摘要
根据核信号在时间、幅度上的统计特性,以伪均匀随机数为基础,通过反函数法产生服从指数分布随机数,用以满足核信号在时间上的统计特性。采用蒙特卡罗直接抽样方法对实际核能谱图的抽样模拟,实现对核能谱曲线的数字化,得到的能级随机数用以满足核信号在幅度上的统计特性。基于Matlab开发环境对核信号衰变过程进行模拟,并反演得到了与原实际能谱图相同的能谱曲线。应用结果表明:实现了核信号同时在时间、幅度上的随机及统计特性,有效地完成了仿核信号发生器的设计。
According to the statistical features of nuclear signals in time and amplitude field, in order to meet the statistical properties of nuclear signal in time, the random number is generated through the inverse function method, based on the pseudo uniform random number technique. This research uses Monte Carlo direct sam- pling method to simulate the nuclear power spectrum curve. From a measured spectrum, each energy point cor- responds to certain random number, from a random number an energy point is obtained meeting the nuclear sig- nal on the amplitude of statistical properties. Development environment based on Matlab to simulate the process of nuclear signal decay, and it is the same with the original actual energy spectrum diagram of inversion. From the simulation results, this research has realized the nuclear signal digital process for random and statistical properties in amplitude and time field, effectively completed the imitation of nuclear signal generator.
出处
《核电子学与探测技术》
CAS
北大核心
2015年第12期1187-1192,共6页
Nuclear Electronics & Detection Technology
基金
国家自然科学基金项目(41404108)资助
关键词
均匀分布
指数分布
蒙特卡罗方法
核能谱模拟
核信号发生器
uniform distribution
exponential distribution
Monte Carlo method
nuclear energy spectrum simulation
nuclear signal generator