A Classifier for Nuclear Pulse Detection based on CNN
文献类型：期刊论文
| 作者 | Yang, Yao; Long, Wei; Li, Daowu |
| 刊名 | ACM International Conference Proceeding Series
 |
| 出版日期 | 2020 |
| 页码 | 97-103 |
| DOI | 10.1145/3425577.3425595 |
| 文献子类 | Conference article (CA) |
| 英文摘要 | In the field of nuclear detection, there is a basic task to identify the category and orientation of radioactive source. The category and orientation depend on the energy spectrum and flood histogram which is the statistic of qualified pulses. In this paper, we propose a novel method to distinguish qualified pulses and disqualified pulses with a classification based on convolution neural network (CNN). Although many other methods also focus on this task, they have many defects, for instance they can only get energy spectrum, or they cannot get counting rate accurately. By analyzing the problem, we can find that convolution neural network is a good method to solve this problem. The advantages of our methods are: 1) Our model can reach high accuracy even though the training dataset is not very large. 2) Because convolution layer can ensure the consistency of displacement and scale, it is a good idea to extract the feature of pulses with 1D convolution kernel. 3) This model is small, the precision can reach more than 95% and the recall can reach 98% in few iterations. The result is good enough to recall final results. After the qualified pulses are reserved, we can get the energy spectrum and flood histogram at the same time. We use two different radioactive sources to test the method. The results show that both the energy spectrum and flood histogram are revised no matter in low radiation intensity nor in high radiation intensity. The inference is realized on computer to generate correct energy spectrum and flood histogram which would help to track the orientation of category of radioactive source. © 2020 ACM. |
| 会议地点 | August 23, 2020 - August 25, 2020 |
| 语种 | 英语 |
| 源URL | [https://ir.ihep.ac.cn/handle/311005/304485]  |
| 专题 | 高能物理研究所_核技术应用研究中心 |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Yang, Yao,Long, Wei,Li, Daowu. A Classifier for Nuclear Pulse Detection based on CNN[J]. ACM International Conference Proceeding Series,2020:97-103. |
| APA | Yang, Yao,Long, Wei,&Li, Daowu.(2020).A Classifier for Nuclear Pulse Detection based on CNN.ACM International Conference Proceeding Series,97-103. |
| MLA | Yang, Yao,et al."A Classifier for Nuclear Pulse Detection based on CNN".ACM International Conference Proceeding Series (2020):97-103. |
入库方式： OAI收割
来源：高能物理研究所
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