Classes
class	AlardLuptonPreconvolveSubtractConfig

class	AlardLuptonPreconvolveSubtractConnections

class	AlardLuptonPreconvolveSubtractTask

class	AlardLuptonSubtractBaseConfig

class	AlardLuptonSubtractConfig

class	AlardLuptonSubtractConnections

class	AlardLuptonSubtractTask

class	SubtractImageOutputConnections

class	SubtractInputConnections

class	SubtractScoreOutputConnections

Functions
	checkTemplateIsSufficient (templateExposure, logger, requiredTemplateFraction=0., exceptionMessage="")

	_subtractImages (science, template, backgroundModel=None)

	_shapeTest (exp1, exp2, fwhmExposureBuffer, fwhmExposureGrid)

	_interpolateImage (maskedImage, badMaskPlanes, fallbackValue=None)

Variables
tuple	_dimensions = ("instrument", "visit", "detector")

dict	_defaultTemplates = {"coaddName": "deep", "fakesType": ""}

Function Documentation

◆ _interpolateImage()

lsst.ip.diffim.subtractImages._interpolateImage	(	maskedImage,
		badMaskPlanes,
		fallbackValue = None )

protected

Replace masked image pixels with interpolated values.

Parameters
----------
maskedImage : `lsst.afw.image.MaskedImage`
    Image on which to perform interpolation.
badMaskPlanes : `list` of `str`
    List of mask planes to interpolate over.
fallbackValue : `float`, optional
    Value to set when interpolation fails.

Returns
-------
result: `float`
    The number of masked pixels that were replaced.

Definition at line 1170 of file subtractImages.py.

def _interpolateImage(maskedImage, badMaskPlanes, fallbackValue=None):
    """Replace masked image pixels with interpolated values.
 
    Parameters
    ----------
    maskedImage : `lsst.afw.image.MaskedImage`
        Image on which to perform interpolation.
    badMaskPlanes : `list` of `str`
        List of mask planes to interpolate over.
    fallbackValue : `float`, optional
        Value to set when interpolation fails.
 
    Returns
    -------
    result: `float`
        The number of masked pixels that were replaced.
    """
    imgBadMaskPlanes = [
        maskPlane for maskPlane in badMaskPlanes if maskPlane in maskedImage.mask.getMaskPlaneDict()
    ]
 
    image = maskedImage.image.array
    badPixels = (maskedImage.mask.array & maskedImage.mask.getPlaneBitMask(imgBadMaskPlanes)) > 0
    image[badPixels] = np.nan
    if fallbackValue is None:
        fallbackValue = np.nanmedian(image)
    # For this initial implementation, skip the interpolation and just fill with
    # the median value.
    image[badPixels] = fallbackValue
    return np.sum(badPixels)

◆ _shapeTest()

lsst.ip.diffim.subtractImages._shapeTest	(	exp1,
		exp2,
		fwhmExposureBuffer,
		fwhmExposureGrid )

protected

Determine that the PSF of ``exp1`` is not wider than that of ``exp2``.

Parameters
----------
exp1 : `~lsst.afw.image.Exposure`
    Exposure with the reference point spread function (PSF) to evaluate.
exp2 : `~lsst.afw.image.Exposure`
    Exposure with a candidate point spread function (PSF) to evaluate.
fwhmExposureBuffer : `float`
    Fractional buffer margin to be left out of all sides of the image
    during the construction of the grid to compute mean PSF FWHM in an
    exposure, if the PSF is not available at its average position.
fwhmExposureGrid : `int`
    Grid size to compute the mean FWHM in an exposure, if the PSF is not
    available at its average position.
Returns
-------
result : `bool`
    True if ``exp1`` has a PSF that is not wider than that of ``exp2`` in
    either dimension.

Definition at line 1128 of file subtractImages.py.

def _shapeTest(exp1, exp2, fwhmExposureBuffer, fwhmExposureGrid):
    """Determine that the PSF of ``exp1`` is not wider than that of ``exp2``.
 
    Parameters
    ----------
    exp1 : `~lsst.afw.image.Exposure`
        Exposure with the reference point spread function (PSF) to evaluate.
    exp2 : `~lsst.afw.image.Exposure`
        Exposure with a candidate point spread function (PSF) to evaluate.
    fwhmExposureBuffer : `float`
        Fractional buffer margin to be left out of all sides of the image
        during the construction of the grid to compute mean PSF FWHM in an
        exposure, if the PSF is not available at its average position.
    fwhmExposureGrid : `int`
        Grid size to compute the mean FWHM in an exposure, if the PSF is not
        available at its average position.
    Returns
    -------
    result : `bool`
        True if ``exp1`` has a PSF that is not wider than that of ``exp2`` in
        either dimension.
    """
    try:
        shape1 = getPsfFwhm(exp1.psf, average=False)
        shape2 = getPsfFwhm(exp2.psf, average=False)
    except lsst.pex.exceptions.InvalidParameterError:
        shape1 = evaluateMeanPsfFwhm(exp1,
                                     fwhmExposureBuffer=fwhmExposureBuffer,
                                     fwhmExposureGrid=fwhmExposureGrid
                                     )
        shape2 = evaluateMeanPsfFwhm(exp2,
                                     fwhmExposureBuffer=fwhmExposureBuffer,
                                     fwhmExposureGrid=fwhmExposureGrid
                                     )
        return shape1 <= shape2
 
    # Results from getPsfFwhm is a tuple of two values, one for each dimension.
    xTest = shape1[0] <= shape2[0]
    yTest = shape1[1] <= shape2[1]
    return xTest | yTest
 
 

◆ _subtractImages()

lsst.ip.diffim.subtractImages._subtractImages	(	science,
		template,
		backgroundModel = None )

protected

Subtract template from science, propagating relevant metadata.

Parameters
----------
science : `lsst.afw.Exposure`
    The input science image.
template : `lsst.afw.Exposure`
    The template to subtract from the science image.
backgroundModel : `lsst.afw.MaskedImage`, optional
    Differential background model

Returns
-------
difference : `lsst.afw.Exposure`
    The subtracted image.

Definition at line 1104 of file subtractImages.py.

def _subtractImages(science, template, backgroundModel=None):
    """Subtract template from science, propagating relevant metadata.
 
    Parameters
    ----------
    science : `lsst.afw.Exposure`
        The input science image.
    template : `lsst.afw.Exposure`
        The template to subtract from the science image.
    backgroundModel : `lsst.afw.MaskedImage`, optional
        Differential background model
 
    Returns
    -------
    difference : `lsst.afw.Exposure`
        The subtracted image.
    """
    difference = science.clone()
    if backgroundModel is not None:
        difference.maskedImage -= backgroundModel
    difference.maskedImage -= template.maskedImage
    return difference
 
 

◆ checkTemplateIsSufficient()

lsst.ip.diffim.subtractImages.checkTemplateIsSufficient	(	templateExposure,
		logger,
		requiredTemplateFraction = 0.,
		exceptionMessage = "" )

Raise NoWorkFound if template coverage < requiredTemplateFraction

Parameters
----------
templateExposure : `lsst.afw.image.ExposureF`
    The template exposure to check
logger : `lsst.log.Log`
    Logger for printing output.
requiredTemplateFraction : `float`, optional
    Fraction of pixels of the science image required to have coverage
    in the template.
exceptionMessage : `str`, optional
    Message to include in the exception raised if the template coverage
    is insufficient.

Returns
-------
templateCoverageFraction: `float`
    Fraction of pixels in the template with data.

Raises
------
lsst.pipe.base.NoWorkFound
    Raised if fraction of good pixels, defined as not having NO_DATA
    set, is less than the requiredTemplateFraction

Definition at line 1060 of file subtractImages.py.

                              exceptionMessage=""):
    """Raise NoWorkFound if template coverage < requiredTemplateFraction
 
    Parameters
    ----------
    templateExposure : `lsst.afw.image.ExposureF`
        The template exposure to check
    logger : `lsst.log.Log`
        Logger for printing output.
    requiredTemplateFraction : `float`, optional
        Fraction of pixels of the science image required to have coverage
        in the template.
    exceptionMessage : `str`, optional
        Message to include in the exception raised if the template coverage
        is insufficient.
 
    Returns
    -------
    templateCoverageFraction: `float`
        Fraction of pixels in the template with data.
 
    Raises
    ------
    lsst.pipe.base.NoWorkFound
        Raised if fraction of good pixels, defined as not having NO_DATA
        set, is less than the requiredTemplateFraction
    """
    # Count the number of pixels with the NO_DATA mask bit set
    # counting NaN pixels is insufficient because pixels without data are often intepolated over)
    pixNoData = np.count_nonzero(templateExposure.mask.array
                                 & templateExposure.mask.getPlaneBitMask('NO_DATA'))
    pixGood = templateExposure.getBBox().getArea() - pixNoData
    templateCoverageFraction = pixGood/templateExposure.getBBox().getArea()
    logger.info("template has %d good pixels (%.1f%%)", pixGood, 100*templateCoverageFraction)
 
    if templateCoverageFraction < requiredTemplateFraction:
        message = ("Insufficient Template Coverage. (%.1f%% < %.1f%%)" % (
                   100*templateCoverageFraction,
                   100*requiredTemplateFraction))
        raise lsst.pipe.base.NoWorkFound(message + " " + exceptionMessage)
    return templateCoverageFraction
 
 

Variable Documentation

◆ _defaultTemplates

dict lsst.ip.diffim.subtractImages._defaultTemplates = {"coaddName": "deep", "fakesType": ""}

protected

Definition at line 43 of file subtractImages.py.

◆ _dimensions

tuple lsst.ip.diffim.subtractImages._dimensions = ("instrument", "visit", "detector")

protected

Definition at line 42 of file subtractImages.py.

Classes

Functions

Variables

Function Documentation

◆ _interpolateImage()

◆ _shapeTest()

◆ _subtractImages()

◆ checkTemplateIsSufficient()

Variable Documentation

◆ _defaultTemplates

◆ _dimensions