用BIXS定量估算钨样品表层和大块中的氚含量

Yang Yang, Zhilin Chen, Po Huang, Shenghan Cheng, Wenxiang Jiang
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引用次数: 0

摘要

聚变堆关键材料中表面氚和散装氚的估算对氚安全和氚污染材料的管理具有重要意义。为了进一步定量分析固体中的氚,基于蒙特卡罗模拟计算了详细的BIXS光谱。考虑了四种类型的氚深度剖面来评价定量估算方法。研究发现,X射线在钨中的衰减取决于X射线的能量和深度。对表层氚含量的评估表明,在大多数情况下,Ar(Kα)峰的强度可以用来评估距离表面400nm以内的表面氚,计算中的偏差小于9%。W(Lα)X射线和高能X射线的强度可以用来粗略估计氚的总量。对于线性递减和指数递减分布,最大计算偏差分别为24.9%和28.8%。而对于高斯分布,最大偏差分别为146%和53%。它也可用于其他材料中氚的估算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative estimation of tritium amount in surface layer and bulk of tungsten sample using BIXS

Estimation of both the surface tritium and tritium in bulk in key materials of fusion reactors is of great importance for tritium safety and the management of tritium-contaminated material. For the further quantitative analysis of tritium in solids, the elaborate BIXS spectra were calculated based on Monte Carlo simulation. Four types of tritium depth profile were considered to evaluate the quantitative estimation method. It is found that the attenuation of X-rays in tungsten depends on both the energy of X-rays and the depth of X-rays. The evaluation of tritium amount in surface layer indicated that the intensity of Ar(Kα) peak could be used to evaluate the surface tritium within 400 nm from the surface in most cases and the deviations were less than 9% in the calculation. The intensity of both W(Lα) X-rays and the high energy X-rays can be employed to roughly estimate the total tritium amount. For linearly decreasing and exponentially decreasing distribution, the maximum calculation deviations were 24.9% and 28.8%, respectively. While for Gaussian distribution, the maximum deviations were 146% and 53%, respectively. And it can also be used for tritium estimation in other materials.

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