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

TL;DR

This paper discusses how data science, including AI and IoT, can enhance ion beam analysis by ensuring data quality and consistency across large sample sets through a cloud-based virtual assistant.

Contribution

It introduces a novel virtual layer system that leverages cloud computing, AI, and IoT concepts to support quality control and analysis consistency in ion beam analysis laboratories.

Findings

Initial implementation shows promise in automating data quality checks.

The system improves analysis consistency across large datasets.

It integrates AI and IoT to support next-generation instrumentation.

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.