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CN 34-1054/N

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Open AccessOpen Access JUSTC Original Paper

Application of a sliding-window data accumulation algorithm for improving security in radiant intensity detection systems

  • School of Electronic Information & Engineering, Anhui University, Hefei 230601,China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2015.01.009
  • Received Date: 11 January 2014
  • Accepted Date: 05 August 2014
  • Rev Recd Date: 05 August 2014
  • Publish Date: 30 January 2015
    Abstract

  • Abstract

    Improving measure accuracy and system security of nuclear instruments is of great importance. In general, improving accuracy will cause a decrease in system security and response speed. So a new sliding-window accumulation algorithm was given, which could improve measurement accuracy in radiant intensity detection, and the system security and response speed remain largely unchanged at the same time. A detailed algorithm analysis based on Monte Carlo method was presented, which indicated the scope of application of the algorithm.

    Abstract

    Improving measure accuracy and system security of nuclear instruments is of great importance. In general, improving accuracy will cause a decrease in system security and response speed. So a new sliding-window accumulation algorithm was given, which could improve measurement accuracy in radiant intensity detection, and the system security and response speed remain largely unchanged at the same time. A detailed algorithm analysis based on Monte Carlo method was presented, which indicated the scope of application of the algorithm.
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    • References(15)
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    [3]
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    Bedogni R, Esposito A, Angelone M, et al. Determination of the response to photons and thermal neutrons of new LiF based TL materials for radiation protection purposes[C]// Proceeding of the International Conference on Nuclear Science Symposium Conference Record. Fajardo, Puerto Rico: IEEE Press, 2005: 478-481.
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    徐克尊. 粒子探测技术[M]. 上海: 上海科学技术 出版社, 1981.
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    吴治华,赵国庆等. 原子核物理实验方法[M]. 北 京: 原子能出版社,1997.
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    李国梁. 核放射强度分布的在线测量[J]. 电子测 量技术, 2012, 35(10): 50-58.
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    Kolmogorov A N. On tables of random numbers[J]. Theoretical Computer Science, 1998, 207(2): 387-395.
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    Atanassov E, Dimov I T. What Monte Carlo models can do and cannot do efficiently[J]. Applied Mathematical Modelling, 2008, 32(8): 1 477-1 500.
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    Dunn W L, Shultis J K. Monte Carlo methods for design and analysis of radiation detectors[J]. Radiation Physics and Chemistry, 2009, 78: 852-858.
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    Proykova A. How to improve a random Number generator[J]. computer physics communication, 2000, 124(2-3): 125-131.
    [12]
    陈松涛. Monte-Carlo法在测量不确定度评定中的应用[J]. 仪器仪表学报, 2004, 25(4): 501-504.
    [13]
    许淑艳, 刘保杰, Li Qin. 核技术应用研究中的蒙特卡罗计算问题[J]. 核技术, 2007, 30(7): 597-600.
    [14]
    吴瑞生, 周中平, 任枕海. KD-421γ射线微机产量计工作原理[J]. 核电子学与探测技术, 2000, 20(2): 96-98, 111.
    [15]
    Li Zhengping, Wu Ruisheng, Yin Zejie, et al. Design of mud density meter using Monte Carlo method[J]. Journal of University of Science and Technology of China, 2005,35(5): 639-644.
    李正平, 吴瑞生, 阴泽杰, 等. Monte Carlo方法设计的泥浆密度测试系统[J]. 中国科学技术大学学报, 2005, 35(5): 639-644.
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    [1]
    梁石强.核仪器在土建工程中应用的辐射防护和安全管理[J].核电子学与探测技术,1992,12(3):167-172.
    [2]
    杨植宗, 邓磊, 喻莉, 等. 核辐射及其安全防护[J]. 物理通报, 2012, (2): 117-120.
    [3]
    陈桂明,阳能军,董振旗,等.一种新型核辐射防护材料的设计与应用研究[J].核技术,2003,26(10):783-788.
    [4]
    Bedogni R, Esposito A, Angelone M, et al. Determination of the response to photons and thermal neutrons of new LiF based TL materials for radiation protection purposes[C]// Proceeding of the International Conference on Nuclear Science Symposium Conference Record. Fajardo, Puerto Rico: IEEE Press, 2005: 478-481.
    [5]
    徐克尊. 粒子探测技术[M]. 上海: 上海科学技术 出版社, 1981.
    [6]
    吴治华,赵国庆等. 原子核物理实验方法[M]. 北 京: 原子能出版社,1997.
    [7]
    李国梁. 核放射强度分布的在线测量[J]. 电子测 量技术, 2012, 35(10): 50-58.
    [8]
    Kolmogorov A N. On tables of random numbers[J]. Theoretical Computer Science, 1998, 207(2): 387-395.
    [9]
    Atanassov E, Dimov I T. What Monte Carlo models can do and cannot do efficiently[J]. Applied Mathematical Modelling, 2008, 32(8): 1 477-1 500.
    [10]
    Dunn W L, Shultis J K. Monte Carlo methods for design and analysis of radiation detectors[J]. Radiation Physics and Chemistry, 2009, 78: 852-858.
    [11]
    Proykova A. How to improve a random Number generator[J]. computer physics communication, 2000, 124(2-3): 125-131.
    [12]
    陈松涛. Monte-Carlo法在测量不确定度评定中的应用[J]. 仪器仪表学报, 2004, 25(4): 501-504.
    [13]
    许淑艳, 刘保杰, Li Qin. 核技术应用研究中的蒙特卡罗计算问题[J]. 核技术, 2007, 30(7): 597-600.
    [14]
    吴瑞生, 周中平, 任枕海. KD-421γ射线微机产量计工作原理[J]. 核电子学与探测技术, 2000, 20(2): 96-98, 111.
    [15]
    Li Zhengping, Wu Ruisheng, Yin Zejie, et al. Design of mud density meter using Monte Carlo method[J]. Journal of University of Science and Technology of China, 2005,35(5): 639-644.
    李正平, 吴瑞生, 阴泽杰, 等. Monte Carlo方法设计的泥浆密度测试系统[J]. 中国科学技术大学学报, 2005, 35(5): 639-644.
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