Loading…

Low field frequency dependent magnetic susceptibility inversion

In this work we present an open source implementation of the procedure proposed by Ustra et al. (2018) to invert frequency dependent susceptibility (FDS) data to obtain quantitative information on grain-size variations of magnetic particles in the transition of superparamagnetic (SP) to stable singl...

Full description

Saved in:
Bibliographic Details
Published in:Computers & geosciences 2019-12, Vol.133, p.104326, Article 104326
Main Authors: Ustra, Andrea, Mendonça, Carlos, Leite, Aruã, Jaqueto, Plinio, Novello, Valdir Felipe
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this work we present an open source implementation of the procedure proposed by Ustra et al. (2018) to invert frequency dependent susceptibility (FDS) data to obtain quantitative information on grain-size variations of magnetic particles in the transition of superparamagnetic (SP) to stable single domain (SSD). The software provides the inversion parameters (FDS asymptotes) as well as the limiting frequency effect and transition factor, which provide information regarding contribution of the SP particles to magnetic susceptibility as well as relative variation of the particle grain-size in the SP-SSD transition. Numerical simulations show the procedure's capability in retrieving modeled parameters and fitting data, and its limitation regarding the range of variation of relaxation times. Real data application illustrates the reliability of the procedure for a mineral assemblage in the SP-SSD range. •Open source computer code to invert frequency dependent susceptibility data.•Calculation of the limiting frequency effect (LFE).•LFE accurately estimates the magnetic susceptibility loss with frequency.•Quantitative information on grain-size variations of magnetic ultrafine particles.
ISSN:0098-3004
1873-7803
DOI:10.1016/j.cageo.2019.104326