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The leading disconnected contribution to the anomalous magnetic moment of the muon

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
abstract

The hadronic vacuum polarization can be determined from the vector correlator in a mixed time-momentum representation. We explicitly calculate the disconnected contribution to the vector correlator, both in the $N_f = 2$ theory and with an additional quenched strange quark, using non-perturbatively $O(a)$-improved Wilson fermions. All-to-all propagators are computed using stochastic sources and a generalized hopping parameter expansion. Combining the result with the dominant connected contribution, we are able to estimate an upper bound for the systematic error that arises from neglecting the disconnected contribution in the determination of $(g-2)_\mu$.

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years

2026 1 2025 1

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UNVERDICTED 2

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representative citing papers

Lepton anomalous magnetic moments: Theory

hep-ph · 2025-12-20 · unverdicted · novelty 2.0

The paper provides an overview of theoretical calculations for lepton anomalous magnetic moments arising from quantum corrections in the Standard Model.

Variance reduction strategies for lattice QCD

hep-lat · 2026-05-01 · unverdicted · novelty 2.0

Variance reduction schemes based on decompositions of quark propagators have proven useful for precision lattice QCD observables and may help reduce the computational cost of reaching large volumes.

citing papers explorer

Showing 2 of 2 citing papers.

  • Lepton anomalous magnetic moments: Theory hep-ph · 2025-12-20 · unverdicted · none · ref 180 · internal anchor

    The paper provides an overview of theoretical calculations for lepton anomalous magnetic moments arising from quantum corrections in the Standard Model.

  • Variance reduction strategies for lattice QCD hep-lat · 2026-05-01 · unverdicted · none · ref 46

    Variance reduction schemes based on decompositions of quark propagators have proven useful for precision lattice QCD observables and may help reduce the computational cost of reaching large volumes.