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Introducing a Markov chain-based time calibration procedure for multi-channel particle detectors: application to the SuperFGD and ToF detectors of the T2K experiment

Abstract:
Inter-channel mis-synchronisation can be a limiting factor to the time resolution of high performance timing detectors with multiple readout channels and independent electronics units. In these systems, time calibration methods employed must be able to efficiently correct for minimal mis-synchronisation between channels and achieve the best detector performance. We present an iterative time calibration method based on Markov Chains, suitable for detector systems with multiple readout channels. Starting from correlated hit pairs alone, and without requiring an external reference time measurement, the method solves for fixed per-channel offsets, with precision limited only by the intrinsic single-channel resolution. A mathematical proof that the method is able to find the correct time offsets to be assigned to each detector channel in order to achieve inter-channel synchronisation is given, and it is shown that the number of iterations to reach convergence within the desired precision is controllable with a single parameter. Numerical studies are used to confirm unbiased recovery of true offsets. Finally, the application of the calibration method to the Super Fine-Grained Detector (SuperFGD) and the Time of Flight (TOF) detector at the upgraded T2K near detector (ND280) shows good improvement in overall timing resolution, demonstrating the effectiveness in a real-world scenario and scalability.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/1748-0221/20/10/p10030

Authors


Publisher:
IOP Publishing
Journal:
Journal of Instrumentation More from this journal
Volume:
20
Issue:
10
Article number:
P10030
Publication date:
2025-10-15
Acceptance date:
2025-09-28
DOI:
EISSN:
1748-0221


Language:
English
Keywords:
Pubs id:
2301829
Local pid:
pubs:2301829
Source identifiers:
3374818
Deposit date:
2025-10-15
ARK identifier:
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