meanas

meanas is a python package for electromagnetic simulations

This package is intended for building simulation inputs, analyzing simulation outputs, and running short simulations on unspecialized hardware. It is designed to provide tooling and a baseline for other, high-performance purpose- and hardware-specific solvers.

Contents

• Finite difference frequency domain (FDFD)
  • Library of sparse matrices for representing the electromagnetic wave equation in 3D, as well as auxiliary matrices for conversion between fields
  • Waveguide mode operators
  • Waveguide mode eigensolver
  • Stretched-coordinate PML boundaries (SCPML)
  • Functional versions of most operators
  • Anisotropic media (limited to diagonal elements eps_xx, eps_yy, eps_zz, mu_xx, ...)
  • Arbitrary distributions of perfect electric and magnetic conductors (PEC / PMC)
• Finite difference time domain (FDTD)
  • Basic Maxwell time-steps
  • Poynting vector and energy calculation
  • Convolutional PMLs

This package does not provide a fast matrix solver, though by default meanas.fdfd.solvers.generic(...) will call scipy.sparse.linalg.qmr(...) to perform a solve. For 2D FDFD problems this should be fine; likewise, the waveguide mode solver uses scipy's eigenvalue solver, with reasonable results.

For solving large (or 3D) FDFD problems, I recommend a GPU-based iterative solver, such as opencl_fdfd or those included in MAGMA). Your solver will need the ability to solve complex symmetric (non-Hermitian) linear systems, ideally with double precision.

Installation

Requirements:

• python 3 (tests require 3.7)
• numpy
• scipy

Install with pip, via git:

pip install git+https://mpxd.net/code/jan/meanas.git@release

Use

See examples/ for some simple examples; you may need additional packages such as gridlock to run the examples.