一个基于CdZnTe光子计数探测器的新型多维煤炭和带X射线分类算法
Yang Kang1, Rui Wu1, Peizheng Li1
1State Key Laboratory of Solidification Processing, and MIIT Key Laboratory of Radiation Detection Materials and Devices, Northwestern Polytechnical University, Xi'an, China.
Journal of X-ray science and technology
|January 8, 2024
概括
使用光子计数探测器的新型多维X射线分类算法显著提高了煤炭和道分离的准确性,达到99%,超过了以前用于更清洁煤炭生产的方法.
科学领域:
- 材料科学 材料科学 材料科学
- 分析化学 分析化学
- 采矿工程 采矿工程 采矿工程
背景情况:
- 煤中的含量降低了燃烧热量,实际应用需要完全分离.
- 现有的伪双能X射线方法缺乏必要的分类精度,以有效地去除.
研究的目的:
- 开发一种新的多维X射线分类算法,以改进煤炭和带分离.
- 解决目前使用CdZnTe光子计数探测器的X射线分类技术的局限性.
主要方法:
- 拟议的算法涉及五个步骤:首选的能量分类,传导率分类和代的R值分类 (1D,2D,3D).
- 算法参数使用65个煤炭和样品确定,并对110个额外的样品进行实验验证.
主要成果:
- 新的多维算法实现了99%的分类精度.
- 这比伪双能X射线方法的60%准确度有了显著的改进.
结论:
- 开发的算法证明了煤炭和道分类的卓越性能和实际可行性.
- 这种基于光子计数探测器的方法可以为其他两种物质的X射线分类应用提供信息.
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