Universal Reconstruction of Complex Magnetic Profiles with Minimum Prior Assumptions
arXiv:2411.18882 · doi:10.1103/q312-kf83
Abstract
Understanding intricate magnetic structures in materials is essential for advancing materials science, spintronics, and geology. Recent developments of quantum-enabled magnetometers, such as nitrogen-vacancy (NV) centers in diamond, have enabled direct imaging of magnetic field distributions across a wide range of magnetic profiles. However, reconstructing the magnetization from an experimentally measured magnetic field map is a complex inverse problem, further complicated by measurement noise, finite spatial resolution, and variations in sample-to-sensor distance. In this work, we present a novel and efficient GPU-accelerated method for reconstructing spatially varying magnetization density from measured magnetic fields with minimal prior assumptions. We validate our method by simulating diverse magnetic structures under realistic experimental conditions, including multi-domain ferromagnetism and magnetic spin textures such as skyrmion, anti-skyrmion, and meron. Experimentally, we reconstruct the magnetization of a micrometer-scale Apollo lunar mare basalt (sample 10003,184) and a nanometer-scale twisted double-trilayer CrI3. The basalt exhibits soft ferromagnetic domains consistent with previous paleomagnetic studies, whereas the CrI3 system reveals a well-defined hexagonal magnetic Moire superlattice. Our approach provides a versatile and universal tool for investigating complex magnetization profiles, paving the way for future quantum sensing experiments.
11 pages, 7 figures
References in corpus (28)
- Spintronics: Fundamentals and applications
- Layer-dependent Ferromagnetism in a van der Waals Crystal down to the Monolayer Limit
- Quantum sensing
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- Sensitivity Optimization for NV-Diamond Magnetometry
- A robust, scanning quantum system for nanoscale sensing and imaging
- Probing condensed matter physics with magnetometry based on nitrogen-vacancy centres in diamond
- Room Temperature Initialisation and Readout of Intrinsic Spin Defects in a Van der Waals Crystal
- Imaging stress and magnetism at high pressures using a nanoscale quantum sensor
- Micrometer-scale Magnetic Imaging of Geological Samples Using a Quantum Diamond Microscope
- Room Temperature Coherent Control of Spin Defects in hexagonal Boron Nitride
- All-Optical Vector Atomic Magnetometer
- Direct measurement of antiferromagnetic domain fluctuations
- Chiral Magnetic Skyrmions with Arbitrary Topological Charge ("skyrmionic sacks")
- Magnetization Dynamics of Nanoscale Magnetic Materials: A Perspective
- Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor
- How to build a magnetometer with thermal atomic vapor: A tutorial
- Topological Charge Analysis of Ultrafast Single Skyrmion Creation
- Direct measurement of interfacial Dzyaloshinskii-Moriya interaction in X/CoFeB/MgO heterostructures with a scanning-NV magnetometer
- Improved current density and magnetisation reconstruction through vector magnetic field measurements
- Probing many-body dynamics in a two dimensional dipolar spin ensemble
- Quantum sensing and imaging with spin defects in hexagonal boron nitride
- Coherent dynamics of strongly interacting electronic spin defects in hexagonal boron nitride
- Ultra-high Sensitivity Moment Magnetometry of Geological Samples Using Magnetic Microscopy
- Isotope engineering for spin defects in van der Waals materials
- Herriott-cavity-assisted all-optical atomic vector magnetometer
- Untrained physically informed neural network for image reconstruction of magnetic field sources
- Machine Learning for Improved Current Density Reconstruction from 2D Vector Magnetic Images