CatalogExposurePsfs

class lsst.meas.extensions.multiprofit.fit_coadd_multiband.CatalogExposurePsfs(*, dataId: ~lsst.daf.butler.dimensions._coordinate.DataCoordinate | dict = <factory>, catalog: ~lsst.afw.table.SourceCatalog | None = None, exposure: ~lsst.afw.image._exposure._exposureContinued.Exposure | None = None, id_tract_patch: int = 0, metadata: dict = <factory>, table_psf_fits: ~astropy.table.table.Table = <factory>, channel: ~lsst.gauss2d.fit._gauss2d_fit.Channel = <factory>, config_fit: ~lsst.meas.extensions.multiprofit.fit_coadd_multiband.MultiProFitSourceConfig = <factory>)

Bases: CatalogExposureInputs, CatalogExposureSourcesABC

Input data from lsst pipelines, parsed for MultiProFit.

Attributes Summary

band	Return the name of the exposure's passband (e.g.
calib
catalog
channel
config_fit
dataId
exposure
id_tract_patch
metadata
table_psf_fits

Methods Summary

get_catalog()	Return a row-iterable catalog covering an exposure.
get_psf_model(source)	Get the PSF model for a given source row.
get_source_observation(source, **kwargs)	Get the Observation for a given source row.

Attributes Documentation

band

calib

catalog: afwTable.SourceCatalog | None = None

channel: Channel = FieldInfo(annotation=Channel, required=True, title="Channel for the image's band")

config_fit: MultiProFitSourceConfig = FieldInfo(annotation=MultiProFitSourceConfig, required=True, title='Config for fitting options')

dataId: DataCoordinate | dict = FieldInfo(annotation=Union[DataCoordinate, dict], required=True, title="A DataCoordinate or dict containing a 'band' item")

exposure: afwImage.Exposure | None = None

id_tract_patch: int = 0

metadata: dict = FieldInfo(annotation=dict, required=False, default_factory=dict, title='Arbitrary metadata')

table_psf_fits: Table = FieldInfo(annotation=Table, required=True, title='A table of PSF fit parameters for each source')

Methods Documentation

get_catalog()

Return a row-iterable catalog covering an exposure.

get_psf_model(source)

Get the PSF model for a given source row.

Parameters:

paramsMapping[str, Any]

A mapping with parameter values for the best-fit PSF model at the centroid of a single source.

Returns:

psf_modellsst.gauss2d.fit.PsfModel

A PsfModel object initialized with the best-fit parameters, or None if PSF rebuilding failed for an expected reason (i.e. the input PSF fit table has a flag set).

get_source_observation(source, **kwargs) → ObservationD

Get the Observation for a given source row.

Parameters:

sourceMapping[str, Any]

A mapping with any values needed to retrieve an observation for a single source.

**kwargs

Additional keyword arguments not used during fitting.

Returns:

observationlsst.gauss2d.fit.Observation

An Observation object with suitable data for fitting parametric models of the source, or None if the observation cannot be fit.