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vetting

vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. vetting requires an installation of Python 3.8 or higher.

pypipytestpaper

Installation

You can install vetting by executing the following in a terminal

pip install vetting

Centroid testing

An example of a simple test is shown below.

Example of simple centroid test

Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:

importlightkurveaslkfromvettingimportcentroid_testtpf=lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur=25.3368592, 192.91552, 8.85/24r=centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)

About

Simple, stand-alone tools for vetting transit signals in Kepler, K2 and TESS data

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Readme
MIT license
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3 stars

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1 watching

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3 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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vetting
vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. vetting requires an installation of Python 3.8 or higher.
pypipytestpaper
Installation
You can install vetting by executing the following in a terminal
pip install vetting

Centroid testing
An example of a simple test is shown below.
Example of simple centroid test
Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
importlightkurveaslkfromvettingimportcentroid_testtpf=lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur=25.3368592, 192.91552, 8.85/24r=centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
About
Simple, stand-alone tools for vetting transit signals in Kepler, K2 and TESS data
Resources
Readme
MIT license
Activity
Custom properties
Stars
3 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
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vetting
vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. vetting requires an installation of Python 3.8 or higher.
pypipytestpaper
Installation
You can install vetting by executing the following in a terminal
pip install vetting

Centroid testing
An example of a simple test is shown below.
Example of simple centroid test
Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
importlightkurveaslkfromvettingimportcentroid_testtpf=lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur=25.3368592, 192.91552, 8.85/24r=centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
About
Simple, stand-alone tools for vetting transit signals in Kepler, K2 and TESS data
Resources
Readme
MIT license
Activity
Custom properties
Stars
3 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
vetting
vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. vetting requires an installation of Python 3.8 or higher.
pypipytestpaper
Installation
You can install vetting by executing the following in a terminal
pip install vetting

Centroid testing
An example of a simple test is shown below.
Example of simple centroid test
Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
importlightkurveaslkfromvettingimportcentroid_testtpf=lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur=25.3368592, 192.91552, 8.85/24r=centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
About
Simple, stand-alone tools for vetting transit signals in Kepler, K2 and TESS data
Resources
Readme
MIT license
Activity
Custom properties
Stars
3 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
vetting
vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. vetting requires an installation of Python 3.8 or higher.
pypipytestpaper
Installation
You can install vetting by executing the following in a terminal
pip install vetting

Centroid testing
An example of a simple test is shown below.
Example of simple centroid test
Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
importlightkurveaslkfromvettingimportcentroid_testtpf=lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur=25.3368592, 192.91552, 8.85/24r=centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
About
Simple, stand-alone tools for vetting transit signals in Kepler, K2 and TESS data
Resources
Readme
MIT license
Activity
Custom properties
Stars
3 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
vetting
vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. vetting requires an installation of Python 3.8 or higher.
pypipytestpaper
Installation
You can install vetting by executing the following in a terminal
pip install vetting

Centroid testing
An example of a simple test is shown below.
Example of simple centroid test
Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
importlightkurveaslkfromvettingimportcentroid_testtpf=lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur=25.3368592, 192.91552, 8.85/24r=centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
About
Simple, stand-alone tools for vetting transit signals in Kepler, K2 and TESS data
Resources
Readme
MIT license
Activity
Custom properties
Stars
3 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
BranchesTags
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vetting
vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. vetting requires an installation of Python 3.8 or higher.
pypipytestpaper
Installation
You can install vetting by executing the following in a terminal
pip install vetting

Centroid testing
An example of a simple test is shown below.
Example of simple centroid test
Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
importlightkurveaslkfromvettingimportcentroid_testtpf=lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur=25.3368592, 192.91552, 8.85/24r=centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
About
Simple, stand-alone tools for vetting transit signals in Kepler, K2 and TESS data
Resources
Readme
MIT license
Activity
Custom properties
Stars
3 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
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vetting
vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. vetting requires an installation of Python 3.8 or higher.
pypipytestpaper
Installation
You can install vetting by executing the following in a terminal
pip install vetting

Centroid testing
An example of a simple test is shown below.
Example of simple centroid test
Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:
importlightkurveaslkfromvettingimportcentroid_testtpf=lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur=25.3368592, 192.91552, 8.85/24r=centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
About
Simple, stand-alone tools for vetting transit signals in Kepler, K2 and TESS data
Resources
Readme
MIT license
Activity
Custom properties
Stars
3 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Used by
Contributors
Languages