Hysteresis of natural magnetite ensembles: Micromagnetics of silicate-hosted magnetite inclusions based on focused-ion-beam nanotomography

Nikolaisen, Even S. and Harrison, Richard J. and Fabian, Karl and McEnroe, Suzanne A. (2020) Hysteresis of natural magnetite ensembles: Micromagnetics of silicate-hosted magnetite inclusions based on focused-ion-beam nanotomography. Geochemistry, Geophysics, Geosystems. ISSN 1525-2027 DOI https://doi.org/10.1029/2020GC009389

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Abstract

Three‐dimensional geometries of silicate‐hosted magnetic inclusions from the Harcus intrusion, South Australia have been determined using focused‐ion‐beam nanotomography (FIB‐nt). By developing an effective workflow, the geometries were reconstructed for magnetic particles in a plagioclase (162) and a pyroxene (282), respectively. For each inclusion, micromagnetic modelling using MERRILL provided averaged hysteresis loops and backfield remanence curves of 20 equidistributed field directions together with average Ms, Mrs, Hc, and Hcr. The micromagnetic structures within each silicate are single‐domain, single‐vortex, multi‐vortex and multi‐domain states. They have been analyzed using domain‐state diagnostic plots, such as the Day plot and the Néel plot. SD particles can be subdivided into groups with dominant uniaxial anisotropy (Mrs/Ms∼0.5 and 10<Hc<100mT) and mixed uniaxial/multiaxial anisotropy (Mrs/Ms∼0.7 and 10<Hc<30mT). Most single‐vortex particles lie on a trend with 0<Mrs/Ms<0.1and 0<Hc<10mT, while others display a broad range of intermediate Mrs/Ms and Hc values. Single‐vortex and multi‐vortex states do not plot on systematic grain‐size trends. Instead, the multi‐component mixture of domain states within each silicate spans the entire range of natural variability seen in bulk samples. This questions the interpretation of bulk average hysteresis parameters in terms of grain size alone. FIB‐nt combined with large‐scale micromagnetic simulations provides a more complete characterization of silicate‐hosted carriers of stable magnetic remanence. This approach will improve the understanding of single‐crystal paleomagnetism, and enable primary paleomagnetic data to be extracted from ancient rocks.

Item Type: Article
Uncontrolled Keywords: 2020AREP; IA76
Subjects: 03 - Mineral Sciences
Divisions: 03 - Mineral Sciences
08 - Green Open Access
Journal or Publication Title: Geochemistry, Geophysics, Geosystems
Identification Number: https://doi.org/10.1029/2020GC009389
Depositing User: Sarah Humbert
Date Deposited: 24 Oct 2020 17:36
Last Modified: 14 Apr 2021 00:00
URI: http://eprints.esc.cam.ac.uk/id/eprint/4897

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