ModelExtendednessColumnAction#

class lsst.pipe.tasks.postprocess.ModelExtendednessColumnAction(*args, **kw)#

Bases: ExtendednessColumnActionBase

Attributes Summary

`bands`	The bands to make single-band outputs for.
`bands_combined`	Multiband classification column specialization.
`fluxerr_coefficent`	The coefficient to multiply the flux error by when adding to the model flux.
`fluxerr_stretch`	The factor to multiply flux error-scaled ratios by to derive extendedness.
`good_sn_min`	Minimum PSF S/N to include objects if min_n_good_to_shift_flux_ratio is > 0; ignored otherwise.
`max_reff_compact`	The maximum effective radius in pixels below which an object is classified as not extended, regardless of other parameter values.
`min_n_good_to_shift_flux_ratio`	Minimum number of objects with PSF S/N > good_sn_min and with size larger than max_reff_compact to use to compute the median PSF-to-model flux ratio, which is assumed to be 1 otherwise.
`model_column_flux`	The model flux column to use for computing the difference to to the S/N flux.
`model_column_flux_err`	The model flux error column to use for computing the difference to the S/N flux.
`model_flux_name`	The extended object model to use to compared to PSF model fluxes (`str`, default `'sersic'`)
`output_column`	Name of the output column.
`psf_column_flux`	The name of the PSF flux column.
`psf_column_flux_err`	The name of the PSF flux error column.
`size_column`	The column to use for applying size cuts.

Methods Summary

__call__(table)

This method must return a dict of computed columns.

Attributes Documentation

bands#: The bands to make single-band outputs for. (List, default ['u', 'g', 'r', 'i', 'z', 'y'])

bands_combined#: Multiband classification column specialization. Keys specify the name of the column and values are a comma-separated list of bands, all of which must be contained in the bands listed. (Dict, default {'griz': 'g,r,i,z'})

fluxerr_coefficent#: The coefficient to multiply the flux error by when adding to the model flux. (float, default 0.5)

fluxerr_stretch#: The factor to multiply flux error-scaled ratios by to derive extendedness. (float, default 5.0)

good_sn_min#: Minimum PSF S/N to include objects if min_n_good_to_shift_flux_ratio is > 0; ignored otherwise. (float, default 10.0)

max_reff_compact#: The maximum effective radius in pixels below which an object is classified as not extended, regardless of other parameter values. (float, default 0.25)

min_n_good_to_shift_flux_ratio#: Minimum number of objects with PSF S/N > good_sn_min and with size larger than max_reff_compact to use to compute the median PSF-to-model flux ratio, which is assumed to be 1 otherwise. If this value is not >0, the median flux ratio will be kept 1. (int, default 0)

model_column_flux#: The model flux column to use for computing the difference to to the S/N flux. Must contain the {band} and {model} templates. (str, default '{band}_{model}Flux')

model_column_flux_err#: The model flux error column to use for computing the difference to the S/N flux. Must contain the {band} and {model} templates. (str, default '{band}_{model}FluxErr')

model_flux_name#: The extended object model to use to compared to PSF model fluxes (str, default 'sersic')

output_column#: Name of the output column. Must contain the {band} template (str, default '{band}_model_extendedness')

psf_column_flux#: The name of the PSF flux column. Must contain the {band} template. (str, default '{band}_psfFlux')

psf_column_flux_err#: The name of the PSF flux error column. Must contain the {band} template. (str, default '{band}_psfFluxErr')

size_column#: The column to use for applying size cuts. Must contain the {axis} template. (str, default 'exponential_reff_{axis}')

Methods Documentation

__call__(table: Table) → dict[str, ndarray[tuple[Any, ...], dtype[_ScalarT]]]#: This method must return a dict of computed columns.