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|Title:||Bayesian analysis and naturalness of (next-to-)minimal supersymmetric models|
|Citation:||Journal of High Energy Physics, 2017; 2017(10):160-1-160-42|
|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.|
|Rights:||Open Access, © The Authors 2017. Article funded by SCOAP³.|
|Appears in Collections:||Physics publications|
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