Bayesian model selection and isocurvature perturbations

Beltr'an, M., Garc'ia-Bellido, J., Lesgourgues, J., Liddle, A. R. and Slosar, A. (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 dataset 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 favours 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
Subjects: Q Science > QB Astronomy
Depositing User: SRO Admin
Date Deposited: 03 Apr 2007
Last Modified: 13 Mar 2017 20:52

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