Journal
PHYSICAL REVIEW D
Volume 106, Issue 3, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.106.034508
Keywords
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Funding
- Heisenberg Programme of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [454605793]
- European Research Council (ERC) under the European Union [771971-SIMDAMA]
- IT Division at the GSI Helmholtzzentrum fuer Schwerionenforschung, Darmstadt, Germany (HPC cluster Virgo)
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This research presents a tuning method for a relativistic heavy-quark action using machine learning and experimental data, resulting in simulation parameters that can be used for calculations of hadron-hadron scattering.
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.
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