in/datetaken-public/" title="HCG 8"><img src="https://farm5.staticflickr.com/4510/37815101502_88b13337f9_c.jpg" alt="HCG 8"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/37847004631/in/datetaken-public/]]

Objekt: Heckathorn-Fesen-Gull 1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter: OIII und ohne, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[20.01.2018|20. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26610142518/" title="Heckathorn-Fesen-Gull 1"><img src="https://farm5.staticflickr.com/4721/26610142518_7a0ee08367_c.jpg" alt="Heckathorn-Fesen-Gull 1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40437884982/in/photostream/]]

https://c1.staticflickr.com/5/4194/34343806466_22e60585c5_z.jpg

https://farm1.staticflickr.com/652/21734121711_e9a26ba729.jpg

https://c3.staticflickr.com/8/7319/26888599594_5cff7784cf.jpg

Objekt: Henize 1-4, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 455x, Filter: OIII, Bedingungen: SQM-L 21.9, Ort: [[Athos Star Campus]], Zeitpunkt: [[19.09.2020|19. September 2020 - La Palma]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Y1Y921" title="Henize 1-4"><img src="https://live.staticflickr.com/65535/50558763733_4b3b2553c3_c.jpg" alt="Henize 1-4"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50559505456/in/photostream/]]

Objekt: Henize 1-5, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter:OIII, Bedingungen: SQM-L 21.7, Ort: St. Cristobal, Zeitpunkt: [[16.07.2018|16. Juli 2018 - Alto Tajo]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43665157232/" title="Henize 1-5"><img src="https://farm1.staticflickr.com/930/43665157232_97efe9741a_c.jpg" alt="Henize 1-5"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/42996385304/]]

____Objekt: Henize 2-104 - Southern Crab, 25" f/4 Dobson, Vergrößerung: 670x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[09.06.2021|09. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/xnG96C" title="He 2-104"><img src="https://live.staticflickr.com/65535/51696538854_29c489a23e_c.jpg" alt="He 2-104"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51696138358/in/photostream/]]

____Objekt: Henize 2-111, 25" f/4 Dobson, Vergrößerung: 670x, Filter: OIII, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[09.06.2021|09. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/M9C308" title="Henize 2-111"><img src="https://live.staticflickr.com/65535/51413401444_b798389fc2_b.jpg" alt="Henize 2-111"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51412645391/in/photostream/]]

Objekt: Henize 2-141, Teleskop: 25" f/4 Newton, Vergrößerung: 670-1200x, Filter: OIII, Bedingungen: SQM-L 21.73, Ort: Tivoli Astrofarm, Zeitpunkt: [[31.05.2017|31. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/27013832699/" title="Henize2-141"><img src="https://farm5.staticflickr.com/4515/27013832699_e66d7b722c_c.jpg" alt="Henize2-141"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/38029907812/in/photostream/]]

Objekt: He 2-207, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.9, Ort:  Tivoli Astrofarm, Zeitpunkt: [[27.05.2017|27. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35581299663/in/datetaken-public/" title="He 2-207"><img src="https://farm5.staticflickr.com/4414/35581299663_12ccabd105_b.jpg" alt="He 2-207"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36389330985/in/datetaken-public/]] [[High Resolution|https://www.flickr.com/photos/106029581@N02/35581299693/in/datetaken-public/]]

Objekt: Henize 2-29, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter: UHC, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[23.05.2017|23. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36650939075/in/datetaken-public/" title="Heinze 2-29"><img src="https://farm5.staticflickr.com/4358/36650939075_0213d76307_c.jpg"  alt="Heinze 2-29"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36512659731/in/datetaken-public/]]

Objekt: Henize 2-37, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter: OIII, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[28.06.2022|28. Juni 2022 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6u1z0jU14R" title="Heinze 2-37"><img src="https://live.staticflickr.com/65535/52285033125_10f9715dd9_c.jpg" alt="Heinze 2-37"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52284815724/in/photostream/]]

Objekt: Henize 2-39, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.73, Ort: Tivoli Astrofarm, Zeitpunkt: [[24.05.2017|24. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24208464918/" title="Heinze 2-39"><img src="https://farm5.staticflickr.com/4505/24208464918_a3c3b7e239_c.jpg" alt="Heinze 2-39"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/38029907812/in/photostream/]]

Objekt: Henize 2-55, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[29.05.2017|29. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38550515274/" title="Henize 2-55"><img src="https://farm5.staticflickr.com/4589/38550515274_49568a274e_c.jpg" alt="Henize 2-55"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/39258377651/]]

Objekt: Henize 2-70, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[25.05.2017|25. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24941672438/" title="Henize 2-70"><img src="https://farm5.staticflickr.com/4547/24941672438_907ac90e10_c.jpg" alt="Henize 2-70"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/37927569555/in/photostream/]]

Objekt: Henize 70, Teleskop: 25" f/4 Newton, Vergrößerung: 100 fach, Filter: UHC, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[23.05.2017|23. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36362974861/in/datetaken-public/" title="Henize 70"><img src="https://farm5.staticflickr.com/4393/36362974861_25fcd16c69_c.jpg"  alt="Henize 70"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36362974741/in/datetaken-public/]]

Ich beobachte hauptsächlich mit einem ''14 Zoll Dobson'' (HS von Orion Optics UK, Ultra Grade, Hilux Verspiegelung, Durchmesser 350mm). Mittlerweile auch mit einem 21 Zoll Dobson, den ich Ende 2021 gebraucht von einem Sternfreund erwerben konnte. Gelegentlich beobachte ich auch mit noch größeren Geräten, sofern sie mir zur Verfügung stehen, wie zum Beispiel auf der Tivoli Astrofarm. Dort miete ich in der Regel einen 25 Zoll Dobson. Die letzten Jahre habe ich große Verbesserungen in meiner Beobachtungstechnik erzielt. Mittlerweile kann ich Galaxien mit einer visuellen Helligkeit von 16 mag in meinem 14 Zöller sicher erkennen.

!!Dunkler Himmel mit bester Transparenz und bestem Seeing

Meine Beobachtungphilosophie ist mit meinem 14 Zöller (oder anderen Geräten) möglichst unter perfekten Bedingungen, d.h. sehr dunklem Himmel (Bortle 1) und bestem Seeing zu beobachten, um das Maximum aus dem Gerät heraus zu holen. Häufig gelange ich dabei an die Grenzen des überhaupt möglichen. Manchmal habe ich sie auch überschritten. Als Referenz ziehe ich Beobachtungen von anderen Sternfreunden (aus dem Netz) heran, oder aber z.B. auch in der Vergangenheit aus dem [[Deep Sky Beobachteratlas|http://beobachteratlas.webs.com]]. 

!!Übersicht der Beobachtungen mit Teleskop

|!Objekt|!Datum, Gerät, Vergrößerung, Dauer der Beobachtung, Beobachtungsbeschreibung, Zeichnung|
|''NGC 4038 & 39 - Antennengalaxien''|[[22.05.2015|22. Mai 2015 Tivoli]], ''25" Dobson, 100x, 1 h, Ort: Tivoli Astrofarm, SQM-L 21.89''<br><div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{NGC 4038 & 39 - Antennengalaxien - Schweife}}</div>„NGC 4038 & 39, Antennengalaxie, 23:20 Uhr: Die Antennen sind am besten bei minimaler Vergrößerung und maximaler AP (6.25 mm) sichtbar. Dann können Sie relativ leicht indirekt verfolgt werden. Der südlich abgehende Bogen ist etwas einfacher zu erkennen und auch besser zu verfolgen, obwohl er durch recht helle Vordergrundsterne "unterbrochen" wird, die ihn überstrahlen. Beide sind eindeutig flächig. Habe sie heute zum ersten Mal so einfach gesehen. Die Bedingungen sind außergewöhnlich gut.“<br>„Ein kurzes Fazit zu den Gezeitenschweifen: Der von NGC 4656 ist am einfachsten zu erkennen, gefolgt von NGC 4038 & 39 und am schwächsten bei NGC 4038 & 39.“<br>[[23.01.2017|23. Januar 2017 - La Palma]], ''14" Dobson, 65x, 1 h, Ort: Reventon, SQM-L 21.82''<br>„Bei 65 fach, d.h. 6.5 mm AP, werden die Antennen nach geduldiger Beobachtung tatsächlich sichtbar. Mit Pausen bin ich ca. eine Stunde mit diesem Objekt beschäftigt. Können schwer, aber sicher immer wieder beobachtet werden. Im Raben 21.82 mit dem SQM-L gemessen, obwohl dieser hier auf La Palma auch nicht besonders hoch steht. "Antenne" von NGC 4039 ist etwas heller und einfacher zu verfolgen, aber tatsächlich "kürzer".”|
|''NGC 7293 - Helixnebel und Hintergrundgalaxie''|[[14.05.2015|14. Mai 2015 Tivoli]], ''25" Dobson, 180x, 1 h, Ort: Tivoli Astrofarm, SQM-L 21.76''<br>„Wunderschön bei hundertfach und OIII Filter. Der Helixnebel erscheint so wie man ihn von Fotografien her kennt. Mein Ziel ist auch die Hintergrundgalaxie. Bei 180 fach und AP von 3.5 mm wird die schwache Galaxie tatsächlich blickweise immer wieder sichtbar. Bildet mit zwei Sternen ein gleichseitiges Dreieck. Einer von beiden kann indirekt nur schwer gehalten werden. Sichere Beobachtung, da die Galaxie bei relativ gutem Seeing flächig wirkt.”|
|''Simeis 147''|[[12.01.2018|12. Januar 2018 - La Palma]], ''14" Dobson, 40x-65x, ca. 1 h, Ort: Roque de los Muchachos, SQM-L 21.7''<br><div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{Simeis 147 um HD 246646}}</div>„Bei 40 fach und übergroßer AP ist zusammen mit einem OIII-Filter ein Glimmen um ein Sternentrapez sichtbar. Vergleiche mit anderen Sternen zeigt, dass es sich um eine sichere Beobachtung handelt. Trotzdem grenzwertig, da ich mir aufgrund von Müdigkeit bei den folgenden Nachbeobachtungen immer schwerer tue. Es wird sogar ein hellerer Bogen sichtbar, der durch ein Sternfeld geht und ohne Karte schon vermutet werden kann. Wechsele auch zu 65 facher Vergrößerung, wobei die Beobachtung dann schwieriger wird. Insgesamt zeigen sich drei hellere Bereiche, wobei der Bogen am eindeutigsten ist, insbesondere, da kaum Sterne stören. Trotzdem grenzwertige Beobachtung. Überraschend schwierig.”<br>Ich verweise hier an dieser Stelle auf meinen Artikel „[[Visuelle Beobachtung von Simeis 147 mit 14 Zoll]]”. Dort sind weitere Beobachtungen beschrieben, sowohl positive als auch negative. Folgendes Fazit habe ich gezogen: „Simeis 147 ist einfach zu schwach um mit 14 Zoll großflächig beobachtet zu werden. Der hellste Teil (der Region D um HD 246646) ist zu erkennen. Der Rest mit 14 Zoll offenbar nicht. Hier sind größere Teleskope gefragt, wobei potenziell die Gesichtsfelder weiter schrumpfen, was vermutlich auch nicht so schön ist.” [[Zeichnung|Simeis 147 um HD 246646]]|
|''NGC 3242 - Äußerer Halo von Jupiters Geist''|[[31.03.2017|31. März 2017 - La Palma]], ''14" Dobson, 65x, ca. 1 h, Ort: Roque de los Muchachos, SQM-L 21.7, +10 Grad Celsius''<br>„Bei 65 facher Vergrößerung und UHC-Filter ist ad-hoc vom Halo nichts erkennbar. Leider stört der Mond noch. Nachdem der Mond untergegangen ist, beobachte ich schließlich noch mal bei 65 fach und UHC-Filter die Region. Leider ist auch nach intensiver Beobachtung nichts zu erkennen. Hin und wieder wird ein Nebel durch schwache Sterne vorgetäuscht. Was aber zu sehen ist, ist der schwache Halo um den Nebel selbst. SQM 21.63 im Zenit.”<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{NGC 3242 - Äußerer Halo}}</div><br><br>[[19.05.2017|19. Mai 2017 - Tivoli Astrofarm]], ''25" Dobson, 100x, 1 h, Ort: Tivoli Astrofarm, SQM-L 21.83, +5 Grad Celsius''<br>„Bei 100 fach und OIII-Filter wird abseits des Halos - südwestlich gelegen - zunächst ein diffuser von Nord nach Süd verlaufender Balken sichtbar. Mit UHC auch gut erkennbar. Nördlicher Teil deutlich heller, der eine diffuse, ovale Spitze bildet mit jeweils helleren äußeren Bereichen. Nach Süden hin zeigen sich hellere Kanten, die diffus auslaufen. Nichts, was man im vorbei gehen erkennt, sondern nur sicher gesehen werden kann, wenn man die genaue Position kennt. Hat man die hellsten Teile des Nebels dann gesichtet, lässt er sich recht gut beobachten. Dennoch ein schwieriges Objekt. Der PN ist bei dieser niedrigen Vergrößerung natürlich sehr hell und stört bei der Beobachtung.” [[Zeichnung|NGC 3242 - Äußerer Halo]]<br><br>[[19.01.2018|19. Januar 2018 - La Palma]], ''14" Dobson, 65x, ca. 20 min, Ort: Weinberge über Puntagorda, SQM-L 21.7, +10 Grad Celsius''<br>„Bei 65 fach und OIII-Filter wird an der richtigen Position sofort ohne wenn und aber ein diffuser, ovaler Nebel sichtbar. Uff! So einfach. Ja. Mit etwas Geduld zeigt sich dann noch der nördlich abgehende Schweif. Kurz, etwas schwächer. Bin ganz baff. Ohne Augen zu verrenken. Seeing 4.”|
|''Doppelquasar QSO 0957+561 A/B''|[[24.03.2018|24. März 2017 - La Palma]] & [[24.03.2018|24. März 2017 - La Palma]], ''14" Dobson, 290x & 430 fach, 1 h, Ort: Llanos de las Animas, SQM-L 21.7, +4 Grad Celsius''<br>„Zunächst beobachte ich bei 290 fach. An der richtigen Stelle wird ein stellares Objekt sichtbar, das indirekt gehalten werden kann. Ich gehe schließlich mit der Vergrößerung auf 430 fach hoch. Nach einer Weile werden tatsächlich zwei sehr enge stellare Objekte sichtbar. Die Orientierung der beiden Punkte deckt sich auch mit dem POSS. Beide können indirekt nicht gehalten werden, blitzen aber sicher immer wieder für drei-vier Sekunden sicher auf. Der Doppelquasar ist eindeutig an der richtigen Stelle und das hellste Objekt. Laut Atlas, soll dieses Objekt erst ab etwa 20 Zoll Öffnung zu erkennen sein. Die positive Sichtung kann mehrfach wiederholt werden, so dass ich sie als sicher einstufe. Der in der Nähe befindliche Stern KR Ursae Majoris ist lt. Sky Safari 16.25 mag hell und direkt sichtbar. Der Doppelquasar hingegen 16.5 und 16.7 mag. Das Objekt ist 6 Milliarden Lichtjahre entfernt. Erstaunlich! Das lag Seeing lag laut WHT bei 1.1+-0.5".”<br><br>__Kommentar__: Ich habe recherchiert, ob die Beobachtung überhaupt möglich ist. Lt. [[dieser Seite|http://www.otterstedt.de/wiki/index.php/Berechnung_der_visuellen_Grenzgröße_aus_der_Teleskopöffnung]] gibt es zwei Formeln zur Berechnung der visuellen Grenzgrösse. Sie liegt um 16.9 (Formel 1) und 15.51 mag für einen 16 Zöller. Bei der Formel 1 geht dabei auch die "Teleskop Transmission" ein, die bei 70% angenommen wird. Insgesamt wird aus meiner Sicht die Beobachtung damit __nicht__ in Frage gestellt. Im Gegenteil.|
|''Halo von M57''|[[21.05.2015|21. Mai 2015 Tivoli]], ''25" Dobson, 100x, 20 min, Ort: Tivoli Astrofarm, SQM-L -''<br>„Ziel ist heute der schwache Halo von M57. Er wird sichtbar am besten mit OIII-Filter und maximaler AP, d.h. ein hundertfacher Vergrößerung. UHC-Filter geht auch. Mit dem Halo wächst der Nebel fast auf die doppelte Größe an. Das Ganze ist recht einfach zu sehen.”<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{M57 - Halo}}</div><br><br>[[07.08.2018|7. August 2018 - Tivoli Astrofarm]],  ''25" Dobson, 100x, Ort: Tivoli Astrofarm, SQM-L - 21.76'': „Bei 100 fach und 6.25 mm AP sowie mit OIII-Filter wird der schwache Halo recht einfach sichtbar. Etwa so groß wie der von M57, wobei Radius etwas kleiner als der doppelte von M57 (genauer 3/4 davon geschätzt). Schmiegt sich an M57 und hat etwa dessen Form, d.h. oval und definitiv nicht rund. Keine Strukturen erkennbar. Mit UHC ebenfalls sichtbar, aber deutlich schlechter. Bei Steigerung der Vergrößerung auf 178 weiter „erahnbar“ aber nicht zweifelsfrei erkennbar. Mitbeobachter kann die Sichtung nicht bestätigen. Trotzdem aus meiner Sicht eindeutig positive Sichtung, wenn auch schwierig.“<br>[[08.08.2018|8. August 2018 - Tivoli Astrofarm]],  ''25" Dobson, 100x, Ort: Tivoli Astrofarm, SQM-L - 22.0'': „Bei 278 und UHC-Filter werden in südlicher Richtung außerhalb des Rings ein helleres, paralleles, diffuses Segement sichtbar, dass bis zum Ende des helleren äußeren Rings oder reicht. Beim nächsten Objekt habe ich für das Aufsuchen fast eine Ewigkeit gebraucht.“<br>[[09.08.2018|9. August 2018 - Tivoli Astrofarm]],  ''25" Dobson, 100x, Ort: Tivoli Astrofarm, SQM-L - 22.0'': „Nachschau aufgrund bester Transparenz. Der äußere Halo ist heute bei 100 fach und OIII leicht zu erkennen. Wie bereits beobachtet, zeigt sich ein ovaler Glow, der recht gut begrenzt ist. Bei 178 fach und auch bei 278 fach und UHC zeigen sich die die bereits beobachteten Strukturen an der südöstlichen Seite. Mit OIII sind diese nicht zu sehen. Der äußere Halo ist mit H-Beta und auch mit UHC nicht zu sehen. Mit UHC und bei 114 fach (am besten) und auch bei 278 fach sind aber einige Filamente zu erkennen. Grundsätzlich ist auf die südöstlich Seite des Halos besser begrenzt. Nordwestliche Seite läuft diffuser aus.“|
|''M87 + Jet''|<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{M87 + Jet}}</div><br><br>[[18.05.2015|18. Mai 2015 Tivoli]],  ''25" Dobson, ca. 700x, Ort: Tivoli Astrofarm'': "M87 zeigt sich bei minimaler Vergrößerung sehr hell. Bei 700 fach zeichnet sich nach geduldiger Beobachtung und gutem Seeing der Jet als kurzer Strich ab, der im rechten Winkel vom Zentrum abgeht und in den Halo ragt. Rechtwinklig dazu zeigen sich in einigem Abstand zwei lichtschwache Galaxien, die aber nur bei geringerer Vergrößerung von 460 fach sichtbar werden. Der Jet ist dann immer noch zu erkennen, allerdings schlechter."|
|''Palomar 15''|<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{Palomar 15}}</div><br><br>[[08.08.2018|8. August 2018 - Tivoli Astrofarm]],  ''25" Dobson, 100x, Ort: Tivoli Astrofarm, SQM-L - 22.0'': „Trotz 25 Zoll Öffnung zeigt sich zunächst nichts. Bei AP von 6.25 mm ist der KS nicht zu erkennen. Absolut nichts. An der falschen Position hin und wieder ist ein Glimmen zu erkennen. Bei Steigerung der Vergrößerung auf 278 fach zeigt sich, dass das Glimmen von schwachen Einzelsternen herrührt. An der richtigen Position, nördlich einer dieser verdächtigen Einzelsterne zeigt sich schließlich hin und wieder indirekt ein Glimmen und sogar einzelne Sternchen treten für kurze Momente immer wieder hervor. Nach Abgleich mit dem POSS scheinen diese Einzelsterne aber viel zu schwach zu sein. Wie dem auch sei, dass Ganze ist sehr, sehr schwer. Seeing 1.“<br>[[09.08.2018|9. August 2018 - Tivoli Astrofarm]],  ''25" Dobson, 100x, Ort: Tivoli Astrofarm, SQM-L - 22.0'': „Heute ist bei 100 fach (AP=6.25 mm) ein etwa 2' großer Glow nördlich eines sehr schwachen Sterns zu erkennen. Absolut grenzwertig, aber dennoch sichere Beobachtung. Bei 114 fach (AP=3.5mm) auch noch zu erkennen. Bei 278 fach ist der Glow verschwunden und es blitzen an der richtigen Position immer wieder Einzelsterne durch. Sind nicht zu halten. Die hellsten können bzgl. Position relativ sicher zugeordnet werden und damit auch gezeichnet. Offenbar handelt es sich lt. POSS-Chart um Sterne des KS, was aber noch verifiziert werden muss. Seeing 1-2.“|
|''NGC 604 in M33''|<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{NGC 604}}</div><br><br>[[01.01.2019|01. Januar 2019 - Muela de San Juan]], ''14" Dobson, ca. 900 fach, Ort: Muela de San Juan (Alto Tajo), SQM-L 21.82, Seeing 1'': „Bei 430 fach sind auf Anhieb sofort 3-4 stellare Aufhellungen zu erkennen. Steigerung auf 900 fach und geduldige Beobachtung zeigen dann insgesamt sechs, wobei zunächst die westliche Spitze, die ein gleichschenkliges Dreieck bildet, zu erkennen ist. Dann erscheinen parallel zu einem Schenkel zwei weitere und schließlich, sehr schwer erkennbar, zu diesen unterhalb, etwa mittig, eine weitere stellare Aufhellung. Indirekt kann die westliche Spitze bei sehr gutem Seeing indirekt leicht gehalten werden. Die Aufhellungen sind natürlich in den Nebel der HII-Region eingebettet, wobei auch hier entlang der Kanten der stellaren Knoten hellere Kanten indirekt wahrnehmbar sind. Diese werden nicht durch die Knoten vorgetäuscht, denn in Momenten, wo das Seeing schlechter wird und die Knoten verschwinden, bleibt der Eindruck vorhanden. Seeing 1.“|
|''Innere Strukturen im Eskimonebel''|[[27.03.2022|27. März 2022 - Lange Rhön]], Teleskop: 21" f/3.8 Newton, Vergrößerung: ca. 1200x, Filter:-, Bedingungen: SQM-L 21.8, Ort: [[Lange Rhön|Rhön]], Seeing 1+<div class="tc-link-info-item" style="float:left; margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{NGC 2392 - Eskimonebel - Innere Strukturen}}</div><br><br>„Mega Seeing! […] Beobachte […] schließlich mit circa 1200x. Kann auf der inneren Nebelschale  verschiedene Knoten sehr leicht erkennen. Im Innern tauchen ebenfalls blickweise zum Teil Strukturen auf. Diese können nicht gehalten werden, vermutlich wegen des Seeings, was hin und wieder nachgibt. Seeing 1+.“|

!!Übersicht der Beobachtungen mit bloßem Auge und im Feldstecher 

Beobachtungen mit bloßem Auge sind besonders herausfordernd. Dazu gehören meist auch Beobachtungen mit Feldstecher. 

|!Objekt|!Datum, Dauer, Beobachtungsbeschreibung, Zeichnung|
|''Barnard's Loop''|[[05.04.2016|5. April 2016 - Trocha del Reventon]], ''ca. 1 h, Ort: Trocha del Reventon, SQM-L 21.6''<br><div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:5px;margin-top:15px;"><div class="tc-subtitle"></div>{{Sh2-276 - Barnard's Loop}}</div>„Es werden ein OIII (Astronomik), Hß (Lumicon) und ein UHC-Filter (Astronomik) ausgepackt und dann intensiv beobachtet. Dabei werden die Filter vor die Augen gehalten und zwar immer zwei. Bei der Beobachtung mit einem zugekniffenen Auge gestaltet sich die Beobachtung schwierig. Besser ist es mit beiden Augen zu beobachten. Ich halte den UHC vor das rechte und wahlweise den Hß bzw. OIII vor das linke Auge. Beobachtendes Auge ist bei mir immer das Rechte. Nach geduldiger Beobachtung wird auf Höhe der Gürtelsterne ein diffuser Nebel sichtbar, der sich nach Norden gebogen fortsetzt und bei ca. 45° einen schmaleren, helleren und kurzen Abschnitt zeigt, um dann wieder schwächer werdend, diffus auszulaufen. Es lässt sich so fast ein 90° Kreissegment, d.h. ein Viertelkreis, als Nebelsegment erkennen. Weitere Nebelteile sind nicht sichtbar, vielleicht auch deshalb nicht, da der Orion jetzt schon recht tief steht. OIII-Filter funktioniert gar nicht gut. Dauer der Beobachtung ca. eine Stunde. Ende 05.04.2016 um 22:00 UT, 21.65 im Zenit.”<br><br>[[02.12.2016|02. Dezember 2016 - Wasserkuppe]], ''ca. 1 h, Ort: Wasserkuppe, SQM-L 21.36''<br>Barnard's Loop - Sh 2-276: Heute habe ich eine Beobachtung mit dem Feldstecher zusammen mit zwei Zoll Filtern versucht. Links war der Astronomic UHC-Filter auf die Frontlinse aufgelegt und rechts der Lumicon H-Beta Filter. Dabei kann das hellste Stück von Barnard's Loop Nordöstlich von M78 recht gut erkannt werden. Störende Sterne können ausgeschlossen werden, da sich der Nebel zwischen zwei Sternenketten befindet und im Bogensegment keine nennenswerten hellen Sterne stören. Das Segment lässt sich bis auf Höhe der Gürtelsterne weiter verfolgen, wobei dieses allerdings schwächer ist. Insgesamt zeigt sich somit ein ähnlicher Eindruck wie mit bloßem Auge. Bei der Beobachtung mit bloßem Auge ist tatsächlich die einäugige Beobachtung auffälliger mit H-Beta . Am Feldstecher konnte dieser Eindruck so nicht bestätigt werden.|
|''Kugelsternhaufen M4 & M80 & Galaxie M81''|[[6.04.2016|6. April 2016 - Weinberg über Puntagorda]], ''ca. 1 h, Ort: Weinberg über Puntagorda, SQM-L 21.65, +10 Grad Celsius''<br>„Anschließend versuche ich M81 mit bloßem Auge - wie gestern - zu erkennen. Kein Problem! Weiter geht es mit M4. Nach einigem hin und her ist auch M4 klar und eindeutig sichtbar. Versuche zunächst noch mit den Fingern Antares abzudecken. Alles Quatsch! Am besten an der Position mit indirektem Sehen das Auge "kreisen" lassen. Dann wird der Kugelsternhaufen als diffuser Fleck sichtbar. Ist deutlich größer als M81, zumindest mit bloßem Auge betrachtet. Die große Sagittariussternenwolke erscheint übrigens gelblich.<br>Versuche noch mit etwas Übermut M80. Kann aber nur hin und wieder den südöstlich befindlichen Stern HD146706 mit 7.55 mag hin und wieder aufblitzen sehen. Liegt vermutlich am Seeing, dass der nur ab und an aufblitzt, denn wenn er zu erkennen ist, dann eindeutig. An der richtigen Position taucht hin und wieder ein schwacher Schimmer auf. Die Beobachtung bleibt aber unsicher. Zurück zu M4. Bleibt verschwunden. Was ist los? Ah, falsche Stelle. Nicht zwischen Al Niyat und Antares steht er, sondern zwischen Antares und i Scorpii. Etwas unterhalb, also grob südlich der Verbindungslinie steht er und wird auch wieder sofort sichtbar.“|

Andere Beobachter führen auch solche Listen. Als Referenz sei hier die von [[Deep-Sky-Visuell.de|http://www.deepsky-visuell.de/Projekte/DS_Herausforderungen.htm]] genannt.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43321520620/in/dateposted-public/"><img src="https://farm2.staticflickr.com/1942/43321520620_75997ffc77_k.jpg"></a>

2018 war ein Rekordsommer. Warm und mit wenigen Niederschlägen. Auf der Wasserkuppe ist es ebenfalls „furztrocken“. Das Gras ist gelb und trocken. Hier kann man ohne Probleme auf dem Boden schlafen. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/45088274762/in/dateposted-public/"><img src="https://farm2.staticflickr.com/1972/45088274762_b4083d5263_k.jpg"></a>

Vom guten Wetter dieses Jahr habe ich bisher recht wenig profitiert, denn ab Mitte Mai bis Mitte August sind die Nächte einfach zu kurz. Im August war ich dann auch in Namibia. Erst ab September und jetzt vor allem im Oktober kann ich wieder richtig unter heimischen Himmel beobachten. Normalerweise ist der Oktober wettertechnisch ein Wackelkandidat. Aber dieses Jahr ist alles anders.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/45871547222/in/dateposted-public/" title="Blick von der Wasserkuppe Richtung Westen in einer Mondnacht"><img src="https://farm5.staticflickr.com/4805/45871547222_d9ae38980c_k.jpg" alt="Blick von der Wasserkuppe Richtung Westen in einer Mondnacht"></a>

Aufnahme vom 15. November 2018 um 20 Uhr. Rechts im Bild die Stadt Fulda, die unter Nebel liegt. Knapp neben der Mitte ist sogar die Sommermilchstraße zu erkennen.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 11.-12.09.|11. September 2018 - Wasserkuppe]]|''14" Dobson, 5 h, Ort: Wasserkuppe, SQM-L 21.55, +8 Grad Celsius, 3 Objekte''<br>Minkowski 1-71, __[[PK 80-60.1 - Egg-Nebel]]__, __[[NGC 7026 - Cheeseburger Nebel]]__, |
|[[2. Nacht / 05.-06.10.|05. Oktober 2018 - Wasserkuppe]]|''14" Dobson, 6.5 h, Ort: Wasserkuppe , SQM-L 21.48, +10 Grad Celsius, 4 Objekte''<br>__[[NGC 6891]]__, NGC 6210, __[[He 2-438]]__, __[[IC 5217]]__, Hubble 12|
|[[3. Nacht / 13.-14.10.|13. Oktober 2018 - Wasserkuppe]]|''14" Dobson, 9 h, Ort: Wasserkuppe , SQM-L 21.51, +10 Grad Celsius, 11 Objekte''<br>Minkowski 1-71, __[[NGC 6745]]__, __[[NGC 6742]]__, M31, Hellster Einzelstern in NGC 206 bzw. M31, M42, Flammennebel, //Simeis 147//, __[[IC 2003]]__, __[[IC 351]]__|
|[[4. Nacht / 05.-06.11.|05. November 2018 - Wasserkuppe]]|''14" Dobson, 7 h, Ort: Wasserkuppe , SQM-L 21.48, +5 Grad Celsius, 8 Objekte''<br>__[[Kohoutek 3-73]]__, __[[Kohoutek 3-82]]__, __[[NGC 1931]]__, Gegenschein, M38, M36, M46 & M47, südliche Wintermilchstraße, die Plejaden & Hyaden im Feldstecher, M42, Flammennebel, Plejaden|
|[[5. Nacht / 15.-16.11.|15. November 2018 - Wasserkuppe]]|''14" Dobson, 5 h, Ort: Wasserkuppe , SQM-L 21.48, +1 Grad Celsius, 6 Objekte''<br>__[[NGC 7662 - Blauer Schneeball]]__, __[[NGC 7640]]__, __[[NGC 1535 - Kleopatras Auge]]__, Rosettennebel, Hi & Chi Persei|
|[[6. Nacht / 16.-17.11.|16. November 2018 - Wasserkuppe]]|''14" Dobson, 4 h, Ort: Wasserkuppe , SQM-L 21.56, -1 Grad Celsius, 2 Objekte''<br>__[[Sh2-254 - Die drei Schneebälle|Sh2-254/5/6/7 - Die drei Schneebälle]]__, M42, __[[NGC 2282]]__|
|!4 Nächte|!Gesamtbeobachtungszeit 28 h,  13 Objekte gezeichnet|

Die erste und die letzte Nacht waren mit SQM-L Werten um 21.55 außergewöhnlich klar und dunkel. Normalerweise hat man zu Beginn der Nacht Werte von 21.2 und am Ende 21.4. Meine Aufzeichnungen zeigen, dass dies eigentlich nur im Frühjahr möglich ist.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43324925950/in/dateposted-public/"><img src="https://farm2.staticflickr.com/1918/43324925950_8f18e8280f_k.jpg"></a>

Für einen Herbst gab es ungewöhnlich viele klare und vor allem transparente Nächte. Einfach traumhaft! Vor allem im November, der eigentlich für Astronomie fürchterlich ist. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/45008761945/in/dateposted-public/" title="Blick von der Wasserkuppe im November Richtung Westen"><img src="https://farm5.staticflickr.com/4874/45008761945_71cbe43702_k.jpg" alt="Blick von der Wasserkuppe im November Richtung Westen"></a>

![[Index - Hickson Galaxiengruppen|Hickson Galaxiengruppen]]

Abkürzung für [[Hickson Compact Group|http://de.wikipedia.org/wiki/Hickson_Compact_Group]]. 

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|!HCG|!Datum, Öffnung, Beobachtungsbedingungen, -platz, Beschreibung|
|''4''|05.10.2014, 14", 114x & 180x, Bortle 1-2, 21.5-21.6 Z, La Palma RDLM<br>Eingerahmt von zwei Feldsternen zeigt sich eine kleine runde Galaxie mit Helligkeitszunahme zum Zentrum hin. Blickweise erscheint eine weitere. Beobachtung unsicher. Zweite daher gewertet als nicht gesehen.|
|''8''|[[14.10.2017|14. Oktober 2017 - Wasserkuppe]], 14", 290x, Bortle 3-4, 21.2 Z, Wasserkuppe<br>Am besten bei 290 fach. Dann werden insgesamt vier Galaxien sichtbar. Zunächst zeigt sich eine ovale Galaxie mit hellerem fast sternartigem Zentrum. Westlich zeigt sich eine Kette bestehend aus drei sehr schwachen, kleinen Galaxien. Zwei recht nah beieinander, dritte etwas abseits. Zeigen auf einen schwachen Stern. Die drei schwachen Galaxien sind indirekt kaum zu halten. Erst bei vollständiger Dunkeladaption am Okular können Sie ihn direkt immer wieder aufblitzend dann doch recht gut beobachtet werden.  [[Zeichnung|HCG 8]]|
|''10''|[[19.01.2018|19.01.2018 - Wasserkuppe]], 14", 290x, Bortle 1, 21.7 Z, Weinberge über Puntagorda<br>Vier NGC Galaxien bilden diese schöne Gruppe. NGC 529 scheint mir die hellste. Sternartiges Zentrum und mit deutlicher Helligkeitszunahme zum Zentrum hin und diffus auslaufend. Form rund bis leicht oval. Steht etwas abseits während die anderen drei sehr kompakt stehen, und zwar um NGC 536, die nur wenig schwächer ist als 529 und auch eine Helligkeitszunahme zum Zentrum hin aufweist, die aber nicht so stark ist wie bei 529. Nahe dem Zentrum zwei schwache Vordergrundsterne. Form der Galaxie spindelförmig. Die nächste und schwächste ist NGC 542. Ist zigarrenförmig und gerade so bei 290 fach noch auszumachen. Keine Helligkeitszunahme zum Zentrum hin. Das gleiche bei NGC 531, die etwas heller und größer ist. Schätze doppelt so groß bzw. lang wie NGC 542. Vergrößerung 290 fach wo alle Galaxien noch in einem Gesichtsfeld liegen. Seeing 4, zeitweise aber 2.  [[Zeichnung|HCG 10]]|
|''16''|04.10.2016, 14", 114 - 290x, Bortle 3, 21.2, Stumpertenrod<br>Schöne und recht helle Galaxiengruppe. NGC 379 ist spindelförmig. NGC 380 rund bis leicht oval. NGC 383 ebenfalls rund und 382 länglich. Kern von 383 ist heller als 382 selbst und etwa doppelt so groß. NGC 386 ist rund und recht klein. 385 & 386 ebenso, aber einen Ticken heller. Beide etwa gleich hell. NGC 388 mit sternartigem Zentrum. Sehr schwach. Alle anderen Galaxien haben Helligkeitszunahme zum Zentrum hin, aber keine sternartigen Zentren. 375 rund und diffus. 373 ganz ähnlich.[[Zeichnung|NGC 383 - Gruppe]]|
|''26''|[[26.01.2017|26. Januar 2017 - La Palma]], 14", 290x, Bortle 1, 21.85 Z, La Palma Reventón<br>Bei 290 fach wird überraschend einfach eine lang gezogen Galaxie sichtbar, direkt neben einem schwachen Stern. Die Galaxie könnte auch als eine "Superthin" durchgehen. Merkliche Helligkeitszunahme zum Zentrum hin. Kann indirekt knapp nicht gehalten werden. An ihrem nordöstlichen Ende ist ein heller Knoten sichtbar. Abseits in einigem Abstand ist ebenfalls indirekt schwach eine linsenförmige Galaxie erkennbar. Bei längerer geduldiger Beobachtung entpuppt sich der Stern als "Doppelstern". Die schwächere Komponente ist indirekt Blickweise immer wieder zu sehen. Fast auf der Verbindungslinie der beiden schließt sich ein weiterer schwacher Stern an. Zusammen bilden Sie mit dem hellen Knoten ein fast gleichschenkliges Dreieck. Bei längerer Beobachtung des Knotens wird abseits sehr schwer und nur wenige Male ein weiterer schwacher abgesetzter Knoten sichtbar. Letzteres ist aber unsicher. [[Zeichnung|HCG 26]]|
|''30''|29.12.2016, 14", 65 - 290x, Bortle 2, 21.82, PDA<br>Zwei offenbar interagierende Galaxien (NGC 1741A und B). Es zeigen sich zwei Galaxien, die sich zu "berühren" scheinen. Die eine hell und länglich, die zweite etwas schmaler und dunkler, die schwächer werdend offenbar einen Bogen macht und dort einen hellen Knoten zeigt. Ein Gezeitenschweif? Nordöstlich weitere zigarrenförmige Galaxie. Darüber hinaus ist etwas abseits IC 399 als kleine runde Galaxie zu sehen. [[Zeichnung|HCG 30]]|
|''31''|29.12.2016, 14", 65 - 168x, Bortle 2, 21.82, PDA<br>Bei 65 facher Vergrößerung wird die Komponente A bereits direkt neben einem helleren Stern sichtbar. Bei 168 fach ist dann auch B einfach zu sehen, dann die beiden weiteren Komponenten C und D. A und B sind länglich und hell. C und D hingegen klein und rund mit Helligkeitszunahme zum Zentrum hin. Keine der Komponenten zeigt ein sternartiges Zentrum. [[Zeichnung|HCG 31]]|
|''44''|[[28.03.2017|28. März 2017 - La Palma]], 14", 168 - 290x, Bortle 2, 21.9, RDLM<br>Es handelt sich um eine spindelförmige langgezogene Galaxie mit hellen, länglichen Zentrum. Parallel zum Galaxienkörper zeigt sich bei 420 facher Vergrößerung ein zartes Staubband mit Helligkeitszunahme in westlicher Richtung nicht direkt gegenüber den Zentrum liegend. NGC 3185 zeigt sich mit sternartigem Zentrum und leicht oval. Weist eine Helligkeitszunahme zum Zentrum hin auf und läuft diffus aus. NGC 3187 ist zigarrenförmig ohne Helligkeitszunahme zum Zentrum hin. NGC 3193 ist eine kleine, runde Galaxie mit deutlicher Helligkeitszunahme zum Zentrum hin, jedoch ohne sternartigem Zentrum. Sie ist die zweithellste Galaxie dieses Quartetts. Beobachtung bei 420 fach. Wird die Vergrößerung auf 168 fach reduziert, so erscheinen alle Galaxien als helle Objekte in einem Gesichtsfeld. Alle Galaxien außer NGC 3187 haben dann helle sternartige Zentren. Es lohnt sich trotzdem hier hoch zu vergrößern. Insbesondere wenn man das Staubband von NGC 3190 sichten möchte. [[Zeichnung|HCG 44]]|
|''50''|05.01.2014, 14", 114x, Bortle 1-2, 21.53-21.7 Z, PDA<br>Nichts zu sehen.|
|''51''|[[24.01.2017|24. Januar 2017 - La Palma]], 14", 114x, Bortle 1, 21.96 Z, La Palma RDLM<br>Überraschend lichtschwach. Trotzdem kann man auf 290 fach vergrößern. Dann zeigt sich die hellste Galaxie länglich mit fast sternförmigen Zentrum. An einem Ende zeigt sich eine weitere kleine Galaxie, die in diese hineinragt. Weitere kleinere, ovale, recht helle Galaxie abseits. Beide bilden mit einer weiteren schwachen Galaxie ein kleines Dreieck. Etwas abseits zeigen sich zwei weitere schwache Galaxien.|
|''53''|[[31.03.2017|31. März 2017 - La Palma]], 14", 290x, SQM-L 21.63 Z,  Roque de los Muchachos<br>PGC 35381 ist allenfalls erahnbar. Kann aber indirekt immer wieder neben einem Stern indirekt aufblitzend als länglicher, kleiner Nebel gesehen werden. NGC 3697B ist deutlich heller, aber die zweite schwächste Galaxie im Bunde. Es folgt die ebenfalls runde Galaxie 3697 C. Am hellsten ist NGC 3697, die spindelförmig mit sternartigem Zentrum ist. [[Zeichnung|HCG 53]]|
|''54''|[[31.03.2017|31. März 2017 - La Palma]], 14", 420x, SQM-L 21.63 Z,  Roque de los Muchachos<br>Steht ganz in der Nähe. Es wird zunächst eine spindelförmige Galaxie mit hellerem sternartigen Zentrum sichtbar. Bei Steigerung der Vergrößerung auf 420 fach kann hin und wieder südwestlichlich des Zentrums ein weiterer hellerer runder sternartiger Knoten erkannt werden. Weitere Komponenten nicht sichtbar. [[Zeichnung|HCG 54]]|
|''55''|25.08.2014 23:05 MESZ, 14", 168x, 300x, Bortle 2, 21.5,  PDA<br>Von Nord nach Süd verlaufende Galaxienkette. Bei 168 fach treten immer wieder drei Galaxien bei geduldiger indirekter Beobachtung hervor. Können nicht ständig gehalten werden. Bei 300 fach deutlich separiert.<br><br>[[25.12.2016|25. Dezember 2016 - Pinar de Araceli]], 14", 290x, Bortle 2, 21.86, PDA<br>Steht nahezu optimal. Bei excellentem Seeing und gemittelten SQM-L Werten von 21.86 im Zenit werden tatsächlich fünf kleine, runde Galaxien sichtbar, die ein geschwungenes "S" bilden. In der Mitte stehende Galaxie kann eindeutig als hellste ausgemacht werden. Anderen etwa gleich hell. Indirekt ist die Kette nicht zu halten. Kommt aber immer wieder, zuverlässig zum Vorschein. Absolutes Highlight! [[Zeichnung|HCG 55]]|
|''56''|[[28.03.2017|28. März 2017 - La Palma]], 14", 290x, SQM-L 21.96 Z,  Roque de los Muchachos<br>Bei 114 fach kaum zu erkennen. Bei Steigerung der Vergrößerung auf 290 Fach wird zunächst UGC6527 beziehungsweise die B Komponente relativ einfach sichtbar. Sternförmiges Zentrum und langgezogener spindelförmiger, leicht gebogener Galaxienkörper hin zu Komponente C, die winzig ist mit sternförmigem Zentrum. Dahinter fast auf einer Linie folgt die Komponente, die etwas schwächer und ebenfalls sehr klein ist. In direkter Nähe, auf einer Linie dann D, die etwas schwächer ist. Etwas abseits dieser Dreierkette folgt dann schließlich E (PGC 35609). Die Kette erinnert mich irgendwie an HCG 55. Wobei diese hier ist deutlich einfacher zu sehen. Die Komponente A (PC 35631) ist am schwierigsten zu erkennen. Sie zeigt sich als Spindel mit leicht hellerem, runden Zentrum. Letzteres ist aber unsicher, da nur hin und wieder erahnt. [[Zeichnung|HCG 56]]|
|''57''|[[25.03.2017|25. März 2017 - La Palma]], 14", 290x, SQM-L 21.92 Z,  Llanos de las Animas<br>Alle Komponenten bis auf H können bei 290 fach indirekt gesehen und gehalten werden. H ist etwas schwieriger und blitzt längere Zeit immer wieder auf. A, D & C haben sternartige Zentren. A eindeutig als langgestreckte Galaxie in Kantenlage erkennbar. B klein und fast stellar. B mit Balken im Zentrum und senkrecht dazu gerichteten schwachen Galaxienkörper. F diffus mit leichter Helligkeitzunahme zum Zentrum hin. [[Zeichnung|HCG 57 - Copeland's Septett]]|
|''61''|12.05.2014, 14", 114x, Bortle 1-2, 21.53-21.7 Z,  Bonilla<br>"The Box": Zunächst recht schwierig zu sehen. Dann aber indirekt leicht auszumachen. 4 Gx sichtbar, die ein Rechteck bilden.<br><br>18.04.2015, 14", 114x, Bortle 2-3, 21.5, Rhön, [[Zeichnung|HCG 61]]|
|''62''|[[22.01.2017|22. Januar 2017 - La Palma]], 14", 114x, Bortle 1-2, 21.86 Z,  La Palma Reventón<br>Heute noch mal bei besserem Seeing beobachtet. Bei 290 fach wird überraschend einfach eine lang gezogen Galaxie sichtbar, direkt neben einem schwachen Stern. Die Galaxie könnte auch als eine "Superthin" durchgehen. Merkliche Helligkeitszunahme zum Zentrum hin. Kann indirekt knapp nicht gehalten werden. An ihrem nordöstlichen Ende ist ein heller Knoten sichtbar. Abseits in einigem Abstand ist ebenfalls indirekt schwach eine linsenförmige Galaxie erkennbar. Bei längerer geduldiger Beobachtung entpuppt sich der Stern als "Doppelstern". Die schwächere Komponente ist indirekt Blickweise immer wieder zu sehen. Fast auf der Verbindungslinie der beiden schließt sich ein weiterer schwacher Stern an. Zusammen bilden Sie mit dem hellen Knoten ein fast gleichschenkliges Dreieck. Bei längerer Beobachtung des Knotens wird abseits sehr schwer und nur wenige Male ein weiterer schwacher abgesetzter Knoten sichtbar. Letzteres ist aber unsicher.|
|''68''|20.05.2014 01:38:48, 14", 114x, Bortle 3, 21.45-21.1 Z (Mondaufgang), Stumpertenrod<br>NGC 5350 ist das größte Mitglied der Gruppe. Oval diffus mit Helligkeitszunahme zum Zentrum hin. Größte Gx von insgesamt vier. Zwei davon sehr nah beieinander. Beide bilden mit den übrigen beiden ein gleichseitiges Dreieck. Die beiden sehen sich sehr ähnlich: Beide sind oval mit Helligkeitszunahme zum Zentrum hin. Weitere diffuse Gx ist etwas kleiner und schwächer mit nur leichter Helligkeitszunahme zum Zentrum. Am Ende der Beobachtung zeigt das ~SQM-L nur noch 21.1 im Zenit an. Der Mond drückt bzw. ist bereits aufgegangen. Trotzdem sind alle Komponenten noch gut zu sehen.|
|''70''|[[27.03.2017|27. März 2017 - La Palma]], 14", 290x, Bortle 1, SQM-L 21.9, Roque de los Muchachos<br>Bei 65 facher Vergrößerung kaum zu erkennen. Bester Anblick bei 290 fach. Dann werden zunächst IC 4371 und UGC 8990 sichtbar. Beide zeigen eine starke Helligkeitszunahme zum Zentrum hin, fast schon stellar. UGC 8990 zeigt sich zudem in Kantenlage als kurze Spindel. PGC 50159 ist zigarrenförmig mit unscheinbarem Zentrum. Bei 290 fach nur schwer zu erkennen. Besser hingegen bei 114 fach. Neben UGC 8990 zeigt sich IC 4370 als kleines rundes Anhängsel. Gut erkennbar ist auch IC 4369. Die kleine, runde Galaxie bildet ein schönes gleichseitiges Dreieck mit IC 4370 und UGC 8990. Es taucht weiterhin in der Verlängerung von IC 4371 und IC 4369 PGC 50123 auf. Dazwischen wird schwach PGC 50133 schwach als runde, unscheinbare Galaxie sichtbar. [[Zeichnung|HCG 70]]|
|''79''|[[04.06.2019|04. Juni 2019 - Tivoli Astrofarm]], 25", 454x, Bortle 1, SQM-L 21.9, Tivoli Astrofarm<br>Bei 100 fach schon als Knäuel von 3-4 Galaxien erkennbar. Kann bis auf 670 fach vergrößert werden (AP 0.9mm). Optimal sind jedoch 454 fach (AP 1.3mm). Dann werden drei helle Galaxien, die zu einem rechtwinkligen Dreieck angeordnet sind sehr leicht sichtbar. Dabei handelt es sich um die Komponenten a bis c. b ist zigarrenförmig mit hellem, ovalen Zentrum. a und c linsenförmig. b  ist am hellsten. Dann a und schließlich c. Alle drei sind auffällig. Indirekt erscheint noch eine strichförmige Galaxie ohne helleres Zentrum, die mit der b Komponente durch einen schwachen Nebelschweif, offenbar der Gezeitenschweif, verbunden ist. Dieser ist indirekt leicht sichtbar. Weiterhin erscheint Komponente e als kleine linsenförmige Galaxie mit kaum hellerem Zentrum. Unterhalb von b ist die d Komponente als feine Nadel mit hellerem langgezogenem Zentrum sichtbar. Hintergrund der Gruppe erscheint neblig. Wunderbarer Anblick! [[Zeichnung|HCG 79 - Seyfert's Sextett]]|
|''93''|27.09.2014 22:25 Uhr, 14", 114x, Bortle 3-4, 21.2 Z , Rhön bei Fladungen<br>Drei relativ gut sichtbare Gx, die ein rechtwinkliges Dreieck bilden, sind gut zu erkennen. Das Dreieck steht mit der Spitze etwa nördlich, so dass beim Anblick im Newton kurz nach dem Meridiandurchgang, dass Dreieck auf dem Kopf steht. Alle drei Gx sind diffus auslaufend mit Helligkeitszunahme zum Zentrum hin. NGC 5770 ist die hellste. NGC 5749 ist die zweithellste und zeigt sich länglich. Bei geduldiger Beobachtung tauchen zwei schwache weitere Gx auf.|
|''99''|06.10.2014, 14", 114x & 180x, Bortle 1, 21.6-21.7 Z, La Palma RDLM<br>Schwierig! Eine Komponente recht leicht zu sehen. Hat sternartiges Zentrum. Zunächst etwas unsicher, ob richtig eingestellt. Dann fällt eine runde Galaxie mit sternartigen Zentrum bei 114 fach auf. Die andere wird dann mit 180 fach neben einem Stern als längliche spindelförmige Galaxie sichtbar. Neben der runden Galaxie ist direkt daneben eine weitere runde Galaxie zu sehen. Insgesamt also drei Galaxien. Schwer!|

Glossar:<br>
PDA - Pinar de Araceli (1700 üNN)<br>
RDLM - Roque de los Muchachos (2300m üNN) <br>
La Podona - (1000m üNN)<br>
Z - Zenit

Hier werden verschiedene Beobachtungsorte hinsichtlich der Himmelsqualität verglichen. Dazu mache ich Aufnahmen mit einer Sony RX 100 III Kompaktkamera mit 24mm Objektivbrennweite und f/1.8 Offenblende, die anschließend in Microsoft ICE zu einem All Sky Panorama zusammengefügt werden.
Dabei werden bis zu 120 Einzelaufnahmen a 15 sec bei 6400 ASA gemacht. Die Belichtungszeit und die Empfindlichkeit sind dabei so gewählt, dass der natürliche Eindruck bei vollständiger Dunkeladaption während einer Beobachtungsnacht wiedergegeben wird. Dies ist u.a. der Fall, wenn Strukturen des Bodens erkennbar sind, wie sie aufgrund der unterschiedlichen Albedo durch Pflanzen, Schnee ect. häufig gegeben sind. 

Ein wesentliches Fazit ist, dass die Umgebung praktisch komplett visuell zugänglich ist, so dass eine Orientierung und Bewegung ohne Probleme möglich ist. Dies ist sogar an den dunkelsten Orten problemlos möglich.

Bisher habe ich Aufnahmen von [[Bonilla|Bonilla - Mirador de las Estrellas]] (Bortle 3), [[Pinar de Araceli (PDA)]] (Bortle 2), [[Tivoli Astrofarm]] (Bortle 1) und der [[Rhön]] (Bortle 3-4).

Bonilla ist ein Beispiel für einen typischen Landhimmel in Spanien. Der Pinar de Araceli ist einer der besten Beobachtungsorte auf dem europäischen Festland auf Augenhöhe mit La Palma und mit stets bestem Seeing. Er fällt hinter Namibia nur knapp zurück. Nur bei perfekter Transparenz in Namibia ist ein relevanter Unterschied erkennbar. Dann sind SQM-L Werte um 21.9 möglich, wohingegen bei 21.7 im Pinar de Araceli bzw. La Palma Schluss ist. Im Mittel sind aber alle mit 21.6 in Zenitnähe nahezu gleichauf, was sich auch mit dem visuellen Eindruck deckt.

Bei allen Fotos ist Norden oben.

{{All Sky Panoramen}}

__Bemerkung:__ Offenbar führt Microsoft ICE bei hellen Lichtern entgegen meiner Annahme eine Tonwertkorrektur durch. Dies ist bei der Tivoli Aufnahme mit dem Milchstraßezentrum im Zenit offenbar der Fall, da diese Aufnahme deutlich dunkler ausfällt, als die (unvollständige) von 2015.

Update 2018: Nix Tonwertkorrektur! Nach meinem Tivoli Aufenthalt 2018 und dem aufgenommen Pano ist der Namibia Himmel eindeutig von allen bisher von mir besuchten Plätzen der dunkelste. Die Aufnahmen zeigen realistisch die Lichtverschmutzung, da alle mit gleichen Kameraeinstellungen aufgenommen worden sind. Das Tivoli Pano 2018 ging mit SQM-L Werten um 22.0 einher.

!!Höhenlage

Die besten Beobachtungsplätze eint, dass sich sich alle im Gebirge über 1500m üNN befinden. Plätze bis 1000m üNN kämpfen häufig mit schlechterer Transparenz. Sie nimmt erfahrungsgemäß bis 1300m üNN deutlich zu. Ab 1700m üNN wird sie häufig bestens, da man sich hier meistens über der Inversionsschicht befindet. Um auf der sicheren Seite zu sein sollten es über 2000m üNN sein, wo man dann vom Hochgebirge spricht. Praktisch alle wichtigen optischen Großteleskope befinden sich über 2000m üNN, z.B. Roque de los Muchachos - La Palma, Paranal - Chile, ect. 

Objekt: Hoffleit 38, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[28.05.2019|28. Mai 2019 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/Ze96rh" title="Hoffleit 38"><img src="https://live.staticflickr.com/65535/48557719432_ee8d1c45e0_c.jpg" alt="Hoffleit 38"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48557719427/in/photostream/]]

Objekt: Hoffleit 4, Teleskop: 25" f/4 Newton, 
Vergrößerung: 454 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[29.05., 3. & 4.06.2019|03. Juni 2019 - Tivoli Astrofarm]], Seeing 2-3

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/y1KqU0" title="Hoffleit 4"><img src="https://live.staticflickr.com/65535/48760225661_3d30c45be3_c.jpg" alt="Hoffleit 4"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48760414997/in/photostream/]]

Objekt: Holmberg II, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x & __168x__, Filter: -, Bedingungen: SQM-L 21.3, Ort: Wasserkuppe, Zeitpunkt: [[13.02.2021|13. Februar 2021 - Wasserkuppe]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Aa5Fu4" title="Holmberg II"><img src="https://live.staticflickr.com/65535/50953866526_96a4cdd991_c.jpg" alt="Holmberg II"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50953866521/in/datetaken/]]

Objekt: Hubble 4, Teleskop: 14" f/4.6 Newton, Vergrößerung: 1700 fach, Filter: OIII, Bedingungen: SQM-L 21.7, Ort: Pinar de Araceli, Zeitpunkt: [[19.07.2017|19. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/35860095224/in/datetaken-public/" title="Hubble 4"><img src="https://farm5.staticflickr.com/4354/35860095224_55ea3d6b13_c.jpg" alt="Hubble 4"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36557008121/in/datetaken-public/]]

Objekt: Humanson 1-1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800-1700 fach, Filter:-, Bedingungen: SQM-L 21.83, Ort: Pinar de Araceli, Zeitpunkt: [[21.07.2017|21. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36696058525/in/datetaken-public/" title="Humanson 1-1"><img src="https://farm5.staticflickr.com/4424/36696058525_309be6917c_c.jpg" alt="Humanson 1-1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35861134924/in/datetaken-public/]]

Objekt: Humanson 1-2, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800-1700 fach, Filter:-, Bedingungen: SQM-L 21.83, Ort: Pinar de Araceli, Zeitpunkt: [[21.07.2017|21. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36697210851/in/datetaken-public/" title="Humanson 1-2"><img src="https://farm5.staticflickr.com/4386/36697210851_99a7bee7e2_c.jpg" alt="Humanson 1-2"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36002805994/in/datetaken-public/]]

Objekt: Humanson 2-1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 1700 fach, Filter:-, Bedingungen: SQM-L 21.84, Ort: Pinar de Araceli, Zeitpunkt: [[24.07.2017|24. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36518238042/in/datetaken-public/" title="Humanson 2-1"><img src="https://farm5.staticflickr.com/4373/36518238042_ee06be2698_c.jpg" alt="Humanson 2-1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36549480521/in/datetaken-public/]]

Objekt: IC 10, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290 fach, Filter: -, Bedingungen: Bortle 3, Ort: Wasserkuppe, Zeitpunkt: 13.10.2015

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/21652051874/in/datetaken/" title="IC10_2_"><img src="https://farm1.staticflickr.com/605/21652051874_13d02008b2_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Dartsellung|https://www.flickr.com/photos/106029581@N02/21653751373/in/datetaken/]]

<!--Vergrößerung 65 fach, 100°:

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/22248028836/in/datetaken/" title="IC10_3"><img src="https://farm6.staticflickr.com/5764/22248028836_56981e7c11_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/22261899702/in/datetaken/]] -->

Objekt: IC 1291, Teleskop: 21" f/3.8, Vergrößerung: 380x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[14.09.2023|14. September 2023 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/C5g1HR010j" title="IC 1291"><img src="https://live.staticflickr.com/65535/53537366214_48d9b65ea4_h.jpg" alt="IC 1291"/></a>

Objekt: IC 1295, Teleskop: 21" f/3.8, Vergrößerung: 378x, Filter: [OIII], Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[8. & 9.09.2023|8. September 2023 - Lange Rhön]], Seeing 2-3, SQM-L

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/j0a6W56j5u" title="IC 1295"><img src="https://live.staticflickr.com/65535/53219915156_a38451ccbb_h.jpg" alt="IC 1295"/></a>

Objekt: IC 1295, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[09.07.2018|9. Juli 2018 - Pinar de Araceli]], Norden ist unten!

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28767696477/" title="IC 1295"><img src="https://farm1.staticflickr.com/850/28767696477_c48c2f3fe5_c.jpg" alt="IC 1295"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41847800240/in/photostream/]]

Objekt: IC 1365, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290 fach, Filter:-, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[14.10.2017|14. Oktober 2017 - Wasserkuppe]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/37593519610/in/datetaken-public/" title="IC 1365"><img src="https://farm5.staticflickr.com/4471/37593519610_b9efe5121c_c.jpg" alt="IC 1365"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/37851233381/in/datetaken-public/]]

Objekt: IC 1396, Kamera: astromodifizierte Sony A6000 (APS-C) bei 1600 ASA, Objektiv: Samyang 85mm f1.8 @f2, Filter:-, Belichtungszeit: 42x60 sec, Bedingungen: SQM-L 21.6, Ort: [[Rhön]], Zeitpunkt: [[04.09.2021|4. September 2021 - Lange Rhön]],  MSM-Rotator, Stacking in Sequator, bearbeitet mit Starnet++ & LR iOS.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Hg31P4" title="IC 1396"><img src="https://live.staticflickr.com/65535/51740884207_dc3d74f060_k.jpg" alt="IC 1396"></a>

Objekt: IC 1470, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 600x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Athos Star Campus]], Zeitpunkt: [[19.09.2020|19. September 2020 - La Palma]], Seeing 3-4

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/a0W928" title="IC 1470"><img src="https://live.staticflickr.com/65535/50563046626_f75462e90c_c.jpg" alt="IC 1470"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50562794622/in/photostream/]]

Objekt: IC 1613, Teleskop: 20" f/3.8 Newton, Vergrößerung: 100x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[08.12.2023|8. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Cd3756L30W" title="IC 1613"><img src="https://live.staticflickr.com/65535/53522533779_14b000a34d_h.jpg" alt="IC 1613"/></a>

Objekt: IC 1613, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.8, Ort: RDLM, Zeitpunkt: 07.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/25104660276/in/datetaken/" title="IC 1613"><img src="https://farm2.staticflickr.com/1636/25104660276_1dc0fed7c6_o.jpg" alt="IC 1613"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24504161583/in/datetaken/]]

Objekt: IC 1747, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800x, Filter:-, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[28.01.2017|28. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24099308787/" title="IC 1747"><img src="https://farm5.staticflickr.com/4569/24099308787_f712fe1d81_c.jpg" alt="IC 1747"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/38247949384/in/photostream/]]

Objekt: IC 2003, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.51, Ort: Wasserkuppe, Zeitpunkt: [[13.10.2018|13. Oktober 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31624174648/in/dateposted-public/" title="IC 2003"><img src="https://farm2.staticflickr.com/1902/31624174648_bbfc904b62_c.jpg" alt="IC 2003"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31624174688/in/dateposted-public/]]

Objekt: IC 2087, Teleskop: 21" f/3.8, Vergrößerung: 231x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[9.01.2024|9. Januar 2024 - Lange Rhön]], Seeing 4-5

< <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/hkQVu14sc7" title="NGC 2087"><img src="https://live.staticflickr.com/65535/53550664654_fbe58d9013_h.jpg" alt="NGC 2087"/></a>

Objekt: IC 2149, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: ca. 800x, Filter:-, Bedingungen: SQM-L 21.8, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[31.12.2019|31. Dezember 2019 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/085U7Z" title="IC 2149"><img src="https://live.staticflickr.com/65535/51773821375_56f01f0bb1_c.jpg" alt="IC 2149"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51773821380/in/datetaken/]]

Objekt: IC 2165, Teleskop: 14" f/4.6 Newton, Vergrößerung: 1000x, Filter: OIII, Bedingungen: SQM-L 21.82, Ort: Nablanca, Zeitpunkt: [[26.12.2016|26. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32068868751/in/datetaken/" title="Untitled"><img src="https://c8.staticflickr.com/1/745/32068868751_1d29fb0e6c_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32186809475/in/datetaken/]]

Objekt: IC 2177, Teleskop: 14" Newton f4.6, Vergrößerung: 114 & 168x, Filter: H-Beta, Bedingungen: SQM-L 21.7, Ort: Trocha del Reventon, Zeitpunkt: 05.04.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/27484704615/in/datetaken/" title="IC 2177"><img src="https://c8.staticflickr.com/8/7187/27484704615_8d5456bde9_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26847840183/in/datetaken/]]

Objekt: IC 2184, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[06.04.2019|06. April 2019 - La Palma]], Seeing 1

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/795215" title="Untitled"><img src="https://live.staticflickr.com/65535/46763438255_d49642d5f8_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33801957718/in/dateposted/]]

Objekt: IC 2220 - Butterfly Nebel, Teleskop: 25" f/4 Newton, Vergrößerung: 280x, Filter:-, Bedingungen: SQM-L 21.86, Ort: Tivoli Astrofarm, Zeitpunkt: [[20.05.2017|20. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34522490654/in/datetaken-public/" title="IC 2220 - Butterfly Nebel"><img src="https://c1.staticflickr.com/5/4264/34522490654_cc844a57fc_o.jpg" alt="IC 2220 - Butterfly Nebel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35198961062/in/datetaken-public/]]

Objekt: IC 2233, Teleskop: 20" f/3.8 Newton, Vergrößerung: 138x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[12.12.2023|12. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/218V7V240V" title="IC 2233"><img src="https://live.staticflickr.com/65535/53446862665_c234f31a73_h.jpg" alt="IC 2233"/></a>

Objekt: IC 2448, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[25.05.2017|25. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38782711162/" title="IC 2448"><img src="https://farm5.staticflickr.com/4572/38782711162_889dfbd968_c.jpg" alt="IC 2448"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/37926892365/in/photostream/]]

____Objekt: IC 2553, 25" f/4 Dobson, Vergrößerung: 800x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[14.06.2021|14. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/T16du0" title="IC 5253"><img src="https://live.staticflickr.com/65535/51546211845_6406644b15_b.jpg" alt="IC 5253"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51545286756/in/photostream/]]

Objekt: IC 2574 - Coddington's Nebel, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Puerto de la Losa, Zeitpunkt: [[31.12.2016|31. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32747517172/in/datetaken-public/" title="IC 2574"><img src="https://c1.staticflickr.com/1/566/32747517172_12296ae39d_b.jpg" alt="IC 2574"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32860558806/in/datetaken/]]

Objekt: IC 2621, Teleskop: 25" f/4 Newton, 
Vergrößerung: 1200 fach, Filter:-, Bedingungen: SQM-L 21.95, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[29.05.2019|29. Mai 2019 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/0U7j23" title="IC 2621"><img src="https://live.staticflickr.com/65535/48658200653_081865b324_c.jpg" alt="IC 2621"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48658700107/in/dateposted/]]

Objekt: IC 289, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[20.01.2018|20. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42391182154/in/photostream/" title="IC 289"><img src="https://farm2.staticflickr.com/1766/42391182154_fdc1fa8661_c.jpg" alt="IC 289"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/42391182184/in/photostream/]]

Objekt: IC 342, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65-114x, Filter:-, Bedingungen: SQM-L 21.36, Ort: Wasserkuppe, Zeitpunkt: [[02.12.2016|02. Dezember 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/30987661574/in/datetaken/" title="IC 342"><img src="https://c7.staticflickr.com/1/329/30987661574_d7b2bd7d60_b.jpg" alt="IC 342"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31828228515/in/datetaken/]]

Objekt: IC 348, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[20.01.2018|20. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43075559742/" title="IC 348"><img src="https://farm2.staticflickr.com/1810/43075559742_a742c15fcb_c.jpg" alt="IC 348"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28256088007/]]

Objekt: IC 349, Teleskop: 20" f/3.8 Newton, Vergrößerung: ca. 1200x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[12.12.2023|12. Dezember 2023 - Wassertank]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/59S46871Ko" title="IC 349"><img src="https://live.staticflickr.com/65535/53523047094_bf0da4bef8_h.jpg" alt="IC 349"/></a>

Objekt: IC 349, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: ca. 1000 fach, Filter: -, Bedingungen: Bortle 3, Ort: Bonilla, Zeitpunkt: 16.08.2015 Uhr

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/21194030015/in/datetaken/" title="IC 349"><img src="https://farm6.staticflickr.com/5802/21194030015_8879854ee5_b.jpg" alt="IC 349"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/21183704142/in/datetaken/]]

Objekt: IC 351, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.51, Ort: Wasserkuppe, Zeitpunkt: [[13.10.2018|13. Oktober 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/3QL4R3" title="NGC 351"><img src="https://farm2.staticflickr.com/1904/43648662220_88bcfd535f_c.jpg" alt="NGC 351"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/44551468085/in/dateposted-public/]]

Objekt: IC 3568, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800x, Filter:-, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[27.01.2017|27. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33433054542/" title="IC 3568"><img src="https://c1.staticflickr.com/4/3791/33433054542_97b6095ec3_o.jpg" alt="IC 3568"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33589491755/in/datetaken-public/]]

Objekt: IC 405, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: UHC, Bedingungen: SQML-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[24.01.2017|24. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/33376475566/" title="IC 405"><img src="https://c1.staticflickr.com/4/3834/33376475566_1b1a5b9c94_b.jpg" alt="IC 405"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33376475586/in/photostream/]]

Objekt: IC 417, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: UHC, Bedingungen: SQML-L 21.88, Ort: Reventón, Zeitpunkt: [[22.01.2017|22. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32986396241/" title="Untitled"><img src="https://c1.staticflickr.com/4/3688/32986396241_c169039a0a_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32986396271/in/photostream/]]

Objekt: IC 417, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: Hß, Bedingungen: SQML-L 21.88, Ort: Reventón, Zeitpunkt: [[23.01.2017|23. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/33092978746/in/photostream/" title="Untitled"><img src="https://c1.staticflickr.com/3/2568/33092978746_dd67384d1c_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32289283914/in/photostream/]]

Objekt: IC 418, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 900x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[30.12.2018|30. Dezember 2018 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46545352944/in/dateposted/" title="IC 418"><img src="https://farm8.staticflickr.com/7843/46545352944_b8d2bc63a4_c.jpg" alt="IC 418"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46545353034/in/photostream/]]

Objekt: IC 426, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[05.01.2019|05. Januar 2019 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/4EQux8" title="IC 426"><img src="https://farm8.staticflickr.com/7914/33485188058_e329a47a33_c.jpg" alt="IC 426"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47308591602/in/photostream/]]

Objekt: IC 4406, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.9, Ort: Tivoli Astrofarm, Zeitpunkt: [[22.05.2017|22. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37903023305/" title="IC 4406"><img src="https://farm5.staticflickr.com/4585/37903023305_d08feb94d9_c.jpg" alt="IC 4406"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24916125838/]]

Objekt: IC 443 - Quallennebel, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x & __114x__, Filter: [OIII], Ort: Campos de Hernan Perea, Zeitpunkt: [[19. & 23.12.2022|23. Dezember 2022 - Campos de Hernan Perea]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/y401391P55" title="IC 443"><img src="https://live.staticflickr.com/65535/52641347236_cf7a86c341_h.jpg"  alt="IC 443"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52641821658/in/photostream/]]

Objekt: IC 447, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[07.04.2019|07. April 2019 - La Palma]], Seeing 2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/Ak322K" title="IC 447"><img src="https://live.staticflickr.com/7883/46692120935_9e5bd503e1_c.jpg" alt="IC 447"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46692121025/in/photostream/]]

Objekt: IC 4593, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 & 1200 fach, Filter:-, Bedingungen: SQM-L 21.95, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[06.06.2019|06. Juni 2019 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/w71Kc2" title="IC 4593"><img src="https://live.staticflickr.com/65535/48871454922_ba0615fe0f_c.jpg" alt="IC 4593"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48871454912/in/dateposted/]]

Objekt: IC 4599, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 & 1200 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[29.05.2019|29. Mai 2019 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3sSF18" title="IC 4599"><img src="https://live.staticflickr.com/65535/49091402266_7628cda858_c.jpg" alt="IC 4599"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49090890318/in/photostream/]]

Objekt: IC 4634, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[09.07.2018|9. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29787477428/" title="IC 4634"><img src="https://farm1.staticflickr.com/926/29787477428_4e27a3d141_c.jpg" alt="IC 4634"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29787477568/in/photostream/]]

Objekt: IC 4637, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.8, Ort:  Tivoli Astrofarm, Zeitpunkt: [[28.05.2017|28. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35553958514/in/datetaken-public/" title="IC 4637"><img src="https://farm5.staticflickr.com/4370/35553958514_b20ee7d2d7_b.jpg" alt="IC 4637"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35553958474/in/datetaken-public/]] [[High Resolution|https://www.flickr.com/photos/106029581@N02/35553958544/in/datetaken-public/]]

Objekt: IC 4642, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.9, Ort:  Tivoli Astrofarm, Zeitpunkt: [[27.05.2017|27. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35676844533/in/datetaken-public/" title="IC 4642"><img src="https://farm5.staticflickr.com/4353/35676844533_cf9624b07a_c.jpg" alt="IC 4642"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36347890591/in/datetaken-public/]]

Objekt: IC 466, Teleskop: 20" f/3.8 Newton, Vergrößerung: 138x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[08.12.2023|8. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/X2131j86BH" title="IC 466"><img src="https://live.staticflickr.com/65535/53485938823_6791a80528_h.jpg" alt="IC 466"/></a>

Objekt: IC 4670, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800 fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[06.04.2019|06. April 2019 - La Palma]], Seeing 1

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/9qwB0h" title="IC 4670"><img src="https://live.staticflickr.com/65535/47698139481_1c0f7b7243_c.jpg" alt="IC 4670"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47698139511/in/photostream/]]

Objekt: IC 4699, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[23.05.2017|23. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37351505034/in/photostream/" title="IC 4699"><img src="https://farm5.staticflickr.com/4455/37351505034_b34b09a4a2_c.jpg" alt="IC 4699"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26284516529/in/photostream/]]

Objekt: IC 5052, Teleskop: 25" f/4 Newton, 
Vergrößerung: 278x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[30.06.2022|30. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3L8u87D245" title="IC5052"><img src="https://live.staticflickr.com/65535/52284817088_fcd5487f5b_c.jpg" alt="IC5052"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52283870172/in/dateposted/]]

Objekt: IC 5076, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter:-, Bedingungen:-, Ort: RDLM, Zeitpunkt: 31.12.2015 & 01.01.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25048695885/in/datetaken/" title="IC 5076"><img src="https://farm2.staticflickr.com/1613/25048695885_0a4aa1dd09_o.jpg" alt="IC 5076"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24955394651/in/datetaken/]]

Objekt: IC 5146, Teleskop: 20" f/3.8 Newton, Vergrößerung: 100x, Filter: UHC, Ort:  [[Athos Star Campus]], Zeitpunkt: [[09.12.2023|9. Dezember 2023 - Athos Star Campus]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/XV2WC3AD2x" title="IC 5146"><img src="https://live.staticflickr.com/65535/53507741247_e6ce16def3_h.jpg" alt="IC 5146"/></a>

Objekt: IC 5146, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter: UHC, Bedingungen: SQM-L 21.73, Ort: PDA, Zeitpunkt:  31.07.2016

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/28422071983/in/datetaken/" title="IC 5146"><img src="https://c8.staticflickr.com/9/8847/28422071983_d3bc28e36c_o.jpg" alt="IC 5146"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28422067483/in/datetaken/]]

Objekt: IC 5148, ''24" f/4.3 Bino-Dobson'', Vergrößerung: 154x, Filter: OIII, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[01.06.2019|01. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/42QD0w" title="IC 5148"><img src="https://live.staticflickr.com/65535/51194145097_14fe42761c_c.jpg" alt="IC 5148"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51195624969/in/photostream/]]

Objekt: IC 5150, Teleskop: 25" f/4 Newton, Vergrößerung: 280x, Filter: UHC, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[23.05.2017|23. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34658898084/in/datetaken-public/" title="IC 5150"><img src="https://c1.staticflickr.com/5/4259/34658898084_d043929541_o.jpg" alt="IC 5150"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34658898054/in/datetaken-public/]]

Objekt: IC 5217, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.51, Ort: Wasserkuppe, Zeitpunkt: [[05.10.2018|05. Oktober 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43680478130/in/dateposted-public/" title="IC 5217"><img src="https://farm2.staticflickr.com/1951/43680478130_91b7d91f05_c.jpg" alt="IC 5217"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/44771986074/in/dateposted-public/]]

Objekt: IC 59 & 63, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 80x, Filter: UHC, SQM-L: 21.6, Ort: Lange [[Rhön]], Zeitpunkt: [[9.10.2021|9. Oktober 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/x27QdP" title="IC 59 &amp; 63"><img src="https://live.staticflickr.com/65535/51626029513_4b4af4505c_h.jpg" alt="IC 59 &amp; 63"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51626665670/in/photostream/]]

Objekt: Abell 37, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.55, Ort: La Podona, Zeitpunkt: 15.03.2015 02:20:00

<a href="https://www.flickr.com/photos/106029581@N02/16748755127" title="IC 972 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7609/16748755127_921476e260_z.jpg" alt="IC 972"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16955169581]]

<div class="tc-link-info-item-large" style="float:right;margin-left:15px;margin-bottom:0px;margin-top:5px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/iR43yh" title="Untitled"><img src="https://live.staticflickr.com/65535/51790824564_52d48602e3_h.jpg"></a> Gebrauchte und astromodifizierte Sony A7.</div>

Ich habe nun doch eine so genannte Vollformatkamera. Bisher war ich im APS-C Bereich unterwegs und das war auch gut so. Kameras gab es für unter 500€ mit Objektiv (Sony A6000), zwei dieser Art habe ich auch schon Astro modifizieren lassen. Die Ergebnisse sind sehr gut und so wollte ich es auf jeden Fall vermeiden, auf Vollformat umzusteigen. Tja, jetzt ist es allerdings passiert. Was mich dazu bewogen hat, möchte ich hier kurz skizzieren.

!Schlechte Low-Light Performance bei APS-C 

Letztlich hat mich dazu bewogen, dass die Low Light-Performance der A6000 insbesondere unter sehr dunklen Himmel, zum Beispiel Namibia doch zu schlecht ist. Jedenfalls für meine Ansprüche. Eine Vollformat Kamera der gleichen Generation, wie die A7, bietet im Vergleich zum APS-C etwa bei 1000 ASA vergleichbare Ergebnisse: für nicht nachgeführte Aufnahmen benötige ich beispielsweise in Namibia für die korrekte Belichtung eines Einzelbildes 6400 ASA bei Blende 2. Mit der A7 erwarte ich bei 6400 deutlich weniger Rauschen, als bei der A6000. Denn die Pixelgröße der A7 ist in etwa doppelt so groß wie der der A6000. Ich gewinne etwa eine Blende, d.h. Wenn ich mit der APS-C Kamera bei 6400 ASA belichte, benötige ich mit der Vollformatkamera nur 3200 ASA bei gleicher Bildhelligkeit. Hinzukommt das geringere Rauschen, dass mit etwa 1000 ASA angesetzt werden kann. Somit würde ich dann bei umgerechnet 2200 ASA der A6000 landen. Das ist ein gewaltiger Unterschied! Ich kann an der Vollformatkamera an ohne dass ich neue Objektive kaufe im APS-C Mode einfach weiter fotografieren. Lediglich die Pixelanzahl der Bilder ist um den Faktor 1,5 reduziert. Dies ist allerdings kein Nachteil, da die Auflösung bei Nachtaufnahmen eh zweitrangig sind, zumindest für Schnappschüsse die ich in der Regel mache. Da fällt dann aber die A7S zum Beispiel raus, denn die hat noch viel größere Pixel und nur eine Auflösung von zwölf Megapixel. Wenn man diese jetzt wählen würde, wäre Rauschen definitiv kein Thema mehr, aber im APS-C Mode würden doch einfach die Bilder auf 8 Megapixel Auflösung fallen. Das ist dann vermutlich doch zu wenig.

Das sind zumindest die theoretischen Überlegungen 🧐, die ich mir im Vorfeld gemacht hatte. Ich wollte auf jeden Fall auch nicht den Fehler machen, und jetzt eine neue Kamera kaufen und mit viel Geld modifizieren zu lassen. Als ich dann die Möglichkeit hatte, eine gebrauchte A7, die bereits modifiziert war, zu kaufen, griff ich zu. 
Gleichzeitig schlug ich bei einem Black Friday Angebot zu: ich kaufte mir das Samyang 135 f2. Insgesamt habe ich für die A7 und das 135 mm Objektiv weniger als 1000 € ausgegeben. 

!Der Theoretiker 

Das sind die theoretischen Überlegungen gewesen, die mich schließlich den Entschluss fassen lassen eine weitere modifizierte Kamera zu kaufen. Ich hoffe damit ist Schluss. Weitere Objektive, abgesehen von dem Samyang 135 möchte ich eigentlich nicht kaufen. Hintergrund ist einfach die Tatsache, dass Objektive im Vollformat deutlich schwerer und viel teurer sind. Häufig ist die Abbildungsleistung von APS-C Objektiven mittlerweile sehr gut. In der Regel sind Vollformatobjektive doppelt so teuer bei gleicher Leistung. Meine APS-C  Objektive kann ich weiterhin an der A7 betreiben, lediglich die geringere Auflösung schlägt zu Buche. Sie sinkt von 24 Megapixel auf etwa 16 Megapixel, was allerdings verkraftbar ist.

! Der Vergleich

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/wTEKkW" title="Untitled"><img src="https://live.staticflickr.com/65535/51806161934_659ba2a90a_k.jpg"></a>

Was direkt auffällt ist die Tatsache, dass sich die A6000 im Verhältnis sehr gut schlägt. Letztlich ist das Bild bei der A7 deutlich heller, aber nicht um eine Blende, sondern geschätzt, um eine halbe. Die Bildqualität ist nahezu identisch. Das hat mich etwas überrascht.

Im zweiten Teil geht es dann darum, ob die Bildqualität tatsächlich im Astrobereich besser ist oder ob sich das praktisch gar nicht zeigt, denn die Vergleichsfotos zeigen nur einen geringen Unterschied: statt 6400 auf nur mehr als 3200, vermutlich 5000 ASA.

Ja, total idiotisch. Warum lässt sich sofort erklären. Aber der Reihe nach. Zunächst, ich besitze seit sehr, sehr langer Zeit einen vier Zoll Refraktor. Den habe ich 2004 auf dem damaligen ITV gebraucht erstanden. Der hatte zwecks Fotografie im Mittelformat einen riesigen Auszug und einen üppigen Tubus. Böse Blenden im Tubus sind auch nicht verbaut worden, denn es wurde ja ursprünglich mal das 6 × 7 Mittelformat ausgeleuchtet, was es tatsächlich auch recht gut tat.

Im Sommer 2022 kam ich schließlich mit [[Uwe|http://www.deepsky-visuell.de]] mal wieder ins Gespräch und angesprochen auf seine aktuellen Projekte verwies er auf DAS 3 Zoll Okular, dass bei Explore Scientific seit einigen Jahren im Portfolio ist: 3 Zoll, 30mm & 100°. Also schaute ich mal nach, was ist denn wohl im Moment kosten würde. Und dann der Schock! 799 €. Das ist wenig! Zusammen mit dem zugehörigen Zenitspiegel kommt man auf etwa 1200 €. Nicht schlecht! Den passenden Refraktor hab ich ja schon und da im Strahlengang offenbar nichts vignettiert scheint dem Ganzen nichts im Weg zu stehen. Das ist wichtig, denn was nützt einem so ein Okular, wenn auf dem Weg dorthin die Hälfte des Lichts verschluckt wird und damit die 3 Zoll gar nicht ausgeleuchtet werden.

Ich war also angefixt. Schnell habe ich APM kontaktiert und sogar am Wochenende den Auftrag fertig gemacht. Was ich natürlich brauchte war eine Reduzierung auf drei Zoll statt auf zwei, die ich ja standardmäßig am Teleskop schon hatte. Und da insbesondere der Preis sehr günstig war, schlug ich zu. Habe dann im Bundle bei Bresser bestellt und es wurde auch prompt geliefert.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/H570KTF41m" title="Untitled"><img src="https://live.staticflickr.com/65535/52268234302_45910c024f_k.jpg"></a>

!4 Zoll Öffnung - 3 Zoll Okular mit 30mm und 100°

Die Austrittspupille ist natürlich mit dem Okular nicht so ideal. Das liegt einfach daran, dass der APO f8 hat und damit auch recht langbrennweitig ist. Er liefert daher eine AP von 3.75 also fast 4. Etwas dunkel, eine AP um 5mm wäre besser gewesen. Egal. Aufgebaut wurde das Ganze auf einer Giro Montierung, die das Ganze gut hält aber schon gut an der Grenze der Belastbarkeit ist. Der Apo wiegt mit Rohrschellen 10 kg und dann kommen drei für den Zenitspiegel und das Okular hinzu. Apropos Okular. Ja, es ist mit zwei Kilo recht schwer, aber die Ausmaße sind natürlich gigantisch und dafür scheint es erstaunlich leicht in der Hand zu liegen. 

!Die Giro Monti ist überfordert 

Die Giro, die ich habe, ist am Ende mit der Kombi. Beim Berühren des Teleskops zittert das ganze Bild. Aber letztlich ist es egal, die Frage ist wie oft ich mit dieser Kombination tatsächlich beobachte. 

!M31 ist der Hammer! Aber andere Sachen auch.

M31 ist echt der Hammer! Das vier Grad große Gesichtsfeld wird quasi vollständig von der Galaxie eingenommen. Die Begleitgalaxien sind sehr gut erkennbar, und Größe und Erscheinung schon gut unterscheidbar. Das Staubband ist diffus sichtbar. Einfach Klasse. Setze an dem anderen „Arm“ ein Pentax SDHF 75 ein. Mit dem Pentax XL 40 mm komme ich auf 12x. Ein schöner Sucher. 

Mizar und Alcor sind bereits am Pentax gut zu erkennen. Aber der Doppelsterncharakter von Mizar nicht. Das geht nur mit 27x im 4 Zöller. Sieht Mega aus. Dito, h & chi-Perseii.

Was soll das Ganze nun? Keine Ahnung, vielleicht Spaß haben?

[[Katalog|https://de.wikipedia.org/wiki/Abell-Katalog]] mit über 4000 Galaxienhaufen von George Ogden Abell. 

<<list-links filter:"[tag[Abell Galaxienhaufen]]">>

Atlas of Peculiar Galaxies siehe [[Wikipedia|https://de.wikipedia.org/wiki/Atlas_of_Peculiar_Galaxies]]. 

<<list-links filter:"[tag[Arp Galaxien]]">>

Galaktische Nebel sind alle Staub- und Gasnebel in unserer Milchstraße bzw. Galaxis, ausgenommen die [[Planetarischen Nebeln|Planetarische Nebel]].

<<list-links filter:"[tag[Galaktische Nebel]]">>

!![[Galaxien]]

<<list-links filter:"[tag[Galaxien]![Superthin Galaxien]]">>

Abkürzung für [[Hickson Compact Group|http://de.wikipedia.org/wiki/Hickson_Compact_Group]]. 

{{Hickson Galaxiengruppen}}

<!--<<list-links filter:"[tag[HCG]]">>-->

Ein Komet ist ein sogenannter "Schweifstern". Diese Objekte kommen  häufig aus den Randgebieten des Sonnensystems und entwickeln auf ihrer Bahn zur Sonne einen Gasschweif.

<<list-links filter:"[tag[Kometen]]">>

!''Messier & NGC & Misc''

<<list-links filter:"[tag[Kugelsternhaufen]] -[prefix[Palomar]] -[prefix[Terzan]] ">>

!''Palomar Kugelsternhaufen''

{{Palomar Kugelsternhaufen}}

!''Terzan Kugelsternhaufen''

{{Terzan Kugelsternhaufen}}

<<list-links filter:"[tag[Offene Sternhaufen]]">>

Planetarische Nebel sind Überrest von Sternexplosionen. Sie bestehen häufig aus Gas.

!![[PN - Abell Katalog]]

<<list-links filter:"[tag[Abell]]">>

NGC & andere


<<list-links filter:"[tag[Planetarische Nebel]![Abell]]">>

Dies sind [[Galaktische Nebel]], die das Licht umliegender Sterne reflektieren bzw. streuen. Sie lassen sich ohne Filter am Besten beobachten.

<<list-links filter:"[tag[Reflexionsnebel]]">>

Die Zeichnungen sind in folgende Kategorien unterteilt:

!![[Planetarische Nebel]]

!!![[PN - Abell Katalog]]

<<list-links filter:"[tag[Abell]]">>

NGC & andere

<<list-links filter:"[tag[Planetarische Nebel]![Abell]]">>

!![[Galaktische Nebel]]

<<list-links filter:"[tag[Galaktische Nebel]]">>

!!![[Reflexionsnebel]]

<<list-links filter:"[tag[Reflexionsnebel]]">>

{{Index - Galaxien}}

!!![[Superthin Galaxien]]

<<list-links filter:"[tag[Superthin Galaxien]]">>

!!Galaxienhaufen

!!![[Hickson Compact Group - HCG|Hickson Galaxiengruppen]]

<<list-links filter:"[tag[HCG]]">>

!!![[Abell Galaxienhaufen]]

<<list-links filter:"[tag[Abell Galaxienhaufen]]">>

!!Arp Galaxien

<<list-links filter:"[tag[Arp Galaxien]]">>

!!Kugelsternhaufen

<<list-links filter:"[tag[Kugelsternhaufen]]">>

!![[Kometen]]

<<list-links filter:"[tag[Kometen]]">>

!!Planeten

<<list-links filter:"[tag[Planeten]]">>

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<<list-thumbnails filter:"[tag[HelloThumbnail]]" width:"180" height:"115">>
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<div style="font-size:0.7em;text-align:center;margin-top:2em;margin-bottom:2em;"><a href="https://twitter.com/EstelarDe" class="tc-btn-big-green" style="border-radius:4px;background-color:#5E9FCA;" target="_blank" rel="noopener noreferrer">
{{$:/core/images/twitter}} Twitter
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<a href="https://www.youtube.com/channel/UCINsS41BJQwva-q790lIhjg" class="tc-btn-big-green" style="border-radius:4px;background-color:#e52d27;" target="_blank" rel="noopener noreferrer">{{$:/core/images/video}} ~YouTube</a>
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<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:15px;">

![[NGC 2392 - Eskimonebel]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 2392 - Eskimonebel}}

</div>
Planetarischen Nebel sind lohnenswert Objekte. Die hellsten von Ihnen zeigen zum Teil überraschende Details. Manche von ihnen zeigen innere Schalen und sogar einen Zentralstern. Häufig sind die Schalen mit Knoten oder helleren Segmenten versehen. Insgesamt zeigen sich schöne Strukturen, aber häufig bleiben „Brücken“, Filamenten im Innersten den Beobachter verborgen.

Seit einigen Jahren versuche ich mit sehr großen Geräten, d.h. über 20 Zoll, in der Regel mit 25 Zoll bei den hellsten planetarischen Nebeln nach eben diesen inneren Strukturen, d.h. Filamenten und Nebelbrücken zu suchen. Leider bisher ohne Erfolg.

Zunächst stellt sich die Frage, woher man eigentlich weiß, dass es diese Strukturen gibt. Ganz einfach: auf viele hoch aufgelösten Aufnahmen des Hubble Space Teleskop sind diese sehr gut und zum Teil überraschend hell zu erkennen. Aber nicht nur vom Weltraum aus, unter perfekten Bedingungen, wo die Luftunruhe keine Rolle spielt sind diese Strukturen sichtbar. Schon Amateure können mithilfe des Lucky Imaging die hellsten davon nachweisen. Die Frage ist natürlich, ob man diese auch möglicherweise visuell beobachten kann.

! Innere Strukturen im Eskimonebel

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;">

![[NGC 2392 - Eskimonebel - Innere Strukturen]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{NGC 2392 - Eskimonebel - Innere Strukturen}}

</div>

Der Eskimonebel ist ein sehr bekannter Planetarischen Nebel in der nördlichen Hemisphäre. Er ersteht im Sternbild Zwillinge und ist den gesamten Winter über bis ins Frühjahr gut beobachtbar. Dabei zeigt er neben dem Zentral Stern neben auch eine helle innere Schale bzw. Ring, mit einem winzigen Detail: die sogenannte „Brücke“. Sie ist bereits mit mittelgroßen Teleskopen, d.h. etwa 14 Zoll beobachtbar.

Voraussetzungen sind natürlich hervorragende Seeingbedingungen. Da reicht es häufig nicht aus, dass diese gut oder sehr gut sind, sie müssen praktisch außergewöhnlich gut sein. Das hat man natürlich so gut wie nie, aber am 27. März gab es einen solchen außergewöhnlichen Moment beziehungsweise Zeitraum.

Die Bedingungen waren so gut, dass die Brücke praktisch direkt und ohne irgendwelche Schwierigkeiten sichtbar war. Zunächst habe ich versucht, hellere Bereiche in diesem Bereich auszumachen, was aber leider nicht gelang. Als Nächstes nahm ich den inneren Nebelring ins Visier und konnte schließlich einen hellen Knoten im Süden ausmachen. Er liegt etwas mittig und scheint ins Innere wie ein Tropfen hineinzuragen. Dies war knapp direkt und über einen längeren Zeitraum von einigen Sekunden immer wieder gut sichtbar. Östlich und westlich erschienen ebenfalls blickweise immer wieder jeweils zwei Knoten in unterschiedlichen Abständen. Dabei zeigten sich auch immer wieder im Innern - vor allem westlich - ein länglicher Knoten, der immer wieder aufblitzte. Das Seeing war über die gesamte Beobachtung praktisch unverändert und dabei spitzenmäßig!  So können Seeingeffekte ausgeschlossen werden, denn bei der benutzten Vergrößerung von 1200x waren die Strukturen so stark vergrößert, dass ein verschmieren unmittelbar von mir bemerkt worden wäre. Auch köstlich zeigten sich – wie gesagt – zwei Knoten, die Fahnen ins Innere zu haben schienen. Dies war mit Sicherheit das schwierigste Detail. 

!Fazit

Innere Strukturen sind offenbar tatsächlich zum Teil beobachtbar. Leider nicht so, wie man das auf diversen Aufnahmen gut erkennen kann. Dennoch zeigt sich, wohl aber nur in Ausnahmefällen, hin und wieder eine innere Struktur. Ich habe – wie gesagt – die letzten Jahre versucht solche auch in anderen Planetarischen Nebeln zu beobachten, was stets misslang.

Objekt: IRAS 09371+1212 - Frosty Leo, Teleskop: 14" f/4.6 Newton, Vergrößerung: 1000x, Filter:-, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[27.03.2017|27. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33388526803/in/datetaken-public/" title="Frosty Leo"><img src="https://c1.staticflickr.com/3/2866/33388526803_c1b9da797d_b.jpg" alt="Frosty Leo"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33815009080/in/datetaken-public/]]

Objekt: IRAS 12419-5414 - Boomerang Nebel, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 & 1200 fach, Filter:-, Bedingungen: SQM-L 21.95, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[29.05.2019|29. Mai 2019 - Tivoli Astrofarm]], Seeing 1

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/JrNM69" title="IRAS 12419-5414 - Boomerang Nebel"><img src="https://live.staticflickr.com/65535/48759954878_4e55aec862_c.jpg" alt="IRAS 12419-5414 - Boomerang Nebel"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48759954883/in/photostream/]]

Objekt: Jacoby 1, Teleskop: 21" f/3.8 Newton, Vergrößerung: __85x__ & 100x, Filter: [OIII], Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[08. & 09.03.2024|8. März 2024 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/97g88un5Cs" title="Jacoby 1"><img src="https://live.staticflickr.com/65535/53623219401_1f1bb4d0a8_h.jpg" alt="Jacoby 1"/></a>

Objekt: Jonckheere 320, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[20.01.2018|20. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29098440968/" title="Jonckheere 320"><img src="https://farm2.staticflickr.com/1807/29098440968_d683a02fde_c.jpg" alt="Jonckheere 320"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29098440978/in/photostream/]]

Objekt: Jonckheere 900, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter: -, Bedingungen: SQM-L 21.76, Ort: Llanos de las Animas, Zeitpunkt: [[13.01.2018|13. Januar 2018 - La Palma]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42919963592/" title="Jonckheere 900"><img src="https://farm2.staticflickr.com/1823/42919963592_944a96dbab_c.jpg" alt="Jonckheere 900"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/42919963602/]]

Objekt: Jones 1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56-168x, Filter:OIII, Bedingungen: SQM-L 21.2, Ort: Stumpi, Zeitpunkt: [[04.10.2016|4. Oktober 2016 - Stumpertenrod]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29943784880/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/6/5794/29943784880_b7c790cf29_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/30240552625/in/datetaken/]]

Objekt: Jones-Embersen 1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56 & 114x, Filter: OIII, Bedingungen: SQM-L 21.5, Ort: Wasserkuppe, Zeitpunkt: [[28.11.2016|28. November 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/30862104264/in/datetaken/" title="Jones-Emberson 1"><img src="https://c1.staticflickr.com/1/283/30862104264_8ccd18b7ed_b.jpg" alt="Jones-Emberson 1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/30862104244/in/datetaken/]]

!!Alle Beobachtungsberichte auf einem Blick
<ul><$list filter="[tag[Journal]]+[!sort[created]]"><li>Posted <$view field="created" format="relativedate"/>: <$link to={{!!title}}><$view field="title"/></$link></li></$list></ul>

[[Mehr im Archiv...|http://www.estelar.de/archive.html]]

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;">  <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/E53Y73S6L2" title="Untitled"><img src="https://live.staticflickr.com/65535/53066180001_813ffdfba8_h.jpg"/></a></div>

In Namibia war dieses Jahr alles ausgebucht. Daher hatte ich ursprünglich als Alternative die kanarischen Inseln im Blick. Aber leider sind die Flugpreise recht hoch und da ich so lange auch nicht bleiben möchte, fiel die Wahl auf das spanische Festland. Es soll wieder in den Pinar gehen. Falls die Wettervorhersage schlecht sein sollte, was im Juni eigentlich nur bedeuten kann, dass Saharastaub im Anmarsch ist, kann man alternativ zum Alto Tajo, der 400 km nördlich liegt, ausweichen. Hier hat man im Juni immer noch knapp fünf Stunden astronomische Nacht. Im Pinar ist es eine halbe mehr. Mit Blick auf die Kosten ist das spanische Festland kaum zu schlagen. Hier kommt man für 45 + 20 € Verpflegung pro Tag durch. Flüge kosten um die 150 € hin und zurück. Gepäckzuschlag für den 14 Zöller macht noch mal 70 € extra. Alles muss in handelsübliche Koffer passen. Mietwagen gibt es ab etwa 110 € (!) für 12 Tage. Das ist eigentlich das astronomische Schlaraffenland. So kommt man für 10 Tage mit allen Kosten auf etwas mehr als 1000 €. In Namibia sind es mindestens 3000. Die kanarischen Inseln liegen dazwischen.

Im Vorfeld jedoch gibt es einen kleinen Schreck: zum einen, haben sich ein paar Tiefdruckgebiete über mehrere Wochen immer wieder über der iberischen Halbinsel festgesetzt und zum anderen wurde mein Rückflug einige Tage vor Hinflug gecancelt. Zum Glück konnte ich umbuchen, wenn gleich auch die Möglichkeit angeboten worden ist, den Flug komplett zu stornieren und das Geld zurückzunehmen. Grund für den Ausfall ist im übrigen ein Pilotenstreik. Auf dem Rückflug habe ich sogar das Glück beim Checkin in der Business Class zu landen. Warum, wieso, weshalb, bleibt unklar, ich lasse mir allerdings noch mal zusichern, dass das ganze nichts extra kostet. Ich habe nun auch das Zusatzgepäck für den Rückflug frei, hatte ich aber schon im Vorfeld gebucht und bezahlt. Wer rechnet schon damit, dass er kostenlos in der Business Class landet.

!Digitales Zeichnen - es geht weiter

Das digitale Zeichnen hat auch seine Tücken. Aber ich versuche diese so gut wie möglich zu händeln. Ich habe also auch diesmal wieder den digitalen Bleistift dabei und als Zeichenblock mein iPad. Ich habe vor, wieder mit dem 14 Zöller zu arbeiten und parallel dazu auch mit dem Feldstecher. Einige Objekte habe ich dabei auch vor zu zeichnen.

Um den Himmel auf dem spanischen Festland noch mal besser einschätzen zu können, habe ich noch mal ein paar Aufnahmen, bei gleicher Bildhelligkeit, verglichen. Natürlich erhebt dies keinen wissenschaftlichen Anspruch, jedoch bleibt festzuhalten, dass der Himmel im Pinar etwa eine Blende „heller“ ist als auf Namibia. Die Rhön im Vergleich noch mal eine weitere Blende. Dies habe ich anhand der Belichtungszeit und der Einstellung der Empfindlichkeit der Kamera beim Vergleich einiger Fotos ermittelt. Dabei verwende ich folgende Parameter an meiner Sony A7a:

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/DV231EzL56" title="Untitled"><img src="https://live.staticflickr.com/65535/52989949187_4a796b3059_h.jpg"/></a></div>

|!Beobacht-<br>ungsort|!Blende|!Zeit|!ISO|
|Rhön|2.8|90 sec|800|
|Pinar de<br>Araceli|2.8|180 sec|800|
|Namibia|2.8|180 sec|1600|

!Go South!

Tatsächlich gibt es in Spanien einige dunkle Beobachtungsorte, wie die Lightpollution Map zeigt. Dennoch sind solche im Süden zu bevorzugen, denn hier gibt es im Gegensatz zum Norden bis zu eine halbe Stunde mehr astronomische Dunkelheit. Im Juni sind dies fünfeinhalb Stunden. Sofern es klar ist, ist dies eigentlich gar nicht mal so schlecht. In Namibia gibt es zur selben Zeit zehn Stunden, auf den kanarischen Inseln siebeneinhalb Stunden. Für Spanien ist der Juni zudem ein guter Monat, denn in der Regel wird das Festland noch nicht von der „Calimaglocke“ aus der Sahara überzogen. Ausschließen kann man dies allerdings nicht. Deshalb habe ich auch so gebucht, dass ich den Mietwagen bis 48 Stunden vor dem Reisebeginn stornieren kann. Der Flug kann zudem bis kurz vorher ebenfalls verschoben werden. Beim Hotel genügt ein kurzer Anruf, um abzusagen bzw. zu verschieben. Das Vorgehen garantiert somit, dass man tatsächlich zu halbwegs guten Bedingungen verreist. Die Wettervorhersagen inklusive Staub funktionieren ja mittlerweile bis sieben Tage im Voraus recht gut. Das muss reichen. Bei Calima wäre es sogar möglich, spontan Plätze 400 km weiter nördlich anzusteuern.

!Beobachtungsobjekte

Bezüglich der Objekte habe ich mir diesmal im Vorfeld richtig Gedanken gemacht. Häufig bin ich schlecht vorbereitet. 

Mit dabei habe ich auch ein neues Gerät, das „ursprüngliche“ SQM, also ohne L, denn das habe ich bereits und auch dies ist dabei. Das macht doch keinen Sinn! Mal sehen.

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 13.-14.06.|13. Juni 2023 - Pinar de Araceli]]|''14" Dobson, 5.5 h, Ort: Pinar de Araceli, SQM-L 21.8, SQM 21.6, 6 °C''<br>[[M 101 mit SN 2023ixf]], //Laevens 3//|
|[[2. Nacht / 14.-15.06.|14. Juni 2023 - Pinar de Araceli]]|''14" Dobson, 5.5 h, Ort: Pinar de Araceli, SQM-L 21.6, 11 °C''<br> [[M 101 mit SN 2023ixf]], [[NGC 6578]], [[Kohoutek 4-10]]|
|[[3. Nacht / 15.-16.06.|15. Juni 2023 - Pinar de Araceli]]|''14" Dobson, 5.5 h, Ort: Pinar de Araceli, SQM-L 21.76, 15 °C''<br>[[M 94]], NGC 6384, [[NGC 6578]], //Laevens 3//, [[M 27 - Hantelnebel]]|
|[[4. Nacht / 16.-17.06.|16. Juni 2023 - Pinar de Araceli]]|''14" Dobson, 5.5 h, Ort: Pinar de Araceli, SQM-L 21.55, 15 °C''<br>[[NGC 4485 & 90 - Kokon Galaxie]], [[NGC 6629]], [[NGC 6644]], [[NGC 6960 - Sturmvogel]]|
|[[5. Nacht / 17.-18.06.|17. Juni 2023 - Pinar de Araceli]]|''14" Dobson, 5.5 h, Ort: Pinar de Araceli, 11° C''<br> [[NGC 6960 - Sturmvogel]]|
|[[18.-20. Juni 2023 - Bewölkte Tage & Nächte|18.-20. Juni 2023 - Bewölkte Tage & Nächte]]|Keine Beobachtungen möglich|
|[[6. Nacht / 21.-22.06.|21. Juni 2023 - Pinar de Araceli]]|''14" Dobson, 5.5 h, Ort: Pinar de Araceli, 8° C, SQM-L 21.6''<br>[[M 94]], [[M 101 mit SN 2023ixf]], [[NGC 6842]], [[Preite Martínez 1-333]]|
|!6 Nächte|!Gesamtbeobachtungszeit ca. 36 h, [[12 Objekte gezeichnet|Zeichnungen - Juni 2023]]|

!Wetter

Die Wettervorhersage ist im Vorfeld durchwachsen. Im Mai hat es in Spanien nach einer langen Trockenzeit endlich geregnet und das überall im Land. Als ich aufbreche, sind letzte Gewitter auf dem Abzug, allerdings sagt die Vorhersage, dass weitere möglicherweise auf dem Weg sind. Abwarten! Eigentlich sind fast die Bedingungen für einen Abbruch erfüllt, aber zuhause bleiben ist auch nicht so toll. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Yq30hp14R4" title="Untitled"><img src="https://live.staticflickr.com/65535/52989943202_93fd289284_k.jpg"/></a>

Am Ende kommt es genauso. Schon erstaunlich, wie gut die Wettervorhersage 14 Tage im Voraus ist. Insgesamt können fünf Nächte gut beobachtet werden, eine schlecht, drei sind komplett bewölkt. Eine Nacht (die letzte) kam unvermittelt hinzu, aufgrund der Tatsache, dass mein Rückflug storniert wurde  und ich in diesem Zuge am selben Tag einen späteren Flug nehmen konnte. 
Im direkten Vergleich mit La Palma, schneidet die Insel deutlich besser ab,  zumindest wenn man den Roque als Referenz nimmt. Hier konnte fast jede Nacht beobachtet werden, lediglich einige Nächte mit hoher Luftfeuchtigkeit um die 90 % waren dabei. Man sieht, wie weit Tiefdruckgebiete, die das spanische Festland erreichen können, tatsächlich wirken, denn sie waren bis runter auf die kanarischen Inseln spürbar, wenngleich es dort zu keinen relevanten Niederschlägen kam. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/RcqZbBAS9F" title="Untitled"><img src="https://live.staticflickr.com/65535/53013626268_794d9e60b8_k.jpg"/></a>

Diesmal standen wieder Planetarische Nebel im Vordergrund, vor allem wegen des sehr guten Seeings. Zwar konnte ich in den vergangenen Jahren immer wieder auf gute Bedingungen hoffen, aber perfektes Seeing war doch selten, gutes die Regel. Aber vielleicht habe ich auch jetzt den optimalen Platz gefunden, der von der Bodenbeschaffenheit und den lokalen Voraussetzungen perfekt geeignet ist. Wahrscheinlich ist es nicht so, aber es ist schon schön dies anzunehmen. 😉

!Kosten

|!Position|!Betrag in €|
|Flug| 176|
|Zusatzgepäck| 66|
|Mietwagen inkl. Vollkasko für 10 Tage| 180|
|Benzin| 80|
|Unterkunft inkl. Halbpension für 9 Tage| 469|
|!Summe|!1071 €|

Halbpension heißt übrigens Milchkaffee am Morgen, Mittagessen (Vorspeise, Salat, Hauptmenü, Nachspeise 🍨 ggf. Kaffee), hin und wieder ein kleines Bier, Nachtbrot zum Mitnehmen. Bei 9 Tagen sind das 52 € pro Tag/Nacht. Günstiger geht es auch: Für [[20 € pro Nacht|https://puertadeandalucia.com/nuestra-gastronomia/habitacion-individual/]] ohne Essen, wobei mit landet man schätzungsweise dann tatsächlich bei weniger als 40-50 €. Kostenlose Unterbringung geht auch, wenn man in eine der drei Schutzhütten in den [[Campos de Hernan Pelea|23. Dezember 2022 - Campos de Hernan Perea]] geht. Dort muss man sich selbst versorgen. Wasser 💦 gibt es aber aus einer Pumpe. Kamin ist auch vorhanden, Holz 🪵 muss man mitbringen. 

!Standortbedingungen

Die Bedingungen sind als gut zu bezeichnen. Gutes und häufig sehr gutes Seeing. Gutes Wetter mit häufig klaren Nächten; gute bis sehr gute Transparenz. Relativ Calima sicher. Dunkler Himmel mit Bortle 2 und SQM-Werten um 21.6, wahrscheinlich aber noch bessere Werte möglich. Kaum bzw. kein Wind. Günstig!! Optimaler Mix.

Zum Vergleich La Palma: oft windig auf dem Roque, so dass dort auch dann nicht beobachtet werden kann. Bei starkem Wind Mega schlechtes Seeing, bei Windstille Mega gutes. Top Transparenz möglich, aber auch grottenschlechte bei Calima. Unterkünfte ab ca. 50 € pro Nacht bis 80 € mit Mittagessen schätzungsweise 80 € bzw. 110 € plus Verpflegung für die Nacht/den Tag für ca. 5 €. Flüge sind mittlerweile deutlich teurer. Insgesamt weniger Lichtverschmutzung.

!Fazit

Eine schöne Exkursion mal abseits von Namibia und auch La Palma. Habe mit dem 14 Zoll Spiegel lange nicht mehr beobachtet, seitdem ich auf 21 Zoll umgestiegen bin. Aber es zeigt sich, dass man mit 14 Zoll schon ne ganze Menge sehen kann. Mich motiviert dies zusätzlich und ich rücke vorerst von der Idee ab mit dem 21 Zoll Dobson Exkursionen bis nach Spanien zu machen. Das ist alles zwar sicher ganz toll, aber die lange Fahrzeit ist doch heftig. Somit steht der 14 Zöller wieder in meinen Fokus und das Thema 21 Zoll in Spanien ist erstmal kein Thema mehr. Mal sehen, wie lange das so bleibt.

Objekt: Jupiter, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420x & 290x, Filter: -, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[26.03.2017|25. März 2017 - La Palma]], Seeing: 0.4"

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33302284614/in/datetaken-public/" title="Jupiter"><img src="https://c1.staticflickr.com/3/2884/33302284614_1ed2aa62e4_b.jpg" alt="Jupiter"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Das Video zeigt die Planeten Jupiter & Saturn bei sehr gutem Seeing.

<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/575502324?badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479" frameborder="0" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen style="position:absolute;top:0;left:0;width:100%;height:100%;" title="Jupiter und Saturn"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

Planetenbeobachtungen gehören für mich zum schwierigsten was die visuelle Astronomie zu bieten hat. Hier ist Geduld gefragt, da bei hohen Vergrößerung möglichst viele Details in kurzer Zeit erkannt werden müssen. Fast immer spielt das Seeing da nicht mit und so ist man auf kurze ruhige Momente angewiesen. In diesen gilt es, möglichst viele Details zu erkennen und vor allem zu merken! Zu merken? Ja, denn man liegt ständig auf der Lauer, um die perfekten Momente abzupassen. Mal einfach so eine Weile zeichnen und dann wieder ein Blick durch Okular werfen hat sich bei mir als Nachteil herausgestellt. Das kann man bei Deep Sky Objekten so machen, denn hier wird in der Regel nicht so stark vergrößert bzw. sind die Details nicht so zahlreich. Irgendwann mache ich dann doch wieder eine Pause, denn alle Details, auch wenn sie mehrfach verifiziert sind, müssen schließlich doch irgendwann aufs Papier, um neuen Eindrücken Platz zu schaffen.

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;">

![[Jupiter]]

<div class="tc-subtitle">Posted <$view field="modified" format="relativedate"/></div>

{{Jupiter}}

</div>

!!Die richtige Vergrößerung ist entscheidend

Häufig wird Beobachtern vorgeworfen, dass sie zu hoch vergrößern. Entscheidend bei der Vergrößerung ist, welche Details man noch gewinnbringend erkennen kann. An meinem 14 Zoll Dobson ist bei gutem Seeing eine Vergrößerung von 290 fach sehr gut einsetzbar. Lange Zeit hielt ich die Vergrößerung von 420 fach für zu hoch. Dies war allerdings ein Fehler, da bei bestem Seeing feinste Strukturen besser erkennbar werden. Im 14 Zöller ist der Planet schon sehr hell. Bei 290 fach sind die Lachs-, Braun- und Orangene Farbtöne der farbigen und dunkleren Wolkenbänder sehr gut erkennbar. An den Polen dominiert Grau. Bei 420 fach verschwindet der Farbeindruck. Die weiße Äquatorregion ist gleißend hell. 

!!Jupiter zeigt viele Details

Jupiter hat zum Oppositionzeitpunkt einen scheinbaren Durchmesser von über 40". Da lassen sich schon einige Details erkennen. Ich kann mit meinem 14 Zoll Dobson etwa zehn Wolkenbänder identifizieren. In diesen geht es turbulent zu. Häufig sind haarfeine Strukturen in Form von waagerechten, unregelmäßigen dunklen Linien zu erkennen. Darüber hinaus natürlich auch Strukturen in Form von ovalen Flecken. Der berühmteste und dauerhafteste ist der "Große Rote Fleck". 

Bei meinen Aufenthalten auf La Palma beobachte ich Jupiter regelmäßig. Dort ist das Seeing oft so gut, dass sich die Beobachtung lohnt. Keine Seltenheit sind 0.4", wenn die Bedingungen stimmen. 

!!Jupiter zeichnen ist eine Herausforderung

Beim Zeichnen muss man sich sputen. Der Planet rotiert in acht Stunden um seine eigene Achse. Schnell wandern die Strukturen weiter! Und gerade dann ist das Seeing wieder schlecht! Abstände der Wolkenbänder einprägen. Und dort zeigt sich eine neue Struktur. Jupiter ist Stress pur. 

!!Die erste Zeichnung

Der Zeichnung ging eine Skizze voraus. Diese habe ich mit normalem Bleistift gemacht. Die Farbeeindrücke habe ich notiert. Zu Hause folgte dann die [[Reinzeichnung|https://www.flickr.com/photos/106029581@N02/33416623143/in/datetaken-public/]] mit aus dem Netz geladener Schablone (Google hilft) und Buntstiften auf DIN A5. Die Größe ist bewusst gewählt: So groß, das Details ohne Probleme markant und einfach gezeichnet werden können. Bei der anschließenden Bearbeitung und Verkleinerung gewinnt die Zeichnung wieder an Details. Es folgt die Digitalisierung per Scanner. Obwohl die Buntstifte zu knallig sind, ist dies kein Problem, da ich über die digitale Nachbearbeitung einfach die Sättigung herabsetzen kann.

Zum Schluss läuft ein Weichzeichner drüber und mittels einer digitalen Schablone habe ich den weißen Hintergrund das Zeichenpapiers in schwarz verwandelt. Die komplette Bildbearbeitung erfolgt bei mir auf dem Smartphone oder Tablet mit frei verfügbaren Apps von PS.

Objekt: Jupiter, Teleskop: 14" f/4.6 Newton, Vergrößerung: 300x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[23.12.2022|23. Dezember 2022 - Campos de Hernan Perea]], Seeing: 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9us6k5z2Uu" title="Jupiter am 19.12.22"><img src="https://live.staticflickr.com/65535/53015739488_1ffbef1604_h.jpg" alt="Jupiter am 19.12.22"/></a>

Objekt: Jupiter, Teleskop: 14" f/4.6 Newton, Vergrößerung: 300x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[19.12.2022|19. Dezember 2022 - Pinar de Araceli]], Seeing: 3, ca. [[1"|https://w3.caha.es/SEEING/HISTORIC/hgrafica.php?dd=19&mm=12&yy=2022]], Norden ist unten

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/M4AD460fz0" title="Jupiter am 19.12.22"><img src="https://live.staticflickr.com/65535/52613833021_87b1ddd7e3_c.jpg" alt="Jupiter am 19.12.22"></a>

Objekt: Kohlensack und Eta-Carinae, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: Sigma 55mm f1.4, Filter:-, Blende: f1.7, Belichtungszeit: 60 sec, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[27.05.2019|27. Mai 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48339746017/in/dateposted-public/" title="Kohlensack &amp; Eta-Carinae"><img src="https://live.staticflickr.com/65535/48339746017_849bf72145_k.jpg" alt="Kohlensack &amp; Eta-Carinae"></a>

Objekt: Kohoutek 1-14, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 255x, Filter: OIII, Bedingungen: SQM-L 21.9, Ort: [[Athos Star Campus]], Zeitpunkt: [[13.09.2020|13. September 2020 - La Palma]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/8YhMP4" title="Kohoutek 1-14"><img src="https://live.staticflickr.com/65535/50562348163_72ec7ee2ff_c.jpg" alt="Kohoutek 1-14"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50563090121/in/photostream/]]

Objekt: Kohoutek 1-16, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 fach, Filter: OIII, Bedingungen: SQM-L 21.7, Ort: Pinar de Araceli, Zeitpunkt: [[19.07.2017|19. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36172814323/in/datetaken-public/" title="Kohoutek 1-16"><img src="https://farm5.staticflickr.com/4431/36172814323_a970028f9b_c.jpg" alt="Kohoutek 1-16"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36793877586/in/datetaken-public/]]

Objekt: Kohoutek 1-22, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter:OIII, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[06.04.2019|06. April 2019 - La Palma]], Seeing 2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/22fCX1" title="Kohoutek 1-22"><img src="https://live.staticflickr.com/65535/47882683941_aa55a9e489_c.jpg" alt="Kohoutek 1-22"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47882683931/in/photostream/]]

Objekt: Kohoutek 1-22, ''24" f/4.3 Bino-Dobson'', Vergrößerung: 154x, Filter: OIII, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[01.06.2019|01. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3140h4" title="K 1-22"><img src="https://live.staticflickr.com/65535/51193039870_ae30fee87c_c.jpg" alt="K 1-22"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51191264002/in/photostream/]]

Objekt: Kohoutek 1-6, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 142x, Filter: OIII, Bedingungen: SQM-L 21.9, Ort: [[Athos Star Campus]], Zeitpunkt: [[19.09.2020|19. September 2020 - La Palma]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/y450i4" title="Kohoutek 1-6"><img src="https://live.staticflickr.com/65535/50894053398_11df01eb14_c.jpg" alt="Kohoutek 1-6"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50894885442/in/photostream/]]

Objekt: Kohoutek 2-1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[30.12.2018|30. Dezember 2018 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/g96FMN" title="Kohoutek 2-1"><img src="https://farm8.staticflickr.com/7843/47356061841_44ce221750_c.jpg" alt="Kohoutek 2-1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47273634272/in/dateposted-public/]]

Objekt: Kohoutek 2-2, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: OIII, Bedingungen: SQM-L 21.82, Ort: Puerto de la Losa, Zeitpunkt: [[31.12.2016|31. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31375497133/in/datetaken/" title="Untitled"><img src="https://c6.staticflickr.com/1/274/31375497133_3fa9236889_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31810867950/in/datetaken/]]

Objekt: Kohoutek 3-27, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[25.06.2022|25. Juni 2022 - Tivoli Astrofarm]], Seeing 2-3, sehr transparent 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9357DoW0R0" title="K 3-27"><img src="https://live.staticflickr.com/65535/52250771901_47f7fb0797_c.jpg" alt="K 3-27"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52251059459/in/photostream/]]

Objekt: Kohoutek 3-27, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Pinar de Araceli, Zeitpunkt: [[12.07.2018|12. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43760549462/" title="Kohoutek 3-27"><img src="https://farm2.staticflickr.com/1794/43760549462_a9c0599877_c.jpg" alt="Kohoutek 3-27"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43092878344/in/photostream/]]

Objekt: Kohoutek 3-36 , Teleskop: 21" f/3.8, Vergrößerung: 562x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[15. September 2023|15. September 2023 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6a1ph36CWY" title="Kohoutek 3-36"><img src="https://live.staticflickr.com/65535/53196108283_1a20b5ba5b_h.jpg" alt="Kohoutek 3-36"/></a>

Objekt: Kohoutek 3-68, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420x, Filter:-, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[28.01.2017|28. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32691375274/" title="K 3-68"><img src="https://c1.staticflickr.com/4/3848/32691375274_309ab8aa32_o.jpg" alt="K 3-68"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33589491755/in/photostream/]]

Objekt: Kohoutek 3-82, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290 & 430x, Filter: UHC, Bedingungen: SQM-L 21.4, Ort: Wasserkuppe, Zeitpunkt: [[05.11.2018 & 31.10.2019|Wasserkuppe im Herbst 2019]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/H3oWRp" title="Kohoutek 3-82"><img src="https://live.staticflickr.com/65535/49001680126_13a639d00a_c.jpg" alt="Kohoutek 3-82"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49001134318/in/photostream]]

Objekt: Kohoutek 3-90, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420x, Filter:-, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[28.01.2017|28. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32173174313/" title="Kohoutek 3-90"><img src="https://c1.staticflickr.com/3/2326/32173174313_a3427c065f_b.jpg" alt="Kohoutek 3-90"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32143601974/in/photostream/]]

Objekt: Kohoutek 3-94, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420x, Filter:-, Bedingungen: SQM-L 21.7, Ort: Roque de los Muchachos, Zeitpunkt: [[24.03.2017|24. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33817072050/in/datetaken-public/" title="K 3-94"><img src="https://c1.staticflickr.com/3/2914/33817072050_c2d14aa6a0_b.jpg" alt="K 3-94"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33390632143/in/datetaken-public/]]

Objekt: Kohoutek 4-10, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[14.06.2023|14. Juni 2023 - Pinar de Araceli]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/86ApiT51UM" title="Kohoutek 4-10"><img src="https://live.staticflickr.com/65535/52987129761_00cb107b2c_h.jpg" alt="Kohoutek 4-10"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52606920483/in/photostream/]]

Objekt: Komet C/2022 ZTF E3, Teleskop: 21" f/3.8, Vergrößerung: 85x, Filter:-, Ort: Wasserkuppe, Zeitpunkt: [[13. Februar 2023|13. Februar 2023 - Wasserkuppe]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/x5D4U8e7mp" title="C/2022 ZTF E3"><img src="https://live.staticflickr.com/65535/52773925011_0177bfcacb_h.jpg" alt="C/2022 ZTF E3"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52774343250/in/photostream/]]

Objekt: Komet Lovejoy - C/2014 Q2, Teleskop: 14" f/4.6 Newton, Seeing: Perfekt!, Vergrößerung: 65, Filter: -, Bedingungen: SQM-L 21.55, Ort: Rhön, Zeitpunkt: 18.04.2015 23:20

<a href="https://www.flickr.com/photos/106029581@N02/17224748561" title="Lovejoy by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8761/17224748561_d5851f2866_z.jpg" alt="Lovejoy"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16602864954]]

Ein Komet ist ein sogenannter "Schweifstern". Diese Objekte kommen  häufig aus den Randgebieten des Sonnensystems und entwickeln auf ihrer Bahn zur Sonne einen Gasschweif.

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Objekt: Kronberger 54, Teleskop: 14" f/4.6 Newton, Vergrößerung: 430 fach, Filter:-, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[15.10.2017|15. Oktober 2017 - Wasserkuppe]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/37819529612/in/datetaken-public/" title="Kronberger 54"><img src="https://farm5.staticflickr.com/4482/37819529612_3c1a75dc52_c.jpg" alt="Kronberger 54"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/37819530062/in/datetaken-public/]]

![[Index - Kugelsternhaufen]]

!!''__Messier__'' > NGC > Palomar > Terzan > Misc

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!!Messier > ''__NGC__'' > Palomar > Terzan > Misc

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!!Messier > NGC > ''__Palomar__'' > Terzan > Misc

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!!Messier > NGC > Palomar > ''__Terzan__'' > Misc

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!!Messier > NGC > Palomar > Terzan > ''__Misc__''

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La Palma kann von Deutschland aus in 4.5 h erreicht werden. Die Insel ist infrastrukturell sehr gut erschlossen, so dass auch viele astronomisch interessante Boebachtungsplätze erreicht werden können. Hier ist das Wetter für Astronomen am besten verglichen mit anderen Standorten in Europa.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/40631276583/in/datetaken/" title="Untitled"><img src="https://live.staticflickr.com/7873/40631276583_3387b0d4cb_k.jpg"></a>

In tieferen Lagen weht häufig der Nordost-Passat, dessen Luftmassen Feuchtigkeit aus dem Antlantik aufnehmen, die als tiefe Wolken dann im Norden und Osten "angespült" werden. Im Sommer reichen diese Wolken bis ca. 1000m über den Meerespiegel, wohin gegen im Winter es bis zu 1800m sein können. Der Roque de los Muchachos ist die höchste Erhebung der Insel, die praktisch einen risiegen erloschenen Vulkan darstellt. Von Norden nach Süden wird die Insel von einem Berkamm geteilt, der als Wetterscheide fungiert. Die bereits erwähnten Passatwolken stauen sich im Osten und sofern sie höher liegen "schwappen" sie in den Westen der Insel. Meist lösen sie sich dabei auf, so dass bei NO-Wind der Süden und Westen nachts wolkenfrei sind. Oft jedoch lösen sich die letzten Wolkenfetzen erst gegen Mitternacht auf.
La Palma profitiert von langen Schönwetterphasen (südlicher Hochdruckgürtel) und seiner ausgezeichneten Lage im Meer. Diese beiden Faktoren zusammen mit Höhenlagen über 2000m, in denen ein trockenes Klima mit relativer Luftfeuchte oft unter 30% vorherrscht, lässt diese Insel zu einem idealen Beobachtungsstandort werden.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/32623814455/in/dateposted/" title="Zodiakallicht und der Untergang der Sommermilchstrasse"><img src="https://live.staticflickr.com/768/32623814455_85dc3118c8_k.jpg" alt="Zodiakallicht und der Untergang der Sommermilchstrasse"></a>

Vor allem im Sommer kann mit sehr langen stabilen Hochdruckwetter gerechnet werden. Die Nähe zur Sahara führt allerdings vor allem im Sommer zu Wetterlagen, die Staub aus eben jener Wüste heranträgt. Dann ist der Horizont tagsüber nicht mehr zu erkennen und die Fernsicht schlecht. 

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<<<.tc-big-quote

!La Palma ist einfach nur schön...

Die Insel hat fast alles zu bieten: Strand, Meer & Sonne. Man kann auch ausgiebig wandern 🥾 Fast alles ist möglich, außer Skifahren ⛷ 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/q955t4"><img src="https://live.staticflickr.com/4740/25971722788_57c8a389b5_h.jpg"></a>

Gerade im Westen bis Norden gibt es wirklich schöne Orte, die ihren eigenen Zauber haben. Die Caldera und der Roque de los Muchachos gehören unabhängig vom Thema Astronomie zu den Orten, die man besucht haben muss.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/49944109278/in/album-72157714514863838/" title="Untitled"><img src="https://live.staticflickr.com/65535/49944109278_fc66765846_h.jpg"></a>

Magisch sind auch die Lichtstimmungen, die man vor allen Dingen am Morgen bzw. abends vorfindet. Auf La Palma gibt es zu dem folgendes Sprichwort: Wen Gott liebt, dem schenkt er ein Leben auf La Palma!

<<<

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!!Die schlechten Monate

Die schlechtesten Monate für klares Wetter und gute Beobachtungsbedingungen findet man – wie man erwarten würde – etwa ab Ende Oktober bis Mitte April. Meiner Erfahrung nach – die mehr als 15 Jahre auf La Palma zurück reicht – ist der November und insbesondere der Februar eine schlechte Zeit um nach La Palma aufzubrechen. Im November und Februar fallen nämlich intensive Niederschläge und ich erinnere mich sogar an ein Jahr, wo im Februar den gesamten Monat über keine Beobachtung möglich war. Keine Angst, Denn ich war nicht dort aber über die Wetterstation der ING – Group kann man das Wetter jederzeit verfolgen. Im März beziehungsweise Anfang April geht dies fast analog, allerdings kann man dann schon mit recht guten Nächten rechnen. Nichts desto trotz ist in den beiden Monaten das typische Aprilwetter auch hier gang und gebe.

Die Monate Juli bis mindestens Ende August liegt die Insel unter einer Staubwolke. Diese kommt, wie ich schon erwähnte aus der Sahara. Wenn man Glück hat, kommt sie erst ab Mitte Juli. Sehr selten, dass sie während der beiden Monate überhaupt nicht auftritt. Kommt aber hin und wieder auch vor.

!! Die besten Monate

Der Januar gehört tatsächlich zu einem der besten Monate im Winter. Der Dezember ist auch nicht schlecht, aber die meisten klare Nächte hat man im Januar. Nachdem sich dann ab Mitte April etwa das stabile hoch über den Azoren dauerhaft etabliert hat, kann man praktisch bis Anfang Oktober hinein mit sehr klaren Himmel rechnen. Im Mai kann es noch mal regnen, aber dies ist in der Regel nur vereinzelt möglich. 

Begleitend hinzu kommen dann enorme Temperatursprünge, die im Sommer sehr unangenehm sind. Sie treten häufig ab Juli bis Ende August auf. Im Jahr 2007 hingegen fast gar nicht. Sie kündigen sich durch Ostwind an, wobei der Staub in seinem Schlepptau i.d.R. 1-2 Tage auf sich warten lässt. Ein anderes Wetterphänomen sind Zirruswolken, die oft von Süden bzw. Südwesten z.T. tagelang über die Insel hinwegziehen. Der Nordost Passat bestimmt das Wettergeschehen bis in die mittleren Höhenlagen der Insel. Seine Grenze wird durch die Wolkendecke bestimmt. Darüber sorgt ein Scherwind zumeist aus NNW für die trockene Luft und zudem für nahezu ganzjährig konstante Nachttemperaturen, die durch die permanente Inversionsschicht oft höher ist als in mittleren Höhenlagen. Er verhindert auch das Aufsteigen der Passatwolken, die Nachts wie "Kähne" über dem Meer an der Insel vorbeizutreiben scheinen. Die Nachttemperaturen fallen nur selten unter die Nullgradgrenze. Schnee auf dem Roque de los Muchachos ist selten und tritt wenn dann häufig im Februar auf.

!Beobachtungsplätze

Gute Beobachtungsbedingungen findet man deshalb im Westen und die besten im Nordwesten der Insel. Der Norden ist geringer besiedelt als die anderen Gegenden. Die größten Städte sind Los Llanos de Aridane im Westen und St. Cruz de La Palma im Osten. Im Süden befinden sich mittlerweile auch Hotelanlagen, die zur Lichtverschmutzung beitragen. Im Nordwesten der Insel tauchen deshalb kleine Lichtdome im Süden bzw. Südenosten auf. Diese sind aber visuell nicht besonders störend zumal ab Mitternacht ohnehin ein Großteil der Beleuchtung auf der Insel abgeschaltet wird.

<ul><li>[[Roque de los Muchachos (RDLM)]]</li>
<li>[[Llanos de las Animas & Wassertank]]</li><li>[[La Podona]]</li><li>[[El Colmenero]]
</li><li>[[Casas Rurales]]</li><li>[[Athos Star Campus]]</li></ul>

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Dezember 2023 auf La Palma mit einem 20 Zoll Dobson gezeichnet habe:

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Die folgende Tabelle zeigt die Auflistung der beobachteten Objekte pro Tag. Objekte, die ich gezeichnet habe, sind unterstrichen und entsprechend verlinkt. //Kursiv// gedruckte Objekte konnte ich nicht sehen.

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 01.-02.04.|1. April 2016 - Roque de los Muchachos]]|''14"  Dobson, ca. 4 h, SQM-L 21.72, 4 Objekte''<br>Jupiter - Doppelter Schattendurchgang, __[[Sh2-308]]__, __[[NGC 4565]]__, Leo Triplet|
|[[2. Nacht / 02.-03.04.|2. April 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 5 h,  3 Objekte''<br>Sirius B, Jupiter mit GRF Transit, __[[NGC 2359 - Thor's Helm]]__|
|[[3. Nacht / 03.-04.04.|3. April 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 9 h, SQM-L 21.65, 3 Objekte''<br>__[[C/2013 US 10 (Catalina) Apr 2016]]__, __[[Leo Triplet]]__, M81, Abell 1656, Mars, Saturn, Phänomen auf dem Horizont liegende Milchstraße, M8 & M20, M80, __[[252P/LINEAR]]__|
|[[4. Nacht / 04.-05.04.|4. April 2016 - La Podona]]|''14" Dobson, ca. 2 h, SQM-L 21.76''<br>Sternenhimmel mit bloßem Auge|
|[[5. Nacht / 05.-06.04.|5. April 2016 - Trocha del Reventon]]|''14" Dobson, ca. 9 h, SQM-L 21.70, 2 Objekte''<br>__[[Sh2-276 - Barnard's Loop]]__, __[[Abell 21]]__, __[[M81 & M82]]__|
|[[6. Nacht / 06.-07.04.|6. April 2016 - Weinberg über Puntagorda]]|''14" Dobson, ca. 6 h, SQM-L 21.6, 5 Objekte''<br>__[[Sh2-276 - Barnard's Loop]]__ mit bloßem Auge, M51,  __[[M101]]__, M81 & M4 mit bloßem Auge|
|[[7. Nacht / 07.-08.04.|7. April 2016]]|''Keine Beobachtung''<br>|
|[[8. Nacht / 08.-09.04.|8. April 2016 - Weinberg über Puntagorda]]|''14" Dobson, ca. 9 h, 6 Objekte''<br>Barnard's Loop, __[[IC 2177 - Mövennebel]]__, __[[NGC 4565]]__, __[[NGC 4216]]__, __[[NGC 4244]]__, NGC 4725 & 4712|
|[[9. Nacht / 09.-10.04.|9. April 2016 - Trocha del Reventon]]|''14" Dobson, ca. 5 h, SQM-L 21.72, verschiedene Objekte''<br>IC 2177 - Mövennebel, __[[NGC 4725]]__, M51, M20, M8, Pfeifennebel, B142 & 143, M24, B86, M16 & M17|
|!9 Nächte|!Gesamtbeobachtungszeit 49 h, über 30 Objekte beobachtet (z.T. mehrfach), davon __[[15 gezeichnet|La Palma April 2016 - Zeichnungen]]__|

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Januar 2016 auf La Palma gezeichnet habe:

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<$list filter="[tag[La Palma April 2016]] +[!sort[created]limit[30]]">

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<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32618312745/in/datetaken/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/621/32618312745_956a69955e_k.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

La Palma im Januar ist mittlerweile ein fester Termin in meinem jährlichen Beobachtungskalender. Ursprünglich war November ins Auge gefasst. Wegen schlechten Wetters dann aber kurzfristig verschoben auf Januar. 

!!!Manchmal ist "Verschieben" die bessere Lösung...

Bei schlechtem Wetter nutze ich die Möglichkeit des Verschiebens von Flügen, Mietwagen und gemietetem Häuschen. Bei den Flügen ist das problemlos bis ca. 2 Stunden vor Abflug (mit Umbuchungsgebühr) möglich, beim Haus drei Tage sowie beim Mietwagen 48h vorher kostenfrei möglich. Es ist besser die Möglichkeit des "Verschiebens" zu nutzen, als im Regen rumzusitzen. Oder wie ein Bekannter mal meinte: Beobachtungszeit ist teuer! Und Urlaubstage begrenzt.

!!!Eine Woche als Zeitraum zum Beobachten ist erfahrungsgemäß optimal

Natürlich macht es keinen Sinn wiederum ständig zu verschieben, da ja auch bei den Flügen eine Umbuchungsgebühr fällig wird. Daher wähle ich fast immer einen Zeitraum von ca. einer Woche für einen Aufenthalt, da die Wahrscheinlichkeit, dass es mindestens eine klare Nacht gibt, relativ hoch ist. Den November allerdings werde ich zukünftig meiden, da ich bereits ein paar Mal auf die Nase gefallen bin. Das habe ich mir schon mal vorgenommen :)

Auf dem Weg zur [[Podona|La Podona]] sehe ich eine Sternwartenkuppel. Ein Schild weist den Weg zum [[Athos Observatorium|http://www.athos.org]].

Die erste Nacht fiel erwartungsgemäß in's Wasser. Wolken und Regen. Vor der Morgendämmerung dann klar, aber die Nacht war rum. Die folgende Nacht soll aber klar sein. Endlich geht es los. Die letzte Beobachtungsnacht liegt gerade mal drei Wochen zurück.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 22.-23.01.|22. Januar 2017 - La Palma]]|''14" Dobson, 11 h, Ort: Reventón, SQM-L 21.85, 7 Objekte''<br>__[[NGC 613]]__, __[[NGC 1232]]__, __[[HCG 26]]__, __[[IC 410]]__, __[[PK 173-05.1]]__, __[[NGC 2022]]__, __[[HCG 62]]__|
|[[2. Nacht / 23.-24.01.|23. Januar 2017 - La Palma]]|''14" Dobson,11 h, Ort: Reventón, SQM-L 21.92, 3 Objekte''<br>__[[IC 417]]__, __[[NGC 3242 - Jupiter's Geist]]__, NGC 4038 & 39|
|[[3. Nacht / 24.-25.01.|24. Januar 2017 - La Palma]]|''14" Dobson, 12 h, Ort: Roque de los Muchachos, SQM-L 21.86, 4 Objekte''<br> __[[Cassiopeia A]]__, IC 2461, __[[IC 405]]__, __[[NGC 3242 - Jupiter's Geist]]__|
|[[4. Nacht / 26.-27.01.|26. Januar 2017 - La Palma]]|''14" Dobson, 10 h, Ort: Roque de los Muchachos, SQM-L 21.86, 6 Objekte''<br>__[[NGC 1360]]__, __[[HCG 26]]__, __[[Arp 206]]__, M78, __[[M108]]__, IC 3568, Abell 30|
|[[5. Nacht / 27.-28.01.|27. Januar 2017 - La Palma]]|''14" Dobson, 11 h, Ort: Roque de los Muchachos, SQM-L 21.94, 9 Objekte''<br>__[[Sh2-176]]__, M74, __[[M1-Krebsnebel]]__, __[[IC 3568]]__, NGC 2392 - Eskimo Nebel, NGC 4490, __[[M 94]]__, Jupiter|
|[[6. Nacht / 28.-29.01.|28. Januar 2017 - La Palma]]|''14" Dobson, 10 h, Ort: Roque de los Muchachos, 9 Objekte''<br>__[[Kohoutek 3-90]]__, __[[IC 1747]]__, __[[UGC 1281]]__, M78, //Abell 14//, Jonckheere 900, __[[Kohoutek 3-68]]__, NGC 2346, M3, __[[Abell 36]]__|
|[[7. Nacht / 29.-30.01.|29. Januar 2017 - La Palma]]|''14" Dobson, 5 h, Ort: Reventón, 9 Objekte''<br>Mars, Hubble 12, NGC 1501, NGC 2610, __[[NGC 2207 & IC 2163]]__|

Insgesamt sieben gute Nächte. Zwei mit prächtigem Seeing. Die restlichen Seeingmäßig durchwachsen. Wettermäßig gut. Nur zwei Nächte bewölkt.

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Wieder ein Jahr rum. Letzte Beobachtung war im [[Oktober in der Rhön|Zwei Nächte auf der Wasserkuppe]]. Flug läuft optimal. Umsteigen in Madrid in weniger als 45 min. Der Flieger ist um 13:40 Uhr schon in La Palma. So bleibt genügend Zeit zum vorbereiten. Hatte einen Polo bzw. vergleichbares gebucht. Gibt ein kostenloses Upgrade auf etwas größeres: ein Kangoo. Sehr gut!

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 12.-13.01.|12. Januar 2018 - La Palma]]|''14" Dobson, 8 h, Ort: Degollada de los Frances, SQM-L 21.76, 5 Objekte''<br>__[[Böhm-Vitense 5-1]]__, __[[Böhm-Vitense 5-3]]__, __[[Minkowski 1-8]]__, __[[Minkowski 1-13]]__, __[[Simeis 147 - hellster Teil (Region D) um HD 246646|Simeis 147 um HD 246646]]__|
|[[2. Nacht / 13.-14.01.|13. Januar 2018 - La Palma]]|''14" Dobson, 9 h, Ort: Llanos de las Animas, SQM-L 21.76, 9 Objekte''<br>__[[Jonckheere 900]]__, __[[Minkowski 1-7]]__, //V777 Mon - „Red Rectangle“//, __[[Stephenson 3-1]]__, __[[NGC 3184]]__, __[[Sanduleak 2-21]]__, __[[Yale Columbia 2-5]]__, __[[Minkowski 3-3]]__, __[[Longmore-Tritton 5]]__|
|[[3. Nacht / 14.-15.01.|14. Januar 2018 - La Palma]]|''14" Dobson, 8 h, Ort: Llanos de las Animas, SQM-L 21.89, 3 Objekte''<br>__[[Hartl-Dengel-Weinberger 2]]__, __[[Simeis 147 - hellster Teil (Region D) um HD 246646|Simeis 147 um HD 246646]]__, //Simeis 147 - um HD 246128//|
|[[4. Nacht / 15.-16.01.|15. Januar 2018 - La Palma]]|''14" Dobson, 3 h, Ort: Reventon, 1 Objekt''<br>__[[Simeis 147 - Region D um HD 246128|Simeis 147 um HD 246646]]__|
|[[5. Nacht / 17.-18.01.|17. Januar 2018 - La Palma]]|''14" Dobson, 3 h, Ort: Weinberge über Puntagorda, ''<br>Aufgebaut aber wegen Sturm und anschließendem Regen nicht beobachtet.|
|[[6. Nacht / 18.-19.01.|18. Januar 2018 - La Palma]]|''14" Dobson, 4 h, Ort: Weinberge über Puntagorda, 4 Objekte''<br>__[[Vyssotsky 1-1]]__, __[[Ellis-Grayson-Bond 1=HDW 1|Ellis-Grayson-Bond 1]]__, //Ishida-Weinberger 1//, //Simeis 147 - Region B um Stern SAO 77350//|
|[[7. Nacht / 19.-20.01.|19. Januar 2018 - La Palma]]|''14" Dobson, 10.5 h, Ort: Weinberge über Puntagorda, SQM-L 21.72, 6 Objekte''<br>__[[NGC 1999]]__, __[[HCG 10]]__, __[[NGC 1333]]__, __[[NGC 1579]]__, Äusserer Halo von NGC 3242 - Jupiter's Geist, südliche Wintermilchstraße im 10x50 Feldstecher|
|[[8. Nacht / 20.-21.01.|20. Januar 2018 - La Palma]]|''14" Dobson, 9 h, Ort: Llanos de las Animas, SQM-L 21.82, 6 Objekte''<br>Sh2-176, __[[NGC 404 - Mirach's Geist]]__, __[[Heckathorn-Fesen-Gull 1]]__, __[[IC 289]]__, __[[NGC 1501]]__, __[[IC 348]]__, __[[Jonckheere 320]]__, Peimbert-Batiz 1, __[[Ellis-Grayson-Bond (EGB) 6]]__|

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Die durchwachsenen Nächte gehen schließlich mit Calima zu Ende. Seeing war mies, fast alle Tage. Daher fällt die letzte Nacht auch flach, nicht nur weil der Mond stört. Und Recht hatte ich: Zu Beginn der Nacht zeigt das TNG-Teleskop ein Seeing von 3.1“ an. Unglaublich! Ich habe neue Beobachtungsorte in den Weinbergen über Puntagorda gefunden und muss sagen: Überall hat es mir gefallen! Ich war diesmal nur einmal auf dem Roque. Der Wind hat dies verhindert. Finde ich aber gar nicht schlimm, da jeder Ort seinen Charme hat. 

created: 20170116130835832
list: [[21. Januar 2017 - La Palma]] [[22. Januar 2017 - La Palma]] [[23. Januar 2017 - La Palma]] [[24. Januar 2017 - La Palma]] [[25. Januar 2017 - La Palma]] [[26. Januar 2017 - La Palma]] [[27. Januar 2017 - La Palma]] [[28. Januar 2017 - La Palma]] [[29. Januar - La Palma]]
modified: 20170117115219149
tags: 2016
title: La Palma im Januar

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31915380461/in/datetaken/" title="Untitled"><img src="https://c6.staticflickr.com/1/637/31915380461_0db011dc66_z.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

La Palma im Januar ist mittlerweile ein fester Termin in meinem jährlichen Beobachtungskalender. Ursprünglich war November ins Auge gefasst. Wegen schlechten Wetters dann aber kurzfristig verschoben auf Januar. 

!!!Manchmal ist "Verschieben" die bessere Lösung...

Bei schlechtem Wetter nutze ich die Möglichkeit des Verschiebens von Flügen, Mietwagen und gemietetem Häuschen. Bei den Flügen ist das problemlos bis ca. 2 Stunden vor Abflug (mit Umbuchungsgebühr) möglich, beim Haus drei Tage sowie beim Mietwagen 48h kostenfrei möglich. Es ist besser die Möglichkeit des "Verschiebens" zu nutzen, als im Regen rumzusitzen. Oder wie ein Bekannter mal meinte: Beobachtungszeit ist teuer! Und Urlaubstage begrenzt.

!!!Eine Woche als Zeitraum zum Beobachten ist erfahrungsgemäß optimal

Natürlich macht es keinen Sinn wiederum ständig zu verschieben, da ja auch bei den Flügen eine Umbuchungsgebühr fällig wird. Daher wähle ich fast immer einen Zeitraum von ca. einer Woche für einen Aufenthalt, da so die Wahrscheinlichkeit, dass es mindestens eine klare Nacht gibt, relativ hoch ist. Die Wahrscheinlichkeit, dass ich zweimal hintereinander richtig schlechtes Wetter erwische, ist - nach meiner Erfahrung - gering. Den November allerdings werde ich zukünftig meiden, da ich bereits ein paar Mal auf die Nase gefallen bin. Das habe ich mir schon mal vorgenommen :)

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 21.-22.01.|21. Januar 2017 - La Palma]]|''14"  Dobson, 8 h, Ort: Podona, SQM-L 21.xx,  10 Objekte''<br>__[[NGC 1232]]__, __[[NGC 1360]]__, __[[NGC ]]__, |
|[[2. Nacht / 22.-23.01.|22. Januar 2017 - La Palma]]|''14" Dobson, 11 h, Ort: Roque de los Muchachos, SQM-L 21.82, 11 Objekte''<br>__[[NGC 613]]__, __[[UGC 1281]]__, __[[NGC 3242]]__|
|[[3. Nacht / 23.-24.01.|23. Januar 2017 - La Palma]]|''14" Dobson, 6 h, Ort: Puerto de la Losa, SQM-L 21.76, 3 Objekte''<br>__[[Sh2-176]]__, __[[HCG 22]]__, __[[M42 - Zentrum]]__|
|[[4. Nacht / 24.-25.01.|24. Januar 2017 - La Palma]]|''14" Dobson, 7 h, Ort: Puerto del Pinar, SQM-L 21.5, 7 Objekte''<br>__[[NGC 247]]__, __[[NGC 1300]]__, __[[Eridanus Cluster]]__, __[[HCG 30]]__, __[[HCG 31]]__, __[[NGC 1637]]__, __[[NGC 1788]]__|
|[[5. Nacht / 25.-26.01.|25. Januar 2017 - La Palma]]|''14" Dobson, 7 h, Ort: Puerto del Pinar, SQM-L 21.82, 6 Objekte''<br>Venus, __[[45 P/Honda-Mrkos-Pajdusakova]]__, NGC 1909 - Hexenkopfnebel, __[[HCG 31]]__, __[[NGC 1691]]__, Kohoutek 2-2|
|[[6. Nacht / 26.01.-27.01.|26. Januar 2017 - La Palma]]|''14" Dobson, 9 h, Ort: Puerto de la Losa, SQM-L 21.82, 9 Objekte''<br>__[[M77]]__, __[[NGC 1055]]__, IC 353, __[[NGC 2372]]__, __[[Abell 15]]__, __[[NGC 2419 - Intergalaktischer Wanderer]]__, __[[NGC 2403]]__, __[[IC 2574]]__, __[[Kohoutek 2-2]]__|

Insgesamt sechs Super Nächte. Leider war das Seeing die letzten Tage schlecht bzw. bestenfalls variabel. 

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Lt. meinem Logbuch bin ich dieses Jahr 43 mal beobachten gewesen. Nicht schlecht!

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Circa acht Wochen später wieder La Palma. Der Besuch im Januar war ein Reinfall. Obwohl zwei Nächte sehr klar, konnte ich aufgrund des grottenschlechten Seeings und des starken Windes praktisch nur mit bloßem Auge beobachten. Man gut das ich das Teleskop wieder mit nach Hause genommen hatte, da es wider Erwarten in Deutschland im Februar [[eine gute Beobachtungsnacht|Tiefgekühlt durch die Nacht]] gab. Nun bin ich wieder hier und die Erwartungen sind groß. Etwas länger als eine Woche habe ich Zeit, um den tollen Sternenhimmel zu genießen. Die Beobachtungsliste ist wieder mal lang und ich habe mir auch vorgenommen die ein oder andere Skizze anzufertigen.

Der Flieger ging in Frankfurt wieder gegen 07:45 Uhr los und sollte nach einem Zwischenstopp in Madrid um 14:30 Uhr in La Palma landen. Tut er auch und so gestaltet sich die Weiterreise sehr zügig. Das Wetter ist gut, aber starker Wind auf dem Roque wird vorhergesagt. 
Haben interessanterweise Teneriffa überflogen.

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/16821230412" title="Ohne Titel"><img src="https://farm9.staticflickr.com/8631/16821230412_e1a29e51d5_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Der Teide aus dem Fulgzeugfenster.</div>

Auf dem Teide liegt noch Schnee.

Sonntag ist eine nahezu windstille Nacht angekündigt. Dann soll der Wind wieder zunehmen und ab Dienstag Nacht sind Böen um 60 km/h angesagt.

Mir fehlen noch ein paar Abell in meiner Liste, die ich probieren muss. Listen sind also erstellt und programmiert. Neu ist der Zeichenblock und der noch aus der Schulzeit stammende Kohlestift. 

!!Vier Beobachtungsnächte

Insgesamt habe ich vor acht Nächte zu beobachten. Letztlich verhinderte das Wetter dies teilweise. Insgesamt waren es letztlich vier:

1. [[14. März 2015]]<br>
2. [[15. März 2015]]<br>
3. [[16. März 2015]]<br>
4. [[17. März 2015]]<br>

In den ersten Tagen herschte sehr gutes Wetter.

Am Nachmittag des 18. März beginnt es zu regnen. Die Tropfen sind so groß, dass ich vermute, dass es auf dem Roque bewölkt ist. Und tatsächlich, die Wetterstation zeigt starke Bewölkung an. Temperaturen sind unter 0° Celsius gefallen. 
Der Wetterbericht sagt, dass es morgen so weitergehen soll. Werde heute deshalb nicht hochfahren. Heute gibt's eine Pause.

Doch wieder umentschieden. Aber leider gibt es nur Regen auf dem Roque und Temperaturen bei -1° Celsius. Mit dem Sprühregen schwindet die letzte Hoffnung. Morgen soll nach dem Wetterbericht der Regen weiter gehen. An den Büschen bildet sich Raureif. Ganz schlechtes Zeichen.

Fahre nochmal zur Aussichtsplattform, aber da regnet es und auf der Straße läuft nur so das Wasser. Da es auch hier -0.5° Celsius sind, beschließe ich so schnell wie möglich runterzukommen.

Die restlichen Tage mache ich einige Exkursionen. Die Insel bietet auch abseits der Astronomie einiges.

Die Beobachtungssucht treibt mich wieder auf die Insel. Während in Deutschland zwar sonnige Frühlingstage herrschen, bleibt es aber häufig dunstig. Daher wurde im Anschluss an die letzte Beobachtungsnacht im Pinar de Araceli der Flug nach La Palma gebucht. Der Märznneumond passte in diesem Monat auch sehr gut zum Flugplan.

Früh morgens ging es am 25. März schließlich los. Alles war sicher verstaut und der Wetterbericht sagte klares Wetter aber mit viel Wind vorher. Das bedeutete, dass ich die erste Nacht bereits verplant hatte. Ziel der Exkursion sollte der Galaxienhimmel sein, der im letzten Jahr wegen schlechten Wetter leider nicht so intensiv beobachtet werden konnte. 

<a href="https://www.flickr.com/photos/106029581@N02/13673865774" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm4.staticflickr.com/3672/13673865774_55f807246c_c.jpg"></a>

Beim Mittagessen in Puntagorda wurde die Wetterstationsseite auf dem Roque studiert. Zu meinem Erstaunen war es fast windstill, entgegen der Prognosen. Von Südwesten zogen ein paar dünne Zirren durch, die aber nicht störten. Daher ging es hoch zum Roque. Leider hatten die Prognosen mit dem heftigen Wind recht und als ich wieder runter wollte, checkte ich diverse Parkbuchten unterhalb der Residencia. Hier war es windstill. Also wurde hier schnell aufgebaut. Zwar bemerkte ich das Rauschen der Ginsterbüsche in einiger Entfernung, störte mich aber nicht daran. 

Nach den Sortieren des ganzen Geraffels, war ich etwa zum Einbruch der astronomischen Dämmerung beobachtungsbereit. Schnell wurde M42, der Rosettennebel und Jupiter im neuen Okular bestaunt. Leider war das Seeing sehr, sehr schlecht.  

!!1. Nacht 25.03.2014 - 20:30 Uhr bis ca. 23:30 Roque de los Muchachos (RDLM) & La Podona 0:00 - 02:00 Uhr

+10 Grad Celsius, zeitweise windig, klar aber mit vereinzelten Zirren, SQM-L 21.42 bei Anbruch der astronomischen Dämmerung und 21.62 gegen 23:30 Uhr.

Erstes ernsthaftes Objekt war dann Abell 22. 

''Abell 22'': Sehr schwacher Nebel um einen Stern. Helles Sternpaar weist den Weg. Bereits nach kurzer Beobachtungszeit wird das Glimmen sichtbar. Vergleich mit ähnlich hellen Sternen in der Umgebung zerstreut anfängliche Zweifel. Kann nicht ständig gehalten werden. Zunächst erscheint der Nebel rund. Nach intensiver Beobachtung zeigt sich der Nebel an verschiedenen Stellen unterschiedlich hell und diffus auslaufend. Genaue Form bleibt letztlich unklar. Beobachtung gestaltet sich insgesamt schwierig.

Ab und zu tauchten heftige Windböen aus unterschiedlichen Richtungen auf. Gegen 23:00 Uhr ist dann Schluss. Alles wurde schnell verstaut und dann an der Unterkunft, allerdings mit 2x2 Zoll (10x50), weiter beobachtet. Nochmal das Teleskop aufzubauen, war mir zuviel. Daher habe ich mit dem Feldstecher weitergemacht und mir einige Schaustücke des Galaxienhimmels angeschaut. Irgendwann vielen dann die Augen schließlich immer wieder zu und ich ließ es gut sein und ging ins Bett. Um 04:00 Uhr wurde ich vom draußen tobenden Sturm kurz wach. Am nächsten Morgen dann, war aber alles wieder vorbei. Immerhin gelang es mir den Himmel auf dem Roque mit dem an der Podona zu vergleichen. Innerhalb ca. einer Stunde gelang mir zunächst auf dem Roque eine Messung von 21.62 im Mittel aus drei Einzelmessungen, sowie 21.58 im Mittel ca. 1200m unterhalb. Der Unterschied ist sehr gering und daher vernachlässigbar. 

!!2. Nacht - 26.03.2014 La Podona - 20:30 bis 05:00 Uhr

Am Nachmittag zeigte der Blick auf die Seite der Wetterstation heftigen Wind an. Leider verhieß die Vorhersage für die nächsten Tage auch nichts Gutes. Der starke Wind aus E bis NE sollte auf NW drehen und an Heftigkeit leider nichts verlieren. Zudem sollte er schließlich Wolken herantragen, aus denen es regnen sollte. Na ja, erstmal auf diese Nacht konzentrieren! 

<a href="https://www.flickr.com/photos/106029581@N02/13674979363" title="Untitled by Olivito Piedra, on Flickr"><img src="https://farm8.staticflickr.com/7180/13674979363_89f7d7c1ec_b.jpg"></a>

So blieb ich diesen Abend am Haus und baute außerhalb auf. Der Wind nahm schließlich auch gegen Einbruch der Abenddämmerung ab, aber das Thema hatten wir ja schon mal. Der Mond wird diese Nacht auch erst gegen 04:30 Uhr aufgehen, so dass also genug Zeit blieb. 

20:30 Uhr. Der Nachbar hat seine Außenbeleuchtung an. Um nicht während der Beobachtung geblendet zu werden, mache ich mich auf den Weg, um ihm einen kurzen Besuch abzustatten. Der Mann war leider nicht sehr freundlich und machte keine Zusage das Licht abzuschalten, aber er wolle mal schauen. Immerhin! Als ich wieder am Haus bin, ist das Licht zum Glück aus.

Also konnte es jetzt losgehen. 

20:45 Uhr - La Podona. Leichter Wind aus NO der erheblich zulegen sollte. 15-13 Grad Celsius. Seeing zu Beginn schlecht aber später besser. 

''Abell 22'': Leichter als gestern zu sehen. Wie gestern auch wirkt der Nebel unruhig. Form schwer zu fassen. Bei 168x und OIII-Filter ebenfalls sichtbar, aber keinesfalls besser.

''Abell 24'': Bei 114x und OIII-Filter zeigt sich ein zartes rundes Glimmen um einen sehr schwachen Stern. Nicht ständig zu halten.

''Sh2-308'': Bei 56x und UHC-Filter zeigt sich ein recht großer länglicher Nebelteil abseits eines hellen Sterns. Nebelgebiet lt. Karte deutlich größer. Bei max. AP und 40x etwas besser zu erkennen. Jetzt zeigt sich der Nebel groß und rund wobei die Grenzen beim Übergang zur Wintermilchstrasse unklar bleiben. Hellstes Nebelteil ca. halbes Grad lang. 

''Abell 25'': Leider nicht zu sehen.

Der Wind hat jetzt deutlich zugenommen und pfeift mir um die Ohren. Vorsorglich hatte ich das Auto exakt nordöstlich ausgerichtet und so war es hinter dem Auto am Teleskop erstaunlich ruhig. Wenn der Wind leicht drehte, so war es hier windstill, wobei er dann den Wald auf der gegenüberliegenden Seite der Schlucht so bearbeitete, dass man hin und wieder glaubte, ein Flugzeug sei im Landeanflug... Mit der Zeit gewöhne ich mich aber an die Weltuntergangsgeräuschkulisse, auch wenn ein komisches Gefühl bleibt.

''Abell 33'': Rel. großer und relativ heller Nebel. Schon direkt bei 114x und OIII-Filter sichtbar. Mitte dunkler. Hellere Nebelkante im Westen mit hellerem Stern im Süden direkt auf der Nebelkante  und  weiteren schwächeren Stern westlich. Ohne Filter auch schwach erkennbar. Zentralstern nicht zu erkennen. Wunderbar. Bei 168x nicht mehr so schön!

''Abell 34'': Ähnlich groß wie Abell 33, aber viel schwächer. Rund und ohne Struktur. Am Besten bei 56x und OIII-Filter mit AP 5.6mm. Kein Zentralstern sichtbar.

Die Zangen des Skorpions stehen schon sehr hoch und Antares ist schon seit einiger Zeit über dem östlichen Bergkamm aufgegangen. Daher habe ich den Feldstecher gepackt und den Horizont nach Omega Centauri abgesucht. Und bin gleich fündig geworden...quasi als Vorgeschmack auf die anstehende Namibiareise.

''Omega Centauri'': Steht kurz vor der Kulmination. Bei 56x sehr schön zu sehen. Riesiger ovaler KS. Mitglieder nicht so hell wie man erwarten würde. Nord-Süd-Achse deutlich kürzer. Bei 114x deutlich aufgelöst bis ins Zentrum. Himmelshintergrund ist dunkel trotz des tiefen Standes knapp über dem Horizont. Echtes Highlight. Kann mich kaum vom Okular lösen.

Aus meiner Zeit als Astrofotograf wusste ich noch, dass Centaurus A direkt in der Nähe steht. Also wurde der Horizont abgescannt und nach kurzer Zeit, war sie gefunden.

<a href="https://www.flickr.com/photos/106029581@N02/10648258076" title="omega_centauri by Olivito Astro, on Flickr"><img src="https://farm6.staticflickr.com/5472/10648258076_90cf5f766f_z.jpg"></a>

''Centaurus A'': Helle runde Galaxie mit deutlichem Dunkelband. Sieht ein bisschen wie ein Fischmaul aus. Sonst, abgesehen vom Dunkelband, welches die runde Gx mittig teilt, sind noch ca. Zwei relativ helle Vordergrundsterne zu sehen. Am Ende des Dunkelbandes zeigt sich mittig ein Teil des hellen Galaxienkerns, der das Dunkelband teilt.

Auf dem Weg zu Abell 35, noch schnell M68 eingestellt. 

''M68'': Im Vergleich zu Omega Centauri ein Zwerg. Bei 114 ist nahezu ein runder KS zuerkennen, der bis ins Zentrum aufgelöst wird. Zeigt in den Außenbereichen Ansätze kurzer Arme. Wirkt hier etwas ausgefranzt.

''Abell 35'': Sehr großer schwacher und runder Nebel um hellen Stern. Dieser stört aufgrund seiner Helligkeit die Beobachtung. Im Nebel in Randnähe weiterer schwächerer Stern sichtbar. In der Nähe des ZS hellere längliche Strukturen erkennbar.

''Abell 36'': Ähnlich schön wie 35. Großer und diffuser auslaufender Nebel um relativ hellen Stern. Wirkt unruhig. Ovales längliches Dunkelband abseits der Mitte ist zu erkennen, dass in Nord-Süd-Richtung verläuft. 

Ich bin jetzt schon ein wenig platt und so versuche ich dennoch Abell 38.

''Abell 38'': Bei 114x und OIII-Filter ist an der richtigen Stelle leider nichts zu erkennen. Mir fehlt jetzt zu dieser späten Stunde die Geduld und so schaue ich nur kurz. Vom Nebel ist aber nichts zu erkennen.

''Abell 39'': Ewig wg. richtiger Position rumgesucht. Dann mit Starhopping gefunden. Echtes Highlight zum Abschluss. Bei 114x und OIII-Filter zeigt sich ein kreisrunder relativ einfach zu erkennender Nebel. Mitte erscheint nach kurzer Zeit immer wieder dunkler, so dass sich eine Ringform zeigt. Auf dem Nebelrand ist ein Stern zu erkennen. Blickweise zeigen sich mit Filter immer wieder schwache Sterne im Nebelgebiet. Zentralstern ist aber nicht zu erkennen. 

Der Mond war mittlerweile aufgegangen und ließ die ebenfalls im Osten bereits aufgegangene Sommermilchstraße blasser werden. Dass SQM-L quittierte dies brav mit 21.43 im Zenit, weit entfernt von den 21.60 um 00:50 Uhr. Gegen 05:30 Uhr und kurz vor der astronomischen Dämmerung bin ich total breit und nach einem Weißwein falle ich zufrieden in mein Bett. Die Luftfeuchte ist sehr niedrig. Die Lippen beginnen bereits aufzuplatzen und die Klamotten sprühen mächtig Funken beim Ausziehen.

Am nächsten Morgen wird erstmal bis Mittag ausgeschlafen. Der Wetterbericht verheißt wie gestern leider nichts Gutes. Regen und sogar Schnee in Höhenlagen ab 2000m sind angekündigt. Dazu passt die Vorhersage, dass der Wind wieder zulegen soll und auf dem Roque sogar stärker als gestern wehen wird. Leider sind für den Rest der Woche die Vorhersagen nicht besser. Der Wind soll uns noch länger auf Trapp halten. Am Nachmittag wird es spürbar kälter. Die [[ING-Wetterstation|http://catserver.ing.iac.es/weather/index.php?view=graph]] zeigt schonmal vorsorglich fallenden Luftdruck an. Ok, dass passt dann ja auch perfekt zur Vorhersage. Überlege kurz, ob ich nicht doch hochfahren soll. Denn Richtung NW bauen sich schon die ersten Wolken auf und die Luftfeuchte scheint auch schon zu steigen. Aber irgendwie habe ich keinen Bock und bleibe in der Sonne sitzen. 
Es kommen vereinzelt Zirren aus NW auf. Kurz vor Sonnenuntergang werden sie kompakter. Sind schön anzusehen. Beschließe erstmal abzuwarten und nicht aufzubauen. Wer weiß, wie sich das Ganze noch entwickelt. Es ist auf jeden Fall kalt und recht unangenehm.
Habe versucht den Ofen anzumachen, aber er geht wieder aus. Na ja, es gibt ja im Notfall auch eine elektrische Heizung.

!!3. Nacht - 27.03.2014 La Podona von 20:45 - ca. 21.30 Uhr

Nach den dichten Zirren war ich unsicher, ob ich aufbauen sollte. Aber bekanntlich ist ja Beobachtungszeit teuer und so wurde doch schnell alles aufgebaut. Zum Sonnenuntergang wurde nochmal so richtig aufgedreht und die umliegende Landschaft in zauberhaftes Licht getaucht. Pünktlich zur astronomischen Dämmerung war ich bereit und als erstes Objekt war zunächst M42 dran. Dabei fiel mir, trotz des niedrigen Standes, das sehr gute Seeing auf. Also wurde als nächstes Jupiter angeschaut und in der Tat, das Seeing war hervorragend. Der Planet zeigte sich bei ca. 300x blickweise mit vielen Details. Nach einer halben Stunde schauen, sollte der Beobachtungsabend richtig losgehen. Als nächstes stand Sh2-307 auf der Beobachtungsliste. Ausgehend von M46 & M47 sollte das Objekt eingestellt werden. Beide Sternhaufen sahen, übrigens trotz der hohen AP, recht gut aus. Der Himmelshintergrund keineswegs zu hell. Doch dann schien er immer heller zu werden und als ich nachschaute war der Himmel von einer dünnen Nebelschicht überzogen. Dann war mir alles klar. Die Wolken tauchen bereits jetzt als Nebelbänke auf! Und tatsächlich: Schnell hüllte sich die Umgebung geradezu gespenstisch in einen diffusen hellen Mantel. Panik bricht aus. Ich muss schnellstens abbauen um zu verhindern, dass die Spiegel beschlagen. Schnell und hastig wird abgebaut und alles notdürftig verstaut. Nach 5-10 Minuten ist alles abgebaut und der Nebel wieder weg. Jetzt wurde noch ein wenig mit dem Feldstecher geschaut und insgeheim an der Entscheidung (nicht auf den Roque zu fahren) gezweifelt. Später dann kamen in neuen Wellen wieder Wolken und Nebel, so das gegen 23:00 Uhr endgültig Schluss war und ich kurze Zeit später im Bett war. P.S.: Auf dem Roque fielen die Temperaturen bei Einbruch der Dämmerung auf unter Null Grad Celsius. Die Luftfeuchte stieg lt. der Wetterstation zwar erst um 02:00 Uhr deutlich an, aber dann war da auch Schluss.

Am nächsten Morgen war es draußen nass und wenig später setzte, exakt wie vorhergesagt, schauerartiger Regen ein. Der Tag begann also richtig trüb und für mich blieb nicht viel zu tun. Nach einem Besuch in Puntagorda sah es auf der Wetterseite des ING nicht besser aus. Nachmittags hörte zumindest der Regen auf und die Sonne zeigte sich blickweise. Es war zum Heulen. Per EMail trudelten die ersten Beobachtungsaufrufe zuhause ein. 

Zum Glück besserte sich das Wetter und der Regen hörte auf. Sofort war mir klar, dass es heute unbedingt auf den Roque gehen wird. Zum Sonnenuntergang traf ich ein und staunte nicht schlecht über die Eiszapfen an Felsen und Büschen. 

<a href="https://www.flickr.com/photos/106029581@N02/13671254975" title="IMG_3558 by Olivito Piedra, on Flickr"><img src="https://farm8.staticflickr.com/7384/13671254975_3368a02f88_b.jpg"></a>

Und oben sah es dann so aus:

<a href="https://www.flickr.com/photos/106029581@N02/13673875664" title="Untitled by Olivito Piedra, on Flickr"><img src="https://farm8.staticflickr.com/7326/13673875664_a60acd2004_c.jpg"></a>

Es wehte ein böiger Wind aus NW, der aber weiter unten aus NE kam. Schnell wollte ich die Lage an der Aussichtsplattform checken und traf dort auf Gleichgesinnte und auf einen langjährigen Beobachtungsfreund. Die Dämmerung hätten bereits eingesetzt und so beschloss ich aufgrund des leicht böigen Windes unterhalb der Residencia aufzubauen. Dieser neue Beobachtungsplatz bietet eine sehr gute Rundumsicht. Auch der Blick nach Süden ist gut.

!!4. Nacht - 29.03.2014 Roque de los Muchachos (RDLM) 20:30 - 06:00 Uhr

Leichter Wind aus NO, der sich nach Mitternacht komplett legt. Temperaturen waren knapp über Null sollten aber leicht fallen.

Die Bedingungen waren leider nicht optimal. Die Luftfeuchte war hoch, so dass im Laufe der Nacht alle Scheiben nass wurden und nach den unter Null fallenden Temperaturen später ein Eispanzer das Auto überzog. Während der Nacht zogen sehr dünne Zirren durch, so dass nur SQM-L Werte um 21.48 möglich waren. Immerhin der Fangspiegel war stets frei und so musste nur einmal das Okular durch Aufwärmen in der Tasche von der Feuchtigkeit befreit werden.

Erstes Objekt ist ''Abell 27'': Glaube ein sehr schwaches Glimmen um einen sehr schwachen Stern auszumachen. Kann nur blickweise und nach intensiven Beobachten hin und wieder erahnt werden. Im und um Nebelgebiet sehr schwache gefährliche Sterne, die immer wieder einen nebligen Eindruck vortäuschen. Letztlich bin ich mir unsicher. Daher: Nicht gesehen!

Unten ich schätze in Garafia dröhnt Salsa Musik den Berg. Obwohl bestimmt zwei km entfernt, kann man sie so gut hören, dass ich einzelne Stücke erkenne.

Nun will ich mir eine Reihe von Standardobjekten anschauen. Hier die Liste: ''M81 & 82'', ''M105'' (bildet schönes Trio mit ''NGC 3373 & 3384'').
''Abell 1367 Galaxienhaufen'': Viele auf großem Feld verstreute Galaxien. Beeindruckend!

Anschließend geht es weiter mit ''M51'', ''M101'', ''M97'' & ''M108''. Anschließend geht es in die ''Markarien Galaxienkette''.

Dass Seeing ist leider nicht so gut. Mars zeigt leider keine Details. Der Himmel ist milchig und beim Beobachten fallen mir Höfe um Sterne auf. Zunächst vermute ich das Problem beim Fangspiegel. Aber der war nicht Schuld. Offenbar zogen Zirren durch. Das passt auch zum milchigen Eindruck. 
Mittlerweile war es schon 3 Uhr morgens. Es näherten sich mehrere Autos. Das scheinen wohl die Kollegen zu sein, die sich wohl auf den Heimweg gemacht hatten.

''Abell 43'': Bereits bei 56x im Übersichtsokular ohne Filter zeigt sich ein relativ kleiner Nebel. Typischer Abell. Bei 114x und OIII-Filter sogar direkt zu sehen. Erinnert mich ein bisschen an Abell 2. Im Nebel blitzen ca. drei schwache Sterne auf, die ein kleines gleichschenkliges Dreieck bilden. Bei 168x und OIII-Filter zeigen sich keine weiteren Strukturen. 

Etwas übermütig beschließe ich nochmal Abell 38 zu versuchen. Der Nebel steht mittlerweile optimal im Süden. 

''Abell 38'': Das Zielgebiet ist schnell gefunden. Nach langer Beobachtungszeit und Wechsel zwischen 56x und 114x und sogar Einsatz eines UHC-Filters zeigt sich bei 114x und OIII-Filter sich blickweise ein sehr schwacher Nebel direkt südlich eines relativ hellen Sterns. Das Nebelgebiet wird etwa durch zwei Sterne begrenzt, die mit dem helleren ein fast gleichseitiges Dreieck bilden. Der Nebel ist damit etwas größer als der zuvor beobachtete Abell 43, der im direkten Vergleich geradezu einfach gesehen werden kann. Es lag keine Detailkarte oder Fotografie vor, so dass ich eine kleine Skizze machte und diese später mit der POSS-Karte verglich. Größe und Ort stimmten mit dieser überein. Schwerster bisher gesehener Abell! 

Zum Schluss dieser Nacht stand der Skorpion im Süden und die Sommermilchstraße war schon gut zu erkennen. Zum Abschluss wurde ''NGC 6302'' eingestellt. Es zeigt sich bei 290x eine sehr helle liegende Acht, wobei eine Seite etwas länger erscheint, wobei dieses Ende ausgefranst oder durch einen Dunkelnebel abgetrennt zu sein scheint. Sehr helles Objekt.

Leider geht auch diese Nacht zu Ende. Ich sehe schon die Profis mit den Taschenlampen ihren Arbeitsplatz verlassen. Etwas früh, wie ich finde. Nach ein bisschen Schauen im Skorpion, war die helle Taschenlampe weiter hoch gestiegen. Irgendwann begriff ich, dass dies Venus sein musste. Und tatsächlich zeigte sich im Teleskop, dass es der helle Planet war. Er zeigt sich mit einer Phase von ca. 50-60%. Die Dämmerung zeigte sich in Form der charakteristischen Aufhellung am Osthorizont. Es war mittlerweile kurz vor sechs Uhr und ich packte meine Sachen zusammen. Gegen 06:15 mache ich mich auf den Weg. Ach so, heute Nacht wurde ja die Uhrzeit geändert. Ähhm, also um 07:15 WEST machte ich mich auf den Weg, oder um 06:15 UT. 

Der folgende Tag versprach viel versprechend zu werden. Am Nordwesthorizont zogen die Zirren ab und es zeigte sich ein klarer Himmel mit einigen Schönwetterwolken. Gegen Nachmittag kamen aber Wolken aus Südwesten herangezogen. Auf dem Roque war es schließlich wolkenverhangen und damit war diese Nacht gestrichen.

<a href="https://www.flickr.com/photos/106029581@N02/13671198065" title="IMG_3609 by Olivito Piedra, on Flickr"><img src="https://farm8.staticflickr.com/7451/13671198065_b772110b55_b.jpg"></a>

<a href="https://www.flickr.com/photos/106029581@N02/13674902254" title="Untitled by Olivito Piedra, on Flickr"><img src="https://farm3.staticflickr.com/2900/13674902254_77a1573a5a_b.jpg" ></a>

Leider brachte der nächste Tag keine Besserung und so zog der nächste Sturm auf. Auf dem Roque ging es schon am Abend richtig los. Später auch an der Unterkunft und als ob sich der Himmel nochmal versöhnen wollte, klarte es für ca. 1.5 h nochmal auf. Ein letzter Blick auf die untergehende Wintermilchstraße und der Besuch einiger heller Objekte mit dem Feldstecher. Der Wind nahm weiter stark zu, so dass ich kaum zum Schlafen kam.

Die Story ist aber damit noch nicht zu Ende. Am nächsten Tag war der Wind auch so stark, dass der Rückflug ausfiel.

Hier noch ein [[paar Fotos|https://www.flickr.com/photos/106029581@N02/sets/72157643736672614/]] zu schmökern:

<iframe src="https://www.flickr.com/photos/106029581@N02/13674952424/player/" frameborder="0" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33820672775/in/datetaken-public/" title="Pano Water"><img src="https://c1.staticflickr.com/4/3852/33820672775_2c7fb7c2e4_k.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Es ist bereits das vierte Mal, dass ich nun im März auf La Palma beobachte. In den letzten Jahren war das Wetter häufig wechselhaft und so habe ich nicht die besten Erinnerungen an diese Aufenthalte. Diesmal ist zumindest die Vorhersage fast optimal. Nur für eine Nacht sind bereits dichte Wolken vorhergesagt. Die erste Nacht wird bereits ein Brett: Der Mond geht erst um 5:30 Uhr auf, so dass die komplette Nacht genutzt wird.

Beim Abholen des Mietwagens habe ich einen lieben Mitbeobachter wieder getroffen. Wir saßen wohl offenbar im selben Flieger. Als wir uns im Januar trafen, wussten wir bereits, dass wir zur gleichen Zeit wieder hier sein werden. Schön sich auch mal bei Tageslicht zu sehen. Wir haben uns dann wenige Tage später wieder zufällig auf dem Roque [[getroffen|27. März 2017 - La Palma]].

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 24.-25.03.|24. März 2017 - La Palma]]|''14" Dobson, 4 h, Ort: Llanos de las Animas, SQM-L 21.7, 2 Objekte''<br>__[[Kohoutek 3-94]]__, Doppelquasar - QSO 0957+561 A/B|
|[[2. Nacht / 25.-26.03.|25. März 2017 - La Palma]]|''14" Dobson, 9 h, Ort: Llanos de las Animas, SQM-L 21.92, 5 Objekte''<br>__[[NGC 3079]]__, IRAS 09371+1212 - Frosty Leo, __[[HCG 57 - Copeland's Septett]]__, __[[Jupiter]]__, __[[Palomar 5]]__|
|[[3. Nacht / 27.-28.03.|27. März 2017 - La Palma]]|''14" Dobson, 8 h, Ort: Roque de los Muchachos, SQM-L 21.92, 4 Objekte''<br>__[[IRAS 09371+1212 - Frosty Leo]]__, __[[NGC 3079]]__, __[[HCG 70]]__, NGC 4449|
|[[4. Nacht / 28.-29.03.|28. März 2017 - La Palma]]|''14" Dobson, 7 h, Ort: Roque de los Muchachos, SQM-L 21.92, 4 Objekte''<br>__[[UGC 5373 - Sextans B]]__, __[[HCG 44]]__, __[[NGC 3718]]__, __[[HCG 56]]__, __[[NGC 4631 - Walfisch Galaxie]]__|
|[[5. Nacht / 31.-01.04.|31. März 2017 - La Palma]]|''14" Dobson, 3 h, Ort: Roque de los Muchachos, SQM-L 21.63, 3 Objekte''<br>//Äusserer Halo von NGC 3242 - Jupiter's Geist//, __[[HCG 53]]__, __[[HCG 54]]__|

Die durchwachsenen Nächte gehen schließlich mit heftiger Calima zu Ende. Trotzdem wieder schön hier gewesen zu sein. Das [[Hickson Projekt|Hickson Galaxiengruppen]] ist mittlerweile doch schon ganz ansehnlich geworden, was die Anzahl der Beobachtungen angeht.

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im März & April 2019 auf Tivoli mit meinem 14 Zoll Dobson gezeichnet habe:

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Ursprünglich sollte es im November letzten Jahres zum Neumond nach La Palma gehen. Dies verhinderte allerdings das Wetter.  So wurde alles auf Januar verschoben. Samstag ging es mit Iberia von Frankfurt über Madrid nach La Palma. Ich habe mich diesmal bewusst für Iberia entschieden, da Condor nur dienstags fliegt. Außerdem kann man bei Iberia für lediglich 60 € einen zusätzlichen Koffer mit einem Gesamtgewicht von 23 Kilo mitnehmen. Darüber hinaus ist ein Handgepäckstück erlaubt, aber ohne Gewichtsbegrenzung!
In Frankfurt ging es schließlich Samstag früh um 7:50 Uhr mit dem Flieger los. 2 Stunden später war ich in Madrid und nach einem kurzen Aufenthalt ging es gegen Mittag weiter nach La Palma.
die Wettervorhersage war im Vorfeld etwas durchwachsen. Kräftiger Wind und Wolken sind vorhergesagt. Ob es auch auf dem Roque wolkig sein würde, war im Vorfeld natürlich unklar.

Zwei Tage vor Abfahrt wurde mir schließlich mitgeteilt, dass aufgrund eines technischen Problems das ursprünglich gemietete Haus El Colmenero nicht zur Verfügung stehen wird. Ich wurde umgebucht auf die Podona, wo ich bisher viele meine Aufenthalte verbracht hatte.

Alles lief zunächst perfekt: Der Flieger kam eine halbe Stunde früher als geplant an. Ich verließ den Flughafen mit Mietwagen ca. 15 min nach dem Aussteigen usw. Die Wetterseite zeigte auf dem Roque Wind an, aber angeblich nur in den Höhenlagen. Als ich zum Sonnenuntergang oben war die Ernüchterung: Es war sehr windig! Also wieder runter. 

<a href="https://www.flickr.com/photos/106029581@N02/16334015595" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7524/16334015595_c76abdd92a_z.jpg"></a>

Unten am Haus aufgebaut. Dann war das Seeing so schlecht, dass selbst bei 56 fach sich die Sterne nicht scharf stellen ließen. Also wurde erstmal fotografiert. Dann habe ich mir den Kometen ''Lovejoy'' angesehen: Schon mit bloßem Auge zu erkennen. Steht unweit der Plejaden fast im Zenit. Im Feldstecher gut zu erkennen. Im Teleskop besser. Große fast Runde Koma diffus auslaufend. Stellarer heller Kern und Schweif der über 2-3 Grad gut zu verfolgen ist.

<a href="https://www.flickr.com/photos/106029581@N02/15721162314" title="  by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7553/15721162314_04c0f9dcbb_z.jpg"></a>

Das Zodiakallicht ist hervorragend zu sehen. Der Himmel sehr transparent. 

Anschließend mal zum Einstieg Abell 2. War zwar zu erkennen, aber schwierig. Die umliegenden Feldsterne hätten manchmal auch das Zeug gehabt als Abell 2 durchzugehen, so schlecht war das Seeing. Hin und wieder habe ich mal wieder geschaut, aber leider nichts. Zum Spaß mal Jupiter. Eine runde, leicht ovale Fläche. Von den markanten Wolkenbändern keine Spur.

Ich hatte praktisch nur "kleine" Sachen vorbereitet. PN's und nur wenig großflächiges. Aber da waren diese Zwerggalaxien. Also ''Leo I'' eingestellt: Kurz nach dem Einstellen von Regulus schnell bei 56 fach gesehen. Gross, oval und diffus auslaufend. Zum Zentrum hin ganz leichte Helligkeitszunahme. Recht einfach! Vor zwei Jahren hatte ich mir da einen abgebrochen.

Weiter zu ''Leo II'' um 02:15 UT: Recht einfach aufzufinden. Nach mehrmaligen intensiven Beobachten zeigt sich an der richtigen Stelle blickweise ein diffuses grosses Glimmen. Kann aber auch von den Feldsternen kommen. Ist daher sehr unsicher. Erneute Beobachtung nach Pause abgebrochen. Es ziehen immer wieder Wolken durch, die die Beobachtung behindern. Nicht gesehen.

Diese Nacht war ein Reinfall. Mit der Kamera gelangen mir allerdings schöne Aufnahmen. Die Transparenz war übrigens hervorragend, obwohl das SQM-L nur Werte um 21.5 anzeigte. 

<a href="https://www.flickr.com/photos/106029581@N02/16777406048" title="pano2 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8711/16777406048_7e8c3fe62e_z.jpg" alt="pano2"></a>

Die Profis am ING vermerkten im Log, dass das Seeing zwischen 1-2" gelegen habe und die Nacht super war ??? Gegen 03 Uhr morgens zogen dann immer mal wieder tiefe Wolken durch und es war wohl die Zeit gekommen alles abzubauen. 
Die zweite Nacht war eine Enttäuschung. Am späten Nachmittag kam bereits Regen auf, der schließlich auch die Höhenlagen des Roque kurz vor Sonnenaufgang erreichte. Dann fing es auch hier an zu regnen. Es scheint sogar noch schlechter als im November zu laufen. Im Nachhinein gab es da 1,5 klare Nächte. Ich bin plötzlich totmüde und könnte sofort schlafen, was ich auch tue. Die Nacht regnete es durch. Gegen 06:00 Uhr aufgewacht und einen Blick nach draußen geworfen. Durch die milchige Wolkendecke waren die Zangen des Skorpions sehr schön zu sehen. Dann weiter geschlafen. Gegen 10 Uhr aufgestanden. Intensiver Nieselregen. Heute letzter Tag. 

Tagsüber Regen und Wind ohne Ende. Das wird nichts mehr. Morgen geht's schon wieder heim.
Gegen Abend hörte der Regen auf. Es klarte sogar wunderbar auf. Der Wind war allerdings noch heftig. Daher Teleskop verstaut und Koffer schon gepackt. Wind nimmt bei Sonnenuntergang noch deutlich zu. Ob der Flug morgen stattfindet ?

Trotz des Windes finde ich nochmal raus, um ein paar Nachtaufnahmen vom wunderbaren Sternenhimmel zu machen. 

<a href="https://www.flickr.com/photos/106029581@N02/16341932371" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7550/16341932371_c0756debb7_z.jpg"></a>

<a href="https://www.flickr.com/photos/106029581@N02/16318011026" title="  by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8584/16318011026_dc2a3762c0_z.jpg"></a>

Am nächsten Morgen hatte der Wind etwas nachgelassen. Ich packe meine restlichen Sachen zusammen und fahre los.

Der Flieger war fast leer. Pünktlich ging es zunächst nach Madrid und dann weiter nach Frankfurt.

Die folgende Tabelle zeigt die Auflistung der beobachteten Objekte pro Tag. Objekte, die ich gezeichnet habe, sind unterstrichen und entsprechend verlinkt. //Kursiv// gedruckte Objekte konnte ich nicht sehen.

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 31.12.-01.01.|31. Dezember  2015 - Roque de los Muchachos]]|''14"  Dobson, ca. 4 h, 4 Objekte''<br>IC 5076, __[[IC 59 & 63]]__, Rosettennebel, M42 - Orionnebel|
|[[2. Nacht / 01.-02.01.|1. Januar 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 5 h,  3 Objekte''<br>__[[IC 5076]]__, __[[Abell 80]]__, NGC 2264 - "Cone"-Nebel|
|[[3. Nacht / 02.-03.01.|2. Januar 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 6 h, SQM-L 21.4, 3 Objekte''<br>__[[Abell 73]]__, __[[M33]]__, __[[UGC 3573]]__|
|[[4. Nacht / 03.-04.01.|3. Januar 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 7 h, 6 Objekte''<br>__[[IC 1613|IC 1613 mit 14 Zoll]]__, NGC 2392 - Eskimonebel,  Rosettennebel, //Abell 14//, Sh2-308, C/2013 US10 (Catalina)|
|[[5. Nacht / 04.-05.01.|4. Januar 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 8.5 h, SQM-L 21.6, 6 Objekte''<br>__[[Abell 194]]__, __[[NGC 2392 - Eskimonebel]]__, __[[IC 418 - Spirographennebel]]__, __[[Purgarthofer 1]]__, EGB 4, Jupiter|
|[[6. Nacht / 05.-06.01.|5. Januar 2016 - La Podona]]|''14" Dobson, ca. 9.5 h, SQM-L 21.6, 5 Objekte''<br>__[[M42 - Orionnebel & NGC 1975]]__, //RCW 3//, //GUM 12//, NGC 2626, IC 2177|
|[[7. Nacht / 06.-07.01.|6. Januar 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 10.5 h, SQM-L 21.6, 7 Objekte''<br>__[[IC 2149]]__, __[[Sh2-261 - Lower's Nebel]]__, NGC 2626, M1 - Krebsnebel, __[[NGC 2440 - Insektennebel]]__, __[[C/2013 US 10 (Catalina)]]__ & NGC 5466|
|[[8. Nacht / 07.-08.01.|7. Januar 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 10.5 h, SQM-L 21.84, 14 Objekte''<br>__[[NGC 80-Gruppe]]__, //Abell 5//, __[[Abell 83]]__, __[[NGC 1499]]__, M97 - Eulennebel, __[[Abell 29]]__, C/2013 US10 (Catalina), Jupiter|
|[[9. Nacht / 08.-09.01.|8. Januar 2016]]|''Bewölkt''|
|[[10. Nacht / 09.-10.01.|9. Januar 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 10.5 h, SQM-L 21.72, 5 Objekte''<br>__[[Abell 83]]__, __[[NGC 2174]]__, //Abell 28//, NGC 2268, "auf dem Horizont liegende Milchstraße"|
|[[11. Nacht / 10.-11.01.|10. Januar 2016 - Roque de los Muchachos]]|''14" Dobson, ca. 10 h, SQM-L 21.6, 15 Objekte''<br> __[[Abell 86]]__, NGC 2355, Abell 21, //Ellis 6//, M68, Antennengalaxien, M95, M105, Markarian's Chain, NGC 3016, M81 & 82, Abell 1656, NGC 4550/51|
|!11 Nächte|!Gesamtbeobachtungszeit 82 h, 57 Objekte beobachtet (z.T. mehrfach), davon __[[23 gezeichnet|La Palma Jan 2016 - Zeichnungen]]__|

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Januar 2016 auf La Palma gezeichnet habe:

<div class="tc-link-info">

<$list filter="[tag[La Palma Jan 2016]] +[!sort[created]limit[30]]">

<div class="tc-link-info-item">

!<$link><$view field="title"/></$link>

<div class="tc-subtitle">Posted <$view field="created" format="relativedate"/></div>

<$transclude/>

</div>

</$list>

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/z4b0uM" title="Zodiakallicht_Garafia"><img src="https://live.staticflickr.com/65535/49455246833_7fdc1cbfff_h.jpg" alt="Zodiakallicht_Garafia"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Zodiakallicht, Venus (oben) und junge Mondsichel (unten) über Garafía am Abend vor der Rückreise.</div>

!Am Wochenende geht es los...

Los geht es diesmal an einem Samstag. Am 18. Januar steige ich ins Flugzeug und fliege über Madrid nach La Palma. Wetteraussichten sind gut. Leider entwickelt sich im Mittelmeer ein mächtiges Tiefdruckgebiet, das später in den Golf von Cádiz zieht. Damit ist es zwar von den kanarischen Inseln weit genug entfernt, aber das Azorenhoch verdrängt es dennoch. Es verlagert sich nach Norden und bildet ein riesiges Hoch über Mitteleuropa, was auch dazu führen wird, dass es mindestes zwei exzellente Nächte auf der Wasserkuppe geben wird.

Ich beobachte das Wetter auf La Palma schon eine ganze Weile. In den letzten Jahren hat der Alisio stark zugelegt. Nächte mit wenig Wind und damit gutem Seeing sind seltener geworden. Warum dies so ist, weiß ich leider nicht. Vor bereits 15 Jahren wurde spekuliert, dass sich das Azorenhoch nach Osten verlagern würde, tatsächlich ist es nach Norden gewandert. Das führt wiederum dazu, dass auf den Kanaren die Tiefdruckgebiete ausbleiben, und sich die Inseln mit dem Nieselregen des Alisio zufriedengeben müssen. Dieser lässt den Norden der Inseln mit entsprechendem Bergland ergrünen. Im Rest der Inseln regnet es dagegen kaum. 

!!Anreise

Der Flug geht an der afrikanischen Westküste entlang. Man sieht ein Gebirge mit Schnee in den Gipfellagen. Dann kommen die kanarischen Inseln in den Blick. Zunächst Fuerteventura, dann Gran Canaria (?) ... schließlich überfliegen wir Teneriffa und ich habe kurz Angst im falschen Flieger zu sitzen. Geht es vielleicht doch nach Teneriffa? Dann sagt der Flugkapitän zum Glück aber, dass es nach La Palma ginge und wir gleich da seien. Ufff!

Im Januar geht die Sonne hier um schon um 18:45 Uhr unter. Selbst wenn ich dann gegen Mittag in Sta. Cruz de la Palma ankomme, schaffe ich es zum Roque erst zur Dämmerung. Denn zunächst steht eine fast zweistündige Fahrt in den Nordwesten auf dem gegenüberliegenden Teil der Insel an. Dann das Teleskop und den Spiegel montieren. Das Haus beziehen und schon geht es los. Dann ist meist schon Sonnenuntergang. Aber das ist gut so. Besser als im Sommer bis gegen Mitternacht auf den Einbruch der astronomischen Dämmerung warten. Die beginnt im Sommer schon kurz nach halb acht.

Der Januar ist gem. meiner eigenen Statistik der stabilste und beste Wintermonat, was das Wetter anbelangt.

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 18.-19.01.|18. Januar 2020 - La Palma]]|''14" Dobson, 6 h, Ort: Roque de los Muchachos, SQM-L 21.7, +10 °C, 2 Objekte''<br> __[[NGC 7497 & MBM 54]]__, __[[M81]]__|
|[[2. Nacht / 19.-20.01.|19. Januar 2020 - La Palma]]|''Fotokamera mit Fisheye, 11 h, Ort: El Colmenero, ca. +8 °C Celsius, 4 Objekte''<br>//Keine Beobachtung. Hohe Wolken ziehen durch//, __[[All Sky Timelapse des Nachthimmels|Nachthimmel über Garafía (La Palma)]]__|
|[[3. Nacht / 22.-23.01.|22. Januar 2020 - La Palma]]|''14" Dobson & Fotokamera, ca. 3 h, Ort: Roque de los Muchachos, SQM-L 22.0, +0 °C, 1 Objekt''<br>__[[M81]]__ & M82, __[[All Sky Aufnahme|All Sky Fisheye Tracked - Roque de los Muchachos]]__, __[[Mosaik der Orion Region mit 56mm (85mm im Vollformat)|Orion Digital Deep Field]]__, __[[Mosaik des Sternbilds Fuhrmann mit 56mm (85mm im Vollformat)|Das Sternbild Fuhrmann]]__|
|[[4. Nacht / 23.-24.01.|23. Januar 2020 - La Palma]]|''14" Dobson, 6 h, Ort: Roque de los Muchachos, -2 °C, 1 Objekt''<br>//keine Beobachtung möglich wegen Wolken//, Foto mit Nachthimmel über der Caldera de Taburiente|
|[[5. Nacht / 24.-25.01.|24. Januar 2020 - La Palma]]|''14" Dobson, 6 h, Ort: Weinberge über Puntagorda, +4 °C, 1 Objekt''<br>IC 446|
|[[6. Nacht / 25.-26.01.|25. Januar 2020 - La Palma]]|''Fotokamera & Feldstecher & bloßes Auge, 9 h, Ort: Roque de los Muchachos (ORM), SQM-L 22.1, +2 °C''<br>__[[Zodiakallicht & Wintermilchstraße|All Sky Panorama - Gipfel des Roque de los Muchachos]]__, Lichtverschmutzung von Teneriffa und El Hierro, Gegenschein und Lichtbrücke, viele Fotos|
|!6 Nächte|!Viele Erlebnisse & viele [[Fotos|https://www.flickr.com/gp/106029581@N02/996xc4]]|

Insgesamt bin ich auf vier Nächte gekommen. Eine der schlechtesten La Palma Exkursionen überhaupt. Trotzdem bin ich froh. Den Dobson hätte ich getrost zuhause lassen können. Beobachtet habe ich mit ihm kaum. Dafür standen - auch wegen des Wetters - das Erlebnis und die Beobachtung mit dem bloßen Auge im Vordergrund. Der Himmel über La Palma ist immer noch der dunkelste Himmel, den wir von Europa aus schnell erreichen können. Highlight war der „Besuch“ des Gipfels und die Beobachtung einer fast ganzen Nacht (__[[6. Nacht / 25.-26.01.|25. Januar 2020 - La Palma]]__) dort oben. Magisch!

!!El Colmenero 

Wunderschönes und geräumiges Landhäuschen. Gut zu erreichen. Dennoch etwas „hakelig“, da von der Hauptstraße doch weiter weg. Da ist man mit der [[La Podona]] verkehrstechnisch besser bedient. Trotzdem absolut sehenswert und zu empfehlen. Wunderschön gelegen. Dunkel. Eine Laterne in Sichtweite, aber voll abgeschirmt und nicht störend. Nachbarn ohne Außenbeleuchtung, jedenfalls als ich da war.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9S4Cfn" title="DSC03233"><img src="https://live.staticflickr.com/65535/49453187003_75fc2959e6_k.jpg"></a>

!!La Palma ist eine andere Welt...

Das Haus ist mitten in Garafía gelegen und bis zum nächsten Nachbarn sind es keine 50m. Dennoch ist es tagsüber ruhig, aber nicht ruhig im Sinne von leer. Ab und zu Stimmen. Menschen sehe ich selten. Eine Art Ruhe und Zusammenleben, wie ich es aus der Großstadt nicht kenne. Als ich ankam, fuhr ich auf die Westseite der Insel und sah im Süden bestimmt 5-8 Paraglider. La Palma bietet für jeden etwas und im Norden ist Ruhe angesagt. Überall gibt es kleine Rückzugsorte, manchmal Baracken, manchmal kleine, schöne Häuschen. Hier schafft sich jeder seine eigene Welt. Und für uns Hobbyastronomen ist das ein kleines Paradies. Kaum Straßenlaternen - verglichen mit Sternenparks wie der Wasserkuppe - einfach ein Witz, denn hier braucht man sowas kaum. Klar, die Nachbarn haben auch mal helleres, modernes LED-Weißlicht. Das kommt aber nur zum Einsatz, wenn jemand in der Dunkelheit kurz raus muss. Sonst ist es dunkel. Niemand nutzt hier Bewegungsmelder. Und ich habe meine Bodenleuchten einfach abgeschaltet. Ich brauche sowas, wie die meisten hier, nicht. Offenbar sind sie für die Gäste installiert worden. Trotzdem schön, daß man sie ausschalten kann. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4W5177" title="Mond &amp; Venus"><img src="https://live.staticflickr.com/65535/49551839107_775d88f2c3_k.jpg" alt="Mond &amp; Venus"></a>

!!Beobachtungsbedingungen

Das Wetter war mal wieder nicht gut. Immer wenn ich fahre...Dabei hatte Meteoblue die beste Vorhersage. Bereits eine Woche vorher wurde das schlechte Wetter mit der aufsteigenden Wolkenschicht in der Meteogramm-Sicht fast exakt vorhergesagt. Das ist schon erstaunlich. Aufgrund des Kälteeinbruchs auf der iberischen Halbinsel war es auf La Palma auch kälter, vor allem in den Höhenlagen. Auf dem Roque wurden über mehrere Tage nur Minustemperaturen angezeigt und gefrierender Regen gemeldet. Eine Nacht habe ich ausgeharrt und als die Wolkendecke aufriss, konnte ich vier Stunden beobachten. Dabei hat sich das Ganze angefühlt wie eine typische Winternacht auf der Wasserkuppe. Hohe Luftfeuchte, sehr kalt 🥶 ... sehr unangenehm. Trotzdem ist dieser Himmel einfach grandios. Er ist jetzt im direkten Vergleich nochmals dunkler als der auf der spanischen Halbinsel, auch wenn man dort punktuell ebenbürtige Bedingungen vorfinden kann.

!!Timelapse Video

Unten ist ein Video zu sehen, dass eine Zeitrafferaufnahme des gesamten Nachthimmels über Garafia vom 19.01.2019 von Dämmerungsende bis zur Morgendämmerung zeigt. Der Ort ist nur wenige Kilometer weiter nordwestlich von Puntagorda gelegen, aber nochmal deutlich dunkler. 

<div style="font-size:0.7em;text-align:center;margin-top:2em;margin-bottom:2em;">
<<list-thumbnails filter:"[tag[Video Januar 2020]]" width:"168" height:"95">>
</div> 

Im Flieger frage ich mich was das Ganze soll. Schweres Handgepäck und zwei Koffer dabei. Aber dann, wenn ich da bin, auf dem Roque stehe und den Sternenhimmel bewundere, ja dann weiß ich warum ich mir das antue. Fantastisch diese Insel und der Himmel!

Das Video zeigt den Nachthimmel am Ferienhäuschen La Podona und dem Roque de los Muchachos.

<iframe width="560" height="315" src="https://www.youtube.com/embed/p1MN7m7dHi8" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Bei beiden handelt es sich um erwiesenermaßen exzellente Beobachtungsplätze. La Palma ist seit vielen Jahren auch bei deutschen Amateurastronomen bekannt. Der Alto Tajo hingegen ist völlig unbekannt. Ich hörte das erste Mal 2008 von ihm: Auf dem Astrotreffen „Astrobonilla“ in Cuenca erzählte mir der Besitzer eines 20 Zoll Dobsons von sagenhaften dunklen Nächten. Da war dann auch mein Interesse geweckt und es dauerte schließlich ganze zehn Jahre bis ich mich aufmachte.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/5CP8Q8" title="Untitled"><img src="https://live.staticflickr.com/7910/33703499648_b2aadd3ed2_k.jpg"></a>

Das o.a. Foto zeigt jeweils Aufnahmen mit gleichen Einstellungen unmittelbar nach Einsetzen der astronomischen Dämmerung jeweils an der Muela de San Juan sowie an der [[Podona|La Podona]]. Belichtungszeit jeweils 25 sec bei 5000 ASA mit Sony A6300 APS-C (unmodifiziert) und Meike 6.5mm f2 190 Grad Fisheye @f2.8.

!![[Alto Tajo]]

Zum Alto Tajo habe ich ja bereits einiges geschrieben. Meine letzte Exkursion war [[zwischen den Jahren 2018|Zwischen den Jahren auf dem Alto Tajo]]. Die Nächte waren spektakulär. Und solche Superlative sind mir eigentlich fremd. Der Alto Tajo ist mit Höhen um die 1800m üNN für die Beobachtung ideal geeignet. Typische dunkle Nächte beginnen mit SQM-L Werten nach Einbruch der astronomischen Dämmerung jenseits der 21.6 und steigen dann schnell bei guter Transparenz auf 21.8. Gegen Morgen dann werden häufig 21.9 sowie in sehr guten Nächten auch 22.0 erreicht.

!![[La Palma]]

La Palma beherbergt mit dem Roque de los Muchachos den wichtigsten Teleskopstandort der nördlichen Hemisphäre nach Hawaii mit dem Mauna Kea. Auch La Palma hat Höhenlagen um 2000m üNN und sogar darüber. Da im Atlantik gelegen reichen bereits geringere Höhen um 1000m üNN aus, um hervorragende Transparenz zu haben. Das ist auf dem Festland nicht so. Da muss man sich über dem lokalen Höhenprofil in der Regel mindestens 300m höher befinden, um über der Dunstschicht zu sein. Mit dem umgebenen Meer ist dies natürlich einfach und die Insel ragt praktisch aus dem Nichts 2400m hervor. Auch auf La Palma beginnen die Nächte mit SQM-L Werte jenseits der 21.6 manchmal auch direkt bei 21.7. Im Verlauf der Nacht steigen sie dann sicher auf jenseits der 21.8. In Ausnahmenächten werden auch 21.9 bzw. 22.0 erreicht.

!!Gibt es Unterschiede in der Himmelsqualität?

Ich habe beide Orte besucht. Nach La Palma fahre ich seit 2004 fast jedes Jahr. Ich kenne daher die Bedingungen sehr gut. Der Alto Tajo schien mir visuell bereits ebenbürtig, was Transparenz und Dunkelheit des Nachthimmels anbelangt, zu sein. Bisher hatte ich nur meine visuellen Eindrücke und eine Handvoll SQM-L Messungen vorzuweisen. Das ist schon einiges, aber was ist wenn diese Eindrücke täuschen?
Deshalb habe ich mir eine Kamera und ein 180 Grad Fisheye Objektiv zugelegt und mache bei gleichen Kameraeinstellungen Fotos des Nachthimmels. Im Januar 2019 habe ich dies bereits auf dem Alto Tajo gemacht. Nun also auch auf La Palma. Referenz auf La Palma war das Ferienhaus „La Podona“ in unmittelbarer Nähe zur Astrofarm „Athos“ gelegen (genauer 200m darüber).

Die Aufnahmen sehen was die Himmelsqualität anbelangt nahezu identisch aus. Das Zodiakallicht ist deutlich und hell zu erkennen und die Lichtbrücke eindrucksvoll. Natürlich sind die Aufnahmen zu unterschiedlichen Jahreszeiten aufgenommen aber verdeutlichen schon, dass die beiden Orte auf Augenhöhe sind. Dies haben die visuellen Eindrücke vermuten lassen und ich bin froh, dass ich mich darauf verlassen kann.

!__''Fazit''__

In der Tat liegt der Alto Tajo gleichauf zu La Palma, was Dunkelheit und Transparenz des Nachthimmels anbelangt. Das ist ein wirklich gutes Zeichen, denn der Alto Tajo liegt auf dem europäischen Festland weit genug weg von großen Metropolen aber dennoch im dichtbesiedelten Europa. Es ist beruhigend, dass es in Europa praktisch für unser Hobby noch hervorragende Plätze gibt. Der [[Pinar de Araceli|Pinar de Araceli (PDA)]] ist auch einer davon.

Ein weiteren Vergleich zwischen der Podona und dem Roque de los Muchachos wird es in einem Folgeartikel geben. 

In La Palma miete ich immer das Landhaus „La Podona".
Der Himmel ist hier fast genauso gut auf dem Roque.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/13673342675" title="Ohne Titel"><img src="https://live.staticflickr.com/3701/13673342675_8f18ada230_k.jpg"></a>
Direkt am Haus bietet sich ein Beobachtungsplatz mit bester Südsicht. Der Blick nach Norden ist allerdings durch Baumreihen eingeschränkt.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/13674979363" title="Ohne Titel"><img src="https://live.staticflickr.com/7180/13674979363_5c0254972c_k.jpg" alt="Ohne Titel"></a>

Hier kann man die Podona mieten: [[www.islabonita.com|http://www.islabonita.es/de/de_alojamientos/alojamientos_ficha.php?ID=91&tabla_datos=casas_rurales]].

Objekt: Laevens 3, Teleskop: 25" f/4 Newton, 
Vergrößerung: 178x & 278x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[29.06.2022|29. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2MjUD89Tz2" title="Laevens 3"><img src="https://live.staticflickr.com/65535/52248784638_70015802e9_c.jpg" alt="Laevens 3"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52248784673/in/photostream/]]

Das Video zeigt den Landeanflug auf Windhoek. 

<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/573686938?badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479" frameborder="0" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen style="position:absolute;top:0;left:0;width:100%;height:100%;" title="Untitled"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/29801188762/in/datetaken/" title="Untitled"><img src="https://c3.staticflickr.com/9/8225/29801188762_1ebd0cc219.jpg"></a>
Wolken waren in diesen Nächten mein ständiger Begleiter.</div>

Habe ein paar sehr gute Gelegenheiten die letzten Wochen verpasst. Habe aufgrund verschiedener Gründe (auch die eigene Verzagtheit war Schuld!) tolle Nächte verpasst. Das musste nachgeholt werden. Und so werden es immerhin zwei Nächte hintereinander. Vielleicht sogar die letzten in Deutschland für dieses Jahr. Ja, die Statistik sagt, das es i.d.R. tatsächlich so ist. Liegt net an mier, sondern am Wetter.

!Endlich das passende Wetter

Das zugehörige Wetter war dann gar nicht so toll. Am 24. & 25. September fuhr ich in die Lange Rhön und nach Stumpi. Zwar zogen in beiden Nächten Wolken durch, doch ließ es sich trotzdem gut beobachten. Auf dem alten ITV Gelände in Stumpi hatte ich am 25. September eine sagenhafte Nacht. Sagenhaft deshalb, das Seeing hervorragend war. Schätze Pickering 8.

!Update

Am 4. Oktober ergibt sich eine weitere Gelegenheit. Laue Temperaturen herrschen aber nicht mehr. Eher winterliche. Zumindest Nachts in Stumpi. Habe die Nacht noch ergänzt.

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 24.-25.09.|24. September 2016 - Lange Rhön]]|''14"  Dobson, 4 h, SQM-L 21.45,  6 Objekte''<br>M13, __[[M57 - Ringnebel]]__, __[[NGC 6826 - Blinkender PN|NGC 6826]]__, __[[NGC 6857]]__, __[[NGC 7094]]__, __[[M15]]__|
|[[2. Nacht / 25.-26.09.|25. September 2016 - Stumpertenrod]]|''14" Dobson, 3.5 h, SQM-L 21.5, 3 Objekte''<br>__[[NGC 7662 - Blauer Schneeball]]__, __[[NGC 70 Gruppe bzw. Arp 113|Arp 113]]__, __[[NGC 891]]__, IC 59 &63|
|[[3. Nacht / 04.-05.10.|4. Oktober 2016 - Stumpertenrod]]|''14" Dobson, 5 h, SQM-L 21.2, 4 Objekte''<br>__[[M56]]__, __[[NGC 70 Gruppe bzw. Arp 113|Arp 113]]__, __[[Jones 1]]__, __[[NGC 838 - Gruppe bzw. HCG 16|NGC 383 - Gruppe]]__|

Drei sehr schöne Nächte, wenn auch zu kurz. Jetzt im Herbst kann man zum Glück wieder früher beobachten.

Objekt: Leo A, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56, Filter: -, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt:  16.03.2015 02:50:00

<a href="https://www.flickr.com/photos/106029581@N02/16759799620" title="LeoA by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7596/16759799620_6df5a819f3_z.jpg" alt="LeoA"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16766843218]]

Objekt: Leo I, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56, Filter: -, Bedingungen: SQM-L 21.55, Ort: La Podona, Zeitpunkt:  15.03.2015 00:40:00

<a href="https://www.flickr.com/photos/106029581@N02/16768452949" title="LeoI_2 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7639/16768452949_24f136c224_z.jpg" alt="LeoI_2"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16332431284]]

Objekt: Leo II, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56, Filter: -, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 15.03.2015 01:35:00

<a href="https://www.flickr.com/photos/106029581@N02/16747162237" title="Leo_II by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7585/16747162237_1f68ace66b_z.jpg" alt="Leo_II"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/16766843218]]

Objekt: M65, M66 & NGC 3628, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168x, Filter:-, Bedingungen: SQM-L 21.72, Ort: RDLM, Zeitpunkt: 01.04. & 03.04.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/26430061643/in/datetaken/" title="Leo Triplet"><img src="https://farm8.staticflickr.com/7120/26430061643_8f3a7cc83d_o.jpg" alt="Leo Triplet"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26965357441/in/datetaken/]]

Hier gibt es die letzten 30 Zeichnungen, die ich hier veröffentlicht habe.

These are the last 30 sketches that I posted on muy HP.

<div class="tc-link-info">

<$list filter="[tag[Zeichnung]] +[!sort[created]limit[60]]">

<div class="tc-link-info-item">

!<$link><$view field="title"/></$link>

<div class="tc-subtitle">Posted <$view field="created" format="relativedate"/></div>

<$transclude/>

</div>

</$list>

</div>

!!''Alle Zeichnungen... [[>>|Zeichnungen]]''

Seit einem Jahr habe ich ja eine neue Kamera, bei der sich auch das Objektiv austauschen lässt. Und das erste Wechselobjektiv, dass ich mir anschaffte war ein Fisheye 190°. Mit dem bin ich schon das ganze Jahr umhergereist und habe fleißig Fotos gemacht, u.a. La Palma und Namibia.
Jetzt also die Wasserkuppe. Ich war schon gewarnt und habe bzgl. der Himmelshelligkeit gute Erfahrungen mit meinem SQM-L gemacht. Und das sieht so aus: Zu Beginn der astronomischen Nacht vorzugsweise im Herbst/Winter mit Werten knapp unter 21.2. Gegen Mitternacht gibt es dann 21.4. Etwa eine Stunde vor Einsetzen der astronomischen Morgendämmerung dann meist Werte knapp über 21.5.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/piJ3hr" title="Untitled"><img src="https://live.staticflickr.com/65535/49038196067_f7715aafd9_3k.jpg"></a>

Im Mai bei trockenen Bedingungen gibt es den dunkelsten Himmel. In guten Nächten hat man dann Werte über 21.6. Solche Nächte sind aber die Ausnahme. Zum Vergleich: Auf La Palma beginnen die Nächte meist (trotz Airglow) bei 21.6 und gegen Mitternacht werden 21.8-21.9 erreicht.  In Namibia sogar 22.0. 

Das Foto zeigt Aufnahmen in der Nacht vom [[30.-31.10.2019|Wasserkuppe im Herbst 2019]], die ich mit besagtem Fisheye aufgenommen habe. Dabei belichtete ich 25 sec bei Blende 2.8 und 5000 ASA mit feststehender Kamera. Links gegen 21:30 Uhr und rechts nach Mitternacht. Norden ist übrigens oben. Osten links. Westen rechts und demnach Süden unten. 🤔
Der helle Schein am Horizont im Westen auf dem linken Bild kommt von der Leuchtreklame eines der auf der Wasserkuppe angesiedelten Hotels. 

Zu erkennen ist, dass die Lichtverschmutzung im Laufe der Nacht deutlich zurückgeht. Insbesondere an den Lichtglocken bzw. -quellen am Horizont erkennt man gut, dass diese offenbar "gedimmt" worden sind. Besonders deutlich ist dies an der Lichtquelle im NO zu sehen (unterhalb der aufgehenden Wintermilchstraße). Interessant ist auch die Tatsache, dass der Gegenschein auf beiden Fotos zu erkennen ist. Insbesondere im Bild rechts schräg unterhalb der Plejaden.

!Was heißt das nun?

Nun das heißt, dass eben die Lichtverschmutzung ursächlich für den dunkler werdenden Himmel im Laufe der Nacht ist. Nicht, wie häufig von Sternfreunden mitunter angenommen, die Zunahme der Transparenz. Denn viele glauben, dass sich "der Staub" legen müsse. Dann verbesserten sich auch die Bedingungen. Die Bedingungen - zumindest auf der Wasserkuppe - verbessern sich offenbar vor allem deshalb weil Lichtquellen abgeschaltet werden. Dies konnte ich visuell auch vom Radom am Ende der Nacht beobachten, wo die Straßenbeleuchtung in Fulda visuell deutlich zurückgegangen war.

Das bedeutet auch, dass die Winterzeit und die Möglichkeit der Beobachtung am frühen Abend für uns eigentlich nicht viel bringt. Mein Mantra ist immer, dass man am besten die zwei Stunden vor der Morgendämmerung auf der Wasserkuppe beobachtet, denn nur dann sind die Bedingungen was die Dunkelheit des Nachthimmels anbelangt ausreichend gut.

!Auswege

Man kann anhand der Objektauswahl dennoch schöne Nächte auf der Wasserkuppe und allgemein unter mitteleuropäischen Himmel haben. Zum einen helfen Filter das Licht der Straßenbeleuchtung herauszufiltern, zumindest bei den einschlägig dafür bekannten Objekten (so haben wir in jener Nacht den Zirrusnebel mit einem OIII-Filter beobachtet). Andere Objekt, wie Galaxien, profitieren nicht. Planetarische Nebel sind meistens recht hell und reagieren meist auch auf Filter. Planeten sind auch eine Möglichkeit.

!Namibia in Deutschland?

Nein, sowas gibt es nicht, auch wenn es immer mal wieder behauptet wird. An keinem Ort in Deutschland. 

Hier nochmal Aufnahmen von La Palma und Namibia zum Vergleich, die mit den gleichen Kameraeinstellungen aufgenommen worden sind.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/qPPA43" title="Untitled"><img src="https://live.staticflickr.com/65535/48566895157_1656797c3b_k.jpg"></a>

Ich selbst habe zwar mal eine sehr gute Nacht mit sehr hohen SQM-L Werten etwas entfernt von der Wasserkuppe erleben dürfen, aber dies hatte mit Namibia leider nichts zu tun. Sehr gute bzw. Ausnahmenächte sind möglich, aber eben Ausnahmen. In Namibia hat man jede Nachte einen dunklen Himmel. Da braucht es hierfür keine Ausnahmenächte. 

Unten ist ein Panorama zu sehen aus einer dieser [[Ausnahmenächte|/Rhön - La Palma des Nordens]]. Leider sind solche Nächte sehr, sehr selten und im Frühjahr auch sehr kurz.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/44526754715/in/dateposted-public/" title="Lange Rhön"><img src="https://live.staticflickr.com/1938/44526754715_ca19f145fc_k.jpg"></a>

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Hier handelt es sich um das von Puntagorda aus erreichbare Ende einer Feuerschneise, die als betonierter Weg fast bis zum Roque de los Muchachos führt. An deren Ende befindet sich ein Wasserreservoir, mit Löschwasser.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/J02Aon" title="Untitled"><img src="https://live.staticflickr.com/7817/33703067568_e1c049946b_k.jpg"></a>

Der Weg hierauf ist sehr steil und man benötigt ein durchzugsstarken Kleinwagen um die steile Auffahrt zu bewältigen. Bleibt man stehen, ist eine Weiterfahrt oft nicht mehr möglich. Es gibt auf der einspurigen Strafe immer wieder Ausbuchtungen, an denen man sein Equipment aufbauen kann. Die meisten sind aber sehr abschüssig. Am Ende gelangt man schließlich in ein fast ebenes Gebiet, der Llanos de los Animas. Dort gibt es einige Ausbuchtungen an denen man sehr gut beobachten kann.

Allerdings ist das nur zu empfehlen, wenn der Ostwind nicht zu stark ist. Bei stärkerem Wind fährt man etwas weiter hoch bis zum Wassertank. Die nahe Felswand bietet vor dem Wind nochmals besseren Schutz. Aber selbst bei starkem Ost beziehungsweise Nordost Wind muss man am Ende doch viel weiter runter. Dann ist es sinnvoller die komplette Strecke zurückzufahren und in den Weinbergen von Puntagorda aufzubauen. Diese liegen fast 1000 m tiefer.

!Wassertank am Ende der Betonpiste

Oben am Wassertank ist die Sicht nach Osten aufgrund einer Felswand deutlich eingeschränkt. Nach Süden hat man gute Sicht. Nach Norden hingegen aufgrund der nahen Bäume ist die Sicht ebenfalls nicht optimal. 

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/47580041191/in/datetaken/" title="Untitled"><img src="https://live.staticflickr.com/7884/47580041191_ad448a04a7_k.jpg"></a>

Hier oben kann man sehr schöne und ruhige Nächte verbringen, da man praktisch niemanden begegnet. Ein sehr einsamer und ruhiger Platz.

!!Beobachtungsnächte

#18.08.2012 Laufenselden (Schulten 14")
#19.08.2012 Laufenselden
#12.09.2012 La Palma
#13.09.2012 La Palma
#14.09.2012 La Palma
#15.09.2012 La Palma
#11.12.2012 La Palma
#13.12.2012 La Palma
#14.12.2012 La Palma
#15.12.2012 La Palma
#04.01.2013 Bonilla
#05.01.2013 Araceli
#06.01.2013 Araceli
#07.01.2013 Araceli
#08.01.2013 Araceli
#02.03.2013 Laufenselden 
#04.03.2013 Laufenselden
#11.05.2013 Bonilla
#12.05.2013 Bonilla
#07.07.2013 Laufenselden (Ohne Dobson nur mit Feldstecher)
#30.07.2013 Bonilla
#31.07.2013 Bonilla
#03.08.2013 Pinar de Araceli 
#04.08.2013 Pinar de Araceli 
#05.08.2013 Pinar de Araceli 
#06.08.2013 Pinar de Araceli 
#07.08.2013 Pinar de Araceli 
#08.08.2013 Pinar de Araceli 
#09.08.2013 Pinar de Araceli 
#04.09.2013 Laufenselden
#03.10.2013 La Palma
#04.10.2013 La Palma
#05.10.2013 La Palma
#06.10.2013 La Palma
#07.10.2013 La Palma
#08.10.2013 La Palma
#29.12.2013 Pinar de Araceli 
#05.01.2014 Pinar de Araceli 
#25.03.2014 La Palma
#26.03.2014 La Palma
#27.03.2014 La Palma
#29.03.2014 La Palma
#20.04.2014 Stumpi
#03.05.2014 Rhön
#20.05.2014 Stumpi
#24.05.2014 Stumpi
#16.08.2014 Bonilla
#17.08.2014 Bonilla
#19.08.2014 Bonilla
#21.08.2014 PDA
#22.08.2014 PDA
#23.08.2014 PDA
#24.08.2014 PDA
#25.08.2014 PDA
#26.08.2014 PDA
#27.08.2014 PDA
#27.09.2014 Rhön
#17.01.2015 Podona 
#14.02.2015 Rhön
#14.03.2015 La Podona 
#15.03.2015 RDLM
#16.03.2015 RDLM
#17.03.2015 RDLM 
#18.04.2015 Rhön (ab jetzt Sumerian)
#10.05.2015 Tivoli Astrofarm 
#11.05.2015 Tivoli Astrofarm 
#12.05.2015 Tivoli Astrofarm 
#13.05.2015 Tivoli Astrofarm 
#14.05.2015 Tivoli Astrofarm 
#15.05.2015 Tivoli Astrofarm 
#16.05.2015 Tivoli Astrofarm 
#17.05.2015 Tivoli Astrofarm 
#18.05.2015 Tivoli Astrofarm 
#19.05.2015 Tivoli Astrofarm 
#20.05.2015 Tivoli Astrofarm 
#21.05.2015 Tivoli Astrofarm 
#22.05.2015 Tivoli Astrofarm 
#23.05.2015 Tivoli Astrofarm
#09.08.2015 Bonilla
#11.08.2015 Bonilla
#13.08.2015 Bonilla 
#15.08.2015 Bonilla
#17.08.2015 PDA
#18.08.2015 PDA
#19.08.2015 PDA  
#11.09.2015 Rhön
#11.10.2015 Wasserkuppe
#31.12.2015 RDLM
#01.01.2016 RDLM
#02.01.2016 RDLM
#03.01.2016 RDLM
#04.01.2016 RDLM
#05.01.2016 La Podona
#06.01.2016 RDLM
#07.01.2016 RDLM
#09.01.2016 RDLM
#10.01.2016 RDLM
#01.04.2016 RDLM
#02.04.2016 RDLM
#03.04.2016 RDLM
#04.04.2016 La Podona (ohne Teleskop)
#05.04.2016 Trocha del Reventon
#06.04.2016 Weinberg über Puntagorda
#08.04.2016 Weinberg über Puntagorda
#09.04.2016 Trocha del Reventon
#04.05.2016 Rhön (Grenze)
#05.05.2016 Rhön (Parkplatz Schwarzes Moor)
#06.05.2016 Lange Rhön (Nähe Thüringer Hütte)
#07.05.2016 Lange Rhön (Nähe Thüringer Hütte)
#26.07.2016 Bonilla
#29.07.2016 Bonilla
#31.07.2016 Pinar de Araceli
#01.08.2016 Pinar de Araceli
#02.08.2016 Pinar de Araceli
#03.08.2016 Pinar de Araceli
#04.08.2016 Pinar de Araceli
#05.08.2016 Pinar de Araceli
#06.08.2016 Pinar de Araceli
#24.09.2016 Lange Rhön
#25.09.2016 Stumpertenrod
#04.10.2016 Stumpertenrod
#28.11.2016 Wasserkuppe
#29.11.2016 Wasserkuppe
#02.12.2016 Wasserkuppe
#03.12.2016 Wasserkuppe
#25.12.2016 Nablanca (Pinar de Araceli)
#26.12.2016 Nablanca (Pinar de Araceli)
#27.12.2016 Puerto de la Losa 1750 müNN (Pinar de Araceli)
#29.12.2016 Puerto del Pinar 1660 müNN (Pinar de Araceli
#30.12.2016 Puerto del Pinar 1660 müNN (Pinar de Araceli)
#31.12.2016 Puerto de la Losa 1690 müNN (Pinar de Araceli)
#[[22.01.2017 La Palma|22. Januar 2017 - La Palma]]
#[[23.01.2017 La Palma|23. Januar 2017 - La Palma]]
#[[24.01.2017 La Palma|24. Januar 2017 - La Palma]]
#[[26.01.2017 La Palma|26. Januar 2017 - La Palma]]
#[[27.01.2017 La Palma|27. Januar 2017 - La Palma]]
#[[28.01.2017 La Palma|28. Januar 2017 - La Palma]]
#[[29.01.2017 La Palma|29. Januar 2017 - La Palma]]
#[[19.05.2017 Tivoli Astrofarm|19. Mai 2017 - Tivoli Astrofarm]]
#[[20.05.2017 Tivoli Astrofarm|20. Mai 2017 - Tivoli Astrofarm]]
#[[21.05.2017 Tivoli Astrofarm|21. Mai 2017 - Tivoli Astrofarm]]
#[[22.05.2017 Tivoli Astrofarm|22. Mai 2017 - Tivoli Astrofarm]]
#[[23.05.2017 Tivoli Astrofarm|23. Mai 2017 - Tivoli Astrofarm]]
#[[24.05.2017 Tivoli Astrofarm|24. Mai 2017 - Tivoli Astrofarm]]
#[[25.05.2017 Tivoli Astrofarm|25. Mai 2017 - Tivoli Astrofarm]]
#[[26.05.2017 Tivoli Astrofarm|26. Mai 2017 - Tivoli Astrofarm]]
#[[27.05.2017 Tivoli Astrofarm|27. Mai 2017 - Tivoli Astrofarm]]
#[[28.05.2017 Tivoli Astrofarm|28. Mai 2017 - Tivoli Astrofarm]]
#[[29.05.2017 Tivoli Astrofarm|29. Mai 2017 - Tivoli Astrofarm]]
#[[30.05.2017 Tivoli Astrofarm|30. Mai 2017 - Tivoli Astrofarm]]
#[[31.05.2017 Tivoli Astrofarm|31. Mai 2017 - Tivoli Astrofarm]]
#[[19.07.2017 - Pinar de Araceli|19. Juli 2017 - Pinar de Araceli]]
#[[20.07.2017 - Pinar de Araceli|20. Juli 2017 - Pinar de Araceli]]
#[[21.07.2017 - Pinar de Araceli|21. Juli 2017 - Pinar de Araceli]]
#[[22. Juli 2017 - Campos de Hernan Perea|22. Juli 2017 - Campos de Hernan Perea]]
#[[23.07.2017 - Pinar de Araceli|23. Juli 2017 - Pinar de Araceli]]
#[[24.07.2017 - Pinar de Araceli|24. Juli 2017 - Pinar de Araceli]]
#[[14.10.2017 - Wasserkuppe|14. Oktober 2017 - Wasserkuppe]]
#[[15.10.2017 - Wasserkuppe|15. Oktober 2017 - Wasserkuppe]]
#[[12.01.2018 La Palma|12. Januar 2018 - La Palma]]
#[[13.01.2018 La Palma|13. Januar 2018 - La Palma]]
#[[14.01.2018 La Palma|14. Januar 2018 - La Palma]]
#[[15.01.2018 La Palma|15. Januar 2018 - La Palma]]
#[[17.01.2018 La Palma|17. Januar 2018 - La Palma]]
#[[18.01.2018 La Palma|18. Januar 2018 - La Palma]]
#[[19.01.2018 La Palma|19. Januar 2018 - La Palma]]
#[[20.01.2018 La Palma|20. Januar 2018 - La Palma]]
#[[13.02.2018 Wasserkuppe|13. Februar 2018 - Wasserkuppe]]
#[[05.05.2018 Stumpertenrod|5. Mai 2018 - Stumpertenrod]]
#[[07.05.2018 Wasserkuppe|7. Mai 2018 - Wasserkuppe]]
#[[09.07.2018 - Pinar de Araceli|9. Juli 2018 - Pinar de Araceli]]
#[[10.07.2018 - Pinar de Araceli|10. Juli 2018 - Pinar de Araceli]]
#[[11.07.2018 - Pinar de Araceli|11. Juli 2018 - Pinar de Araceli]]
#[[12.07.2018 - Pinar de Araceli|12. Juli 2018 - Pinar de Araceli]]
#[[16.07.2018 - Alto Tajo|16. Juli 2018 - Alto Tajo]]
#[[04.08.2018 Tivoli Astrofarm|4. August 2018 - Tivoli Astrofarm]]
#[[05.08.2018 Tivoli Astrofarm|5. August 2018 - Tivoli Astrofarm]]
#[[06.08.2018 Tivoli Astrofarm|6. August 2018 - Tivoli Astrofarm]]
#[[07.08.2018 Tivoli Astrofarm|7. August 2018 - Tivoli Astrofarm]]
#[[08.08.2018 Tivoli Astrofarm|8. August 2018 - Tivoli Astrofarm]]
#[[09.08.2018 Tivoli Astrofarm|9. August 2018 - Tivoli Astrofarm]]
#[[10.08.2018 Tivoli Astrofarm|10. August 2018 - Tivoli Astrofarm]]
#[[11.08.2018 Tivoli Astrofarm|11. August 2018 - Tivoli Astrofarm]]
#[[11.09.2018 Wasserkuppe|11. September 2018 - Wasserkuppe]]
#[[05.10.2018 Wasserkuppe|05. Oktober 2018 - Wasserkuppe]]
#[[13.10.2018 Wasserkuppe - SQM-L 21.51|13. Oktober 2018 - Wasserkuppe]]
#[[05.11.2018 Wasserkuppe - SQM-L 21.49|05. November 2018 - Wasserkuppe]]
#[[15.11.2018 Wasserkuppe - SQM-L 21.48|15. November 2018 - Wasserkuppe]]
#[[16.11.2018 Wasserkuppe - SQM-L 21.56|16. November 2018 - Wasserkuppe]]
#[[29.12.2018 Muela de San Juan - SQM-L  21.86|29. Dezember 2018 - Muela de San Juan]]
#[[30.12.2018 Muela de San Juan - SQM-L  21.82|30. Dezember 2018 - Muela de San Juan]]
#[[31.12.2018 Muela de San Juan - SQM-L  21.9|31. Dezember 2018 - Muela de San Juan]]
#[[01.01.2019 Muela de San Juan - SQM-L  21.82|01. Januar 2019 - Muela de San Juan]]
#[[02.01.2019 Muela de San Juan - SQM-L  21.84|02. Januar 2019 - Muela de San Juan]]
#[[03.01.2019 Muela de San Juan - SQM-L  21.67|03. Januar 2019 - Muela de San Juan]]
#[[04.01.2019 Muela de San Juan - SQM-L  22.0|04. Januar 2019 - Muela de San Juan]]
#[[05.01.2019 Muela de San Juan - SQM-L  21.82|05. Januar 2019 - Muela de San Juan]]
#[[29.03.2019 La Podona - SQM-L  22.0|29. März 2019 - La Palma]]
#[[30.03.2019 La Podona - SQM-L  21.7|30. März 2019 - La Palma]]
#[[31.03.2019 La Podona - SQM-L  21.86|31. März 2019 - La Palma]]
#[[02.04.2019 La Podona - SQM-L  21.88|02. April 2019 - La Palma]]
#[[04.04.2019 La Podona - SQM-L  21.84|04. April 2019 - La Palma]]
#[[06.04.2019 Roque de los Muchachos - SQM-L  21.95|06. April 2019 - La Palma]]
#[[07.04.2019 Roque de los Muchachos  - SQM-L  21.75|07. April 2019 - La Palma]]
#[[25.05.2019 Tivoli Astrofarm - SQM-L  21.92|25. Mai 2019 - Tivoli Astrofarm]]
#[[26.05.2019 Tivoli Astrofarm - SQM-L  22.0|26. Mai 2019 - Tivoli Astrofarm]]
#[[27.05.2019 Tivoli Astrofarm |27. Mai 2019 - Tivoli Astrofarm]]
#[[28.05.2019 Tivoli Astrofarm - SQM-L  22.0|28. Mai 2019 - Tivoli Astrofarm]]
#[[29.05.2019 Tivoli Astrofarm - SQM-L  22.0|29. Mai 2019 - Tivoli Astrofarm]]
#[[30.05.2019 Tivoli Astrofarm - Wolken |30. Mai 2019 - Tivoli Astrofarm]]
#[[31.05.2019 Tivoli Astrofarm - SQM-L  22.7 (gegen Wolkendecke gemessen) |31. Mai 2019 - Tivoli Astrofarm]]
#[[01.06.2019 Tivoli Astrofarm - SQM-L  21.9|01. Juni 2019 - Tivoli Astrofarm]]
#[[02.06.2019 Tivoli Astrofarm - SQM-L  22.05|02. Juni 2019 - Tivoli Astrofarm]]
#[[03.06.2019 Tivoli Astrofarm - SQM-L  22.0|03. Juni 2019 - Tivoli Astrofarm]]
#[[04.06.2019 Tivoli Astrofarm - SQM-L  21.9|04. Juni 2019 - Tivoli Astrofarm]]
#[[05.06.2019 Tivoli Astrofarm - SQM-L  22.0|05. Juni 2019 - Tivoli Astrofarm]]
#[[06.06.2019 Tivoli Astrofarm - SQM-L  21.98|06. Juni 2019 - Tivoli Astrofarm]]
#[[07.06.2019 Tivoli Astrofarm - SQM-L  22.23|07. Juni 2019 - Tivoli Astrofarm]]
#[[08.06.2019 Tivoli Astrofarm - SQM-L  21.9|08. Juni 2019 - Tivoli Astrofarm]]
#[[09.06.2019 Tivoli Astrofarm - SQM-L  22.23|09. Juni 2019 - Tivoli Astrofarm]]
#[[30.10.2019 Wasserkuppe - SQM-L 21.4|Wasserkuppe im Herbst 2019]]
#[[31.10.2019 Wasserkuppe - SQM-L 21.4|Wasserkuppe im Herbst 2019]]
#[[27.12.2019 - Pinar de Araceli|27. Dezember 2019 - Pinar de Araceli]]
#[[28.12.2019 - Pinar de Araceli|28. Dezember 2019 - Pinar de Araceli]]
#[[29.12.2019 - Pinar de Araceli|29. Dezember 2019 - Pinar de Araceli]]
#[[30.12.2019 - Pinar de Araceli|30. Dezember 2019 - Pinar de Araceli]]
#[[31.12.2019 - Pinar de Araceli|31. Dezember 2019 - Pinar de Araceli]]
#[[24.03.2020 - Lange Rhön|24. März 2020 - Coronanacht in der Langen Rhön]]
#[[14.04.2020 - Ostersamstag|11. April 2020 - Ostersamstag]]
#[[19.04.2020 - Thüringer Hütte|19. April 2020 - Thüringer Hütte]]
#[[17.05.2020 - Lange Rhön|17. Mai 2020 - Lange Rhön]]
#[[12.07.2020 - Feldberg|12. Juli 2020 - Feldberg]]
#[[12.07.2020 - Lange Rhön|21. Juli 2020 - Lange Rhön]]
#[[09.09.2020 - La Palma|9. September 2020 - La Palma]]
#[[09.09.2020 - La Palma|9. September 2020 - La Palma]] 
#[[10.09.2020 - La Palma|10. September 2020 - La Palma]]
#[[12.09.2020 - La Palma|12. September 2020 - La Palma]]
#[[17.09.2020 - La Palma|17. September 2020 - La Palma]]
#[[18.09.2020 - La Palma|18. September 2020 - La Palma]]
#[[19.09.2020 - La Palma|19. September 2020 - La Palma]]
#[[20.09.2020 - La Palma|21. September 2020 - La Palma]]
#[[21.09.2020 - La Palma|21. September 2020 - La Palma]]
#[[06.11.2020 - Lange Rhön|6. November 2020 - Lange Rhön]]
#[[13.02.2021 - Wasserkuppe|13. Februar 2021 - Wasserkuppe]]
#[[02.03.2021 - Lange Rhön|2. März 2021 - Lange Rhön]]
#[[05.03.2021 - Lange Rhön|5. März 2021 - Lange Rhön]]
#[[06.03.2021 - Lange Rhön|6. März 2021 - Lange Rhön]]
#[[03.04.2021 - Lange Rhön|3. April 2021 - Lange Rhön]]
#[[04.06.2021 - Tivoli Astrofarm|04. Juni 2021 - Tivoli Astrofarm]]
#[[05.06.2021 - Tivoli Astrofarm|05. Juni 2021 - Tivoli Astrofarm]]
#[[06.06.2021 - Tivoli Astrofarm|06. Juni 2021 - Tivoli Astrofarm]]
#[[08.06.2021 - Tivoli Astrofarm|08. Juni 2021 - Tivoli Astrofarm]] - SQM-L 21.84
#[[09.06.2021 - Tivoli Astrofarm|09. Juni 2021 - Tivoli Astrofarm]]
#[[10.06.2021 - Tivoli Astrofarm|10. Juni 2021 - Tivoli Astrofarm]]
#[[11.06.2021 - Tivoli Astrofarm|11. Juni 2021 - Tivoli Astrofarm]]
#[[12.06.2021 - Tivoli Astrofarm|12. Juni 2021 - Tivoli Astrofarm]]
#[[13.06.2021 - Tivoli Astrofarm|13. Juni 2021 - Tivoli Astrofarm]]
#[[14.06.2021 - Tivoli Astrofarm|14. Juni 2021 - Tivoli Astrofarm]]
#[[14.08.2021 - Lange Rhön|14. August 2021 - Lange Rhön]] - SQM-L 21.6
#[[02.09.2021 - Lange Rhön|2. September 2021 - Lange Rhön]] - SQM-L 21.4
#[[03.09.2021 - Lange Rhön|3. September 2021 - Lange Rhön]] - SQM-L 21.4
#[[04.09.2021 - Lange Rhön|4. September 2021 - Lange Rhön]] - SQM-L 21.4
#[[08.10.2021 - Lange Rhön|8. Oktober 2021 - Lange Rhön]] - SQM-L 21.5
#[[09.10.2021 - Lange Rhön|9. Oktober 2021 - Lange Rhön]] - SQM-L 21.6
#[[28.01.2022 - Athos Star Campus|28. Januar 2022 - Athos Star Campus]] - 25 Zoll - SQM-L 21.8
#[[29.01.2022 - Athos Star Campus|29. Januar 2022 - Athos Star Campus]] - 25 Zoll - SQM-L 21.8
#[[30.01.2022 - Athos Star Campus|30. Januar 2022 - Athos Star Campus]] - 25 Zoll
#[[04.02.2022 - Athos Star Campus|04. Februar 2022 - Athos Star Campus]] - 25 Zoll - SQM-L 21.8
#[[27.02.2022 - Lange Rhön|27. Februar 2022 - Lange Rhön]] - 21 Zoll - SQM-L 21.6
#[[28.02.2022 - Lange Rhön|28. Februar 2022 - Lange Rhön]] - 21 Zoll - SQM-L 21.6
#[[07.03.2022 - Stumpertenrod|7. März 2022 - Stumpertenrod]] - 21 Zoll - SQM-L 21.7-8
#[[09.03.2022 - Stumpertenrod|9. März 2022 - Stumpertenrod]] - 21 Zoll - SQM-L 21.8
#[[24.03.2022 - Lange Rhön|24. März 2022 - Lange Rhön]] - 21 Zoll - SQM-L 21.4
#[[25.03.2022 - Lange Rhön |25. März 2022 - Lange Rhön]] - 21 Zoll - SQM-L 21.4
#[[26.03.2022 - Lange Rhön|26. März 2022 - Lange Rhön]] - 21 Zoll - SQM-L 21.6
#[[27.03.2022 - Lange Rhön|27. März 2022 - Lange Rhön]] - 21 Zoll - SQM-L 21.7
#[[24.06.2022 - Tivoli Astrofarm|24. Juni 2022 - Tivoli Astrofarm]]
#[[25.06.2022 - Tivoli Astrofarm|25. Juni 2022 - Tivoli Astrofarm]]
#[[26.06.2022 - Tivoli Astrofarm|26. Juni 2022 - Tivoli Astrofarm]]
#[[27.06.2022 - Tivoli Astrofarm|27. Juni 2022 - Tivoli Astrofarm]] - SQM-L 21.84
#[[28.06.2022 - Tivoli Astrofarm|28. Juni 2022 - Tivoli Astrofarm]]
#[[29.06.2022 - Tivoli Astrofarm|29. Juni 2022 - Tivoli Astrofarm]]
#[[30.06.2022 - Tivoli Astrofarm|30. Juni 2022 - Tivoli Astrofarm]]
#[[01.07.2022 - Tivoli Astrofarm|01. Juli 2022 - Tivoli Astrofarm]]
#[[02.07.2022 - Tivoli Astrofarm|02. Juli 2022 - Tivoli Astrofarm]]
#[[04.07.2022 - Tivoli Astrofarm|04. Juli 2022 - Tivoli Astrofarm]]
#[[06.08.2022 - Lange Rhön|06. August 2022 - Lange Rhön]] - SQM-L 21.46
#[[28.08.2022 - Lange Rhön|06. August 2022 - Lange Rhön]] - SQM-L 21.56
#[[28.08.2022 - Lange Rhön|21. September 2022 - Lange Rhön]] - SQM-L 21.55
#[[29.08.2022 - Lange Rhön|22. September 2022 - Lange Rhön]] - SQM-L 21.3
#[[17.12.2022 - Pinar de Araceli|17. Dezember 2022 - Pinar de Araceli]] - SQM-L 21.5
#[[18.12.2022 - Pinar de Araceli|18. Dezember 2022 - Pinar de Araceli]] - SQM-L 21.6
#[[19.12.2022 - Pinar de Araceli|19. Dezember 2022 - Pinar de Araceli]] - SQM-L 21.6
#[[23.12.2022 - Campos de Hernan Perea|23. Dezember 2022 - Campos de Hernan Perea]] - SQM-L 21.7
#[[24.12.2022 - Campos de Hernan Perea|24. Dezember 2022 - Campos de Hernan Perea]] - SQM-L 21.6
#[[13.02.2023 - Wasserkuppe|13. Februar 2023 - Wasserkuppe]] - 21 Zoll - SQM-L 21.4
#[[14.02.2023 - Lange Rhön|14. Februar 2023 - Lange Rhön]] - 21 Zoll - SQM-L 21.6
#[[09.04.2023 - Lange Rhön|Ostersonntag 2023 - Lange Rhön]] - 21 Zoll,  SQM-L 21.6
#[[13.06.2023 - Pinar de Araceli|13. Juni 2023 - Pinar de Araceli]] - 14 Zoll,  SQM-L 21.8, SQM 21.6
#[[14.06.2023 - Pinar de Araceli|14. Juni 2023 - Pinar de Araceli]] - 14 Zoll,  SQM-L 21.6
#[[15.06.2023 - Pinar de Araceli|15. Juni 2023 - Pinar de Araceli]] - 14 Zoll, SQM-L 21.78
#[[16.06.2023 - Pinar de Araceli|16. Juni 2023 - Pinar de Araceli]] - 14 Zoll,  SQM-L 21.55
#[[17.06.2023 - Pinar de Araceli|17. Juni 2023 - Pinar de Araceli]] - 14 Zoll
#[[21.06.2023 - Pinar de Araceli|21. Juni 2023 - Pinar de Araceli]] - 14 Zoll,  SQM-L 21.6
#[[18.08.2023 - Lange Rhön|18. August 2023 - Lange Rhön]] - 21 Zoll, SQM-L 21.46, SQM 21.19
#[[20.08.2023 - Lange Rhön|20. August 2023 - Lange Rhön]] - 21 Zoll, SQM-L 21.50, SQM 21.39
#[[21.08.2023 - Lange Rhön|21. August 2023 - Lange Rhön]] - 21 Zoll, SQM-L 21.55, SQM 21.46
#[[22.08.2023 - Lange Rhön|22. August 2023 - Lange Rhön]] - 21 Zoll, SQM-L 21.46, SQM 21.26
#[[08.09.2023 - Lange Rhön|8. September 2023 - Lange Rhön]] - 21 Zoll,  SQM-L 21.36
#[[09.09.2023 - Langer Rhön|9. September 2023 - Lange Rhön]] - 21 Zoll, SQM-L 21.30
#[[10.09.2023 - Lange Rhön|10. September 2023 - Lange Rhön]] - 21 Zoll, SQM-L 21.30
#[[14.09.2023 - Lange Rhön|14. September 2023 - Lange Rhön]] - 21 Zoll,  SQM-L 21.46
#[[15.09.2023 - Lange Rhön|15. September 2023 - Lange Rhön]] - 21 Zoll, SQM-L 21.52 - Earth 🌍 Night 
#[[15.10.2023 - Stumpertenrod|15. Oktober 2023 - Stumpertenrod]] - 21 Zoll, SQM-L 21.30
#[[17.10.2023 - Lange Rhön|17. Oktober 2023 - Lange Rhön]] - 21 Zoll, SQM-L 21.4
#[[07.12.2023 - La Palma|7. Dezember 2023 - Wassertank]]  - 20 Zoll, SQM-L 21.7, SQM 21.5
#[[08.12.2023 - La Palma|8. Dezember 2023 - Wassertank]]  - 20 Zoll, SQM 21.44
#[[09.12.2023 - La Palma|9. Dezember 2023 - Athos Star Campus]]  - 20 Zoll, SQM 21.6
#[[11.12.2023 - La Palma|11. Dezember 2023 - Athos Star Campus]]  - 20 Zoll, SQM 21.5
#[[12.12.2023 - La Palma|12. Dezember 2023 - Wassertank]]  - 20 Zoll, SQM-L 21.8, SQM 21.6
#[[13.12.2023 - La Palma|13. Dezember 2023 - Wassertank]]  - 20 Zoll, SQM-L 21.48, SQM 21.31
#[[14.12.2023 - La Palma|14. Dezember 2023 - Wassertank]]  - 20 Zoll, SQM-L 21.66, SQM 21.52
#[[15.12.2023 - La Palma|15. Dezember 2023 - Wassertank]]  - 20 Zoll, SQM-L 21.6, SQM 21.5
#[[08.01.2024 - Lange Rhön|8. Januar 2024 - Schwarzes Moor]] - 21 Zoll
#[[09.01.2024 - Lange Rhön|9. Januar 2024 - Lange Rhön]] - 21 Zoll, SQM-L 21.1, SQM-L 20.83
#[[10.01.2024 - Lange Rhön|10. Januar 2024 - Lange Rhön]] - 21 Zoll, SQM-L 21.1, SQM-L 20.83
#[[07.03.2024 - Lange Rhön|7. März 2024 - Lange Rhön]] - 21 Zoll, SQM-L 21.7, SQM-L 21.4
#[[08.03.2024 - Lange Rhön|8. März 2024 - Lange Rhön]] - 21 Zoll, SQM-L 21.6, SQM-L 21.4
#[[10.04.2024 - Lange Rhön|10. April 2024 - Lange Rhön]] - 21 Zoll, SQM-L 21.7, SQM-L 21.5!

Objekt: Longmore 16, Teleskop: 25" f/4 Newton, 
Vergrößerung: 454x, Filter:-, Bedingungen: SQM-L 21.82, Ort: Tivoli Astrofarm, Zeitpunkt: [[05.08.2018|5. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/031PZc" title="Longmore 16"><img src="https://farm8.staticflickr.com/7817/47403805701_b6781a86b6_c.jpg" alt="Longmore 16"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32461800527/in/photostream/]]

Objekt: Longmore 5, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180-280x, Filter: [OIII], Bedingungen: SQM-L 21.67, Ort: Tivoli Astrofarm, Zeitpunkt: 20.05.2015 01:05 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18242833779" target="_blank"><img src="https://c1.staticflickr.com/9/8895/18242833779_b899b69299_z.jpg" alt="Longmore5"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18243225359]]

Objekt: Longmore-Tritton 5, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter: OIII, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[20.01.2018|20. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/39585198875/in/photostream/" title="Longmore-Tritton 5"><img src="https://farm5.staticflickr.com/4764/39585198875_118143eacc_c.jpg" alt="Longmore-Tritton 5"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/39770661114/in/photostream/]]

Objekt: Lundstrom-Stenholm-Acker 1 - LSA1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430-800 fach, Filter: -, Bedingungen: Bortle 4, Ort: Bonilla, Zeitpunkt: 13.08.2015 & 15.08.2015

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/21088401439/in/datetaken/" title="LSA1"><img src="https://farm1.staticflickr.com/599/21088401439_f50caf7970_b.jpg" alt="LSA1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/20652600844/in/datetaken/]]

Objekt: M 1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x & 114x, 168x & 290x, Filter: [OIII] und ohne Filter, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[18. & 19.12.2022|18. Dezember 2022 - Pinar de Araceli]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/SzfKcmj2i7" title="M 1 - Krebsnebel"><img src="https://live.staticflickr.com/65535/52606419806_eed98da8b3_h.jpg"  alt="M 1 - Krebsnebel"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52606920483/in/photostream/]]

Objekt: M 100, Teleskop: 21" f/3.8, Vergrößerung: 231x & 378x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[14. Februar 2023|14. Februar 2023 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2fy9c51FrL" title="M 100"><img src="https://live.staticflickr.com/65535/52813777254_7e85b07905_h.jpg" alt="M 100"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52813777269/in/photostream/]]

Objekt: M 101, Teleskop: 10x50 Feldstecher, Vergrößerung: 10x, Filter:-, Ort: [[Pinar de Araceli (PDA)]] & [[Lange Rhön|Rhön]], Zeitpunkt: [[15.06.2023|15. Juni 2023 - Pinar de Araceli]] & [[18.08.2023|18. August 2023 - Lange Rhön]], Gesichtsfeld 6.5°

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/5V92k1RS0x" title="M 101 - Feldstecher"><img src="https://live.staticflickr.com/65535/53128962131_6dca91f2db_h.jpg" alt="M 101 - Feldstecher"/></a>

Objekt: M 101, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, __114x__, 168x, 290x, 420x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[13. & 14. & 15.06.2023|13. Juni 2023 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/h9fL2Kfm95" title="M 101"><img src="https://live.staticflickr.com/65535/53052619858_8f0ae006b8_h.jpg"  alt="M 101"/></a>

Objekt: M 108, Teleskop: 20" f/3.8 Newton, Vergrößerung: 351x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[12.12.2023|12. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/C85e0aTX07" title="M 108"><img src="https://live.staticflickr.com/65535/53579271903_b3b544f4a9_h.jpg" alt="M 108"/></a>

Objekt: M110 & G73 (markiert), Teleskop: 21" f/3.8 Dobson, Vergrößerung: ca. 231x & 378x, Filter:-, Bedingungen: SQM-L 21.46, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[06.08.2022|06. August 2022 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/WU4TvCAwLV" title="Untitled"><img src="https://live.staticflickr.com/65535/52338060458_f69a2afac9_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52336867737/in/photostream/]]

Objekt: M 16 - Adlernebel, Teleskope: ''24" Bino- & 25" Dobson'', Vergrößerung: 278x & 454x, Filter: UHC, Ort:  [[Tivoli Astrofarm]], Zeitpunkte: [[02.06.2019|02. Juni 2019 - Tivoli Astrofarm]] & [[08.06.2021|08. Juni 2021 - Tivoli Astrofarm]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7570434d89" title="M 16 - Adlernebel"><img src="https://live.staticflickr.com/65535/53294289358_062b5a9dea_h.jpg" alt="M 16 - Adlernebel"/></a>

Objekt: M 27, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x & __178x__, Filter: [OIII], Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[15.06.2023|15. Juni 2023 - Pinar de Araceli]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Y4my85h0y2" title="M 27 - Hantelnebel"><img src="https://live.staticflickr.com/65535/53112011843_5d6666c15d_h.jpg" alt="M 27 - Hantelnebel"/></a>

Objekt: M 31 & M 110, Teleskop: 21" f/3.8 Dobson, Vergrößerung: 83x, Filter:-, Bedingungen: SQM-L 21.46, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[21.09.2022|21. September 2022 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/rF3Ku99cqm" title="Untitled"><img src="https://live.staticflickr.com/65535/52428914282_251156a434_h.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52413252641/in/photostream/]]

Objekt: M 82, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.64, Ort: Stumpertenrod, Zeitpunkt: [[05.05.2018|5. Mai 2018 - Stumpertenrod]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41891403622/in/datetaken-public/" title="M82"><img src="https://farm1.staticflickr.com/828/41891403622_489b295501_c.jpg" alt="M82"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41217295644/in/datetaken-public/]]

Objekt: M 94, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, 168x, 290x, __420x__, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[15.06.2023|15. Juni 2023 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/bRbt5dmJtH" title="M 94"><img src="https://live.staticflickr.com/65535/53005586182_b4906b0cf1_h.jpg" alt="M 94"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/53006347464/in/dateposted/]]

Objekt: M 95, Teleskop: 20" f/3.8 Newton, Vergrößerung: 351x, Filter:-, Ort: [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[08. & 09.12.2023|8. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/f7iw52D4Kj" title="M 95"><img src="https://live.staticflickr.com/65535/53582508306_1b6837006c_h.jpg" alt="M 95"/></a>

Objekt: M 96, Teleskop: 21" f/3.8, Vergrößerung: 231x & 378x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[9. April 2023|Ostersonntag 2023 - Lange Rhön]], Seeing 2-3, SQM-L 21.6

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/04E46efgT8" title="M 96"><img src="https://live.staticflickr.com/65535/53017106640_ce3ff495ce_h.jpg"  alt="M 96"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52911193217/in/photostream/]]

Objekt: M 97, Teleskop: 21" f/3.8, Vergrößerung: 231x & 378x, Filter: [OIII], Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[9. April 2023|Ostersonntag 2023 - Lange Rhön]], Seeing 2-3, SQM-L 21.6

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/c77sem3616" title="M 97 - Eulennebel"><img src="https://live.staticflickr.com/65535/52813000473_8d1c7fe7b0_h.jpg" alt="M 97 - Eulennebel"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52812740149/in/photostream/]]

Objekt: M1-Krebsnebel, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114-420x, Filter: OIII, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[27.01.2017|27. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38702783334/" title="M1"><img src="https://farm5.staticflickr.com/4686/38702783334_25c6ce9aaa_c.jpg" alt="M1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27633660939/in/photostream/]]

Objekt: M101, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168x, Filter:-, Bedingungen: SQM-L 21.54, Ort: Weinberg Puntagorda, Zeitpunkt: 06.04.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/27049415745/in/datetaken/"><img src="https://farm8.staticflickr.com/7685/27049415745_fda2cb7fed_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27049415555/in/datetaken/]]

Objekt: M105, NGC 3384 & 3373, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168x, Filter:-, Bedingungen: SQM-L 21.72, Ort: Trocha del Reventon, Zeitpunkt: 10.04.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/26451867033/in/datetaken/" title="M105 8"><img src="https://farm8.staticflickr.com/7056/26451867033_b13c3a369b_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26781035570/in/datetaken/]]

Objekt: M106, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168 & 290x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Lange Rhön, Zeitpunkt:  07.05.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26976748624/in/datetaken-public/" title="image"><img src="https://c1.staticflickr.com/8/7124/26976748624_9d40ba2f27_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26976748634/in/datetaken-public/]]

Objekt: M108, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Reventón, Zeitpunkt: [[26.01.2017|26. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/33272423241/" title="M 108"><img src="https://c1.staticflickr.com/4/3762/33272423241_24b55a72ce_b.jpg" alt="M 108"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32557485894/in/photostream/]]

Objekt: M109, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: 231x, Filter:-, Bedingungen: SQM-L 21.7, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[27.03.2022|27. März 2022 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2c5Bj4" title="M109"><img src="https://live.staticflickr.com/65535/52048062652_6cbe0d930e_c.jpg" alt="M109"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52047833918/in/photostream/lightbox/]]

Objekt: M13, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Bonilla, Zeitpunkt:  [[29.07.2016|29. Juli 2016 - Bonilla]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28408582414/in/datetaken/" title="M1344"><img src="https://c7.staticflickr.com/9/8422/28408582414_ccbfcd771d_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Objekt: M15, Teleskop: 14" f/4.6 Newton, Vergrößerung: 320x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Lange Rhön, Zeitpunkt:  [[24.09.2016|24. September 2016 - Lange Rhön]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29417626084/in/datetaken/" title="M15"><img src="https://c5.staticflickr.com/6/5304/29417626084_ef11925760_o.jpg" alt="M15"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Objekt: M16, M17 & M11, Kamera: astromod. Sony A6000 (APS-C) mit Sigma 56mm f1.4 @f1.7, Filter: STC-Multispectra Clip-Filter,  
10x60 sec, Bedingungen: SQM-L 21.7, [[Athos Star Campus]], [[19.09.2019|19. September 2020 - La Palma]], Omegon Astrotracker NS, Stacking in Sequator, Finale Bearbeitung in LR iOS

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50867009533/in/dateposted-public/" title="M11 &amp; Schildwolke"><img src="https://live.staticflickr.com/65535/50867009533_58256d1838_k.jpg" alt="M11 &amp; Schildwolke"></a>

Objekt: M17, Teleskop: 25" f/4 Newton, Vergrößerung: 125x & 178x, Filter: OIII, Ort:  [[Tivoli Astrofarm]], Zeitpunkt: [[10.06.2021|10. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6ev81z2323" title="M17"><img src="https://live.staticflickr.com/65535/52277459035_1d7272e502_h.jpg" alt="M17"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52157758241/in/photostream]]

Objekt: M17, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter:- & OIII, Bedingungen: SQM-L 21.56, Ort: PDA, Zeitpunkt: 02.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28951707711/in/datetaken/" title="M17"><img src="https://live.staticflickr.com/8476/28951707711_da6d89b0d2_b.jpg" alt="M17"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28407499494/in/datetaken/]]

Objekt: M20, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter:-, Bedingungen: SQM-L 21.8, Ort: PDA, Zeitpunkt:  04.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28408318974/in/datetaken/" title="Ohne Titel"><img src="https://live.staticflickr.com/8454/28408318974_60e8f0d6d0_b.jpg" alt="Ohne Titel"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28408318984/in/datetaken/]]

Objekt: M31, Teleskop: 10x50 Feldstecher (65° GF), Vergrößerung: 10x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Lange [[Rhön]], Zeitpunkt: [[9. & 10.10.2021|9. Oktober 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4qkU0K4nn1" title="M31"><img src="https://live.staticflickr.com/65535/52256380674_93fd922047_h.jpg" alt="M31"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52256380679/in/photostream/]]

Objekt: M31 & M33, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: Sigma 56mm f1.4, Filter:-, Blende: f1.7, Belichtungszeit: 60 sec, Bedingungen: SQM-L 21.7, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[28.12.2019|28. Dezember 2019 - Pinar de Araceli]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/q3gsk0" title="M31 &amp; M33"><img src="https://live.staticflickr.com/65535/49326979152_5acb5c4940_k.jpg" alt="M31 &amp; M33"></a>

Objekt: M33, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 56x & 114x, Filter: -, Bedingungen: SQM-L 21.4, Ort: RDLM, Zeitpunkt: 02.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24935387026/in/datetaken/" title="M33"><img src="https://farm2.staticflickr.com/1544/24935387026_c6c05b2316_o.jpg"  alt="M33"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24935386736/in/datetaken/]]

Objekt: M35 & NGC 2168, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 80x, Filter:- SQM-L: 21.6, Ort: Lange [[Rhön]], Zeitpunkt: [[9.10.2021|9. Oktober 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/mB9699" title="M35 &amp; NGC 2168"><img src="https://live.staticflickr.com/65535/51689456914_9e8edd92a2_c.jpg" alt="M35 &amp; NGC 2168"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51686647538/in/photostream/]]

Objekt: M42/43 & NGC 1975, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 114x, Filter:OIII, Bedingungen: SQM-L 21.8, Ort: La Podona, Zeitpunkt: 05.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/25347752205/in/datetaken/" title="m42_2"><img src="https://farm2.staticflickr.com/1476/25347752205_83404abaf5_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24721002533/in/datetaken/]]

Objekt: M42 - Zentrum, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.76, Ort: Puerto de la Losa, Zeitpunkt: [[27.12.2016|27. Dezember 2016 - Pinar de Araceli]], Norden ist unten

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32039661552/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/1/633/32039661552_33ae2f9873_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32187825655/in/datetaken/]]

Objekt: M5, Teleskop: 21" f/3.8 Dobson mit Binoansatz, Vergrößerung: ca. 140x, Filter:-, Bedingungen: SQM-L 21.8, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[24.03.2022|24. März 2022 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/R87610" title="M5"><img src="https://live.staticflickr.com/65535/52099682062_23d1c4ba78_c.jpg" alt="M5"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51978774588/in/photostream/]]

Objekt: M51, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x & __290x__, Filter: -, Bedingungen: SQM-L 21.9, Ort: Lange [[Rhön]], Zeitpunkt: [[24.03.2020|24. März 2020 - Coronanacht in der Langen Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/J2j602" title="M51"><img src="https://live.staticflickr.com/65535/49708936131_cf3094f20e_c.jpg" alt="M51"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49708400533/in/photostream/]]

Objekt: M53, Teleskop: 21" f/3.8 Dobson mit Binoansatz, Vergrößerung: ca. 140x, Filter:-, Bedingungen: SQM-L 21.8, Ort: [[Stumpertenrod]], Zeitpunkt:  [[09.03.2022|9. März 2022 - Stumpertenrod]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7iF5VY" title="M53"><img src="https://live.staticflickr.com/65535/51979260510_2d4925dfbe_c.jpg"  alt="M53"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51978774588/in/photostream/]]

Objekt: M56, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter:-, Bedingungen: SQM-L 21.2, Ort: Stumpi, Zeitpunkt: [[04.10.2016|4. Oktober 2016 - Stumpertenrod]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29612353084/in/datetaken/" title="Untitled"><img src="https://c5.staticflickr.com/6/5340/29612353084_b46527d5c3_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Objekt: M57 - Halo, Teleskop: 25" f/4 Newton, 
Vergrößerung: 100 & 278x, Filter: OIII & UHC, Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[7. & 8. & 9.08.2018|9. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/44553714001/in/dateposted-public/" title="M57 Halo"><img src="https://farm2.staticflickr.com/1890/44553714001_faee79221a_c.jpg" alt="M57 Halo"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/44504281932/in/dateposted-public/]]

Objekt: M57, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420x, Filter:-, Bedingungen: SQM-L 21.4, Ort: Lange Rhön, Zeitpunkt: 24.09.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29885615431/in/datetaken/" title="M57"><img src="https://live.staticflickr.com/8096/29885615431_c2ca843c70_b.jpg" alt="M57"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29854828762/in/datetaken/]]

Objekt: M64, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: 231x, Filter:-, Bedingungen: SQM-L 21.45, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[25.03.2022|25. März 2022 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/WDkgx8" title="M64"><img src="https://live.staticflickr.com/65535/52025354702_a673f68532_c.jpg" alt="M64"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52026429588/in/photostream/]]

Objekt: M66, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65, 114 & 290x, Filter: -, Bedingungen: SQM-L 21.9, Ort: Muela de San Juan, Zeitpunkt: [[31.12.2018|31. Dezember 2018 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/4NT0sB" title="M66"><img src="https://farm8.staticflickr.com/7814/40364062383_a2eb704613_c.jpg" alt="M66"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40364062363/in/photostream/]]

Objekt: M71, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Wasserkuppe, Zeitpunkt:  [[28.11.2016|28. November 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31341777840/in/datetaken/" title="M71"><img src="https://c1.staticflickr.com/1/475/31341777840_056330f7cc_b.jpg" alt="M71"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Objekt: M74, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114 & 290x, Filter: -, Bedingungen: SQM-L 21.9, Ort: [[Muela de San Juan|Alto Tajo]], Zeitpunkt: [[31.12.2018|31. Dezember 2018 - Muela de San Juan]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/A30te8" title="M74"><img src="https://live.staticflickr.com/65535/49588300801_10a72e1f22_c.jpg" alt="M74"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49197416127/in/datetaken/]]

Objekt: M 76, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420x, Filter:-, Bedingungen: 21.76, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33101921461/" title="M 76"><img src="https://c1.staticflickr.com/4/3737/33101921461_05b93ce6a0_o.jpg" alt="M 76"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32386057174/in/photostream/]]

Objekt: M77, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Nablanca, Zeitpunkt: [[31.12.2016|31. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32632831982/in/datetaken/" title="M77"><img src="https://c1.staticflickr.com/1/349/32632831982_d6068295d8_b.jpg" alt="M77"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32785963375/in/datetaken/]]

Objekt: M78, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114 & 178x, Filter: -, Bedingungen: SQM-L 21.7, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[28.12.2019|28. Dezember 2019 - Pinar de Araceli]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/if82q0" title="M78"><img src="https://live.staticflickr.com/65535/49374297197_c8c56cc15b_c.jpg" alt="M78"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49373638433/in/photostream/]]

Objekt: M79, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31372153163/in/datetaken/" title="Untitled"><img src="https://c4.staticflickr.com/1/744/31372153163_8164d5581e_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Objekt: M8 & Friends, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: Sigma 55mm f1.4, Filter:-, Blende: f2.2, Belichtungszeit: 8 x 91sec, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[27.05.2019|27. Mai 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/14B0yK" title="M8 &amp; Friends"><img src="https://live.staticflickr.com/65535/48846111363_75353214e8_k.jpg" alt="M8 &amp; Friends"></a>

Objekt: M81 & Holmberg IX, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x & 114x, Filter: -, Bedingungen: SQM-L 21.9, Ort: [[Pinar de Araceli|Pinar de Araceli (PDA)]] & [[Roque de los Muchachos|Roque de los Muchachos (RDLM)]], Zeitpunkt: [[30. & 31.12.2019|31. Dezember 2019 - Pinar de Araceli]] & [[18.01.2020|18. Januar 2020 - La Palma]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/32K9Q6" title="M81 &amp; Holmberg IX"><img src="https://live.staticflickr.com/65535/49586867716_f292ee92c9_c.jpg" alt="M81 &amp; Holmberg IX"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49586375928/in/photostream/]]

Objekt: M81 & M82, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168x, Filter:-, Bedingungen: SQM-L 21.72, Ort: Trocha del Reventon, Zeitpunkt: 08.04. & 09.04.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/27055580646/in/datetaken/" title="M81 &amp; 82"><img src="https://farm8.staticflickr.com/7473/27055580646_d42ff685fb_o.jpg" alt="M81 &amp; 82"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26483972834/in/datetaken/]]

<div class="tc-link-info-item-medium" style="float:left;  margin-right:15px; margin-bottom:15px;">

![[M81 - Bodes Galaxie|M81]]

{{M81}}

</div>

Im Frühjahr verabschiedet sich die Wintermilchstraße und macht einem fast „leeren“ Frühjahrshimmel platz. Dieser ist jedoch reich an Galaxien und eine strebt besonders zeitig dem Zenit entgegen. Es ist  M81, die mit M82 ein sehr interessantes Paar bildet. Um Letztere soll es hier aber nicht gehen. Trotzdem soll sie hier kurz erwähnt sein, damit man beim Aufsuchen nicht erschrickt 😂

!!M81 ist am besten im Frühjahr sichtbar

Idealerweise nutzt man eine Beobachtungsnacht im beginnenden Frühjahr, um sich den spektakulären Objekten des Winters zu widmen. Anschließend kann man dann in der zweiten Nachthälfte zu den „Frühjahrsgalaxien“ übergehen. Je nach Beobachtungsort ist M81 sogar das ganze Jahr beobachtbar. 

Die Wintermilchstraße strebt bereits in der ersten Nachthälfte dem Untergangshimmel entgegen. Das helle Milchstraßenband ist aber auf 50° nördlicher Breite teilweise zirkumpolar (M81 übrigens auch) und verweilt daher in Horizontnähe und wartet auf die nächste Gelegenheit, die sich dann in der zweiten Nachthälfte bietet, um das Himmelszelt wieder langsam zu erklimmen. Dann ist es die Sommermilchstraße, die bereits den kommenden Sommer ankündigt.

M81 ist eine der ersten Galaxien, die am Frühjahrshimmel gut beobachtet werden kann. Die Galaxie kulminiert Mitte März gegen 23:00 Uhr. 

!!Bodes Galaxie

Die Galaxie wurde am 31. Dezember 1774 von Johann Elert Bode entdeckt. Er hat in dergleichen Nacht auch M82 entdeckt. M81 gehört zur gleichnamigen Galaxiengruppe und hat auch einen kleinen Begleiter in Form einer Zwergalaxie. Die M81-Gruppe wiederum gehört zum [[Virgo-Superhaufen|https://de.wikipedia.org/wiki/Virgo-Superhaufen]], der wiederum der Lokalen-Gruppe angehört. M81 ist die dritthellste Galaxie am Nordhimmel.

!!M81 mit bloßem Auge ist ein echte Herausforderung

M81 ist tatsächlich hell, aber dabei diffus. Die Helligkeit ist lt. ~SkySafari 6.77 mag. Unter perfekten Bedingungen kann man sie bereits mit bloßem Auge indirekt erkennen. Mir ist es tatsächlich selbst einige Male von La Palma aus gelungen. Vom Schwierigkeitsgrad her würde ich sagen, dass sie noch mal deutlich schwieriger als M33 (5.79 mag) ist. Wenn man M33 sicher erspähen kann, dann kann man auch M81 versuchen.

!!Im Feldstecher und im mittelgroßen Dobson

Im Feldstecher und unter dunklem Himmel ist die Galaxie als ovaler, erstaunlich heller Fleck erkennbar. Wie gesagt, bildet sie mit M82 ein schönes Paar. Im Teleskop ab ca. 100 facher Vergrößerung ist sie lohnend beobachtbar, wobei sich aber zunächst ein heller, diffuser Kern zeigt und ein ovaler ebenfalls heller Galaxienkörper ohne weitere Struktur. Bei geduldiger Beobachtung löst sich dieser jedoch bzgl. der Homogenität auf und es zeigen sich zwei zarte Spiralarme, die sich um das Zentrum winden. Diese sind stückweise mal heller und wieder dunkler und werden auch vom Zentrum kommend breiter, um dann wieder schmaler, fast schon haarähnlich auszulaufen.

Im Galaxienkörper selbst sind einige z.T. schwache Sterne zu erkennen. Schwierig ist ein Stern (13.6 mag) direkt neben dem Zentrum. Er zeigt sich erst bei geduldiger Beobachtung und man erkennt dann auch erst, dass das Zentrum der Galaxie nur sehr wenig daneben liegt. Ich denke dazu sind ca. 14 Zoll mindestens notwendig. Möglicherweise geht das aber auch schon mit 12 Zoll. Am Zentrum selbst ist eine unscheinbare Dunkelwolke zu erkennen, dies jedoch sehr schwer. Dabei lohnt es sich auch höher zu vergrößern, in meinem Fall auf 168 fach. Ideal sind jedoch geringere Vergrößerungen. Hier kann man seinen gesamten Okularkoffer durchprobieren.

Erwähnenswert ist weiterhin die Zwerggalaxie Holmberg IX, die etwas außerhalb in einem Sternenviereck steht und die überraschenderweise einfach erkannt werden kann. Sie zeigt sich jedoch lediglich als nahezu runde, strukturlose Aufhellung. Wie bereits erwähnt ist sie ein echter Begleiter von M81.

Die Galaxie „lebt“ von einem dunklen Himmel. Ich habe für die Zeichnung perfekte Bedingungen in der [[Sierra de Segura|30. Dezember 2019 - Pinar de Araceli]] gehabt. Nur wenige Wochen später, war ich auf [[La Palma|18. Januar 2020 - La Palma]], wo die Bedingungen noch mal besser waren. M81 hat von den besseren Bedingungen profitiert.

Insgesamt ist folgendes zu beachten, will man M81 lohnend beobachten:

*einen Beobachtungsplatz mit möglichst wenig Lichtverschmutzung aufsuchen und
*eine gute Transparenz des Himmels, um die schwachen und diffusen Außenbereiche zu erkennen sowie
*gutes Seeing für die Wahrnehmung der schwachen Sterne im Galaxienkörper.

Es müssen also schon wirklich gute Bedingungen zusammenkommen, um bei dieser Galaxie alles „herauszuholen“.

Objekt: M83, Teleskop: 25" f/4 Newton, Vergrößerung: 278x, Filter:-, Ort:  [[Tivoli Astrofarm]], Zeitpunkt: [[09.06.2021|09. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/t5BQ10fGK4" title="M83"><img src="https://live.staticflickr.com/65535/52241178334_5897002cf5_h.jpg" alt="M83"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52240887721/in/photostream/]]

Objekt: M87 + Jet, Teleskop: 25" f/4 Newton, 
Vergrößerung: 700 fach, Filter: -, Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkt: 18.05.2015 23:55 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/19203846601" title="M87_2 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/489/19203846601_b7ee5c0e41_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/19200208865]]

Objekt: M88, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 168x, __290x__, Filter: -, Bedingungen: SQM-L 21.85, Ort: Lange [[Rhön]], Zeitpunkt: [[06.03.2021|6. März 2021 - Lange Rhön]], Seeing 2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/5yF44J" title="M88"><img src="https://live.staticflickr.com/65535/51038957601_f7114344dc_c.jpg" alt="M88"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51038227433/in/dateposted/]]

Objekt: M97, Teleskop: 14" Newton f4.6, Vergrößerung: 114 - 290x, Filter: UHC, Bedingungen: SQM-L 21.6, Ort: Lange Rhön, Zeitpunkt: 08.06.2016

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/27404623352/in/datetaken/" title="M97"><img src="https://c1.staticflickr.com/8/7347/27404623352_423f784129_o.jpg"  alt="M94"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27440978232/in/photostream/]]

Objekt: Markarian's Chain, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Reventón, Zeitpunkt: [[26.01.2017|26. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32430031213/" title="Markarian&#x27;s Chain"><img src="https://c1.staticflickr.com/4/3699/32430031213_0e5a41a826_o.jpg" alt="Markarian&#x27;s Chain"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32430031223/in/photostream/]]

Objekt: Mars, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x & __420x__, Filter:-, Ort: Campos de Hernan Perea, Zeitpunkt: [[24.12.2022|23. Dezember 2022 - Campos de Hernan Perea]], Seeing: 1-2, ca. [[0,7"|https://w3.caha.es/SEEING/HISTORIC/hgrafica.php?dd=23&mm=12&yy=2022]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/WgqjH115Q2" title="Mars am 24.12.2022"><img src="https://live.staticflickr.com/65535/52596263451_455985d324_c.jpg" alt="Mars am 24.12.2022"></a>

Objekt: Mayall-Cannon 18, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 & 1200x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[03.06.2019|03. Juni 2019 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1E34W7" title="My-Cn 18"><img src="https://live.staticflickr.com/65535/48967653428_d2bf68e5d2_c.jpg" alt="My-Cn 18"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48967653433/in/photostream/]]

Objekt: Menzel 1, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.7, Ort: Tivoli Astrofarm, Zeitpunkt: [[21.05.2017|21. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35191304812/in/datetaken-public/" title="Menzel 1"><img src="https://c1.staticflickr.com/5/4215/35191304812_a3d031373b_o.jpg" alt="Menzel 1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35357839985/in/datetaken-public/]]

Objekt: Menzel 2, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.63, Ort:  Tivoli Astrofarm, Zeitpunkt: [[21.05.2017|21. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/36263511171/in/datetaken-public/" title="Menzel 2"><img src="https://farm5.staticflickr.com/4385/36263511171_1bd425b9b1_c.jpg" alt="Menzel 2"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36400467425/in/datetaken-public/]]

Objekt: Menzel 3, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.63, Ort:  Tivoli Astrofarm, Zeitpunkt: [[26.05.2017|26. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36101630460/in/datetaken-public/" title="Menzel 3"><img src="https://farm5.staticflickr.com/4393/36101630460_0319a90c23_c.jpg" alt="Menzel 3"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36452241216/in/datetaken-public/]]

Objekt: Minkowski 1-13, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 600x, Filter:-, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[12.01.2018|12. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41159199260/" title="Minkowski 1-13"><img src="https://farm2.staticflickr.com/1790/41159199260_fcc694bdf8_c.jpg" alt="Minkowski 1-13"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41159199300/in/photostream/]]

Objekt: Minkowski 1-18, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: OIII, Bedingungen: SQM-L 21.82, Ort: Nablanca, Zeitpunkt: [[26.12.2016|26. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31341136014/in/datetaken/" title="Untitled"><img src="https://c7.staticflickr.com/1/749/31341136014_e8c6b5e186_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32144407536/in/datetaken/]]

Objekt: Minkowski 1-32, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800 fach, Filter:-, Bedingungen: SQM-L 21.83, Ort: Pinar de Araceli, Zeitpunkt: [[21.07.2017|21. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/35885182083/in/datetaken/" title="Minkowski 1-32"><img src="https://farm5.staticflickr.com/4433/35885182083_b95c28cb50_c.jpg" alt="Minkowski 1-32"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36648850646/in/datetaken/]]

Objekt: Minkowski 1-33, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 & 1200x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[10.06.2019|09. Juni 2019 - Tivoli Astrofarm]], Seeing 2-3

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/xSB28c" title="Minkowski 1-33"><img src="https://live.staticflickr.com/65535/48073791318_07cb8efc19_c.jpg" alt="Minkowski 1-33"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48073791333/in/photostream/]]

Objekt: Minkowski 1-47, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 & 1200x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[10.06.2019|09. Juni 2019 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/wT9gj8" title="Minkowski 1-47"><img src="https://live.staticflickr.com/65535/48074026862_75e11ba37b_c.jpg" alt="Minkowski 1-47"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48073791333/in/photostream/]]

Objekt: Minkowski 1-53, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[09.07.2018|9. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41847857140/in/photostream/" title="Minkowski 1-53"><img src="https://farm1.staticflickr.com/839/41847857140_7eda1fd16f_c.jpg" alt="Minkowski 1-53"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41847857150/]]

Objekt: Minkowski 1-54, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800 fach, Filter:-, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[23.07.2017|23. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/35665922974/in/datetaken-public/" title="Minkowski 1-54"><img src="https://farm5.staticflickr.com/4417/35665922974_0a12f9bb62_c.jpg" alt="Minkowski 1-54"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36454589736/in/datetaken-public/]]

Objekt: Minkowski 1-56, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800x, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[09.07.2018|9. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43050980714/" title="Minkowski 1-56"><img src="https://farm2.staticflickr.com/1796/43050980714_58522c880f_c.jpg" alt="Minkowski 1-56"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43050980754/]]

Objekt: Minkowski 1-57, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 & 1200x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[10.06.2019|09. Juni 2019 - Tivoli Astrofarm]], Seeing 2-3

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/169Xg4" title="Minkowski 1-57"><img src="https://live.staticflickr.com/65535/48073848597_0c3052a893_c.jpg" alt="Minkowski 1-57"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48073788078/in/photostream/]]

Objekt: Minkowski 1-64, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800 fach, Filter:-, Bedingungen: SQM-L 21.86, Ort: Pinar de Araceli, Zeitpunkt: [[20.07.2017|20. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/36407672985/in/datetaken-public/" title="Minkowski 1-64"><img src="https://farm5.staticflickr.com/4377/36407672985_294f52866a_c.jpg" alt="Minkowski 1-64"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36407673075/in/datetaken-public/]]

Objekt: Minkowski 1-7, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter: -, Bedingungen: SQM-L 21.76, Ort: Llanos de las Animas, Zeitpunkt: [[13.01.2018|13. Januar 2018 - La Palma]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41593215415/in/dateposted-public/" title="Minkowski 1-7"><img src="https://farm1.staticflickr.com/898/41593215415_e36bb7185d_c.jpg" alt="Minkowski 1-7"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41593215405/in/dateposted-public/]]

Objekt: Minkowski 1-79, Teleskop: 14" f/4.6 Newton, Vergrößerung: 430 fach, Filter: OIII, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[15.10.2017|15. Oktober 2017 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24133832718/in/photostream/" title="Minkowski 1-79"><img src="https://farm5.staticflickr.com/4459/24133832718_241c30aac6_c.jpg" alt="Minkowski 1-79"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/37275803474/in/photostream/]]

Objekt: Minkowski 1-8, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800x, Filter:-, Bedingungen: SQM-L 21.9, Ort: Roque de los Muchachos, Zeitpunkt: [[12.01.2018|12. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40201509741/" title="Minkowski 1-8"><img src="https://farm5.staticflickr.com/4744/40201509741_855edb5177_c.jpg"  alt="Minkowski 1-8"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/39489947414/in/photostream/]]

Objekt: Minkowski 1-80, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290-800 fach, Filter:-, Bedingungen: SQM-L 21.6, Ort: Pinar de Araceli, Zeitpunkt: [[22.07.2017| 22. Juli 2017 - Campos de Hernan Perea]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36305371683/in/datetaken-public/" title="Minkowski 1-80"><img src="https://farm5.staticflickr.com/4435/36305371683_4bfa197c1c_c.jpg" alt="Minkowski 1-80"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36305371633/in/datetaken-public/]]

Objekt: Minkowski 1-92 - Minkowski's Fußabdruck, Teleskop: 14" f/4.6 Newton, Vergrößerung: 1700 fach, Filter:-, Bedingungen: SQM-L 21.86, Ort: Pinar de Araceli, Zeitpunkt: [[20.07.2017|20. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/36408275875/in/datetaken-public/" title="Minkowski 1-92"><img src="https://farm5.staticflickr.com/4416/36408275875_64dcbab81f_c.jpg" alt="Minkowski 1-92"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36408275995/in/datetaken-public/]]

Objekt: Minkowski 2-15, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[10.07.2018|10. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43766817641/" title="Minkowski 2-15"><img src="https://farm1.staticflickr.com/936/43766817641_d608f95708_c.jpg" alt="Minkowski 2-15"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29896315018/in/photostream/"]]

Objekt: Minkowski 2-2, Teleskop: 14" f/4.6 Newton, Vergrößerung: 430 fach, Filter: OIII, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[15.10.2017|15. Oktober 2017 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37931972786/in/photostream/" title="Minkowski 2-2"><img src="https://farm5.staticflickr.com/4461/37931972786_39bbe91de9_c.jpg" alt="Minkowski 2-2"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26209041039/in/photostream/]]

Objekt: Minkowski 2-51, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290 fach, Filter: UHC, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[14.10.2017|14. Oktober 2017 - Wasserkuppe]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/37846918131/in/datetaken-public/" title="Minkowski 2-51"><img src="https://farm5.staticflickr.com/4463/37846918131_acf307028b_c.jpg" alt="Minkowski 2-51"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/23994423968/in/datetaken-public/]]

Objekt: Minkowski 2-53, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 900x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[04.01.2019|04. Januar 2019 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40265300333/in/dateposted/" title="Minkowski 2-53"><img src="https://farm8.staticflickr.com/7896/40265300333_d5baabab28_c.jpg" alt="Minkowski 2-53"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40265300323/in/photostream/]]

Objekt: Minkowski 2-55, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290 & 420 fach, Filter:-, Bedingungen: SQM-L 21.83, Ort: Pinar de Araceli, Zeitpunkt: [[21.07.2017|21. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/37117824915/in/datetaken-public/" title="Minkowski 2-55"><img src="https://farm5.staticflickr.com/4418/37117824915_82158ba4ec_c.jpg" alt="Minkowski 2-55"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/37117825025/in/datetaken-public/]]

Objekt: Minkowski 2-9, Teleskop: 25" f/4 Newton, Vergrößerung: __454__ & 670x, Filter:-, Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[6.08.2018|6. August 2018 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4Mu5G5" title="Mn 2-9"><img src="https://live.staticflickr.com/65535/49187939261_7f942b61e2_c.jpg" alt="Mn 2-9"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49187441863/in/photostream/]]

[[Minkowski 2-9 mit 14 Zoll|https://www.flickr.com/photos/106029581@N02/36800383095/in/datetaken/]]

Objekt: Minkowski 3-1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430 - 800 fach, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[04.04.2019|04. April 2019 - La Palma]], Seeing 1

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/ko9rrb" title="Minkowski 3-1"><img src="https://live.staticflickr.com/65535/47645036582_c3d1ac3793_c.jpg" alt="Minkowski 3-1"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47645036602/in/photostream/]]

Objekt: Minkowski 3-3, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.76, Ort: Llanos de las Animas, Zeitpunkt: [[13.01.2018|13. Januar 2018 - La Palma]], Seeing 4

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/27581133078/in/datetaken-public/" title="Minkowski 3-3"><img src="https://farm1.staticflickr.com/788/27581133078_fef6aefd1e_c.jpg" alt="Minkowski 3-3"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27581132808/in/datetaken-public/]]

Objekt: Minkowski 3-30, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[10.06.2019|09. Juni 2019 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2jQVZp" title="Minkowski 3-30"><img src="https://live.staticflickr.com/65535/49631065346_9737f01971_c.jpg" alt="Minkowski 3-30"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49631334712/in/photostream/]]

Objekt: Minkowski 3-31, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800 fach, Filter:-, Bedingungen: SQM-L 21.6, Ort: Campos de Hernan Perea, Zeitpunkt: [[22.07.2017|22. Juli 2017 - Campos de Hernan Perea]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36332112832/in/datetaken-public/" title="Minkowski 3-31"><img src="https://farm5.staticflickr.com/4390/36332112832_f15249e897_c.jpg" alt="Minkowski 3-31"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35691564123/in/datetaken-public/]]

Objekt: Minkowski 4-11, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420 fach, Filter:-, Bedingungen: SQM-L 21.6, Ort: Pinar de Araceli, Zeitpunkt: [[22.07.2017|22. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36981498135/in/photostream/" title="Minkowski 4-11"><img src="https://farm5.staticflickr.com/4428/36981498135_9a07fed205_c.jpg" alt="Minkowski 4-11"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36584504580/in/dateposted/]]

Objekt: Minkowski 4-17, Teleskop: 14" f/4.6 Newton, Vergrößerung: 1700 fach, Filter:-, Bedingungen: SQM-L 21.84, Ort: Pinar de Araceli, Zeitpunkt: [[24.07.2017|24. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36648682896/in/datetaken-public/" title="Minkowski 4-17"><img src="https://farm5.staticflickr.com/4394/36648682896_b8c7aa54dd_c.jpg" alt="Minkowski 4-17"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36648682646/in/datetaken-public/]]

Objekt: Minkowski 4-9, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800 fach, Filter:-, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[23.07.2017|23. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36496395652/in/datetaken-public/" title="Minkowski 4-9"><img src="https://farm5.staticflickr.com/4411/36496395652_01479ec028_c.jpg" alt="Minkowski 4-9"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36527404751/in/datetaken-public/]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29817418128/" title="Mondfinsternis"><img src="https://farm1.staticflickr.com/941/29817418128_70436b1786_h.jpg" alt="Mondfinsternis"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Ich hatte bereits eine Woche zuvor geplant auf den kleinen Feldberg im Taunus zu fahren, um die Mondfinsternis zu verfolgen. Gute Horizontsicht ist ja notwendig, damit man den bereits bei Aufgang von der Erde bedeckten Vollmond erkennen konnte. Gegen 20:15 Uhr trafen wir auf dem kleinen Feldberg bei Frankfurt ein. Mit dabei sind Kind und Kegel. Die Parkplätze am Aussichtsturm sind bereits belegt und es zeichnet sich schon jetzt ab, dass es hier zu einem Verkehrschaos kommen sollte. Deshalb verlassen wir die Bergspitze schnell wieder und suchen in Oberreifenberg nach einem Ausweichplatz. Der einzige Platz der sich anbot war ein Sportplatz, direkt an der Straße und quasi mitten im Dorf. Wir brauchen aber einen Platz, wo wir mit dem Auto drauf fahren konnten, um die beiden kleinen drei und vier Zoll Refratoren aufbauen zu können. So irren wir weiter mit dem Auto in der Nähe des Feldbergs herum, bis wir schließlich am Opel Zoo vorbei kommen und auch dort Trauben von Menschen an der Straße standen. Da entscheiden wir schließlich doch wieder zum Feldberg hoch zu fahren, aber diesmal von der anderen Seite. Aber kaum näherten wir uns dem Gipfel standen wir im Stau. Wir konnten kaum glauben, dass alle diese Menschen die Mondfinsternis sehen wollten und fabulierten von einem Konzert o.ä. 

!!Feld hinter Königsstein an der B519

Schließlich begreifen wir, dass außer einer Wiese in der Nähe des Opel Zoos kein Ort mehr infrage kommen würde. Als wir schließlich zurück fahren und in Königsstein die falsche Ausfahrt nehmen, sehen wir einige Autos auf eine Wiese einbiegen. Das machen wir natürlich auch und stehen auf einem Feld, um von den Leuten nicht gestört werden. Vom Mond war immer noch nichts zu sehen. Wir warten, bis die Dämmerung weiter voran schreitet und dann taucht er auf. Offenbar hatten Wolken die Durchsicht soweit eingeschränkt, dass man ihn beim Aufgang nicht erkennen konnte. Denn jetzt steht er schon einige Grad über dem Horizont. 

Wir schauen uns das Spektakel an und können den Mond während der totalen Phase wunderschön in unseren beiden Teleskopen sehen. Bei den Kindern ist das Interesse schnell abgeflaut. 

!!Ein Jäger macht Ärger 

Dummerweise blockieren wir offensichtlich einen Weg, da mittlerweile schon zwei Autos versucht haben an uns vorbei zu kommen. Beim dritten Versuch nähert sich sogar ein Jeep mit Standlicht. Ein Mann steigt aus und gibt sich als Jäger zu erkennen und findet das gar nicht gut, dass wir hier mit dem Auto stehen. Erklärt, dass unsere Anwesenheit das Wild verscheuchen würde. Und das für Wochen. Ich entschuldige mich artig. Verspreche nie wieder hierher zu kommen (was ich tatsächlich machen werde so grottig wie der Himmel hier ist und das Theater). Ich versuche ihm noch zu vermitteln, dass momentan eine Mondfinsternis stattfindet und er entgegnet, dass er heute draußen sei da Vollmond sei. Ich ergänze, dass der Mond im Moment noch im Erdschatten verweilt. Das war ihm noch gar nicht aufgefallen. Und ich biete einen Blick durch das Teleskop an. Kommt offenbar gut an und seine Begleiterin schaut auch. Dann soll ich durch das Nachtsichtgerät schauen und er zeigt mir wie viel Leute am Feldrand noch stehen. Ich verspreche schließlich, dafür zu sorgen, dass die Lichter an meinem Auto aus bleiben und erkläre zusätzlich, dass ich bald weg sei. Er ist zufrieden und fährt schließlich. Blöd das diese Diskussion wieder kostbare Beobachtungszeit gekostet hat.

Ich schieße noch ein paar Fotos und bin erstaunt, dass meine afokal am ES 25mm und TMB 100/800 befestigte Sony RX 100 Kompaktkamera so gute Fotos macht. Und das ganz ohne Nachführen.

Gegen 23 Uhr war die totale Phase bereits vorüber und der Mond wurde deutlich heller. Wir packen schließlich also alles zusammen und fahren wieder nach Hause. Die Menschenansammlung am Rand des Feldes hatte sich schon komplett aufgelöst und niemand war mehr da. 

Ich bin immer noch geschockt. Komme ja gerade von einer Exkursion aus Spanien zurück und habe da nachts nie einen Menschen oder irgendwo ein Auto in der Nähe meiner Beobachtungsplätze gesehen. Hier ist die 200 m entfernte Straße deutlich zu hören und - wie gesagt - haben mich drei Autos passiert, sowie eine nächtliche Wandergruppe. 

Das Video zeigt den Monduntergang über dem Atlantik. Unten sieht man einen weiteren Beobachter.

<iframe src="https://player.vimeo.com/video/259503009" width="340" height="600" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe> <p><a href="https://vimeo.com/259503009">Moonlight and Zodiacal Light over the Atlantic Ocean</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24578297796/in/datetaken/" title="Morning Zodiacal Light"><img src="https://farm2.staticflickr.com/1663/24578297796_cd3ff0be1f_z.jpg" alt="Morning Zodiacal Light"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Das Foto zeigt die Morgenzodikallichtpyramide im Osten, die bis zum Zenit aufsteigt. Am Horizont Venus und Saturn. Der Jupiter passiert den Meridian.

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Dez 2018/Jan 2019 in Spanien mit einem 14 Zoll Dobson gezeichnet habe:

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<div class="tc-subtitle">Posted <$view field="created" format="relativedate"/></div>

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Das Video zeigt den Nachthimmel über der Muela de San Juan. Die Kamera ist dabei auf den Zenit ausgerichtet.

<iframe width="560" height="315" src="https://www.youtube.com/embed/YpQuxxhgCNQ" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Ein interessanter Vergleich. Ich muss zugeben, dass ich bzgl. deutscher Standorte negativ voreingenommen bin. Dies liegt vermutlich daran, das ich lange Zeit unter dem lichtverschmutzten Himmel des Rhein-Main Gebiets beobachtet habe, zunächst in der Nähe von Mainz, dann Bingen, später im Taunus hinter Wiesbaden.

Dort war i.d.R. die Wintermilchstraße praktisch unsichtbar. Darüber hinaus hat mich das schlechte Wetter in den Süden "getrieben" und so ließen sich bedingt  durch Wetter- und Jahreszeiten, sowie Exkursionen in den Süden nur wenige Beobachtungsnächte realisieren ([[s.a. Logbuch|Logbuch]]).

!!Wetterbedingungen Rhön

Ich fahre zum Beobachten seit 2014 in die Rhön. Sie ist mein Hauptbeobachtungsstandort in Deutschland. Von Frankfurt mit dem Auto in ca. 1.5 h erreichbar. Anfang Mai ist hier noch ca. vier Stunden astronomische Nacht. Im Juni und Juli hingegen beobachte ich hier nicht. Erst ab Ende August sind die Bedingungen ähnlich wie Anfang Mai. Ab Oktober sind die Wetterbedingungen in der Rhön deutlich schlechter und praktisch über den Winter kaum möglich. Ausnahmen im Oktober (goldener Herbst) und Februar (kaltes klares Winterwetter) sind möglich, aber unwahrscheinlich. Mit Einsetzen des Frühlings steigen die Chancen im März und April. Damit sind als klassische Beobachtungsmonate nur März, April, Mai, August & September möglich. Also insgesamt nur fünf Monate, wo die Chance auf astronomische Beobachtungen bestehen. Die Transparenz ist in den Frühlingsmonaten deutlich besser und im Herbst bzw. Winter durch Nebel und Hochnebel geprägt. Für das "Schwarze Moor" in der Langen Rhön werden statistisch nicht umsonst im Jahr 200 Nebeltage angegeben.

!!Wetterbedingungen La Palma

Auf La Palma sind lt. den Statistiken des IAC über 300 klare Beobachtungsnächte im Jahr im Durchschnitt möglich. Praktisch ist es bei einem Aufenthalt von einer Woche unwahrscheinlich, dass es __keine__ klare Beobachtungsnacht gibt. Ab Ende Juni bis Ende August herrscht i.d.R. Calima, d.h. Saharastaub vor, der die Transparenz des Himmels stark einschränken kann (bis zu eine Magnitude). In der restlichen Zeit herrscht zumeist sonniges Wetter mit hervorragender Transparenz, dass hin und wieder durch Tiefausläufer des Atlantik unterbrochen wird. Hier dominiert aber klar das sonnige Wetter. 

!!Vergleich des Nachthimmels Rhön vs. La Palma

Hier nun zwei Fotos aufgenommen zur etwa gleichen Sternzeit. Die Sommermilchstraße hat etwa die gleiche Höhe über dem Horizont. Der Skorpion steht im Süden. Bis auf den Breitengrad zurückzuführenden Unterschiede handelt es sich um eine bzgl. Bildeindruck grundsätzlich identische Aufnahme. Die Aufnahmen sind beide unter den gleichen Kameraeinstellungen durchgeführt worden, d.h. Blende 1.8 mit 24mm im JPEG-Format, Belichtungszeit einer Einzelaufnahme 15 sec bei 6400 ASA. Als Kamera kam eine Sony RSX 100 III zum Einsatz. Die Bilder sind in Microsoft ICE zu einem Panorama zusammengesetzt worden. Eine Nachbearbeitung erfolgte nicht. Alle SQM-L Messungen wurden im Zenit gemacht.

__Tip:__ Zum Vergrößern der Fotos auf das Symbols >> oben rechts auf der Seite klicken.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/44526754715/in/dateposted-public/" title="Lange Rhön"><img src="https://farm2.staticflickr.com/1938/44526754715_ca19f145fc_k.jpg" alt="Lange Rhön"></a>

Sternenhimmel über der Rhön am 05.05.2016 um ca. 03:00 MESZ auf ca. 800m üNN, d.h. 01:00 UT, SQM-L 21.81.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25780691783/in/datetaken/" title="Pano 4000 länger"><img src="https://farm2.staticflickr.com/1463/25780691783_6892e2707f_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Sternenhimmel auf La Palma am 05.04.2016 um ca. 05:00 Ortszeit auf 1000m üNN, d.h. MESZ+1 oder 04:00 UT, SQM-L 21.76.

!!Bewertung

Die Aufnahme, die in der Rhön gemacht wurde, erscheint in den Ecken einen Ticken dunkler als die von La Palma, was zu den SQM-L Messungen 21.76 zu 21.81 grundsätzlich passt. Visuell ist dieser Unterschied kaum zu erkennen. Trotzdem sind auf der La Palma Aufnahme deutlich mehr Sterne erkennbar, insbesondere schwache. Dies deckt sich auch mit dem visuellen Eindruck, dass der Himmel in der Rhön von einem Grauschleier überzogen erscheint, was auch gut an hellen Sternen wie Vega erkennbar war, die  einen Ticken schwächer erschienen. Das Zauberwort heißt atmosphärische Extinktion (Abschwächung), die für jeden Beobachtungsort verschieden sein kann und in der Rhön offensichtlich etwas höher ist. Die unterschiedliche Höhenlage scheidet weitgehend aus, da 200m Höhenunterschied nicht die Welt sind und visuelle Beobachtungen von der Wasserkuppe (950m üNN) aus das Gesamtbild nicht verbessern. Als weiteres Vergleichsmotiv könnte sehr gut der nördliche Kohlensack herhalten, der aber auf der La Palma Aufnahme fehlt, da durch Bäume verdeckt. Ein Vergleich des Skorpions ist etwas unfair aus Sicht der Rhön, da er auf La Palma praktisch 22° höher steht. Es bietet sich aber die Sternenwolke im Schwan an. Sie erscheint in beiden Bildern nahezu identisch. Hingegen die Bereiche im Adler und Schild sind auf La Palma deutlich kräftiger zu erkennen. Hier zeigt sich, dass die in der Rhön vorhandene Lichtverschmutzung und insbesondere die in Horizontnähe abfallende Transparenz ein Nachteil der Rhön ist. 

In der Rhön kann man "La Palma Himmel" haben, wenn das Wetter außergewöhnlich gut ist. Dann zeigen sich in Zenitnähe vergleichbare Bedingungen, was die Himmelsqualität anbetrifft. Ab, ich würde schätzen, 60° nimmt sie im Vergleich zu La Palma stärker ab. Bei nicht optimalen Bedingungen deutlich stärker.
In der Rhön hat man im Herbst & Winter bei sehr guten Wetterbedingungen zu Beginn der astronomischen Dämerung in der Regel SQM-L Werte von 21.2. Im Verlaufe der Nacht steigen diese häufig bis auf 21.4 an. Auf La Palma hingegen liegen sie bei ca. 21.56 und steigen dann häufig auf 21.65. In guten Nächten auf 21.7 und sehr guten Nächten auf 21.85. In der Rhön liegen sie im Frühjahr in der Regel um 21.56 und steigen im Verlauf der Nacht auf 21.6. In Ausnahmenächten auf 21.7 und offenbar auch mal auf 21.8. 

!Fazit

In der Rhön ist "La Palma Himmel" fast möglich, aber wohl nur die Ausnahme. Insgesamt sieht man sehr schön, dass SQM-L Werte nicht alles sind. Auf La Palma hat man "La Palma Himmel", sofern es klar ist, praktisch immer. Transparenz ist offenbar fast alles. In der Rhön muss man dagegen excellente Wetterbedingungen vorfinden, um auf "Augenhöhe" zu sein. Ist nicht unmöglich, wie die Nächte im Mai 2016 zeigen. Ein ermutigendes Signal, dass auch aus Deutschland heraus noch sehr gute Deep Sky Beobachtungen unter dunklem und transparentem Nachthimmel möglich sind. Jubelberichte über Namibia oder La Palma in Deutschland haben somit zum Teil ihre Berechtigung, sollten aber weiterhin immer auch etwas kritisch hinterfragt werden. Namibia und La Palma sind nicht umsonst bekannte und perfekte Standorte für astronomische Beobachtungen. 

Das Video zeigt den Nachthimmel über dem [[Athos Star Campus]] (800m üNN).

<iframe width="560" height="315" src="https://www.youtube.com/embed/q8UPjD5aLX8" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Das Video zeigt den Nachthimmel über dem [[Pinar de Araceli|Pinar de Araceli (PDA)]] in der Sierra de Segura (1750m üNN).

<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/lbhUWQb3Qhs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Das Video zeigt den Nachthimmel über der Wasserkuppe.

<iframe src="https://player.vimeo.com/video/238983847" width="640" height="360" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<p><a href="https://vimeo.com/238983847">Night Sky - Wasserkuppe</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

Das Video zeigt den Nachthimmel über Garafía am Ferienhaus „El Colmenero“ (1030m üNN).

<iframe width="560" height="315" src="https://www.youtube.com/embed/CD5XNjgL54s" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6TYJMP" title="Setting Milky Way over Tivoli"><img src="https://live.staticflickr.com/65535/49873491331_5320c21af0_k.jpg" alt="Setting Milky Way over Tivoli"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script> 

Und der nächste Termin steht im Beobachtungskalender an. Es ist Namibia beziehungsweise Tivoli. Ich bin mittlerweile fast jedes Jahr unten und habe es nicht bereut. Diesmal bin ich - wie beim [[ersten Mal im Mai/Juni|Namibia Mai 2015]] - dort. Es ist insgesamt das vierte Mal. Und auch dieses Mal habe ich den 25 Zoll Dobson gemietet. Leider war ich etwas spät dran, denn ursprünglich war geplant, dass ich mit eigenem Gerät reise. So muss ich ausgerechnet die drei Tage um Neumond mit einem 24 Zoll Bino-Dobson vorlieb nehmen. Aber ich denke es gibt Schlimmeres. Ich bin dieses Mal mit Mathias (mit einem t und h) unten, einem bekannten Deep Sky Beobachter in Deutschland und Beobachtungspartner von der Wasserkuppe, den ich bereits seit einigen Jahren kenne.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/V64Pa5" title="Untitled"><img src="https://live.staticflickr.com/65535/48385626862_5a691f733c_k.jpg"></a>

Die Aufnahme oben ist ein dreiteiliges Mosaik, dass jeweils aus circa acht Aufnahmen besteht. Belichtungszeit waren 90 Sekunden bei Blende 2.2. Kamera war die Sony A6000 und Sigma 1.4/55mm.  Etwas bunt geraten, aber was soll’s 🤔

Als ich diese Zeilen schreibe, schaue ich die Anzahl der geplanten Nächte kurz an. Sechzehn. Uff!!! Da muss ich schauen, dass die Motivation die ganze Zeit hoch bleibt.

Kurz vor der Abreise musste ich mich zufällig einen Sehtest unterziehen. Mir wurde bescheinigt, dass ich mit Brille 100% Sehschärfe auf beiden Augen besitze.  Wahrscheinlich sogar mehr, aber dies gebe der Test leider nicht hier, wurde mir versichert. Somit steht also den visuellen Beobachtungen nichts im Weg. 

<div class="tc-link-info-item-medium" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/0b4d40"><img src="https://live.staticflickr.com/65535/48051037452_d9377e8bbb_b.jpg"></a>Ankunft in Windhoek.</div>

!!Flug und Anreise

Mich lockt und juckt es auch mal im April runter zufliegen, aber jedes Jahr scheint es da zu regnen. Wenn dann einen Neumond, der Anfang Mai liegt, so dass die Chancen auf gutes Wetter hoch sind. 

In Frankfurt steht eine Reisegruppe hinter mir, die nach Hakos will. Andere wiederum nach Kiripotib. Der Flug läuft sehr gut. Fast schon Routine. 

Reinhold holt mich morgens am Flughafen Windhoek ab. Wir verlassen den Flughafen während der Dämmerung. Wir treffen auf der Fahrt immer wieder auf Tiere. Reinhold erklärt, dass es dieses Jahr eine echte Dürre gäbe und die Tiere auf die Weide neben der Straße ausweichen müssten, denn nur dort gebe es noch Gras. 

!!Ankunft auf Tivoli 

Nach einem kurzen Frühstück gehe ich erstmal pennen. Nach dem Kaffee baue ich zusammen mit Reinhold den 25 Zöller auf. Ich bin der erste Gast für diesen Monat.
Ich habe noch ein Stück Seife vom letzten Jahr zuhause aufbewahrt. Nur wegen dem Duft. Crazy!! 

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/B7X1Me" title="Untitled"><img src="https://live.staticflickr.com/65535/47951697402_0bb8638677_k.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8">

!!25 Zoll Dobson & 24 Zoll Bino-Dobson

Habe wieder den 25 Zoll Dobson gemietet. Bin aber vor zwei Jahren nicht aus dem Quark gekommen, da ursprünglich geplant war mal mit dem eigenen Teleskop vorbeizuschauen. So ist der Dobson jetzt für drei Nächte weg. Genau zum Neumond. Bleibt als Alternative der Bino-Dobson mit zweimal 24 Zoll. Ein Monster. Ich habe ihn für drei Nächte. Im Vorfeld hatten mir Kollegen abgeraten...

!!24 Zoll Bino-Dobson

Der visuelle Eindruck ist sehr beeindruckend, was die Lichtsammelleistung anbelangt. Die Objekte sind nochmal deutlich heller als im 25 Zöller. Damit lassen sich selbst für visuelle Laien Extremobjekte wie der äußere Halo von NGC 3242 - „Jupiter‘s Geist“ beobachten. Auch die „Antennen“ des berühmtem Galaxienpaar sind praktisch „einfach“ zu sehen. Doch helle Objekte profitieren nicht automatisch. Viele Standardobjekte sind mit max. AP einfach nur hell und oft ohne Kontrast, z.B. der berühmte Silver Dollar. Andere hingegen profitieren ganz gut, wie M83. Großer Nachteil, vermutlich bauartbedingt, ist die Tatsache, dass man mit dem Gerät nicht hoch vergrößern kann. Max. Vergrößerung liegt bei 278 fach. Mathias und ich haben zwar unsere Ethos 3.7mm Okulare zusammen geworfen und reingesteckt, aber am Testobjekt, dem „Bug-Nebel“ außer der sehr hellen Grundform keine Details erkennen können. Das Gerät ist motorisiert und auch von Laien bedienbar. Mit ~GoTo lassen sich alle in ~ArgoNavis hinterlegten Objekten einstellen. Das Gerät fährt automatisch die Objekte an und führt sie auch nach. Das funktioniert auch praktisch. Einzige Bedingung lt. Reinhold: Für das Alignment müssen zwei Sterne ausgewählt werden, die in der Höhenwinkel (Deklination ist gemeint, aber anschaulich ist es die „Höhe“ mindestens 30° und im Stundenwinkel 60° auseinander liegen.
Letztlich ist das Gerät sehr speziell. Vielleicht sind deshalb nur Okulare mit geringer Vergrößerungen mit dabei. 

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;">
<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/skQSsP" title="Untitled"><img src="https://live.staticflickr.com/65535/48045287191_5d1f5a3e2c_h.jpg"></a>Fantastischer Sternenhimmel. Im Süden (unten) schleichen die Magellanschen Wolken entlang. Rechts unten ist der riesige GUM-Nebel zu sehen. Links geht die uns bekannte Sommermilchstraße auf und rechts die Wintermilchstraße unter. Nachgeführte Aufnahme mit astromodifizierter Sony A6000 und Meike 2/6.5mm 190° Fisheye 277s bei 800 ASA belichtet. Oben ist die Lichtbrücke zu sehen und oben rechts das Abendzodiakallicht.</div>

!!14 Zoll für Planeten 

Und natürlich Mathias‘s 14 Zoll Reisedobson darf ich an dieser Stelle natürlich nicht vergessen. Wir beobachteten stramm „Seit an Seit“. Häufig sehen die Planeten besser im 14 Zöller aus als im 25ziger.

!!Highlights

Zu den Beobachtungshighlights zählt sicherlich die Beobachtung mit dem 24 Zoll Bino-Dobson mit den o.a. Einschränkungen. 

!!!Jupiter & Saturn

Letztes Jahr war es ''Mars''. Dieses Jahr steht hingegen ein anderer Planet im Fokus: Jupiter, denn er steht auch in Opposition. Am 10. Juni erreicht er einen scheinbaren Durchmesser von 46“. Ich habe mir in ~SkySafari die kompletten Nächte die Jupitersimulation im Schnelldurchlauf bei hoher Vergrößerung reingezogen. Ziel war es sämtliche Transite zu identifizieren. Es gab insgesamt zwei Doppeltransite mit sogar Doppelschattendurchgängen und zwei bzw. drei einfache obendrauf. Sind direkt in den Beobachtungsplan eingeflossen. Dabei waren vor allem die interessant, die später nachts stattfinden, so daß der Spiegel bis dahin ausreichend ausgekühlt ist.

Der Doppelschattendurchgang vom [[11. Juni 2019|04. Juni 2019 - Tivoli Astrofarm]] auf Jupiter war wirklich spektakulär anzuschauen. Jupiter konnte selbst im 14 Zöller auf 400 fach vergrößert werden. Dann zeigten sich zeitweise die Monde und deren Schatten vor der Jupiterscheibe. Darüber hinaus waren feinste Details in den Wolkenbändern erkennbar. 

Die Planeten waren bei bestem Seeing ein echtes Highlight. Insbesondere in Mathias seinem Dobson. Er hat eine geringe Obstruktion und offenbar einen sehr glatten Spiegel. Wir haben leider zu spät gemerkt, dass meine Pentax Orthos an dem Gerät das Maximum rausholen können. Trotzdem war der Doppelschattendurchgang der Monde Ganymed und Io DAS Highlight. 

<div class="tc-link-info-item-medium" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/x1T67q" title="Jupiter vom 06.06.2018"><img src="https://live.staticflickr.com/65535/48222187357_07f4375e7e_h.jpg" alt="Jupiter vom 06.06.2018"></a>Jupiter mit Ganymed und Io. Einzelaufnahme mit Sony A6000 und Baader FFC bei perfektem Seeing. Süden ist oben. Anblick wie im 25 Zoll Newton.</div>

!!!Deep Sky

Deep Sky Objekte profitierten - wie im letzten Jahr auch - vom immer sehr guten und häufig exzellenten Seeing. So habe ich viele Planetarische Nebel und Galaxien bei hohen Vergrößerungen beobachten können und habe mich auch am Nordhimmel „rumgetrieben“. 

!!Zwei extrem klare Nächte

Fantastisch waren zwei extrem klare Nächte. Die Milchstraße war dann unglaublich strukturiert und Sterne bis am Horizont zu sehen. Das Airglowband war visuell kaum wahrnehmbar. Alle Nächte waren praktisch sehr dunkel. Windhoek war dieses Jahr am Horizont kaum wahrnehmbar.

!!Seeingbedingungen 

Das Seeing war stets gut bis sehr gut. Häufig lt. Astrofotografen unter 0.5“. In manchen Nächten perfekt. Schätze um 0.3“. Dann ließ sich Jupiter auf 454 fach am 25 Zöller bzw. 430 fach am 14 Zöller vergrößern. Kleinste Details ließen sich dann in den Wolkenbänder beobachten. Am Saturn war die Encke-Teilung problemlos sichtbar. 

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 25.-26.05.|25. Mai 2019 - Tivoli Astrofarm]]|''25" Dobson, 5 h, Ort: Tivoli Astrofarm, klar mit Wolken, SQM-L 21.92, +13° C, Mondaufgang um 23:12 Uhr WAT, 5 Objekte''<br>Minkowski 3-1, __[[η Carinae - Homunculus]]__, Kohoutek 1-22, Jupiter & Saturn, Highlights der Sommermilchstraße und des Südhimmels|
|[[2. Nacht / 26.-27.05.|26. Mai 2019 - Tivoli Astrofarm]]|''25" Dobson, 6 h, Ort: Tivoli Astrofarm, klar, SQM-L 22.0, +12° C, Mondaufgang 🌗 um 0:06 Uhr WAT, 5 Objekte''<br>OH 231.8+4.2 - Rotten Egg Nebula, __[[NGC 2792]]__, __[[Drilling 1]]__, __[[NGC 5408]]__|
|[[3. Nacht / 27.-28.05.|27. Mai 2019 - Tivoli Astrofarm]]|''25" Dobson, ca. 3 h, Ort: Tivoli Astrofarm, anfangs klar mit später durchziehenden Wolken ☁️, +9.5° C, Mondaufgang 🌗um 00:57 Uhr WAT,  7 Objekte''<br>__[[NGC 2792]]__, __[[NGC 5408]]__, NGC 6752, __[[NGC 6769/70/71 - Teufelsmaske]]__|
|[[4. Nacht / 28.-29.05.|28. Mai 2019 - Tivoli Astrofarm]]|''25" Dobson, 7 h, Ort: Tivoli Astrofarm, durchziehende mittelhohe Wolken ☁️, SQM-L 22.0, +8° C, Mondaufgang 🌘um 01:42 Uhr WAT, 11 Objekte''<br>__[[Sanduleak 2-21|Sanduleak 2-21 mit 25 Zoll]]__, NGC 3603, __[[Henize 2-104 - Southern Crab]]__, __[[Hoffleit 38]]__, Jupiter mit GRF und Transit von Ganymed und Io, __[[Shapley 1]]__, __[[NGC 6769/70/71 - Teufelsmaske]]__|
|[[5. Nacht / 29.-30.05.|29. Mai 2019 - Tivoli Astrofarm]]|''25" Dobson, 8 h, Ort: Tivoli Astrofarm, klar, SQM-L 22.0, +6° C, Mondaufgang 🌘um 02:38 Uhr WAT, 5 Objekte''<br>__[[ESO 495-21 (He 2-10)|ESO 495-21]]__, __[[IC 2621]]__, __[[Hoffleit 4]]__, __[[IRAS 12419-5414 - Boomerang Nebel]]__, //[[Henize 2-104 - Southern Crab]]//, __[[IC 4599]]__, __[[NGC 5873]]__|
|[[6. Nacht / 30.-31.05.|30. Mai 2019 - Tivoli Astrofarm]]|''25" Dobson, 2 h, Ort: Tivoli Astrofarm, bewölkt ☁️, Mondaufgang 🌘 um 03:29 Uhr WAT, ein Objekt''<br>He 2-108, //Abbruch wegen Wolken// ☁️|
|[[7. Nacht / 31.-01.06.|31. Mai 2019 - Tivoli Astrofarm]]|''24" Bino-Dobson, 10 h, Ort: Tivoli Astrofarm, bewölkt ☁️ und später klar, SQM-L 22.70, Mondaufgang 🌘 um 04:20 Uhr WAT, 5 Objekte''<br>M4, M7 + NGC 6453, M8, M24, M16, M17, M104, NGC 4027, Eta-Carinae-Nebel, M16 - Säulen der Schöpfung, Bug-Nebel, Omega Centauri, 47 Tuc, IC 5148, Helix-Nebel, NGC 6888, M12, M13, SMC, B86 - Tintenklecks, B72 - „The Snake“, M27 - Hantelnebel, Cirrusnebel, NGC 55, NGC 45|
|[[8. Nacht / 01.-02.06.|01. Juni 2019 - Tivoli Astrofarm]]|''24" Bino-Dobson, 10 h, Ort: Tivoli Astrofarm, klar, SQM-L 21.9, +5° C, Kein Mond 🌑, 9 Objekte''<br>__[[NGC 2359 - Thor’s Helm]]__, __[[NGC 3242 - Äußerer Halo von Jupiter‘s Geist mit 24“ Bino-Dobson|NGC 3242 - Äußerer Halo im 24 Zoll Bino-Dobson]]__, __[[Kohoutek 1-22 im 24-Zoll Bino-Dobson]]__, __[[NGC 2442]]__, M83, __[[NGC 5189|]]__, __[[IC 5148|IC 5148 im 24-Zoll Bino-Dobson]]__|
|[[9. Nacht / 02.-03.06.|02. Juni 2019 - Tivoli Astrofarm]]|''24" Bino-Dobson, 10 h, Ort: Tivoli Astrofarm, klar, SQM-L 22.05, +2° C, Kein Mond 🌑, 6 Objekte''<br>NGC 2359 - Thor‘s Helm, __[[NGC 2442]]__, __[[NGC 4038 & 39 - Antennengalaxien - Schweife]]__, __[[M16 - Säulen der Schöpfung]]__, __[[NGC 6744 - Pavo Galaxie]]__, NGC 300|
|[[10. Nacht / 03.-04.06.|03. Juni 2019 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, SQM-L 22.0, Neumond 🌚, 8 Objekte''<br>__[[Wray 17-1]]__, NGC 4565, M22, NGC 5286, Hoffleit 4, __[[NGC 5315]]__, __[[Mayall-Cannon 18]]__, QSO 2237+305 - Einstein Kreuz|
|[[11. Nacht / 04.-05.06.|04. Juni 2019 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, SQM-L 21.9, Kein Mond 🌑, 7 Objekte''<br>Hoffleit 4, __[[HCG 79 - Seyfert's Sextett]]__, __[[Doppelter Schattendurchgang von Ganymed und Io]]__, Saturn, Schaustücke des südlichen Sternenhimmels|
|[[12. Nacht / 05.-06.06.|05. Juni 2019 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, SQM-L 22.0, +8° C, Monduntergang 🌒 um 19:06 Uhr WAT , 2 Objekte''<br>__[[NGC 7090]]__, __[[Cannon 1-5]]__, Jupiter & Saturn|
|[[13. Nacht / 06.-07.06.|06. Juni 2019 - Tivoli Astrofarm]]|''25" Dobson, 9 h, Ort: Tivoli Astrofarm, extrem klar, SQM-L 21.98, +2.5° C, Monduntergang 🌒 um 20:06 Uhr WAT, 4 Objekte''<br>Jupiter mit Transit von Io, __[[NGC 6717 = Palomar 9]]__ , __[[IC 4593]]__, __[[Abell 4881 - Pavo Galaxienhaufen]]__ = IC 4764, IC 4765, IC 4766, IC 4767, IC 4769, IC 4770, IC 4771..., __[[NGC 454]]__|
|[[14. Nacht / 07.-08.06.|07. Juni 2019 - Tivoli Astrofarm]]|''25" Dobson, 8 h, Ort: Tivoli Astrofarm, extrem klar, SQM-L 22.23, +10° C, Monduntergang 🌒 um 21:10 Uhr WAT, 5 Objekte''<br>__[[NGC 6572]]__, NGC 3918, __[[Terzan 8]]__, __[[Abell 4881 - Pavo Galaxienhaufen]]__ = IC 4764, IC 4765, IC 4766, IC 4767, IC 4769, IC 4770, IC 4771..., IC 4769, NGC 7293 - Helixnebel|
|[[15. Nacht / 08.-09.06.|08. Juni 2019 - Tivoli Astrofarm]]|''25" Dobson, 7 h, Ort: Tivoli Astrofarm, klar, SQM-L 21.9, +5° C, Monduntergang 🌓 um 22:16 Uhr WAT, 2 Objekte''<br>__[[NGC 6572]]__, NGC 3918, __[[Terzan 8]]__, __[[NGC 7098]]__, __[[NGC 7293 - Helixnebel]]__|
|[[16. Nacht / 09.-10.06.|09. Juni 2019 - Tivoli Astrofarm]]|''25" Dobson, 6 h, Ort: Tivoli Astrofarm, klar, SQM-L 22.23, +10° C, Monduntergang 🌓 um 23:17 Uhr WAT, 6 Objekte''<br>IRAS 17490+2659 (LEDA 97547) - Quasar im Herkules, __[[Minkowski 3-30]]__, __[[Minkowski 1-57]]__, __[[Abell 42]]__, __[[Minkowski 1-47]]__, __[[Minkowski 1-33]]__|
|!16 Nächte|!Gesamtbeobachtungszeit 122 h, 51 Objekte beobachtet (z.T. mehrfach), davon __[[47 gezeichnet|Tivoli 2019 - Zeichnungen]]__|

!!Timelapse Videos

Ich habe hier ein paar Videos zusammengestellt, die einige Zeitrafferaufnahmen enthalten.

<div style="font-size:0.7em;text-align:center;margin-top:2em;margin-bottom:2em;">
<<list-thumbnails filter:"[tag[Tivoli 2019]]" width:"168" height:"95">>
</div>

!!Wetter

Insgesamt gab es vier Wolkennächte. Zwei, bei denen noch durch große Lücken beobachtet bzw. in andere Himmelbereiche ausgewichen werden konnte. Das waren die ersten beiden Beobachtungsnächte, die aufgrund des störenden Mondes ab Mitternacht eh nicht vollständig nutzbar waren. Ein Tag und eine Nacht war es stark bewölkt. Dort war keine Beobachtung möglich bzw. wie das Timelapse im Nachhinein zeigte vielleicht ein bis zwei Stunden.

<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/Rn49w8" title="Untitled"><img src="https://live.staticflickr.com/65535/48063504378_cc0d04b676_h.jpg"></a>Beim Rückflug geht es wieder über die Alpen.</div>

Tagsüber gab es sogar ein paar Spritzer Regen inklusive Regenbogen. Die darauffolgende Nacht war dann auch noch teilweise bewölkt. Die restlichen Tage und Nächte waren komplett klar. Zwei Nächte waren extrem transparent. Eine Quelle für die Verschlechterung der Transparenz ist der Wind, der den sandigen Boden aufwühlt. Noch wichtiger ist die Windrichtung. Kommt diese aus südlichen (was dort praktisch Norden ist) Richtungen ist mit sehr guter Transparenz zu rechnen. 

!!Seeing

Seeing war wie letztes Jahr gut. Nicht jede Nacht. Aber von 16 Nächten war es insgesamt 9 sehr gut. Und das die ganze Nacht.

!!Astrofotografie

Ich habe parallel fotografiert. Nachgeführte Aufnahmen mit Belichtungszeit um eine bis eineinhalb Minuten und mit Brennweiten von 6.5 bis 135mm. Zum Einsatz kam eine astromodifizierte Sony A6000. Insbesondere die Panoramen sind atemberaubend. Unten ist ein solches zu sehen. Belichtungszeit war eine Minute bei Blende 1.7 und 55mm Brennweite (äquivalent zu 85mm im Vollformat). Anschließend habe ich die 20 Einzelbilder geflattet mittels ~DeepskyStacker und dann in MS ICE zusammen gesetzt. Finale Bearbeitung dann in PS CS2.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/u0Es1q" title="9D02A231-73C7-443A-8DFD-BCBDE2CF7F2E"><img src="https://live.staticflickr.com/65535/48385743387_8882ae45ac_k.jpg" ></a>

Darüber hinaus habe ich auch Aufnahmen der Planeten und des Mondes gemacht.

!!__Fazit__

Der produktivste Astrourlaub bisher. Habe jede Nacht zuhause schon vorbereitet, d.h. die Länge der Nächte nachgeschaut, die Objekte je nach optimaler Sichtbarkeit auf die Nächte verteilt und schließlich Beobachtungslisten je Nacht erstellt. Unten dann habe ich eine rollierende Planung fortgeführt und so nicht beobachtete Objekte je Tag weiter geschoben. Bei manchen Objekten habe ich tagsüber Reinzeichnungen angefertigt, um meinen Kopf mit den entsprechenden Erinnerungen „freizuräumen“, denn viele Objekte leben vom visuellen Eindruck und dem Abspeichern im meinem Kopf. 

Und noch was: Windhoek war die gesamte Zeit über kaum zu sehen. Die vermutete Zunahme der Lichtverschmutzung letztes Jahr war doch keine.

!!!''Weiter zur Fotogalerie auf [[Flickr >>|https://www.flickr.com/gp/106029581@N02/192v40]]''

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42298752690/in/dateposted-public/" title="Setting Milky Way &amp; Mars"><img src="https://farm2.staticflickr.com/1833/42298752690_e0bcd11504_k.jpg" alt="Setting Milky Way &amp; Mars"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Mittlerweile gehören Beobachtungsaufenthalte in Namibia in meinen Exkursionskalendar. So bin ich fast jedes Jahr im dortigen Winter dort „unten“. Kann nur jedem Sternfreund empfehlen einmal dorthin zu fahren, um neben dem Südhimmel auch einen natürlichen, dunklen Sternhimmel zu erleben. Im August 2018 steht der Mars in Opposition und neben ihm sind insgesamt vier Planeten am Nachthimmel zu bewundern: Venus, Jupiter, Saturn und Mars.

<div class="tc-link-info-item-medium" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42955324715/in/photostream/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/928/42955324715_68ff349fd6_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Gewitter über den Alpen.</div>

!!Flug und Anreise

Wieder ein Jahr rum. Eigentlich noch mehr. Bisher war ich zweimal im Mai auf Tivoli, [[2015|Namibia Mai 2015]] & [[2017|Namibia Mai 2017]]. Diesmal will ich später hin, also im August. Flug läuft sehr gut. Über den Alpen durchfliegen wir ein Gewitter. Zum Glück kann ich diesmal gut schlafen. In Windhoek sind wir um 06:30 Uhr Ortszeit. Die Winterzeit wurde abgeschafft, so dass ich die Uhr gar nicht verstellen muss. 

Ich warte dann noch auf zwei Kollegen, Rudi und Michael, die ich zwar noch nicht kenne, aber mit denen ich mir das Shuttle teile. Also noch mal auf eine Bank in der der Ankunftshalle zum Nickerchen nutzen. Schließlich holt uns Kirsten ab und es geht nach Tivoli, wo wir gegen mittag eintreffen. 

<div class="tc-link-info-item-medium" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43350275694/in/dateposted-public/" title="Untitled"><img src="https://farm2.staticflickr.com/1811/43350275694_d40fc16d95_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Der Beobachtungsplatz.</div>

Nach einem kurzen Frühstück baue ich zusammen mit Reinhold den 25 Zöller auf. Mit Hubert werden dann die Laufflächen gereinigt, denn mir war aufgefallen, dass der Dobson recht schwergängig ist. Danach läuft er fast „butterweich“. Leider hält das Ganze für zwei bis drei Nächte. Danach läuft er wieder schwerer.

!! Ankunft auf Tivoli 

Auf der Farm ist es ein kommen und gehen. Beim Kaffee treffen wir u.a. Werner Celnik bei der Abreise. Einige Sternfreunde sind bereits zur Mondfinsternis angereist und sind - wie die beiden jetzt - wieder auf der Heimreise. Thomas aus der Schweiz wird aber noch eine Woche bleiben. Und morgen kommt Stephan. Mit mir und Hubert bilden wir die Gruppe der Visuellen Beobachter. Bei den letzten Aufenthalten war ich entweder alleine oder wir waren maximal zu zweit. Die beiden Sternfreunde Rudi und Michael gehören schließlich auch zur Gruppe der „Visuellen“, als sie sich Hubert‘s 10 Zöller ausleihen und bis zum Morgengrauen damit beobachten.

!!Beobachtungshighlights

Zu den besten Beobachtungen zählte der ''Jupitermondtransit von Ganymed''. Dabei wanderte Ganymed vor den Planeten und war dort als kleines, helles Sternchen weiterhin gut zu erkennen. Das war wirklich beeindruckend. 

!!!Mars

''Mars'' meist bei sehr gutem Seeing zu sehen. Im „dicken“ 25-Zöller nur mit Graufilter vernünftig beobachtbar, da sonst viel zu hell. Das war mir bereits im 14 Zöller im Juli aufgefallen, habe aber gedacht, dass das Seeing in Horizontnähe schlecht ist und deshalb Details nicht zu erkennen waren. Lag aber wohl am wütenden Staubsturm und - wie gesagt - zu hellen Bild. Saturn war auch schön und Jupiter sowieso, wobei letzterer am frühen Abend noch nicht voll ausgekühlten 25-Zöller (Spiegeldicke 2" oder 5 cm) im Nachteil gegenüber den anderen Planeten war und auch recht früh unterging.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/30392940628/in/dateposted-public/"><img src="https://farm2.staticflickr.com/1896/30392940628_cbebc80340_k.jpg"></a>

!!!Deep Sky

Deep Sky Objekte profitierten dieses Jahr vom immer sehr guten und häufig exzellenten Seeing. So habe ich viele Planetarische Nebel bei hohen Vergrößerungen beobachten können und habe mich auch am Nordhimmel „rumgetrieben“. Highlights gab es einige, wie Details in ''NGC 6210'' oder der winzige PN ''NGC 6803''. Überrascht hat mich ''Palomar 15'', der nur bei bester Transparenz als feines Glimmen bei 100 fach zu erkennen war, aber bei 278 fach verschiedene Einzelsterne zeigte.

!!!Extrem klare Nächte und SQM-L über 22.0

Fantastisch waren die extrem klaren Nächte. Die Milchstraße war dann unglaublich strukturiert und Dunkelnebel wie der Pfeifennebel „pechschwarz“ und das mit bloßem Auge und im 10x50 Feldstecher. Sogar der Nordhimmel war trotz der geringen Höhe extrem eindrucksvoll. Die Sternwolken im Schwan waren so hell wie an den besten Beobachtungsplätzen der nördlichen Hemisphäre im Zenit.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 04.-05.08.|4. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 5 h, Ort: Tivoli Astrofarm, klar, SQM-L 21.68, +1° C, 5 Objekte''<br>Venus, __[[Mars]]__, Jupiter, Saturn, __[[NGC 6302 - Bug Nebel]]__|
|[[2. Nacht / 05.-06.08.|5. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 6 h, Ort: Tivoli Astrofarm, extrem klar, SQM-L 21.86, +0° C, 5 Objekte''<br>Mars, südliche und nördliche Sommermilchstraße im Feldstecher,  __[[NGC 5844]]__, __[[Longmore 16]]__, __[[NGC 6804| NGC 6804 mit 25 Zoll]]__|
|[[3. Nacht / 06.-07.08.|6. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 8 h, Ort: Tivoli Astrofarm, dunstig mit durchziehenden Schleierwolken morgens, SQM-L 21.63, +1° C, 7 Objekte''<br>Omega Centauri, Centaurus A, __[[NGC 4945]]__, __[[Minkowski 2-9]]__, __[[Peimbert-Batiz 10]]__, __[[Dengel-Hartl 4]]__, __[[NGC 246 - Totenkopfnebel]]__, Mars|
|[[4. Nacht / 07.-08.08.|7. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 9 h, Ort: Tivoli Astrofarm, durchziehende mittelhohe Wolken, SQM-L 21.92, 0° C,  11 Objekte''<br>Jupiter, Mars, Saturn, Transit des Jupitermonds Ganymed, __[[Halo von M57|M57 - Halo]]__, __[[Dengel-Hartl 4]]__, NGC 247, NGC 253, NGC 55, NGC 246 - Totenkopfnebel, NGC 255, __[[Whiting 1]]__, LMC & SMC im Feldstecher|
|[[5. Nacht / 08.-09.08.|8. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 9.5 h, Ort: Tivoli Astrofarm, klar, SQM-L 22.0, +6° C, 6 Objekte''<br>__[[Longmore 6]]__, __[[UGC 10288]]__, __[[Palomar 15]]__, __[[Halo um M57|M57 - Halo]]__, __[[NGC 6803]]__, __[[Whiting 1]]__|
|[[6. Nacht / 09.-10.08.|9. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 9.5 h, Ort: Tivoli Astrofarm, extrem klar, SQM-L 22.13, -6° C, 5 Objekte''<br>__[[IC 2621]]__, __[[NGC 3918]]__, __[[Palomar 15]]__, __[[Halo von M57|M57 - Halo]]__, __[[Grus-Quartett]]__|
|[[7. Nacht / 10.-11.08.|10. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 9.5 h, Ort: Tivoli Astrofarm, extrem klar, SQM-L 22.13, -7° C, 9 Objekte''<br>__[[NGC 3918]]__, __[[NGC 5882]]__, __[[NGC 6572]]__, NGC 1365, NGC 1097, Flammennebel, Pferdekopfnebel|
|[[8. Nacht / 11.-12.08.|11. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 9.5 h, Ort: Tivoli Astrofarm, klar mit durchziehenden Zirren, SQM-L 22.13, +4° C, 5 Objekte''<br>__[[ESO 274-1]]__, __[[NGC 6210]]__, __[[NGC 6153]]__, __[[Grus-Quartett]]__, M42, Hexenkopfnebel|
|[[9. Nacht / 12.-13.08.|12. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 0 h, Ort: Tivoli Astrofarm, dunstig und z.T. bewölkt, SQM-L 22.0, 0 Objekte''<br>//Keine Beobachtung wegen Wolken//|
|[[10. Nacht / 13.-14.08.|13. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 0 h, Ort: Tivoli Astrofarm, dunstig und z.T. bewölkt, 2 Objekte''<br>M4, Milchstraße im Feldstecher, //Abbruch wegen Wolken//|
|[[11. Nacht / 14.-15.08.|14. August 2018 - Tivoli Astrofarm]]|''25" Dobson, 3 h, Ort: Tivoli Astrofarm, dunstig und z.T. bewölkt, SQM-L 22.23, +10 °C, 2 Objekte''<br>__[[NGC 5882]]__, __[[NGC 5979]]__, //Abbruch wegen Wolken//|
|!11 Nächte|!Gesamtbeobachtungszeit 65 h, 51 Objekte beobachtet (z.T. mehrfach), davon __[[25 gezeichnet|Tivoli 2018 - Zeichnungen]]__|

!!Timelapse Videos

Ich habe hier ein paar Videos zusammengestellt, die einige Zeitrafferaufnahmen enthalten.

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!!Wetter

Insgesamt gab es vier Wolkennächte. Die erste war noch sehr transparent, so daß man „Wolkenlückenspechteln“ betreiben konnte. Bei der zweiten ging fast nichts. Richtigerweise gar nichts. Die dritte praktisch genauso. Ich habe mir zwar kurz ein Kugelsternhaufen-Programm versucht zu zimmern, dann aber nach M22 doch abgebrochen. Die vierte Nacht war auch dunstig und am Anfang stark bewölkt, wobei ich einfach helle PNs beobachtet habe, solange es eben ging. Den Gegenpol bildeten drei transparente und drei sehr transparente Nächte, die alle sehr gutes Seeing hatten. Eine Nacht war dunstig mit durchziehenden Zirren.

<div class="tc-link-info-item-medium" style="float:left;  margin-right:15px; margin-bottom:15px;">
<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/44022913132/" title="Untitled"><img src="https://farm2.staticflickr.com/1799/44022913132_cce952cc9c_c.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Tatsächliches Seeing & Vorhersage waren immer sehr gut.</div>

!!Seeing

Zum Seeing kann ich sagen, dass es nie schlecht war. Bei meinen Aufenthalten [[2015|Namibia Mai 2015]] & [[2017|Namibia Mai 2017]] war das anders. Geschätzte 2-3" und das praktisch die ganzen Nächte. Aufgeblasene Sterne ohne Ende. Diesmal nicht. 

Zu Beginn der Nacht war es i.d.R. nicht gut, was vermutlich auch am Spiegel und der Abkühlung lag, wurde dann aber spätestens eine Stunde nach Dämmerungsende sehr gut und blieb es bis zum Morgengrauen. Oft war das Seeing sogar bis auf 15 Grad über dem Horizont sehr gut, so daß Objekte am Untergangshimmel gepaart mit exzellenter Transparenz noch hervorragend beobachtet werden konnten.

!!Lichtverschmutzung

Lichtverschmutzung hier. Nein. Naja. Etwas erschrocken war ich über die Lichtverschmutzung, die von Windhoek in einigen Nächten ausging. Dies war besonders in den sehr klaren der Fall. In Nächten die hingegen dunstig waren nicht. Dies ist vor allem auf Staub zurückzuführen, der offenbar die Lichtglocke verschluckt. 

<div class="tc-link-info-item-medium" style="float:right; margin-left:15px; margin-bottom:15px;">
<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43201465845/in/dateposted-public/" title="Windhoek Light Pollution seen from Tivoli Astrofarm"><img src="https://farm2.staticflickr.com/1899/43201465845_f70416be8b_h.jpg" alt="Windhoek Light Pollution seen from Tivoli Astrofarm"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Lichtglocke von Windhoek in verschiedenen Nächten.</div>

Das es sich tatsächlich um Staub handelt, haben wir auf der Rückfahrt nach Windhoek bemerkt, wo man einige Berge aus der Staubschicht herausragen sah. Die nachfolgenden Aufnahmen sollen die Situation zeigen. Die Kameraeinstellungen waren die gleichen. Oben mit schlechterer und unten mit perfekter Transparenz.

Trotzdem bin ich vom Himmel begeistert. Endlich gab es Nächte mit hervorragender Transparenz und dementsprechend dunklen Himmel und SQM–L Werten von (über) 22.0 im Mittel (s.a. Beobachtungsübersicht). Solche hervorragenden Werte habe ich noch an keinem Standort gemessen. Und es handelte sich noch nicht mal um Ausnahmen. Die Werte wurden in verschiedenen Nächten, meist in der zweiten Nachthälfte, wenn das Airglow zurückgegangen ist, erreicht. Die Werte wurden von anderen Beobachtern auf der Farm bestätigt.

Wolken sind hier wirklich dunkler als der Nachthimmel und zusammen mit den Dunkelwolken der Milchstraße spektakulär anzuschauen. Das Thema Windhoek muss man im Auge behalten. Und das werde ich die nächsten Male tun.

!!Betreute Astronomie!

Nicht von mir der Spruch. Aber wahr. Hier kann man sich von den langen Nächten gut erholen. Und Rheinhold, der Besitzer der Astrofarm, kümmert sich um fast jeden Wunsch.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/44020601382/in/dateposted-public/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1773/44020601382_951dfcc091_k.jpg"></a>

!!__Fazit__

Das Fazit fällt gemischt aus. Gutes bis bestes Seeing alle Nächte. Bewölkung insgesamt fünf Nächte. In drei war praktisch keine Beobachtung möglich. Von den wolkenfreien Nächten waren drei extrem klar mit einem Himmel, den ich so dunkel noch nie erlebt habe.

!!!''Weiter zur Fotogalerie auf [[Flickr >>|https://www.flickr.com/gp/106029581@N02/Hx0R8f]]''

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!!HESS-Teleskope und Namib-Naukluft-Nationalpark

Montags brechen wir zu einem zweitägigen Ausflug auf. Zunächst geht es zu den HESS-Teleskopen und dann weiter zum Namib-Naukluft-Nationalpark.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/E80Zhe" title="Düne 45"><img src="https://live.staticflickr.com/65535/51262456520_fb44194b36_b.jpg" alt="Düne 45"></a>

Höhepunkt ist die Dünenlandschaft der Namib und schließlich das Sossusvlei.

Hier geht es zum Bericht ''[[>>|07. Juni 2021 - Rundreise]]''
<<<

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Ein von Lichtverschmutzung verschonter Himmel ist in Europa leider nicht mehr zu finden. Anderswo hingegen schon, so z.b. in Namibia. 🇳🇦 Dort  steigen die Milchstraßenwolken bis in den Zenit und sind sehr hell. Daher fahre ich regelmäßig „runter“ und werde dies auch zukünftig tun. Zusammen mit der Trockenzeit, die mit dem dortigen Winter zusammenfällt, kommt man einfach auf sehr viele gute Beobachtungsnächte.

!Puh… ein Corona Jahr ist rum

Eigentlich hatte ich Reinhold schon abgesagt. Genauer: abgesagt und verschoben auf August. Nun geht es doch. Ich werde „runter“ fliegen. Die Entscheidung ist Anfang Mai gefallen, noch dazu an einem Tag mit anschließend klarer Nacht in der Rhön. Es war wieder so eine Nacht, wo man nicht wusste, ob es tatsächlich was wird oder eben nicht. Es wurde tatsächlich was, aber ich hatte mich natürlich nicht getraut. Dieses Frühjahr war tatsächlich eine Katastrophe und so fiel mir letztendlich die Entscheidung nach Namibia zu fliegen doch recht leicht.

Natürlich ist es immer so eine Sache, aber bei mir haben sich die Bedingungen entscheidend verändert. Ich habe die erste Impfung bereits erhalten. Damit ist das Risiko eines schwerwiegenden Verlaufs bei einer Infektion relativ sicher gebannt.

!Flug und Anreise

An Fronleichnam steige ich gegen Abend in den Flieger. Abflug ist 21:50 Uhr. Zu „Air Namibia Zeiten“ war es 20 Uhr. Ankunft ist gegen 08:30 Uhr geplant. Bin gespannt. Erster Langstreckenflug mit Lufthansa. Am Flughafen ist alles leer. Keine Schlangen, nirgends. Bin in 20 min am Gate.

Air Namibia ist Geschichte. Die Fluggesellschaft ist Corona zum Opfer gefallen. Dabei lief es schon viele Jahre zuvor nicht mehr gut. Schade! Jetzt fliege ich mit Lufthansa. Habe mich mit Mathias zusammen getan. Er reist schon zum zweiten Mal dieses Jahr an und plant im September zum dritten Mal zu kommen. Insgesamt sind wir zu viert.

Der Flug verläuft unspektakulär. Wir kommen aber aufgrund der späten Abflugzeit am nächsten Morgen bereits im hellen an. Es ist kalt und riecht nach feuchtem Gras, als wir die Gangways betreten.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6798BD" title="Untitled"><img src="https://live.staticflickr.com/65535/51287149459_658d6eaf52_h.jpg"></a></div>

!Einreisebedingungen

Zur Einreise muss man entweder einen Antigen- oder aber ein PCR-Test vorlegen. Dies gilt auch bei der Rückreise nach Deutschland. Man kann diesen vor der Rückreise per Internet buchen. Der Test wird dann in Windhuk durchgeführt. Darüber hinaus muss man zwei Formulare ausfüllen, in denen  zum einen die Reiseroute und der Aufenthaltsort einzutragen ist und zum anderen abgefragt wird, ob man die typischen COVID-Symptome bei der Einreise hat. Weiterhin wird verlangt, dass man eine entsprechende Reisekrankenversicherung hat, die im Fall einer COVID-Erkrankung auch die Behandlung im Ausland abdeckt. Dies habe ich bei meiner Versicherung nachgefragt, was umgehend auch schriftlich (auf englisch) bestätigt wurde. Danach gefragt hat bei der Einreise aber niemand.

!Ankunft auf Tivoli 

Zunächst gibt es Frühstück und anschließend mache ich einen Spaziergang. Das Gras steht hoch. Im Frühjahr hat es gut geregnet, dass ist uns schon auf der Autofahrt aufgefallen. Ich bin froh endlich wieder beobachten zu können. Denn der Winter und das Frühjahr waren beobachtungstechnisch zum vergessen. Jetzt geht es richtig los.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1h6X96" title="Untitled"><img src="https://live.staticflickr.com/65535/51333618633_43adefc95d_k.jpg"></a>

Auf Tivoli kann man viele Vögel 🐦 beobachten und natürlich auch fotografieren. Oben ist ein sogenanntes [[Perlhuhn|https://de.wikipedia.org/wiki/Perlhühner]] zu sehen. Mir sind ein paar ganz gute Schnappschüsse gelungen. Weiter zur 🦔 Fotogalerie auf [[Flickr >>|https://www.flickr.com/gp/106029581@N02/743Whp]]

!Wetter

Insgesamt gab es eine Wolkennacht. Diese war bereits lange im Voraus bekannt, so dass wir sie genutzt hatten, um einen Ausflug zu machen. Alle anderen Nächte waren wolkenfrei, wenngleich tagsüber auch mal hin und wieder eine oder mehrere Zirren zu sehen waren. Extrem klar, d.h. mit sehr guter Durchsicht, war allerdings nur eine Nacht. 

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 04.06.-05.06.|04. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, 7 h, Ort: Tivoli Astrofarm, extrem klar, 0° C, Mondaufgang 🌗 um 03:10 Uhr WAT, 5 Objekte''<br>[[NGC 3628 - Gezeitenschweif]], Highlights der Sommermilchstraße und des Südhimmels, [[NGC 4071]], [[NGC 6026]], Jupiter mit Io Transit und Doppellschattendurchgang von Io & Ganymed, Saturn|
|[[2. Nacht / 05.06.-06.06.|05. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, 8 h, Ort: Tivoli Astrofarm, klar, +2.5° C, Mondaufgang 🌗 um 03:55 Uhr WAT, 2 Objekte''<br>Nachbeobachtung von NGC 3628 mit Gezeitenschweif, [[Fleming 1]], [[NGC 7293 - Helixnebel mit Halo|NGC 7293 - Helixnebel]]|
|[[3. Nacht / 06.06-07.06|06. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, ca. 4 h, 04:48 h, Ort: Tivoli Astrofarm, klar, +8.5° C, Mondaufgang 🌘 um 03:47 Uhr WAT,  7 Objekte''<br>[[NGC 2452]], [[NGC 6026]], [[NGC 6589 & 90]], [[NGC 3293 - Gem-Cluster]]|
|[[07.06.-08.06.|07. Juni 2021 - Rundreise]]|Keine Beobachtung, bewölkt ☁️ und kurze Rundreise|
|[[5. Nacht / 08.-09.06.|08. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, ca. 9 h, Ort: Tivoli Astrofarm, klar, +2° C, kein Mond 🌑, 6 Objekte''<br>[[NGC 3247 & Westerlund 2]], [[He 2-86]], [[NGC 6744 - Pavo Galaxie]], [[Abell 4881 - Pavo Galaxienhaufen]], NGC 300, [[NGC 55]]|
|[[6. Nacht / 09.-10.06.|09. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, kein Mond 🌑, 6 Objekte''<br>[[Puppis A]], [[NGC 2736 - Herschels Bleistift]], [[Henize 2-111]], [[Henize 2-104 - Southern Crab]], [[Jupiter & Saturn]]|
|[[7. Nacht / 10.06.-11.06.|10. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, +10° C, Neumond 🌚, 6 Objekte''<br>[[Longmore 16]], [[Palomar 5|Palomar 5 mit 25 Zoll]], [[M17]], [[M16]], [[NGC 7496]], [[NGC 6445]]|
|[[8. Nacht / 11.-12.06.|11. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, +10° C, kein Mond 🌑 , 2 Objekte''<br> IC 2948, [[Hartl-Dengel-Weinberger 12]]|
|[[9. Nacht / 12.-13.06.|12. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, SQM-L 21.8, Monduntergang 🌒 um 19:22 Uhr WAT , 5 Objekte''<br>[[NGC 4361]], [[IC 1295]], [[NGC 5844]], [[NGC 5643]], [[IC 4406]]|
|[[10. Nacht / 13.- 14.06.|13. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, Monduntergang 🌒 um 20:33 Uhr WAT, 4 Objekte''<br> [[IC 2553]], [[NGC 5643]], [[IC 4444]], [[NGC 346]]|
|[[11. Nacht / 14.-15.06.|14. Juni 2021 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, +6°C, Monduntergang 🌒 um 21:33 Uhr , 4 Objekte''<br>[[NGC 3211]], [[IC 2553]], [[Fr 2-8]], [[NGC 55]]|
|!10 Nächte|!Gesamtbeobachtungszeit 88 h, 39 Objekte beobachtet (z.T. mehrfach), davon __[[47 gezeichnet|Tivoli 2021 - Zeichnungen]]__|

!Unterbringung

Bin im „Kopernikus“ und das alleine. Das Häuschen hat zwei Schlafzimmer mit gemeinsam genutzter Dusche, Küche und WC, sowie eine schöne Veranda. Man kann es insgesamt sehr gut darin „aushalten“. Für visuelle Beobachter zwar ungünstig gelegen, da von den Beobachtungsplattformen weiter entfernt, aber für mich egal, denn ich bin zum Beobachten hier und nicht zum nächtlichen „Teetrinken“.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/k3P902" title="Untitled"><img src="https://live.staticflickr.com/65535/51286628888_53bd5cce8e_k.jpg"></a>

!Astrofotografie

Ich habe parallel fotografiert. Nachgeführte Aufnahmen mit Belichtungszeit um eine bis eineinhalb Minuten und mit Brennweiten von 6.5 bis 85mm. Zum Einsatz kamen verschiedene astromodifizierte Sony A6000. Zusammen mit dem neuen MSM-Rotator sind mir wirklich gute Aufnahmen gelungen und das bei ca. 120 mm, wenn man das Vollformat zu Grunde legt. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3u8M2w" title="Kohlensack und „Kreuz des Südens“"><img src="https://live.staticflickr.com/65535/51299839181_f4355306a2_k.jpg" alt="Kohlensack und „Kreuz des Südens“"></a>

Begeistert hat mich dabei das Samyang 85mm f1.8 ED UMC für Sony APS-C. Sehr scharf schon bei f2 und dabei kompakt und leicht. Oben abgebildet ist die Region rund um den Kohlensack und des „Kreuz des Südens“. Für das Bild wurden ca. 10 Aufnahmen a 60 sec in ~DeepSkyStacker verarbeitet.

<div class="tc-link-info-item-medium" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/xiZ2P6" title="Jupiter"><img src="https://live.staticflickr.com/65535/51259734034_5dfff6f1a8_h.jpg" alt="Jupiter"></a>Jupiter mit Europa (links) nach dem Schattendurchgang. Einzelaufnahme mit Sony A6300 und Baader FFC bei perfektem Seeing. Süden ist oben. Anblick wie im 25 Zoll Newton.</div>

Ich habe mir alle Beobachtungsobjekte vorher auf die entsprechenden Nächte gelegt. Anschließend habe ich eine rollierende Planung vor Ort weitergeführt. Mit der Disziplin ist es so eine Sache: häufig habe ich dann - abweichend von der Planung - einfach etwas anderes beobachtet. Das ist natürlich nicht so toll, denn dann muss die vorher geplante und eingetragene Beobachtungsübersicht (siehe unten) komplett wieder umgeschrieben werden. Das ist eigentlich ziemlich dämlich, aber ich mache das immer wieder. 😳

Insgesamt habe ich tatsächlich etwas weniger beobachtet, als ich mir vorgenommen hatte. Aber ich habe mir das Motto zu Herzen genommen, dass ich hier einfach im Urlaub bin. Darüber hinaus hat sich die Erkenntnis durchgesetzt, dass ich die nächsten Jahre weiterhin hierher fahren werde und natürlich auch noch Objekte zum beobachten benötige. Daher sollte nicht alles „leer gespechtelt“ werden.

!Planeten Jupiter & Saturn

Die Planeten waren bei bestem Seeing ein echtes Highlight. Es gelangen mir schöne Beobachtungen und zugehörige Kurzvideos.

!Videos & Timelapses

Unten ist ein Video zu sehen, dass eine Zeitrafferaufnahme des gesamten Nachthimmels über Athos vom 19.09.2019 von Dämmerungsende bis zur Morgendämmerung zeigt. 

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!Wetter und Seeing

Das Wetter war durchwegs okay. Extrem klare Nächte waren aber die Ausnahme. Eine Wolkennacht ☁️  gab es. Die haben wir aber verpasst, da wir ja unterwegs waren. Das Seeing war gut. Hingegen Nächte mit ausgezeichnetem Seeing selten. Eine Nacht war es aber extrem gut. Die anderen durchwachsen. Trotzdem waren Vergrößerungen um 300x fast immer möglich. Kurzzeitig war das Seeing auch hin und wieder sehr schlecht 🤮, aber was soll's. Schwierig ist sowas eigentlich nur, wenn es lange anhält, was es aber nicht tat.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/U322p6"><img src="https://live.staticflickr.com/65535/51258120380_426d8b9421_k.jpg"></a>

Wieder schön hier gewesen zu sein. Bis zum nächsten Jahr!

!!!''Weiter zur Fotogalerie auf [[Flickr >>|https://www.flickr.com/gp/106029581@N02/5945W1]]''

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:5px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/T97Hjp41c5" title="Untitled"><img src="https://live.staticflickr.com/65535/52236962492_9285a54c3d_h.jpg"></a></div>

Zwei Corona Jahre liegen hinter uns. Im Corona Jahr selbst war ich auch unten. Vieles war viel abenteuerlicher als heute. Mittlerweile steht die Normalisierung an. Nicht Lufthansa, sondern Eurowings fliegt jetzt die Route von Frankfurt nach Windhuk. Leider ist der Flieger alles andere als komfortabel, sondern die Sitzreihen sind total eng. Für einen Langstreckenflug Mega unbequem. Aber das ist wohl die neue Realität. Alternativen gibt es, wenngleich mitten in der Nacht ein Umsteigen erforderlich ist. Mal sehen ob ich das nächstes Mal nicht doch mache. Für August ruft Eurowings für einen Hin- und Rückflug circa 1400 € auf, was natürlich Mega teuer ist. Früher kam man in der Regel für 700-800 € runter, ich habe diesmal durch frühes buchen 880 bezahlt.
 Der Flieger ist überbucht, so dass einige Passagiere Probleme haben einen Sitzplatz zu ergattern. Mathias bekommt zum Glück noch einen.

!Flug und Anreise

Wie bereits erwähnt, ist der Flug Mega unbequem, wegen der engen Sitzreihen💺. Überbucht ist der Flieger auch, so dass man natürlich auch keine freien Plätze neben sich finden kann. Wir haben Verspätung, denn wir kommen nicht pünktlich in Frankfurt los und es droht sogar aufgrund des Nachtflugverbots die Verschiebung des Abflugs auf den nächsten Morgen. Zum Glück passiert das nicht, aber wie wir ein paar Tage später von weiteren Reisenden auf der Farm erfahren, ist es Ihnen so ergangen, d.h. der Flug ging nicht abends sondern morgens um sechs Uhr ab Frankfurt Richtung Windhuk. Umsteigende haben natürlich auch das Problem mit Koffern, die verloren gingen, was offenbar im Moment ein größeres Problem darstellt. Bei uns ist das kein Thema, denn wir fliegen ja direkt nach Windhuk. Der Flieger kommt schließlich mit Verspätung am nächsten Morgen an und fliegt dann weiter zu den Victoria Falls. Am selben Abend macht er sich dann zurück nach Windhuk, um dann den Direktflug nach Frankfurt durchzuführen.

Interessanterweise haben wir auf dem Rückflug einen Flieger, der zum einen leer war und zum anderen größere Abstände zwischen den Sitzreihen hatte. Also ganz anders als beim Hinflug.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:5px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/fd0Z07" title="Untitled"><img src="https://live.staticflickr.com/65535/52194056806_9b36085754_h.jpg"></a></div>

!Einreisebedingungen

Zur Einreise muss man keine Tests mehr vorlegen. Ein Impfnachweis ist allerdings Pflicht. Falls man nicht geimpft ist, greift wieder das Thema negativer Antigen- oder aber ein PCR-Test, den man vorab auf einem Webportal hochladen muss. Ziemlich umständlich, aber für Geimpfte ist das natürlich alles kein Thema.

!Wetter und Seeing

Das Wetter war gut. Insgesamt gab es zwei Wolkennächte. Dabei waren diese schlecht vorhersehbar und waren auch z.T. auch nicht vorhergesagt. Im Kern bildeten sich die Wolken vor Ort. Sehr klar, d.h. mit sehr guter Durchsicht, gab es insgesamt zwei Nächte. Das Seeing war gut. Hingegen Nächte mit ausgezeichnetem Seeing gab es keine. 

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 24.06.-25.06.|24. Juni 2022 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, sehr klar, -5° C, Mondaufgang 🌗 um 03:10 Uhr WAT, 7 Objekte''<br>Highlights der Sommermilchstraße und des Südhimmels, [[NGC 6744 - Pavo Galaxie]], M 104, Antennengalaxien, M 16, M 17,  B92, [[NGC 6589 & 90]], [[Nebel um Antares]]|
|[[2. Nacht / 25.06.-26.06.|25. Juni 2022 - Tivoli Astrofarm]]|''25" Dobson, 8 h, Ort: Tivoli Astrofarm, sehr klar, +2.5° C, Mondaufgang 🌗 um 03:55 Uhr WAT, 2 Objekte''<br>[[Kohoutek 3-27]], [[M 16 - Adlernebel]]|
|[[3. Nacht / 26.06.-27.06.|26. Juni 2022 - Tivoli Astrofarm]]|''25" Dobson, ca. 4 h, 04:48 h, Ort: Tivoli Astrofarm, klar, +8.5° C, Mondaufgang 🌘 um 03:47 Uhr WAT,  7 Objekte''<br>[[RCW 34]], [[M 16 - Adlernebel]], [[Hartl-Dengel-Weinberger 12]], NGC 4650, [[C/2017 K2 (PANSTARRS)]], [[NGC 6567]], [[NGC 300]]|
|[[4. Nacht / 27.06.-28.06.|27. Juni 2022 - Tivoli Astrofarm]]|''25" Dobson, ca. 10 h, Ort: Tivoli Astrofarm, klar, 0° C, kein Mond 🌑 ''<br>[[NGC 2467]], He 3-404, NGC 3603, [[NGC 3576]], He 3-1379 - „Freid Egg“, [[NGC 6567]], Jupiter mit Ganymed Transit, Saturn, [[Saturnnebel|NGC 7009 - Saturnnebel]]|
|[[5. Nacht / 28.06.-29.06.|28. Juni 2022 - Tivoli Astrofarm]]|''25" Dobson, ca. 9 h, Ort: Tivoli Astrofarm, klar, +2° C, kein Mond 🌑, 3 Objekte''<br>[[Henize 2-37]], He 3-404, [[Thackeray’s Globule in IC 2944]], „Heileitz“ des Südhimmels|
|[[6. Nacht / 29.06.-30.06.|29. Juni 2022 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, kein Mond 🌑, 8 Objekte''<br>[[NGC 4565]], [[Circinusgalaxie|PGC 50779 - Circinusgalaxie]], [[NGC 4038 & 39 - Antennengalaxien|NGC 4038 & 39 - Antennengalaxien mit 25 Zoll]], [[Omega Centauri]], [[Laevens 3]], [[Robert's Quartett]], [[NGC 300]]|
|[[7. Nacht / 30.06.-01.07.|30. Juni 2022 - Tivoli Astrofarm]]|''25" Dobson, 10 h, Ort: Tivoli Astrofarm, klar, SQM-L 22.0, +10° C, Neumond 🌚, 3 Objekte''<br>[[NGC 6164 & 65]], [[IC 5052]], [[NGC 300]]|
|[[8. Nacht / 01.07.-02.07.|01. Juli 2022 - Tivoli Astrofarm]]|''25" Dobson, 2 h, Ort: Tivoli Astrofarm, klar, +10° C, kein Mond 🌑, bewölkt ☁️ bis in die Morgenstunden, Diverse Objekte''<br>Sundowner & Highlights der Sommermilchstraße und des Südhimmels|
|[[9. Nacht / 02.07.-03.07.|02. Juli 2022 - Tivoli Astrofarm]]|''25" Dobson, 9 h, Ort: Tivoli Astrofarm, SQM-L 21.8, +2° C, klar, Monduntergang 🌒 um 21:12 Uhr WAT''<br>[[NGC 5746]], [[RCW 86]], [[Palomar 15]], [[Terzan 6]], [[He 2-292]], [[Wray 16-310]]|
|10. Nacht / 03.07.-04.07.|''25" Dobson, 5 h, Ort: Tivoli Astrofarm, bewölkt ☁️, Monduntergang 🌒 um 22:05 Uhr WAT''<br>Keine Beobachtung, da bewölkt ☁️|
|[[11. Nacht / 04.-05.07.|04. Juli 2022 - Tivoli Astrofarm]]|''25" Dobson, 0 h, Ort: Tivoli Astrofarm, bewölkt ☁️ und ab Mitternacht klar, Monduntergang 🌒 um 23:00 Uhr WAT, 2+X Objekte''<br>[[He 2-207|Henize 2-207]], [[Ced 211 um R Aquarii]], „Heileitz“|
|!10 Nächte|!Gesamtbeobachtungszeit 88 h, 39 Objekte beobachtet (z.T. mehrfach), davon __[[24 gezeichnet|Tivoli 2022 - Zeichnungen]]__|

!Unterbringung

Bin wieder im „Kopernikus“ und das mit Mathias. Das Häuschen ist eine Zeitblase. In einigen Schubladen findet man entwickelte TP 6415 Rollfilme. Offensichtlich das Ergebnis von HII-Aufnahmen in den achtziger und neunziger Jahren. Gelungene Ergebnisse hängen auch in Form von Fotografien an den Wänden.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/SfzU0P" title="Untitled"><img src="https://live.staticflickr.com/65535/52194194911_b5e6598c9f_k.jpg"></a>

!Astrofotografie

Ich habe parallel fotografiert. Stimmungsaufnahmen, d.h. nachgeführte Aufnahmen mit Belichtungszeit um drei Minuten und mit Brennweiten von 6.5 bis 14mm. Zum Einsatz kamen verschiedene astromodifizierte Sony 📷: eine A6000 und eine A7 Vollformatkamera.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/hX8201" title="Untitled"><img src="https://live.staticflickr.com/65535/52203699493_9aa8524ec5_k.jpg"></a>

Begeistert hat mich diesmal das Sony 14mm f1.8 GM für Sony Vollformat. Sehr scharf schon bei f2 und dabei noch relativ kompakt und leicht.

Insgesamt habe ich tatsächlich etwas weniger beobachtet, als ich mir vorgenommen hatte. Aber ich habe mir das Motto zu Herzen genommen, dass ich hier einfach im Urlaub bin. Darüber hinaus hat sich die Erkenntnis durchgesetzt, dass ich die nächsten Jahre weiterhin hierher fahren werde und natürlich auch noch Objekte zum beobachten benötige. Daher sollte auch nicht alles „leer gespechtelt“ werden.

!Videos & Timelapses - wird noch aktualisiert!

Unten ist ein Video zu sehen, dass eine Zeitrafferaufnahme des gesamten Nachthimmels zeigt. 

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Wieder schön hier gewesen zu sein. Bis zum nächsten Jahr!

!!!''Weiter zur Fotogalerie auf [[Flickr >>|https://www.flickr.com/gp/106029581@N02/61N4090q1T]]''

__Tip__: Um den Artikel im Vollbildmodus zu lesen, einfach rechts oben auf das Symbol >> klicken.

Zum ersten Mal beschäftigte ich mich im Vorfeld zur großen Marsopposition 2003 mit dem Thema "Namibia". Ich wollte seinerzeit Astrofotografie dort betreiben, natürlich kurzfristig. Damals hatte ich davon auch natürlich keine große Ahnung und so kann man vermutlich nur von Glück sagen, dass es nicht geklappt hat.
Mittlerweile ist das Thema [[Astrofotografie|Astrofotografie]] Geschichte. Dabei entdeckte ich mit bloßem Auge und Feldstecher den Sternhimmel auf [[La Palma|La Palma]], während der ST4 Autoguider sich abmühte Kameras und Teleskop bei chemischen Langzeitbelichtungen auf Kurs zu halten.

<a href="https://www.flickr.com/photos/106029581@N02/16884371394" title="Untitled by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/9/8721/16884371394_7fe930faab_n.jpg" style="float:right;  margin-left:15px; margin-bottom:15px;"></a>

Zu jener Zeit hörte ich auch vom sagenhaften Sternhimmel über Namibia. Das im Zenit stehende Milchstraßenzentrum sei so hell, dass es Schatten werfen würde und man gar Zeitung lesen könne. 
Zu meinem runden Geburtstag wollte ich schließlich auch dorthin, und die Farmen besuchen, über die ich die Artikel verschlungen hatte.
Die hohe Nachfrage auf den bekannten Astrofarmen [[Hakos|http://www.hakos-astrofarm.com/hakos_d.htm]], [[Kiripotip|http://www.kiripotib.com]] und [[Tivoli|Tivoli Astrofarm]] führt leider zu Wartezeiten. Bei mir wurden es am Ende zwei Jahre und der runde Geburtstag liegt nun schon etwas hinter mir.
Aufgrund der langen Reisezeit entschloss ich mich zwei Wochen dort zu verbringen. Ich entschied mich beim Flug für Air Namibia, die Non Stop über Nacht fliegen. 
Am 09. Mai geht es schließlich los. Es ist Samstag und gegen Abend startet der Flieger nach Windhuk. 

Gegen 16:30 Uhr geht es dann schließlich zum Flughafen. Um 17:30 Uhr befinde ich mich schon am Abflug Gate, da alles recht schnell ging. Check-In bei Air Namibia ging sehr schnell und unkompliziert. Interessanterweise wurde das Handgepäck gewogen. Am Ende war ich natürlich viel zu früh. Aber was soll's. Besser als zu spät.
Pünktlich kurz nach 20 Uhr hob der Flieger mit mächtig Getöse ab. Anschließend überflogen wir die noch schneebedeckten Alpen auf dem Weg nach Italien. 

Gegen Mitternacht versuchte ich schließlich zu schlafen. Leider half mir die Tatsache, dass mein Nachbarplatz leer blieb, nichts. Ich dämmerte also bis ca. 4 Uhr vor mich hin. Dann wurden wir wieder alle geweckt und es gab zum zweiten Mal Fisch. Das ist es, was ich als Essenswunsch angegeben hatte. Das dies bis zum Frühstück durchgehalten würde, hätte ich dann doch nicht erwartet. Aber nun ja. Wir sind fast an der Namibischen Grenze zu Angola angekommen und haben das Meiste hinter uns.
Die Landung ist dann gegen 5 Uhr. Auf dem Flugfeld riecht es nach Gras. Draußen ist alles noch stockfinster. Nach der Passkontrolle, die eine halbe Ewigkeit dauert, werde ich am Ausgang bereits erwartet. Schnell noch Geld wechseln und dann geht es schon los. Zunächst über gut ausgebaute Straßen. Ich unterhalte mich mit dem Fahrer sehr angenehm. Kurz nach dem wir Windhoek verlassen haben, geht bereits der Erdschatten auf. Es scheint etwas dunstig zu sein. Und wenig später sehen wir die blutrote Sonne am Osthorizont aufgehen. Nach einer Stunde Fahrt beginne ich immer wieder einzunicken.

<a href="https://www.flickr.com/photos/106029581@N02/17540328271" title="Untitled by Olivito Astro, on Flickr"><img src="https://c2.staticflickr.com/6/5442/17540328271_8a4fc8618f_n.jpg" style="float:left;  margin-right:15px; margin-bottom:15px;"></a>

Ich beziehe als erstes mein neues Zuhause. Total platt gehe ich ins Bett. Am Nachmittag werde ich wach und die Lebensgeister kommen zurück. Es gibt Kaffee und Kuchen. Der Himmel ist immer noch blau und der Gedanke an die bevorstehende Beobachtungsnacht lässt mich unruhig werden. Zunächst aber nicht in Panik verfallen, denn heute geht erst das Vorprogramm los.

Eigentlich wollte ich mit eigenem Teleskop fahren. Aber das lohnt sich kaum. Einziger Vorteil ist, dass man sein Gerät kennt. Nachteile gibt es natürlich viele: Vergessene Teile, evtl. enstehender Defekt, der nicht behoben werden kann, Schlepperei u.s.w. Ursprünglich hatte ich für die zwei Wochen einen 14" Dobson reserviert. Der kostet zwei Wochen etwa soviel wie das entsprechende Übergepäck bei meinem eigenen gleich großen Gerät. Dann bin ich nochmal in mich gegangen und habe auf ein größeres Gerät umgestellt. Der Grund ist einfach: Dies sollte eine in allen Belangen herausragende Reise werden. Und mich auch Gerätetechnisch in eine neue Dimension bringen. Wann kann man schon einmal mit so einem großen Gerät unter perfektem Himmel beobachten? Und nebenbei ist es ggf. eine Anregung für die Zukunft bzgl. Vergrößerung der Öffnung, obwohl ich dies schon gedanklich abgehakt hatte. Aber wer weiß. Vielleicht ändere ich ja meine Meinung...

<a href="https://www.flickr.com/photos/106029581@N02/16918510674" title="Unterbringung"><img src="https://c2.staticflickr.com/6/5460/16918510674_9d93f50dbe_n.jpg" style="float:right;  margin-left:15px; margin-bottom:15px;"></a>

Final hatte ich nun für die erste Nacht einen Großfeldstecher gemietet. Und für die restlichen dreizehn Nächte einen 25" Dobson. Größer ging nicht. Mit dabei waren meine eigenen 100-120° Grad Okulare inklusive Filter, sowie ein 10 x 50 Feldstecher mit passendem Stativ.

In der ersten Nacht soll der Himmel zur Orientierung abgegrast und die wichtigsten Südhimmelobjekte mit dem Karkoschka aufgesucht und im Großfeldstecher beobachtet werden. Ab der zweiten Nacht ist der 25 Zöller dran. Ich nehme mir gar vor z.T. bei Mondschein zu beobachten, vorzugsweise Planetarische Nebel, die vom Filtereinsatz profitieren. 

Aber abwarten...vornehmen kann man sich viel.

Die erste Nacht steht an und der Mond soll zwar schon gegen 23 Uhr aufgehen, aber bis dahin bleiben knapp fünf Stunden astronomische Nacht. Nicht schlecht. Mehr ging beim letzten Mal zu Hause auch nicht.

{{Tivoli Beobachtungsübersicht}}

Ich habe hier ein paar Videos zusammengestellt, die einige Eindrücke auf der Farm wiedergeben.

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Am 24. Mai steht die Abreise an. Mit einem weiteren Sternfreund genieße ich die Fahrt und wir fliegen am Abend mit Air Namibia zurück nach Deutschland. 

Wie ich wieder durch meinen kleinen 14 Zöller beobachten soll, ist mir noch ein wenig schleierhaft :)

<a href="https://www.flickr.com/photos/106029581@N02/18507862972"><img src="https://c1.staticflickr.com/1/557/18507862972_cc96c50950_n.jpg" style="float:left;  margin-right:15px; margin-bottom:10px;"></a>

!!Fazit

Der Himmel über Tivoli ist messbar und visuell nachvollziehbar dunkler als auf La Palma, dem wohl besten Beobachtungsplatz für Europäer. Im Schnitt waren es um die 21.76, die im Mittel zur gleichen Zeit und am gleichen Himmelsabschnitt in fast allen Nächten gemessen werden konnten. In einer sehr transparenten Nacht waren es 21.89. Gegenschein, Lichtbrücke und Zodiakallicht waren stets eindrucksvoll beobachtbar. Wer einen Bortle 1 Beobachtungsplatz mal sehen will, muss einfach hierher kommen.

<a href="https://www.flickr.com/photos/106029581@N02/18485959416" title="Untitled by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/343/18485959416_6284ce2d73_n.jpg" style="float:right;  margin-left:15px; margin-bottom:10px;"></a>

Aber der eigentliche Hammer war aus meiner Sicht das Wetter: 14 klare Nächte am Stück. Nur an einem Abend (während des Abendessen) zog eine Wolke durch. Die Temperaturen waren zusammen mit der niedrigen Luftfeuchte angenehm zu ertragen. Richtige Winterklamotten (Daunenjacke & -hose, sowie dicke Stiefel) waren aus meiner Sicht nicht notwendig. Ich habe lediglich auf die Daunenjacke zurückgegriffen. Der Wind war auch nie störend. Meist war es nachts windstill. Kurzum, perfekte Wetterbedingungen.

Ich habe viele interessante Sternfreunde aus aller Welt kennen gelernt. Wir haben zusammen wunderschöne Momente verbracht.

Der 25" Dobson war in einem sehr guten Zustand. Die Beobachtungen damit waren traumhaft. Die Unterbringung war super, das Essen auch. Ich habe für 2017 wieder reserviert!

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34666766080/in/datetaken-public/" title="Erdschatten in 10000 m üNN"><img src="https://c1.staticflickr.com/5/4195/34666766080_f70016e54d_n.jpg" style="float:right;  margin-left:15px; margin-bottom:15px;"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

__Tip__: Um den Artikel im Vollbildmodus zu lesen, einfach rechts oben auf das Symbol >> klicken.

Zwei Jahre sind rum (Hier geht es zum [[Aufenthalt im Mai 2015|Namibia Mai 2015]]). Jetzt geht es wieder über Nacht direkt nach Windhuk, Namibia. Die Beobachtungslisten stehen. Ich bin am Abfluggate und draußen wartet der Flieger. In circa 9.5 Stunden - am frühen Morgen - werden wir in Windhuk landen. Wir heben pünktlich ab.

13 Nächte warten auf meine Beobachtung :) Die Wettervorhersage ist gut und ich freue mich riesig auf die Farm. Zehn Stunden pro Nacht an Beobachtungszeit wird es geben. Wichtig bei Exkursionen dieser Art ist, dass man sich gut erholen kann. Ich versuche mich stets 100-prozentig zu konzentrieren, d.h. tagsüber vollständig zu erholen. Keine anderen Dinge machen, wie eine Wanderung sonst wohin, Besichtigungen von irgendwas. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35006405096/in/datetaken-public/" title="Untitled"><img src="https://c1.staticflickr.com/5/4266/35006405096_11f01ccaeb_n.jpg" style="float:left;  margin-right:15px; margin-bottom:15px;"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Die tägliche Anfahrt zum Beobachtungsplatz fällt zum Glück weg, was schnell pro Weg 30min und mehr in Anspruch nehmen kann. Sind pro Nacht über eine Stunde. Im Sommer in der Regel kein Problem. Im Winter hingegen schon. Will man acht Stunden schlafen und zehn Stunden beobachten, sind damit 18 Stunden bereits verplant. In der Regel bin ich schon zum Sonnenuntergang vor Ort, so dass nochmal locker eine weitere Stunde draufgeht. Bleiben vier bis fünf Stunden für andere Dinge und die sind schnell rum: Tee kochen, Sachen zusammensuchen oder profane Dinge wie Duschen und Essen. Ganz schön anstrengend.

Der Flug verläuft wieder unspektakulär. Plage mich noch etwas mit einer Erkältung rum. Beobachte den Erdschatten auf 10.000m üNN aus dem Fenster. Der sieht richtig dunkel aus und zeigt praktisch keinen Venusgürtel, d.h. den rosa bis orangefarbenen Farbkranz über dem dunkleren Erdschattenbogen. Die Nacht geht nur langsam rum. Schließlich sind wir endlich da. Der Shuttleservice erwartet mich schon und bringt mich am frühen Morgen zusammen mit drei weiteren Sternfreunden auf die Farm.

Im Gegensatz zum letzten Mal habe ich diesmal keinen Großfeldstecher gemietet. Den gibt es auch nicht mehr. Stattdessen geht es gleich in der ersten Nacht mit dem 25 Zöller los. Zwar habe ich einen kleinen 10x50 Feldstecher dabei, nutze ihn tatsächlich nur selten. Das habe ich diesmal anders gemacht und bin mit sehr schönen Eindrücken belohnt worden. Unter diesem Himmel sind die Milchstraßenwolken ein Traum und unsere beiden Nachbargalaxien auch. Mit einem solchen Gerät kann man locker ein paar Nächte rumkriegen.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 19.-20.05.|19. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 6 h, Ort: Tivoli Astrofarm, SQM-L 21.93, +5 Grad Celsius, 5 Objekte''<br>LMC, SMC, [[NGC 2070 - Tarantelnebel]], NGC 3242 - Äußerer Halo von Jupiters Geist, Bug-Nebel|
|[[2. Nacht / 20.-21.05.|20. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 7 h, Ort: Tivoli Astrofarm, SQM-L 21.86, +4 Grad Celsius, 5 Objekte''<br>NGC 2516, __[[IC 2220 - Butterfly Nebel]]__, __[[NGC 3242 - Äußerer Halo von Jupiter's Geist|NGC 3242 - Äußerer Halo]]__, Omega Centauri, __[[NGC 5128 - Centaurus A]]__|
|[[3. Nacht / 21.-22.05.|21. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 8 h, Ort: Tivoli Astrofarm, SQM-L 21.63, +1 Grad Celsius, 7 Objekte''<br>__[[NGC 2818]]__, Schlüssellochnebel, M7, Flemming 1, NGC 3918, __[[Menzel 1]]__, __[[Menzel 2]]__|
|[[4. Nacht / 22.-23.05.|22. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 9 h, Ort: Tivoli Astrofarm, SQM-L 21.92, 0 Grad Celsius,  4 Objekte''<br>Jupiters Geist - Strukturen der inneren Nebelschale, __[[IC 4406]]__, NGC 5882, __[[NGC 6072]]__|
|[[5. Nacht / 23.-24.05.|23. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 9.5 h, Ort: Tivoli Astrofarm, SQM-L 21.83, +6 Grad Celsius, 9 Objekte''<br>__[[Henize 70]]__, __[[Henize 2-29]]__, __[[NGC 3132 - Eight Burst Nebel]]__, __[[NGC 3247]]__, __[[IC 4699]]__, __[[IC 5150]]__, __[[Terzan 3]]__, NGC 6631, //Abell 45//|
|[[6. Nacht / 24.-25.05.|24. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 9.5 h, Ort: Tivoli Astrofarm, SQM-L 21.76, +7 Grad Celsius, 9 Objekte''<br>__[[NGC 2442|NGC 2442 mit 25 Zoll]]__, __[[Henize 2-39]]__, __[[NGC 3199]]__, __[[NGC 3699]]__, NGC 6087, Norma-Galaxienhaufen, Galaxiengruppe um NGC 6855, NGC 6744, ESO 107-4, Terzan 4|
|[[7. Nacht / 25.-26.05.|25. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 9.5 h, Ort: Tivoli Astrofarm, SQM-L 21.7, +6 Grad Celsius, 9 Objekte''<br>__[[IC 2448]]__, __[[NGC 2792]]__, __[[Henize 2-70]]__, NGC 5315, __[[PGC 50779 - Circinusgalaxie]]__, SMC|
|[[8. Nacht / 26.-27.05.|26. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 4.5 h, Ort: Tivoli Astrofarm, SQM-L 21.63, +5 Grad Celsius, 5 Objekte''<br>LMC, //Henize 2-99//,  __[[Menzel 3]]__, __[[NGC 6326]]__, IC 4642|
|[[9. Nacht / 27.-28.05.|27. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 9.5 h, Ort: Tivoli Astrofarm, SQM-L 21.9, -4 Grad Celsius, 5 Objekte''<br>LMC, M83, Antennengalaxien, __[[NGC 6221]]__, __[[NGC 6215]]__, __[[IC 4642]]__, __[[NGC 6337]]__, __[[Henize 2-207]]__|
|[[10. Nacht / 28.-29.05.|28. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 7 h, Ort: Tivoli Astrofarm, SQM-L 21.83, +6 Grad Celsius, 8 Objekte''<br>LMC, NGC 6231, __[[IC 4637]]__, NGC 4628, __[[IC 4699]]__, ''C/2015 V2 (Johnson)'', __[[NGC 6818 - Little Gem Nebel|NGC 6818 - Little Gem Nebel mit 25 Zoll]]__, __[[NGC 7009 - Saturnnebel]]__, SMC|
|[[11. Nacht / 29.-30.05.|29. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 8 h, Ort: Tivoli Astrofarm, SQM-L 21.83, +6 Grad Celsius, 7 Objekte''<br>__[[Henize 2-55]]__, __[[NGC 2867]]__, __[[NGC 6537]]__, Cirrus-Nebel, M27, 47 Tucanae, SMC|
|[[12. Nacht / 30.-31.05.|30. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 6 h, Ort: Tivoli Astrofarm, SQM-L 21.46, +3 Grad Celsius, 7 Objekte''<br>__[[NGC 2579]]__, IC 2501, __[[NGC 6445]]__, NGC 7293 - Helix Nebel, Sommermilchstraße mit bloßem Auge und Feldstecher, __[[NGC 292 - SMC]]__, __[[NGC 346 2]]__|
|[[13. Nacht / 31.05.-01.06.|31. Mai 2017 - Tivoli Astrofarm]]|''25" Dobson, 5 h, Ort: Tivoli Astrofarm, SQM-L 21.83, +6 Grad Celsius, 12 Objekte''<br>__[[NGC 5307]]__, //Henize 2-104//, __[[Henize 2-141]]__, NGC 253, NGC 300, NGC 55, M8, M16, M17, B142 & 143, Katzenpfotennebel|
|!13 Nächte|!Gesamtbeobachtungszeit 118 h, 84 Objekte beobachtet (z.T. mehrfach), davon __[[52 gezeichnet|Tivoli 2017 - Zeichnungen]]__|

Ich habe hier ein paar Videos zusammengestellt, die einige Zeitraffer- und Strichspurvideos enthalten.

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Der Abschied fällt wieder sehr schwer. Die Stimmung beim Kaffee ist gedrückt. Aber so ist das. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34882870242/in/datetaken-public/" title="Untitled"><img src="https://c1.staticflickr.com/5/4207/34882870242_af878ac5f5_n.jpg" style="float:left;  margin-right:15px; margin-bottom:15px;"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Für mich soll dies nicht der letzte Besuch gewesen sein. Wie auch, der Südhimmel macht quasi süchtig. Der Rückflug ist wieder nachts. Auf dem Rollfeld ist der Mond hoch über dem Horizont zu erkennen.

Wieder sehr gute 13 Beobachtungsnächte, wobei nur eine teilweise bewölkt war. Interessant waren auch die Beobachtungen zum Airglow, der visuell auch durch hellere Himmelsabschnitte - vor allem in Horizontnähe - ausgemacht werden konnte. Ich hatte ihn bereits 2015 auf Fotografien erkannt, ihn fälschlicherweise aber als hohe Bewölkung abgetan. Interessant war diesmal auch die Tatsache, das fast in jeder Nacht am frühen Morgen leichter Taubeschlag festzustellen war.

Einige Sternfreunde haben ein kleines "Astronachtcafé" betrieben. Hier wurde Espresso gekocht und aus seltsamen Gefäßen, z.B. Puddingschalen, getrunken; sehr nette Gespräche geführt und viel gelacht. Danke an den Barrista! Ohne Dich hätte ich manche Nacht nicht durchgestanden.

!!Airglow, Seeing... alles dabei!

Das horizontnahe Airglow ist zu Beginn der Nacht rötlich. Ab Mitternacht dann grün. In einer Nacht gab es heftiges Airglow bis in den Zenit, was auch visuell am aufgehellten Himmel zu erkennen war. Fotos zeigen filigrane Strukturen, die sich - vom Horizont ausgehend - über den gesamten Himmel zogen.

Das Seeing war in zwei Nächten sehr gut. Im Rest durchwachsen bzw. schlecht. In der zweiten Nachthälfte ist es i.d.R. besser. Von der Ursache her vermute ich Jetstream, denn die Sterne sind häufig im Teleskop nur aufbläht, wackeln aber sonst nicht. Visuell, mit bloßem Auge betrachet, hatten wir dagegen alles:

*Sterne flackern wie wild => sehr gutes Seeing 
*Sterne flackern wie wild => schlechtes Seeing (So würde man stets vermuten!)
*Sterne stehen komplett still => schlechtes Seeing (Sterne sind bei höheren Vergrößerungen aufgebläht)
*Sterne stehen komplett still => gutes Seeing (So wie es sein müsste!)

Wind aus Süden brachte kalte Luftmassen und sehr gute Transparenz und bei uns auch sehr gutes Seeing. Wind aus Nord hingegen das Gegenteil. Phasenweise, d.h. Stundenweise, war das Seeing dennoch z.T. gut. Insgesamt aber sehr variabel. Verglichen mit anderen guten Standorten auf der Nordhalbkugel, z.B. La Palma, fällt dieser Ort bzgl. des Seeings klar zurück. Bzgl. Dunkelheit des Sternenhimmels hat er aber klar die Nase vorn!

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/gp/106029581@N02/Foi6P7" title="Nambia 2017"><img src="https://farm5.staticflickr.com/4219/34882554382_92ef8ab55b_b.jpg" alt="Nambia 2017"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!!Wo findet man den dunkelsten Nachthimmel?

Es handelt sich bei beiden um Top-Standorte, die zudem relativ gut erreichbar sind. 

Egal wo ich bin, mache ich seit vielen Jahren in fast jeder Nacht Messungen mit dem SQM–L. Ziel ist dabei, die jeweiligen Beobachtungsbedingungen festzuhalten. Zum einen um visuelle Beobachtungen reproduzierbar zu machen. Zum anderen um verschiedene Beobachtungsorte bezüglich der Himmelsqualität vergleichen zu können. 
Ein weiterer Mosaikstein um dies zu tun, war die Dokumentation des Himmels mit Hilfe von All Sky Panoramen. 

!!Alto Tajo, La Palma & Namibia 

Ich habe jetzt mit der neuen APS-C Kamera Aufnahmen vom Alto Tajo, La Palma und Namibia vorliegen. Dabei zeigt sich, dass der Alto Tajo und La Palma auf Augenhöhe liegen. Dies gilt allerdings nicht für Namibia, was ich schon – vor allem in den letzten Jahren – dokumentiert hatte. Insbesondere die Möglichkeit mit der neuen Kamera auch Zeitrafferaufnahmen machen zu können, hat eindrucksvoll gezeigt, dass der Himmel über Namibia noch mal deutlich dunkler ist als der über La Palma. Dabei sind mir die Gründe nicht immer 100-prozentig klar, wobei ich natürlich die Lichtverschmutzung als primäre Quelle ansehe. Aber so einfach ist es nicht.

Folgende Aufnahmen habe ich kurz nach der astronomischen Dämmerung gemacht. Sie stammen alle aus 2019 und haben einen zeitlichen Versatz von max. sechs Monaten.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/qPPA43" title="Untitled"><img src="https://live.staticflickr.com/65535/48566895157_1656797c3b_k.jpg" alt="Untitled"></a>

''__Links__'': La Palma am 04. April auf dem Roque de los Muchachos kurz nach der astronomischen Dämmerung. In der ''__Mitte__'' La Palma gegen Mitternacht in dergleichen Nacht. Die Insel lag bei beiden Aufnahmen (links und in der Mitte) komplett unter Wolken.
''__Rechts__'': Tivoli Astrofarm (Namibia) am 28.05.2019 ebenfalls kurz nach der astronomischen Dämmerung. Identische Aufnahmeeinstellungen. Süden ist unten. Norden oben.

!!La Palma Aufnahmen 

Bei der Aufnahme auf La Palma, genauer dem Roque de los Muchachos, lag die Insel komplett unter Wolken. Trotzdem ist der Himmel heller, als der in Namibia. Sonnenaktivität als Ursache kann nicht ausgeschlossen werden, ist aber unwahrscheinlich. 

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/79V0q9"><img src="https://live.staticflickr.com/65535/48783555377_653f21d2bb_h.jpg"></a>Aufnahme am Morgen des 03. Juni 2019 auf der Tivoli Astrofarm. Am Horizont zeigt sich ein starkes grünes Airglowband durchsetzt auch mit rötlichen Anteilen. Im Norden Richtung Zenit ist schwaches rotes Airglow zu sehen. Insgesamt ist der Himmel mit Airglow fast komplett überzogen. In Namibia tritt (grünes) Airglow vor allem morgens in Erscheinung. Auf La Palma ist Airglow häufig ein Phänomen der ersten Nachthälfte.</div>

Jedenfalls war sie lt. [[Spaceweatherlive.com|https://www.spaceweatherlive.com/de/archiv/2019/04/04/xray]] kaum vorhanden. Der Himmel war recht stark aufgehellt. Das ließ sich visuell sehr gut nachvollziehen. Die Stimmung war magisch.

Gegen Mitternacht wird es dann deutlich dunkler. 21.7 im Zenit maß das SQM-L. Kurze Zeit später wieder 21.6, was auch mich verwunderte, wie ich im BB vom [[04.04.2019|04. April 2019 - La Palma]] vermerkte.

!!Ursache Airglow

Offenbar ist im linken Bild diffuses Airglow erkennbar, etwa nördlich der Lichtbrücke. Dies ist vor allem auch in der späteren Aufnahme in der Mitte zu erkennen, wo es sich offenbar etwa Richtung Nordhorizont zurückgezogen hat. Dann ist auch die dunkelste Stelle des Himmels im Süden bis Südwesten unterhalb der Lichtbrücke zu erkennen. Dieser ist verglichen mit dem rechten Bild von Namibia etwa so dunkel wie der Himmel im Zenit in Namibia. Insgesamt fällt auf, dass auf den La Palma Aufnahmen feine Sterne bis zum Horizont zu erkennen sind. Offenbar ist die horizontnahe Transparenz besser.

Die beiden Aufnahmen von La Palma zeigen auch diffuses Airglow z.T. im Zenit. Das ist in Namibia nicht der Fall. Aber ich erinnere mich auch an Nächte, wo der Himmel auch dort am Morgen aufgehellt war. Auch das war Airglow. Im Juni 2019 konnte ich sie einfangen (s. Einzelfoto).

Hier nochmal zwei Videos, welche die Entwicklung des nächtlichen Airglows zeigen. Links Namibia. Rechts La Palma.

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!Und jetzt?

Fakt ist, dass der Nachthimmel auf La Palma doch heller ist als der in Namibia. Wobei ich bei den ersten Aufenthalten keinen sehr dunklen Nachthimmel in Namibia vorfand, was vermutlich daran lag, dass die Sonnenaktivität doch noch deutlich höher war, als jetzt im bevorstehenden Minimum. 
Der Himmel ist in Namibia noch mal deutlich dunkler. Eine Ursache ist Airglow. Eine andere die Transparenz bzw. atmosphärische Extinktion (des jeweiligen Beobachtungsorts). Doch dazu mehr in einem anderen Artikel.

Objekt: M4, M80, IC 4603 & 4, Teleskop: 10x50 Feldstecher, Vergrößerung: 10x, Filter:-, Bedingungen: SQM-L 21.83, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[24.06.2022|24. Juni 2022 - Tivoli Astrofarm]], Gesichtsfeld 6.5°

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Z0H4nQQ232" title="T"><img src="https://live.staticflickr.com/65535/52339203285_c45acadf25_h.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52339154384/in/photostream/]]

<div class="tc-link-info-item-large" style="float:right;margin-left:15px;margin-bottom:0px;margin-top:5px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/12C807" title="Untitled"><img src="https://live.staticflickr.com/65535/51756055211_81d06fc9de_h.jpg"></a> Zwei alte weiße Männer beim Erfahrungsaustausch.</div>

Ich habe ein neues Teleskop. Dabei ist es gar nicht mal so neu. Von Andreas, einem Sternfreund, habe ich ein 21 Zoll Gerät erworben. Er beobachtete damit seit 2013 und hat es nun abgegeben. An mich. Andreas hat das Gerät selbst konstruiert und es handelt sich um einen Newton in Dobsonbauweise mit einem Öffnungsverhältnis von f3.8. Die kurze Brennweite kommt mir sehr entgegen, denn die Einblickhöhe im Zenit ist etwa 1,85 m. Darüber hinaus hat Andreas sich sehr schöne Gedanken im Vorfeld gemacht, wie das Teleskop transportiert werden kann: Schubkarrenräder und Griffe erlauben es - zusammen mit zwei Rampen - das Teleskop ohne viel Tragerei in das Auto und wieder heraus zu bekommen. 
Doch wie kam es eigentlich dazu, dass ich das Gerät gekauft habe.

! Verabredung im Schwarzwald

Im Astrotreff habe ich die Annonce zufällig gelesen. Habe natürlich sofort Kontakt aufgenommen zu und war von den Eckdaten ganz angetan. Andreas hatte das Gerät bereits 2013 einmal [[im Astrotreff|https://www.astrotreff.de/forum/index.php?thread/151724-21-habe-fertig/]] vorgestellt. Daher wusste ich ungefähr was auf mich zukommt. Was mich vor allem gelockt hat ist die Tatsache, dass der Spiegel aufgrund der geringen Dicke nur circa zehn Kilo wiegt. Das ist praktisch nur unwesentlich mehr, wie mein 14 Zoll Spiegel von Orion mit einer Randdicke von 38 mm. Daher ließ sich zumindest halbwegs prognostizieren, dass ich das Gerät möglicherweise auch teilweise alleine werde transportieren können.

Zunächst erst mal kommt ein Treffen nicht zustande. Das liegt zum einen daran, dass ich nach meinem Fahrradsturz 2020 und dem Trümmerbruch im Ellenbogen, der leider nicht verheilt ist, eine weitere OP Anfang November benötige. Zum anderen hat Andreas keine Zeit und so wird es schließlich Weihnachten bis wir uns sehen. Es ist schließlich der 18. Dezember, ein Samstag und aufgrund des guten Wetters treffen wir uns nicht bei ihm zu Hause, wie angedacht, sondern im Schwarzwald auf 1000 m Höhe. Praktisch bei Vollmond können wir ab circa 16:00 Uhr schon den Mond beobachten und ich kann so die Qualität des Gerätes begutachten.

Zunächst quatschen wir über das Teleskop und andere Dinge. Die Sonne geht unter und der Erdschatten Mega! transparent auf. Selten so gesehen. Selbst an den besten Beobachtungsstandorten. Aber dafür habe ich im Moment keine Zeit, leider. Es gilt das Teleskop anzuschauen und zu begutachten. Vielleicht wird es ja mein letztes Teleskop sein.

! Ich bin begeistert!

Als erstes schaue ich mir an, ob ich mit meinen Okularen in den Fokus komme. Tue ich nicht. Und entgegen der Vermutung, dass der Fokus weiter drinnen liegt, liegt er tatsächlich viel weiter draußen. Mit Verlängerungshülse sollte das kein Problem sein. Darüber hinaus habe ich auch mal ein paar Zeiss Großfeldbinoansatz dabei, der auch mit dem 1,7 fach Glasweg- und Komakorrektor bestückt ist. Ewig nicht mehr damit beobachtet, aber hier Gold wert: das ganze kommt leicht in den Fokus und so können wir beide kurz einen Blick auf den Mond und auf Jupiter werfen. Dabei kommen kurz die Okularpaare Baader Eudiaskopisch 35mm sowie Panoptic 24mm zum Einsatz. Das Bild sehr ästhetisch, blickweise lassen sich auch interessante Strukturen auf Jupiter beobachten. Nur kurz, aufgrund des schlechten Seeings, zeigt das Gerät seine sehr gute optische Leistungsfähigkeit. Anschließend teste ich diverse Okulare bezüglich des Focus und wir machen schließlich auch einen Sterntest, der perfekt ausfällt.

Sehr schön gefällt mir auch, wie smooth das Teleskop sich bewegen lässt, ohne spürbares Ruckeln, und es hält auch alle schweren Okulare, sogar den Binoansatz. Das ist geradezu unglaublich! Spätestens hier weiß ich, dass das Gerät den Besitzer wechseln muss.

Andreas hat das Gerät motorisiert benutzt. Er hat schon einige der Teile zurückgebaut, aber andere Teile sind noch nicht entfernt. Daher geht es diese zunächst noch abzuschrauben. Das dauert noch eine Weile. Aber gegen 19:00 Uhr ist es soweit: wir haben das Gerät in mein Auto verfrachtet, der Deal ist abgeschlossen und wir verabschieden uns.

Aufgrund des kurzen Öffnungsverhältnisses möchte ich mit einem Parracor Komakorrektor beobachten. Wegen eines Missverständnisses hat Andreas leider seinen schon vor ab verkauft. Blöd. Passiert. 

Das Gerät hat noch nicht sein „Second Light“ gesehen. Ich hoffe aber, dass es diesen Winter dazu kommen wird.

Objekt: NGC 100, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114 & 168 fach, Filter: -, Bedingungen: SQM-L 21.3, Ort: Rhön, Zeitpunkt: 11.09.2015 Uhr

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/21389555266/in/datetaken/" title="NGC 100"><img src="https://farm6.staticflickr.com/5735/21389555266_8f4671b87c_b.jpg" alt="NGC 100"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/21389555096/in/datetaken/]]

Objekt: NGC 1055, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Puerto de la Losa, Zeitpunkt: [[31.12.2016|31. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32386409530/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/1/341/32386409530_aa4c6662c3_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32386408580/in/datetaken/]]

Objekt: NGC 1232, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.85, Ort: Reventón, Zeitpunkt: [[22.01.2016|22. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32626209480/" title="NGC 1232"><img src="https://c1.staticflickr.com/4/3928/32626209480_20961d43a0_b.jpg" alt="NGC 1232"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32966575736/in/photostream/]]

Objekt: NGC 1300, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Nablanca, Zeitpunkt: [[29.12.2016|29. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31378205643/in/datetaken/" title="Untitled"><img src="https://c4.staticflickr.com/1/279/31378205643_8689d1b2dd_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31813524700/in/datetaken/]]

Objekt: NGC 1333, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 168x, Filter: -, Bedingungen: SQM-L 21.7, Ort: Weinberge über Puntagorda, Zeitpunkt: [[19.01.2018|19. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40083444651/" title="NGC 1333"><img src="https://farm5.staticflickr.com/4747/40083444651_810f861ebc_c.jpg" alt="NGC 1333"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26209531348/in/photostream/]]

Objekt: NGC 1360, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter: OIII, Bedingungen: SQM-L 21.86, Ort: Roque de los Muchachos, Zeitpunkt: [[26.01.2017|26. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33136153751/in/photostream/" title="NGC 1360"><img src="https://c1.staticflickr.com/4/3736/33136153751_055bd0f633_o.jpg" alt="NGC 1360"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32450018823/in/photostream/]]

Objekt: NGC 1365, Teleskop: 25" f/4 Newton, 
Vergrößerung: 178x, __278x__ & 454x, Filter:-, Bedingungen: SQM-L 21.7, Ort: Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[27. Juni 2022|27. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3zUF6094V9" title="NGC 1365"><img src="https://live.staticflickr.com/65535/52391306938_1c0d734f3b_h.jpg" alt="NGC 1365"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52391372369/in/photostream/]]

Objekt: NGC 1491, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 114x, Filter:OIII, Bedingungen: SQM-L 21.6, Ort: RDLM, Zeitpunkt: 06.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24504161123/in/datetaken/" title="ngc1491"><img src="https://farm2.staticflickr.com/1455/24504161123_c8a8281d30_o.jpg" alt="ngc1491"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/25131002665/in/datetaken/]]

Objekt: NGC 1499, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 40x, Filter: H-Beta, Bedingungen: SQM-L 21.73, Ort: RDLM, Zeitpunkt: 07.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24351797074/in/datetaken/" title="NGC1499"><img src="https://farm2.staticflickr.com/1586/24351797074_703957b7ce_o.jpg"  alt="NGC1499"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24351796834/in/datetaken/]]

Objekt: NGC 1499 & M45, Kamera: astromod. Sony A6000 (APS-C) mit Sigma 56mm f1.4 @f1.7, Filter: STC-Multispectra Clip-Filter, 20x60 sec, Bedingungen: SQM-L 21.7, [[Athos Star Campus]], [[18.09.2019|17. September 2020 - La Palma]], Omegon Astrotracker NS, Stacking in Sequator, Finale Bearbeitung in LR iOS

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50874167417/in/dateposted-public/" title="M45 &amp; NGC 1499"><img src="https://live.staticflickr.com/65535/50874167417_2fb3435ad4_k.jpg" alt="M45 &amp; NGC 1499"></a>

Objekt: NGC 1501, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[20.01.2018|20. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26854228148/" title="NGC 1501"><img src="https://farm5.staticflickr.com/4794/26854228148_357723bfd8_c.jpg" alt="NGC 1501"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40682670572/in/photostream/]]

Objekt: NGC 1514, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter: UHC, Bedingungen: SQM-L 21.86, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31344619104/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/1/524/31344619104_0560ba837a_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31344618964/in/datetaken/]]

Objekt: NGC 1535, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 800x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan & [[Pinar de Araceli (PDA)]], Zeitpunkt: [[01.01.2019|01. Januar 2019 - Muela de San Juan]] & [[30.12.2019|30. Dezember 2019 - Pinar de Araceli]], Seeing 1+

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1q3970" title="NGC 1535"><img src="https://live.staticflickr.com/65535/49627203738_48fa2df5dc_c.jpg" alt="NGC 1535"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49627203763/in/photostream/]]

Objekt: NGC 1555, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114, Filter: -, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 17.03.2015 23:00

<a href="https://www.flickr.com/photos/106029581@N02/16298849513" title="NGC1555 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8725/16298849513_9ebc5b5f1d.jpg" alt="NGC1555"></a>

[[Invertierte Darstellung||https://www.flickr.com/photos/106029581@N02/16298932223]]

Objekt: NGC 1579, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 168-290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Weinberge über Puntagorda, Zeitpunkt: [[19.01.2018|19. Januar 2018 - La Palma]], Seeing 2-3

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40860879145/in/datetaken-public/" title="NGC 1579"><img src="https://farm1.staticflickr.com/974/40860879145_d3ff5e2893_c.jpg" alt="NGC 1579"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26891536857/in/datetaken-public/]]

Objekt: NGC 1624 & Sh2-212, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65 & 114 fach, Filter: UHC, Bedingungen: SQM-L 21.8, Ort: La Podona, Zeitpunkt: [[30.03.2019|30. März 2019 - La Palma]], Seeing 2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/xC5s5S" title="NGC 1624 &amp; Sh2-212"><img src="https://live.staticflickr.com/65535/47668346482_2e34eb22dc_c.jpg" alt="NGC 1624 &amp; Sh2-212"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47668346462/in/dateposted/]]

Objekt: NGC 1637, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Puerto del Pinar, Zeitpunkt: [[29.12.2016|29. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/31993453150/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/1/664/31993453150_718614b46c_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31528018864/in/datetaken/]]

Objekt: NGC 1788, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Puerto del Pinar, Zeitpunkt: [[29.12.2016|29. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32648019652/in/datetaken/" title="NGC 1788"><img src="https://c1.staticflickr.com/3/2798/32648019652_8bfb58e9cf_b.jpg" alt="NGC 1788"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31987213213/in/datetaken/]]

Objekt: NGC 1964, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32067535961/in/datetaken/" title="Untitled"><img src="https://c2.staticflickr.com/1/594/32067535961_be45ebfbe6_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32037208332/in/datetaken/]]

Objekt: NGC 1975, 77 & 74, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 80x, Filter:- SQM-L: 21.6, Ort: Lange [[Rhön]], Zeitpunkt: [[9.10.2021|9. Oktober 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2ND8Lu" title="Running Man"><img src="https://live.staticflickr.com/65535/51877082301_cb609b3113_k.jpg" alt="Running Man"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51877082796/in/photostream/]]

Objekt: NGC 1999, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.7, Ort: Weinberge über Puntagorda, Zeitpunkt: [[19.01.2018|19. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26856799098/" title="NGC 1999"><img src="https://farm5.staticflickr.com/4801/26856799098_98aae17ccb_c.jpg"  alt="NGC 1999"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40017861494/in/photostream/]]

Objekt: NGC 2022, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 290x, Filter: UHC, Bedingungen: SQM-L 21.85, Ort: Reventón, Zeitpunkt: [[22.01.2016|22. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32123755873/in/datetaken-public/" title="Untitled"><img src="https://c1.staticflickr.com/3/2902/32123755873_0923b0ed6d_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32814161621/in/datetaken-public/]]

Objekt: NGC 2024 & IC 434, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65 & 168x, Filter: UHC + Hß , Bedingungen: SQM-L 21.82, Ort: Nablanca, Zeitpunkt: [[26.12.2016|26. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32311804456/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/1/463/32311804456_fc3f255983_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31508733934/in/datetaken/]]

Objekt: NGC 2024, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: 83x, Filter: UHC, Bedingungen: SQM-L 21.7, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[27.03.2022|27. März 2022 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/d6qP5q" title="NGC 2024"><img src="https://live.staticflickr.com/65535/52026669684_267f974957_c.jpg" alt="NGC 2024"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52026424871/in/photostream/]]

Objekt: NGC 206 mit Einzelstern(en), Teleskop: 21" f/3.8 Dobson, Vergrößerung: ca. 83x & 231x & 278x, Filter:-, Bedingungen: SQM-L 21.46, Ort: [[Lange Rhön|Rhön]], Zeitpunkt:  [[06.08.2022|06. August 2022 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/koBW859N64" title="NGC 206"><img src="https://live.staticflickr.com/65535/52282019598_fc0d59fdd1_c.jpg" alt="NGC 206"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51978774588/in/photostream/]]

Objekt: NGC 2070 - Tarantelnebel, Teleskop: 25" f/4 Newton, Vergrößerung: 100x, Filter:OIII, Bedingungen: SQM-L 21.86, Ort: Tivoli Astrofarm, Zeitpunkt: [[19/20/21.05.2017|19. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34539533524/in/datetaken-public/" title="NGC 2070 - Tarantelnebel"><img src="https://c1.staticflickr.com/5/4218/34539533524_96dfcd51df_o.jpg" alt="NGC 2070 - Tarantelnebel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34995723890/in/datetaken-public/]] [[High Resolution|https://www.flickr.com/photos/106029581@N02/35343059266/in/datetaken-public/]]

Objekt: NGC 2146, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 290x, Filter:-, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[28.11.2016|28. November 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31703858585/in/datetaken/" title="NGC 2146"><img src="https://c2.staticflickr.com/1/229/31703858585_54a891c837_b.jpg"  alt="NGC 2146"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31703858565/in/datetaken/]]

Objekt: NGC 2163, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x & 290x, Filter:-, Ort: Campos de Hernan Perea, Zeitpunkt: [[23.12.2022|23. Dezember 2022 - Campos de Hernan Perea]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/JQHE19SQ2n" title="NGC 2163"><img src="https://live.staticflickr.com/65535/52696806930_d233cb1475_h.jpg" alt="NGC 2163"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52695874027/in/photostream/]]

Objekt: NGC 2174, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 65x, Filter: UHC, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 09.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24397425083/in/datetaken/" title="NGC2174"><img src="https://farm2.staticflickr.com/1503/24397425083_f59396d028_o.jpg" alt="NGC2174"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24656654399/in/datetaken/]]

Objekt: NGC 2207 & IC 2163, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: Bortle 1, Ort: Reventón, Zeitpunkt: [[29.01.2017|29. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33230017075/" title="Untitled"><img src="https://c1.staticflickr.com/1/323/33230017075_bb490c2312_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32846876610/in/photostream/]]

Objekt: NGC 2242, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430 fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[06.04.2019|06. April 2019 - La Palma]], Seeing 1

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/5TX2iH" title="NGC 2242"><img src="https://live.staticflickr.com/65535/46763586545_4f038080da_c.jpg" alt="NGC 2242"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32736579587/in/dateposted/]]

Objekt: NGC 2245, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 168x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[07.04.2019|07. April 2019 - La Palma]], Seeing 2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/80UmSs" title="NGC 2245"><img src="https://live.staticflickr.com/7801/33727896928_71bfba8e11_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33727896938/in/photostream/]]

Objekt: NGC 2291, Teleskop: 20" f/3.8 Newton, Vergrößerung: 351x, Filter:-, Ort:  [[Athos Star Campus]], Zeitpunkt: [[11. & 12.12.2023|11. Dezember 2023 - Athos Star Campus]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/53549979109/in/dateposted/" title="NGC 2261"><img src="https://live.staticflickr.com/65535/53549979109_97228ec78a_h.jpg" alt="NGC 2261"/></a>

Objekt: NGC 2261 - Hubble's Veränderlicher Nebel, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Wasserkuppe, Zeitpunkt: [[13.02.2018|13. Februar 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40343945241/" title="NGC 2261"><img src="https://farm5.staticflickr.com/4710/40343945241_417ae63b0d_c.jpg" alt="NGC 2261"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26472662068/]]

Objekt: NGC 2282, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 fach, Filter:-, Bedingungen: SQM-L 21.8, Ort: Wasserkuppe & Muela de San Juan, Zeitpunkt: [[15.10.2017|15. Oktober 2017 - Wasserkuppe]] & [[31.12.2018|31. Dezember 2018 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46890151491/in/datetaken/" title="NGC 2282"><img src="https://farm8.staticflickr.com/7868/46890151491_f1af52caa9_c.jpg" alt="NGC 2282"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46890151501/in/datetaken/]]

Objekt: NGC 2316, Teleskop: 20" f/3.8 Newton, Vergrößerung: 351x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[14.12.2023|14. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/rXe4yBw63p" title="NGC 2316"><img src="https://live.staticflickr.com/65535/53509070965_f33b0d7501_h.jpg" alt="NGC 2316"/></a>

Objekt: NGC 2346, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 900x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[31.12.2018|31. Dezember 2018 - Muela de San Juan]], Seeing 2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46545059474/in/dateposted/" title="NGC 2346"><img src="https://farm8.staticflickr.com/7829/46545059474_b4c90b981b_c.jpg" alt="NGC 2346"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32326581367/in/photostream/]]

Objekt: NGC 2359 - Thor's Helm, Teleskop: 14" Newton f4.6, Vergrößerung: 65 - 168x, Filter: OIII, Bedingungen: -, Ort: RDLM, Zeitpunkt: 02.04.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/27043753251/in/datetaken/" title="Untitled"><img src="https://farm8.staticflickr.com/7562/27043753251_cea490930f_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26509736504/in/datetaken/]]

Objekt: NGC 2359 - Thor’s Helm, Teleskop: 25" Zoll Dobson & ''24" f/4.3 Bino-Dobson'', Vergrößerung: 154 fach, Filter:OIII, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[1.06.2019|01. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4264kg" title="Thor‘s Helm mit 24 Zoll"><img src="https://live.staticflickr.com/65535/49128680797_6b864a0788_c.jpg" alt="Thor‘s Helm mit 24 Zoll"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49128007718/in/datetaken/]]

Objekt: NGC 2366, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290 fach, Filter: -, Bedingungen: SQM-L 21.73, Ort: La Podona, Zeitpunkt: [[04.04.2019|04. April 2019 - La Palma]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/R7132E" title="NGC 2366"><img src="https://live.staticflickr.com/65535/47111224514_df6dd9efc2_c.jpg" alt="NGC 2366"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47111224524/in/photostream/]]

Objekt: NGC 2371 & 2372, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 800x, Filter:-, Bedingungen: SQM-L 21.96, Ort: Puerto de la Losa, Zeitpunkt: [[31.12.2016|31. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32759546551/in/datetaken/" title="NGC 2371 &amp; 2372"><img src="https://c1.staticflickr.com/1/561/32759546551_c34f19af41_b.jpg" alt="NGC 2371 &amp; 2372"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32729919242/in/datetaken/]]

Objekt: NGC 2392, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: ca. 800x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan & [[Pinar de Araceli (PDA)]], Zeitpunkt: [[01.01.2019|01. Januar 2019 - Muela de San Juan]] & [[27.12.2019|27. Dezember 2019 - Pinar de Araceli]], Seeing 1+

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/U097xY" title="NGC 2392"><img src="https://live.staticflickr.com/65535/49612697436_dde26531f5_c.jpg" alt="NGC 2392"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49612697431/in/photostream/]]

Objekt: NGC 2392, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: ca. 1200x, Filter:-, Bedingungen: SQM-L 21.8, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[27.03.2022|27. März 2022 - Lange Rhön]], Seeing 1+

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Qv2V69" title="NGC 2392 - Innere Strukturen"><img src="https://live.staticflickr.com/65535/52024623529_9027857524_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52024411653/in/datetaken/]]

Objekt: NGC 2403, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 80x & __168x__, 290x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Lange [[Rhön]], Zeitpunkt: [[02. & 05. & 06.03.2021|6. März 2021 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/51026309687/" title="NGC 2403"><img src="https://live.staticflickr.com/65535/51026309687_d3c78b524d_b.jpg" alt="NGC 2403"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51026308627/in/photostream/]]

NGC 2403 ist eine Balkenspiralgalaxie im unscheinbaren Sternbild Giraffe. Sie gehört zur [[M81-Gruppe|https://de.wikipedia.org/wiki/M81-Gruppe]]. Sie enthält viele HII-Regionen, die auch schon in mittleren Geräten beobachtet werden können. Die hellste hat eine eigene NGC-Nummer NGC 2404.

NGC 2404 ist als helles „Wölkchen“ mit stellarem Kern bereits bei niedrigen Vergrößerungen erkennbar. Sie ist die hellste HII-Region innerhalb von NGC 2403. Weitere HII-Gebiete kann man mit mittelgroßen Teleskopen sichten. Dazu ist __kein__ Filter notwendig. 

!Die Galaxie NGC 2403 und ihre HII-Gebiete

Objekt: NGC 2403, Teleskop: 14" f/4.6 Newton, Vergrößerung: 80x & 168x, 290x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Lange Rhön, Zeitpunkt: 02. & 05. & 06.03.2021, Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/a6J0p3" title="Untitled"><img src="https://live.staticflickr.com/65535/51025895368_7792bf138b_k.jpg"></a>

!Beobachtung im Feldstecher und mittelgroßen Dobson

NGC 2403 präsentiert sich bereits im Feldstecher als heller, kleiner, ovaler Nebel. Im Teleskop (14 Zoll Newton) wird bei niedriger Vergrößerung eine helle Galaxie mit vielen Knoten sichtbar. Dabei zeigt sich ein diffuses Zentrum, in dessen Nähe ein Vordergrundstern steht. Vom Zentrum gehen diffuse, kurze Arme ab. Zentral zeigt sich ein gebogener Balken. Westlich geht vom Zentrum  ein heller Arm ab, der zusehends schwächer wird. Der zweite Spiralarm ist deutlich schwächer und umfasst die Galaxie weiter außen. Bereits bei geringer Vergrößerung werden im Galaxienkörper verschiedene helle Knoten sichtbar, die leicht von Vordergrundsternen unterschieden werden können.

Die Galaxie wurde von William Herschel am 1. November 1788 entdeckt ([[Quelle: Wikipedia|https://de.wikipedia.org/wiki/NGC_2403]]). 

!Die HII-Gebiete von NGC 2403 beobachten 

Die Galaxie hat zahlreiche HII-Regionen, die hellste von ihnen ist NGC 2404. Möchte man strukturiert vorgehen, ist eine Karte notwendig. Eine vorherige Internetrecherche ist dabei sinnvoll. Bei der Beobachtung habe ich mich auf verschiedene Internetseiten gestützt, i.W. diese hier:

!!Cloudy Nights Posts

*Cloudynights.com - https://www.cloudynights.com/topic/643040-ngc2403-in-camelopardalis-and-full-of-content/ - [1]
*Cloudynights.com - https://www.cloudynights.com/topic/352179-ngc-2403/
*Cloudynights.com - https://www.cloudynights.com/topic/409861-hii-regions-in-ngc-2403/ - [2]

!!Andere visuelle Beobachter

*Uwes Seite - Deep Sky Visuell: http://www.deepsky-visuell.de/Zeichnungen/NGC2403_HII.htm
*Hajüs Seite - Astromerk.de - https://www.astromerk.de/logbuch/2020/446-kleines-beobachtungsprojekt-ngc-6946-und-ngc-2403.html

!!Selbst „entdecken“

*Aladin Lite - http://aladin.u-strasbg.fr/AladinLite/?target=%5bDRM99%5d%205-14&fov=0.033334&survey=P%2fDSS2%2fcolor - [3]

!Beobachtung mit 14 Zoll

Bei der Recherche hat sich schließlich gezeigt, dass nicht alle erkennbaren HII-Regionen übereinstimmend als solche ausgewiesen werden. Dennoch ist ein überwiegend hoher Abdeckungsgrad  vorhanden. Ich habe mich bei meiner Beschriftung auf [1] abgestützt. Ergänzt wurden diese durch [3].

*__Grün__ eingekreist sind die Objekte, die sehr leicht, zum Teil schon bei 80 facher Vergrößerung auszumachen sind. 
*__Gelb__ eingekreist sind Objekte, schwächer als grün sind, aber indirekt immer noch gut erkennbar sind. 
*__Rot__ eingekreiste Objekte sind nochmals schwächer und indirekt sichtbar, können aber indirekt nicht immer gehalten werden.

Alle meine Beobachtungen erfolgten ohne Filter, wenngleich ich einen UHC probiert, aber aufgrund der geringen Wirksamkeit wieder verworfen habe. 

Unten die tabellarische Übersicht basierend auf den jeweiligen Katalogbezeichnungen, wo VS von Véron and Sauvayre’s 1965 Katalog stammt, H von Hodge’s Artikel von 1985 mit dem Titel [[“Stellar Associations in the Galaxy NGC 2403”|http://adsabs.harvard.edu/full/1985PASP...97.1065H]] und SP von einem weiteren Artikel von [[Sivan et al. (1990)|http://adsabs.harvard.edu/full/1990A%26A...237...23S]]. Die Zuordnungen stammen aus [1] & [3].

|!Nr.|!Katalogbezeichnung|!Beobachtungsbeschreibung|
|1 |(VS 49/48) (H 73) (SP 331/336/343)|Relativ hell und länglich. Indirekt leicht, gut zu halten.|
|2 |(VS 51) (H 80) (SP 346)|Indirekt nicht sofort erkennbar. Kann aber knapp gehalten werden.|
|3 |(VS 52) (H 81) (SP 348/351/352)|Sehr leicht als runder Fleck zu erkennen.|
|4 |(NGC 2404) (VS 44) (H 67) (SP 298)|Indirekt nicht sofort erkennbar. Kann aber knapp gehalten werden.|
|5|(VS 38) (H 40) (SP 224)|Einfacher erkennbar als 4. Wirkt stellar. Reagiert aber nur mäßig auf UHC.|
|6|(VS 24) (H 36) (SP 174)|Einfacher erkennbar als 4. Wirkt stellar. Wie 5. Reagiert aber nur mäßig auf UHC.|
|7|(VS 21) (H ??) (SP 158)|Indirekt nicht sofort erkennbar. Kann aber knapp gehalten werden.|
|8|(VS 5/7) (H 24) (SP 57/68/69/73/76/80)|Auffällig schon bei 80 facher Vergrößerung. Stellarer Kern.|
|9|(VS 3) (H 14) (SP 44)|Einfach erkennbar. Kann direkt gesehen und gehalten werden.|
|10|(VS 9)  (H 22) (SP 99)|Indirekt leicht erkennbar. Kann auch indirekt gut gehalten werden|
|11|CXOU J073635.7+653509|Kann indirekt knapp gehalten werden, aber nicht durchgängig.|
|12|SP 221/318/322|Immer wieder aufblitzend. Kann indirekt nicht gehalten werden. Schwer!  |
|13|[SPC 90] 091|In direkter Nachbarschaft zu 8. Kann indirekt knapp und gut gehalten werden.|
|14|H 30|Sehr leicht als runder Fleck zu erkennen.|
|15|[ZH91] NGC 2403 2306 (?)|Direkt neben einem schwachen Stern. Nicht mit diesem verwechselt. Indirekt schwer, aber knapp zu halten.|
|16|[SPC 90] 341|Außerhalb des sichtbaren Galaxienkörpers. Immer wieder aufblitzend. Kann indirekt nicht gehalten werden. |
|- |NGC 2404|Sehr auffällig, hell und flächig. Stellarer Kern.|
|!Σ 17|>|!Weitere HII-Gebiete z.B. südlich des Zentrums oder in den Außenbereichen waren nicht erkennbar, obgleich in den Karten & auf Fotos deutlich erkennbar.|

!Diskussion

Es ist schon erstaunlich, wie viele HII–Regionen schon in mittleren Teleskopen sichtbar sind. Beobachtet habe ich diese insgesamt in [[drei Nächten (2. & 5. & 6.3.2021)|Frühjahr 2021]]. Das Seeing war gut mit immer wieder deutlich besseren Momenten. Maximale Vergrößerung war 290 fach. Gesamtbeobachtungszeit war circa 6 Stunden. 21.6 < SQM-L < 21.85. Die Hälfte der beobachteten HII-Gebiete (s. Tabelle) könnte sogar schon mit 12 Zoll gehen. 

Was ist aber, wenn die beobachteten Objekte gar keine HI-Regionen sind? Welche Fehler kann man machen oder können sich bei der Beobachtung einschleichen?

Zunächst bleibt als wichtigste Fehlerquelle die Beobachtung von Vordergrundsternen, die irrtümlich für eine HII-Region gehalten werden. Dies ist grundsätzlich möglich, wenngleich ich darauf geachtet habe, dass die beobachteten HII-Objekte nicht zu nah an Vordergrundsternen liegen. Gemäß den mir zur Verfügung stehenden Quellen handelt es sich daher wahrscheinlich um die oben angegebenen HII-Objekte. 

Umgekehrt kann ich trotz sorgfältiger Vorbereitung und Beobachtung auch nicht ausschließen, dass weitere Gebiete auch mit ähnlich großen Teleskopen gesichtet werden können, d.h. die oben angegebene Liste ist möglicherweise nicht vollständig! Insgesamt kann ich festhalten, dass es sich nicht um Beobachtungen im Extrembereich gehandelt hat.

!Weitere Herausforderungen - geht da noch mehr?

Mit größeren Geräten sollte es möglich sein noch mehr HII-Gebieten ausfindig zu machen. Insbesondere in der Nähe des Zentrums sind einige vorhanden (z.B. H 41), die ich mit 14 Zoll nicht erkannt habe. Hier muss man vermutlich stärker vergrößern, um diese tatsächlich zu erkennen. Bei mir lag die maximale Vergrößerung bei 290 fach. Um die oben angegebene Liste der positiven Sichtungen deutlich zu erweitern, ist die Verwendung von größeren Öffnungen mit Sicherheit lohnend.

Eine Möglichkeit die Ausbeute zu steigern ist auch der Einsatz von Filtern, um die Objekte stärker vom Galaxienkörper bzw. Himnelshintergrund trennen zu können.

__''Wissenschaftliche Artikel/Quellen:''__

[4] - „Stellar associations in the galaxy NGC 2403 - Hodge, P., 1985 - http://adsabs.harvard.edu/full/1985PASP...97.1065H<br>
[5] - „Optical H II regions in NGC 2403“ - Sivan, J. P., Petit, H., Comte, G., & Maucherat, A. J., 1990 - http://adsabs.harvard.edu/full/1990A%26A...237...23S

Objekt: NGC 2419, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Puerto de la Losa, Zeitpunkt: [[31.12.2016|31. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31372152413/in/datetaken/" title="Untitled"><img src="https://c6.staticflickr.com/6/5527/31372152413_c76dc40a6c_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31807471570/in/datetaken/]]

Objekt: NGC 2438, 25" f/3.2 Dobson, Vergrößerung: 610x, Filter:-, Ort: [[Athos Star Campus]], Zeitpunkt: [[28.01.2022|28. Januar 2022 - Athos Star Campus]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/w6bkHy" title="NGC 2438"><img src="https://live.staticflickr.com/65535/51978782801_4873fbc475_c.jpg" alt="NGC 2438"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51978782806/in/photostream/]]

Objekt: NGC 2438, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 290x, Filter:-, Bedingungen: SQM-L 21.82, Ort: Nablanca, Zeitpunkt: [[26.12.2016|26. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32088398833/in/datetaken/" title="NGC 2438"><img src="https://c1.staticflickr.com/3/2605/32088398833_2fc68ba02c_b.jpg" alt="NGC 2438"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32779401581/in/datetaken/]]

Objekt: NGC 2440, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 900x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[02.01.2019|02. Januar 2019 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/s800bA" title="NGC 2440"><img src="https://farm8.staticflickr.com/7826/33464374868_e2cde84943_c.jpg" alt="NGC 2440"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33464374898/in/photostream/]]

Objekt: NGC 2442 - „Fleischerhaken“ , Teleskop: ''24" f/4.3 Bino-Dobson'', 
Vergrößerung: 218 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[1.06.2019|01. Juni 2019 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/9D494S" title="NGC 2442"><img src="https://live.staticflickr.com/65535/48813229041_4f9e8ea6b8_c.jpg" alt="NGC 2442"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48813377927/in/dateposted/]]

Objekt: NGC 2444 & 2445 = Arp 143, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: 231x & __380x__, Filter:-, Bedingungen: SQM-L 21.7, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[25. & 26.03.2022|25. März 2022 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/54V93P" title="Arp 143"><img src="https://live.staticflickr.com/65535/52075127845_bc781a1aa3_c.jpg" alt="Arp 143"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52094224309/in/dateposted/]]

Objekt: NGC 2452, 25" f/4 Dobson, Vergrößerung: 670x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[06.05.2021|06. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/dM1f97" title="NGC 2452"><img src="https://live.staticflickr.com/65535/51741868009_67d96f1336_c.jpg" alt="NGC 2452"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51740400712/in/photostream/]]

Objekt: NGC 246, Teleskop: 25" f/4 Newton, 
Vergrößerung: 178x, Filter: ''OIII'', Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[06. & 07.08.2018|6. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/S359V0" title="NGC 246"><img src="https://live.staticflickr.com/65535/49152386151_74e8205300_c.jpg" alt="NGC 246"></a>

[[NGC 246 - Totenkopfnebel mit 14 Zoll]]

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49152386171/in/datetaken/]]

Objekt: NGC 246, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter: UHC, Bedingungen: SQM-L 21.86, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32144407526/in/datetaken/" title="Untitled"><img src="https://c7.staticflickr.com/1/595/32144407526_046ab6fc92_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>


[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32144407326/in/datetaken/]]

Objekt: NGC 2467, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 164x, Filter: UHC, Bedingungen: SQM-L 21.7, Ort: Ort: [[Athos Star Campus]], Zeitpunkt: [[29. Januar 2022|29. Januar 2022 - Athos Star Campus]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0U454162Q9" title="NGC 2467"><img src="https://live.staticflickr.com/65535/52335651455_911de73d1b_c.jpg" alt="NGC 2467"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52334267132/in/photostream/]]

Objekt: NGC 247, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.5, Ort: Puerto del Pinar, Zeitpunkt: [[30.12.2016|30. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/31385748534/in/datetaken/" title="Ohne Titel"><img src="https://live.staticflickr.com/560/31385748534_072ecac0cc_o.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31385748584/in/datetaken/]]

Objekt: NGC 253, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Nablanca, Zeitpunkt: [[26.12.2016|26. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/31987283433/in/datetaken/" title="NGC 243"><img src="https://c1.staticflickr.com/3/2110/31987283433_e393f9ac34_b.jpg" alt="NGC 243"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32586648502/in/datetaken/]]

Objekt: NGC 2537, Teleskop: 21" f/3.8 Newton, Vergrößerung: 378x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[09.03.2024|8. März 2024 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/hL730185pn" title="NGC 2537 - Bärentatzen-Galaxie"><img src="https://live.staticflickr.com/65535/53582622502_c589b8a7d1_h.jpg" alt="NGC 2537 - Bärentatzen-Galaxie"/></a>

Objekt: NGC 2579, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.8, Ort:  Tivoli Astrofarm, Zeitpunkt: [[30.05.2017|30. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36592889183/in/datetaken-public/" title="NGC 2579"><img src="https://farm5.staticflickr.com/4468/36592889183_7b2f4fc3ae_c.jpg" alt="NGC 2579"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/37006745620/in/datetaken-public/]]

Objekt: NGC 2610, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: UHC, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[02.01.2019|02. Januar 2019 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32183446797/in/dateposted-public/" title="NGC 2610"><img src="https://farm8.staticflickr.com/7873/32183446797_b8769e5710_c.jpg" alt="NGC 2610"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46211500405/in/dateposted-public/]]

Objekt: NGC 2626, Teleskop: 20" f/3.8 Newton, Vergrößerung: 138x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[14.12.2023|14. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Aojvqr401S" title="NGC 2626"><img src="https://live.staticflickr.com/65535/53550328076_559e362450_h.jpg" alt="NGC 2626"/></a>

Objekt: NGC 2683, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Wasserkuppe, Zeitpunkt: [[13.02.2018|13. Februar 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/39487335975/" title="NGC 2683"><img src="https://farm5.staticflickr.com/4764/39487335975_ee20b47395_c.jpg" alt="NGC 2683"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26472662068/]]

Objekt: NGC 2685, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 290x, Filter:-, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[03.12.2016|03. Dezember 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31676644742/in/datetaken/" title="NGC 2685"><img src="https://c7.staticflickr.com/1/314/31676644742_9908093e65_b.jpg" alt="NGC 2685"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/30983211204/in/datetaken/]]

Objekt: Abell 7, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180, Filter: OIII, Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkt: 16.05.2015 21:40-0:35 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18620524418" title="NGC2736 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/480/18620524418_ea712dd259_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18803490202]]

Objekt: NGC 2736, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180x, Filter: OIII, Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkt: [[09.06.2021|09. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/sY6580" title="NGC 2736 - Herschels Bleistift"><img src="https://live.staticflickr.com/65535/51302228011_a69166152a_b.jpg" alt="NGC 2736 - Herschels Bleistift"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51301481807/in/photostream/]]

Objekt: NGC 2792, 25" f/4 Dobson, Vergrößerung: 1000x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[26 & 27.05.2019|27. Mai 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/vT0L78" title="NGC 2792"><img src="https://live.staticflickr.com/65535/51736158964_7f3c1f4031_c.jpg"  alt="NGC 2792"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51736402460/in/photostream/]]

Objekt: NGC 281, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 65x, Filter: UHC, SQM-L: 21.6, Ort: Frankenheim, Zeitpunkt: [[4.09.2021|4. September 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/c9zep9" title="NGC 281"><img src="https://live.staticflickr.com/65535/51691953260_ce3b34475c_h.jpg" alt="NGC 281"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51691334998/in/photostream/]]

Objekt: NGC 2818, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.7, Ort: Tivoli Astrofarm, Zeitpunkt: [[21.05.2017|21. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24100471577/" title="NGC 2818"><img src="https://farm5.staticflickr.com/4690/24100471577_f8532845be_c.jpg" alt="NGC 2818"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27187920459/]]

Objekt: NGC 2867, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[29.05.2017|29. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35680217894/in/datetaken-public/" title="NGC 2867"><img src="https://farm5.staticflickr.com/4402/35680217894_e043f94f9f_c.jpg" alt="NGC 2867"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36118501050/in/datetaken-public/]]

Objekt: NGC 288, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32039376882/in/datetaken/" title="Untitled"><img src="https://c3.staticflickr.com/6/5723/32039376882_48be3d9f87_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Objekt: NGC 2899, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180-280x, Filter: [OIII], Bedingungen: SQM-L 21.89, Ort: Tivoli Astrofarm, Zeitpunkt: 22.05.2015 21:10 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18515953045"><img src="https://c1.staticflickr.com/1/288/18515953045_0e9c964890_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/17895493863]]

Objekt: NGC 2903, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Wasserkuppe, Zeitpunkt: [[13.02.2018|13. Februar 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/39751262244/" title="NGC 2903"><img src="https://farm5.staticflickr.com/4711/39751262244_cc5e3581e5_c.jpg" alt="NGC 2903"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40461574781/in/photostream/]]

Objekt: NGC 292 - SMC, Teleskop: 10x50 Feldstecher, Vergrößerung: 10x, Filter:-, Bedingungen: SQM-L 21.86, Ort: Tivoli Astrofarm, Zeitpunkt: [[14.06.2021|14. Juni 2021 - Tivoli Astrofarm]], Gesichtsfeld 6°

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4993J4" title="SMC"><img src="https://live.staticflickr.com/65535/51302424728_05f4269a9e_h.jpg" alt="SMC"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51302246503/in/photostream/]]

Objekt: NGC 2964 & 68 & 70, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.64, Ort: Stumpertenrod, Zeitpunkt: [[05.05.2018|5. Mai 2018 - Stumpertenrod]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40128761330/in/datetaken-public/" title="NGC 2964 Gruppe"><img src="https://farm1.staticflickr.com/973/40128761330_24487d1e42_c.jpg" alt="NGC 2964 Gruppe"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41891661662/in/datetaken-public/]]

Objekt: NGC 2997, Teleskop: 25" f/4 Newton, 
Vergrößerung: 100-180 fach, Filter: -, Bedingungen: SQM-L 21.76, Ort: Tivoli Astrofarm, Zeitpunkt: 20.05.2015 22:50 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18343933859" title="NGC2997 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/9/8865/18343933859_ae70522e7f_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18343933579]]

Objekt: NGC 300, Teleskop: 25" f/4 Newton, 
Vergrößerung: 125x, Filter:-, Bedingungen: SQM-L 21.7, Ort: Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[27. Juni 2022|27. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/p89b9yn79u" title="NGC 300"><img src="https://live.staticflickr.com/65535/53085885072_0823d4dcb0_h.jpg" alt="NGC 300"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52696857828/in/photostream/]]

Objekt: NGC 3079, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L  21.92, Ort: Roque de los Muchachos, Zeitpunkt: [[25.03.2017|25. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33115576674/in/datetaken-public/" title="NGC 3079"><img src="https://c1.staticflickr.com/3/2932/33115576674_0ee4a22278_o.jpg" alt="NGC 3079"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33115576664/in/datetaken-public/]]

Objekt: NGC 3132 - Eight Burst, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[23.05.2017|23. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36606480796/in/datetaken-public/" title="NGC 3132"><img src="https://farm5.staticflickr.com/4419/36606480796_409ae7cfea_c.jpg" alt="NGC 3132"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36483712612/in/datetaken-public/]]

Objekt: NGC 3184, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[13.01.2018|13. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40725116201/" title="NGC 3184"><img src="https://farm5.staticflickr.com/4774/40725116201_3fc3cb4f15_c.jpg" alt="NGC 3184"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40725116231/in/photostream/]]

____Objekt: NGC 3195, 25" f/4 Dobson, Vergrößerung: 670x, Filter:- Bedingungen: SQM-L 21.8, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[10.06.2021|10. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Z052gg" title="Untitled"><img src="https://live.staticflickr.com/65535/51367216307_af35644b3c_b.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51265583407/in/photostream/]]

Objekt: NGC 3199, Teleskop: 25" f/4 Newton, Vergrößerung: 180x, Filter:OIII, Bedingungen: SQM-L 21.86, Ort: Tivoli Astrofarm, Zeitpunkt: [[24.05.2017|24. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35287362570/in/datetaken-public/" title="NGC 3199"><img src="https://farm5.staticflickr.com/4233/35287362570_e38231fcae_o.jpg" alt="NGC 3199"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35634651546/in/datetaken-public/]] [[High Resolution|https://www.flickr.com/photos/106029581@N02/34865142143/in/datetaken-public/]]

Objekt: NGC 3211, 25" f/4 Dobson, Vergrößerung: 780x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[14.06.2021|14. Juni 2021 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Z5B5MX" title="NGC 3211"><img src="https://live.staticflickr.com/65535/51809153177_1dafd8d2a2_c.jpg" alt="NGC 3211"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51810429264/in/datetaken/]]

Objekt: NGC 3242 - Jupiter's Geist, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 800x, Filter:-, Bedingungen: SQM-L 21.96, Ort: Roque de los Muchachos, Zeitpunkt: [[24.01.2017|24. Januar 2017 - La Palma]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/32717249251/in/datetaken/" title="NGC 3242"><img src="https://c1.staticflickr.com/3/2132/32717249251_57cff94811_b.jpg" alt="NGC 3242"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32799950556/in/datetaken/]]

Objekt: NGC 3242 - Äußerer Halo von Jupiter's Geist , Teleskop: 25" f/4 Newton, Vergrößerung: 100x, Filter: OIII, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[19.05.2017|19. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35358092675/in/datetaken-public/" title="NGC 3247 - Äußerer Halo"><img src="https://c1.staticflickr.com/5/4259/35358092675_8f631b23a2_o.jpg" alt="NGC 3247 - Äußerer Halo"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35318437146/in/datetaken-public/]]

Objekt: NGC 3242, ''24" f/4.3 Bino-Dobson'', Vergrößerung: 184x, Filter:OIII,  Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[01.06.2019|01. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/115dF2" title="NGC 3242 - Halo"><img src="https://live.staticflickr.com/65535/51180315283_cd55264ef9_c.jpg" alt="NGC 3242 - Halo"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51180091191/in/photostream/]]

__[[Ansicht mit 25" Mono-Dobson|NGC 3242 - Äußerer Halo]]__

__[[Ansicht mit 14" Mono-Dobson|NGC 3242 - Äußerer Halo mit 14 Zoll]]__

Objekt: NGC 3242 - Halo, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter:OIII, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[29.03.2019|29. März 2019 - La Palma]], Seeing 2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47831109892/in/dateposted/" title="NGC 3242"><img src="https://live.staticflickr.com/65535/47831109892_12337977e4_c.jpg" alt="NGC 3242"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47831109912/in/photostream/]]

Objekt: NGC 3247, Teleskop: 25" f/4 Newton, Vergrößerung: 100-280x, Filter: UHC, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[23.05.2017|23. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35499902785/in/datetaken-public/" title="NGC 3247"><img src="https://c1.staticflickr.com/5/4285/35499902785_b4cf0b6a77_o.jpg" alt="NGC 3247"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34658736044/in/datetaken-public/]] [[High Resolution |https://www.flickr.com/photos/106029581@N02/34690183583/in/datetaken-public/]]

Objekt: NGC 3247, Teleskop: 25" f/4 Newton, Vergrößerung: 100-278x, Filter:-, Bedingungen: SQM-L 21.83, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[08.06.2021|08. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Pm2e1YHni1" title="NGC 3247"><img src="https://live.staticflickr.com/65535/52325807947_f053919a2d_c.jpg" alt="NGC 3247"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52327007238/in/photostream/]]

____Objekt: NGC 3293 - Gem-Cluster, 25" f/4 Dobson, Vergrößerung: 100x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[06.06.2021|06. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0Jq6X7" title="NGC 3293"><img src="https://live.staticflickr.com/65535/51733643034_7e97e093f0_h.jpg" alt="NGC 3293"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51733883710/in/photostream/]]

Objekt: NGC 3319, Teleskop: 21" f/3.8 Dobson, Vergrößerung: ca. 164x, Filter:-, Bedingungen: SQM-L 21.8, Ort: [[Stumpertenrod]], Zeitpunkt:  [[09.03.2022|9. März 2022 - Stumpertenrod]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/A9UL0Z" title="NGC 3319"><img src="https://live.staticflickr.com/65535/52107713298_8da17d8771_c.jpg" alt="NGC 3319"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52107925479/in/photostream/]]

Objekt: NGC 3344, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: __148x__, 238x, Filter: -, Bedingungen: SQM-L 21.8, Ort: [[Stumpertenrod]], Zeitpunkt: [[07.03.2022|7. März 2022 - Stumpertenrod]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/33kVJ2" title="NGC 3344"><img src="https://live.staticflickr.com/65535/52040262321_06b6d8fcfc_c.jpg" alt="NGC 3344"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52039219472/in/photostream/]]

Objekt: NGC 3395 & 96, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 168x & __290x__, Filter: -, Bedingungen: SQM-L 21.81, Ort: Lange [[Rhön]], Zeitpunkt: [[03.04.2021|3. April 2021 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ZD4KFJ" title="Arp 270"><img src="https://live.staticflickr.com/65535/51097015835_189b512436_c.jpg" alt="Arp 270"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51096211676/in/photostream/]]

Objekt: NGC 346, Teleskop: 25" f/4 Newton, Vergrößerung: 278x, Filter: OIII, Ort:  Tivoli Astrofarm, Zeitpunkt: [[13.06.2021|13. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/F58BX9" title="NGC 346"><img src="https://live.staticflickr.com/65535/51693288566_c190595cc7_h.jpg" alt="NGC 346"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51694180155/in/photostream/]]

Objekt: NGC 3521, Teleskop: 20" f/3.8 Newton, Vergrößerung: 215x, Filter:-, Ort: [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[08. & 09.12.2023|8. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Uy36U9uUDu" title="NGC 3521"><img src="https://live.staticflickr.com/65535/53600303694_9880638d91_h.jpg" alt="NGC 3521"/></a>

Objekt: NGC 3576, Teleskop: 25" f/4 Newton, 
Vergrößerung: 178x, Filter:-, Bedingungen: SQM-L 21.7, Ort: Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[27. Juni 2022|27. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4v03YMBLr9" title="NGC 3576"><img src="https://live.staticflickr.com/65535/52696874383_1670283781_h.jpg" alt="NGC 3576"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52696648289/in/photostream/]]

Objekt: NGC 3628, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 80x, __114x__, 168x, Filter: -, Bedingungen: SQM-L 21.65 im Löwen, Ort: Lange [[Rhön]], Zeitpunkt: [[03.04.2021|3. April 2021 - Lange Rhön]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/T3426V" title="NGC 3628 - Tidal Tail"><img src="https://live.staticflickr.com/65535/51101418149_a9d9a47a7c_c.jpg" alt="NGC 3628 - Tidal Tail"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51101433967/in/photostream]]

Objekt: NGC 3631, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: 231x, Filter:-, Bedingungen: SQM-L 21.7, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[26.03.2022|26. März 2022 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2931m5" title="NGC 3631"><img src="https://live.staticflickr.com/65535/52087268994_c29b9eb9f2_c.jpg" alt="NGC 3631"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52085891968/in/datetaken/]]

Objekt: NGC 3631, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: __168x__, 290x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Lange [[Rhön]], Zeitpunkt: [[06.03.2021|6. März 2021 - Lange Rhön]], Seeing 2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0250jN" title="NGC 3631"><img src="https://live.staticflickr.com/65535/51032208723_2a5a24a37f_c.jpg" alt="NGC 3631"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51033037787/in/photostream/]]

Objekt: NGC 3699, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.86, Seeing 4, Ort: Tivoli Astrofarm, Zeitpunkt: [[24.05.2017|24. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38160408301/" title="NGC 3699"><img src="https://farm5.staticflickr.com/4502/38160408301_7662055714_c.jpg" alt="NGC 3699"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26383649709/in/photostream/]]

Objekt: NGC 3718, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L  21.96, Ort: Roque de los Muchachos, Zeitpunkt: [[28.03.2017|28. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34044158832/in/datetaken-public/" title="NGC 3718"><img src="https://c1.staticflickr.com/3/2898/34044158832_9877670365_b.jpg" alt="NGC 3718"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34160601296/in/datetaken-public/]]

Objekt: NGC 383 - Gruppe, Arp 318, HCG 16, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 290x, Filter:-, Bedingungen: SQM-L 21.2, Ort: Stumpi, Zeitpunkt: [[04.10.2016|4. Oktober 2016 - Stumpertenrod]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/30204687302/in/datetaken/" title="Arp 318"><img src="https://live.staticflickr.com/5649/30204687302_df5deafdc6_b.jpg" alt="Arp 318"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29690254534/in/datetaken/]]

Objekt: NGC 3918, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[09. & 10.08.2018|9. August 2018 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/81NK96" title="NGC 3918"><img src="https://live.staticflickr.com/65535/49042575468_17f255de15_c.jpg" alt="NGC 3918"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49043292042/in/dateposted/]]

Objekt: NGC 40, Teleskop: 14" f/4.6 Newton, Vergrößerung: 420x, Filter: -, Bedingungen: SQM-L 21.4, Ort: Wasserkuppe, Zeitpunkt: [[03.12.2016|03. Dezember 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31014268963/in/datetaken/" title="NGC 40"><img src="https://c4.staticflickr.com/1/371/31014268963_7ddc8f2778_b.jpg"  alt="NGC 40"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31676611742/in/datetaken/]]

Objekt: NGC 4027 & 4027 A, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290 fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: La Podona, Zeitpunkt: [[02.04.2019|02. April 2019 - La Palma]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32785634767/in/dateposted/" title="NGC 4027"><img src="https://live.staticflickr.com/65535/32785634767_a19bcef6b1_c.jpg" alt="NGC 4027"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32785634757/in/dateposted/]]

Objekt: NGC 4038 & 39 - Antennengalaxien, Teleskop: ''24" f/4.3 Bino-Dobson'', 
Vergrößerung: 85 fach, Filter:-, Bedingungen: SQM-L 22.05, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[02.06.2019|02. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/kC8r9x" title="Antennen"><img src="https://live.staticflickr.com/65535/49090970453_8b2c486e78_c.jpg" alt="Antennen"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49091685012/in/photostream/]]

Objekt: NGC 4038 & 4039, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 & 280 fach, Filter: -, Bedingungen: Bortle 1, 21.76-21.89, Ort: Tivoli Astrofarm, Zeitpunkte: 12., 13., 15., 16. & 22.05.2015

<a href="https://www.flickr.com/photos/106029581@N02/18494184499" title="NGC4038&amp;39 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/516/18494184499_c7276d0bdb_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18492779810]]

Objekt: NGC 4038 & 39, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430 fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: La Podona, Zeitpunkt: [[29.03.2019|29. März 2019 - La Palma]], Seeing 1+

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/zT0rf2" title="NGC 4038 &amp; 39"><img src="https://live.staticflickr.com/65535/46798468635_e9470e5ccd_c.jpg" alt="NGC 4038 &amp; 39"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46798468555/in/dateposted/]]

Objekt: NGC 404 - Mirach's Geist, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Llanos de las Animas, Zeitpunkt: [[20.01.2018|20. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41041757894/in/datetaken-public/" title="NGC 404"><img src="https://farm1.staticflickr.com/980/41041757894_9f24065f90_c.jpg" alt="NGC 404"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26891536857/in/datetaken-public/]]

____Objekt: NGC 4071, 25" f/4 Dobson, Vergrößerung: 454x, Filter: UHC, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[04.06.2021|04. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1YeuG5" title="NGC 4071"><img src="https://live.staticflickr.com/65535/51410801660_31ef162bac_b.jpg" alt="NGC 4071"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51409075472/in/photostream/]]

Objekt: NGC 4216, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168x, Filter:-, Bedingungen: SQM-L 21.72, Ort: Trocha del Reventon, Zeitpunkt: 08.04. & 09.04.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/26760689930/in/datetaken/" title="NGC 421623"><img src="https://farm8.staticflickr.com/7753/26760689930_1402b5627b_o.jpg" alt="NGC 421623"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27033719875/in/datetaken/]]

Objekt: NGC 4236, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, 114x & __178x__, Filter: -, Bedingungen: SQM-L 21.8, Ort: Lange [[Rhön]], Zeitpunkt: [[11.04.2020|11. April 2020 - Ostersamstag]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Ln095B" title="NGC 4236"><img src="https://live.staticflickr.com/65535/49770461691_de742f7a28_c.jpg" alt="NGC 4236"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49770786377/in/photostream/]]

Objekt: NGC 4244, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168x, Filter:-, Bedingungen: SQM-L 21.72, Ort: Trocha del Reventon, Zeitpunkt: 08.04.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26720487334/" title="NGC 4244 6"><img src="https://c7.staticflickr.com/8/7560/26720487334_ce5b0b51ba_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27052736990/in/datetaken/]]

Objekt: NGC 4244, Teleskop: 21" f/3.8, Vergrößerung: 231x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[14. Februar 2023|14. Februar 2023 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/M4DP51229H" title="NGC 4244"><img src="https://live.staticflickr.com/65535/52772357211_abbab6615b_h.jpg" alt="NGC 4244"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52772615584/in/photostream/]]

____Objekt: NGC 4391, 25" f/4 Dobson, Vergrößerung: 454x, Filter:- Bedingungen: SQM-L 21.8, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[12.06.2021|12. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/A2K56M" title="NGC 4361"><img src="https://live.staticflickr.com/65535/51363146851_cb43bd5361_b.jpg" alt="NGC 4361"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51265583407/in/photostream/]]

Objekt: NGC 4449, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 178x & __290x__ Filter: -, Bedingungen: SQM-L 21.8, Ort: Lange [[Rhön]], Zeitpunkt: [[19.04.2020|19. April 2020 - Thüringer Hütte]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/E43Nyg" title="NGC 4449 8"><img src="https://live.staticflickr.com/65535/49845375148_33e97195ec_c.jpg" alt="NGC 4449 8"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49846217377/in/datetaken/]]

Objekt: NGC 4485 & 90, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, 168x, 290x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[16.06.2023|16. Juni 2023 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/614729351r" title="NGC 4485 &amp; 90 - Kokon Galaxie"><img src="https://live.staticflickr.com/65535/53019037857_4b94bd79ea_h.jpg" alt="NGC 4485 &amp; 90 - Kokon Galaxie"/></a>

Objekt: NGC 454 , Teleskop: 25" f/4 Dobson, 
Vergrößerung: 454 & 670 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[7.06.2019|07. Juni 2019 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9Kd449" title="NGC 454"><img src="https://live.staticflickr.com/65535/48836393766_72a7cbe7dd_c.jpg" alt="NGC 454"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48836393781/in/photostream]]

Objekt: NGC 4556, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168 & 290x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Lange Rhön, Zeitpunkt: 08.05.2016

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/27480613922/in/datetaken/" title="NGC 4559"><img src="https://c3.staticflickr.com/8/7414/27480613922_65e6dec74d_o.jpg" alt="NGC 4559"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26865076153/in/datetaken/]]

Objekt: NGC 4565, Teleskop: 25" f/4 Newton, 
Vergrößerung: 178x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[29.06.2022|29. Juni 2022 - Tivoli Astrofarm]], Seeing 1+

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/67kMaD558q" title="NGC 4565"><img src="https://live.staticflickr.com/65535/52695988514_1fdf8ebd68_h.jpg" alt="NGC 4565"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52694206694/in/photostream/]]

Objekt: NGC 4567 & 68, Teleskop: 21" f/3.8 Dobson, Vergrößerung: ca. __231x__ & 371x, Filter:-, Bedingungen: SQM-L 21.8, Ort: [[Stumpertenrod]], Zeitpunkt:  [[09.03.2022|9. März 2022 - Stumpertenrod]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/893941" title="NGC 4567/68"><img src="https://live.staticflickr.com/65535/52043077661_e886bd157d_c.jpg" alt="NGC 4567/68"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52043587465/in/photostream/]]

Objekt: NGC 4631 & 27, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: 231x, Filter:-, Bedingungen: SQM-L 21.7, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[27.03.2022|27. März 2022 - Lange Rhön]], Seeing 1+

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/19D47Y" title="NGC 4631/27"><img src="https://live.staticflickr.com/65535/52023693626_20d23335ec_c.jpg" alt="NGC 4631/27"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49612697431/in/photostream/]]

Objekt: NGC 4631, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L  21.96, Ort: Roque de los Muchachos, Norden ist links, Zeitpunkt: [[28.03.2017|28. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33845335896/" title="Untitled"><img src="https://c1.staticflickr.com/4/3864/33845335896_b615283607_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33042669794/in/datetaken-public/]]

Objekt: NGC 4650A, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 & 280 fach, Filter: -, Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkt: 22.05.2015 01:55 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18641305942" title="NGC4650A by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/417/18641305942_52ee090092_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18023301074]]

Objekt: NGC 4656, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: 380x, Filter:-, Bedingungen: SQM-L 21.7, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[27.03.2022|27. März 2022 - Lange Rhön]], Seeing 1+

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/4342KA" title="NGC 4656"><img src="https://live.staticflickr.com/65535/52040294136_03c6f0cc87_c.jpg" alt="NGC 4656"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52039251792/in/photostream/]]

Objekt: NGC 4656, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 & 280 fach, Filter: -, Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkte: 15.05.2015 22:35 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/19019237325" title="NGC4656 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/468/19019237325_3cd8e7bdc5_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/19022394981]]

Objekt: NGC 4676 A & B - "Die Mäuse", Teleskop: 14" f/4.6 Newton, Vergrößerung: 114, Filter: -, Bedingungen: SQM-L 21.65, Seeing: Perfekt!, Ort: Rhön, Zeitpunkt: 19.04.2015 03:05

<a href="https://www.flickr.com/photos/106029581@N02/17214868195" title="NGC4676 by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7631/17214868195_275d7d51ef_z.jpg"  alt="NGC4676"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/17188926186]]

Objekt: NGC 4676 A &  B, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 & 280 fach, Filter: -, Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkte: 16.05.2015 21:30 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18953666046" title="NGC4676A&amp;B by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/437/18953666046_d80e345f06_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18793708559]]

Objekt: NGC 4710, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290 fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: La Podona, Zeitpunkt: [[02.04.2019|02. April 2019 - La Palma]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/v10c5i" title="NGC 4710"><img src="https://live.staticflickr.com/65535/47093241134_77def53a7c_c.jpg" alt="NGC 4710"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47830575792/in/photostream/]]

Objekt: NGC 4725, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168 & 290x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Trocha del Reventon & Lange Rhön, Zeitpunkt: 10.04. & 04.05.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/27472404405/in/datetaken/" title="NGC 4725 3"><img src="https://c6.staticflickr.com/8/7506/27472404405_2f368f2c74_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27423609226/in/datetaken/]]

Objekt: NGC 4933, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[06.04.2019|06. April 2019 - La Palma]], Seeing 1

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40934587623/in/dateposted/" title="NGC 4933"><img src="https://live.staticflickr.com/65535/40934587623_34639ef4e0_c.jpg" alt="NGC 4933"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40934587493/in/photostream/]]

Objekt: NGC 4945, 25" Dobson, Vergrößerung: 454x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[06.08.2018|6. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/274ofK" title="NGC 4945"><img src="https://live.staticflickr.com/65535/51222120992_26da74217a_c.jpg" alt="NGC 4945"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51222060177/in/photostream/]]

Objekt: NGC 5101, Teleskop: 25" f/4 Newton, 
Vergrößerung: 180 & 280 fach, Filter: -, Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkte: 22. & 23.05.2015

<a href="https://www.flickr.com/photos/106029581@N02/19174206006" title="NGC5101 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/387/19174206006_8b4303f76f_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18577812024]]

Objekt: NGC 5128 - Centaurus A, Teleskop: 25" f/4 Newton, Vergrößerung: 100-280x, Filter:-, Bedingungen: SQM-L 21.86, Ort: Tivoli Astrofarm, Zeitpunkt: [[20.05.2017|20. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35524855325/in/datetaken-public/" title="NGC 5128 - Centaurus A"><img src="https://c1.staticflickr.com/5/4277/35524855325_a0598dd123_o.jpg" alt="NGC 5128 - Centaurus A"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35357520452/in/datetaken-public/]] [[High Resolution |https://www.flickr.com/photos/106029581@N02/34683479264/in/datetaken-public/]]

Objekt: NGC 5170, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290 fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: La Podona, Zeitpunkt: [[02.04.2019|02. April 2019 - La Palma]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/06N36S" title="NGC 5170"><img src="https://live.staticflickr.com/65535/32931723307_40172d3e7d_c.jpg" alt="NGC 5170"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47875956501/in/photostream/]]

Objekt: NGC 5189, Teleskop: 25" f/4 Newton, 
Vergrößerung: 280 fach, Filter: - , Bedingungen: Bortle 1, Ort: Tivoli Astrofarm, Zeitpunkt: 16.05.2015 01:45 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/18984887631" title="NGC5189 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/328/18984887631_7924fa1b03_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/18361223393]]

Objekt: NGC 5189, ''24" f/4.3 Bino-Dobson'', Vergrößerung: 218x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[01.06.2019|01. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/XC5i08" title="NGC 5189"><img src="https://live.staticflickr.com/65535/51134991945_b8f69c3bdc_c.jpg" alt="NGC 5189"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51134653124/in/photostream/]]

__[[Hier geht es|NGC 5189]]__ zur Ansicht mit 25" Mono-Dobson.

Objekt: NGC 5247, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290 fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: La Podona, Zeitpunkt: [[02.04.2019|02. April 2019 - La Palma]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47769001781/in/dateposted-public/" title="NGC 5247"><img src="https://live.staticflickr.com/65535/47769001781_7a106cba38_c.jpg" alt="NGC 5247"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47716584772/in/dateposted-public/]]

Objekt: NGC 4449, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 178x & __290x__ Filter: -, Bedingungen: SQM-L 21.8, Ort: Lange [[Rhön]], Zeitpunkt: [[25.04.2020|25. April 2020 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/R4476g" title="NGC 5248"><img src="https://live.staticflickr.com/65535/49874768757_80045e3bd6_c.jpg" alt="NGC 5248"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49874459266/in/photostream/]]

Objekt: NGC 5307, Teleskop: 25" f/4 Newton, Vergrößerung: 670-1200x, Filter:-, Bedingungen: SQM-L 21.73, Ort: Tivoli Astrofarm, Zeitpunkt: [[31.05.2017|31. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/23949303977/" title="NGC 5307"><img src="https://farm5.staticflickr.com/4581/23949303977_3e83df1046_c.jpg" alt="NGC 5307"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/38813756101/in/photostream/]]

Objekt: NGC 5315, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[03.06.2019|03. Juni 2019 - Tivoli Astrofarm]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/h44i13" title="NGC 5315"><img src="https://live.staticflickr.com/65535/48928859211_ccdd7492d8_c.jpg" alt="NGC 5315"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48928320618/in/photostream/]]

Objekt: NGC 5394 & 95, Teleskop: 21" f/3.8 Newton, 
Vergrößerung: __148x__, 238x, Filter: -, Bedingungen: SQM-L 21.8, Ort: [[Stumpertenrod]], Zeitpunkt: [[09.03.2022|9. März 2022 - Stumpertenrod]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/657646" title="Arp 84"><img src="https://live.staticflickr.com/65535/51949477386_25b1e9a520_c.jpg" alt="Arp 84"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51949290603/in/photostream/]]

Objekt: NGC 5408, Teleskop: 25" f/4 Newton, 
Vergrößerung: 454x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[26. & 27.05.2019|27. Mai 2019 - Tivoli Astrofarm]], Seeing 2-3

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48657285148/in/dateposted/" title="Ngc 5408"><img src="https://live.staticflickr.com/65535/48657285148_d64edacdae_c.jpg" alt="Ngc 5408"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48502933792/in/photostream/]]

Objekt: NGC 55, Teleskop: 25" f/4 Newton, Vergrößerung: 125x & 178x, Filter:-, Ort:  [[Tivoli Astrofarm]], Zeitpunkt: [[08.06.2021|08. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/jq1148eqZK" title="NGC 55"><img src="https://live.staticflickr.com/65535/53359149137_acb945dfba_h.jpg" alt="NGC 55"/></a>

____Objekt: NGC 5643, 25" f/4 Dobson, Vergrößerung: 100x, __278x__, 454x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[12. & 13.06.2021|12. Juni 2021 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/59J7S8" title="NGC 6543"><img src="https://live.staticflickr.com/65535/51528226043_363d36d8e6_b.jpg" alt="NGC 6543"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51528904560/in/photostream/]]

Objekt: NGC 5746, Teleskop: 25" f/4 Newton, 
Vergrößerung: 454x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[02.07.2022|02. Juli 2022 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/aCF5Mn1aS5" title="NGC 5746"><img src="https://live.staticflickr.com/65535/52565086502_f57742d3c1_c.jpg" alt="NGC 5746"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52565553571/in/photostream/]]

Objekt: NGC 5844, 25" f/4 Dobson, Vergrößerung: 670x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[12.06.2021|12. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/5364ft" title="NGC 5844"><img src="https://live.staticflickr.com/65535/51794696934_ff6bdeff14_c.jpg" alt="NGC 5844"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51794450943/in/datetaken/]]

Objekt: NGC 5873, 25" f/4 Dobson, Vergrößerung: 1200x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[29.05.2019|29. Mai 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3hhbLC" title="NGC 5873"><img src="https://live.staticflickr.com/65535/51734991181_dab95634a3_c.jpg" alt="NGC 5873"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51734991191/in/photostream/]]

Objekt: NGC 5882, Teleskop: 25" f/4 Newton, 
Vergrößerung: 660x, Filter: -, Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[10. & 14.08.2018|10. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46980856774/in/dateposted-public/" title="NGC 5882"><img src="https://live.staticflickr.com/65535/46980856774_6ca12d7053_c.jpg"  alt="NGC 5882"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47717622962/in/dateposted-public/]]

Objekt: NGC 6579, 25" f/4 Dobson, Vergrößerung: 670x, Filter:- Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[14.08.2018|14. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/oc92iK" title="NGC 5979"><img src="https://live.staticflickr.com/65535/51270205115_50a90494b2_c.jpg" alt="NGC 5979"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51265583407/in/photostream/]]

Objekt: NGC 5981/2/5 - Draco Triplet, Teleskop: 21" f/3.8, Vergrößerung: 231x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[10. September 2023|10. September 2023 - Lange Rhön]], Seeing 2-3, SQM-L 21.3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/wSoeX8R4ku" title="Draco Triplet"><img src="https://live.staticflickr.com/65535/53218809891_71d3609316_h.jpg" alt="Draco Triplet"/></a>

____Objekt: NGC 6026, 25" f/4 Dobson, Vergrößerung: 670x, Filter:- Bedingungen: SQM-L 21.8, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[04. & 06.06.2021|04. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9454Qk" title="NGC 6026"><img src="https://live.staticflickr.com/65535/51486519721_fe7052857f_b.jpg" alt="NGC 6026"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51487449335/in/photostream/]]

Objekt: NGC 604, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 900x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[01.01.2019|01. Januar 2019 - Muela de San Juan]], Seeing 1

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/v2Hw31" title="NGC 604"><img src="https://farm5.staticflickr.com/4860/33519633398_8d8b1c7ab3_c.jpg" alt="NGC 604"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46672407574/in/photostream/]]

Objekt: NGC 6058, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.6, Ort: Wasserkuppe, Zeitpunkt: [[07.05.2018|7. Mai 2018 - Wasserkuppe]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41659337354/in/dateposted-public/" title="NGC 6058"><img src="https://farm1.staticflickr.com/873/41659337354_218f11eca4_c.jpg" alt="NGC 6058"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41659337434/in/dateposted-public/]]

Objekt: NGC 6072, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.9, Ort: Tivoli Astrofarm, Zeitpunkt: [[22.05.2017|22. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37965606156/" title="NGC 6072"><img src="https://farm5.staticflickr.com/4462/37965606156_77ac09db58_c.jpg" alt="NGC 6072"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/38018969151/in/photostream/]]

Objekt: NGC 613, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[22.01.2017|22. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33375823505/in/photostream/" title="NGC 613"><img src="https://c1.staticflickr.com/3/2928/33375823505_40a38cd564_o.jpg" alt="NGC 613"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33335374436/in/photostream/]]

Objekt: NGC 6131, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 290x , Filter:-, Bedingungen: SQM-L 21.65, Ort: PDA, Zeitpunkt: 02.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29050365971/in/datetaken/" title="Untitled"><img src="https://c4.staticflickr.com/9/8525/29050365971_d80df06fe7_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29050364651/in/datetaken/]]

Objekt: NGC 6140, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 168x, Filter:-, Bedingungen: SQM-L 21.78, Ort: PDA, Zeitpunkt: 01.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29103475745/in/datetaken/" title="NGC 6140"><img src="https://c2.staticflickr.com/9/8314/29103475745_b485c0256f_o.jpg" alt="NGC 6140"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28998514652/in/datetaken/]]

Objekt: NGC 6153, 25" f/4 Dobson, Vergrößerung: 670x, Filter:- Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[11.08.2018|11. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ntR7h4" title="NGC 6153"><img src="https://live.staticflickr.com/65535/51259209087_6d5cb64725_c.jpg"  alt="NGC 6153"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51261033445/in/photostream/]]

Objekt: NGC 6164 & 6165, Teleskop: 25" f/4 Newton, 
Vergrößerung: 100-180 fach, Filter: -, Bedingungen: SQM-L 21.89, Ort: Tivoli Astrofarm, Zeitpunkt: 22.05.2015 03:20 Uhr

<a href="https://www.flickr.com/photos/106029581@N02/17893226074" title="NGC6164&amp;6165 by Olivito Astro, on Flickr"><img src="https://c1.staticflickr.com/1/330/17893226074_e2b7e035ba_z.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/17893237664]]

Objekt: NGC 6164 & 65, Teleskop: 25" f/4 Newton, 
Vergrößerung: 278x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[30.06.2022|30. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3A475JsF75" title="NGC 6164/65"><img src="https://live.staticflickr.com/65535/52597613507_0691c945e8_h.jpg" alt="NGC 6164/65"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52508235431/in/photostream/]]

Objekt: NGC 6210, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430 & 800x, Filter:OIII, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[10.07.2018|10. Juli 2018 - Pinar de Araceli]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43767826881/" title="NGC 6210"><img src="https://farm1.staticflickr.com/938/43767826881_f58e4567a5_c.jpg" alt="NGC 6210"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43767826891/in/photostream/]]

Objekt: NGC 6210, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.91, Ort: Tivoli Astrofarm, Zeitpunkt: [[11.08.2018|11. August 2018 - Tivoli Astrofarm]], Seeing 1

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/42744974280/in/dateposted-public/" title="NGC 6210"><img src="https://farm2.staticflickr.com/1842/42744974280_98b7d39654_c.jpg" alt="NGC 6210"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43644279505/in/dateposted-public/]]

Objekt: NGC 6215, Teleskop: 25" f/4 Newton, Vergrößerung:-, Filter:-, Bedingungen: SQM-L 21.9, Ort:  Tivoli Astrofarm, Zeitpunkt: [[27.05.2017|27. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42460761364/" title="NGC 6215"><img src="https://farm2.staticflickr.com/1762/42460761364_e33c0811ac_c.jpg" alt="NGC 6215"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/42460761374/in/photostream/]]

Objekt: NGC 6221, Teleskop: 25" f/4 Newton, Vergrößerung:-, Filter:-, Bedingungen: SQM-L 21.9, Ort:  Tivoli Astrofarm, Zeitpunkt: [[27.05.2017|27. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25259381838/" title="NGC 6221"><img src="https://farm5.staticflickr.com/4591/25259381838_f437a42392_c.jpg" alt="NGC 6221"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/25259382258/]]

Objekt: NGC 6300 , Teleskop: 25" f/4 Dobson, 
Vergrößerung: 278, __454__ & 670 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[07.06.2019|07. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1M0147" title="NGC 6300"><img src="https://live.staticflickr.com/65535/48860688896_23181e0a19_c.jpg" alt="NGC 6300"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48860688906/in/photostream/]]

Objekt: NGC 6302, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.68, Ort: Tivoli Astrofarm, Zeitpunkt: [[04.08.2018|4. August 2018 - Tivoli Astrofarm]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/5ET5c0" title="NGC 6302"><img src="https://farm2.staticflickr.com/1892/44810668062_07979ce1e8_c.jpg" alt="NGC 6302"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/44810668122/in/dateposted-public/]]

Objekt: NGC 6309, Teleskop: 25" f/4 Newton, Vergrößerung: 720x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[09.06.2021|09. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/t572LQ" title="NGC 6309"><img src="https://live.staticflickr.com/65535/51791096742_0bb9ac99a4_c.jpg"  alt="NGC 6309"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51792158343/in/datetaken/]]

Objekt: NGC 6309 - Box Nebel, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800 fach, Filter:-, Bedingungen: SQM-L 21.83, Ort: Pinar de Araceli, Zeitpunkt: [[21.07.2017|21. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/36440465076/in/datetaken-public/" title="NGC 6309"><img src="https://farm5.staticflickr.com/4426/36440465076_fe461697e1_c.jpg" alt="NGC 6309"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35651214824/in/datetaken-public/]]

Objekt: NGC 6326, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.9, Ort:  Tivoli Astrofarm, Zeitpunkt: [[27.05.2017|27. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26383162499/" title="NGC 6326"><img src="https://farm5.staticflickr.com/4520/26383162499_0a8d732af2_c.jpg" alt="NGC 6326"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26383162479/in/photostream/]]

Objekt: NGC 6337, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.9, Ort:  Tivoli Astrofarm, Zeitpunkt: [[27.05.2017|27. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/36253890381/in/datetaken-public/" title="NGC 6337"><img src="https://farm5.staticflickr.com/4355/36253890381_d50c904abe_b.jpg" alt="NGC 6337"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35582763503/in/datetaken-public/]] [[High Resolution|https://www.flickr.com/photos/106029581@N02/36345867846/in/datetaken-public/]]

Objekt: NGC 6369, Teleskop: 14" f/4.6 Newton, Vergrößerung: 430 fach, Filter: OIII, Bedingungen: SQM-L 21.7, Ort: Pinar de Araceli, Zeitpunkt: [[19.07.2017|19. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/35884003863/in/datetaken-public/" title="NGC 6369"><img src="https://farm5.staticflickr.com/4348/35884003863_826b1db5bf_c.jpg"  alt="NGC 6369"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36647358406/in/datetaken-public/]]

Objekt: NGC 6884, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[10.07.2018|10. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43718385932/" title="NGC 6439"><img src="https://farm1.staticflickr.com/857/43718385932_5a87e22b19_c.jpg" alt="NGC 6439"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43718386052/in/photostream/]]

Objekt: NGC 6445, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.8, Ort:  Tivoli Astrofarm, Zeitpunkt: [[30.05.2017|30. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38232378015/" title="NGC 6445"><img src="https://farm5.staticflickr.com/4642/38232378015_d15b70a832_c.jpg"  alt="NGC 6445"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/27336390449/in/photostream/]]

Objekt: NGC 6537, Teleskop: 25" f/4 Newton, Vergrößerung: 670 & 1000 fach, Filter: OIII, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[29.05.2017|29. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/39229337712/" title="NGC 6537"><img src="https://farm5.staticflickr.com/4731/39229337712_e4aa1bc6a1_c.jpg" alt="NGC 6537"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24395620207/]]

Objekt: NGC 6543 & IC 4677, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: __164x__ & 621x & 1200x, Filter:- & __OIII__, Bedingungen: SQM-L 21.9, Ort: [[Athos Star Campus]], Zeitpunkt: [[20.09.2020|20. September 2020 - La Palma]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/f088nf" title="NGC 6543 &amp; IC 4677"><img src="https://live.staticflickr.com/65535/50560029922_602f2fbef6_c.jpg" alt="NGC 6543 &amp; IC 4677"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50559908596/in/photostream/]]

Objekt: NGC 6543, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114-1200 fach, Filter: [OIII] , Bedingungen: Bortle 3, Ort: Bonilla, Zeitpunkt: 15.08.2015 Uhr

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/21250006856/in/datetaken/" title="NGC 6543"><img src="https://farm1.staticflickr.com/767/21250006856_f2f1827afe_b.jpg" alt="NGC 6543"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/21284344941/in/datetaken/]]

Objekt: NGC 6567, Teleskop: 25" f/4 Newton, 
Vergrößerung: 900x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[26.06.2022|26. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/23W9wZ7F4v" title="NGC 6567"><img src="https://live.staticflickr.com/65535/52283197107_457615d864_c.jpg" alt="NGC 6567"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52249295005/in/photostream/]]

Objekt: NGC 6572, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[08.06.2019|08. Juni 2019 - Tivoli Astrofarm]], Seeing 1-1+

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/f8Ntfj" title="NGC 6572"><img src="https://live.staticflickr.com/65535/48706408621_93e881c568_c.jpg" alt="NGC 6572"></a>
 

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48706578702/in/photostream/]]

Objekt: NGC 6572, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430 & 1000x, Filter:OIII, Bedingungen: SQM-L 21.9, Ort: Pinar de Araceli, Zeitpunkt: [[11.07.2018|11. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28820543167/" title="NGC 6572"><img src="https://farm1.staticflickr.com/940/28820543167_e49a3e2db6_c.jpg" alt="NGC 6572"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28820543137/]]

Objekt: NGC 6578, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[14.06.2023|14. Juni 2023 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/65qL7276g5" title="NGC 6578"><img src="https://live.staticflickr.com/65535/52998281311_f622d74fb0_h.jpg" alt="NGC 6578"/></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/53006672213/in/dateposted/]]

____Objekt: IC 1283 & 84, 25" f/4 Dobson, Vergrößerung: 100x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[06.06.2021|06. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0rK34R" title="Untitled"><img src="https://live.staticflickr.com/65535/52125005257_6763bb9288_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52125005087/in/photostream/]]

Objekt: NGC 660, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65-290x, Filter: -, Bedingungen: SQM-L 21.82, Ort: Nablanca, Zeitpunkt: [[26.12.2016|26. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31372153983/in/datetaken/" title="Untitled"><img src="https://c8.staticflickr.com/1/610/31372153983_c97bc7c5a9_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31807473160/in/datetaken/]]

Objekt: NGC 6623, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 & 290x , Filter:-, Bedingungen: SQM-L 21.8, Ort: PDA, Zeitpunkt: 06.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29137034955/in/datetaken/" title="Untitled"><img src="https://c4.staticflickr.com/9/8388/29137034955_cdecc63099_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29059959921/in/datetaken/]]

Objekt: NGC 6629, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[16.06.2023|16. Juni 2023 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Y242M5Q2gz" title="NGC 6629"><img src="https://live.staticflickr.com/65535/53035401596_57282f74b1_h.jpg" alt="NGC 6629"/></a>

Objekt: NGC 6644, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[16.06.2023|16. Juni 2023 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/qD8802d592" title="NGC 6644-"><img src="https://live.staticflickr.com/65535/53020185636_88eef2266b_h.jpg" alt="NGC 6644-"/></a>

Objekt: NGC 6717=Palomar 9, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[06.06.2019|06. Juni 2019 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48700421817/in/dateposted-public/" title="Untitled"><img src="https://live.staticflickr.com/65535/48700421817_3f6cfb6a22_c.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48700250356/in/dateposted-public/]]

Objekt: NGC 6741, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Pinar de Araceli, Zeitpunkt: [[12.07.2018|12. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43050570594/in/photostream/" title="NGC 6741"><img src="https://farm2.staticflickr.com/1777/43050570594_de07086e30_c.jpg" alt="NGC 6741"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43050570584/in/photostream/]]

Objekt: NGC 6742, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter:OIII, Bedingungen: SQM-L 21.45, Ort: Wasserkuppe, Zeitpunkt: [[13.10.2018|13. Oktober 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/45511498971/in/dateposted-public/" title="NGC 4762"><img src="https://farm2.staticflickr.com/1923/45511498971_69710595a8_c.jpg" alt="NGC 4762"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/45511498961/in/dateposted-public/]]

Objekt: NGC 6744, Teleskop: 25" f/4 Newton, Vergrößerung: 278x, Filter:-, Ort:  [[Tivoli Astrofarm]], Zeitpunkt: [[08.06.2021|08. Juni 2021 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/RR60wo" title="NGC 4766"><img src="https://live.staticflickr.com/65535/52129296818_f81966655e_h.jpg" alt="NGC 4766"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51694180155/in/photostream/]]

Objekt: NGC 6745, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter:OIII, Bedingungen: SQM-L 21.45, Ort: Wasserkuppe, Zeitpunkt: [[13.10.2018|13. Oktober 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31639175798/in/dateposted-public/" title="NGC 6745"><img src="https://farm2.staticflickr.com/1928/31639175798_77128313fd_c.jpg" alt="NGC 6745"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31639175788/in/dateposted-public/]]

Objekt: NGC 6751, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Pinar de Araceli, Zeitpunkt: [[12.07.2018|12. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41958009250/" title="NGC 6751"><img src="https://farm2.staticflickr.com/1815/41958009250_a689042061_c.jpg" alt="NGC 6751"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41958009460/in/photostream/]]

Objekt: NGC 6764, Teleskop: 21" f/3.8, Vergrößerung: 378x & __562x__, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[15. September 2023|15. September 2023 - Lange Rhön]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ZgF3153g9a" title="NGC 6764"><img src="https://live.staticflickr.com/65535/53437660163_2c011d272b_h.jpg" alt="NGC 6764"/></a>

Objekt: NGC 6769/79/71 - Teufelsmaske, 25" Dobson, Vergrößerung: 454x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[28.05.2019|28. Mai 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/G6457s" title="Teufelsmaske"><img src="https://live.staticflickr.com/65535/51192776564_8f4369472e_c.jpg" alt="Teufelsmaske"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51192002536/in/photostream/]]

Objekt: NGC 6772, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[10.07.2018|10. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42837420195/" title="NGC 6772"><img src="https://farm1.staticflickr.com/930/42837420195_edac4843cf_c.jpg" alt="NGC 6772"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43025739064/in/photostream/]]

Objekt: NGC 6778=6785, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800x, Filter:-, Bedingungen: SQM-L 21.9, Ort: Pinar de Araceli, Zeitpunkt: [[11.07.2018|11. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29788316218/" title="NGC 6778"><img src="https://farm1.staticflickr.com/923/29788316218_f4600bbe5a_c.jpg" alt="NGC 6778"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29788316118/]]

Objekt: NGC 6781, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430 fach, Filter: [OIII] , Bedingungen: Bortle 4, Ort: Bonilla, Zeitpunkt: 11.08.2015 23:35 - 3:30 Uhr

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/20569677344/in/datetaken/" title="ngc6781"><img src="https://farm1.staticflickr.com/724/20569677344_da8a537324_b.jpg"  alt="ngc6781"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/21192357845/in/datetaken/]]

Objekt: NGC 6131, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 420x , Filter:-, Bedingungen: SQM-L 21.65, Ort: PDA, Zeitpunkt: 31.07.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29129143195/in/datetaken/" title="Untitled"><img src="https://c4.staticflickr.com/9/8075/29129143195_56f627dd47_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28510315273/in/datetaken/]]

Objekt: NGC 6803, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670 & 1200x, Filter: -, Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[8.08.2018|8. August 2018 - Tivoli Astrofarm]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/457433" title="NGC 6803"><img src="https://live.staticflickr.com/65535/49188126241_2f5da1e519_c.jpg" alt="NGC 6803"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49187629173/in/datetaken/]]

Objekt: NGC 6804, Teleskop: 14" f/4.6 Newton, Vergrößerung: 320 fach, Filter: -, Bedingungen: Bortle 1-2, Ort: PDA, Zeitpunkt: 20.08.2015 Uhr

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/20997382808/in/datetaken/" title="NGC 6804"><img src="https://farm6.staticflickr.com/5690/20997382808_deaab50f56_o.jpg" alt="NGC 6804"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/20997382488/in/datetaken/]]

Objekt: NGC 6804, Teleskop: 25" f/4 Newton, 
Vergrößerung: 454x, Filter:-, Bedingungen: SQM-L 21.86, Ort: Tivoli Astrofarm, Zeitpunkt: [[05.08.2018|5. August 2018 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/gp/106029581@N02/0f5p4t" title="NGC 6804"><img src="https://farm2.staticflickr.com/1900/44138262144_7a8eb48d86_c.jpg" alt="NGC 6804"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29922666617/in/dateposted-public/]]

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im August in Spanien gezeichnet habe:

<div class="tc-link-info">

<$list filter="[tag[Spanien Sommer 2015]] +[!sort[created]]">

<div class="tc-link-info-item">

!<$link><$view field="title"/></$link>

<div class="tc-subtitle">Posted <$view field="createdAt" format="relativedate"/></div>

<$transclude/>

</div>

</$list>

Objekt: NGC 6818, Teleskop: 25" f/4 Newton, Vergrößerung: 670 fach, Filter:-, Bedingungen: SQM-L 21.8, Ort:  Tivoli Astrofarm, Zeitpunkt: [[28.05.2017|28. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/37344043581/in/datetaken-public/" title="NGC 6818"><img src="https://farm5.staticflickr.com/4405/37344043581_6325c3aa93_c.jpg" alt="NGC 6818"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36674686383/in/datetaken-public/]]

Objekt: NGC 6818, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65-800x, Filter:-, Bedingungen: SQM-L 21.73, Ort: PDA, Zeitpunkt: [[05.08.2016|5. August 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29114322213/in/datetaken/" title="Untitled"><img src="https://c6.staticflickr.com/9/8693/29114322213_902a577569_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28388523133/in/datetaken/]]

Objekt: NGC 6822, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.78, Ort: PDA, Zeitpunkt:  01.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28951342691/in/datetaken/" title="Untitled"><img src="https://c4.staticflickr.com/9/8286/28951342691_caf4bdcd79_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28951342721/in/datetaken/]]

Objekt: NGC 6826, Teleskop: 21" f/3.8, Vergrößerung: 560x & 950x, 148x für äußeren Halo mit [OIII], Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[14.09. & 15.10.2023|14. September 2023 - Lange Rhön]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1T903125k5" title="NGC 6826"><img src="https://live.staticflickr.com/65535/53281689789_d0a10d7b0c_h.jpg" alt="NGC 6826"/></a>

Objekt: NGC 6842, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter:-, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[21.06.2023|21. Juni 2023 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2w074w9Vkd" title="NGC 6842"><img src="https://live.staticflickr.com/65535/53020050495_06733c20f8_h.jpg" alt="NGC 6842"/></a>

Objekt: NGC 6852, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter:-, Bedingungen: SQM-L 21.6, Ort: Pinar de Araceli, Zeitpunkt: [[12.07.2018|12. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43092439444/" title="NGC 6852"><img src="https://farm1.staticflickr.com/941/43092439444_5d1c623acd_c.jpg" alt="NGC 6852"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41999740420/in/photostream/]]

Objekt: NGC 6857, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: UHC, Bedingungen: SQM-L 21.45, Ort: Lange Rhön, Zeitpunkt: 24.09.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29931857822/in/datetaken/" title="NGC 6857"><img src="https://c7.staticflickr.com/9/8621/29931857822_307b828bba_o.jpg" alt="NGC 6857"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/30011636406/in/datetaken/]]

Objekt: NGC 6884, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[10.07.2018|10. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29802965988/" title="NGC 6884"><img src="https://farm1.staticflickr.com/936/29802965988_c6f014d670_c.jpg" alt="NGC 6884"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41864809360/in/photostream/]]

Objekt: NGC 6886, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.7, Ort: St. Cristobal, Zeitpunkt: [[16.07.2018|16. Juli 2018 - Alto Tajo]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28879493497/" title="NGC 6886"><img src="https://farm1.staticflickr.com/940/28879493497_0f08975dc7_c.jpg" alt="NGC 6886"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28879493507/in/photostream/]]

Objekt: NGC 6888, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65-114 fach, Filter: [OIII] & [UHC] , Bedingungen: Bortle 3, Ort: Wasserkuppe, Zeitpunkt: 12.10.2015

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/22082907990/in/datetaken/" title="NGC6888"><img src="https://farm6.staticflickr.com/5722/22082907990_1b3f8e2d46_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/22087005348/in/datetaken/]]

Objekt: NGC 6888 - Cresent Nebel, Teleskop: 21" f/3.8, Vergrößerung: __100x__, Filter: [OIII], Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[20. August 2023|20. August 2023 - Lange Rhön]], Seeing 2-3, SQM-L

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/ZB070i62hA" title="NGC 6888 - Cresent Nebel"><img src="https://live.staticflickr.com/65535/53356880042_3079ff7935_h.jpg" alt="NGC 6888 - Cresent Nebel"/></a>

Objekt: NGC 6891, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.51, Ort: Wasserkuppe, Zeitpunkt: [[05.10.2018|05. Oktober 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/44582944095/in/dateposted-public/" title="NGC 6891"><img src="https://farm2.staticflickr.com/1920/44582944095_3a1a7c8b99_c.jpg" alt="NGC 6891"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/45445530992/in/dateposted-public/]]

Objekt: NGC 6894, Teleskop: 14" f/4.6 Newton, Vergrößerung: 430 fach, Filter: OIII, Bedingungen: SQM-L 21.2, Ort: Wasserkuppe, Zeitpunkt: [[15.10.2017|15. Oktober 2017 - Wasserkuppe]]


<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37984929371/" title="NGC 6894"><img src="https://live.staticflickr.com/4482/37984929371_fc8aa92a2e_c.jpg" alt="NGC 6894"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26209045849/in/photostream/]]

Objekt: NGC 6905, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: UHC, Bedingungen: SQM-L 21.7, Ort: St. Cristobal, Zeitpunkt: [[16.07.2018|16. Juli 2018 - Alto Tajo]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43808663061/" title="NGC 6905"><img src="https://farm2.staticflickr.com/1836/43808663061_5848742883_c.jpg" alt="NGC 6905"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/43808663071/in/photostream/]]

Objekt: NGC 6939 & 6946, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65 & 114x, Filter:-, Bedingungen: SQM-L 21.65, Ort: PDA, Zeitpunkt: 6.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29050414345/in/datetaken/" title="Untitled"><img src="https://c2.staticflickr.com/9/8176/29050414345_dc7da61773_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/28429388574/in/datetaken/]]

Objekt: NGC 6960, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: [OIII], Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[16. & 17.06.2023|16. Juni 2023 - Pinar de Araceli]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/LC015B1Te9" title="NGC 6960 - Sturmvogel"><img src="https://live.staticflickr.com/65535/53508789231_6e91420662_h.jpg" alt="NGC 6960 - Sturmvogel"/></a>

Objekt: NGC 7008, Teleskop: 14" f/4.6 Newton, Vergrößerung: 430x, Filter:-, Bedingungen: SQM-L 21.4, Ort: Lange [[Rhön]], Zeitpunkt: [[03.09.2021|3. September 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/RH4DM1" title="Test2"><img src="https://live.staticflickr.com/65535/51446326879_2888bd163e_b.jpg"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51446734230/in/dateposted/]]

Objekt: NGC 7009 - Saturnnebel, Teleskop: 25" f/4 Newton, Vergrößerung: 670x, Filter:-, Bortle 1, Ort:  Tivoli Astrofarm, Zeitpunkt: [[27.06.2022|27. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/e674Z46N9B" title="NGC 7009"><img src="https://live.staticflickr.com/65535/52365004050_223e104f3b_c.jpg" alt="NGC 7009"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52366223755/in/dateposted/]]

Objekt: NGC 7026, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter:-, Bedingungen: SQM-L 21.55, Ort: Wasserkuppe, Zeitpunkt: [[11.09.2018|11. September 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/45007618522/in/dateposted-public/" title="NGC 7026"><img src="https://farm2.staticflickr.com/1958/45007618522_e330cced66_c.jpg" alt="NGC 7026"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/45007618552/in/dateposted-public/]]

Objekt: NGC 7027, Teleskop: 25" f/3.2 Newton, 
Vergrößerung: 621x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Athos Star Campus]], Zeitpunkt: [[18.09.2020|18. September 2020 - La Palma]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/MGsf1c" title="NGC 7027"><img src="https://live.staticflickr.com/65535/50490251532_1c1a6204fc_c.jpg" alt="NGC 7027"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/50489393698/in/photostream/]]

Objekt: NGC 7027, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800x, Filter:-, Bedingungen: SQM-L 21.65, Ort: PDA, Zeitpunkt:  2.08.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29346564802/in/datetaken/" title="NGC 7027"><img src="https://c3.staticflickr.com/9/8352/29346564802_a0cda9fe9e_b.jpg" alt="NGC 7027"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29049723255/in/datetaken/]]

Objekt: NGC 7048, Teleskop: 21" f/3.8, Vergrößerung: 378x & __562x__, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[15. September 2023|15. September 2023 - Lange Rhön]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3r48VB0iL9" title="NGC 7048"><img src="https://live.staticflickr.com/65535/53272699878_b9672063d0_h.jpg"  alt="NGC 7048"/></a>

Objekt: NGC 7090, 25" Dobson, Vergrößerung: 178x & 278x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[05.06.2019|05. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9L15jd" title="NGC 7090"><img src="https://live.staticflickr.com/65535/51223844315_fdaa4efaba_c.jpg" alt="NGC 7090"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51222060177/in/photostream/]]

Objekt: NGC 6828, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter: OIII, Bedingungen: SQM-L 21.45, Ort: Lange Rhön, Zeitpunkt: 24.09.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/29561345703/in/datetaken/" title="NGC 7094"><img src="https://c8.staticflickr.com/9/8640/29561345703_ff6353095c_o.jpg" alt="NGC 7094"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/30105515861/in/datetaken/]]

Objekt: NGC 7098, 25" Dobson, Vergrößerung: 282x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[08.06.2019|08. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/HN275n" title="NGC 7098"><img src="https://live.staticflickr.com/65535/51189211397_b5b4f75bf2_c.jpg"  alt="NGC 7098"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51190684694/in/photostream/]]

Objekt: NGC 7139, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter:UHC, Bedingungen: SQM-L 21.4, Ort: Lange [[Rhön]], Zeitpunkt: [[02.09.2021|2. September 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Gh5ia9" title="NGC 7139"><img src="https://live.staticflickr.com/65535/51486990454_44a90da6c9_b.jpg" alt="NGC 7139"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51486277891/in/photostream/]]

Objekt: NGC 7293, Teleskop: 24" Bino-Dobson & 25" f/4 Newton, 
Vergrößerung: 178x & 278x, Filter: ''OIII'', Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[08.06.2019|08. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6xFt3c" title="Helixnebel 3"><img src="https://live.staticflickr.com/65535/49619449586_338f8dece9_c.jpg" alt="Helixnebel 3"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49618932728/in/photostream/]]

Objekt: NGC 7331, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 290x, Filter:-, Bedingungen: SQM-L 21.4, Ort: Wasserkuppe, Zeitpunkt: [[03.12.2016|03. Dezember 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31248037543/in/datetaken/" title="Untitled"><img src="https://c8.staticflickr.com/6/5486/31248037543_78c7be9c78_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31248037523/in/datetaken/]]

Objekt: NGC 7331 - Deer Lick Group, Teleskop: 21" f/3.8, Vergrößerung: 380x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[15.09. & 15.10.2023|15. Oktober 2023 - Stumpertenrod]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/573Eq4u7yE" title="Deer Lick Group"><img src="https://live.staticflickr.com/65535/53350861046_3e66cafbca_h.jpg" alt="Deer Lick Group"/></a>

Objekt: NGC 7354, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 900x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[05.01.2019|05. Januar 2019 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/BP9X8y" title="NGC 7354"><img src="https://farm8.staticflickr.com/7900/32410348547_ec1fdb49e0_c.jpg" alt="NGC 7354"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46437261025/in/photostream/]]

____Objekt: NGC 7496, 25" f/4 Dobson, Vergrößerung: 278x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[11.06.2021|10. Juni 2021 - Tivoli Astrofarm]], Seeing 3-4

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Y4qkEu" title="NGC 7496"><img src="https://live.staticflickr.com/65535/51462838524_4df5458e72_b.jpg" alt="NGC 7496"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51461340582/in/photostream/]]

Objekt: NGC 7497 & MBM 54, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 40x & 65x, Filter: -, Bedingungen: SQM-L 21.7, Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[28.12.2019|28. Dezember 2019 - Pinar de Araceli]], Seeing 1-2

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/36i135" title="MBM 54"><img src="https://live.staticflickr.com/65535/49588783488_be5cfee519_c.jpg" alt="MBM 54"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49589518172/in/photostream/]]

Objekt: NGC 7538, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter:-, Ort: Campos de Hernan Perea, Zeitpunkt: [[24.12.2022|24. Dezember 2022 - Campos de Hernan Perea]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/VFnhT050Hs" title="NGC 7538"><img src="https://live.staticflickr.com/65535/52613179399_e8557509f8_h.jpg" alt="NGC 7538"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52606872134/in/photostream/]]

Objekt: NGC 7640, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.54 & 21.82, Ort: Wasserkuppe & Muela de San Juan, Zeitpunkt: [[15.11.|15. November 2018 - Wasserkuppe]] & [[30.12.2018|30. Dezember 2018 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/18VpSo" title="NGC 7640"><img src="https://farm5.staticflickr.com/4909/46699247821_d8b57ea71a_h.jpg" alt="NGC 7640"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46699247811/in/photostream/]]

Objekt: NGC 7640, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 1000x, Filter: -, Bedingungen: SQM-L 21.54, Ort: Wasserkuppe, Zeitpunkt: [[15.11.2018|15. November 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/0Ev2pG" title="NGC 7662"><img src="https://farm5.staticflickr.com/4895/46422890832_4097479a05_c.jpg" alt="NGC 7662"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/45560753405/in/photostream/]]

Objekt: NGC 770 & 72 = Arp 78, Teleskop: 21" f/3.8, Vergrößerung: 231x & 378x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[18. & 20.  August 2023|20. August 2023 - Lange Rhön]], Seeing 2-3, SQM-L 21.50

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/6x6Z733078" title="NGC 772"><img src="https://live.staticflickr.com/65535/53165922155_8bb3320a85_h.jpg" alt="NGC 772"/></a>

Objekt: NGC 7789, Teleskop: 10x50 Feldstecher (65° GF), Vergrößerung: 10x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Lange [[Rhön]], Zeitpunkt: [[09.10.2021|9. Oktober 2021 - Lange Rhön]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/nJi1H2" title="NGC 7789"><img src="https://live.staticflickr.com/65535/51672747388_02d73fb830_h.jpg" alt="NGC 7789"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51672508726/in/photostream/]]

Objekt: NGC 80-Gruppe, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.8, Ort: RDLM, Zeitpunkt: 07.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24461036934/in/datetaken/" title="NGC 80"><img src="https://farm2.staticflickr.com/1656/24461036934_f82c883c09_o.jpg" alt="NGC 80"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/25091723905/in/datetaken/]]

Objekt: NGC 891, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168 - 290x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Stumpi, Zeitpunkt: 25.09.2016

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/29963753736/in/datetaken/" title="NGC 891"><img src="https://c1.staticflickr.com/9/8498/29963753736_a218f38dcc_o.jpg" alt="NGC 891"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29371136423/in/datetaken/]]

Das Video zeigt den die Sternrotation um Polaris.

<iframe src="https://player.vimeo.com/video/259532569" width="640" height="360" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<p><a href="https://vimeo.com/259532569">Rotation des Nachthimmels.</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

!''[[Index - Offene Sternhaufen]]''

!!''__Messier__'' > NGC > IC > Kronberger > Misc

<div class="tc-link-info">

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!!Messier > ''__NGC__'' > IC  > Kronberger > Misc

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!!Messier > NGC > ''__IC__'' > Kronberger > Misc

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<$list filter="[tag[Zeichnung]] +[tag[Offene Sternhaufen]] +[prefix[IC]]">

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!!Messier > NGC > IC > ''__Kronberger__'' > Misc

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!!Messier > NGC > IC > Kronberger > ''__Misc__''

<div class="tc-link-info">

<$list filter="[tag[Zeichnung]] +[tag[Offene Sternhaufen]] +[tag[Misc]]">

<div class="tc-link-info-item">

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Objekt: Sternbild Orion, Kamera: astromodifizierte Sony A6000 (APS-C) bei 1600 ASA, Objektiv: Sigma 56mm f1.4 @f2, Filter: STC Multispectra Clip-Filter, Belichtungszeit: 8x10x60 sec (Mosaik aus 8 Panels), Bedingungen: SQM-L 21.7, Ort: [[Roque de los Muchachos (RDLM)]], Zeitpunkt: [[22.01.2019|22. Januar 2020 - La Palma]], Omegon Astrotracker NS, Bearbeitung in Sequator, MS ICE, PS CS2, LR iOS.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Cd7y66" title="Final 12"><img src="https://live.staticflickr.com/65535/49588853851_b99208dbbf_k.jpg" alt="Final 12"></a>

Is there a non digital version? Yes, of course: https://flic.kr/p/2cwBuiW

Es ist nicht der erste Ostersonntag, an dem ich beobachte. Tatsächlich gibt es meistens zumindest zwei Stunden Beobachtung an einem Ostersonntag, manchmal sogar mehr.  Im nächsten Jahr, also 2024, sind es sogar sechs! 

Dieses Jahr haben wir eines der schlechtesten Frühjahre - was Beobachtungen angeht - überhaupt, zumindest laut meinen Aufzeichnungen; zwei bisher nutzbare Nächte. Im März ging nichts. Wir haben mittlerweile April. Beim Schreiben dieser Zeilen zeichnet sich jedoch in einer Woche ein längeres Schönwetterfenster ab. Heute Nacht wird es - wie eingangs - erwähnt, eine kurze Nacht, denn der Ostermond geht bereits um halbeins auf. Insgesamt hat man damit nur ca. zweieinhalb Stunden astronomische Nacht. Was mich zusätzlich animiert hat doch rauszufahren, ist auch die Tatsache, dass Merkur im Moment wieder medientechnisch „gehypt“ wird, denn er ist aktuell sehr gut in der Abenddämmerung sichtbar und das zusammen mit der Venus. Das Merkur so gut sichtbar ist, liegt daran, dass die Ekliptik im Frühjahr recht steil am Westhimmel steht. Das ist dann im übrigen auch die einzige Zeit im Jahr, wo man in der Rhön, überhaupt eine Chance hat das Zodiakallicht zu erkennen.

Ich habe mir für diese Nacht zwei Objekte rausgesucht. Für jedes habe ich etwa eine Stunde Zeit inklusive Zeichnung. Das erste Objekt ist ein guter und alter Bekannter, es ist der Eulennebel. Zweites Objekt ist die Galaxie [[M 96]]. Bonusobjekt, die direkt nebenan befindliche M 95. Superbonus M 108! 😄 

<<<.tc-big-quote

!!Wie kann man am Teleskop zeichnen ✍️ und das Tablett dabei bequem halten?

Es wird weiterhin digital gezeichnet. Die Zeichnungen habe ich diesmal vorbereitet, d.h. Leinwände angelegt und auch schon Sterne bis zu einer Grenzgröße von 15 mag gezeichnet. Die kann ich dann bei der Beobachtung alle kurz anschauen und mit dem tatsächlichen visuellen Eindruck vergleichen. Darüber hinaus kann ich in einer eigenen Zeichenebene zu dem Thema vermerken, ob sie tatsächlich sichtbar sind. Falls nicht, auch eine Option, kann ich sie auch direkt mit dem (digitalen) Radierer entfernen und auch dimmen, sofern sie dunkler erscheinen. Das ist sehr praktisch und insbesondere sehr einfach.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/8oAa7671L1" title="Untitled"><img src="https://live.staticflickr.com/65535/52806954009_653d05b2e0_h.jpg"/></a>

iPad mit Schutzhülle und Tragegurt, für den Außeneinsatz. Die Schutzausrüstung habe ich bereits vor längerem gekauft, aber bisher noch nicht ausprobiert. Im Kern hat man eine extrem robuste Schutzhülle aus Plastik und Gummi. Im Lieferumfang befindet sich auch eine Panzerglasfolie. Ich habe allerdings schon eine drauf, so dass ich sie zunächst nicht benötige. Es gibt sogar das Frontelement zweimal, quasi direkt Ersatz, falls der Frontrahmen aus Plastik brechen sollte? Der Tragegurt kann in der Länge modifiziert werden, so dass er alles bequem um den Hals gehangen werden kann. Dann kann man einfach, ohne das iPad mit den Händen halten zu müssen, zeichnen. Der Pencil findet in einem eigenen Fach ebenfalls Platz und kann auch über das Tablett geladen werden.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/cw25tKMbJ5" title="Untitled"><img src="https://live.staticflickr.com/65535/52806953999_e89c6ce0b6_h.jpg"/></a>

Im nächtlichen Einsatz stellt sich das Ganze als recht praktisch heraus. Mittels des Tragegurt kann das iPad einfach um den Hals getragen werden, und ist auch nicht so schwer. Lediglich die Größe ist doch etwas störend, wenn man sich beispielsweise setzen möchte und dann mit dem „Brett vor dem Bauch“ konfrontiert ist; zumindest bei der 19,5" iPad Version, die ich habe. So kann jedoch zumindest, das iPad auch zwischendurch gewärmt werden, wenn es nicht im Einsatz ist, denn ab circa -4 °C schaltet sich das iPad ab, sofern es diese Temperatur erreicht. Wird es stattdessen immer wieder aufgewärmt, zum Beispiel durch tragen unter der Jacke, gibt es dieses Problem natürlich nicht.

Nachteil der Schutzhülle ist, dass das Ganze mit dem montierten iPad doch recht schwer wird. Über eine Schlaufe, in die man die Hand einbringt, kann es noch ganz gut gehalten werden, aber eigentlich ist man auf den Tragegurt angewiesen. Dennoch ein gelungenes Produkt - aus meiner Sicht - denn tatsächlich erleichtert es den Einsatz im Feld ungemein, insbesondere wird so quasi ausgeschlossen, dass das iPad herunter fällt.

<<<

Bevor die Nacht beginnt, muss ich entscheiden, wo ich tatsächlich den Merkuruntergang beobachten und fotografieren werde. Ich habe heute ein Zimmer auf der Wasserkuppe, also bietet es sich an dort sowohl den Sonnenuntergang als auch den Merkuruntergang zu beobachten. Auf dem Gipfel ist tatsächlich wenig Wind vorhergesagt, so dass sich die höchste Erhebung der Rhön anbietet. Die Aussicht ist von hier oben grandios, ebenfalls ein Vorteil. Ein Nachteil hingegen ist, dass ich mit der Beobachtung heute natürlich pünktlich beginnen will und muss(!) und da sollte das Teleskop zu Dämmerungsende einsatzbereit sein. Am besten noch etwas davor, um einen Puffer zu haben. Den Mondaufgang möchte ich auch fotografieren! Man sieht schon, das ist alles sehr stressig heute. Aber ich habe die Zeit auf meiner Seite, d.h. um eins sollte der „Spuk“ vorbei sein, und ich in Richtung Unterkunft beziehungsweise Bett sein. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/69CQCViVb6" title="Untitled"><img src="https://live.staticflickr.com/65535/52806947234_c026e59a6f_k.jpg"/></a>

Am Ende mache ich genauso: ich treibe mich vor Sonnenuntergang in der Langen Rhön herum und zum Sonnenuntergang treffe ich am Schwarzen Moor ein. Es bleibt noch Zeit und so gehe ich noch mal zum Aussichtsturm, der eine grandiose Rundumsicht bietet. Dabei wird auch noch mal deutlich, dass die Transparenz zwar stetig besser wird, aber die Fernsicht am Boden doch recht schlecht bleibt. Doch was ist die Ursache? Vermutlich Luftfeuchtigkeit, aber das kann wiederum auch nicht so richtig sein, denn nachts bleibt alles erstaunlicherweise trocken. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/5wYA28780t" title="Untitled"><img src="https://live.staticflickr.com/65535/52807339798_4fa2d8a657_k.jpg"/></a>

Kurz nach Sonnenuntergang suche ich direkt den Beobachtungsplatz auf. Es sind noch Wanderer unterwegs. Beim aufbauen treffe ich auf einen Rollerskifahrer. Wir kommen kurz ins Gespräch und tauschen uns über Digitalkameras aus. Wenn ich einen technischen Fortschritt benennen sollte, der mich in den letzten 20 Jahren am meisten beeindruckt hat, würde ich die Entwicklung der digitalen Fotografie nennen. Einfach unglaublich.

Es wird schnell dunkel, obwohl die Dämmerung im April bereits circa zwei Stunden benötigt. Trotzdem ist dies heute von Vorteil, denn ich kann in Ruhe nach dem Aufbau fotografieren. Dann schaue ich mir direkt die Venus im 21 Zöller an. Bei Übersichtsvergrößerung ist sie sehr gut erkennbar, es zeigt sich eine ausgeprägte Phase, würde schätzen 50-60 %.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/VrD7v84dd5" title="Venus &amp; Merkur"><img src="https://live.staticflickr.com/65535/52806475156_bfab757000_k.jpg" alt="Venus &amp; Merkur"/></a>

Venus und Merkur über Rhön. Merkur steht nahe der Bildmitte knapp über einer Wolkenbank. Einzelaufnahme mit Sony A6300 (APS-C) und Tamron 17-70mm f2.8 Zoomobjektiv @f4. Auch das Zodiakallicht ist zum Dämmerungsende ganz schwach aber eindeutig erkennbar.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2590701j4H" title="Zodiakallicht über der Rhön"><img src="https://live.staticflickr.com/65535/52807169496_04678bbe8c_k.jpg" alt="Zodiakallicht über der Rhön"/></a>

!! Beobachtungsbedingungen

Klar, mit mäßiger Transparenz. Kein Wind. Gute Bedingungen. Trocken mit wenig Luftfeuchtigkeit. Im Zenit sehr dunkel. 21.62 mit dem SQM-L! Perfekt! Überprüfe das noch mit anderen Himmelsabschnitten, so zum Beispiel der Region, die aktuell im Zodiakallicht steht. 20.8, stimmen also die Werte. Visuell sieht das im Zenit auch sehr gut aus. Abseits hingegen nicht so. Wintermilchstraße ist trotz geringer Höhe über dem Westhorizont schwach erkennbar.

![[M 97 - Eulennebel]]

Rund bei Übersichtsvergrößerung und sehr hell. Probiere beide Filter, UHC und [OIII]. UHC bringt guten Kontrast, aber kein Vergleich zum [OIII]. Interessanterweise sind sogar die im Zentrum des Nebel befindlichen drei Sterne mit allen Filtern trotzdem sichtbar. Die innere hellere Nebelschale ist tatsächlich oval und nicht rund. Der runde Eindruck kommt von der äußeren Schale, die deutlich lichtschwächer ist, aber gegenüber dem Himmelshintergrund trotzdem gut abgegrenzt werden kann. Die „Augen“ kommen am besten bei indirekter Beobachtung sehr kontrastreich rüber. 231x und 378x. Bin jetzt circa eine Stunde an der Beobachtung und Zeichnung.

Der Himmel ist im Zenit ausgezeichnet. Die Werte brechen nicht ein. Erst Richtung Horizont ist es deutlich diesig. +5° C. Seeing gut. Es geht jetzt zum zweiten Objekt.

![[M 96]]

Bei Übersichtsvergrößerung wunderschön. Sieht dann wie ein Insekt aus. Man kann bereits das helle sternartige Zentrum erkennen, an das sich ausgedehntere und diffus abgehende Spiralarme anschließen. In Zentrumsnähe ist auch westlich, eine diffuse Dunkelfahne zu erkennen. Insgesamt wirkt der Galaxienkörper sehr chaotisch und irgendwie „gestört“. In der Nähe zwei linsenförmige Galaxien erkannt, wobei eine wirklich sehr schwer ist. Seeing ist mittlerweile nicht mehr gut, drei würde ich schätzen. 231x & 378x.

!! Zum Mondaufgang auf den Hügel 

Der Wind nimmt ab Mitternacht zu. Damit wird es auch kalt. Zumindest gefühlt. Trotzdem bleibt die Luftfeuchtigkeit offenbar recht niedrig, denn es gibt keinen Taubeschlag. Schließlich ist es soweit: 0:15 Uhr. Es ist Zeit, den Hügel zu erklimmen, denn in 15 Minuten geht der Mond auf. Ich nehme die Tasche in der sich der Pentax SDHF 75 befindet. Die Sony A7 ist ebenfalls bereits am Tubus montiert. Ich möchte den Mond beim Aufgang fotografieren. Und da stehe ich und warte. 0:32 Uhr, wo ist bitte der Mond? Gucke noch mal in ~SkySafari nach und erschrecke etwas, denn möglicherweise braucht er eine halbe Stunde länger? Nicht für den Aufgang selbst, sondern um sich aus dem Wald vorzukämpfen? Da hätte ich ja noch ein bisschen beobachten können! Aber Nix da, plötzlich ist auf einmal über den entfernten Baumwipfeln ein kleines, rötliches Licht erkennbar. Sofort ist mir klar, das muss der Mond sein! Und er ist es. Schnell mache ich ein paar Aufnahmen und es ist unglaublich, wie in wenigen Minuten der Mond immer heller wird. Dies kann ich natürlich an der Kamera direkt verfolgen. Nach ein paar Minuten ist das Spektakel vorbei. Parallel beobachte ich, wie am Horizont hohe Wolken aufgetaucht sind. Im Zenit sind auch Flugzeugspuren erkennbar, die sich offenbar nicht mehr aufgelöst haben. So hatte es der Wetterbericht ja auch vorhergesagt, dass exakt ab Mitternacht, hohe Wolken aufkommen werden. Nun sind sie also da.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/D2A4Aq58YA" title="Untitled"><img src="https://live.staticflickr.com/65535/52806616701_2d8709fa99_k.jpg"/></a>

Der Mond taucht die Umgebung in aschfahles Licht. Faszinierend, die Stimmung dazu. Der Wind hat weiterhin zugelegt. Mir ist einfach nur noch kalt. Jetzt geht es nur noch ums abbauen und einpacken. Ich fahre sehr zufrieden Richtung Wasserkuppe, wo ich heute Nacht bleiben werde.

Objekt: Palomar 1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Wasserkuppe, Zeitpunkt:  [[28.11.2016|02. Dezember 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32014288056/in/datetaken/" title="Pal 1"><img src="https://c1.staticflickr.com/1/708/32014288056_3d1e8d41ca_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31905142442/in/datetaken/]]

Objekt: Palomar 2, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Wasserkuppe, Zeitpunkt:  [[28.11.2016|28. November 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31676626832/in/datetaken/" title="Palomar 2"><img src="https://c1.staticflickr.com/1/737/31676626832_f4170718d8_b.jpg" alt="Palomar 2"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31707486831/in/datetaken/]]

Objekt: Palomar 3, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter:-, Bedingungen: SQM-L 21.4, Ort: Wasserkuppe, Zeitpunkt:  [[02.12.2016|02. Dezember 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32017503746/in/datetaken-public/" title="Untitled"><img src="https://c3.staticflickr.com/1/673/32017503746_df592435bd_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31681586750/in/datetaken/]]

Objekt: Palomar 4, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31807471220/in/datetaken/" title="Untitled"><img src="https://c5.staticflickr.com/1/342/31807471220_01cb4a8624_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/32064300691/in/datetaken/]]

Objekt: Palomar 5, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: -, Bedingungen: SQM-L 21.92, Ort: Llanos de las Animas, Zeitpunkt: [[25.03.2017|25. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33377214754/in/datetaken-public/"><img src="https://c1.staticflickr.com/5/4157/33377214754_cec19892ae_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33377214904/in/datetaken-public/]]

____Objekt: Palomar 5, 25" f/4 Dobson, Vergrößerung: 125x, Filter:-, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[10.06.2021|10. Juni 2021 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/wvR4NF" title="Palomar 5"><img src="https://live.staticflickr.com/65535/51695546011_6b6d149a1c_c.jpg" alt="Palomar 5"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51695546021/in/photostream/]]

Objekt: Palomar 8, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114-420 fach, Filter:-, Bedingungen: SQM-L 21.8, Ort: Pinar de Araceli, Zeitpunkt: [[23.07.2017|23. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35694122733/in/datetaken-public/" title="Palomar 8"><img src="https://farm5.staticflickr.com/4433/35694122733_41fd78a345_c.jpg" alt="Palomar 8"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36456486356/in/datetaken-public/]]

Wie Palomar Kugelsternhaufen bilden einen sehr kleinen Katalog von nur 15 Objekten.

|!Nr.|!Datum, Öffnung, Beobachtungsbedingungen, -platz, Beschreibung|
|''1''|29.11.2016, 14", 65x, Bortle 3, SQM-L 21.36 Z, Wasserkuppe<br>Am Besten bei maximaler Austrittspupille zu erkennen, d.h. bei 65 fach. Bei 114 fach auch Blickweise wahrnehmbar, aber nicht so gut. Es zeigt sich ein runder Nebel zwischen einem Doppelstern und einem Stern. Scheint diesen fast zu berühren. Sieht eher wie ein kleiner planetarischen Nebel aus. [[Zeichnung|Palomar 1]]|
|''2''|29.11.2016, 18", ?x, Bortle 3, SQM-L 21.5 Z, Wasserkuppe<br>Rund und mit der für Kugelsternhaufen typischen Helligkeitszunahme zum Zentrum hin. Direkt neben einem Stern. Einfach!<br>02.12.2016, 14", 114x, Bortle 3, SQM-L 21.36 Z, Wasserkuppe<br>Bei 65 fach nicht zu erkennen. Bei 114 fach wird dann sehr einfach ein kleiner, runder Nebelball sichtbar. Deutlich dunkler als im 18 Zöller vor einigen Tagen. Steht in der Nähe eines Doppelsterns. [[Zeichnung|Palomar 2]]|
|''3''|02.12.2016, 14", 114x, Bortle 3, SQM-L 21.36 Z, Wasserkuppe<br>Sehr schwacher KS. Gerade so zu erahnen. In direkter Nachbarschaft zu einem schwachen Stern.|
|''4''|[[25.12.2016|25. Dezember 2016 - Pinar de Araceli]], 14", 114x, Bortle 1, SQM-L 21.86 Z, Nablanca<br>Kleiner, runder Nebelball direkt nebem einem schwachen Stern. Kann schon bei 65 fach ausgemacht werden. Besser jedoch bei 114 fach beobachtbar. [[Zeichnung|Palomar 4]]|
|''5''|25.03.2017, 14", 65x, Bortle 1, SQM-L 21.9 Z, Wassereservoir Reventon<br>Bei 65 facher Vergrößerung wird ein ganz schwaches Glimmen neben einem schwachen Stern sichtbar. Zum Zentrum hin leicht heller werdend. Keine Einzelsterne sichtbar. Kann indirekt gut gehalten werden. Läuft diffus aus. [[Zeichnung|Palomar 5]]<br>[[10.06.2021|10. Juni 2021 - Tivoli Astrofarm]], 125x, Bortle 1, Tivoli Astrofarm<br>Direkt neben M5 gelegen, tatsächlich ein sehr ungleiches Paar. M5 ist hell und kann mit hundertfach schon bis ins Zentrum komplett aufgelöst werden. Unweit steht der schwache Kugelsternhaufen Palomar 5. Bei 100x kaum zu erkennen. An der richtigen Stelle wird dann ein Glow sichtbar. Vergrößere weiter auf 125x und es sind neben dem Glow weitere ganz feine, schwache Sterne in der Nähe des Zentrums sichtbar. Hierbei sind leicht ein halbes Dutzend direkt zu erkennen. Weitere Sterne sind indirekt immer wieder aufblitzend kurz sichtbar. Sehr interessantes Objekt! [[Zeichnung|Palomar 5 mit 25 Zoll]] |
|''8''|09.08.2013, 14", 114x, Bortle 1-2, SQM-L 21.6 Z, PDA<br>Bei 56x bereits als runder Nebel zu erkennen. Bei 180x treten einzelne Sterne aus dem Haufen hervor. Der Kugelsternhaufen wirkt insgesamt aber noch neblig. Keine Helligkeitzunahme zum Zentrum hin.<br>[[23.07.2017|23. Juli 2017 - Pinar de Araceli]], 14", 65, 114 & 420x, Bortle 1-2, SQM-L 21.8 Z, PDA<br>Schon bei 65 fach als runder Nebelball gut zu erkennen. Sieht aus wie ein KS im Feldstecher. Bei 114 fach grießig. Bei 420 fach nicht mehr. Kann ohne Probleme bis auf 420 fach vergrößert werden. Es zeigt sich eine zum Zentrum hin zunehmender Helligkeitverlauf. Im Randbereich sind schwache Sterne zu erkennen, im KS selbst nicht. [[Zeichnung|Palomar 8]]|
|''9''|[[06.06.20139|06. Juni 2019 - Tivoli Astrofarm]], 25", 670x, Bortle 1-2, SQM-L 22.0 Z, Tivoli Astrofarm<br>Auch als NGC 6717 bekannt. Es werden neben 35 Sagr, einem 5 mag hellen Stern, ein kleiner KS sichtbar. Bei 670 fach werden etwa zwei Dutzend Sterne sichtbar, der hellste im Zentrum, auf einem Balken liegend. Der KS ist dabei vollständig aufgelöst. Ein etwas schwächerer aber fast gleich heller auf dem Rand. Form Eher Viereckig und nicht rund.  [[Zeichnung|NGC 6717 = Palomar 9]]|
|''11''|16.08.2014, 14", 114x, Bortle 1-2, SQM-L 21.36 Z, Bonilla<br>Klein, rund und diffus ohne Helligkeitszunahme zum Zentrum hin. 3-4 Einzelsterne blitzen immer mal wieder auf. Am Besten bei 114x beobachtbar.|
|''15''|[[09.08.2018|9. August 2018 - Tivoli Astrofarm]],  ''25" Dobson, 100x, Ort: Tivoli Astrofarm, SQM-L - 22.0'': „Heute ist bei 100 fach (AP=6.25 mm) ein etwa 2' großer Glow nördlich eines sehr schwachen Sterns zu erkennen. Absolut grenzwertig, aber dennoch sichere Beobachtung. Bei 114 fach (AP=3.5mm) auch noch zu erkennen. Bei 278 fach ist der Glow verschwunden und es blitzen an der richtigen Position immer wieder Einzelsterne durch. Sind nicht zu halten. Die hellsten können bzgl. Position relativ sicher zugeordnet werden und damit auch gezeichnet. Offenbar handelt es sich lt. POSS-Chart um Sterne des KS, was aber noch verifiziert werden muss. Seeing 1-2.“|

Glossar:<br>
PDA - Pinar de Araceli (1700 üNN)<br>
RDLM - Roque de los Muchachos (2300m üNN) <br>
La Podona - (1000m üNN)<br>
Z - Zenit

Objekt: Panorama der Sommermilchstraße, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: Sigma 55mm f1.4, Filter:-, Blende: f1.7, Belichtungszeit: 60 sec, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[06.06.2019|06. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48381232041/in/dateposted-public/" title="Northern and Southern Summer Milky Way"><img src="https://live.staticflickr.com/65535/48381232041_6d263a3e0d_k.jpg" alt="Northern and Southern Summer Milky Way"></a>

Objekt: Südliche Milchstraße, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: Sigma 55mm f1.4, Filter:-, Blende: f2.2, Belichtungszeit: 20x60 sec, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[06.06.2019|06. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/hv4c1K" title="Core Center"><img src="https://live.staticflickr.com/65535/48775131551_daa7200bea_k.jpg" alt="Core Center"></a>

Objekt: Südliche Milchstraße, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: Sigma 55mm f1.4, Filter:-, Blende: f2.2, Belichtungszeit: 8x90 sec, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[27.05.2019|27. Mai 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/566VD9" title="Untitled"><img src="https://live.staticflickr.com/65535/48357973592_71e2c47b6d_k.jpg"></a>

Objekt: Peimbert-Batiz 1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 900x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[03.01.2019|03. Januar 2019 - Muela de San Juan]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/1f66mk" title="Peimbert-Batiz 1"><img src="https://farm8.staticflickr.com/7912/47342813992_0a0053d01d_c.jpg" alt="Peimbert-Batiz 1"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47342814052/in/photostream/]]

Objekt: Peimbert-Batiz 10, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[6.08.2018|6. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/33527854748/in/dateposted/" title="Peimbert-Batiz 10"><img src="https://farm8.staticflickr.com/7880/33527854748_0210c28fb2_c.jpg" alt="Peimbert-Batiz 10"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33527854948/in/photostream/]]

Objekt: Peimbert-Costero 21, Teleskop: 14" f/4.6 Newton, Vergrößerung: 430-800 fach, Filter:-, Bedingungen: SQM-L 21.6, Ort: Pinar de Araceli, Zeitpunkt: [[22.07.2017|22. Juli 2017 - Campos de Hernan Perea]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36002678784/in/datetaken-public/" title="Peimbert-Costero 21"><img src="https://farm5.staticflickr.com/4395/36002678784_cf5cdb2af9_c.jpg" alt="Peimbert-Costero 21"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36836785655/in/datetaken-public/]]

Objekt: Peimbert-Costero 22, Teleskop: 14" f/4.6 Newton, Vergrößerung: 800 fach, Filter:-, Bedingungen: SQM-L 21.84, Ort: Pinar de Araceli, Zeitpunkt: [[24.07.2017|24. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/36557790611/in/datetaken-public/" title="Peimbert-Costero 22"><img src="https://farm5.staticflickr.com/4389/36557790611_dd4910ebc7_c.jpg" alt="Peimbert-Costero 22"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35886104683/in/datetaken-public/]]

Objekt: Perek 1-16, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 800x, Filter:OIII, Bedingungen: SQM-L 21.7, Ort: St. Cristobal, Zeitpunkt: [[16.07.2018|16. Juli 2018 - Alto Tajo]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42809038585/" title="Perek 1-16"><img src="https://farm1.staticflickr.com/849/42809038585_5295c9c71e_c.jpg" alt="Perek 1-16"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/42809038635/in/photostream/]]

Objekt: PGC 35129 (Arp 151), Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430fach, Filter: -, Bedingungen: SQM-L 21.8, Ort: Roque de los Muchachos, Zeitpunkt: [[06.04.2019|06. April 2019 - La Palma]], Seeing 1

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/5BK91H" title="Arp 151"><img src="https://live.staticflickr.com/65535/46854162815_5b1db67360_c.jpg" alt="Arp 151"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46854162835/in/photostream/]]

Objekt: PGC 50779 = ESO 97-G13, Teleskop: 25" f/4 Newton, Vergrößerung: 100-280x, Filter:-, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[25.05.2017|25. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35144027720/in/datetaken-public/" title="PGC 50779 - Circinusgalaxie"><img src="https://c1.staticflickr.com/5/4289/35144027720_0c2a8bfa95_o.jpg" alt="PGC 50779 - Circinusgalaxie"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35491814696/in/datetaken-public/]] [[High Resolution |https://www.flickr.com/photos/106029581@N02/34721431413/in/datetaken-public/]]

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Sommer 2017 gezeichnet habe:

<div class="tc-link-info">

<$list filter="[tag[Zeichnung]] +[tag[Pinar 2017 - Zeichnungen]]">

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<div class="tc-subtitle">Posted <$view field="created" format="relativedate"/></div>

<$transclude/>

</div>

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Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Sommer 2018 gezeichnet habe:

<div class="tc-link-info">

<$list filter="[tag[Zeichnung]] +[tag[Pinar 2018 - Zeichnungen]]">

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!<$link><$view field="title"/></$link>

<div class="tc-subtitle">Posted <$view field="created" format="relativedate"/></div>

<$transclude/>

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</$list>

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<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/13959755559" title="IMG_0812"><img src="https://farm3.staticflickr.com/2897/13959755559_729ab9c534_k.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

In der Nähe des kleinen Dorfes "La Puebla de Don Fadrique" befindet sich dieser hoch gelobte Beobachtungsplatz, dem auf verschiedenen Seiten im Internet gehuldigt wird, z.B. Berichten des bekannten Astrofotografen [[Rogerlio Bernal Andreo|http://www.deepskycolors.com/]] 1. [[ Pinar de Araceli Star Party 2010|http://www.deepskycolors.com/archivo/2010/08/21/pinar-de-Araceli-Star-Party-2010.html]] sowie 2. [[Pinar de Araceli Summer 2011|http://www.deepskycolors.com/archivo/2011/09/11/pinar-de-Araceli-Summer-2011.html]]. Fakt ist, dass der Platz weitestgehend von Lichtverschmutzung verschont ist.
Mittlerweile ist es zehn Jahre her, dass ich diesen Platz entdeckt habe. Dabei gebührt mir nicht die Entdeckerehre, sondern hauptsächlich den oben angeführten Quellen beziehungsweise diverse Einträge in Blogs, die längst nicht mehr bestehen. Als ich diesen Ort im Dezember 2011 das erste Mal aufgesucht hatte, war ich sofort begeistert.

Neben dem [[Alto Tajo]] ist es die dunkelste Region auf dem spanischen Festland, sofern man man auch in Höhen um 1800m üNN beobachten möchte.

Der Pinar de Araceli ist eigentlich eine gleichnamige Unterkunft in mitten unberührter Natur, die während der Exzesse auf dem spanischen Immobilienmarkt vor der Finanzkrise entstanden ist. Es handelt sich hierbei genauer um eine weitläufige Ferienanlage, im Kern bestehend aus Hütten, die man mieten konnte. Die Anlage verfügt sogar über ein betoniertes Basketballfeld, dass natürlich für astronomische Beobachtungen ideal ist. Die komplette Anlage ging im Jahr 2011 im Anschluss an die Finanzkrise pleite und ist seitdem praktisch nicht mehr zugänglich.

Kurz nach der Schließung konnte ich in einer Nacht auf das Gelände gelangen und so zumindest mit dem Feldstecher eine perfekte, windstille Nacht verbringen.

Auch wenn die Ferienanlage nicht zugänglich ist, ist es dennoch möglich in Blickweite zu beobachten, denn über diverse Feldwege gelangt man an einen wunderschönen Platz. Ich habe mich damals entschlossen, diesen entsprechend der Ferienanlage zu nennen, wobei ich davon ausgehe, dass der Name ursprünglich einer lokalen Bezeichnung entstammt. 

Der Platz ist in der Sierra de Segura gelegen, einem Gebirge mit Höhen über 2000 m. Höchster Gipfel ist der Berg „La Sagra“ mit 2300m üNN.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/13826873473" title="P1020978"><img src="https://live.staticflickr.com/7320/13826873473_39eee2d4c2_k.jpg" alt="P1020978"></a>

Am Fuße der Sagra liegt in unmittelbarer Nähe zum Hotel "Colladas de la Sagra" auch das bekannte Sagra Observatorium (OLS). Letzteres ist für Entdeckungen im Kleinplaneten- und Kometenbereich bekannt geworden. Das Hotel ist vom Dorf aus ca. 14 km entfernt.

Der berühmte Calar Alto ist nur etwa 60-70km Luftlinie entfernt. Er kann bei guter Sicht vom Sagra Gebirge gesehen werden. Sogar die weiter entfernten schneebedeckten Gipfel der Sierra Nevada sind kein Problem. Insbesondere die Wetterstation des Calar Alto mit seinem [[Liveview|http://www.caha.es/guindos/WEBCAM/EXTERNAS/ALL/all.html]] (Webcam 1 zeigt fast in Bildmitte den Sagra Gipfel in ca. 70 km Entfernung) kann helfen die Beobachtungsbedingungen auf den Gipfeln des Sagra Gebirges abzuschätzen. Die besten Wetterprognosen für die Beobachtungsnächte lieferten 7timer.info (Karte mit Höhenkorrektur +2km nutzen) und inm.es für die Ortschaft La Puebla de Don Fadrique.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41510858760/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1825/41510858760_2a984399da_k.jpg"></a>

Entgegen der Ankündigung einer Wiedereröffnung des Pinars de Araceli bleibt das Gelände und damit auch die Hütten weiterhin geschlossen. Mittlerweile ist die Anlage auch soweit heruntergekommen, dass sie vermutlich auch nicht wieder genutzt werden kann. Eine weitere Ruine stellt ein Tagungshotel „La Vidriera“ dar, dass ebenfalls seit über mehr als zehn Jahren verlassen ist.

Über einen Feldweg, nur wenige hundert Meter von der Einfahrt zu den Hütten und kurz vor dem Tagungshotel entfernt, gelangt man über einen Feldweg an eine Viehtränke und von dort weiter auf eine an den Pinar angrenzende Wiese. Die Strecke ist mit einem normalen Kleinwagen zu bewältigen.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41553175160/in/dateposted-public/"><img src="https://farm2.staticflickr.com/1808/41553175160_ac4111acf9_k.jpg"></a>

Mittlerweile ist dies zu meinem Lieblingsbeobachtungsplatz auf dem spanischen Festland geworden. Er ist absolut auf Augenhöhe mit Topstandorten, wie z.B. La Palma. 

Mittlerweile wähle ich als Ausgangspunkt das Dorf La Matea auf der anderen Seite der Sierra. Der Beobachtungsplatz ist deutlich schneller zu erreichen und im Dorf gibt es im Gegensatz zu La Puebla de Don Fadrique kaum Durchgangsverkehr. 

Folgende Unterkünfte kenne ich und kann sie empfehlen:

#Hotel San Fransisco in Santiago de la Espada
#Hotel Escobar in La Matea
#Hotel Puerta de Andalucia in La Puebla de Don Fadrique

!Weitere Beobachtungsplätze

In der Sierra de Segura gibt es darüber hinaus viele gute Beobachtungsplätze, allerdings ist man im Pinar de Araceli optimal verortet, denn man ist noch gut von den Lichtverschmutzungsquellen der Städte wie Granada am Fuße der Sierra Nevada entfernt und auch vom Lichtkegel der Küstenstadt Murcia, die im Osten markant sichtbar ist. Nach Norden hin ist der Himmel nahezu streulichtfrei. Andere Beobachter haben mir mittlerweile berichtet, dass etwas weiter nördlich die Bedingungen auch sehr gut seien, d.h. zwischen den Ortschaften Santiago de La Espada und Pontones, wo man diversen Feldwegen folgend, ebenfalls sehr gute Beobachtungsplätze erreichen kann. Man entfernt sich hierbei weiter von den oben beschriebenen Lichtquellen, hat aber gegebenenfalls dann Richtung Norden Madrid möglicherweise in Sichtweite.

!!Campos de Hernan Perea

Beobachtungsplätze hingegen, die Richtung Süden oder Westen liegen, kann ich leider nicht empfehlen. So z.B. die [[„Campos de Hernan Perea“|22. Juli 2017 - Campos de Hernan Perea]], da diese zu nah an den Lichtverschmutzungsquellen der Sierra Nevada liegen. Sie sind zudem nicht über ausgebaute Straßen, sondern komplett nur über Feldwege erreichbar, bieten aber einen landschaftlich sehr einmaligen Charme, da sie praktisch frei von Vegetation sind und man das Gefühl hat, auf einem anderen Planeten zu sein. Hier finden auch die Aktivitäten von [[AstroÁndaluz|https://www.astroandalus.com/en/]] statt. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Eqh793t74Q" title="Untitled"><img src="https://live.staticflickr.com/65535/52587498435_3b4c63bb20_k.jpg"></a>

!Wetter- und Seeingbedingungen

Die Gegend liegt im Südosten des spanischen Festlandes. Die Gegend ist bekannt durch viele Sonnentage und entsprechende klare Nächte. Wind ist oftmals kaum vorhanden, außer bei Wetterwechseln. Über fast zehn Jahre habe ich mittlerweile auch Erfahrungen was das Seeing anbelangt. Es ist häufig gut und oft sogar sehr gut. In der Regel hat man Seeing von unter einer Bogensekunde. Extrem niedrige Werte, wie man sie zum Beispiel auf La Palma hat, sind hingegen selten.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/22621098247/in/datetaken/" title="Pinar de Araceli neu _ halbe auswahlstereo"><img src="https://farm6.staticflickr.com/5663/22621098247_f1e9013b47_k.jpg"></a>

!Lichtverschmutzung

Im Osten hat man praktisch bis circa 10° über dem Horizont eine deutliche Lichtglocke von Murcia, im Südwesten von Granada. In der Regel ist die Transparenz des Nachthimmels hier sehr gut, so dass die Lichtglocken auch unter sehr guten Bedingungen schrumpfen können. Der Süden ist praktisch frei von Lichtverschmutzung, ebenso der Norden. SQM-L Werte um 21.7 sind Standard. Unter guten Bedingungen 21.8 bis hin zu 21.9 im Zenit. Polaris hat man in der Regel 21.5 bis 21.6. Bei schlechter Transparenz, insbesondere bei Zirrusbewölkung, können die Werte aber regelrecht einbrechen und der Himmel ist dann zum Teil ähnlich stark aufgehellt wie an den besten Beobachtungsorten in Deutschland.
Positiv zu werten ist, dass die Lichtverschmutzung - zumindest meinen Beobachtungen nach - in den letzten zehn Jahren nicht zugenommen hat.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41557927150/in/dateposted-public/" title="Untitled"><img src="https://farm2.staticflickr.com/1766/41557927150_8c816db47b_k.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!Menschen & Leute

Die Leute hier sind sehr nett. Englische oder deutsche Sprachkenntnisse sollte man nicht voraussetzen, dennoch kann man sich mit dem Menschen hier gut verständigen. Spanischkenntnisse sind natürlich von Vorteil. Die Leute zeigen sich offen und interessiert. Sie sind immer wieder erstaunt und letztlich auch stolz wenn wir Amateurastronomen ihren dunklen Himmel besuchen. 

Hier gibt es auch keine Streitigkeiten mit Jägern oder Förstern. Die Wege im Gelände sind für jedermann nutzbar. Natürlich sollte man sich an die Regeln halten und beachten, dass man sich in der einer sehr trockenen Gegend aufhält und Feuer 🔥 oder Rauchen 🚬 in oder an Waldgebieten unterlassen. Aber ich denke das versteht sich von selbst.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/RcqZbBAS9F" title="Untitled"><img src="https://live.staticflickr.com/65535/53013626268_794d9e60b8_k.jpg"/></a>

!Fazit

Sucht man wirklich Abgeschiedenheit, so bietet der Pinar de Araceli ideale Bedingungen. Dennoch muss man nachts mit vereinzelten Flugverkehr rechnen, den man zum Beispiel auf La Palma nicht hat. Andersherum braucht man hier nicht zu fürchten, dass man nachts von irgend jemanden Besuch bekommt oder durch nächtlichen Autoverkehr gestört wird. Damit muss ich zum Beispiel in Deutschland jederzeit rechnen und selbst auf La Palma muss dies eingeplant werden.

Insgesamt ist die Region schwer zu erreichen. Plätze sind häufig nur über Feldwege zugänglich. Entsprechende Vorsicht beim Fahren ist deshalb geboten. 

Plant man zum Beispiel eine Exkursion von Deutschland aus mit dem Auto, so ist dieser Platz ideal geeignet, denn viel weiter südlicher wird man auf dem europäischen Festland nicht kommen. Ab Juni bis September hat man praktisch eine Hundertprozentige Schönwettergarantie, so dass eine solche Exkursion tatsächlich lohnen kann, sofern man ein nicht zu knappes Zeitfenster ansetzt. 

Die Gegend gewinnt aus meiner Sicht zusätzlich an Profil gegenüber zum Beispiel La Palma, da sie von Saharastaub seltener tangiert wird. Dieser ist nämlich insbesondere auf La Palma mittlerweile auch dauerhaft ein Thema.

Hier ist die Gesamtübersicht aller Zeichnungen, die ich Weihnachten 2019 gezeichnet habe:

<div class="tc-link-info">

<$list filter="[tag[Zeichnung]] +[tag[Pinar de Araceli 2019 - Zeichnungen]]">

<div class="tc-link-info-item">

!<$link><$view field="title"/></$link>

<div class="tc-subtitle">Posted <$view field="created" format="relativedate"/></div>

<$transclude/>

</div>

</$list>

</div>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/36213854082/in/datetaken-public/" title="Untitled"><img src="https://farm5.staticflickr.com/4346/36213854082_ef9a40914d_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Auf den Sommer in Spanien ist Verlass. Er quält die Menschen oft mit zum Teil Temperaturen über +40 Grad Celsius. So auch Mitte Juli. Zum Neumond ist dann wechselhaftes Wetter angesagt. Ich mache mir aber keine Sorgen, da normalerweise in Andalusien alles ruhig bleibt, selbst wenn von Westen oder Norden eine Kaltfront durchzieht. Kalt ist es dann natürlich nicht, aber so fallen die Maximaltemperaturen von +40 Grad Celsius auf gut und gerne +30 Grad Celsius. In den Hochlagen der Sierra werden dann auch mal +6 Grad Celsius am Morgen erreicht. Fast schon winterlich. Nicht wirklich kalt, aber das liegt bekanntlich im Auge des Betrachters. Ich hatte mir allerdings vorgenommen - wie letztes Jahr auch - in die Region des Alto Tajo zu fahren, ein Gebirge im Westen der Iberischen Halbinsel. Leider ist das Wetter nicht so stabil wie weiter südlich, so daß ich doch wieder "notgedrungen" in die Sierra de Segura fahren werde. Dabei handelt es sich um einen nahezu streulichtfreien Nachthimmel. Vermutlich den letzten und besten auf dem europäischen Festland. 

Ich bin noch gar nicht mit allen Reinzeichnungen aus Namibia fertig, bin aber während des Urlaubs dabei den Stapel abzuarbeiten. Vereinzelt liegen sogar noch einige z.B. vom [[Januaraufenthalt auf La Palma|La Palma im Januar]] "herum".

Als ich am Mittwoch aufbreche, ist die Vorhersage leider schlecht. Wenn alles gut läuft wird es drei passable Nächte geben. Wenn nicht, dann Pech gehabt. Am Wochenende soll es nämlich wieder Gewitter geben. Blöd. Im Rückblick muss ich leider sagen, dass der Juli in der Tat in Spanien noch wechselhaft sein kann. Am Ende war wieder alles gut. Es gab insgesamt sechs Nächte und sofern ich mehr Zeit gehabt hätte, hätte ich auch noch länger beobachten können. 

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 19.-20.07.|19. Juli 2017 - Pinar de Araceli]]|''14" Dobson, 5 h, Ort: Pinar de Araceli, SQM-L 21.7, +12 Grad Celsius, 5 Objekte''<br>NGC 6401, __[[Hubble 4]]__, __[[NGC 6369 - Little Ghost Nebel]]__, __[[Kohoutek 1-16]]__|
|[[2. Nacht / 20.-21.07.|20. Juli 2017 - Pinar de Araceli]]|''14" Dobson, 6 h, Ort: Pinar de Araceli, SQM-L 21.86, +14 Grad Celsius, 5 Objekte''<br>NGC 2516, __[[Minkowski 1-92 - Minkowski's Fußabdruck]]__, __[[Simeiz 22]]__, __[[Minkowski 1-64]]__|
|[[3. Nacht / 21.-22.07.|21. Juli 2017 - Pinar de Araceli]]|''14" Dobson, 6 h, Ort: Pinar de Araceli, SQM-L 21.83, +12 Grad Celsius, 7 Objekte''<br>__[[NGC 6309 - Box Nebel|NGC 6309 - Box Nebel mit 14 Zoll]]__, Minkowski 2-9 - Butterfly Nebel, __[[Minkowski 1-32]]__, __[[Humanson 1-1]]__, __[[Minkowski 2-55]]__,  __[[Humanson 1-2]]__|
|[[4. Nacht / 22.-23.07.|22. Juli 2017 - Campos de Hernan Perea]]|''14" Dobson, 6 h, Ort: Pinar de Araceli, SQM-L 21.6, +13 Grad Celsius,  4 Objekte''<br>__[[Peimbert-Costero 21]]__, __[[Minkowski 3-31]]__, __[[Minkowski 4-11]]__, __[[Minkowski 1-80]]__|
|[[5. Nacht / 23.-24.07.|23. Juli 2017 - Pinar de Araceli]]|''14" Dobson, 6 h, Ort: Pinar de Araceli, SQM-L 21.8, +15 Grad Celsius, 9 Objekte''<br>__[[Palomar 8]]__, __[[Minkowski 1-54]]__, __[[Minkowski 4-9]]__, ''NGC 6567'', __[[Minkowski 1-64]]__|
|[[6. Nacht / 24.-25.07.|24. Juli 2017 - Pinar de Araceli]]|''14" Dobson, 6 h, Ort: Pinar de Araceli, SQM-L 21.83, +14 Grad Celsius, 9 Objekte''<br>__[[Humanson 2-1]]__, __[[Weinberger-Sabbadin 5]]__, __[[Peimbert-Costero 22]]__, //Peimbert-Costero 23//, __[[Minkowski 4-17]]__|
|!6 Nächte|!Gesamtbeobachtungszeit 35 h, 27 Objekte beobachtet (z.T. mehrfach), davon __[[25 gezeichnet|Pinar 2017 - Zeichnungen]]__|

Am Ende war wieder alles gut. Es gab insgesamt sechs Nächte und sofern ich mehr Zeit gehabt hätte, hätte ich auch noch länger beobachten können. 
Das Ziel war von Tag zu Tag schauen was geht. Habe für die Reise auch einem guten Freund absagen müssen, der in Bonilla beobachtet hat. Die Vorhersage war hier einfach besser. Das Seeing auch.

Zum Seeing möchte ich ergänzen, dass es an allen Tagen gut und an den meisten sogar sehr gut war. Auf einer Skala von 1 bis 5 (Schulnoten) wurden als schlechteste Schätzung für kurze Zeit 3er Werte erreicht, in der Regel aber 1-2er. In der letzten Nacht habe ich am Morgen auch das Seeing gemäß Pickering bestimmt und bin auf eine 9 (von 10), d.h. der zweitbeste Wert der Skala gekommen. Im Ethos 3.7mm und mit dem Baader FFC waren selbst Sterne bei 1000 fach äußert klar und der Sterndurchmesser nicht - wie häufig - "aufgeblasen". Helle Sterne zeigten ein fast stillstehendes Beugungsmuster, wie ich es bisher noch nie im Teleskop gesehen habe.

Hier gibt es die Objektliste auch als Download für ~SkySafari: [[PinarSummer2017PN.skylist|http://www.estelar.de/PinarSummer2017PN.skylist]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41510858760/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1825/41510858760_246ed7b151_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Eigentlich sollte es zum [[Alto Tajo|Wie man einen dunklen Beobachtungsplatz findet]] gehen. Aber schließlich ist die Wettervorhersage zu schlecht. Es soll nämlich von Norden ein Tiefdruckgebiet reinziehen und dort schließlich für Wolken und sogar Regen sorgen. Also geht es wieder in den Pinar de Araceli. Hier ist alles gut. Je weiter ich mit dem Auto nach Süden fahre, desto besser wird die Transparenz. Vor Ort tümmeln sich zwar dann schließlich doch ein paar Quellwolken, nach der Siesta sind sie aber alle verschwunden.

!!Beobachtungsübersicht Pinar de Araceli 

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 09.-10.07.|9. Juli 2018 - Pinar de Araceli]]|''14" Dobson, 5 h, Ort: Pinar de Araceli, SQM-L 21.8, +13° C, 7 Objekte''<br>Verschiedene Objekte der südlichen Sommermilchstraße im Feldstecher, NGC 6287, __[[IC 4634]]__, NGC 6645, __[[Minkowski 1-53]]__, __[[Minkowski 1-56]]__, NGC 6712, __[[IC 1295]]__|
|[[2. Nacht / 10.-11.07.|10. Juli 2018 - Pinar de Araceli]]|''14" Dobson, 5 h, Ort: Pinar de Araceli, SQM-L 21.8, +14° C, 5 Objekte''<br>__[[NGC 6884]]__, __[[Minkowski 2-15]]__, __[[NGC 6439]]__, __[[NGC 6210]]__, __[[NGC 6772]]__|
|[[3. Nacht / 11.-12.07.|11. Juli 2018 - Pinar de Araceli]]|''14" Dobson, 5 h, Ort: Pinar de Araceli, SQM-L 21.91, +5° C, 4 Objekte''<br>__[[NGC 6572]]__, __[[NGC 6778]]__, ''NGC 6058'', __[[Henize 1-5]]__|
|[[4. Nacht / 12.-13.07.|12. Juli 2018 - Pinar de Araceli]]|''14" Dobson, 5 h, Ort: Pinar de Araceli, SQM-L 21.6, +15° C,  5 Objekte''<br>__[[Stephenson 4-1]]__, __ [[Kohoutek 3-27|Kohoutek 3-27 mit 14 Zoll]]__, __[[NGC 6751]]__, __[[NGC 6741]]__, __[[NGC 6852]]__|

Freitags erwacht das Dorf zum Leben. Im Hotel mit angeschlossener Bar ist richtig was los. Ich bin jetzt auch nicht mehr der einzige Gast. Und ich bin auf dem Rückweg nach hause.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28627264087/" title="Ohne Titel"><img src="https://farm1.staticflickr.com/847/28627264087_8700042272_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Schließlich klappt es doch noch. Es geht zum [[Alto Tajo|Alto Tajo]]. Am „ausgespähten Beobachtungsplatz“ ist für eine Nacht nur ganz wenig Wind vorhergesagt. Leider auch sehr hohe Luftfeuchtigkeit. Endlich ein neuer Beobachtungsplatz!

!!Beobachtungsübersicht Alto Tajo

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[5. Nacht / 16.-17.07.|16. Juli 2018 - Alto Tajo]]|''14" Dobson, 5 h, Ort: St. Cristobal, SQM-L 21.76, +6° C, 5 Objekte''<br>__[[Henize 1-5]]__, __[[NGC 6886]]__, NGC 6210, __[[Perek 1-16]]__, __[[NGC 6905]]__|
|!5 Nächte|!Gesamtbeobachtungszeit 25 h, 26 Objekte beobachtet, davon __[[21 gezeichnet|Pinar 2018 - Zeichnungen]]__|

Insgesamt war das wieder eine schöne Exkursion. Die ganze Zeit wehte ein SW-Wind vor allem in der Höhe, der offenbar auch Sand mitführte, was man an der schlechten Transparenz, vor allem in Andalusien, sehen konnte.

Hier gibt es die Objektliste auch als Download für ~SkySafari: [[PNSommer2018.skylist|http://www.estelar.de/PNSommer2018.skylist]]

Objekt: Pismis Moreno 1, Teleskop: 20" f/3.8 Newton, Vergrößerung: 138x, Filter: [OIII], Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[07.12.2023|7. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/nxDo225d00" title="Pismis-Moreno 1"><img src="https://live.staticflickr.com/65535/53434958148_acb4ae13c4_k.jpg" alt="Pismis-Moreno 1"/></a>

Objekt: PK 173-05.1 = K 2-1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114x, Filter: OIII, Bedingungen: 21.85, Ort: Reventon, Zeitpunkt: [[22.01.2017|22. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32403762484/" title="Pk 173-05.1"><img src="https://c1.staticflickr.com/4/3951/32403762484_350791d8d8_o.jpg" alt="Pk 173-05.1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33119331231/in/photostream/]]

Objekt: PK 80-60.1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter:-, Bedingungen: SQM-L 21.55, Ort: Wasserkuppe, Zeitpunkt: [[11.09.2018|11. September 2018 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/44335887354/in/dateposted-public/" title="Egg Nebel"><img src="https://farm2.staticflickr.com/1969/44335887354_5ed97afabb_c.jpg" alt="Egg Nebel"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/44335887344/in/dateposted-public/]]

![[Index - Planetarische Nebel]]


!!''__Messier__'' > NGC > IC > Abell > PK > Kohoutek > Henize > Minkowski > Misc

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!!Messier > ''__NGC__'' > IC > Abell > PK > Kohoutek > Henize > Minkowski > Misc

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!!Messier > NGC > ''__IC__'' > Abell > PK > Kohoutek > Henize > Minkowski > Misc

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!!Messier > NGC > IC> ''__Abell__'' > PK > Kohoutek > Henize > Minkowski > Misc

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!!Messier > NGC > IC> Abell > ''__PK__'' > Kohoutek > Henize > Minkowski > Misc

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!!Messier>NGC>PK>__''Kohoutek''__>Henize>Minkowski 

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!!Messier > NGC > IC> Abell > PK > Kohoutek > ''__Henize__'' > Minkowski > Misc

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!!Messier > NGC > IC> Abell > PK > Kohoutek > Henize > ''__Minkowski__''> Misc

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!!Messier > NGC > IC> Abell > PK > Kohoutek > Henize > Minkowski > ''__Misc__''

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An folgende Standorte nutze ich Beobachtungsplätze:

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''Fett'' gedruckte Nummern bedeuten erfolgreiche Beobachtung. //Kursive// hingegen nicht.

|!Nr.|!Datum, Öffnung, Beobachtungsbedingungen, -platz, Beschreibung|
|''2''|06.01.2013, 14", 114x, [OIII], Bortle 1-2, 21.53 - 21.67 Z, PDA <br> Schwacher runder Nebel. Mit Filter keine Sterne im Nebel auszumachen. Ohne Filter auch sichtbar. Nördlich rel. heller Stern.|
|''3''|03.10.2013, 14", 114x, [OIII], Bortle 1-2, 21.52 Z, RDLM <br> Nach langer Sucherei das richtige Sternfeld gefunden. Aber nichts zu sehen.<br><br>29.12.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br> An der richtigen Stelle ist ein Stern mit OIII-Filter zu sehen. Immer wieder wird ein nebeliger Eindruck vorgetäuscht, der aber bei anderen Sternen ebenfalls erscheint. Sowohl bei 114 und 56 fach und OIII-Filter kann ich nichts eindeutiges erkennen.<br><br>27.08.2014 04:20 Uhr, 14", 114x, [OIII], Bortle 2, 21.6 Z, PDA<br>Nach geduldiger Beobachtung zeigt sich ein diffuses ganz schwaches Glimmen um einen schwachen Stern. Kann indirekt bei 114 fach und OIII nicht ständig gehalten werden. Im Nebelgebiet taucht ein weiterer schwächerer Stern blickweise immer wieder auf. Schwer!<br><br>17.03.2015 20:50 Uhr, 14", 114x, [OIII], Bortle 1, 21.6 Z, RDLM<br>Bei 114 fach und OIII zeigt indirekt sicher NW eines Doppelsterns ein zartes Glimmen. Kein ZS. Typischer Abell. [[Zeichnung|Abell 3]]|
|''4''|	03.10.2013, 14", 114x, [OIII], Bortle 1-2, 21.52 Z, RDLM <br> Kleiner runder Nebel. Bei 114 fach und OIII-Filter recht einfach zu sehen. Keine Strukturen erkennbar. Bildet mit zwei Sternen ein gleichseitiges Dreieck.|
|//5//|07.01.2016, 14", 114x, [OIII], Bortle 1, SQM-L 21.84 Z, RDLM<br>Trotz intensiver Beobachtung bei 114 facher Vergrößerung und OIII nichts zu sehen. Leider stört an der Position ein schwacher Stern (Zentralsstern?). Dieser täuscht immer wieder einen Nebel vor, wie der Vergleich mit anderen gleich hellen Sternen zeigt.|
|''6''|27.08.2014 05:00 Uhr, 14", 114x, [OIII], Bortle 2, 21.6 Z, PDA <br>Bei 114 fach zeigt sich mit OIII ein recht großes  ganz zartes schwaches Glimmen. Kann nur hin und wieder aufblitzend beobachtet werden. Beobachtung kann nach einer Beobachtungspause wiederholt werden. Form rund. Sehr Schwer!<br>Bei 114 fach und OIII Filter zunächst nichts erkennbar. Erst nach langer geduldiger Beobachtung wird bei 114 fach ein diffuser Bogen an der richtigen Stelle sichtbar. Dann auch 90° versetzt. Bei 56 fach und OIII-Filter und maximaler AP ist schließlich ein kreisrunder sehr diffuser Nebel sichtbar. Manchmal habe ich den Eindruck, dass er zur Mitte hin dunkler wird. Letzteres ist aber unsicher. [[Zeichnung|Abell 6]]|
|''7''|06.01.2013, 14", 114x, [OIII], Bortle 1-2, 21.54 - 21.64 Z, PDA <br> Nach ewiger Sucherei mit POSS-Karte dann das Sternfeld identifiziert. Mit OIII nicht den Hauch eines Nebels gesehen. Galaxie MCG-3-1358 ebenfalls unsichtbar. <br><br>07.01.2013, 14", 114x, [OIII], Bortle 1-2, 21.53 - 21.67 Z, PDA <br> Neuer Versuch. Galaxie MCG-3-13-58 taucht blickweise als diffuse Aufhellung an der richtigen Stelle auf. Stern NW ist etwas leichter. Bleibt auch diese Nacht unsichtbar.<br><br>29.12.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Relativ schnell gefunden. Sternfeld zweifelsfrei identifiziert. Zunächst nichts zu sehen. Aber dann, nach mehrmaligem schauen mit unterschiedlichen Vergrößerungen, 56 und 114 fach mit OIII-Filter den hellsten hantelförmigen Nebel Teil als geisterhafte runde, strukturlose Aufhellung indirekt mehrfach aufblitzen sehen. Nicht ständig zu halten. Galaxie MCG-3-1358 bei 114 fach ohne Filter nach relativ kurzer Beobachtung indirekt blickweise immer wieder gesehen. Linsenförmig und relativ klein. Ist einfacher zu sehen als der Nebel selbst. Bin etwas überrascht über diese Tatsache. Vom restlichen riesigen Nebelgebiet konnte ich nichts weiter erkennen.<br><br>29.12.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA Relativ schnell gefunden. Sternfeld zweifelsfrei identifiziert. Zunächst nichts zu sehen. Aber dann, nach mehrmaligem schauen mit unterschiedlichen Vergrößerungen, 56 und 114 fach mit OIII-Filter den hellsten hantelförmigen Nebel Teil als geisterhafte runde, strukturlose Aufhellung indirekt mehrfach aufblitzen sehen. Nicht ständig zu halten. Galaxie MCG-3-1358 bei 114 fach ohne Filter nach relativ kurzer Beobachtung indirekt blickweise immer wieder gesehen. Linsenförmig und relativ klein. Ist einfacher zu sehen als der Nebel selbst. Bin etwas überrascht über diese Tatsache. Vom restlichen riesigen Nebelgebiet konnte ich nichts weiter erkennen.<br><br>16.03.2015 23:05, 14", 114x, [OIII], Bortle 1, SQM-L 21.65 Z, RDM<br>Riesiger Abell. Bei 56 fach und OIII tatsächlich im reichen Sternenfeld nur die beiden hellsten Nebelteile gesehen. Form unklar. Kleinerer Teil auf jeden Fall rund. Indirekt gut beobachtbar. Restliche Nebelgebiet im reichen Sternfeld nicht gesehen. [[Zeichnung|Abell 7]]|
|''8''|15.03.2015 21:55:00, 14", 114x, [OIII], Bortle 1, SQM-L 21.65 Z, RDLM<br>  Sitzt direkt auf einem schwachen Doppelstern auf. Doppelstern befindet sich aber im Nebel, genauer etwa am Rand. Kann nicht ständig gehalten werden. Nebel kommt und geht. Nach mehrmaligem intensivem Beobachten taucht er immer wieder auf. 114 fach und OIII. Schwer! [[Zeichnung|Abell 8]]|
|9|Nicht als PN anerkannt.|
|''10''|06.10.2013, 14", 114x, [UHC], Bortle 1-2, SQM-L 21.5-21.7 Z, RDLM <br>Überraschend einfach. Genau wie im Atlas beschrieben. Bei 180 fach und UHC-Filter sofort gesehen. Einfach aufzufinden. Kleiner runder Nebel. Typischer Abell, wenn auch recht klein. Kein Zentralstern. Ohne Filter auch zu sehen.|
|11|Nicht als PN anerkannt.|
|''12''|04.10.2013, 14", 180x, [OIII], Bortle 1-2, SQM-L 21.5 Z, RDLM <br> Am besten bei 180 fach sichtbar. Dann tritt ein relativ kleiner aber heller Nebel am Rand des Halos von µ-Orionis hervor.<br>28.11.2016, 14", 290x, [OIII], Bortle 3, SQM-L 21.5 Z, Wasserkuppe<br>Bei 290 fach wird der Ring eindeutig sichtbar. Mathias bestätigt.<br><br>[[30.01.2022|30. Januar 2022 - Athos Star Campus]], Teleskop: 25" f/3.2 Newton, Vergrößerung: 418x, Filter: OIII, Bedingungen: SQM-L 21.7, Ort: [[Athos Star Campus]], Seeing 2, Bereits bei Übersichtsvergrößerung (92x) bereits als runde, verdächtige Struktur im Halo von µ Orionis auszumachen. Optimale Vergrößerung ist 418x. Für eine gute Sichtbarkeit der Struktur ist ein Filter notwendig. UHC und OIII-Filter funktionieren beide gut, den optimalen Kontrast bringt allerdings der OIII-Filter. Vergrößere noch auf 617x, aber das ist zu viel. Bei 418x zeigt sich ein Rauchring, der im Südwesten etwas heller erscheint. Inneres ist ebenfalls mit diffusen Nebel gefüllt. Wunderschönes Objekt. SQM-L 21.44. [[Zeichnung|Abell 12]]|
|''13''|16.03.2015 23:50, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, RDLM<br>Sichelförmiger Nebel. Bei 114 fach und OIII-Filter blitzt er hin und wieder auf. Relativ gross. Heller Stern im Gesichtsfeld stört die Beobachtung doch sehr. Bei 56 fach nicht zu sehen. Sehr schwer.<br><br>13.05.2015 18:30, ''25"'', 180x, [OIII], Bortle 1, Tivoli Astrofarm<br>Bei 180 fach und OIII-Filter ist die schwache Sichel indirekt zu erahnen. Die Steigerung auf 280 fach und OIII-Filter bringt schließlich den Durchbruch. Der Nebel ist zwar indirekt nicht immer zu halten aber dennoch immer wieder eindeutig zu sehen. Gefährlich schwacher Stern südlich. Tatsächlich ist nur der nordwestliche Teil am besten beobachtbar. Vom restlichen Nebel leider keine Spur. [[Zeichnung|Abell 13]]|
|14|15.05.2015 19:05, ''25"'', 100-180x, [OIII], Bortle 1, SQM-L 21.76 Z, Tivoli Astrofarm<br> Zartes rundes bis ovales Glimmen um einen recht schwachen Stern. Kann indirekt mit OIII-Filter gut gehalten werden. Sogar ohne Filter indirekt zu erkennen. Überraschend einfach<br>__Anmerkung:__ Nach einem Hinweis und einer anschließenden Diskussion im Forum [[astrotreff.de|http://www.astrotreff.de/topic.asp?TOPIC_ID=183410]] muss diese Beobachtung sehr wahrscheinlich als Täuschung und die zugehörige Zeichnung als nicht real eingestuft werden. Offenbar haben schwache Sterne den Nebel nur vorgetäuscht. [[Zeichnung|Abell 14]]<br><br>03.01.2016, 14", 114x & 168x, [OIII], Bortle 1, SQM-L 21.6 Z, RDLM<br>Reiches Sternfeld. An der richtigen Position schimmert bei 114 fach und OIII-Filter ein kleines rundes Scheibchen. Bin aber schon mal einem Irrtum aufgesessen und deshalb wird der Filter rausgeschraubt. Und jetzt wird eine Sternengruppe von ca. 7-8 sehr schwachen, dicht stehenden Sternen sichtbar. Sehr schwach und bei Steigerung der Vergrößerung auf 168 fach werden die Sterne deutlicher sichtbar. In Sky Safari schnell die POSS-Karte geladen und Oh Schreck: Der ist zu winzig! Das geht nur mit höherer Vergrößerung. Aber 168 fach wird nochmal probiert. Nichts zu erkennen. Da muss noch stärker vergrößert werden. Dann wird aber alles in Dunkelheit absaufen. Das ist was für größere Teleskope.<br><br>[[18. & 19.09.2020|18. September 2020 - La Palma]], 25", 255x, [OIII], Bortle 1, SQM-L 21.8 Z, [[Athos Star Campus]]<br>An der richtigen Stelle wird mit OIII ein kleines, rundes Glimmen bei 255 fach sichtbar. An der Stelle steht leider auch ein schwacher Stern, der aber ohne Filter so schwach ist, dass er das Glimmen vermutlich nicht vortäuschen kann. Trotzdem bleibt die Beobachtung unsicher. Da muss ich morgen noch mal draufschauen. [[Zeichnung|Abell 14]]|
|''15''|29.12.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>Kurioserweise mit relativ hoher Vergrößerung (9 mm Okular bei 180 fach) aufgesucht und schnell gefunden. Zuvor habe ich damit den Kugelsternhaufen M79 im Sternbild Lepus beobachtet. Es zeigt sich nach längerer Beobachtung schließlich ein sehr kleiner runder Nebel ohne Zentralstern. Bildet mit zwei Sternen ein gleichseitiges Dreieck.<br><br>[[31.12.2017|31. Dezember 2016 - Pinar de Araceli]], 14", 114x, [OIII], Bortle 1-2, SQM-L 21.8 Z, Puerto de la Losa<br>Kann trotz des relativ tiefen Standes bis auf 290 fach vergrößert werden. Mit OIII zeigt sich dann ein runder Nebel, der sich indirekt gut halten lässt. ZS kann ebenfalls gesichtet werden. [[Zeichnung|Abell 15]]|
|''16''|16.03.2015 22:30, 14", 114x, [OIII], Bortle 1, SQM-L 21.5 -21.6 Z, RDLM<br>Bei 114 fach und OIII kleiner runder Nebel, der indirekt nicht ständig zu halten ist. Keine Strukturen und auch kein ZS sichtbar. In Randenähe sehr schwacher Stern. [[Zeichnung|Abell 16]]|
|17|Nicht als PN anerkannt.|
|''18''|08.01.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Nicht gefunden.<br><br>29.12.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Nach intensiver Beobachtung taucht indirekt ein kleiner runder Nebel ohne Zentralstern auf. Sehr schwach, kann nicht ständig gehalten werden. Blitzt aber immer wieder indirekt schwach auf. Ähnlich groß wie Abell 15.|
|''19''|05.01.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Bei 56 fach und OIII-Filter nicht zu erkennen. Bei 114 fach und OIII-Filter schließlich zeigt sich nach längerer intensiver Beobachtung ein zartes Glimmen um einen Stern. Keine Strukturen erkennbar. Indirekt nicht ständig zu halten. Typischer Abell.<br><br>19.04.2015, 14", 114x, [OIII], Bortle 2-3, SQM-L 21.53 Z, Rhön<br>Es zeigt sich bei 114 fach ein kleiner runder Nebel um einen schwächeren Stern. Überraschend einfach. Keine Strukturen. Kann indirekt recht gut gehalten werden. Bei 168 fach nur schwer zu erkennen. [[Zeichnung|Abell 19]]|
|''20''|08.01.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Kleiner runder Nebel. Ist größer als Abell 10 aber viel schwächer. Rund und diffus. Im Nebelgebiet zwei schwache Sterne mit OIII-Filter sichtbar.|
|''21''|29.12.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br> Medusa Nebel. Wahrscheinliche Doppelbeobachtung. Großer sichelförmiger Nebel. Im Inneren sind einige Sterne zu sehen. Der Nebel zeigt im Inneren Strukturen in Form von Knoten und helleren Filamenten. Ein Ende der Sichel ist deutlich heller. Sichelform nach außen scharf begrenzt. Habe diesen Nebel nicht intensiver beobachtet, da ich mir sicher war dass ich ihn bereits ausgiebig im letzten Oktober auf La Palma beobachtet hatte.|
|''22''|25.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, RDLM <br>Sehr schwacher Nebel um einen Stern. Helles Sternpaar weist den Weg. Bereits nach kurzer Beobachtungszeit wird das Glimmen sichtbar. Vergleich mit ähnlich hellen Sternen in der Umgebung zerstreut anfängliche Zweifel. Kann nicht ständig gehalten werden. Zunächst erscheint der Nebel rund. Nach intensiver Beobachtung zeigt sich der Nebel an verschiedenen Stellen unterschiedlich hell und diffus auslaufend. Genaue Form bleibt letztlich unklar. Beobachtung gestaltet sich insgesamt schwierig. <br><br>26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona <br>Abell 22: Leichter als gestern zu sehen. Wie gestern auch wirkt der Nebel unruhig. Form schwer zu fassen. Bei 168x und OIII-Filter ebenfalls sichtbar, aber keinesfalls besser.|
|''23''|15.03.2015 22:55:00 14", 114x, [OIII], Bortle 1-2, SQM-L 21.55 Z, RDLM<br>Ähnliche Größe und ähnlich schwer wie Abell 8. Bei 114 fach und OIII wird nach geduldiger Beobachtung ein schwaches, kleines, rundes Glimmen sichtbar. Kann nicht ständig gehalten werden. Kein ZS und keine Strukturen sichtbar. Einen Ticken einfacher als Abell 8. [[Zeichnung|Abell 23]]<br><br>13.05.2015 21:35 ''25"'', 180x, [OIII], Bortle 1, SQM-L 21.76, Tivoli Astrofarm<br>Bei 180 fach und 280 fach und OIII- Filter wird ein kleiner runder Nebel sichtbar. Am Besten bei 180 fach zu sehen. Kann indirekt nicht ständig gehalten werden. Südlich gefährlich schwacher visueller Doppelstern.[[Zeichnung mit 25 Zoll|Abell 23 mit 25 Zoll]]|
|''24''|26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona <br>Bei 114x und OIII-Filter zeigt sich ein zartes rundes Glimmen um einen sehr schwachen Stern. Nicht ständig zu halten.|
|''25''|26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona<br>Nichts zu sehen.<br><br>14.05.2015, ''25"'', 100x, [OIII], Bortle 1, SQM-L 21.76 Z, Tivoli Astrofarm<br>Schwaches, rundes Glimmen zwischen zwei Sternketten. Im Nebel selbst ist kein Zentralstern zu erkennen. Lediglich an seiner Nordwestseite beziehungsweise östlichen Seite sind zwei schwache Sterne erkennbar. Nur mit OIII-Filter und am Besten bei großer AP von 6.5 mm und hundertfacher Vergrößerung erkennbar. Bei 280 fach relativ schwierig. Bei hundertfach kann der Nebel indirekt gerade so gehalten werden. Nach langer und intensiver Beobachtung wirken vor allem die nordwestliche Flanke, sowie die südöstliche etwas heller, als der restliche Nebel. [[Zeichnung|Abell 25]]|
|''26''|11.05.2015 20:55 Uhr, ''25"'', 180x, [OIII], Bortle 1, Mit OIII-Filter wird ein kleiner runder, schwacher Nebel ohne Zentralstern sichtbar. Typischer Abell. Bei 180 fach kann er indirekt gerade so gehalten werden. Keine weiteren Strukturen erkennbar. [[Zeichnung|Abell 26]]|
|''27''|29.03.2014, 14", 114x, [OIII], Bortle 2, SQM-L 21.5 Z, RDLM <br> Glaube ein sehr schwaches Glimmen um einen sehr schwachen Stern auszumachen. Kann nur blickweise und nach intensiven Beobachten hin und wieder erahnt werden. Im und um Nebelgebiet sehr schwache gefährliche Sterne, die immer wieder einen nebligen Eindruck vortäuschen. Letztlich bin ich mir unsicher. Daher: Nicht gesehen!<br><br>18.03.2014 01:00, 14", 168x, [OIII], Bortle 1, SQM-L 21.65 Z, RDLM<br>Kleiner runder Nebel. Sternpaar weist den Weg. Bei 168 fach und OIII-Filter wird dann blickweise immer wieder der Nebel sichtbar. Kann indirekt nicht gehalten werden. Mittlerweile steht das Objekt auch sehr tief und die heftigen Windböen mit den kurzen Pausen lassen nur immer kurze Momente der Beobachtung zu. Schwer! [[Zeichnung|Abell 27]]<br><br>11.05.2015 21:50 Uhr, ''25"'', 180x, [OIII], Bortle 1, Bei 180 fach und OIII-Filter wird ein sehr schwacher, runder und recht kleiner Nebel ohne Zentralstern sichtbar. Keine weiteren Strukturen. Etwas schwieriger als der zuvor beobachtete Abell 26. [[Zeichnung|Abell 27 mit 25 Zoll]]|
|//28//|09.01.2016, 14", 114x, Bortle 1, SQM-L 21.65, RDLM<br>An der richtigen Stelle ist nach relativ kurzer Beobachtung (ca. 5 min) ein mittelgroßer runder Nebel zu sehen. Kann indirekt auch ganz gut gehalten werden. Deutlich größer als zuvor beobachteter Abell 83. SQM-L zeigt 21.65 in diesem Himmelsabschnitt an. Dann möchte ich mich an die Zeichnung machen. Ohne OIII, um die Sterne zu zeichnen. Oh Schreck. An der vermeintlichen Nebelposition kann man mit etwas Geduld ein schwaches rechtwinkliges Dreieck aus ganz schwachen Sternen sehen. Offenbar wurde der Nebel durch diese nur vorgetäuscht, da die exakte Position etwas daneben liegt.|
|''29''|08.01.2016, 14", 56x & 114x, Bortle 1, SQM-L 21.73, RDLM<br>Großer Nebel, der nur bei 65 fach und mit OIII sichtbar wird. Bei 114 fach nichts zu sehen. Es zeigt sich auch kein geschlossener runder Nebel, sondern zunächst nur ein leicht gebogener Balken in einem sternarmen Gebiet neben dem Zentrum. Weiter nichts zu sehen. POSS-Karte, bestätigt die Beobachtung, zeigt aber einen weiteren Balken auf der andere Seite an. Schwieriger zu sehen, da sich sehr schwache Sterne hier befinden. Aber in der Tat, ist zu erkennen. Insgesamt ist dieser Nebel einfacher als gedacht. Außer den beiden "Außenrändern" ist nichts zu sehen. [[Zeichnung|Abell 29]]|
|''30''|29.12.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Diffuses Glimmen um einen schwachen Stern. Typischer Abell. Bei 114 fach und OIII-Filter nichts zu sehen. Erfolg dann schließlich bei AP 5.6 und 56 facher Vergrößerung mit OIII-Filter.|
|''31''|29.12.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Bei 56 fach und OIII-Filter erscheint ein schwaches Glimmen um einen Stern. Bei genauer Beobachtung scheint dies auch ein "Doppelstern" zu sein. Im Nebelgebiet sind weitere sehr schwache Sterne zu erkennen. Nebel ist sehr groß und rund ohne Struktur. Scheint zum Zentrum hin heller zu werden. Relativ einfach zu sehen.|
|32|Nicht als PN anerkannt.|
|''33''|26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona<br>Rel. großer und relativ heller Nebel. Schon direkt bei 114x und OIII-Filter sichtbar. Mitte dunkler. Hellere Nebelkante im Westen mit hellerem Stern im Süden direkt auf der Nebelkante und weiteren schwächeren Stern westlich. Ohne Filter auch schwach erkennbar. Zentralstern nicht zu erkennen. Wunderbar. Bei 168x nicht mehr so schön!|
|''34''|26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona<br>Ähnlich groß wie Abell 33, aber viel schwächer. Rund und ohne Struktur. Am Besten bei 56x und OIII-Filter mit AP 5.6mm. Kein Zentralstern sichtbar.|
|''35''|26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona<br>Sehr großer schwacher und runder Nebel um hellen Stern. Dieser stört aufgrund seiner Helligkeit die Beobachtung. Im Nebel in Randnähe weiterer schwächerer Stern sichtbar. In der Nähe des ZS hellere längliche Strukturen erkennbar.|
|''36''|26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona<br> Ähnlich schön wie 35. Großer und diffuser auslaufender Nebel um relativ hellen Stern. Wirkt unruhig. Ovales längliches Dunkelband abseits der Mitte ist zu erkennen, dass in Nord/Süd Richtung verläuft.<br><br>28.01.2017, 14", 65x, [OIII], Bortle 1, RDLM<br>Schon bei 65 fach und UHC-Filter ist ein diffuser Nebel um einen rechten Stern zu sehen. Südlich des Sterns erstreckt sich ein halb kreisförmige Bogen, der nördlich des Sterns durch eine Gerade abgeschlossen wird. Zur Mitte hin dunkler und nach Norden hin diffus auslaufend. UHC-Filter funktioniert gut. OIII aber noch besser. [[Zeichnung|Abell 36]]|
|''37''|15.02.2015 02:33:51, 14", 114x, [OIII] & [UHC], Bortle 2-3 SQM-L 21.4 Z, Rhön bei Fladungen<br>Abell 37 =IC 972: Bei 114x und OIII klein und rund. Ohne Struktur. UHC zeigt den Nebel auch gut. Selbst bei 168x ohne Filter auch zu erkennen. Kein ZS.<br><br>15.03.2015 02:20:00,  14", 114x, [OIII], Bortle 2 SQM-L 21.55 Z, La Podona <br> Schon bei 56 fach als kleiner, runder Nebel im Übersichtsokular erkennbar. Sehr heller Abell ohne Struktur und ZS. Im Vergleich zur Beobachtung vor einem Monat, viel heller und Himmelshintergrund viel, viel dunkler.|
|''38''|09.08.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>Diesmal eindeutig die richtige Stelle... Aber nichts zu sehen. Das exakte Sternfeld gem. POSS, wie es im Deep Sky Beobachteratlas abgebildet habe ich trotzdem nicht identifizieren können.<br><br>26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona<br> Bei 114x und OIII-Filter ist an der richtigen Stelle leider nichts zu erkennen. Mir fehlt jetzt zu dieser späten Stunde die Geduld und so schaue ich nur kurz. Vom Nebel ist aber nichts zu erkennen.<br><br>29.03.2014, 14", 56x & 114x & 168x, [OIII], Bortle 2, SQM-L 21.5 Z, RDLM <br>Das Zielgebiet ist schnell gefunden. Nach langer Beobachtungszeit und Wechsel zwischen 56x und 114x und sogar Einsatz eines UHC-Filters zeigt sich bei 114x und OIII-Filter sich blickweise ein sehr schwacher Nebel direkt südlich eines relativ hellen Sterns. Das Nebelgebiet wird etwa durch zwei Sterne begrenzt, die mit dem helleren ein fast gleichseitiges Dreieck bilden. Der Nebel ist damit etwas größer als der zuvor beobachtete Abell 43, der im direkten Vergleich geradezu einfach gesehen werden kann. Es lag keine Detailkarte oder Fotografie vor, so dass ich eine kleine Skizze machte und diese später mit der POSS-Karte verglich. Größe und Ort stimmten mit dieser überein. Schwerster bisher gesehener Abell!<br><br>14.05.2015 01:25 Uhr, ''25"'', 180x, [OIII], Bortle 1, Tivoli Astrofarm<br>Rundes bis leicht ovales Glimmen südlich eines Doppelsterns. Kein Zentralstern. Nur bei 180 fach und OIII-Filter sichtbar. Kann indirekt nicht immer gehalten, aber immer wieder sicher gesehen werden. Nur mit genauer Karte auffindbar. Sehr schwieriges Sternfeld. Schwieriger als gedacht. [[Zeichnung|Abell 38]]|
|''39''|09.08.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>Ganz feiner, zarter, relativ großer runder Nebel bei 114x mit OIII-Filter sichtbar. Am Nebelrand ist ein Stern zu sehen und dies trotz des Filters. Zentraler Teil erscheint blickweise immer wieder dunkler als der Nebelrand. Nebelgebiet ist aber eindeutig heller als der Himmelshintergrund. Bei 56x mit OIII-Filter besser zu erkennen. Beobachtung ist insgesamt schwierig, fast schon grenzwertig.<br><br>26.03.2014, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, La Podona<br> Ewig wg. richtiger Position rumgesucht. Dann mit Starhopping gefunden. Echtes Highlight zum Abschluss. Bei 114x und OIII-Filter zeigt sich ein kreisrunder relativ einfach zu erkennender Nebel. Mitte erscheint nach kurzer Zeit immer wieder dunkler, so dass sich eine Ringform zeigt. Auf dem Nebelrand ist ein Stern zu erkennen. Blickweise zeigen sich mit Filter immer wieder schwache Sterne im Nebelgebiet. Zentralstern ist aber nicht zu erkennen.|
|''40''|11.05.2015 23:35 Uhr, ''25"'', 180x, [OIII], Bortle 1, SQM-L 21.67 Z, Tivoli Astrofarm<br>Kleiner runder Nebel in der Nähe eines schwachen Sterns, der aber nur ohne Filter sichtbar ist. Der Nebel wird bei 180 fach und OIII-Filter sichtbar. Kann indirekt auch leicht gehalten werden. [[Zeichnung|Abell 40]]|
|''41''|27.08.2014 01:10 MESZ, 14", 114x, [UHC], Bortle 2, SQM-L 21.5-21.6 Z, PDA<br>Nach sehr langer und intensiver Beobachtung bei 114 fach und UHC-Filter zeigt sich zunächst nichts eindeutiges. Bei weiterer Steigerung der Vergrösserung auf 168 fach wird das Bild dunkler und ruhiger. Jetzt blitzt hin und wieder, aber wiederholt, an der richtigen Stelle ein kleiner runder Nebel zusammen mit einem sehr schwachen Stern auf. Genaue Position des Sterns zum Nebel nicht genau erkennbar. Letztlich brachte die stärkere Vergrösserung den Erfolg und der sehr nützliche Hinweis auf den UHC anstatt OIII. OIII-Filter nicht mehr versucht. Schwer!|
|''42''|10.06.2019, 25", 114x, [OIII], Bortle 1, SQM-L 21.96 Z, Tivoli Astrofarm<br>Bei 114 fach und OIII wird an der korrekten Position ein runder, sehr schwacher Nebel sichtbar. Indirekt nicht zu halten. Blitzt aber immer wieder - auch für längere Phasen - sicher auf. Kontrolle im Sternfeld zeigt an der Position keinen Stern der fälschlicherweise das Glimmen nur vortäuschen könnte. Größe geschätzt etwa eine Bogenminute, was sich im Nachhinein neben der korrekten Position als richtig herausgestellt hat. Das Glimmen scheint am nördlichen Rand etwas heller zu sein. Bleibt aber Spekulation. Schwer! [[Zeichnung|Abell 42]]|
|''43''|25.08.2014 01:00 Uhr, 14", 56x & 114x & 168x, [OIII], Bortle 2, SQM-L 21.5 Z, PDA<br>Bereits bei 56x im Übersichtsokular ohne Filter zeigt sich ein relativ kleiner Nebel. Typischer Abell. Bei 114x und OIII-Filter sogar direkt zu sehen. Erinnert mich ein bisschen an Abell 2. Im Nebel blitzen ca. drei schwache Sterne auf, die ein kleines gleichschenkliges Dreieck bilden. Bei 168x und OIII-Filter zeigen sich keine weiteren Strukturen.|
|''44''|25.08.2014 01:40 Uhr, 14", 56x & 114x & 168x, [OIII], Bortle 2, SQM-L 21.5 Z, PDA<br>Ganz schwaches Glimmen um einen sehr schwachen Stern. Der Stern steht aber nicht mittig. Nur hin und wieder aufblitzend aber reproduzierbar. Nur mit genauer Karte auffindbar. 114 fach und OIII. Schwer!|
|//45//|27.08.2014 0:15 MESZ, 14", 114x, [OIII], Bortle 2, SQM-L 21.5 -21.6 Z, PDA<br>Bei 114 fach und auch bei 56 fach und OIII zeigt sich nach geduldiger Beobachtung nichts.<br><br>19.05.2015 2:35 Uhr, ''25"'', 180x, [OIII], Bortle 1, SQM-L 21.76 Z, Tivoli Astrofarm<br>Trotz über einer Stunde intensiver Beobachtung, 25 Zoll Öffnung und bester Durchsicht, dazu dunklen und perfekten Standort (Namibia) sowie der Verwendung unterschiedlicher Vergrößerungen von hundertfach und 280 fach jeweils mit OIII-Filter konnte ich nichts eindeutiges erkennen. Zunächst viel Zeit mit dem Aufsuchen verbracht, da reiches Sternfeld. Auch Durchschwenken bei minimaler Vergrößerung hat zu keinem Erfolg geführt. Nur OIII-Filter versucht.|
|''46''|16.05.2015 1:15 Uhr, ''25"'', 180x, [OIII], Bortle 1, SQM-L 21.76 Z, Tivoli Astrofarm<br>Klein, rund und diffus. In der Mitte ist ein Zentralstern zu sehen und das trotz des OIII-Filters bei 114 facher Vergrößerung. Nebel ist ohne Filter bei 114 facher Vergrößerung ganz schwach zu erkennen. Sogar bei 180 facher Vergrößerung (AP 2 mm), wenn auch deutlich schwieriger.|
|''47''|16.05.2015 1:15 Uhr, ''25"'', 180x, [OIII], Bortle 1, SQM-L 21.76 Z, Tivoli Astrofarm<br>Relativ einfach aufzufinden. Befindet sich in der Nähe der Scutum Sternenwolke. Bei 180 fach und OIII-Filter wird indirekt immer wieder aufblitzend ein sehr kleiner runder Nebel sichtbar. Kein Zentralstern sichtbar, auch ohne Filter nicht. Trotz exzellenter Bedingungen und 25 Zoll Öffnung gestaltet sich die Sichtung sehr schwierig! Kann aber wiederholt nach mehreren Pausen erneut gesichtet werden. [[Zeichnung|Abell 47]]|
|''48''|26.08.2014 02:15 MESZ, 14", 114x, [OIII], Bortle 2, SQM-L 21.5 -21.6 Z, PDA<br>Trotz intensivster und langer Beobachtung zeigt sich bei 114 fach und OIII nichts.<br><br>16.05.2015 3:25 Uhr, ''25"'', 180x, [OIII], Bortle 1, SQM-L 21.76 Z, Tivoli Astrofarm<br>Befindet sich in direkter Nachbarschaft zu Abell 47. Sehr kleiner runder Nebel, der indirekt nur hin und wieder bei 180 facher Vergrößerung und OIII-Filter aufblitzt, aber das zuverlässig. Auch nach mehreren Pausen kann er immer wieder aufgespürt werden. Reiches Sternfeld erschwert das Auffinden. Im direkten Vergleich mit Abell 47 scheint dieser hier tatsächlich etwas einfacher zu sein. [[Zeichnung|Abell 48]]|
|''49''|27.08.2014 01:10 MESZ, 14", 114x, [OIII], Bortle 2, SQM-L 21.5 -21.6 Z, PDA<br>Sehr kleiner runder Abell. Liegt in der Nähe von M11. Bei 114 fach und OIII erscheint indirekt ein kleiner runder strukturloser Nebel. Dreiergruppe aus Sternen südlich nicht mit Nebel verwechselt. Bei 168 fach und OIII auch noch sichtbar, aber deutlich schwieriger. Es werden auch keine weiteren Details sichtbar. Überraschend einfach!|
|''50''|Abell 50 = NGC 6742, 24.08.2014 0:30 Uhr, 14", 430x, Bortle 2, PDA<br>Runder relativ heller homogener Nebel. Im und vor allem am Rand tauchen indirekt immer wieder schwache Sterne auf. ZS nicht gesehen. Reagiert kaum auf OIII oder UHC. Beste Sicht bei 430 fach ohne Filter.|
|''51''|27.08.2014 23:00 MESZ, 14", 114x, [OIII], Bortle 2, SQM-L 21.5 -21.6 Z, PDA<br>Kleiner runder scharf begrenzter Nebel. Typischer Abell. Recht schwierig aufzufinden, da reiches Sternfeld. Kann bei 114 fach und OIII indirekt leicht gehalten werden. Ist selbst ohne OIII schwach sichtbar. Jetzt kann ein schwacher ZS in dessen Mitte ausgemacht werden!|
|''53''|27.08.2014 23:35 MESZ, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>Kleiner runder, homogener, diffuser Nebel. Bei 114 fach kann er indirekt nicht ständig gehalten werden, ist aber dennoch sicher beobachtbar. Ohne Filter zeigt sich kein ZS. Deutlich schwerer als direkt zuvor beobachteter Abell 51.|
|''55''|07.08.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>In der Nähe eines hellen Sterns, daher einfach aufzufinden. Mit OIII-Filter bei 56x direkt gefunden. Kleiner ovaler Nebel bei 114x und OIII-Filter. Keine Strukturen erkennbar.|
|''56''|19.08.2015 03:30 Uhr, 14", 56 & 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, PDA<br>Leider nichts definitives zu sehen. Nebel wird von relativ hellen Sternen eingerahmt, welche die Beobachtung stören.<br><br>19.08.2015, 14", 56 & 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>Nach positiver Sichtung von Abell 59 nochmal eingestellt. Recht großes, rundes Glimmen. Blitzt nur hin und wieder indirekt auf.  Sehr schwer! [[Zeichnung|Abell 56]]|
|''57''|06.10.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5-21.7 Z, RDLM<br>Nicht gesehen!<br><br>26.08.2014 03:10 MESZ, 14", 114x, [OIII], Bortle 2, SQM-L 21.6 Z, PDA <br>Sehr kleiner Abell. Bei 114 fach und OIII kann er indirekt ständig gehalten werden. Bei 168 fach zeigen sich keine weiteren Details, auch keine Sterne sind im Nebelgebiet zu sehen. Nebel steht direkt neben einem recht hellen Stern.|
|''59''|19.08.2015 01:30 Uhr, 14", 56 & 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, PDA<br>Runder Nebel, der mit OIII bei 114 fach immer wieder kurz aufblitzt. Sichere Beobachtung, da das Objekt auch nach Pausen wieder sicher erkannt werden kann. Keine weiteren Strukturen, auch kein ZS. 21.63 Z. [[Zeichnung|Abell 59]]|
|''60''|23.08.2014 02:20 MESZ, 14", 114x, [OIII], Bortle 2, SQM-L 21.6 Z, PDA <br>Zunächst per Starhopping versucht. Wieder wie gestern abgebrochen, da zu schwierig. Feld positioniert und anschließend bei 114 fach mit OIII. Interessanterweise fiel mir nach relativ kurzer Zeit eine kleine Sternengruppe auf 3-4 Sternen auf von denen drei recht gut indirekt zu sehen waren und etwa nord-südlich verliefen. Irgendwie scheinen diese Sterne von einen sehr schwachen Nebel umgeben zu sein der auch immer wieder aufblitzte. Vergleichsbeobachtungen an ähnlich hellen Sternengruppen bestätigten dies. Lediglich das genaue Sternfeld konnte zunächst nicht identifiziert werden. Dies gelingt dann aber anhand der Vergleichskarte. Position des identifizierten Nebels passt genau zur Kartenposition.|
|''61''|10.08.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.6 Z, PDA <br>An der richtigen Stelle taucht jetzt ein runder sehr schwacher Nebel ohne irgendwelche Strukturen auf. Kann aber indirekt sicher gehalten werden. Im Nebelgebiet sind keine Sterne sichtbar, so dass eine Überstrahlung durch einen Stern ausgeschlossen werden kann. Deutlich kleiner als Jones 1. Am Nebelrand rel. heller Stern sichtbar. Nach notieren dieser Zeilen, nochmal geschaut. Eindeutig, wenn auch sehr schwierig.|
|''63''|04.10.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 Z, RDLM<br>Nichts gesehen!<br><br>06.10.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5-21.7 Z, RDLM <br> Nicht gesehen!<br><br>22.08.2014 01:20 MESZ, 14", 114-168x, [OIII], Bortle 1-2, SQM-L 21.5 Z, PDA<br>Sehr kleiner runder Nebel, der bei 114 fach und OIII indirekt nicht ständig zu halten ist. Trotzdem sichere Beobachtung, da mehrfach mit Pausen sichtbar ist. In der Mitte blitzt immer wieder ein Stern trotz des Filters auf.|
|''64''|24.08.2014 03:40 MESZ, 14", 114, [OIII], Bortle 2, SQM-L 21.5 Z, PDA<br> Abell 64 = PGC 63630: Bei 114 fach zeigt sich ein kleiner runder Nebel. Wenn man weiss wo man hinschauen muss, dann recht einfach zu sehen. Sieht wirklich wie ein PN aus, ist aber eine Galaxie.|
|''65''|07.08.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Ovaler Nebel. Kein Zentralstern sichtbar. Relativ einfach mit OIII-Filter zu sehen. Indirekt auch ohne Filter sichtbar. Selbst bei AP 5.6 noch.|
|''66''|22.08.2014 01:20 MESZ, 14", 114-168x, [OIII], Bortle 1-2, SQM-L 21.5 Z, PDA<br>Grosser runder Nebel. Nur indirekt bei 114 fach und OIII sichtbar. Nicht  ständig zu halten, aber dennoch eindeutig. Im Nebelgebiet sind trotz OIII einige Sterne zu erkennen. Die meisten sind sehr schwach, aber einer ist mit ca. 12 mag deutlich heller und gut zu erkennen. Er ist aber nicht der Zentralstern, sondern liegt etwa 3/4 vom Radius in östlicher Richtung im Nebelgebiet. Bei 168 fach und OIII ist der Nebel nur zu erahnen. Ohne Filter wird der Zentralstern auch nicht sichtbar. 21.48 PV.|
|''67''|24.08.2014 01:35 MESZ, 14", 114x, [OIII], Bortle 2, SQM-L 21.5 Z, PDA<br>Bei 114 fach zeigt sich ein strukturloses Nebelscheibchen. Kann nicht ständig gehalten werden. Dennoch eindeutig. Bei 56 fach und OIII auch nicht einfacher. Das reiche Sternfeld stört die Beobachtung. Schwieriger als erwartet.|
|''68''|19.05.2015 4:00 Uhr, ''25"'', 180x, [OIII], Bortle 1, Tivoli Astrofarm<br>Sehr kleiner, runder scharf begrenzter Nebel. Befindet sich in direkter Nachbarschaft zum berühmten planetarischen Nebel M27. Nach wenigen Sekunden taucht der Nebel bei 180 facher Vergrößerung und OIII-Filter auf. Ein Passant und Novize in Sachen Abell Beobachtungen bestätigt die Sichtung. Überraschend einfach! [[Zeichnung|Abell 68]]|
|''69''|19.05.2015 4:50 Uhr, ''25"'', 180x, [OIII], Bortle 1, Tivoli Astrofarm<br>Klein, rund und ohne Zentralstern und irgendwelche Struktur. Sehr schwerer Abell, der nur hin und wieder bei 180 fach aufblitzt. Viel schwerer als zuvor beobachteter Abell 68. [[Zeichnung|Abell 69]]|
|''70''|03.10.2013, 14", 114x, [OIII], Bortle 1-2, 21.52 Z, RDLM <br> Bei 114 fach und OIII-Filter zeigt sich ein kleiner runder relativ heller Nebel. Ohne Filter ebenfalls schwach sichtbar. Am Rand ist eine helle Verdichtung immer wieder indirekt sichtbar. Das muss die Galaxie sein. Beim Okularwechsel dann das Objekt leider wieder verloren. <br><br>04.10.2013, 14", 114-230x, [OIII] und ohne Filter, Bortle 1-2, 21.66 Z, RDLM <br> Nachschau Abell 70: wie gestern auch sofort bei 114 fach und OIII-Filter gesehen. Heute aber intensivere Beobachtung ohne Filter: Bei 114 fach sind blickweise zwei Sterne im beziehungsweise am Rand des Nebels sichtbar. Bei 180 fach dann die Überraschung: nur einer der beiden liegt auf dem Nebelrand. Ihm direkt gegenüber liegt ein anderer der eindeutig außerhalb des Nebels liegt. Er ist etwa zwei Nebeldurchmesser vom Zentrum des Nebels entfernt. Darüber hinaus taucht ein weiterer Stern auf. Zusammen bilden Sie ein schiefes Dreieck. Um die Vergrößerung noch mal zu steigern, kommt das Pentax O-7 (230x) mm zum Einsatz. Weitere schwache Sterne tauchen Blickweise auf. Die Galaxie ist jetzt auch immer wieder eindeutig als flächenhaftes Objekt auf dem Nebelrand erkennbar. Die Sterne hingegen sind eindeutig punktförmig. Im und auf dem Ring können abgesehen von der Galaxie keine weiteren Strukturen ausgemacht werden.<br><br>24.05.2015 04:00 Uhr, ''25"'', 180x, [OIII], Bortle 1, Tivoli Astrofarm<br>Bei 100 facher Vergrößerung und maximaler AP wird Abell 70 als kleiner, runder Nebel sichtbar mit einer Aufhellung am nördlichen Rand. Bei Steigerung der Vergrößerung auf 180 fach und OIII-Filter zeigt sich ein homogener Ring. Ohne Filter ist der Nebel als Ring auch gut zu erkennen. Deshalb beschließe ich ihn wieder wegzulassen. Jetzt entpuppt sich die Aufhellung als kleines spindelförmiges Objekt, was sogar heller als der Nebel selbst ist. Weitere Steigerung der Vergrößerung auf 280 fach beziehungsweise 320 fach ist der Ring weiterhin gut erkennbar und das Objekt am Nordrand entpuppt sich einwandfrei als kleine Galaxie. Es ist sogar eine leichte Helligkeitszunahme zum Zentrum hin zu erkennen. Sowie ein kleiner Bulge. Faszinierendes Objekt! [[Zeichnung|Abell 70]]|
|''71''|07.10.2013, 14", 56x, [OIII], Bortle 1-2, SQM-L 21.5 -21.7 Z, RDLM <br> Großer runder, extrem schwer zu fassender Nebel. Jetzt endlich mit OIII und bei 56 facher Vergrößerung bei maximaler AP gefunden.|
|''72''|07.10.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.7 Z, RDLM <br>Einfach aufzufinden. Direkt neben hellen Stern. Deshalb auch zunächst an einen Überstrahlungseffekt geglaubt. Beim genauen Hinschauen fällt aber ein großer heller runder Nebel ohne Struktur auf. Sehr leichter Abell. Wunderschön! Vier weitere Sterne im Nebel und hauptsächlich am Rand sichtbar. Ohne Filter auch ganz schwach zu sehen. Besser im 9 mm, d.h. bei 180 fach, da Kontrast besser. Beobachtung ohne Filter bleibt trotzdem schwierig, da im reichen Milchstraßenfeld. Im Nebel tauchen weitere 3-4 schwache Sterne auf, insbesondere einer in der Mitte.<br><br>24.05.2015 04:00 Uhr, ''25"'', 180x, [OIII], Bortle 1, Tivoli Astrofarm<br>Wunderbar im 25 Zöller. Der Nebel wird mit OIII-Filter bei hundertfacher Vergrößerung einfach sichtbar. Bei geduldiger Beobachtung und ab 180 facher Vergrößerung scheint das Innere dunkler zu sein, so dass sich ein Ring zeigt. Die Galaxie zeigt sich am besten bei 280 facher Vergrößerung außerhalb des Nebels in der Nähe eines schwachen Doppelsterns. Passant bestätigt die Sichtung der Galaxie und deren Orientierung. [[Zeichnung|Abell 72]]|
|''73''|02.01.2016, 14", 114x, [OIII], Bortle 1, RDLM, SQM-L 21.4 Z<br>Runder Nebel, der mit zwei Sternen im angrenzenden Sternfeld ein rechtwinkliges Dreieck bildet. Mittelgroß. Ähnlich wie Abell 80 gestern. Nordöstlich ein schwacher Stern. Dieser verschwindet mit OIII. Bei 114 fach und OIII kann der Nebel an der richtigen Position indirekt gesehen werden. Kann nicht ganz gehalten werden. Einfacher als Abell 80. [[Zeichnung|Abell 73]]|
|''74''|27.08.2014 04:45 MESZ, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 Z, PDA<br>Ab und zu wird ein diffuses, sehr großes Glimmen um einen Stern bei 56 facher Vergrösserung und OIII sichtbar. Im potenziellen Nebelgebiet sind viele weitere schwache Sterne zu sehen, welche die Beobachtung stören. Nach intensiven Vergleichsbeobachtungen angrenzender Sternfelder und mehrerer Pausen, ist die Beobachtung wiederholbar und deshalb sicher. Bei 114 fach ist die Hintergrundgalaxie MCG+4-50-4 gut und ganz sicher erkennen.|
|''75''|27.08.2014 04:09 MESZ, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 Z, PDA<br>Abell 75=NGC 7076: Kleiner runder Nebel um einen Stern. Der Nebel wird winzig klein schon im Übersichtsokular bei 56 fach sichtbar. Bei 114 fach bzw. 168 fach zeigt sich eine kaum merkbare Helligkeitszunahme zum Zentrum hin. Keine Strukturen erkennbar. Nebel ist aber scharf abgegrenzt. Bei 300 fach wird neben dem ZS ein weiterer schwacher Stern im Nebelgebiet sichtbar. Nebel reagiert am Besten auf UHC nicht OIII. Im OIII verschwindet der ZS. Bester Anblick insgesamt aber ohne Filter.|
|''76''|27.08.2014 04:25 MESZ, 14", 114x, Bortle 1-2, SQM-L 21.5 Z, PDA<br>Abell 76=PGC 85185: Winziger runder Nebel. Etwa 30" groß zeigt sich bei indirekter Beobachtung die Galaxie ohne Filter bei 114 fach. Mit OIII verschwindet sie. Bei 168 fach auch noch gerade so zu erkennen. Form rund bis leicht oval. Schwer zu erkennen.|
|''77''|28.09.2014 00:05 MESZ, 14", 114x, Bortle 3-4, SQM-L 21.2 Z, Rhön bei Fladungen<br>Abell 77 = Sh 2-128: Kleiner runder Nebel, der gut auf OIII reagiert. Am Besten bei 114 fach und OIII. Ohne Filter auch zu sehen. Dann wird der ZS sichtbar und der Nebel läuft diffuser aus.|
|''78''|27.08.2014 03:35 MESZ, 14", 114x, Bortle 1-2, SQM-L 21.5 Z, PDA<br>Mittelgrosser, diffuser und leicht ovaler Nebel, in der Mitte der Verbindungslinie von zwei hellen Sternen. Zentralstern ist recht einfach zu sehen. Bei 114 fach und OIII bester Anblick. Bei 168 fach säuft er ab. Keine weiteren Details gesehen.|
|''79''|04.10.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 Z, RDLM<br>Nichts gesehen, trotz offensichtlich richtiger Stelle.<br><br>27.08.2014 05:15 MESZ, 14", 114x, [OIII], Bortle 2, SQM-L 21.5 Z, PDA<br>Relativ kleiner runder Nebel um einen sehr schwachen Stern. Bei 114 fach und OIII zeigt sich der Nebel sofort bei indirekter Beobachtung. Bei 168 fach erscheint dann schliesslich auch der ZS.|
|''80''|01.01.2016, 14", 114x, [OIII], Bortle 1, RDLM<br>Mit OIII-Filter wird bei 114 facher Vergrößerung ein kleiner, runder Nebel direkt an einem Stern sichtbar. Kann indirekt nicht ständig gehalten werden. Taucht aber sicher immer wieder auf. Ist zwar recht schwerer Abell, aber nicht einer der schwersten.|
|''81''|27.09.2014 22:40 MESZ, 14", 114x, Bortle 3-4, SQM-L 21.16 Z, Rhön bei Fladungen<br>Abell 81 = IC 1454: Kleiner runder heller Nebel. Schon bei 56 fach ohne Filter erkennbar. Am Besten bei 290 fach. Reagiert gut auf OIII. Aber bei allen Vergrößerungen auch ohne Filter gut erkennbar. Ohne Filter diffus auslaufend. Mit hingegen scharf abgegrenzt. Kein ZS. Nordöstlich Sternenpaar erkennbar. Liegt nur knapp außerhalb des Nebels.|
|''82''|08.01.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>Ewig bzgl. der richtigen Positionierung des Dobson rumgemacht. Dann mit OIII und indirektem Sehen aufgespürt. Anhand POSS-Karte anschließend zweifelsfrei das Sternfeld und Nebelposition identifiziert. Zartes Glimmen um einen Stern. Schwierig!<br><br>04.10.2013, 14", 56-114x, [OIII], Bortle 1-2, SQM-L 21.52 Z, PDA<br>Schwaches Glimmen um einen Stern. Bei 56 fach und OIII-Filter relativ groß und rund. Zwei Sterne trotz Filter im Nebel sichtbar. Bei 114 fach keine Strukturen sichtbar. Nebel ist sogar ohne Filter schwach zu sehen.|
|''83''|10.01.2016, 14", 65x & 114x, [OIII], Bortle 1, SQM-L 21.65, RDLM<br>Bei 114 fach und OIII-Filter wird ein kleiner, runder Nebel sichtbar. Nordöstlich schwache Sternenkette. Diese aber nicht mit dem Nebel verwechselt. Kann indirekt nicht gehalten werden. Blitzt aber sicher auf immer wieder auf. [[Zeichnung|Abell 83]]|
|''84''|08.01.2013, 14", 114x, [OIII], Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA <br>Nach akribischer Sucherei mittels Karte gefunden und anschließend sofort indirekt gesehen. Zartes Glimmen um einen Stern. Nach einer Weile bemerke ich, dass der Stern nicht im Zentrum steht, sondern etwas abseits. Kein Zentralstern mit OIII sichtbar. Westlich zwei schwache Sterne. Ohne OIII verschwindet der Nebel vollständig. Insgesamt recht schwerer PN. Mit Abell 84 habe ich insgesamt 1.5 h verbracht. Das meiste war die Aufsucherei.|
|''86''|10.01.2016, 14", 65x & 114x, [OIII], Bortle 1, RDLM<br>Typischer Abell. Es zeigt sich bei 114 facher Vergrößerung an der richtigen Position ein runder Nebel. Mittelgroß für einen Abell. Kann indirekt nicht gehalten werden, sondern blitzt lediglich hin und wieder auf. Versuche auch geringere Vergrößerung von 65 fach. Ist auch zu sehen. Aber insgesamt scheint die 114 fache Vergrößerung trotzdem besser zu sein, da der Kontrast zum Himmelshintergrund besser ist und das Objekt besser zu sehen ist. Schwer! [[Zeichnung|Abell 86]]|


Glossar:<br>
PDA - Pinar de Araceli (1700 üNN)<br>
RDLM - Roque de los Muchachos (2300m üNN) <br>
La Podona - (1000m üNN)<br>
Z - Zenit
PV - Pegasus Viereck

Objekt: Preite Martínez 1-333, Teleskop: 14" f/4.6 Newton, Vergrößerung: __168x__, 290x, Filter: [OIII], Ort: [[Pinar de Araceli (PDA)]], Zeitpunkt: [[22.06.2023|21. Juni 2023 - Pinar de Araceli]], Seeing 1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/3v294Mt3QC" title="Preite Martinez 1-333"><img src="https://live.staticflickr.com/65535/53049968118_2023377cf7_h.jpg" alt="Preite Martinez 1-333"/></a>

Mein erstes ernsthaftes Beobachtungsprojekt ist der Abell Katalog der planetarischen Nebel (PN)

!!Beobachtungsprojekte

<ul><$list filter="[tag[Projekte]!tag[Astrofotografie]]"><li><$link to={{!!title}}><$view field="title"/></$link></li></$list></ul>

!!Astrofotografie

Früher habe ich auch Astrofotografie betrieben.

*[[Fotos|Astrofotografie]]

Objekt: Purgarthofer 1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter: OIII, Bedingungen: SQM-L 21.6, Ort: RDLM, Zeitpunkt: 04.01.2016

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/25020692776/in/datetaken/" title="Purgarthofer1"><img src="https://farm2.staticflickr.com/1584/25020692776_a390c14184_o.jpg" alt="Purgarthofer1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24416410254/in/datetaken/]]

Objekt: ~PuWe 1, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114, Filter: OIII, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 15.03.2015 22:30

<a href="https://www.flickr.com/photos/106029581@N02/16318235553" title="PuWe1 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8694/16318235553_452fdcaea0_z.jpg" alt="PuWe1"></a>

Objekt: RCW 34, Teleskop: 25" f/4 Newton, Vergrößerung: 278x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[26.06.2022|26. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/xhbLjwS178" title="RCW 34"><img src="https://live.staticflickr.com/65535/52306145416_cc099229a3_c.jpg" alt="RCW 34"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52306145421/in/photostream/]]

Objekt: RCW 86, Teleskop: 25" f/4 Newton, 
Vergrößerung: 278x, Filter:OIII, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[02.07.2022|02. Juli 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/iU5fh0wMZ0" title="NGC 6164/65"><img src="https://live.staticflickr.com/65535/52504573704_f2b345c6b3_h.jpg" alt="NGC 6164/65"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52504572004/in/photostream/]]

![[Index - Reflexionsnebel]]

Dies sind [[Galaktische Nebel]], die das Licht umliegender Sterne reflektieren bzw. streuen. Sie lassen sich ohne Filter am Besten beobachten.

!!''__Messier__'' > NGC > IC > Misc

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<$reveal type="nomatch" state="$:/state/GetCardo/advanced" text="show5">

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<$button set="$:/state/GetCardo/advanced" setTo="hide">Zuklappen...</$button>

!!Messier > ''__NGC__'' > IC > Misc

<div class="tc-link-info">

<$list filter="[tag[Zeichnung]] +[tag[Reflexionsnebel]] +[prefix[NGC]]">

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!!Messier > NGC > ''__IC__'' > Misc

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!!Messier > NGC > IC > ''__Misc__''

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Zur Ruhe, dazu kommt auch jeder Hobbyastronom einmal. Ich beobachte häufiger wie dann die warme Stube den rauen mitunter kalten Beobachtungsplätzen vorgezogen wird. Es wird doziert über die eigenen Beobachtungserlebnisse und die jeweiligen Gewissheiten. 😉
Häufig werden dann auch Sternwarten oder allgemein solche Orte aufgesucht, die vormals zur Gewinnung astronomischer Erkenntnisse dienten. So wandle auch ich auf diesen Pfaden und besuche im Rahmen einer Berlinreise (natürlich zum Vollmond) die Archenhold-Sternwarte und das Zeiss-Großplanetarium.

!Archenhold Sternwarte

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/383dSY" title="Archenhold-Sternwarte"><img src="https://live.staticflickr.com/65535/48899158386_6e2be05043_k.jpg" alt="Archenhold-Sternwarte"></a>

Bin tatsächlich das erste Mal hier. Versteckt am Park- bzw. Waldrand. Das Riesenteleskop ist schon direkt zu erkennen, da es auf dem Dach „liegt“.

Im Gebäude selbst ist erstmal nix zu sehen außer einer schönen Dauerausstellung. In der Mitte dann, quasi im Hof, ragt aus einem Steinsockel zunächst die mächtige Montierung und schließlich dann auch der Teleskoptubus empor. In sehr gutem Zustand er ist, denn von Rost, den man auf älteren Fotos sehen kann, ist nichts zu erkennen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/x2p68R" title="Untitled"><img src="https://live.staticflickr.com/65535/48904567036_a8de893ec3_k.jpg"></a>

Leider habe ich gerade eine Führung verpasst, denn als ich eintreffe bewegt sich das Teleskop. Zugang ist jetzt aber nicht mehr möglich. Erst später, wenn sie vorbei ist. 

Allein stehe ich dann auf dem Dach und betrachte das gewaltige Gerät. Hier gibt es ein kleines Video dazu.

<div style="font-size:0.7em;text-align:center;margin-top:2em;margin-bottom:2em;">
<<list-thumbnails filter:"[tag[Oktober 2019]]" width:"168" height:"95">>
</div>

Um die Sternwarte herum sind weitere kleinere Kuppeln zu erkennen. Im Park selbst und auf dem Dach direkt neben dem Riesenrefraktor.
Anschließend wird es dunkel und ich genieße eine kurze Führung durch die Ausstellung und zum aktuellen Sternhimmel über Berlin im angeschlossenen Kleinplanetarium. Beeindruckend der Himmel trotz des kleinen Geräts. 

!Zeiss-Großplanetarium

<div class="tc-link-info-item-flex" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/gzgJ63" title="Zeiss-Großplanetarium"><img src="https://live.staticflickr.com/65535/48899111326_240806f0b6_h.jpg" alt="Zeiss-Großplanetarium"></a>Das Zeiss-Großplanetarium in Berlin.</div>

War vor bald 15 Jahren hier das letzte Mal. Großes Gebäude. Ich habe auch hier die Vorstellung zum aktuellen Himmel gebucht. Denn Filme brauche ich im Planetarium nicht zu sehen. 
Der Projektor ist nochmal beeindruckender und die Abbildung auch. Die hellen Sterne zeigen Farben und szintillieren wie bei echtem schlechten Seeing. Die Milchstraße ist hell und detailreich und wirkt echt. Lediglich eine Ticken zu hell würde ich sagen oder perfekt, wenn die südliche Milchstraße in dieser Helligkeit gezeigt werden würde. Trotzdem absolut beeindruckend.

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Ein Besuch der sich gelohnt hat. Und im Ruhestand bin ich nicht. Noch nicht 😁

Die Reviews stellen __meine__ Meinung zu bestimmten Themen, i.d.R. auch Produkten, dar.

!![[Reviews]]
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Die Rhön befindet sich im Herzen Deutschlands. Über 100 km nordöstlich von Frankfurt gelegen. Früher verlief hier auch die innerdeutsche Grenze. Die Hochlagen der Rhön bilden ein streng geschütztes Naturschutzgebiet. Hier treffen auch drei Bundesländer aufeinander: Bayern, Hessen und Thüringen.

In der Rhön gibt es zahlreiche sehr gute Beobachtungsplätze. Vor allem im Frühjahr sind die Bedingungen in der Rhön sehr gut. Dies liegt daran, dass der über den Winter meist vorherrschende Hochnebel dann kein Thema mehr ist.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/49923944407/" title="Aufnahme an der Thüringer Hütte in der Rhön."><img src="https://live.staticflickr.com/65535/49923944407_83e40dd54f_k.jpg" alt="Aufnahme an der Thüringer Hütte in der Rhön."/></a>

!Der Himmel der Rhön hat im Schnitt Bortle 4

In Zenitnähe ist der Himmel z.T. sehr gut. Zum Horizont hin bricht er allerdings ein. Dies liegt an der zum Teil starken Lichtverschmutzung entfernter Städte, wie z.B. Frankfurt oder Meiningen. Ich würde schätzen, dass der Himmel i.d.R. einen Bortle 4 Himmel zeigt, was auch von der Transparenz abhängt und „drei blauen Balken“ in der Vorhersage von 7timer.org entspricht. Bei „zwei Balken“ kann man mit Bortle 3 rechnen. Wie gesagt, dies hat man praktisch nur im Frühjahr. In diesen Nächten können SQM Werte um 21.4 erreicht werden, was auch im Sommer möglich ist. SQM-L Werte im Zenit sind dann häufig bis 21.6. die Winternächte hingegen sind deutlich schlechter, mit SQM-Werten unter 21 sowie mit Linse um 21.2 bus max. 21.4.

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!Die Rhön bietet einen guten Mittelgebirgshimmel

Der Mittelgebirgshimmel ist nicht so transparent wie ein Hochgebirgshimmel, was an der Lichtabschwächung heller Sterne schon erkennbar ist und generell an der etwas im Vergleich niedrigeren Grenzgröße. Auch die  Milchstraße erscheint weniger strukturiert.

Die Hochlagen der Rhön sind kaum bewaldet. Dies ist ein Vorteil, da so die Rundumsicht in der Regel gut ist. Insbesondere ist die Lange Rhön geprägt durch Moore und Feuchtgebiete. Diese sind mitunter streng geschützt und dürfen häufig nicht betreten werden. Daher kommen nicht alle guten Plätze für Beobachtungen in Betracht. Wird man dennoch dort angetroffen, kann es hohe Bußgelder geben.

!Beobachtungsplatz – Parkplatz am Schwarzen Moor

Dieser Platz ist relativ neu. Damit meine ich nicht den Parkplatz selbst sondern die Tatsache, dass der umliegende Wald aus Naturschutzgründen abgeholzt worden ist (Renaturierung der Moorlandschaft). Dadurch hat man eine gute Rundumsicht. Leider muss man allerdings nachts mit Campern rechnen, was aber nur sehr selten problematisch ist.

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!Beobachtungsplatz - Wasserkuppe 

Verschiedene Parkplätze an der Wasserkuppe bieten eine gute Beobachtungsmöglichkeit. Die Wasserkuppe selbst sollte man allerdings meiden, da hier häufig Laternen beziehungsweise helle Bewegungsmelder an Gebäuden montiert sind. Zwar ist die Straßenbeleuchtung vorbildlich, allerdings werden verschiedene Gebäude, wie zum Beispiel das Hotel „Deutscher Flieger“ sowie „Peterchens Mondfahrt“ angestrahlt. Darüber hinaus sind in den umliegenden Gebäuden u.a. eine Flugschule untergebracht. An den zugehörigen Gebäuden sind helle Lichtstrahler angebracht, die auf Bewegung reagieren. 
Relativ neu ist der Bau verschiedener „Hütten“, die für Touristen errichtet worden sind und tageweise gemietet werden können. 

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/44526754715/in/datetaken/" title="Lange Rhön"><img src="https://live.staticflickr.com/1938/44526754715_ca19f145fc_k.jpg" alt="Lange Rhön"></a>

Insgesamt muss man sagen, dass die Wasserkuppe relativ stark bebaut ist und daher auch von Leuten, zum Beispiel Hotelgästen etc. auch nachts frequentiert wird. Die Bemühungen seitens der Sternenparkverwaltung die Beleuchtung einzuschränken ist bei der Straßenbeleuchtung gut gelungen, bei den Anwohnern allerdings nicht. Immerhin ist eine Art Skybeamer, der vor Jahren dort sein Unwesen trieb, mittlerweile nicht mehr in Betrieb.
Trotz alledem kann man abseits an den Hängen der umliegenden Parkplätzen gut beobachten. Generell stört die Nähe zu Fulda sowie zu Frankfurt im Vergleich zur Langen Rhön.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/sb36DU" title="Seiferts (Rhön)"><img src="https://live.staticflickr.com/65535/49798058713_804c5710e8_k.jpg" alt="Seiferts (Rhön)"></a>

!Jahreszeiten 

Vor allem im Winter ist die Rhön nur beschränkt nutzbar. Bei Schneefällen werden im Naturschutzgebiet Straßen bewusst nicht geräumt. Das muss man wissen, wenn man hier beobachten will. Häufig ist das Wetter die Wintermonate über auch schlecht, so dass damit gerechnet werden muss, dass bis zu drei Monate überhaupt nicht beobachtet werden kann.
Nachtfrost ist unabhängig von den Jahreszeiten hier häufig anzutreffen. Selbst im Sommer. Deshalb ist Winterkleidung hier absolut Pflicht.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/L76xV3" title="Blick zum"><img src="https://live.staticflickr.com/65535/50943382572_8e6a432341_k.jpg"></a>

!Wetterbedingungen

Die Rhön liegt auf einem Hochplateau und bei klarem Wetter muss mit Wind gerechnet werden. Die vorherrschende Windrichtung ist dann Ost beziehungsweise Südost, manchmal auch Nordost. Im Gegensatz zum Hochgebirge sind Böen nicht zu heftig. Deshalb kann man bei Mittelwind um 30 km/h bei angekündigten Windböen bis 60 km/h trotzdem gut beobachten, sofern man Muldenlagen aufsucht. 

Die Temperaturen können praktisch ganzjährig nachts unter 0 °C fallen. Gemäß meinen Wetteraufzeichnungen hat man die wärmsten Nächte mit Temperaturen um +10-15 °C häufig im Spätsommer bzw. Frühherbst. Für die Lange Rhön werden 120 Nebeltage im langjährigen Mittel aufgerufen. Vor allem in der zweiten Nachthälfte muss häufig mit durchziehendem Bodennebel gerechnet werden. Dennoch sind auch Nächte mit sehr niedriger Luftfeuchte möglich. Meine Aufzeichnungen der letzten Jahr zeigen, dass diese - vermutlich aufgrund des Klimawandels - deutlich zu nehmen.

Infos zu weiteren guten Beobachtungsplätzen gibt es unter folgendem Link: [[www.lichtverschmutzung.de - Beobachtungsplätze Rhön - PDF|http://www.lichtverschmutzung.de/zubehoer/download.php?file=beobachtungsplaetze_rhoen.pdf]].

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!!Wichtige Info für die Lange Rhön

In der Langen Rhön ist das Parken bzw. Anhalten selbst auf ausgewiesenen Straßen nicht erlaubt. Lediglich Parkplätze dürfen mit dem Auto aufgesucht werden. Darüber hinaus dürfen Wanderwege nicht verlassen werden. Im schlimmsten Fall drohen sogar [[Anzeigen|6. November 2020 - Lange Rhön]].

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Der nächste Neumond steht an. Nach einigem Zögern habe ich tatsächlich Anfang Mai ein paar gute Gelegenheiten "verpasst". Aber so ist das, wenn man einen Anfahrtsweg von ca. eineinhalb Stunden in die Rhön hat. Da fährt man nur los, wenn das Wetter 100% ist. Oder aber man quartiert sich vor Ort ein und verbindet das Ganze mit einem Familienurlaub, was ich diesmal auch mache.

Die Rhön wurde von einer Sternfreundin vor kurzem auch passend "La Palma des Nordens" genannt. Auf der "echten" Insel war ich vor einem Monat. Mal schauen was die Rhön zu bieten hat. Die Rhön ist zudem ein [["Sternenpark"|http://www.sternenpark-rhoen.de/]].

Am Mittwoch geht es am späten Nachmittag mit Kind und Kegel los. Gegen Abend treffen wir im Hotel ein. Beim Abendessen frage ich nach dem Zugang zum Hotel während der Nacht. Gleich bekomme ich die Schlüssel ausgehändigt und eine Broschüre zum Sternenpark Rhön. Aha bin also schon direkt aufgeflogen.

Astronomische Dämmerung ist nach 23:00 Uhr und kurz nach 03:00 Uhr am Morgen wird es schon wieder hell. Also knapp vier Stunden Zeit bleibt zum Beobachten. Nicht viel, aber immerhin.

Beim ersten Blick auf der Fahrt aus dem Auto zeigt, dass in der Langen Rhön noch Winter herrscht. Die Bäume haben noch keine Blätter und auch sonst sieht noch alles sehr karg aus. Einzig der Rasen ist einigermaßen grün. 

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 04.-05.05.|4. Mai 2016 - Rhön]]|''14"  Dobson, 4 h, SQM-L 21.81,  3 Objekte''<br>Jupiter, __[[NGC 4725]]__, Abell 1656|
|[[2. Nacht / 05.-06.05.|5. Mai 2016 - Rhön]]|''14" Dobson, 4 h,  SQM-L 21.65, 3 Objekte''<br>Jupiter - Schattendurchgang (Ganymed), Abell 1656, __[[M51]]__, NGC 5053|
|[[3. Nacht / 06.-07.05.|6. Mai 2016 - Rhön]]|''14" Dobson, 4 h, SQM-L 21.56, 3 Objekte''<br>__[[Abell 1656]]__, M53, NGC 4088, __[[M106]]__ & UGC 7356 & NGC 4248|
|[[4. Nacht / 07.-08.05.|7. Mai 2016 - Rhön]]|''14" Dobson, 4 h, SQM-L 21.61''<br>__[[NGC 4556]]__, M106, __[[M97 - Eulennebel]]__|
|!4 Nächte|!Gesamtbeobachtungszeit 16 h, über 10 Objekte beobachtet (z.T. mehrfach), davon 6 gezeichnet|

In der ersten Nacht werden vom SQM-L mehrfach die 21.8 gemessen. Die Bedingungen sind hervorragend. Der Unterschied zu La Palma ist zumindest für diese Nacht kaum sichtbar. Einzig der Horizont ist durch Lichtverschmutzung hier stärker aufgehellt. Dennoch sind die vier Beobachtungsnächte alle als außergewöhnlich gut einzustufen. Der Taupunkt wird in keiner der Nächten erreicht. Die Temperaturen bewegen sich aber z.T.  mit +2°- 9° auf winterlichem Niveau.

Die Tage über zeigt die Sonne beim Abdecken mit dem Zeigefinger keinen nennenswerten Hof. Interessant fand ich die Tatsache, dass einige bekannte Sternbilder hier (50° Grad nördliche Breite) zirkumpolar sind. Insgesamt waren hier wohl an die 7-8 Nächte möglich gewesen, also genug "Stoff" für einen echten Astrourlaub.

In der Rhön bekommt man neben der Astronomie einiges geboten. Auf der Wasserkuppe wird ein Flugplatz mit kleineren Maschinen und Segelflugzeugen betrieben.

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Die Lange Rhön ist für ihre Moore bekannt. Eines davon ist das Schwarze Moor.

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Hier kann man auch tagsüber mit der Familie also genug unternehmen. 

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Gebrauchte und nachträglich astromodifizierte Sony A7s macht sehr gute Fotos.</div>

Das Wetter hat schließlich Erbarmen mit uns. Aber nur für ein paar Nächte. Es werden am Ende insgesamt vier.

! „Waschküchen-Wetter“

Seit einer Woche hat uns ein so genanntes „Waschküchen-Wetter“ im Griff. Selbst in der Rhön ist es unangenehm, da auch hier die Luftfeuchtigkeit recht hoch ist. Aufgrund der hohen Temperaturen auch nachts wird zum Glück der Taupunkt nicht erreicht. Zumindest nicht in Höhenlagen. 

!Himmel

Die Beobachtungsbedingungen sind gut. Zumindest guter Durchschnitt. Der Himmel ist tatsächlich recht dunkel, allerdings sagen meine Messgeräte, dass er doch recht hell ist. Insbesondere, dass SQM kommt hier zum ersten Mal zum Einsatz. Im Schnitt zeigt es 21.29, manchmal nur 21.19 und in einer sehr guten Nacht 21.46. Natürlich sind das etwas unrealistische Werte bezogen auf das Gerät ohne Linse, denn gemessen wurde ja mit der Milchstraße im Zenit, aber das ist nun mal im Sommer nicht anders möglich. Im direkten Vergleich zu Andalusien mit ebenfalls heller Sommermilchstraße im Zenit ist der Unterschied doch sehr deutlich: denn dort konnte ich 21.46 im Mittel messen, d.h. praktisch jede Nacht. Visuell würde ich sagen, dass beide Himmel doch recht ähnlich sind, die Messwerte sagen aber was ganz anderes. Kameraaufnahmen mit entsprechenden Belichtungszeiten übrigens auch. Dies ist übrigens ein Thema, was mich schon lange beschäftigt, nämlich ob ein bestimmter Himmel wirklich so gut beziehungsweise so schlecht ist wie vermessen. Aber es ist so, der Punkt ist ja einfach, dass die wahrnehmbaren Unterschiede für das menschliche Auge vermutlich sehr gering sind und aus der Erinnerung heraus sowieso keine belastbaren Aussagen auf diesem Niveau möglich sind.

Aber nun zur Beobachtung. Insgesamt konnten vier Nächte beobachtet werden. Mathias war die ganze Zeit dabei und teilweise auch mit 21 Zoll. Kurios, dass wir wirklich gleich große Öffnungen haben, denn so lässt sich leider nicht wirklich der Anblick von Objekten vergleichen, denn ein solcher Vergleich ist praktisch sinnlos, es sei denn man möchte Optiken vergleichen, wobei dies auch schwierig sein dürfte, denn ich beobachte permanent mit einem Komakorrektor. 🤓

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 18.-19.08.|18. August 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 5 h, Ort: Lange Rhön, SQM-L 21.46, SQM 21.19, klar, ca. 70% rel. Luftfeuchte''<br>M 101 im Feldstecher & im Teleskop, Highlights der südlichen Sommermilchstraße im Feldstecher, [[Sh 2-71]], [[Sh 1-89 - Mottennebel]], M 27 und NGC 6888, Cirrus Nebelkomplex, [[NGC 772]]|
|[[2. Nacht / 20.-21.08.|20. August 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 5 h, Ort: Lange Rhön, SQM-L 21.50, SQM 21.39, klar mit am Anfang durchziehenden Wolken ☁️, ca. 90% rel. Luftfeuchte''<br>Highlights der südlichen Sommermilchstraße im Teleskop, [[NGC 6888 - Cresent Nebel]], [[NGC 772]], Jupiter|
|[[3. Nacht / 21.-22.08.|21. August 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 5 h, Ort: Lange Rhön, SQM-L 21.55, SQM 21.46, klar mit durchziehenden Wolken ☁️, ca. 70% rel. Luftfeuchte''<br>M 101 im Feldstecher & Teleskop, [[NGC 6888 - Cresent Nebel]], M 27, M 13, Cirrus Nebelkomplex, M 15, [[NGC 772]]|
|[[4. Nacht / 22.-23.08.|22. August 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 5 h, Ort: Lange Rhön, SQM-L 21.46, SQM 21.26, klar mit durchziehenden Wolken ☁️, ca. 80% rel. Luftfeuchte''<br> [[Sh 1-89 - Mottennebel]], Vyssotsky 1-2 (PNG 053-3+24-0), [[Sh 2-174]]|

!Fazit

Schöne Nächte im ausgehenden Sommer. Meine Prognose: September wird verregnet sein und wir werden nicht beobachten können.

Eigentlich war ich bereits auf dem Sprung nach Spanien. Doch dann stellt sich eine so genannte „Omega-Wetterlage“ ein, wobei über Deutschland ein stabiles Hoch liegt. Im Gegenzug hat sich über Spanien ein Tiefdruckgebiet eingenistet und führt dort zu zum Teil ergiebigen Niederschlägen. Also schnell den Flug umgebucht und das Mietauto storniert. Stattdessen geht es in die Rhön! Am Wochenende stört zunächst der Mond und ab Anfang der Woche soll es kurz regnen. Dann jedoch sagt die Prognose, würde das schöne Wetter möglicherweise weitergehen. Es geht laut Vorhersage erst mal um drei bis vier Nächte und man muss schauen, ob daraus nicht deutlich mehr werden. Ich bin gewappnet und schlage meine Zelte in der Rhön auf und habe bis zu 14 Tage Zeit zu beobachten. Mathias ist auch mit dabei.

Wir befinden uns ja mittlerweile im September, und die Nebelbildung in diesem Monat ist evident. Die Vorhersage ist, dass wir auch die Tage eine Süd bis Südwestströmung haben werden, denn das über uns liegende Hoch zieht langsam ostwärts. Im Gepäck hat diese Strömung dann feuchte Meeresluft, so dass es in den Niederungen auch Nebel geben wird. So zumindest die Vorhersage.

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!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 08.09.|8. September 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 2 h, Ort: Lange Rhön, SQM-L 21.36, klar, 17° C''<br>NGC 6712, [[IC 1295]]|
|[[2. Nacht / 09.-10.09.|9. September 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 3.5 h, Ort: Lange Rhön, SQM-L 21.30, ca. 90% rel. Luftfeuchte''<br>M 101, Highlights Sommermilchstraße im Teleskop, M 13, M 15, M 27, Sturmvogel, [[IC 1295]], [[M 13]]|
|[[3. Nacht / 10.-11.09.|10. September 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 5 h, Ort: Lange Rhön, SQM-L 21.3, klar, ca. 70% rel. Luftfeuchte, ca. 15° C''<br> Highlights der südlichen Milchstraße im Feldstecher, M 17, M 16, [[M 15]], [[M 13]], [[NGC 5981/2/5 - Draco Triplett]]|
|[[4. Nacht / 14.-15.09.|14. September 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 7 h, Ort: Lange Rhön, SQM-L 21.46, klar mit Nebelbildung, ca. 95% rel. Luftfeuchte, 6° C''<br> [[IC 1291]], [[Kohoutek 3-36]], //Kronberger 68//, [[NGC 6822]], [[M 77]], [[NGC 7331 - Deer Lick Group]], M 42|
|[[5. Nacht / 15.-16.09.|15. September 2023 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 7 h, Ort: Lange Rhön, SQM-L 21.52, klar mit abziehenden Wolken ☁️, ca. 80% rel. Luftfeuchte, 10° C, Earth 🌍 Night''<br> [[Vyssotsky 1-2]]  (PNG 053-3+24-0), [[NGC 6764]], [[NGC 7048]], [[NGC 7331 - Deer Lick Group]], Stephans Quintett, //IC 349//, [[M 77]], Jupiter|

!Beobachtungsobjekte

Die Objektauswahl sollte sich an den Bedingungen orientieren. Bei schlechter Transparenz sollten auch mal wieder Kugelsternhaufen beobachtet werden, bei schlechtem Seeing großflächige Nebel, bei gutem PNs und Planeten. So ergab sich am Ende schließlich ein Mix aus allem, denn die Bedingungen recht variabel.

!Fazit

Die Nächte waren gut, aber nicht sehr gut. Insbesondere das Seeing war am Anfang sehr schlecht, hat sich aber über die Tage doch verbessert. Im zweiten Teil der Beobachtungsnächte hingegen war es wie gewohnt gut. Die Seeingvorhersage von Meteoblue war genau umgekehrt. Bei tatsächlich schlechtem Seeing wurde sehr gutes vorhergesagt und umgekehrt. 🧐

Es waren keine Meganächte, dafür gab es zu viel Tau und auch mehrere Tage schlechtes Seeing. Die Transparenz war zwar gut, aber nicht außergewöhnlich. Trotzdem können Mathias und ich zufrieden sein. Ich bin nur wirklich froh, dass ich das mit Spanien gecancelt habe. Denn ich schaue hin und wieder in die Vorhersage und muss sagen, dass es dort unten im Moment wettermäßig einfach nur schlecht ist. Richtige Entscheidung getroffen!

Objekt: NGC 87, 88, 89 & __92__, Teleskop: 25" f/4 Newton, 
Vergrößerung: 454x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[28.06.2022|28. Juni 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0997y2eo88" title="Roberts Quartett"><img src="https://live.staticflickr.com/65535/52285519505_ce6210da70_c.jpg" alt="Roberts Quartett"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52285299674/in/photostream/]]

Kenne Roberto von zahlreichen Beobachtungsnächten in Bonilla. 

{{!!url}}

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Roberto beobachtet mit einem 4" Zoll APO und einem selbstgebauten 10" Zoll Newton. Ein echter Experte auf dem Gebiet des astronomischen Zeichens.
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Auf dem Roque gibt es die besten Bedingungen, abgesehen vom Wind, der in einer Höhe von über 2000m auftreten kann. Der Himmel erreicht meiner Schätzung nach auf der Bortle Skala meist einen Wert von 1-2. Der Wind ist auch der Grund warum man auf sehr gute Winterbekleidung nicht verzichten sollte. Dies gilt bei mir auch bei höherer Luftfeuchte, bei der ich stets früher oder später ins "bibbern" gerate und zeitweise Schutz im Auto suchen muss.

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Temperaturen und Luftfeuchte können hier relativ stark varieren: Die Luftfeuchte kann sich innerhalb einer Stunde um 50% verändern (ohne das Wolken der Grund sind) und Temperaturen um 6-7 Grad fallen bzw. steigen. Eine Verbindung zwischen Windrichtung und Luftfeuchte ist schwer einzuschätzen. Während der NNW-Wind häufig trockene und relativ warme Höhenluft bringt, ist der Nordwind - wie man erwarten würde - eher kälter. Bzgl. der Windstärke sind Beobachtungsplätze unterhalb der Teleskope an der Straße sehr gut geeignet. Hier ist meiner Erfahrung nach die Windstärke am geringsten. Plätze innerhalb des Observatoriumsgeländes sind ohnehin wegen der fehlenden Zufahrtsmöglichkeit nicht erreichbar. Darüber hinaus weht der Wind dort oft auch deutlich stärker, wie ich es selbst erfahren konnte.

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Im übrigen sind die Windgeschwindigkeiten in den verschiedenen Höhenlagen sehr unterschiedlich. Während es in tieferen und mittleren Lagen stark windig sein kann, herrscht aufgrund der schon beschriebenen unterschiedlichen Wettersysteme in den Gipfellagen gar kein Wind. Oft ist es aber eher umgekehrt.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/26098108862/" title="Pano"><img src="https://live.staticflickr.com/1699/26098108862_9b33e5cc47_k.jpg" alt="Pano"></a>

!!Beobachtungsplätze an der Straße

Der Aufenthalt auf dem Obeservatoriumsgelände ist nachts untersagt. An der Straße, die über den Roque führt, gibt es allerdings viele gute frei zugängliche Beobachtungsmöglichkeiten. Mein Favorit sind Plätze unterhalb der Residencia, da hier erfahrungsgemäß wenig Wind herrscht.

!!Mirador de los Andenes - Aussichtsplattform

Der Mirador de los Andenes ist bei deutschen Touristen und Astrofotografen als "Aussichtsplattform" bekannt. In der Tat handelt es sich um einen mit Steinen gepflasterte Terrasse. Er bietet einen atemberaubenden Ausblick auf die Insel und sollte auch nachts einmal aufgesucht werden. Gepflasterten Untergrund findet man selten auf dem Roque. Im Feld ist man meist mit felsigen Boden und losem Geröll konfrontiert, der in der Regel auch von feinem losem Staub umgeben ist. Dieser Staub ist so fein, dass er beim Auftreten in alle Richtungen zerstiebt und sogar in der Nase einen charkteristischen Geruch hinterlässt.

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An der Aussichtsplattform  herrscht oft ein böiger Wind aus unterschiedlichen Richtungen häufig aber NW-Wind.

Er legt sich zumeist aber im Laufe der Nacht, kann aber trotzdem sehr heftig ausfallen. Herrscht hingegen auch tagsüber Wind aus NNW, so ist man durch einen hohen Felsen in dieser Richtung windgeschützt. Man hört dann den Wind als Rauschen wie er über den Bergkamm fährt. Völlig ungeschützt ist man bei Wind aus Nordosten bzw. Osten. Kommt der Wind aus Süden bzw. Norden, so steigt er manchmal den Bergkamm von unten kommend herauf. Ich habe dies mehrmals erlebt. Am Geländer der Aussichtsplattform schien es mich fast weg zu wehen während ein bis zwei Meter dahinter vom Wind außer dem Pfeifen nichts zu spüren war.

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!!Seeing

Der Roque de los Muchachos gehört zu einem der besten Seeingstandorte der Welt.  Das bedeutet allerdings nicht, dass das Seeing immer ausgezeichnet ist. Sofern es windig ist, ist das Seeing in der Regel immer schlecht. Dazwischen gibt es häufig nichts, d.h. entweder ist es sehr gut, d.h. um 0.5“ oder aber grottenschlecht mit bis zu 4”.  Beobachtungen auf dem Roque sind eigentlich nur bei wenig Wind zu empfehlen. In diesem Fall kann man aber fast immer mit sehr gutem Seeing rechnen.  Weht der Alisio sehr stark, so weht auch auf dem Roque ein sehr starker Wind aus Nordost. In diesem Fall ist mit schlechtem Seeing und sogar mit Wolken auf dem Roque zu rechnen. Dann ist es praktisch unmöglich auf dem Berg zu beobachten. 

!!Wind

Die vorherrschende Windrichtung auf den kanarischen Inseln ist auf Meereshöhe NE, vom Alisio, der bis in mittlere Lagen vorherrscht.  Ab circa 2000m üNN ist die typische Windrichtung Südost. Zweithäufigste ist West-Nordwest. Aus dieser Richtung erreichen auch die Niederschläge beziehungsweise Tiefdruckgebiete La Palma. Wind aus Süd beziehungsweise Südwest und seltener Ost bringen die berüchtigte Calima auf die Insel. Dann liegt eine aus Saharastaub bestehende Glocke über der Insel, die die Durchsicht sehr stark beeinträchtigt. Ab Mitte Juli bis Ende August hängt diese praktisch ununterbrochen mal schwächer bzw. stärker über die Insel. Calima kann aber auch zu anderen Zeiten jederzeit kurzfristig auftreten. 

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/48222649021/in/dateposted/" title="Roque de los Muchachos 04.04.2016 Insel unter Wolken"><img src="https://live.staticflickr.com/65535/48222649021_93ea503413_h.jpg"  alt="Roque de los Muchachos 04.04.2016 Insel unter Wolken"></a>Bedingungen kurz nach Einsetzen der astronomischen Dämmerung, wobei die gesamte Insel unter Wolken liegt. Dann ist die Lichtverschmutzung praktisch nicht erkennbar.</div>

!!Himmelsqualität und Lichtverschmutzung

La Palma ist trotz seiner Größe relativ stark besiedelt. Insgesamt leben auf der Insel circa 80.000 Menschen. Daher gibt es auch Lichtverschmutzung. Diese zeigt sich vor allen Dingen in den stark besiedelten Gegenden, im Osten Santa Cruz und im Westen Los Llanos. Sehr gute Bedingungen mit sehr wenig Lichtverschmutzung findet man im Nordwesten, zum Beispiel in der Gemeinde Garafia. 

Auf dem Roque selbst ist Lichtverschmutzung nur vage wahrnehmbar, sofern man Plätze aufsucht, die in der Nähe der Teleskope liegen. Dies können zum Beispiel Plätze an der Straße unterhalb sein. Dadurch werden die kleinen „Lichtbuckel“ bereits sehr gut abgeschirmt. Vor allem im Winter ist es so, dass die Insel häufig unter einer geschlossenen Wolkendecke liegt, zumindest zum Beginn der Nacht wenn die Lichtverschmutzung am größten ist. Dann hat man nahezu perfekte Bedingungen auf dem Roque. 

Airglow kann auch für eine signifikante Aufhellung sorgen, geht im Laufe der Nacht aber meist zurück. Der Gegenschein kann praktisch nach seinem Aufgang bis kurz vor seinem Untergang beobachtet werden. Die Lichtbrücke ist gut zu erkennen. Die Transparenz ist meistens hervorragend. Dies ist auch ein Grund, warum man den Gipfelbereich der Insel aussuchen sollte, denn nur hier in Höhen über 2000m die beste Transparenz garantiert ist.

!!Vergleich mit Namibia 

Der Himmel über La Palma erreicht in der Regel SQM-L Werte um 21.8. Der Himmel ist aber insgesamt heller als der in Namibia. Nicht immer, aber i.d.R. schon. Das liegt aber vermutlich auch daran, dass die Transparenz hier besser ist. Je besser die Transparenz, desto heller in der Regel auch der Nachthimmel. Darüber hinaus ist das  Airglow stärker ausgeprägt, so zumindest meine Beobachtung, vor allem in der ersten Nachthälfte. In Namibia ist es interessanterweise anders herum. Auf jeden Fall kann man festhalten, daß  es sich um den besten Himmel handelt, den man von Europa aus erreichen kann.

Objekt: Rosettennebel, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter: OIII, Bedingungen:-, Ort: RDLM, Zeitpunkt: 01.01. & 03.01.2016

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Ich bin im August 2023 für sechs Tage auf Rügen, aber nicht zum beobachten, sondern um mit der Familie Urlaub zu machen. Dennoch juckt es mich, aber ich habe natürlich kein Astrozeug dabei außer Kamera und eine einfache Nachführung. Ich bin auch um den Vollmond da, aber bekanntlich steht der Vollmond im Sommer recht tief und so bin ich überrascht im Planetariumsprogramm im Vorfeld zu sehen, dass wenige Tage vor Vollmond immerhin ab Mitternacht der Mond untergeht. Und so bin ich um halb drei Uhr am Strand und staune zusammen mit meinem Sohn über den schönen Sternenhimmel. Leider sind Ende August die Temperaturen schon niedriger als die Wassertemperatur der Ostsee, so dass sich im Nu Nebel bildet. Das ist zwar nicht augenscheinlich, aber man sieht am Himmel, dass dieser etwas dunstig beziehungsweise neblig erscheint. Ich zücke direkt meine Apparate und muss sagen, dass dieser Himmel dunkel ist. SQM 21.44 (milchstraßenkorrigiert ca. 21.6), sowie SQM-L 21.52 im Mittel. 

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Nicht schlecht! Das sind praktisch die Spitzenwerte, die wir in der Rhön im Sommer haben können. Wird hier direkt aus dem Stand erreicht bei nicht optimalen Bedingungen. Ich halte dies direkt fotografisch fest, und mache zwei Aufnahmen. Eine Richtung Osten und die andere Richtung Westen. Nach Norden hin mache ich keine, wobei da der Himmel dort am dunkelsten ist. Dies liegt einfach daran, dass dort keine Milchstraße zu erkennen ist. Zu erkennen ist am Horizont allerdings ein weit entfernter Windpark, der offenbar zur dänischen Küste gehört. Von Norden geht praktisch überhaupt keine Lichtverschmutzung aus. Am Himmel sind auch keine Lichtverschmutzungsglocken zu erkennen, wobei der Himmel nach Süden hin durch die hohe Düne bis circa 60° verdeckt wird. 

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Laut Lichtverschmutzungskarte handelt es sich um einen der dunkelsten Himmel den man überhaupt in Deutschland noch erleben kann. Und ich muss sagen, das ist vermutlich richtig! In der Rhön wie gesagt, kann man solche Bedingungen auch haben, aber da muss tatsächlich alles stimmen, und das kommt nur praktisch wenige Male im Jahr vor. Vermutlich leistet dieser Himmel hier noch deutlich mehr, wenn es entsprechend trocken ist und die Durchsicht stimmt. 

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Wenige Tage später gibt es wieder ein halbwegs klare Nacht. Diese ist auch deutlich trockener. Leider stört mittlerweile der Mond. Dennoch kann ich eine die gute Stimmung noch mal einfangen.

Objekt: Sanduleak 2-21, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.76, Ort: Llanos de las Animas, Zeitpunkt: [[13.01.2018|13. Januar 2018 - La Palma]], Seeing 4

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Objekt: Sa 2-21, Teleskop: 25" f/4 Newton, 
Vergrößerung: ca. 1000 fach, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[27. & 28.05.2019|28. Mai 2019 - Tivoli Astrofarm]], Seeing 1-2

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[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48511267942/in/dateposted/]]

Objekt: Umgebung von NGC 7000, Kamera: astromodifizierte Sony A6000 (APS-C) bei 1600 ASA, Objektiv: Samyang 85mm f1.8 @f2, Filter:-, Belichtungszeit: 28x60 sec, Bedingungen: SQM-L 21.7, Ort: [[Rhön]], Zeitpunkt: [[14.08.2021|14. August 2021 - Lange Rhön]],  MSM-Rotator, Stacking in Sequator, Bearbeitet mit Starnet++ & LR iOS.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/y5grM3" title="Hav8ng ist all"><img src="https://live.staticflickr.com/65535/51408369741_8684dd8c82_3k.jpg" alt="Hav8ng ist all"></a>

Objekt: Sh 1-89 = PK 89-0.1, Teleskop: 21" f/3.8, Vergrößerung: 231x, Filter: [OIII], Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[22. August 2023|22. August 2023 - Lange Rhön]], Seeing 2-3, SQM-L

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Objekt: Sh 2-114, Teleskop: 20" f/3.8 Newton, Vergrößerung: 138x, Filter: [OIII], Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[14.12.2023|14. Dezember 2023 - Wassertank]]

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Objekt: Sh 2-174 = PK 120+18.1, Teleskop: 21" f/3.8, Vergrößerung: 80x, Filter: ''[OIII]'', Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[22. August 2023|22. August 2023 - Lange Rhön]], Seeing 2-3, SQM-L 21.46

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Objekt: Sh 2-71, Teleskop: 21" f/3.8, Vergrößerung: 231x & 378x, Filter: [OIII], Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[18. August 2023|18. August 2023 - Lange Rhön]], Seeing 2-3, SQM-L 21.46

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/uVCfb2HY2a" title="Sh 2-71"><img src="https://live.staticflickr.com/65535/53138820356_7d81b4dd0c_h.jpg" alt="Sh 2-71"/></a>

Objekt: Sh2-101 - Tulpennebel, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56 & 114x, Filter: UHC & Hß, Bedingungen: SQM-L 21.7, Ort: PDA, Zeitpunkt: 3. & 6.08.2016

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[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/29036051396/in/datetaken/]]

Objekt: Sh2-176, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65x, Filter: OIII, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[27.01.2017|27. Januar 2017 - La Palma]]

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Objekt: Sh2-216, Teleskop: 14" f/4.6 Newton, Vergrößerung: 40x, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: La Podona, Zeitpunkt: [[30.03.2019|30. März 2019 - La Palma]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/R56m21" title="Sh2-216"><img src="https://live.staticflickr.com/65535/49151084498_4333a71b35_c.jpg" alt="Sh2-216"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49151578901/in/photostream]]

Objekt: Sh2-254/5/6/7 - Die drei Schneebälle, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 40 & 65x, Filter: Hß, Bedingungen: SQM-L 21.54, Ort: Wasserkuppe, Zeitpunkt: [[16.11.2018|16. November 2018 - Wasserkuppe]]

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[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46180470792/in/datetaken/]]

Objekt: Sh2-261, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65x, Filter: UHC, Bedingungen:-, Ort: RDLM, Zeitpunkt: 06.01.2016

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[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24872519686/in/datetaken/]]

Objekt: Barnard's Loop, Bloßes Auge, Vergrößerung: 1x, Filter: Hß & UHC, Bedingungen: SQM-L 21.65, Ort: Trocha del Reventon, Zeitpunkt: 05.04. & 06.04.2016

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9S5408i98Q" title="Barnard’s Loop"><img src="https://live.staticflickr.com/65535/52648464421_9f2ced2f4b_h.jpg" alt="Barnard’s Loop"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52648949948/in/photostream/]]

Objekt: Sh2-203, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 65 & 114x, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[04.01.2018|04. Januar 2019 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/42Uo22" title="Sh2-301"><img src="https://live.staticflickr.com/65535/33846684478_2bbc211de8_c.jpg" alt="Sh2-301"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33846684538/in/photostream/]]

Objekt: Sh2-308, Teleskop: 14" Newton f4.6, Vergrößerung: 65x, Filter: OIII, Bedingungen: -, Ort: RDLM, Zeitpunkt: 01.04.2016

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Objekt: Sh2-84, Teleskop: 14" f/4.6 Newton, Vergrößerung: 56 & 114x, Filter: OIII, Bedingungen: SQM-L 21.5, Ort: Wasserkuppe, Zeitpunkt: [[28.11.2016|28. November 2016 - Wasserkuppe]]

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[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31568307282/in/datetaken/]]

Objekt: Shapley 1, Teleskop: 25" f/4 Newton, 
Vergrößerung: 454 fach, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[28.05.2019|28. Mai 2019 - Tivoli Astrofarm]], Seeing 3

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48617034808/in/dateposted/" title="Shapley 1"><img src="https://live.staticflickr.com/65535/48617034808_fac4f8b80b_c.jpg" alt="Shapley 1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48617034823/in/photostream/]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42184353262/in/dateposted-public/" title="GRANTECAN"><img src="https://farm1.staticflickr.com/906/42184353262_2ffb97e240_h.jpg"  alt="GRANTECAN"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Der letzte Besuch war im März. Freue mich schon riesig. Aber hoffentlich spielt das Wetter mit. Dieses Jahr haben wir ja ein "El Niño". Mitte Oktober wurden deshalb für La Palma intensivere Niederschläge für diesen Winter angekündigt. 

Im Vorfeld habe ich mir teilweise neues Equipment gegönnt, so zum Beispiel den genialen Howie Glatter Justierlaser, sowie eine neue Rotlichtlampe für den Kopf. 
Mit dabei ist auch der 14 Zöller, und zwar die neue Version, die bisher auf La Palma noch nicht zum Einsatz kam.
Wie immer wurde alles in zwei Koffern a 23 kg verpackt und so ging es dann mit Iberia zunächst nach Madrid und von dort weiter direkt nach Santa Cruz der La Palma. Pünktlich gegen 14:30 Uhr landet der Flieger. Gegen 16:30 Uhr bin ich in Puntagorda. Schnell lasse ich mir noch ein Brot machen und schau mir die Bedingung auf dem Roque an. Weiter geht's ins Nachbardorf Las Tricias. Und von dort zum Haus. Schnell noch das Teleskop vorkonfigurieren, d.h. den Spiegel einbauen und so weiter und schon geht's los. Hier geht nämlich die Sonne um 18:30 Uhr unter. Ich bin auf dem Weg zum Roque. Zum Sonnenuntergang schaffe ich es nicht mehr, aber trotzdem bin ich bei Anbruch der astronomischen Dämmerung beobachtungsbereit. Heute Nacht gibt es knapp vier Stunden Beobachtungszeit. Kurz nach Mitternacht, d.h. im neuen Jahr geht dann der Mond auf.

Die Beobachtungsliste ist lang. Zeichenmaterial ist auch dabei. Erstes Objekt ist der Sternenhimmel mit bloßem Auge. Die Transparenz ist hier oben auf dem Roque de los Muchachos hervorragend. Aus dem Flieger heraus sah man, dass es bis etwa 1000m üNN aber diesig ist.

{{La Palma Jan 2016 - Beobachtungen}}

!!Videos

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!!Fazit

Ich hatte unendliches Wetterglück. Bis auf eine Nacht waren alle klar. Zwei mit schlechtem Seeing. Zwei mit perfektem. Grandioser Himmel, der in zwei Nächten vom SQM-L mit 21.85 bedacht wurde. 

Dieser Himmel muss sich hinter Namibia nicht verstecken. Von der Landschaft her schon gar nicht. Trotzdem ist es nach meiner Namibiareise eine interessante Erkenntnis. Ein Astrofreund, der einige Zeit hier verbrachte  und damals schon viel rum gekommen ist, sagte schon vor Jahren, dass Namibia, Chile und La Palma auf dem gleichen Niveau liegen. Ich denke er hat Recht.

Der Himmel lebt von der Transparenz. Die sehr guten SQM-L Werte wurden häufig in der zweiten Nachthälfte ermittelt. Es gab keine flächendeckende Wolkenschicht, welche die doch vorhandene Lichtverschmutzung herausfilterte. 

In allem eine der herausragenden Astroexkursionen der letzten Jahre. Von der Intensität her nur vergleichbar mit der im letzten Mai nach Namibia. "El Niño" habe ich nicht gesehen. Aber das zugehörige schlechte Wetter kann ja noch kommen. Ab jetzt. Es darf.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/27360064567/in/dateposted-public/" title="Untitled"><img src="https://farm1.staticflickr.com/907/27360064567_a2cb5e69e0_h.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Objekt: Simeis 147, Teleskop: 14" f/4.6, 
Vergrößerung: 40x, Filter: OIII, Bedingungen: SQM-L 21.9, Ort: Roque, Zeitpunkt: [[12.01.2018|12. Januar 2018 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/39193585440/" title="Simeis 147 um HD 246646"><img src="https://farm1.staticflickr.com/799/39193585440_8375a599b4_c.jpg" alt="Simeis 147 um HD 246646"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26131888457/in/photostream/]]

Objekt: Simeis 147 um HD246646, Teleskop: 14" f/4.6 Newton, Vergrößerung: ca. 65x, Filter: OIII, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[30.12.2018|30. Dezember 2018 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46395513855/in/dateposted/" title="Simeis 147"><img src="https://farm8.staticflickr.com/7857/46395513855_73184a6d4e_c.jpg" alt="Simeis 147"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/46395513875/in/photostream/]]

Objekt: Simeiz 22, Teleskop: 14" f/4.6 Newton, Vergrößerung: 65 fach, Filter: OIII, Bedingungen: SQM-L 21.86, Ort: Pinar de Araceli, Zeitpunkt: [[20.07.2017|20. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/35930448573/in/datetaken-public/" title="Simeiz 22"><img src="https://farm5.staticflickr.com/4420/35930448573_c7e318e63f_c.jpg" alt="Simeiz 22"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35905492214/in/datetaken-public/]]

Vorgestern kam das neue Release von Sky Safari raus. Mittlerweile gibt es die Version 5. Ich nutze seit Jahren die 4 Pro. Ich habe zum reduzierten Preis von 19,99 Euro zugegriffen. Aber hat sich der Umstieg gelohnt?

Zu den aus meiner Sicht interessanten Neuerungen gehört:

#Neue verfügbare Kataloge wie der Hickson, 
#Sharing der Dateien über Clouddienste. Damit kann man das Programm jetzt auch auf unterschiedlichen Geräten nutzen.
#Sehr gute Darstellung des Sternenhimmels. Mit neuem Horizontpanorama.
#Download und Anzeige des DSS.

Insbesondere letzteres ist ein wirklich gutes Feature.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/23853049445/in/datetaken-public/" title="Untitled"><img src="https://farm6.staticflickr.com/5653/23853049445_cddc3b8daa_b.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Überwiegend ist aber alles beim alten geblieben. Ein paar mehr Fotos von Objekten, die hinterlegt sind und deutlich mehr Beschreibungen. Hier noch mal der Vergleich zur alten Version.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/23770698531/in/datetaken-public/" title="Untitled"><img src="https://farm6.staticflickr.com/5785/23770698531_f7a183965b_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Lohnt sich der Umstieg? Gute Frage. Da das Update auf die Fünfer Version nur 19,99 € kostet, habe ich für mich entschieden, Ja. Für Deep Sky Beobachter sind die DSS Images eine unglaubliche Hilfe. Für Leute, die das Programm nicht für Ihre Deep Sky Beobachtungen intensiv nutzen, hingegen nicht. Die können auch bei der Vierer Version bleiben.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38385346945/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4734/38385346945_812031c5c5_o.jpg" width="210" height="110" style="float:left;margin-right:15px;margin-bottom:15px;" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

!!''Sky Safari 5 vs. 6 Pro''

Ziemlich genau zwei Jahre ist es her, dass das letzte Major Release herauskam.  Pünktlich zu Weihnachten ist die Version 6 verfügbar. Kosten: 21,99 €. Das  nahezu identische Icon (im Vergleich: links das 5er und rechts das 6er) deutet es an: es handelt sich im Großen und Ganzen um ein Facelift der App. Große und tiefgreifende Änderungen gibt es nicht. 

!!!''__Neu:__''

#flachere Menüstruktur: Durch zwei neue Icons „Selection“ und „Observe“ in der unteren „Status Bar“ hat man nun direkt Zugriff auf die zu selektierten Objektinfos sowie Beobachtungseinträgen. Dies macht sich insbesondere bei der Planung bemerkbar. Man muss sich nicht mehr durch die Submenüs hangeln. 
#Es gibt jetzt Beobachtungssessions. Diese werden Beobachtungseinträgen zugeordnet. Eine Session kann über eine oder mehrere Nächte gehen.
#Vorbelegtes Equipment: Viele Produkte, gerade Okulare vieler Hersteller sind hinterlegt, das einfach ausgewählt werden kann. Wenn man das bereits genutzt und konfiguriert hat ein eher überflüssiges Feature. Bei der Migration aber sehr hilfreich, da Einträge zum Equipment nicht migriert werden können.<div class="tc-link-info-item-flex-50" style="float:right;margin-left:15px;margin-bottom:0px;margin-top:5px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38388099395/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4731/38388099395_4df939b1e5_c.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Eine Browserversion ist im Premium Cloud Account angekündigt.</div>
#Cloud Storage: In der Version 5 lief alles über die iCloud & Co. Jetzt gibt es einen eigenen Dienst mit Namen Skyview.com. Man muss dort einen Account anlegen. Dann werden die Beobachtungen ect. über alle registrierten Geräte synchronisiert. Vielleicht sogar plattformübergreifend, was ich aber nicht ausprobieren konnte, da ich bisher nur iOS Geräte besitze. Unklar ist, was der Dienst kostet. In der App wird der Basic Account angezeigt. Eingeloggt jedoch der 38 Tage kostenfreie Premium Account. Beobachtungen können in das ~OpenAstronomyLog-Format exportiert werden. CSV geht natürlich auch. In der App fehlt das Export Feature dann auch logischerweise. Der Premium Account ist ein Abo und hat noch eine Browserbasiertes Version im Gepäck. Man braucht dafür dann die App nicht. Aber vermutlich eine permanente Internetverbindung. Zusätzlich gibt es noch ne monatliche Ereignisvorschau.
#Beobachtungslisten lassen sich aus einem Online Repository importieren. Dort gibt es die Herschel 400 Objekte, eine um einen Messier Marathon durchzuführen und andere interessante Listen, z.B. Kompilationen von Objekten der bekannten Beobachterin Sue French. Weitere interessante Listen gibt es zu Palomar und Terzan KS und auch den kompletten Sharpless Katalog.
#Voice Control: App lässt sich über Sprache (englisch) steuern. Funktioniert über Siri und ist recht langsam. Internetverbindung notwendig.
#Eine interessante Suchfunktion: Es lassen sich damit Objekte anhand der Helligkeit, eines Zeitfensters und weiteren Kriterien suchen und so Beobachtungslisten zusammenstellen. Ein sehr mächtiges Werkzeug.
#Kleinere Änderungen: Quasare sind jetzt enthalten. POSS Bulk Download, zu allen in einer Liste gespeicherten Objekten...Statusbar kann gehided werden. Toll, darauf haben alle gewartet. Mond 🌓 ist jetzt auffällig gerendert. Damit erkennt man jetzt besser, ob er jetzt über dem Horizont steht und muss ihn nicht immer suchen. 

!!!''__Gleich geblieben:__''

#Rendering des Sternhimmels, 
#POSS-Karten Download und Anzeige,
#Keine erkennbaren Performance Einbußen.

Lohnt sich der Umstieg? Hhhmm, eher nicht. Außer man möchte wirklich seine ganzen Beobachtungen strukturiert auch in der App vorhalten, was ein interessantes Feature ist, aber doch recht umständlich einzugeben. Da haben die meisten eh schon ein System zum dokumentieren. Viele wohl auch noch auf Papier 😏.

<div class="tc-link-info-item-flex-50" style="float:right;margin-left:15px;margin-bottom:0px;margin-top:5px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9b5khs" title="Untitled"><img src="https://live.staticflickr.com/65535/51663912377_4ce9bed8a8_h.jpg" alt="Untitled"></a>Eine gut abgestimmte Oberfläche mit sehr realistischem Sternenhimmel.</div>

Wieder ziemlich genau zwei Jahre ist es her, dass das letzte Major Release herauskam. Kosten: 24,99 €. Große und tiefgreifende Änderungen gibt es nicht. Dennoch hat sich einiges geändert.

!!!''__Neu:__''

#Rendering des Nachthimmels: endlich gibt es ein neues Rendering. Der Nachthimmel sieht tatsächlich jetzt Mega realistisch aus. Dazu beigetragen hat zum einen, dass helle Sterne vom Durchmesser her nicht mehr so krass, d.h. jetzt also kleiner dargestellt werden und das die Milchstraße vom Kontrast her zurückgenommen worden ist. Sogar die Dämmerungsfarben sind jetzt etwas anders und wirken sehr natürlich. Dies gilt auch für den Horizont.
#Menü - Face-Lifting: die Menüs haben ein Face-Lifting bekommen. Die Buttons sind jetzt dem iOS Design angelehnt. Sie wirken deutlich unauffälliger, wenngleich der Funktionsumfang und die Bedienung im wesentlichen gleich geblieben ist.
#Zeiteinstellung: Hier kann jetzt durch verklicken nicht mehr so viel passieren. Die Buttons sind jetzt etwas versetzt, so dass man nicht unbeabsichtigt die aktuelle Zeit immer wieder einstellt. Das hat mich in der Vergangenheit genervt, denn wenn man die Zeiteinheit verstellt hat, ist man immer wieder versehentlich auf den zentralen Button zur „aktuellen Zeit“ gekommen und man landete (unbeabsichtigt) bei der aktuellen Zeit. 

!!!''__Unverändert:__''

#Menüstrukturen,
#POSS-Karten Download und Anzeige,
#Keine erkennbaren Performance-Einbußen.

Lohnt sich der Umstieg? Finde schon. Die natürliche Ansicht des Nachthimmels ist wirklich der Hammer! Das allein gefällt mir schon so gut, dass ich umgestiegen bin. Zudem wird ja nur die neue Version weiter supportet, d.h. Updates gibt es natürlich für die alte nicht mehr.

Wer umsteigt kann über die Cloud-Funktion seine alten Einstellungen in die neue Version übertragen. Das sind dann zum z.B. gespeicherte Beobachtungsplätze, aber auch Beobachtungslisten.

Der Sommer 2021 war in der Rhön sehr durchwachsen. Viele Wolken und vor allem viel Regen. Die Rhön ist saftig grün.

!Urlaub in der Rhön Anfang August

Ende Juli hatte ich eine Woche Urlaub. Aufgrund der Corona Situation habe ich mich dazu entschlossen, mit der Familie in der Rhön Urlaub zu machen. Mein Hintergedanke war natürlich auch, dass möglicherweise die lang erwarteten klaren Nächte kommen und ich beobachten kann. Tja, nur sie kamen einfach nicht.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7415ii" title="Untitled"><img src="https://live.staticflickr.com/65535/51366064830_9a85c67da8_k.jpg"></a>

Die Aufnahme ist in der Nähe von Geba entstanden. Alles saftig grün und es sprießt ohne Ende. Mancherorts sind tatsächlich die Kornfelder noch nicht abgeerntet. Vermutlich, weil es einfach nicht richtig trocken wird.

Während des Urlaubs habe ich auch einige bekannte Beobachtungsplätze gecheckt. So war ich auch auf der Hohen Geba. Nicht nachts, sondern tagsüber. Das Ganze sieht sehr gut aus, insbesondere ist der thüringische Teil der Rhön tatsächlich dünn besiedelt und man trifft viel weniger Leute an.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1V82Y6" title="Untitled"><img src="https://live.staticflickr.com/65535/51365847614_3fd17e922a_h.jpg"></a>

Blick vom „Gipfel“ Richtung Meininger Hütte. Das auf dem Berg befindliche Ausflugslokal ist nur am Wochenende geöffnet. Insgesamt macht der Berg einen ziemlich verlassenen Eindruck. Dazu muss man wissen, dass es oben etwas abseits auch astronomische Plattformen gibt. Aber auch hier sprießt zum Teilen das Unkraut aus den Betonfugen. Ob man aktuell hier tatsächlich übernachten kann, ist die Frage. Zumindest sieht es so nicht aus.

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/03777V" title="Untitled"><img src="https://live.staticflickr.com/65535/51364271512_bbfb9abd3a_h.jpg"></a>Aufnahmedaten: Einzelaufnahme mit Sony A6000 APS-C bei 6400 ASA und Belichtungszeit von 20 sec sec mit Samyang 12 mm f2 abgeblendet auf f2.8. Ort: Frankenheim am „Pfaffenhaus“ in der Ortsmitte.</div>

!!Airglow im Zenit - Frankenheim (Rhön) am 31.07.2021 kurz vor Mitternacht

Am ersten Urlaubstag klarte es für ca. eine Stunde auf. Der Vermieter des Ferienhauses hatte uns gefragt wie wir auf sein Häuschen gekommen seien. Nun, gut ich kenne ja die Gegend von regelmäßigen Beobachtungen am Schwarzen Moor. Er hatte bei der Übergabe noch erwähnt, dass am heutigen Abend die Beleuchtung im Dorf abgeschaltet werden würde. Tja, habe ich natürlich nicht geglaubt. Für Beobachtungen war es Samstags noch zu früh, denn kurz nach Mitternacht geht schon der Mond 🌜 auf. Dennoch luge ich kurz raus und tatsächlich sind die Straßenlaternen alle aus. Sieht also gut aus. Meine Tochter und ich gehen kurzentschlossen raus. Im Hof ist es dunkel und die Sommermilchstraße ist im Zenit gut zu erkennen. Etwas dunstig, so denke ich. Schnell die Kamera 📷 auf das Autodach gelegt, um einen Schnappschuss zu machen. Doch erst später beim Bearbeiten der Aufnahmen erkenne ich, dass der Himmel sehr gut war. Von Dunst keine Spur. Stattdessen: Airglow!

Am Wochenende kurz vor Abreise klart es dann teilweise für kurze Zeit auf. Na ja, wir, d.h. mein Sohn und ich, waren für zwei Stunden kurz draußen. Trotz der kurzen Zeit und den widrigen Bedingungen können wir die Milchstraße im Zenit gut erkennen. Das tat gut!

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/9i7zeC" title="Untitled"><img src="https://live.staticflickr.com/65535/51370995456_17ef3cc774_k.jpg"></a>

Die Aufnahme zeigt den Himmel am 7. August kurz nach Mitternacht. Links ist Jupiter, sowie rechts davon Saturn zu erkennen. Rechts im Bild hinter den Wolken ☁️ kommt tatsächlich die Milchstraße kurz zum Vorschein. Eine der ersten Aufnahmen unter dem hiesigen Sternenhimmel mit dem neuen Samyang 12 mm f2 AF bei Blende 4.

!!Das Wetter bessert sich...Endlich!

Die erste richtige Beobachtungsnacht ergibt sich schließlich in der zweiten Augustwoche. Schon komisch, direkt nach meinem Urlaub. Aber so ist es. Und ändern lässt es sich auch nicht.

!Beobachtungsnächte im August

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 14.08. - 15.08.|14. August 2021 - Lange Rhön]]|''14" Dobson & Feldstecher, 4.5 h, Ort: Lange [[Rhön]], SQM-L 21.5-6, +4 °C, 5 Objekte''<br> Schaustücke der Sommermilchstraße, [[Dengel-Hartl 5]]|

Der März begann mit drei guten Nächten ausgesprochen vielversprechend. Diese waren gerade zu unglaublich, vielleicht auch wegen der langen Durststrecke. Die Nächte haben sich bei mir im Kopf „eingebrannt“. Die werde ich so schnell nicht vergessen. Hoffen wir mal, dass das im Verlauf des Frühjahrs weiter so bleibt. Ich hoffe nach dem März auf den kommenden April, denn zum Märzneumond sind Wolken ☁️ & Regen 🌧 angekündigt.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/49kc43" title="Untitled"><img src="https://live.staticflickr.com/65535/51381014200_f62971cc70_k.jpg"></a>

Die Sommernächte gehen schließlich mit nur einer Nacht im August zu Ende.

!Beobachtung im September

Der September ist ein dankbarer Monat, was astronomische Beobachtungen anbelangt. Voraussetzung ist natürlich, dass es klar ist. Dies ist tatsächlich recht selten der Fall.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/qc1m72" title="Untitled"><img src="https://live.staticflickr.com/65535/51455016601_609cb84d8b_k.jpg"></a>

Endlich endet der verregnete Sommer. Obwohl mittlerweile im September, kommt tatsächlich der Sommer zurück. Temperaturen tagsüber bis 30 °C und nachts um die 14 °C. In der Rhön werden immerhin 20 °C erreicht bei ähnlichen Nachttemperaturen. Klar wird es dann endlich auch, und es ergeben sich am Stück drei Nächte.

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 02.09.|2. September 2021 - Lange Rhön]]|''14" Dobson, 3.5 h, Ort: Lange [[Rhön]], SQM-L 21.4, 11 °C, 2 Objekte''<br>[[NGC 7139]], //Laevens 3//|
|[[2.  Nacht / 03.09.|3. September 2021 - Lange Rhön]]|''14" Dobson, 4.5 h, Ort: Lange [[Rhön]], SQM-L 21.4, 10 °C, 3 Objekte''<br>[[NGC 7008]], //Laevens 3//, [[Böhm-Vitense 3]]|
|[[3. Nacht / 04.09.|4. September 2021 - Lange Rhön]]|''14" Dobson, 5.5 h, Ort: Lange [[Rhön]], SQM-L 21.4, 9 °C, ein Objekt''<br>[[NGC 281]]|

!Beobachtung im Oktober

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/497i9M" title="Untitled"><img src="https://live.staticflickr.com/65535/51576830510_568ff8bcdb_k.jpg"></a>

Der Oktober startet schon mal schlecht. Am Tag der Deutschen Einheit regnet es im Westen Deutschlands. Zur Wochenmitte ist langsam Besserung vorhergesagt und für das Wochenende überschlagen sich nur so die Prognosen mit schönem und spätherbstlichen Wetter. Der Wind ist für das Wochenende bereits deftig: Böen bis zu 40 km/h sind angekündigt und der Mittelwind ist mit bis zu 20 km/h auch bereits frisch.

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 08.10.|8. Oktober 2021 - Lange Rhön]]|''14" Dobson, 10 h, Ort: Lange [[Rhön]], SQM-L 21.5, +3 °C, 2 Objekte''<br>M31|
|[[2.  Nacht / 09.10.|9. Oktober 2021 - Lange Rhön]]|''14" Dobson, 10 h, Ort: Lange [[Rhön]], SQM-L 21.6, -2 °C, 3 Objekte''<br>Pismis Moreno 1, [[IC 59 & 63]], M33, M31, NGC 1975|

Am 4. November steht schließlich eine Operation am rechten Arm an. Dies ist ein Resultat aus meinem Sturz mit dem Fahrrad im letzten Jahr. Daher kann ich den November Neumond nicht beobachten, wenngleich das Wetter dies ermöglichen würde. Voraussichtlich ab Dezember beziehungsweise Januar kann ich in das Beobachtungsgeschehen wieder eingreifen.

Norden ist oben. Aufnahme vom 12.03. gegen 14 Uhr. Einzelaufnahme mit Sony A7 (modifiziert) und TMB 100/800 und Baader FFC sowie Herschelkeil von Intes. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/y47qa8" title="Untitled"><img src="https://live.staticflickr.com/65535/51937686264_6e575481f4_h.jpg"></a>

Das Video zeigt die [[Podona|La Podona]], ein Landhäuschen im Nordwesten der Insel La Palma im Ortsteil "El Castillo" in "Las Tricias".

<iframe src="https://player.vimeo.com/video/151999323" width="500" height="281" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe> <p><a href="https://vimeo.com/151999323">La Podona</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28887254475/in/datetaken/" title="Vistas from Hornos"><img src="https://c4.staticflickr.com/9/8853/28887254475_f907c90018_b.jpg" alt="Vistas from Hornos"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Der Sommer ist da. Nur nicht in Mitteleuropa. Aber im Süden. In Spanien.  

!!!In der Serranía de Cuenca gibt es potenzielle Beobachtungsplätze

Die Erkundung eines neuen Beobachtungsplatzes in der Serrania de Cuenca, einem Gebirges östlich von Madrid in der Nähe von Cuenca, entfällt (die Region wird auch "Alto Tajo" genannt). Möchte aber trotzdem hier über die Erkenntnisse berichten, da ich denke, dass sie interessant sind. Die höchsten Berge sind dort über 1800m hoch. Also bestens geeignet für unser Hobby. Leider ist das Wetter nicht ganz so stabil wie in Andalusien, dafür ist die "Calima" Gefahr niedrig. Das Thema wird also vertagt. Interessierten sei an dieser Stelle gesagt, dass mögliche "Basislager" in Tragacete, Griegos und Peralejos de las Truchas liegen. Dort sind zumindest lt. Google Maps Hotels bzw. Unterkünfte vorhanden, die in der Gegend grundsätzlich aber sehr spärlich gesäät sind. Der Himmel soll dem Vernehmen nach ähnlich spektakulär wie in der Sierra de Segura in Andalusien sein. Über die Seeing Bedingungen liegen aber keine Erkenntnisse vor. Zwei Grad weiter nördlich zu Andalusien gelegen, verkürzt sich die Nacht schon um ca. eine halbe Stunde.

Doch zunächst geht es wieder nach Bonilla. Hatte eigentlich vor bereits vor dem Wochenende auf Exkursion zu gehen, aber am Wochenende ist tatsächlich schlechtes Wetter mit Wolken und Gewittern vorhergesagt.

Erst am Wochenende geht es endlich in die Sierra de Segura. In der Tabelle sind alle Beobachtungsnächte und Objekte festgehalten. 

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 26.-27.07.|26. Juli 2016 - Bonilla]]|''14"  Dobson, 2 h, SQM-L 21.5,  5 Objekte''<br>Saturn, Mars, Arp 261, NGC 6140, M13|
|[[2. Nacht / 29.07.-30.07.|29. Juli 2016 - Bonilla]]|''14" Dobson, 3.5 h, 1 Objekt''<br>__[[M13]]__|
|[[3. Nacht / 31.07.-01.08.|31. Juli 2016 - Pinar de Araceli]]|''14" Dobson, 6 h, SQM-L 21.76, 5 Objekte''<br>Arp 261, Hubble 4, NGC 6822 - Barnard's Galaxie, __[[NGC 6786]]__, __[[IC 5146 - Kokonnebel]]__, Abell 6|
|[[4. Nacht / 01.08.-02.08.|1. August 2016 - Pinar de Araceli]]|''14" Dobson, 6 h, SQM-L 21.77, 4 Objekte''<br>__[[Arp 261]]__, __[[NGC 6822 - Barnard's Galaxie|NGC 6822 - Barnards Galaxie]]__, __[[NGC 6140]]__, Abell 6|
|[[5. Nacht / 02.08.-03.08.|2. August 2016 - Pinar de Araceli]]|''14" Dobson, 6 h, SQM-L 21.62, 4 Objekte''<br>__[[M17 - Schwanennebel|M17 - Schwanennebel mit 14 Zoll]]__, __[[NGC 6131]]__, __[[NGC 7027|NGC 7027 mit 14 Zoll]]__, __[[Abell 6]]__|
|[[6. Nacht / 03.08.-04.08.|3. August 2016 - Pinar de Araceli]]|''14" Dobson, 6 h, SQM-L 21.72, 7 Objekte''<br>__[[Arp 297]]__, __[[Sh2-101 - Tulpennebel]]__, NGC 7293 - Helix Nebel, M27, IC 1805, NGC 7000 |
|[[7. Nacht / 04.08.-05.08.|4. August 2016 - Pinar de Araceli]]|''14" Dobson, 6 h, SQM-L 21.8, 3 Objekte''<br>__[[M20 - Trifidnebel]]__, //UGC 9749 - Ursa Minor Dwarf//, NGC 6210|
|[[8. Nacht / 05.08.-06.08.|5. August 2016 - Pinar de Araceli]]|''14" Dobson, 5 h, SQM-L 21.56, 2 Objekte''<br>__[[NGC 6818 - Little Gem Nebula]]__, NGC 6857|
|[[9. Nacht / 06.08.-07.08.|6. August 2016 - Pinar de Araceli]]|''14" Dobson, 6 h, SQM-L 21.7, 2 Objekte''<br>Arp 297, Sh2-101 - Tulpennebel, __[[NGC 6623]]__, __[[NGC 6939 & 6946]]__, NGC 891 |
|!9 Nächte|!Gesamtbeobachtungszeit 46 h, über 23 Objekte beobachtet (z.T. mehrfach), davon 16 gezeichnet|

Auf der Rückfahrt geht es durch die Heimat von Cervante's Don Quijote, durch verschlafende Dörfer und über Straßen, die von langen Weinfeldern oder Olivenhainen gesäumt sind. Im Süden nicht Neues. So ist es und so ist es gut. 

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/28102835093/in/datetaken/" title="Just before dawn at Pinar de Araceli"><img src="https://c6.staticflickr.com/9/8303/28102835093_170f8c511a_b.jpg" alt="Just before dawn at Pinar de Araceli"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/42180905152/in/dateposted-public/" title="La Sagra"><img src="https://farm1.staticflickr.com/911/42180905152_e9732cd498_h.jpg" alt="La Sagra"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Gute Tradition ist es bei mir im Sommer in Spanien zu beobachten. Diesmal war ich wieder vier Nächte in [[Bonilla|Bonilla - Mirador de las Estrellas]]  (Castilla - La Mancha ca. 40° Nördlicher Breite und 900m üNN) sowie drei weitere im [[Pinar de Araceli (PDA)]] (Andalusien ca. 38° Nördlicher Breite und 1700m üNN) an.

Ich bin mit dem einen oder anderen Sternfreund verabredet. Mal schauen, ob sich tatsächlich eine gemeinsame Beobachtung ergibt.
Und ich traf in vier Nächten Roberto in Bonilla. Er ist ein ausgewiesener Zeichner und hat auch eine Webseite [[Roberto - Dibujo del Cielo]].

Die Sommer in Spanien sind sehr heiß und trocken. Hier werden schon mal die 40° Grad im Schatten erreicht, allerdings bei Luftfeuchte um die 20-30%. In den letzten Jahren war es zum Glück im August nicht ganz so heiß und so ließ es sich doch recht gut aushalten. Nachts fallen die Temperaturen auf 900m nicht unter 17° C. Zu Beginn einer Nacht liegen sie noch bei 36° C. So lässt es sich aushalten.

Der Himmel über Bonilla, ca. 120 km von Madrid entfernt, lässt sich mit den besten mir bekannten Plätzen in Deutschland vergleichen (z.B. Sternenpark Rhön). Ein Beobachtungskumpel [[Manuel|http://www.manuelj.com]] betreibt dort mittlerweile ein kleines Observatorium. Er schätzt den Himmel dort auf  Bortle 3 sowie misst im Mittel dort SQM 21.5, was ich bestätigen kann. 

Besser noch ist der Pinar de Araceli in Andalusien. Durch seine ca. 1000m höhere Lage ist die Transparenz noch mal deutlich besser. Ein echter Hochgebirgstandort (ca. 1.700-2000m üNN). Hier hat die Sonne beim Abdecken keinen Hof mehr und der Ort hat sehr häufig bestes Seeing. Darüber hinaus ist er nochmal deutlich dunkler und weist Bortle 2, sowie praktisch durchgehend  SQM-L Werte um 21.6 auf. Ein einmaliger Beobachtungsplatz, der nur durch noch perfektere Plätze, wie z.B. Namibia getopt wird, aber nicht immer, z.B. nicht beim Seeing.

An beiden Plätzen ist im August ab ca. 22:45 Uhr astronomische Nacht, die bis kurz vor 06:00 Uhr andauert. Ausreichend Zeit also, um länger zu beobachten. Die Objekte stehen im Süden mal locker 10° höher und so ist der Skorpion vollständig zu sehen.

Nach der Ankunft auf dem Flughafen in Madrid waren zunächst nur wenige Sterne zu erkennen. Markant war der "Teapott", der gut aus dem fahrenden Auto zu sehen war. Im Dorf gegen Mitternacht angekommen, war der Himmel schon gut. Die Sommermilchstraße gut zu sehen, trotz der bedrohlich nahen Straßenlaternen. Leider blieb keine Zeit und die nächsten Tage kamen Schleierwolken auf. Eine Wetterbesserung soll kurzfristig für klares Wetter sorgen. Also geht es sonntags los. Der Mond wird um 3:30 Uhr aufgehen. Bleiben insgesamt vier ein halb Stunden Beobachtungszeit. Nicht schlecht! Das heißt von Madrid etwa eine ca. eineinhalb Stunden Fahrt hin und zurück. Aber zum Glück geht es über gut ausgebaute Autobahnen, so dass die Fahrt kaum anstrengt. Ich habe auch vor ein All-Sky Panorama zu machen. In der Beobachtungsliste stehen diesmal nur wenige Objekte.

1. Nacht: [[09. August 2015 - Bonilla]]

Nach einer Pause von einem Tag geht's wieder nach Bonilla. Roberto, der Mitbeobachter von vorgestern, fährt heute auch. Der Mond ist kein Thema, so dass heute sechs Stunden locker beobachtet werden kann. Ab Freitag soll das Wetter dann auch in Andalusien besser werden.

2. Nacht: [[11. August 2015 - Bonilla]]

Nach einer bewölkten Nacht ist es super klar. Das Wetter soll eine Nacht halten.

3. Nacht: [[13. August 2015 - Bonilla]]

Und wider Erwarten geht es nach einem weiteren Tag Pause weiter.

4. Nacht: [[15. August 2015 - Bonilla]]

Die Nacht war zwar aufgrund teilweise durchziehender Bewölkung nicht optimal, aber dafür die Transparenz hervorragend.

Am 17. August geht es dann in den Pinar de Araceli. Dort verbringe ich insgesamt drei Nächte, die auch von durchziehender Bewölkung und hoher Luftfeuchte geprägt sind.

5. Nacht: [[17. August 2015 - Pinar  de Araceli]]

6. Nacht: [[18. August 2015 - Pinar de Araceli]]

7. Nacht: [[19. August 2015 - Pinar  de Araceli]]

Insgesamt war das Wetter im August untypisch für Spanien. Die Temperaturen waren zu niedrig, nach einer enormen Hitzewelle im Juni und Juli. Es zogen Tiefs durch und es regnete sogar.

Die Ausbeute an Beobachtungen und zugehörigen Zeichnungen ist gering. Das macht aber nichts, da ich schließlich im Urlaub bin :) 
Ein Ergebnis ist nach den Aufenthalten in Namibia im Mai und jetzt in Spanien ein Vergleich zur [[Himmelsqualität]], der um weitere Standorte auch in Deutschland erweitert wird.

Auf dem spanischen Festland gibt es vor allem im Süden hervorragende Beobachtungsbedingungen. 

<ul><li>[[Bonilla - Mirador de las Estrellas]]</li><li>[[Pinar de Araceli (PDA)]]</li><li>[[Alto Tajo]]</li></ul>

Um die Frage vorweg zu beantworten: ja! Aber der Reihe nach. Dazu möchte ich zwei Beobachtungsnächte in der Rhön vergleichen. Der Vergleich bezieht sich auf die Nächte vom [[24. März|24. März 2022 - Lange Rhön]], sowie [[27. März 2022|27. März 2022 - Lange Rhön]] kurz danach. Am 24. leichte Calima, am 27. hingegen nahezu perfekte Transparenz. Die beiden folgenden Aufnahmen zeigen zur etwa gleichen Zeit (Aufnahmezeitpunkt wenige Minuten versetzt in den jeweiligen Nächten). Links 21.7 im Zenit, rechts 21.4. In beiden Fällen handelt es sich um Mittelwerte.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/QjJ6qx" title="Untitled"><img src="https://live.staticflickr.com/65535/51967007334_324ebbeea1_k.jpg"></a>

Beide Aufnahmen haben die gleiche Belichtungszeit und auch die anderen Parameter sind gleich. Allerdings ist der Weißabgleich leicht anders. Vermutlich liegt es daran, dass die Lichtverschmutzung bei schlechterer Transparenz stärker zu Tage tritt, denn würde man den Weißabgleich bei beiden Bildern identisch vornehmen, so würde sich zeigen, dass in der weniger transparenteren Nacht der Himmel deutlich grünlich erscheint, was auf einen höheren Anteil der Streuung von Kunstlicht hindeutet. Zur Vereinfachung wurde der Weißabgleich manuell vorgenommen. Eine bei beiden Bildern  identische Kontrastanpassung wurde ebenfalls durchgeführt.

Man sieht recht deutlich, dass links auf der Aufnahme vom 27. März der Zenitbereich deutlich dunkler ist. Darüber hinaus ist die grüne Lichtverschmutzung am Horizont ebenfalls klarer erkennbar. Visuell ist dies viel stärker wahrnehmbar, als es der Fotovergleich oben zeigt: insbesondere bei niedrigerem Stand ist die Milchstraße viel deutlicher sichtbar. Im Fall vom 24. März ist die Wintermilchstraße tatsächlich kaum wahrnehmbar gewesen. Am 27. hingegen war sie hingegen sehr deutlich.

Der Gegenschein ist links schlecht aber gerade so zu erkennen, rechts unter den schlechteren Bedingungen ist es praktisch aussichtslos.

Bei transparenten Nächten in der Rhön kann man davon ausgehen, dass der Zeitbereich praktisch frei von Lichtverschmutzung ist. Hier kann man ähnlich gut beobachten wie an einem der besten Standorte in der Welt. Ist die Transparenz allerdings herabgesetzt, gilt dies nicht mehr. Dann muss man mit Einbußen rechnen. Wichtig ist: am Horizont wird nicht beobachtet! Dort ist neben der Extinktion auch die Lichtverschmutzung so stark, dass außer in Ausnahmen, zum Beispiel bei hellen Objekten oder zum Spaß, eine Beobachtung kaum lohnt. Eigentlich trivial, aber warum erwähne ich das? Ganz einfach, denn wer dort beobachtet kann das natürlich tun, aber Schlüsse zur Sichtbarkeit von Details etc. bei der visuellen Beobachtung von Objekten kann man eigentlich nicht zuverlässig treffen. Denn dort sind die Bedingungen einfach viel zu schlecht!

Um das kurz illustrieren hier zwei Fotos. Aufnahmeeinstellungen und Bearbeitung, sowie Uhrzeit vergleichbar.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1zV3X4" title="Untitled"><img src="https://live.staticflickr.com/65535/51967446500_18d7192af5_k.jpg"></a>

Oben am Morgen des 28. März. Unten 26. März. Aufnahmezeitpunkt jeweils ca. 3 Uhr morgens Winterzeit.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/W3BS3C" title="Untitled"><img src="https://live.staticflickr.com/65535/51965870417_30cf6e2748_k.jpg"></a>

Man sieht hoffentlich deutlich den Unterschied. Beide Fotos wurden identisch entwickelt bis auf den Weißabgleich. Man sieht unten auch einen leichten Hof um Vega. Offenbar ein Effekt der Nebelbildung.

!Fazit

Man sieht den Unterschied! Wichtig ist zu verstehen, dass er mit bloßem Auge häufig stärker wahrnehmbar ist als auf Fotografien. Aber ich denke die beiden oben gezeigten Bilder zeigen deutlich, wie stark der Unterschied tatsächlich ist.

Zu Weihnachten habe ich mir einen sogenannten Clip-Filter für meine Sony A6000 gekauft. Die Sony A6000 habe ich seit etwa einem Jahr und sie ist astromodifiziert. Leider funktioniert nach dem Umbau von DSLRs der Weißabgleich nicht mehr und die Bilder lassen sich zwar bearbeiten, aber nicht immer einfach. Darüber hinaus ist die HII-Empfindlichkeit zwar gut, aber nicht sehr gut. Im direkten Vergleich mit dem Kodak E200 (das war ein Diafilm) fand ich die Rotempfindlichkeit echt mies.
Ich habe mir deshalb einen Filter zugelegt: STC Multispectra. Es handelt sich lt. Hersteller um einen Breitbandfilter zum Kampf gegen Lichtverschmutzung. Der Filter hat ca. 180 EUR plus ca. 30 EUR Zoll gekostet. 

Erste Tests mit dem Filter waren sehr ermutigend. Der Weißabgleich ist wieder fast perfekt hergestellt. HII-Regionen kommen richtig kräftig rüber. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/x08rqt" title="Untitled"><img src="https://live.staticflickr.com/65535/49502298816_ebb2c1444c_k.jpg"></a>

Die Belichtungszeiten verdoppeln sich fast, möchte man das Bild gleich hell belichten. Das Bild ist sehr ruhig. Allerdings werden - so mein erster Eindruck - sehr schwache Sterne ebenfalls „unterdrückt“. 

Hier ist nochmal ein Bsp. für eine Aufnahme mit dem Filter. Links oben ist sogar schwach Simeis 147, auch als „Spagettinebel“ bekannt, zu erkennen. Wirklich hervorragend das Ergebnis! 

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/49534854277/" title="Fuhrmann"><img src="https://live.staticflickr.com/65535/49534854277_60b5d234d7_k.jpg" alt="Fuhrmann"></a>

Der Filter ist gut verarbeitet und hat am Rand kleine Klebeflächen, die beim Einsetzen in die Kamera den Filter in seiner Position vor dem Chip halten sollen. Das funktioniert leider nicht. Ich musste den Filter vor dem Chip mit Isolierband zusätzlich fixieren. Das ist kein Drama, da der Filter aufgrund der o.a. Vorteile jetzt dauerhaft in der Kamera verbleibt.
Warum das so ist, kann ich nur schwer nachvollziehen. Ich vermute, dass die A6000 mit dem Verschluss auch keine andere Möglichkeit zulässt. Wie auch immer. Der Filter kann eigentlich auch dauerhaft im Kamerabody verbleiben.
Beim Einsatz von Objektiven verschiebt sich allerdings durch den Filter der Fokus z.T. erheblich und muss experimentell neu gefunden werden.

Objekt: NGC 7317 / 18 A & B / 19 / 20 & C, Teleskop: 21" f/3.8 Newton, Vergrößerung: 378x, Filter:-, Bedingungen: SQM-L 21.4, Ort: [[Stumpertenrod]], Zeitpunkt: [[15.10.2023|15. Oktober 2023 - Stumpertenrod]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/N61k872376" title="Stephan&#x27;s Quintett"><img src="https://live.staticflickr.com/65535/53335685423_3467fe8e70_h.jpg" alt="Stephan&#x27;s Quintett"/></a>

Objekt: NGC 2685, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 - 290x, Filter:-, Bedingungen: SQM-L 21.5, Ort: Wasserkuppe, Zeitpunkt: [[29.11.2016|29. November 2016 - Wasserkuppe]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31711765351/in/datetaken/" title="Stephan&#x27;s Quintett"><img src="https://c8.staticflickr.com/1/494/31711765351_4073c0b719_b.jpg" alt="Stephan&#x27;s Quintett"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31018341743/in/datetaken/]]

Objekt: Stephenson 3-1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.76, Ort: Llanos de las Animas, Zeitpunkt: [[13.01.2018|13. Januar 2018 - La Palma]], Seeing 4

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40670005320/in/dateposted-public/" title="Stephenson 3-1"><img src="https://farm2.staticflickr.com/1726/40670005320_b530b064f8_c.jpg" alt="Stephenson 3-1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/42427640882/in/dateposted-public/]]

Objekt: Stephenson 4-1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter:OIII, Bedingungen: SQM-L 21.6, Ort: Pinar de Araceli, Zeitpunkt: [[12.07.2018|12. Juli 2018 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41933180080/" title="Stephenson 4-1"><img src="https://farm2.staticflickr.com/1813/41933180080_a4bb9cf7e2_c.jpg" alt="Stephenson 4-1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41933180090/in/photostream/]]

Objekt: STB Orion, Kamera: astromod. Sony A6000 (APS-C) mit Sigma 56mm f1.4 @f1.7, Filter: STC-Multispectra Clip-Filter, 10x60 sec, Bedingungen: SQM-L 21.7, [[Athos Star Campus]], [[19.09.2019|18. September 2020 - La Palma]], Omegon Astrotracker NS, Stacking in Sequator, finale Bearbeitung in LR iOS

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/640vS5" title="Orion 4"><img src="https://live.staticflickr.com/65535/50890837746_e788371f15_k.jpg" alt="Orion 4"></a>

Das Video zeigt Strichspuren um den Südpol.

<iframe src="https://player.vimeo.com/video/220267079" width="640" height="360" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<p><a href="https://vimeo.com/220267079">South Pole</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

Das Video zeigt Strichspuren über Tivoli.

<iframe src="https://player.vimeo.com/video/220321316" width="640" height="360" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<p><a href="https://vimeo.com/220321316">Star Trails over Tivoli</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

In Stumpertenrod kann man auf dem ehemaligen ITV-Gelände bei der Sternwelt Vogelsberg beobachten. Hier gibt es eine große Wiese und es steht ein Haus mit Toiletten und Waschmöglichkeiten zur Verfügung. 

Die Gemeinde liegt recht verkehrsgünstig an der A3. Von dort sind es etwa 20 Minuten, wenn man bei Mücke abfährt.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/vfd54b" title="Untitled"><img src="https://live.staticflickr.com/65535/51926128021_68bc411587_k.jpg"></a>

Die Bedingungen sind etwas schlechter als in der Rhön, aber erstaunlich gut! Unterschied ist viel geringer als man zunächst glauben mag. Bei sehr guter Transparenz werden hier Werte um 21.7 und in Ausnahmefällen sogar 21.8 erreicht. 21.4 ist hier Standard. Gemessen natürlich im Zenit!

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/g18g45" title="Stumpertenrod"><img src="https://live.staticflickr.com/65535/51925912263_acd53834f3_k.jpg" alt="Stumpertenrod"></a> Aufnahme zeigt den Himmel unter Ausnahmebedingungen: 21.8 mit dem SQM-L im Zenit. Links unterhalb des Löwen ist sogar der Gegenschein zu erkennen. Die Lichtbrücke auch. Man muss schon genau schauen, damit man sie erkennen kann. Visuell war das nicht möglich.

Nach Osten und Südosten ist der Himmel nahzu streulichtfrei, was auf fehlende Lichtverschmutzung hindeutet. Das ist sehr erfreulich, aber auch in Deutschland sehr ungewöhnlich.

!Bedingungen

Vor allem im Herbst, Winter und sogar im Frühjahr neigt dieser Platz zu Nebelbildung. Die liegt vor allem daran, dass in der Nähe ein kleiner Bach verläuft. Zudem ist das Gelände abschüssig, beziehungsweise liegt in einer Mulde.

Die Gemeinde befindet sich übrigens quasi in Laufweite vom Gelände. Nachts hört man den Glockenschlag der Kirche so deutlich. Im Süden befindet sich ein Windpark, der auch nachts zu hören ist. 

An Neumond treffen sich hier in der Regel viele Leute. Daher kann man im Vorfeld checken, wie viele es sind, in dem man die Webcam anschaut. In der Regel hat man es vor Ort dann mit Astrofotografen zu tun. Man sollte auch nicht zu spät anreisen, da man sonst direkt vom Platz geworfen wird, denn die Leute vor Ort wollen natürlich pünktlich anfangen und reagieren allergisch auf Licht. Vor Ort auch gilt ein strenges Licht-Regime!

!Fazit

Von Frankfurt aus ist der Platz in circa einer Stunde erreichbar. Man bekommt im Gegenzug einen sehr guten Himmel. Infrastrukturell ist der Platz sehr gut angebunden. Ich nutze ihn vor allem, wenn die Beobachtungszeit, z.B. aufgrund von Mond beziehungsweise „weißen Nächten“ im Sommer zu kurz ist, um in die weiter entfernte Rhön zu fahren.

Heute kam das Paket von [[Sumerian Optics|http://www.sumerianoptics.com/en/]] an. Inhalt ist ein neues Teleskop, das mit meinem vorhandenen 350mm Orion Spiegel betrieben werden soll.

<a href="https://www.flickr.com/photos/106029581@N02/17157064232" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8740/17157064232_15c6061842_z.jpg"  alt="Untitled"></a>

Alles ist sehr kompakt. 

<a href="https://www.flickr.com/photos/106029581@N02/17158049941" title="  by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8791/17158049941_3664d8d196_z.jpg" alt=" "></a>

Auch der Aufbau gestaltet sich zügig. Kolli geht auch gut. Gegen 23 Uhr dann das First Light aus dem geöffneten Wohnzimmerfenster heraus. Ziel war Procyon. Alle Okulare kommen in den Fokus. Abbildung sieht auch gut aus. Bin sehr angetan. 

Vorteile gegenüber dem alten Teleskop:

#Deutlich stabiler, da dickere Stangen
#Sehr große Höhenräder. Dadurch hält das Teleskop selbst schwerste Okulare.
#Kleinerer Fangspiegel
#Besitzt eine Fangspiegelheizung
#Besserer Fokussierer (Moonlite)
#Insgesamt deutlich schnellerer Aufbau
#Fangspiegel kann abmontiert werden 
#Hauptspiegelkühlung über Ventilatoren möglich

Der letzte Punkt ist nicht wichtig für mich, da der Hauptspiegel ohnehin nach hinten offen verbaut ist und eine zusätzliche Kühlung aus meiner Sicht deshalb nicht erforderlich ist.

!!!Fazit nach einem Jahr Benutzung

Die Struktur wird wie auf dem Foto gezeigt als kompakter "Koffer" in einem Stück zusammen gepackt. Das Unterteil fungiert als Rockerbox. Das Oberteil ist bei mir als optionaler "Drehteller" ausgelegt für unebenes Gelände. Wenn man diesen weglässt, spart man nochmal 2.5 kg ein. Insgesamt passt alles in einen klassischen Samsonite Hartschalenkoffer.  Der Spiegel wird separat "verpackt". Nutze dafür die Spiegelzelle des alten Schulten Teleskops, auf die eine 6mm Platte aus Birke-Multiplex verschraubt wird. Mit zwei Koffern geht es dann inklusive Klamotten los. 40kg an Gepäck sind das Minimum.
Fanspiegel transportiere ich in einem Papprohr. Für den 65mm Fangspiegels eignet sich die Verpackung eines süßen Weißweins, des "White Porto" optimal. Spiegel passt dort rein ohne zu verrutschen. Der Wein ist auch toll und sei hier auch empfohlen :)

__Vorteile:__

''+'' Sehr Stabil. Vermutlich in Relation zum Gewicht optimal umgesetzt.<br>
''+'' Sehr leicht. Ca. 22 kg. Ohne zweite Abdeckung können noch 2 kg eingespart werden.<br>
''+'' Sehr große Höhenräder. Damit auch für schwere Okulare gut nutzbar.<br>
''+'' Fangspiegel abmontierbar.<br>
''+'' Sehr guter Okularauszug (Moonlite)<br>
''+'' Für schwere Okulare geeignet. 9 mm 120° Okular (ca. 1300g) bis ca. 30° Höhe kein Gegengewicht notwendig. <br>
''+'' Optional kann eine Abdeckplatte als "Drehteller" neben dem standardmäßig mitgelieferten sehr flachem und leichtem "Dreibein" genutzt werden. Man gewinnt damit ca. 6 cm an Höhe, was im unebenen Gelände nützlich sein kann.<br>
''+'' Gute Verarbeitung.<br>
''+'' Passgenaue "Socke" erhältlich (USA)<br>

__Nachteile:__

''-'' Keine Anleitung mitgeliefert. Ist aber für korrekte Verstauen der Einzelteile für die Reise nötig, sonst ist man ein bisschen "verloren".<br>
''-'' Teleskop nur bis ca. 10° Höhe über Horizont nutzbar. Auf La Palma bedeutet dies, das Omega Centauri knapp __nicht__ beobachtbar ist.

![[Superthin-Galaxien]]

!!''__Messier__'' > NGC > IC > UGC > PGC > Misc

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!!Messier > ''__NGC__'' > IC > UGC > PGC > Misc

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!!Messier > NGC > ''__IC__'' > UGC > PGC > Misc

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!!Messier > NGC > IC > ''__UGC__'' > PGC > Misc

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!!Messier > NGC > IC > UGC > ''__PGC__'' > Misc

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!!Messier > NGC > IC > UGC > PGC > ''__Misc__''

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Angeregt durch die Seite [[deepsky-visuell.de|http://www.deepsky-visuell.de/Projekte/SuperthinG.htm]] habe ich ebenfalls dieses mittlerweile legendäre Projekt gestartet.

|!Nr.|!Datum, Öffnung, Beobachtungsbedingungen, -platz, Beschreibung|
|''NGC 100''|11.09.2015, 14", 114x, Bortle 3, Rhön, Schöne Nadel, die zur Mitte hin heller wird und an den Enden diffus ausläuft. [[Zeichnung|NGC 100]]|
|''UGC 3573''|03.01.2016 0:25, 14", 114x, Bortle 1, RDLM, Nur mit guter Sternkarte auffindbar. Die sehr schwache und kleine Galaxie liegt in der reichen Wintermilchstraße des Sternbildes Zwillinge. Bei 65 facher Vergrößerung und sehr großer AP wird dann auch schon ein unruhiger Schimmer an der richtigen Stelle sichtbar. Mit indirektem Sehen wird bei 114 fach schließlich eine kleine nadelförmige Galaxie sichtbar. Sternartiges Zentrum. Unweit davon entfernt zeigt sich eine weitere ovale, sogar einfacher, weil hellere Galaxie. [[Zeichnung|UGC 3573]]|
|''UGC 3697''|Integral Sign Galaxy, 16.03.2015 0:25, 14", 114x, Bortle 1, RDLM, Bei 114 fach zeigt sich zunächst eine dünne Nadel. Südöstlich hellere ovale Begleitgalaxie UGC 3714. Nach langem und sehr geduldigem Beobachten mit mehreren Pausen zeigt sich blickweise, ab und an, der Schweif an der westlichen Seite. Dann wirkt auch der Zentralteil etwas heller auf fast der gesamten Länge. Bei 168 fach auch zu erkennen, aber der Schweif zeigt sich nicht. [[Zeichnung|UGC 3697 - Integral Sign Galaxy]]|
|''UGC 5341''|UGC 5341, Spiral Galaxy in Leo, 18.03.2015 01:40, 14", 114x, Bortle 1,  RDLM, Gx in Kantenlage. Indirekt schwierig, kann aber gerade so gehalten werden. UGC 5339 in der Nähe deutlich einfacher.|
|''UGC 7321''|03.05.2014, 14", 114x, Bortle 3, 21.5-21.6 Z, Rhön bei Fladungen<br>Nur mit genauer Karte auffindbar. Dann zeigt sich an der richtigen Stelle indirekt eine sehr, sehr dünne und lang gezogene Nadel. Schwach. Kann nicht ständig gehalten werden, ist aber trotzdem indirekt ganz gut zu sehen, wenn man sie erstmal aufgespürt hat.|
|''NGC 4565''|11.05.2013, 14", 114x, Bortle 3, 21.48 Z, Bonilla<br>Kreidestrich! Edge-On Gx mit zentralem relativ hellem Bulge, der durch zentrales Staubband geteilt ist. Kernregion relativ hell. [[Zeichnung|NGC 4565]]|
|''UGC 11994''|20.08.2015, 14", 114x, Bortle 1-2, 21.6 Z, PDA<br>Unscheinbare, recht kleine, schwache Galaxie in Kantenlage. Achsverhältnis 1:7. Keine Helligkeitszunahme zum Zentrum hin. [[Zeichnung|UGC 11994]]|

Glossar:<br>
PDA - Pinar de Araceli (1700 üNN)<br>
RDLM - Roque de los Muchachos (2300m üNN) <br>
La Podona - (1000m üNN)<br>
Z - Zenit

Das Video zeigt einen Zeitraffer vom Südpol.

<iframe width="560" height="315" src="https://www.youtube.com/embed/rEQItkRqyGk" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>

Objekt: Terzan 3, Teleskop: 25" f/4 Newton, Vergrößerung: 100-280x, Filter:-, Bedingungen: SQM-L 21.83, Ort: Tivoli Astrofarm, Zeitpunkt: [[23.05.2017|23. Mai 2017 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/35394299311/in/datetaken-public/" title="Terzinen 3"><img src="https://c1.staticflickr.com/5/4260/35394299311_1ca9678452_o.jpg" alt="Terzan 3"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/35485905806/in/datetaken-public/]] [[High Resolution |https://www.flickr.com/photos/106029581@N02/34683651484/in/datetaken-public/]]

Objekt: Terzan 6, Teleskop: 25" f/4 Newton, 
Vergrößerung: 125x, Filter:-, Bedingungen: Bortle 1, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[02.07.2022|02. Juli 2022 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/76Y21D7086" title="Terzan 6"><img src="https://live.staticflickr.com/65535/52249295000_a4e5f073d3_c.jpg"  alt="Terzan 6"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/52249295005/in/photostream/]]

Objekt: Terzan 8, Teleskop: 25" f/4 Newton, 
Vergrößerung: 278x, Filter:-, Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[08.06.2019|08. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/UtP764" title="Terzan 8"><img src="https://live.staticflickr.com/65535/49630857678_8a6d76f05c_c.jpg" alt="Terzan 8"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49631648422/in/photostream/]]

Die Terzan Kugelsternhaufen bilden einen sehr kleinen Katalog von nur 11 Objekten.

|!Nr.|!Datum, Öffnung, Beobachtungsbedingungen, -platz, Beschreibung|
|''1''|24.08.2014 22:50 Uhr, 14", 114x, Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>Nördlich eines Dppelsterns zeigt sich bei 168 fach ein kleiner unscheinbarer verwaschener Fleck. Indirekt blitzen immer wieder Einzelsterne auf. Westlich ist ein schwacher Stern zu erkennen. Unklar ist, ob er zum KS gehört oder nicht.|
|''2''|24.05.2015 0:20 Uhr, 25", 120x, Bortle 1, SQM-L 21.67 Z, Tivoli Astrofarm<br>Sehr schwaches, rundes bis ovales Glimmen um zwei Sterne. Beobachtung ist eindeutig, da Vergleich an anderen Sternen ähnlicher Helligkeit kein solches Glimmen erkennbar ist. Vergrößerung 120 fach.|
|''3''|24.05.2017 Uhr, 25", 100x, Bortle 1, SQM-L 21.38 Z, Tivoli Astrofarm<br>Bei 100 facher Vergrößerung zeigt sich ein zartes, rundes Glimmen mit leichter Helligkeitszunahme zum Zentrum hin. Im Zentrum zeigt sich ein recht heller Stern, sowie abseits weitere 4-6 schwache Sterne. [[Zeichnung|Terzan 3]]|
|''4''|25.05.2017 Uhr, 25", 100x, Bortle 1, SQM-L 21.6 Z, Tivoli Astrofarm<br>Ganz schwaches Glimmen in der Nähe eines Sterns. Blickweise treten bei 100 fach einige Sterne hervor. Verliere aber bei Steigerung der Vergrößerung das Objekt.|
|''5''|24.08.2014 23:25 Uhr, 14", 114x, Bortle 1-2, SQM-L 21.5 -21.6 Z, PDA<br>Bei 168 fach zeigt sich ein ganz schwaches rundes Glimmen zwischen zwei schwachen Sternen. Der KS wird von diesen geradezu eingerahmt. Nördlich taucht bei indirekter Beobachtung auch noch ein weiterer noch schwächerer Stern auf, der aber offensichtlich nicht zum KS dazugehört. Keine Einzelsterne gesehen.|
|''6''|[[02.07.2022|02. Juli 2022 - Tivoli Astrofarm]], 25", 125x, Bortle 1, Tivoli Astrofarm,<br> Deutlich schwieriger als Palomar 15. Rundes, sehr schwaches Glimmen, direkt neben schwachen Stern. Keine Einzelsterne zu erkennen. Kann indirekt nicht gehalten werden, blitzt aber immer wieder sicher auf. [[Zeichnung|Terzan 6]]|
|''8''|[[08.06.2019|08. Juni 2019 - Tivoli Astrofarm]], 25", 278x, Bortle 1, SQM-L 21.9 Z, Tivoli Astrofarm,<br> Bei 100 fach bereits gut erkennbar. Runder Glow zwischen zwei recht hellen Sternenketten. Auf den ersten Blick ein halbes Dutzend Einzelsterne wahrnehmbar, die in Zentrumsnähe stehen. Im Zentrum stehen die hellsten Sterne, genauer drei, die ein gleichseitigen Dreieck bilden. Auch die typische Helligkeitszunahme bei KS zum Zentrum hin ist gut erkennbar, wenn dies sich auch nicht in Einzelsternen zeigt, sondern am diffusen Glow. Bei geduldiger Beobachtung und höherer Vergrößerung von 278 fach blitzen immer wieder Einzelsterne auf auf. Manche lassen sich indirekt halten. Schöner Anblick. [[Zeichnung|Terzan 8]]|


Glossar:<br>
PDA - Pinar de Araceli (1700 üNN)<br>
RDLM - Roque de los Muchachos (2300m üNN) <br>
La Podona - (1000m üNN)<br>
Z - Zenit

Ein Novize in Sachen astronomische Beobachtungen sprach mich tags zuvor bezüglich einer Beobachtungsnacht an. Ich winke natürlich ab, mit dem Verweis auf das Wetter. Am Morgen checkte ich dennoch die Wetterseiten und Wetteronline.de meldet eine klare Nacht, aber nur für die Rhön. Andere Wetterdienste melden Wolken, aber Meteoblue.com schließlich schließt sich der positiven Einschätzung an.
Daher flugs eine E-Mail an den Kollegen geschrieben und am Mittag das noch zuvor vertäute Teleskop halbwegs zusammengebaut. Wir brechen schließlich gegen 16:00 Uhr in Frankfurt auf, kommen aber vor 17:00 Uhr nicht auf die Autobahn. Auf dem Weg dorthin Wolken ohne Ende. Zweifel kommen auf.
So sind wir erst bei einsetzender Dämmerung am Beobachtungsplatz Nähe Fladungen in der Rhön. Es zeigt sich am Dämmerungshimmel Richtung Westen ein schmaler wolkenfreier und sehr transparenter Himmel. 

Ich machte erst mal den Maschinist und baute das Teleskop auf. Wir hatten mit einer geschlossenen Schneedecke zu kämpfen und das letzte Stück zum Beobachtungsplatz führte über eine Eispiste. Hier kommen manchmal nachts Autos vorbei und wir parken deshalb das Auto etwas abseits im tieferen aber gefrorenen Schnee. Wir waren ja zu zweit, so dass im Falle der Fälle einer von uns schieben kann und uns wieder direkt auf die Eispiste bringen würde.

Gegen 20:00 Uhr waren wir beobachtungsbereit. Im Süden war die Wasserkuppe zu sehen und leider auch ein hell beleuchteter Skihang. Der störte die Beobachtung insbesondere mit bloßem Auge ungemein. Aber um 22:00 Uhr wurde abgeschaltet. Wir bestaunen zunächst die Wintermilchstraße, die von Horizont zu Horizont zu sehen ist. Zunächst von Wolken hin und wieder unterbrochen, klarte es aber zunehmend auf.  

Es wehte ein mäßiger Wind aus Südost, der aber sehr unangenehm war. Hätte er etwas stärker geblasen, wäre vermutlich an beobachten nicht zu denken gewesen. Die Wetterstation auf der Wasserkuppe meldete circa 0° Celsius und 55 % Luftfeuchtigkeit, sowie Wind zwischen 25-30 km/h mit Böen bis 40 km/h. Die Fernsicht erreichte um 1:00 Uhr einen Spitzenwert von 70 km. 

Das Seeing war nicht überragend, aber nach meinem letzten La Palma Aufenthalt war ich dankbar, dass sich die Sterne scharf stellen lassen.

!!14.02.2014 Rhön bei Fladungen ca. 20:30 - 04:30 Uhr

So beobachteten wir zunächst mit bloßem Auge den Himmel und anschließend schauten wir uns einige Schaustücke des Winterhimmels an. Mein Mitbeobachter tauchte schließlich mit seinem neuen Feldstecher in die Wintermilchstraße ein, während ich mich an einigen interessanten Objekten abarbeitete.

Am Anfang zeigte das SQM-L Werte um 21.1 an, die sich im Laufe der Nacht auf größer 21.4 mauserten.

Erste Objekte sind M46 & M47, die so gar freisichtig gut zu erkennen sind. Während sich der Kollege zuerst an M46 mit NGC 2438 abmüht, bin ich etwas unentschlossen, was ich denn nun beobachten sollte. Für richtig schwere Sachen, wie ein paar Abell schien mir die Transparenz nicht ausreichend zu sein und so klapperte ich ein paar Objekte ab, die vor einem Monat in La Palma auf dem Plan standen.

''NGC 1501'', ''Planetary Nebula in Camelopardalis'', ''21:25:13'', Zeigt sich schon bei 60x. Einfach aufzufinden. Bei 114x fach und UHC-Filter zeigt sich ein kleiner runder Nebel , dessen Mitte blickweise immer wieder dunkler erscheint. Bei 420x ist er am Besten ohne Filter zu sehen. Dann wird der ZS sichtbar und es zeigen sich weitere sehr schwache Sterne vor allem in Nähe des Nebelrandes. Mit Filter zeigt sich der Rand strukturiert mit helleren Knoten. UHC-Filter statt OIII-Filter scheint hier die bessere Wahl zu sein. Keine Farbe zu sehen. Wunderschönes Objekt!

Wir bekamen schließlich auch Besuch von einem durchfahrenden Auto. Zunächst hielt der Wagen mit Abstand und Fernlicht an, vermutlich um zu prüfen, ob er an uns vorbei kam. Aufrufe das Licht ein wenig zu dämpfen, führten leider zu nichts. Dann schließlich passierte er uns und blieb anschließend erneut stehen. Wir bekamen davon einen Schreck und die Dunkeladaption war erstmal weg. Etwa eine Stunde später, ging das Spiel wieder los. Der Geländewagen wollte natürlich wieder dahin zurück, wo er hergekommen war.

Mein Mitbeobachter zog sich schließlich ins Auto zurück. Ich hielt durch und stellte die nächsten Objekte ein.

''Minkowski 2-2'', ''Planetary Nebula in Camelopardalis'', ''15.02.2015 22:22:41'', Bei 114x nichts zu erkennen. Bei 430x ohne Filter schon zu erahnen. Mit OIII-Filter dann zu erkennen. Sehr kleiner runder Nebel um schwachen Stern. Keine Struktur.

''NGC 1569'', ''Irregular Galaxy in Camelopardalis'', ''14.02.2015 22:35:17'', Kleine zigarrenförmige Gx mit recht hellem diffusen Zentrum. 114x.

<a href="https://www.flickr.com/photos/106029581@N02/16351950637" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7441/16351950637_729c48e437_z.jpg"></a>

Der Beobachter und sein treuester Begleiter (rechts im Bild :)

<a href="https://www.flickr.com/photos/106029581@N02/16538376255" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7308/16538376255_eceede0406_z.jpg"></a>

Die Wintersternbilder räumen ab Mitternacht das Feld.

''Purgathofer-Weinberger 1'',''Planetary Nebula in Lynx'', ''15.02.2015 00:01:15'', Nur beim Durchschwenken und 56 facher Vergrößerung (AP 5.6mm) mit OIII-Filter ganz schwach wahrnehmbar. Große rundliche, ganz schwache, zarte Aufhellung. Nebelgebiet enthält nur schwache Sterne, welche die Beobachtung kaum stören. Der Nebel kann nach einer Beobachtungspause mittels "Herumrühren" recht einfach wiedergefunden werden, da sich das Objekt beim Durchschwenken immer wieder zeigt! SQM-L 21.43 im Zenit.

''Leo I - UGC 5470'', ''Elliptical Galaxy in Leo'', ''15.02.2015 00:29:56'', Nur interessehalber eingestellt. Im Vergleich zu vor einem Monat in La Palma schwer zu erkennen.

''Intergalactic Wanderer - NGC 2419'', ''Globular Cluster in Lynx'', ''15.02.2015 00:47:01'', Kleiner runder Nebel bei 60x. Als KSH sofort identifizierbar, da typische Helligkeitzusnahme zum Zentrum hin erkennbar. Bei 114x und 168x am besten. Selbst bei 430x keine Strukturen oder Einzelsterne zu erkennen.

''IC 2196 & Friends'', ''Galaxies in Gemini'', ''15.02.2015 01:08:46'', Galaxiengruppe bei Castor. Alle ICs konnten gesehen werden. Insgesamt sechs sehr diffus und recht kleine Galaxien, wenn ich mich nicht verzählt habe.

''NGC 2371'', ''Planetary Nebula in Gemini'', ''15.02.2015 01:25:42'', Es zeigen sich zwei helle Knoten, die über eine schwache Nebelschale verbunden sind. Bei 430x wird dann auch der ZS immer wieder blickweise sichtbar, der auf der Mitte der schwachen Nebelschale zu erkennen ist. Reagiert gut auf OIII.

Das nächste Objekt war eigentlich wieder was für südliche Gefilde. Aber warum nicht mal hier probieren. Lt. Atlas recht hell. Steht noch recht tief im Südosten in der Jungfrau, nur knapp über dem Horizont. Ich habe es versucht und wurde nicht enttäuscht.

''IC 972 bzw. Abell 37'', ''Planetary Nebula in Virgo'',''15.02.2015 02:33:51'', Bei 114x und OIII klein und rund. Ohne Struktur. UHC zeigt den Nebel auch gut. Selbst bei 168x ohne Filter auch zu erkennen. Kein ZS. 

Die Sterne über dem Horizont sind recht gut zu erkennen. Die Transparenz scheint sehr gut zu sein. 

Zwischendurch standen auch Standardkerzen auf dem Programm wie ''M51'', ''M101'', M13 und der ''Eskimonebel''.

''HGC 55'', ''15.02.2015 03:00:03'', Dünner, langer, leicht gebogener Strich. Recht hell bei 168x. Zur Mitte hin heller werdend. Man könnte fast glauben es handelt sich um eine einzige Galaxie. Mir war leider nicht klar, was hier los war, da ich mir lediglich als Objekt UGC 6514 aufgeschrieben hatte!

Ich war total durchgefroren, trotz professioneller Winterkleidung. Die Dokumentation der Beobachtungsergebnisse fanden nur mit Widerwillen ins Smartphone. Die Finger waren danach kaum noch zu gebrauchen. Frage mich, was die Zeichner bei so einem Wetter machen.

''IC 3568'', ''Planetary Nebula in Camelopardalis'', ''15.02.2015 03:15:40'', Kleiner runder Nebel, der aber sehr hell ist. Am besten bei 430x. Dann erscheint ein innerer heller Teil, der von einem schwächeren Halo umgeben ist. Westlich zeigt sich ein schwacher Stern, der außerhalb des Nebels liegt. ZS leider nicht gesehen.

<a href="https://www.flickr.com/photos/106029581@N02/16538402255" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8655/16538402255_24a5ebee09_z.jpg" ></a>

Untergehende Milchstraße im Nordwesten.

''NGC 3877'', ''Spiral Galaxy in Ursa Major'', ''15.02.2015 03:41:33'', Spindelförmige, recht große Gx mit Helligkeitszunahme zum Zentrum hin. Stellarer Kern.

<a href="https://www.flickr.com/photos/106029581@N02/15915649734" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7334/15915649734_994fd2400e_z.jpg"></a>

Es zogen wohl immer wieder ein paar Zirren durch, die visuell aber nicht erkennbar waren. Auf den Fotos sind sie aber recht gut zu sehen.

''Jones-Emberson 1'', ''Planetary Nebula in Lynx'', ''15.02.2015 03:59:04'', Mit OIII bei 114x schwach indirekt sichtbar. Schwieriger als gedacht. Indirekt wird dann aber der Kopfhörer mit etwas Geduld sichtbar. Schöner Anblick.

''Bear Paw Galaxy - NGC 2537'', ''Spiral Galaxy in Lynx'', ''15.02.2015 04:19:18'', Aufzeichnung leider verloren. Aus dem Kopf: Recht helle rundliche Gx. Bei 430x unklare Form und 3-4 unklare Strukturen immer wieder aufblitzend.

<a href="https://www.flickr.com/photos/106029581@N02/16511779836" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7401/16511779836_3df115aec0_z.jpg"></a>

Hatten wir die untergehende Milchstraße im Schwan nach Einruch der Dämmerung noch im NW gesehen, so ist sie bereits wieder aufgegangen.

<a href="https://www.flickr.com/photos/106029581@N02/16351619509" title="Untitled by Olivito Astro, on Flickr"><img src="https://farm8.staticflickr.com/7349/16351619509_a4e082a1fd_z.jpg"></a>

Die Zangen des Skorpions sind ebenfalls über dem Horizont zu erkennen. 

Gegen 4:30 Uhr schließlich bemerkte ich, dass der Mond aufgegangen war. Ich packe alles zusammen und gegen 5:00 Uhr ging's wieder Richtung Heimat. Der Kollege hatte gut geknäckt und war fitt für die Rückfahrt.

Erst als es hell war, trafen wir schließlich total ermattet zuhause ein.

Die beste Beobachtungsnacht in Deutschland, an die ich mich erinnere.

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Mai auf Tivoli gezeichnet habe:

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Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Sommer 2017 gezeichnet habe:

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Hier ist die Gesamtübersicht aller Zeichnungen, die ich im August 2018 auf Tivoli mit einem 25 Zoll Dobson gezeichnet habe:

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Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Mai/Juni 2019 auf Tivoli mit einem 25 Zoll Dobson & 24 Zoll Bino-Dobson gezeichnet habe:

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Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Juni 2021 auf Tivoli mit einem 25 Zoll Dobson gezeichnet habe:

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Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Juni 2022 auf Tivoli mit einem 25 Zoll Dobson gezeichnet habe:

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<$list filter="[tag[Zeichnung]] +[tag[Tivoli 2022 - Zeichnungen]]">

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<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/30392940628/in/dateposted-public/" title="Untitled"><img src="https://live.staticflickr.com/1896/30392940628_cbebc80340_k.jpg"></a>

Die [[Tivoli Astrofarm|http://www.tivoli-astrofarm.de/tivoli_astrofarm.php]] ist einer DER Astrofarmen in Namibia, die sich komplett auf Astronomen spezialisiert hat. 

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/50787746763/" title="Perfect dark night sky"><img src="https://live.staticflickr.com/65535/50787746763_0baddaa50b_h.jpg" alt="Perfect dark night sky"/></a></div>

Die Farm liegt auf 1300m üNN am Rande der Kalahari Wüste.

!!Eine der wenigen professionellen Astrofarmen in Namibia 

Neben Tivoli gibt es noch die Hakos Farm am Fuße des Gamsbergs.  Darüber hinaus tauchen hin und wieder neue Farmen auf, aber diese beiden sind über Jahrzehnte hinweg bekannt und von Hobbyastronomen geschätzt. Auf Tivoli ist ausreichend Ruhe und Entspannung möglich, da die Farm sich auf Hobbyastronomen spezialisiert hat.  Hier kann auch die gesamte Nacht durchbeobachtet werden.  Ich habe auf der Farm bisher nur wirklich ernsthafte und sehr professionelle Beobachter getroffen und war wirklich beeindruckt, wie diese als Spezialisten auf ihrem Fachgebiet agierten.  Das gilt sowohl für visuelle wie auch für fotografische Beobachter. 

!!Beobachtungsbedingungen

Die Tivoli Astrofarm liegt südöstlich der Hauptstadt Windhuk. Windhuk ist nachts als winzige Lichtglocke häufig zu erkennen. Bei sehr guten Bedingungen jedoch kaum zu erahnen. Im namibischen Winter, zur Trockenzeit also, ist der Himmel sehr transparent und es wird auch nachts - vor allem ab Juni - recht kalt.  Nachttemperaturen von bis zu -7° C können dann auftreten. Aber in der Regel liegen sie im positiven Bereich und im Schnitt so um die +6 °C. Häufig ist es zum Beginn der Nacht sogar angenehm warm mit um die +15 °C. Der Himmel ist als perfekt zu bezeichnen. Er ist dunkler als alles was ich bisher gesehen habe. Das Seeing war bei einigen Aufenthalten (2015 & 2017) zum Teil sehr schlecht. Aber seit ein paar Jahren ist es ausgezeichnet. Die Transparenz ist meistens top und wird nur durch den Wüstenstaub etwas beeinträchtigt. Einige Nächte kann man sogar mit hervorragender Transparenz rechnen, insbesondere dann wenn der Wind aus Süden kommt. 

!!Dämmerung schreitet schnell voran

Die Dämmerung ist hier nur sehr kurz. Das liegt daran, dass die Ekliptik in den Wintermonaten sehr steil steht. Nach Sonnenuntergang wird die astronomische Dämmerung in weniger als einer Stunde erreicht. 

<div class="tc-link-info-item-flex" style="float:left;  margin-right :15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/f5s72k" title="Untitled"><img src="https://live.staticflickr.com/65535/52197424762_5bd8bb976c_k.jpg"></a> </div>

!!Sternenhimmel & Objekte

Der Sternenhimmel ist atemberaubend. Die Sommermilchstraße ist so hell, dass sie die Umgebung in ein mattes, diffuses Licht taucht. Das ist nicht direkt zu erkennen, sondern zeigt sich mit viel Beobachtungserfahrung im Laufe einiger Nächte. Die Magellanschen Wolken sind zirkumpolar, d.h. sie sind theoretisch die ganze Nacht beobachtbar. Im Mai und Juni sind sie relativ schlecht sichtbar, da sie zur Dämmerung schon sehr tief stehen. Ab August hingegen sind Sie am Morgenhimmel gut zu beobachten. Der große Wagen kulminiert hier nur wenige Grad über dem Nordhorizont. Die klassischen Nordhimmel Objekte sind hier also nur eingeschränkt sichtbar. Aber auch hier sind die Sternbilder Schwan und Scutum hervorragend beobachtbar, so dass man sich hier auch mit Klassikern, die man schon kennt, einstimmen kann. Dies gilt umso mehr, da hier diese Objekte ohne irgendwelche Lichtverschmutzung beobachtet werden können. 

Klassische Beobachtungsobjekte des Südhimmels sind natürlich die Magellanschen Wolken, die südliche Milchstraße mit bekannten Highlights wie Eta-Carinae, dem Kohlensack, generell natürlich die sehr helle südliche Sommermilchstraße im Schützen, die in nördlichen Breiten nur knapp über dem Horizont steht. 

Hier auch ein paar Videos, die ich auf der Farm aufgenommen habe:

<div style="font-size:0.7em;text-align:center;margin-top:2em;margin-bottom:2em;">
<<list-thumbnails filter:"[tag[VideoMai2015]]" width:"168" height:"95">>
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Der Himmel ist über jeden Zweifel erhaben. Bortle 1, wie man in diesem Video sehen kann. Achtet auf die dichte Bewölkung. Sie zeigt, dass ein bedeckter Neumondhimmel wirklich rabenschwarz ist und der Nachthimmel im Vergleich dazu richtig hell ist! 

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<<list-thumbnails filter:"[tag[Tivoli 2019]]" width:"168" height:"95">>
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Hier auch noch mal ein Panorama, dass ich bei meinem ersten Aufenthalt im Mai 2015 in der ersten Beobachtungsnacht aufgenommen habe.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/17462116904" title="Night sky panorama taken at Tivoli"><img src="https://farm9.staticflickr.com/8859/17462116904_800cd6a62b_h.jpg" alt="Night sky panorama taken at Tivoli"></a>

Die folgende Tabelle zeigt die Auflistung der beobachteten Objekte pro Tag. Objekte, die ich gezeichnet habe, sind unterstrichen und entsprechend verlinkt.

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 10.-11.05.|10. Mai 2015 Tivoli]]|''150 x 20 Großfeldstecher, ca. 5.5 h, SQM-L 21.53, 24 Objekte''<br>LMC, SMC, NGC 2070 - Tarantel Nebel, NGC 1786, IC 2602 - "Die südlichen Plejaden", IC 2391 - Omicron Velorum, Collinder 135, Ahadi - Pi Puppis, NGC 3372, Eta Carinae Nebel, NGC 3293 - Gem Cluster, Beta Cruxis, Alpha Cruxis - Acrux, NGC 4755 - "Das Schmuckkästchen", "Kohlensack" - Caldwell 99, NGC 5822, Zeta Lupi, NGC 6231 & 23, NGC 3114, 47 Tucanae, Omega Centauri, NGC 362|
|[[2. Nacht / 11.-12.05.|11. Mai 2015 Tivoli]]|''25" Dobson, ca. 6.5 h, SQM-L 21.76,  7 Objekte''<br>Abell 13, __[[Abell 26]]__, __[[Abell 27]]__, __[[Abell 40]]__, Omega Centauri, NGC 4755 - "Das Schmuckkästchen", Saturn|
|[[3. Nacht / 12.-13.05.|12. Mai 2015 Tivoli]]|''25" Dobson, ca. 7.5 h, SQM-L 21.76, 13 Objekte''<br>Abell 13, __[[Abell 38]]__, M7, NGC 6453, NGC 4039 A & B, NGC 3766 - Pearl Cluster, IC 2948 - "Running Chicken", GUM 39, NGC 3372 - Eta Carinae Nebel, NGC 5128 - Centaurus A, B 86 - "Tintenklecks", M17 - "Omega Nebel" bzw. "Schwanennebel", M4|
|[[4. Nacht / 13.-14.05.|13. Mai 2015 Tivoli]]|''25" Dobson, ca. 8.5 h, SQM-L 21.76, 11 Objekte''<br>NGC 2070 - "Tarantel Nebel", __[[Abell 13]]__, __[[Abell 23]]__, __[[NGC 4038 & 39 - "Antennen Galaxien"|NGC 4038 & 39 - Antennengalaxien mit 25 Zoll]]__, __[[Abell 38]]__, NGC 104 - 47 Tucanae, NGC 292 - SMC, Cederblad 122, Eta Carinae Nebel, M 57, Zirrus-Nebel|
|[[5. Nacht / 14.-15.05.|14. Mai 2015 Tivoli]]|''25" Dobson, ca. 9.5 h, SQM-L 21.76, 10 Objekte''<br> NGC 2244, __[[Abell 25]]__, M51, NGC 3918, NGC 3132 - "Eight-Burst Nebel", NGC 6744, Abell 37, NGC 7293 - Helixnebel + Hintergrundgalaxie, 47 Tucanae, NGC 346|
|[[6. Nacht / 15.-16.05.|15. Mai 2015 Tivoli]]|''25" Dobson, ca. 9.5 h, SQM-L 21.76, 8 Objekte''<br>Sirius - Alpha CMa, Abell 14, NGC 2042, Whale Galaxy - NGC 4631, __[[NGC 4656 - Hockeyschläger]]__, NGC 5281, Antennen-Galaxien, NGC 5189|
|[[7. Nacht / 16.-17.05.|16. Mai 2015 Tivoli]]|''25" Dobson, ca. 10 h, 9 Objekte''<br>Abell 7, NGC 1763, NGC 2477, NGC 2451, NGC 2546, NGC 4676, NGC 2736, __[[Abell 47]]__, __[[Abell 48]]__|
|[[8. Nacht / 17.-18.05.|17. Mai 2015 Tivoli]]|''25" Dobson, ca. 10 h, SQM-L 21.71, 14 Objekte''<br>NGC 1786, NGC 3201, B 72, M 20, NGC 4945, B 288, NGC 6441, Barnard 142 & 143, NGC 6302 - "Bug Nebel", NGC 6334 - "Katzenpfoten Nebel", Sanduleak 2-263, Abell 4881 = IC 4764, IC 4765, IC 4766..., NGC 300, NGC 55|
|[[9. Nacht / 18.-19.05.|18. Mai 2015 Tivoli]]|''25" Dobson, ca. 10 h, 11 Objekte''<br>__[[Abell 7]]__, NGC 2005, B228, NGC 3115, __[[M87 + Jet]]__, Abell 1656, M104, Abell 45, M27, __[[Abell 68]]__,  __[[Abell 69]]__|
|[[10. Nacht / 19.-20.05.|19. Mai 2015 Tivoli]]|''25" Dobson, ca. 10 h, 7 Objekte''<br>PGC 19441 - Carina Dwarf, SMC, CG4 - "Hand Gottes", M16, __[[Longmore 5]]__, __[[Abell 72]]__, NGC 253|
|[[11. Nacht / 20.-21.05.|20. Mai 2015 Tivoli]]|''25" Dobson, ca. 10 h, SQM-L 21.76, 19 Objekte''<br>Mond, Jupiter, ESO 35-11, NGC 2997, NGC 3347 Gruppe, NGC 3324, NGC 3324, NGC 3199, NGC 3532, NGC 3576 & NGC 3579, NGC 3603, NGC 4603, NGC 4650 Gruppe, __[[M83]]__, Phoenix Dwarf, NGC 362, M57 - Halo|
|[[12. Nacht / 21.-22.05.|21. Mai 2015 Tivoli]]|''25" Dobson, ca. 10 h, 18 Objekte''<br>NGC 1855, NGC 4833, IC 4296, IC 4299, NGC 5220, __[[NGC 4650A]]__, NGC 5460, NGC 5662, NGC 6188, __[[NGC 6164 & 6165]]__, NGC 5823 & 22, NGC 6025, NGC 6221, NGC 6067, NGC 6193, Corona Australis DN Complex, Halo von M57|
|[[13. Nacht / 22.-23.05.|22. Mai 2015 Tivoli]]|''25" Dobson, ca. 10 h, SQM-L 21.89, 16 Objekte''<br>NGC 2818, Gamma Velorum, NGC 2899, Gum 23, NGC 4038 & 39 - Antennen Galaxien, NGC 4361, M16, NGC 5101, PGC 49050, NGC 6072, NGC 6139, NGC 6729, NGC 6723, M54, IC 5152, IC 5148|
|[[14. Nacht / 23.-24.05.|23. Mai 2015 Tivoli]]|''25" Dobson, ca. 10.5 h, SQM-L 21.65, 17 Objekte''<br>Homunculus Nebel, NGC 4372, Henize 2-111, Leo Triplet, NGC 2126, NGC 4833, NGC 2547, NGC 6752, Terzan 2, Trumpler 26, NGC 7064, NGC 7090, Tucana Dwarf, NGC 7098, Haute Provence 1, __[[Abell 70]]__ + Hintergrundgalaxie, NGC 7793|
|!14 Nächte|!Gesamtbeobachtungszeit 118 h, 184 Objekte beobachtet (z.T. mehrfach), davon __[[30 gezeichnet|Tivoli 2015 - Zeichnungen]]__|

Das Video zeigt den Nachthimmel in einer teilweise bewölkten Nacht auf der [[Tivoli Astrofarm]] .

<iframe width="560" height="315" src="https://www.youtube.com/embed/ZvYwJk3llX4" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Das Video zeigt den Nachthimmel an drei unterschiedlichen Nächten.

<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/rUvwZrPn7SU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Das Video zeigt eine komplette Nacht auf Tivoli. Insgesamt vier Planeten sind zu sehen: Venus, Jupiter, Saturn & Mars.

<iframe width="560" height="315" src="https://www.youtube.com/embed/_EEypfYXYzw" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>

Hier geht es auch zum [[Video auf Flickr|https://www.flickr.com/photos/106029581@N02/43377868224/in/album-72157699959137744/]].

Objekt: NGC 2403, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: __148x__, 238x, Filter: -, Bedingungen: SQM-L 21.8, Ort: [[Stumpertenrod]], Zeitpunkt: [[09.03.2022|9. März 2022 - Stumpertenrod]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/55Zu48" title="UGC 10214"><img src="https://live.staticflickr.com/65535/51944217192_8c2bc881e4_c.jpg" alt="UGC 10214"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51945512659/in/photostream/]]

Objekt: UGC 11994, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114 & 168 fach, Filter: -, Bedingungen: Bortle 1-2, Ort: PDA, Zeitpunkt: 20.08.2015

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/20565373943/in/datetaken/" title="UGC 11994"><img src="https://farm6.staticflickr.com/5823/20565373943_80bc758ac5_o.jpg" alt="UGC 11994"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/21160294626/in/datetaken/]]

Objekt: UGC 1281, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter: -, Bedingungen: Bortle 1, Ort: Roque de los Muchachos, Zeitpunkt: [[28.01.2017|28. Januar 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32421162184/" title="UGC 1281"><img src="https://c1.staticflickr.com/1/608/32421162184_ec247cfceb_o.jpg" alt="UGC 1281"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33264553525/in/photostream/]]

Objekt: UGC 3214, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Wasserkuppe, Zeitpunkt: [[04.01.2019|04. Januar 2019 - Muela de San Juan]], Seeing 1-2

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/47178309062/in/dateposted/" title="UGC 3214"><img src="https://farm8.staticflickr.com/7860/47178309062_416fa75680_c.jpg" alt="UGC 3214"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/47178309042/in/photostream/]]

Objekt: UGC 3573, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 114x, Filter:-, Bedingungen: 21.4, Ort: RDLM, Zeitpunkt: 03.01.2016

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/24603342970/in/datetaken/" title="ugc3573"><img src="https://farm2.staticflickr.com/1688/24603342970_0e60b72312_o.jpg" alt="ugc3573"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/24603342890/in/datetaken/]]

Objekt: UGC 3697 - Integral Sign Galaxy, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114, Filter: -, Bedingungen: SQM-L 21.65, Ort: RDLM, Zeitpunkt: 16.03.2015 0:25

<a href="https://www.flickr.com/photos/106029581@N02/16760886250" title="UGC3714 by Olivito Astro, on Flickr"><img src="https://farm9.staticflickr.com/8696/16760886250_a68499ed5e_z.jpg"  alt="UGC3714"></a>

Objekt: UGC 3697, Teleskop: 14" f/4.6 Newton, Vergrößerung: 168x, Filter: -, Bedingungen: SQM-L 21.86, Ort: Nablanca, Zeitpunkt: [[25.12.2016|25. Dezember 2016 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/31509416494/in/datetaken/" title="Untitled"><img src="https://c1.staticflickr.com/1/428/31509416494_f16fec3df9_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/31974852550/in/datetaken/]]

Objekt: UGC 3697, Teleskop: 20" f/3.8 Newton, Vergrößerung: 351x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[07.12.2023|7. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Ar88vXS4Jz" title="UGC 3697 - Integral Sign"><img src="https://live.staticflickr.com/65535/53446838555_5c5ae1bf31_h.jpg" alt="UGC 3697 - Integral Sign"/></a>

Objekt: UGC 5373 - Sextans B, Teleskop: 14" f/4.6 Newton, Vergrößerung: 290x, Filter: -, Bedingungen: SQM-L  21.96, Ort: Roque de los Muchachos, Zeitpunkt: [[28.03.2017|28. März 2017 - La Palma]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/34330633852/in/datetaken-public/" title="Sextans B"><img src="https://c1.staticflickr.com/3/2869/34330633852_e3763470cd_o.jpg" alt="Sextans B"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/34490829075/in/datetaken-public/]]

Objekt: UGC 711, Teleskop: 20" f/3.8 Newton, Vergrößerung: 138x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[08.12.2023|8. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/2m02Dde040" title="UGC 711"><img src="https://live.staticflickr.com/65535/53437625419_97cd63c69a_h.jpg" alt="UGC 711"/></a>

Objekt: UGC 9242 & PGC 2152475, Teleskop: 20" f/3.8 Newton, Vergrößerung: 251x, Filter:-, Ort:  [[Wassertank|Llanos de las Animas & Wassertank]], Zeitpunkt: [[12.12.2023|12. Dezember 2023 - Wassertank]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/V64354CNfn" title="UGC 9242"><img src="https://live.staticflickr.com/65535/53504865147_7017210892_h.jpg" alt="UGC 9242"/></a>

/Spanien - Im Süden nichts Neues 1

Objekt: V 375 Lac, Teleskop: 21" f/3.8, Vergrößerung: 562x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[17.10.2023|17. Oktober 2023 - Lange Rhön]], Seeing 2-3, SQM-L

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/K66r70uA88" title="V375 Lac"><img src="https://live.staticflickr.com/65535/53280450794_9cd0d68e36_h.jpg" alt="V375 Lac"/></a>

Objekt: V777 Mon - Red Rectangle, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 900x, Filter: -, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[05.01.2019|05. Januar 2019 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/k26MUC" title="V777 Mon"><img src="https://farm8.staticflickr.com/7926/40063730863_5d8448873a_c.jpg" alt="V777 Mon"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/40063730913/in/photostream/]]

Objekt: VdB 1, Teleskop: 21" f/3.8, Vergrößerung: 231x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[9. Januar 2024|9. Januar 2024 - Lange Rhön]], Seeing 4-5

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/zHy465Lx33" title="van den Bergh 1"><img src="https://live.staticflickr.com/65535/53472235885_93ebca39b1_h.jpg" alt="van den Bergh 1"/></a>

Objekt: VdB 31, Teleskop: 21" f/3.8, Vergrößerung: 231x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[10.01.2024|10. Januar 2024 - Lange Rhön]], Seeing 4-5, SQM-L 21.1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/CJ8789q3S7" title="VdB 31"><img src="https://live.staticflickr.com/65535/53482221949_1bfd82b5af_h.jpg" alt="VdB 31"/></a>

Objekt: VdB 8, Teleskop: 21" f/3.8, Vergrößerung: 148x & 231x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[10.01.2024|10. Januar 2024 - Lange Rhön]], Seeing 4-5, SQM-L 21.1

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/G6bTcoHL51" title="VdB 8"><img src="https://live.staticflickr.com/65535/53478213131_83b956ec40_h.jpg" alt="VdB 8"/></a>

<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46429692801/in/photostream/" ><img src="https://farm5.staticflickr.com/4871/46429692801_30ac917a93_b.jpg"></a>Screenshot des Artikels in der Lokalpresse.</div>

Das Besucherzentrum ist noch nicht eröffnet und trotzdem gibt es schon Ärger. Ich habe ja meine Position mit meinen Einschätzungen in einem Artikel „[[Aufruhr in Astronomieparadies La Palma]]” abgegeben. Leider haben sie sich schon jetzt bestätigt. Aber der Reihe nach. 

Es wurde im Besucherzentrum eingebrochen, wie in der [[Lokalpresse berichtet|https://diariodeavisos.elespanol.com/2018/12/denuncian-a-un-intruso-en-el-centro-de-visitantes-del-roque-de-los-muchachos/amp/?__twitter_impression=true]].

!!Brannte zwei Nächte das Licht?

Dabei wurde die Beleuchtung „in Gang gesetzt“. Bemerkt wurde dies offenbar von den Astronomen vor Ort, die sich von der plötzlich angegangenen Außenbeleuchtung gestört fühlten und die eigentlich nur im Notfall an sein soll. Man weiß gar nicht genau, wann der Einbruch geschah. Offenbar zwischen dem 20. und 22. Dezember 2018. Man mag sich gar nicht vorstellen, dass das Licht da zwei Nächte lang brannte. Unfassbar! Hier zeigt sich, dass sich das IAC mit der Genehmigung der Außenbeleuchtung ins eigene Fleisch geschnitten hat. Von wegen, die Lampen seien nur im Notfall an. Sie können offenbar jederzeit ohne Probleme einfach eingeschaltet werden.
 
Ich kann nur empfehlen, dass zugehörige [[Video anzuschauen|https://www.dailymotion.com/video/x6zdhd5]], dass zeigt, was da oben alles an Lichtverschmutzungsbeleuchtung verbaut worden ist.

!!Wer war das und was wollte er damit bezwecken?

Vieles bleibt unklar. Die Offiziellen sprechen von Vandalismus, was wohl heisst, dass nichts wirklich gestohlen worden ist. Die Aktion bleibt mysteriös. Ist das Ziel die Beobachter da oben zu ärgern? Sind das Aktivisten gewesen, die gegen das Besucherzentrum sind? Gar auf die Lichtverschmutzung hinweisen wollten? Die Polizei hat sich das Ganze am Nachmittag des 22. Dezember angeschaut. Was wohl auch zeigt, dass der Roque wohl keine Priorität hat. Man kann nur hoffen, dass der Vorfall nicht zu mehr Misstrauen bei den Profis führt, die zu Unrecht vermutlich sauer sind, da sie das Ganze großzügig genehmigt hatten. Selbst Schuld.

Hier sind ein paar kurze Videos zu sehen.

!!Full Dome Timelapse 

Die Timelapses zeigen den kompletten Nachthimmel meist über eine ganze Nacht. Sie sollen neben den Fotos zum Nachthimmel einen visuellen Eindruck der Himmelsqualität vermitteln. 

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<<list-thumbnails filter:"[tag[Timelapse]] +[!sort[created]]" width:"168" height:"95">>
</div>

!!Videos

<div style="font-size:0.7em;text-align:center;margin-top:2em;margin-bottom:2em;">
<<list-thumbnails filter:"[tag[VideoThumbnail]] +[!sort[created]]" width:"168" height:"95">>
</div>

<div class="tc-link-info-item-medium" style="float:right;  margin-left:15px; margin-bottom:15px;"> <a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/31223998811/in/datetaken/" title="Ohne Titel"><img src="https://live.staticflickr.com/5587/31223998811_9270e835d3_h.jpg"></a>Ich war nicht allein :)</div>

Ende November werden überraschenderweise zwei klare Nächte mit klirrenden Nachttemperaturen für die Rhön vorhergesagt. Da die Höhe das entscheidende Kriterium im Winter in Bezug auf Transparenz und Flucht vor dem Nebel sind, soll es diesmal die Wasserkuppe mit ihren 950 üNN sein.

Meteoblue.com sagt schlechtes Seeing vorher. 7timer.com hingegen gutes. Mal sehen. Der Wind soll auch frisch sein. Aber Gebäude gibt es da oben ja genügend, um sich vor dem Wind zu verstecken. Transparenz soll lt. 7timer.com auch sehr gut sein. Im Winter keine Selbstverständlichkeit. Und wenn der Nebel die Täler und Dörfer bedecken sollte, ist es da oben schön dunkel. So die Theorie. Mal sehen, ob das so passt.

!!!Tausche zwei Nächte auf dem Roque gegen zwei auf der Wasserkuppe

Ich habe letzte Woche eine Beobachtungsexkursion nach La Palma kurzfristig wg. schlechten Wetters auf Januar verschoben. Im Nachhinein waren da auch nur zwei Nächte möglich gewesen.

Ich bin im übrigen mit dem "Deep Sky Objekt des Monats" im [[astrotreff.de|http://www.astrotreff.de/topic.asp?TOPIC_ID=203989]] für Dezember dran. Ich werde Barnard's Loop präsentieren und habe diesen schwachen Nebel zuvor nur auf La Palma mit bloßem Auge beobachten können. Eine Sichtung aus Deutschland ist mir bisher nicht in den Sinn gekommen. Die Bedingungen sollen ja für diese Tage sehr gut sein, also werde ich das probieren.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 28.-29.11.|28. November 2016 - Wasserkuppe]]|''14"  Dobson, 10 h, SQM-L 21.5,  10 Objekte''<br>__[[M71]]__, __[[Sh2-84]]__, __[[Stephan's Quintett]]__, __[[NGC 7076 - Abell 75|Abell 75]]__, Barnard's Loop - Sh2-276, __[[Abell 12]]__, __[[Jones-Embersen 1]]__, __[[NGC 2146]]__, C/2016 U1 (NEOWISE), Palomar 2 (18 Zoll)|
|[[2. Nacht / 29.-30.11.|29. November 2016 - Wasserkuppe]]|''14" Dobson, 7 h, SQM-L 21.5, 2 Objekte''<br>__[[Stephan's Quintett]]__, __[[Abell 347]]__|

Zwei Super Nächte. Wenn nur die Kälte nicht wäre. Was mir sehr gut gefallen hat, ist die Tatsache, dass Lichtverschmutzung in der Region und auf der Wasserkuppe selbst mittlerweile sehr ernst genommen wird. Die Wasserkuppe wird nicht mehr von hellen "Lichtkanonen beschossen". Nach Mitternacht wird es insgesamt noch mal deutlich dunkler.

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/31046058140/in/datetaken/" title="Ohne Titel"><img src="https://live.staticflickr.com/5443/31046058140_b4ee0a2d20_k.jpg"></a>

!!Und weiter geht's...

Mittwoch kamen die Wolken. Freitag dann zog ein Niederschlagsgebiet von Norden her durch und kurzfristig waren sich alle Wetterdienste einig: Es wird am Abend aufklaren. Während es in Frankfurt noch regnete, war es auf der Wasserkuppe schon klar. Also wieder da hin. Nach dem nervigen Feierabendverkehr, traf ich doch recht pünktlich ein. 

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[3. Nacht / 02.-03.12.|02. Dezember 2016 - Wasserkuppe]]|''14"  Dobson, 12 h, SQM-L 21.36,  7 Objekte''<br>NGC 660, __[[IC 342]]__, Barnard's Lopp - Sh2-276, __[[Palomar 2]]__, __[[Palomar 1]]__, HCG 55, __[[Palomar 3]]__|
|[[4. Nacht / 03.-04.12.|03. Dezember 2016 - Wasserkuppe]]|''14" Dobson, 8 h, SQM-L 21.4, 2 Objekte''<br>__[[NGC 7331]]__, __[[NGC 40]]__, __[[NGC 2685 - Helix-Galaxie]]__|

Es wäre sogar noch eine dritte Nacht drin gewesen. Aber das reicht erst einmal. Auf der Rückfahrt sehe ich ein Nebelmeer am Horizont und kurz vor Fulda tauche ich in eine verzuckerte Landschaft ein.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/30608487033/in/datetaken/" title="Ohne Titel"><img src="https://farm6.staticflickr.com/5497/30608487033_8eb853f467_h.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/38727618184/" title="Simeiz 147 - Markierte Einzelsterne mit interessanten und möglichen Strukturen"><img src="https://farm5.staticflickr.com/4594/38727618184_89d75d26e6_c.jpg" style="float:left;  margin-right:15px; margin-bottom:15px;" alt="Simeis 147 - Markierte Einzelsterne mit interessanten und möglichen Strukturen"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Beobachtbare Regionen A-D von Simeis 147. Image Credit: Davide de Martin, skyfactory.org</div>

Dieses Objekt hat tatsächlich etwas mythisches. Bereits vor ca. 15 Jahren habe ich davon gelesen und einen Disput in einer Astronomiezeitschrift über mehrere Ausgaben verfolgt. Gestritten wurde über die Tatsache, ob das Objekt überhaupt visuell in Amateurteleskopen visuell zugänglich ist. Erinnere mich noch, dass es offenbar eine positive Beobachtung mit einem drei Zoll Refraktor gegeben haben soll, was in Anbetracht der geringen Helligkeit natürlich schwierig einzuordnen ist 🤩 Fotografisch gab es aber schon wenige lang belichtete Amateuraufnahmen auf hypersensibelisierten Kodak Tecnical Pan oder aber die alten POSS-Platten, im o.a. Foto von Skyfactory.org verwendet worden sind (Image Credit: Davide de Martin, skyfactory.org).

!Was ist Simeis 147 aka Sh2-240?

Bei dem Objekt handelt es sich um einen so genannten Supernova Überrest (SNR) im Sternbild Stier. Ich möchte euch hier an der Stelle nicht mit Details aus Wikipedia langweilen. Wer mag, kann bei Wikipedia [[hier|https://de.m.wikipedia.org/wiki/Simeis_147]] die Details nachlesen. 

Dann stolperte ich zwischen den Jahren 2017 über einem Artikel über visuelle Beobachtung von Simeis 147 ''[[mit 16'' von Susan Young|http://sandandstars.co.za/2017/12/21/simeis-147-a-ghostly-snr/]]'', sowie einen älteren, von ''[[Jim Shield mit 20''|http://www.astronomy-mall.com/Adventures.In.Deep.Space/simeis.htm]]''. 

Nicht das gesamte Objekt ist durchgängig beobachtbar, sondern nur die hellsten Teile. ''[[Jim Shield|http://www.astronomy-mall.com/Adventures.In.Deep.Space/simeis.htm]]'' hat diese ursprünglich identifiziert und mit 20 Zoll bei maximaler AP beobachtet. Insbesondere die Tatsache, dass Susan nur einen 16 Zoll Dobson eingesetzt hat, hat mich zu einer Nachbeobachtung inspiriert. 

Da ich ohnehin im Januar 2018 nach La Palma aufbrechen werde, habe ich mir Simeis 147 auf die Beobachtungsliste gesetzt. Die Himmelsbedingungen für dieses extreme Objekt sind dort kaum zu toppen. Der Himmel sollte dem von Susan (Kalahari) entsprechen. Unter Berücksichtigung der Kulminationshöhe sogar besser, denn auf La Palma kulminiert Simeis 147 im Zenit oder bei  90°. in der Kalahari bei ca.  38° (Beobachtungsort Windhuk). Für Uptington in Südafrika sind es  10° weniger oder 28°. Wahrscheinlich liegt Susan's  Beobachtungsplatz irgendwo dazwischen. 

Aufgrund der riesigen Struktur, die mehr als drei Grad einnimmt, ist dieses Objekt vermutlich auch unter schlechten Seeing Bedingungen bei Minimalvergrößerung gut beobachtbar. Einzige Voraussetzung ist ein dunkler Himmel und ein OIII–Filter. Ich habe diesmal versucht meinen inneren Schweinehund zu überwinden und eine intensive Recherche im Vorfeld gestartet. Vorbereitung ist schließlich alles. Das Objekt einfach mal so abfahren, macht keinen Sinn, denn aufgrund der geringen Helligkeit des Objektes sind Enttäuschungen vorprogrammiert. Besser schien mir, die entsprechenden Sterne beziehungsweise Sternfelder in eine Liste einzutragen und im Vorfeld abzuschätzen, welche davon überhaupt für eine Beobachtung infrage kommen. Man muss sich immer wieder klarmachen, dass hier ein einfach-mal-so-drauflos-spechteln nicht funktionieren kann (ist eine meiner Schwächen 🙄). 

Eine weitere Recherche auf deutschsprachigen Seiten förderte die bekannten Beobachterseiten zu Tage: [[Uwe Glahn - www.DeepSky-Visuell.de|http://www.deepsky-visuell.de/Projekte/DS_Herausforderungen.htm]] mit teilweisen positiven, aber insgesamt aus seiner Sicht enttäuschenden Sichtung (27 Zoll), [[Reiner Vogel - www.reinervogel.net|http://www.reinervogel.net]] hingegen quittiert in seinem sehens-und lesenswerten [[Sharpless-Kompendium|http://www.reinervogel.net/pdf/Sharpless.pdf]] leider ''__keine__'' erfolgreiche Beobachtung (22 Zoll). 

''[[Uwe Glahn - www.DeepSky-Visuell.de|http://www.deepsky-visuell.de/Projekte/DS_Herausforderungen.htm]]:'' “//Ein oft hitzig diskutiertes Objekt der Supernovaüberrest Simeis (Shain) 147 oder auch Sharpless 2-240. Das am Himmel etwa 3° im Durchmesser aufweisenden Objekt besteht aus vielen sehr feinen und hauptsächlich im Ha leuchtenden Filamenten. Höhere Vergrößerung für die Auflösung der Filamente und ein Hß Filter sind zur Beobachtung von Nöten.//“ 

Und weiter: “''27", 95x, 172x, Hß, [OIII], fst 7m+''
Bei perfekter Durchsicht im Hochgebirge fahre ich mit 95x (AP 7,3mm) die hellsten 5 Gebiete vom blauen POSS und Ha Aufnahmen an und wechsle jeweils zwischen [OIII] und Hß durch; außer im Gebiet nahe dem 9,3mag hellen GSC 1874453 (~50' NO des Zentrums) kann ich rein gar nichts visuell ausmachen; auch ein Wechsel auf 172x bringt keinen Erfolg, die Bögen bleiben absolut unsichtbar; im genannten Bereich fällt mir unter Verwendung von [OIII] und 172x direkt NW vom 14mag GSC 1873685 eine Helligkeitskante auf, die sich in NW Richtung auf eine Länge von etwa 3' zieht; eine Breite kann nicht genau bestimmt werden; mit Hß Filter nicht sichtbar, mit 95x + [OIII] schwächer, aber ebenfalls sichtbar, Sternketten können ausgeschlossen werden; das beobachtete Fragment ist auf der [OIII] Aufnahme des Emission Line ebenfalls das mit Abstand hellste des gesamten Komplexes, jedoch im Hß nicht prominent; einziges nicht angefahrenes und evtl. lohnendes Fragment befindet sich SW des 7,6mag hellen HD 36724; insgesamt enttäuschend und visuell nicht konkurrenzfähig mit den knalligen Ha-Aufnahmen“

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/40131318225/in/datetaken-public/" title="Untitled"><img src="https://farm1.staticflickr.com/808/40131318225_d6ab3c502a_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Die hellsten Filamente der Region A-D mit den jeweiligen Sternen und lohnenden und von mir tatsächlich beobachteten Details (D1-D7). Rot - nicht zu sehen, Gelb - nur vermutet, Grün - positiv(e) Beobachtung. DSS-POSS Red.</div>

!Was erwartet einen? Wie kann man den Schwierigkeitsgrad eingrenzen?

Was mir allerdings Angst macht, ist die Tatsache beziehungsweise der Vergleich zu NGC 6979, auch bekannt unter Pickering's Dreieck. Habe mir nämlich die Mühe gemacht, analog zu den anderen Aufnahmen diese im Kontrast zu verstärken, um zu sehen, was mich erwartet. NGC 6979 ist mit und ohne Nebelfiter sehr gut in meinem 14 Zöller beobachtbar. Zum Vergleich auch Sh2-176, den ich auch [[erfolgreich beobachten|27. Januar 2017 - La Palma]] konnte, auch wenn dies sehr schwer war: „Bei 65 fach und OIII wird ein schwacher Bogen zwischen einem hellen Stern und einem gleich hellen Sternpaar sichtbar. An dieser Stelle befinden sich nur einige wenige schwache Sterne, so dass der Nebelbogen sicher beobachtet werden kann und nicht durch helle Sterne vorgetäuscht wird. Vom restlichen Nebelgebiet kann leider nicht erkannt werden, insbesondere deshalb nicht, da im reichen Sternfeld an der entsprechenden Position viele helle Sterne die Beobachtung stören und einen nebligen Hintergrund vortäuschen.”

Insgesamt kann ich mich also auf viele kleine Sh2-176 einstellen 😕. Das bedeutet aber andersherum, dass grundsätzlich etwas zu sehen sein sollte, was mich wiederum sehr positiv stimmt. 

Als Filter kommen der OIII und der Hß in Betracht. Dies hat die Recherche über die Beobachtungen im Vorfeld ergeben.

!Was ist tatsächlich beobachtbar?

Jim Shield hat das Objekt in vier Regionen unterteilt, in denen Nebelteile liegen, die grundsätzlich beobachtbar sein sollen. Diese hat er von A-D durchnummeriert. Ich habe auf Grundlage von Susan's Artikel die interessantesten Gebiete mittels ~SkySafari aus dem POSS heruntergeladen und Screeshots gemacht, die ich nochmals nachbearbeitet habe, damit die Nebelteile besser zur Geltung kommen.

!!!''Region A ~05 40 +26 58'':

„The first area observed was around star SAO 77322, where a large, well-defined streak extended 15' to the east. Other knots and streaks were observed near and south of SAO 77350. - Rich Jakiel
Two arcs, one at SAO 77322, the other about 15' south were easily [!] visible. Much like the Veil, the arcs could be followed for approximately two degrees around the periphery of the object. - Gil Shillcutt“.

Susan: „Words cannot convey the sense of wonder I felt when I saw the first dimly glowing filament… a ghost of a streak around star SAO 77322 that extended in a slight arc about 8′ east of the star. It looked like an Impressionist’s softest brush stroke of faintest pearl-coloured light, a wraith-like tendril so pale that it was almost translucent against the rich starry background. And in the way of so many incredibly faint nebulae, it had no edges, it simply dissolved into the sky. So lovely to see! I could see another wispy arc of nebulosity south of star SAO 77350. It was even fainter than the first streak, but it also looked like an almost-transparent strand of the faintest pearl-coloured nebulosity melting into the starry background.

I must say that the rich background of Milky Way stars is particularly lovely, but also particularly bothersome when you’re trying to see the merest wisps of faintest nebulous light, as there are lots (lots!) of faint star chains that are very deceptive, disguising themselves as nebulous wisps. So often, just as I thought I was seeing something… I would realise it was a dim chain of stars."

<div class="tc-link-info-item-flex-50" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24565410287/" title="NGC 6979 - Sh2-176"><img src="https://farm5.staticflickr.com/4590/24565410287_11571c7dab_c.jpg" alt="NGC 6979 - Sh2-176"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>NGC 6979 - der mittlere Teil des Cirres Nebels & Sh2-176 kontrastverstärkt als Vergleich zu den Aufnahmen von Simeis 147. DSS-POSS</div>

!!!''Region B ~05 45 +27 03''
„The most amazing and intricate region of the entire SNR, this is an interwoven tapestry of filaments and nebulous arcs against a beautiful starry background. In one sector, several filaments were visible criss-crossing each other at nearly right angles! - Rich Jakiel.“

!!!''Region C ~05 39 +29 07''
„Thin trail of wisps and tendrils running ENE - WSW between SAO 77354 (mag 6.0) and SAO 77381 (mag 7.0).
Faint nebulous arcs and patches were visible in regions 'D' and 'C'. Around C, some secondary details were visible, though not nearly as richly complex as in region B. - Rich Jakiel.“

!!!''Region D ~05 43 +28 17''

„Nebulous patch about 30' SE of SAO 77397 (mag 8.1) in a loose clump of stars.
A "clump" of ~8-12 sparse stars of ~10th magnitude and fainter ~10' in diameter was easily visible, resembling an OC of sorts. Faint hints of nebulosity were apparent surrounding the entire "clump". When the scope was moved ~1 fov in the N/S direction, the nebulosity became a diffuse glow with definite edges some 10'x15' in size and oriented in an E/W direction. Averted vision was not continuously required for this. - Jay ~McNeil“

Alle Zitate sind unter [2] zu finden.

!''Basecamp. Aufstieg über die Normalroute''

Wo also anfangen. Vielleicht über die Normalroute. Das wären die o.a. Sternfelder HD 246646 (Region D - die hellste der vier Regionen) & 77350 (Region A). Als Backup, falls das schiefgeht, die kleine helle Nadel südlich von HD 246861 im Feld D. Nur wenn das nicht ginge, ist vermutlich nix machbar/beobachtbar.

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41002519351/" title="Simeis 147"><img src="https://farm1.staticflickr.com/810/41002519351_b274e5b32f_h.jpg" alt="Simeis 147"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Vergleich POSS-Red Simeis 147 um HD 246646 mit visueller Beobachtung
</div>

!!''Meine Beobachtung der Region D mit 14 Zoll''

''Meine erste Beobachtung machte ich am [[12. Januar 2018 auf La Palma|12. Januar 2018 - La Palma]]:'' „Bei 40 fach und übergroßer AP ist zusammen mit einem OIII-Filter ein Glimmen um ein Sternentrapez wahrnehmbar. Vergleiche mit anderen Sternen zeigt, dass es sich um eine sichere Beobachtung handelt. Trotzdem grenzwertig, da ich mir aufgrund von Müdigkeit bei den folgenden Nachbeobachtungen immer schwerer tue. Es wird sogar ein hellerer Bogen (''D6'') sichtbar, der durch ein Sternfeld geht und ohne Karte schon vermutet werden kann. Wechsele auch zu 65 facher Vergrößerung, wobei die Beobachtung dann schwieriger wird. Insgesamt zeigen sich drei hellere Bereiche, wobei der Bogen am eindeutigsten ist, insbesondere, da kaum Sterne stören. Trotzdem grenzwertige Beobachtung. Überraschend schwierig.“

Am [[14. Januar 2018 auf La Palma|14. Januar 2018 - La Palma]]: „Simeis 147 um HD 246646. Nachbeobachtung. Alle bisherigen Details können heute bestätigt werden. Beobachtung bei 40 und 65 fach. Bei 65 fach zeigen sich zudem einige Details, wie ein hellerer Knoten (''D7'') und eine Nebelsichel zwischen zwei Sternen (''D8''). (__Bemerkung:__ Letztere konnte aber hin und wieder nur erkannt bzw. besser erahnt werden und ist am Ende als negative Beobachtung von mir gewertet worden. Erstaunlich finde ich  allerdings die Tatsache, dass dieses auf den Fotos so helle Nebeldetail, quasi eine „Nadel”, solche Schwierigkeiten bereitet.) 40 fach zeigt hingegen besser, dass das Sternentrapez eindeutig von einem Nebel umgeben ist, der auch der einfachste zu beobachtende Teil ist. Sehr schönes Objekt. Hat aber mit den HII-Aufnahmen nichts zu tun.“

!!''Meine Beobachtung der Region A mit 14 Zoll''

''//Simeis 147 um Stern HD 246128//'': HD 246128 ist ein unscheinbarer Doppelstern. Er befindet sich mittig in einer flachen, geschwungenen, V-förmigen Sternenkette. Mit OIII und 65 fach scheint diese von einem Nebel umgeben zu sein (''D2''). Das was bei Filterbeobachtungen eben nahe liegt. Tatsächlich liegt der Nebelteil quasi um die Sternenkette herum. Ein Teil bricht aber aus, der manchmal schwach aufblitzt (''D3''). Alles in allem nochmal deutlich schwerer als der Teil um HD 246646. Absolut grenzwertig. Mache erstmal eine Pause, da das Objekt quasi unbeobachtbar ist, weil aktuell im Zenit stehend. SQM-L zeigt Werte um 21.89 an. Perfekte Bedingungen! 

Und nach einer Beobachtungspause: ''//Simeis 147 um HD 246128//'': Also hin und wieder ist ein schwacher Schein in einem Trapez bestehend aus vier unterschiedlichen Sternen zu erkennen. Unsicher. Das Ganze bei 65 fach und OIII beobachtet. 40 fach hilft hier nicht weiter, da man die Sterne ausreichend separieren muss, um nicht einem Überstrahlen vom Filter her aufzusitzen. Beim „Glow“ um die ganze Sternenkette (''D2'') bin ich unsicher. ''Eher nicht'', denn dieser Abschnitt ist lt. POSS dunkler als der prominentere im Trapez. Insgesamt passt das Ganze aber: Dieser Abschnitt von Simeis 147 ist schwächer als der um den Stern HD 246646. Das heisst aber auch, dass der Rest des SNR, da noch schwächer, nicht gehen wird.“ 

!!''Meine Beobachtung der Region B mit 14 Zoll''

Weiter versuchte ich die Region A am [[18. Januar 2018 auf La Palma|18. Januar 2018 - La Palma]] zu erkennen:

''//Simeis 147 um Stern SAO 77350//'': Südlich dieses Sterns kreuzen sich zwei Filamente und bilden eine „Schere” (''D1''). Trotzdem kann ich weder bei 40, 65 und 114 fach sowie OIII (40 + 65 +114 fach), sowie Hß bei 40 fach nichts erkennen. Halte eine kompakte schwache Sterngruppe zunächst vermeintlich für den „Schnittpunkt“. Dieser liegt aber eine Winzigkeit weiter südlich. Die Sterngruppe ist aber bei 65 fach mit OIII noch zu erkennen und täuscht so den Nebel vor. Höhere Vergrößerung mit 114 zeigt dann an der richtigen Stelle nichts. Vielleicht auch ein Auflösungsproblem, d.h. Man sollte hier versuchen mit größeren Geräten und großer AP arbeiten um ggf. den Schnittpunkt erkennen zu können.

Region B: Auch hier nix zu sehen. Probiere bei 40 fach und OIII-Filter die hellen Ecken des Vierecks (''D4'') zu erkennen, aber leider nichts. Gar nichts.

Die schwächeren Teile weiter zu beobachten macht keinen Sinn. Stelle nochmal die Region HD 246646, die hellste Region von Simeis 147. Hier kann ich tatsächlich die bereits erkannten Strukturen ausmachen. Das sind zumindest die einzigen Strukturen, die ich sicher erkennen kann.”

!''__Fazit:__''

Simeis 147 ist einfach zu schwach um mit 14 Zoll großflächig beobachtet zu werden. Der hellste Teil (der Region D um HD 246646) ist zu erkennen. Der Rest mit 14 Zoll offenbar nicht. Hier sind größere Teleskope gefragt, wobei potenziell die Gesichtsfelder weiter schrumpfen, was vermutlich auch nicht so schön ist. Die Beobachtung von Susan und insbesondere die Zeichnungen in [4] und [5] konnte ich jedenfalls nicht nachvollziehen. D.h. nicht, dass es nicht grundsätzlich möglich ist. Wobei der Öffnungsunterschied zwischen 14 und 16 Zoll (Susan) keinen gravierenden Unterschied machen sollte ebensowenig wie der zu 17.5 Zoll (Jay) [5]. 

!!Update 31.03.2018

Uwe hat mir zwei Links zu Fotos im Netz geschickt. Eine reine [[OIII-Aufnahme|https://i.imgur.com/pwUIzuM.jpg]] und ein [[Ha-OIII-Vergeich|http://www.astrosurf.com/zoll/images/SH2_240_HvsO.jpg]]. Darüber hinaus die Erkenntnis vielleicht mit einem UHC-Filter die hellsten Gebiete anzusteuern, was ich nicht getan habe. Mir würde ''D8'' als Versuch direkt einfallen.

!!Update 15.09.2018 - Erfolgreiche Beobachtung mit 21 Zoll von der Wasserkuppe aus

Versuch der Beobachtung mit 21 Zoll war erfolgreich. Der Nebel wird unter Verwendung eines OIII-Filters und Nagler 26mm recht einfach sichtbar. Sogar ein Nebelknoten kann relativ leicht gesehen werden. Weitere Details siehe Beobachtungsbericht vom [[11. September 2018 - Wasserkuppe]]. Bedingungen SQM-L 21.55, sehr transparent, Simeiz 147 hatte zum Beobachtungszeitpunkt eine Höhe 54 ° über dem Horizont. Zeitpunkt war ca. 04:30 MESZ.

Mathias hat seine Beobachtung [[hier veröffentlicht|https://www.freunde-der-nacht.net/sternassoziationen/aur-ob1/]].

!!Update 11.11.2018 - Erfolgreiche Beobachtung von Uwe

Uwe hat Simeis 147 ebenfalls [[erfolgreich beobachtet|http://www.deepsky-visuell.de/Projekte/DS_Herausforderungen.htm]] und [[gezeichnet|http://www.deepsky-visuell.de/Zeichnungen/Sh2-240]].

!!Update 05.03.2019

Eine Nachschau am [[30. Dezember 2018|30. Dezember 2018 - Muela de San Juan]] mit meinem 14 Zoll Dobson hat die Beobachtungen erneut bestätigt: „Mit OIII und bei 65 fach wird ein Knoten neben HD 246515 sichtbar. An ihn schließt sich eine diffuse und sehr schwache Kante an, die nach Südosten verläuft, also auf HD 246646 zu und auf halber Strecke an einem schwachen Stern, der sich zwischen den beiden befindet, endet. Um die Sternengruppe von HD 246646 scheint es auch neblig zu sein. Nix eindeutiges. Wahrscheinlich ist da auch nichts definitives zu sehen entgegen meiner ursprünglichen Beschreibung der Beobachtung von La Palma (und der dazugehörigen Zeichnung). Bedingungen sehr gut: SQM-L 21.82 im Zenit (Kasten des großen Wagens).“

!!''Quellen & Links (Stand 03/2018):''

''[1] Susan Young's Beobachtungen mit 16":'' http://sandandstars.co.za/2017/12/21/simeis-147-a-ghostly-snr/

''[2] Jim Shield und Rich Jakiel u.a.:'' http://www.astronomy-mall.com/Adventures.In.Deep.Space/simeis.htm

''[3] Uwe Glahn mit 27":'' http://www.deepsky-visuell.de/Projekte/DS_Herausforderungen.htm

''[4] Rich Jackiel’s Beobachtung mit 20":'' http://www.astronomy-mall.com/Adventures.In.Deep.Space/s147.htm

''[5] Jay Ead’s Beobachtung mit 17.5":'' http://jaysastronomyobservingblog.blogspot.de/2017/02/january-17th-2017-simeis-147-snr.html

Objekt: Vyssotsky 1-1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.6, Ort: Llanos de las Animas, Zeitpunkt: [[18.01.2018|18. Januar 2018 - La Palma]], Seeing 4-5

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41161122750/" title="Vy 1-1"><img src="https://farm1.staticflickr.com/888/41161122750_fb1138eefd_c.jpg" alt="Vy 1-1"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/41161122740/]]

Objekt: Vyssotsky 1-2 , Teleskop: 21" f/3.8, Vergrößerung: 950x, Filter:-, Ort: [[Lange Rhön|Rhön]], Zeitpunkt: [[15. September 2023|15. September 2023 - Lange Rhön]], Seeing 2-3

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/8CD23AVW2F" title="Vyssotsky 1-2"><img src="https://live.staticflickr.com/65535/53200037424_4736f40b1d_h.jpg" alt="Vyssotsky 1-2"/></a>

Die Transparenz wird von vielen Hobbyastronomen häufig unterschätzt. Ist sie gut, wird ein von Lichtverschmutzung betroffener Himmel dunkler und umgekehrt heller. Im Vergleich mit verschiedenen Beobachtungsplätzen kann dies auch [[manchmal umgekehrt|Nachthimmel La Palma vs. Rhön]] sein. Denn Dunst kann auch den Himmel dunkler machen, was aber ausgesprochen selten ist. 

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/27129409387/in/datetaken-public/" title="Untitled"><img src="https://farm1.staticflickr.com/971/27129409387_0bc903d1bd_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Vergleich bei der Anhebung der Belichtung um 16%. Kamera IPhone 8.</div>

Und noch etwas habe ich heraus gefunden: Es lohnt sich auch vermeintlich geringe Höhenunterschiede zu nutzen, d.h. in meinem Fall von auf 400m üNN (Stumpi) auf 880m üNN auszuweichen. Denn die Transparenz ist je höher man kommt immer besser. So auch auf der Wasserkuppe. Als ich am Morgen des 8. Mai 2018 die Sonne mit dem Zeigefinger am Beobachtungsplatz auf ca. 800m üNN abdeckte, zeigt sie fast keinen Hof. Kurz vor Fulda, an der B458 bei Böckels, auf ca. 345m üNN hatte die Sonne hingegen einen deutlichen Hof. Visuell war aus dem blauen ein graublauer Himmel geworden. Ursächlich ist - vermute ich - neben dem Pollenflug auch Dunst.

Ich habe das Ganze fotografisch mit dem Handy versucht zu dokumentieren. Links ist die Aufnahme am Beobachtungsplatz zu sehen, wo praktisch kein bzw. nur sehr geringer Hof um die Sonne beim Abdecken mit dem Zeigefinger erkennbar ist. Rechts hingegen bei Künzell, war der Hof sehr viel deutlicher. Keine dramatischen Unterschiede, aber deutliche. Ich glaube mir ist die fotografische Dokumentation ausreichend gelungen. Das hatte ich schon mal auf La Palma versucht zu dokumentieren, was jedoch nicht so eindeutig wie in diesem Fall war. Kamera IPhone 8. Die Technischen Daten:

''__A:__'' Höhe 880 m üNN (Wasserkuppe), f/1.8, ''1/3436 s'', ISO 25, 28mm<br>''__B:__'' Höhe 345m üNN (B458 bei Böckels), f/1.8, ''1/4000 s'', ISO 25, 28mm<br>''__C:__'' Höhe 345m üNN (B458 bei Böckels), f/1.8, ''1/4000 s'', ISO 25, 28mm - ''Belichtungszeit in ~ProCamera um 16% angehoben = 1/3436 s''

Bis auf die Belichtungszeit, sind die Bilder identisch. Besser wäre es natürlich gewesen, die zweite Aufnahme mit der Belichtungszeit der ersten zu machen. Dies hätte gezeigt, dass der Himmel tatsächlich in Böckels heller war. So kann nur festgehalten werden, dass der Unterschied in der Belichtungszeit von 16%, was etwa einer Blende von f/6 entspricht. In der App ~ProCamera habe ich das Foto bei Böckels (B) nochmal in der Belichtung um 16% angehoben. Das Ergebnis ist C. 

Ist natürlich nicht wissenschaftlich und zunächst unklar, ob die Belichtungskorrektur in Prozent tatsächlich dem Belichtungsunterschied um 1/564 s entspricht. Tut sie aber, da ich das mit verschiedenen Nachtaufnahmen meiner Sony RX 100 nachgeprüft habe und ich davon ausgehe, dass diese isometrisch arbeitet.

!!''Das kann doch kein Zufall sein oder doch?''

Ich habe das Ganze bereits mit meiner Sony RX 100 III [[auf La Palma vor zwei Jahren|5. April 2016 - Trocha del Reventon]] bereits versucht zu dokumentieren. Leider habe ich da auch nicht die Belichtungszeit nach der ersten Aufnahme notiert, um diese bei der zweiten Aufnahme zu verwenden. Aber dort gab es - unter besten Transparenzbedingungen - sowohl visuell als auch fotografisch eine Belichtungszeitdifferenz von 25% (1/800 sec auf 2200m üNN vs. 1/640 sec 1500m üNN) bei 700m Höhenunterschied. Interessant, dass diese ähnlich hoch ausfällt, wie im Vergleich zur Wasserkuppe. Dabei war die Transparenz insgesamt auf La Palma besser als in der Rhön.

!!''Die Wiederholung''

Am 17. Juli 2018 war ich auf der Rückreise vom Alto Tajo und kam dabei gegen 15:20 Uhr auf dem Puerto de Portillo (1770m üNN) vorbei. Ab dort ging es dann nur noch abwärts. Ich habe dann an verschiedenen Orten wieder Fotos der Sonne mit abgedeckten Finger mithilfe der Sony RX 100 III gemacht mit dem Unterschied, dass sämtliche Einstellungen diesmal fix waren: f=24mm Äquivalentbrennweite (8.8mm), 80 ASA, Blende f/5.6, Belichtungszeit 1/1600 sec, Fokus manuell auf unendlich. Wollte dies parallel auch mit dem iPhone 8 dokumentieren und obwohl ich eine Fotoapp habe, welche die Parameter der Kamera einstellen kann, hat dies nicht geklappt. Ständig haben sich die Parameter wieder von selbst verstellt. Nur nervig. 😖

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41705855530/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1782/41705855530_b277c307fd_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Auch hier zeigt sich, dass 200m Höhenunterschied eine minimale Verschlechterung der Transparenz zur Folge haben. Der Rest ist - denke ich - offensichtlich: der Hof um die Sonne nimmt deutlich zu. 
Zwar muss ich sagen, dass die leichte Quellbewölkung sicher eine Fehlerquelle darstellt, die ich aber aufgrund einer Vielzahl von Aufnahmen und Zeitpunkten ausschließen kann. Darüber hinaus mag sich der eine oder andere fragen, ob die Aufnahmen aufgrund der Höhe der Sonne über dem Horizont korrekt sind. In der Abbildung sind die jeweiligen Höhe (Altitude) der Sonne (als Alt) vermerkt. Das der Sonnenstand während der Aufnahmen sank, ist bedauerlich. Umgekehrt wäre die Aussagekraft noch besser gewesen. Dennoch ist die atmosphärische Streuung, sowie Extinktion auch bei 46° noch vernachlässigbar (s.a. [[Luftmasse (Astronomie) - Wikipedia|https://de.m.wikipedia.org/wiki/Luftmasse_(Astronomie)]]. Andererseits kann man die letzte Aufnahme weglassen. Die Aussagekraft der anderen Aufnahmen ist vergleichbar.

!!''Höhe über was eigentlich?''

Höhe an sich bringt nicht immer einen Vorteil. Das sieht man an den Aufnahmen der Serrania de Cuenca. Auf 900m üNN muss man mit nicht optimaler Transparenz zu rechnen. Als anderes Beispiel sei hier die Tivoli Astrofarm genannt. Diese liegt in Namibia auf 1300m üNN. Trotzdem war bei meinen Besuchen 2015 und 2017 der Himmel nicht transparenter als auf La Palma. Im Gegenteil. Die Farm liegt auf einem Hochplateau und Aerosole sind vermutlich Bodenstäube (feiner Sand), die durch den Wind in die Luft verbracht werden. Um diesem auszuweichen, müsste man in diesem Fall vermutlich auf Berge, die 500m höher liegen. Die gibt es aber nicht. Eindrucksvoll bestätigen tun dies aber Aufenthalte auf dem Gambsberg, der sich über die Hochebene nochmal 500m erhebt. Gleiches lässt sich am Altiplano de Granada (ca. 1000m üNN) und der [[Sierra de Segura (ca. 1600m üNN)|Pinar de Araceli (PDA)]] beobachten.
Im Fall von La Palma ist dies noch eindrucksvoller: Die Insel ragt praktisch „aus dem Nichts“ 2400m aus dem Meer hervor. Keine Hochebene, nix. So ist die unglaubliche Transparenz zu erklären. Und das schon auf 1000m üNN. Nur dort habe ich einen tiefblauen bis türkisen Taghimmel gesehen. Dennoch nimmt die Transparenz auch hier noch mal mit der Höhe zu. 

!!''Was bedeutet das nun?''

Nach meiner Erfahrung entsprechen Aufnahmen mit 3200 ASA (bzw. bei sehr guten Bedingungen 4000 ASA und jeweils 15 sec Belichtungszeit) in der Rhön solchen auf La Palma oder Namibia mit 6400 ASA, was einer Verdopplung der Belichtungszeit bzw. eine Blende Unterschied bedeutet. Auf der Wasserkuppe messe ich dann 21.4 und auf La Palma/Namibia 21.7 im Zenit (90°), sowie 21.2 bzw. 21.5 auf 45°. Der Unterschied von 0.3 drückt sich dann fotografisch in einem Unterschied von einer Blende aus. ''Der Unterschied zwischen einem 21.4 und einem 21.7er Himmel ist aber deutlich!''

!!''Kann man die Transparenz vorhersagen?''

Ich kenne nur einen Wettervorhersagedienst, der Aussagen zur Transparenz macht: [[7timer.org|https://www.7timer.org]]. Dabei sind dies meiner Erfahrung nach aber ausschließlich Ursachen zu Schleierwolken bzw. deren Ursache, die Luftfeuchtigkeit berücksichtigt. Staub, z.B. aus der Sahara hingegen nicht. Sofern sie ursächlich für Zirrusbewölkung sind, wiederum schon.

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/43532650751/" title="Ohne Titel"><img src="https://farm2.staticflickr.com/1822/43532650751_26729da7ae_o.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>7timer Prognose für die Wasserkuppe (Screenshot)</div>

Bei ''7timer'' wird die Transparenz durch die Anzahl von blauen Balken markiert (s. Screenshot). Je weniger angezeigt werden, desto transparenter ist die Atmosphäre. Dabei wird die Höhe des Beobachtungsortes berücksichtigt. Sofern man im Gebirge beobachtet und der Platz deutlich höher und isoliert auf einem Berg steht, sollte man ab ca. 1500m üNN die höhenkorrigierte Anzeige für 2000m üNN wählen. Für die Wasserkuppe werden i.d.R. unter guten Bedingungen drei Balken angezeigt. Ausnahmebedingungen werden durch zwei Balken angezeigt. Einen Balken habe ich als Vorhersage bisher noch nie gesehen. Diese sind praktisch nur auf hohen Bergen, wie dem Roque de los Muchachos auf La Palma (2300m üNN) oder in anderen ähnlich hohen Standorten möglich. Leider werden Beeinträchtigungen durch Wüstenstaub nicht berücksichtigt. Hier hilft die Staubvorhersage von [[AEMET|http://dust.aemet.es]] weiter.

Als Vergleich bietet sich [[meteoblue.com in der "Seeingansicht"|https://www.meteoblue.com/de/wetter/vorhersage/seeing/wasserkuppe_deutschland_2813735]] (Spalte "Clouds") an, wobei man dann die Transparenz anhand des Bewölkungsgrades ableiten kann.

!!''Fazit''

Beobachtungsplätze die höher gelegen sind, sind immer zu bevorzugen, denn der Himmel wird immer transparenter. Es mag andere Gründe geben, dies nicht zu tun, z.B. bei Wind, der i.d.R. in höheren Lagen stärker ist (stimmt auch nicht immer, aber meistens). Darüber hinaus lassen sich tief stehende Objekte immer noch gewinnbringend beobachten. Lasst euch nicht täuschen von vermeintlich hohen SQM bzw. SQM-L Messungen. Meine Erfahrung mit dem SQM-L ist, dass ich noch nie (!) die berühmten 22.0 auf der Anzeige gesehen habe. Erfahrungsgemäß werden z.B. (Achtung: Meine Erfahrung! Mit meinem Gerät!) an Bortle 1-Standorten wie La Palma ([[Roque de los Muchachos|Roque de los Muchachos (RDLM)]]) im Schnitt Werte um 21.7 immer erreicht und das ist auch in Namibia so. Ein transparenter Himmel ist eben gar nicht so dunkel, wie man vielleicht denkt. 

!!''Tip''

Grundsätzlich sollte man Vorhersagen zur Transparenz berücksichtigen, denn so lässt sich eine Beobachtungsnacht im Vorfeld gut einschätzen und von durchschnittlichen Nächten unterscheiden. Ein anderer Aspekt ist, dass eine intransparente Atmosphäre sehr anfällig für Lichtverschmutzung ist. Die Trefferquote bei 7timer ist sehr gut. Nicht nur bei der Transparenz. Bei Wind quasi meine Referenz. Vorhersagefenster ist mit drei Tagen ausreichend. Also rauf auf den Berg!

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/FX0e64" title="Untitled"><img src="https://live.staticflickr.com/65535/48996705513_eaf9fa3c7d_k.jpg"></a>

Endlich! Die erste Beobachtungsnacht in diesem Jahr am heimischen Platz. Im Frühjahr ergab sich keine Möglichkeit, aber das ist jetzt vergessen. Ich bin froh noch nicht im Ruhestand zu sein. Im astronomischen versteht sich. 🤔

Es ist mitten in der Woche. Mathias wird auch kommen. Ich habe hoffentlich alles dabei, denn die Praxis fehlt etwas. 

Leider hat das Wetter nicht das gehalten, was es versprochen hat. Am Ende zieht ein dickes Wolkenband durch, bevor es Aufklaren soll. Hoffentlich! Dann bleibt morgen noch eine Chance. Mal sehen, ob wir die nutzen können. Das ist leider das unbeständige Herbstwetter in Deutschland.

Alle Objekte sind zunächst Nachschauen aus dem letzten Jahr. Und Genussspechteln. Kein Programm. 

!30. Oktober 2019 - erste Nacht

Es geht nach dem Abendessen los. Es ist schon dunkel. Sterne sind schon zu sehen. Wolken auch. Also zum Platz. Brauche bestimmt eine Stunde bis alles steht und ein paar Aufnahmen im Kasten sind. Wolken ziehen bis 21 Uhr durch, wie vorhergesagt. Dann ist es klar. 

<div class="tc-link-info-item-flex-50" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/116383"><img src="https://live.staticflickr.com/65535/48997596537_9b646d0ecb_h.jpg"></a>Nachgeführte Aufnahme des Himmels über der Wasserkuppe gegen 02:48 Uhr. SQM-L 21.4 im Zenit. Der Gegenschein ist auch erkennbar (rechts unterhalb der Plejaden).</div>

Ich mache erst mal eine All Sky Aufnahme. Krass. Was für ein Unterschied zu Namibia. Ist schon am Display zu sehen. Aber so ist das eben. 

Zunächst spechtele ich einfach so rum. M31. Dann M33. Seeing ist sehr variabel, was mit bloßem Auge und bei mittleren Vergrößerungen schon zu sehen ist. 21.2 misst das SQM-L gegen 22:00 Uhr um Porlaris. Standard für die Uhrzeit. Warten ist angesagt. Ich mache schon mal meine All Sky Aufnahmen, dann habe ich sie im Kasten. Bei den ersten hatte ich die N-S Ausrichtung nicht beachtet. Sollen ja alle Aufnahmen, die ich mache vergleichbar sein. Und da ist Norden nunmehr oben und Süden unten.

Der Wind nimmt mal wieder ordentlich zu. 96% relative Luftfeuchte und -1.5°C. Standard im Winter hier oben. Fühlt sich aber nicht wirklich kalt an. Angenehm.

!!!Lichtverschmutzung auf der Wasserkuppe

Die größte sichtbare Lichtverschmutzung kommt ausgerechnet von meiner Unterkunft her. Leuchtreklame! Muss ich morgen mal ansprechen. Vermutlich kann man es auch gar nicht ohne weiteres abschalten.

[[Kohoutek 3-82]]: Schwacher Nebel. Bei 430 fach und UHC-Filter wird ein runder, strukturloser Nebelball sichtbar. Das der UHC besser ist als der OIII habe ich letztes Jahr schon bemerkt. Bei 430 fach deutet sich bereits zaghaft an, dass das Innere etwas dunkler ist. Der Nebel kann bei dieser Vergrößerung indirekt nicht gehalten werden, blitzt aber überraschend hell immer wieder auf. Auf dem Rand ist immer wieder aufblitzend ein schwacher, sternartiger Knoten erkennbar. Bei 290 fach ist das Objekt insgesamt  besser zu erkennen. Dann ist der Nebel indirekt gut zu halten.

!!!Luftalarm?

Schon 0:20 Uhr. Plötzlich heulen Sirenen von der Wasserkuppe herüber. Droht etwa ein Bombenangriff? Hoffentlich nicht! Nach einer Minute ist alles vorbei. Ein Blick an den Himmel verrät, dass keine Flieger mehr unterwegs sind. Wichtig für die All Sky Aufnahmen. Das SQM-L erreicht mittlerweile Werte um 21.36 in Zenitnähe.

Ich bin mit fotografieren beschäftigt. Immer noch fliegen Flugzeuge durch das Bild. Ich dachte es gäbe ein Nachtflugverbot. Gegen zwei Uhr breche ich meine Zelte ab. Das reicht für heute. Morgen ist auch noch eine Nacht.

!!!Zum Schluss zum Radom 

Fahre aber noch mal zum Radom. Super Aussicht, aber der Wind ist schon Mega heftig. Man erkennt, dass die Straßenbeleuchtung in Fulda größtenteils abgeschaltet worden ist. Das gilt auch für die Städte und Dörfer ringsum. Erstaunlich, dass der Nachthimmel trotzdem noch so aufgehellt ist.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/hR2X7j" title="Untitled"><img src="https://live.staticflickr.com/65535/48997302626_b8de3892b8_k.jpg"></a>

Tagsüber bin ich auf der Wasserkuppe unterwegs. Die Aussicht von hier oben ist traumhaft. Man erkennt gut, das es eine Inversionsschicht gibt, die unter der Wasserkuppe liegt.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/V1ip9y" title="Mond &amp; Jupiter"><img src="https://live.staticflickr.com/65535/49012960498_e7e6e26eeb_k.jpg" alt="Mond &amp; Jupiter"></a>

Mond steht bei Jupiter. Schöner Anblick. Vor der astronomischen Dämmerung stehe ich wieder am Radom und blicke auf Fulda herab.

!31. Oktober 2019 - zweite Nacht 

Vorhersage passt zu 100%. Windig, aber trocken. Kalt ist es auch. Seeing ist anfangs nicht so gut. Aber das kann ja noch werden. 

Ich habe das Hotel auf die störende Leuchtreklame aufmerksam gemacht. Man wolle das prüfen und interessanterweise ist man meinem Vorschlag, diese nachts doch besser auszuschalten, nicht abgeneigt. Schon mal gut.

Mathias ist heute da, nach einer perfekten Nacht in Brandenburg. Wir starten mit Klassikern, wie dem Zirrusnebel. Dann M31 und M33. Ich mache mit meiner Nachschau weiter.

Nachschau zu [[He 2-438]]. Schon bei 65 fach verdächtiges Glimmen um einen Stern. Bei 290 fach dann sicher zu sehen. Bei 430 fach dann klar. Aber steht bereits sehr tief und der Wind rüttelt immer wieder am Teleskop. Trotzdem nochmal ein guter Eindruck, um die Zeichnung aus letztem Jahr zu finalisieren.

Es ist heute komischerweise ziemlich kalt. Gestern fand ich es gar nicht so schlimm. Es ist schon fast eine Qual.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/g8B2W0" title="Untitled"><img src="https://live.staticflickr.com/65535/48996964766_f4ee85e596_k.jpg"></a>

Das Foto zeigt den Blick von der Wasserkuppe Richtung Fulda. Fulda ist rechts zu sehen. Aufnahme während der Dämmerung.

Wir unterhalten uns über verschiedene Teleskoptypen und landen schließlich bei den Binokularen. Das ist ein gutes Stichwort, denn einen Feldstecher, den ich selbst besitze, nutze ich viel zu selten. Ich montiere ihn auf dem Stativ und schaue mir M35 und später M42 an. Mathias möchte M81 uns M82 sehen. Mein Gott, wie hell die schon im Feldstecher hier zu sehen sind, die beiden Galaxien! Ich bin zurück bei M42. NGC 1975 knapp darüber ist schwach erkennbar. Der Feldstecher ist richtig beeindruckend. Warum nutze ich ihn nur so selten?

Ich für meinen Teil bin auf jeden Fall durch. Gegen Mitternacht brechen wir schließlich auf. Als ich am nächsten Morgen aufwache, ist das vorhergesagte schlechte Wetter schon da. Draußen regnet es auch kurze Zeit später.

Das Video zeigt Webervögel in der Kalahari. 

<iframe src="https://player.vimeo.com/video/131217419" width="500" height="281" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe> <p><a href="https://vimeo.com/131217419">Weberv&ouml;gel in der Kalahari</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/1o8pVN" title="DSC02203"><img src="https://live.staticflickr.com/65535/49311819638_2a863fcfa4_h.jpg"></a></div>

Ab dem 20. Dezember könnte man gut beobachten. Ich könnte aber erst frühestens am 21. Es bleibt aber zunächst beim Konjunktiv. Denn nach den intensiven Regenfällen auf der kompletten iberischen Halbinsel, sind hohe Wolken angekündigt. Sie dominieren das Wetter bis weit nach Weihnachten. Wohin es am Ende geht, ist zunächst unklar und wird nur vom Wetter abhängen. Präferenz ist der Alto Tajo wegen des besseren Seeing und dem asphaltierten Platz, der dem durchnässten Boden vermutlich vorzuziehen ist.

!Es geht wieder zum Alto Tajo...

Am 27. Dezember sollte es los gehen. Sollte. Alles geplant und gefreut. Aber die Hostales auf dem Alto Tajo sind alle belegt. Unglaublich! Was erlaube! 

Alternativen sind gefragt. Also wieder zum Pinar de Araceli. Leider kenne ich dort nur offenes und leider nicht asphaltiertes Gelände. Aber was soll’s. Die Fahrtzeit beläuft sich auf fast fünf Stunden. Das doppelte wie zum Alto Tajo. 

!Nein! Es geht es doch in den Pinar de Araceli...

Aber etwas positives gibt es auch. Die All Sky Aufnahmen aller meiner Plätze wären damit im Kasten. Fehlt nur noch der Pinar. 
Im Moment herrscht aber eine SW-Strömung vor, so daß es auf 2000m Temperaturen um +10 °C gibt. Und sehr trockene Luft, vermutlich aus der Sahara.

!!Der Mond stört praktisch fast alle Nächte

Es bleiben „nur“ vier, max. fünf Nächte. Am 27. Dezember geht der Mond 🌒 zu Dämmerungsbeginn unter. Am 28. am Ende. Zu Silvester geht der Mond erst um 23 Uhr unter. An Neujahr erst um Mitternacht. Auf der anderen Seite: Es bleiben selbst dann sieben Stunden für die Beobachtung bevor die Morgendämmerung einsetzt. Also nicht beschweren! Zur Wasserkuppe fahre ich auch, selbst wenn der Mond erst gegen Mitternacht untergeht.

Ich hoffe nur, daß es im Gelände nicht schlammig oder matschig ist. Das wäre eine kleine Katastrophe. Denn zugängliche asphaltierte Flächen sind eine Rarität. 
 
Ein Anruf im Hostal Escobar in La Matea und zum Glück bekomme ich ein Zimmer. Hier konkurriere ich nicht mit „Silvestertouristen“, die im Hotel feiern werden. Ich werde noch darauf hingewiesen, dass es keine Feier zu Silvester gibt und auch kein spezielles Abendessen. Sehr gut! Brauche ich nicht. Obwohl der Mond bis 23 Uhr am Himmel stehen wird. 

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 27.-28.12.|27. Dezember 2019 - Pinar de Araceli]]|''14" Dobson, 6 h, Ort: Pinar de Araceli, SQM-L 21.55, +3.5 °C, 2 Objekte''<br>__[[NGC 2392 - Eskimonebel]]__, __[[NGC 1535 - Kleopatras Auge]]__, M33, C/2017 T2 (PANSTARS)|
|[[2. Nacht / 28.-29.12.|28. Dezember 2019 - Pinar de Araceli]]|''14" Dobson, 11 h, Ort: Pinar de Araceli, SQM-L 21.7, +3.2 °C Celsius, 4 Objekte''<br>__[[NGC 7497 & MBM 54]]__, M51, __[[M78]]__, M42 & Highlights der Wintermilchstraße, __[[Astrofoto M31 & M33|M31 & M33]]__|
|[[3. Nacht / 29.-30.12.|29. Dezember 2019 - Pinar de Araceli]]|''14" Dobson, 8 h, Ort: Pinar de Araceli, SQM-L 21.7, +3 °C, 4 Objekte''<br>__[[M33]]__, Foto der Wintermilchstraße im Orion & Fuhrmann|
|[[4. Nacht / 30.-31.12.|30. Dezember 2019 - Pinar de Araceli]]|''14" Dobson, 9 h, Ort: Pinar de Araceli, SQM-L 21.7, +3 °C, 4 Objekte''<br>__[[M33]]__, M46 & M47, IC 2391 & NGC 2669, __[[M81]]__|
|[[5. Nacht / 31.-01.01.|31. Dezember 2019 - Pinar de Araceli]]|''14" Dobson, 6 h, Ort: Pinar de Araceli, SQM-L 21.8, +4 °C, 1 Objekt''<br>__[[M33]]__, __[[M81]]__|
|!5 Nächte|!Gesamtbeobachtungszeit ca. 35 h, [[5 Objekte gezeichnet|Pinar de Araceli 2019 - Zeichnungen]]|

Insgesamt bin ich auf fünf Nächte gekommen. Zum Standort ist bereits [[alles gesagt|Pinar de Araceli (PDA)]]. Bortle 2 (wegen der sichtbaren Lichtverschmutzung am Horizont der Metropolen wie Granada und Murcia). SQM-L Werte von 21.7 bis 21.8 sind guter Durchschnitt.

!!Beobachtungsbedingungen

Das Seeing war auch diesmal stets gut. Was wohl auch am Wind lag. Alle Nächte war es praktisch windstill. Etwas unheimlich war das. Man konnte das Gras „wachsen hören“. Manchmal habe ich mich über Geräusche erschrocken, die ich selbst verursacht habe.
Der Pinar de Araceli ist - wie vermutet - auf Augenhöhe zum [[Alto Tajo]]. Die [[All Sky Aufnahmen|All Sky Panoramen]] sind praktisch nicht zu unterscheiden. An beiden Standorten stören Lichtglocken ggf. Je nach Transparenz ragen sie 5° bis 10° über den Horizont. Je nach konkreter Standortwahl können diese auch durch Bäume verdeckt und so einen absolut dunklen Himmel zeigen.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/bB9XXb" title="DSC01959"><img src="https://live.staticflickr.com/65535/49315655062_764a2e3f92_k.jpg"alt="DSC01959"></a>

!!Beobachtungsobjekte & ein kleines „Projekt“

Objekte hatte ich dieses mal nur wenige vor der Linse bzw. dem Spiegel. Im wesentlichen handelte es sich um Nachschauen aus dem letzten Jahr und „Genussspechteln“. Ich habe mir mal vorgenommen etwas großes zu machen. 🤔 Eine Art Projekt. Es geht konkret um M33. Eine Beobachtung bzw. Zeichnung der berühmten Galaxie über mehrere Nächte hinweg. Zu Beginn der astronomischen Dämmerung steht sie praktisch im Zenit und ist mehrere Stunden hervorragend beobachtbar. Darüber hinaus möchte ich ein paar Fotos machen bzw. Mosaike der Herbst- und später der Wintermilchstraße. Weiterhin standen lose ein paar weitere Objekte an.

!!Timelapse Video

Unten ist ein Video zu sehen, dass eine Zeitrafferaufnahme des gesamten Nachthimmels vom 28.12.2019 von Dämmerungsende bis zur Morgendämmerung zeigt.

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Diesmal sollte die Beobachtungsfreude im Vordergrund stehen. Und das tat sie. Nicht zuviel vornehmen. Den Feldstecher in die Hand nehmen bzw. auf ein Stativ setzen und beobachten. Diese Kombi funktioniert vor allem bei horizontnahen Objekten gut. Das geht natürlich nur unter einem von Lichtverschmutzung möglichst wenig betroffenen Himmel.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/BwSD81" title="Untitled"><img src="https://live.staticflickr.com/65535/49315909786_d3a135dffe_k.jpg" ></a>

An Neujahr bin ich auf dem Weg nach Hause. Ich fahre trotzdem einen Umweg, um wieder den Weg am 
[[OLS|http://www.observatoriodelasagra.com/]]   vorbei zu nehmen und den Pass zu überqueren. Von hier aus hat man einen guten Blick Richtung Sierra Nevada, die über 100km entfernt weiter südlich liegt.

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;">  <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/wp2KkYm396" title="Untitled"><img src="https://live.staticflickr.com/65535/52574593502_e20a913090_h.jpg"></a></div>

Es ist wie immer: Bewölkt. Wir haben Dezember und der Resturlaub muss weg. Ich bin diesmal auf dem Weg zurück zu alten Zeiten, d.h. zu alten Beobachtungsplätzen und auch Erinnerungen. Mit dabei ist der 14 Zöller. Lange her, dass ich ihn benutzt habe. Lieber wäre mir tatsächlich der 21 Zöller, aber das geht einfach nicht. Leider. Der Fotokram ist natürlich auch mit dabei.

Die Schlepperei ist ziemlich grenzwertig. Ich denke, ich bin mittlerweile zu alt dafür. Ich schwöre mir, nie wieder so eine Aktion zu machen. Das liegt zum einen daran, dass der Rucksack circa 15 kg hat und der kleine Rollkoffer ebenfalls. Zusätzlich habe ich noch zweimal 23 Kilo dabei.

!Digitales Zeichnen

Diesmal ist kein klassisches „Zeichenzeug“ im Gepäck. Das bedeutet, dass ich kein Skizzenbuch und auch keine Bleistifte inklusive Wischer, Radierer u.s.w. mit dabei habe. Stattdessen habe ich komplett auf [[digitales Zeichnen|Digitale Zeichnung]] umgestellt. Die Überlegungen hierzu waren nicht einfach und treiben mich schon seit einigen Jahren um. Ein großer Nachteil der bisherigen Vorgehensweise ist, dass man praktisch zweimal zeichnen muss. Einmal die Skizze und dann zu Hause die Reinzeichnung. Ich habe auch schon in der Vergangenheit ein Back-Testing gemacht und die Reinzeichnung als digitale Kopie nochmal mitgenommen und am Teleskop bei der nächtlichen Beobachtung verifiziert. Dabei habe ich zu meinem Erstaunen festgestellt, dass ich die Tatsachen gut eingefangen hatte und es kaum Abweichungen gab. Trotzdem ist es aus meiner Sicht besser, die Reinzeichnung direkt am Teleskop anzufertigen. Interessanterweise hatte ich dies auch am Anfang meiner Beobachtungskarriere so gemacht, allerdings ist dies nicht gut durchzuhalten, denn durch die Arbeit am Teleskop wird die Zeichnung tatsächlich auch direkt beschädigt, zum Beispiel durch Knicke oder durch Verunreinigungen des Papiers bei  unsachgemäßen ablegen etc. Darüber hinaus verursacht es bei der Beobachtung nur weiteren Stress, den man sich ja eigentlich nicht wünscht. Das ist vermutlich auch der Grund, warum die meisten Beobachter zunächst nur Skizzen anfertigen. Leider ist dies mitunter auch aufwändig, da in den Skizzen ja auch zusätzliche Informationen enthalten sein müssen, um eine exakte Reinzeichnung anfertigen zu können. Bei mir sind es zum Beispiel die Helligkeit der Sterne, so wie ich sie tatsächlich am Okular erlebe. 

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;">  <a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/54QS8CZ3Cj" title="Untitled"><img src="https://live.staticflickr.com/65535/52575931628_36dfa7c949_h.jpg"> </a></div>

Dann wieder spezifische Informationen über Halos von hellen Sternen und Ausrichtung der Fangspiegelspinne im Bild. Sowas kann man sich natürlich sparen, wenn man direkt am Teleskop zeichnet und auch die Sterne Helligkeit korrekt erwischt. Man kann dann auch immer wieder hin und her gucken, d.h. den Blick am Okular mit der Zeichnung vergleichen und so schon direkt die Exaktheit vor Ort aufs Papier bringen. Wobei „aufs Papier bringen“ nicht geht, aus den vorgenannten Gründen. Aber es gibt natürlich eine Alternative: die digitale Zeichnung auf dem Tablet beziehungsweise in meinem Fall auf dem iPad. Der Schritt dorthin ist eigentlich nur logisch: falls man tatsächlich nicht seinen analogen Workflow aufgeben möchte, kann man trotzdem zunächst den Skizzen-Workflow digitalisieren. Damit muss man dann nicht mehr mit dem Skizzenbuch und den Bleistiften umherreisen, sondern kann - wie in meinem Fall - darauf verzichten. Dann kann man auf jeden Fall mit dem Thema digitale Zeichnung auf diesem Gebiet erst mal Erfahrung sammeln und im zweiten Schritt dann auch die Reinzeichnung durch eine digitale ersetzen. Mich hat in diesem Kontext insbesondere das Thema Planetenzeichnung gereizt, da hier der Aufwand für die Reinzeichnung im Nachgang in der Regel recht hoch ist. Man hält auch unmittelbar ein Ergebnis in den Händen, was ich sofort am Teleskop am Beispiel des Planeten verifizieren lässt. Das ist natürlich ein riesengroßer Vorteil!
In meinem Fall sind die Investitionskosten auch relativ niedrig, denn ich muss eigentlich nur einen Stift kaufen. Dies ist insbesondere im Moment von Vorteil, da die Papierpreise in die Höhe schießen.

!Mathias meldet sich: Auf der Wasserkuppe gehen zwei Nächte 

Doch nun zurück zur Beobachtung. Geplant ist zunächst zwei Nächte zu beobachten. Danach wird es zwei Nächte voraussichtlich bewölkt sein. Mathias meldet sich aus Deutschland und berichtet von zwei Nächten, die klar vorhergesagt sind. Allerdings bei -11 °C. 
Ich werde es allerdings nicht ganz so kalt haben, dachte ich zumindest 🤨, aber dafür ist es die nächsten Nächte wohl recht feucht. Das liegt daran, dass es kräftig geregnet hat und die Feuchtigkeit natürlich noch im Boden stecken wird. Auf der Wasserkuppe werden im Gegenzug 17 % relative Luftfeuchtigkeit vorhergesagt, was extrem ungewöhnlich ist. Bei mir sind es für morgen sogar 100 %!

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 17.-18.12.|17. Dezember 2022 - Pinar de Araceli]]|''14" Dobson, 7 h, Ort: Pinar de Araceli, SQM-L 21.5, -2 °C''<br>[[M 1 - Krebsnebel]], [[M 33]], Highlights der Wintermilchstraße, M 42|
|[[2. Nacht / 18.-19.12.|18. Dezember 2022 - Pinar de Araceli]]|''14" Dobson, 8 h, Ort: Pinar de Araceli, SQM-L 21.5, -2 °C''<br>[[M 1 - Krebsnebel]], [[IC 443 - Quallennebel]], M42 & Highlights der Wintermilchstraße|
|[[3. Nacht / 19.-20.12.|19. Dezember 2022 - Pinar de Araceli]]|''14" Dobson, 4 h, Ort: Pinar de Araceli, +3 °C''<br>[[Jupiter mit Io Transit]], [[M 33]], Fotos der Wintermilchstraße im Orion & Fuhrmann|
|[[20. Dezember|20. Dezember 2022 - Sierra de Segura]]|''Ausflug in die Sierra de Segura''|
|[[21. Dezember|21. Dezember 2022 - Besuch auf dem Calar Alto]]|''Tagesausflug zum Carlar Alto''|
|[[22. Dezember|22. Dezember 2022 - Campos de Hernan Perea]]|''Erkundung des Campos de Hernan Perea''|
|[[4. Nacht / 23.-24.12.|23. Dezember 2022 - Campos de Hernan Perea]]|''14" Dobson, 9 h, Ort: Campos de Hernan Perea, SQM-L 21.7, +5 °C''<br>Laevens 3, R Aquarii, [[M 1 - Krebsnebel]], [[IC 443 - Quallennebel]], Galaxienhaufen Abell 539, [[NGC 2163]]|
|[[5. Nacht / 24.-25.12.|24. Dezember 2022 - Campos de Hernan Perea]]|''14" Dobson, 6 h, Ort: Campos de Hernan Perea, SQM-L 21.6, +7 °C''<br> Laevens 3, R Aquarii, [[Mars|Mars am 24.12.2022]], Nordamerikanebel und Pelikannebel im Feldstecher & weitere Highlights, [[NGC 7538]]|
|!5 Nächte|!Gesamtbeobachtungszeit ca. 35 h, [[7 Objekte gezeichnet|Zeichnungen - Weihnachten 2022]]|

Die umliegende Sierra de Segura ist landschaftlich sehr reizvoll und lädt zu Ausflügen jeglicher Art ein. Dabei trifft man auf die typische Vegetation am südlichen Mittelmeer. Insbesondere der Kontrast zu unseren Landschaften finde ich so reizvoll. Hier dominiert das Licht, das spärliche graugrün der Pflanzen und Nadelbäume. Die Berge erreichen hier Höhen um 1600-1800 m üNN, die häufig ausreichen, um über der Inversionsschicht zu sein. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/0Ra0x7Cvu1" title="Untitled"><img src="https://live.staticflickr.com/65535/52586586317_42e8a65d5d_k.jpg"></a>

!Tagesausflug zum Calar Alto

Der Calar Alto ist in etwa zweieinhalb Stunden per Auto erreichbar, die Sierra Nevada natürlich auch. Für unser Hobby sind beide allerdings nicht gut geeignet, denn die Lichtverschmutzung ist durch die Großstadt Granada in der Sierra Nevada tatsächlich extrem. Dem Calar Alto macht hingegen Almería zu schaffen. Dies wirkt sich sogar schon auf den Beobachtungsplatz hier aus, wo im Südwesten Granada liegt und als großer und heller Lichtbuckel erkennbar ist. Almería und Murcia sind ebenfalls im Osten gut zu sehen. Insgesamt muss man wissen, dass die Lichtverschmutzung in Spanien deutlich höher ist, bezogen auf die Einwohnerzahl. Dabei handelt es sich um eine persönliche Schätzung meinerseits, allerdings mit einer Historie von fast 20 Jahren. 

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/7H1XQcD5Bo" title="Untitled"><img src="https://live.staticflickr.com/65535/52581403028_2ca79eb8a9_k.jpg"></a>

Dennoch ist der Himmel an vielen Orten in Spanien besser als in Deutschland, was daran liegt, dass Spanien weniger als die Hälfte der Einwohner von Deutschland hat und das Land viel weniger zersiedelt ist als Deutschland. Ist man hier auf einer Landstraße unterwegs, kommt man fast genauso schnell vorwärts wie auf der Autobahn. 

In Deutschland undenkbar. Auf spanischen Landstraßen ist man häufig bis zu 20 km unterwegs, ohne dass man überhaupt ein Dorf sieht. Dennoch bleibt festzuhalten, dass viele Dörfer nur von wenigen Menschen bewohnt sind, aber trotzdem die komplette Straßenbeleuchtung nachts an ist. Das ist wirklich traurig aus unserer Sicht, denn so hätte man in vielen Regionen Spaniens sonst einen noch dunkleren Himmel. 

! Beobachtungsobjekte

Diesmal standen einige Supernovaüberreste der Wintermilchstraße im Vordergrund, da ich für die nächste Ausgabe der Astrozeitschrift einen Artikel schreibe, der natürlich auch möglichst aktuelle Beobachtungen zu dem Thema beinhalten soll. Darüber hinaus habe ich das Projekt M 33 noch mal „restarted“, dass ich bereits hier begonnen und eigentlich auch finalisiert hatte, die Zeichnung ist seitdem allerdings verschollen. 

<div class="tc-link-info-item-large" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Y8413V3bWJ" title="Untitled"><img src="https://live.staticflickr.com/65535/52583177543_bb0f729f05_k.jpg"></a></div>

!Hostal „El Escobar“ im Dorf La Matea

Preislich kann man in solchen Regionen sehr gut in Hotels unterkommen. In meinem Fall liegt das Hotel „El Escobar“ in einem kleinen Dorf mitten in der Sierra de Segura. Die Behandlung ist fast familiär und als rund um sehr gut zu bezeichnen. Gefunden hat es ein Sternfreund vor einigen Jahren.

Hier bin ich immer wieder gerne, da man neben der Unterbringung auch direkt vor Ort im Restaurant im Erdgeschoss essen kann und das Essen ausgezeichnet ist. Auch Brote für die Nacht werden gerne gemacht, einfach traumhaft eben. Von daher ist man hier gut aufgehoben!

Der Himmel ist im übrigen nicht so dunkel wie in der Vergangenheit. Ob es nur daran lag, dass es immer wieder hohe Wolken gab, die zum Teil auch gar nicht mit bloßem Auge erkennbar sind oder ob es tatsächlich an möglicherweise zunehmender Lichtverschmutzung liegt, bleibt unklar. Letztlich ist der Himmel bis fast in den Zenit mit einem grünlichen Schleier überzogen. Das Zodiakallicht ist im Gegensatz zur Rhön aber die ganze Nacht über sichtbar und die Milchstraße deutlich strukturiert.

Wieder eine schöne Astroexkursion, die sich wirklich gelohnt hat. Mittlerweile schätze ich es auch, wenn es nicht jede Nacht klar ist. Denn irgendwann muss man sich auch mal entspannen, denn astronomische Beobachtung inklusive Dokumentation können richtig in Arbeit ausarten!

Objekt: Weinberger-Dengel 1, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 40, 65 & 114x Filter: UHC, Bedingungen: SQM-L 21.8, Ort: Muela de San Juan, Zeitpunkt: [[02.01.2019|02. Januar 2019 - Muela de San Juan]]

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/VH26X4" title="WeDe 1"><img src="https://farm8.staticflickr.com/7899/33096959308_88ab97b604_c.jpg" alt="WeDe 1"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/33096959318/in/dateposted/]]

Objekt: Weinberger-Sabbadin 5, Teleskop: 14" f/4.6 Newton, Vergrößerung: 114 fach, Filter: OIII, Bedingungen: SQM-L 21.84, Ort: Pinar de Araceli, Zeitpunkt: [[24.07.2017|24. Juli 2017 - Pinar de Araceli]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/36105847500/in/datetaken-public/" title="Weinberger-Sabbadin 5"><img src="https://farm5.staticflickr.com/4440/36105847500_ebed6b7ffc_c.jpg" alt="Weinberger-Sabbadin 5"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/36105847680/in/datetaken-public/]]

Die Wettervorhersage ist wichtig und trägt fast ausschließlich zur Entscheidung, ob beobachtet wird, bei.

Ich verwende unterschiedliche Dienste im Internet:

*[[7timer.com|http://www.7timer.com]] - Gut bei der Vorhersage der Wolken und Feuchtigkeit insbesondere durch die +2km Sicht.
*[[meteoblue.com|http://www.meteoblue.com]] - Gute Vorhersage. In der Tagesübersicht für Deutschland häufig zu optimistisch (Klar, kann auch bedeuten, dass Zirren durchziehen). Die Ansicht Astronomy Seeing ist sehr gut, wobei auch hier die Seeing Prognose sehr optimistisch ist. Wolkenvorhersage in dieser Detailansicht aber sehr gut.
*[[aemet.es|http://www.aemet.es]] - Staatlicher spanischer Wetterdienst. In Spanien sehr gut. Stundenvorhersage extrem genau. Leider nur für Ortschaften möglich.
*[[eltiempo.es|http://www.eltiempo.es]] - Spanischer Dienst. Ebenfalls sehr gut. Einen Tick optimistischer als aemet.es und daher nicht ganz so gut.

Objekt: Whiting 1, Teleskop: 25" f/4 Newton, 
Vergrößerung: 278x, Filter: -, Bedingungen: SQM-L 22.0, Ort: Tivoli Astrofarm, Zeitpunkt: [[6. & 7.08.2018|7. August 2018 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/SGz0Vq" title="Whiting 1"><img src="https://live.staticflickr.com/65535/49183189782_0ab01c1912_c.jpg" alt="Whiting 1"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/49182488068/in/photostream/]]

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/E7i2Sy" title="Untitled"><img src="https://farm2.staticflickr.com/1915/45520257454_95b22fde16_h.jpg"></a>Links Sony Alpha 6300 und rechts Sony RX 100 III.</div>

Ich schlage mich schon seit längerem mit dem Gedanken herum mir eine neue Kamera zuzulegen. Aktuell besitze ich eine Sony RX 100 III. Eine hervorragende Kompaktkamera, die sich auch sehr gut für Schnappschüsse während der Nacht einsetzen lässt. So groß wie eine Zigarettenschachtel, leistet sie mir sehr seit 2014 gute Dienste. Mittlerweile kostet sie circa 470 €. Ich habe damit meine ersten visuellen Astroexkursionen aufgezeichnet. Aus dem analogen Zeitalter kommend, sind aktuelle Digitalkameras einfach nur als Traum zu bezeichnen.

!!Vorteile meiner Sony RX 100 III 

''+'' Sehr gutes Objektiv von Zeiss, welches bei 24 mm (umgerechnet auf KB-Format) eine Blende von 1.8 aufweist. Das ist unglaublich lichtstark.<br>
''+'' Bildstabilisierung, so dass auch bei schlechtem Licht aus der Hand fotografiert werden kann. Bei Astroaufnahmen natürlich nicht. Dabei ist die Stabilisierung im Objektiv untergebracht.<br>
''+'' Sehr guter ein Zoll CMOS Chip und sehr gute Bildqualität.<br>
''+'' Max. sinnvolle ASA 6400 einsetzbar (praktische Erfahrung). Bei 5000 besser, da etwas geringeres Rauschen.

!!Nachteile meiner Sony RX 100 III 

''-'' Sehr kompakt. Man muss aufpassen, dass sie einem nicht aus der Hand flutscht.<br>
''-'' Geringe Schärfentiefe durch kleinen Sensor. Wenn sich Staubkörner in der Zoomlinse sammeln, wie in meinem Fall und nicht nur da, sind „Dustspots“ die Folge, die kaum vermieden werden können, es sei denn man fotografiert nur noch bis maximal Blende 3-4.<br>
''-'' Durch die geringe Chipgrösse stärkeres Rauschen.<br>
''-'' Bei der Nutzung des Zooms kommt es bei 70mm Zoom zu Randabschattungen in den Bildecken.<br>
''-'' Fotografie am Teleskop nur afokal unter Nutzung eines Okulars möglich. Funktioniert aber erstaunlich gut.

!!Dustspots

Ich habe schließlich aufgrund der Tatsache, dass ich Staub auf dem Chip vermutet habe, die Kamera zerlegt. Denn ich wollte mit den unschönen Dustspots nicht leben (Hat bei einer älteren Panasonic geklappt, die ich reinigen konnte.). Dabei stellte sich heraus, dass der Staub nicht auf dem Chip selbst war, sondern zwischen den hinteren, nicht zugänglichen Linsen nahe des Chips. Offenbar sind die dort im Laufe der Jahre durch das auf- und zu fahren der Linse hinein gekommen. Vermutlich stellt das ein Problem bei diesen extremen Kompaktkameras dar, da hier aufgrund der Chipgröße die Tiefenschärfe auch bei kleinen Blenden extrem groß ist, so dass weite Teile jenseits des Fokus, d.h. vor dem Chip, noch scharf abgebildet werden. Was bei Fotografen in der Regel positiv gewertet wird (man denke nur an die Temperaturschwankungen nachts, wo ständig nachfokussiert werden muss), ist hier ein Nachteil. Die Staubkörner werden leider, obwohl geschätzte 4-5mm vor dem Chip liegend, zwar unscharf, aber recht deutlich abgebildet. Ist natürlich von der eingesetzten Blende abhängig.
Nachdem ich die Kamera wieder versucht hatte zusammenzubauen, habe ich dummerweise das Monitorkabel durchtrennt. Die Kamera funktioniert zwar noch, aber der Bildschirm natürlich nicht mehr. Und so bin ich jetzt quasi auf den elektronischen Sucher angewiesen, was mir viel zu umständlich ist. Das Problem mit den Dustspots ist natürlich auch nicht gelöst.

!!Anforderungen an „die Neue“ 

Zunächst mal möchte ich eine Kamera auch außerhalb der Astronomie nutzen. Dann soll sie halbwegs handlich bleiben. Ich möchte damit keine ausgedehnten Aufnahmen am Teleskop ect. machen. Sie soll - wie meine Sony RX 100 III - das gesehene erlebbar machen. Keine Nachbereitung, zumindest plane ich keine. Wie bisher auch. RAW Format ist erstmal egal. Einzig für Panoramen, die ich in MS ICE zusammen setzten möchte, sollen gehen. Die mache ich stets als JPEG. Mehr soll sie erstmal nicht können. Und es muss eine Sony sein, da ich nicht mehr umsteigen möchte.

Keine Uralttechnik. Nur Modelle die noch dem aktuellen Stand der Technik zumindest halbwegs entsprechen, so dass man deren Vorteile nutzen kann, z.b. rauschärmere Chips. Da sind Preisunterschiede von 200 € mehr kein Argument.

!!Was als nächstes kaufen?

Nun gut, das Kapitel Sony RX 100 III ist beendet. Im Prinzip kann ich die Kamera ja noch für Notfälle benutzen. Aber eigentlich ist sie hinüber. Was also als Nächstes kaufen? 
Für 460 € ist mir eine neue Kamera dieses Typs zu teuer. Für 774 € gibt es bereits eine Sony Alpha 6300 inklusive Kit-Objektiv. Für weitere 289 € gibt es das berühmte ''Samyang 2/12 mm''. Und für 377 € ein ''Sigma 1.4/16 mm'' mit lt. Reviews hervorragenden Abbildungseigenschaften. Damit ist es nochmal deutlich lichtstärker als das Zoom meiner Sony RX 100 III und das fast um eine volle Blende! Damit kann man statt 15 sec bei 6400 ASA (für Namibia) auf 3200 ASA runter gehen oder nur 7-8 sec belichten und das Rauschverhalten ist eh besser, als bei dem in der RX 100 verbauten ein Zoll Chip.

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/Z94cHS" title="Untitled"><img src="https://farm5.staticflickr.com/4819/32360397908_e4c5a46310_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Vergleich Sony RX 100 vs. Alpha 6300 im Dunklen in meiner Küche.</div>

!!Das Vollformat kommt nicht in Frage

Für das Vollformat stehen die 7er Reihe zur Verfügung und da vor allem die erste Version. Sie kostet etwa das gleiche wie die 6300, aber von den Features her passt sie eher auf die Sony Alpha 6000. Videoaufzeichnung in 4K wie bei der 6300 gibt es nicht. Das ''Samyang 2/12 mm'' ist im Vollformat nur als 2.8/14mm erhältlich, wobei in der Vollformatversion kein Filter angebracht werden kann, da die Frontlinse stark gewölbt ist (Wichtig, wenn man mal einen Weichzeichner einsetzen möchte). Das ist bei der APS-C Version nicht so. Darüber hinaus ist das Objektiv gleich mal 100 EUR teurer und natürlich größer und schwerer. Die Sigma Objektive kosten auch sofort das Doppelte verglichen mit den APS-C Versionen. Das Gewicht der Teile verdoppelt sich auch. 🥺 Interessant für das Vollformat ist das ''Sigma 20 mm f1.4''. Dafür werden aber 900 € aufgerufen, dass ist soviel die Kamera selbst mit Kit-Objektiv bezahlt werden muss (egal ob A6300 oder A7). Und auch hier können wegen der festen Sonnenblende keine Objektivfilter angebracht werden. Die optische Leistung ist sehr beeindruckend, wie [[dieses Foto bei Offenblende|https://blog.sigma-foto.de/wp-content/uploads/2016/08/B1_008.jpg]] hier zeigt. Darüber hinaus stehen ein 14mm f1.8, sowie 24mm f1.4 bereit. Im APS-C gibt es nach unten, also zu noch kürzeren Brennweiten, leider nichts mehr. Aber das leisten ja auch Panoramaaufnahmen.
Weiterhin vignettiert offenbar das E-Mount Bajonett. Das ist bei der Verwendung von Objektiven mit E-Bajonett kein Problem. Da sitzt zumeist die hintere Linse hinter dem objektivseitigen Anschluss. Bei der Fotografie z.B. über T2-Adapter droht hingegen eine Randabschattung auf den Bildern.

!!Rauschen

Sony hat ab der Alpha 6300 einen neuen APS-C Chip verbaut, der diversen Tests zufolge weniger rauscht als der alte, der in der 6000 steckt. Reviews zeigen, dass das Rauschen bei der 6300 und 7 kaum signifikante Unterschiede aufweist. Erst ab 6400 ASA gibt es wohl überhaupt erkennbare Unterschiede. Darüber hinaus ist es Nachts meistens kalt. Dann ist es die Kamera auch und das Rauschen nimmt deutlich ab. Darüber hinaus habe ich vor Panoramen zu schießen, wie mit meiner Sony RX 100. Dann ist das Rauschen eh sekundär, da viele Aufnahmen kombiniert werden. Einzig das großflächige Farbrauschen - wie bei meiner Sony RX 100 III - ist dann evtl. noch ein Thema, da man es eher schlecht entfernen kann. Je heller der Sternenhimmel, je kälter die Nacht, desto weniger stört das Rauschen. Denn dann dominiert die Lichtverschmutzung bzw. der helle Himmelshintergrund. Am meisten gestört hat es bisher in Namibia, wo der Himmel sehr dunkel und die Nächte auch nicht immer eiskalt sind (im Schnitt so um die +5 Grad Celsius).

!!Praktisches im Alltag

Will man die Kamera - wie in meinem Fall - auch außerhalb der Astronomie nutzen, ist ein kleiner Aufhellblitz Pflicht. Gibt es bei der Alpha 6300, aber bei der 7ner Reihe nicht. Serienbilder. Liefert die Alpha 6300 sehr ordentliche 11 Bilder pro Sekunde. Die Alpha 7 nur 4 Bilder pro Sekunde. Nicht so wichtig für mich.

!!Entscheidung für die Alpha 6300

Ich habe mich aufgrund der o.a. Ausführungen für die A6300 entschieden. Wie überraschend. 😮 Mittlerweile habe ich auch das Sigma 16mm Objektiv für die Astrofotografie. 

!!Erste Tests

Ich habe die Kombo, d.h. Sigma 1.4 und Sony A6300 sowie meine alte Sony RX100 III einem kleinen Trockentest unterzogen. Aufnahmen mit Zimmerlicht sowie in der dunklen Küche. Bei Zimmerlicht sind die Unterschiede gering. In der dunklen Küche hingegen dramatisch unterschiedlich: Hier steht mit dem Sigma eine Blende mehr Licht zur Verfügung und selbst im direkten Vergleich mit der Sony RX100 III liefert ein Abblenden auf f1.7 gegenüber f1.8 bei der RX100 III immer noch ein deutlich helleres und detailreicheres Bild. Krass! Ich bin schon gespannt wie dies unter dem Sternenhimmel sein wird. 

!__''Fazit''__

Wie geht es weiter? Die Kamera ist inklusive Kit-Objektiv nun da. Hier noch mal die Vor- und Nachteile im Überblick.

!!Vorteile der Sony A6300 gegenüber Sony RX 100 III und der Sony A7

''+'' Sehr guter APS-C CMOS Chip und sehr gute Bildqualität.<br>
''+'' Mit dem Sigma 16mm f1.4 steht mehr als eine Blende mehr zur Verfügung. Das Objektiv kostet 377 € extra. Trotzdem sehe ich das Ganze als Vorteil gegenüber der RX 100 III. Der Vorteil ist auch bei der Alpha 7 gegeben, da auch hier f1.4 Objektive zur Verfügung stehen aber jeweils mit Preisen jenseits der 900 €.<br>
''+'' Sehr guter und schneller Autofokus. Deutlich besser als bei meiner kompakten und lt. Netz auch besser gegenüber einer Alpha 7.<br>
''+'' Geringeres Rauschen der A6300 gegenüber der RX 100 III. Das großflächige Farbrauschen scheint bei der A6300 nicht in Erscheinung zu treten. Bei der Alpha 7 ist das Rauschen ab 6400 ASA lt. Netz noch mal besser gegenüber der A6300, wenn auch nur gering.<br>
''+'' 4k-Videoaufnahmen möglich.<br>
''+'' Objektiv kann gewechselt werden, so z.b. auf ein Sigma 16mm mit f1.4. Gibt es auch für das Vollformat, aber mit einem Gewicht der Linse von fast einem Kilo und mehr als doppelt so teuer.<br>
''+'' Bei T2-Anschluss an ein Teleskop keine Vignettierung, da Chip deutlich kleiner als T2-Durchmesser (bisher keine praktische Erfahrung).<br>
''+'' Aufhellblitz. Gibt es auch in der RX 100 III, aber nicht in der Alpha 7ner Reihe.<br>
''+'' Größerer Dynamikumfang. Kleinster bei der Sony RX 100 III und er wächst theoretisch um eine Blende zur A6300 und um eine weitere bei der A7.

!!Neutral

''O'' gutes Kit-Objektiv, welches bei 24 mm (umgerechnet auf KB-Format) eine Blende von 3.5 aufweist. Nicht schlechter als das Zeiss an der RX 100 III, obwohl hier mit Blende 1.8. Vermutlich bei der Alpha 7 ähnlich gut.<br>
''O'' Alle haben eine Bildstabilisierung im (Kit-) Objektiv, so dass auch bei schlechtem Licht aus der Hand fotografiert werden kann. Dabei ist die Stabilisierung im Objektiv untergebracht. Neuere Modelle wie die 6500 und 7 II haben eine integrierte Bildstabilisierung. Sind aber deutlich teurer und auch schwerer.<br>
''O'' Alle haben ein stabiles Magnesiumgehäuse.

!!Nachteile der Sony A6300 gegenüber Sony RX 100 III und der Sony A7

''-'' Deutlich größer als meine kompakte. Mit dem Sigma 16mm ganz schön schwer. Kein Vergleich zum Vollformat, aber meine kompakte Sony ist dagegen federleicht.<br>
''-'' Gegenüber dem Vollformat deutlich kleinerer Chip. Ein Vollformatchip bietet die 2.25 fache Fläche aber bei gleicher Pixelanzahl. 

Dann warte ich bis es das erste mal auf Beobachtung geht. Und es wird im zweiten Teil wieder einen Vergleich zur Sony RX 100 III geben. Diesmal aber mit Sternaufnahmen. Aus heutiger Sicht macht es keinen Sinn eine kompakte Sony zu kaufen, es sei denn Kompaktheit ist das entscheidende Kriterium. Damals waren System- oder Vollformatkameras unerschwinglich. Heute sind es die älteren Modelle nicht mehr.

Ich ziehe vor der Sony RX100 meinen Hut. Unglaublich was sie leistet bzw. geleistet hat. 👏 Und vor mir selbst. Das ich mich endlich entschieden habe. Wie kompliziert die Sache doch ist!

<div class="tc-link-info-item-flex" style="float:right;  margin-left:15px; margin-bottom:5px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41042723704/in/datetaken/"><img src="https://farm1.staticflickr.com/952/41042723704_9078b9fed9_b.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Lichtverschmutzungskarte für Mittel- und Südeuropa. Screenshot www.lightpollutionmap.info</div>

Es ist manchmal gar nicht so leicht einen guten Platz zu finden. Deshalb nutzen viele von uns Lichtverschmutzungskarten, die zeigen, wo es dunkel ist und wo nicht. So habe auch ich meine Beobachtungsplätze gefunden. Zuhause kennt man sich gewöhnlich aus, hat seinen Stammplatz und muss Kompromisse machen. Wenn man aber im Urlaub ist oder wie ich auf Exkursion gehen möchte, hat man die Auswahl.

Früher gab es verschiedene Karten zum herunterladen. Heute nutze ich die Seite z.B. ''[[www.lightpollutionmap.info|https://www.lightpollutionmap.info/]]''. Dort kann man auch für jeden Ort durch einfaches Anklicken die (rechnerische) Himmelshelligkeit im Zenit anzeigen lassen. Dies deckt sich erstaunlich gut mit meinen eigenen Messungen mithilfe eines SQM-L. Lediglich die systematische Tendenz zu höheren Werten in dunklen Gegenden fällt auf. Die Einstufung der Bortle-Klasse hingegen stimmt sehr gut.

In Deutschland fällt Norddeutschland mit dunklen Gegenden auf. Dann auch die Alpen. Osteuropa mal außen vor gelassen sieht Südfrankreich gut aus. Und Spanien. Man sollte jedoch auf die hellen Städte achten. Diese verursachen enorme Lichtglocken. So ist Madrid von der spanischen Grenze in den Pyrenäen fotografisch noch nachweisbar. Um solchen „Lichtmonstern“ wirksam zu entkommen sind 100 besser mindestens 150 km Luftlinie Entfernung von Nöten. Dadurch schrumpfen die angezeigten „dunklen“ Stellen weiter, insbesondere dann, wenn weitere große Städte im Umfeld liegen. 

<div class="tc-link-info-item-flex-50" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41042723634/in/datetaken/" title="Untitled"><img src="https://farm1.staticflickr.com/904/41042723634_dcaf9cf792_b.jpg" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Entfernungen können über eine Messfunktion gut bestimmt werden. Screenshot www.lightpollutionmap.info</div>

!!Hoch hinaus 

Darüber hinaus ist es wichtig, dass der Beobachtungsplatz möglichst hoch liegt. Dadurch ist die Transparenz deutlich besser und das Seeing im übrigen auch. Zwar schafft die zusätzliche Kimmhöhe das Problem, dass man weit entfernte Städte wiederum besser erkennt, da man unter den mathematischen Horizont schauen kann. Andersherum werden die Lichtglocken auch kleiner, sofern die Lichtquellen tiefer liegen. Das lässt die Auswahl potentieller Beobachtungsorte weiter schrumpfen. Damit fällt dann Norddeutschland raus und es bleiben damit eigentlich nur die Alpen übrig.

!!Beispiel Alto Tajo

In Zentralspanien fallen die dunklen Gebiete südwestlich und südöstlich auf. Südöstlich liegt u.a. die Sierra de Segura, ein Karstgebirge mit Höhenzügen über 2200m. Beobachtungsplätze liegen auf ca. 1700m üNN. 

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26892872507/in/datetaken-public/" title="Untitled"><img src="https://farm1.staticflickr.com/911/26892872507_94d0fd9769_c.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Anzeige der Himmelhelligkeit (Zenit) und weitere Daten zu einem selektierten Ort. Screenshot www.www.lightpollutionmap.info</div>

Südwestlich hingegen liegt nur eine Hochebene mit geringen Höhen um 800m üNN. Damit scheidet die Region aus. Östlich hingegen liegt das Iberische Gebirge mit Höhenzügen, die als Alto Tajo bekannt sind. Die Region ist als Bortle 2 und mit Zenitwerten von 21.93 auf der Seite ausgewiesen. Doch muss man beachten, dass Madrid etwa 150 km westlich, Saragossa 100 km nördlich und Valencia 200 km südöstlich liegen. Südlich liegen zudem Cuenca und Teruel, zwei kleinere Städte. Man ist hier quasi „umzingelt“. Die Höhenzüge des Alto Tajo liegen bei über 1800 m üNN und zieht man realistische Höhen in Betracht, wo der Wind einen nicht gleicht vom Kamm fegt, so bleiben etwa 1700m üNN übrig. Trotz der Entfernung der drei Städte sind Lichtglocken einzuplanen. In einer Reportage [[im spanischen Fernsehen|http://rtve.es/v/4591523]] wurde der Javalambre als Astro-Destination empfohlen. Javalambre ist ein Bergzug etwa 40km südwestlich vom Alto Tajo und beherbergt sogar ein [[Observatorium|http://oajweb.cefca.es]] auf knapp 2000m üNN. Das Seeing soll gemäß der spanischen Reportage das zweit beste weltweit nach Hawaii sein. 🙄 Habe allerdings ein All-Sky-Foto im Netz vor geraumer Zeit gefunden, dass zeigt, dass Valencia aufgrund der Nähe doch schon eine erhebliche Lichtglocke zeigt. Aber vielleicht ist das Seeing am Alto Tajo ähnlich gut.

Die Region des Alto Tajo ist etwa 150 km vom Zentrum Madrid entfernt und etwa 100 km von den hellen Vorstädten. Der Alto Tajo ist etwa in drei Stunden von Madrid aus zu erreichen, meinen jedenfalls die Navi-Apps. Zu beachten ist auch, dass das Wetter hier unbeständiger als im Süden Spaniens ist, da sich die Region grundsätzlich noch im Einzugsgebiet der Atlantischen Tiefausläufer befindet. Die vorherrschende Windrichtung ist West. Ich hatte schon mehrfach vor, die Region zu erkunden und auch dort zu beobachten. Ein paar Mal [[schreckte ich zurück|Spanien - Im Süden nichts Neues]], aber dieses Jahr im Sommer soll es was werden. Mal sehen.

Auf der Seite lightpollutionmap.info können auch dauerhaft SQM bzw. SQM-L Werte abgelegt werden. Dies haben einige Nutzer bereits getan und so kann man für ausgewählte Orte (die an einem Kreis zu erkennen sind), die Werte abrufen und auch selbst welche hinterlegen. Dazu muss man sich auch nicht registrieren. Für meinen Zielort sind noch keine Werte hinterlegt. Auf der Seite können unterschiedliche Lichtverschmutzungskarten für verschiedene Jahre abgerufen werden. Am besten gefällt mir die Default-Karte von 2015, die auch in den Screenshots zu sehen ist.

<div class="tc-link-info-item" style="float:left;  margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26892709417/in/datetaken-public/" title="Untitled"><img src="https://farm1.staticflickr.com/956/26892709417_627b94f187_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Screenshot aus Google Maps bzw. Street View.</div>

!!Auskundschaften über das Internet

So nun hat man den Zielort gefunden. Mit Google Maps kann man dann die Umgebung und Zufahrtswege erkunden. Wie sind die Straßen? Kann man über Feld-/Waldwege bis auf den Berg hochfahren? Wenn nicht wo gibt es Alternativplätze. Wo ist man ungestört? Schließlich will man nicht dauernd durch Autos und Verkehr gestört werden. 

Der per Internet gefundene Beobachtungsplatz. Sieht gut aus.

Leider sind in Google Maps Feld- und Waldwege als Street View kaum enthalten. Aber manchmal eben schon. Und in Spanien sind die Zufahrtswege nicht abgesperrt und es ist auch nicht verboten sie zu nutzen, solange man sich an die Regeln hält (z.B. im Sommer kein Feuer macht oder grillt). Aber das versteht sich von selbst.

Ich hoffe an dem neuen Platz zu beobachten. Ob dies tatsächlich passiert und wie gut er ist, wird dann wieder hier nachzulesen sein.

Wir haben mittlerweile Januar und in der Rhön liegt immer noch kein Schnee. Selbst die Pisten können aufgrund der hohen Temperaturen nicht beschneit werden. Doch dann kommt ein Mega kräftiges Hochdruckgebiet und die Temperaturen stürzen ab. Bis zu -12 °C bei kräftigem Ostwind werden vorhergesagt. Ich überlege tatsächlich kurz, ob ich bei dieser Kälte tatsächlich aufbrechen sollte. Ich tue es, denn wer weiß, wann es die nächste klare Nacht hier geben wird.

Ich habe mich inklusive Home-Office wieder in Birx einquartiert. Bin tatsächlich auch nicht sicher, wie man bei -12 °C überhaupt zeichnen wird können, das gilt nicht nur für das iPad, sondern auch grundsätzlich. Aber vielleicht ist es gar nicht mal so schlecht, einfach wieder mal in Ruhe zu „spechteln“ ohne irgendwelche „Verpflichtungen“.

!Vintage Lens - Carl Zeiss Jena Pancolar 50 mm f1.8 mit 8 Blendenlamellen

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/CeZ6xP3929" title="DSC03733"><img src="https://live.staticflickr.com/65535/53452018807_c4ce3ac318_k.jpg" alt="DSC03733"/></a>

Mit im Gepäck habe ich heute ein neues „Schätzchen“: ein Carl Zeiss Jena Pancolar 50 mm f1.8 in der Thorium Version, radioaktiv ☢️. Es wurde wohl in den sechziger Jahren des letzten Jahrhunderts hergestellt und ist nur einfach vergütet. Bin gespannt, wie es bei Tageslichtaufnahmen performt. Habe bereits ein Ashahi (später umfirmiert in Pentax) Takumar 50mm f1.4 SMC aus der selben Zeit und stelle fest, dass das Pancolar schärfer und farbreiner ist! Davon abgesehen ist auch ein unheimlicher Kontrast zwischen La Palma von vor vier Wochen und der Rhön jetzt, zwischen Farbe und schönem Grau im Sinne von wenig Farben und wenig Kontrast. Das Pancolar fängt diese Stimmung meisterhaft ein.

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 08.-09.01.|8. Januar 2024 - Schwarzes Moor]]|''21" Dobson, Beobachtungsdauer ca. 2.5 h, Ort: [[Schwarzes Moor|Rhön]], klar & windig 🌬️''<br>Nix besonderes beobachtet|
|[[2. Nacht / 09.-10.01.|9. Januar 2024 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 5 h, Ort: [[Lange Rhön|Rhön]], SQM-L 21.1, SQM 20.83, -8° C, ca. 40% rel. Luftfeuchte''<br>[[IC 2087]], [[Van den Bergh 1]]|
|[[3. Nacht / 10.-11.01.|10. Januar 2024 - Lange Rhön]]|''21" Dobson, Beobachtungsdauer ca. 6 h, Ort: [[Lange Rhön|Rhön]], SQM-L 21.2, klar, -10° C, ca. 60-87% rel. Luftfeuchte''<br>[[Van den Bergh 31]], [[Van den Bergh 8]]|
|!3 Nächte|!sinnvolle Gesamtbeobachtungszeit 12 h, 4 Objekte gezeichnet|

!Wetterbedingungen

Sehr kalte Nächte und am Anfang auch recht windig. Dafür trocken, später aber doch wieder feucht. Typisch Rhön, halt! Seeing bei Wind sehr schlecht, in der letzten Nacht ohne Wind allerdings gut.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/RMb65C02E6" title="Untitled"><img src="https://live.staticflickr.com/65535/53458037739_50dd9f0c2c_k.jpg" alt="Untitled"/></a>

Ich bin wieder gut in Birx untergekommen, einem schönen verschlafenen Nest, wo man richtig gut entspannen kann. Auf der Rückreise muss ich dann doch feststellen, dass sich eine Nebellage bis knapp unter der Wasserkuppe herausgebildet hat. Spontan halte ich mit dem Auto an und versuche ein paar Kilometer weiter die schöne Stimmung einzufangen: eine Landschaft, die komplett in Raureif getaucht ist und in leichten Nebel, wo Farben praktisch kaum auszumachen sind.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/c74vkG2UQa" title="Untitled"><img src="https://live.staticflickr.com/65535/53457518078_b8816c6497_k.jpg"/></a>

!![[Pinar de Araceli (PDA)]]

__Bedingungen:__ Klar, Einzelaufnahme gegen Mitternacht. Aufnahme mit Meike 2/6.5mm 190° Fisheye abgeblendet auf f8. Belichtungszeit 548 sec bei 1600 ASA mit astromodifizierter Sony A6000. Nachgeführt mit MSM Startracker.

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/963N0yEx07" title="Untitled"><img src="https://live.staticflickr.com/65535/52587286626_821247dfd3_k.jpg"></a>

Objekt: WLM - Wolf–Lundmark–Melotte & WLM 1 sowie PGC 910901, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 56-168 fach, Filter: -, Bedingungen: Bortle 1-2, Ort: PDA, Zeitpunkt: 17.-19.08.2015 Uhr

<a data-flickr-embed="true" data-header="true" data-footer="true" data-context="true"  href="https://www.flickr.com/photos/106029581@N02/21167970686/in/datetaken/" title="WLM 2"><img src="https://farm6.staticflickr.com/5708/21167970686_3c181d6b1c_b.jpg" alt="WLM 2"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|href="https://www.flickr.com/photos/106029581@N02/21183881742/in/datetaken/]]

Das Video zeigt eine Zeitrafferaufnahmen zur Wolkenbildung am Roque. 

<iframe src="https://player.vimeo.com/video/162587687" width="640" height="360" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<p><a href="https://vimeo.com/162587687">Wolkenbildung am Roque</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

Objekt: WR 134, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 65 fach, Filter: [OIII], Bedingungen: Bortle 3, Ort: Wasserkuppe, Zeitpunkt: 12.10.2015

<a data-flickr-embed="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/21652012914/in/datetaken/" title="WR134_3"><img src="https://farm1.staticflickr.com/571/21652012914_a911951016_b.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/22087004568/in/datetaken/]]

Objekt: Wray 17-1 = Longmore 3 = PNG 258.0-15.7, ''24" f/4.3 Bino-Dobson'', Vergrößerung: 278x, Filter:- Bedingungen: SQM-L 22.0, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[03.06.2019|03. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true" href="https://www.flickr.com/gp/106029581@N02/Wf551c" title="Longmore 3"><img src="https://live.staticflickr.com/65535/51198277996_ed752f3edb_c.jpg" alt="Longmore 3"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/51195319698/in/photostream/]]

Objekt: Yale Columbia 2-5, Teleskop: 14" f/4.6 Newton, 
Vergrößerung: 430x, Filter: -, Bedingungen: SQM-L 21.76, Ort: Llanos de las Animas, Zeitpunkt: [[13.01.2018|13. Januar 2018 - La Palma]], Seeing 4

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/26891543337/in/datetaken-public/" title="Y-C 5-2"><img src="https://farm1.staticflickr.com/980/26891543337_6703e8f50f_c.jpg" alt="Y-C 5-2"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/26891543357/in/datetaken-public/]]

Ab März 2015 habe ich zu zeichnen begonnen. 

Ich zeichne mit Bleistift auf reinweißem Papier. Sofern nicht anders angegeben, ist Norden oben. 

!''Galaktische Nebel''

{{Galaktische Nebel}}

!''Planetarische Nebel''

{{Planetarische Nebel}}

!''Galaxien''

{{Galaxien}}

!''Galaxiengruppen und -haufen''

{{Galaxiengruppen und -haufen}}

!''Arp Galaxien''

{{Arp Galaxien}}

!''Hickson Galaxiengruppen''

{{Hickson Compact Group - HCG}}

!''Abell Galaxienhaufen''

{{Abell Galaxienhaufen}}

!''Kugelsternhaufen''

{{Kugelsternhaufen}}

!''Offene Sternhaufen''

{{Offene Sternhaufen}}

!''Kometen''

{{Kometen}}

!''Planeten''

{{Planeten}}

Hier ist die Gesamtübersicht aller Zeichnungen, die ich im Juni 2023 mit meinem 14 Zoll Dobson gezeichnet habe:

<div class="tc-link-info">

<$list filter="[tag[Zeichnung]] +[tag[Zeichnungen - Juni 2023]]">

<div class="tc-link-info-item">

!<$link><$view field="title"/></$link>

<div class="tc-subtitle">Posted <$view field="created" format="relativedate"/></div>

<$transclude/>

</div>

</$list>

</div>

Hier ist die Gesamtübersicht aller Zeichnungen, die ich gezeichnet habe:

<div class="tc-link-info">

<$list filter="[tag[Zeichnungen - Weihnachten 2022]] +[!sort[created]limit[8]]">

<div class="tc-link-info-item">

!<$link><$view field="title"/></$link>

<$transclude/>

</div>

</$list>

</div>

Das Video zeigt wie das Morgenzodikallicht erscheint.

<iframe src="https://player.vimeo.com/video/220224548" width="337" height="600" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<p><a href="https://vimeo.com/220224548">False Dawn or Zodiacal Light</a> from <a href="https://vimeo.com/user40999239">Olivito Astro</a> on <a href="https://vimeo.com">Vimeo</a>.</p>

<div class="tc-link-info-item" style="float:right;  margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/17427262221/in/datetaken/" title="Untitled"><img src="https://c6.staticflickr.com/8/7784/17427262221_0b76c663e5_c.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>Das Abendzodiakallicht über dem Westhorizont auf La Palma.
</div>

Das Zodiakallicht ist eine der hellsten Erscheinungen am Nachthimmel überhaupt. Um es zu erkennen, benötigt man kein Instrument. Nur die eigenen Augen. Es ist auch so hell, dass es unter einem dunklen Himmel selbst von Laien ohne Probleme erkannt wird. Um es zu beobachten, ist es wichtig zu verstehen, wann es am besten beobachtet werden kann. Man spricht auch vom Morgen- bzw. Abendzodiakallicht, da es nur am Abend bzw. Morgen sichtbar ist, d.h. nach Sonnenuntergang bzw. vor Sonnenaufgang. Darüber hinaus ist es jahreszeitenabhängig besser und schlechter zu erkennen. Am Besten ist es im Winter bis zum Frühjahr hinein am Abend zu sehen. 

Das Zodiakallicht, die Lichtbrücke und der [[Gegenschein|Gegenschein beobachten]] haben zusammen die gleiche Ursache: an Staub gestreutem Sonnenlicht auf der scheinbaren Bahn der Sonne am Nachthimmel. Daher auch der Name "Tierkreisleuchten" bzw. Zodiakallicht.

!!Die Beobachtung

Im Herbst nach Sonnenuntergang und Einbruch der astronomischen Dämmerung in Richtung Westen schauen und dort die entsprechenden Tierkreissternbilder betrachten. Dann sieht man ein helles, pyramidenartiges und leicht geneigtes Licht. Sofern ein (äußerer) Planet am Himmel steht, kann man versuchen das Licht bis zu ihm hin zu verfolgen. Am Morgen gestaltet sich die Sichtung häufig sogar noch einfacher.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/24578297796/in/datetaken/" title="Morning Zodiacal Light"><img src="https://c5.staticflickr.com/2/1663/24578297796_cd3ff0be1f_c.jpg" alt="Morning Zodiacal Light"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Der Roque de los Muchachos auf La Palma beherbergt den wichtigsten astronomischen Teleskoppark der nördlichen Hemisphäre nach dem Mauna Kea auf Hawaii. Die Anlagen werden auf dem Gelände des Instituto Astrofisico de Canarias (IAC) betrieben, das auch dafür bekannt ist, Hobbyastronomen nachts auf seinem Gelände nicht zu dulden. 

In den letzten Jahren wurde zudem außerhalb des Observatoriumsgeländes das Centro de Visitantes (Besucherzentrum) gebaut. Anschließend stand es längere Zeit leer und fiel schließlich auch der Coronasituation zum Opfer. Doch mittlerweile planen die Verantwortlichen die finale Eröffnung, die einiges an Änderungen auf dem Berg bereithält. 

<a data-flickr-embed="true" href="https://www.flickr.com/photos/106029581@N02/47035655034/in/album-72157713129266403/" title="Roque Nights"><img src="https://live.staticflickr.com/65535/47035655034_8db84bceb7_k.jpg" alt="Roque Nights"></a>

Das Foto oben zeigt den Roque de los Muchachos aufgenommen außerhalb des Teleskopgeländes an der LP4.

!Ein Shuttle wird kommen…

Zunächst soll ein Shuttleservice mit Bussen eingerichtet werden, der gegen Gebühr Touristen auf den höchsten Punkt des Roque bringt. So zumindest einige Gerüchte. Zuzutrauen wäre es den Verantwortlichen zumindest, denn so ließe sich der höchste Aussichtspunkt der Insel tatsächlich in bares Geld verwandeln. Dieser befindet sich innerhalb des Observatoriumsgeländes und ist nachts grundsätzlich – insbesondere mit dem Auto – nicht zugänglich. Mit dieser Änderung ist es praktisch für Touristen nicht mehr möglich kostenlos auf den Gipfel zu kommen, wenn man von entsprechenden Wanderungen mal absieht. Vermutlich werden die Einheimischen, insbesondere auch die Bewohner der Gemeinde Garafia, weiterhin kostenlos dorthin gelangen. Eintritte im Besucherzentrum sind für Sie auf jeden Fall kostenfrei. Ob dies tatsächlich so kommt, ist wie gesagt, nicht gesichert. Möglicherweise ist dies auch ein Missverständnis zu einer vorläufigen Vereinbarung von Anfang 2020 [4], wo allerdings ein Shuttlebetrieb zwischen der Gemeinde Garafia und dem Besucherzentrum angestrebt wird.

Durch einen Shuttlebus vom Besucherzentrum hoch zum Gipfel ergeben sich aus Sicht des IAC mit Sicherheit einige Vorteile, nämlich zum einen, dass das befahren des Geländes insbesondere während der Dämmerung durch Touristen praktisch ausgeschlossen ist. Dies wird vermutlich durch die bereits installierten Schranken gewährleistet werden, die sich nur dann vermutlich nur mit entsprechenden Fernbedienungen von autorisierten Personal (z.b. Busfahrer) geöffnet werden können. 

<<<.tc-big-quote

!Vandalismus auf dem Roque?

{{Vandalismus auf dem Roque?}}

<<<

Die jetzt veröffentlichte Vereinbarung zwischen der Gemeinde Garafia und dem IAC geht allerdings deutlich weiter:

*Nächtliche Aktivitäten außerhalb des Observatoriumsgeländes, welche die wissenschaftliche Arbeit beeinträchtigen können, werden untersagt. Dazu gehören insbesondere Aktivitäten mit Lampen oder Lasern.
*Sofern nächtliche Führungen stattfinden, müssen diese auf dem Gelände des Besucherzentrums an einem konkreten Punkt stattfinden. Dabei müssen die Verantwortlichen darauf achten, dass Lampen etc. den Nachthimmel nicht beeinträchtigen.
*Das Besucherzentrum kann grundsätzlich von der Gemeinde - insbesondere auch die Außenbereiche z.B. für Aktivitäten (Feiern?) ect. - genutzt werden.
*Das IAC hat auf dem Berg ab 1500 m Höhe eine Art Weisungsrecht und kann nächtliche Aktivitäten grundsätzlich verbieten, selbst wenn sie außerhalb des Observatoriumsgelände stattfinden.

Die vollständige Vereinbarung kann hier auf Spanisch eingesehen werden: https://eltime.es/files/BOE-A-2021-5768_CONVENIO_CENTRO_DE_VISITANTES_ROQUE.pdf

Insbesondere der letzte Punkt hat es in sich. Er wurde auch in einem [[lokalen Zeitungsartikel in El Time (spanisch)|https://eltime.es/isla-bonita/137-el-cielo-de-la-palma/33195-el-iac-blinda-las-noches-del-roque-ante-posibles-actividades-nocivas.html]] thematisiert. Offenbar wollen die Verantwortlichen des IAC sich für den Ansturm von „unbedarften“ Astrotouristen wappnen. Die Betreibergemeinde hingegen möchte endlich am Touristenboom der Insel teilhaben und setzt hohe Erwartungen in den Astrotourismus. Das die Befürchtungen seitens der Profis des IACs nicht ganz unberechtigt sind, zeigt ein Vorfall vor einigen Jahren am neugebauten, aber zu dem Zeitpunkt noch nicht eröffneten Besucherzentrum.

<div class="tc-link-info-item-large" style="float:right; margin-left:15px; margin-bottom:15px;">

<<<.tc-big-quote

!! Früher war alles besser oder doch nicht?

Ich habe La Palma das erste Mal im Januar 2004 entdeckt. Zuvor war ich im November 2003 auf Teneriffa und von der vorhandenen  Lichtverschmutzung enttäuscht. Seit 2004 bin ich fast jährlich ein bis zwei mal auf der Insel gewesen und habe Astrofotografie betrieben und später visuell beobachtet. Bereits zu dieser Zeit war es verboten nachts auf dem Observatoriumsgelände zu beobachten. Es gab schon den beschränkten Zugang über die Straße, der nachts geschlossen wurde. Es war jedoch möglich nach einer Anfrage beim IAC vom Observatoriumsgelände aus zu beobachten, jedoch nur von ausgewiesenen Plätzen aus, in der Regel waren das die Heliports. Ich hatte ein paarmal solche Permits und traf in diesem Zuge auch andere, z.B. den bekannten Astrofotografen Eckart Slavik. Ich musste für den Permit eine Art Vetrag unterzeichnen, wo ich mich verpflichtete

*auf dem mir zugewiesenen Platz zu bleiben und ihn nicht zu verlassen
*kein Licht oder Ähnliches machen
*im Fall dass dies erforderlich sein sollte auf Weisung bestimmte Objekte für das IAC zu beobachten
* Kopien meiner Aufnahmen dem IAC zur Verfügung zu stellen.

Grundsätzlich haben die dort arbeitenden Astronomen die Möglichkeit Gäste einzuladen. Dann sind sie für die Gäste und deren Betreuung zuständig. So konnte ich auch 2006 einige Nächte direkt neben dem WHT beobachten. 

Es gab zu diesem Zeitpunkt auch noch manchmal die Möglichkeit mit den Wachleuten zu reden, um sich Zugang zu verschaffen. Häufig war zu diesem Zeitpunkt auch die Schranke am Eingang nachts nicht verschlossen. Dennoch waren dies unsägliche Diskussionen und meine guten Spanischkenntnisse von Nachteil, denn auf eine lange Diskussion auf Englisch hatten sie keine große Lust. Das hat sich aber geändert.

!!Geschichten erzählen…

Bereits Anfang der 2000 Jahre hatten die Wachleute Anekdoten parat: Touristen, die sich nachts den Teleskopen näherten und Aufnahmen zusammen mit dem Sternenhimmel machen wollten. Dabei handelte es sich um photographische Laien, bei denen unwissentlich der Blitz der Kamera 📸 auslöste und dann auch theoretisch in den Strahlengang des Teleskops leuchten konnte. Ein Bekannter Profi vom IAC versicherte mir damals allerdings, dass dies keinen Einfluss auf die Beobachtungen habe. Deshalb rätsele ich schon seit 15 Jahren, was die Verantwortlichen vom IAC eigentlich wollen. 

Die Wachleute berichteten auch, dass es zu Autounfällen auf dem Gelände gekommen sei und deshalb die obligatorische Verwendung des Standlichts am Auto 🚘 (bis heute) ausgesetzt worden ist. Außerhalb des Observatoriumsgeländes gab es keinerlei Restriktionen.

<<<

</div>

Damals hatte in einem Akt des Vandalismus offenbar jemand einen Einbruch verübt und dabei das Licht der Außenanlagen eingeschaltet, die über mehrere Tage und Nächte dann brannten. Ich habe den alten Artikel mal hier in dem Kasten noch mal eingeblendet.

!Und jetzt?

Ich denke, dass die Profis vom IAC davon ausgehen, dass die nächtlichen Aktivitäten rund um den Roque aufgrund des Besucherzentrums deutlich zunehmen werden. Insbesondere befürchten sie wohl, das Sternenführungen mit und ohne Guides negative Auswirkung auf die Beobachtungen haben können. Dies ist insbesondere gegeben wenn Laser und moderne LED-Taschenlampen eingesetzt werden. Die Teleskope der Profis selbst sind natürlich interessante Beobachtungsobjekte in der Nacht und könnten Ziel von Lampen sein, wenn Astrotouristen „mal kurz gucken wollen“ wohin das Teleskop gerade „schaut“ und „was es so macht“. Ich denke, die Befürchtungen sind nicht von der Hand zu weisen. Bei meinem letzten Aufenthalt 2020 war dies schon zu beobachten. Ein solches Zentrum zieht einfach die Menschen und Astronomieinteressierte an, auch nachts.

Nun ist erst mal nicht davon auszugehen, dass man nachts direkt verscheucht wird. Vermutlich ist es erst mal der Versuch den Rechtsrahmen im Vorfeld festzulegen und aus Sicht des IAC Handlungsbereitschaft zu signalisieren. Sollten dann die entsprechenden Besuchermassen vom Betreiber nicht entsprechend „gelenkt“ werden, wird das IAC vermutlich auch einschreiten. 

!Betreibermodell

In der Regel läuft es in Spanien so, dass solche Infrastrukturen wie das Besucherzentrum von der öffentlichen Hand errichtet werden. Anschließend werden sie an einen Betreiber vermietet, der wiederum eine Firma in öffentlicher Hand sein kann. Dieser muss natürlich wirtschaftliche Interessen waren und möglichst viele Besucher anlocken. Und dazu könnten natürlich auch spezielle Veranstaltungen wie Partys/Aktivitäten oder Ähnliches gehören. Dem möchte man natürlich seitens des IAC einen Riegel vorschieben. Verrückte Veranstaltung gibt es mittlerweile ja auf La Palma zu Hauf: z.B. extreme Bergläufe, die auch nachts stattfinden. 

!Ambitionierte visuelle Beobachter haben es schwer…

Das man als ambitionierter Beobachter am Besucherzentrum zukünftig beobachten kann, darf man getrost vergessen. Man wird dort auf Besucher und Gruppen stoßen, die möglicherweise andere Interessen haben. Zum einen werden dies Fotografen sein, zum anderen vermutlich Laien. Das ist wirklich schade, denn als Beobachter ist eine gute Infrastruktur nicht zu verachten, wie zum Beispiel ebener und asphaltierter Boden…
Der Autoverkehr rund um dem Roque wird in diesem Zuge auch deutlich zunehmen. Ein Ausbau der Straße wird ebenfalls geplant.

Man wird auf einsame Plätze entlang der Straße ausweichen müssen. Bereits 2020 war es schwer die Plätze vor Neugierigen zu verbergen. Häufig sehen die Leute mich und erwarten dann eine Sternenführung am Teleskop 🔭.

!Die Zukunft des Roque ist schon verplant

Verschiedene Installationen neuer Teleskope sind geplant [2]. Zunächst einmal geht es um einen Cherenkov-Teleskoppark. Dieser soll noch in diesem Jahrzehnt in Betrieb genommen werden. Weiterhin bemüht sich die Inselregierung das TMT von Hawaii nach La Palma zu holen. Darüber hinaus ist ein Sonnenteleskop geplant. Es zeichnet sich ab, dass bereits in 20 Jahren, wenn alle diese Projekte fertig gestellt sind, die Flächen auf dem Berg komplett verbaut sein werden. Dann wird sich das Observatoriumsgelände über den gesamten Roque erstrecken. Der Zugang wird wohl weitesgehend reglementiert und reguliert sein. Wie auch im Moment wird er dann nachts gesperrt sein. Sicher wird sich das Besucherzentrum auch mitten auf dem Observatoriumsgelände befinden und so entsprechend vom IAC auch direkt kontrolliert werden können. Letztlich werden die besten Beobachtungsplätze von der Wissenschaft vereinnahmt werden. Für Hobbyastronomen und visuelle Beobachter ist dann vermutlich kein Platz mehr.

Hier geht es zu einer Einschätzung von Jan Hattenbach, die ähnlich wie meine ausfällt: https://himmelslichter.net/profiastronomen-moechten-la-palmas-hoechsten-berg-fuer-sich-alleine-haben/

!Update vom 08. Mai 2021 - Es regt sich Widerstand

Seitens der Fotografen regt sich mittlerweile Widerstand. Die Gruppe @Foto La Palma verlangt ein Treffen mit den Verantwortlichen der Inselregierung und dem IAC. Sie stellt zudem die Frage, wie die 1500 m Grenze praktisch umgesetzt wird. Sie vermutet, dass die Straße hoch zum Roque, die LP4, möglicherweise nachts durch eine Schranke gesperrt wird. Man darf gespannt sein, wie es weiter geht. Ich vermute in diesem Zuge wird es auch eine Diskussion über „Lichtverschmutzung“ geben, die vor allem von Astrofotografen verursachtet wird, wenn die Location nachts erreicht werden muss und dazu LED-Lampen eingesetzt werden und vor allem, wenn aktuelle Motive entstehen, z.B. [[Person guckt mit Taschenlampe 🔦  in den Himmel |https://www.taxiisladelapalma.com/de/projects/roque-de-los-muchachos/]]. 

Man darf gespannt sein, wie es weiter geht.

[1] El IAC 'blinda' las noches del Roque ante posibles "actividades nocivas", El Time.es, https://eltime.es/isla-bonita/137-el-cielo-de-la-palma/33195-el-iac-blinda-las-noches-del-roque-ante-posibles-actividades-nocivas.html

[2] „Cherenkov, EST, ~ExoLife, ¿TMT?... y el Observatorio colmará todo su espacio“, El Time.es, https://eltime.es/isla-bonita/137-el-cielo-de-la-palma/32969-cherenkov-6-est-exolife-tmt-y-el-observatorio-colmara-todo-su-espacio.html

[3] Convenio Centro de Visitantes (Aktuelle verabschiedete Version), https://eltime.es/files/BOE-A-2021-5768_CONVENIO_CENTRO_DE_VISITANTES_ROQUE.pdf

[4] Convenio Centro de Visitantes (Version vom 22.01.2020), https://eltime.es/files/CONVENIO_OBSERVACIONES_DEL_AYUNTAMIENTO_DE_LA_VILLA_DE_GARAFIA.pdf

Objekt: Mond, Kamera: astromodifizierte Sony A6000 (APS-C), Objektiv: 25 Zoll f4 Dobson, Filter:-, Blende: f4, Belichtungszeit: 50x1/500sec, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[07.06.2019|07. Juni 2019 - Tivoli Astrofarm]]

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/48774585748/in/dateposted/" title="Mondmosaik vom zunehmenden Mond aufgenommen im Juni 2019 in Namibia"><img src="https://live.staticflickr.com/65535/48774585748_24afa2f237_k.jpg" alt="Mondmosaik vom zunehmenden Mond aufgenommen im Juni 2019 in Namibia">

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/37688577376/in/datetaken-public/" title="Ohne Titel"><img src="https://farm5.staticflickr.com/4481/37688577376_2a1a716175_h.jpg" alt="Ohne Titel"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Unverhofft kommt doch noch der goldene Herbst. Mitte Oktober ist es, als sich ein gewaltiges Hoch über Mitteleuropa aufbaut. Zunächst ist unklar, ob Nebel oder gar Hochnebel überhaupt klare Nächte zulassen würden. Aber dann sollen mindestens zwei Nächte gehen. Freitags ist es noch neblig auf der Wasserkuppe, aber Samstag dann klar. 

Treffe mich dort mit Mathias, der mit einem 18 Zöller vorbeischaut.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 14.-15.10.|14. Oktober 2017 - Wasserkuppe]]|''14" Dobson, 6 h, Ort: Wasserkuppe, SQM-L 21.3, +10 Grad Celsius, 5 Objekte''<br>NGC 7009 - Saturnnebel, NGC 6210, __[[IC 1365]]__, __[[HCG 8]]__, __[[Minkowski 2-51]]__|
|[[2. Nacht / 15.-16.10.|15. Oktober 2017 - Wasserkuppe]]|''14" Dobson, 7 h, Ort: Wasserkuppe , SQM-L 21.23, +12 Grad Celsius, 5 Objekte''<br>__[[NGC 6894]]__, __[[Kronberger 54]]__, __[[Gyulbudaghian 98-171]]__, __[[Minkowski 1-79]]__, __[[Minkowski 2-2]]__|
|!2 Nächte|!Gesamtbeobachtungszeit 13 h, 10 Objekte beobachtet, davon 8 gezeichnet|

Ein Zeitraffervideo der zweiten Beobachtungsnacht.

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Nach zwei Nächten erschöpft sich die Transparenz. Hohe Wolken, Hochnebel regiert. Unmerklich, aber doch am aufgehellten Sternhimmel erkennnbar. Mathias hält noch eine oder zwei Nächte durch.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/41979904371/in/datetaken-public/" title="Untitled"><img src="https://farm1.staticflickr.com/967/41979904371_9bb2161d55_h.jpg"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Im Mai 2018 bringt ein Hoch einen schönen blauen und vor allem transparenten Himmel. Selbst nach einigen Tagen büßt der Himmel kaum an Qualität ein. Zunächst stört noch der Mond. Dann aber sind mindestens drei, und zwei Tage später sogar vier Stunden Beobachtung möglich. 

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 05.-06.05.|5. Mai 2018 - Stumpertenrod]]|''14" Dobson, 3 h, Ort: Stumpertenrod, SQM-L 21.7, +8 Grad Celsius, 2 Objekte''<br>__[[NGC 2964 - Gruppe]]__, __[[M 82]]__|
|[[2. Nacht / 07.-08.05.|7. Mai 2018 - Wasserkuppe]]|''14" Dobson, 4 h, Ort: Wasserkuppe , SQM-L 21.6, +11 Grad Celsius, 2 Objekte''<br>NGC 2964 - Gruppe,  __[[Arp 313]]__, __[[NGC 6058]]__, NGC 6210, NGC 7000, M57, Milchstraße mit bloßem Auge|
|!2 Nächte|!Gesamtbeobachtungszeit 7 h,  4 Objekte gezeichnet|

Die zwei Nächte waren mit SQM-L Werten um 21.6 außergewöhnliche Nächte. Normalerweise hat man zu Beginn der Nacht Werte von 21.2 und am Ende 21.4. Meine Aufzeichnungen zeigen, dass dies eigentlich nur im Frühjahr möglich ist.

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Das war vielleicht die letzte Beobachtung in Deutschland bis zum Herbst. Die Nächte werden ab jetzt noch heller und erst ab September geht es hier weiter. Zuvor habe ich aber noch Exkursionen nach Spanien im Juli, sowie nach Namibia im August geplant.

<a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/32652684148/in/dateposted/" title="Untitled"><img src="https://farm5.staticflickr.com/4842/32652684148_12993cf158_k.jpg"></a>

Schon wieder so ein "Zwischen den Jahren"!??? Am 24.12.2018 geht es los. Flieger nach Madrid. Gegen Mitternacht kommen wir schließlich bei der Verwandschaft an. Gutes Beobachtungswetter ist ab dem 29. Dezember 2019 angekündigt. Wieder steht eine Entscheidung an: Platz im [[Pinar de Araceli|Pinar de Araceli (PDA)]] oder den im Sommer entdeckten [[Alto Tajo]]. Zunächst wird ein kleines Tiefdruckgebiet in Andalusien um den Jahreswechsel vorhergesagt, so dass die Entscheidung einfach ist. Es geht zum Alto Tajo. Diesmal nach Griegos zur Muela de San Juan, einem Tafelberg, auf dem es auch einen asphaltierten Parkplatz gibt. Doch am Ende war die Entscheidung so einfach nicht. In letzter Minute wird für den Alto Tajo Wind um die 30 km/h vorhergesagt. Das ist im Gebirge auf 1900m üNN schon unangenehm. Am Beobachtungsplatz auf der "Muela der San Juan" gibt es aber ein stillgelegtes Lokal mit entsprechenden Gebäuden. Im Notfall dahinter verstecken! 

Die Reservierung für das Zimmer im gleichnamigen Hostal in Griegos ist eh raus. 30 € pro Nacht. Ok. Gebucht ist erstmal für drei Tage. Mal sehen. Wenn's ganz mies läuft dann halt in viereinhalb Stunden in den Pinar fahren. Geht aber erst ab dem 31. Dezember, wenn das Tiefdruckgebiet da unten weg ist.

Es läuft am Ende sehr gut. Praktisch jede Nacht kann ich ausgedehnt beobachten. Zu den Nächten geht’s durch Klicken der entsprechenden Links (Spalte: Nacht / Datum).

<div class="tc-link-info-item-medium" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/photos/106029581@N02/46627295572/" title="Untitled"><img src="https://farm8.staticflickr.com/7814/46627295572_05ae16b2fb_h.jpg"></a> Auskopplung aus dem [[All Sky Panorama|All Sky Panorama - Alto Tajo]]. Unten ist SO und oben NW.</div>

!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Ort, Bedingungen, Objekte|
|[[1. Nacht / 29.-30.12.|29. Dezember 2018 - Muela de San Juan]]|''14" Dobson, 6 h, Ort: Muela de San Juan - Alto Tajo, SQM-L 21.86, -3.5 °C, 2 Objekte''<br>__[[46P/Wirtanen]]__, __[[Arp 123]]__|
|[[2. Nacht / 30.-31.12.|30. Dezember 2018 - Muela de San Juan]]|''14" Dobson, 7 h, Ort: Muela de San Juan - Alto Tajo, SQM-L 21.82, -3.2 °C Celsius, 4 Objekte''<br>__[[NGC 7640]]__, __[[IC 418 - Spirographennebel]]__, __[[Kohoutek 2-1]]__, __[[Simeis 147|Simeis 147 um HD246646]]__|
|[[3. Nacht / 31.-01.01.|31. Dezember 2018 - Muela de San Juan]]|''14" Dobson, 8 h, Ort: Muela de San Juan - Alto Tajo, SQM-L 21.9, -4.4 °C, 4 Objekte''<br>__[[M74]]__, __[[NGC 2282]]__, __[[NGC 2346]]__, __[[M66]]__|
|[[4. Nacht / 01.-02.01.|01. Januar 2019 - Muela de San Juan]]|''14" Dobson, 9 h, Ort: Muela de San Juan - Alto Tajo, SQM-L 21.82, -5 °C, 4 Objekte''<br>__[[NGC 604]]__, __[[NGC 1535 - Kleopatras Auge]]__,  Galaxienhaufen Abell 539, __[[NGC 2392 - Eskimonebel]]__|
|[[5. Nacht / 02.-03.01.|02. Januar 2019 - Muela de San Juan]]|''14" Dobson, 10 h, Ort: Muela de San Juan - Alto Tajo, SQM-L 21.84, -4 °C, 7 Objekte''<br>NGC 1255, __[[NGC 1097]]__, __[[Weinberger-Dengel 1]]__, Minkowski 3-1, __[[Peimbert-Batiz 1]]__, __[[NGC 2440 - Insektennebel]]__, __[[NGC 2610]]__|
|[[6. Nacht / 03.-04.01.|03. Januar 2019 - Muela de San Juan]]|''14" Dobson, 11 h, Ort: Muela de San Juan - Alto Tajo, SQM-L 21.67, -8 °C, 4 Objekte''<br>//Weinberger 1-1//, __[[Peimbert-Batiz 1]]__, //Hartl-Dengel-Weinberger 3//, __[[Arp 82]]__|
|[[7. Nacht / 04.-05.01.|04. Januar 2019 - Muela de San Juan]]|''14" Dobson, 11 h, Ort: Muela de San Juan - Alto Tajo, SQM-L 22.0, -4 °C, 3 Objekte''<br>__[[Minkowski 2-53]]__, __[[UGC 3214]]__, __[[Sh2-301]]__, UGC 10214|
|[[8. Nacht / 05.-06.01.|05. Januar 2019 - Muela de San Juan]]|''14" Dobson, 9 h, Ort: Muela de San Juan - Alto Tajo, SQM-L 21.82, 0 °C, 2 Objekte''<br>__[[NGC 7354]]__, __[[V777 Mon - Red Rectangle]]__, __[[IC 426]]__|
|!8 Nächte|!Gesamtbeobachtungszeit 71 h, [[21 Objekte gezeichnet|Muela de San Juan Jan 2019 - Zeichnungen]]|

Insgesamt bin ich auf acht Nächte gekommen und habe dabei bis zum Neumond beobachtet. Theoretisch wären weitere Nächte ggf. mit Standortwechsel möglich gewesen. Sehr wahrscheinlich bis zum nächsten Vollmond bzw. Ersten Viertel.

!Beobachtungsbedingungen

!!Qualität des Nachthimmels

In der Tabelle sind jeweils die Maximalwerte des SQM-L's pro Nacht angegeben (Details siehe einzelne Beobachtungsberichte). In der vorletzten Nacht sind gemittelte Werte über 22.0 von mir gemessen worden. Die Nächte beginnen nach Einbruch der astronomischen Dämmerung direkt mit Werte über 21.6 und erreichen, sofern es klar und transparent ist, einige Stunden später Werte über 21.8. Dies ist normal und zeigt sich auch an den besten Beobachtungsplätzen so, wie ich im Artikel "[[Dunst oder Airglow?]]" erläutert habe. Gegen Morgen wurden i.d.R. die besten Werte ermittelt (gegen fünf Uhr Ortszeit). Sogar um Polaris (40° Höhe) sind unter guten Bedingungen Werte um 21.76 die Regel.

Lichtglocken sind im Norden (Zaragossa), im Südosten (Valencia) sowie im Westen (Madrid) zu erkennen. Diese stören mitunter, sofern sie nicht verdeckt sind. Dabei spielt die Kimmhöhe der Muela de San Juan mit 1800 m üNN eine entscheidende Rolle, da man so unter den mathematischen Horizont blicken kann. Werden sie durch Baumreihen, die ca. fünf Grad des Horizontes wegnehmen, verdeckt, sind sie visuell wahrnehmbar, aber praktisch überhaupt nicht störend. Madrid ist so nur vage erkennbar und das Abendzodiakallicht am Horizont sogar etwas heller.

M33 ist mit bloßem Auge direkt sichtbar. Das Zodiakallicht und die Lichtbrücke die ganze Nacht hindurch. Am Platz auf der Lichtung ist die Umgebung tatsächlich nur vage erkennbar, das Airglowband Richtung Nordwesten sichtbar (wo keine horizontnahe Lichtverschmutzung herrscht), also alle Indikatoren für die Bortleklasse eins. Einzig die trotzdem vorhandene Lichtverschmutzung am Horizont trübt die Gesamtbewertung etwas ein. 

<div class="tc-link-info-item-flex" style="float:right; margin-left:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/L23Lg5"><img src="https://farm8.staticflickr.com/7812/32773215318_9cbdca85db_h.jpg"></a>Dichter Wald säumt die Straßen auf dem Alto Tajo.</div>

!!Seeingbedingungen

Das Seeing war stets gut. Auf einer Skala von eins bis fünf wurden in den schlechtesten Fällen die drei erreicht. Häufig war das Seeing im Bereich eins bis zwei, d.h. gut bis sehr gut. Am unscharfen Polarstern (40° Höhe) zeigt sich meist Pickering 7-8. Bei hohen Vergrößerungen zeigt das Seeing ein niederfrequentes Wabern um das Beugungsbild, wobei in kurzen Momenten das Beugungsbild extrem scharf wurde. In Nächten wo das Seeing hervorragend war, waren hellere Sterne selbst bei 900 facher Vergrößerung nicht aufgeblasen, sondern reduziert, d.h. klein und nicht aufgeblasen, und ständig als scharfe Beugungsscheibchen zu erkennen. Hervorragendes Seeing dauerte auch nie die ganze Nacht hindurch, sondern nur einige Stunden. Dies ist aber normal und meiner Erfahrung nach (z.B. La Palma) natürlich. Häufig ist es sogar so, dass es im Anschluss (manchmal auch nur kurzzeitig) einbricht und deutlich schlechter wird.

!!Wind

Wind war in den Nächten kein Problem. In der letzten Nacht wurde Wind mit 50 km/h vorhergesagt und dies war auch korrekt, wie ich anhand der Geräuschkulisse im Wald wahrnehmen konnte. Mich hat er auf dem Platz - bis auf verirrte Böen - kaum tangiert. Dazu muss man aber wissen, dass der Parkplatz leicht abschüssig hinter dem Gipfel, der sich im Norden befindet, liegt. Dies ist natürlich vorteilhaft. Wind aus Nord, Nordwest und West sollte hier kein Problem sein. Falls doch kann man auf die stillgelegten Gebäude des Restaurants ausweichen. Grundsätzlich ist der [[Alto Tajo]], also die Region deutlich windiger als südlichere Plätze in Andalusien.

!Wie ist die Lage auf der Muela de San Juan einzuschätzen?

Wunderbare Nächte waren das, die ich nicht so  schnell vergessen werden. Klar ist aber auch, dass ich viel Glück hatte. Denn in einem Gespräch mit dem sehr netten Wirt des Hostals, erzählt er, dass normalerweise um diese Zeit Schnee zu erwarten sei und sonnige Wetterfenster meist nur wenige Tage anhielten. Aktuell sei das Wetter bereits vor meiner Ankunft zwei Wochen lang gut gewesen. Und nach meiner Abfahrt mindestens eine weitere Woche sonnig und nachts klar. Darüber hinaus erklärt er, dass die Auffahrt zur Muela de San Juan i.d.R. den Winter über vereist ist. Mir ist das jetzt auch klar, da diese Seite des Berges nach Norden zeigt und Eisflächen dort, wie auch an anderen Stellen die ich gesehen, kaum mehr abtauen. Aber Glück braucht man halt auch. 

Weiter erfahre ich, dass im Sommer die Fiestas im Juli sind. Da braucht man in keinem spanischen Dorf aufzutauchen, denn tagsüber ist keine Erholung möglich. Und in der letzten Augustwoche sei das Hotel mit Sportlern stets komplett belegt. Generell sind im Sommer mehr Leute in den Dörfern in Spanien unterwegs. Viele kehren für längere Zeit in die Häuser zurück. Dann wird die Muela de San Juan ein beliebtes Ausflugziel für jüngere Leute. Generell muss man schauen, ob das Lokal oben wieder eröffnet wird oder nicht. 

<div class="tc-link-info-item-flex" style="float:left; margin-right:15px; margin-bottom:15px;"><a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/Z5cZV4"><img src="https://farm5.staticflickr.com/4865/32773154918_df5abd6e5d_b.jpg"></a>Innenansicht des Hotels. Hier die Bar. Ich kann das Hostal uneingeschränkt empfehlen.</div>

Im Gespräch mit dem Bürgermeister erfahre ich, dass die Gemeinde einen Pächter suche, dies aber schwierig sei. Am Dorfrand sei zudem geplant einen Stellplatz für 30-40 Wohnmobile zu bauen. Da dies auf keinen Fall - wie mir versichert wird - oben auf der Muela sein wird, spielt das für die Situation praktisch keine Rolle. In jedem Fall kann man auf Lichtungen im Wald ausweichen, wobei das kampieren, d.h. dauerhafter Aufenthalt mit Zelt ect. nicht erlaubt ist. Dies wird lediglich auf dem Parkplatz geduldet.

!Aufnahmen mit der neuen Kamera und den neuen Objektiven

Die Sony A6300 ist noch mal deutlich besser als die RX100 III. Das Bild ist deutlich rauschärmer, zeigt eine deutlich bessere Dynamik und kann mit den Wechselobjektiven vielseitiger eingesetzt werden. Dies deutete sich in einem Trockentest, den ich im Artikel "[[Wie ich zu einer neuen Kamera kam]]" beschrieben habe, bereits an. Beide Objektive, dass Sigma 16mm f1.4 (entspricht 24mm Vollformat) sowie das 180° Fisheye Meike 6.5mm f2 (lt. Hersteller sogar effektiv 190°) machen einen guten Job. Insbesondere das Meike mit einem Preis von nur 129 € ist einfach gut. 

!!Timelapse Video

Unten ist ein Video zu sehen, dass eine Zeitrafferaufnahme des gesamten Nachthimmels zeigt. Aufgenommen auf dem Parkplatz der Muela de San Juan. Start der Aufnahme war am [[4. Januar 2019|04. Januar 2019 - Muela de San Juan]] um 19:45 Uhr. Ende ist am 5. Januar um ca. 06:45 Uhr. Süden ist unten. Norden oben. Aufgenommen mit dem Meike 6.5mm f2 Fisheye und Sony A6300. Das Objektiv habe ich auf ca. f2.8 abgeblendet (Mitte zwischen f2 und f4). Es wurde 25 sec bei 5000 ASA belichtet. Berücksichtigt man den Dunkelbildabzug der Kamera nach jeder Aufnahme, wurde alle 50 sec ein Bild geschossen. Ich habe auch in den Nächten zuvor Zeitrafferaufnahmen dieser Art gemacht, aber diese ausgewählt, da hier auch Wolken durchziehen und man so die Qualität des Nachthimmels besser beurteilen kann. 

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Nur die dichtesten Wolken konnte man mit bloßem Auge vage wahrnehmen. Es zeigt sich, dass durchziehende Zirren trotzdem von der Lichtverschmutzung der entfernten Städte noch rot angeleuchtet werden. Ich vermute, dass es in Kontinentaleuropa keinen Beobachtungsplatz gibt, wo dies nicht der Fall ist. 

!!Mit dem Fisheye werde ich zukünftig die Himmelsqualität aufzeichnen

Ich werde es für die Aufzeichnung der Himmelsqualität das Meike 6.5mm f2 zukünftig einsetzen und bin nicht mehr auf mit MS ICE zusammengesetzte und kompilierte All Sky Panoramen angewiesen, was eine unglaubliche Zeitersparnis, sowie eine objektivere Betrachtung der Situation an den Plätzen erlaubt. Dabei half natürlich die Tatsache des dunklen Nachthimmels enorm, da ich so die Parameter (5000 ASA, Blende 2.8 (Halber Weg zwischen Blende 2 und 4) und 25 sec an der Sony A6300) festlegen konnte. Diese werde ich jetzt stets benutzen, um eine Vergleichbarkeit der unterschiedlichen Plätze zu gewährleisten.

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/m6Qbmn"><img src="https://farm8.staticflickr.com/7881/39733651573_ecc025844e_h.jpg"></a>

Das Foto zeigt eine Aufnahme vom 05. Januar 2019 kurz nach Einbruch der astronomischen Dämmerung. In der Mitte ist das Zodiakallicht zu sehen, sowie die Lichtbrücke, die bis in den Zenit reicht. Links und rechts die Wintermilchstraße.

<a data-flickr-embed="true" data-header="true" data-footer="true"  href="https://www.flickr.com/photos/106029581@N02/31683474040/in/datetaken/" title="Puerto del Pinar - Spherical"><img src="https://c1.staticflickr.com/1/637/31683474040_33673818bf_k.jpg" alt="Puerto del Pinar - Spherical"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Da denkt man, dass es in Spanien wärmer ist. Stimmt grundsätzlich. Aber auf 1600m liegt ordentlich Schnee und kalt ist es auch.

Ich hoffe im Vorfeld, dass der Schnee nicht zum Hindernis wird, denn auf dem Calar Alto zeigen die Kameras eine dicke Schneedecke an. Höhenmäßig liegen da aber 400m dazwischen, so dass die Chance für mich gut stehen. Die Zeit mit der anbrechenden Schönwetterphase und die zugehörige Sonne arbeiten auch für mich.

!!!Weihnachten wären insgesamt vier Nächte möglich. Aber es ist ja Weihnachten...

Insgesamt beginnt das schöne Wetter am 21.12. und setzt sich bis zum 31.12. fort. Also bestes Wetter zum Neumond.

Ich bin immer wieder gerne hier, da mir der Platz und die Gegend einfach gefallen. An meinem Stammplatz liegt aber am Ende doch noch zu viel Schnee, so dass ich auf unterschiedliche Plätze ausweiche.

!!Beobachtungsübersicht

|!Nacht / Datum|!Gerät, Dauer, Objekte|
|[[1. Nacht / 25.-26.12.|25. Dezember 2016 - Pinar de Araceli]]|''14"  Dobson, 12 h, Ort: Nablanca, SQM-L 21.86,  10 Objekte''<br>__[[NGC 246 - Totenkopfnebel]]__, NGC 70 Gruppe, __[[M76 - Kleiner Hantelnebel]]__, __[[M79]]__, __[[NGC 1964]]__, __[[NGC 1514]]__, __[[Palomar 4]]__, __[[Palomar 1]]__, M104 - Sombrero Galaxie|
|[[2. Nacht / 26.-27.12.|26. Dezember 2016 - Pinar de Araceli]]|''14" Dobson, 11 h, Ort: Nablanca, SQM-L 21.82, 11 Objekte''<br>__[[NGC 288]]__, __[[NGC 253 - Silver Dollar]]__,  __[[NGC 660]]__, __[[Flammen- & Pferdekopfnebel|NGC 2024 & IC 434]]__, __[[NGC 1333]]__, M42, __[[NGC 2438]]__, __[[Minkowski 1-18]]__, __[[IC 2165]]__, 3C 273, __[[UGC 3697 - Integralzeichen Galaxie]]__|
|[[3. Nacht / 27.-28.12.|27. Dezember 2016 - Pinar de Araceli]]|''14" Dobson, 6 h, Ort: Puerto de la Losa, SQM-L 21.76, 3 Objekte''<br>__[[NGC 253 - Silver Dollar]]__, __[[HCG 22]]__, __[[M42 - Zentrum]]__|
|[[4. Nacht / 29.-30.12.|29. Dezember 2016 - Pinar de Araceli]]|''14" Dobson, 7 h, Ort: Puerto del Pinar, SQM-L 21.5, 7 Objekte''<br>__[[NGC 247]]__, __[[NGC 1300]]__, __[[Eridanus Cluster]]__, __[[HCG 30]]__, __[[HCG 31]]__, __[[NGC 1637]]__, __[[NGC 1788]]__|
|[[5. Nacht / 30.-31.12.|30. Dezember 2016 - Pinar de Araceli]]|''14" Dobson, 7 h, Ort: Puerto del Pinar, SQM-L 21.82, 6 Objekte''<br>Venus, 45 P/Honda-Mrkos-Pajdusakova, IC 1909 - Hexenkopfnebel, __[[HCG 31]]__, NGC 1691, Kohoutek 2-2|
|[[6. Nacht / 31.12.-01.01.|31. Dezember 2016 - Pinar de Araceli]]|''14" Dobson, 9 h, Ort: Puerto de la Losa, SQM-L 21.82, 9 Objekte''<br>__[[M77]]__, __[[NGC 1055]]__, IC 353, __[[NGC 2371 & 2372]]__, __[[Abell 15]]__, __[[NGC 2419 - Intergalaktischer Wanderer]]__, __[[IC 2574 - Coddington's Nebel]]__, __[[Kohoutek 2-2]]__|

Insgesamt sechs Super Nächte. Leider war das Seeing die letzten Tage schlecht bzw. bestenfalls variabel. 

Lt. meinem Logbuch bin ich dieses Jahr 43 mal beobachten gewesen. Nicht schlecht!

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<<toc-selective-expandable 'Übersicht'>>

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Objekt: η Carinae - Homunculus, Teleskop: 25" f/4 Newton, 
Vergrößerung: 670x, Filter:-, Bedingungen: SQM-L 21.9, Ort: [[Tivoli Astrofarm]], Zeitpunkt: [[25. & 26.05.2019|25. Mai 2019 - Tivoli Astrofarm]], Seeing 2-3

<a data-flickr-embed="true"  href="https://www.flickr.com/gp/106029581@N02/q6hr41" title="Homunculus"><img src="https://live.staticflickr.com/65535/48501784582_23af215146_c.jpg" alt="Homunculus"></a>

[[Invertierte Darstellung|https://www.flickr.com/photos/106029581@N02/48388994702/in/dateposted/]]