• Corpus ID: 238354204

Comparative pulse shape discrimination study for Ca(Br, I)$_2$ scintillators using machine learning and conventional methods

@inproceedings{Yoshino2021ComparativePS,
  title={Comparative pulse shape discrimination study for Ca(Br, I)\$\_2\$ scintillators using machine learning and conventional methods},
  author={Masao Yoshino and Tatsuto Iida and Kazuo Mizukoshi and Takae Miyazaki and Keiki Kamada and K. J. Kim and Akihiro Yoshikawa},
  year={2021}
}
In particle physics experiments, pulse shape discrimination (PSD) is a powerful tool for eliminating the major background from signals. However, the analysis methods have been a bottleneck to improving PSD performance. In this study, two machine learning methods—multilayer perceptron and convolutional neural network—were applied to PSD, and their PSD performance was compared with that of conventional analysis methods. Three calcium-based halide scintillators were grown using the vertical… 

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