4 papers
Reinforcement Learning techniques for the flavor problem in particle physics
A. Giarnetti, D. Meloni
This short review discusses recent applications of Reinforcement Learning (RL) techniques to the flavor problem in particle physics. Traditional approaches to fermion masses and mi…
Classification of Electron and Muon Neutrino Events for the ESSSB Near Water Cherenkov Detector using Graph Neural Networks
J. Aguilar, M. Anastasopoulos, D. Barčot +94
In the effort to obtain a precise measurement of leptonic CP-violation with the ESSSB experiment, accurate and fast reconstruction of detector events plays a pivotal role. In th…
Probing Long-Range Forces in Neutrino Oscillations at the ESSnuSB Experiment
ESSnuSB, :, J. Aguilar +97
Neutrino oscillations constitute an excellent tool to probe physics beyond the Standard Model. In this paper, we investigate the potential of the ESSnuSB experiment to constrain th…
On the Role of the Appearance in DUNE in Constraining Standard Neutrino Physics and Beyond
Anish Ghoshal, Alessio Giarnetti, Davide Meloni
We consider the appearance channel in the future Deep Underground Neutrino Experiment (DUNE) which offers a good statistics of the sample. In order to measure it…