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核能谱模拟的正态组合实现方法 被引量:4

Realization Method Based on Normality Combination in Nuclear Spectrum Simulation
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摘要 结合核能谱的随机特性,探讨了核能谱的正态组合模拟方法。该方法将核能谱分解为正态分布函数的组合,进而转化为参数化模型,并对正态组合函数进行随机抽样以模拟原始能谱。该方法可以灵活地调整正态函数的个数和各正态函数的标准偏差,以满足模拟中对谱线平滑度、准确度的不同要求,是一种效果较好的参数化模拟方法。 According to the random characteristic of nuclear spectrum, the paper discussed the simulation method based on normality combination in nuclear spectrum simulation. The main idea for this method is to decompose the nuclear spectrum into several normal distribution functions, transform the nuclear spectrum into parametric model, and simulate the original spectrum by random sampling of normality combination function. The standard deviation value and the number of normality function can be adjusted flexibly to satisfy the different spectral line demands of smoothness and accuracy in simulation by this method which is a parametric simulation method with better effect. simulation
出处 《核电子学与探测技术》 CAS CSCD 北大核心 2010年第2期250-253,共4页 Nuclear Electronics & Detection Technology
基金 国家教育部博士点基金资助(20060616010)
关键词 核能谱 正态组合 模拟 nuclear spectrum, normality combination,
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参考文献5

  • 1卢希庭.原子核物理[M].北京:原子能出版社,1980.
  • 2黄洪全,方方,龚迪琛,周伟.呈任意能量分布的核信号模拟[J].核技术,2009,32(11):854-858. 被引量:13
  • 3D.H.Lehmer.Mathematical methods in largescal computing units,Proc.Sym.on largescal digital calcul.machinery,Harvard Univ.Press,141(1951).
  • 4中国原子能科学研究院蒙特卡罗方法组.蒙特卡罗方法及其应用讲义[C].1981.
  • 5H.Kahn.Applications of Monte Karlo[M].AECU-3259,1954.

二级参考文献7

共引文献17

同被引文献17

  • 1向东,郭兰英.γ能谱的蒙特卡罗模拟[J].数理医药学杂志,2006,19(3):229-231. 被引量:16
  • 2袁礼海,李钊,宋建社.利用高斯混合模型实现概率密度函数逼近[J].无线电通信技术,2007,33(2):20-22. 被引量:16
  • 3马玉刚,周银行,赵广义,马纯辉,杨比鸣.NaI(Tl)探测γ能谱的MCNP模拟[J].吉林大学学报(理学版),2007,45(3):451-454. 被引量:14
  • 4H.Kahn.Applications of Monte Karlo[M].AECU-3259,1954.
  • 5D.H.Lehrner.Mathematical mcthods in largescal computing units,Proc.Sym on largescal digital calcul.machinery,Harvard Univ.Press,141(1951).
  • 6BOGGESS A,NARCOWICH F J.小波与傅里叶分析基础[M].芮国胜,康健,译.北京:电子工业出版社,2005.
  • 7GEMAN D,REYNOLDS G.Constrained restoration and the recovery of discontinuities[J].IEEE Transation Pattern Analysis and Machine Intelligence,1992,14(3):367-383.
  • 8MALLAT S,HWANG W L.Singularity detection and processing with wavelets[J].IEEE Trans Inf Theory,1992,38(2):612-643.
  • 9DONOHO D L,JOHNSTONE I M.Ideal spatial adaptation via wavelet shrinkage[J].Biometrika,1994,81(3):425-455.
  • 10Bilmes J.A Gentle Tutorial of the EM Algoritlun and Its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models[R].Department of Electrical Engineeringand Computer Science,U C Berkeley,TR-97-021,1998:1-13.

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