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