The Impact of Grain‐Size Distributions of Iron‐Oxides on Paleomagnetic Measurements

Abstract Magnetic signals in igneous rocks arise from assemblages of iron‐oxide bearing minerals that differ in for example, size, shape, and chemistry. Paleomagnetic measurements on bulk samples measure millions of such grains simultaneously, producing a statistical ensemble of the magnetic moments...

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Published in:Geochemistry, Geophysics, Geosystems
Main Authors: Frenk Out, Rosa A. deBoer, John Walmsley, Lennart V. deGroot
Format: Article
Language:English
Published: Wiley 2024-04-01
Subjects:
Online Access:https://doi.org/10.1029/2024GC011512
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author Frenk Out
Rosa A. deBoer
John Walmsley
Lennart V. deGroot
author_facet Frenk Out
Rosa A. deBoer
John Walmsley
Lennart V. deGroot
author_sort Frenk Out
collection DOAJ
container_title Geochemistry, Geophysics, Geosystems
description Abstract Magnetic signals in igneous rocks arise from assemblages of iron‐oxide bearing minerals that differ in for example, size, shape, and chemistry. Paleomagnetic measurements on bulk samples measure millions of such grains simultaneously, producing a statistical ensemble of the magnetic moments of the individual grains. Scanning magnetometry techniques such as the Quantum Diamond Microscope (QDM) measure magnetic signals on micrometer scales, allowing the identification of magnetic moments of individual grains in a sample using for example, Micromagnetic Tomography (MMT). Here we produce a grain‐size distribution of iron‐oxides in a typical Hawaiian basalt from the superparamagnetic threshold (∼40 nm) to grains with a diameter of 10 µm. This grain‐size distribution is obtained by combining FIB‐SEM and MicroCT data from sister specimens, and normalizing them to the mineral surface area of non‐magnetic minerals. Then we use this grain‐size distribution to determine the contributions of individual magnetic carriers to bulk magnetic measurements and surface magnetometry. We found that measurements on bulk samples are sensitive to relatively small grain sizes in the realm of single domain or vortex states (<200 nm), while signals in surface magnetometry arise mainly from larger grains with diameters >1 µm. This implies that bulk measurements cannot be compared straightforwardly to signals from surface magnetometry from the same sample. Moreover, our observations explain why MMT results are insensitive to the presence of many small grains in a sample that intuitively should hamper their outcome.
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spelling doaj-art-b18c75e9edea4d4abc73cfd84d912fbe2025-08-20T01:21:11ZengWileyGeochemistry, Geophysics, Geosystems1525-20272024-04-01254n/an/a10.1029/2024GC011512The Impact of Grain‐Size Distributions of Iron‐Oxides on Paleomagnetic MeasurementsFrenk Out0Rosa A. deBoer1John Walmsley2Lennart V. deGroot3Department of Earth Sciences Paleomagnetic Laboratory Fort Hoofddijk Utrecht University Utrecht The NetherlandsDepartment of Earth Sciences Paleomagnetic Laboratory Fort Hoofddijk Utrecht University Utrecht The NetherlandsDepartment of Materials Science & Metallurgy University of Cambridge Cambridge UKDepartment of Earth Sciences Paleomagnetic Laboratory Fort Hoofddijk Utrecht University Utrecht The NetherlandsAbstract Magnetic signals in igneous rocks arise from assemblages of iron‐oxide bearing minerals that differ in for example, size, shape, and chemistry. Paleomagnetic measurements on bulk samples measure millions of such grains simultaneously, producing a statistical ensemble of the magnetic moments of the individual grains. Scanning magnetometry techniques such as the Quantum Diamond Microscope (QDM) measure magnetic signals on micrometer scales, allowing the identification of magnetic moments of individual grains in a sample using for example, Micromagnetic Tomography (MMT). Here we produce a grain‐size distribution of iron‐oxides in a typical Hawaiian basalt from the superparamagnetic threshold (∼40 nm) to grains with a diameter of 10 µm. This grain‐size distribution is obtained by combining FIB‐SEM and MicroCT data from sister specimens, and normalizing them to the mineral surface area of non‐magnetic minerals. Then we use this grain‐size distribution to determine the contributions of individual magnetic carriers to bulk magnetic measurements and surface magnetometry. We found that measurements on bulk samples are sensitive to relatively small grain sizes in the realm of single domain or vortex states (<200 nm), while signals in surface magnetometry arise mainly from larger grains with diameters >1 µm. This implies that bulk measurements cannot be compared straightforwardly to signals from surface magnetometry from the same sample. Moreover, our observations explain why MMT results are insensitive to the presence of many small grains in a sample that intuitively should hamper their outcome.https://doi.org/10.1029/2024GC011512paleomagnetismiron‐oxidesgrain‐size distributionmicromagnetic tomographyFIB‐SEMghost grains
spellingShingle Frenk Out
Rosa A. deBoer
John Walmsley
Lennart V. deGroot
The Impact of Grain‐Size Distributions of Iron‐Oxides on Paleomagnetic Measurements
paleomagnetism
iron‐oxides
grain‐size distribution
micromagnetic tomography
FIB‐SEM
ghost grains
title The Impact of Grain‐Size Distributions of Iron‐Oxides on Paleomagnetic Measurements
title_full The Impact of Grain‐Size Distributions of Iron‐Oxides on Paleomagnetic Measurements
title_fullStr The Impact of Grain‐Size Distributions of Iron‐Oxides on Paleomagnetic Measurements
title_full_unstemmed The Impact of Grain‐Size Distributions of Iron‐Oxides on Paleomagnetic Measurements
title_short The Impact of Grain‐Size Distributions of Iron‐Oxides on Paleomagnetic Measurements
title_sort impact of grain size distributions of iron oxides on paleomagnetic measurements
topic paleomagnetism
iron‐oxides
grain‐size distribution
micromagnetic tomography
FIB‐SEM
ghost grains
url https://doi.org/10.1029/2024GC011512
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