3 papers
hep-ph2026
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…
hep-ph2026
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…
hep-ph2024
Revisiting gauge invariance and Reggeization of pion exchange
Gloria Montana, Daniel Winney, Lukasz Bibrzycki +10
The Reggeized pion is expected to provide the main contribution to the forward cross section in light meson photoproduction reactions with charge exchange at high energies. We disc…