3D correlations in the Lyman-α forest from early DESI data

Author:

Gordon C.,Cuceu A.,Chaves-Montero J.,Font-Ribera A.,González-Morales A.X.,Aguilar J.,Ahlen S.,Armengaud E.,Bailey S.,Bault A.,Brodzeller A.,Brooks D.,Claybaugh T.,de la Cruz R.,Dawson K.,Doel P.,Forero-Romero J.E.,Gontcho S.Gontcho A.,Guy J.,Herrera-Alcantar H.K.,Iršič V.,Karaçaylı N.G.,Kirkby D.,Landriau M.,Le Guillou L.,Levi M.E.,de la Macorra A.,Manera M.,Martini P.,Meisner A.,Miquel R.,Montero-Camacho P.,Muñoz-Gutiérrez A.,Napolitano L.,Nie J.,Niz G.,Palanque-Delabrouille N.,Percival W.J.,Pieri M.,Poppett C.,Prada F.,Pérez-Ràfols I.,Ramírez-Pérez C.,Ravoux C.,Rezaie M.,Ross A.J.,Rossi G.,Sanchez E.,Schlegel D.,Schubnell M.,Seo H.,Sinigaglia F.,Tan T.,Tarlé G.,Walther M.,Weaver B.A.,Yèche C.,Zhou Z.,Zou H.

Abstract

Abstract We present the first measurements of Lyman-α (Lyα) forest correlations using early data from the Dark Energy Spectroscopic Instrument (DESI). We measure the auto-correlation of Lyα absorption using 88 509 quasars at z > 2, and its cross-correlation with quasars using a further 147 899 tracer quasars at z ≳ 1.77. Then, we fit these correlations using a 13-parameter model based on linear perturbation theory and find that it provides a good description of the data across a broad range of scales. We detect the BAO peak with a signal-to-noise ratio of 3.8σ, and show that our measurements of the auto- and cross-correlations are fully-consistent with previous measurements by the Extended Baryon Oscillation Spectroscopic Survey (eBOSS). Even though we only use here a small fraction of the final DESI dataset, our uncertainties are only a factor of 1.7 larger than those from the final eBOSS measurement. We validate the existing analysis methods of Lyα correlations in preparation for making a robust measurement of the BAO scale with the first year of DESI data.

Publisher

IOP Publishing

Subject

Astronomy and Astrophysics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LYαNNA: A deep learning field-level inference machine for the Lyman-α forest;Astronomy & Astrophysics;2024-09

2. The 3D Lyman-α forest power spectrum from eBOSS DR16;Monthly Notices of the Royal Astronomical Society;2024-08-29

3. Optimal data compression for Lyman-α forest cosmology;Monthly Notices of the Royal Astronomical Society;2024-01-10

4. Lyman alpha forest power spectrum in effective field theory;Physical Review D;2024-01-05

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