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

Improved Evaluation of the Electroweak Contribution to Muon <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>g</mml:mi><mml:mo>−</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:math>

Martin Hoferichter, Jan Lüdtke, Luca Naterop, Massimiliano Procura, Peter Stoffer

Physical Review Letters · 2025

Read source ↗ All evidence

Summary

This theoretical physics study refines the calculation of the electroweak contribution to the muon's anomalous magnetic moment by incorporating recent advances in understanding hadronic light-by-light scattering and improved perturbative and nonperturbative treatments of charm quark contributions. The authors systematically control uncertainties across all Standard Model components, from Higgs physics to multiloop diagrams and light-quark effects, yielding a benchmark precision result of a_{μ}^{EW}=154.4(4)×10^{-11}.

UK applicability

This is fundamental theoretical physics with no direct applicability to UK farming systems, soil health, or agricultural practice. It may inform precision tests of particle physics relevant to UK-based high-energy physics laboratories, but falls outside Vitagri's core mission.

Key measures

Electroweak contribution to muon anomalous magnetic moment (a_{μ}^{EW}), expressed in units of 10^{-11}

Outcomes reported

The study presents a precise theoretical evaluation of the electroweak contribution to the anomalous magnetic moment of the muon, incorporating improved understanding of hadronic effects and charm contributions. The primary result is a_{μ}^{EW}=154.4(4)×10^{-11}, with controlled uncertainty.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Theoretical calculation
Source type
Peer-reviewed study
Status
Published
System type
Laboratory / in vitro
DOI
10.1103/physrevlett.134.201801
Catalogue ID
SNmotmrgcd-zszdw0

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.