Phase Retrieval Algorithm based on Total Variation Regularization for Ferromagnetic Domain Patterns
- Press Release
Elucidating magnetic interactions, such as ferromagnetic interaction and anisotropy, is important for improving the performance of magnetic materials and devices. In addition to those intrinsic factors, extrinsic ones such as grain size and grain boundaries also play a significant role in permanent magnets and soft magnetic materials. For capturing such information, a powerful approach is to monitor in detail the temporal evolution of the ferromagnetic domain structure during the magnetization or demagnetization process and then to estimate the determinants of physical properties. For measuring magnetic patterns with high spatio-temporal resolution, single-shot X-ray diffractive imaging is an effective measurement technique. However, it is usually difficult to extract valid physical property information because the measurement data contains errors and missing information. Here, we propose a phase retrieval algorithm based on total variation and L2 regularizations for reconstructing ferromagnetic domain images from the diffraction pattern. The algorithm has been validated on emulated diffraction data, and is expected to be a powerful analysis method for extracting physical property information from the single-shot diffraction data.
Title: "Phase Retrieval Algorithm based on Total Variation Regularization for Ferromagnetic Domain Patterns"
Authors: Yuichi Yokoyama, Yuichi Yamasaki, Masato Okada, and Masaichiro Mizumaki
Publication: Journal of Physical Society of Japan