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Experiment and MCNP simulation of a portable tagged neutron inspection system for detection of explosives in a concrete wall

机译:便携式标记中子检测混凝土墙内爆炸物的实验和MCNP模拟

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The Tagged Neutron Method (TNM) widely used in recent years has been applied to detect explosives to fight against terrorism. Because of the existence of a high-density (about 2.5 g/cm(3)) dry concrete wall, neutrons are moderated and gamma-ray are attenuated and absorbed, which causes great interference to the detection of hidden explosives. A movable device has been designed for detection of explosive embedded in a concrete wall by using TNM technique. The experimental set-up was modeled and optimized with the MCNP5 Monte Carlo code. The gamma-ray energy spectrum of graphite sample was firstly collected to calibrate the detection system and verify the validity of the MCNP5 model. Then gamma-ray energy spectra of different samples under different situation are accumulated and compared with the simulation results. The samples of TNT and ammonium nitrate surrogate were placed behind a concrete wall with thickness of 10 cm, 15 cm and 20 cm, respectively. The comparison of the MCNP simulation results with experiment is in a good agreement. The results obtained provide a good reference for the subsequent data acquisition and analysis by using this model.
机译:近年来广泛使用的标记中子法(TNM)已用于检测爆炸物以打击恐怖主义。由于存在高密度(约2.5 g / cm(3))的干燥混凝土墙,中子被缓和,γ射线被衰减和吸收,这对隐藏炸药的检测造成很大的干扰。设计了一种可移动设备,用于使用TNM技术检测埋在混凝土墙中的炸药。实验设置通过MCNP5蒙特卡洛代码进行建模和优化。首先收集了石墨样品的γ射线能谱,以校准检测系统并验证MCNP5模型的有效性。然后累积不同情况下不同样品的γ射线能谱,并将其与仿真结果进行比较。将TNT和硝酸铵替代品样品分别放置在厚度分别为10 cm,15 cm和20 cm的混凝土墙后面。 MCNP模拟结果与实验结果的比较吻合良好。利用该模型可以为后续的数据采集和分析提供良好的参考。

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