bilby.core.likelihood.AnalyticalMultidimensionalBimodalCovariantGaussian

class bilby.core.likelihood.AnalyticalMultidimensionalBimodalCovariantGaussian(mean_1, mean_2, cov)

Bases: Likelihood

A multivariate Gaussian likelihood with known analytic solution.

Parameters:

mean_1: array_like

Array with the mean value of the first mode

mean_2: array_like

Array with the mean value of the second mode

cov: array_like

__init__(mean_1, mean_2, cov)

Empty likelihood class to be subclassed by other likelihoods

Parameters:

parameters: dict

A dictionary of the parameter names and associated values

__call__(*args, **kwargs)

Call self as a function.

Methods

__init__(mean_1, mean_2, cov)	Empty likelihood class to be subclassed by other likelihoods
log_likelihood()
log_likelihood_ratio()	Difference between log likelihood and noise log likelihood
noise_log_likelihood()

Attributes

dim
marginalized_parameters
meta_data

log_likelihood()

Returns:

float

log_likelihood_ratio()

Difference between log likelihood and noise log likelihood

Returns:

float

noise_log_likelihood()

Returns:

float