pspec_likelihood.likelihood.PSpecLikelihood

class pspec_likelihood.likelihood.PSpecLikelihood(*, model: DataModelInterface, set_negative_to_zero=False)

Base class for likelihoods.

The base class implements one abstract method: loglike(), which must compute the floating-point log-likelihood given the theory and systematics parameters that are being sampled/varied.

Parameters:

• model (pspec_likelihood.likelihood.DataModelInterface) – An instance of DataModelInterface that is used to do the transformation from theory to data space.

• set_negative_to_zero (bool) – Whether to treat negative power spectrum values as zero.

Methods

__init__(*, model[, set_negative_to_zero])	Method generated by attrs for class PSpecLikelihood.
loglike(theory_params, sys_params)	Compute the log-likelihood.
validate()	Validation of a particular likelihood.

Attributes

data_mask	A mask where data is properly defined and usable.
power_spectrum	Return power_spectrum respecting set_negative_to_zero.
variance	Compute the variance of the likelihood.
model
set_negative_to_zero