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Press Releases

DATE2022.09.09 #Press Releases

Successful automatic analysis of Mössbauer spectrum by Bayesian inference

Disclaimer: machine translated by DeepL which may contain errors.

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Graduate School of Frontier Sciences, The University of Tokyo

Graduate School of Science, The University of Tokyo

Japan Synchrotron Radiation Research Institute

Overview

The Graduate School of Frontier Sciences, The University of Tokyo, Graduate School of Science, and Japan Synchrotron Radiation Research Institute (JASRI), in collaboration with the National Institute for Materials Science, have succeeded in developing the basic principle of a new analytical method for automatically estimating parameters that evaluate chemical states such as valence and coordination state and magnetic properties in Mössbauer spectra, which are widely used to evaluate properties of iron-containing compounds and alloys. The new method is based on the basic principles of Mössbauer spectroscopy, which is widely used to evaluate the chemical and magnetic properties of iron-containing compounds and alloys.

With the development of this method, even researchers and engineers with limited experience in Mössbauer spectroscopy will be able to analyze spectra. It has also paved the way toward automation in the spectral analysis of nuclear magnetic resonance and perturbed nuclear correlation methods.

The results of this research were presented by Mr. Mukuta Moriguchi, a second-year master's student in the Department of Physics at the Graduate School of Science of The University of Tokyo; Assistant Professor Shun Katagami and Professor Masato Okada (concurrently in charge of the Department of Complexity Science and Engineering at the Graduate School of Frontier Sciences); Coordinator Tomotsugu Tsutsui of the Japan Synchrotron Radiation Research Institute; Coordinator Jinichiro Mizumaki of the Japan Synchrotron Radiation Research Institute; and Coordinator of the Japan Synchrotron Radiation Research Institute (JASRI), Tomotsugu Tsutsui, Hitokichiro Mizumaki, and Senior Staff, Kenji Nagata of the National Institute for Materials Science (NIMS).

Figure: Results of automatic analysis using Mössbauer spectra and Bayesian estimation

For more information, please visit the website of Graduate School of Frontier Sciences, The University of Tokyo.