Biasing and Genus Statistics of Dark Matter Halos in the Hubble Volume Simulation

Abstract

We present a numerical analysis of genus statistics for dark matter halo catalogs from the Hubble volume simulation. The huge box-size of the Hubble volume simulation enables us to carry out a reliable statistical analysis of the biasing properties of halos at a Gaussian smoothing scale of R_G>30Mpc/h with a cluster-mass scale of between 7*10^{13}Msolar/h and 6*10^{15}Msolar/h. A detailed comparison of the genus for dark matter halos with that for the mass distribution shows that the non-Gaussianity induced by the halo biasing is comparable to that by nonlinear gravitational evolution, and both the shape and the amplitude of the genus are almost insensitive to the halo mass at R_G>30Mpc/h. In order to characterize the biasing effect on the genus, we apply a perturbative formula developed by Matsubara (1994). We find that the perturbative formula well describes the simulated halo genus at R_G>50Mpc/h. The result indicates that the biasing effect on the halo genus is well approximated by nonlinear deterministic biasing up to the second-order term in the mass density fluctuation. The two parameters describing the linear and quadratic terms in the nonlinear biasing accurately specify the genus for galaxy clusters.