Back to Search Start Over

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

Authors :
Silva, Tiago F.
Rodrigues, Cleber L.
Tabacniks, Manfredo H.
Pereira, Hugo D. C.
Saramela, Thiago B.
GuimarĂ£es, Renato O.
Source :
Nuclear Inst. and Methods in Physics Research B 478 (2020) 111-115
Publication Year :
2022

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.<br />Comment: 9 pages, 4 figures, 2019 Ion Beam Analysis Conference

Details

Database :
arXiv
Journal :
Nuclear Inst. and Methods in Physics Research B 478 (2020) 111-115
Publication Type :
Report
Accession number :
edsarx.2205.05680
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.nimb.2020.05.027