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Bayesian analysis and naturalness of (Next-to-)Minimal Supersymmetric Models
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
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Number of Authors: 6
2017 (English)In: Journal of High Energy Physics (JHEP), ISSN 1126-6708, E-ISSN 1029-8479, no 10, 160Article in journal (Refereed) Published
Abstract [en]

The Higgs boson discovery stirred interest in next-to-minimal supersymmetric models, due to the apparent fine-tuning required to accommodate it in minimal theories. To assess their naturalness, we compare fine-tuning in a Z(3) conserving semi-constrained Next-to-Minimal Supersymmetric Standard Model (NMSSM) to the constrained MSSM (CMSSM). We contrast popular fine-tuning measures with naturalness priors, which automatically appear in statistical measures of the plausibility that a given model reproduces the weak scale. Our comparison shows that naturalness priors provide valuable insight into the hierarchy problem and rigorously ground naturalness in Bayesian statistics. For the CMSSM and semi-constrained NMSSM we demonstrate qualitative agreement between naturalness priors and popular fine tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners.

Place, publisher, year, edition, pages
2017. no 10, 160
Keyword [en]
Supersymmetry Phenomenology
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:su:diva-149844DOI: 10.1007/JHEP10(2017)160ISI: 000414810300001OAI: oai:DiVA.org:su-149844DiVA: diva2:1165086
Available from: 2017-12-12 Created: 2017-12-12 Last updated: 2017-12-12Bibliographically approved

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Farmer, Benjamin
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