LinearGaussians

class lsst.multiprofit.LinearGaussians(*, gaussians_fixed: Gaussians, gaussians_free: tuple[tuple[Gaussians, ParameterD], ...])

Bases: BaseModel

Helper for linear least-squares fitting of Gaussian mixtures.

Attributes Summary

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Summary

make(component_mixture[, channel, is_psf])

Make a LinearGaussians from a ComponentMixture.

Attributes Documentation

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Documentation

static make(component_mixture: ComponentMixture, channel: Channel = None, is_psf: bool = False) → Self

Make a LinearGaussians from a ComponentMixture.

Parameters

component_mixture

A component mixture to initialize Gaussians from.

channel

The channel all Gaussians are applicable for.

is_psf

Whether the components are a smoothing kernel.

Returns

lineargaussians

A LinearGaussians instance initialized with the appropriate fixed/free gaussians.