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LSST Data Management Base Package
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Public Member Functions | |
def | __init__ (self, *args, **kwargs) |
def | run (self, scienceExposure, templateExposure, doWarping=True) |
def | subtractExposures (self, templateExposure, scienceExposure, *args) |
def | subtractMaskedImages (self, templateExposure, scienceExposure, *args) |
Static Public Attributes | |
ConfigClass = ZogyImagePsfMatchConfig | |
Task to perform Zogy PSF matching and image subtraction. This class inherits from ImagePsfMatchTask to contain the _warper subtask and related methods.
def lsst.ip.diffim.zogy.ZogyImagePsfMatchTask.__init__ | ( | self, | |
* | args, | ||
** | kwargs | ||
) |
Create the ImagePsfMatchTask.
Reimplemented from lsst.ip.diffim.imagePsfMatch.ImagePsfMatchTask.
Definition at line 1278 of file zogy.py.
def lsst.ip.diffim.zogy.ZogyImagePsfMatchTask.run | ( | self, | |
scienceExposure, | |||
templateExposure, | |||
doWarping = True |
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) |
Register, PSF-match, and subtract two Exposures, ``scienceExposure - templateExposure`` using the ZOGY algorithm. Parameters ---------- templateExposure : `lsst.afw.image.Exposure` exposure to be warped to scienceExposure. scienceExposure : `lsst.afw.image.Exposure` reference Exposure. doWarping : `bool` what to do if templateExposure's and scienceExposure's WCSs do not match: - if True then warp templateExposure to match scienceExposure - if False then raise an Exception Notes ----- Do the following, in order: - Warp templateExposure to match scienceExposure, if their WCSs do not already match - Compute subtracted exposure ZOGY image subtraction algorithm on the two exposures This is the new entry point of the task as of DM-25115. Returns ------- results : `lsst.pipe.base.Struct` containing these fields: - subtractedExposure: `lsst.afw.image.Exposure` The subtraction result. - warpedExposure: `lsst.afw.image.Exposure` or `None` templateExposure after warping to match scienceExposure
Definition at line 1281 of file zogy.py.
def lsst.ip.diffim.zogy.ZogyImagePsfMatchTask.subtractExposures | ( | self, | |
templateExposure, | |||
scienceExposure, | |||
* | templateFwhmPix | ||
) |
Register, Psf-match and subtract two Exposures. Do the following, in order: - Warp templateExposure to match scienceExposure, if their WCSs do not already match - Determine a PSF matching kernel and differential background model that matches templateExposure to scienceExposure - PSF-match templateExposure to scienceExposure - Compute subtracted exposure (see return values for equation). Parameters ---------- templateExposure : `lsst.afw.image.ExposureF` Exposure to PSF-match to scienceExposure scienceExposure : `lsst.afw.image.ExposureF` Reference Exposure templateFwhmPix : `float` FWHM (in pixels) of the Psf in the template image (image to convolve) scienceFwhmPix : `float` FWHM (in pixels) of the Psf in the science image candidateList : `list`, optional A list of footprints/maskedImages for kernel candidates; if `None` then source detection is run. - Currently supported: list of Footprints or measAlg.PsfCandidateF doWarping : `bool` What to do if ``templateExposure``` and ``scienceExposure`` WCSs do not match: - if `True` then warp ``templateExposure`` to match ``scienceExposure`` - if `False` then raise an Exception convolveTemplate : `bool` Convolve the template image or the science image - if `True`, ``templateExposure`` is warped if doWarping, ``templateExposure`` is convolved - if `False`, ``templateExposure`` is warped if doWarping, ``scienceExposure is`` convolved Returns ------- result : `lsst.pipe.base.Struct` An `lsst.pipe.base.Struct` containing these fields: - ``subtractedExposure`` : subtracted Exposure scienceExposure - (matchedImage + backgroundModel) - ``matchedImage`` : ``templateExposure`` after warping to match ``templateExposure`` (if doWarping true), and convolving with psfMatchingKernel - ``psfMatchingKernel`` : PSF matching kernel - ``backgroundModel`` : differential background model - ``kernelCellSet`` : SpatialCellSet used to determine PSF matching kernel
Reimplemented from lsst.ip.diffim.imagePsfMatch.ImagePsfMatchTask.
Definition at line 1331 of file zogy.py.
def lsst.ip.diffim.zogy.ZogyImagePsfMatchTask.subtractMaskedImages | ( | self, | |
templateMaskedImage, | |||
scienceMaskedImage, | |||
* | candidateList | ||
) |
Psf-match and subtract two MaskedImages. Do the following, in order: - PSF-match templateMaskedImage to scienceMaskedImage - Determine the differential background - Return the difference: scienceMaskedImage ((warped templateMaskedImage convolved with psfMatchingKernel) + backgroundModel) Parameters ---------- templateMaskedImage : `lsst.afw.image.MaskedImage` MaskedImage to PSF-match to ``scienceMaskedImage`` scienceMaskedImage : `lsst.afw.image.MaskedImage` Reference MaskedImage templateFwhmPix : `float` FWHM (in pixels) of the Psf in the template image (image to convolve) scienceFwhmPix : `float` FWHM (in pixels) of the Psf in the science image candidateList : `list`, optional A list of footprints/maskedImages for kernel candidates; if `None` then source detection is run. - Currently supported: list of Footprints or measAlg.PsfCandidateF Returns ------- results : `lsst.pipe.base.Struct` An `lsst.pipe.base.Struct` containing these fields: - ``subtractedMaskedImage`` : ``scienceMaskedImage`` - (matchedImage + backgroundModel) - ``matchedImage`` : templateMaskedImage convolved with psfMatchingKernel - `psfMatchingKernel`` : PSF matching kernel - ``backgroundModel`` : differential background model - ``kernelCellSet`` : SpatialCellSet used to determine PSF matching kernel
Reimplemented from lsst.ip.diffim.imagePsfMatch.ImagePsfMatchTask.
Definition at line 1334 of file zogy.py.
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static |