Validation of the DESI 2024 Lyα forest BAO analysis using synthetic datasets

2024/04/03 by Cuceu, Andrei, Herrera-Alcantar, Hiram K., Gordon, Calum +56 · 3 citations
#Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences

paper · doi:10.48550/arxiv.2404.03004

Abstract

The first year of data from the Dark Energy Spectroscopic Instrument (DESI) contains the largest set of Lyman-α (Lyα) forest spectra ever observed. This data, collected in the DESI Data Release 1 (DR1) sample, has been used to measure the Baryon Acoustic Oscillation (BAO) feature at redshift z=2.33. In this work, we use a set of 150 synthetic realizations of DESI DR1 to validate the DESI 2024 Lyα forest BAO measurement. The synthetic data sets are based on Gaussian random fields using the log-normal approximation. We produce realistic synthetic DESI spectra that include all major contaminants affecting the Lyα forest. The synthetic data sets span a redshift range 1.8

Cited by

• Probing the limits of cosmological information from the Lyman-α forest 2-point correlation functions
• DESI DR1 Lyα 1D power spectrum: Validation of estimators
• The Lyman-α Forest from LBGs: First 3D Correlation Measurement with DESI and Prospects for Cosmology

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