naimatic.main

A wrapper around naima to facilitate multiple model building and fitting.

Attributes

logger
parser
args

Functions

load_data(data_dict)	Load data from the provided dictionary of file paths.
model_func(data, model_cfg, radiative_models)	Compute the total flux for the given data and model configuration.
lnprior(pars, labels, priors_dict)	Compute the log-prior probability for the given parameters.
wrapped_model_func(pars, data, model_cfg, pdist, rmodels)	Wrapper for the model function to handle parameter extraction and units.
wrapped_lnprior_func(pars, labels, priors)	Wrapper for the log-prior function to handle parameter extraction.
main()

Module Contents

naimatic.main.logger

naimatic.main.parser

naimatic.main.args

naimatic.main.load_data(data_dict)

Load data from the provided dictionary of file paths.

naimatic.main.model_func(data, model_cfg, radiative_models)

Compute the total flux for the given data and model configuration.

naimatic.main.lnprior(pars, labels, priors_dict)

Compute the log-prior probability for the given parameters.

naimatic.main.wrapped_model_func(pars, data, model_cfg, pdist, rmodels)

Wrapper for the model function to handle parameter extraction and units.

naimatic.main.wrapped_lnprior_func(pars, labels, priors)

Wrapper for the log-prior function to handle parameter extraction.

naimatic.main.main()