2022/05/03 by Ryota Moriguchi, Satoshi Tsutsui, Moriguchi, Ryota +9
Mathematics · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Crystallography and Radiation Phenomena #Data Analysis #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Model Reduction and Neural Networks #Numerical methods in inverse problems #Statistics and Probability (physics.data-an)
paper · pdf · doi:10.48550/arxiv.2205.09188
openalex publication_date 2022/05/03 · openalex created_date 2022/11/06 · openalex updated_date 2026/07/28
Mössbauer spectroscopy, which provides knowledge related to electronic states in materials, has been applied to various fields such as condensed matter physics and material sciences. In conventional spectral analyses based on least-square fitting, hyperfine interactions in materials have been determined from the shape of observed spectra. In conventional spectral analyses, it is difficult to discuss the validity of the hyperfine interactions and the estimated values. We propose a spectral analysis method based on Bayesian inference for the selection of hyperfine interactions and the estimation of Mössbauer parameters. An appropriate Hamiltonian has been selected by comparing Bayesian free energy among possible Hamiltonians. We have estimated the Mössbauer parameters and evaluated their estimated values by calculating the posterior distribution of each Mössbauer parameter with confidence intervals. We have also discussed the accuracy of the spectral analyses to elucidate the noise intensity dependence of numerical experiments.