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arXiv · 2205.05680

Ion beam analysis and big data: How data science can support next-generation instrumentation

Tiago F. Silva·Cleber L. Rodrigues·Manfredo H. Tabacniks·Hugo D. C. Pereira·Thiago B. Saramela·Renato O. Guimarães
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Abstract

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.

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Tiago F. Silva, Cleber L. Rodrigues, Manfredo H. Tabacniks, Hugo D. C. Pereira, Thiago B. Saramela, Renato O. Guimarães. 2022-05-10. Ion beam analysis and big data: How data science can support next-generation instrumentation. https://doi.org/10.1016/j.nimb.2020.05.027

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