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Applications of Bayesian model averaging to the curvature and size of the Universe

Abstract:

Bayesian model averaging is a procedure to obtain parameter constraints that account for the uncertainty about the correct cosmological model. We use recent cosmological observations and Bayesian model averaging to derive tight limits on the curvature parameter, as well as robust lower bounds on the curvature radius of the Universe and its minimum size, while allowing for the possibility of an evolving dark energy component. Because flat models are favoured by Bayesian model selection, we fin...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Astrophysics
Role:
Author
Journal:
Monthly Notices of the Royal Astronomical Society
Volume:
413
Issue:
1
Pages:
L91-L95
Publication date:
2011-05-01
DOI:
ISSN:
0035-8711
Source identifiers:
164127
Language:
English
Keywords:
Pubs id:
pubs:164127
UUID:
uuid:b0bea85d-0f77-409f-a4d6-3ea8fafc2206
Local pid:
pubs:164127
Deposit date:
2012-12-19

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