activity
20202026
most citedAdjusting Neutrino Interaction Models and Evaluating Uncertainties using NOvA Near Detector Data

34 citations · 86 across the 10 of their papers we have counts for

collaborators

10 papers

hep-ex2026

Neutron detector response modeling in NOvA

NOvA Collaboration, S. Abubakar, M. A. Acero +194

Neutrons can present a significant challenge for neutrino experiments in which energy reconstruction is critical. With the ability to escape detection completely and with a weak co…

hep-ex2023★ 17 cited

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

DUNE Collaboration, A. Abed Abud, B. Abi +1313

A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the MeV neutrinos produced by a Galactic core-collapse supernova if one s…

physics.comp-ph2022★ 6 cited

Highly-parallelized simulation of a pixelated LArTPC on a GPU

DUNE Collaboration, A. Abed Abud, B. Abi +1300

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for part…

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★ 8 cited

Monte Carlo method for constructing confidence intervals with unconstrained and constrained nuisance parameters in the NOvA experiment

M. A. Acero, B. Acharya, P. Adamson +218

Measuring observables to constrain models using maximum-likelihood estimation is fundamental to many physics experiments. Wilks' theorem provides a simple way to construct confiden…

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…

hep-ex2020★ 34 cited

Adjusting Neutrino Interaction Models and Evaluating Uncertainties using NOvA Near Detector Data

NOvA Collaboration, M. A. Acero, P. Adamson +192

The two-detector design of the NOvA neutrino oscillation experiment, in which two functionally identical detectors are exposed to an intense neutrino beam, aids in canceling leadin…