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Predicting transport effects of scintillation light signals in large-scale liquid argon detectors

Abstract:
SBND is the near detector of the Short-Baseline Neutrino program at Fermilab. Its location near to the Booster Neutrino Beam source and relatively large mass will allow the study of neutrino interactions on argon with unprecedented statistics. This paper describes the expected performance of the SBND photon detection system, using a simulated sample of beam neutrinos and cosmogenic particles. Its design is a dual readout concept combining a system of 120 photomultiplier tubes, used for triggering, with a system of 192 X-ARAPUCA devices, located behind the anode wire planes. Furthermore, covering the cathode plane with highly-reflective panels coated with a wavelength-shifting compound recovers part of the light emitted towards the cathode, where no optical detectors exist. We show how this new design provides a high light yield and a more uniform detection efficiency, an excellent timing resolution and an independent 3D-position reconstruction using only the scintillation light. Finally, the whole reconstruction chain is applied to recover the temporal structure of the beam spill, which is resolved with a resolution on the order of nanoseconds
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1140/epjc/s10052-021-09119-3
Publication website:
https://eprints.lancs.ac.uk/223493/1/2406.07514v1.pdf

Authors

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Role:
Author
ORCID:
0000-0003-3452-3478
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-9872-3685
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Role:
Author
ORCID:
0000-0002-4174-4407


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Funder identifier:
10.13039/501100011011
Grant:
A-FQM-211-UGR-18
SOMM17/6104/UGR
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Funder identifier:
10.13039/501100000288
Grant:
RGF\EA\180209
UF140089
More from this funder
Funder identifier:
10.13039/100010665
Grant:
754446


Publisher:
SpringerOpen
Journal:
The European Physical Journal C More from this journal
Volume:
81
Issue:
4
Pages:
349
Article number:
349
Publication date:
2021-04-22
DOI:
EISSN:
1434-6052
ISSN:
1434-6044


Language:
English
Keywords:
Pubs id:
1178295
Local pid:
pubs:1178295
Source identifiers:
W3090057727
Deposit date:
2026-03-24
ARK identifier:
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