Bayesian analysis and naturalness of (next-to-)minimal supersymmetric models
Date
2017
Authors
Athron, P.
Balazs, C.
Farmer, B.
Fowlie, A.
Harries, D.
Kim, D.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Journal of High Energy Physics (JHEP), 2017; 2017(10):160-1-160-42
Statement of Responsibility
Peter Athron, Csaba Balazs, Benjamin Farmer, Andrew Fowlie, Dylan Harries and Doyoun Kim
Conference Name
Abstract
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 Z₃ 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 ne tuning measures. Thus, we give a clear plausibility argument that favours relatively light superpartners.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Open Access, © The Authors 2017. Article funded by SCOAP³.