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Galaxies 2016, 4(4), 53; doi:10.3390/galaxies4040053

Approximate Methods for the Generation of Dark Matter Halo Catalogs in the Age of Precision Cosmology

1
Dipartimento di Fisica, Università di Trieste, via Tiepolo 11, 34143 Trieste, Italy
2
INAF-Osservatorio Astronomico di Trieste, via Tiepolo 11, 34143 Trieste, Italy
3
INFN, Sezione di Trieste, 34149 Trieste, Italy
Academic Editors: Jose Gaite and Antonaldo Diaferio
Received: 24 May 2016 / Revised: 6 October 2016 / Accepted: 13 October 2016 / Published: 27 October 2016
(This article belongs to the Special Issue Dark Matter: Large versus Small Scale Structures)
View Full-Text   |   Download PDF [20060 KB, uploaded 27 October 2016]   |  

Abstract

Precision cosmology has recently triggered new attention on the topic of approximate methods for the clustering of matter on large scales, whose foundations date back to the period from the late 1960s to early 1990s. Indeed, although the prospect of reaching sub-percent accuracy in the measurement of clustering poses a challenge even to full N-body simulations, an accurate estimation of the covariance matrix of clustering statistics, not to mention the sampling of parameter space, requires usage of a large number (hundreds in the most favourable cases) of simulated (mock) galaxy catalogs. Combination of few N-body simulations with a large number of realizations performed with approximate methods gives the most promising approach to solve these problems with a reasonable amount of resources. In this paper I review this topic, starting from the foundations of the methods, then going through the pioneering efforts of the 1990s, and finally presenting the latest extensions and a few codes that are now being used in present-generation surveys and thoroughly tested to assess their performance in the context of future surveys. View Full-Text
Keywords: cosmology; dark matter halos; large-scale structure of the Universe; N-body simulations cosmology; dark matter halos; large-scale structure of the Universe; N-body simulations
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Monaco, P. Approximate Methods for the Generation of Dark Matter Halo Catalogs in the Age of Precision Cosmology. Galaxies 2016, 4, 53.

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