This paper presents MoLUSC, a new method for generating mock galaxy catalogs from a large scale (≈10003 Mpc3) dark matter simulation, that requires only modest CPU time and memory allocation. The method uses a small-scale (≈2563 Mpc3) dark matter simulation on which the \galics semi-analytic code has been run in order to define the transformation from dark matter density to galaxy density transformation 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 which have been conducted to validate the method, and demonstrate a first application to generate a mock Sloan Digital Sky Survey redshift survey.
@article{arxiv.astro-ph/0612166,
title = {MoLUSC: A MOck Local Universe Survey Constructor},
author = {T. Sousbie and H. Courtois and G. Bryan and J. Devriendt},
journal= {arXiv preprint arXiv:astro-ph/0612166},
year = {2015}
}