Dark Energy Studies: Challenges to Computational Cosmology

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dc.creatorAnnis, James
dc.creatorCastander, Francisco J.
dc.creatorEvrard, August E.
dc.creatorFrieman, Joshua A.
dc.creatorGaztanaga, Enrique
dc.creatorJain, Bhuvnesh
dc.creatorKravtsov, Andrey V.
dc.creatorLahav, Ofer
dc.creatorLin, Huan
dc.creatorMohr, Joseph
dc.creatorRicker, Paul M.
dc.creatorStebbins, Albert
dc.creatorWechsler, Risa H.
dc.creatorWeinberg, David H.
dc.creatorWeller, Jochen
dc.date2005-10-06
dc.date.accessioned2026-07-07T06:43:45Z
dc.date.available2026-07-07T06:43:45Z
dc.descriptionThe 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.
dc.description5 pages, theory white paper submitted to the Dark Energy Task Force
dc.identifierhttps://arxiv.org/abs/astro-ph/0510194
dc.identifierhttp://arxiv.org/abs/astro-ph/0510194
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/102538
dc.subjectAstrophysics
dc.titleDark Energy Studies: Challenges to Computational Cosmology
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