mgs_bao

Compute the likelihood against SDSS MGS data

File	likelihood/mgs_bao/mgs_bao.py
Attribution	MGS team
URL
Citations	Ross et al, MNRAS 449 (2015)

This module gives a likelihood of the redshift-distance and redshift-Hubble relations in combined form D_v = (da**2 * (1+z)**2 * dr)**(1./3.) where dr = z / H. It uses the sound horizon at last-scatter rs_zdrag and the predicted expansion since last scattering to predict the BAO size at the redshifts at which SDSS MGS measured them.

Assumptions

• MGS chi2

• FLRW metric and standard BAO size

Setup Parameters

Name	Type	Default	Description
verbose	bool	False	Print extra output

Input values

Section	Name	Type	Default	Description
distances	z	real 1d		Redshifts of samples
	d_m	real 1d		Physical angular diameter distance in Mpc
	h	real 1d		Hubble parameter with in units of Mpc
	rz_zdrag	real		Sound horizon at last scattering in Mpc

Output values

Output values

Section	Name	Type	Description
likelihoods	MGS_BAO_LIKE	real	Likelihood of supplied expansion history