Analytical method for γ energy spectrum of radioactive waste drum based on deep neural network
“In the field of measuring radioactive waste bins in nuclear power plants, experts have proposed a gamma spectrum analysis method based on deep neural networks, which solves the problems of misidentification of nuclides and poor accuracy in peak area calculation, providing a solution for the energy spectrum analysis of radioactive waste bins.”
WANG Jiangwei,GU Weiguo,YANG Hui,et al.Analytical method for γ energy spectrum of radioactive waste drum based on deep neural network[J].NUCLEAR TECHNIQUES,2022,45(04):040501-040501.
WANG Jiangwei,GU Weiguo,YANG Hui,et al.Analytical method for γ energy spectrum of radioactive waste drum based on deep neural network[J].NUCLEAR TECHNIQUES,2022,45(04):040501-040501. DOI: 10.11889/j.0253-3219.2022.hjs.45.040501.
Analytical method for γ energy spectrum of radioactive waste drum based on deep neural network
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Related Author
Jiangwei WANG
Weiguo GU
Hui YANG
Dezhong WANG
WU Yuxuan
WANG Yongping
QIN Shuai
CAO Liangzhi
Related Institution
Xi'an Jiaotong University
Huaneng Nuclear Energy Technology Research Institute
School of Nuclear Science and Engineering, Shanghai Jiao Tong University
Shanghai Institute of Applied Physics, Chinese Academy of Sciences