The Frogs Method: A Bioinspired Algorithm For Micromagnetic Dynamics Skyrmion Data Extraction

Abstract

In this work we present a new bio-inspired method (using an adapted, frog based Particle Swarm Optimization) that can track a skyrmion's position. The structure and position of skyrmions in a given system is usually determined either by visual impression through a vector plot, or by averaging over magnetization and topological charge. Due to the inherent difficulty of acquiring this information in discrete systems, and also in systems with finite boundaries, we present a method which is able to reliably track a wide array of different topological structures, while also providing additional data about internal degrees of freedom, in both stationary and dynamic cases.