On Strong Scaling Open Source Tools for Mining Atom Probe Tomography Data

On Strong Scaling Open Source Tools for Mining Atom Probe Tomography Data
复制标题

用于挖掘原子探针断层扫描数据的强大可扩展开源工具

DOI:
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发表时间:
2019
影响因子:
2.8
通讯作者:
B. Gault
B. Gault
中科院分区:
工程技术4区
文献类型:
--
作者:
Markus Kühbach;P. Bajaj;A. Breen;E. Jägle;B. Gault

文献摘要

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原子探针断层扫描(APT)社区对准确有效的开源工具的需求越来越大,这些工具用于评估越来越大的实验数据集的质量和内容,并结合对开源可重复方法的心态变化[1]。APT是一种显微镜和微量分析技术,它以点云的形式产生数据集,这些点云表示纳米级材料的体积,并具有每个离子的位置和化学信息。这些信息允许表征微观结构并描绘其进化机制的快照。目前,存在两种软件工具选项:一种是IVAS [2],集成可视化和分析软件,功能丰富的图形前端解决方案;另一种是补充选项,是功能不太多样化的脚本,但尖端的概念验证工具,由实验者[3,4]开发,主要像IVAS一样,使用顺序算法和实现。IVAS是专有的,不能交叉兼容地执行,并且是封闭源代码的,这对严格的功能验证和扩展构成了有效的障碍。相比之下,这些单独的专用工具的源代码通常是开放的,它们采用完全透明的算法,从而修补和补充IVAS中缺少的功能。随着增加
There is an increasing demand in the atom probe tomography (APT) community for accurate and efficient open source tools for assessing the quality and content of increasingly large experimental datasets, combined with a mindset change towards open source reproducible methods [1]. APT is a microscopy and microanalysis technique which produces datasets in the form of point clouds representing a material’s volume at the nanoscale with positional and chemical information for each ion. This information allows to characterize microstructures and portray snapshots of their evolutionary mechanisms. Currently, two software tool options exists: one is IVAS [2], the Integrated Visualization and Analysis Software, a functionally rich graphical front end solution; the other, complementary option, are scripts that are less functionally diverse, but cutting-edge proof-of-concept tools, developed by experimentalists [3,4] and primarily, like IVAS, using sequential algorithms and implementations. IVAS is proprietary, not cross-compatibly executable, and closed source which poses an effective barrier to rigorous functional verification and extension. In contrast, the source code to these individual, ad-hoc tools is usually open, they employ fully transparent algorithms and thus patch and complement functionalities that are missing in IVAS. With increasing