makePsfCandidates.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__ = ["MakePsfCandidatesConfig", "MakePsfCandidatesTask"]
 
import numpy as np
 
from lsst.afw.table import SourceCatalog
import lsst.afw.math as afwMath
import lsst.pex.config as pexConfig
import lsst.pex.exceptions
import lsst.pipe.base as pipeBase
from . import makePsfCandidate
 
 
class MakePsfCandidatesConfig(pexConfig.Config):
    kernelSize = pexConfig.Field[int](
        doc="Size of the postage stamp in pixels (excluding the border) around each star that is extracted "
            "for fitting. Should be odd and preferably at least 25.",
        default=25,
    )
    borderWidth = pexConfig.Field[int](
        doc="Number of pixels to ignore around the edge of PSF candidate postage stamps",
        default=0,
    )
 
 
class MakePsfCandidatesTask(pipeBase.Task):
    """Create PSF candidates given an input catalog.
    """
    ConfigClass = MakePsfCandidatesConfig
    _DefaultName = "makePsfCandidates"
 
    def run(self, starCat, exposure, psfCandidateField=None):
        """Make a list of PSF candidates from a star catalog.
 
        Parameters
        ----------
        starCat : `lsst.afw.table.SourceCatalog`
            Catalog of stars, as returned by
            ``lsst.meas.algorithms.starSelector.run()``.
        exposure : `lsst.afw.image.Exposure`
            The exposure containing the sources.
        psfCandidateField : `str`, optional
            Name of flag field to set True for PSF candidates, or None to not
            set a field; the field is left unchanged for non-candidates.
 
        Returns
        -------
        struct : `lsst.pipe.base.Struct`
            Results struct containing:
 
            - ``psfCandidates`` : List of PSF candidates
                (`list` of `lsst.meas.algorithms.PsfCandidate`).
            - ``goodStarCat`` : Subset of ``starCat`` that was successfully made
                into PSF candidates (`lsst.afw.table.SourceCatalog`).
 
        """
        psfResult = self.makePsfCandidates(starCat, exposure)
 
        if psfCandidateField is not None:
            isStarKey = starCat.schema[psfCandidateField].asKey()
            for star in psfResult.goodStarCat:
                star.set(isStarKey, True)
 
        return psfResult
 
    def makePsfCandidates(self, starCat, exposure):
        """Make a list of PSF candidates from a star catalog.
 
        Parameters
        ----------
        starCat : `lsst.afw.table.SourceCatalog`
            Catalog of stars, as returned by
            ``lsst.meas.algorithms.starSelector.run()``.
        exposure : `lsst.afw.image.Exposure`
            The exposure containing the sources.
 
        Returns
        -------
        struct : `lsst.pipe.base.Struct`
            Results struct containing:
 
            - ``psfCandidates`` : List of PSF candidates
                (`list` of `lsst.meas.algorithms.PsfCandidate`).
            - ``goodStarCat`` : Subset of ``starCat`` that was successfully made
                into PSF candidates (`lsst.afw.table.SourceCatalog`).
        """
        goodStarCat = SourceCatalog(starCat.schema)
 
        psfCandidateList = []
        didSetSize = False
        for star in starCat:
            psfCandidate = makePsfCandidate(star, exposure)
            try:
                psfCandidate.setPsfColorValue(star['psf_color_value'])
                psfCandidate.setPsfColorType(star['psf_color_type'])
            except Exception:
                psfCandidate.setPsfColorValue(np.nan)
                psfCandidate.setPsfColorType("")
            try:
                # The setXXX methods are class static, but it's convenient to call them on
                # an instance as we don't know exposures's pixel type
                # (and hence psfCandidate's exact type)
                if not didSetSize:
                    psfCandidate.setBorderWidth(self.config.borderWidth)
                    psfCandidate.setWidth(self.config.kernelSize + 2*self.config.borderWidth)
                    psfCandidate.setHeight(self.config.kernelSize + 2*self.config.borderWidth)
                    didSetSize = True
 
                im = psfCandidate.getMaskedImage().getImage()
            except lsst.pex.exceptions.LengthError:
                self.log.warning("Could not get stamp for psfCandidate with source id=%s: %s",
                                 star.getId(), psfCandidate)
                continue
            except lsst.pex.exceptions.Exception as e:
                self.log.error("%s raised making psfCandidate from source id=%s: %s",
                               e.__class__.__name__, star.getId(), psfCandidate)
                self.log.error("psfCandidate exception: %s", e)
                continue
 
            vmax = afwMath.makeStatistics(im, afwMath.MAX).getValue()
            if not np.isfinite(vmax):
                continue
            if 'psf_max_value' in star.schema:
                star['psf_max_value'] = vmax
            psfCandidateList.append(psfCandidate)
            goodStarCat.append(star)
 
        return pipeBase.Struct(
            psfCandidates=psfCandidateList,
            goodStarCat=goodStarCat,
        )