eboss_dr16_lrg¶
Compute the likelihood of eBOSS DR16 from LRG
File |
likelihood/eboss_dr16/lrg/eboss_dr16_lrg.py |
URL |
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Citations |
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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 LRG. We assume likelihoods are Gaussian.
Assumptions¶
Gaussian likelihood
Setup Parameters¶
Name |
Type |
Default |
Description |
|---|---|---|---|
feedback |
bool |
False |
Whether to print feedback |
mode |
int |
0 |
type of analysis. 0 for BAO-only. 1 for BAO + Full-shape |
Input values¶
Section |
Name |
Type |
Default |
Description |
|---|---|---|---|---|
distances |
z |
real 1d |
Redshifts of samples |
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d_m |
real 1d |
Comoving distance in Mpc |
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h |
real 1d |
Hubble parameter with in units of Mpc |
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rs_zdrag |
real |
Value of predicted drag redshift |
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growth_parameters |
d_z |
real 1d |
Linear growth factor D(z) |
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fsigma8 |
real 1d |
Structure amplitude |
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z |
real 1d |
Redshift of samples |
Output values¶
Section |
Name |
Type |
Description |
|---|---|---|---|
likelihoods |
eboss16_lrg_like |
real |
likelihood of BAO |