HsmFwhm¶
- class lsst.pipe.tasks.functors.HsmFwhm(filt=None, dataset=None, noDup=None)¶
Bases:
Functor
Functor to calculate the PSF FWHM with second moments measured from the HsmShapeAlgorithm plugin.
This is in units of arcseconds, and assumes the hsc_rings_v1 skymap pixel scale of 0.168 arcseconds/pixel.
Notes
This conversion assumes the PSF is Gaussian, which is not always the case.
Attributes Summary
Columns required to perform calculation.
Do not explode by band if used on object table.
Short name of functor (suitable for column name/dict key).
Methods Summary
__call__
(data[, dropna])Call self as a function.
difference
(data1, data2, **kwargs)Computes difference between functor called on two different DataFrame/Handle objects.
fail
(df)multilevelColumns
(data[, columnIndex, ...])Returns columns needed by functor from multilevel dataset.
Attributes Documentation
- SIGMA2FWHM = 2.3548200450309493¶
- columns¶
Columns required to perform calculation.
- name = 'HSM Psf FWHM'¶
- noDup¶
Do not explode by band if used on object table.
- pixelScale = 0.168¶
- shortname¶
Short name of functor (suitable for column name/dict key).
Methods Documentation
- __call__(data, dropna=False)¶
Call self as a function.
- difference(data1, data2, **kwargs)¶
Computes difference between functor called on two different DataFrame/Handle objects.
- fail(df)¶
- multilevelColumns(data, columnIndex=None, returnTuple=False)¶
Returns columns needed by functor from multilevel dataset.
To access tables with multilevel column structure, the
DeferredDatasetHandle
orInMemoryDatasetHandle
needs to be passed either a list of tuples or a dictionary.- Parameters:
- datavarious
The data as either
DeferredDatasetHandle
, orInMemoryDatasetHandle
.- columnIndex (optional): pandas `~pandas.Index` object
Either passed or read in from
DeferredDatasetHandle
.- `returnTuple`
bool
If true, then return a list of tuples rather than the column dictionary specification. This is set to
True
byCompositeFunctor
in order to be able to combine columns from the various component functors.