bblankrot / particlescattering.jl

A Julia package for solving two-dimensional electromagnetic scattering from numerous particles

ParticleScattering

A Julia package for solving large-scale electromagnetic scattering problems in two dimensions; specifically, those containing a large number of penetrable smooth particles. Provides the ability to optimize over the particle parameters for various design problems.

Installation

ParticleScattering for julia 0.7 can be installed using Pkg.add:

Pkg.add("ParticleScattering")
using ParticleScattering

For julia 0.6, an older version of ParticleScattering can be installed manually by cloning release v0.0.4 from GitHub.

Community

The easiest way to contribute is by opening issues! Of course, we'd be more than happy if you implement any fixes and send a PR. If you have any relevant scattering problems that would make good examples for the docs, feel free to open an issue for that as well.

Citation

If you publish work that utilizes ParticleScattering, please cite it using:

@article{Blankrot2018joss,
  title={ParticleScattering: Solving and optimizing multiple-scattering problems in {Julia}},
  author={Blankrot, Boaz and Heitzinger, Clemens},
  journal={Journal of Open Source Software},
  publisher={The Open Journal},
  volume={3},
  pages={691},
  number={25},
  DOI={10.21105/joss.00691},
  year={2018},
  month={May}
}

particlescattering.jl's Issues

Loading PGFPlotsX should be optional

Implement some form of lazy or optional loading for PGFPlotsX, CSV, and DataFrames

Implement lower complexity `verify_min_distance`

Currently, this is an O(M^2) algorithm. This can be improved substantially, for example by recursively subdividing the domain or by using an FMM-type approach (divide into boxes of size d_min, and then check only near neighbors).

Partial optimization

Add ability to optimize only a subset of the particles in optimize_φ and optimize_radius.

Register ParticleScattering

@JuliaRegistrator register