activity
20202026
most citedNeutrino interaction classification with a convolutional neural network in the DUNE far detector

45 citations · 155 across the 21 of their papers we have counts for

collaborators

21 papers

physics.ins-det2026

Charge readout electronics for the DUNE horizontal drift far detector: design and performance in ProtoDUNE-HD

DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1364

DUNE (Deep Underground Neutrino Experiment) is a long-baseline neutrino oscillation experiment currently under construction, whose far detectors will be the largest liquid argon ti…

hep-ex2025

Identification of low-energy kaons in the ProtoDUNE-SP detector

DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1343

The Deep Underground Neutrino Experiment (DUNE) is a next-generation neutrino experiment with a rich physics program that includes searches for the hypothetical phenomenon of proto…

physics.ins-det2025★ 3 cited

Operation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam

DUNE Collaboration, S. Abbaslu, A. Abed Abud +1318

The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) n…

physics.ins-det2025★ 5 cited

Spatial and Temporal Evaluations of the Liquid Argon Purity in ProtoDUNE-SP

DUNE Collaboration, S. Abbaslu, A. Abed Abud +1320

Liquid argon time projection chambers (LArTPCs) rely on highly pure argon to ensure that ionization electrons produced by charged particles reach readout arrays. ProtoDUNE Single-P…

hep-ex2025★ 1 cited

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…

physics.ins-det2024

The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data

DUNE Collaboration, A. Abed Abud, B. Abi +1366

This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection cha…