Micromagnetic simulations of first-order reversal curve (FORC) diagrams of framboidal greigite
Autor: | Wyn Williams, Lesleis Nagy, Adrian R. Muxworthy, Andrew P. Roberts, David Heslop, Miguel A. Valdez-Grijalva |
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Rok vydání: | 2020 |
Předmět: |
Geochemistry & Geophysics
Greigite Materials science 010504 meteorology & atmospheric sciences Condensed matter physics Environmental magnetism 0404 Geophysics 010502 geochemistry & geophysics First order 01 natural sciences Geophysics 0403 Geology Geochemistry and Petrology 0909 Geomatic Engineering 0105 earth and related environmental sciences |
Zdroj: | Valdez-Grijalva, M A, Nagy, L, Muxworthy, A R, Williams, W, Roberts, A P & Heslop, D 2020, ' Micromagnetic simulations of first-order reversal curve (FORC) diagrams of framboidal greigite ', Geophysical Journal International, vol. 222, no. 2 . https://doi.org/10.1093/gji/ggaa241 |
ISSN: | 1365-246X 0956-540X |
DOI: | 10.1093/gji/ggaa241 |
Popis: | SUMMARY Greigite is a sensitive environmental indicator and occurs commonly in nature as magnetostatically interacting framboids. Until now only the magnetic response of isolated non-interacting greigite particles have been modelled micromagnetically. We present here hysteresis and first-order reversal curve (FORC) simulations for framboidal greigite (Fe3S4), and compare results to those for isolated particles of a similar size. We demonstrate that these magnetostatic interactions alter significantly the framboid FORC response compared to isolated particles, which makes the magnetic response similar to that of much larger (multidomain) grains. We also demonstrate that framboidal signals plot in different regions of a FORC diagram, which facilitates differentiation between framboidal and isolated grain signals. Given that large greigite crystals are rarely observed in microscopy studies of natural samples, we suggest that identification of multidomain-like FORC signals in samples known to contain abundant greigite could be interpreted as evidence for framboidal greigite. |
Databáze: | OpenAIRE |
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