CosmoFit.EBOSSLyaLikelihood

class CosmoFit.EBOSSLyaLikelihood(cosmology, version='dr16')[source]

Bases: TabulatedBAOLikelihood

eBOSS DR16 Lyman-alpha forest BAO, (D_M/r_d, D_H/r_d) at z_eff = 2.334, as a tabulated two-dimensional likelihood.

The default version multiplies the forest auto-correlation by its cross-correlation with quasars; "dr16_auto" and "dr16_cross" are the halves.

Warning

Overlaps "desi", whose own Lyman-alpha measurement at z ~ 2.33 is drawn from much of the same sky. Do not use more than one version at a time either – the halves are what the default is built from.

Parameters:

version (str)

__init__(cosmology, version='dr16')
Parameters:

version (str)

Methods

__init__(cosmology[, version])

chi2()

-2 log L, so this composes with the Gaussian likelihoods it is summed with.

log_likelihood()

Log-likelihood at the current cosmology.

log_likelihood_at(values)

Interpolate the released surface at given distance ratios, with no cosmology involved.

model()

Predicted distance ratios, one per tabulated observable.

predictions()

Alias for model().

residuals()

Prediction minus the grid's most probable point.

summary()

Return a summary of the likelihood evaluation.

Attributes

FAMILY

Loader family, set by the subclass.

LABEL

Display name, set by the subclass.

n_data

Number of data points.

name_and_size

Name together with the number of data points.