DUNE UK Production Project
Lead Research Organisation:
University of Sussex
Department Name: Sch of Mathematical & Physical Sciences
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Planned Impact
See central Je-S form submitted by the University of Oxford.
Organisations
Publications
Abed Abud A
(2022)
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
in The European Physical Journal C
Abed Abud A
(2023)
Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment
in Physical Review D
Abed Abud A
(2023)
Highly-parallelized simulation of a pixelated LArTPC on a GPU
in Journal of Instrumentation
Abi B
(2020)
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
in Physical Review D
Abi B
(2021)
Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration.
in The European physical journal. C, Particles and fields
Abi B
(2020)
Volume III. DUNE far detector technical coordination
in Journal of Instrumentation
Abi B
(2020)
Volume IV. The DUNE far detector single-phase technology
in Journal of Instrumentation
Abi B
(2020)
First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform
in Journal of Instrumentation
Abi B
(2021)
Supernova neutrino burst detection with the Deep Underground Neutrino Experiment DUNE Collaboration
in The European Physical Journal C
Abi B
(2020)
Volume I. Introduction to DUNE
in Journal of Instrumentation