Coverage for .test/JointcalTestCFHTMinimal/test_jointcalTask_2_visits_photometry/config/jointcal.py : 100%

import lsst.jointcal.jointcal 

assert type(config)==lsst.jointcal.jointcal.JointcalConfig, 'config is of type %s.%s instead of lsst.jointcal.jointcal.JointcalConfig' % (type(config).__module__, type(config).__name__) 

import lsst.meas.algorithms.sourceSelector 

import lsst.meas.algorithms.astrometrySourceSelector 

import lsst.meas.algorithms.flaggedSourceSelector 

import lsst.pipe.tasks.colorterms 

import lsst.meas.algorithms.objectSizeStarSelector 

import lsst.meas.algorithms.loadIndexedReferenceObjects 

import lsst.meas.algorithms.matcherSourceSelector 

# Fit astrometry and write the fitted result. 

config.doAstrometry=False 

# Fit photometry and write the fitted result. 

config.doPhotometry=True 

# Type of coadd, typically deep or goodSeeing 

config.coaddName='deep' 

# Systematic term to apply to the measured position error (pixels) 

config.positionErrorPedestal=0.02 

# Systematic term to apply to the measured error on flux or magnitude as a fraction of source flux or magnitude delta (e.g. 0.05 is 5% of flux or +50 millimag). 

config.photometryErrorPedestal=0.0 

# Matching radius between fitted and reference stars (arcseconds) 

config.matchCut=3.0 

# Minimum number of associated measured stars for a fitted star to be included in the fit 

config.minMeasurements=2 

# Minimum number of measuredStars per ccdImage before printing warnings 

config.minMeasuredStarsPerCcd=100 

# Minimum number of measuredStars per ccdImage before printing warnings 

config.minRefStarsPerCcd=30 

# Allow a line search during minimization, if it is reasonable for the model (models with a significant non-linear component, e.g. constrainedPhotometry). 

config.allowLineSearch=False 

# Polynomial order for fitting the simple astrometry model. 

config.astrometrySimpleOrder=3 

# Order of the per-chip transform for the constrained astrometry model. 

config.astrometryChipOrder=1 

# Order of the per-visit transform for the constrained astrometry model. 

config.astrometryVisitOrder=5 

# Use the input calexp WCSs to initialize a SimpleAstrometryModel. 

config.useInputWcs=True 

# Type of model to fit to astrometry 

config.astrometryModel='constrained' 

# Type of model to fit to photometry 

config.photometryModel='simpleFlux' 

# Apply photometric color terms to reference stars?Requires that colorterms be set to a ColortermLibrary 

config.applyColorTerms=False 

config.colorterms.data={} 

# Order of the per-visit polynomial transform for the constrained photometry model. 

config.photometryVisitOrder=7 

# Do the rank update step during minimization. Skipping this can help deal with models that are too non-linear. 

config.photometryDoRankUpdate=True 

# Do the rank update step during minimization (should not change the astrometry fit). Skipping this can help deal with models that are too non-linear. 

config.astrometryDoRankUpdate=True 

# How many sigma to reject outliers at during minimization. 

config.outlierRejectSigma=5.0 

# Maximum number of minimize iterations to take when fitting photometry. 

config.maxPhotometrySteps=20 

# Maximum number of minimize iterations to take when fitting photometry. 

config.maxAstrometrySteps=20 

# Padding to add to 4 all edges of the bounding box (pixels) 

config.astrometryRefObjLoader.pixelMargin=300 

# Default reference catalog filter to use if filter not specified in exposure; if blank then filter must be specified in exposure 

config.astrometryRefObjLoader.defaultFilter='' 

# Mapping of camera filter name: reference catalog filter name; each reference filter must exist 

config.astrometryRefObjLoader.filterMap={} 

# Require that the fields needed to correct proper motion (epoch, pm_ra and pm_dec) are present? 

config.astrometryRefObjLoader.requireProperMotion=False 

# Name of the ingested reference dataset 

config.astrometryRefObjLoader.ref_dataset_name='sdss-dr9-fink-v5b' 

# Padding to add to 4 all edges of the bounding box (pixels) 

config.photometryRefObjLoader.pixelMargin=300 

# Default reference catalog filter to use if filter not specified in exposure; if blank then filter must be specified in exposure 

config.photometryRefObjLoader.defaultFilter='' 

# Mapping of camera filter name: reference catalog filter name; each reference filter must exist 

config.photometryRefObjLoader.filterMap={} 

# Require that the fields needed to correct proper motion (epoch, pm_ra and pm_dec) are present? 

config.photometryRefObjLoader.requireProperMotion=False 

# Name of the ingested reference dataset 

config.photometryRefObjLoader.ref_dataset_name='sdss-dr9-fink-v5b' 

# Apply flux limit? 

config.sourceSelector['science'].doFluxLimit=False 

# Apply flag limitation? 

config.sourceSelector['science'].doFlags=False 

# Apply unresolved limitation? 

config.sourceSelector['science'].doUnresolved=False 

# Apply signal-to-noise limit? 

config.sourceSelector['science'].doSignalToNoise=False 

# Apply isolated limitation? 

config.sourceSelector['science'].doIsolated=False 

# Select objects with value greater than this 

config.sourceSelector['science'].fluxLimit.minimum=None 

# Select objects with value less than this 

config.sourceSelector['science'].fluxLimit.maximum=None 

# Name of the source flux field to use. 

config.sourceSelector['science'].fluxLimit.fluxField='slot_CalibFlux_instFlux' 

# List of source flag fields that must be set for a source to be used. 

config.sourceSelector['science'].flags.good=[] 

# List of source flag fields that must NOT be set for a source to be used. 

config.sourceSelector['science'].flags.bad=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_saturated', 'base_PsfFlux_flags'] 

# Select objects with value greater than this 

config.sourceSelector['science'].unresolved.minimum=None 

# Select objects with value less than this 

config.sourceSelector['science'].unresolved.maximum=0.5 

# Name of column for star/galaxy separation 

config.sourceSelector['science'].unresolved.name='base_ClassificationExtendedness_value' 

# Select objects with value greater than this 

config.sourceSelector['science'].signalToNoise.minimum=None 

# Select objects with value less than this 

config.sourceSelector['science'].signalToNoise.maximum=None 

# Name of the source flux field to use. 

config.sourceSelector['science'].signalToNoise.fluxField='base_PsfFlux_instFlux' 

# Name of the source flux error field to use. 

config.sourceSelector['science'].signalToNoise.errField='base_PsfFlux_instFluxErr' 

# Name of column for parent 

config.sourceSelector['science'].isolated.parentName='parent' 

# Name of column for nChild 

config.sourceSelector['science'].isolated.nChildName='deblend_nChild' 

# Apply magnitude limit? 

config.sourceSelector['references'].doMagLimit=False 

# Apply flag limitation? 

config.sourceSelector['references'].doFlags=False 

# Apply unresolved limitation? 

config.sourceSelector['references'].doUnresolved=False 

# Apply signal-to-noise limit? 

config.sourceSelector['references'].doSignalToNoise=False 

# Apply magnitude error limit? 

config.sourceSelector['references'].doMagError=False 

# Select objects with value greater than this 

config.sourceSelector['references'].magLimit.minimum=None 

# Select objects with value less than this 

config.sourceSelector['references'].magLimit.maximum=None 

# Name of the source flux field to use. 

config.sourceSelector['references'].magLimit.fluxField='flux' 

# List of source flag fields that must be set for a source to be used. 

config.sourceSelector['references'].flags.good=[] 

# List of source flag fields that must NOT be set for a source to be used. 

config.sourceSelector['references'].flags.bad=[] 

# Select objects with value greater than this 

config.sourceSelector['references'].unresolved.minimum=None 

# Select objects with value less than this 

config.sourceSelector['references'].unresolved.maximum=0.5 

# Name of column for star/galaxy separation 

config.sourceSelector['references'].unresolved.name='base_ClassificationExtendedness_value' 

# Select objects with value greater than this 

config.sourceSelector['references'].signalToNoise.minimum=None 

# Select objects with value less than this 

config.sourceSelector['references'].signalToNoise.maximum=None 

# Name of the source flux field to use. 

config.sourceSelector['references'].signalToNoise.fluxField='flux' 

# Name of the source flux error field to use. 

config.sourceSelector['references'].signalToNoise.errField='flux_err' 

# Select objects with value greater than this 

config.sourceSelector['references'].magError.minimum=None 

# Select objects with value less than this 

config.sourceSelector['references'].magError.maximum=None 

# Name of the source flux error field to use. 

config.sourceSelector['references'].magError.magErrField='mag_err' 

config.sourceSelector['references'].colorLimits={} 

# Apply flux limit to Psf Candidate selection? 

config.sourceSelector['objectSize'].doFluxLimit=True 

# specify the minimum psfFlux for good Psf Candidates 

config.sourceSelector['objectSize'].fluxMin=12500.0 

# specify the maximum psfFlux for good Psf Candidates (ignored if == 0) 

config.sourceSelector['objectSize'].fluxMax=0.0 

# Apply signal-to-noise (i.e. flux/fluxErr) limit to Psf Candidate selection? 

config.sourceSelector['objectSize'].doSignalToNoiseLimit=False 

# specify the minimum signal-to-noise for good Psf Candidates 

config.sourceSelector['objectSize'].signalToNoiseMin=20.0 

# specify the maximum signal-to-noise for good Psf Candidates (ignored if == 0) 

config.sourceSelector['objectSize'].signalToNoiseMax=0.0 

# minimum width to include in histogram 

config.sourceSelector['objectSize'].widthMin=0.0 

# maximum width to include in histogram 

config.sourceSelector['objectSize'].widthMax=10.0 

# Name of field in Source to use for flux measurement 

config.sourceSelector['objectSize'].sourceFluxField='base_GaussianFlux_instFlux' 

# Standard deviation of width allowed to be interpreted as good stars 

config.sourceSelector['objectSize'].widthStdAllowed=0.15 

# Keep objects within this many sigma of cluster 0's median 

config.sourceSelector['objectSize'].nSigmaClip=2.0 

# List of flags which cause a source to be rejected as bad 

config.sourceSelector['objectSize'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad', 'base_PixelFlags_flag_interpolated'] 

# Name of a flag field that is True for Sources that should be used. 

config.sourceSelector['flagged'].field='calib_psf_used' 

# List of flags which cause a source to be rejected as bad 

config.sourceSelector['astrometry'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad', 'slot_Shape_flag'] 

# Type of source flux; typically one of Ap or Psf 

config.sourceSelector['astrometry'].sourceFluxType='Calib' 

# Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit 

config.sourceSelector['astrometry'].minSnr=10.0 

# Type of source flux; typically one of Ap or Psf 

config.sourceSelector['matcher'].sourceFluxType='Ap' 

# Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit 

config.sourceSelector['matcher'].minSnr=40.0 

# Exclude objects that have saturated, interpolated, or edge pixels using PixelFlags. For matchOptimisticB set this to False to recover previous matcher selector behavior. 

config.sourceSelector['matcher'].excludePixelFlags=True 

config.sourceSelector.name='astrometry' 

# Apply magnitude limit? 

config.astrometryReferenceSelector.doMagLimit=False 

# Apply flag limitation? 

config.astrometryReferenceSelector.doFlags=False 

# Apply unresolved limitation? 

config.astrometryReferenceSelector.doUnresolved=False 

# Apply signal-to-noise limit? 

config.astrometryReferenceSelector.doSignalToNoise=False 

# Apply magnitude error limit? 

config.astrometryReferenceSelector.doMagError=False 

# Select objects with value greater than this 

config.astrometryReferenceSelector.magLimit.minimum=None 

# Select objects with value less than this 

config.astrometryReferenceSelector.magLimit.maximum=None 

# Name of the source flux field to use. 

config.astrometryReferenceSelector.magLimit.fluxField='flux' 

# List of source flag fields that must be set for a source to be used. 

config.astrometryReferenceSelector.flags.good=[] 

# List of source flag fields that must NOT be set for a source to be used. 

config.astrometryReferenceSelector.flags.bad=[] 

# Select objects with value greater than this 

config.astrometryReferenceSelector.unresolved.minimum=None 

# Select objects with value less than this 

config.astrometryReferenceSelector.unresolved.maximum=0.5 

# Name of column for star/galaxy separation 

config.astrometryReferenceSelector.unresolved.name='base_ClassificationExtendedness_value' 

# Select objects with value greater than this 

config.astrometryReferenceSelector.signalToNoise.minimum=None 

# Select objects with value less than this 

config.astrometryReferenceSelector.signalToNoise.maximum=None 

# Name of the source flux field to use. 

config.astrometryReferenceSelector.signalToNoise.fluxField='flux' 

# Name of the source flux error field to use. 

config.astrometryReferenceSelector.signalToNoise.errField='flux_err' 

# Select objects with value greater than this 

config.astrometryReferenceSelector.magError.minimum=None 

# Select objects with value less than this 

config.astrometryReferenceSelector.magError.maximum=None 

# Name of the source flux error field to use. 

config.astrometryReferenceSelector.magError.magErrField='mag_err' 

config.astrometryReferenceSelector.colorLimits={} 

# Apply magnitude limit? 

config.photometryReferenceSelector.doMagLimit=False 

# Apply flag limitation? 

config.photometryReferenceSelector.doFlags=False 

# Apply unresolved limitation? 

config.photometryReferenceSelector.doUnresolved=False 

# Apply signal-to-noise limit? 

config.photometryReferenceSelector.doSignalToNoise=False 

# Apply magnitude error limit? 

config.photometryReferenceSelector.doMagError=False 

# Select objects with value greater than this 

config.photometryReferenceSelector.magLimit.minimum=None 

# Select objects with value less than this 

config.photometryReferenceSelector.magLimit.maximum=None 

# Name of the source flux field to use. 

config.photometryReferenceSelector.magLimit.fluxField='flux' 

# List of source flag fields that must be set for a source to be used. 

config.photometryReferenceSelector.flags.good=[] 

# List of source flag fields that must NOT be set for a source to be used. 

config.photometryReferenceSelector.flags.bad=[] 

# Select objects with value greater than this 

config.photometryReferenceSelector.unresolved.minimum=None 

# Select objects with value less than this 

config.photometryReferenceSelector.unresolved.maximum=0.5 

# Name of column for star/galaxy separation 

config.photometryReferenceSelector.unresolved.name='base_ClassificationExtendedness_value' 

# Select objects with value greater than this 

config.photometryReferenceSelector.signalToNoise.minimum=None 

# Select objects with value less than this 

config.photometryReferenceSelector.signalToNoise.maximum=None 

# Name of the source flux field to use. 

config.photometryReferenceSelector.signalToNoise.fluxField='flux' 

# Name of the source flux error field to use. 

config.photometryReferenceSelector.signalToNoise.errField='flux_err' 

# Select objects with value greater than this 

config.photometryReferenceSelector.magError.minimum=None 

# Select objects with value less than this 

config.photometryReferenceSelector.magError.maximum=None 

# Name of the source flux error field to use. 

config.photometryReferenceSelector.magError.magErrField='mag_err' 

config.photometryReferenceSelector.colorLimits={} 

# Write the pre/post-initialization Hessian and gradient to text files, for debugging.The output files will be of the form 'astrometry_preinit-mat.txt', in the current directory.Note that these files are the dense versions of the matrix, and so may be very large. 

config.writeInitMatrix=True 

# Write .csv files containing the contributions to chi2 for the initialization and final fit. 

config.writeChi2FilesInitialFinal=False 

# Write .csv files containing the contributions to chi2 for the outer fit loop. 

config.writeChi2FilesOuterLoop=False 

# Source flux field to use in source selection and to get fluxes from the catalog. 

config.sourceFluxType='Calib'