학술논문
The Dark Energy Spectroscopic Instrument: One-dimensional power spectrum from first Lyman-$\alpha$ forest samples with Fast Fourier Transform
Document Type
Working Paper
Author
Ravoux, Corentin; Karim, Marie Lynn Abdul; 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; Doel, Peter; Fanning, Kevin; Font-Ribera, Andreu; Forero-Romero, Jaime; Gontcho, Satya Gontcho A; Gonzalez-Morales, Alma; Gordon, Calum; Herrera-Alcantar, Hiram; Honscheid, Klaus; Iršič, Vid; Ishak, Mustapha; Kehoe, Robert; Kisner, Theodore; Kremin, Anthony; Landriau, Martin; Guillou, Laurent Le; Levi, Michael; Lukić, Zarija; Magneville, Christophe; Meisner, Aaron; Miquel, Ramon; Moustakas, John; Mueller, Eva-Maria; Muñoz-Gutiérrez, Andrea; Napolitano, Lucas; Nie, Jundan; Niz, Gustavo; Palanque-Delabrouille, Nathalie; Percival, Will; Pérez-Ràfols, Ignasi; Pieri, Matthew; Poppett, Claire; Prada, Francisco; Pérez, César Ramírez; Rossi, Graziano; Sanchez, Eusebio; Schlegel, David; Schubnell, Michael; Seo, Hee-Jong; Sinigaglia, Francesco; Tan, Ting; Tarlé, Gregory; Wang, Ben; Weaver, Benjamin; Yèche, Christophe; Zhou, Zhimin
Source
MNRAS, Volume 526, Issue 4, December 2023, Pages 5118-5140
Subject
Language
Abstract
We present the one-dimensional Lyman-$\alpha$ 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 two 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 to the new DESI instrument, applying techniques similar to previous Sloan Digital Sky Survey (SDSS) measurements. We use synthetic data based on log-normal 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 Lyman-$\alpha$ forest sample than SDSS, providing an unprecedented precise one-dimensional power spectrum measurement.
Comment: 23 pages, 23 figures, Journal version
Comment: 23 pages, 23 figures, Journal version