250 citations · 599 across the 21 of their papers we have counts for
11 papers · 1 filter
Reconstruction of atmospheric neutrinos in DUNE's horizontal-drift far-detector module
DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1343
This paper reports on the capabilities in reconstructing and identifying atmospheric neutrino interactions in one of the Deep Underground Neutrino Experiment's (DUNE) far detector…
Measurement of Exclusive --argon Interactions Using ProtoDUNE-SP
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1323
We present the measurement of --argon inelastic cross sections using the ProtoDUNE Single-Phase liquid argon time projection chamber in the incident kinetic energy ran…
Neutrino Interaction Vertex Reconstruction in DUNE with Pandora Deep Learning
DUNE Collaboration, A. Abed Abud, R. Acciarri +1331
The Pandora Software Development Kit and algorithm libraries perform reconstruction of neutrino interactions in liquid argon time projection chamber detectors. Pandora is the prima…
First Measurement of the Total Inelastic Cross-Section of Positively-Charged Kaons on Argon at Energies Between 5.0 and 7.5 GeV
DUNE Collaboration, A. Abed Abud, B. Abi +1360
ProtoDUNE Single-Phase (ProtoDUNE-SP) is a 770-ton liquid argon time projection chamber that operated in a hadron test beam at the CERN Neutrino Platform in 2018. We present a meas…
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…
The Future of High Energy Physics Software and Computing
V. Daniel Elvira, Steven Gottlieb, Oliver Gutsche +25
Software and Computing (S&C) are essential to all High Energy Physics (HEP) experiments and many theoretical studies. The size and complexity of S&C are now commensurate with that…
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector
DUNE Collaboration, A. Abed Abud, B. Abi +1253
Measurements of electrons from interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyo…
Experiment Simulation Configurations Approximating DUNE TDR
DUNE Collaboration, B. Abi, R. Acciarri +966
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment consisting of a high-power, broadband neutrino beam, a highly cap…
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…
Measurement of cosmic-ray reconstruction efficiencies in the MicroBooNE LArTPC using a small external cosmic-ray counter
MicroBooNE collaboration, R. Acciarri, C. Adams +148
The MicroBooNE detector is a liquid argon time projection chamber at Fermilab designed to study short-baseline neutrino oscillations and neutrino-argon interaction cross-section. D…