SEDShape

SEDShape#

class jetset.sed_shaper.SEDShape(sed_data)[source]#

Bases: object

This handle the SED shaping process

Methods Summary

IC_fit([fit_range, use_log_par, Ep_start, ...])

Ic fit.

add_BBB_template(fit_model)

Add bbb template.

add_disk(fit_model)

Add disk.

add_host_template(fit_model)

Add host template.

check_adapt_range_size(x, index, min_size[, ...])

Check adapt range size.

do_sync_fit(fit_model, fit_law_name[, ...])

Do sync fit.

eval_indices([minimizer, silent, ...])

This methods evaluates the indices for the SED indices are istances of the index_array () class

find_class(E_S)

method to evaluate obj class 'L/I/HPS' according to Ep

get_initial_index_values(index, loglog_pl)

Return initial index values.

get_nu_max(nu, fit_range)

Return nu max.

plot_indices([plot_obj])

Plot indices.

plot_shape_fit([plot_obj])

Plot shape fit.

save_sync_fit_report([name])

Save object state to disk.

save_values(name)

Save object state to disk.

set_S_LE_slope(fit_func, fit_law_name, ...)

Set s le slope.

show_values()

Display values.

sync_fit([check_host_gal_template, ...])

This method analyses the synchrotron shape by means of log-log polynomial fits

Methods Documentation

IC_fit(fit_range=None, use_log_par=False, Ep_start=None, minimizer='minuit', silent=False)[source]#

Ic fit.

Parameters:

  • fit_range (object, optional) – Range for fit.

  • use_log_par (bool, optional) – If True, enable log par.

  • Ep_start (object, optional) – Lower bound/control for ep start.

  • minimizer (str, optional) – Lower bound/control for minimizer.

  • silent (bool, optional) – If True, suppress informational output.

Returns:

Computed result.

Return type:

object

add_BBB_template(fit_model)[source]#

Add bbb template.

Parameters:

fit_model (object) – Model instance used for fitting.

add_disk(fit_model)[source]#

Add disk.

Parameters:

fit_model (object) – Model instance used for fitting.

add_host_template(fit_model)[source]#

Add host template.

Parameters:

fit_model (object) – Model instance used for fitting.

check_adapt_range_size(x, index, min_size, silent=False)[source]#

Check adapt range size.

Parameters:

  • x (object) – Parameter controlling x.

  • index (object) – Index/identifier for index.

  • min_size (object) – Lower bound/control for min size.

  • silent (bool, optional) – If True, suppress informational output.

Returns:

Computed result.

Return type:

object

do_sync_fit(fit_model, fit_law_name, fit_range=None, check_disk=False, check_BBB=False, check_host=False, Ep_start=None, no_check=False, minimizer='lsb', silent=True, show_fit_report=True)[source]#

Do sync fit.

Parameters:

  • fit_model (object) – Model instance used for fitting.

  • fit_law_name (object) – Parameter controlling fit law name.

  • fit_range (object, optional) – Range for fit.

  • check_disk (bool, optional) – Parameter controlling check disk.

  • check_BBB (bool, optional) – Parameter controlling check bbb.

  • check_host (bool, optional) – Parameter controlling check host.

  • Ep_start (object, optional) – Lower bound/control for ep start.

  • no_check (bool, optional) – Parameter controlling no check.

  • minimizer (str, optional) – Lower bound/control for minimizer.

  • silent (bool, optional) – If True, suppress informational output.

  • show_fit_report (bool, optional) – If True, display fit report.

Returns:

Computed result.

Return type:

object

eval_indices(minimizer='lsb', silent=True, show_fit_report=False, min_size=3)[source]#

This methods evaluates the indices for the SED indices are istances of the index_array () class

find_class(E_S)[source]#

method to evaluate obj class ‘L/I/HPS’ according to Ep

args: E_S

the obj_class member is updated

obj_class==None means undefined class

get_initial_index_values(index, loglog_pl)[source]#

Return initial index values.

Parameters:

  • index (object) – Index/identifier for index.

  • loglog_pl (object) – Parameter controlling loglog pl.

Returns:

Requested value.

Return type:

object

get_nu_max(nu, fit_range)[source]#

Return nu max.

Parameters:

  • nu (object) – Frequency values in Hz.

  • fit_range (object) – Range for fit.

Returns:

Requested value.

Return type:

object

plot_indices(plot_obj=None)[source]#

Plot indices.

Parameters:

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

Returns:

Computed result.

Return type:

object

plot_shape_fit(plot_obj=None)[source]#

Plot shape fit.

Parameters:

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

Returns:

Computed result.

Return type:

object

save_sync_fit_report(name=None)[source]#

Save object state to disk.

Parameters:

name (object, optional) – Name identifier.

save_values(name)[source]#

Save object state to disk.

Parameters:

name (object) – Name identifier.

set_S_LE_slope(fit_func, fit_law_name, use_log_par)[source]#

Set s le slope.

Parameters:

  • fit_func (object) – Parameter controlling fit func.

  • fit_law_name (object) – Parameter controlling fit law name.

  • use_log_par (object) – If True, enable log par.

show_values()[source]#

Display values.

sync_fit(check_host_gal_template=False, check_BBB_template=False, check_disk=False, fit_range=None, nu_min=None, nu_max=None, Ep_start=None, use_log_par=False, minimizer='lsb', silent=True, show_fit_report=False)[source]#

This method analyses the synchrotron shape by means of log-log polynomial fits

The following paremeters are estimated:

  1. the SED peak frequency Ep

  2. the SED peak flux Sp

  3. the curvature at the peak

  4. checks for the host galaxy

-) first a log-log cubic fit is performed, with the ‘blind’ interval

-) the SED class ‘I/L/HPS’ is set according to Ep, by find_class

-) the fit range is changed from ‘blind’, according to the

value returned by find_class, using the function sync_fit_range

-) the SED nu, and nuFnu are generated for the ‘blind’ fit

-) if the option is selected in the call of the method

the estimate of the host galaxy is performed

-) a second run improve the obj class is performed

values are stored in the class :class: ‘peak_values’