fgcmCalibrateTractTable.py

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# This file is part of fgcmcal.
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"""Class for running fgcmcal on a single tract using sourceTable_visit tables.
"""
 
import lsst.pipe.base as pipeBase
 
from .dataIds import TractCheckDataIdContainer
from .fgcmBuildStarsTable import FgcmBuildStarsTableTask
from .fgcmCalibrateTractBase import (FgcmCalibrateTractConfigBase, FgcmCalibrateTractRunner,
                                     FgcmCalibrateTractBaseTask)
 
__all__ = ['FgcmCalibrateTractTableConfig', 'FgcmCalibrateTractTableTask']
 
 
class FgcmCalibrateTractTableConfig(FgcmCalibrateTractConfigBase):
    """Config for FgcmCalibrateTractTable task"""
    def setDefaults(self):
        super().setDefaults()
 
        # For the Table version of CalibrateTract, use the associated
        # Table version of the BuildStars task.
        self.fgcmBuildStars.retarget(FgcmBuildStarsTableTask)
        # For tract mode, we set a very high effective density cut.
        self.fgcmBuildStars.densityCutMaxPerPixel = 10000
 
 
class FgcmCalibrateTractTableTask(FgcmCalibrateTractBaseTask):
    """
    Calibrate a single tract using fgcmcal, using sourceTable_visit
    input catalogs.
    """
    ConfigClass = FgcmCalibrateTractTableConfig
    RunnerClass = FgcmCalibrateTractRunner
    _DefaultName = "fgcmCalibrateTract"
 
    @classmethod
    def _makeArgumentParser(cls):
        parser = pipeBase.ArgumentParser(name=cls._DefaultName)
        parser.add_id_argument("--id", "sourceTable_visit",
                               help="Data ID, e.g. --id visit=6789 tract=9617",
                               ContainerClass=TractCheckDataIdContainer)
 
        return parser