Data Model: cer

General Description
cer catalogue files contain the CloudCovErr in addition to the crowdsource outputs for the exposure level processing. A CCD_CAT extension is present for each CCD present in the exposure. For most exposures, this is 62. Only S29_CAT is shown in the data model for clarity.
Naming Convention
EXPOSURE_NAME.cat.cer.fits, where the EXPOSURE_NAME is the name of the ooi file being processed.
Approximate Size
332 MB
File Type
FITS
Sections

HDU0: PRIMARY

Header that is a direct copy of the header for the exposure file from which this catalogue was generated. See ooi model.

HDU1: S29_CAT

Output catalogue from both crowdsource and CloudCovErr processing of a given CCD in the exposure.

HDU Type
BINARY TABLE
HDU Size
4 MB
Header Table
KeyValueComment
NAXIS22-dimensional binary table
NAXIS1184width of table in bytes
NAXIS223588number of rows in table (depends on number of detections/ccd)
TFIELDS38number of fields in each row
EXTNAMES29_CATname of this binary table extension
Data Table
NameTypeUnitDescription
Xfloat64pixelsx coordinate
Yfloat64pixelsy coordinate
FLUXfloat32ADUraw flux
PASSNOfloat64iteration at which source was found
DXfloat32pixelsx uncertainty
DYfloat32pixelsy uncertainty
DFLUXfloat32ADUflux uncertainty (statistical only)
QFfloat32"quality factor" based on PSF-weighted fraction of pixels contributing to the detection. 0 < qf <1 ranges bad < qf < good
RCHI2float32average \(\chi^2\) per pixel, weighted by PSF
FRACFLUXfloat32fraction of flux in this object's PSF that comes from this object
FLUXLBSfloat32[DEFUNCT] flux with attempt at local background subtraction (Backwards compatability only)
DFLUXLBSfloat32[DEFUNCT] fluxlbs uncertainty (Backwards compatability only)
FWHMfloat32pixelsfull-width at half-maximum of PSF
SPREAD_MODELfloat32sextractor-like spread_model; positive means the source is broader than a PSF
DSPREAD_MODELfloat32uncertainty in sextractor spread_model
FLUXISOfloat32ADUflux derived from linear least squares fit to neighbor-subtracted image; significant difference from ordinary flux indicates a convergence issue
XISOfloat64pixelsx coordinate derived from linear least squares fit to neighbor-subtracted image; significant difference from ordinary x indicates a convergence issue
YISOfloat64pixelsy coordinate derived from linear least squares fit to neighbor-subtracted image; significant difference from ordinary y indicates a convergence issue
FLAGSint32DECam Community Pipeline flags at central pixel from upstream image processing
SKYfloat32ADUsky level at central pixel
RAfloat64degreeright ascension
DECfloat64degreedeclination
DECAPSIDint64unique object id (internal to each data release)
GAINfloat32e-/ADUemperical gain (counts times inverse variance)
PRNfloat32probability central pixel in "nebulosity" class
PRLfloat32probability central pixel in "light nebulosity" class
PRRfloat32probability central pixel in "regular" class
PREfloat32probability central pixel in "error" class
DCFLUXfloat32ADU[CloudCovErr] flux uncertainty (using full background covariance)
DCFLUX_DIAGfloat32ADU[CloudCovErr] flux uncertainty (using diagonal covariance)
CFLUXfloat32ADU[CloudCovErr] background-corrected flux
FDB_RESfloat32ADU[CloudCovErr] bias offset from residuals
FDB_PREDfloat32ADU[CloudCovErr] bias offset from predicted background
CCHI2float32[CloudCovErr] \(\chi^2\) of predicted background evaluated for "good" pixels
KCOND0float32[CloudCovErr] initial number of "good" pixels (representative of true background)
KCONDfloat32[CloudCovErr] final number of "good" pixels (representative of true background)
KPREDfloat32[CloudCovErr] number of "hidden" pixels (background interpolation region)
DNTfloat32[CloudCovErr] bitmask on corrected flux solution

Examples

An example cer catalogue file is linked here: c4d_190131_083848_ooi_i_v1.cat.cer.fits

Note that some of the catalogue outputs are saved as types that are overkill.