2 citations · 2 across the 6 of their papers we have counts for
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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…
Reconstruction of atmospheric neutrinos in DUNE's horizontal-drift far-detector module
DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1377
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…
Supernova Pointing Capabilities of DUNE
DUNE Collaboration, A. Abed Abud, B. Abi +1360
The determination of the direction of a stellar core collapse via its neutrino emission is crucial for the identification of the progenitor for a multimessenger follow-up. A highly…
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 r…
Towards mono-energetic virtual beam cross-section measurements: A feasibility study of -Ar interaction analysis with DUNE-PRISM
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1321
Neutrino-nucleus cross-section measurements are critical for future neutrino oscillation analyses. However, our models to describe them require further refinement, and a deeper und…
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…