4.7 Article

ROBUST OPTICAL RICHNESS ESTIMATION WITH REDUCED SCATTER

期刊

ASTROPHYSICAL JOURNAL
卷 746, 期 2, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/746/2/178

关键词

galaxies: clusters: general; methods: data analysis; X-rays: galaxies: clusters

资金

  1. Office of Science, Office of High Energy and Nuclear Physics, of the U.S. Department of Energy [AC02-05CH11231]
  2. NASA [PF9-00068, NNX07AN58G]
  3. National Science Foundation [AST-0902010, AST-0708150]
  4. DOE [DE-AC03-76SF00515]
  5. Alfred P. Sloan Foundation
  6. National Science Foundation
  7. US Department of Energy
  8. National Aeronautics and Space Administration
  9. Japanese Monbukagakusho
  10. Max Planck Society
  11. Higher Education Funding Council for England
  12. American Museum of Natural History
  13. Astrophysical Institute Potsdam
  14. University of Basel
  15. University of Cambridge
  16. Case Western Reserve University
  17. University of Chicago
  18. Drexel University
  19. Fermilab
  20. Institute for Advanced Study
  21. Japan Participation Group
  22. Johns Hopkins University
  23. Joint Institute for Nuclear Astrophysics
  24. Kavli Institute for Particle Astrophysics and Cosmology
  25. Korean Scientist Group
  26. Chinese Academy of Sciences (LAMOST)
  27. Los Alamos National Laboratory
  28. Max-Planck-Institute for Astronomy (MPIA)
  29. Max-Planck-Institute for Astrophysics (MPA)
  30. New Mexico State University
  31. Ohio State University
  32. University of Pittsburgh
  33. University of Portsmouth
  34. Princeton University
  35. United States Naval Observatory
  36. University of Washington
  37. Direct For Mathematical & Physical Scien
  38. Division Of Astronomical Sciences [0902010, 0807304] Funding Source: National Science Foundation

向作者/读者索取更多资源

Reducing the scatter between cluster mass and optical richness is a key goal for cluster cosmology from photometric catalogs. We consider various modifications to the red-sequence-matched filter richness estimator of Rozo et al. implemented on the maxBCG cluster catalog and evaluate the impact of these changes on the scatter in X-ray luminosity (L-X) at fixed richness, using L-X from the ROSAT All-Sky Catalog as the best mass proxy available for the large area required. Most significantly, we find that deeper luminosity cuts can reduce the recovered scatter, finding that sigma(ln LX vertical bar lambda) = 0.63 +/- 0.02 for clusters with M-500c greater than or similar to 1.6 x 10(14) h(70)(-1) M-circle dot. The corresponding scatter in mass at fixed richness is sigma(ln) (M vertical bar lambda) approximate to 0.2-0.3 depending on the richness, comparable to that for total X-ray luminosity. We find that including blue galaxies in the richness estimate increases the scatter, as does weighting galaxies by their optical luminosity. We further demonstrate that our richness estimator is very robust. Specifically, the filter employed when estimating richness can be calibrated directly from the data, without requiring a priori calibrations of the red sequence. We also demonstrate that the recovered richness is robust to up to 50% uncertainties in the galaxy background, as well as to the choice of photometric filter employed, so long as the filters span the 4000 angstrom break of red-sequence galaxies. Consequently, our richness estimator can be used to compare richness estimates of different clusters, even if they do not share the same photometric data. Appendix A includes easy-bake instructions for implementing our optimal richness estimator, and we are releasing an implementation of the code that works with Sloan Digital Sky Survey data, as well as an augmented maxBCG catalog with the lambda richness measured for each cluster.

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