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Comparison and Validation of Different Magnetic Force Microscopy Calibration Schemes
Héctor Corte-León1, Volker Neu2, Alessandra Manzin3
1National Physical Laboratory, Hampton Road, Teddington, TW11 0LW, UK.
Small (Weinheim an Der Bergstrasse, Germany)
|February 11, 2020
Summary
Quantitative magnetic force microscopy (MFM) is becoming more accessible for nanocharacterization. A new calibration method using reference samples and a deconvolution algorithm enhances reliability and ease of use for studying magnetic nanostructures.
Area of Science:
- Materials Science
- Nanotechnology
- Physics
Background:
- Reliable fabrication of nanostructures is vital for consumer electronics.
- Nanoscale characterization techniques are crucial for materials and device development.
- Magnetic Force Microscopy (MFM) allows localized study of magnetic field patterns down to 10 nm.
Purpose of the Study:
- To advance quantitative Magnetic Force Microscopy (MFM) as a standard nanocharacterization tool.
- To demonstrate the reliability and ease of use of a novel MFM calibration method.
- To validate the deconvolution algorithm for improved MFM accuracy.
Main Methods:
- Calibration of MFM using a magnetic reference sample with calculable stray field.
- Comparison of two calibration approaches: probe's effect on a graphene Hall sensor and MFM phase shift over microcoils.
- Application of a deconvolution algorithm using the open-source software Gwyddion.
- Numerical modeling to quantitatively link calibration measurements.
Main Results:
- Demonstrated reliability and ease of use for quantitative MFM calibration.
- Validated a calibration method combining reference samples and a deconvolution algorithm.
- Reported magnetic dipole approximations for common MFM probes.
- Showcased the applicability of the deconvolution algorithm with Gwyddion software.
Conclusions:
- Quantitative MFM is made more accessible for nanocharacterization laboratories.
- The presented calibration method and deconvolution algorithm enhance MFM's reliability.
- This work facilitates more precise analysis of magnetic nanostructures.

