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First M87 EHT Results: Imaging Pipelines

Authors: The Event Horizon Telescope Collaboration et al.

Date: April 10, 2019

Primary Reference:The Event Horizon Telescope Collaboration, et al. 2019d, ApJL, 875, L4 (M87 Paper IV)

Data Product Code:2019-D01-02

Brief Description:

We release three imaging pipelines (DIFMAP, eht-imaging and SMILI) used in the parameter survey of M87 Paper IV Section 6 and later. All imaging pipelines create images from calibrated uvfits files (see M87 Paper III) simultaneously released (data product code: 2019-D01-01). For more detailed instructions, please see the README file in the sub-directory for each pipeline.

We note that, as described in 2019-D01-01, released visibility data sets have only Stokes I, which are slightly different from data sets used in Paper IV that have dual polarization at Stokes RR and LL. This slight difference in released data sets will provide no net changes in DIFMAP and eht-imaging pipelines, while it will change self-calibration procedures slightly for SMILI calibrating R and L gains separately for the latter dual polarization data sets. We confirm that reconstructed images are consistent with images presented in Paper IV on fiducial parameters (see Paper IV Section 6) for all three pipelines, and will not affect our conclusions in the M87 publications (Paper I, II, III, IV, V and VI).

Notes:

These data files only include Stokes I visibilities, while the published results used data files from the full SR1 release which include Stokes RR and LL. The slight difference in the underlying data from the conversion to Stokes I in the single-precision *.uvfits files, as well as differences in the python dependencies used by eht-imaging and SMILI (e.g. numpy, astropy, scipy), may slightly affect the final image.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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First M87 EHT Results: Imaging Pipelines

Authors: The Event Horizon Telescope Collaboration et al.

Date: April 10, 2019

Primary Reference:The Event Horizon Telescope Collaboration, et al. 2019d, ApJL, 875, L4 (M87 Paper IV)

Data Product Code:2019-D01-02

Brief Description:

We release three imaging pipelines (DIFMAP, eht-imaging and SMILI) used in the parameter survey of M87 Paper IV Section 6 and later. All imaging pipelines create images from calibrated uvfits files (see M87 Paper III) simultaneously released (data product code: 2019-D01-01). For more detailed instructions, please see the README file in the sub-directory for each pipeline.

We note that, as described in 2019-D01-01, released visibility data sets have only Stokes I, which are slightly different from data sets used in Paper IV that have dual polarization at Stokes RR and LL. This slight difference in released data sets will provide no net changes in DIFMAP and eht-imaging pipelines, while it will change self-calibration procedures slightly for SMILI calibrating R and L gains separately for the latter dual polarization data sets. We confirm that reconstructed images are consistent with images presented in Paper IV on fiducial parameters (see Paper IV Section 6) for all three pipelines, and will not affect our conclusions in the M87 publications (Paper I, II, III, IV, V and VI).

Notes:

These data files only include Stokes I visibilities, while the published results used data files from the full SR1 release which include Stokes RR and LL. The slight difference in the underlying data from the conversion to Stokes I in the single-precision *.uvfits files, as well as differences in the python dependencies used by eht-imaging and SMILI (e.g. numpy, astropy, scipy), may slightly affect the final image.

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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('^' + ".*" + '
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First M87 EHT Results: Imaging Pipelines

Authors: The Event Horizon Telescope Collaboration et al.

Date: April 10, 2019

Primary Reference:The Event Horizon Telescope Collaboration, et al. 2019d, ApJL, 875, L4 (M87 Paper IV)

Data Product Code:2019-D01-02

Brief Description:

We release three imaging pipelines (DIFMAP, eht-imaging and SMILI) used in the parameter survey of M87 Paper IV Section 6 and later. All imaging pipelines create images from calibrated uvfits files (see M87 Paper III) simultaneously released (data product code: 2019-D01-01). For more detailed instructions, please see the README file in the sub-directory for each pipeline.

We note that, as described in 2019-D01-01, released visibility data sets have only Stokes I, which are slightly different from data sets used in Paper IV that have dual polarization at Stokes RR and LL. This slight difference in released data sets will provide no net changes in DIFMAP and eht-imaging pipelines, while it will change self-calibration procedures slightly for SMILI calibrating R and L gains separately for the latter dual polarization data sets. We confirm that reconstructed images are consistent with images presented in Paper IV on fiducial parameters (see Paper IV Section 6) for all three pipelines, and will not affect our conclusions in the M87 publications (Paper I, II, III, IV, V and VI).

Notes:

These data files only include Stokes I visibilities, while the published results used data files from the full SR1 release which include Stokes RR and LL. The slight difference in the underlying data from the conversion to Stokes I in the single-precision *.uvfits files, as well as differences in the python dependencies used by eht-imaging and SMILI (e.g. numpy, astropy, scipy), may slightly affect the final image.

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, '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('^' + ".*" + '
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First M87 EHT Results: Imaging Pipelines

Authors: The Event Horizon Telescope Collaboration et al.

Date: April 10, 2019

Primary Reference:The Event Horizon Telescope Collaboration, et al. 2019d, ApJL, 875, L4 (M87 Paper IV)

Data Product Code:2019-D01-02

Brief Description:

We release three imaging pipelines (DIFMAP, eht-imaging and SMILI) used in the parameter survey of M87 Paper IV Section 6 and later. All imaging pipelines create images from calibrated uvfits files (see M87 Paper III) simultaneously released (data product code: 2019-D01-01). For more detailed instructions, please see the README file in the sub-directory for each pipeline.

We note that, as described in 2019-D01-01, released visibility data sets have only Stokes I, which are slightly different from data sets used in Paper IV that have dual polarization at Stokes RR and LL. This slight difference in released data sets will provide no net changes in DIFMAP and eht-imaging pipelines, while it will change self-calibration procedures slightly for SMILI calibrating R and L gains separately for the latter dual polarization data sets. We confirm that reconstructed images are consistent with images presented in Paper IV on fiducial parameters (see Paper IV Section 6) for all three pipelines, and will not affect our conclusions in the M87 publications (Paper I, II, III, IV, V and VI).

Notes:

These data files only include Stokes I visibilities, while the published results used data files from the full SR1 release which include Stokes RR and LL. The slight difference in the underlying data from the conversion to Stokes I in the single-precision *.uvfits files, as well as differences in the python dependencies used by eht-imaging and SMILI (e.g. numpy, astropy, scipy), may slightly affect the final image.

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, '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" + '
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First M87 EHT Results: Imaging Pipelines

Authors: The Event Horizon Telescope Collaboration et al.

Date: April 10, 2019

Primary Reference:The Event Horizon Telescope Collaboration, et al. 2019d, ApJL, 875, L4 (M87 Paper IV)

Data Product Code:2019-D01-02

Brief Description:

We release three imaging pipelines (DIFMAP, eht-imaging and SMILI) used in the parameter survey of M87 Paper IV Section 6 and later. All imaging pipelines create images from calibrated uvfits files (see M87 Paper III) simultaneously released (data product code: 2019-D01-01). For more detailed instructions, please see the README file in the sub-directory for each pipeline.

We note that, as described in 2019-D01-01, released visibility data sets have only Stokes I, which are slightly different from data sets used in Paper IV that have dual polarization at Stokes RR and LL. This slight difference in released data sets will provide no net changes in DIFMAP and eht-imaging pipelines, while it will change self-calibration procedures slightly for SMILI calibrating R and L gains separately for the latter dual polarization data sets. We confirm that reconstructed images are consistent with images presented in Paper IV on fiducial parameters (see Paper IV Section 6) for all three pipelines, and will not affect our conclusions in the M87 publications (Paper I, II, III, IV, V and VI).

Notes:

These data files only include Stokes I visibilities, while the published results used data files from the full SR1 release which include Stokes RR and LL. The slight difference in the underlying data from the conversion to Stokes I in the single-precision *.uvfits files, as well as differences in the python dependencies used by eht-imaging and SMILI (e.g. numpy, astropy, scipy), may slightly affect the final image.

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, '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('^' + ".*" + '
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First M87 EHT Results: Imaging Pipelines

Authors: The Event Horizon Telescope Collaboration et al.

Date: April 10, 2019

Primary Reference:The Event Horizon Telescope Collaboration, et al. 2019d, ApJL, 875, L4 (M87 Paper IV)

Data Product Code:2019-D01-02

Brief Description:

We release three imaging pipelines (DIFMAP, eht-imaging and SMILI) used in the parameter survey of M87 Paper IV Section 6 and later. All imaging pipelines create images from calibrated uvfits files (see M87 Paper III) simultaneously released (data product code: 2019-D01-01). For more detailed instructions, please see the README file in the sub-directory for each pipeline.

We note that, as described in 2019-D01-01, released visibility data sets have only Stokes I, which are slightly different from data sets used in Paper IV that have dual polarization at Stokes RR and LL. This slight difference in released data sets will provide no net changes in DIFMAP and eht-imaging pipelines, while it will change self-calibration procedures slightly for SMILI calibrating R and L gains separately for the latter dual polarization data sets. We confirm that reconstructed images are consistent with images presented in Paper IV on fiducial parameters (see Paper IV Section 6) for all three pipelines, and will not affect our conclusions in the M87 publications (Paper I, II, III, IV, V and VI).

Notes:

These data files only include Stokes I visibilities, while the published results used data files from the full SR1 release which include Stokes RR and LL. The slight difference in the underlying data from the conversion to Stokes I in the single-precision *.uvfits files, as well as differences in the python dependencies used by eht-imaging and SMILI (e.g. numpy, astropy, scipy), may slightly affect the final image.

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, '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('^' + ".*" + '
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First M87 EHT Results: Imaging Pipelines

Authors: The Event Horizon Telescope Collaboration et al.

Date: April 10, 2019

Primary Reference:The Event Horizon Telescope Collaboration, et al. 2019d, ApJL, 875, L4 (M87 Paper IV)

Data Product Code:2019-D01-02

Brief Description:

We release three imaging pipelines (DIFMAP, eht-imaging and SMILI) used in the parameter survey of M87 Paper IV Section 6 and later. All imaging pipelines create images from calibrated uvfits files (see M87 Paper III) simultaneously released (data product code: 2019-D01-01). For more detailed instructions, please see the README file in the sub-directory for each pipeline.

We note that, as described in 2019-D01-01, released visibility data sets have only Stokes I, which are slightly different from data sets used in Paper IV that have dual polarization at Stokes RR and LL. This slight difference in released data sets will provide no net changes in DIFMAP and eht-imaging pipelines, while it will change self-calibration procedures slightly for SMILI calibrating R and L gains separately for the latter dual polarization data sets. We confirm that reconstructed images are consistent with images presented in Paper IV on fiducial parameters (see Paper IV Section 6) for all three pipelines, and will not affect our conclusions in the M87 publications (Paper I, II, III, IV, V and VI).

Notes:

These data files only include Stokes I visibilities, while the published results used data files from the full SR1 release which include Stokes RR and LL. The slight difference in the underlying data from the conversion to Stokes I in the single-precision *.uvfits files, as well as differences in the python dependencies used by eht-imaging and SMILI (e.g. numpy, astropy, scipy), may slightly affect the final image.

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, '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); } })(); })();
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First M87 EHT Results: Imaging Pipelines

Authors: The Event Horizon Telescope Collaboration et al.

Date: April 10, 2019

Primary Reference:The Event Horizon Telescope Collaboration, et al. 2019d, ApJL, 875, L4 (M87 Paper IV)

Data Product Code:2019-D01-02

Brief Description:

We release three imaging pipelines (DIFMAP, eht-imaging and SMILI) used in the parameter survey of M87 Paper IV Section 6 and later. All imaging pipelines create images from calibrated uvfits files (see M87 Paper III) simultaneously released (data product code: 2019-D01-01). For more detailed instructions, please see the README file in the sub-directory for each pipeline.

We note that, as described in 2019-D01-01, released visibility data sets have only Stokes I, which are slightly different from data sets used in Paper IV that have dual polarization at Stokes RR and LL. This slight difference in released data sets will provide no net changes in DIFMAP and eht-imaging pipelines, while it will change self-calibration procedures slightly for SMILI calibrating R and L gains separately for the latter dual polarization data sets. We confirm that reconstructed images are consistent with images presented in Paper IV on fiducial parameters (see Paper IV Section 6) for all three pipelines, and will not affect our conclusions in the M87 publications (Paper I, II, III, IV, V and VI).

Notes:

These data files only include Stokes I visibilities, while the published results used data files from the full SR1 release which include Stokes RR and LL. The slight difference in the underlying data from the conversion to Stokes I in the single-precision *.uvfits files, as well as differences in the python dependencies used by eht-imaging and SMILI (e.g. numpy, astropy, scipy), may slightly affect the final image.

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