Nuclear Science and Techniques ›› 2019, Vol. 42 ›› Issue (2): 20404-020404.doi: 10.11889/j.0253-3219.2019.hjs.42.020404

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A real-time peak detection method for nuclear pulse signal and energy spectrum analysis

Yuan YUAN,Liuqiang ZHANG(),Xiaoli LUO,Yinglin LI   

  1. 1. Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing 400044, China
  • Received:2018-10-09 Revised:2018-12-29 Online:2019-02-10 Published:2019-02-19
  • Contact: Liuqiang ZHANG E-mail:zlq@cqu.edu.cn
  • About author:YUAN Yuan, male, born in 1994, graduated from North China University of Water Resources and Electric Power in 2016, master student, focusing on radiation detection technology|YUAN Yuan, male, born in 1994, graduated from North China University of Water Resources and Electric Power in 2016, master student, focusing on radiation detection technology|ZHANG Liuqiang, E-mail:<email>zlq@cqu.edu.cn</email>
  • Supported by:
    Supported by National Natural Science Foundation of China (No.61274048)

Abstract: 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. The 241Am 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 of 241Am 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.

Key words: Real-time peak detection, Single threshold, State machine method, Energy spectrum analysis, FPGA

CLC Number: 

  • TL82