Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/112626
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Type: Journal article
Title: Bayesian analysis and naturalness of (next-to-)minimal supersymmetric models
Author: Athron, P.
Balazs, C.
Farmer, B.
Fowlie, A.
Harries, D.
Kim, D.
Citation: Journal of High Energy Physics, 2017; 2017(10):160-1-160-42
Publisher: Springer
Issue Date: 2017
ISSN: 1126-6708
1029-8479
Statement of
Responsibility: 
Peter Athron, Csaba Balazs, Benjamin Farmer, Andrew Fowlie, Dylan Harries and Doyoun Kim
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.
Keywords: Supersymmetry phenomenology
Rights: Open Access, © The Authors 2017. Article funded by SCOAP³.
RMID: 0030078508
DOI: 10.1007/JHEP10(2017)160
Grant ID: http://purl.org/au-research/grants/arc/FT160100274
Appears in Collections:Physics publications

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