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def | __init__ (self, args, kwargs) |
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def | run (self, subExposure, expandedSubExposure, fullBBox, template, science, alTaskResult=None, psfMatchingKernel=None, preConvKernel=None, kwargs) |
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def | computeVarianceMean (self, exposure) |
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def | run (self, subExposure, expandedSubExposure, fullBBox, kwargs) |
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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 429 of file imageDecorrelation.py.
def lsst.ip.diffim.imageMapReduce.ImageMapper.run |
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self, |
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subExposure, |
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expandedSubExposure, |
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fullBBox, |
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kwargs |
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) |
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inherited |
Perform operation on `subExposure`.
To be implemented by subclasses. See class docstring for more
details. This method is given the `subExposure` which
is to be operated upon, and an `expandedSubExposure` which
will contain `subExposure` with additional surrounding
pixels. This allows for, for example, convolutions (which
should be performed on `expandedSubExposure`), to prevent the
returned sub-exposure from containing invalid pixels.
This method may return a new, processed sub-exposure which can
be be "stitched" back into a new resulting larger exposure
(depending on the paired, configured `ImageReducer`);
otherwise if it does not return an lsst.afw.image.Exposure, then the
`ImageReducer.config.mapper.reduceOperation`
should be set to 'none' and the result will be propagated
as-is.
Parameters
----------
subExposure : `lsst.afw.image.Exposure`
the sub-exposure upon which to operate
expandedSubExposure : `lsst.afw.image.Exposure`
the expanded sub-exposure upon which to operate
fullBBox : `lsst.afw.geom.BoundingBox`
the bounding box of the original exposure
kwargs :
additional keyword arguments propagated from
`ImageMapReduceTask.run`.
Returns
-------
result : `lsst.pipe.base.Struct`
A structure containing the result of the `subExposure` processing,
which may itself be of any type. See above for details. If it is an
`lsst.afw.image.Exposure` (processed sub-exposure), then the name in
the Struct should be 'subExposure'. This is implemented here as a
pass-through example only.
Definition at line 109 of file imageMapReduce.py.
def lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelMapper.run |
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self, |
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subExposure, |
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expandedSubExposure, |
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fullBBox, |
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template, |
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science, |
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alTaskResult = None , |
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psfMatchingKernel = None , |
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preConvKernel = None , |
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kwargs |
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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.afw.geom.BoundingBox`
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
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This `run` method accepts parameters identical to those of
`ImageMapper.run`, since it is called from the
`ImageMapperTask`. See that class for more information.
Definition at line 445 of file imageDecorrelation.py.