coaddBase.py

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#
# LSST Data Management System
# Copyright 2008-2015 AURA/LSST.
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import lsst.pex.config as pexConfig
import lsst.geom as geom
import lsst.afw.geom as afwGeom
import lsst.afw.image as afwImage
import lsst.pipe.base as pipeBase
import lsst.meas.algorithms as measAlg
 
from lsst.afw.fits import FitsError
from lsst.coadd.utils import CoaddDataIdContainer
from .selectImages import WcsSelectImagesTask, SelectStruct
from .coaddInputRecorder import CoaddInputRecorderTask
from .scaleVariance import ScaleVarianceTask
 
__all__ = ["CoaddBaseTask", "getSkyInfo", "makeSkyInfo", "makeCoaddSuffix"]
 
 
class CoaddBaseConfig(pexConfig.Config):
    """!Configuration parameters for CoaddBaseTask
 
    @anchor CoaddBaseConfig_
 
    @brief Configuration parameters shared between MakeCoaddTempExp and AssembleCoadd
    """
    coaddName = pexConfig.Field(
        doc="Coadd name: typically one of deep or goodSeeing.",
        dtype=str,
        default="deep",
    )
    select = pexConfig.ConfigurableField(
        doc="Image selection subtask.",
        target=WcsSelectImagesTask,
    )
    badMaskPlanes = pexConfig.ListField(
        dtype=str,
        doc="Mask planes that, if set, the associated pixel should not be included in the coaddTempExp.",
        default=("NO_DATA",),
    )
    inputRecorder = pexConfig.ConfigurableField(
        doc="Subtask that helps fill CoaddInputs catalogs added to the final Exposure",
        target=CoaddInputRecorderTask
    )
    doPsfMatch = pexConfig.Field(
        dtype=bool,
        doc="Match to modelPsf? Deprecated. Sets makePsfMatched=True, makeDirect=False",
        default=False
    )
    modelPsf = measAlg.GaussianPsfFactory.makeField(doc="Model Psf factory")
    doApplyUberCal = pexConfig.Field(
        dtype=bool,
        doc=("Apply ubercalibrated WCS and PhotoCalib results to input calexps? "
             "This field is no longer used, and has been deprecated by DM-21308. "
             "It will be removed after v20. Use doApplyExternalPhotoCalib and "
             "doApplyExternalSkyWcs instead."),
        default=False
    )
    doApplyExternalPhotoCalib = pexConfig.Field(
        dtype=bool,
        default=False,
        doc=("Whether to apply external photometric calibration via an "
             "`lsst.afw.image.PhotoCalib` object.  Uses the "
             "`externalPhotoCalibName` field to determine which calibration "
             "to load.")
    )
    externalPhotoCalibName = pexConfig.ChoiceField(
        dtype=str,
        doc="Type of external PhotoCalib if `doApplyExternalPhotoCalib` is True.",
        default="jointcal",
        allowed={
            "jointcal": "Use jointcal_photoCalib",
            "fgcm": "Use fgcm_photoCalib",
            "fgcm_tract": "Use fgcm_tract_photoCalib"
        }
    )
    doApplyExternalSkyWcs = pexConfig.Field(
        dtype=bool,
        default=False,
        doc=("Whether to apply external astrometric calibration via an "
             "`lsst.afw.geom.SkyWcs` object.  Uses `externalSkyWcsName` "
             "field to determine which calibration to load.")
    )
    externalSkyWcsName = pexConfig.ChoiceField(
        dtype=str,
        doc="Type of external SkyWcs if `doApplyExternalSkyWcs` is True.",
        default="jointcal",
        allowed={
            "jointcal": "Use jointcal_wcs"
        }
    )
    includeCalibVar = pexConfig.Field(
        dtype=bool,
        doc="Add photometric calibration variance to warp variance plane.",
        default=False
    )
    matchingKernelSize = pexConfig.Field(
        dtype=int,
        doc="Size in pixels of matching kernel. Must be odd.",
        default=21,
        check=lambda x: x % 2 == 1
    )
 
 
class CoaddTaskRunner(pipeBase.TaskRunner):
 
    @staticmethod
    def getTargetList(parsedCmd, **kwargs):
        return pipeBase.TaskRunner.getTargetList(parsedCmd, selectDataList=parsedCmd.selectId.dataList,
                                                 **kwargs)
 
 
class CoaddBaseTask(pipeBase.CmdLineTask):
    """!Base class for coaddition.
 
    Subclasses must specify _DefaultName
    """
    ConfigClass = CoaddBaseConfig
    RunnerClass = CoaddTaskRunner
 
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self.makeSubtask("select")
        self.makeSubtask("inputRecorder")
 
    def selectExposures(self, patchRef, skyInfo=None, selectDataList=[]):
        """!
        @brief Select exposures to coadd
 
        Get the corners of the bbox supplied in skyInfo using @ref geom.Box2D and convert the pixel
        positions of the bbox corners to sky coordinates using @ref skyInfo.wcs.pixelToSky. Use the
        @ref WcsSelectImagesTask_ "WcsSelectImagesTask" to select exposures that lie inside the patch
        indicated by the dataRef.
 
        @param[in] patchRef  data reference for sky map patch. Must include keys "tract", "patch",
                             plus the camera-specific filter key (e.g. "filter" or "band")
        @param[in] skyInfo   geometry for the patch; output from getSkyInfo
        @return    a list of science exposures to coadd, as butler data references
        """
        if skyInfo is None:
            skyInfo = self.getSkyInfo(patchRef)
        cornerPosList = geom.Box2D(skyInfo.bbox).getCorners()
        coordList = [skyInfo.wcs.pixelToSky(pos) for pos in cornerPosList]
        return self.select.runDataRef(patchRef, coordList, selectDataList=selectDataList).dataRefList
 
    def getSkyInfo(self, patchRef):
        """!
        @brief Use @ref getSkyinfo to return the skyMap, tract and patch information, wcs and the outer bbox
        of the patch.
 
        @param[in] patchRef  data reference for sky map. Must include keys "tract" and "patch"
 
        @return pipe_base Struct containing:
        - skyMap: sky map
        - tractInfo: information for chosen tract of sky map
        - patchInfo: information about chosen patch of tract
        - wcs: WCS of tract
        - bbox: outer bbox of patch, as an geom Box2I
        """
        return getSkyInfo(coaddName=self.config.coaddName, patchRef=patchRef)
 
    def getCoaddDatasetName(self, warpType="direct"):
        """Return coadd name for given warpType and task config
 
        Parameters
        ----------
        warpType : string
            Either 'direct' or 'psfMatched'
 
        Returns
        -------
        CoaddDatasetName : `string`
        """
        return self.config.coaddName + "Coadd" + makeCoaddSuffix(warpType)
 
    def getTempExpDatasetName(self, warpType="direct"):
        """Return warp name for given warpType and task config
 
        Parameters
        ----------
        warpType : string
            Either 'direct' or 'psfMatched'
 
        Returns
        -------
        WarpDatasetName : `string`
        """
        return self.config.coaddName + "Coadd_" + warpType + "Warp"
 
    @classmethod
    def _makeArgumentParser(cls):
        """Create an argument parser
        """
        parser = pipeBase.ArgumentParser(name=cls._DefaultName)
        parser.add_id_argument("--id", "deepCoadd", help="data ID, e.g. --id tract=12345 patch=1,2",
                               ContainerClass=CoaddDataIdContainer)
        parser.add_id_argument("--selectId", "calexp", help="data ID, e.g. --selectId visit=6789 ccd=0..9",
                               ContainerClass=SelectDataIdContainer)
        return parser
 
    def _getConfigName(self):
        """Return the name of the config dataset
        """
        return "%s_%s_config" % (self.config.coaddName, self._DefaultName)
 
    def _getMetadataName(self):
        """Return the name of the metadata dataset
        """
        return "%s_%s_metadata" % (self.config.coaddName, self._DefaultName)
 
    def getBadPixelMask(self):
        """!
        @brief Convenience method to provide the bitmask from the mask plane names
        """
        return afwImage.Mask.getPlaneBitMask(self.config.badMaskPlanes)
 
 
class SelectDataIdContainer(pipeBase.DataIdContainer):
    """!
    @brief A dataId container for inputs to be selected.
 
    Read the header (including the size and Wcs) for all specified
    inputs and pass those along, ultimately for the SelectImagesTask.
    This is most useful when used with multiprocessing, as input headers are
    only read once.
    """
 
    def makeDataRefList(self, namespace):
        """Add a dataList containing useful information for selecting images"""
        super(SelectDataIdContainer, self).makeDataRefList(namespace)
        self.dataList = []
        for ref in self.refList:
            try:
                md = ref.get("calexp_md", immediate=True)
                wcs = afwGeom.makeSkyWcs(md)
                data = SelectStruct(dataRef=ref, wcs=wcs, bbox=afwImage.bboxFromMetadata(md))
            except FitsError:
                namespace.log.warn("Unable to construct Wcs from %s" % (ref.dataId))
                continue
            self.dataList.append(data)
 
 
def getSkyInfo(coaddName, patchRef):
    """!
    @brief Return the SkyMap, tract and patch information, wcs, and outer bbox of the patch to be coadded.
 
    @param[in]  coaddName  coadd name; typically one of deep or goodSeeing
    @param[in]  patchRef   data reference for sky map. Must include keys "tract" and "patch"
 
    @return pipe_base Struct containing:
    - skyMap: sky map
    - tractInfo: information for chosen tract of sky map
    - patchInfo: information about chosen patch of tract
    - wcs: WCS of tract
    - bbox: outer bbox of patch, as an geom Box2I
    """
    skyMap = patchRef.get(coaddName + "Coadd_skyMap")
    return makeSkyInfo(skyMap, patchRef.dataId["tract"], patchRef.dataId["patch"])
 
 
def makeSkyInfo(skyMap, tractId, patchId):
    """Return SkyInfo Struct
 
    Constructs SkyInfo used by coaddition tasks for multiple
    patchId formats.
 
    Parameters
    ----------
    skyMap : `lsst.skyMap.SkyMap`
    tractId : int
    patchId : str or int or tuple of int
        Either Gen2-style comma delimited string (e.g. '4,5'),
        tuple of integers (e.g (4, 5), Gen3-style integer.
    """
    tractInfo = skyMap[tractId]
 
    if isinstance(patchId, str) and ',' in patchId:
        #  patch format is "xIndex,yIndex"
        patchIndex = tuple(int(i) for i in patchId.split(","))
    else:
        patchIndex = patchId
 
    patchInfo = tractInfo.getPatchInfo(patchIndex)
 
    return pipeBase.Struct(
        skyMap=skyMap,
        tractInfo=tractInfo,
        patchInfo=patchInfo,
        wcs=tractInfo.getWcs(),
        bbox=patchInfo.getOuterBBox(),
    )
 
 
def scaleVariance(maskedImage, maskPlanes, log=None):
    """!
    @brief Scale the variance in a maskedImage
 
    The variance plane in a convolved or warped image (or a coadd derived
    from warped images) does not accurately reflect the noise properties of
    the image because variance has been lost to covariance. This function
    attempts to correct for this by scaling the variance plane to match
    the observed variance in the image. This is not perfect (because we're
    not tracking the covariance) but it's simple and is often good enough.
 
    @deprecated Use the ScaleVarianceTask instead.
 
    @param maskedImage  MaskedImage to operate on; variance will be scaled
    @param maskPlanes  List of mask planes for pixels to reject
    @param log  Log for reporting the renormalization factor; or None
    @return renormalisation factor
    """
    config = ScaleVarianceTask.ConfigClass()
    config.maskPlanes = maskPlanes
    task = ScaleVarianceTask(config=config, name="scaleVariance", log=log)
    return task.run(maskedImage)
 
 
def makeCoaddSuffix(warpType="direct"):
    """Return coadd suffix for warpType
 
    Parameters
    ----------
    warpType : string
        Either 'direct' or 'psfMatched'
 
    Returns
    -------
    CoaddSuffix : `string`
    """
    suffix = "" if warpType == "direct" else warpType[0].upper() + warpType[1:]
    return suffix