activity
20212026
most citedExtracting low energy signals from raw LArTPC waveforms using deep learning techniques -- A proof of concept

11 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

physics.ins-det2026

Physics at the Edge: Benchmarking Quantisation Techniques and the Edge TPU for Neutrino Interaction Recognition

Stefano Vergani, Hilary Utaegbulam, Michael Wang +4

This work presents a benchmark of quantisation techniques for convolutional neural networks applied to neutrino interaction recognition, motivated by the need for low-power inferen…

quant-ph2025★ 1 cited

Entangled-photon time- and frequency-resolved optical spectroscopy

Raul Alvarez-Mendoza, Lorenzo Uboldi, Ashley Lyons +3

Classical time-resolved optical spectroscopy experiments are performed using sequences of ultrashort light pulses, with photon fluxes incident on the sample which are many orders o…

quant-ph2023

Optical microcavities as platforms for entangled photon spectroscopy

Ravyn Malatesta, Lorenzo Uboldi, Evan J. Kumar +6

Optical microcavities are often proposed as platforms for spectroscopy in the single- and few-photon regime due to strong light-matter coupling. For classical-light spectroscopies,…

physics.optics2023★ 10 cited

Measurement principles for quantum spectroscopy of molecular materials with entangled photons

Luca Moretti, Esteban Rojas-Gatjens, Lorenzo Uboldi +8

Nonlinear spectroscopy with quantum entangled photons is an emerging field of research that holds the promise to achieve a superior signal-to-noise ratio and effectively isolate ma…

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…

physics.ins-det2021★ 9 cited

Coded masks for imaging of neutrino events

M. Andreotti, P. Bernardini, A. Bersani +76

The capture of scintillation light emitted by liquid Argon and Xenon under molecular excitations by charged particles is still a challenging task. Here we present a first attempt t…

physics.ins-det2021★ 8 cited

A deep-learning based raw waveform region-of-interest finder for the liquid argon time projection chamber

ArgoNeuT Collaboration, R. Acciarri, B. Baller +19

The liquid argon time projection chamber (LArTPC) detector technology has an excellent capability to measure properties of low-energy neutrinos produced by the sun and supernovae a…