A precise $\alpha_s$ determination from the R-improved QCD Static Energy

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Authors: Jose M. Mena-Valle, Vicent Mateu, Pablo G. Ortega
Cited by: 0
References: 111

Abstract

A bstract The strong coupling α s is determined with high precision from fits to lattice QCD simulations on the static energy. Our theoretical setup relies on R-improving the three-loop fixed-order prediction for the static energy by removing its u = 1/2 renormalon and summing up the associated large (infrared) logarithms which, in combination with radius-dependent renormalization scales (called profile functions) extends the validity of perturbation theory to distances up to ~ 0.5 fm. Furthermore, we resum large ultrasoft logarithms to N 3 LL accuracy using renormalization group evolution. We have checked that the standard four-loop R-evolution treats N 4 LL and higher remnants in a non-symmetric way, hence we also account for this potential bias. Our estimate of the perturbative uncertainty is based on a random scan over the parameters specifying the profile functions and the treatment of R-evolution. We also devise a method to statistically combine into a single dataset results from independent simulations which use different lattice spacing and cover various ranges, which can be used to carry out fits in a much faster way. We explore the dependence of the extracted α s value on the smallest and largest distances included in the dataset, on how R-evolution is treated, on how the fit is performed, and on the accuracy of ultrasoft resummation. From our final analysis, after evolving to the Z -pole we obtain $$ {\alpha}_s^{\left({n}_f=5\right)}\left({m}_Z\right)=0.1170\pm 0.0009 $$ α s n f = 5 m Z = 0.1170 ± 0.0009 , compatible with the world average with the same incertitude.

Fields of Study & Subjects

Particle physics theoretical and experimental studies Quantum Chromodynamics and Particle Interactions Computational Physics and Python Applications

Publication details

Journal / source
Journal of High Energy Physics
Publisher
Springer Science and Business Media LLC
Volume
2026
Issue
6
Pages
238–238
Publication date
14 January 2026
Language
EN