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Neutron Imaging With Lithium Indium Diselenide Semiconductors

机译:中子成像与铟inelenide半导体

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Lithium indium diselenide (LISe) semiconductors, enriched to 95% 6Li, exhibits a very high neutron detection efficiency per unit thickness and the potential for fast timing. However, the range of the secondary alpha and triton particles from neutron absorption limits the spatial resolution to ~34 µm. To overcome the limited spatial resolution of LISe-based neutron imagers, we have developed a modified η-function to identify the location of neutron absorption using a double-sided strip design. The modified η-function consists of training data from the simulated response across the strip electrodes for any interaction location and emission angle of the secondary charged particles. The current machine learning technique utilized is the coarse and fine regression trees. The η-function is tested using MCNP simulations, which shows that we are approaching our targeted 5 µm spatial resolution.
机译:锂铟五烯化铟(淫)半导体,富集至95% 6 Li每单位厚度表现出非常高的中子检测效率和快速定时的可能性。然而,中子吸收中的次级α和氚核颗粒的范围限制了空间分辨率至约34μm。为了克服Liens基中子成像仪的有限空间分辨率,我们开发了一种改进的η - 函数,用于使用双面条形设计来识别中子吸收的位置。修改的η函数包括训练数据来自跨条电极的模拟响应,用于次级带电粒子的任何相互作用位置和发射角度。利用当前的机器学习技术是粗糙和精细的回归树。使用MCNP模拟测试η函数,这表明我们正在接近我们的目标5μm空间分辨率。

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