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Dark Energy Studies: Challenges to Computational Cosmology

Authors :
Annis, James
Castander, Francisco J.
Evrard, August E.
Frieman, Joshua A.
Gaztanaga, Enrique
Jain, Bhuvnesh
Kravtsov, Andrey V.
Lahav, Ofer
Lin, Huan
Mohr, Joseph
Ricker, Paul M.
Stebbins, Albert
Risa Wechsler
Weinberg, David H.
Weller, Jochen
Source :
NASA Astrophysics Data System, INSPIRE-HEP
Publication Year :
2005
Publisher :
arXiv, 2005.

Abstract

The ability to test the nature of dark mass-energy components in the universe through large-scale structure studies hinges on accurate predictions of sky survey expectations within a given world model. Numerical simulations predict key survey signatures with varying degrees of confidence, limited mainly by the complex astrophysics of galaxy formation. As surveys grow in size and scale, systematic uncertainties in theoretical modeling can become dominant. Dark energy studies will challenge the computational cosmology community to critically assess current techniques, develop new approaches to maximize accuracy, and establish new tools and practices to efficiently employ globally networked computing resources.<br />Comment: 5 pages, theory white paper submitted to the Dark Energy Task Force

Details

Database :
OpenAIRE
Journal :
NASA Astrophysics Data System, INSPIRE-HEP
Accession number :
edsair.doi.dedup.....e93684e30ecae2d894a45572b233a302
Full Text :
https://doi.org/10.48550/arxiv.astro-ph/0510194