Fast detection method for radionuclides based on Sequential Bayesian approach

BackgroundAppropriate fast detection method for radionuclides is necessary for customs radioactive security inspection with high flow rates and low counting rate levels. Compared with the traditional uncertainty analysis method, the Bayesian method and the Sequential Probability Ratio Test can fully...

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Main Authors: WAN Linjian, ZHANG Xuan, ZHANG Chunlei, HUANG Jianwei, LIU Jiacheng, ZHANG Xiaole, LI Dehong, YANG Zhijun
Format: Article
Language:zho
Published: Science Press 2025-01-01
Series:He jishu
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Online Access:http://www.hjs.sinap.ac.cn/zh/article/doi/10.11889/j.0253-3219.2025.hjs.48.240190/
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author WAN Linjian
ZHANG Xuan
ZHANG Chunlei
HUANG Jianwei
LIU Jiacheng
ZHANG Xiaole
LI Dehong
YANG Zhijun
author_facet WAN Linjian
ZHANG Xuan
ZHANG Chunlei
HUANG Jianwei
LIU Jiacheng
ZHANG Xiaole
LI Dehong
YANG Zhijun
author_sort WAN Linjian
collection DOAJ
description BackgroundAppropriate fast detection method for radionuclides is necessary for customs radioactive security inspection with high flow rates and low counting rate levels. Compared with the traditional uncertainty analysis method, the Bayesian method and the Sequential Probability Ratio Test can fully utilize all the information of measured physical quantities and reduce the required sample size.PurposeThis study aims to develop a new method to solve the problem of the fast and accurate detection of radionuclides at low radioactive counting rate scenarios.MethodsA new Sequential Bayesian fast detection method for radionuclides was proposed on the basis of binary hypothesis H0 (no radionuclides) and H1 (radionuclides). Based on the principle that the time interval between adjacent two rays was exponential distributed, the decision was caculated by collecting a series of ray time samples in chronological sequence, and decisions were made by comparing the decision function with the preset upper and lower thresholds. Finally, experimental verifications were conducted on the feasibility, detection performance, and universality of the method by placing a set of standard point sources at different distances from the front of a LaBr3(Ce) detection system in both low and natural radiation background environments. The effects of the key parameters of the method on the detection performance were investigated.ResultsUnder the absence of radionuclides in two type of background radiation environments, the average detection time for background radiation by this method is 24.08 s and 10.54 s, with an average detection sample size of 1 427 and 1 742, respectively. Under the presence of radionuclides in two type of background radiation environments, the lower limits of detection sensitivity of experimental measurements are 8.2% and 6.1%, respectively, the corresponding average detection times were only 8.59 s and 6.61 s respectively, and the experimental measurement false negative rates were all zero.ConclusionsResults of this study verify that above proposed method is very suitable for fast detection of low-level radionuclides.
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spelling doaj-art-3eb622d273f347aa8a80df5c7f720cf02025-08-20T02:57:41ZzhoScience PressHe jishu0253-32192025-01-0148101040401040410.11889/j.0253-3219.2025.hjs.48.2401900253-3219(2025)01-0103-13Fast detection method for radionuclides based on Sequential Bayesian approachWAN Linjian0ZHANG Xuan1ZHANG Chunlei2HUANG Jianwei3LIU Jiacheng4ZHANG Xiaole5LI Dehong6YANG Zhijun7College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, ChinaInstitute of Ionizing Radiation Metrology, National Institute of Metrology, Beijing 100013, ChinaCollege of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, ChinaInstitute of Ionizing Radiation Metrology, National Institute of Metrology, Beijing 100013, ChinaNuclear and Radiation Safety Center, Ministry of Ecology and Environment, Beijing 102400, ChinaInstitute of Ionizing Radiation Metrology, National Institute of Metrology, Beijing 100013, ChinaInstitute of Ionizing Radiation Metrology, National Institute of Metrology, Beijing 100013, ChinaInstitute of Ionizing Radiation Metrology, National Institute of Metrology, Beijing 100013, ChinaBackgroundAppropriate fast detection method for radionuclides is necessary for customs radioactive security inspection with high flow rates and low counting rate levels. Compared with the traditional uncertainty analysis method, the Bayesian method and the Sequential Probability Ratio Test can fully utilize all the information of measured physical quantities and reduce the required sample size.PurposeThis study aims to develop a new method to solve the problem of the fast and accurate detection of radionuclides at low radioactive counting rate scenarios.MethodsA new Sequential Bayesian fast detection method for radionuclides was proposed on the basis of binary hypothesis H0 (no radionuclides) and H1 (radionuclides). Based on the principle that the time interval between adjacent two rays was exponential distributed, the decision was caculated by collecting a series of ray time samples in chronological sequence, and decisions were made by comparing the decision function with the preset upper and lower thresholds. Finally, experimental verifications were conducted on the feasibility, detection performance, and universality of the method by placing a set of standard point sources at different distances from the front of a LaBr3(Ce) detection system in both low and natural radiation background environments. The effects of the key parameters of the method on the detection performance were investigated.ResultsUnder the absence of radionuclides in two type of background radiation environments, the average detection time for background radiation by this method is 24.08 s and 10.54 s, with an average detection sample size of 1 427 and 1 742, respectively. Under the presence of radionuclides in two type of background radiation environments, the lower limits of detection sensitivity of experimental measurements are 8.2% and 6.1%, respectively, the corresponding average detection times were only 8.59 s and 6.61 s respectively, and the experimental measurement false negative rates were all zero.ConclusionsResults of this study verify that above proposed method is very suitable for fast detection of low-level radionuclides.http://www.hjs.sinap.ac.cn/zh/article/doi/10.11889/j.0253-3219.2025.hjs.48.240190/sequential bayesian methodfast detection for radionuclidesbinary hypothesislower limit of detection sensitivity
spellingShingle WAN Linjian
ZHANG Xuan
ZHANG Chunlei
HUANG Jianwei
LIU Jiacheng
ZHANG Xiaole
LI Dehong
YANG Zhijun
Fast detection method for radionuclides based on Sequential Bayesian approach
He jishu
sequential bayesian method
fast detection for radionuclides
binary hypothesis
lower limit of detection sensitivity
title Fast detection method for radionuclides based on Sequential Bayesian approach
title_full Fast detection method for radionuclides based on Sequential Bayesian approach
title_fullStr Fast detection method for radionuclides based on Sequential Bayesian approach
title_full_unstemmed Fast detection method for radionuclides based on Sequential Bayesian approach
title_short Fast detection method for radionuclides based on Sequential Bayesian approach
title_sort fast detection method for radionuclides based on sequential bayesian approach
topic sequential bayesian method
fast detection for radionuclides
binary hypothesis
lower limit of detection sensitivity
url http://www.hjs.sinap.ac.cn/zh/article/doi/10.11889/j.0253-3219.2025.hjs.48.240190/
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AT zhangxuan fastdetectionmethodforradionuclidesbasedonsequentialbayesianapproach
AT zhangchunlei fastdetectionmethodforradionuclidesbasedonsequentialbayesianapproach
AT huangjianwei fastdetectionmethodforradionuclidesbasedonsequentialbayesianapproach
AT liujiacheng fastdetectionmethodforradionuclidesbasedonsequentialbayesianapproach
AT zhangxiaole fastdetectionmethodforradionuclidesbasedonsequentialbayesianapproach
AT lidehong fastdetectionmethodforradionuclidesbasedonsequentialbayesianapproach
AT yangzhijun fastdetectionmethodforradionuclidesbasedonsequentialbayesianapproach