Publications (75)
Snowmass Neutrino Frontier: DUNE Physics Summary
DUNE Collaboration, A. Abed Abud, B. Abi +1240
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment with a primary physics goal of observing neutrino and antineutrin…
Search for an anomalous excess of charged-current quasi-elastic interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction
MicroBooNE collaboration, P. Abratenko, R. An +185
We present a measurement of the -interaction rate in the MicroBooNE detector that addresses the observed MiniBooNE anomalous low-energy excess (LEE). The approach taken isola…
Supernova Neutrino Burst Detection with the Deep Underground Neutrino Experiment
DUNE collaboration, B. Abi, R. Acciarri +967
The Deep Underground Neutrino Experiment (DUNE), a 40-kton underground liquid argon time projection chamber experiment, will be sensitive to the electron-neutrino flavor component…
Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC
DUNE Collaboration, A. Abed Abud, B. Abi +1175
The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. Th…
Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment
DUNE Collaboration, A. Abed Abud, B. Abi +1313
A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the MeV neutrinos produced by a Galactic core-collapse supernova if one s…
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…