PhysRevD.71.063532.pdf (96.22 kB)
Bayesian model selection and isocurvature perturbations
journal contribution
posted on 2023-06-08, 05:35 authored by María Beltrán, Juan García-Bellido, Julien Lesgourgues, Andrew R Liddle, Anz?e SlosarPresent 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.
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- Published
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- Published version
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Physical Review DISSN
0556-2821External DOI
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6Volume
71Page range
0635321-0635326Pages
6.0Department affiliated with
- Physics and Astronomy Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06First Open Access (FOA) Date
2016-03-22First Compliant Deposit (FCD) Date
2016-11-10Usage metrics
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