# Scanning Magnetic Microscopy Using a High-Sensitivity Room-Temperature Tunnel Magnetoresistance Sensor for Geological Applications

## TL;DR

This paper introduces a high-sensitivity room-temperature tunnel magnetoresistance sensor for magnetic imaging of geological samples with high resolution.

## Contribution

The novel use of a room-temperature TMR sensor for geological magnetic microscopy is presented, offering high sensitivity and spatial resolution.

## Key findings

- Magnetic images of a Hawaii basalt thin section were obtained with minimal anisotropic distortion.
- The TMR sensor showed larger peak magnetic fields and magnetic moments compared to a scanning SQUID microscope.
- The sensor's performance discrepancies may be attributed to its active region's vertical extent and noise.

## Abstract

This paper reports magnetic microscopy using high-sensitivity room-temperature tunnel magnetoresistance (TMR) devices for thin geological sections. The sensitivity region of the TMR sensor has dimensions of 178 µm (L) × 0.1 µm (W) × 100 µm (H), consisting of two TMR devices. Magnetic images were obtained for a vertically magnetized Hawaii basalt thin section in two sensor configurations, with the sensor length aligned parallel to the X- (lift-off = 174 μm) and Y-axes (lift-off = 200 μm), without introducing anisotropic distortion in the magnetic images. Although the magnetic images obtained with a scanning SQUID microscope (SSM) were similar, slight discrepancies were observed in the high-spatial-resolution region. A magnetic point source (50 μm × 50 μm) with a perpendicular magnetization film was prepared for evaluation. The SSM measurements showed a clear magnetic dipole at an angle of approximately 1° from the vertical direction. The FWHMs for both the SSM and TMR sensors increased linearly with lift-off. However, the peak magnetic fields, magnetic moments, and dipole tilts of the TMR sensor were significantly larger than those of the SSM sensor. This discrepancy may be due to the vertical extent of the active region of the TMR sensor, as well as due to sensor noise and drift.