Skip to main content

Light scattering by multiple particles in thin-film systems

Project description

.. image:: docs/images/logo_cropped.png
:align: center

SMUTHI stands for 'scattering by multiple particles in thin-film systems'. The software allows to simulate light
scattering by multiple particles near (or between) planar interfaces. It is based on the T-matrix method for the single
particle scattering, and on the scattering-matrix method for the propagation through the layered medium.

Target group: Scientists and engineers in the field of optics and optoelectronics.

License: SMUTHI is provided under the MIT license.

Author: Amos Egel. Mail to amos.egel@kit.edu for support or to report a problem.

The following persons have contributed to the project:

- Dominik Theobald (functions for the simulation of rotated particles, plane wave based particle coupling for
non-spherical particles with overlapping circumscribing spheres)
- Lorenzo Pattelli (logo)

We thank Adrian Doicu, Thomas Wriedt and Yuri Eremin for allowing us to use their NFM-DS Fortran code.

For a guide how to install and use the software, see the `documentation <http://smuthi.readthedocs.io>`_.

What's new in version 0.8
-------------------------
Support for rotated particles, GPU support for the calculation of the near field.

What's new in version 0.7
--------------------------
Iterative solver (GMRES), lookup tables and GPU support were added for fast simulations including large particle
numbers.

What's new in version 0.6
--------------------------
Dipole sources are supported as initial field.

What's new in version 0.5
--------------------------
Gaussian beams (more precisely: beams with transverse Gaussian footprint) are supported as initial field.

What's new in version 0.4
--------------------------
The data structure has been updated to a more consequent object oriented approach, including a PlaneWaveExpansion class
and a SphericalWaveExpansion class. Smuthi's API is now also `documented <http://smuthi.readthedocs.io>`_.

What's new in version 0.3
--------------------------
The software now allows to compute the electric near field. The fields can be plotted as png figure files and as gif
animations. All generated output can be stored as figure files or as text files. The simulation object can be exported
as binary file.

What's new in version 0.2.2
--------------------------
Finite cylinders were added.

What's new in version 0.2
--------------------------
In addition to spherical particles, spheroids can now be selected as scattering particles, too.
Spheroids are ellipsoidal particles with one axis of rotational symmetry (which is currently fixed
to be the direction perpendicular to the layer interfaces).


Planned updates for future versions
------------------------------------
Things to be implemented next:

- plane wave based coupling for close non-spherical particles
- packages for the evaluation of bidirectional scattering distrubtion function and emission efficiency




Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

SMUTHI-0.8.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

SMUTHI-0.8-py3-none-any.whl (1.1 MB view details)

Uploaded Python 3

File details

Details for the file SMUTHI-0.8.tar.gz.

File metadata

  • Download URL: SMUTHI-0.8.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for SMUTHI-0.8.tar.gz
Algorithm Hash digest
SHA256 27cdf367efc363a056c61e2730c1384741565bf4f08cb53d86aae2cae4e88ddf
MD5 eeabb02b0f4e3b345c4c2a5ce265fd15
BLAKE2b-256 f74d3204e11a6ba0a2ad11861039afa51f1e3a95f31f007674263e2f2da5a8ea

See more details on using hashes here.

Provenance

File details

Details for the file SMUTHI-0.8-py3-none-any.whl.

File metadata

File hashes

Hashes for SMUTHI-0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 377c2c7e92c5f9e50982d5bba1411b513d0c3b0ba7203de3da00ad0d16e7b429
MD5 cc9b69dbd820f61ae060b313e15cdb9f
BLAKE2b-256 742168496140f6d63a95bad65e3c38be89562cb5137330474d54bbb1513ac323

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page