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Bayesian naturalness, simplicity, and testability applied to the $B-L$ MSSM GUT

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arxiv 1708.07835 v2 pith:6XO72OMR submitted 2017-08-25 hep-ph hep-th

classification hep-phhep-th
keywords modelbayesiancomparisonfavoredgutsmssmnaturalnessapplied
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Recent years have seen increased use of Bayesian model comparison to quantify notions such as naturalness, simplicity, and testability, especially in the area of supersymmetric model building. After demonstrating that Bayesian model comparison can resolve a paradox that has been raised in the literature concerning the naturalness of the proton mass, we apply Bayesian model comparison to GUTs, an area to which it has not been applied before. We find that the GUTs are substantially favored over the non-unifying puzzle model. Of the GUTs we consider, the $B-L$ MSSM GUT is the most favored, but the MSSM GUT is almost equally favored.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Little hierarchies solve the little fine-tuning problem: a case study in supersymmetry with heavy guinos

    hep-ph 2019-08 conditional novelty 7.0 of 10

    A heavy gluino can push the physical stop mass above LHC bounds while the underlying stop mass parameter stays near the electroweak scale, solving the little fine-tuning problem when higher-order corrections are resummed.

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