Machine-learning based photon counting for PMT waveforms and its application to the improvement of the energy resolution in large liquid scintillator detectors Article Swipe
Wei Jiang
,
Guihong Huang
,
Zhen Liu
,
W. Luo
,
Liangjian Wen
,
Jianyi Luo
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1140/epjc/s10052-024-13724-3
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1140/epjc/s10052-024-13724-3
Photomultiplier tubes (PMTs) are widely used in particle experiments for photon detection. PMT waveform analysis is crucial for high-precision measurements of the position and energy of incident particles in liquid scintillator (LS) detectors. A key factor contributing to the energy resolution in large liquid scintillator detectors with PMTs is the charge smearing of PMTs. This paper presents a machine-learning-based photon counting method for PMT waveforms and its application to the energy reconstruction, using the JUNO experiment as an example. The results indicate that leveraging the photon counting information from the machine learning model can partially mitigate the impact of PMT charge smearing and lead to a relative 2.0–2.8% improvement on the energy resolution in the energy range of [1, 9] MeV.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1140/epjc/s10052-024-13724-3
- https://link.springer.com/content/pdf/10.1140/epjc/s10052-024-13724-3.pdf
- OA Status
- diamond
- Cited By
- 4
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406802027
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Raw OpenAlex JSON
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- DOI
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https://doi.org/10.1140/epjc/s10052-024-13724-3Digital Object Identifier
- Title
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Machine-learning based photon counting for PMT waveforms and its application to the improvement of the energy resolution in large liquid scintillator detectorsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-24Full publication date if available
- Authors
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Wei Jiang, Guihong Huang, Zhen Liu, W. Luo, Liangjian Wen, Jianyi LuoList of authors in order
- Landing page
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https://doi.org/10.1140/epjc/s10052-024-13724-3Publisher landing page
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https://link.springer.com/content/pdf/10.1140/epjc/s10052-024-13724-3.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1140/epjc/s10052-024-13724-3.pdfDirect OA link when available
- Concepts
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Scintillator, Physics, Liquid scintillation counting, Detector, Resolution (logic), Energy (signal processing), Photon, Photon counting, Nuclear physics, Photomultiplier, Optics, Computer science, Artificial intelligence, Radiochemistry, Chemistry, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4Per-year citation counts (last 5 years)
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48Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2159617645, https://openalex.org/W2144092614, https://openalex.org/W2160172188, https://openalex.org/W3112961481, https://openalex.org/W2343296492, https://openalex.org/W2107918562, https://openalex.org/W4366681637, https://openalex.org/W4377288849, https://openalex.org/W2104347824, https://openalex.org/W2018511639, https://openalex.org/W1927325176, https://openalex.org/W4205092497, https://openalex.org/W3095391489, https://openalex.org/W4280569229, https://openalex.org/W2795342013, https://openalex.org/W3124626414, https://openalex.org/W2949710077, https://openalex.org/W3127181047, https://openalex.org/W4381056735, https://openalex.org/W2242145672, https://openalex.org/W2588745414, https://openalex.org/W2549491455, https://openalex.org/W3112920747, https://openalex.org/W3118471152, https://openalex.org/W4285806984, https://openalex.org/W4309008080, https://openalex.org/W4300982471, https://openalex.org/W3122562968, https://openalex.org/W4404136753, https://openalex.org/W4404636551, https://openalex.org/W4385738739, https://openalex.org/W2948025775, https://openalex.org/W2799138264, https://openalex.org/W4312107573, https://openalex.org/W2974227408, https://openalex.org/W3132204789, https://openalex.org/W4318589136, https://openalex.org/W4220652473, https://openalex.org/W4362640331, https://openalex.org/W2734405194, https://openalex.org/W4311169234, https://openalex.org/W2093437871, https://openalex.org/W2972909277, https://openalex.org/W3106392385, https://openalex.org/W3104569892, https://openalex.org/W3190881271, https://openalex.org/W3102940279, https://openalex.org/W3162894112 |
| referenced_works_count | 48 |
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