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MoLUSC: A MOck Local Universe Survey Constructor

Abstract : This paper presents MoLUSC, a new method for generating mock galaxy catalogs from a large scale ($\approx 1000^3$ Mpc$^3$) dark matter simulation, that requires only modest CPU time and memory allocation. The method uses a small-scale ($\approx 256^3$ Mpc$^3$) 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.
Keywords : Astrophysics
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Contributor : Dominique Girod <>
Submitted on : Tuesday, July 8, 2008 - 10:38:23 AM
Last modification on : Tuesday, November 19, 2019 - 2:43:00 AM

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T. Sousbie, H.M. Courtois, G. Bryan, J. Devriendt. MoLUSC: A MOck Local Universe Survey Constructor. The Astrophysical Journal, American Astronomical Society, 2008, 678, pp.569-577. ⟨10.1086/526507⟩. ⟨in2p3-00293961⟩



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