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Ion beam analysis and big data: How data science can support next-generation instrumentation
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms ( IF 1.3 ) Pub Date : 2020-06-10 , DOI: 10.1016/j.nimb.2020.05.027
Tiago F. Silva , Cleber L. Rodrigues , Manfredo H. Tabacniks , Hugo D.C. Pereira , Thiago B. Saramela , Renato O. Guimarães

With a growing demand for accurate ion beam analysis on a large number of samples, it becomes an issue of how to ensure the quality standards and consistency over hundreds or thousands of samples. In this sense, a virtual assistant that checks the data quality, emitting certificates of quality, is highly desired. Even the processing of a massive number of spectra is a problem regarding the consistency of the analysis. In this work, we report the design and first results of a virtual layer under implementation in our laboratory. It consists of a series of systems running in the cloud that perform the mentioned tasks and serves as a virtual assistant for member staff and users. We aim to bring the concept of the Internet of Things and artificial intelligence closer to the laboratory to support a new generation of instrumentation.



中文翻译:

离子束分析和大数据:数据科学如何支持下一代仪器

随着对大量样品进行精确离子束分析的需求不断增长,如何确保成百上千个样品的质量标准和一致性成为一个问题。从这个意义上讲,非常需要一种检查数据质量并发出质量证书的虚拟助手。就分析的一致性而言,即使是处理大量光谱也是一个问题。在这项工作中,我们报告了在实验室中正在实施的虚拟层的设计和初步结果。它由运行在云中的一系列系统组成,这些系统执行上述任务,并充当成员人员和用户的虚拟助手。我们旨在使物联网和人工智能的概念更接近实验室,以支持新一代仪器。

更新日期:2020-06-10
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