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The Dark Energy Spectroscopic Instrument: one-dimensional power spectrum from first Ly α forest samples with Fast Fourier Transform.

Authors :
Ravoux, Corentin
Abdul Karim, Marie Lynn
Armengaud, Eric
Walther, Michael
Karaçaylı, Naim Göksel
Martini, Paul
Guy, Julien
Aguilar, Jessica Nicole
Ahlen, Steven
Bailey, Stephen
Bautista, Julian
Beltran, Sergio Felipe
Brooks, David
Cabayol-Garcia, Laura
Chabanier, Solène
Chaussidon, Edmond
Chaves-Montero, Jonás
Dawson, Kyle
de la Cruz, Rodrigo
de la Macorra, Axel
Source :
Monthly Notices of the Royal Astronomical Society. Dec2023, Vol. 526 Issue 4, p5118-5140. 23p.
Publication Year :
2023

Abstract

We present the one-dimensional Ly α forest power spectrum measurement using the first data provided by the Dark Energy Spectroscopic Instrument (DESI). The data sample comprises 26 330 quasar spectra, at redshift z > 2.1, contained in the DESI Early Data Release and the first 2 months of the main survey. We employ a Fast Fourier Transform (FFT) estimator and compare the resulting power spectrum to an alternative likelihood-based method in a companion paper. We investigate methodological and instrumental contaminants associated with the new DESI instrument, applying techniques similar to previous Sloan Digital Sky Survey (SDSS) measurements. We use synthetic data based on lognormal approximation to validate and correct our measurement. We compare our resulting power spectrum with previous SDSS and high-resolution measurements. With relatively small number statistics, we successfully perform the FFT measurement, which is already competitive in terms of the scale range. At the end of the DESI survey, we expect a five times larger Ly α forest sample than SDSS, providing an unprecedented precise one-dimensional power spectrum measurement. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00358711
Volume :
526
Issue :
4
Database :
Academic Search Index
Journal :
Monthly Notices of the Royal Astronomical Society
Publication Type :
Academic Journal
Accession number :
173554531
Full Text :
https://doi.org/10.1093/mnras/stad3008