Open dkirkby opened 5 years ago
I think the best way to get this is:
DECam: https://portal.nersc.gov/project/cosmo/data/legacysurvey/dr8/survey-ccds-decam-dr8.fits.gz
Mosaic: https://portal.nersc.gov/project/cosmo/data/legacysurvey/dr8/survey-ccds-mosaic-dr8.fits.gz
90prime: https://portal.nersc.gov/project/cosmo/data/legacysurvey/dr8/survey-ccds-90prime-dr8.fits.gz
This has one file for each CCD; with a numpy.unique(ccds['image_filename'])
you can get the list of exposures. I recommmend for this application also including only CCDs with ccds['CCD_CUTS'] == 0
. The others are those which, for any one of a variety of reasons, we have not included in the main DR8 modeling, so it's less useful to find bad images among them.
I could also imagine making those other images with CCD_CUTS != 0 visible, but easily filtered out in the application.
We should add to this (perhaps at lower priority) the missing DES exposures, no?
Maybe at much lower priority? We're missing a lot outside the DESI footprint, but above dec = -20 we have everything. We were also able to get a file from the DES team for that marked many of the early DES exposures as bad; I still think we should try harder to get the equivalent file for the later DES exposures, rather than reinventing the wheel there.
@schlafly Where is the final list of DECaLs exposures that we should run this tool on?