A Novel Algorithm for Solving the True Coincident Counting Issues in Monte Carlo Simulations for Radiation Spectroscopy
Guan, FD; Johns, JM; Vasudevan, L; Zhang, GQ; Tang, XB; Poston, JW; Braby, LA
刊名HEALTH PHYSICS
2015
卷号108期号:6页码:574—579
英文摘要Coincident counts can be observed in experimental radiation spectroscopy. Accurate quantification of the radiation source requires the detection efficiency of the spectrometer, which is often experimentally determined. However, Monte Carlo analysis can be used to supplement experimental approaches to determine the detection efficiency a priori. The traditional Monte Carlo method overestimates the detection efficiency as a result of omitting coincident counts caused mainly by multiple cascade source particles. In this study, a novel multi-primary coincident counting algorithm was developed using the Geant4 Monte Carlo simulation toolkit. A high-purity Germanium detector for Co-60 gamma-ray spectroscopy problems was accurately modeled to validate the developed algorithm. The simulated pulse height spectrum agreed well qualitatively with the measured spectrum obtained using the high-purity Germanium detector. The developed algorithm can be extended to other applications, with a particular emphasis on challenging radiation fields, such as counting multiple types of coincident radiations released from nuclear fission or used nuclear fuel.
收录类别SCI
语种英语
公开日期2015-12-24
内容类型期刊论文
源URL[http://ir.sinap.ac.cn/handle/331007/24379]  
专题上海应用物理研究所_中科院上海应用物理研究所2011-2017年
推荐引用方式
GB/T 7714
Guan, FD,Johns, JM,Vasudevan, L,et al. A Novel Algorithm for Solving the True Coincident Counting Issues in Monte Carlo Simulations for Radiation Spectroscopy[J]. HEALTH PHYSICS,2015,108(6):574—579.
APA Guan, FD.,Johns, JM.,Vasudevan, L.,Zhang, GQ.,Tang, XB.,...&Braby, LA.(2015).A Novel Algorithm for Solving the True Coincident Counting Issues in Monte Carlo Simulations for Radiation Spectroscopy.HEALTH PHYSICS,108(6),574—579.
MLA Guan, FD,et al."A Novel Algorithm for Solving the True Coincident Counting Issues in Monte Carlo Simulations for Radiation Spectroscopy".HEALTH PHYSICS 108.6(2015):574—579.
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