4.6 Article

The one-dimensional power spectrum from the SDSS DR14 Ly alpha forests

Journal

Publisher

IOP Publishing Ltd
DOI: 10.1088/1475-7516/2019/07/017

Keywords

Lyman alpha forest; power spectrum; redshift surveys

Funding

  1. PRACE
  2. Curie fat nodes, based in France at TGCC [2010PA2777, 2014102371, 2012071264, ANR-17-CE31-0024-01]
  3. Agence Nationale de la Recherche
  4. Alfred P. Sloan Foundation
  5. U.S. Department of Energy Office of Science
  6. Carnegie Institution for Science
  7. Chilean Participation Group
  8. French Participation Group
  9. Harvard-Smithsonian Center for Astrophysics
  10. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  11. Max-Planck-Institut fur Astrophysik (MPA Garching)
  12. Max-Planck-Institut fur Extrater-restrische Physik (MPE)
  13. New Mexico State University, New York University, University of Notre Dame, Observatario Nacional/MCTI
  14. Shanghai Astronomical Observatory, United Kingdom Participation Group
  15. Yale University
  16. STFC [ST/L005077/1, ST/N003853/1, ST/S000550/1, ST/M002047/1, ST/P00556X/1] Funding Source: UKRI
  17. National Research Foundation of Korea [2017R1E1A1A01077508] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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We present a measurement of the 1D Ly alpha forest flux power spectrum, using the complete Baryon Oscillation Spectroscopic Survey (BOSS) and first extended-BOSS (eBOSS) quasars at z(qso) > 2.1, corresponding to the fourteenth data release (DR14) of the Sloan Digital Sky Survey (SDSS). Our results cover thirteen bins in redshift from z(Ly alpha) = 2.2 to 4.6, and scales up to k = 0 : 02 (km/s)(-1). From a parent sample of 180,413 visually inspected spectra, we selected the 43,751 quasars with the best quality; this data set improves the previous result from the ninth data release (DR9), both in statistical precision (achieving a reduction by a factor of two) and in redshift coverage. We also present a thorough investigation of identified sources of systematic uncertainties that affect the measurement. The resulting 1D power spectrum of this work is in excellent agreement with the one from the BOSS DR9 data.

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