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

Session

Machine Learning

11 Dec 2025, 09:30

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

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

Łukasz Bibrzycki (AGH University of Krakow)

11/12/2025, 09:30

Talks

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...

22. Learning the spectrum with Neural Quantum States

Javi Rozalén Sarmiento (Universitat de Barcelona)

11/12/2025, 10:00

Talks

The quantum many-body problem lies at the heart of a wide spectrum of physical phenomena, ranging from interacting quarks to molecular dynamics, yet it poses a great computational challenge that remains unsolved. Traditional approaches often face a trade-off between accuracy and tractability, due to an underlying issue commonly known as the “curse of dimensionality”. In this context, the...

17. A variational approach to quantum field theory

Mr Martí Rovira i Pons (Universitat de Barcelona | ICCUB)

11/12/2025, 10:30

Talks

In strongly coupled field theories, perturbation theory cannot be employed to study the low-energy spectrum. Thus, non-perturbative techniques are required. One possibility is the Lagrangian approach, where energies are extracted from the Euclidean-time dependence of correlation functions. This method suffers from excited-state contamination at shorter times and rapidly growing statistical...