2014
DOI: 10.1002/2014gc005582
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FORCulator: A micromagnetic tool for simulating first‐order reversal curve diagrams

Abstract: We describe a method for simulating first-order reversal curve (FORC) diagrams of interacting single-domain particles. Magnetostatic interactions are calculated in real space, allowing simulations to be performed for particle ensembles with arbitrary geometry. For weakly interacting uniaxial particles, the equilibrium magnetization at each field step is obtained by direct solution of the Stoner-Wohlfarth model, assuming a quasi-static distribution of interaction fields. For all other cases, the equilibrium mag… Show more

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Cited by 63 publications
(131 citation statements)
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“…As observed above, offset peaks in FORC diagrams have been reported in a variety of natural materials (pyrrhotite, greigite, and single‐phase hematite) that have, in common, strong magnetocrystalline anisotropy that dominates switching behavior. Harrison and Lascu [] were also able to replicate an offset peak and associated negative trough, both with a negative slope, in simulations of SD particles with cubic anisotropy alone. In SD particles where magnetocrystalline anisotropy is dominant, multiple magnetization states are possible intermediate to plus or minus saturation, which if measured as a minor loop may have switching fields that are not equal and opposite [ Usov and Peschany , ].…”
Section: Discussionmentioning
confidence: 99%
“…As observed above, offset peaks in FORC diagrams have been reported in a variety of natural materials (pyrrhotite, greigite, and single‐phase hematite) that have, in common, strong magnetocrystalline anisotropy that dominates switching behavior. Harrison and Lascu [] were also able to replicate an offset peak and associated negative trough, both with a negative slope, in simulations of SD particles with cubic anisotropy alone. In SD particles where magnetocrystalline anisotropy is dominant, multiple magnetization states are possible intermediate to plus or minus saturation, which if measured as a minor loop may have switching fields that are not equal and opposite [ Usov and Peschany , ].…”
Section: Discussionmentioning
confidence: 99%
“…Likewise, identifying the magnetic domain state for some magnetic mineral configurations presents challenges, and contrasting results can be obtained when analyzed with different methods, such as double or multiple magnetosome chain bundles even though individual magnetosome crystals have stable SD properties. Micromagnetic simulations of frustrated systems (Harrison, ), particles with complex geometries (Lascu et al, ; Williams et al, , ), and strongly interacting particle assemblages/magnetofossil chains (Chang et al, ; Evans et al, ; Harrison & Lascu, ; Muxworthy et al, ) have improved our theoretical understanding of these issues and are enabling more nuanced interpretations of domain states, which takes us beyond the simple SD‐PSD‐MD designation. These challenges should be grappled with when relevant; nevertheless, routine domain state diagnosis of geological materials remains fundamentally important in paleomagnetism and environmental magnetism.…”
Section: Is Magnetic Domain State Identification a Chimera?mentioning
confidence: 99%
“…Particles near the SP/SD threshold size commonly give rise to a secondary peak near the origin of the FORC diagram with a dominant vertical response near the B i axis in the lower FORC half‐plane (e.g., Figure c; Pike et al, ). In addition to providing information about domain state, Harrison and Lascu () demonstrated that FORC diagrams provide information about the type of magnetocrystalline anisotropy within magnetic particles, which provides further valuable information. Details concerning FORC diagrams and the manifestations of each domain state are provided by Roberts et al ().…”
Section: Candidate Approaches For Domain State Diagnosismentioning
confidence: 99%
“…All FORC diagrams were processed using the VARIFORC function in FORCinel, 22,23 which is written in Igor (V2.02 in IGOR Pro7, WaveMetrics, Portland, OR). In processing the FORC data, the lower edge artifact was removed 24 prior to plotting the FORC diagram. Ⅲ. RESULTS…”
Section: A Theory and Simulationmentioning
confidence: 99%