基于中子活化分析的水下化学威胁探测系统的蒙特卡罗N粒子模拟
Monte Carlo N-Particle simulations of an underwater chemical threats detection system using neutron activation analysis
摘要：
在本文中，我们提出了蒙特卡罗N粒子（MCNP）模拟系统的水下威胁探测中子活化分析在SABAT项目开发。模拟系统是基于D-T中子发生器发射14 MeV的中子，没有相关的$α$粒子探测和配备的LaBr $_3$：Ce闪烁探测器提供卓越的能量分辨率，并允许精确识别的激活$γ$量子。进行的模拟表明，使用中子活化分析方法与设计的几何形状，我们能够识别$γ$ -射线从氢，碳，硫和氯源自芥子气在海水环境中。我们的研究结果表明，芥子气检测的最有效的方法是比较的积分峰比的Cl和H。
英文摘要：
In this paper we present Monte Carlo N-Particle (MCNP) simulations of the system for underwater threat detection using neutron activation analysis developed in the SABAT project. The simulated system is based on a D-T neutron generator emitting 14~MeV neutrons without associated $α$ particle detection and equipped with a LaBr$_3$:Ce scintillation detector offering superior energy resolution and allowing for precise identification of activation $γ$ quanta. The performed simulations show that using the neutron activation analysis method with the designed geometry we are able to identify $γ$-rays from hydrogen, carbon, sulphur and chlorine originating from mustard gas in a sea water environment. Our results show that the most efficient way of mustard gas detection is to compare the integral peak ratio for Cl and H.
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