Improvement of algorithms for digital real-time n-γ discrimination

Three algorithms（the Charge Comparison Method,n-γ Model Analysis and the Centroid Algorithm）have been revised to improve their accuracy and broaden the scope of applications to real-time digital n-γ discrimination.To evaluate the feasibility of the revised algorithms,a comparison between the improve...

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Published inChinese physics C Vol. 40; no. 2; pp. 66 - 73
Main Author 王宋 许鹏 鲁昌兵 霍勇刚 张俊杰
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.02.2016
Subjects
Accuracy
Algorithms
Centroids
Digital
Discrimination
improvement of algorithms
Mathematical models
Optimization
Real time
real-time discrimination
优值系数
判别算法
实时
扩大应用
改进算法
模型分析
算法改进
质心算法
Online AccessGet full text
ISSN1674-1137
0254-3052
DOI10.1088/1674-1137/40/2/026202

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Summary:Three algorithms（the Charge Comparison Method,n-γ Model Analysis and the Centroid Algorithm）have been revised to improve their accuracy and broaden the scope of applications to real-time digital n-γ discrimination.To evaluate the feasibility of the revised algorithms,a comparison between the improved and original versions of each is presented.To select an optimal real-time discrimination algorithm from these six algorithms（improved and original）,the figure-of-merit（FOM）,Peak-Threshold Ratio（PTR）,Error Probability（EP） and Simulation Time（ST） for each were calculated to obtain a quantitatively comprehensive assessment of their performance.The results demonstrate that the improved algorithms have a higher accuracy,with an average improvement of 10%in FOM,95%in PTR and 25%in EP,but all the STs are increased.Finally,the Adjustable Centroid Algorithm（ACA） is selected as the optimal algorithm for real-time digital n-γ discrimination.
Bibliography:Three algorithms（the Charge Comparison Method,n-γ Model Analysis and the Centroid Algorithm）have been revised to improve their accuracy and broaden the scope of applications to real-time digital n-γ discrimination.To evaluate the feasibility of the revised algorithms,a comparison between the improved and original versions of each is presented.To select an optimal real-time discrimination algorithm from these six algorithms（improved and original）,the figure-of-merit（FOM）,Peak-Threshold Ratio（PTR）,Error Probability（EP） and Simulation Time（ST） for each were calculated to obtain a quantitatively comprehensive assessment of their performance.The results demonstrate that the improved algorithms have a higher accuracy,with an average improvement of 10%in FOM,95%in PTR and 25%in EP,but all the STs are increased.Finally,the Adjustable Centroid Algorithm（ACA） is selected as the optimal algorithm for real-time digital n-γ discrimination.
11-5641/O4
n-γ discrimination improvement of algorithms real-time discrimination
Song Wang, Peng Xu, Chang-Bing Lu, Yong-Gang Huo,Jun-Jie Zhang（ Xi＇an Research Institute of Hi-Tech, Xi＇an 710025, China）
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ISSN:1674-1137
0254-3052
DOI:10.1088/1674-1137/40/2/026202