ModelMinimizer#

class jetset.minimizer.ModelMinimizer(minimizer_type)[source]#

Bases: object

High-level entry point for model fitting workflows.

Notes

Handles data preparation, fit-range filtering, backend minimizer selection (SciPy, Minuit, or Sherpa), and packaging of best-fit results.

Methods Summary

`fit`(fit_model, sed_data, nu_fit_start, ...)	Fit.
`get_fit_results`(fit_model, nu_fit_start, ...)	Return fit results.
`load_model`(file_name)	Load object state from disk.
`plot_corr_matrix`()	Plot corr matrix.
`reset_to_best_fit`()	Reset model parameters to stored best-fit solution.
`save_model`(file_name)	Save object state to disk.
`show_fit_warnings`()	Print warnings collected during fitting.

Methods Documentation

fit(fit_model, sed_data, nu_fit_start, nu_fit_stop, fitname=None, fit_workplace=None, loglog=False, silent=False, get_conf_int=False, max_ev=0, use_fake_err=False, use_UL=False, skip_minimizer=False, repeat=1)[source]#

Fit.

Parameters:

fit_model (object) – Model instance used for fitting.
sed_data (object) – Observational SED data container.
nu_fit_start (float) – Lower bound of the fit range in Hz.
nu_fit_stop (float) – Upper bound of the fit range in Hz.
fitname (object, optional) – Name assigned to the fit run.
fit_workplace (path, optional) – Workplace/output configuration object.
loglog (bool, optional) – If True, operate in log10 space.
silent (bool, optional) – If True, suppress informational output.
get_conf_int (bool, optional) – If True, use confidence-interval initialization strategy.
max_ev (int, optional) – Maximum number of optimizer function evaluations.
use_fake_err (bool, optional) – If True, enable fake err.
use_UL (bool, optional) – If True, enable ul.
skip_minimizer (bool, optional) – If True, skip minimizer.
repeat (int, optional) – Number of repeated minimization passes.

Returns:

Computed value.

Return type:

object

get_fit_results(fit_model, nu_fit_start, nu_fit_stop, fitname, silent=False, loglog=False)[source]#

Return fit results.

Parameters:

fit_model (object) – Model instance used for fitting.
nu_fit_start (float) – Lower bound of the fit range in Hz.
nu_fit_stop (nu_fit_start : floa) – Upper bound of the fit range in Hz.
fitname (str) – Name assigned to the fit run.
silent (bool, optional) – If True, suppress informational output.
loglog (bool, optional) – If True, operate in log10 space.

Returns:

Requested value.

Return type:

object

classmethod load_model(file_name)[source]#

Load object state from disk.

Parameters:: file_name (object) – Input/output file path.
Returns:: Loaded object.
Return type:: object

plot_corr_matrix()[source]#

Plot corr matrix.

Returns:: Plot object or generated visualization.
Return type:: object

reset_to_best_fit()[source]#

Reset model parameters to stored best-fit solution.

Notes

Also refreshes per-parameter best-fit values and errors.

save_model(file_name)[source]#

Save object state to disk.

Parameters:: file_name (object) – Input/output file path.

show_fit_warnings()[source]#

Print warnings collected during fitting.

Notes

Warnings are stored in self.minimizer._post_fit_warnings.

ModelMinimizer

Contents

ModelMinimizer#