meanas/README.md

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# meanas
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**meanas** is a python package for electromagnetic simulations
** UNSTABLE / WORK IN PROGRESS **
Formerly known as [fdfd_tools](https://mpxd.net/code/jan/fdfd_tools).
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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.
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**Contents**
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- 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
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This package does *not* provide a fast matrix solver, though by default
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`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.
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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.
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- [Source repository](https://mpxd.net/code/jan/meanas)
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- [PyPI](https://pypi.org/project/meanas)
- [Github mirror](https://github.com/anewusername/meanas)
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## Installation
**Requirements:**
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* python >=3.11
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* numpy
* scipy
Install from PyPI with pip:
```bash
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pip3 install 'meanas[dev]'
```
### Development install
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Install python3 and git:
```bash
# This is for Debian/Ubuntu/other-apt-based systems; you may need an alternative command
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sudo apt install python3 build-essential python3-dev git
```
In-place development install:
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```bash
# Download using git
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git clone https://mpxd.net/code/jan/meanas.git
# If you'd like to create a virtualenv, do so:
python3 -m venv my_venv
# If you are using a virtualenv, activate it
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source my_venv/bin/activate
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# Install in-place (-e, editable) from ./meanas, including development dependencies ([dev])
pip3 install --user -e './meanas[dev]'
# Run tests
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cd meanas
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python3 -m pytest -rsxX | tee test_results.txt
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```
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#### See also:
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- [git book](https://git-scm.com/book/en/v2)
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- [venv documentation](https://docs.python.org/3/tutorial/venv.html)
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- [python language reference](https://docs.python.org/3/reference/index.html)
- [python standard library](https://docs.python.org/3/library/index.html)
## Use
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See `examples/` for some simple examples; you may need additional
packages such as [gridlock](https://mpxd.net/code/jan/gridlock)
to run the examples.