5 citations · 12 across the 10 of their papers we have counts for
13 papers · 1 filter
A Bayesian approach to the long-baseline neutrino oscillation sensitivity of DUNE
DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1278
The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is evaluated using a Bayesian Markov Chain Monte Carlo (MCMC) approach. This analysis use…
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…
The DUNE Science Program
DUNE Collaboration, A. Abed Abud, R. Acciarri +1340
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase s…
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…
Measurement of the Multi-Neutron Charged Current Differential Cross Section at Low Available Energy on Hydrocarbon
A. Olivier, T. Cai, S. Akhter +58
Neutron production in antineutrino interactions can lead to bias in energy reconstruction in neutrino oscillation experiments, but these interactions have rarely been studied. MINE…
Data Storage for HEP Experiments in the Era of High-Performance Computing
Amit Bashyal, Peter Van Gemmeren, Saba Sehrish +3
As particle physics experiments push their limits on both the energy and the intensity frontiers, the amount and complexity of the produced data are also expected to increase accor…