Bayesian analysis of inflation. III. Slow roll reconstruction using model selection

JORGE IVAN NOREÑA SANCHEZ, Christian Wagner, Licia Verde, Hiranya V. Peiris, Richard Easther

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

We implement slow roll reconstruction-an optimal solution to the inverse problem for inflationary cosmology-within ModeCode, a publicly available solver for the inflationary dynamics. We obtain up-to-date constraints on the reconstructed inflationary potential, derived from the WMAP 7year data set and South Pole Telescope observations, combined with large scale structure data derived from SDSS Data Release 7. Using ModeCode in conjunction with the MultiNest sampler, we compute Bayesian evidence for the reconstructed potential at each order in the truncated slow roll hierarchy. We find that the data are well-described by the first two slow roll parameters, μ and η, and that there is no need to include a nontrivial ξ parameter.

Original languageEnglish
Article number023505
JournalPhysical Review D - Particles, Fields, Gravitation and Cosmology
Volume86
Issue number2
DOIs
StatePublished - 3 Jul 2012

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