Published in

Oxford University Press, Monthly Notices of the Royal Astronomical Society, 4(526), p. 5118-5140, 2023

DOI: 10.1093/mnras/stad3008

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

Journal article published in 2023 by Corentin Ravoux ORCID, Marie Lynn Abdul Karim, Eric Armengaud ORCID, Michael Walther ORCID, Naim Göksel Karaçaylı ORCID, Paul Martini, Julien Guy, Jessica Nicole Aguilar, Steven Ahlen ORCID, Stephen Bailey ORCID, Julian Bautista ORCID, Sergio Felipe Beltran ORCID, David Brooks, Laura Cabayol-Garcia, Solène Chabanier ORCID and other authors.
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Data provided by SHERPA/RoMEO

Abstract

ABSTRACTWe 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.