Optimal 1D Lyα Forest Power Spectrum Estimation – II. KODIAQ, SQUAD & XQ-100

Author:

Karaçayli Naim Göksel1,Padmanabhan Nikhil12ORCID,Font-Ribera Andreu34ORCID,Iršič Vid5,Walther Michael6ORCID,Brooks David4,Gaztañaga Enrique78,Kehoe Robert9,Levi Michael10,Ntelis Pierros11ORCID,Palanque-Delabrouille Nathalie6,Tarlé Gregory12

Affiliation:

1. Department of Physics, Yale University, New Haven, CT, USA

2. Department of Astronomy, Yale University, New Haven, CT, USA

3. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, 08193 Bellaterra (Barcelona), Spain

4. Department of Physics and Astronomy, University College London, London, UK

5. Kavli Institute for Cosmology, Department of Physics, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK

6. IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France

7. Institut d’Estudis Espacials de Catalunya (IEEC), E-08034 Barcelona, Spain

8. Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain

9. Department of Physics, Southern Methodist University, 3215 Daniel Ave., Dallas, TX 75205, USA

10. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA

11. Aix-Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France

12. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA

Abstract

Abstract We measure the 1D Ly α power spectrum P1Dfrom Keck Observatory Database of Ionized Absorption toward Quasars (KODIAQ), The Spectral Quasar Absorption Database (SQUAD) and XQ-100 quasars using the optimal quadratic estimator. We combine KODIAQ and SQUAD at the spectrum level, but perform a separate XQ-100 estimation to control its large resolution corrections in check. Our final analysis measures P1Dat scales k < 0.1 s km−1between redshifts z = 2.0–4.6 using 538 quasars. This sample provides the largest number of high-resolution, high-S/N observations; and combined with the power of optimal estimator it provides exceptional precision at small scales. These small-scale modes (k ≳ 0.02 s km−1), unavailable in Sloan Digital Sky Survey (SDSS) and Dark Energy Spectroscopic Instrument (DESI) analyses, are sensitive to the thermal state and reionization history of the intergalactic medium, as well as the nature of dark matter. As an example, a simple Fisher forecast analysis estimates that our results can improve small-scale cut off sensitivity by more than a factor of 2.

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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