NUCLEAR TECHNIQUES, Volume. 48, Issue 3, 030502(2025)
Radionuclide identification method of two-dimensional convolutional neural network based on nuclear pulse peak sequence
Fig. 1. Diagram of experimental conditions and data acquisition process
Fig. 2. Sequence scatter plot of 137Cs (a), 60Co (b), 155Eu-22Na (c), 137Cs-60Co (d), 60Co-155Eu-22Na (e), 137Cs-155Eu-22Na (f), 137Cs-60Co-155Eu-22Na (g), background (h)
Fig. 3. Schematic diagram of the mapping of nuclear pulse sequence from one-dimensional to two-dimensional (color online)
Fig. 5. Train 2D-CNN model loss line graphs with different parameter structures, filling method: 'Same' means zero filling, 'Valid' means no filling, 'BN' means batch normalization, 'NoneBN' means no batch normalization (color online)
Fig. 6. Stratified 10-fold cross-validation accuracy curve: 4 categories (color online)
Fig. 7. Confusion matrix (4 nuclide combinations) (a) Sequence length: 400, (b) Sequence length: 900
Fig. 8. Stratified 10-fold cross-validation accuracy curve: 5 radionuclide combinations (color online)
Fig. 9. Confusion matrix (5 categories) (a) Sequence length: 400, (b) Sequence length: 900
Fig. 10. Stratified 10-fold cross-validation accuracy curve: 8 categories (color online)
Fig. 11. Confusion matrix (8 categories) (a) Sequence length: 400, (b) Sequence length: 900
Fig. 12. Energy spectrum (1) ((a) nuc7, nuc2, (b) nuc6, nuc3) and scatter plot (2) ((c) nuc7, nuc2, (d) nuc6, nuc3) when sequence length is 900, detection distance is 40 cm (color online)
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Geng LUO, Rui SHI, Shuxin ZENG, Yanan SHANG, Guang YANG, Yixian DING, Yadong WU, Xianguo TUO. Radionuclide identification method of two-dimensional convolutional neural network based on nuclear pulse peak sequence[J]. NUCLEAR TECHNIQUES, 2025, 48(3): 030502
Category: NUCLEAR PHYSICS, INTERDISCIPLINARY RESEARCH
Received: Aug. 21, 2024
Accepted: --
Published Online: Apr. 15, 2025
The Author Email: Rui SHI (石睿), Xianguo TUO (庹先国)