Computational Cosmology: from the Early Universe to the Large Scale Structure

In order to account for the observable Universe, any comprehensive theory or model of cosmology must draw from many disciplines of physics, including gauge theories of strong and weak interactions, the hydrodynamics and microphysics of baryonic matter, electromagnetic fields, and spacetime curvature...

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Main Author: Anninos Peter
Format: Article
Language:English
Published: SpringerOpen 2001-01-01
Series:Living Reviews in Relativity
Subjects:
Online Access:http://www.livingreviews.org/lrr-2001-2
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spelling doaj-3d1e3b6924664c5eb81548bc5956e3452020-11-25T01:03:50ZengSpringerOpenLiving Reviews in Relativity1433-83512001-01-0142Computational Cosmology: from the Early Universe to the Large Scale StructureAnninos PeterIn order to account for the observable Universe, any comprehensive theory or model of cosmology must draw from many disciplines of physics, including gauge theories of strong and weak interactions, the hydrodynamics and microphysics of baryonic matter, electromagnetic fields, and spacetime curvature, for example. Although it is difficult to incorporate all these physical elements into a single complete model of our Universe, advances in computing methods and technologies have contributed significantly towards our understanding of cosmological models, the Universe, and astrophysical processes within them. A sample of numerical calculations (and numerical methods) applied to specific issues in cosmology are reviewed in this article: from the Big Bang singularity dynamics to the fundamental interactions of gravitational waves; from the quark-hadron phase transition to the large scale structure of the Universe. The emphasis, although not exclusively, is on those calculations designed to test different models of cosmology against the observed Universe.http://www.livingreviews.org/lrr-2001-2Numerical Relativity
collection DOAJ
language English
format Article
sources DOAJ
author Anninos Peter
spellingShingle Anninos Peter
Computational Cosmology: from the Early Universe to the Large Scale Structure
Living Reviews in Relativity
Numerical Relativity
author_facet Anninos Peter
author_sort Anninos Peter
title Computational Cosmology: from the Early Universe to the Large Scale Structure
title_short Computational Cosmology: from the Early Universe to the Large Scale Structure
title_full Computational Cosmology: from the Early Universe to the Large Scale Structure
title_fullStr Computational Cosmology: from the Early Universe to the Large Scale Structure
title_full_unstemmed Computational Cosmology: from the Early Universe to the Large Scale Structure
title_sort computational cosmology: from the early universe to the large scale structure
publisher SpringerOpen
series Living Reviews in Relativity
issn 1433-8351
publishDate 2001-01-01
description In order to account for the observable Universe, any comprehensive theory or model of cosmology must draw from many disciplines of physics, including gauge theories of strong and weak interactions, the hydrodynamics and microphysics of baryonic matter, electromagnetic fields, and spacetime curvature, for example. Although it is difficult to incorporate all these physical elements into a single complete model of our Universe, advances in computing methods and technologies have contributed significantly towards our understanding of cosmological models, the Universe, and astrophysical processes within them. A sample of numerical calculations (and numerical methods) applied to specific issues in cosmology are reviewed in this article: from the Big Bang singularity dynamics to the fundamental interactions of gravitational waves; from the quark-hadron phase transition to the large scale structure of the Universe. The emphasis, although not exclusively, is on those calculations designed to test different models of cosmology against the observed Universe.
topic Numerical Relativity
url http://www.livingreviews.org/lrr-2001-2
work_keys_str_mv AT anninospeter computationalcosmologyfromtheearlyuniversetothelargescalestructure
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