100 lines
3.1 KiB
Markdown
100 lines
3.1 KiB
Markdown
# meanas README
|
|
|
|
**meanas** is a python package for electromagnetic simulations
|
|
|
|
** UNSTABLE / WORK IN PROGRESS **
|
|
|
|
Formerly known as [fdfd_tools](https://mpxd.net/code/jan/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.
|
|
|
|
|
|
**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](https://mpxd.net/code/jan/opencl_fdfd) or
|
|
those included in [MAGMA](http://icl.cs.utk.edu/magma/index.html). Your
|
|
solver will need the ability to solve complex symmetric (non-Hermitian)
|
|
linear systems, ideally with double precision.
|
|
|
|
- [Source repository](https://mpxd.net/code/jan/meanas)
|
|
- PyPI *TBD*
|
|
|
|
|
|
## Installation
|
|
|
|
**Requirements:**
|
|
* python 3 (tests require 3.7)
|
|
* numpy
|
|
* scipy
|
|
|
|
|
|
Install from PyPI with pip:
|
|
```bash
|
|
pip3 install 'meanas[test,examples]'
|
|
```
|
|
|
|
### Development install
|
|
Install python3.7 and virtualenv:
|
|
```bash
|
|
# 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
|
|
```
|
|
|
|
If python 3.7 is not your default python3 version, create a virtualenv:
|
|
```bash
|
|
# Check python3 version:
|
|
python3 --version
|
|
# output: Python 3.7.5rc1
|
|
|
|
# Create a virtual environment using python3.7 and place it in the directory `venv/`
|
|
virtualenv -p python3.7 venv
|
|
```
|
|
|
|
In-place development install:
|
|
```bash
|
|
# Download using git
|
|
git clone --branch ongoing https://mpxd.net/code/jan/fdfd_tools.git meanas/
|
|
|
|
# NOTE: In the future this will become
|
|
#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
|
|
python3 -m pytest
|
|
```
|
|
|
|
|
|
## Use
|
|
|
|
See `examples/` for some simple examples; you may need additional
|
|
packages such as [gridlock](https://mpxd.net/code/jan/gridlock)
|
|
to run the examples.
|