Fully nonperturbative charm-quark tuning using machine learning
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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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Physical review D, 106, American Institute of Physics, Melville, NY, 2022, https://doi.org/10.1103/physrevd.106.034508