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Showing 1 to 1 of 1 for “"High-energy physic"”.

  1. DEEP LEARNING APPLICATIONS TO PARTICLE PHYSICS: FROM MONTE CARLO SIMULATION ACCELERATION TO PROTODUNE RECONSTRUCTION

    … of deep learning applications to particle physics. The dissertation follows two main parallel streams: the development of hardware-accelerated tools for event simulation in high-energy collider physics, and the optimization of deep learning models for reconstruction algorithms at neutrino …

    milano Repository record for DEEP LEARNING APPLICATIONS TO PARTICLE PHYSICS: FROM MONTE CARLO SIMULATION ACCELERATION TO PROTODUNE RECONSTRUCTION (opens in a new tab)