Abstract
Using x-ray magnetic nanotomography the internal magnetization structure within extended samples can be determined with high spatial resolution and element specificity, without the need for assumptions or prior knowledge of the magnetic properties of a sample. Here we present the details of a new algorithm for the reconstruction of a three-dimensional magnetization vector field, discussing both the mathematical description of the problem, and details of the gradient-based iterative reconstruction routine. To test the accuracy of the algorithm the method is demonstrated for a complex simulated magnetization configuration obtained from micromagnetic simulations. The reconstruction of the complex three-dimensional magnetic nanostructure, including the surroundings of magnetic singularities (or Bloch points), exhibits an excellent qualitative and quantitative agreement with the simulated magnetic structure. This method provides a robust route for the reconstruction of internal three-dimensional magnetization structures obtained from x-ray magnetic tomographic datasets, which can be acquired with either hard or soft x-rays, and can be applied to a wide variety of three-dimensional magnetic systems.
Highlights
Magnetic materials play an important role in modern technological and engineering applications, from data storage and sensors to electric motors and energy harvesting
This technique is a significant improvement on the reconstruction method that was used in our experimental demonstration in [9], where the complex internal magnetic configuration of a 5mm diameter pillar containing a number of fundamental magnetic structures was recovered with a spatial resolution of 100 nm
To validate the effectiveness of the reconstruction algorithm presented in this article, we performed numerical simulations of x-ray magnetic tomography using a model of a complex magnetic structure within a mesoscopic GdCo2 pillar that was calculated using micromagnetic simulations [27]
Summary
Claire Donnelly1,2,4 , Sebastian Gliga , Valerio Scagnoli, Mirko Holler, Jörg Raabe, Laura J Heyderman and Manuel Guizar-Sicairos.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.