A fast magnetic vector characterization method for quasi two-dimensional systems and heterostructures

Herguedas-Alonso, A. E., Aballe, L., Fullerton, J., Vélez, M., Martín, J. I., Sorrentino, A., Pereiro, E., Ferrer, S., Quirós, C. and Hierro-Rodriguez, A. (2023) A fast magnetic vector characterization method for quasi two-dimensional systems and heterostructures. Scientific Reports, 13, 9639. (doi: 10.1038/s41598-023-36803-z) (PMID:37316525) (PMCID:PMC10267128)

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Abstract

The use of magnetic vector tomography/laminography has opened a 3D experimental window to access the magnetization at the nanoscale. These methods exploit the dependence of the magnetic contrast in transmission to recover its 3D configuration. However, hundreds of different angular projections are required leading to large measurement times. Here we present a fast method to dramatically reduce the experiment time specific for quasi two-dimensional magnetic systems. The algorithm uses the Beer-Lambert equation in the framework of X-ray transmission microscopy to obtain the 3D magnetic configuration of the sample. It has been demonstrated in permalloy microstructures, reconstructing the magnetization vector field with a reduced number of angular projections obtaining quantitative results. The throughput of the methodology is × 10–× 100 times faster than conventional magnetic vector tomography, making this characterization method of general interest for the community.

Item Type:Articles
Additional Information:The ALBA Synchrotron is funded by the Ministry of Research and Innovation of Spain, by the Generalitat de Catalunya and by European FEDER funds. This project has been supported by Spanish MICIN under grant PID2019-104604RB/AEI/***0.13039/501100011033 and by Asturias FICYT under grant AYUD/2021/51185 with the support of FEDER funds. J.F. acknowledges the support from EPSRC and the Centre for Doctoral Training (CDT) in Photonic Integration and Advanced Data Storage (PIADS), RCUK Grant No. EP/L015323/1.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fullerton, John
Authors: Herguedas-Alonso, A. E., Aballe, L., Fullerton, J., Vélez, M., Martín, J. I., Sorrentino, A., Pereiro, E., Ferrer, S., Quirós, C., and Hierro-Rodriguez, A.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Scientific Reports
Publisher:Nature Research
ISSN:2045-2322
ISSN (Online):2045-2322
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Scientific Reports 13: 9639
Publisher Policy:Reproduced under a Creative Commons License
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
172610External engagement manager: CDT Photonic Integration for Advanced Data StorageJohn MarshEngineering and Physical Sciences Research Council (EPSRC)EP/L015323/1ENG - Electronics & Nanoscale Engineering