activity
20202022
most citedSeparation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

11 citations · 25 across the 6 of their papers we have counts for

collaborators

14 papers

hep-ex2022★ 1 cited

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…

hep-ex2022★ 1 cited

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…

hep-ex2022★ 1 cited

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.…

hep-ex2022★ 7 cited

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…

physics.ins-det2022★ 11 cited

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…

physics.ins-det2022★ 4 cited

Low-Energy Physics in Neutrino LArTPCs

D. Caratelli, W. Foreman, A. Friedland +285

In this white paper, we outline some of the scientific opportunities and challenges related to detection and reconstruction of low-energy (less than 100 MeV) signatures in liquid a…