Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 499, Issue 1, Pages 269-291Publisher
OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa2825
Keywords
methods: data analysis; catalogues; large-scale structure of Universe
Categories
Funding
- NILAC
- European Research Council through the COSFORM Research Grant [670193]
- National Research Foundation of Korea (NRF) - Korean Ministry of Education, Science and Technology (MoEST) [2017R1E1A1A01077508, 2020R1A2C1005655]
- faculty research fund of Sejong University
- Alfred P. Sloan Foundation
- U.S. Department of Energy Office of Science
- U.S. Department of Energy Office of Science User Facility [DE-AC02-05CH11231]
- Brazilian Participation Group
- Carnegie Institution for Science
- Carnegie Mellon University
- Chilean Participation Group
- French Participation Group
- Harvard-Smithsonian Center for Astrophysics
- Instituto de Astrofiisica de Canarias
- Johns Hopkins University
- Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
- Korean Participation Group
- Lawrence Berkeley National Laboratory
- Leibniz Institut fur Astrophysik Potsdam (AIP)
- Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
- Max-Planck-Institut fur Astrophysik (MPA Garching)
- Max-Planck-Institut fur Extraterrestrische Physik (MPE)
- National Astronomical Observatories of China
- New Mexico State University
- New York University
- University of Notre Dame
- Observatario Nacional/MCTI
- Ohio State University
- Pennsylvania State University
- Shanghai Astronomical Observatory
- United Kingdom Participation Group
- Universidad Nacional Autonoma de Mexico
- University of Arizona
- University of Colorado Boulder
- University of Oxford
- University of Portsmouth
- University of Utah
- University of Virginia
- University of Washington
- University of Wisconsin
- Vanderbilt University
- Yale University
- BEIS capital funding via STFC capital grants [ST/K00042X/1, ST/P002293/1, ST/R002371/1, ST/S002502/1]
- Durham University
- STFC operations grant [ST/R000832/1]
- [ANR-16-CE31-0021]
- [ANR-17-CE31-0024-01]
- STFC [ST/R000832/1, ST/K00042X/1, ST/S002502/1, ST/P002293/1, ST/R002371/1] Funding Source: UKRI
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The growth rate and expansion history of the Universe can be measured from large galaxy redshift surveys using the Alcock-Paczynski effect. We validate the Redshift Space Distortion models used in the final analysis of the Sloan Digital Sky Survey (SDSS) extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 quasar clustering sample, in configuration and Fourier space, using a series of halo occupation distribution mock catalogues generated using the OuterRim N-body simulation. We test three models on a series of non-blind mocks, in the OuterRim cosmology, and blind mocks, which have been rescaled to new cosmologies, and investigate the effects of redshift smearing and catastrophic redshifts. We find that for the non-blind mocks, the models are able to recover fs8 to within 3 per cent and alpha(parallel to) and alpha(perpendicular to) to within 1 per cent. The scatter in the measurements is larger for the blind mocks, due to the assumption of an incorrect fiducial cosmology. From this mock challenge, we find that all three models perform well, with similar systematic errors on f sigma(8), alpha(parallel to), and alpha(perpendicular to) at the level of sigma f sigma(8) = 0.013, sigma(alpha parallel to) = 0.012, and sigma(alpha perpendicular to) = 0.008. The systematic error on the combined consensus is sigma f sigma(8) = 0.011, sigma(a) = 0.008, and sa. = 0.005, which is used in the final DR16 analysis. For baryon acoustic oscillation fits in configuration and Fourier space, we take conservative systematic errors of sigma(alpha parallel to) = 0.010 and sigma(alpha perpendicular to) = 0.007.
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