|03fc9e6d70||3 years ago|
|examples||6 years ago|
|fdfd_tools||5 years ago|
|.gitignore||7 years ago|
|LICENSE.md||7 years ago|
|README.md||3 years ago|
|setup.py||6 years ago|
** DEPRECATED **
The functionality in this module is now provided by meanas.
fdfd_tools is a python package containing utilities for creating and analyzing 2D and 3D finite-difference frequency-domain (FDFD) electromagnetic simulations.
- Library of sparse matrices for representing the electromagnetic wave equation in 3D, as well as auxiliary matrices for conversion between fields
- Waveguide mode solver and waveguide mode operators
- Stretched-coordinate PML boundaries (SCPML)
- Functional versions of most operators
- Anisotropic media (eps_xx, eps_yy, eps_zz, mu_xx, ...)
- Arbitrary distributions of perfect electric and magnetic conductors (PEC / PMC)
This package does not provide a fast matrix solver, though by default
fdfd_tools.solvers.generic(...) will call
scipy.sparse.linalg.qmr(...) to perform a solve.
For 2D problems this should be fine; likewise, the waveguide mode
solver uses scipy's eigenvalue solver, with reasonable results.
For solving large (or 3D) 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.
- python 3 (written and tested with 3.5)
Install with pip, via git:
pip install git+https://mpxd.net/gogs/jan/fdfd_tools.git@release
See examples/test.py for some simple examples; you may need additional packages such as gridlock to run the examples.