PC1-6

Numerical Analysis of Vector Scanning-SQUID Microscope with Multiple Pickup Coils

11:45-12:00 Dec.3

*Masahiko Hayashi1, Takekazu Ishida2, Hiroaki Shishido3, The Dang Vu2, Shuichi Kawamata2
Faculty of Education and Human Studies, Akita University, Akita 010-8502, Japan1
Division of Quantum and Radiation Engineering, Osaka Metropolitan University, Sakai, Osaka 599-8570, Japan2
Equipment Sharing Center for Advanced Research and Innovation, Osaka Metropolitan University, Sakai, Osaka 599-8531, Japan3
Abstract Body

Aiming to improve the efficiency and resolution of the scanning SQUID microscope, the present authors have fabricated a vector pickup sensor, which consists of three independent coils measuring the magnetic flux in x-, y-, and z-direction simultaneously [1]. In the previous work, to eliminate the image blur caused by the size of the pickup coil, we applied a numerical image processing method [2] to a simplified three-dimensional pickup coil model [3].

In this work, we extend the above method to analyze a more realistic pick-up coil model, taking into account the geometry and dimensions of the actual sensor (Fig.1). We have paid particular attention to the effects of the superconductivity in the sensor body, since it modifies the magnetic flux to be measured. We discuss how the magnetic flux of the sample is visualized by our system, and a numerical method for recovering the actual magnetic flux image is presented.

References

[1] 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).

[2] M. Hayashi, H. Ebisawa, H. T. Huy, and T. Ishida, Appl. Phys. Lett. 100, 182601 (2012).

[3] Masahiko Hayashi, Takekazu Ishida, Hiroaki Shishido, The Dang Vu, Shuichi Kawamata J. Phys.: Conf. Ser. 2776,012001 (2024).

Acknowledgment

This work is partially supported by Grants-in-Aid for Scientific Research (JP22K04246) from JSPS.

pict

Fig.1 Model of a vector SQUID sensor. Each pickup coil is doubly winding.

Keywords: SQUID, scanning SQUID microscopy, numerical image processing