MoLUSC: A Mock Local Universe Survey Constructor

Details MoLUSC: A Mock Local Universe Survey Constructor MoLUSC: A Mock Local Universe Survey Constructor

May 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008apj...678..569s&link_type=abstract

The Astrophysical Journal, Volume 678, Issue 2, pp. 569-577.

Statistics

1

Galaxies: Statistics, Cosmology: Large-Scale Structure Of Universe, Methods: N-Body Simulations, Methods: Numerical, Methods: Statistical

Scientific paper

This paper presents MoLUSC, a new method for generating mock galaxy catalogs from a large-scale (~10003 Mpc3) dark matter simulation, which requires only modest CPU time and memory allocation. The method uses a small-scale (~1503 Mpc3) dark matter simulation on which the GalICS semianalytic code has been run in order to define the transformation from dark matter density to galaxy density using a probabilistic treatment. MoLUSC is then applied to a large-scale dark matter simulation in order to produce a realistic distribution of galaxies and their associated spectra. This permits the fast generation of large-scale mock surveys using relatively low-resolution simulations. We describe various tests that have been conducted to validate the method and illustrate it by generating a mock Sloan Digital Sky Survey redshift survey.

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