4 citations · 4 across the 2 of their papers we have counts for
4 papers
Physics at the Edge: Benchmarking Quantisation Techniques and the Edge TPU for Neutrino Interaction Recognition
Stefano Vergani, Hilary Utaegbulam, Michael Wang +3
This work presents a comprehensive benchmark of different quantisation techniques for convolutional neural networks applied to neutrino interaction recognition. Utilising simulatio…
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
Facilitating neutron and energy reconstruction in neutrino events using the direction of tagged neutrons
Steven Manly, Mitchell Lahare, Hilary Utaegbulam +1
To date, accelerator neutrino experiments have had only limited success including neutrons in the neutrino event reconstruction event by event. Produced neutrons often interact in…
Low-Energy Physics in Neutrino LArTPCs
D. Caratelli, W. Foreman, A. Friedland +285
In this white paper, we outline some of the scientific opportunities and challenges related to detection and reconstruction of low-energy (less than 100 MeV) signatures in liquid a…