Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

AA Abud, B Abi, R Acciarri, MA Acero, MR Adames… - Physical Review D, 2023 - APS
Measurements of electrons from ν e interactions are crucial for the Deep Underground
Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics …

Graph neural network for neutrino physics event reconstruction

A Aurisano, V Hewes, G Cerati, J Kowalkowski, CS Lee… - Physical Review D, 2024 - APS
Liquid argon time projection chamber (LArTPC) detector technology offers a wealth of high-
resolution information on particle interactions, and leveraging that information to its full …

Accelerating machine learning inference with GPUs in ProtoDUNE data processing

T Cai, K Herner, T Yang, M Wang… - Computing and Software …, 2023 - Springer
We study the performance of a cloud-based GPU-accelerated inference server to speed up
event reconstruction in neutrino data batch jobs. Using detector data from the ProtoDUNE …

Self-compensating light calorimetry with liquid argon time projection chamber for GeV neutrino physics

X Ning, W Shi, C Zhang, C Riccio, JH Jo - Physical Review D, 2025 - APS
The Liquid Argon Time Projection Chamber (LArTPC) is a powerful dual calorimeter capable
of estimating particle energy from both ionization charge and scintillation light. Our study …

Measurement of the pion charge exchange differential cross section on Argon with the ProtoDUNE-SP detector

K Yang - 2023 - ora.ox.ac.uk
The Deep Underground Neutrino Experiment (DUNE) utilizes Liquid Argon Time Projection
Chamber (LArTPC) technology in its pursuit of uncovering the origins of matter. As a crucial …

Applications of Deep Learning to physics workflows

M Agarwal, J Alameda, J Audenaert, W Benoit… - arxiv preprint arxiv …, 2023 - arxiv.org
Modern large-scale physics experiments create datasets with sizes and streaming rates that
can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing …

Sparse Convolutional Neural Networks for particle classification in ProtoDUNE-SP events

AA Abud, DUNE collaboration - Journal of Physics: Conference …, 2023 - iopscience.iop.org
Deep Learning (DL) methods and Computer Vision are becoming important tools for event
reconstruction in particle physics detectors. In this work, we report on the use of submanifold …

[HTML][HTML] Pion–Argon Inclusive Cross-Section Measurement on ProtoDUNE-SP

Y Liu - Physical Sciences Forum, 2023 - mdpi.com
The pion–argon cross-section measurement is crucial to understanding effects such as final
state interactions, which account for a large source of systematic uncertainty in neutrino …

Instrumentation and Techniques in High Energy Physics: Liquid Argon Neutrino Detectors

D Caratelli - Instrumentation and Techniques in High Energy …, 2024 - World Scientific
Liquid Argon Time Projection Chambers (LArTPCs) have become a prominent detector
technology employed in experimental neutrino physics. This chapter presents a review of …

[PDF][PDF] 2GeV π-Ar Exclusive Cross Section Measurement at ProtoDUNE

SS Bhuller - 2024 - research-information.bris.ac.uk
Abstract The Deep Underground Neutrino Experiment (DUNE) is a long baseline neutrino
experiment hosted in the USA consisting of a high-intensity neutrino beam, a near detector …