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Designing and testing inflationary models with Bayesian networks

Price, LC; Peiris, HV; Frazer, J; Easther, R; (2016) Designing and testing inflationary models with Bayesian networks. Journal Of Cosmology And Astroparticle Physics (2) , Article 049. 10.1088/1475-7516/2016/02/049. Green open access

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Abstract

Even simple inflationary scenarios have many free parameters. Beyond the variables appearing in the inflationary action, these include dynamical initial conditions, the number of fields, and couplings to other sectors. These quantities are often ignored but cosmological observables can depend on the unknown parameters. We use Bayesian networks to account for a large set of inflationary parameters, deriving generative models for the primordial spectra that are conditioned on a hierarchical set of prior probabilities describing the initial conditions, reheating physics, and other free parameters. We use Nf-quadratic inflation as an illustrative example, finding that the number of e-folds N* between horizon exit for the pivot scale and the end of inflation is typically the most important parameter, even when the number of fields, their masses and initial conditions are unknown, along with possible conditional dependencies between these parameters.

Type: Article
Title: Designing and testing inflationary models with Bayesian networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/1475-7516/2016/02/049
Publisher version: http://doi.org/10.1088/1475-7516/2016/02/049
Language: English
Additional information: Copyright © 2016 IOP Publishing Ltd and Sissa Medialab srl. All rights reserved. This is an author-created, un-copyedited version of an article accepted for publication/published in Journal Of Cosmology And Astroparticle Physics. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at 10.1088/1475-7516/2016/02/049
Keywords: Science & Technology, Physical Sciences, Astronomy & Astrophysics, Physics, Particles & Fields, Physics, Inflation, Physics Of The Early Universe, Particle Physics - Cosmology Connection, Cosmological Parameters From Cmbr, Cosmological Parameters, Constraints, Inference
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
URI: https://discovery.ucl.ac.uk/id/eprint/1478433
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