A Bayesian Analysis of the Constrained NMSSM

TL;DR

This paper uses Bayesian methods to explore the Constrained NMSSM, revealing that its global features closely resemble those of the Constrained MSSM and discussing implications for collider and dark matter detection.

Contribution

It provides the first comprehensive Bayesian analysis of the Constrained NMSSM, highlighting its similarities to the Constrained MSSM and exploring key phenomenological implications.

Findings

Model features resemble the Constrained MSSM

Decoupling limit is strongly preferred

Implications for collider signatures and dark matter detection

Abstract

We perform a first global exploration of the Constrained Next-to-Minimal Supersymmetric Standard Model using Bayesian statistics. We derive several global features of the model and find that, in some contrast to initial expectations, they closely resemble the Constrained MSSM. This remains true even away from the decoupling limit which is nevertheless strongly preferred. We present ensuing implications for several key observables, including collider signatures and predictions for direct detection of dark matter.