6 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
Neutrino Characterisation using Convolutional Neural Networks in CHIPS water Cherenkov detectors
Josh Tingey, Simeon Bash, John Cesar +8
This work presents a novel approach to water Cherenkov neutrino detector event reconstruction and classification. Three forms of a Convolutional Neural Network have been trained to…
Low-latency NuMI Trigger for the CHIPS-5 Neutrino Detector
Petr Mánek, Simeon Bash, John Cesar +8
The CHIPS R&D project aims to develop affordable large-scale water Cherenkov neutrino detectors for underwater deployment. In 2019, a 5kt prototype detector CHIPS-5 was deployed in…