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Improvement of algorithms for digital real-time n-γ discrimination
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作者 王宋 许鹏 +2 位作者 鲁昌兵 霍勇刚 张俊杰 《Chinese Physics C》 SCIE CAS CSCD 2016年第2期66-73,共8页
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... 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. 展开更多
关键词 n-γ discrimination improvement of algorithms real-time discrimination
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