6th Workshop on Future Directions in Spectroscopy Analysis (FDSA2025)

Machine Learning aided pole localization for the resonance $a_0(980)$ - status of the project.

11 Dec 2025, 09:30

30m

DAM 7.24 Room (Facultat de Física, Universitat de Barcelona)

Talks Machine Learning

Speaker

Łukasz Bibrzycki (AGH University of Krakow)

Description

Using several amplitude parametrizations like explicitly unitary amplitudes in the scattering length approximation and the separable potentials we describe the coupled channel $\pi\eta$, $K\overline{K}$ scattering in the vicinity of the $a_0(980)$ resonance.

Then we train the neural network to localize the poles corresponding to the $a_0(980)$ resonance across several decay reactions. We aim for a global analysis that evaluates the pole determinations by different experiments and checks the consistency of various model approaches. Status of this project will be presented.

Presentation materials

Machine Learning aided pole localization for the resonance a_0(980) - status of the project - Łukasz Bibrzycki.pdf