BagpipesSampler#

class niriss_tools.grism.BagpipesSampler(fit_instructions, veldisp=500.0)[source]#

Bagpipes model galaxy sampler.

Parameters:

fit_instructionsdict: A dictionary containing information about the model to be generated.
veldispfloat, optional: The velocity dispersion of the model galaxy in km/s. By default veldisp=500.

Methods Summary

`sample`(param_vector[, cont_only, rm_line, ...])	Regenerate a model spectrum from a sampled parameter vector.
`update_model_components`(param)	Generate a model object with the current parameters.

Methods Documentation

sample(param_vector, cont_only=False, rm_line=None, return_line_flux=False, **model_kwargs)[source]#

Regenerate a model spectrum from a sampled parameter vector.

Parameters:

param_vectorArrayLike: The array of parameters to be updated.
cont_onlybool, optional: If True, the model spectrum will be generated without any nebular emission. By default False.
rm_linelist[str] | None, optional: The names of one or more lines to exclude from the model spectrum, based on the Cloudy naming convention (see here for more details). By default None.
return_line_fluxbool, optional: If True, return the total line flux for all lines named in rm_line. By default False.
**model_kwargsdict, optional: Any additional keyword arguments to pass to ExtendedModelGalaxy.

Returns:

ArrayLike: A 2D array, containing the wavelengths and corresponding fluxes of the modelled galaxy spectrum.

update_model_components(param)[source]#

Generate a model object with the current parameters.

Originally from bagpipes.fitting.fitted_model, modified to allow for running in parallel (no attributes overwritten).

Parameters:

Returns: