10 citations · 10 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
LArTPC hit-based topology classification with quantum machine learning and symmetry
Callum Duffy, Marcin Jastrzebski, Stefano Vergani +5
We present a new approach to separate track-like and shower-like topologies in liquid argon time projection chamber (LArTPC) experiments for neutrino physics using quantum machine…
Scalable DAQ system operating the CHIPS-5 neutrino detector
Belén Alonso Rancurel, Son Cao, Thomas J. Carroll +57
The CHIPS R&D project focuses on development of low-cost water Cherenkov neutrino detectors through novel design strategies and resourceful engineering. This work presents an end-t…
The Design and Construction of the Chips Water Cherenkov Neutrino Detector
B. Alonso Rancurel, N. Angelides, G. Augustoni +64
CHIPS (CHerenkov detectors In mine PitS) was a prototype large-scale water Cherenkov detector located in northern Minnesota. The main aim of the R&D project was to demonstrate that…
Measuring the Attenuation Length of Water in the CHIPS-M Water Cherenkov Detector
F. Amat, P. Bizouard, J. Bryant +18
The water at the proposed site of the CHIPS water Cherenkov detector has been studied to measure its attenuation length for Cherenkov light as a function of filtering time. A scale…