Galaxy Correlation Statistics of Mock Catalogs for the DEEP2 Survey

Abstract

The DEEP2 project will obtain redshifts for ~60,000 galaxies between z~0.7-1.5 in a comoving volume of 7 10^6 Mpc/h^3 for an LCDM universe. The survey will map four separate 2 by 0.5 degree strips of the sky. To study the expected clustering, we have constructed mock galaxy catalogs from the GIF Virgo Consortium simulations. We present two- and three-point correlation analyses of these mock galaxy catalogs to test how well we will measure these statistics in the presence of selection biases which will limit the surface density of galaxies which we can select for spectroscopy. We find that neither the two-point nor three-point correlation functions are significantly compromised. We will be able to make simple corrections to account for the small amount of bias introduced. We quantify the expected redshift distortions due to random orbital velocities of galaxies within groups and clusters on small scales of ~1 Mpc/h using the pairwise velocity dispersion sigma_12 and galaxy-weighted velocity dispersion sigma_1, which we are able to measure within ~10%. We also estimate the expected large-scale coherent infall of galaxies due to supercluster formation (``Kaiser effect''). From this measure we will be able to constrain beta to within ~0.1 at z=1. For the DEEP2 survey we will combine the correlation statistics with galaxy observables such as spectral type, morphology, absolute luminosity, and linewidth to measure the relative biases in different galaxy types. Here we use a counts-in-cells analysis to measure sigma_8 as a function of redshift and determine the relative bias between galaxy samples based on absolute luminosity. We expect to measure sigma_8 to within 10% and detect the evolution of relative bias with redshift at the 4-5 sigma level.