Position reconstruction of plastic scintillator detectors using convolutional neural network

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.