Kneale, L., Wilson, S.T. orcid.org/0000-0002-6874-8600, Appleyard, T. et al. (3 more authors) (Submitted: 2023) Sensitivity of an antineutrino monitor for remote nuclear reactor discovery. [Preprint - arXiv] (Submitted)
Abstract
Antineutrinos from a nuclear reactor comprise an unshieldable signal which carries information about the core. A gadolinium-doped, water-based Cherenkov detector could detect reactor antineutrinos for mid- to far-field remote reactor monitoring for non-proliferation applications. Two novel and independent reconstruction and analysis pathways have been developed and applied to a number of representative reactor signals to evaluate the sensitivity of a kiloton-scale, gadolinium-doped Cherenkov detector as a remote monitor. The sensitivity of four detector configurations to nine reactor signal combinations was evaluated for a detector situated in Boulby Mine, close to the Boulby Underground Laboratory in the UK. It was found that a 22~m detector with a gadolinium-doped, water-based liquid scintillator fill is sensitive to a ∼3 GWth reactor at a standoff of ∼150 km within two years in the current reactor landscape. A larger detector would be required to achieve a more timely detection or to monitor smaller or more distant reactors.
Metadata
Item Type: | Preprint |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). This preprint is made available under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | physics.ins-det; physics.ins-det; hep-ex; physics.app-ph |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Mar 2024 09:30 |
Last Modified: | 27 Mar 2024 10:23 |
Status: | Submitted |
Identification Number: | 10.48550/arXiv.2210.11224 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:210930 |