eboss_dr16_elg

Compute the likelihood of eBOSS DR16 from ELG

File

likelihood/eboss_dr16/elg/eboss_dr16_elg.py

URL

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

Citations

  1. de Mattia et al, 2007.09008

This module computes the likelihood of Dv_over_rd for BAO-only analysis and Dm_over_rd, Dh_over_rd, and fsigma8 for BAO+FS analysis, both using eBOSS DR16 measurements from ELG.

Assumptions

  • Non-Gaussian likelihood

Setup Parameters

Name

Type

Default

Description

feedback

bool

False

Whether to print extra output

mode

bool

False

Whether to include full-shape information instead of just BAO

Input values

Section

Name

Type

Default

Description

distances

z

real 1d

Redshifts of samples

d_m

real 1d

Comoving distance in Mpc

h

real 1d

Hubble parameter with in units of Mpc

rs_zdrag

real

Value of predicted drag redshift

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

Output values

Output values

Section

Name

Type

Description

likelihoods

eboss16_elg_like

real

ELG BAO likelihood