Schema file of forced_src

Flags are stored in columns called flags. For example, if you want to see base_PixelFlags_flag_bad in python, you may want to do the following.

from astropy.io import fits
hdul=fits.open("forced_src-filter-tract-patch.fits")
hdul[1].data[“flags”][…,56-1]

# If the header describes TFLAG56 = ‘base_PixelFlags_flag_bad’.
# Subtract 1 from the number of lines because it starts with TFLAG1.

Schema forced_src

Name	Type	Doc
id	int64	unique ID
coord_ra	float64	position in ra/dec
coord_dec	float64	position in ra/dec
parent	int64	unique ID of parent source
deblend_nChild	int32	Number of children this object has (defaults to 0)
base_SdssCentroid_[x,y]	float64	centroid from Sdss Centroid algorithm
base_SdssCentroid_[x,y]Err	float64	1-sigma uncertainty on [x,y] position
base_TransformedCentroid_[x,y]	float64	transformed reference centroid [column,raw]
base_TransformedCentroid_flag	flag	whether the reference centroid is marked as bad
base_InputCount_value	float64	Number of images contributing at center, not including anyclipping
base_SdssShape_[xx,yy,xy]	float64	elliptical Gaussian adaptive moments
base_SdssShape_[xx,yy,xy]Err	float64	Standard deviation of [xx,yy,xy] moment
base_SdssShape_[x,y]	float64	elliptical Gaussian adaptive moments
base_SdssShape_instFlux	float64	instFlux uncertainty
base_SdssShape_instFluxErr	float64	1-sigma instFlux uncertainty
base_SdssShape_psf_[xx,yy,xy]	float64	adaptive moments of the PSF model at the object position
base_SdssShape_instFlux_[xx,yy,xy]_Cov	float64	uncertainty covariance between base_SdssShape_instFlux and base_SdssShape_xx
base_TransformedShape_[xx,yy,xy]	float64	transformed reference shape [x^2,y^2,xy] moment
base_TransformedShape_flag	flag	whether the reference shape is marked as bad
modelfit_DoubleShapeletPsfApprox_0_[xx,yy,xy,x,y,0,1,2,3,4,5]	float64	Double-Shapelet approximation to the PSF model at the position of this source
modelfit_DoubleShapeletPsfApprox_1_[xx,yy,xy,x,y,0,1,2]	float64	Double-Shapelet approximation to the PSF model at the position of this source
modelfit_DoubleShapeletPsfApprox_flag	flag	General Failure Flag
modelfit_DoubleShapeletPsfApprox_flag_invalidPointForPsf	flag	PSF model could not be evaluated at the source position
modelfit_DoubleShapeletPsfApprox_flag_invalidMoments	flag	Moments of the PSF model were not a valid ellipse
modelfit_DoubleShapeletPsfApprox_flag_maxIterations	flag	optimizer exceeded the maximum number (inner or outer) iterations
base_CircularApertureFlux_[3_0,4_5,6_0,9_0,12_0,17_0,25_0,35_0,50_0,70_0]_instFlux	float64	instFlux within [3.0,4.5,6.0,9.0,12,17,25,35,50,70]-pixel aperture
base_CircularApertureFlux_[3_0,4_5,6_0,9_0,12_0,17_0,25_0,35_0,50_0,70_0]_instFluxErr	float64	1-sigma flux uncertainty
base_GaussianFlux_flux	float64	flux from Gaussian Flux algorithm
base_GaussianFlux_fluxSigma	float64	1-sigma flux uncertainty
base_LocalBackground_instFlux	float64	background in annulus around source
base_LocalBackground_instFluxErr	float64	1-sigma instFlux uncertainty
base_PSFFlux_instFlux	float64	instFlux derived from linear least-squares fit of PSF model
base_PSFFlux_instFlux Err	float64	1-sigma instFlux uncertainty
base_PsfFlux_area	float64	effective area of PSF
base_Variance_value	float64	Variance at object position
ext_photometryKron_KronFlux_instflux	float64	flux from Kron Flux algorithm
ext_photometryKron_KronFlux_instfluxErr	float64	1-sigma instFlux uncertainty
ext_photometryKron_KronFlux_radius	float64	Kron radius (sqrt(a*b))
ext_photometryKron_KronFlux_radius_for_radius	float64	radius used to estimate <radius> (sqrt(a*b))
ext_photometryKron_KronFlux_psf_radius	float64	Radius of PSF
ext_convolved_ConvolvedFlux_seeing	float64	original seeing (Gaussian sigma) at position
ext_convolved_ConvolvedFlux_[3_0,4_5,6_0,9_0,12_0,17_0,25_0,35_0,50_0,70_0]_instFlux	float64	instFlux within [3.0,4.5,6.0,9.0,12,17,25,35,50,70]-pixel aperture
ext_convolved_ConvolvedFlux_[3_0,4_5,6_0,9_0,12_0,17_0,25_0,35_0,50_0,70_0]_instFluxErr	float64	1-sigma flux uncertainty
ext_convolved_ConvolvedFlux_[0,1,2,3]_kron_instFlux	float64	convolved Kron flux: seeing [3.500000,5.000000,6.500000,8.000000]
ext_convolved_ConvolvedFlux_[0,1,2,3]_kron_instFluxErr	float64	1-sigma flux uncertainty
modelfit_CModel_initial_instFlux	float64	flux from the initial fit
modelfit_CModel_initial_instFluxErr	float64	flux uncertainty from the initial fit
modelfit_CModel_initial_instFlux_inner	flag	flux within the fit region, with no extrapolation
modelfit_CModel_exp_instFlux	float64	flux from the exponential fit
modelfit_CModel_exp_instFluxErr	float64	flux uncertainty from the exponential fit
modelfit_CModel_exp_instFlux_inner	float64	flux within the fit region, with no extrapolation
modelfit_CModel_dev_instFlux	float64	flux from the de Vaucouleur fit
modelfit_CModel_dev_instFluxErr	float64	flux uncertainty from the de Vaucouleur fit
modelfit_CModel_dev_instFlux_inner	float64	flux within the fit region, with no extrapolation
modelfit_CModel_instFlux	float64	flux from the final cmodel fit
modelfit_CModel_instFluxErr	float64	flux uncertainty from the final cmodel
modelfit_CModel_instFlux_inner	float64	flux within the fit region, with no extrapolation
modelfit_CModel_fracDev	float64	fraction of flux in de Vaucouleur component
modelfit_CModel_objective	float64	-ln(likelihood) (chi^2) in cmodel fit
undeblended_base_CircularApertureFlux_[3_0,4_5,6_0,9_0,12_0,17_0,25_0,35_0,50_0,70_0]_flux	float64	flux within [3.0,4.5,6.0,9.0,12,17,25,35,50,70]-pixel aperture
undeblended_base_CircularApertureFlux_[3_0,4_5,6_0,9_0,12_0,17_0,25_0,35_0,50_0,70_0]_fluxSigma	float64	1-sigma flux uncertainty
undeblended_base_PsfFlux_instFlux	float64	flux derived from linear least-squares fit of PSF model
undeblended_base_PsfFlux_instFluxErr	float64	1-sigma flux uncertainty
undeblended_base_PsfFlux_area	float64	effective area of PSF
undeblended_ext_photometryKron_KronFlux_instFlux	float64	flux from Kron Flux algorithm
undeblended_ext_photometryKron_KronFlux_instFluxErr	float64	1-sigma flux uncertainty
undeblended_ext_photometryKron_KronFlux_radius	float32	Kron radius (sqrt(a*b))
undeblended_ext_photometryKron_KronFlux_radius_for_radius	float32	radius used to estimate <radius> (sqrt(a*b))
undeblended_ext_photometryKron_KronFlux_psf_radius	float32	Radius of PSF
ext_convolved_ConvolvedFlux_seeing	float32	original seeing (Gaussian sigma) at position
ext_convolved_ConvolvedFlux_[0,1,2,3]_[3_3,4_5,6_0]_instFlux	float64	flux within [3.300000,4.500000,6.000000]-pixel aperture
ext_convolved_ConvolvedFlux_[0,1,2,3]_[3_3,4_5,6_0]_instfluxErr	float64	1-sigma flux uncertainty
ext_convolved_ConvolvedFlux_[0,1,2,3]_kron_instFlux	float64	convolved Kron flux: seeing [3.500000,5.000000,6.500000,8.000000]
ext_convolved_ConvolvedFlux_[0,1,2,3]_kron_fluxSigma	float64	1-sigma flux uncertainty
base_GaussianFlux_apCorr	float64	aperture correction applied to base_GaussianFlux
base_GaussianFlux_apCorrErr	float64	standard deviation of aperture correction applied to base_GaussianFllux
base_PsfFlux_apCorr	float64	aperture correction applied to base_PsfFlux
base_PsfFlux_apCorrErr	float64	standard deviation of aperture correction applied to base_PsfFlux’
ext_convolved_ConvolvedFlux_[0,1,2,3]_kron_apCorr	float64	aperture correction applied to ext_convolved_ConvolvedFlux_[0,1,2,3]_kron
ext_convolved_ConvolvedFlux_[0,1,2,3]_kron_apCorrErr	float64	standard deviation of aperture correction applied to ext_convolved_ConvolvedFlux_[0,1,2,3]_kron
ext_convolved_ConvolvedFlux_[0,1,2,3]_[3_3,4_5,6_0]_apCorr	float64	aperture correction applied to ext_convolved_ConvolvedFlux_[0,1,2,3]_[3_3,4_5,6_0]
ext_convolved_ConvolvedFlux_[0,1,2,3]_[3_3,4_5,6_0]_apCorrErr	float64	standard deviation of aperture correction applied to ext_convolved_ConvolvedFlux_[0,1,2,3]_[3_3,4_5,6_0]
ext_photometryKron_KronFlux_apCorr	float64	aperture correction applied to ext_photometryKron_KronFlux
ext_photometryKron_KronFlux_apCorrErr	float64	standard deviation of aperture correction applied to ext_photometryKron_KronFlux
modelfit_CModel_apCorr	float64	aperture correction applied to modelfit_CModel
modelfit_CModel_apCorrErr	float64	standard deviation of aperture correction applied to modelfit_CModel
modelfit_CModel_dev_apCorr	float64	aperture correction applied to modelfit_CModel_dev
modelfit_CModel_dev_apCorrErr	float64	standard deviation of aperture correction applied to modelfit_CModel_dev
modelfit_CModel_exp_apCorr	float64	aperture correction applied to modelfit_CModel_exp
modelfit_CModel_exp_apCorrErr	float64	standard deviation of aperture correction applied to modelfit_CModel_exp
modelfit_CModel_initial_apCorr	float64	aperture correction applied to modelfit_CModel_initial
modelfit_CModel_initial_apCorrErr	float64	standard deviation of aperture correction applied to modelfit_CModel_initial
base_ClassificationExtendedness_value	float64	Set to 1 for extended sources, 0 for point sources.