Validation of the DESI 2024 Ly$\alpha$ Forest BAO Analysis using Synthetic Datasets
Résumé
The first year of data from the Dark Energy Spectroscopic Instrument (DESI) contains the largest set of Lyman-$\alpha$ (Ly$\alpha$) 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 Ly$\alpha$ 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 Ly$\alpha$ forest. The synthetic data sets span a redshift range $1.8
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Astrophysique [astro-ph]INSPIRE HEP : Connectez-vous pour contacter le contributeur
https://hal.science/hal-04556339
Soumis le : mardi 23 avril 2024-14:54:58
Dernière modification le : jeudi 5 décembre 2024-15:33:18
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Identifiants
- HAL Id : hal-04556339 , version 1
- ARXIV : 2404.03004
- INSPIRE : 2774246
Citer
Andrei Cuceu, Hiram K Herrera-Alcantar, Calum Gordon, Paul Martini, Julien Guy, et al.. Validation of the DESI 2024 Ly$\alpha$ Forest BAO Analysis using Synthetic Datasets. 2024. ⟨hal-04556339⟩
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