SpinWaveToolkit: python package for (semi-)analytical calculations in the field of spin-wave physics

Area of Science:

• Physics
• Materials Science
• Computational Science

Background:

• Spin-wave dynamics are crucial for developing advanced magnetic devices.
• Accurate modeling of spin waves in ferromagnetic materials is essential for magnonics research.
• Existing simulation methods can be computationally intensive.

Purpose of the Study:

• To introduce SpinWaveToolkit (SWT), an open-source Python package for modeling spin-wave dynamics.
• To provide a versatile and efficient framework for analyzing spin-wave properties and simulating experiments.
• To accelerate research in magnonics by reducing computation times.

Main Methods:

• Utilizes analytical models based on the Kalinikos-Slavin theory.
• Employs a semi-analytical dynamic-matrix approach for calculations.
• Implements a quantitative model for micro-focused Brillouin light scattering (BLS) simulations.

Main Results:

• SWT calculates dispersion relations, group velocities, decay lengths, mode profiles, and magnetization states.
• Simulates BLS spectra incorporating vectorial optical focusing and Green-function propagation.
• Validated against finite-element simulations, showing excellent agreement and reducing computation time by ~100x.

Conclusions:

• SWT offers a fast and user-friendly framework for exploring parameter spaces in magnonics.
• Enables efficient fitting of experimental data, such as measured dispersion relations.
• Facilitates experiment design, interpretation, and parameter optimization in magnonics research.