Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-8891
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 |
Files in This Item:
File | Description | Size | Format | ||
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fully_nonperturbative_charmqu-20230307094703551.pdf | 510.76 kB | Adobe PDF | View/Open |