config.latitude = 19.8256
# Amount of gray extinction to be considered "photometric". This will
# get ratcheded down in further cycles.
config.expGrayPhotometricCut = (-0.05, -0.05, -0.05, -0.05, -0.05)
# Amount of gray "positive extinction" to be considered "photometric". Used
# to cull out-of-model exposures.
config.expGrayHighCut = (0.2, 0.2, 0.2, 0.2, 0.2)
# Number of bins to do aperture correction. Not currently supported in LSST stack.
config.aperCorrFitNBins = 0
# Aperture correction input slope parameters. There should be one slope ber band.
# This is used when there is insufficient data to fit the parameters from the data
# itself (e.g. tract mode or RC2).
config.aperCorrInputSlopes = (-1.0150, -0.9694, -1.7229, -1.4549, -1.1998)
# Mapping from bands to SED boundary term names used is sedterms.
config.sedboundaryterms.data = {
'gr': Sedboundaryterm(primary='g', secondary='r'),
'ri': Sedboundaryterm(primary='r', secondary='i'),
'iz': Sedboundaryterm(primary='i', secondary='z'),
'zy': Sedboundaryterm(primary='z', secondary='y')
}
# Mapping from terms to bands for fgcm linear SED approximations.
config.sedterms.data = {
'g':
Sedterm(primaryTerm='gr', secondaryTerm='ri', constant=1.6),
'r':
Sedterm(primaryTerm='gr', secondaryTerm='ri', constant=0.9),
'i':
Sedterm(primaryTerm='ri', secondaryTerm='iz', constant=1.0),
'z':
Sedterm(primaryTerm='iz', secondaryTerm='zy', constant=1.0),
'y':
'N1010': 0.15
}
config.approxThroughputDict = {
'N387': 1.0,
'g': 1.0,
'r': 1.0,
'i': 1.0,
'N816': 1.0,
'z': 1.0,
'N921': 1.0,
'y': 1.0,
'N1010': 1.0
}
config.sedboundaryterms.data = {
'gr': Sedboundaryterm(primary='g', secondary='r'),
'ri': Sedboundaryterm(primary='r', secondary='i'),
'iz': Sedboundaryterm(primary='i', secondary='z'),
'zy': Sedboundaryterm(primary='z', secondary='y'),
'N387g': Sedboundaryterm(primary='N387', secondary='g'),
'N816i': Sedboundaryterm(primary='N816', secondary='i'),
'N921z': Sedboundaryterm(primary='N921', secondary='z'),
'N1010y': Sedboundaryterm(primary='N1010', secondary='y')
}
config.sedterms.data = {
'g':
Sedterm(primaryTerm='gr', secondaryTerm='ri', constant=1.6),
'r':
Sedterm(primaryTerm='gr', secondaryTerm='ri', constant=0.9),
'i':
Sedterm(primaryTerm='ri', secondaryTerm='iz', constant=1.0),
'y': -0.05}
config.expGrayHighCutDict = {'g': 0.2,
'r': 0.2,
'i': 0.2,
'z': 0.2,
'N921': 0.2,
'y': 0.2}
config.aperCorrFitNBins = 0
config.aperCorrInputSlopeDict = {'g': -1.1579,
'r': -1.3908,
'i': -1.1436,
'z': -1.6974,
'N921': -1.3310,
'y': -1.2057}
# Mapping from bands to SED boundary term names used is sedterms.
config.sedboundaryterms.data = {'gr': Sedboundaryterm(primary='g', secondary='r'),
'ri': Sedboundaryterm(primary='r', secondary='i'),
'iz': Sedboundaryterm(primary='i', secondary='z'),
'zy': Sedboundaryterm(primary='z', secondary='y'),
'N921z': Sedboundaryterm(primary='N921', secondary='z')}
# Mapping from terms to bands for fgcm linear SED approximations.
config.sedterms.data = {'g': Sedterm(primaryTerm='gr', secondaryTerm='ri', constant=1.6),
'r': Sedterm(primaryTerm='gr', secondaryTerm='ri', constant=0.9),
'i': Sedterm(primaryTerm='ri', secondaryTerm='iz', constant=1.0),
'z': Sedterm(primaryTerm='iz', secondaryTerm='zy', constant=1.0),
'y': Sedterm(primaryTerm='zy', secondaryTerm='iz', constant=0.25,
extrapolated=True, primaryBand='y', secondaryBand='z',
tertiaryBand='i'),
'N921': Sedterm(primaryTerm='N921z', constant=0.5)}
# Color cuts for stars to use for calibration. Each element is a string with
# band1, band2, range_low, range_high such that range_low < (band1 - band2) < range_high