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Cited by 494

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COLOSSUS: A Python Toolkit for Cosmology, Large-scale Structure, and Dark Matter Halos

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Diemer, Benedikt·2018·The Astrophysical Journal Supplement Series

Abstract

This paper introduces C olossus, a public, open-source python package for calculations related to cosmology, the large-scale structure (LSS) of matter in the universe, and the properties of dark matter halos. The code is designed to be fast and easy to use, with a coherent, well-documented user interface. The cosmology module implements Friedman–Lemaitre–Robertson–Walker cosmologies including curvature, relativistic species, and different dark energy equations of state, and provides fast computations of the linear matter power spectrum, variance, and correlation function. The LSS module is concerned with the properties of peaks in Gaussian random fields and halos in a statistical sense, including their peak height, peak curvature, halo bias, and mass function. The halo module deals with spherical overdensity radii and masses, density profiles, concentration, and the splashback radius. To facilitate the rapid exploration of these quantities, C olossus implements more than 40 different fitting functions from the literature. I discuss the core routines in detail, with particular emphasis on their accuracy. C olossus is available at bitbucket.org/bdiemer/colossus.

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Metadata

Authors
Diemer, B.
Venue
The Astrophysical Journal Supplement Series
Published
2018-12-01
Volume
239
Issue
2
Pages
35
ISSN
  • 0067-0049 (ISSN-L)
  • 1538-4365
OpenAlex
W2771573390
Cited by
494
References
100
FWCI
17.49
Type
journal article
Language
en
Open access
bronze

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Diemer, B. (2018). COLOSSUS: A Python Toolkit for Cosmology, Large-scale Structure, and Dark Matter Halos. The Astrophysical Journal Supplement Series. https://doi.org/10.3847/1538-4365/aaee8c

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