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def | runDataRef (self, dataRef, coordList, makeDataRefList=True, selectDataList=None) |
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def | run (self, coordList) |
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Select up to a maximum number of the best-seeing images using their Wcs.
Definition at line 363 of file selectImages.py.
◆ run()
def lsst.pipe.tasks.selectImages.BaseSelectImagesTask.run |
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self, |
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coordList |
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inherited |
Select images suitable for coaddition in a particular region
@param[in] coordList: list of coordinates defining region of interest; if None then select all images
subclasses may add additional keyword arguments, as required
@return a pipeBase Struct containing:
- exposureInfoList: a list of exposure information objects (subclasses of BaseExposureInfo),
which have at least the following fields:
- dataId: data ID dictionary
- coordList: ICRS coordinates of the corners of the exposure (list of lsst.geom.SpherePoint)
Definition at line 76 of file selectImages.py.
◆ runDataRef()
def lsst.pipe.tasks.selectImages.BestSeeingWcsSelectImagesTask.runDataRef |
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self, |
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dataRef, |
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coordList, |
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makeDataRefList = True , |
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selectDataList = None |
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Select the best-seeing images in the selectDataList that overlap the patch.
Parameters
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dataRef : `lsst.daf.persistence.ButlerDataRef`
Data reference for coadd/tempExp (with tract, patch)
coordList : `list` of `lsst.geom.SpherePoint`
List of ICRS sky coordinates specifying boundary of patch
makeDataRefList : `boolean`, optional
Construct a list of data references?
selectDataList : `list` of `SelectStruct`
List of SelectStruct, to consider for selection
Returns
-------
result : `lsst.pipe.base.Struct`
Result struct with components:
- ``exposureList``: the selected exposures
(`list` of `lsst.pipe.tasks.selectImages.BaseExposureInfo`).
- ``dataRefList``: the optional data references corresponding to
each element of ``exposureList``
(`list` of `lsst.daf.persistence.ButlerDataRef`, or `None`).
Reimplemented from lsst.pipe.tasks.selectImages.WcsSelectImagesTask.
Definition at line 368 of file selectImages.py.
◆ ConfigClass
The documentation for this class was generated from the following file: