Jul 3 – 8, 2016
The University of Melbourne
Australia/Melbourne timezone

Bayesian naturalness of Next-to-Minimal and Minimal Supersymmetric Models

Jul 5, 2016, 5:30 PM
Alice Hoy Room 225

Alice Hoy Room 225

Talk SUSY Models SUSY Models


Dr Andrew Fowlie (Monash University)


The discovery of a 125 GeV Higgs-like boson and null results in searches for new physics at the LHC have lead to renewed interest in next-to-minimal supersymmetric models and doubts about traditional measures of fine-tuning in supersymmetric models. We investigate fine-tuning in next-to-minimal and minimal supersymmetric models with Bayesian statistics by picking non-informative priors for superpotential and soft-breaking parameters (in contrast to informative priors for e.g., $M_Z$ and $\tan\beta$) which, we argue, underpin fine-tuning arguments in supersymmetric models. Furthermore, we contrast our Bayesian analyses with traditional fine-tuning measures based upon derivatives of the $Z$-boson mass, including high- and low-scale measures, highlighting deficiencies in traditional fine-tuning measures.

Primary authors

Dr Andrew Fowlie (Monash University) Dr Benjamin Farmer (Oskar Klein Centre) Csaba Balazs (Monash University) Doyoun Kim (Monash University) Dylan Harries (University of Adelaide) Peter Athron

Presentation materials