imagine.likelihoods package¶

Submodules¶

imagine.likelihoods.ensemble_likelihood module¶

ensemble likelihood, described in IMAGINE techincal report in principle it combines covariance matrices from both observations and simulations

class imagine.likelihoods.ensemble_likelihood.EnsembleLikelihood(measurement_dict, covariance_dict=None, mask_dict=None)[source]¶

Bases: imagine.likelihoods.likelihood.Likelihood

EnsembleLikelihood class initialization function

Parameters:	measurement_dict (imagine.observables.observable_dict.Measurements) – Measurements covariance_dict (imagine.observables.observable_dict.Covariances) – Covariances mask_dict (imagine.observables.observable_dict.Masks) – Masks

call(simulations_dict)[source]¶

EnsembleLikelihood class call function

Parameters:	simulations_dict (imagine.observables.observable_dict.Simulations) – Simulations object
Returns:	likelicache – log-likelihood value (copied to all nodes)
Return type:	float

imagine.likelihoods.likelihood module¶

Likelihood class defines likelihood posterior function to be used in Bayesian analysis

member fuctions:

__init__

requires Measurements object Covariances object (optional) Masks object (optional)

call

running LOG-likelihood calculation requires ObservableDict object

class imagine.likelihoods.likelihood.Likelihood(measurement_dict, covariance_dict=None, mask_dict=None)[source]¶

Bases: imagine.tools.class_tools.BaseClass

Base class that defines likelihood posterior function to be used in Bayesian analysis

Parameters:	measurement_dict (imagine.observables.observable_dict.Measurements) – Measurements covariance_dict (imagine.observables.observable_dict.Covariances) – Covariances mask_dict (imagine.observables.observable_dict.Masks) – Masks

__call__(*args, **kwargs)[source]¶: Call self as a function.

call(observable_dict)[source]¶

Parameters:	observable_dict (imagine.observables.observable_dict) variables

covariance_dict¶

mask_dict¶

measurement_dict¶

imagine.likelihoods.simple_likelihood module¶

class imagine.likelihoods.simple_likelihood.SimpleLikelihood(measurement_dict, covariance_dict=None, mask_dict=None)[source]¶

Bases: imagine.likelihoods.likelihood.Likelihood

A simple Likelihood class

Parameters:	measurement_dict (imagine.observables.observable_dict.Measurements) – Measurements covariance_dict (imagine.observables.observable_dict.Covariances) – Covariances mask_dict (imagine.observables.observable_dict.Masks) – Masks

call(observable_dict)[source]¶

SimpleLikelihood object call function

Parameters:	observable_dict (imagine.observables.observable_dict.Simulations) – Simulations object
Returns:	likelicache – log-likelihood value (copied to all nodes)
Return type:	float

Module contents¶

class imagine.likelihoods.EnsembleLikelihood(measurement_dict, covariance_dict=None, mask_dict=None)[source]¶

Bases: imagine.likelihoods.likelihood.Likelihood

EnsembleLikelihood class initialization function

Parameters:	measurement_dict (imagine.observables.observable_dict.Measurements) – Measurements covariance_dict (imagine.observables.observable_dict.Covariances) – Covariances mask_dict (imagine.observables.observable_dict.Masks) – Masks

call(simulations_dict)[source]¶

EnsembleLikelihood class call function

Parameters:	simulations_dict (imagine.observables.observable_dict.Simulations) – Simulations object
Returns:	likelicache – log-likelihood value (copied to all nodes)
Return type:	float

class imagine.likelihoods.Likelihood(measurement_dict, covariance_dict=None, mask_dict=None)[source]¶

Bases: imagine.tools.class_tools.BaseClass

Base class that defines likelihood posterior function to be used in Bayesian analysis

Parameters:	measurement_dict (imagine.observables.observable_dict.Measurements) – Measurements covariance_dict (imagine.observables.observable_dict.Covariances) – Covariances mask_dict (imagine.observables.observable_dict.Masks) – Masks

__call__(*args, **kwargs)[source]¶: Call self as a function.

call(observable_dict)[source]¶

Parameters:	observable_dict (imagine.observables.observable_dict) variables

covariance_dict¶

mask_dict¶

measurement_dict¶

class imagine.likelihoods.SimpleLikelihood(measurement_dict, covariance_dict=None, mask_dict=None)[source]¶

Bases: imagine.likelihoods.likelihood.Likelihood

A simple Likelihood class

Parameters:	measurement_dict (imagine.observables.observable_dict.Measurements) – Measurements covariance_dict (imagine.observables.observable_dict.Covariances) – Covariances mask_dict (imagine.observables.observable_dict.Masks) – Masks

call(observable_dict)[source]¶

SimpleLikelihood object call function

Parameters:	observable_dict (imagine.observables.observable_dict.Simulations) – Simulations object
Returns:	likelicache – log-likelihood value (copied to all nodes)
Return type:	float