4.7 Article

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 503, Issue 1, Pages 1149-1173

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab510

Keywords

methods: numerical; catalogues; cosmology: large-scale structure of Universe

Funding

  1. SNF [200020 175751]
  2. ERC advanced grant LIDA
  3. P2IO LabEx [ANR-10-LABX-0038, ANR-11-IDEX-0003-01]
  4. Ohio State University Center for Cosmology and Particle Physics
  5. ANReBOSS project of the French National Research Agency [ANR-16-CE31-0021]
  6. National Research Foundation of Korea (NRF) - Korean Ministry of Education, Science and Technology (MoEST) [2017R1E1A1A01077508, 2020R1A2C1005655]
  7. Sejong University
  8. European Research Council through the COSFORM Research Grant [670193]
  9. National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility [DE-AC02-05CH11231]
  10. ICG
  11. SEPNet
  12. University of Portsmouth
  13. Alfred P. Sloan Foundation
  14. U.S. Department of Energy Office of Science
  15. Center for HighPerformance Computing at the University of Utah
  16. Brazilian Participation Group
  17. Carnegie Institution for Science
  18. Carnegie Mellon University
  19. Chilean Participation Group
  20. French Participation Group
  21. Harvard-Smithsonian Center for Astrophysics
  22. Instituto de Astrofisica de Canarias
  23. Johns Hopkins University
  24. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  25. Korean Participation Group
  26. Lawrence Berkeley National Laboratory
  27. Leibniz Institut fur Astrophysik Potsdam (AIP)
  28. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  29. Max-Planck-Institut fur Astrophysik (MPA Garching)
  30. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  31. National Astronomical Observatories of China
  32. New Mexico State University
  33. New York University
  34. University of Notre Dame
  35. Observatario Nacional/MCTI
  36. Ohio State University
  37. Pennsylvania State University
  38. Shanghai Astronomical Observatory
  39. United Kingdom Participation Group
  40. Universidad Nacional Autonoma de Mexico
  41. University of Arizona
  42. University of Colorado Boulder
  43. University of Oxford
  44. University of Utah
  45. University of Virginia
  46. University of Washington
  47. University of Wisconsin
  48. Vanderbilt University
  49. Yale University
  50. [ANR-17-CE31-0024-01]

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The study produced 1000 synthetic clustering catalogues to provide reliable estimates and test the robustness of the analysis of the Sloan Digital Sky Surveys data. By extending the Zel'dovich approximation density field with an effective tracer bias model, the researchers accurately reproduced the clustering statistics of the tracers in the redshift space.
We produce 1000 realizations of synthetic clustering catalogues for each type of the tracers used for the baryon acoustic oscillation and redshift space distortion analysis of the Sloan Digital Sky Surveys-IV extended Baryon Oscillation Spectroscopic Survey final data release (eBOSS DR16), covering the redshift range from 0.6 to 2.2, to provide reliable estimates of covariance matrices and test the robustness of the analysis pipeline with respect to observational systematics. By extending the Zel'dovich approximation density field with an effective tracer bias model calibrated with the clustering measurements from the observational data, we accurately reproduce the two- and three-point clustering statistics of the eBOSSDR16 tracers, including their cross-correlations in redshift space with very lowcomputational costs. In addition, we include the gravitational evolution of structures and sample selection biases at different redshifts, as well as various photometric and spectroscopic systematic effects. The agreements on the autoclustering statistics between the data and mocks are generally within 1 s variances inferred from the mocks, for scales down to a few h(-1) Mpc in configuration space, and up to 0.3 h Mpc(-1) in Fourier space. For the cross correlations between different tracers, the same level of consistency presents in configuration space, while there are only discrepancies in Fourier space for scales above 0.15 h Mpc(-1). The accurate reproduction of the data clustering statistics permits reliable covariances for multi-tracer analysis.

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