Simulations of the Local Universe

Stefan Gottlöber (), Anatoly Klypin (), Andrey Kravtsov, Yehuda Hoffman and Andreas Faltenbacher
Additional contact information
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

A chapter in High Performance Computing in Science and Engineering, Munich 2002, 2003, pp 399-409 from Springer

Abstract: 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.

Keywords: Dark Matter; Local Group; Cold Dark Matter; Galaxy Cluster; Dwarf Galaxy (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55526-8_32

Ordering information: This item can be ordered from
http://www.springer.com/9783642555268

DOI: 10.1007/978-3-642-55526-8_32

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().