5 papers
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 determination of vector and tensor couplings from polarized photoproduction
Vanamali Shastry, Åukasz Bibrzycki, Vincent Mathieu +7
The couplings between hadrons encode the dynamics of quantum chromodynamics. While many couplings can be calculated from decay widths, in some cases the decays are kinematically fo…
First steps towards gauge-independent vortex identification through machine learning
Wyatt A. Smith, César Fernández-RamÃrez, 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…
Mechanisms of high energy polarized photoproduction of
Vanamali Shastry, Åukasz Bibrzycki, Vincent Mathieu +7
We present an amplitude analysis of high-energy polarized photoproduction of within a Regge exchange framework. A Regge amplitude model incorporating , , $b_1…