Computer-Oriented Geoscience Lab

Preprint: Automatic dipole moment inversion of magnetic microscopy images


We have a new preprint out on EarthArXiv:

Souza Junior, G.F., Uieda, L., Trindade, R.I.F., Carmo, J., and Fu, R. (2023). Full vector inversion of magnetic microscopy images using Euler deconvolution as a priori information. EarthArXiv. doi:10.31223/x5qd5z

This is the first publication produced as part of lab member Gelson F. Souza Junior’s PhD research and our Royal Society grant. It presents a new method to automatically identify the signal from individual magnetic particles in magnetic microscopy images and linearly invert the data in 2 steps to determine the position and dipole moment of each particle. The idea for this work came from combining the group’s expertise in applied geophysics and paleomagnetism.

The proof-of-concept code that implements the method is available on the GitHub repository compgeolab/micromag-euler-dipole. A more user-friendly version will be implemented in the open-source library Magali, which is under construction.

A grayscale map showing several dipolar anomalies of different sizes with colored vectors overlaid showing the estimated dipole moments
Example result of our dipole moment inversion overlaid on magnetic microscopy data from a QDM.

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