mgs

Compute the likelihood of MGS BAO and FS as distributed by eBOSS DR16

File

likelihood/eboss_dr16/mgs/mgs.py

Attribution

M

G

S

t

e

a

m

,

e

B

O

S

S

D

R

1

6

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m

URL

https://svn.sdss.org/public/data/eboss/DR16cosmo/tags/v1_0_0/likelihoods/

Citations

  1. Howlett et al, MNRAS 2015

This module computes the likelihood of MGS, using f*sigma8 and D_v/r_s measurements.

Assumptions

  • Gaussian likelihood

Setup Parameters

Name

Type

Default

Description

data_file

str

sdss_MGS_FSBAO_DVfs8.txt

Path to file with measured D_v(zeff),fsig8(zeff) values

cov_file

str

sdss_MGS_FSBAO_DVfs8_covtot.txt

Path to covariance matrix file

rs_fiducial

real

147.8

Fiducial value of sound horizon at last scattering used in making data

verbose

bool

False

Whether to print extra output

Input values

Section

Name

Type

Default

Description

growth_parameters

d_z

real 1d

Linear growth factor D(z)

f_z

real 1d

Linear growth rate f(z)

z

real 1d

Redshift of samples

cosmological_parameters

omega_m

real

Matter density fraction of critical

sigma_8

real

Amplitude of linear matter power at 8/h Mpc at z=0

h0

real

Hubble parameter H0 / (100 km/s/Mpc)

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

Output values

Output values

Section

Name

Type

Description

likelihoods

mgs_like

real

Likelihood of Dv and fsigma8 at z=0.15