Neural networks parametrize gauge-invariant interpolators that extract ground-state Wilson loops with improved signal-to-noise ratio compared to traditional methods while preserving gauge invariance.
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1-loop lattice PT improvement of Wilson loops enhances precision in extracting α_s from the static energy using TUMQCD (2+1)-flavor lattice data.
The FLAG 2024 review provides updated averages of lattice QCD determinations for quark masses, decay constants, form factors, mixing parameters, and nucleon matrix elements.
citing papers explorer
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Wilson loops with neural networks
Neural networks parametrize gauge-invariant interpolators that extract ground-state Wilson loops with improved signal-to-noise ratio compared to traditional methods while preserving gauge invariance.
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Strong coupling constant from the 1-loop improved static energy
1-loop lattice PT improvement of Wilson loops enhances precision in extracting α_s from the static energy using TUMQCD (2+1)-flavor lattice data.
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FLAG Review 2024
The FLAG 2024 review provides updated averages of lattice QCD determinations for quark masses, decay constants, form factors, mixing parameters, and nucleon matrix elements.