SEDShape(SEDdata)[source]¶Bases: object
This handle the SED shaping process
Methods Summary
IC_fit([fit_range]) |
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add_BBB_template(fit_model) |
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add_disk(fit_model) |
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add_host_template(fit_model) |
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check_adapt_range_size(x, index, min_size) |
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do_sync_fit(fit_model[, fit_range, …]) |
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eval_indices() |
This methods evaluates the indices for the SED |
find_class(E_S) |
method to evaluate obj class ‘L/I/HPS’ according |
get_nu_max(nu, fit_range) |
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plot_indices(plot) |
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save_sync_fit_report([name]) |
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set_S_LE_slope(fit_func, use_log_par) |
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show_values() |
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sync_fit([check_host_gal_template, …]) |
This method analyses the synchrotron shape by means |
Methods Documentation
do_sync_fit(fit_model, fit_range=None, check_disk=False, check_BBB=False, check_host=False, use_log_par=False, Ep_start=None, no_check=False)[source]¶eval_indices()[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
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)[source]¶This method analyses the synchrotron shape by means of log-log polynomial fits
The following paremeters are estimated:
- the SED peak frequency Ep
- the SED peak flux Sp
- the curvature at the peak
- 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’