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20012021
most citedGPU-accelerated machine learning inference as a service for computing in neutrino experiments

26 citations · 54 across the 6 of their papers we have counts for

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physics.ins-det2021★ 4 cited

Optimizing the Hit Finding Algorithm for Liquid Argon TPC Neutrino Detectors Using Parallel Architectures

Sophie Berkman, Giuseppe Cerati, Kyle Knoepfel +5

Neutrinos are particles that interact rarely, so identifying them requires large detectors which produce lots of data. Processing this data with the computing power available is be…

physics.ins-det2021★ 11 cited

Extracting low energy signals from raw LArTPC waveforms using deep learning techniques -- A proof of concept

Lorenzo Uboldi, David Ruth, Michael Andrews +4

We investigate the feasibility of using deep learning techniques, in the form of a one-dimensional convolutional neural network (1D-CNN), for the extraction of signals from the raw…