Bayesian model selection and isocurvature perturbations

Beltrán, María, García-Bellido, Juan, Lesgourgues, Julien, Liddle, Andrew R and Slosar, Anz̆e (2005) Bayesian model selection and isocurvature perturbations. Physical Review D, 71 (6). 0635321-0635326. ISSN 0556-2821

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Present cosmological data are well explained assuming purely adiabatic perturbations, but an admixture of isocurvature perturbations is also permitted. We use a Bayesian framework to compare the performance of cosmological models including isocurvature modes with the purely adiabatic case; this framework automatically and consistently penalizes models which use more parameters to fit the data. We compute the Bayesian evidence for fits to a data set comprised of WMAP and other microwave anisotropy data, the galaxy power spectrum from 2dFGRS and SDSS, and Type Ia supernovae luminosity distances. We find that Bayesian model selection favors the purely adiabatic models, but so far only at low significance.

Item Type: Article
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Depositing User: Andrew Liddle
Date Deposited: 06 Feb 2012 20:14
Last Modified: 06 Aug 2019 11:09

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