Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Oscar Agertz. Profile photo.

Oscar Agertz

Assistant Professor / Associate senior university lecturer / Wallenberg Academy Fellow

Oscar Agertz. Profile photo.

Discreteness effects in ACDM simulations : A wavelet-statistical view

Author

  • Alessandro B. Romeo
  • Oscar Agertz
  • Ben Moore
  • Joachim Stadel

Summary, in English

The effects of particle discreteness in N-body ACDM simulations are still an intensively debated issue. In this paper we explore such effects, taking into account the scatter caused by the randomness of the initial conditions and focusing on the statistical properties of the cosmological density field. For this purpose, we run large sets of ACDM simulations and analyze them using a wide variety of diagnostics, including new and powerful wavelet statistics. Among other facts, we point out (1) that dynamical evolution does not propagate discreteness noise up from the small scales at which it is introduced and (2) that one should aim to satisfy the condition ε ∼ 2d, where e is the force resolution and d is the inter-particle distance. We clarify what such a condition means and how to implement it in modern cosmological codes.

Publishing year

2008-10-10

Language

English

Pages

1-12

Publication/Series

Astrophysical Journal

Volume

686

Issue

1

Document type

Journal article

Publisher

American Astronomical Society

Keywords

  • Cosmology: Miscellaneous
  • Dark matter
  • Lale structure of universe
  • Methods: N-body simulations
  • Methods: Numerical
  • Methods: Statistical

Status

Published

ISBN/ISSN/Other

  • ISSN: 0004-637X