4.7 Article

The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: measuring structure growth using passive galaxies

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2012.21404.x

关键词

surveys; Cosmology: observations; dark energy - large-scale structure of Universe

资金

  1. European Research Council
  2. National Science Foundation [AST-0901965]
  3. Alfred P. Sloan Foundation
  4. National Science Foundation
  5. US Department of Energy
  6. University of Arizona
  7. Brazilian Participation Group
  8. Brookhaven National Laboratory
  9. University of Cambridge
  10. Carnegie Mellon University
  11. University of Florida
  12. French Participation Group
  13. German Participation Group
  14. Harvard University
  15. Instituto de Astrofisica de Canarias
  16. Michigan State/Notre Dame/JINA Participation Group
  17. Johns Hopkins University
  18. Lawrence Berkeley National Laboratory
  19. Max Planck Institute for Astrophysics
  20. Max Planck Institute for Extraterrestrial Physics
  21. New Mexico State University
  22. New York University
  23. Ohio State University
  24. Pennsylvania State University
  25. University of Portsmouth
  26. Princeton University
  27. Spanish Participation Group
  28. University of Tokyo
  29. University of Utah
  30. Vanderbilt University
  31. University of Virginia
  32. University of Washington
  33. Yale University
  34. STFC [ST/H002774/1, ST/I001204/1] Funding Source: UKRI
  35. Science and Technology Facilities Council [ST/H002774/1, ST/I001204/1] Funding Source: researchfish
  36. ICREA Funding Source: Custom
  37. Direct For Mathematical & Physical Scien
  38. Division Of Astronomical Sciences [0901965] Funding Source: National Science Foundation

向作者/读者索取更多资源

We explore the benefits of using a passively evolving population of galaxies to measure the evolution of the rate of structure growth between z = 0.25 and 0.65 by combining data from the Sloan Digital Sky Survey (SDSS) I/II and SDSS-III surveys. The large-scale linear bias of a population of dynamically passive galaxies, which we select from both surveys, is easily modelled. Knowing the bias evolution breaks degeneracies inherent to other methodologies, and decreases the uncertainty in measurements of the rate of structure growth and the normalization of the galaxy power spectrum by up to a factor of 2. If we translate our measurements into a constraint on s8(z = 0) assuming a concordance cosmological model and general relativity (GR), we find that using a bias model improves our uncertainty by a factor of nearly 1.5. Our results are consistent with a flat ? cold dark matter model and with GR.

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