CosmoFit.FSigma8Likelihood¶

class CosmoFit.FSigma8Likelihood(cosmology, version='gold2018')[source]¶

Bases: BaseLikelihood

Growth-rate (fsigma8) likelihood, e.g. the “Gold-2018” RSD compilation (load_fsigma8()).

Applies the same Alcock-Paczynski correction the reference likelihood (snesseris/RSD-growth) applies: each survey’s raw RSD measurement was converted into fsigma8 assuming some fiducial cosmology’s H(z)*D_A(z) product (data.HdAz); a test cosmology with a different H(z)*D_A(z) needs its predicted fsigma8 rescaled by that ratio before comparing to the data, rather than compared directly.

__init__(cosmology, version='gold2018')[source]¶

Methods

`__init__`(cosmology[, version])
`chi2`()	Return chi-square.
`log_likelihood`()	Return log-likelihood.
`model`()	AP-corrected fsigma8(z) prediction.
`predictions`()	Alias for model().
`residuals`()
`summary`()	Return a summary of the likelihood evaluation.

Attributes

`n_data`	Number of data points.
`name_and_size`	Name together with the number of data points.
`observable`