Paper detail

FORC+: A method for separating reversible from irreversible behavior using first order reversal curves

First Order Reversal Curves (FORCs) have been used for a number of years for the extraction of information from magnetization measurements. The results are most unambiguous for irreversible processes -- for a collection of Preisach hysterons, one gets a "FORC distribution" $ρ(H_{down},H_{up})$, the number of hysterons with given downward \& upward reversal fields. There have been many proposals for dealing with reversible behavior, usually involving inserting it somehow into the irreversible FORC distribution. Here we will try to do the opposite, to separate them into another function which we will call the (reversible) "saturation field distribution", which is identically zero for a completely irreversible system of hysterons, while the irreversible FORC distribution is identically zero for a reversible system. Thus in a system with both purely reversible and purely irreversible components, such as single-domain Stoner-Wohlfarth particles with hard or easy axis along the field, this approach cleanly separates them. For more complicated systems, as with conventional FORC distributions, it at least provides a "signature" making it possible to identify microscopic models that might give a particular pair of irreversible and reversible distributions.