lsst.ip.diffim g10313568a2+29323cc9ef
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Public Member Functions | |
def | __init__ (self, *args, **kwargs) |
def | run (self, subExposure, expandedSubExposure, fullBBox, template, science, alTaskResult=None, psfMatchingKernel=None, preConvKernel=None, **kwargs) |
Static Public Attributes | |
ConfigClass = DecorrelateALKernelConfig | |
Task to be used as an ImageMapper for performing A&L decorrelation on subimages on a grid across a A&L difference image. This task subclasses DecorrelateALKernelTask in order to implement all of that task's configuration parameters, as well as its `run` method.
Definition at line 662 of file imageDecorrelation.py.
def lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelMapper.__init__ | ( | self, | |
* | args, | ||
** | kwargs | ||
) |
Create the image decorrelation Task Parameters ---------- args : arguments to be passed to ``lsst.pipe.base.task.Task.__init__`` kwargs : keyword arguments to be passed to ``lsst.pipe.base.task.Task.__init__``
Reimplemented from lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelTask.
Definition at line 673 of file imageDecorrelation.py.
def lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelMapper.run | ( | self, | |
subExposure, | |||
expandedSubExposure, | |||
fullBBox, | |||
template, | |||
science, | |||
alTaskResult = None , |
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psfMatchingKernel = None , |
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preConvKernel = None , |
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** | kwargs | ||
) |
Perform decorrelation operation on `subExposure`, using `expandedSubExposure` to allow for invalid edge pixels arising from convolutions. This method performs A&L decorrelation on `subExposure` using local measures for image variances and PSF. `subExposure` is a sub-exposure of the non-decorrelated A&L diffim. It also requires the corresponding sub-exposures of the template (`template`) and science (`science`) exposures. Parameters ---------- subExposure : `lsst.afw.image.Exposure` the sub-exposure of the diffim expandedSubExposure : `lsst.afw.image.Exposure` the expanded sub-exposure upon which to operate fullBBox : `lsst.geom.Box2I` the bounding box of the original exposure template : `lsst.afw.image.Exposure` the corresponding sub-exposure of the template exposure science : `lsst.afw.image.Exposure` the corresponding sub-exposure of the science exposure alTaskResult : `lsst.pipe.base.Struct` the result of A&L image differencing on `science` and `template`, importantly containing the resulting `psfMatchingKernel`. Can be `None`, only if `psfMatchingKernel` is not `None`. psfMatchingKernel : Alternative parameter for passing the A&L `psfMatchingKernel` directly. preConvKernel : If not None, then pre-filtering was applied to science exposure, and this is the pre-convolution kernel. kwargs : additional keyword arguments propagated from `ImageMapReduceTask.run`. Returns ------- A `pipeBase.Struct` containing: - ``subExposure`` : the result of the `subExposure` processing. - ``decorrelationKernel`` : the decorrelation kernel, currently not used. Notes ----- This `run` method accepts parameters identical to those of `ImageMapper.run`, since it is called from the `ImageMapperTask`. See that class for more information.
Reimplemented from lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelTask.
Definition at line 676 of file imageDecorrelation.py.
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static |
Definition at line 670 of file imageDecorrelation.py.