Prof. Kanta Ono @Osaka Univ. gave us a series of lectures on Dec. 5 and 12, 2022. The first half was about Synchrotron radiation and Spectroscopy, X-ray spectroscopy and x-ray microscopy, and the later half was about data science applied to the measurement technique and the data analysis. The contents in the data science part were what I wanted to learn but I didn't know where I could get. The talk was about "before the text-book was published"-type field in its infancy. It was so inspiring. I made a memo here for my own.
Questions on the fundamental meaning of "data", "measurement", "looks like", "distance".
The data science was used to "Construct time-economical measurement", "data fitting", "extracting physics from the data".
There are overwhelming numbers of very important papers about spectroscopy- data science from Prof. Ono's group. The list below is just a part of the papers from Prof. Ono group.
Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling
T. Ueno et al., npj compt. Mater. 4, 4 (2018)
Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling
Tetsuro Ueno, Hideitsu Hino, Ai Hashimoto, Yasuo Takeichi, Masahiro Sawada & Kanta Ono
npj Computational Materials volume 4, Article number: 4 (2018)
Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation
Kotaro Saito, Masao Yano, Hideitsu Hino, Tetsuya Shoji, Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Joachim Kohlbrecher & Kanta Ono
Scientific Reports volume 9, Article number: 1526 (2019)
Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures
Yuta Suzuki, Hideitsu Hino, Masato Kotsugi & Kanta Ono npj Computational Materials volume 5, Article number: 39 (2019)
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach
Yuta Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi & Kanta Ono Scientific Reports volume 10, Article number: 21790 (2020)
Automated crystal structure analysis based on blackbox optimisation
Yoshihiko Ozaki, Yuta Suzuki, Takafumi Hawai, Kotaro Saito, Masaki Onishi & Kanta Ono
npj Computational Materials volume 6, Article number: 75 (2020)
Automated stopping criterion for spectral measurements with active learning
Tetsuro Ueno, Hideaki Ishibashi, Hideitsu Hino & Kanta Ono npj Computational Materials volume 7, Article number: 139 (2021)
Physicists need to have fundamental knowledge of the machine learning. The basic textbook is the yellow book.