activity
20212025
most citedFirst Measurement of the Total Inelastic Cross-Section of Positively-Charged Kaons on Argon at Energies Between 5.0 and 7.5 GeV

7 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

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★ 5 cited

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-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…

cs.LG2024

How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective

Xinchi Qiu, William F. Shen, Yihong Chen +4

While unlearning knowledge from large language models (LLMs) is receiving increasing attention, one important aspect remains unexplored. Existing approaches and benchmarks assume d…

hep-ex2023★ 3 cited

The DUNE Far Detector Vertical Drift Technology, Technical Design Report

DUNE Collaboration, A. Abed Abud, B. Abi +1324

DUNE is an international experiment dedicated to addressing some of the questions at the forefront of particle physics and astrophysics, including the mystifying preponderance of m…

cs.SD2021★ 3 cited

End-to-End Speech Recognition from Federated Acoustic Models

Yan Gao, Titouan Parcollet, Salah Zaiem +4

Training Automatic Speech Recognition (ASR) models under federated learning (FL) settings has attracted a lot of attention recently. However, the FL scenarios often presented in th…