EFFECT OF RECORDED TRANSITION SHAPE ON SPATIAL NOISE DISTRIBUTIONS AND CORRELATIONS

Improved error rate models require better understanding of noise distributions and correlations in magnetization reversals. An analytical model is described for micromagnetic transition noise. Magnetic charge conservation is the basis for the model. The noise distribution is shown to be dependent primarily on the average transition shape. While magnetic charge variance is always peaked at the center of the transition, readback voltage noise may peak at the center for arctangent transitions or may show leading and trailing edge peaks for hyperbolic tangent or error-function transitions. Moreover, noise in the voltage derivative shows yet different distributions. Principal noise eigenfunction modes are determined for the contrasting transition shapes studied. Analytical and full micromagnetic modeling results are compared.