Abstract

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Micromagnetic modelling and multipole expansions from Micromagnetic TomographyAuthorsDavidCortés-OrtuñoiDKarlFabianLennartde GrootiDSee all authors David Cortés-OrtuñoiDCorresponding Author• Submitting AuthorUtrecht UniversityiDhttps://orcid.org/0000-0003-3799-3141view email addressThe email was not providedcopy email addressKarl FabianGeological Survey of Norwayview email addressThe email was not providedcopy email addressLennart de GrootiDUtrecht UniversityiDhttps://orcid.org/0000-0002-1151-5662view email addressThe email was not providedcopy email addressPublished Online:Sat, 18 Dec 2021DOI:https://doi.org/10.1002/essoar.10509572.1Meeting Name:AGU 2021 Fall MeetingMeeting Date:13-17 December 2021Meeting Location:New Orleans, LA and virtualDownload PDFDownload PDFCiteAbout ToolsAdd to FavoritesTrack Citations ShareShare onFacebookTwitterLinked InRedditEmailQR Code AbstractMicromagnetic Tomography (MMT) is a technique that combines X-ray micro tomography and scanning magnetometry data to numerically invert the surface magnetic signal for the magnetic potential of individual magnetic grains via their spherical harmonic expansion [1]. The dipole and higher order multipole moment solutions are uniquely determined, which has been proved in [2]. As a result, this method has allowed to analyze the signal of individual grains in rock samples and synthetic samples, thus providing a new pathway to study the rock magnetic properties of the remanent magnetization carriers [3]. Furthermore, the higher order multipole signals in the magnetic particles are an indication that the grains carry more complex magnetic orderings, such as multi-domain or vortex states. Therefore, these higher order moments can be used to constrain the magnetic configuration of the magnetic particles. In this work we review the multipole expansion method used by MMT. In addition, we show three dimensional micromagnetic modelling results to predict the multipole signal of magnetic particles in different local energy minimum magnetization states. We show that for certain grains it is possible to uniquely infer the magnetic configuration from the inverted magnetic multipole moments. This result is crucial to discriminate single-domain particles from grains in more complex configurations. Our investigation proves the feasibility to statistically select ensembles of magnetic grains with similar properties, such as the magnetic state, which is a step forward to find stable paleomagnetic recorders. [1] L. V. de Groot, K. Fabian, A. Béguin, P. Reith, A. Barnhoorn and H. Hilgenkamp. Determining Individual Particle Magnetizations in Assemblages of Micrograins. Geophysical Research Letters, 45(7):2995–3000, 2018. [2] K. Fabian and L. V. de Groot. A uniqueness theorem for tomography-assisted potential-field inversion. Geophysical Journal International, 216(2):760–766, 2018. [3] D. Cortés‐Ortuño, K. Fabian and L. V. De Groot. Single particle multipole expansions from Micromagnetic Tomography. Geochemistry, Geophysics, Geosystems, 22:e2021GC009663, 2021. BackCite This WorkClose modalCopy TextPick your preferred file format according to your citation manager software.BibTexRIS (ProCite, Reference Manager)EndNoteRefWorksCancelDownload SupplementalRelatedDetailsCitations0This work hasn’t been cited yet.Be the first to cite it.Cite Metrics7Views7Downloads0Citations Submission History[v1] Sat, 18 Dec 2021 09:05:23 (2.4 MB)TopicsGeophysics, Geophysics / PaleomagnetismFundersEuropean Research CouncilGrant Number:851460Recipient:Lennart de GrootLicenseYou are free to:Share — copy and redistribute the material in any medium or formatAdapt — remix, transform, and build upon the materialThe licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms:Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.NonCommercial — You may not use the material for commercial purposes.No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.Learn more

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