Presentation Information
[PC6-05]Fine Tuning of the Inverse Filter for Three-Dimensional Scanning SQUID Microscope
*Masahiko Hayashi1, Takekazu Ishida2, Hiroaki Shishido2, The Dang Vu2, Shuichi Kawamata2 (1. Akita Univ. (Japan), 2. Osaka Metropolitan Univ. (Japan))
Keywords:
SQUID,scanning SQUID microscopy,numerical image processing
In order to improve the resolution of scanning SQUID microscopes, the complex demagnetizing effects caused by the coil's shape must be taken into account. We have previously demonstrated that an inverse transform filter, which takes into account the exact geometry of the coil, can improve resolution beyond the apparent resolution limit of the coil radius.1) Furthermore, in a series of studies, we developed a numerical method for efficiently calculating the demagnetizing fields of the coils with three-dimensional (3D) structures and successfully simulated the vector magnetic field images observed by 3D coils.2,3) Our further problem is that the inversion filter for a 3D coil requires a large amount of data to quantify the shape of the coil, resulting in a high computational load during the inverse transform process.
In this study, we create an inverse transform filter that takes into account realistic three-dimensional coil shapes4) and perform image transformation. We estimate the efficiency of the current algorithm by comparing its numerical results with experimental data. We also report on a reduction in computational load by adaptively changing the degree of discretization of the coil according to the detailed coil shape.
References 1) M. Hayashi, H. Ebisawa, H. T. Huy, and T. Ishida, Appl. Phys. Lett. 100, 182601 (2012). 2) Masahiko Hayashi, Takekazu Ishida, Hiroaki Shishido, The Dang Vu, Shuichi Kawamata, J. Phys.: Conf. Ser. 2276,012001 (2024). 3) Masahiko Hayashi, Yasunari Tanuma, Takekazu Ishida, Hiroaki Shishido, The Dang Vu and Shuichi Kawamata, J. Phys.: Conf. Ser. 3054 012006 (2025). 4) T. D. Vu, T. H. Ho, S. Miyajima, M. Toji, Y. Ninomiya, H. Shishido, M. Maezawa, M. Hidaka, M. Hayashi, S. Kawamata and T. Ishida, Supercond. Sci. Technol. 32, 115006 (2019).
In this study, we create an inverse transform filter that takes into account realistic three-dimensional coil shapes4) and perform image transformation. We estimate the efficiency of the current algorithm by comparing its numerical results with experimental data. We also report on a reduction in computational load by adaptively changing the degree of discretization of the coil according to the detailed coil shape.
References 1) M. Hayashi, H. Ebisawa, H. T. Huy, and T. Ishida, Appl. Phys. Lett. 100, 182601 (2012). 2) Masahiko Hayashi, Takekazu Ishida, Hiroaki Shishido, The Dang Vu, Shuichi Kawamata, J. Phys.: Conf. Ser. 2276,012001 (2024). 3) Masahiko Hayashi, Yasunari Tanuma, Takekazu Ishida, Hiroaki Shishido, The Dang Vu and Shuichi Kawamata, J. Phys.: Conf. Ser. 3054 012006 (2025). 4) T. D. Vu, T. H. Ho, S. Miyajima, M. Toji, Y. Ninomiya, H. Shishido, M. Maezawa, M. Hidaka, M. Hayashi, S. Kawamata and T. Ishida, Supercond. Sci. Technol. 32, 115006 (2019).