Optimization of Time-Resolved Magneto-optical Kerr Effect Signals for Magnetization Dynamics Measurements

TL;DR

This paper enhances the measurement of magnetic damping in perpendicular magnetic anisotropy materials by optimizing TR-MOKE signals using a numerical algorithm based on the LLG equation.

Contribution

It introduces an approach to optimize TR-MOKE measurements for magnetization dynamics using a numerical method based on the LLG equation.

Findings

Identifies optimal conditions for TR-MOKE measurements.

Provides a numerical framework for analyzing angle and field dependence.

Improves accuracy in quantifying magnetic damping.

Abstract

Recently magnetic storage and magnetic memory have shifted towards the use of magnetic thin films with perpendicular magnetic anisotropy (PMA). Understanding the magnetic damping in these materials is crucial, but normal Ferromagnetic Resonance (FMR) measurements face some limitations. The desire to quantify the damping in materials with PMA has resulted in the adoption of Time-Resolved Magneto-optical Kerr Effect (TR-MOKE) measurements. In this paper, we discuss the angle and field dependent signals in TR-MOKE, and utilize a numerical algorithm based on the Landau-Lifshitz-Gilbert (LLG) equation to provide information on the optimal conditions to run TR-MOKE measurements.