English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We present a numerical analysis of genus statistics for dark matter halocatalogs from the Hubble volume simulation. The huge box-size of the Hubblevolume simulation enables us to carry out a reliable statistical analysis ofthe biasing properties of halos at a Gaussian smoothing scale of R_G>30Mpc/hwith a cluster-mass scale of between 7*10^{13}Msolar/h and 6*10^{15}Msolar/h. Adetailed comparison of the genus for dark matter halos with that for the massdistribution shows that the non-Gaussianity induced by the halo biasing iscomparable to that by nonlinear gravitational evolution, and both the shape andthe amplitude of the genus are almost insensitive to the halo mass atR_G>30Mpc/h. In order to characterize the biasing effect on the genus, we applya perturbative formula developed by Matsubara (1994). We find that theperturbative formula well describes the simulated halo genus at R_G>50Mpc/h.The result indicates that the biasing effect on the halo genus is wellapproximated by nonlinear deterministic biasing up to the second-order term inthe mass density fluctuation. The two parameters describing the linear andquadratic terms in the nonlinear biasing accurately specify the genus forgalaxy clusters.Comment: 10 pages, 7 figures, accepted for publication in PASJ (Vol.55, No.2,  2003

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