Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution

To improve the analytical performance of low resolution gamma spectrometers, a new method based on spectrum deconvolution to detect weak peaks was put forward. First of all, with SuperMC Monte Carlo simulation code, a geometric model matching the measured conditions was established, and then the sy...

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Main Author: SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun
Format: Article
Language:English
Published: Editorial Board of Atomic Energy Science and Technology 2024-10-01
Series:Yuanzineng kexue jishu
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Online Access:https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2023.youxian.0865
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author SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun
author_facet SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun
author_sort SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun
collection DOAJ
description To improve the analytical performance of low resolution gamma spectrometers, a new method based on spectrum deconvolution to detect weak peaks was put forward. First of all, with SuperMC Monte Carlo simulation code, a geometric model matching the measured conditions was established, and then the system response matrices of a NaI(Tl) spectrometer was constructed. Secondly, in order to ensure the accuracy of the gamma spectrum deconvolution, the nonlinear least square spectrum stabilization technique was applied to stabilize the measured spectra. Thirdly, the long time measured background spectrum was used for background deduction. And then the L-R deconvolution algorithm based on the system response matrices was used to improve the saliency of weak peaks. Finally, the symmetric zero-area transformation method was used to detect the weak peaks. To verify the feasibility and applicability of the method, the gamma spectra of weak source 137Cs disturbed by the Compton scattering continuum of high activity 60Co were simulated, and the gamma spectra of weak 137Cs and 152Eu sources disturbed by the Compton scattering continuum of high activity 60Co were measured, as well as the gamma spectra of weak source 137Cs. The simulated and measured results show that the significance of the weak peaks of 137Cs and 152Eu is markedly improved after deconvolution, and the peak-finding success rate increases greatly. Specifically, the peak-finding success rate of the weak peak 137Cs increases from 25.9% to 42.0%, 73.4% to 90.8%, and 61.4 % to 75.2% when it is overwhelmed by the environmental background, the Compton scattering of 60Co and the statistical fluctuation, respectively. The peak-finding success rate of all weak peaks of 152Eu disturbed by the Compton scattering continuum of different degrees, are improved to varying degrees, with an increase of 6.0% to 97.0%. Especially, the peak-finding success rate of 295.9 keV weak peak of 152Eu is significantly elevated from 3.0% to 100%, as well as 1 528.1 keV weak peak of 152Eu from 6.1% to 97.0%. Therefore, it is proved that the method based on spectrum deconvolution to detect weak peaks can effectively improve the weak peaks detection capability of low resolution spectrometers. The performance of the method is restricted by the error of the system response matrices, which is attributed to the mismatch between the Monte Carlo geometric model and the measured conditions, so the method is mainly suitable for the fixed measurement in the laboratory. Furthermore, this method is not only applicable to NaI(Tl) measurement system, but also to other spectrometers such as CsI(Tl), LaBr3(Ce), CdZnTe and HPGe, and is also suitable for application scenarios with shielding measures and anti-coincidence techniques. But, the system response matrices matching the measurement system needs to be established and applied.
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spelling doaj-art-215b664d409a47a7a03e178e04f522222025-08-20T02:11:17ZengEditorial Board of Atomic Energy Science and TechnologyYuanzineng kexue jishu1000-69312024-10-01581022282238doi:10.7538/yzk.2023.youxian.0865Exploration of Weak Peak Detection Method Based on Gamma Spectra DeconvolutionSONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun0State Key Laboratory of NBC Projection for Civilian, Beijing 102205, China To improve the analytical performance of low resolution gamma spectrometers, a new method based on spectrum deconvolution to detect weak peaks was put forward. First of all, with SuperMC Monte Carlo simulation code, a geometric model matching the measured conditions was established, and then the system response matrices of a NaI(Tl) spectrometer was constructed. Secondly, in order to ensure the accuracy of the gamma spectrum deconvolution, the nonlinear least square spectrum stabilization technique was applied to stabilize the measured spectra. Thirdly, the long time measured background spectrum was used for background deduction. And then the L-R deconvolution algorithm based on the system response matrices was used to improve the saliency of weak peaks. Finally, the symmetric zero-area transformation method was used to detect the weak peaks. To verify the feasibility and applicability of the method, the gamma spectra of weak source 137Cs disturbed by the Compton scattering continuum of high activity 60Co were simulated, and the gamma spectra of weak 137Cs and 152Eu sources disturbed by the Compton scattering continuum of high activity 60Co were measured, as well as the gamma spectra of weak source 137Cs. The simulated and measured results show that the significance of the weak peaks of 137Cs and 152Eu is markedly improved after deconvolution, and the peak-finding success rate increases greatly. Specifically, the peak-finding success rate of the weak peak 137Cs increases from 25.9% to 42.0%, 73.4% to 90.8%, and 61.4 % to 75.2% when it is overwhelmed by the environmental background, the Compton scattering of 60Co and the statistical fluctuation, respectively. The peak-finding success rate of all weak peaks of 152Eu disturbed by the Compton scattering continuum of different degrees, are improved to varying degrees, with an increase of 6.0% to 97.0%. Especially, the peak-finding success rate of 295.9 keV weak peak of 152Eu is significantly elevated from 3.0% to 100%, as well as 1 528.1 keV weak peak of 152Eu from 6.1% to 97.0%. Therefore, it is proved that the method based on spectrum deconvolution to detect weak peaks can effectively improve the weak peaks detection capability of low resolution spectrometers. The performance of the method is restricted by the error of the system response matrices, which is attributed to the mismatch between the Monte Carlo geometric model and the measured conditions, so the method is mainly suitable for the fixed measurement in the laboratory. Furthermore, this method is not only applicable to NaI(Tl) measurement system, but also to other spectrometers such as CsI(Tl), LaBr3(Ce), CdZnTe and HPGe, and is also suitable for application scenarios with shielding measures and anti-coincidence techniques. But, the system response matrices matching the measurement system needs to be established and applied.https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2023.youxian.0865weak peaks detectiondeconvolution of gamma spectrumsymmetric zero-area transformation method
spellingShingle SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun
Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution
Yuanzineng kexue jishu
weak peaks detection
deconvolution of gamma spectrum
symmetric zero-area transformation method
title Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution
title_full Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution
title_fullStr Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution
title_full_unstemmed Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution
title_short Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution
title_sort exploration of weak peak detection method based on gamma spectra deconvolution
topic weak peaks detection
deconvolution of gamma spectrum
symmetric zero-area transformation method
url https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2023.youxian.0865
work_keys_str_mv AT songyimingzhouqianqianchenyeliudahaizhouhongzhaoxiaowuyun explorationofweakpeakdetectionmethodbasedongammaspectradeconvolution