Joint machine learning analysis of muon spectroscopy data from different materials
Joint machine learning analysis of muon spectroscopy data from different materials
Abstract 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 it usually outperforms humans. Here we applied a simple ML tool called principal component …