Alleviating the window problem in large volume renormalization schemes
Piotr Korcyl

TL;DR
This paper introduces a new strategy for large volume non-perturbative renormalization that reduces cut-off effects, enabling more accurate calculations at higher energy scales on coarse lattices.
Contribution
The authors propose a novel approach to mitigate the window problem in large volume renormalization schemes, demonstrated through a position space scheme on CLS ensembles.
Findings
Results are largely independent of the lattice direction used for renormalization.
Short lattice distances are accessible even on coarse lattices.
Renormalization constants are translated to the $ar{MS}$ scheme at 1.5 GeV.
Abstract
We propose a strategy for large volume non-perturbative renormalization which alleviates the window problem by reducing cut-off effects. We perform a proof-of-concept study using position space renormalization scheme and the CLS ensembles generated at 5 different lattice spacings. We show that in the advocated strategy results for the renormalization constants are to a large extend independent of the specific lattice direction used to define the renormalization condition. Hence, very short lattice distances become accessible even on coarse lattices and the contact with perturbation theory can be performed at much higher energy scales. Our results include non-perturbatively estimated renormalization constants for quark bilinear operators in the scalar, pseudoscalar and axial-vector channels using position space renormalization scheme which we subsequently translate to the…
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Taxonomy
TopicsAdvanced Data Storage Technologies
