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lsst.afw g712618294e+4813a5392e
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Public Member Functions | |
| def | __init__ (self, filters, image, mask, variance, psfs=None) |
| def | computePsfKernelImage (self, position) |
| def | computePsfImage (self, position=None) |
| def | getPsfs (self) |
Static Public Member Functions | |
| def | fromExposures (filters, singles) |
| def | fromArrays (filters, image, mask, variance, bbox=None) |
| def | fromKwargs (filters, filterKwargs, singleType=ExposureF, **kwargs) |
| def | fromButler (butler, bands, *args, **kwargs) |
MultibandExposure class This class acts as a container for multiple `afw.Exposure` objects. All exposures must have the same bounding box, and the associated images must all have the same data type. See `MultibandTripleBase` for parameter definitions.
Definition at line 90 of file _multiband.py.
| def lsst.afw.image.exposure._multiband.MultibandExposure.__init__ | ( | self, | |
| filters, | |||
| image, | |||
| mask, | |||
| variance, | |||
psfs = None |
|||
| ) |
Reimplemented from lsst.afw.image.image._multiband.MultibandTripleBase.
Definition at line 99 of file _multiband.py.
| def lsst.afw.image.exposure._multiband.MultibandExposure.computePsfImage | ( | self, | |
position = None |
|||
| ) |
Get a multiband PSF image
The PSF Kernel Image is computed for each band
and combined into a (filter, y, x) array and stored
as `self._psfImage`.
The result is not cached, so if the same PSF is expected
to be used multiple times it is a good idea to store the
result in another variable.
Parameters
----------
position: `Point2D` or `tuple`
Coordinates to evaluate the PSF. If `position` is `None`
then `Psf.getAveragePosition()` is used.
Returns
-------
self._psfImage: array
The multiband PSF image.
Definition at line 224 of file _multiband.py.
| def lsst.afw.image.exposure._multiband.MultibandExposure.computePsfKernelImage | ( | self, | |
| position | |||
| ) |
Get a multiband PSF image
The PSF Kernel Image is computed for each band
and combined into a (filter, y, x) array and stored
as `self._psfImage`.
The result is not cached, so if the same PSF is expected
to be used multiple times it is a good idea to store the
result in another variable.
Parameters
----------
position: `Point2D` or `tuple`
Coordinates to evaluate the PSF.
Returns
-------
self._psfImage: array
The multiband PSF image.
Definition at line 197 of file _multiband.py.
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static |
Construct a MultibandExposure from a collection of arrays see `tripleFromArrays` for a description of parameters
Definition at line 115 of file _multiband.py.
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static |
Load a multiband exposure from a butler
Because each band is stored in a separate exposure file,
this method can be used to load all of the exposures for
a given set of bands
Parameters
----------
butler: `lsst.daf.butler.Butler`
Butler connection to use to load the single band
calibrated images
bands: `list` or `str`
List of names for each band
args: `list`
Arguments to the Butler.
kwargs: `dict`
Keyword arguments to pass to the Butler
that are the same in all bands.
Returns
-------
result: `MultibandExposure`
The new `MultibandExposure` created by combining all of the
single band exposures.
Definition at line 165 of file _multiband.py.
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static |
Construct a MultibandImage from a collection of single band images see `tripleFromExposures` for a description of parameters
Definition at line 106 of file _multiband.py.
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static |
Build a MultibandImage from a set of keyword arguments see `makeTripleFromKwargs` for a description of parameters
Definition at line 123 of file _multiband.py.
| def lsst.afw.image.exposure._multiband.MultibandExposure.getPsfs | ( | self | ) |
Extract the PSF model in each band
Returns
-------
psfs : `list` of `lsst.afw.detection.Psf`
The PSF in each band
Definition at line 252 of file _multiband.py.