First-order reversal-curve diagrams and reversible magnetization

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FORCinel: An improved algorithm for calculating first‐order reversal curve distributions using locally weighted regression smoothing (2008, methodology): “The most common method is that used by Pike et al. [1999], whereby the magnetization is fitted using a second-order polynomial function:”
Understanding fine magnetic particle systems through use of first‐order reversal curve diagrams (2014, methodology): “It creates a peak, or ridge, at Bc= 0 (Figure 12c); this method has been referred to as the “reversible ridge” method [Pike, 2003].”
A high‐precision model of first‐order reversal curve (FORC) functions for single‐domain ferromagnets with uniaxial anisotropy (2005, background): “Similar negative regions are seen in other singledomain samples [Pike et al., 1999; Pike, 2003; Carvallo et al., 2004].”