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Fingerprinting Dark Energy

Dark energy perturbations are normally either neglected or else included in a purely numerical way, obscuring their dependence on underlying parameters like the equation of state or the sound speed. However, while many different explanations for the dark energy can have the same equation of state, t...

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Autores principales: Sapone, Domenico, Kunz, Martin
Formato: info:eu-repo/semantics/article
Lenguaje:eng
Publicado: 2009
Materias:
Acceso en línea:http://cds.cern.ch/record/1204323
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author Sapone, Domenico
Kunz, Martin
author_facet Sapone, Domenico
Kunz, Martin
author_sort Sapone, Domenico
collection CERN
description Dark energy perturbations are normally either neglected or else included in a purely numerical way, obscuring their dependence on underlying parameters like the equation of state or the sound speed. However, while many different explanations for the dark energy can have the same equation of state, they usually differ in their perturbations so that these provide a fingerprint for distinguishing between different models with the same equation of state. In this paper we derive simple yet accurate approximations that are able to characterize a specific class of models (encompassing most scalar field models) which is often generically called "dark energy". We then use the approximate solutions to look at the impact of the dark energy perturbations on the dark matter power spectrum and on the integrated Sachs-Wolfe effect in the cosmic microwave background radiation.
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spelling cern-12043232019-09-30T06:29:59Z http://cds.cern.ch/record/1204323 eng Sapone, Domenico Kunz, Martin Fingerprinting Dark Energy astro-ph.CO Dark energy perturbations are normally either neglected or else included in a purely numerical way, obscuring their dependence on underlying parameters like the equation of state or the sound speed. However, while many different explanations for the dark energy can have the same equation of state, they usually differ in their perturbations so that these provide a fingerprint for distinguishing between different models with the same equation of state. In this paper we derive simple yet accurate approximations that are able to characterize a specific class of models (encompassing most scalar field models) which is often generically called "dark energy". We then use the approximate solutions to look at the impact of the dark energy perturbations on the dark matter power spectrum and on the integrated Sachs-Wolfe effect in the cosmic microwave background radiation. info:eu-repo/grantAgreement/EC/FP7/237920 info:eu-repo/semantics/openAccess Education Level info:eu-repo/semantics/article http://cds.cern.ch/record/1204323 2009-09-02
spellingShingle astro-ph.CO
Sapone, Domenico
Kunz, Martin
Fingerprinting Dark Energy
title Fingerprinting Dark Energy
title_full Fingerprinting Dark Energy
title_fullStr Fingerprinting Dark Energy
title_full_unstemmed Fingerprinting Dark Energy
title_short Fingerprinting Dark Energy
title_sort fingerprinting dark energy
topic astro-ph.CO
url http://cds.cern.ch/record/1204323
http://cds.cern.ch/record/1204323
work_keys_str_mv AT saponedomenico fingerprintingdarkenergy
AT kunzmartin fingerprintingdarkenergy