使用稀疏度利用高角度分辨率的纹理断层扫描
Mads Carlsen1, Florencia Malamud1, Peter Modregger2,3
1Paul Scherrer Institut 5232 Villigen PSI Switzerland.
概括
这项研究提出了一种用于从复杂材料中重建X射线衍射断层扫描数据的新方法. 这种方法使得微观结构的详细3D映射成为可能,即使在像射击-peened martensite这样具有挑战性的样本中也是如此.
科学领域:
- 材料科学 材料科学 材料科学
- 晶体学 晶体学是指结晶学.
- 数据科学数据科学数据科学
背景情况:
- 扫描探头X射线衍射断层扫描对于分析材料微观结构至关重要.
- 从具有稀疏纹理的异型多晶样品中重建数据存在重大挑战.
- 现有的方法经常与含有小,高度马赛克晶体域的样本作斗争.
研究的目的:
- 开发一种用于扫描探头X射线衍射断层扫描数据的新型重建方法.
- 为了在3D批量样本中实现定向分布函数的稳定,高分辨率的映射.
- 克服现有方法的局限性,特别是对于纹理稀疏和马赛克微观结构的样品.
主要方法:
- 重建一个包含每个voxel的方向分布函数的voxel地图.
- 在定向空间中利用非负性,对稀疏纹理具有特定的基础函数.
- 避免传统的峰值寻找步骤,使该方法适用于具有挑战性的晶体结构.
主要成果:
- 在高角度分辨率下实现稳定解决方案,即使在未确定的场景中.
- 成功地绘制了在一颗被喷涂的马石样本内部的结合微观结构.
- 已证明适用于具有马赛克微观结构的类,只需要单个旋转轴.
结论:
- 开发的方法为X射线衍射断层断层扫描数据重建提供了一个强大的方法.
- 它有效地处理异型多晶样品,并利用纹理稀疏性进行高效的数据采集.
- 这种技术扩大了分析散装材料中的复杂微观结构的能力,而无需解决单个格子域.
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