宏观噪声方法在铀部件分析中的应用研究

Research on Uranium Components Analysis Based on Macro-noise Analysis Method

深度核裁军涉及到核弹头的认证和鉴别,关键是对核弹头中核部件的认证和鉴别,核弹头中的核部件主要是钚部件和铀部件,那么,对铀部件属性的分析是军控核查技术的重要内容之一。通过分析主动诱发铀部件的裂变反应过程,得到裂变规律,据此,采用计算机仿真主动诱发铀部件的随机脉冲计数信号。使用宏观噪声分析方法处理随机脉冲计数信号,得到仿真数据的自相关函数与互相关函数、功率谱密度与互谱密度及多重性等特征数据,并建立了主动诱发铀部件裂变时间关联信号特性的宏观噪声分析方法,为认证提供了依据。

Depth Nuclear Disarmament relates to identification and discrimination of Nuclear War Head. The key of Depth Nuclear Disarmament is identification and discrimination of Nuclear Components of Nuclear War Head, and Nuclear Components of Nuclear War Head are mainly Plutonium components and Uranium components. So analysis of Uranium components attributes is one of the important contents of arms control verification. By analyzing fission reaction of active induced uranium components, we acquired its fission laws. According the laws, computer simulation was used to actively induce the random pulse counting signal of uranium components. Using macro-noise analysis method to deal with random pulse counting signal, we obtained auto-correlation function, cross-correlation function, auto power spectral densities, cross power spectral densities and multiplicity, and features functions of simulation da- ta. Thus the methodology to the characteristics of fission time correlation signal of active induced uranium components was established with macro-noise analysis.