374 citations · 3k across the 75 of their papers we have counts for
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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…
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
DUNE Collaboration, A. Abed Abud, B. Abi +1220
The Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time project…
Evaluation of Monte-Carlo-based System Response Matrix Completeness and its Impact on Image Quality in Positron Emission Tomography
Adrien Hourlier, Debora Giovagnoli, Virgile Bekaert +2
A major strength of iterative algorithms used in positron emission tomography (PET) lies in their abilities to introduce precise models of the physics at play, which includes the s…
A Gaseous Argon-Based Near Detector to Enhance the Physics Capabilities of DUNE
A. Abed Abud, B. Abi, R. Acciarri +1239
This document presents the concept and physics case for a magnetized gaseous argon-based detector system (ND-GAr) for the Deep Underground Neutrino Experiment (DUNE) Near Detector.…
Snowmass Neutrino Frontier: DUNE Physics Summary
DUNE Collaboration, A. Abed Abud, B. Abi +1240
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment with a primary physics goal of observing neutrino and antineutrin…
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
DUNE Collaboration, A. Abed Abud, B. Abi +1221
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the techn…