Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Muon <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>g</mml:mi><mml:mo>−</mml:mo><mml:mn>2</mml:mn></mml:math> and lepton flavor violation in supersymmetric GUTs

M. E. Gómez, Smaragda Lola, Qaisar Shafi, Cem Salih Ün

Physical review. D/Physical review. D. · 2024

Read source ↗ All evidence

Summary

This theoretical physics paper presents a class of supersymmetric grand unified theory (GUT) models designed to reconcile the observed discrepancy between Standard Model predictions and experimental measurements of the muon's anomalous magnetic moment (g−2). The models simultaneously predict testable lepton flavour violation signatures and dark matter abundances consistent with Planck constraints, using SU(4)c × SU(2)L × SU(2)R unification frameworks. The work provides benchmarks correlating potential supersymmetry evidence across dark matter observations, rare decay processes, and Large Hadron Collider signatures.

UK applicability

This is fundamental theoretical physics research with no direct applicability to UK agricultural systems, soil health, farming practices, or food production. It falls outside the scope of Vitagri's Pulse Brain catalogue focus.

Key measures

Muon g−2 anomaly predictions; lepton flavour violation branching ratios in charged lepton decays; LSP neutralino dark matter abundance; LHC signal predictions

Outcomes reported

The study reports theoretical predictions from supersymmetric GUT models regarding muon g−2 discrepancies, lepton flavour violation signals, and dark matter abundance compatibility with Planck bounds. The models correlate potential supersymmetry manifestations across dark matter, rare lepton decays, and LHC signals.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Theoretical modelling
Source type
Peer-reviewed study
Status
Published
System type
Other
DOI
10.1103/physrevd.110.095003
Catalogue ID
SNmotmrgcd-gxdajn

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.