"AI-Driven Reconstruction of Particle Paths Unlocks New Physics"

Scientists from the Institute of Nuclear Physics of the Polish Academy of Sciences propose using artificial intelligence (AI) to rapidly reconstruct particle tracks in high-energy physics experiments, such as the MUonE experiment, which aims to explore new physics. The AI, a deep neural network, was trained using simulated particle collisions and demonstrated the ability to reconstruct particle tracks as accurately as classical algorithms. If successful, this AI-based approach could significantly improve the precision of measurements and potentially lead to the discovery of new physics.