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Bayesian model selection and isocurvature perturbations

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posted on 2023-06-08, 05:35 authored by María Beltrán, Juan García-Bellido, Julien Lesgourgues, Andrew R Liddle, Anz?e Slosar
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.

History

Publication status

  • Published

File Version

  • Published version

Journal

Physical Review D

ISSN

0556-2821

Issue

6

Volume

71

Page range

0635321-0635326

Pages

6.0

Department affiliated with

  • Physics and Astronomy Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

First Open Access (FOA) Date

2016-03-22

First Compliant Deposit (FCD) Date

2016-11-10

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