activity
20162025
most citedA Roadmap for HEP Software and Computing R&D for the 2020s

240 citations · 532 across the 22 of their papers we have counts for

collaborators

26 papers

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★ 5 cited

DUNE Phase II: Scientific Opportunities, Detector Concepts, Technological Solutions

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

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…

hep-ex2024★ 7 cited

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…

hep-ex2024

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…

physics.ins-det2024★ 6 cited

Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

DUNE Collaboration, A. Abed Abud, B. Abi +1360

The Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube desi…

physics.comp-ph2024★ 1 cited

Graph Neural Network-based Tracking as a Service

Haoran Zhao, Andrew Naylor, Shih-Chieh Hsu +8

Recent studies have shown promising results for track finding in dense environments using Graph Neural Network (GNN)-based algorithms. However, GNN-based track finding is computati…