AAS 205th Meeting, 9-13 January 2005
Session 157 Cluster of Galaxies and Dark Matter
Oral, Thursday, January 13, 2005, 10:00-11:30am, Pacific 2/3

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[157.01] Type Dependent Galaxy Cross-Correlations Explained by Semi-Analytic Model

T. Budavari (JHU), L. Gao (MPA), A. S. Szalay (JHU), S. D. M. White (MPA)

We present new results from the largest angular galaxy clustering study to date using Sloan Digital Sky Survey imaging data. In a volume limited sample out to a photometric redshift of z=0.3, we analyze the cross-correlation function of intrinsically red and blue galaxies and find that the clustering behavior of galaxies does not follow the simple linear bias model at small scales and the cross-correlations track the auto-correlation function of the blue galaxies. We analyze mock catalogs from the GIF2 high-resolution cosmological simulations and find that the semi-analytic models show similar trends and the two-point functions are in an excellent qualitative agreement with the SDSS results. In the simulated catalogs, one can separate the different contributions to the correlation functions; pairs from the same halo and from different haloes. We find that the halo model provides an explaination to the puzzling signature seen in the SDSS measurements at short scales and the red vs. blue galaxy cross-correlation function converges to the geometrical mean of the two auto-correlation functions only at larger scales, where the 2-halo term dominates.

The author(s) of this abstract have provided an email address for comments about the abstract: budavari@jhu.edu

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© 2004. The American Astronomical Society.