PoS - Proceedings of Science
Volume 430 - The 39th International Symposium on Lattice Field Theory (LATTICE2022) - Hadron Spectroscopy and Interactions
Non-perturbative heavy quark action tuning using machine learning
R.J. Hudspith* and D. Mohler
Full text: pdf
Pre-published on: January 30, 2023
Published on: April 06, 2023
We present a fully non-perturbative determination of a relativistic heavy quark action’s parameters
on the CLS $n_f=2+1$ Wilson-clover ensembles using neural networks. We then
further illustrate the applicability of such an approach for lattice NRQCD bottom quarks, and finally investigate some physics quantities under our tuning. In particular, we look at the excited spectrum of bottomonia, a popular $ud\bar{b}\bar{b}$ tetraquark candidate, and the not-yet observed bottom-strange cousins of the exotic $J^P=0^+$ $D_{s0}^*(2317)$ and $J^P=1^+$ $D_{s1}(2460)$ mesons.
DOI: https://doi.org/10.22323/1.430.0061
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