4 papers · 1 filter
S-matrix informed neural networks for amplitude analysis
Wyatt A. Smith, Arkaitz Rodas, Marius D. Thomas +5
Reconstructing scattering amplitudes from finite, noisy, and mutually inconsistent measurements is an ill-posed inverse problem common to many reactions relevant to particle physic…
Neuro-dispersive extractions of light-meson resonances
Wyatt A. Smith, Arkaitz Rodas, Marius D. Thomas +5
We present the first dispersive extraction of resonant poles from analytically continued neural networks. We use S-matrix informed neural networks (SINNs) trained to respect unitar…
First steps towards gauge-independent vortex identification through machine learning
Wyatt A. Smith, César Fernández-Ramírez, Jeff Greensite +1
As a first step towards machine identification of confining objects in thermalized lattice gauge configurations, we present our 2dVoId model for center vortex identification on pur…
as a precision test of a new four flavor Domain Wall Fermion action
Renwick J. Hudspith, Nicolas Garron, Zack Hall +12
We present a new set of lattice QCD ensembles with four flavors of smeared Möbius Domain Wall Fermions with good chiral symmetry and small fifth-dimensional extent. A modest amount…