The MICE grand challenge lightcone simulation-I. Dark matter clustering

P. Fosalba, M. Crocce, E. Gaztañaga, F. J. Castander

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    95 Citations (Scopus)

    Abstract

    © 2015 The Author Published by Oxford University Press on behalf of the Royal Astronomical Society. We present a new N-body simulation from the Marenostrum Institut de Ciències de l'Espai (MICE) collaboration, the MICE Grand Challenge (MICE-GC), containing about 70 billion darkmatter particles in a (3 Gpc h-1)3 comoving volume. Given its large volume and fine spatial resolution, spanning over five orders of magnitude in dynamic range, it allows an accurate modelling of the growth of structure in the universe from the linear through the highly nonlinear regime of gravitational clustering. We validate the dark matter simulation outputs using 3D and 2D clustering statistics, and discussmass-resolution effects in the non-linear regime by comparing to previous simulations and the latest numerical fits. We show that the MICE-GC run allows for a measurement of the BAO feature with per cent level accuracy and compare it to state-of-the-art theoretical models. We also use sub-arcmin resolution pixelized 2D maps of the dark matter counts in the lightcone to make tomographic analyses in real and redshift space. Our analysis shows the simulation reproduces the Kaiser effect on large scales, whereas we find a significant suppression of power on non-linear scales relative to the real space clustering. We complete our validation by presenting an analysis of the three-point correlation function in this and previous MICE simulations, finding further evidence for mass-resolution effects. This is the first of a series of three papers in which we present the MICE-GC simulation, along with a wide and deep mock galaxy catalogue built from it. This mock is made publicly available through a dedicated web portal, http://cosmohub.pic.es.
    Original languageEnglish
    Pages (from-to)2987-3000
    JournalMonthly Notices of the Royal Astronomical Society
    Volume448
    Issue number4
    DOIs
    Publication statusPublished - 1 Jan 2015

    Keywords

    • Dark matter
    • Galaxies: Statistics
    • Large-scale structure of Universe
    • Methods
    • Numerical

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