threeML.plugins.experimental.CastroLike module

class threeML.plugins.experimental.CastroLike.CastroLike(name, interval_containers)[source]

Bases: PluginPrototype

property active_containers

get_log_like()[source]: Return the value of the log-likelihood with the current values for the parameters

inner_fit()[source]: This is used for the profile likelihood. Keeping fixed all parameters in the LikelihoodModel, this method minimize the logLike over the remaining nuisance parameters, i.e., the parameters belonging only to the model for this particular detector. If there are no nuisance parameters, simply return the logLike value.

plot(plot_model=True, n_points=1000, fig=None, sub=None)[source]

set_active_measurements(tmin, tmax)[source]

set_model(likelihood_model_instance)[source]: Set the model to be used in the joint minimization. Must be a LikelihoodModel instance.

property start

property stop

class threeML.plugins.experimental.CastroLike.IntervalContainer(start, stop, parameter_values, likelihood_values, n_integration_points)[source]

Bases: object

get_measurement(delta_log_like=0.5, ul_log_like=1.355, low_bound_extreme=0.0, hi_bound_extreme=inf)[source]

property n_integration_points

property start

property stop