Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method

BackgroundMultisphere neutron spectrometers are pivotal in accurately measuring neutron flux across various fields. The inherent complexities and non-linearities in their calculation processes, such as correlated variables, make traditional uncertainty analysis methods based on theoretical models an...

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Main Authors: ZHANG Dake, TANG Zhihui, WEI Yingjing, LI Taosheng, CAO Qinjian, SUN Bowen
Format: Article
Language:zho
Published: Science Press 2024-12-01
Series:He jishu
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Online Access:http://www.hjs.sinap.ac.cn/zh/article/doi/10.11889/j.0253-3219.2024.hjs.47.120403/
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author ZHANG Dake
TANG Zhihui
WEI Yingjing
LI Taosheng
CAO Qinjian
SUN Bowen
author_facet ZHANG Dake
TANG Zhihui
WEI Yingjing
LI Taosheng
CAO Qinjian
SUN Bowen
author_sort ZHANG Dake
collection DOAJ
description BackgroundMultisphere neutron spectrometers are pivotal in accurately measuring neutron flux across various fields. The inherent complexities and non-linearities in their calculation processes, such as correlated variables, make traditional uncertainty analysis methods based on theoretical models and empirical formulas (e.g., the GUM (Guide to the Uncertainty in Measurement) method) unsuitable.PurposeThis study aims to demonstrate the application of the Monte Carlo (MC) method as an effective tool for evaluating measurement uncertainty in multi-sphere spectrometers, addressing the challenges posed by complex systems and non-linear problems.MethodsFirst of all, the MC method was employed to conduct probability density sampling of input variables to obtain the probability density distribution of the output variables. Detailed statistical characterization of the calculation results was allowed to provide a more comprehensive understanding compared to conventional methods. Then, numerous simulations were performed to take into account of variability and uncertainty in the input parameters, hence the robustness of the analysis was enhanced. Consequently, this technique overcome the limitations of traditional deterministic approaches, offering more reliable and nuanced insights into the system's behavior. Finally, experiments were carried out using multisphere neutron spectrometers and neutron field standard device (including 4 neutron sources), and the measurement results of neutron flux spectrum under 30 cm iron ball shielding were evaluated using above-mentioned method.ResultsThe spectrum unfolding results obtained by this method have a total uncertainty of 5% in the energy group of interest after being passed by the spectrum unscrambling program.ConclusionsThe application of the MC method offers a robust framework for the assessment of measurement uncertainties in multi-sphere neutron spectrometers. This study not only enhances the accuracy and reliability of spectrometer measurements, but also contributes to the broader field of neutron measurement techniques by providing a reference for the evaluation of complex systems.
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spelling doaj-art-ecc9e2f68edc4a2bae3534c174f89a442025-08-20T02:53:30ZzhoScience PressHe jishu0253-32192024-12-01471212040312040310.11889/j.0253-3219.2024.hjs.47.1204030253-3219(2024)12-0063-10Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo methodZHANG Dake0TANG Zhihui1WEI Yingjing2LI Taosheng3CAO Qinjian4SUN Bowen5Institute of Health Physics, China Institute for Radiation Protection, Taiyuan030006, ChinaInstitute of Health Physics, China Institute for Radiation Protection, Taiyuan030006, ChinaInstitute of Health Physics, China Institute for Radiation Protection, Taiyuan030006, ChinaKey Laboratory of Neutron Transport Theory and Radiation Safety, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei230031, ChinaInstitute of Health Physics, China Institute for Radiation Protection, Taiyuan030006, ChinaInstitute of Health Physics, China Institute for Radiation Protection, Taiyuan030006, ChinaBackgroundMultisphere neutron spectrometers are pivotal in accurately measuring neutron flux across various fields. The inherent complexities and non-linearities in their calculation processes, such as correlated variables, make traditional uncertainty analysis methods based on theoretical models and empirical formulas (e.g., the GUM (Guide to the Uncertainty in Measurement) method) unsuitable.PurposeThis study aims to demonstrate the application of the Monte Carlo (MC) method as an effective tool for evaluating measurement uncertainty in multi-sphere spectrometers, addressing the challenges posed by complex systems and non-linear problems.MethodsFirst of all, the MC method was employed to conduct probability density sampling of input variables to obtain the probability density distribution of the output variables. Detailed statistical characterization of the calculation results was allowed to provide a more comprehensive understanding compared to conventional methods. Then, numerous simulations were performed to take into account of variability and uncertainty in the input parameters, hence the robustness of the analysis was enhanced. Consequently, this technique overcome the limitations of traditional deterministic approaches, offering more reliable and nuanced insights into the system's behavior. Finally, experiments were carried out using multisphere neutron spectrometers and neutron field standard device (including 4 neutron sources), and the measurement results of neutron flux spectrum under 30 cm iron ball shielding were evaluated using above-mentioned method.ResultsThe spectrum unfolding results obtained by this method have a total uncertainty of 5% in the energy group of interest after being passed by the spectrum unscrambling program.ConclusionsThe application of the MC method offers a robust framework for the assessment of measurement uncertainties in multi-sphere neutron spectrometers. This study not only enhances the accuracy and reliability of spectrometer measurements, but also contributes to the broader field of neutron measurement techniques by providing a reference for the evaluation of complex systems.http://www.hjs.sinap.ac.cn/zh/article/doi/10.11889/j.0253-3219.2024.hjs.47.120403/monte carlo methoduncertainty ratingneutron spectrometer
spellingShingle ZHANG Dake
TANG Zhihui
WEI Yingjing
LI Taosheng
CAO Qinjian
SUN Bowen
Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method
He jishu
monte carlo method
uncertainty rating
neutron spectrometer
title Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method
title_full Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method
title_fullStr Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method
title_full_unstemmed Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method
title_short Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method
title_sort uncertainty analysis method and application of neutron multi sphere spectrometer measurement based on monte carlo method
topic monte carlo method
uncertainty rating
neutron spectrometer
url http://www.hjs.sinap.ac.cn/zh/article/doi/10.11889/j.0253-3219.2024.hjs.47.120403/
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AT weiyingjing uncertaintyanalysismethodandapplicationofneutronmultispherespectrometermeasurementbasedonmontecarlomethod
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AT caoqinjian uncertaintyanalysismethodandapplicationofneutronmultispherespectrometermeasurementbasedonmontecarlomethod
AT sunbowen uncertaintyanalysismethodandapplicationofneutronmultispherespectrometermeasurementbasedonmontecarlomethod