Modeling1fnoise via dynamical random networks

Abstract

We study $\frac{1}{f}$ noise using conducting networks whose random resistances are dictated by the underlying random spin dynamics. In our Monte Carlo simulations, the power spectra of the current fluctuations are calculated, and an approximate $\frac{1}{f}$ behavior observed. We study the noise amplitude in various circumstances (different temperatures, samples, annealing, and quenching). Our findings suggest that metastable states are responsible for the $\frac{1}{f}$ behavior.