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January 28, 2026Radiation Detection Technology and Methods

Position reconstruction of plastic scintillator detectors using convolutional neural network

Cuiling Yu Quanyin Li Daojin Hong Hui Li Yiyue Li Weiwei Xu

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Key Points

Position reconstruction accuracy significantly improved with convolutional neural networks, achieving a notable increase in precision.
The network was trained on synthetic datasets, achieving over 90% accuracy in reconstruction tasks.
Assessment of detector responses involved image processing techniques for refined signal interpretation.
These findings highlight the potential for enhanced detector applications, with further validation needed beyond this model.

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Implication

Analysis demonstrates improved position reconstruction in detectors using convolutional neural networks, suggesting advanced detection capabilities.

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Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/69a75c68c6e9836116a2545c https://doi.org/10.1007/s41605-026-00646-9

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