Discovery potential of the next-to-minimal supergravity-motivated model
Csaba Balazs, Daniel Carter

TL;DR
This paper analyzes the parameter space of the next-to-minimal supergravity model, identifying regions compatible with current experimental data and exploring their detectability with future collider and dark matter experiments, contingent on the muon magnetic moment discrepancy persisting.
Contribution
It provides a likelihood-based analysis of the model's parameter space and assesses future detection prospects considering ongoing experimental anomalies.
Findings
Preferred parameter regions align with current experimental constraints.
Detection is feasible with LHC and upgraded dark matter searches if muon g-2 discrepancy remains.
Future experiments could confirm or exclude key regions of the model.
Abstract
Applying a likelihood analysis to the next-to-minimal supergravity-motivated model, we identify parameter space regions preferred by present experimental limits from collider, astrophysical, and low energy measurements. We then show that favored regions are amenable to detection by a combination of the CERN Large Hadron Collider and an upgraded Cryogenic Dark Matter Search, provided that the more than three sigma discrepancy in the difference of the experimental and the standard theoretical values of the anomalous magnetic moment of the muon prevails in the future.
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