Gluino-SUGRA scenarios in light of FNAL muon g-2 anomaly
Zhuang Li, Guo-Li Liu, Fei Wang, Jin Min Yang, Yang Zhang

TL;DR
This paper explores Gluino-SUGRA models with heavy gluinos to explain the muon g-2 anomaly while satisfying LHC and dark matter constraints, proposing new gaugino hierarchy generation methods and analyzing their implications.
Contribution
It introduces novel mechanisms for generating large gaugino hierarchies in Gluino-SUGRA models and examines their compatibility with recent muon g-2 and LHC results.
Findings
Gluino-SUGRA can explain muon g-2 at 1σ with specific gaugino mass ratios.
Models with certain gaugino hierarchies remain consistent with LHC constraints.
Some parameter points allow low electroweak fine-tuning despite heavy gluinos.
Abstract
Gluino-SUGRA (SUGRA), which is an economical extension of the predictive mSUGRA, adopts much heavier gluino mass parameter than other gauginos mass parameters and universal scalar mass parameter at the unification scale. It can elegantly reconcile the experimental results on the Higgs boson mass, the muon , the null results in search for supersymmetry at the LHC and the results from B-physics. In this work, we propose several new ways to generate large gaugino hierarchy (i.e. ) for SUGRA model building and then discuss in detail the implications of the new muon results with the updated LHC constraints on such SUGRA scenarios. We obtain the following observations: (i) For the most interesting case at the GUT scale with a viable bino-like dark matter, the SUGRA can explain the muon anomaly at …
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