It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
We compute the QCD static force and potential using gradient flow at next-to-leading order in the strong coupling. The static force is the spatial derivative of the static potential: it encodes the QCD interaction at both short and long distances. While on the one side the static force has the advantage of being free of the O(ΛQCD) renormalon affecting the static potential when computed in perturbation theory, on the other side its direct lattice QCD computation suffers from poor convergence. The convergence can be improved by using gradient flow, where the gauge fields in the operator definition of a given quantity are replaced by flowed fields at flow time t, which effectively smear the gauge fields over a distance of order
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details

1 Technische Universität München, Physik Department, Garching, Germany (GRID:grid.6936.a) (ISNI:0000000123222966); Technische Universität München, Institute for Advanced Study, Garching, Germany (GRID:grid.6936.a) (ISNI:0000000123222966); Technische Universität München, Munich Data Science Institute, Garching, Germany (GRID:grid.6936.a) (ISNI:0000000123222966)
2 Technische Universität München, Physik Department, Garching, Germany (GRID:grid.6936.a) (ISNI:0000000123222966); Excellence Cluster ORIGINS, Garching, Germany (GRID:grid.510544.1)
3 Technische Universität München, Physik Department, Garching, Germany (GRID:grid.6936.a) (ISNI:0000000123222966)