Nuclear Techniques ›› 2019, Vol. 42 ›› Issue (6): 60401-060401.doi: 10.11889/j.0253-3219.2019.hjs.42.060401


Development of adaptive width SNIP algorithm in nuclides identification instrument

Yan GAO,Guoqiang ZENG(),Min GU,Lei YAN,Mingtao LUO,Yang HOU,Zhu ZHU,Wei TANG   

  1. Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, China
  • Received:2018-06-20 Revised:2019-01-09 Online:2019-06-10 Published:2019-06-18
  • Contact: Guoqiang ZENG
  • About author:GAO Yan, female, born in 1995, graduated from Chengdu University of Technology in 2017, master student
  • Supported by:
    Supported by National Key Research and Development Project (No.2017YFC0602100), National Natural Science Foundation of China (No.41474159), Technology Research and Development Program of the Ministry of Science and Technology of Sichuan Province, China(No.2017GZ0390)

Abstract: Background

Clipping the scattering background of γ-ray spectrum is one of the important issues in the γ-ray spectrum analysis process. At present, there are many research results in the scattering background clipping methods. Statistically sensitive nonlinear iterative peak-clipping (SNIP) is an ideal choice. However, the original SNIP algorithm uses a fixed width for background clipping, which will cause considerable errors, so researchers have made some improvements to this defect.


This study aims to improve the SNIP algorithm to better solve the problem of the original SNIP algorithm, and the improved SNIP algorithms proposed by other researchers.


First of all, dozens of spectrums measured by different radioactive sources were analyzed and used to obtain the functional relationship between peak width and energy. Then, the function was written into the computer program of SNIP algorithm, so that the width could be calculated instantly. Finally, after the spectrum width was obtained, the remaining SNIP calculation continued to complete the scattering background clipping of the spectrum.


The experimental results show that the adaptive width SNIP algorithm can accurately clip the scattering background of spectrum with advantages of simple structure and good in dynamic effect.


This method can be used to optimize the effect of nuclides identification by accurate calculation of the net peak area providing more choices for nuclides identification instrument.

Key words: Clipping scattered background, Improved SNIP algorithm, Adaptive width, Nuclides identification

CLC Number: 

  • TL99