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# 

# LSST Data Management System 

# 

# Copyright 2008-2017 AURA/LSST. 

# 

# This product includes software developed by the 

# LSST Project (http://www.lsst.org/). 

# 

# This program is free software: you can redistribute it and/or modify 

# it under the terms of the GNU General Public License as published by 

# the Free Software Foundation, either version 3 of the License, or 

# (at your option) any later version. 

# 

# This program is distributed in the hope that it will be useful, 

# but WITHOUT ANY WARRANTY; without even the implied warranty of 

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

# GNU General Public License for more details. 

# 

# You should have received a copy of the LSST License Statement and 

# the GNU General Public License along with this program. If not, 

# see <https://www.lsstcorp.org/LegalNotices/>. 

# 

import lsst.pex.config as pexConfig 

from .subtractBackground import SubtractBackgroundTask 

 

 

class FindCosmicRaysConfig(pexConfig.Config): 

"""Config for the findCosmicRays function 

""" 

nCrPixelMax = pexConfig.Field( 

dtype=int, 

doc="maximum number of contaminated pixels", 

default=10000, 

) 

minSigma = pexConfig.Field( 

dtype=float, 

doc="CRs must be > this many sky-sig above sky", 

default=6.0, 

) 

min_DN = pexConfig.Field( 

dtype=float, 

doc="CRs must have > this many DN (== electrons/gain) in initial detection", 

default=150.0, 

) 

cond3_fac = pexConfig.Field( 

dtype=float, 

doc="used in condition 3 for CR; see CR.cc code", 

default=2.5, 

) 

cond3_fac2 = pexConfig.Field( 

dtype=float, 

doc="used in condition 3 for CR; see CR.cc code", 

default=0.6, 

) 

niteration = pexConfig.Field( 

dtype=int, 

doc="number of times to look for contaminated pixels near known CR pixels", 

default=3, 

) 

keepCRs = pexConfig.Field( 

dtype=bool, 

doc="Don't interpolate over CR pixels", 

default=False, 

) 

background = pexConfig.ConfigurableField( 

target=SubtractBackgroundTask, 

doc="Background estimation configuration" 

) 

 

def setDefaults(self): 

self.background.useApprox = False 

self.background.binSize = 100000 

self.background.statisticsProperty = "MEDIAN" 

self.background.undersampleStyle = "REDUCE_INTERP_ORDER" 

self.background.algorithm = "AKIMA_SPLINE"