coaddBase.py

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__all__ = ["CoaddBaseTask", "makeSkyInfo"]
 
import lsst.pex.config as pexConfig
import lsst.afw.image as afwImage
import lsst.pipe.base as pipeBase
import lsst.meas.algorithms as measAlg
 
from lsst.meas.algorithms import ScaleVarianceTask
from .selectImages import PsfWcsSelectImagesTask
from .coaddInputRecorder import CoaddInputRecorderTask
 
 
class CoaddBaseConfig(pexConfig.Config):
    """Configuration parameters for CoaddBaseTask
 
    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=PsfWcsSelectImagesTask,
    )
    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? Sets makePsfMatched=True, makeDirect=False",
        deprecated="This field is no longer used. Will be removed after v26.",  # TODO: DM-39841
        default=False
    )
    modelPsf = measAlg.GaussianPsfFactory.makeField(doc="Model Psf factory")
    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."),
        # TODO: remove on DM-39854.
        deprecated="Deprecated in favor of the 'visitSummary' connection.  Will be removed after v26.",
    )
    useGlobalExternalPhotoCalib = pexConfig.Field(
        dtype=bool,
        default=False,
        doc=("When using doApplyExternalPhotoCalib, use 'global' calibrations "
             "that are not run per-tract.  When False, use per-tract photometric "
             "calibration files."),
        # TODO: remove on DM-39854.
        deprecated="Deprecated in favor of the 'visitSummary' connection.  Will be removed after v26.",
    )
    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."),
        # TODO: remove on DM-39854.
        deprecated="Deprecated in favor of the 'visitSummary' connection.  Will be removed after v26.",
    )
    useGlobalExternalSkyWcs = pexConfig.Field(
        dtype=bool,
        default=False,
        doc=("When using doApplyExternalSkyWcs, use 'global' calibrations "
             "that are not run per-tract.  When False, use per-tract wcs "
             "files."),
        # TODO: remove on DM-39854.
        deprecated="Deprecated in favor of the 'visitSummary' connection.  Will be removed after v26.",
    )
    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 CoaddBaseTask(pipeBase.PipelineTask):
    """Base class for coaddition.
 
    Subclasses must specify _DefaultName
    """
 
    ConfigClass = CoaddBaseConfig
 
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self.makeSubtask("select")
        self.makeSubtask("inputRecorder")
 
    def getTempExpDatasetName(self, warpType="direct"):
        """Return warp name for given warpType and task config
 
        Parameters
        ----------
        warpType : `str`
            Either 'direct' or 'psfMatched'.
 
        Returns
        -------
        WarpDatasetName : `str`
        """
        return self.config.coaddName + "Coadd_" + warpType + "Warp"
 
    def getBadPixelMask(self):
        """Convenience method to provide the bitmask from the mask plane names
        """
        return afwImage.Mask.getPlaneBitMask(self.config.badMaskPlanes)
 
 
def makeSkyInfo(skyMap, tractId, patchId):
    """Constructs SkyInfo used by coaddition tasks for multiple
    patchId formats.
 
    Parameters
    ----------
    skyMap : `lsst.skyMap.SkyMap`
        Sky map.
    tractId : `int`
        The ID of the tract.
    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.
 
    Returns
    -------
    makeSkyInfo : `lsst.pipe.base.Struct`
        pipe_base Struct with attributes:
 
        ``skyMap``
            Sky map (`lsst.skyMap.SkyMap`).
        ``tractInfo``
            Information for chosen tract of sky map (`lsst.skyMap.TractInfo`).
        ``patchInfo``
            Information about chosen patch of tract (`lsst.skyMap.PatchInfo`).
        ``wcs``
            WCS of tract (`lsst.afw.image.SkyWcs`).
        ``bbox``
            Outer bbox of patch, as an geom Box2I (`lsst.afw.geom.Box2I`).
    """
    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):
    """Scale the variance in a maskedImage
 
    This is deprecated. Use the ScaleVarianceTask instead.
 
    Parameters
    ----------
    maskedImage : `lsst.afw.image.MaskedImage`
        MaskedImage to operate on; variance will be scaled.
    maskPlanes : `list`
        List of mask planes for pixels to reject.
    log : `Unknown`
        Log for reporting the renormalization factor; or None.
 
    Returns
    -------
    task.run : `Unknown`
        Renormalization factor.
 
    Notes
    -----
    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.
    """
    config = ScaleVarianceTask.ConfigClass()
    config.maskPlanes = maskPlanes
    task = ScaleVarianceTask(config=config, name="scaleVariance", log=log)
    return task.run(maskedImage)
 
 
def reorderAndPadList(inputList, inputKeys, outputKeys, padWith=None):
    """Match the order of one list to another, padding if necessary
 
    Parameters
    ----------
    inputList : `list`
        List to be reordered and padded. Elements can be any type.
    inputKeys :  `iterable`
        Iterable of values to be compared with outputKeys. Length must match `inputList`.
    outputKeys : `iterable`
        Iterable of values to be compared with inputKeys.
    padWith : `Unknown`
        Any value to be inserted where inputKey not in outputKeys.
 
    Returns
    -------
    outputList : `list`
        Copy of inputList reordered per outputKeys and padded with `padWith`
        so that the length matches length of outputKeys.
    """
    outputList = []
    for d in outputKeys:
        if d in inputKeys:
            outputList.append(inputList[inputKeys.index(d)])
        else:
            outputList.append(padWith)
    return outputList