Unlocking information about fine magnetic particle assemblages from first-order reversal curve diagrams: Recent advances

AP Roberts, D Heslop, X Zhao, H Oda, R Egli… - Earth-Science …, 2022 - Elsevier
The magnetic domain state of a material determines its magnetic recording capability and
magnetic properties. Constraining the domain state of magnetic components within …

Magnetic characterization of geologic materials with first-order reversal curves

R Egli - Magnetic measurement techniques for materials …, 2021 - Springer
Since their introduction in Earth sciences in 1990, first-order reversal curve (FORC)
measurements have become an important tool for characterizing geologic materials. The …

An Automatic Model Selection‐Based Machine Learning Framework to Estimate FORC Distributions

D Heslop, AP Roberts, H Oda, X Zhao… - Journal of …, 2020 - Wiley Online Library
First‐order reversal curve (FORC) distributions are a powerful diagnostic tool for
characterizing and quantifying magnetization processes in fine magnetic particle systems …

Simulation of remanent, transient, and induced FORC diagrams for interacting particles with uniaxial, cubic, and hexagonal anisotropy

RJ Harrison, X Zhao, P Hu, T Sato… - Journal of …, 2019 - Wiley Online Library
The diagnostic power of first‐order reversal curve (FORC) diagrams has recently been
enhanced by an extended measurement protocol that yields three additional FORC‐like …

Detection of noninteracting single domain particles using first‐order reversal curve diagrams

R Egli, AP Chen, M Winklhofer… - Geochemistry …, 2010 - Wiley Online Library
We present a highly sensitive and accurate method for quantitative detection and
characterization of noninteracting or weakly interacting uniaxial single domain particles …

Magnetic unmixing of first‐order reversal curve diagrams using principal component analysis

I Lascu, RJ Harrison, Y Li, JR Muraszko… - Geochemistry …, 2015 - Wiley Online Library
We describe a quantitative magnetic unmixing method based on principal component
analysis (PCA) of first‐order reversal curve (FORC) diagrams. For PCA, we resample FORC …

First‐order reversal curve diagrams: A new tool for characterizing the magnetic properties of natural samples

AP Roberts, CR Pike… - Journal of Geophysical …, 2000 - Wiley Online Library
Paleomagnetic and environmental magnetic studies are commonly conducted on samples
containing mixtures of magnetic minerals and/or grain sizes. Major hysteresis loops are …

[PDF][PDF] First-order reversal curve (FORC) diagrams

AR Muxworthy, AP Roberts - Encyclopedia of geomagnetism and …, 2007 - core.ac.uk
In many geomagnetic, geological and environmental magnetic studies, it is important to
have reliable methods of characterizing the composition and grain size distribution of …

Estimation of significance levels and confidence intervals for first-order reversal curve distributions

D Heslop, AP Roberts - Geochemistry, Geophysics …, 2012 - ui.adsabs.harvard.edu
First-order reversal curve (FORC) distributions provide a means with which to describe a
magnetic mineral assemblage in terms of coercivities and interaction fields. In recent years …

VARIFORC: An optimized protocol for calculating non-regular first-order reversal curve (FORC) diagrams

R Egli - Global and Planetary Change, 2013 - Elsevier
High-resolution first-order reversal curve (FORC) diagrams are increasingly employed to
characterize magnetic minerals in sediments, and especially as a magnetofossil detection …