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.
Organisations
Publications
Barcock A
(2023)
Timing and synchronization of the DUNE neutrino detector
in Journal of Instrumentation
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
Abud A
(2022)
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment
in Physical Review D
Abud A
(2023)
Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector
in Physical Review D
Abud A
(2024)
First measurement of the total inelastic cross section of positively charged kaons on argon at energies between 5.0 and 7.5 GeV
in Physical Review D
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
Abi B
(2020)
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
in Physical Review D
Abi B
(2020)
Long-baseline neutrino oscillation physics potential of the DUNE experiment DUNE Collaboration
in The European Physical Journal C
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
Abud A
(2023)
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
in The European Physical Journal C
| 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 |
| Title | DUNE DAQ |
| Description | This package is a comprehensive suite of tools that run data-acquisition system for the DUNE experiment. |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Open Source License? | Yes |
| Impact | This package has enabled successfull operation of various prototypes including the ProtoDUNE detectors at CERN. |
| URL | https://dune-daq-sw.readthedocs.io/en/latest/ |
| Description | Royal Society Summer Science Exhibition (2024) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Faculty members and PhD students helped specify and design a display stand to communicate the project, underlying science, technological challenges to a lay audience over a very broad range of ages. They also staffed the event and engaged the public attending the |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://royalsociety.org/news/2024/04/summer-science-exhibition-2024/ |