gammapy_plugin.utils package¶

Submodules¶

gammapy_plugin.utils.astromodels_functions module¶

class gammapy_plugin.utils.astromodels_functions.Exp_cutoff_powerlaw_gammapy(**kwargs)[source]¶

Bases: Function1D

description :

A exp cutoff function.

latex :: $Kleft(frac{x}{piv}right)^{-index}exp{-(lambda x)^alpha}$

parameters :

K :
desc : Normalization initial value : 1e-11 is_normalization : True transformation : log10 min : 1e-30 max : 1e5

piv :
desc : Pivot (keep this fixed) initial value : 1 fix : yes

index :
desc : index initial value : 2.0

lambda_ :
desc : curvature (= 1/xc) initial value : 0.1

alpha :
desc : alpha initial value : 1 fix : yes

evaluate(x, K, piv, index, lambda_, alpha)[source]¶

static info()¶

class gammapy_plugin.utils.astromodels_functions.Log_parabola_gammapy(**kwargs)[source]¶

Bases: Function1D

description :

A log-parabolic function, same parametrization as Gammapy

latex :: $Kleft(frac{x}{piv}right)^{-alpha-betalog{left(frac{x}{piv}right)}}$

parameters :

K :
desc : Normalization initial value : 1e-11 is_normalization : True transformation : log10 min : 1e-30 max : 1e5

piv :
desc : Pivot (keep this fixed) initial value : 1 fix : yes

alpha :

desc : index initial value : 2.0

beta :

desc : curvature initial value : 1.0

evaluate(x, K, piv, alpha, beta)[source]¶

static info()¶

gammapy_plugin.utils.gammapy_parser module¶

gammapy_plugin.utils.gammapy_parser.parameter_to_gammapy_dict(para)[source]¶

Converts a astromodel parameter to a dict able to be read in as a gammapy parameter.

Parameters:: para (Parameter) – astromodel paramter
Returns:: dict
Return type:: dict

gammapy_plugin.utils.gammapy_parser.parse_gammapy_model(gp_model, dataset_name='empty')[source]¶

Returns dict of astromodels parameters with all parameters from the passed gammapy model.

Parameters:

gp_model (ModelBase) – gammapy model
dataset_name (str) – name of the dataset the model is associated to defaults to empty

Return type:

dict