Project: Reduction & analysis of beam simulator images #58

Description

@andrewkbradshaw

I would like to use the stack to reduce and analyze LSST beam simulator images. This may require work on the obs_auxTel package (with help from stack experts) and modification of image headers to successfully ingest lab images into a butler repository. Following successful ingest, I would like to perform instrument signature removal (ISR) on the science images, including bias, cross-talk, gain calibration, masking, flat fielding, and brighter-fatter correction. Once ISR is completed, I would like to verify things worked properly by doing some basic image analysis of the calibration images PSF and galaxy images (e.g. Keith's image quality notebook). Summarizing:

  1. Ingest images from a science run, (ingestImages.py)
  2. Make master bias, dark, flat, and ingest these calibration images (constructBias.py,constructFlat.py,constructDark.py, then ingestCalibs.py)
  3. Process the science images, performing ISR and calibration (processCcd.py)
  4. Examine the source catalog, compute PSF shapes, and display the calexp with firefly (butler.get,calexp.getPsf.computeShape,afwDisplay.getDisplay(backend='firefly'))

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    Project: Reduction & analysis of beam simulator images #58

    Description

    @andrewkbradshaw

    I would like to use the stack to reduce and analyze LSST beam simulator images. This may require work on the obs_auxTel package (with help from stack experts) and modification of image headers to successfully ingest lab images into a butler repository. Following successful ingest, I would like to perform instrument signature removal (ISR) on the science images, including bias, cross-talk, gain calibration, masking, flat fielding, and brighter-fatter correction. Once ISR is completed, I would like to verify things worked properly by doing some basic image analysis of the calibration images PSF and galaxy images (e.g. Keith's image quality notebook). Summarizing:

    1. Ingest images from a science run, (ingestImages.py)
    2. Make master bias, dark, flat, and ingest these calibration images (constructBias.py,constructFlat.py,constructDark.py, then ingestCalibs.py)
    3. Process the science images, performing ISR and calibration (processCcd.py)
    4. Examine the source catalog, compute PSF shapes, and display the calexp with firefly (butler.get,calexp.getPsf.computeShape,afwDisplay.getDisplay(backend='firefly'))

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      Skip to content

      Project: Reduction & analysis of beam simulator images #58

      Description

      @andrewkbradshaw

      I would like to use the stack to reduce and analyze LSST beam simulator images. This may require work on the obs_auxTel package (with help from stack experts) and modification of image headers to successfully ingest lab images into a butler repository. Following successful ingest, I would like to perform instrument signature removal (ISR) on the science images, including bias, cross-talk, gain calibration, masking, flat fielding, and brighter-fatter correction. Once ISR is completed, I would like to verify things worked properly by doing some basic image analysis of the calibration images PSF and galaxy images (e.g. Keith's image quality notebook). Summarizing:

      1. Ingest images from a science run, (ingestImages.py)
      2. Make master bias, dark, flat, and ingest these calibration images (constructBias.py,constructFlat.py,constructDark.py, then ingestCalibs.py)
      3. Process the science images, performing ISR and calibration (processCcd.py)
      4. Examine the source catalog, compute PSF shapes, and display the calexp with firefly (butler.get,calexp.getPsf.computeShape,afwDisplay.getDisplay(backend='firefly'))

      Metadata

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      Image ProcessingTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter

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        Project: Reduction & analysis of beam simulator images #58

        Description

        @andrewkbradshaw

        I would like to use the stack to reduce and analyze LSST beam simulator images. This may require work on the obs_auxTel package (with help from stack experts) and modification of image headers to successfully ingest lab images into a butler repository. Following successful ingest, I would like to perform instrument signature removal (ISR) on the science images, including bias, cross-talk, gain calibration, masking, flat fielding, and brighter-fatter correction. Once ISR is completed, I would like to verify things worked properly by doing some basic image analysis of the calibration images PSF and galaxy images (e.g. Keith's image quality notebook). Summarizing:

        1. Ingest images from a science run, (ingestImages.py)
        2. Make master bias, dark, flat, and ingest these calibration images (constructBias.py,constructFlat.py,constructDark.py, then ingestCalibs.py)
        3. Process the science images, performing ISR and calibration (processCcd.py)
        4. Examine the source catalog, compute PSF shapes, and display the calexp with firefly (butler.get,calexp.getPsf.computeShape,afwDisplay.getDisplay(backend='firefly'))

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        Image ProcessingTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter

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          Skip to content

          Project: Reduction & analysis of beam simulator images #58

          Description

          @andrewkbradshaw

          I would like to use the stack to reduce and analyze LSST beam simulator images. This may require work on the obs_auxTel package (with help from stack experts) and modification of image headers to successfully ingest lab images into a butler repository. Following successful ingest, I would like to perform instrument signature removal (ISR) on the science images, including bias, cross-talk, gain calibration, masking, flat fielding, and brighter-fatter correction. Once ISR is completed, I would like to verify things worked properly by doing some basic image analysis of the calibration images PSF and galaxy images (e.g. Keith's image quality notebook). Summarizing:

          1. Ingest images from a science run, (ingestImages.py)
          2. Make master bias, dark, flat, and ingest these calibration images (constructBias.py,constructFlat.py,constructDark.py, then ingestCalibs.py)
          3. Process the science images, performing ISR and calibration (processCcd.py)
          4. Examine the source catalog, compute PSF shapes, and display the calexp with firefly (butler.get,calexp.getPsf.computeShape,afwDisplay.getDisplay(backend='firefly'))

          Metadata

          Metadata

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          Image ProcessingTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter

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            Skip to content

            Project: Reduction & analysis of beam simulator images #58

            Description

            @andrewkbradshaw

            I would like to use the stack to reduce and analyze LSST beam simulator images. This may require work on the obs_auxTel package (with help from stack experts) and modification of image headers to successfully ingest lab images into a butler repository. Following successful ingest, I would like to perform instrument signature removal (ISR) on the science images, including bias, cross-talk, gain calibration, masking, flat fielding, and brighter-fatter correction. Once ISR is completed, I would like to verify things worked properly by doing some basic image analysis of the calibration images PSF and galaxy images (e.g. Keith's image quality notebook). Summarizing:

            1. Ingest images from a science run, (ingestImages.py)
            2. Make master bias, dark, flat, and ingest these calibration images (constructBias.py,constructFlat.py,constructDark.py, then ingestCalibs.py)
            3. Process the science images, performing ISR and calibration (processCcd.py)
            4. Examine the source catalog, compute PSF shapes, and display the calexp with firefly (butler.get,calexp.getPsf.computeShape,afwDisplay.getDisplay(backend='firefly'))

            Metadata

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            Image ProcessingTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter

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              Skip to content

              Project: Reduction & analysis of beam simulator images #58

              Description

              @andrewkbradshaw

              I would like to use the stack to reduce and analyze LSST beam simulator images. This may require work on the obs_auxTel package (with help from stack experts) and modification of image headers to successfully ingest lab images into a butler repository. Following successful ingest, I would like to perform instrument signature removal (ISR) on the science images, including bias, cross-talk, gain calibration, masking, flat fielding, and brighter-fatter correction. Once ISR is completed, I would like to verify things worked properly by doing some basic image analysis of the calibration images PSF and galaxy images (e.g. Keith's image quality notebook). Summarizing:

              1. Ingest images from a science run, (ingestImages.py)
              2. Make master bias, dark, flat, and ingest these calibration images (constructBias.py,constructFlat.py,constructDark.py, then ingestCalibs.py)
              3. Process the science images, performing ISR and calibration (processCcd.py)
              4. Examine the source catalog, compute PSF shapes, and display the calexp with firefly (butler.get,calexp.getPsf.computeShape,afwDisplay.getDisplay(backend='firefly'))

              Metadata

              Metadata

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              Image ProcessingTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter

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              No type

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                No branches or pull requests

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                , '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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                Project: Reduction & analysis of beam simulator images #58

                Description

                @andrewkbradshaw

                I would like to use the stack to reduce and analyze LSST beam simulator images. This may require work on the obs_auxTel package (with help from stack experts) and modification of image headers to successfully ingest lab images into a butler repository. Following successful ingest, I would like to perform instrument signature removal (ISR) on the science images, including bias, cross-talk, gain calibration, masking, flat fielding, and brighter-fatter correction. Once ISR is completed, I would like to verify things worked properly by doing some basic image analysis of the calibration images PSF and galaxy images (e.g. Keith's image quality notebook). Summarizing:

                1. Ingest images from a science run, (ingestImages.py)
                2. Make master bias, dark, flat, and ingest these calibration images (constructBias.py,constructFlat.py,constructDark.py, then ingestCalibs.py)
                3. Process the science images, performing ISR and calibration (processCcd.py)
                4. Examine the source catalog, compute PSF shapes, and display the calexp with firefly (butler.get,calexp.getPsf.computeShape,afwDisplay.getDisplay(backend='firefly'))

                Metadata

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                Image ProcessingTopic area, to help people find projects to work onprojectProjects that Stack Club members are working on, defined in the top comment and discussed thereafter

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