FORCinel: An improved algorithm for calculating first-order reversal curve distributions using locally weighted regression smoothing

Harrison, R. J. and Feinberg, J. M. (2008) FORCinel: An improved algorithm for calculating first-order reversal curve distributions using locally weighted regression smoothing. Geochemistry Geophysics Geosystems, 9 (5). Q05016. DOI https://doi.org/10.1029/2008GC001987

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Abstract

Figure 8. Smoothing effects on LOESS smoothed FORC distributions for a natural sample of pure hematite. In Figure 8a, optimum smoothing range is shown in green. Figures 8b, 8c, and 8d correspond to smoothing factors 2, 6, and 10, respectively. Undersmoothing produces a distribution that is dominated by noise (Figure 8b). Oversmoothing produces a distribution that obscures the presence of noninteracting grains along Hu = 0 (Figure 8d). Using the optimization routine described in Figure 5, the ideal FORC distribution is SF = 6.

Item Type:	Article
Uncontrolled Keywords:	08AREP; IA57;
Subjects:	03 - Mineral Sciences
Divisions:	03 - Mineral Sciences
Journal or Publication Title:	Geochemistry Geophysics Geosystems
Volume:	9
Page Range:	Q05016
Identification Number:	https://doi.org/10.1029/2008GC001987
Depositing User:	Sarah Humbert
Date Deposited:	20 May 2009 13:04
Last Modified:	23 Jul 2013 09:54
URI:	http://eprints.esc.cam.ac.uk/id/eprint/994

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