4.7 Article

THE CLUSTERING OF SDSS GALAXY GROUPS: MASS AND COLOR DEPENDENCE

期刊

ASTROPHYSICAL JOURNAL
卷 687, 期 2, 页码 919-935

出版社

UNIV CHICAGO PRESS
DOI: 10.1086/591836

关键词

dark matter; galaxies: halos; large-scale structure of universe

资金

  1. Shanghai Pujiang Program [07pj14102]
  2. 973 Program [2007CB815402]
  3. CAS Knowledge Innovation Program [KJCX2-YW-T05]
  4. NSFC [10533030, 10673023]
  5. NSF [AST 06-07535]
  6. NASA AISR [126270]
  7. NSF IIS [0611948]
  8. Virgo Supercomputing Consortium at the Computing Centre of the Max-Planck Society in Garching
  9. Direct For Computer & Info Scie & Enginr
  10. Div Of Information & Intelligent Systems [0611948] Funding Source: National Science Foundation

向作者/读者索取更多资源

We use a large sample of galaxy groups selected from the SDSS data release 4 with an adaptive halo-based group finder to probe how the clustering strength of groups depends on their masses and colors. In particular, we determine the relative biases of groups of different masses, as well as that of groups with the same mass but with different colors. In agreement with previous studies, we find that more massive groups are more strongly clustered, and the inferred mass dependence of the halo bias is in good agreement with predictions for the Lambda CDM concordance cosmology. Regarding the color dependence, we find that groups with red centrals are more strongly clustered than groups of the same mass but with blue centrals. Similar results are obtained when the color of a group is defined to be the total color of its member galaxies. The color dependence is more prominent in less massive groups and becomes insignificant in groups with massesk greater than or similar to 10(14) h(-1) M-circle dot. These results are consistent with those obtained by Yang et al. from an analysis of the 2dFGRS, but inconsistent with those obtained by Berlind et al., who also used an SDSS group catalog. We construct a mock galaxy redshift survey from the large Millennium N-body simulation. Applying our group finder to this mock survey, and analyzing the mock data in exactly the same way as the true data, we are able to accurately recover the intrinsic mass and color dependencies of the halo bias in the model. Interestingly, the semianalytical model reveals the same color dependence of the halo bias as we find in our group catalog. We discuss these results in light of the assembly bias of dark matter halos and the star formation histories of galaxies.

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