desi_dr1 ================================================ DESI BAO likelihood from DR1 data +-------------+---------------------------------------+ | File | likelihood/bao/desi1-dr1/desi1_dr1.py | +-------------+---------------------------------------+ | Attribution | DESI Team (data) | +-------------+---------------------------------------+ | | CosmoSIS Team (module) | +-------------+---------------------------------------+ | URL | https://www.desi.lbl.gov/ | +-------------+---------------------------------------+ | Citations | https://arxiv.org/abs/2404.03002 | +-------------+---------------------------------------+ The DESI DR1 release provided measurements of the sound horizon imprint on galaxy and quasar clustering, and the Lyman alpha forest. This module provides a likelihood for these measurements, assuming a Gaussian likelihood for the data, as presented in the accepted DESI DR1 paper. No changes were made to the DESI results since the arXiv version of the paper, so this module is identical to the arXiv version. Assumptions ----------- - DESI reconstruction and measurements of BAO data - Gaussian likelihood Setup Parameters ---------------- .. list-table:: :header-rows: 1 * - Name - Type - Default - Description * - desi_data_sets - None - str - Choice of which DESI data set(s) to include. Comma-separated string of choices from: BGS LRG1 LRG2 LRG3+ELG1 ELG2 QSO Lya QSO Input values ---------------- .. list-table:: :header-rows: 1 * - Section - Name - Type - Default - Description * - distances - rs_zdrag - real - - Sound horizon at drag epoch of last scattering * - - z - real 1d - - Sample points in redshift of distance theory prediction * - - d_v - real 1d - - Angular average of comoving angular diameter and line of sight distance in Mpc * - - d_m - real 1d - - Co-moving distance in Mpc * - - h - real 1d - - Hubble parameter as function of distance in units of Mpc Output values ---------------- .. list-table:: Output values :header-rows: 1 * - Section - Name - Type - Description * - likelihoods - desi_bao_like - real - Gaussian likelihood value. * - data_vector - desi_bao_data - real 1d - The full vector of data points used in the likelihood * - - desi_bao_theory - real 1d - The full vector of theory points used in the likelihood * - - desi_bao_covariance - real 2d - The covariance matrix used * - - desi_bao_inverse_covariance - real 2d - The inverse covariance matrix (precision matrix) used. * - - desi_bao_simulation - real 1d - A simulated data set from the given theory and covariance matrix. * - - desi_bao_chi2 - real - Chi-squared value for the data and theory * - - desi_bao_n - int - Number of data points used