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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 …
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 …
resolution information on particle interactions, and leveraging that information to its full …
Accelerating machine learning inference with GPUs in ProtoDUNE data processing
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 …
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
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 …
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 …
Chamber (LArTPC) technology in its pursuit of uncovering the origins of matter. As a crucial …
Applications of Deep Learning to physics workflows
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 …
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 …
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 …
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 …
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 …
experiment hosted in the USA consisting of a high-intensity neutrino beam, a near detector …