lsst.ip.diffim g2ab44a21c2+9fec0bc9f1
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Public Member Functions | Public Attributes | Static Public Attributes | List of all members
lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelSpatialTask Class Reference
Inheritance diagram for lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelSpatialTask:

Public Member Functions

def __init__ (self, *args, **kwargs)
 
def computeVarianceMean (self, exposure)
 
def run (self, scienceExposure, templateExposure, subtractedExposure, psfMatchingKernel, spatiallyVarying=True, preConvKernel=None, templateMatched=True, preConvMode=False)
 

Public Attributes

 statsControl
 

Static Public Attributes

 ConfigClass = DecorrelateALKernelSpatialConfig
 

Detailed Description

Decorrelate the effect of convolution by Alard-Lupton matching kernel in image difference

Definition at line 762 of file imageDecorrelation.py.

Constructor & Destructor Documentation

◆ __init__()

def lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelSpatialTask.__init__ (   self,
args,
**  kwargs 
)
Create the image decorrelation Task

Parameters
----------
args :
    arguments to be passed to
    `lsst.pipe.base.task.Task.__init__`
kwargs :
    additional keyword arguments to be passed to
    `lsst.pipe.base.task.Task.__init__`

Definition at line 769 of file imageDecorrelation.py.

Member Function Documentation

◆ computeVarianceMean()

def lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelSpatialTask.computeVarianceMean (   self,
  exposure 
)
Compute the mean of the variance plane of `exposure`.

Definition at line 788 of file imageDecorrelation.py.

◆ run()

def lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelSpatialTask.run (   self,
  scienceExposure,
  templateExposure,
  subtractedExposure,
  psfMatchingKernel,
  spatiallyVarying = True,
  preConvKernel = None,
  templateMatched = True,
  preConvMode = False 
)
Perform decorrelation of an image difference exposure.

Decorrelates the diffim due to the convolution of the
templateExposure with the A&L psfMatchingKernel. If
`spatiallyVarying` is True, it utilizes the spatially varying
matching kernel via the `imageMapReduce` framework to perform
spatially-varying decorrelation on a grid of subExposures.

Parameters
----------
scienceExposure : `lsst.afw.image.Exposure`
   the science Exposure used for PSF matching
templateExposure : `lsst.afw.image.Exposure`
   the template Exposure used for PSF matching
subtractedExposure : `lsst.afw.image.Exposure`
   the subtracted Exposure produced by `ip_diffim.ImagePsfMatchTask.subtractExposures()`
psfMatchingKernel : an (optionally spatially-varying) PSF matching kernel produced
   by `ip_diffim.ImagePsfMatchTask.subtractExposures()`
spatiallyVarying : `bool`
   if True, perform the spatially-varying operation
preConvKernel : `lsst.meas.algorithms.Psf`
   if not none, the scienceExposure has been pre-filtered with this kernel. (Currently
   this option is experimental.)
templateMatched : `bool`, optional
   If True, the template exposure was matched (convolved) to the science exposure.
preConvMode : `bool`, optional
    If True, ``subtractedExposure`` is assumed to be a likelihood difference image
    and will be noise corrected as a likelihood image.

Returns
-------
results : `lsst.pipe.base.Struct`
    a structure containing:
    - ``correctedExposure`` : the decorrelated diffim

Definition at line 797 of file imageDecorrelation.py.

Member Data Documentation

◆ ConfigClass

lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelSpatialTask.ConfigClass = DecorrelateALKernelSpatialConfig
static

Definition at line 766 of file imageDecorrelation.py.

◆ statsControl

lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelSpatialTask.statsControl

Definition at line 783 of file imageDecorrelation.py.


The documentation for this class was generated from the following file: