Validation of the DESI 2024 Lyα forest BAO analysis using synthetic datasets
arxiv(2024)
摘要
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
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