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TESS Backdrop

Test statuspypi status

Check out the documentation.

tess-backdrop is a tool to 1) create a background correction for TESS images 2) apply a background correction to any block of TESS data.

What does tess-backdrop make?

tess-backdrop makes sets of fits files for every TESS sector, camera and CCD. These fits files are quite small (10s of Mb) and contain all the information needed to create a scattered light background correction for any pixel, at any time. Below is an example of the sorts of corrections tess_backdrop makes.

Each of the background estimates is fast to evaluate for any given TESS FFI dataset. This means you can apply the scattered light correction really quickly, without having to download anything else from MAST.

How do you install tess-backdrop?

You can install with pip using

pip install tess-backdrop

How do you use tess-backdrop?

There are tutorials available on our documentation pages. Here are some really simple examples. You can obtain a TESSCut TPF using lightkurve

importlightkurveaslktpf=lk.search_tesscut('TIC 441075486', sector=2).download(cutout_size=(20, 21), quality_bitmask=None)

You can then correct the background in the TPF using

importtess_backdropastbdb=tbd.BackDrop()
b.load(sector=2, camera=1, ccd=3)
corrected_tpf=b.correct_tpf(tpf)

Or you could create a corrected light curve using

r=tbd.TESSCutCorrector(tpf, aperture_mask=tpf.create_threshold_mask())
corrected_lc=r.correct(npca_components=10, spline_timescale=1)

About

Tool to correct the background scattered light in TESS FFIs

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Readme
MIT license
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Custom properties

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10 stars

Watchers

2 watching

Forks

3 forks
Report repository

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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" + '

Skip to content
BranchesTags
Repository files navigation
TESS Backdrop
Test statuspypi status
Check out the documentation.
tess-backdrop is a tool to 1) create a background correction for TESS images 2) apply a background correction to any block of TESS data.
What does tess-backdrop make?
tess-backdrop makes sets of fits files for every TESS sector, camera and CCD. These fits files are quite small (10s of Mb) and contain all the information needed to create a scattered light background correction for any pixel, at any time. Below is an example of the sorts of corrections tess_backdrop makes.
Each of the background estimates is fast to evaluate for any given TESS FFI dataset. This means you can apply the scattered light correction really quickly, without having to download anything else from MAST.
How do you install tess-backdrop?
You can install with pip using
pip install tess-backdrop
How do you use tess-backdrop?
There are tutorials available on our documentation pages. Here are some really simple examples. You can obtain a TESSCut TPF using lightkurve
importlightkurveaslktpf=lk.search_tesscut('TIC 441075486', sector=2).download(cutout_size=(20, 21), quality_bitmask=None)
You can then correct the background in the TPF using
importtess_backdropastbdb=tbd.BackDrop()
b.load(sector=2, camera=1, ccd=3)
corrected_tpf=b.correct_tpf(tpf)
Or you could create a corrected light curve using
r=tbd.TESSCutCorrector(tpf, aperture_mask=tpf.create_threshold_mask())
corrected_lc=r.correct(npca_components=10, spline_timescale=1)
About
Tool to correct the background scattered light in TESS FFIs
Resources
Readme
MIT license
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10 stars
Watchers
2 watching
Forks
3 forks
Report repository
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, '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
BranchesTags
Repository files navigation
TESS Backdrop
Test statuspypi status
Check out the documentation.
tess-backdrop is a tool to 1) create a background correction for TESS images 2) apply a background correction to any block of TESS data.
What does tess-backdrop make?
tess-backdrop makes sets of fits files for every TESS sector, camera and CCD. These fits files are quite small (10s of Mb) and contain all the information needed to create a scattered light background correction for any pixel, at any time. Below is an example of the sorts of corrections tess_backdrop makes.
Each of the background estimates is fast to evaluate for any given TESS FFI dataset. This means you can apply the scattered light correction really quickly, without having to download anything else from MAST.
How do you install tess-backdrop?
You can install with pip using
pip install tess-backdrop
How do you use tess-backdrop?
There are tutorials available on our documentation pages. Here are some really simple examples. You can obtain a TESSCut TPF using lightkurve
importlightkurveaslktpf=lk.search_tesscut('TIC 441075486', sector=2).download(cutout_size=(20, 21), quality_bitmask=None)
You can then correct the background in the TPF using
importtess_backdropastbdb=tbd.BackDrop()
b.load(sector=2, camera=1, ccd=3)
corrected_tpf=b.correct_tpf(tpf)
Or you could create a corrected light curve using
r=tbd.TESSCutCorrector(tpf, aperture_mask=tpf.create_threshold_mask())
corrected_lc=r.correct(npca_components=10, spline_timescale=1)
About
Tool to correct the background scattered light in TESS FFIs
Resources
Readme
MIT license
Activity
Custom properties
Stars
10 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
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
TESS Backdrop
Test statuspypi status
Check out the documentation.
tess-backdrop is a tool to 1) create a background correction for TESS images 2) apply a background correction to any block of TESS data.
What does tess-backdrop make?
tess-backdrop makes sets of fits files for every TESS sector, camera and CCD. These fits files are quite small (10s of Mb) and contain all the information needed to create a scattered light background correction for any pixel, at any time. Below is an example of the sorts of corrections tess_backdrop makes.
Each of the background estimates is fast to evaluate for any given TESS FFI dataset. This means you can apply the scattered light correction really quickly, without having to download anything else from MAST.
How do you install tess-backdrop?
You can install with pip using
pip install tess-backdrop
How do you use tess-backdrop?
There are tutorials available on our documentation pages. Here are some really simple examples. You can obtain a TESSCut TPF using lightkurve
importlightkurveaslktpf=lk.search_tesscut('TIC 441075486', sector=2).download(cutout_size=(20, 21), quality_bitmask=None)
You can then correct the background in the TPF using
importtess_backdropastbdb=tbd.BackDrop()
b.load(sector=2, camera=1, ccd=3)
corrected_tpf=b.correct_tpf(tpf)
Or you could create a corrected light curve using
r=tbd.TESSCutCorrector(tpf, aperture_mask=tpf.create_threshold_mask())
corrected_lc=r.correct(npca_components=10, spline_timescale=1)
About
Tool to correct the background scattered light in TESS FFIs
Resources
Readme
MIT license
Activity
Custom properties
Stars
10 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
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
TESS Backdrop
Test statuspypi status
Check out the documentation.
tess-backdrop is a tool to 1) create a background correction for TESS images 2) apply a background correction to any block of TESS data.
What does tess-backdrop make?
tess-backdrop makes sets of fits files for every TESS sector, camera and CCD. These fits files are quite small (10s of Mb) and contain all the information needed to create a scattered light background correction for any pixel, at any time. Below is an example of the sorts of corrections tess_backdrop makes.
Each of the background estimates is fast to evaluate for any given TESS FFI dataset. This means you can apply the scattered light correction really quickly, without having to download anything else from MAST.
How do you install tess-backdrop?
You can install with pip using
pip install tess-backdrop
How do you use tess-backdrop?
There are tutorials available on our documentation pages. Here are some really simple examples. You can obtain a TESSCut TPF using lightkurve
importlightkurveaslktpf=lk.search_tesscut('TIC 441075486', sector=2).download(cutout_size=(20, 21), quality_bitmask=None)
You can then correct the background in the TPF using
importtess_backdropastbdb=tbd.BackDrop()
b.load(sector=2, camera=1, ccd=3)
corrected_tpf=b.correct_tpf(tpf)
Or you could create a corrected light curve using
r=tbd.TESSCutCorrector(tpf, aperture_mask=tpf.create_threshold_mask())
corrected_lc=r.correct(npca_components=10, spline_timescale=1)
About
Tool to correct the background scattered light in TESS FFIs
Resources
Readme
MIT license
Activity
Custom properties
Stars
10 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
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
TESS Backdrop
Test statuspypi status
Check out the documentation.
tess-backdrop is a tool to 1) create a background correction for TESS images 2) apply a background correction to any block of TESS data.
What does tess-backdrop make?
tess-backdrop makes sets of fits files for every TESS sector, camera and CCD. These fits files are quite small (10s of Mb) and contain all the information needed to create a scattered light background correction for any pixel, at any time. Below is an example of the sorts of corrections tess_backdrop makes.
Each of the background estimates is fast to evaluate for any given TESS FFI dataset. This means you can apply the scattered light correction really quickly, without having to download anything else from MAST.
How do you install tess-backdrop?
You can install with pip using
pip install tess-backdrop
How do you use tess-backdrop?
There are tutorials available on our documentation pages. Here are some really simple examples. You can obtain a TESSCut TPF using lightkurve
importlightkurveaslktpf=lk.search_tesscut('TIC 441075486', sector=2).download(cutout_size=(20, 21), quality_bitmask=None)
You can then correct the background in the TPF using
importtess_backdropastbdb=tbd.BackDrop()
b.load(sector=2, camera=1, ccd=3)
corrected_tpf=b.correct_tpf(tpf)
Or you could create a corrected light curve using
r=tbd.TESSCutCorrector(tpf, aperture_mask=tpf.create_threshold_mask())
corrected_lc=r.correct(npca_components=10, spline_timescale=1)
About
Tool to correct the background scattered light in TESS FFIs
Resources
Readme
MIT license
Activity
Custom properties
Stars
10 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
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
Repository files navigation
TESS Backdrop
Test statuspypi status
Check out the documentation.
tess-backdrop is a tool to 1) create a background correction for TESS images 2) apply a background correction to any block of TESS data.
What does tess-backdrop make?
tess-backdrop makes sets of fits files for every TESS sector, camera and CCD. These fits files are quite small (10s of Mb) and contain all the information needed to create a scattered light background correction for any pixel, at any time. Below is an example of the sorts of corrections tess_backdrop makes.
Each of the background estimates is fast to evaluate for any given TESS FFI dataset. This means you can apply the scattered light correction really quickly, without having to download anything else from MAST.
How do you install tess-backdrop?
You can install with pip using
pip install tess-backdrop
How do you use tess-backdrop?
There are tutorials available on our documentation pages. Here are some really simple examples. You can obtain a TESSCut TPF using lightkurve
importlightkurveaslktpf=lk.search_tesscut('TIC 441075486', sector=2).download(cutout_size=(20, 21), quality_bitmask=None)
You can then correct the background in the TPF using
importtess_backdropastbdb=tbd.BackDrop()
b.load(sector=2, camera=1, ccd=3)
corrected_tpf=b.correct_tpf(tpf)
Or you could create a corrected light curve using
r=tbd.TESSCutCorrector(tpf, aperture_mask=tpf.create_threshold_mask())
corrected_lc=r.correct(npca_components=10, spline_timescale=1)
About
Tool to correct the background scattered light in TESS FFIs
Resources
Readme
MIT license
Activity
Custom properties
Stars
10 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
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
BranchesTags
Repository files navigation
TESS Backdrop
Test statuspypi status
Check out the documentation.
tess-backdrop is a tool to 1) create a background correction for TESS images 2) apply a background correction to any block of TESS data.
What does tess-backdrop make?
tess-backdrop makes sets of fits files for every TESS sector, camera and CCD. These fits files are quite small (10s of Mb) and contain all the information needed to create a scattered light background correction for any pixel, at any time. Below is an example of the sorts of corrections tess_backdrop makes.
Each of the background estimates is fast to evaluate for any given TESS FFI dataset. This means you can apply the scattered light correction really quickly, without having to download anything else from MAST.
How do you install tess-backdrop?
You can install with pip using
pip install tess-backdrop
How do you use tess-backdrop?
There are tutorials available on our documentation pages. Here are some really simple examples. You can obtain a TESSCut TPF using lightkurve
importlightkurveaslktpf=lk.search_tesscut('TIC 441075486', sector=2).download(cutout_size=(20, 21), quality_bitmask=None)
You can then correct the background in the TPF using
importtess_backdropastbdb=tbd.BackDrop()
b.load(sector=2, camera=1, ccd=3)
corrected_tpf=b.correct_tpf(tpf)
Or you could create a corrected light curve using
r=tbd.TESSCutCorrector(tpf, aperture_mask=tpf.create_threshold_mask())
corrected_lc=r.correct(npca_components=10, spline_timescale=1)
About
Tool to correct the background scattered light in TESS FFIs
Resources
Readme
MIT license
Activity
Custom properties
Stars
10 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages