Research on the optimization method for PGNAA system design based on Signal-to-Noise Ratio evaluation

JiaTong Li; WenBao Jia; DaQian Hei; Zeen Yao; Can Cheng

doi:https://doi.org/10.1016/j.net.2021.12.034

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자료유형: 학술저널

저자정보: JiaTong Li (School of Physical Science and Technology, Lanzhou University) WenBao Jia (c Institute of Nuclear Analytical Technology, Nanjing University of Aeronautics and Astronautics) DaQian Hei (School of Nuclear Science and Technology, Lanzhou University) Zeen Yao (School of Nuclear Science and Technology, Lanzhou University) Can Cheng (c Institute of Nuclear Analytical Technology, Nanjing University of Aeronautics and Astronautics)

저널정보: 한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제54권 제6호

발행연도: 2022.6

수록면: 2,221 - 2,229 (9page)

DOI: https://doi.org/10.1016/j.net.2021.12.034

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In this research, for improving the measurement performance of Prompt Gamma-ray Neutron ActivationAnalysis (PGNAA) set-up, a new optimization method for set-up design was proposed and investigated. At first, the calculation method for Signal-to-Noise Ratio (SNR) was proposed. Since the SNR could becalculated and quantified accurately, the SNR was chosen as the evaluation parameter in the newoptimization method. For discussing the feasibility of the SNR optimization method, two kinds of PGNAAset-ups were designed in the MCNP code, based on the SNR optimization method and the previous signaloptimization method, respectively. Meanwhile, the single element spectra analysis method was proposed, and the analysis effect of single element spectra as well as element sensitivity were used forcomparing the measurement performance. Since the simulation results showed the better measurementperformance of set-up designed by SNR optimization method, the experimental set-ups were built forthe further testing, finally demonstrating the feasibility of the SNR optimization method for PGNAA setup design

#Signal-to-noise ratio (SNR) #PGNAA set-up design #Neutron self-shielding correction #Single element spectra analysis #MCNP simulation

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