17 citations · 65 across the 12 of their papers we have counts for
6 papers · 1 filter
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…
Measurement of Charged-Current Inclusive Production in the NOvA Near Detector
NOvA Collaboration
Cross sections for the interaction with neutrino energies between 1 and 5~GeV are measured using a sample of 165k selected events collected in the NOvA ex…
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…
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…
Electromagnetic Shower Reconstruction and Energy Validation with Michel Electrons and Samples for the Deep-Learning-Based Analyses in MicroBooNE
MicroBooNE collaboration, P. Abratenko, R. An +183
This article presents the reconstruction of the electromagnetic activity from electrons and photons (showers) used in the MicroBooNE deep learning-based low energy electron search.…