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Data Mining of the MultiDark Simulation

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Astrostatistics and Data Mining

Part of the book series: Springer Series in Astrostatistics ((SSIA,volume 2))

Abstract

The MultiDark database (www.multidark.org) provides results from large cosmological simulations performed within the Multimessenger Approach for Dark Matter Detection (MULTIDARK) project. Currently, simulation products of a large [(1 Gpc ∕ h)3 and 20483 particles] simulation are available online. The first data release, DR1, contains FOF halo catalogues with various linking lengths, BDM halo catalogues with halo profiles, merger trees and, for selected redshifts, the complete particle data of the MultiDark Run 1 (MDR1).

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Notes

  1. 1.

    http://www.star.bris.ac.uk/~mbt/topcat/

References

  1. Prada F, Klypin A, Cuesta A, Betancort-Rijo J, Primack J (2011) Halo concentrations in the LCDM cosmology. arXiv:1104.5130

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  2. Klypin A, Trujillo-Gomez S, Primack J (2010) Halos and galaxies in the standard cosmological model: results from the Bolshoi simulation. arXiv:1002.3660

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Author information

Authors and Affiliations

  1. Leibniz-Institut für Astrophysik Potsdam, An der Sternwarte 16, D-14482, Potsdam, Germany

    Adrian M. Partl

Authors
  1. Adrian M. Partl
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the MultiDark Database Collaboration

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Correspondence to Adrian M. Partl .

Editor information

Editors and Affiliations

  1. , Department of Statistics, Universidad Nacional Educacion, C/Juan del Rosal, 16 Despacho-U Madrid, Madrid, 28040, Spain

    Luis Manuel Sarro

  2. , Observatoire de Genève, Université de Genève, 51 Chemin des Maillettes, Sauverny, 1290, Switzerland

    Laurent Eyer

  3. European Space Astronomy Centre, P.O. Box, 78, Villanueva de la Cañada, Madrid, E-28691, Spain

    William O'Mullane

  4. , Instituut voor Sterrenkunde, Katholieke Universiteit Leuven, Celestijnenlaan 200D, Leuven, 3001, Belgium

    Joris De Ridder

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© 2012 Springer Science+Business Media New York

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Partl, A.M., the MultiDark Database Collaboration. (2012). Data Mining of the MultiDark Simulation. In: Sarro, L., Eyer, L., O'Mullane, W., De Ridder, J. (eds) Astrostatistics and Data Mining. Springer Series in Astrostatistics, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3323-1_21

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