pspec_likelihood.likelihood.MarginalizedLinearPositiveSystematics

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

The likelihood used in IDR2 analysis.

Parameters:

zero_fill – Return a loglikelihood value of zero_fill instead of -inf when the likelihood is actually 0. Possibly useful to avoid errors in sampling libraries used.

Methods

__init__(*, model[, set_negative_to_zero])	Method generated by attrs for class MarginalizedLinearPositiveSystematics.
loglike(theory_params, sys_params)	Compute the log likelihood.
validate()	Ensure the model has diagonal covariance and no systematics model.

Attributes

data_mask	A mask where data is properly defined and usable.
power_spectrum	Return power_spectrum respecting set_negative_to_zero.
variance	The diagonal of the covariance matrix.
model
set_negative_to_zero