Analysis of the field dependence of remanent magnetization curves
By R. Egli. 2003
192 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Geophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/fabce6e2010e40d972a7e378c84f589fe41c39f7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Andrew J. Newell
- Daniel P. Maxbauer
- Joshua Feinberg
- David L. Fox
- C. Horng
- A. Chen
- Kenneth P. Kodama
- M. Winklhofer
In Geophysics
- Joshua Feinberg
- Andrew J. Newell
- C. Horng
- A. Chen
- Kenneth P. Kodama
- M. Winklhofer
- R. Egli
- Daniel P. Maxbauer
In Molecular Biology
- Joshua Feinberg
- Andrew J. Newell
- C. Horng
- A. Chen
- Kenneth P. Kodama
- M. Winklhofer
- R. Egli
- Daniel P. Maxbauer
Citations in the corpus
- Characterization of Individual Rock Magnetic Components by Analysis of Remanence Curves, 1. Unmixing Natural Sediments (2004, methodology): “Furthermore, the use of CLG model functions is not always justified, as demonstrated by Egli (2003) on lake sediments and dust samples.”
- Mechanism of the magnetic susceptibility enhancements of the Chinese loess (2004, unknown): “More recent mathematical ‘‘unmixing’’ techniques involve the separation of coercivity fractions from IRM acquisition curves or alternating field (AF) demagnetization curves [e.g., Robertson and France, 1994; Stockhausen, 1998; Kruiver et al., 2001; Heslop et al., 2002; Egli, 2003].”
- A high‐precision model of first‐order reversal curve (FORC) functions for single‐domain ferromagnets with uniaxial anisotropy (2005, methodology): “obtained using isothermal remanence curves, which can be considered one-dimensional profiles through the hysteresis [Robertson and France, 1994; Egli, 2003].”
- Detection of noninteracting single domain particles using first‐order reversal curve diagrams (2010, methodology): “This property has been exploited by coercivity analysis [Egli, 2003, 2004a] and ferromagnetic resonance (FMR) spectroscopy [Weiss et al., 2004; Kopp et al., 2006].”
- MAX UnMix: A web application for unmixing magnetic coercivity distributions (2016, methodology): “MAX UnMix, in a similar way to the MAG-MIX software from Egli (2003), allows for subjectivity in determination of an initial model fit, but retains objectivity by performing automated optimization and error analysis in order to produce a final model.”