FitModel

class jetset.model_manager.FitModel(elec_distr=None, jet=None, name='no-name', out_dir=None, flag=None, template=None, loglog_poly=None, analytical=None, nu_size=200, cosmo=None, composite_expr=None, **keywords)

Bases: Model

Composite spectral model used for fitting observational datasets.

Notes

Combines one or more component models (for example, jets and templates), exposes a unified parameter interface, and evaluates either summed components or user-defined composite expressions.

Attributes Summary

composite_expr

Composite expr.

Methods Summary

add_component(m)	Add component.
del_component(m)	Del component.
eval([nu, fill_SED, get_model, loglog, ...])	Evaluate model output.
free(model, par_name)	Free.
free_all()	Set all model parameters to free state.
freeze(model, par_name)	Freeze.
freeze_all()	Freeze all model parameters.
get(model, par_name, *args)	Get.
get_par_by_name(model, par_name)	Return par by name.
link_par(par_name, from_model, to_model)	Link par.
load_model(file_name_or_obj[, from_string])	Load object state from disk.
plot_model([plot_obj, clean, sed_data, ...])	Plot model.
sed_tables_dict([restframe])	Sed tables dict.
set(model, par_name, *args, **kw)	Set.
set_fit_range([down_tol, up_tol])	Set fit range.
set_nu_grid([nu_min, nu_max, nu_size])	Set nu grid.
set_par(model, par_name, val)	Set par.
show_model()	Print full composite-model summary and component details.
show_model_components()	Print a concise overview of component models.

Attributes Documentation

composite_expr

Composite expr.

Returns:

Requested value.

Return type:

object

Methods Documentation

add_component(m)

Add component.

Parameters:

m (object) – Model/component object.

del_component(m)

Del component.

Parameters:

m (object) – Model/component object.

eval(nu=None, fill_SED=True, get_model=False, loglog=False, label=None, phys_output=False)

Evaluate model output.

Parameters:

• nu (object, optional) – Frequency values in Hz.

• fill_SED (bool, optional) – If True, store evaluated values into SED containers.

• get_model (bool, optional) – If True, return model values.

• loglog (bool, optional) – If True, operate in log10 space.

• label (object, optional) – Label used in output or plots.

• phys_output (bool, optional) – If True, return physical-output quantities when available.

Returns:

Computed value.

Return type:

object

free(model, par_name)

Free.

Parameters:

• model (object) – Model instance.

• par_name (object) – Parameter name.

free_all()

Set all model parameters to free state.

Notes

Delegates to CompositeModelParameterArray.free_all.

freeze(model, par_name)

Freeze.

Parameters:

• model (object) – Model instance.

• par_name (object) – Parameter name.

freeze_all()

Freeze all model parameters.

Notes

Delegates to CompositeModelParameterArray.freeze_all.

get(model, par_name, *args)

Get.

Parameters:

• model (object) – Model instance.

• par_name (object) – Parameter name.

• *args (tuple) – Additional positional arguments.

get_par_by_name(model, par_name)

Return par by name.

Parameters:

• model (object) – Model instance.

• par_name (object) – Parameter name.

Returns:

Requested value.

Return type:

object

link_par(par_name, from_model, to_model)

Link par.

Parameters:

• par_name (object) – Parameter name.

• from_model (object) – Source model/component for parameter linking.

• to_model (object) – Destination model/component for parameter linking.

classmethod load_model(file_name_or_obj, from_string=False)

Load object state from disk.

Parameters:

• file_name_or_obj (object) – Serialized model path or already-open object.

• from_string (bool, optional) – If True, deserialize from an in-memory string payload.

Returns:

Loaded object.

Return type:

object

plot_model(plot_obj=None, clean=False, sed_data=None, frame='obs', skip_components=False, label=None, skip_sub_components=False, density=False)

Plot model.

Parameters:

• plot_obj (object, optional) – Existing plot object to update.

• clean (bool, optional) – If True, clear previously plotted content before plotting.

• sed_data (object, optional) – Observational SED data container.

• frame (str, optional) – Reference frame for data/model values.

• skip_components (bool, optional) – If True, skip components.

• label (object, optional) – Label used in output or plots.

• skip_sub_components (bool, optional) – If True, skip sub components.

• density (bool, optional) – If True, use density representation instead of integrated quantity.

Returns:

Plot object or generated visualization.

Return type:

object

sed_tables_dict(restframe='obs')

Sed tables dict.

Parameters:

restframe (str, optional) – Target rest frame for output.

Returns:

Computed value.

Return type:

object

set(model, par_name, *args, **kw)

Set.

Parameters:

• model (object) – Model instance.

• par_name (object) – Parameter name.

• *args (tuple) – Additional positional arguments.

• **kw (dict) – Additional keyword-value mapping.

set_fit_range(down_tol=0.1, up_tol=100)

Set fit range.

Parameters:

• down_tol (float, optional) – Lower tolerance for parameter scans/intervals.

• up_tol (int, optional) – Upper tolerance for parameter scans/intervals.

set_nu_grid(nu_min=None, nu_max=None, nu_size=None)

Set nu grid.

Parameters:

• nu_min (object, optional) – Minimum frequency in Hz.

• nu_max (object, optional) – Maximum frequency in Hz.

• nu_size (object, optional) – Number of points for frequency grids.

set_par(model, par_name, val)

Set par.

Parameters:

• model (object) – Model instance.

• par_name (object) – Parameter name.

• val (object) – Value to assign.

show_model()

Print full composite-model summary and component details.

Notes

Includes the per-component show_model output.

show_model_components()

Print a concise overview of component models.

Notes

This view does not print individual parameter tables.