Gaussian shaper for nuclear pulses based on multilevel cascade convolution

作     者：Min Wang Jian‑Bin Zhou Xiao‑Ping Ouyang Ying‑Jie Ma Xu Hong Min Wang;Jian-Bin Zhou;Xiao-Ping Ouyang;Ying-Jie Ma;Xu Hong

作者机构：College of Nuclear Technology and Automation EngineeringChengdu University of TechnologyErxian Bridge No.1 East 3 RoadChenghua DistrictChengdu 610059China Northwest Institute of Nuclear TechnologyXi’an 710024China 

出 版 物：《Nuclear Science and Techniques》 (核技术（英文）)

年 卷 期：2022年第33卷第12期

页      面：116-127页

核心收录：

学科分类：082704[工学-辐射防护及环境保护] 08[工学] 0827[工学-核科学与技术] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 

基　　金：supported by the National Natural Science Foundation of China(Nos.11975060,12005026,and 12075038) the Science and Technology Project in Sichuan Province(No.2021JDRC0028) 

主　　题：Impulse shaping Multilevel cascade convolution S–K filter Gaussian-like distribution Double exponential signal 

摘      要：For nuclear measurements,it is necessary to obtain accurate information from nuclear pulses,which should be obtained by first shaping the pulses outputted by the ***,commonly used pulse-shaping algorithms have certain *** example,certain pulse-shaping algorithms have long dead-times in high-counting-rate environments or are difficult to achieve in digital *** signals are widely used in analog nuclear instruments owing to their symmetry and completeness.A Gaussian signal is usually implemented by using a multilevel S–K filter in series or in *** is difficult to construct a real-time digital Gaussian filter for the complex Gaussian filtering *** on the multilevel cascade convolution,a pulse-shaping algorithm for double exponential signals is proposed in this study,which,in addition to double exponential signals,allows more complex output signal models to be used in the new *** proposed algorithm can be used in high-counting-rate environments and has been implemented in an FPGA with fewer multipliers than those required in other traditional Gaussian pulse-shaping *** offline processing results indicated that the average peak base width of the output-shaped pulses obtained using the proposed algorithm was reduced compared with that obtained using the traditional Gaussian pulse-shaping *** results also demonstrated that signal-to-noise ratios and energy resolutions were improved,particularly for pulses with a low *** energy resolution was improved by 0.1–0.2%while improving the counting rate.