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Source Detection

While source detection in the LSST science pipelines is carried out (first) during the image processing step, there are subsequent detection phases - and, moreover, we are interested in how sources are detected (and how their measured properties depends on that process). See the index table below for links to tutorial notebooks exploring this.

NotebookShort descriptionLinksOwner
Low Surface BrightnessRun source detection, deblending, and measurement tasks; subtract bright sources from an image; convolve image and detect low-surface brightness sources.

ipynb, rendered

Alex Drlica-Wagner
FootprintsInvestigate the concept of a footprint: the region of an image used for detecting and measuring source properties.

ipynb, rendered

Imran Hasan
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Source Detection

While source detection in the LSST science pipelines is carried out (first) during the image processing step, there are subsequent detection phases - and, moreover, we are interested in how sources are detected (and how their measured properties depends on that process). See the index table below for links to tutorial notebooks exploring this.

NotebookShort descriptionLinksOwner
Low Surface BrightnessRun source detection, deblending, and measurement tasks; subtract bright sources from an image; convolve image and detect low-surface brightness sources.

ipynb, rendered

Alex Drlica-Wagner
FootprintsInvestigate the concept of a footprint: the region of an image used for detecting and measuring source properties.

ipynb, rendered

Imran Hasan
, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Source Detection

While source detection in the LSST science pipelines is carried out (first) during the image processing step, there are subsequent detection phases - and, moreover, we are interested in how sources are detected (and how their measured properties depends on that process). See the index table below for links to tutorial notebooks exploring this.

NotebookShort descriptionLinksOwner
Low Surface BrightnessRun source detection, deblending, and measurement tasks; subtract bright sources from an image; convolve image and detect low-surface brightness sources.

ipynb, rendered

Alex Drlica-Wagner
FootprintsInvestigate the concept of a footprint: the region of an image used for detecting and measuring source properties.

ipynb, rendered

Imran Hasan
, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Source Detection

While source detection in the LSST science pipelines is carried out (first) during the image processing step, there are subsequent detection phases - and, moreover, we are interested in how sources are detected (and how their measured properties depends on that process). See the index table below for links to tutorial notebooks exploring this.

NotebookShort descriptionLinksOwner
Low Surface BrightnessRun source detection, deblending, and measurement tasks; subtract bright sources from an image; convolve image and detect low-surface brightness sources.

ipynb, rendered

Alex Drlica-Wagner
FootprintsInvestigate the concept of a footprint: the region of an image used for detecting and measuring source properties.

ipynb, rendered

Imran Hasan
, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Source Detection

While source detection in the LSST science pipelines is carried out (first) during the image processing step, there are subsequent detection phases - and, moreover, we are interested in how sources are detected (and how their measured properties depends on that process). See the index table below for links to tutorial notebooks exploring this.

NotebookShort descriptionLinksOwner
Low Surface BrightnessRun source detection, deblending, and measurement tasks; subtract bright sources from an image; convolve image and detect low-surface brightness sources.

ipynb, rendered

Alex Drlica-Wagner
FootprintsInvestigate the concept of a footprint: the region of an image used for detecting and measuring source properties.

ipynb, rendered

Imran Hasan
, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Source Detection

While source detection in the LSST science pipelines is carried out (first) during the image processing step, there are subsequent detection phases - and, moreover, we are interested in how sources are detected (and how their measured properties depends on that process). See the index table below for links to tutorial notebooks exploring this.

NotebookShort descriptionLinksOwner
Low Surface BrightnessRun source detection, deblending, and measurement tasks; subtract bright sources from an image; convolve image and detect low-surface brightness sources.

ipynb, rendered

Alex Drlica-Wagner
FootprintsInvestigate the concept of a footprint: the region of an image used for detecting and measuring source properties.

ipynb, rendered

Imran Hasan
, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Source Detection

While source detection in the LSST science pipelines is carried out (first) during the image processing step, there are subsequent detection phases - and, moreover, we are interested in how sources are detected (and how their measured properties depends on that process). See the index table below for links to tutorial notebooks exploring this.

NotebookShort descriptionLinksOwner
Low Surface BrightnessRun source detection, deblending, and measurement tasks; subtract bright sources from an image; convolve image and detect low-surface brightness sources.

ipynb, rendered

Alex Drlica-Wagner
FootprintsInvestigate the concept of a footprint: the region of an image used for detecting and measuring source properties.

ipynb, rendered

Imran Hasan
, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Source Detection

While source detection in the LSST science pipelines is carried out (first) during the image processing step, there are subsequent detection phases - and, moreover, we are interested in how sources are detected (and how their measured properties depends on that process). See the index table below for links to tutorial notebooks exploring this.

NotebookShort descriptionLinksOwner
Low Surface BrightnessRun source detection, deblending, and measurement tasks; subtract bright sources from an image; convolve image and detect low-surface brightness sources.

ipynb, rendered

Alex Drlica-Wagner
FootprintsInvestigate the concept of a footprint: the region of an image used for detecting and measuring source properties.

ipynb, rendered

Imran Hasan