4.7 Article

A robust distance measurement and dark energy constraints from the spherically averaged correlation function of Sloan Digital Sky Survey luminous red Galaxies

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2012.20971.x

关键词

cosmology: observations; distance scale; large-scale structure of Universe

资金

  1. DOE [DE-FG02-04ER41305]
  2. Alfred P. Sloan Foundation
  3. National Aeronautics and Space Administration
  4. National Science Fondation
  5. U.S. Department of Energy
  6. Japanese Monbukagakusho
  7. Max Planck Society
  8. University of Chicago
  9. Fermilab
  10. Institute for Advanced Study
  11. Japan Participation Group
  12. Johns Hopkins University
  13. Los Alamos National Laboratory
  14. Max-Planck-Institute for Astronomy (MPIA)
  15. Max-Planck-Institute for Astrophysics (MPA)
  16. New Mexico State University
  17. University of Pittsburgh
  18. Princeton University
  19. United States Naval Observatory
  20. University of Washington

向作者/读者索取更多资源

We measure the effective distance to z= 0.35, DV(0.35) from the overall shape of the spherically averaged two-point correlation function (2PCF) of the Sloan Digital Sky Survey (SDSS) data release 7 luminous red galaxy sample. We find DV(0.35)=1428+74-73 without assuming a dark energy model or a flat Universe. We find that the derived measurement of (the ratio of the sound horizon at the drag epoch to the effective distance to z= 0.35) is more tightly constrained and more robust with respect to possible systematic effects. It is also nearly uncorrelated with . Combining our results with the cosmic microwave background and supernova data, we obtain and w=-1.010+0.046-0.045 (assuming a constant dark energy equation of state). We use LasDamas SDSS mock catalogues to compute the covariance matrix of the correlation function and investigate the use of lognormal catalogues as an alternative. We find that the input correlation function can be accurately recovered from lognormal catalogues, although they give larger errors on all scales (especially on small scales) compared to the mock catalogues derived from cosmological N-body simulations.

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