29 citations · 61 across the 6 of their papers we have counts for
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physics.ins-det2023
Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors
Roberto Moretti, Marco Rossi, Matteo Biassoni +6
The physics potential of massive liquid argon TPCs in the low-energy regime is still to be fully reaped because few-hits events encode information that can hardly be exploited by c…
hep-ph2023★ 3 cited
Deep Learning Applications to Particle Physics: from Monte Carlo simulation acceleration to ProtoDUNE reconstruction
Marco Rossi
The thesis arises in the context of deep learning applications to particle physics. The dissertation follows two main parallel streams: the development of hardware-accelerated tool…