NanoJanskyErr

class lsst.pipe.tasks.functors.NanoJanskyErr(colFlux, colFluxErr=None, calib=None, **kwargs)

Bases: lsst.pipe.tasks.functors.Photometry

Attributes Summary

AB_FLUX_SCALE
COADD_ZP
FIVE_OVER_2LOG10
LOG_AB_FLUX_SCALE
columns Columns required to perform calculation
name Full name of functor (suitable for figure labels)
noDup
shortname 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
dn2MagErr(dn, dnErr, fluxMag0, fluxMag0Err)
dn2flux(dn, fluxMag0)
dn2fluxErr(dn, dnErr, fluxMag0, fluxMag0Err)
dn2mag(dn, fluxMag0)
fail(df)
hypot(a, b)
multilevelColumns(data[, columnIndex, …]) Returns columns needed by functor from multilevel dataset

Attributes Documentation

AB_FLUX_SCALE = 3630780547701.003
COADD_ZP = 27
FIVE_OVER_2LOG10 = 1.0857362047581296
LOG_AB_FLUX_SCALE = 12.56
columns

Columns required to perform calculation

name

Full name of functor (suitable for figure labels)

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

dn2MagErr(dn, dnErr, fluxMag0, fluxMag0Err)
dn2flux(dn, fluxMag0)
dn2fluxErr(dn, dnErr, fluxMag0, fluxMag0Err)
dn2mag(dn, fluxMag0)
fail(df)
classmethod hypot(a, b)
multilevelColumns(data, columnIndex=None, returnTuple=False)

Returns columns needed by functor from multilevel dataset

To access tables with multilevel column structure, the MultilevelParquetTable or DeferredDatasetHandle need to be passed either a list of tuples or a dictionary.

Parameters:
data : MultilevelParquetTable or DeferredDatasetHandle
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 by CompositeFunctor in order to be able to combine columns from the various component functors.