eboss_dr16_qso¶
Compute the likelihood of eBOSS DR16 from QSO
File |
likelihood/eboss_dr16/qso/eboss_dr16_qso.py |
URL |
|
Citations |
Neveux et al, MNRAS 2020 |
Hou et al, MNRAS 2020 |
This module computes the likelihood of Dm_over_rd and Dh_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 QSO. We assume likelihoods are Gaussian.
Assumptions¶
Gaussian likelihood
Setup Parameters¶
Name |
Type |
Default |
Description |
|---|---|---|---|
mode |
int |
0 |
0 for BAO-only. 1 for BAO + Full-shape |
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 |
||
rs_zdrag |
real |
Value of predicted drag redshift |
||
growth_parameters |
fsigma8 |
real 1d |
Structure amplitude f(z) * sigma8(z()) |
|
z |
real 1d |
Redshift of samples |
Output values¶
Section |
Name |
Type |
Description |
|---|---|---|---|
likelihoods |
eboss16_qso_like |
real |
QSO BAO likelihood |