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lsst.ip.diffim g5706f010af+e3acc9a70f
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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.