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*DEPRECATED* Tools for optical simulations
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jan ec674fe3f4 Add solvers submodule and clean up examples. 
Solvers submodule includes a generic solver in case you already have a
sparse matrix solver, or in case you have no solver at all.

Example file now uses alternate solvers if available, and has a nicer
way of picking which solver gets used.
2016-08-04 22:46:02 -07:00
examples Add solvers submodule and clean up examples. 2016-08-04 22:46:02 -07:00
fdfd_tools Add solvers submodule and clean up examples. 2016-08-04 22:46:02 -07:00
.gitignore initial development 2016-05-30 22:30:45 -07:00
LICENSE.md add license 2016-04-13 04:06:15 -07:00
README.md initial development 2016-05-30 22:30:45 -07:00
setup.py initial development 2016-05-30 22:30:45 -07:00

README.md

fdfd_tools

fdfd_tools is a python package containing utilities for creating and analyzing 2D and 3D finite-difference frequency-domain (FDFD) electromagnetic simulations.

Contents

  • 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, ...)

This package does not provide a matrix solver. The waveguide mode solver uses scipy's eigenvalue solver; I recommend a GPU-based iterative solver (eg. those included in MAGMA). You will need the ability to solve complex symmetric (non-Hermitian) linear systems, ideally with double precision.

Installation

Requirements:

  • python 3 (written and tested with 3.5)
  • numpy
  • scipy

Install with pip, via git:

pip install git+https://mpxd.net/gogs/jan/fdfd_tools.git@release