arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1505.01546physics.ins-det
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中子和γ脉冲波形的分形谱鉴别方法

Toward a fractal spectrum approach for neutron and gamma pulse shape discrimination

Mingzhe Liu, Bingqi Liu, Zhuo Zuo, Lei Wang, Guibin Zan, Xianguo Tuo

摘要:

在中子探测中,如何准确地从混合辐射场中提取出中子信号和鉴别出γ信号是一个关键的研究课题。本文提出了一种利用中子和γ的不同能谱特征进行分形能谱判别的方法。采用品质因数和平均判别误差比两种方法对判别效果进行评价。根据文献中的实际数据,模拟了不同噪声和脉冲堆积情况下的中子和伽马信号。将该方法与数字电荷积分法和脉冲梯度法进行了比较。结果发现,分形方法表现出最好的判别性能的三种方法。分形谱方法对高频噪声和脉冲堆积不敏感。结果表明,该方法具有抗噪声能力强、判别能力强的优点,可以较好地区分中子和γ射线。

英文摘要:

There is a key research issue to accurately select out neutron signals and discriminate gamma signals from a mixed radiation field in the neutron detection. This paper proposes a fractal spectrum discrimination approach by means of different spectrum characteristics of neutron and gamma. Figure of merit and average discriminant error ratio are adopted together to evaluate the discriminant effects. Different neutron and gamma signals with various noises and pulse pile-ups are simulated according to real data in the literature. The proposed approach is compared with the digital charge integration and pulse gradient methods. It is found that the fractal approach exhibits the best discriminant performance among three methods. The fractal spectrum approach is not sensitive to the high frequency noises and pulse pile-ups. It means that the proposed approach takes the advantages of anti-noises and high discriminant ability, and can be used to better discriminate neutron and gamma in neutron detection.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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