What Fermilab $(g-2)_{\mu}$ experiment tells us about discovering SUSY at HL-LHC and HE-LHC

TL;DR

This paper uses neural networks to analyze supersymmetric models consistent with muon g-2 data, suggesting that if SUSY accounts for the anomaly, it could be discovered at future colliders like HL-LHC and HE-LHC.

Contribution

It introduces an AI-driven analysis of supergravity models aligned with muon g-2 results, highlighting the potential for SUSY discovery at upcoming collider experiments.

Findings

Favored parameter space involves gluino-driven electroweak symmetry breaking.

Predicts a split sparticle spectrum with light sleptons and heavy squarks.

SUSY could be discovered at HL-LHC and HE-LHC through slepton production.

Abstract

Using an artificial neutral network we explore the parameter space of supergravity grand unified models consistent with the combined Fermilab E989 and Brookhaven E821 data on $(g-2)_\mu$. The analysis indicates that the region favored by the data is the one generated by gluino-driven radiative breaking of the electroweak symmetry. This region naturally leads to a split sparticle spectrum with light sleptons and weakinos but heavy squarks, with the stau and the chargino as the lightest charged particles. We show that if the entire deviation from the standard model $(g-2)_{\mu}$ arises from supersymmetry, then supersymmetry is discoverable at HL-LHC and HE-LHC via production and decay of sleptons within the optimal integrated luminosity of HL-LHC and with a smaller integrated luminosity at HE-LHC.