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Peer-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>: Blinding for data-driven hadronic vacuum polarization

A. Keshavarzi, Daisuke Nomura, T. Teubner, Aidan Wright

Physical review. D/Physical review. D. · 2025

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Summary

This Letter presents a blinding methodology for data-driven hadronic vacuum polarisation determinations used in Standard Model predictions of the muon's anomalous magnetic moment. The work addresses uncertainty in new physics interpretations arising from disagreements in HVP evaluations by implementing a blinding scheme within the KNTW analysis framework ahead of new experimental measurements and SM predictions expected in the near term.

UK applicability

This is fundamental physics research with no direct application to UK agricultural, soil, or nutritional systems. It may inform international particle physics policy and experimental design standards.

Key measures

Blinding scheme design for HVP data-driven determinations; Standard Model predictions of muon anomalous magnetic moment (aμ)

Outcomes reported

The paper describes and motivates a blinding scheme for data-driven hadronic vacuum polarisation (HVP) determinations that has been implemented for future KNTW analyses of the muon's anomalous magnetic moment.

Theme
Measurement & metrics
Subject
Other / interdisciplinary
Study type
Methodology
Study design
Methodology paper / Commentary
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Laboratory / in vitro
DOI
10.1103/physrevd.111.l011901
Catalogue ID
SNmotmrgcd-ul0wax

Topic tags

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