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Examining the evidence for dynamical dark energy

We apply a new nonparametric Bayesian method for reconstructing the evolution history of the equation of state w of dark energy, based on applying a correlated prior for w(z), to a collection of cosmological data. We combine the latest supernova (SNLS 3 year or Union 2.1), cosmic microwave backgroun...

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Published in:Physical review letters 2012-10, Vol.109 (17), p.171301-171301, Article 171301
Main Authors: Zhao, Gong-Bo, Crittenden, Robert G, Pogosian, Levon, Zhang, Xinmin
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Language:English
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container_end_page 171301
container_issue 17
container_start_page 171301
container_title Physical review letters
container_volume 109
creator Zhao, Gong-Bo
Crittenden, Robert G
Pogosian, Levon
Zhang, Xinmin
description We apply a new nonparametric Bayesian method for reconstructing the evolution history of the equation of state w of dark energy, based on applying a correlated prior for w(z), to a collection of cosmological data. We combine the latest supernova (SNLS 3 year or Union 2.1), cosmic microwave background, redshift space distortion, and the baryonic acoustic oscillation measurements (including BOSS, WiggleZ, and 6dF) and find that the cosmological constant appears consistent with current data, but that a dynamical dark energy model which evolves from w-1 at higher redshift is mildly favored. Estimates of the Bayesian evidence show little preference between the cosmological constant model and the dynamical model for a range of correlated prior choices. Looking towards future data, we find that the best fit models for current data could be well distinguished from the ΛCDM model by observations such as Planck and Euclid-like surveys.
doi_str_mv 10.1103/PhysRevLett.109.171301
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title Examining the evidence for dynamical dark energy
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