IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-55526-8_32.html
   My bibliography  Save this book chapter

Simulations of the Local Universe

In: High Performance Computing in Science and Engineering, Munich 2002

Author

Listed:
  • Stefan Gottlöber

    (Astrophysikalisches Institut Potsdam)

  • Anatoly Klypin

    (New Mexico State University, Astronomy Department)

  • Andrey Kravtsov

    (The University of Chicago, Dept. of Astronomy & Astrophysics, CfCP)

  • Yehuda Hoffman

    (Hebrew University, Racah Institute of Physics)

  • Andreas Faltenbacher

    (Astrophysikalisches Institut Potsdam)

Abstract

One of the greatest challenges of modern astrophysics is understanding how galaxies, such as our Milky Way, form within the framework of the Big Bang cosmology. The current theory of structure formation, the extension of the Big Bang model called the Cold Dark Matter (CDM) scenario, predicts that galaxies form within extended massive dark matter halos built from smaller pieces that collided and merged, resulting in the hierarchy of galaxies, groups, and clusters observed today. The entire sequence of events is thought to be seeded by quantum fluctuations in the very early Universe and governed by mysterious “dark matter” which constitutes about 85% of all matter in the universe. Although the accurate properties of galaxies depend on complicated baryonic processes (radiative cooling, formation and evolution of stars, etc.) operating on small scales, we expect that overall spatial distribution of “dark matter” halos is closely related to the observed galaxy distribution. Here we present numerical simulations designed to study the formation, evolution and present day properties of such dark matter halos in different cosmological environments.

Suggested Citation

  • Stefan Gottlöber & Anatoly Klypin & Andrey Kravtsov & Yehuda Hoffman & Andreas Faltenbacher, 2003. "Simulations of the Local Universe," Springer Books, in: Siegfried Wagner & Arndt Bode & Werner Hanke & Franz Durst (ed.), High Performance Computing in Science and Engineering, Munich 2002, pages 399-409, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55526-8_32
    DOI: 10.1007/978-3-642-55526-8_32
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-55526-8_32. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.