Bayesian naturalness of the CMSSM and CNMSSM

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dc.contributor.authorKim, D.
dc.contributor.authorAthron, P.
dc.contributor.authorBalázs, C.
dc.contributor.authorFarmer, B.
dc.contributor.authorHutchison, E.
dc.date.issued2014
dc.description.abstractThe recent discovery of the 125.5 GeV Higgs boson at the LHC has fueled interest in the next-tominimal supersymmetric standard model (NMSSM) as it may require less fine-tuning than the minimal model to accommodate such a heavy Higgs. To this end we present Bayesian naturalness priors to quantify fine-tuning in the (N)MSSM. These priors arise automatically as Occam razors in Bayesian model comparison and generalize the conventional Barbieri-Giudice measure. In this paper we show that the naturalness priors capture features of both the Barbieri-Giudice fine-tuning measure and a simple ratio measure that has been used in the literature. We also show that according to the naturalness prior the constrained version of the NMSSM is less tuned than the CMSSM.
dc.description.statementofresponsibilityDoyoun Kim, Peter Athron, Csaba Balázs, Benjamin Farmer, and Elliot Hutchison
dc.identifier.citationPhysical Review D: Particles, Fields, Gravitation and Cosmology, 2014; 90(5):055008-1-055008-8
dc.identifier.doi10.1103/PhysRevD.90.055008
dc.identifier.issn1550-7998
dc.identifier.issn1550-2368
dc.identifier.urihttp://hdl.handle.net/2440/95698
dc.language.isoen
dc.publisherAmerican Physical Society
dc.rights© 2014 American Physical Society
dc.source.urihttps://doi.org/10.1103/physrevd.90.055008
dc.titleBayesian naturalness of the CMSSM and CNMSSM
dc.typeJournal article
pubs.publication-statusPublished

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