starSelector.py

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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/>.
#
__all__ = ["BaseStarSelectorConfig", "BaseStarSelectorTask", "starSelectorRegistry"]
 
import abc
 
from lsst.afw.table import Schema
import lsst.pex.config as pexConfig
import lsst.pipe.base as pipeBase
 
 
class BaseStarSelectorConfig(pexConfig.Config):
    badFlags = pexConfig.ListField(
        doc="List of flags which cause a source to be rejected as bad",
        dtype=str,
        default=[
            "base_PixelFlags_flag_edge",
            "base_PixelFlags_flag_nodata",
            "base_PixelFlags_flag_interpolatedCenter",
            "base_PixelFlags_flag_saturatedCenter",
            "base_PixelFlags_flag_crCenter",
            "base_PixelFlags_flag_bad",
            "base_PixelFlags_flag_interpolated",
        ],
    )
 
 
class BaseStarSelectorConfig(pexConfig.Config): …
class BaseStarSelectorTask(pipeBase.Task, metaclass=abc.ABCMeta):
    """Base class for star selectors
 
    Register all star selectors with the starSelectorRegistry using:
        starSelectorRegistry.register(name, class)
    """
 
    usesMatches = False  # Does the star selector use the "matches" argument in the "run method? Few do.
    ConfigClass = BaseStarSelectorConfig
    _DefaultName = "starSelector"
 
    def __init__(self, schema, **kwds):
        # catch code that passed config positionally before schema argument was added
        assert isinstance(schema, Schema)
        pipeBase.Task.__init__(self, **kwds)
 
    def __init__(self, schema, **kwds): …
    def run(self, exposure, sourceCat, matches=None, isStarField=None):
        """Select stars and set a flag field True for stars in the input catalog.
 
        Parameters
        ----------
        exposure : `lsst.afw.image.Exposure`
            the exposure containing the sources
        sourceCat : `lsst.afw.table.SourceCatalog`
            catalog of sources that may be stars
        matches : `lsst.afw.table.ReferenceMatchVector` or None
            astrometric matches; ignored by this star selector. Some star selectors
            will ignore this argument, others may require it. See the
            usesMatches class variable.
        isStarField : `str`
            name of flag field to set True for stars, or None to not set a field;
            the field is left unchanged for non-stars
 
        Returns
        -------
        struct : `lsst.pipe.base.Struct`
        Result struct containing:
 
            - starCat  catalog of stars that were selected as stars and successfuly made into PSF candidates
                        (a subset of sourceCat whose records are shallow copies)
        """
        result = self.selectStars(exposure=exposure, sourceCat=sourceCat, matches=matches)
 
        if isStarField is not None:
            isStarKey = sourceCat.schema[isStarField].asKey()
            for star in result.starCat:
                star.set(isStarKey, True)
 
        return pipeBase.Struct(starCat=result.starCat)
 
    def run(self, exposure, sourceCat, matches=None, isStarField=None): …
    @abc.abstractmethod
    def selectStars(self, exposure, sourceCat, matches=None):
        """Return a catalog of stars: a subset of sourceCat whose records are shallow copies
 
        Parameters
        ----------
        exposure : `lsst.afw.image.Exposure`
            The exposure containing the sources.
        sourceCat : `lsst.afw.table.SourceCatalog`
            Catalog of sources that may be stars.
        matches : `lsst.afw.table.ReferenceMatchVector` or None
            astrometric matches; ignored by this star selector. Some star selectors
            will ignore this argument, others may require it. See the usesMatches class variable.
 
        Returns
        -------
        struct : `lsst.pipe.base.Struct`
            Result `~lsst.pipe.base.Struct` containing:
 
            ``starCat``
                Catalog of stars that were selected as stars and successfuly made into PSF candidates
                (a subset of sourceCat whose records are shallow copies).
                (`lsst.afw.table.SourceCatalog`)
 
        Notes
        -----
        Warning: The returned catalog must have records that are shallow copies
        (fortunately this is the default behavior when you add a record from one catalog to another);
        otherwise the run method cannot set the isStarField flag in the original source catalog.
        """
        raise NotImplementedError("BaseStarSelectorTask is abstract, subclasses must override this method")
 
 
    def selectStars(self, exposure, sourceCat, matches=None): …
class BaseStarSelectorTask(pipeBase.Task, metaclass=abc.ABCMeta): …
starSelectorRegistry = pexConfig.makeRegistry(
    doc="A registry of star selectors (subclasses of BaseStarSelectorTask)",
)