# A global fit of the MSSM with GAMBIT

## TL;DR

This paper performs a comprehensive global fit of the MSSM7 using GAMBIT, incorporating recent experimental data and advanced statistical methods to identify promising regions for future collider and dark matter detection.

## Contribution

It extends previous MSSM fits by including more experimental analyses, improved theoretical predictions, and novel sampling techniques at the weak scale.

## Key findings

- Identifies MSSM regions with neutralino co-annihilation and Higgs funnel resonances.
- Finds models with light superpartners accessible to the LHC.
- Highlights parameter regions detectable by future dark matter searches.

## Abstract

We study the seven-dimensional Minimal Supersymmetric Standard Model (MSSM7) with the new GAMBIT software framework, with all parameters defined at the weak scale. Our analysis significantly extends previous weak-scale, phenomenological MSSM fits, by adding more and newer experimental analyses, improving the accuracy and detail of theoretical predictions, including dominant uncertainties from the Standard Model, the Galactic dark matter halo and the quark content of the nucleon, and employing novel and highly-efficient statistical sampling methods to scan the parameter space. We find regions of the MSSM7 that exhibit co-annihilation of neutralinos with charginos, stops and sbottoms, as well as models that undergo resonant annihilation via both light and heavy Higgs funnels. We find high-likelihood models with light charginos, stops and sbottoms that have the potential to be within the future reach of the LHC. Large parts of our preferred parameter regions will also be accessible to the next generation of direct and indirect dark matter searches, making prospects for discovery in the near future rather good.