38 citations · 175 across the 24 of their papers we have counts for
5 papers · 1 filter
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…
Searching non-standard interactions with atmospheric neutrinos at ESSnuSB
ESSnuSB, :, J. Aguilar +91
Atmospheric neutrinos provide a unique avenue to study neutrino interactions in matter. In this work, the prospects of constraining non-standard neutrino interactions with atmosphe…
A Roadmap for neutrino charge assignments in Flavor Models: Implications for LFV processes and leptonic anomalous magnetic moments
A. Giarnetti, S. Marciano, D. Meloni +1
We build upon a simple model of flavor, in which all fermion masses and mixing hierarchies arise from powers of two small parameters controlling breaking. In the…
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…