scaleZeroPoint.py

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#
# LSST Data Management System
# Copyright 2008, 2009, 2010, 2011, 2012 LSST Corporation.
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# LSST Project (http://www.lsst.org/).
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import numpy
import lsst.geom as geom
import lsst.afw.image as afwImage
import lsst.pex.config as pexConfig
import lsst.pipe.base as pipeBase
from lsst.pipe.tasks.selectImages import BaseSelectImagesTask

__all__ = ["ImageScaler", "SpatialImageScaler", "ScaleZeroPointTask"]


class ImageScaler:
    """A class that scales an image

    This version uses a single scalar. Fancier versions may use a spatially varying scale.
    """

    def __init__(self, scale=1.0):
        """Construct an ImageScaler

        @param[in] scale: scale correction to apply (see scaleMaskedImage);
        """
        self._scale = scale

    def scaleMaskedImage(self, maskedImage):
        """Scale the specified image or masked image in place.

        @param[in,out] maskedImage: masked image to scale
        """
        maskedImage *= self._scale


class SpatialImageScaler(ImageScaler):
    """Multiplicative image scaler using interpolation over a grid of points.

    Contains the x, y positions in tract coordinates and the scale factors.
    Interpolates only when scaleMaskedImage() or getInterpImage() is called.

    Currently the only type of 'interpolation' implemented is CONSTANT which calculates the mean.
    """

    def __init__(self, interpStyle, xList, yList, scaleList):
        """Constructor

        @param[in] interpStyle: interpolation style (CONSTANT is only option)
        @param[in] xList: list of X pixel positions
        @param[in] yList: list of Y pixel positions
        @param[in] scaleList: list of multiplicative scale factors at (x,y)

        @raise RuntimeError if the lists have different lengths
        """
        if len(xList) != len(yList) or len(xList) != len(scaleList):
            raise RuntimeError(
                "len(xList)=%s len(yList)=%s, len(scaleList)=%s but all lists must have the same length" %
                (len(xList), len(yList), len(scaleList)))

        # Eventually want this do be: self.interpStyle = getattr(afwMath.Interpolate2D, interpStyle)
        self._xList = xList
        self._yList = yList
        self._scaleList = scaleList

    def scaleMaskedImage(self, maskedImage):
        """Apply scale correction to the specified masked image

        @param[in,out] image to scale; scale is applied in place
        """
        scale = self.getInterpImage(maskedImage.getBBox())
        maskedImage *= scale

    def getInterpImage(self, bbox):
        """Return an image containing the scale correction with same bounding box as supplied.

        @param[in] bbox: integer bounding box for image (geom.Box2I)
        """
        npoints = len(self._xList)

        if npoints < 1:
            raise RuntimeError("Cannot create scaling image. Found no fluxMag0s to interpolate")

        image = afwImage.ImageF(bbox, numpy.mean(self._scaleList))

        return image


class ScaleZeroPointConfig(pexConfig.Config):
    """Config for ScaleZeroPointTask
    """
    zeroPoint = pexConfig.Field(
        dtype=float,
        doc="desired photometric zero point",
        default=27.0,
    )


class SpatialScaleZeroPointConfig(ScaleZeroPointConfig):
    selectFluxMag0 = pexConfig.ConfigurableField(
        doc="Task to select data to compute spatially varying photometric zeropoint",
        target=BaseSelectImagesTask,
    )

    interpStyle = pexConfig.ChoiceField(
        dtype=str,
        doc="Algorithm to interpolate the flux scalings;"
        "Currently only one choice implemented",
        default="CONSTANT",
        allowed={
            "CONSTANT": "Use a single constant value",
        }
    )


class ScaleZeroPointTask(pipeBase.Task):
    """Compute scale factor to scale exposures to a desired photometric zero point

    This simple version assumes that the zero point is spatially invariant.
    """
    ConfigClass = ScaleZeroPointConfig
    _DefaultName = "scaleZeroPoint"

    def __init__(self, *args, **kwargs):
        """Construct a ScaleZeroPointTask
        """
        pipeBase.Task.__init__(self, *args, **kwargs)

        # flux at mag=0 is 10^(zeroPoint/2.5)   because m = -2.5*log10(F/F0)
        fluxMag0 = 10**(0.4 * self.config.zeroPoint)
        self._photoCalib = afwImage.makePhotoCalibFromCalibZeroPoint(fluxMag0, 0.0)

    def run(self, exposure, dataRef=None):
        """Scale the specified exposure to the desired photometric zeropoint

        @param[in,out] exposure: exposure to scale; masked image is scaled in place
        @param[in] dataRef: dataRef for exposure.
                               Not used, but in API so that users can switch between spatially variant
                               and invariant tasks
        @return a pipeBase.Struct containing:
        - imageScaler: the image scaling object used to scale exposure
        """
        imageScaler = self.computeImageScaler(exposure=exposure, dataRef=dataRef)
        mi = exposure.getMaskedImage()
        imageScaler.scaleMaskedImage(mi)
        return pipeBase.Struct(
            imageScaler=imageScaler,
        )

    def computeImageScaler(self, exposure, dataRef=None):
        """Compute image scaling object for a given exposure.

        @param[in] exposure: exposure for which scaling is desired
        @param[in] dataRef: dataRef for exposure.
                               Not used, but in API so that users can switch between spatially variant
                               and invariant tasks
        """
        scale = self.scaleFromPhotoCalib(exposure.getPhotoCalib()).scale
        return ImageScaler(scale)

    def getPhotoCalib(self):
        """Get desired PhotoCalib

        @return calibration (lsst.afw.image.PhotoCalib) with fluxMag0 set appropriately for config.zeroPoint
        """
        return self._photoCalib

    def scaleFromPhotoCalib(self, calib):
        """Compute the scale for the specified PhotoCalib

        Compute scale, such that if pixelCalib describes the photometric zeropoint of a pixel
        then the following scales that pixel to the photometric zeropoint specified by config.zeroPoint:
            scale = computeScale(pixelCalib)
            pixel *= scale

        @return a pipeBase.Struct containing:
        - scale, as described above.

        @note: returns a struct to leave room for scaleErr in a future implementation.
        """
        fluxAtZeroPoint = calib.magnitudeToInstFlux(self.config.zeroPoint)
        return pipeBase.Struct(
            scale=1.0 / fluxAtZeroPoint,
        )

    def scaleFromFluxMag0(self, fluxMag0):
        """Compute the scale for the specified fluxMag0

        This is a wrapper around scaleFromPhotoCalib, which see for more information

        @param[in] fluxMag0
        @return a pipeBase.Struct containing:
        - scale, as described in scaleFromPhotoCalib.
        """
        calib = afwImage.makePhotoCalibFromCalibZeroPoint(fluxMag0, 0.0)
        return self.scaleFromPhotoCalib(calib)


class SpatialScaleZeroPointTask(ScaleZeroPointTask):
    """Compute spatially varying scale factor to scale exposures to a desired photometric zero point
    """
    ConfigClass = SpatialScaleZeroPointConfig
    _DefaultName = "scaleZeroPoint"

    def __init__(self, *args, **kwargs):
        ScaleZeroPointTask.__init__(self, *args, **kwargs)
        self.makeSubtask("selectFluxMag0")

    def run(self, exposure, dataRef):
        """Scale the specified exposure to the desired photometric zeropoint

        @param[in,out] exposure: exposure to scale; masked image is scaled in place
        @param[in] dataRef: dataRef for exposure

        @return a pipeBase.Struct containing:
        - imageScaler: the image scaling object used to scale exposure
        """
        imageScaler = self.computeImageScaler(exposure=exposure, dataRef=dataRef)
        mi = exposure.getMaskedImage()
        imageScaler.scaleMaskedImage(mi)
        return pipeBase.Struct(
            imageScaler=imageScaler,
        )

    def computeImageScaler(self, exposure, dataRef):
        """Compute image scaling object for a given exposure.

        @param[in] exposure: exposure for which scaling is desired. Only wcs and bbox are used.
        @param[in] dataRef: dataRef of exposure
                            dataRef.dataId used to retrieve all applicable fluxMag0's from a database.
        @return a SpatialImageScaler
        """

        wcs = exposure.getWcs()

        fluxMagInfoList = self.selectFluxMag0.run(dataRef.dataId).fluxMagInfoList

        xList = []
        yList = []
        scaleList = []

        for fluxMagInfo in fluxMagInfoList:
            # find center of field in tract coordinates
            if not fluxMagInfo.coordList:
                raise RuntimeError("no x,y data for fluxMagInfo")
            ctr = geom.Extent2D()
            for coord in fluxMagInfo.coordList:
                # accumulate x, y
                ctr += geom.Extent2D(wcs.skyToPixel(coord))
            # and find average x, y as the center of the chip
            ctr = geom.Point2D(ctr / len(fluxMagInfo.coordList))
            xList.append(ctr.getX())
            yList.append(ctr.getY())
            scaleList.append(self.scaleFromFluxMag0(fluxMagInfo.fluxMag0).scale)

        self.log.info("Found %d flux scales for interpolation: %s" % (len(scaleList),
                                                                      ["%0.4f"%(s) for s in scaleList]))
        return SpatialImageScaler(
            interpStyle=self.config.interpStyle,
            xList=xList,
            yList=yList,
            scaleList=scaleList,
        )