45 citations · 172 across the 15 of their papers we have counts for
4 papers · 1 filter
A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
MicroBooNE collaboration, P. Abratenko, M. Alrashed +184
We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the…
Long-baseline neutrino oscillation physics potential of the DUNE experiment
DUNE Collaboration, B. Abi, R. Acciarri +966
The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far…
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
DUNE Collaboration, B. Abi, R. Acciarri +968
The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure -violation in the neutrino sector as part of a wider physics…
Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume III: DUNE Far Detector Technical Coordination
B. Abi, R. Acciarri, Mario A. Acero +958
The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventuall…