Mag¶
- class lsst.pipe.tasks.functors.Mag(col, calib=None, **kwargs)¶
Bases:
Functor
Compute calibrated magnitude
Takes a
calib
argument, which returns the flux at mag=0 ascalib.getFluxMag0()
. If not provided, then the defaultfluxMag0
is 63095734448.0194, which is default for HSC. This default should be removed in DM-21955This calculation hides warnings about invalid values and dividing by zero.
As for all functors, a
dataset
andfilt
kwarg should be provided upon initialization. Unlike the defaultFunctor
, however, the default dataset for aMag
is'meas'
, rather than'ref'
.- Parameters:
- col
str
Name of flux column from which to compute magnitude. Can be parseable by
lsst.pipe.tasks.functors.fluxName
function—that is, you can pass'modelfit_CModel'
instead of'modelfit_CModel_instFlux'
) and it will understand.- calib
lsst.afw.image.calib.Calib
(optional) Object that knows zero point.
- col
Attributes Summary
Columns required to perform calculation
Full name of functor (suitable for figure labels)
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 ParquetTable objects
fail
(df)multilevelColumns
(data[, columnIndex, ...])Returns columns needed by functor from multilevel dataset
Attributes Documentation
- columns¶
- name¶
- noDup¶
- 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 ParquetTable 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
MultilevelParquetTable
orDeferredDatasetHandle
need to be passed either a list of tuples or a dictionary.- Parameters:
- data
MultilevelParquetTable
orDeferredDatasetHandle
- columnIndex (optional): 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.
- data