4.7 Article

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stac390

关键词

methods: data analysis; cosmological parameters; distance scale; large-scale structure of Universe

资金

  1. Swiss National Science Foundation (SNF) [200020 175751]
  2. Tsinghua University
  3. sino french CNRS-CAS international laboratories LIA Origins
  4. FCPPL
  5. National Research Foundation of Korea (NRF) - Korean Ministry of Education, Science, and Technology (MoEST) [2017R1E1A1A01077508, 2020R1A2C1005655]
  6. U.S. Department of Energy Office of Science User Facility [DE-AC02-05CH11231]
  7. Alfred P. Sloan Foundation
  8. U.S. Department of Energy Office of Science
  9. Center for HighPerformance Computing at the University of Utah
  10. Brazilian Participation Group
  11. Carnegie Institution for Science
  12. Carnegie Mellon University
  13. Chilean Participation Group
  14. French Participation Group
  15. Harvard-Smithsonian Center for Astrophysics
  16. Instituto de Astrofisica de Canarias
  17. Johns Hopkins University
  18. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  19. Korean Participation Group
  20. Lawrence Berkeley National Laboratory
  21. Leibniz Institut fur Astrophysik Potsdam (AIP)
  22. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  23. Max-Planck-Institut fur Astrophysik (MPA Garching)
  24. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  25. National Astronomical Observatories of China
  26. New Mexico State University
  27. New York University
  28. University of Notre Dame
  29. Observatario Nacional/MCTI
  30. Ohio State University
  31. Pennsylvania State University
  32. Shanghai Astronomical Observatory
  33. United Kingdom Participation Group
  34. Universidad Nacional Autonoma de Mexico
  35. University of Arizona
  36. University of Colorado Boulder
  37. University of Oxford
  38. University of Portsmouth
  39. University of Utah
  40. University of Virginia
  41. University of Washington
  42. University of Wisconsin
  43. Vanderbilt University
  44. Yale University
  45. [SEV-2015-0548]
  46. [RYC2015-18693]
  47. [AYA2017-89891-P]
  48. Swiss National Science Foundation (SNF) [200020_175751] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

In this study, cosmic void catalogues were constructed using the DIVE void finder on SDSS BOSS DR12 and eBOSS DR16 galaxy samples with BAO reconstruction. A joint BAO analysis was performed using different types of galaxies and their corresponding voids, and the BAO peak was observed. By combining the clustering of galaxies and voids, improvements in the uncertainties of BAO measurements were achieved, leading to constraints on distance values.
We construct cosmic void catalogues with the DIVE void finder upon SDSS BOSS DR12 and eBOSS DR16 galaxy samples with BAO reconstruction, and perform a joint BAO analysis using different types of galaxies and the corresponding voids. The BAO peak is evident for the galaxy-galaxy, galaxy-void, and void-void correlation functions of all data sets, including the ones cross-correlating LRG and ELG samples. Two multitracer BAO fitting schemes are tested, one combining the galaxy and void correlation functions with a weight applied to voids, and the other using a single BAO dilation parameter for all clustering measurements. Both methods produce consistent results with mock catalogues, and on average similar to 10 per cent improvements of the BAO statistical uncertainties are observed for all samples, compared to the results from galaxies alone. By combining the clustering of galaxies and voids, the uncertainties of BAO measurements from the SDSS data are reduced by 5-15 per cent, yielding 0.9 per cent, 0.8 per cent, 1.1 per cent, 2.3 per cent, and 2.9 per cent constraints on the distance D-V (z), at effective redshifts 0.38, 0.51, 0.70, 0.77, and 0.85, respectively. When combined with BAO measurements from SDSS MGS, QSO, and Lyasamples, as well as the BBN results, we obtain H-0 = 67.58 +/- 0.91 km s(-1) Mpc(-1), Omega(m) = 0.290 +/- 0.015, and Omega(Lambda)h(2) = 0.3241 +/- 0.0079 in the flat-Lambda CDM framework, where the 1 sigma uncertainties are around 6 per cent, 6 per cent, and 17 per cent smaller respectively, compared to constraints from the corresponding anisotropic BAO measurements without voids and LRG-ELG cross-correlations.

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