WiggleZBao

Compute the likelihood of the supplied expansion history against WiggleZ BAO data

File	likelihood/wigglez_bao/wigglez_bao.py
Attribution	WiggleZ Team
	MontePython Team
URL	http://www.smp.uq.edu.au/wigglez-data/
Citations	MNRAS 441, 3524 (2014)

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 the WiggleZ survey measured them.

A correlated Gaussian likelihood is then returned.

Assumptions

• WiggleZ dark energy survey data set

• FLRW metric and standard BAO size

Setup Parameters

Name	Type	Default	Description
data_file	str	included file	Path to file with measured z - D_v values in
weight_file	str	included file	Path to inverse covariance matrix file
rs_fiducial	real	148.6	Fiducial value of sound horizon at last scattering used in making data
verbose	bool	False	Print extra output

Input values

Section	Name	Type	Default	Description
distances	z	real 1d		Redshifts of samples
	d_a	real 1d		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	wigglez_bao_like	real	Likelihood of supplied expansion history