Muon $g$$-$$2$: blinding for data-driven hadronic vacuum polarization

TL;DR

This paper introduces a blinding scheme for data-driven hadronic vacuum polarization calculations, aiming to improve the reliability of Standard Model predictions of the muon's anomalous magnetic moment amidst existing uncertainties.

Contribution

It proposes and details a novel blinding method for HVP determinations to prevent bias in future analyses of the muon g-2.

Findings

The blinding scheme has been implemented in the KNTW analysis framework.

It aims to enhance the robustness of HVP evaluations against bias.

The approach prepares for upcoming experimental and theoretical updates.

Abstract

The KNT(W) data-driven determinations of the hadronic vacuum polarization (HVP) are crucial inputs to previous and future Standard Model (SM) predictions of the muon's anomalous magnetic moment, $a_\mu$. With the muon $g$$-$$2$'s new physics case uncertain due to disagreeing HVP evaluations, new SM predictions and experimental measurements of $a_\mu$ expected soon, and a complete revamp of the KNTW analysis framework underway, this letter motivates and describes a blinding scheme for data-driven HVP determinations that has been implemented for future KNTW analyses.