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.flaggedSourceSelector import lsst.meas.algorithms.sourceSelector import lsst.pipe.tasks.colorterms import lsst.meas.algorithms.matcherSourceSelector import lsst.meas.algorithms.objectSizeStarSelector import lsst.meas.algorithms.loadIndexedReferenceObjects import lsst.meas.algorithms.astrometrySourceSelector # Fit astrometry and write the fitted result. config.doAstrometry=True # 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=7 # 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='constrainedMagnitude' # Apply photometric color terms to reference stars?Requires that colorterms be set to a ColortermLibrary config.applyColorTerms=True config.colorterms.data={} config.colorterms.data['hsc*']=lsst.pipe.tasks.colorterms.ColortermDict() config.colorterms.data['hsc*'].data={} config.colorterms.data['hsc*'].data['g']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['g'].primary='g' # name of secondary filter config.colorterms.data['hsc*'].data['g'].secondary='g' # Constant parameter config.colorterms.data['hsc*'].data['g'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['g'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['g'].c2=0.0 config.colorterms.data['hsc*'].data['r']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['r'].primary='r' # name of secondary filter config.colorterms.data['hsc*'].data['r'].secondary='r' # Constant parameter config.colorterms.data['hsc*'].data['r'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['r'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['r'].c2=0.0 config.colorterms.data['hsc*'].data['i']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['i'].primary='i' # name of secondary filter config.colorterms.data['hsc*'].data['i'].secondary='i' # Constant parameter config.colorterms.data['hsc*'].data['i'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['i'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['i'].c2=0.0 config.colorterms.data['hsc*'].data['z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['z'].primary='z' # name of secondary filter config.colorterms.data['hsc*'].data['z'].secondary='z' # Constant parameter config.colorterms.data['hsc*'].data['z'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['z'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['z'].c2=0.0 config.colorterms.data['hsc*'].data['y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['y'].primary='y' # name of secondary filter config.colorterms.data['hsc*'].data['y'].secondary='y' # Constant parameter config.colorterms.data['hsc*'].data['y'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['y'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['y'].c2=0.0 config.colorterms.data['hsc*'].data['HSC-G']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['HSC-G'].primary='g' # name of secondary filter config.colorterms.data['hsc*'].data['HSC-G'].secondary='g' # Constant parameter config.colorterms.data['hsc*'].data['HSC-G'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['HSC-G'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['HSC-G'].c2=0.0 config.colorterms.data['hsc*'].data['HSC-R']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['HSC-R'].primary='r' # name of secondary filter config.colorterms.data['hsc*'].data['HSC-R'].secondary='r' # Constant parameter config.colorterms.data['hsc*'].data['HSC-R'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['HSC-R'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['HSC-R'].c2=0.0 config.colorterms.data['hsc*'].data['HSC-I']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['HSC-I'].primary='i' # name of secondary filter config.colorterms.data['hsc*'].data['HSC-I'].secondary='i' # Constant parameter config.colorterms.data['hsc*'].data['HSC-I'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['HSC-I'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['HSC-I'].c2=0.0 config.colorterms.data['hsc*'].data['HSC-Z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['HSC-Z'].primary='z' # name of secondary filter config.colorterms.data['hsc*'].data['HSC-Z'].secondary='z' # Constant parameter config.colorterms.data['hsc*'].data['HSC-Z'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['HSC-Z'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['HSC-Z'].c2=0.0 config.colorterms.data['hsc*'].data['HSC-Y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['hsc*'].data['HSC-Y'].primary='y' # name of secondary filter config.colorterms.data['hsc*'].data['HSC-Y'].secondary='y' # Constant parameter config.colorterms.data['hsc*'].data['HSC-Y'].c0=0.0 # First-order parameter config.colorterms.data['hsc*'].data['HSC-Y'].c1=0.0 # Second-order parameter config.colorterms.data['hsc*'].data['HSC-Y'].c2=0.0 config.colorterms.data['sdss*']=lsst.pipe.tasks.colorterms.ColortermDict() config.colorterms.data['sdss*'].data={} config.colorterms.data['sdss*'].data['g']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['g'].primary='g' # name of secondary filter config.colorterms.data['sdss*'].data['g'].secondary='r' # Constant parameter config.colorterms.data['sdss*'].data['g'].c0=-0.009777 # First-order parameter config.colorterms.data['sdss*'].data['g'].c1=-0.077235 # Second-order parameter config.colorterms.data['sdss*'].data['g'].c2=-0.013121 config.colorterms.data['sdss*'].data['r']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['r'].primary='r' # name of secondary filter config.colorterms.data['sdss*'].data['r'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['r'].c0=-0.000711 # First-order parameter config.colorterms.data['sdss*'].data['r'].c1=-0.006847 # Second-order parameter config.colorterms.data['sdss*'].data['r'].c2=-0.03511 config.colorterms.data['sdss*'].data['r2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['r2'].primary='r' # name of secondary filter config.colorterms.data['sdss*'].data['r2'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['r2'].c0=-0.000632 # First-order parameter config.colorterms.data['sdss*'].data['r2'].c1=-0.011237 # Second-order parameter config.colorterms.data['sdss*'].data['r2'].c2=-0.038169 config.colorterms.data['sdss*'].data['i']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['i'].primary='i' # name of secondary filter config.colorterms.data['sdss*'].data['i'].secondary='z' # Constant parameter config.colorterms.data['sdss*'].data['i'].c0=0.000357 # First-order parameter config.colorterms.data['sdss*'].data['i'].c1=-0.15329 # Second-order parameter config.colorterms.data['sdss*'].data['i'].c2=-0.009277 config.colorterms.data['sdss*'].data['i2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['i2'].primary='i' # name of secondary filter config.colorterms.data['sdss*'].data['i2'].secondary='z' # Constant parameter config.colorterms.data['sdss*'].data['i2'].c0=0.001278 # First-order parameter config.colorterms.data['sdss*'].data['i2'].c1=-0.213569 # Second-order parameter config.colorterms.data['sdss*'].data['i2'].c2=-0.012523 config.colorterms.data['sdss*'].data['z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['z'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['z'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['z'].c0=-0.005761 # First-order parameter config.colorterms.data['sdss*'].data['z'].c1=0.001317 # Second-order parameter config.colorterms.data['sdss*'].data['z'].c2=-0.035334 config.colorterms.data['sdss*'].data['y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['y'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['y'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['y'].c0=0.003386 # First-order parameter config.colorterms.data['sdss*'].data['y'].c1=0.428877 # Second-order parameter config.colorterms.data['sdss*'].data['y'].c2=0.076738 config.colorterms.data['sdss*'].data['I945']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['I945'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['I945'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['I945'].c0=0.008117 # First-order parameter config.colorterms.data['sdss*'].data['I945'].c1=0.234991 # Second-order parameter config.colorterms.data['sdss*'].data['I945'].c2=-0.042255 config.colorterms.data['sdss*'].data['N387']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N387'].primary='u' # name of secondary filter config.colorterms.data['sdss*'].data['N387'].secondary='g' # Constant parameter config.colorterms.data['sdss*'].data['N387'].c0=-0.709229 # First-order parameter config.colorterms.data['sdss*'].data['N387'].c1=0.310719 # Second-order parameter config.colorterms.data['sdss*'].data['N387'].c2=-0.044107 config.colorterms.data['sdss*'].data['N400']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N400'].primary='u' # name of secondary filter config.colorterms.data['sdss*'].data['N400'].secondary='g' # Constant parameter config.colorterms.data['sdss*'].data['N400'].c0=-0.396264 # First-order parameter config.colorterms.data['sdss*'].data['N400'].c1=-0.395133 # Second-order parameter config.colorterms.data['sdss*'].data['N400'].c2=0.038688 config.colorterms.data['sdss*'].data['N468']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N468'].primary='g' # name of secondary filter config.colorterms.data['sdss*'].data['N468'].secondary='r' # Constant parameter config.colorterms.data['sdss*'].data['N468'].c0=-0.059159 # First-order parameter config.colorterms.data['sdss*'].data['N468'].c1=-0.030881 # Second-order parameter config.colorterms.data['sdss*'].data['N468'].c2=0.015356 config.colorterms.data['sdss*'].data['N515']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N515'].primary='g' # name of secondary filter config.colorterms.data['sdss*'].data['N515'].secondary='r' # Constant parameter config.colorterms.data['sdss*'].data['N515'].c0=-0.03251 # First-order parameter config.colorterms.data['sdss*'].data['N515'].c1=-0.35444 # Second-order parameter config.colorterms.data['sdss*'].data['N515'].c2=0.100832 config.colorterms.data['sdss*'].data['N527']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N527'].primary='g' # name of secondary filter config.colorterms.data['sdss*'].data['N527'].secondary='r' # Constant parameter config.colorterms.data['sdss*'].data['N527'].c0=-0.0294 # First-order parameter config.colorterms.data['sdss*'].data['N527'].c1=-0.453037 # Second-order parameter config.colorterms.data['sdss*'].data['N527'].c2=0.020922 config.colorterms.data['sdss*'].data['N656']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N656'].primary='r' # name of secondary filter config.colorterms.data['sdss*'].data['N656'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['N656'].c0=0.037014 # First-order parameter config.colorterms.data['sdss*'].data['N656'].c1=-0.538947 # Second-order parameter config.colorterms.data['sdss*'].data['N656'].c2=0.052489 config.colorterms.data['sdss*'].data['N718']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N718'].primary='r' # name of secondary filter config.colorterms.data['sdss*'].data['N718'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['N718'].c0=-0.014742 # First-order parameter config.colorterms.data['sdss*'].data['N718'].c1=-0.787571 # Second-order parameter config.colorterms.data['sdss*'].data['N718'].c2=0.237867 config.colorterms.data['sdss*'].data['N816']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N816'].primary='i' # name of secondary filter config.colorterms.data['sdss*'].data['N816'].secondary='z' # Constant parameter config.colorterms.data['sdss*'].data['N816'].c0=0.012676 # First-order parameter config.colorterms.data['sdss*'].data['N816'].c1=-0.660317 # Second-order parameter config.colorterms.data['sdss*'].data['N816'].c2=0.055566 config.colorterms.data['sdss*'].data['N921']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N921'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['N921'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['N921'].c0=0.004619 # First-order parameter config.colorterms.data['sdss*'].data['N921'].c1=0.093019 # Second-order parameter config.colorterms.data['sdss*'].data['N921'].c2=-0.126377 config.colorterms.data['sdss*'].data['N926']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N926'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['N926'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['N926'].c0=0.009369 # First-order parameter config.colorterms.data['sdss*'].data['N926'].c1=0.130261 # Second-order parameter config.colorterms.data['sdss*'].data['N926'].c2=-0.119282 config.colorterms.data['sdss*'].data['N973']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N973'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['N973'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['N973'].c0=-0.005805 # First-order parameter config.colorterms.data['sdss*'].data['N973'].c1=0.220412 # Second-order parameter config.colorterms.data['sdss*'].data['N973'].c2=-0.249072 config.colorterms.data['sdss*'].data['N1010']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['N1010'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['N1010'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['N1010'].c0=0.015296 # First-order parameter config.colorterms.data['sdss*'].data['N1010'].c1=0.794152 # Second-order parameter config.colorterms.data['sdss*'].data['N1010'].c2=0.465309 config.colorterms.data['sdss*'].data['HSC-G']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['HSC-G'].primary='g' # name of secondary filter config.colorterms.data['sdss*'].data['HSC-G'].secondary='r' # Constant parameter config.colorterms.data['sdss*'].data['HSC-G'].c0=-0.009777 # First-order parameter config.colorterms.data['sdss*'].data['HSC-G'].c1=-0.077235 # Second-order parameter config.colorterms.data['sdss*'].data['HSC-G'].c2=-0.013121 config.colorterms.data['sdss*'].data['HSC-R']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['HSC-R'].primary='r' # name of secondary filter config.colorterms.data['sdss*'].data['HSC-R'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['HSC-R'].c0=-0.000711 # First-order parameter config.colorterms.data['sdss*'].data['HSC-R'].c1=-0.006847 # Second-order parameter config.colorterms.data['sdss*'].data['HSC-R'].c2=-0.03511 config.colorterms.data['sdss*'].data['HSC-R2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['HSC-R2'].primary='r' # name of secondary filter config.colorterms.data['sdss*'].data['HSC-R2'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['HSC-R2'].c0=-0.000632 # First-order parameter config.colorterms.data['sdss*'].data['HSC-R2'].c1=-0.011237 # Second-order parameter config.colorterms.data['sdss*'].data['HSC-R2'].c2=-0.038169 config.colorterms.data['sdss*'].data['HSC-I']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['HSC-I'].primary='i' # name of secondary filter config.colorterms.data['sdss*'].data['HSC-I'].secondary='z' # Constant parameter config.colorterms.data['sdss*'].data['HSC-I'].c0=0.000357 # First-order parameter config.colorterms.data['sdss*'].data['HSC-I'].c1=-0.15329 # Second-order parameter config.colorterms.data['sdss*'].data['HSC-I'].c2=-0.009277 config.colorterms.data['sdss*'].data['HSC-I2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['HSC-I2'].primary='i' # name of secondary filter config.colorterms.data['sdss*'].data['HSC-I2'].secondary='z' # Constant parameter config.colorterms.data['sdss*'].data['HSC-I2'].c0=0.001278 # First-order parameter config.colorterms.data['sdss*'].data['HSC-I2'].c1=-0.213569 # Second-order parameter config.colorterms.data['sdss*'].data['HSC-I2'].c2=-0.012523 config.colorterms.data['sdss*'].data['HSC-Z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['HSC-Z'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['HSC-Z'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['HSC-Z'].c0=-0.005761 # First-order parameter config.colorterms.data['sdss*'].data['HSC-Z'].c1=0.001317 # Second-order parameter config.colorterms.data['sdss*'].data['HSC-Z'].c2=-0.035334 config.colorterms.data['sdss*'].data['HSC-y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['HSC-y'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['HSC-y'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['HSC-y'].c0=0.003386 # First-order parameter config.colorterms.data['sdss*'].data['HSC-y'].c1=0.428877 # Second-order parameter config.colorterms.data['sdss*'].data['HSC-y'].c2=0.076738 config.colorterms.data['sdss*'].data['IB0945']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['IB0945'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['IB0945'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['IB0945'].c0=0.008117 # First-order parameter config.colorterms.data['sdss*'].data['IB0945'].c1=0.234991 # Second-order parameter config.colorterms.data['sdss*'].data['IB0945'].c2=-0.042255 config.colorterms.data['sdss*'].data['NB0387']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0387'].primary='u' # name of secondary filter config.colorterms.data['sdss*'].data['NB0387'].secondary='g' # Constant parameter config.colorterms.data['sdss*'].data['NB0387'].c0=-0.709229 # First-order parameter config.colorterms.data['sdss*'].data['NB0387'].c1=0.310719 # Second-order parameter config.colorterms.data['sdss*'].data['NB0387'].c2=-0.044107 config.colorterms.data['sdss*'].data['NB0400']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0400'].primary='u' # name of secondary filter config.colorterms.data['sdss*'].data['NB0400'].secondary='g' # Constant parameter config.colorterms.data['sdss*'].data['NB0400'].c0=-0.396264 # First-order parameter config.colorterms.data['sdss*'].data['NB0400'].c1=-0.395133 # Second-order parameter config.colorterms.data['sdss*'].data['NB0400'].c2=0.038688 config.colorterms.data['sdss*'].data['NB0468']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0468'].primary='g' # name of secondary filter config.colorterms.data['sdss*'].data['NB0468'].secondary='r' # Constant parameter config.colorterms.data['sdss*'].data['NB0468'].c0=-0.059159 # First-order parameter config.colorterms.data['sdss*'].data['NB0468'].c1=-0.030881 # Second-order parameter config.colorterms.data['sdss*'].data['NB0468'].c2=0.015356 config.colorterms.data['sdss*'].data['NB0515']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0515'].primary='g' # name of secondary filter config.colorterms.data['sdss*'].data['NB0515'].secondary='r' # Constant parameter config.colorterms.data['sdss*'].data['NB0515'].c0=-0.03251 # First-order parameter config.colorterms.data['sdss*'].data['NB0515'].c1=-0.35444 # Second-order parameter config.colorterms.data['sdss*'].data['NB0515'].c2=0.100832 config.colorterms.data['sdss*'].data['NB0527']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0527'].primary='g' # name of secondary filter config.colorterms.data['sdss*'].data['NB0527'].secondary='r' # Constant parameter config.colorterms.data['sdss*'].data['NB0527'].c0=-0.0294 # First-order parameter config.colorterms.data['sdss*'].data['NB0527'].c1=-0.453037 # Second-order parameter config.colorterms.data['sdss*'].data['NB0527'].c2=0.020922 config.colorterms.data['sdss*'].data['NB0656']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0656'].primary='r' # name of secondary filter config.colorterms.data['sdss*'].data['NB0656'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['NB0656'].c0=0.037014 # First-order parameter config.colorterms.data['sdss*'].data['NB0656'].c1=-0.538947 # Second-order parameter config.colorterms.data['sdss*'].data['NB0656'].c2=0.052489 config.colorterms.data['sdss*'].data['NB0718']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0718'].primary='r' # name of secondary filter config.colorterms.data['sdss*'].data['NB0718'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['NB0718'].c0=-0.014742 # First-order parameter config.colorterms.data['sdss*'].data['NB0718'].c1=-0.787571 # Second-order parameter config.colorterms.data['sdss*'].data['NB0718'].c2=0.237867 config.colorterms.data['sdss*'].data['NB0816']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0816'].primary='i' # name of secondary filter config.colorterms.data['sdss*'].data['NB0816'].secondary='z' # Constant parameter config.colorterms.data['sdss*'].data['NB0816'].c0=0.012676 # First-order parameter config.colorterms.data['sdss*'].data['NB0816'].c1=-0.660317 # Second-order parameter config.colorterms.data['sdss*'].data['NB0816'].c2=0.055566 config.colorterms.data['sdss*'].data['NB0921']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0921'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['NB0921'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['NB0921'].c0=0.004619 # First-order parameter config.colorterms.data['sdss*'].data['NB0921'].c1=0.093019 # Second-order parameter config.colorterms.data['sdss*'].data['NB0921'].c2=-0.126377 config.colorterms.data['sdss*'].data['NB0926']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0926'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['NB0926'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['NB0926'].c0=0.009369 # First-order parameter config.colorterms.data['sdss*'].data['NB0926'].c1=0.130261 # Second-order parameter config.colorterms.data['sdss*'].data['NB0926'].c2=-0.119282 config.colorterms.data['sdss*'].data['NB0973']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB0973'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['NB0973'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['NB0973'].c0=-0.005805 # First-order parameter config.colorterms.data['sdss*'].data['NB0973'].c1=0.220412 # Second-order parameter config.colorterms.data['sdss*'].data['NB0973'].c2=-0.249072 config.colorterms.data['sdss*'].data['NB01010']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['sdss*'].data['NB01010'].primary='z' # name of secondary filter config.colorterms.data['sdss*'].data['NB01010'].secondary='i' # Constant parameter config.colorterms.data['sdss*'].data['NB01010'].c0=0.015296 # First-order parameter config.colorterms.data['sdss*'].data['NB01010'].c1=0.794152 # Second-order parameter config.colorterms.data['sdss*'].data['NB01010'].c2=0.465309 config.colorterms.data['ps1*']=lsst.pipe.tasks.colorterms.ColortermDict() config.colorterms.data['ps1*'].data={} config.colorterms.data['ps1*'].data['g']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['g'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['g'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['g'].c0=0.005728 # First-order parameter config.colorterms.data['ps1*'].data['g'].c1=0.061749 # Second-order parameter config.colorterms.data['ps1*'].data['g'].c2=-0.001125 config.colorterms.data['ps1*'].data['r']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['r'].primary='r' # name of secondary filter config.colorterms.data['ps1*'].data['r'].secondary='i' # Constant parameter config.colorterms.data['ps1*'].data['r'].c0=-0.000144 # First-order parameter config.colorterms.data['ps1*'].data['r'].c1=0.001369 # Second-order parameter config.colorterms.data['ps1*'].data['r'].c2=-0.00838 config.colorterms.data['ps1*'].data['r2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['r2'].primary='r' # name of secondary filter config.colorterms.data['ps1*'].data['r2'].secondary='i' # Constant parameter config.colorterms.data['ps1*'].data['r2'].c0=-3.2e-05 # First-order parameter config.colorterms.data['ps1*'].data['r2'].c1=-0.002866 # Second-order parameter config.colorterms.data['ps1*'].data['r2'].c2=-0.012638 config.colorterms.data['ps1*'].data['i']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['i'].primary='i' # name of secondary filter config.colorterms.data['ps1*'].data['i'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['i'].c0=0.000643 # First-order parameter config.colorterms.data['ps1*'].data['i'].c1=-0.130078 # Second-order parameter config.colorterms.data['ps1*'].data['i'].c2=-0.006855 config.colorterms.data['ps1*'].data['i2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['i2'].primary='i' # name of secondary filter config.colorterms.data['ps1*'].data['i2'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['i2'].c0=0.001625 # First-order parameter config.colorterms.data['ps1*'].data['i2'].c1=-0.200406 # Second-order parameter config.colorterms.data['ps1*'].data['i2'].c2=-0.013666 config.colorterms.data['ps1*'].data['z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['z'].primary='z' # name of secondary filter config.colorterms.data['ps1*'].data['z'].secondary='y' # Constant parameter config.colorterms.data['ps1*'].data['z'].c0=-0.005362 # First-order parameter config.colorterms.data['ps1*'].data['z'].c1=-0.221551 # Second-order parameter config.colorterms.data['ps1*'].data['z'].c2=-0.308279 config.colorterms.data['ps1*'].data['y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['y'].primary='y' # name of secondary filter config.colorterms.data['ps1*'].data['y'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['y'].c0=-0.002055 # First-order parameter config.colorterms.data['ps1*'].data['y'].c1=0.20968 # Second-order parameter config.colorterms.data['ps1*'].data['y'].c2=0.227296 config.colorterms.data['ps1*'].data['I945']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['I945'].primary='y' # name of secondary filter config.colorterms.data['ps1*'].data['I945'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['I945'].c0=0.005275 # First-order parameter config.colorterms.data['ps1*'].data['I945'].c1=-0.194285 # Second-order parameter config.colorterms.data['ps1*'].data['I945'].c2=-0.125424 config.colorterms.data['ps1*'].data['N387']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N387'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['N387'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['N387'].c0=0.427879 # First-order parameter config.colorterms.data['ps1*'].data['N387'].c1=1.869068 # Second-order parameter config.colorterms.data['ps1*'].data['N387'].c2=0.54058 config.colorterms.data['ps1*'].data['N400']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N400'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['N400'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['N400'].c0=0.176542 # First-order parameter config.colorterms.data['ps1*'].data['N400'].c1=1.127055 # Second-order parameter config.colorterms.data['ps1*'].data['N400'].c2=0.505502 config.colorterms.data['ps1*'].data['N468']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N468'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['N468'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['N468'].c0=-0.04224 # First-order parameter config.colorterms.data['ps1*'].data['N468'].c1=0.121756 # Second-order parameter config.colorterms.data['ps1*'].data['N468'].c2=0.027599 config.colorterms.data['ps1*'].data['N515']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N515'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['N515'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['N515'].c0=-0.021913 # First-order parameter config.colorterms.data['ps1*'].data['N515'].c1=-0.253159 # Second-order parameter config.colorterms.data['ps1*'].data['N515'].c2=0.151553 config.colorterms.data['ps1*'].data['N527']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N527'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['N527'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['N527'].c0=-0.020641 # First-order parameter config.colorterms.data['ps1*'].data['N527'].c1=-0.366167 # Second-order parameter config.colorterms.data['ps1*'].data['N527'].c2=0.038497 config.colorterms.data['ps1*'].data['N656']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N656'].primary='r' # name of secondary filter config.colorterms.data['ps1*'].data['N656'].secondary='i' # Constant parameter config.colorterms.data['ps1*'].data['N656'].c0=0.035655 # First-order parameter config.colorterms.data['ps1*'].data['N656'].c1=-0.512046 # Second-order parameter config.colorterms.data['ps1*'].data['N656'].c2=0.042796 config.colorterms.data['ps1*'].data['N718']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N718'].primary='i' # name of secondary filter config.colorterms.data['ps1*'].data['N718'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['N718'].c0=-0.016294 # First-order parameter config.colorterms.data['ps1*'].data['N718'].c1=-0.233139 # Second-order parameter config.colorterms.data['ps1*'].data['N718'].c2=0.252505 config.colorterms.data['ps1*'].data['N816']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N816'].primary='i' # name of secondary filter config.colorterms.data['ps1*'].data['N816'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['N816'].c0=0.013806 # First-order parameter config.colorterms.data['ps1*'].data['N816'].c1=-0.717681 # Second-order parameter config.colorterms.data['ps1*'].data['N816'].c2=0.049289 config.colorterms.data['ps1*'].data['N921']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N921'].primary='z' # name of secondary filter config.colorterms.data['ps1*'].data['N921'].secondary='y' # Constant parameter config.colorterms.data['ps1*'].data['N921'].c0=0.002039 # First-order parameter config.colorterms.data['ps1*'].data['N921'].c1=-0.477412 # Second-order parameter config.colorterms.data['ps1*'].data['N921'].c2=-0.492151 config.colorterms.data['ps1*'].data['N926']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N926'].primary='z' # name of secondary filter config.colorterms.data['ps1*'].data['N926'].secondary='y' # Constant parameter config.colorterms.data['ps1*'].data['N926'].c0=0.00523 # First-order parameter config.colorterms.data['ps1*'].data['N926'].c1=-0.574448 # Second-order parameter config.colorterms.data['ps1*'].data['N926'].c2=-0.330899 config.colorterms.data['ps1*'].data['N973']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N973'].primary='y' # name of secondary filter config.colorterms.data['ps1*'].data['N973'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['N973'].c0=-0.007775 # First-order parameter config.colorterms.data['ps1*'].data['N973'].c1=-0.050972 # Second-order parameter config.colorterms.data['ps1*'].data['N973'].c2=-0.197278 config.colorterms.data['ps1*'].data['N1010']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['N1010'].primary='y' # name of secondary filter config.colorterms.data['ps1*'].data['N1010'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['N1010'].c0=0.003607 # First-order parameter config.colorterms.data['ps1*'].data['N1010'].c1=0.865366 # Second-order parameter config.colorterms.data['ps1*'].data['N1010'].c2=1.271817 config.colorterms.data['ps1*'].data['HSC-G']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['HSC-G'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['HSC-G'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['HSC-G'].c0=0.005728 # First-order parameter config.colorterms.data['ps1*'].data['HSC-G'].c1=0.061749 # Second-order parameter config.colorterms.data['ps1*'].data['HSC-G'].c2=-0.001125 config.colorterms.data['ps1*'].data['HSC-R']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['HSC-R'].primary='r' # name of secondary filter config.colorterms.data['ps1*'].data['HSC-R'].secondary='i' # Constant parameter config.colorterms.data['ps1*'].data['HSC-R'].c0=-0.000144 # First-order parameter config.colorterms.data['ps1*'].data['HSC-R'].c1=0.001369 # Second-order parameter config.colorterms.data['ps1*'].data['HSC-R'].c2=-0.00838 config.colorterms.data['ps1*'].data['HSC-R2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['HSC-R2'].primary='r' # name of secondary filter config.colorterms.data['ps1*'].data['HSC-R2'].secondary='i' # Constant parameter config.colorterms.data['ps1*'].data['HSC-R2'].c0=-3.2e-05 # First-order parameter config.colorterms.data['ps1*'].data['HSC-R2'].c1=-0.002866 # Second-order parameter config.colorterms.data['ps1*'].data['HSC-R2'].c2=-0.012638 config.colorterms.data['ps1*'].data['HSC-I']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['HSC-I'].primary='i' # name of secondary filter config.colorterms.data['ps1*'].data['HSC-I'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['HSC-I'].c0=0.000643 # First-order parameter config.colorterms.data['ps1*'].data['HSC-I'].c1=-0.130078 # Second-order parameter config.colorterms.data['ps1*'].data['HSC-I'].c2=-0.006855 config.colorterms.data['ps1*'].data['HSC-I2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['HSC-I2'].primary='i' # name of secondary filter config.colorterms.data['ps1*'].data['HSC-I2'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['HSC-I2'].c0=0.001625 # First-order parameter config.colorterms.data['ps1*'].data['HSC-I2'].c1=-0.200406 # Second-order parameter config.colorterms.data['ps1*'].data['HSC-I2'].c2=-0.013666 config.colorterms.data['ps1*'].data['HSC-Z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['HSC-Z'].primary='z' # name of secondary filter config.colorterms.data['ps1*'].data['HSC-Z'].secondary='y' # Constant parameter config.colorterms.data['ps1*'].data['HSC-Z'].c0=-0.005362 # First-order parameter config.colorterms.data['ps1*'].data['HSC-Z'].c1=-0.221551 # Second-order parameter config.colorterms.data['ps1*'].data['HSC-Z'].c2=-0.308279 config.colorterms.data['ps1*'].data['HSC-Y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['HSC-Y'].primary='y' # name of secondary filter config.colorterms.data['ps1*'].data['HSC-Y'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['HSC-Y'].c0=-0.002055 # First-order parameter config.colorterms.data['ps1*'].data['HSC-Y'].c1=0.20968 # Second-order parameter config.colorterms.data['ps1*'].data['HSC-Y'].c2=0.227296 config.colorterms.data['ps1*'].data['IB0945']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['IB0945'].primary='y' # name of secondary filter config.colorterms.data['ps1*'].data['IB0945'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['IB0945'].c0=0.005275 # First-order parameter config.colorterms.data['ps1*'].data['IB0945'].c1=-0.194285 # Second-order parameter config.colorterms.data['ps1*'].data['IB0945'].c2=-0.125424 config.colorterms.data['ps1*'].data['NB0387']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0387'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['NB0387'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['NB0387'].c0=0.427879 # First-order parameter config.colorterms.data['ps1*'].data['NB0387'].c1=1.869068 # Second-order parameter config.colorterms.data['ps1*'].data['NB0387'].c2=0.54058 config.colorterms.data['ps1*'].data['NB0400']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0400'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['NB0400'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['NB0400'].c0=0.176542 # First-order parameter config.colorterms.data['ps1*'].data['NB0400'].c1=1.127055 # Second-order parameter config.colorterms.data['ps1*'].data['NB0400'].c2=0.505502 config.colorterms.data['ps1*'].data['NB0468']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0468'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['NB0468'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['NB0468'].c0=-0.04224 # First-order parameter config.colorterms.data['ps1*'].data['NB0468'].c1=0.121756 # Second-order parameter config.colorterms.data['ps1*'].data['NB0468'].c2=0.027599 config.colorterms.data['ps1*'].data['NB0515']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0515'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['NB0515'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['NB0515'].c0=-0.021913 # First-order parameter config.colorterms.data['ps1*'].data['NB0515'].c1=-0.253159 # Second-order parameter config.colorterms.data['ps1*'].data['NB0515'].c2=0.151553 config.colorterms.data['ps1*'].data['NB0527']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0527'].primary='g' # name of secondary filter config.colorterms.data['ps1*'].data['NB0527'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['NB0527'].c0=-0.020641 # First-order parameter config.colorterms.data['ps1*'].data['NB0527'].c1=-0.366167 # Second-order parameter config.colorterms.data['ps1*'].data['NB0527'].c2=0.038497 config.colorterms.data['ps1*'].data['NB0656']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0656'].primary='r' # name of secondary filter config.colorterms.data['ps1*'].data['NB0656'].secondary='i' # Constant parameter config.colorterms.data['ps1*'].data['NB0656'].c0=0.035655 # First-order parameter config.colorterms.data['ps1*'].data['NB0656'].c1=-0.512046 # Second-order parameter config.colorterms.data['ps1*'].data['NB0656'].c2=0.042796 config.colorterms.data['ps1*'].data['NB0718']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0718'].primary='i' # name of secondary filter config.colorterms.data['ps1*'].data['NB0718'].secondary='r' # Constant parameter config.colorterms.data['ps1*'].data['NB0718'].c0=-0.016294 # First-order parameter config.colorterms.data['ps1*'].data['NB0718'].c1=-0.233139 # Second-order parameter config.colorterms.data['ps1*'].data['NB0718'].c2=0.252505 config.colorterms.data['ps1*'].data['NB0816']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0816'].primary='i' # name of secondary filter config.colorterms.data['ps1*'].data['NB0816'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['NB0816'].c0=0.013806 # First-order parameter config.colorterms.data['ps1*'].data['NB0816'].c1=-0.717681 # Second-order parameter config.colorterms.data['ps1*'].data['NB0816'].c2=0.049289 config.colorterms.data['ps1*'].data['NB0921']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0921'].primary='z' # name of secondary filter config.colorterms.data['ps1*'].data['NB0921'].secondary='y' # Constant parameter config.colorterms.data['ps1*'].data['NB0921'].c0=0.002039 # First-order parameter config.colorterms.data['ps1*'].data['NB0921'].c1=-0.477412 # Second-order parameter config.colorterms.data['ps1*'].data['NB0921'].c2=-0.492151 config.colorterms.data['ps1*'].data['NB0926']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0926'].primary='z' # name of secondary filter config.colorterms.data['ps1*'].data['NB0926'].secondary='y' # Constant parameter config.colorterms.data['ps1*'].data['NB0926'].c0=0.00523 # First-order parameter config.colorterms.data['ps1*'].data['NB0926'].c1=-0.574448 # Second-order parameter config.colorterms.data['ps1*'].data['NB0926'].c2=-0.330899 config.colorterms.data['ps1*'].data['NB0973']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB0973'].primary='y' # name of secondary filter config.colorterms.data['ps1*'].data['NB0973'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['NB0973'].c0=-0.007775 # First-order parameter config.colorterms.data['ps1*'].data['NB0973'].c1=-0.050972 # Second-order parameter config.colorterms.data['ps1*'].data['NB0973'].c2=-0.197278 config.colorterms.data['ps1*'].data['NB01010']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.colorterms.data['ps1*'].data['NB01010'].primary='y' # name of secondary filter config.colorterms.data['ps1*'].data['NB01010'].secondary='z' # Constant parameter config.colorterms.data['ps1*'].data['NB01010'].c0=0.003607 # First-order parameter config.colorterms.data['ps1*'].data['NB01010'].c1=0.865366 # Second-order parameter config.colorterms.data['ps1*'].data['NB01010'].c2=1.271817 # 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='' # Always use this reference catalog filter, no matter whether or what filter name is supplied to the loader. Effectively a trivial filterMap: map all filter names to this filter. This can be set for purely-astrometric catalogs (e.g. Gaia DR2) where there is only one reasonable choice for every camera filter->refcat mapping, but not for refcats used for photometry, which need a filterMap and/or colorterms/transmission corrections. config.astrometryRefObjLoader.anyFilterMapsToThis=None # Mapping of camera filter name: reference catalog filter name; each reference filter must exist in the refcat. Note that this does not perform any bandpass corrections: it is just a lookup. config.astrometryRefObjLoader.filterMap={'r2': 'r', 'i2': 'i', 'N387': 'g', 'N468': 'g', 'N515': 'g', 'N527': 'g', 'N656': 'r', 'N718': 'i', 'N816': 'i', 'N921': 'z', 'N926': 'z', 'N973': 'y', 'N1010': 'y', 'I945': 'z', 'HSC-G': 'g', 'HSC-R': 'r', 'HSC-R2': 'r', 'HSC-I': 'i', 'HSC-I2': 'i', 'HSC-Z': 'z', 'HSC-Y': 'y', 'NB0387': 'g', 'NB0468': 'g', 'NB0515': 'g', 'NB0527': 'g', 'NB0656': 'r', 'NB0718': 'i', 'NB0816': 'i', 'NB0921': 'z', 'NB0926': 'z', 'NB0973': 'y', 'NB1010': 'y', 'IB0945': 'z'} # Require that the fields needed to correct proper motion (epoch, pm_ra and pm_dec) are present? config.astrometryRefObjLoader.requireProperMotion=True # Name of the ingested reference dataset config.astrometryRefObjLoader.ref_dataset_name='ps1_pv3_3pi_20170110' # 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='' # Always use this reference catalog filter, no matter whether or what filter name is supplied to the loader. Effectively a trivial filterMap: map all filter names to this filter. This can be set for purely-astrometric catalogs (e.g. Gaia DR2) where there is only one reasonable choice for every camera filter->refcat mapping, but not for refcats used for photometry, which need a filterMap and/or colorterms/transmission corrections. config.photometryRefObjLoader.anyFilterMapsToThis=None # Mapping of camera filter name: reference catalog filter name; each reference filter must exist in the refcat. Note that this does not perform any bandpass corrections: it is just a lookup. config.photometryRefObjLoader.filterMap={'r2': 'r', 'i2': 'i', 'N387': 'g', 'N468': 'g', 'N515': 'g', 'N527': 'g', 'N656': 'r', 'N718': 'i', 'N816': 'i', 'N921': 'z', 'N926': 'z', 'N973': 'y', 'N1010': 'y', 'I945': 'z', 'HSC-G': 'g', 'HSC-R': 'r', 'HSC-R2': 'r', 'HSC-I': 'i', 'HSC-I2': 'i', 'HSC-Z': 'z', 'HSC-Y': 'y', 'NB0387': 'g', 'NB0468': 'g', 'NB0515': 'g', 'NB0527': 'g', 'NB0656': 'r', 'NB0718': 'i', 'NB0816': 'i', 'NB0921': 'z', 'NB0926': 'z', 'NB0973': 'y', 'NB1010': 'y', 'IB0945': 'z'} # 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='ps1_pv3_3pi_20170110' # Apply flux limit? config.sourceSelector['science'].doFluxLimit=False # Apply flag limitation? config.sourceSelector['science'].doFlags=True # Apply unresolved limitation? config.sourceSelector['science'].doUnresolved=True # Apply signal-to-noise limit? config.sourceSelector['science'].doSignalToNoise=True # Apply isolated limitation? config.sourceSelector['science'].doIsolated=True # 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_PixelFlags_flag_interpolatedCenter', 'base_SdssCentroid_flag', 'base_PsfFlux_flag', 'base_PixelFlags_flag_suspectCenter'] # 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=10.0 # 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='slot_CalibFlux_instFlux' # Name of the source flux error field to use. config.sourceSelector['science'].signalToNoise.errField='slot_CalibFlux_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'] # Type of source flux; typically one of Ap or Psf config.sourceSelector['astrometry'].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['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='science' # 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={} # Uncertainty on reference catalog coordinates [mas] to use in place of the `coord_*Err` fields. If None, then raise an exception if the reference catalog is missing coordinate errors. If specified, overrides any existing `coord_*Err` values. config.astrometryReferenceErr=10.0 # 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=False # 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 # Write the pre-initialization model to text files, for debugging. Output is written to `initial[Astro|Photo]metryModel.txt` in the current working directory. config.writeInitialModel=False # Path to write debug output files to. Used by `writeInitialModel`, `writeChi2Files*`, `writeInitMatrix`. config.debugOutputPath='.' # Source flux field to use in source selection and to get fluxes from the catalog. config.sourceFluxType='Calib'