Scanning superconducting quantum interference device microscopy (SSM) is a scanning probe technique that images local magnetic flux, which allows for mapping of magnetic fields with high field and spatial accuracy. Many studies involving SSM have been published in the last few decades, using SSM to make qualitative statements about magnetism. However, quantitative analysis using SSM has received less attention. In this work, we discuss several aspects of interpreting SSM images and methods to improve quantitative analysis. First, we analyse the spatial resolution and how it depends on several factors. Second, we discuss the analysis of SSM scans and the information obtained from the SSM data. Using simulations, we show how signals evolve as a function of changing scan height, SQUID loop size, magnetization strength, and orientation. We also investigated 2-dimensional autocorrelation analysis to extract information about the size, shape, and symmetry of magnetic features. Finally, we provide an outlook on possible future applications and improvements.
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December 2017
Research Article|
December 11 2017
Analysing magnetism using scanning SQUID microscopy
P. Reith;
P. Reith
1
MESA+ Institute for Nanotechnology, University of Twente
, P. O. Box 217, 7500 AE Enschede, The Netherlands
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X. Renshaw Wang ((王骁));
X. Renshaw Wang ((王骁))
a)
1
MESA+ Institute for Nanotechnology, University of Twente
, P. O. Box 217, 7500 AE Enschede, The Netherlands
2
School of Physical and Mathematical Sciences and School of Electrical and Electronic Engineering, Nanyang Technological University
, 50 Nanyang Avenue, 639798, Singapore
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H. Hilgenkamp
H. Hilgenkamp
1
MESA+ Institute for Nanotechnology, University of Twente
, P. O. Box 217, 7500 AE Enschede, The Netherlands
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a)
Email: renshaw@ntu.edu.sg
Rev. Sci. Instrum. 88, 123706 (2017)
Article history
Received:
August 24 2017
Accepted:
November 13 2017
Citation
P. Reith, X. Renshaw Wang, H. Hilgenkamp; Analysing magnetism using scanning SQUID microscopy. Rev. Sci. Instrum. 1 December 2017; 88 (12): 123706. https://doi.org/10.1063/1.5001390
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