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一种实时核脉冲信号峰值检测方法及能谱分析
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  • 英文篇名:A real-time peak detection method for nuclear pulse signal and energy spectrum analysis
  • 作者:袁源 ; 张流强 ; 罗小丽 ; 李盈霖
  • 英文作者:YUAN Yuan;ZHANG Liuqiang;LUO Xiaoli;LI Yinglin;Key Laboratory of Optoelectronic Technology and Systems,Ministry of Education,Chongqing University;
  • 关键词:实时峰值检测 ; 单阈值 ; 状态机法 ; 能谱分析 ; 现场可编程门阵列
  • 英文关键词:Real-time peak detection;;Single threshold;;State machine method;;Energy spectrum analysis;;FPGA
  • 中文刊名:HJSU
  • 英文刊名:Nuclear Techniques
  • 机构:重庆大学光电技术与系统教育部重点实验室;
  • 出版日期:2019-02-10
  • 出版单位:核技术
  • 年:2019
  • 期:v.42
  • 基金:国家自然科学基金(No.61274048)资助~~
  • 语种:中文;
  • 页:HJSU201902008
  • 页数:7
  • CN:02
  • ISSN:31-1342/TL
  • 分类号:51-57
摘要
针对双阈值峰值检测算法的两个缺陷,提出了一种新型实时单阈值峰值检测方法。该方法采用状态机方式,在现场可编程门阵列(Field Programmable Gate Array,FPGA)中实现,方法中三个状态能够灵活转移,抗噪声能力强,且输出峰值稳定,错误率低,以241Am放射源为例,测量不同阈值下的能谱图,通过分析比对确定了实验中的最佳阈值。对比有放射源和无放射源下的能谱图,测定了能谱中噪声峰的位置。最后通过241Am的三个主要光子能量强度确定了能谱峰的各个峰的成分,验证了该方法的可行性。为后续系统的优化、多通道的扩展、光子成像的应用等提供了基础。
        [Background] Most real-time peak detection algorithms are based on double threshold which have two,defects: 1) pulse near the threshold line can not be detected well; 2) the peak output point is unstable. [Purpose] This study aims to overcome the disadvantage of double threshold peak detection algorithm by proposing a new real-time peak detection method based on single threshold. [Methods] Single threshold detection method is implemented in field programmable gate array by using state machine. Three states, i. e., seeking the minimum state, seeking the maximum state and peak output state, can be switched randomly. The241 Am radiation source was taken as an example to measure the energy spectra under different thresholds. The optimal threshold was selected by comparing the spectrum of different thresholds, and the components of the spectrum were determined by comparing the noise peak to the signal peak. and the output peak is stable. [Results] Three main photon energy intensities of241 Am were verified by using this method to determine the composition of each peak of the energy spectrum. [Conclusion] Single threshold method can improve the shortcoming of double threshold algorithm, and has good application in energy spectrum measurement.
引文
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