Correlations of Faint Galaxies: A Monte Carlo Approach

Abstract

Monte Carlo methods are employed to study the angular correlations arising from simulated galaxy clusters in flux-limited samples. In particular, we show that the models of Chokshi and coworkers that best reproduce the general characteristics of the observed deep blue photometric counts and redshift distributions also satisfy the observed angular correlation constraints of faint galaxies, under a stable clustering hypothesis. In particular, the diminished clustering of faint simulated galaxies (24 < bj < 26) in the blue band arises from a extended high-redshift tail of simulated galaxies, in agreement with the models of Roche and coworkers.