4.7 Article

The clustering of galaxies at z ≈ 0.5 in the SDSS-III Data Release 9 BOSS-CMASS sample: a test for the ΛCDM cosmology

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stt513

关键词

methods: numerical; methods: observational; galaxies: general; cosmology: theory; large-scale structure of Universe

资金

  1. Alfred P. Sloan Foundation
  2. University of Arizona
  3. Brazilian Participation Group
  4. Brookhaven National Laboratory
  5. University of Cambridge
  6. University of Florida
  7. French Participation Group
  8. German Participation Group
  9. Instituto de Astrofisica de Canarias
  10. Michigan State/Notre Dame/JINA Participation Group
  11. Johns Hopkins University
  12. Lawrence Berkeley National Laboratory
  13. Max Planck Institute for Astrophysics
  14. New Mexico State University
  15. New York University
  16. Ohio State University
  17. Pennsylvania State University
  18. University of Portsmouth
  19. Princeton University
  20. Spanish Participation Group
  21. University of Tokyo
  22. University of Utah
  23. Vanderbilt University
  24. University of Virginia
  25. University of Washington
  26. Yale University
  27. National Science Foundation
  28. US Department of Energy
  29. Spanish MultiDark Consolider Project [CSD2009-00064]
  30. Spanish MICINN [CSD2009-00064]
  31. Deutsche Forschungsgemeinschaft [MU1020 16-1]
  32. MICINN Spanish [AYA2010-21231-C02-01]
  33. Campus of International Excellence UAM+CSIC
  34. NSF
  35. Direct For Mathematical & Physical Scien
  36. Division Of Astronomical Sciences [1009908] Funding Source: National Science Foundation
  37. Science and Technology Facilities Council [ST/K00090X/1] Funding Source: researchfish
  38. STFC [ST/K00090X/1] Funding Source: UKRI

向作者/读者索取更多资源

We present results on the clustering of 282 068 galaxies in the Baryon Oscillation Spectroscopic Survey (BOSS) sample of massive galaxies with redshifts 0.4 < z < 0.7 which is part of the Sloan Digital Sky Survey III project. Our results cover a large range of scales from similar to 500 to similar to 90 h(-1) Mpc. We compare these estimates with the expectations of the flat Lambda cold dark matter (Lambda CDM) standard cosmological model with parameters compatible with Wilkinson Microwave Anisotropy Probe 7 data. We use the MultiDark cosmological simulation, one of the largest N-body runs presently available, together with a simple halo abundance matching technique, to estimate galaxy correlation functions, power spectra, abundance of subhaloes and galaxy biases. We find that the Lambda CDM model gives a reasonable description to the observed correlation functions at z approximate to 0.5, which is remarkably good agreement considering that the model, once matched to the observed abundance of BOSS galaxies, does not have any free parameters. However, we find a greater than or similar to 10 per cent deviation in the correlation functions for scales less than or similar to 1 and similar to 10-40 h(-1) Mpc. A more realistic abundance matching model and better statistics from upcoming observations are needed to clarify the situation. We also estimate that about 12 per cent of the 'galaxies' in the abundance-matched sample are satellites inhabiting central haloes with mass M greater than or similar to 10(14) h(-1) M-circle dot. Using the MultiDark simulation, we also study the real-space halo bias b of the matched catalogue finding that b = 2.00 +/- 0.07 at large scales, consistent with the one obtained using the measured BOSS-projected correlation function. Furthermore, the linear large-scale bias, defined using the extrapolated linear matter power spectrum, depends on the number density n of the abundance-matched sample as b = -0.048 - (0.594 +/- 0.02)log(10)(n/h(3) Mpc(-3)). Extrapolating these results to baryon acoustic oscillation scales, we measure a scale-dependent damping of the acoustic signal produced by non-linear evolution that leads to similar to 2-4 per cent dips at greater than or similar to 3 sigma level for wavenumbers k greater than or similar to 0.1 h Mpc(-1) in the linear large-scale bias.

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