Aug 8 – 13, 2022
Hörsaalzentrum Poppelsdorf
Europe/Berlin timezone

Non-perturbative heavy quark action tuning using machine learning

Aug 11, 2022, 12:10 PM
20m
CP1-HSZ/Ground-0.010 - HS2 (CP1-HSZ)

CP1-HSZ/Ground-0.010 - HS2

CP1-HSZ

450
Oral Presentation Hadron Spectroscopy and Interactions Hadron Spectroscopy and Interactions

Speaker

Renwick Hudspith (GSI Darmstadt)

Description

We present a fully non-perturbative determination of a relativistic heavy quark action's parameters on the CLS ensembles using neural networks, with a particular focus on the charm sector. We then further illustrate the applicability of such an approach for lattice NRQCD bottom quarks.

Primary author

Renwick Hudspith (GSI Darmstadt)

Co-author

Daniel Mohler (TU Darmstadt)

Presentation materials