DUNE UK Production Project
Lead Research Organisation:
University of Bristol
Department Name: Physics
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
Please refer to the lead submission of this joint proposal.
Publications
Manly S
(2021)
Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report
in Instruments
Abi B
(2020)
Long-baseline neutrino oscillation physics potential of the DUNE experiment DUNE Collaboration
in The European Physical Journal C
Abud A
(2022)
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment
in Physical Review D
Abi B
(2020)
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
in Physical Review D
Abud AA
(2022)
Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC.
in The European physical journal. C, Particles and fields
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
Cussans D
(2020)
Timing and synchronization of the DUNE neutrino detector
in Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Barcock A
(2023)
Timing and synchronization of the DUNE neutrino detector
in Journal of Instrumentation
Abi B
(2020)
Volume I. Introduction to DUNE
in Journal of Instrumentation
Abi B
(2020)
Volume III. DUNE far detector technical coordination
in Journal of Instrumentation
Description | Machine Learning Acceleration for Fast Triggers |
Amount | £24,639 (GBP) |
Funding ID | ST/W005565/1 |
Organisation | Science and Technologies Facilities Council (STFC) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 06/2022 |
Description | Deep Underground Neutrino Experiment (DUNE) |
Organisation | Fermilab - Fermi National Accelerator Laboratory |
Department | DUNE |
Country | United States |
Sector | Public |
PI Contribution | The Bristol team is contributing the detector synchronisation system for the DUNE far detector. Prototype hardware, firmware and software is currently under production and will be delivered to the collaboration for testing at CERN (NP04) this year. In addition, the Bristol team is developing firmware and software for trigger primitive generation in the far detector data acquisition system, as well as performing integration tests. |
Collaborator Contribution | The collaboration as a whole will construct and operate the DUNE near and far detectors. |
Impact | The publications listed under publications have all resulted from this collaboration. |
Start Year | 2018 |