meanas is a python package for electromagnetic simulations
** UNSTABLE / WORK IN PROGRESS **
Formerly known as fdfd_tools.
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.
- 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.
- Source repository
- PyPI TBD
- python 3 (tests require 3.7)
Install from PyPI with pip:
pip3 install 'meanas[test,examples]'
Install python3.7, virtualenv, and git:
# This is for Debian/Ubuntu/other-apt-based systems; you may need an alternative command sudo apt install python3.7 virtualenv build-essential python3.7-dev git
If python 3.7 is not your default python3 version, create a virtualenv:
# Check python3 version: python3 --version # output on my system: Python 3.7.5rc1 # If this indicates a version >= 3.7, you can skip all # the steps involving virtualenv or referencing the venv/ directory # Create a virtual environment using python3.7 and place it in the directory `venv/` virtualenv -p python3.7 venv
In-place development install:
# Download using git #git clone https://mpxd.net/code/jan/meanas.git # If you are using a virtualenv, activate it source venv/bin/activate # Install in-place (-e, editable) from ./meanas, including testing and example dependencies ([test, examples]) pip3 install --user -e './meanas[test,examples]' # Run tests cd meanas python3 -m pytest -rsxX | tee test_results.txt
examples/ for some simple examples; you may need additional
packages such as gridlock
to run the examples.