Validation of $ΔH(M,ΔM)$-technique for identification of switching field distributions in the presence of thermal relaxation

The potential of hysteresis loop-based methods for the characterization of granular magnetic materials is investigated in the presence of thermal relaxation effects. Specifically, we study the reliability of the $ΔH(M,ΔM)$-method to recover the intrinsic switching field distribution in the presence of thermal relaxation. As input data, we use the computational results obtained from kinetic Monte Carlo simulations of interacting Stoner–Wohlfarth particle arrays including the anisotropy field and grain size distributions, and then analyze them using the hysteron-based $ΔH(M,ΔM)$-method to identify the accuracy limits of this methodology. It is found that the accuracy of the $ΔH(M,ΔM)$-method is not substantially changed by the presence of thermal relaxation.