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WiggleZBao module
Compute the likelihood of the supplied expansion history against WiggleZ BAO data
Name: WiggleZBao
File: cosmosis-standard-library/likelihood/wigglez_bao/wigglez_bao.py
Version: 1401.0358v2
Author(s):
- WiggleZ Team
- MontePython Team
URL: http://www.smp.uq.edu.au/wigglez-data/
Cite:
- MNRAS 441, 3524 (2014)
Rules:
Assumptions:
- WiggleZ dark energy survey data set
- FLRW metric and standard BAO size
Explanation
This module gives a likelihood of the redshift-distance and redshift-Hubble
relations in combined form D_v = (da2 * (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.
##Parameters
These parameters can be set in the module's section in the ini parameter file.
If no default is specified then the parameter is required.
Parameter | Description |
---|---|
data_file | string, path to file with measured z - D_v values in (default: included file) |
weight_file | string, path to inverse covariance matrix file (default: included file) |
rs_fiducial | Real, Fiducial value of sound horizon at last scattering used in making data (default=148.6) |
verbose | Bool, Print extra output (default = False) |
##Inputs
These parameters and data are inputs to the module, either supplied as parameters by the sampler or computed by some previous module. They are loaded from the data block.
Section | Parameter | Description |
---|---|---|
distances | z | 1D real array, redshifts of samples |
d_a | 1D real array, angular diameter distance in Mpc | |
h | 1D real array, hubble parameter with in units of Mpc | |
rz_zdrag | real, sound horizon at last scattering in Mpc |
##Outputs
These parameters and data are computed as outputs from the module
Section | Parameter | Description |
---|---|---|
likelihoods | wigglez_bao_like | real, likelihood of supplied expansion history |
Updated