jan
/
fdfd_tools
2
2
Fork 1
Code Issues Pull Requests Releases Wiki Activity
*DEPRECATED* Tools for optical simulations
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
4 Commits
8 Branches
0 Tags
1.8 MiB
Python 100%
 
wip
master
ongoing
fdtd_extras
own_cg
blochsolver
release
fdtd
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '6c1ceb1670'
${ noResults }
Go to file
jan 6c1ceb1670 initial development 8 years ago
examples initial development 8 years ago
fdfd_tools initial development 8 years ago
.gitignore initial development 8 years ago
LICENSE.md add license 8 years ago
README.md initial development 8 years ago
float_raster.py initial development 8 years ago
gridlock initial development 8 years ago
setup.py initial development 8 years ago

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