A fully non-perturbative charm-quark tuning using machine learning
High Energy Physics - Lattice
2022-08-31 v1
Abstract
We present a relativistic heavy-quark action tuning for the charm sector on ensembles generated by the CLS consortium. We tune a particular 5-parameter action in an entirely non-perturbative and -- up to the chosen experimental input -- model-independent way using machine learning and the continuum experimental charmonium ground-state masses with various quantum numbers. In the end we are reasonably successful; obtaining a set of simulation parameters that we then verify produces the expected spectrum. In the future, we will use this action for finite-volume calculations of hadron-hadron scattering.
Cite
@article{arxiv.2112.01997,
title = {A fully non-perturbative charm-quark tuning using machine learning},
author = {R. J. Hudspith and D. Mohler},
journal= {arXiv preprint arXiv:2112.01997},
year = {2022}
}
Comments
22 pages, 7 figures