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The Aquarius Project: Cold Dark Matter under a Numerical Microscope

Volker Springel (), Simon D. M. White, Julio Navarro, Adrian Jenkins, Carlos S. Frenk, Amina Helmi and Liang Gao
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Volker Springel: Max-Planck-Institute for Astrophysics
Simon D. M. White: Max-Planck-Institute for Astrophysics
Julio Navarro: University of Victoria
Adrian Jenkins: University of Durham, Institute for Computational Cosmology, Department of Physics
Carlos S. Frenk: University of Durham, Institute for Computational Cosmology, Department of Physics
Amina Helmi: University of Groningen, Kapteyn Astronomical Institute
Liang Gao: University of Durham, Institute for Computational Cosmology, Department of Physics

A chapter in High Performance Computing in Science and Engineering, Garching/Munich 2007, 2009, pp 93-108 from Springer

Abstract: Abstract The ‘Aquarius’ project currently performs the first ever one-billion particle simulation of a Milky Way-sized dark matter halo, improving resolution by a factor of more than 15 relative to previously published simulations of this type. This enables dramatic advances in our understanding of the structure and substructure of dark matter in our Galaxy. Our project seeks clues to the nature of the dark matter and aims to advance strategies for exploring the formation of our Galaxy, for searching for signals from dark matter annihilation, and for designing experiments for direct detection of dark matter. Here we report on the status of our calculations carried out on the HLRB-2 thus far, and discuss some of the early results we obtained. Our results show much better convergence for the properties of dark matter substructures than ever reported in the literature before. For the first time, we can reliably probe the central dark matter density cusp into a regime where the local logarithmic slope becomes shallower than −1. We also provide a description of the simulation code GADGET-3 developed specifically for this project, and highlight the new parallelization techniques we employed to deal with the extremely tightly coupled nature and high dynamic range of our simulations.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-69182-2_8

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DOI: 10.1007/978-3-540-69182-2_8

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