Scale setting of SU() Yang--Mills theory, topology and large- volume independence
arXiv:2511.07355 · doi:10.1103/qtqt-hdpz
Abstract
We set the scale of SU() Yang--Mills theories for and in the large- limit via gradient flow, as a first step towards the computation of the large- -parameter using step scaling. We adopt twisted boundary conditions to achieve large- volume reduction and the Parallel Tempering on Boundary Conditions algorithm to tame topological freezing. This setup allows accurate determinations of the gradient-flow scales down to lattice spacings as fine as fm for all the explored values of , a regime that has never been reached with ergodic algorithms. Moreover, we are able to precisely estimate the finite-size systematics related to topological freezing, and to show the suppression of finite-volume effects expected by virtue of large- twisted volume reduction.
18 pages, 19 figures
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