collaborators

11 papers

hep-ex2026

A Bayesian approach to the long-baseline neutrino oscillation sensitivity of DUNE

DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1278

The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is evaluated using a Bayesian Markov Chain Monte Carlo (MCMC) approach. This analysis use…

physics.ins-det2026

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…

hep-ex2025

Measurement of Exclusive --argon Interactions Using ProtoDUNE-SP

DUNE Collaboration, S. Abbaslu, A. Abed Abud +1323

We present the measurement of --argon inelastic cross sections using the ProtoDUNE Single-Phase liquid argon time projection chamber in the incident kinetic energy r…

hep-ex2025

Towards mono-energetic virtual beam cross-section measurements: A feasibility study of -Ar interaction analysis with DUNE-PRISM

DUNE Collaboration, S. Abbaslu, A. Abed Abud +1321

Neutrino-nucleus cross-section measurements are critical for future neutrino oscillation analyses. However, our models to describe them require further refinement, and a deeper und…

physics.ins-det2025

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

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…