MultiProFitPsfTask

class lsst.meas.extensions.multiprofit.fit_coadd_psf.MultiProFitPsfTask(**kwargs)

Bases: CatalogPsfFitter, CoaddPsfFitSubTask

Fit a Gaussian mixture PSF model at cataloged locations.

This task uses MultiProFit to fit a PSF model to the coadd PSF, evaluated at the centroid of each source in the corresponding catalog.

Parameters

**kwargs

Keyword arguments to pass to CoaddPsfFitSubTask.__init__.

Methods Summary

check_source(source, config)	Check whether a source can have its PSF model fit.
initialize_model(model, config_data[, ...])	Initialize a ModelD for a single source row.
run(catexp, **kwargs)	Run the MultiProFit PSF task on a catalog-exposure pair.

Methods Documentation

check_source(source, config)

Check whether a source can have its PSF model fit.

Parameters

source

The source row to check.

config

The fitter config.

Notes

Derived classes may use the source row as they deem fit. For example, if the source has poor quality flags, a fitter may choose not to fit the PSF model if it will not end up being used anyway.

initialize_model(model: ModelD, config_data: CatalogPsfFitterConfigData, limits_x: LimitsD = None, limits_y: LimitsD = None) → None

Initialize a ModelD for a single source row.

Parameters

model

The model object to initialize.

config_data

The fitter config with cached data.

limits_x

Hard limits for the source’s x centroid.

limits_y

Hard limits for the source’s y centroid.

run(catexp: CatalogExposurePsf, **kwargs) → Struct

Run the MultiProFit PSF task on a catalog-exposure pair.

Parameters

catexp

An exposure to fit a model PSF at the position of all sources in the corresponding catalog.

**kwargs

Additional keyword arguments to pass to self.fit.

Returns

catalog

A table with fit parameters for the PSF model at the location of each source.