Joint machine learning analysis of muon spectroscopy data from different materials
(2022)
Journal Article
Tula, T., Möller, G., Quintanilla, J., Giblin, S., Hillier, A., McCabe, E., Ramos, S., Barker, D., & Gibson, S. (2022). Joint machine learning analysis of muon spectroscopy data from different materials. Journal of Physics: Conference Series, 2164, Article 012018. https://doi.org/10.1088/1742-6596/2164/1/012018
Machine learning (ML) methods have proved to be a very successful tool in physical sciences, especially when applied to experimental data analysis. Artificial intelligence is particularly good at recognizing patterns in high dimensional data, where i... Read More about Joint machine learning analysis of muon spectroscopy data from different materials.