【摘要】 设计一种基于标记中子方法的爆炸物检测系统,采用ING-27型中子发生器与硅酸钇镥闪烁晶体(LYSO)γ探测器进行探测,并基于序贯概率比检验(SPRT)方法判别爆炸物.通过对干奶粉、硝铵(AMM)和TNT模拟物进行检测,分析计算测量γ能谱数据中C,N,O三种元素的特征峰,将所得概率比结果与相应的设定阈值ln A和ln B进行比较.结果表明,SPRT方法可应用于爆炸物检测.更多还原

【Abstract】 The explosive detection system based on tagged neutron method was designed.The system used the ING-27 neutron generator and the LYSO γdetector for detection.The explosives were distinguished based on sequential probability ratio test(SPRT)method.The characteristic peaks of C,N,and O elements were analyzed and calculated in the measuredγenergy spectrum data of milk powder,ammonium nitrate(AMM)and TNT simulators.The probability ratio results were compared with the corresponding thresholds ln Aand ln B.The results show that the SPRT method can be applied to the explosive decision.更多还原