CosmoFit.SDSSFullShapeLikelihood

class CosmoFit.SDSSFullShapeLikelihood(cosmology, version='dr16')

Bases: BAODistanceLikelihood

SDSS BAO + full-shape consensus: D_M/r_d, D_H/r_d and f sigma_8 at z = 0.38, 0.51, 0.698 and 1.48, twelve numbers with the covariance between them.

The same galaxies as SDSSBAOLikelihood, analysed for their full anisotropic clustering rather than the BAO peak alone. Two things follow. It measures the growth rate, so unlike every other BAO dataset here it constrains sigma8. And it carries the correlation between growth and geometry – 0.19 to 0.64 between D_M/r_d and f sigma_8 within a bin, strongest for the quasars – which is exactly what is thrown away by using the BAO-only dataset together with a separate f sigma_8 compilation drawn from the same surveys.

f sigma_8 is compared with the model’s own fsigma8(z) with no Alcock-Paczynski rescaling, unlike FSigma8Likelihood: a full-shape fit varies the geometry alongside the growth rate, so the fiducial is already fitted rather than something to correct back to.

Warning

Mutually exclusive with "sdss_bao" (the same BAO measurements) and with "fsigma8" (whose compilation includes these surveys’ growth measurements). Overlaps "desi", as its BAO-only sibling does.

References

eBOSS Collaboration / Alam et al. (2021), Phys. Rev. D 103, 083533, arXiv:2007.08991.

__init__(cosmology, version='dr16')

Methods

__init__(cosmology[, version])
chi2()	Compute the BAO chi-square.
log_likelihood()	Return log-likelihood.
model()	Compute the theoretical BAO observables.
predictions()	Alias for model().
residuals()	Compute the BAO residual vector.
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.