Skip to main content

Python implementation of Berremans 4x4 matrix method

Project description

pyElli logo pyElli logo

PyPI - Python Version PyPI DOI Pytest Documentation Status Code style: black

pyElli

PyElli is an open source numerical solver for spectral ellipsometry employing well-known 2x2 and 4x4 algorithms. It is intended for a broad case of problems including simple fitting of layered structures, anisotropic layers and any other light interaction with layered 1D structures. It serves as a system for the day to day ellipsometry task at hand and is easily extendable with your own dispersion models, EMAs or solvers. Our goal is to provide a reproducible and flexible tool for the needs of scientists working with spectral ellipsometry.

Features

  • A multitude of models to approximate the dielectric function of your material.
  • Use the vast library of materials from refractiveindex.info as reference materials.
  • Build up your structure easily from materials and layers.
  • Simulate reflection and transmission spectra, ellipsometric parameters and Mueller matrices.
  • Utilities to quickly convert, plot and fit your measurement data.
  • Powerful when necessary, editable and expandable.

How to get it

The installers for all releases are available at the Python Package Index (PyPI).

To install run:

pip install pyElli[fitting]

This installs pyElli with the additional fitting capabilities and interactive widgets. If don't want to have this functionality just drop the [fitting] in the end.

A complete environment for pyElli is also available as a Docker Container. To pull and run it directly just execute

docker run -p 8888:8888 domna/pyelli

from your local docker install. After startup a link should appear in your console. Click it and you will be directed to a jupyter server with the latest release of pyElli available.

To install the latest development version use:

pip install "pyElli[fitting] @ git+https://github.com/PyEllips/pyElli.git"

The source code is hosted on GitHub, to manually install from source, clone the repository and run pip install -e . in the folder to install it in development mode:

git clone https://github.com/PyEllips/pyElli
cd pyElli
pip install -e .[fitting]

Acknowledgements

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

pyElli-0.15.0.tar.gz (9.5 MB view details)

Uploaded Source

Built Distribution

pyElli-0.15.0-py3-none-any.whl (9.2 MB view details)

Uploaded Python 3

File details

Details for the file pyElli-0.15.0.tar.gz.

File metadata

  • Download URL: pyElli-0.15.0.tar.gz
  • Upload date:
  • Size: 9.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for pyElli-0.15.0.tar.gz
Algorithm Hash digest
SHA256 3515040875e97a5f3fd7c83e1a4ee37dfb2676d130001d3484461ebd4f56f5d4
MD5 06cfd4da98a85432bc524faa80c9ce76
BLAKE2b-256 b3caba92d82c7b2fd6a9b725f1beb86fdeed75c3174305188cd691f5439576f5

See more details on using hashes here.

Provenance

File details

Details for the file pyElli-0.15.0-py3-none-any.whl.

File metadata

  • Download URL: pyElli-0.15.0-py3-none-any.whl
  • Upload date:
  • Size: 9.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for pyElli-0.15.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d9daad430eaabba5b2dee96ec5813a27fdf23f6352722f7c751b4fe239afae0d
MD5 7a115dc3d72cc0daf9bf048cb669f36a
BLAKE2b-256 9f0793ae062cd983669c77b5be270666b627413fd042b2a16efca17be5d71795

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