On the influence of reference sample properties on magnetic force microscopy calibrations
Baha Sakar, Christopher Habenschaden, Sibylle Sievers, Hans Werner Schumacher
TL;DR
The paper addresses the challenge of quantitative MFM (qMFM) calibration by analyzing how reference-sample feature distributions and measurement parameters shape the tip transfer function (TTF) used to reconstruct stray fields. It combines forward simulations with NV-center benchmarks to show that spectral overlap in $k$-space between reference patterns and the sample under test ($SUT$) largely governs reconstruction fidelity. The key finding is that broad Fourier content in the reference improves agreement with NV-derived tip fields, while narrow spectral content causes information loss, making multi-scale reference patterns essential for extending qMFM across length scales. This work guides the development of reference samples spanning multiple length scales to enhance qMFM accuracy and connect with other imaging modalities like NV-based magnetometry.
Abstract
Magnetic force microscopy (MFM) allows the characterization of magnetic stray field distributions with high sensitivity and spatial resolution. Based on a suitable calibration procedure, MFM can also yield quantitative magnetic field values. This process typically involves measuring a reference sample to determine the distribution of the tip's stray field or stray field gradient at the sample surface. This distribution is called the tip transfer function (TTF) and is derived through regularized deconvolution in Fourier space. The properties of the reference sample and the noise characteristics of the detection system significantly influence the derived TTF, thereby limiting its validity range. In a recent study, the tip stray field distribution, and hence the TTF, of an MFM tip was independently measured in real space using a nitrogen vacancy center as a quantum sensor, revealing considerable discrepancies with the reference-sample-based TTF. Here, we analyze the influence of the feature distribution of the reference sample and the MFM measurement parameters on the resulting TTF. We explain the observed differences between quantum-calibrated stray field distributions and the classical approach by attributing them to a loss of information due to missing or suppressed spectral components. Furthermore, we emphasize the importance of the spectral coverage of the TTF. Our findings indicate that for high-quality reconstruction of the stray field of a sample under test (SUT), it is more critical to ensure a strong overlap of frequency components between the reference sample and the SUT than to achieve an accurate real-space reconstruction of the tip stray field distribution.
