Authors:	Hudspith, R. J. Mohler, D.
Title:	Fully nonperturbative charm-quark tuning using machine learning
Online publication date:	3-May-2023
Year of first publication:	2022
Language:	english
Abstract:	We present a relativistic heavy-quark action tuning for the charm sector on ensembles generated by the Coordinated Lattice Simulations consortium. We tune a particular five-parameter action in an entirely nonperturbative 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.
DDC:	530 Physik 530 Physics
Institution:	Johannes Gutenberg-Universität Mainz
Department:	FB 08 Physik, Mathematik u. Informatik
Place:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-8891
Version:	Published version
Publication type:	Zeitschriftenaufsatz
Document type specification:	Scientific article
License:	CC BY
Information on rights of use:	https://creativecommons.org/licenses/by/4.0/
Journal:	Physical review D 106
Pages or article number:	034508
Publisher:	American Institute of Physics
Publisher place:	Melville, NY
Issue date:	2022
ISSN:	2470-0029
Publisher DOI:	10.1103/physrevd.106.034508
Appears in collections:	DFG-491381577-H