| Name | PyMieSim JSON |
| Version |
3.6.3
JSON |
| download |
| home_page | None |
| Summary | A package for light scattering computation. |
| upload_time | 2025-07-19 23:40:07 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License
Copyright (c) 2020 Martin Poinsinet de Sivry-Houle
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
| keywords |
mie
scattering
backscatter
sphere
cylinder
nanoparticle
phase function
efficiency
rayleigh
backscattering
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
|logo|
.. list-table::
:widths: 10 25 25 25
:header-rows: 0
* - Meta
- |python|
- |docs|
- |zenodo|
* - Testing
- |ci/cd|
- |coverage|
- |colab|
* - PyPI
- |PyPI|
- |PyPI_download|
-
* - Anaconda
- |anaconda|
- |anaconda_download|
- |anaconda_date|
PyMieSim
========
**PyMieSim** is an open-source Python package for fast and flexible Mie
scattering simulations. It supports spherical, cylindrical and core--shell
particles and provides helper classes for custom sources and detectors.
The project targets both quick single-scatterer studies and large parametric
experiments.
Features
--------
- Solvers for spheres, cylinders and core--shell geometries.
- Built-in models for plane wave and Gaussian sources.
- Multiple detector types including photodiodes and coherent modes.
- Simple data analysis with pandas DataFrame outputs.
Installation
------------
PyMieSim is available on PyPI and Anaconda. Install it with:
.. code-block:: bash
pip install PyMieSim
conda install PyMieSim
See the `online documentation <https://pymiesim.readthedocs.io/>`_ for detailed
usage and additional examples.
Quick example
-------------
Below is a short example computing the scattering efficiency of a sphere.
.. code-block:: python
import numpy as np
from PyMieSim.experiment.scatterer import Sphere
from PyMieSim.experiment.source import Gaussian
from PyMieSim.experiment import Setup
from PyMieSim.units import nanometer, degree, watt, AU, RIU
source = Gaussian(
wavelength=np.linspace(400, 1000, 500) * nanometer,
polarization=0 * degree,
optical_power=1e-3 * watt,
NA=0.2 * AU,
)
scatterer = Sphere(
diameter=[200] * nanometer,
property=[4] * RIU,
medium_property=1 * RIU,
source=source,
)
experiment = Setup(scatterer=scatterer, source=source)
df = experiment.get("Qsca")
df.plot_data(x="source:wavelength")
Building from source
--------------------
For development or manual compilation, clone the repository and run:
.. code-block:: bash
git submodule update --init
mkdir build && cd build
cmake ../ -G"Unix Makefiles"
sudo make install
cd ..
python -m pip install .
Testing
-------
Run the unit tests with:
.. code-block:: bash
pip install PyMieSim[testing]
pytest
Citing PyMieSim
---------------
If you use PyMieSim in academic work, please cite:
.. code-block:: none
@article{PoinsinetdeSivry-Houle:23,
author = {Martin Poinsinet de Sivry-Houle and Nicolas Godbout and Caroline Boudoux},
journal = {Opt. Continuum},
title = {PyMieSim: an open-source library for fast and flexible far-field Mie scattering simulations},
volume = {2},
number = {3},
pages = {520--534},
year = {2023},
doi = {10.1364/OPTCON.473102},
}
Contact
-------
For questions or contributions, contact `martin.poinsinet.de.sivry@gmail.com <mailto:martin.poinsinet.de.sivry@gmail.com>`_.
.. |logo| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/logo.png
:alt: PyOptik logo
.. |python| image:: https://img.shields.io/pypi/pyversions/pymiesim.svg
:alt: Python
:target: https://www.python.org/
.. |zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5593704.svg
:alt: Scientific article
:target: https://doi.org/10.5281/zenodo.4556074
.. |colab| image:: https://colab.research.google.com/assets/colab-badge.svg
:alt: Google Colab
:target: https://colab.research.google.com/github/MartinPdeS/PyMieSim/blob/master/notebook.ipynb
.. |docs| image:: https://github.com/martinpdes/pymiesim/actions/workflows/deploy_documentation.yml/badge.svg
:target: https://martinpdes.github.io/PyMieSim/
:alt: Documentation Status
.. |PyPI| image:: https://badge.fury.io/py/PyMieSim.svg
:alt: PyPI version
:target: https://badge.fury.io/py/PyMieSim
.. |PyPI_download| image:: https://img.shields.io/pypi/dm/PyMieSim?style=plastic&label=PyPI%20downloads&labelColor=hex&color=hex
:alt: PyPI downloads
:target: https://pypistats.org/packages/pymiesim
.. |coverage| image:: https://raw.githubusercontent.com/MartinPdeS/PyMieSim/python-coverage-comment-action-data/badge.svg
:alt: Unittest coverage
:target: https://htmlpreview.github.io/?https://github.com/MartinPdeS/PyMieSim/blob/python-coverage-comment-action-data/htmlcov/index.html
.. |ci/cd| image:: https://github.com/martinpdes/pymiesim/actions/workflows/deploy_coverage.yml/badge.svg
:alt: Unittest Status
.. |code_structure| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/code_structure.png
:width: 800
:alt: Structure of the library
.. |example_gui| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/example_gui.png
:width: 800
:alt: Structure of the library
.. |wikipedia_example| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/wikipedia_example.png
:width: 800
:alt: Example wikipedia
.. |example_plasmon| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/plasmonic_resonances.png
:width: 800
:alt: Plasmonic resonances
.. |example_qsca| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/Qsca_diameter.png
:width: 800
:alt: Qsca vs diameter
.. |anaconda| image:: https://anaconda.org/martinpdes/pymiesim/badges/version.svg
:alt: Anaconda version
:target: https://anaconda.org/martinpdes/pymiesim
.. |anaconda_download| image:: https://anaconda.org/martinpdes/pymiesim/badges/downloads.svg
:alt: Anaconda downloads
:target: https://anaconda.org/martinpdes/pymiesim
.. |anaconda_date| image:: https://anaconda.org/martinpdes/pymiesim/badges/latest_release_relative_date.svg
:alt: Latest release date
:target: https://anaconda.org/martinpdes/pymiesim
Raw data
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"description": "|logo|\n\n.. list-table::\n :widths: 10 25 25 25\n :header-rows: 0\n\n * - Meta\n - |python|\n - |docs|\n - |zenodo|\n * - Testing\n - |ci/cd|\n - |coverage|\n - |colab|\n * - PyPI\n - |PyPI|\n - |PyPI_download|\n -\n * - Anaconda\n - |anaconda|\n - |anaconda_download|\n - |anaconda_date|\n\nPyMieSim\n========\n\n**PyMieSim** is an open-source Python package for fast and flexible Mie\nscattering simulations. It supports spherical, cylindrical and core--shell\nparticles and provides helper classes for custom sources and detectors.\nThe project targets both quick single-scatterer studies and large parametric\nexperiments.\n\nFeatures\n--------\n- Solvers for spheres, cylinders and core--shell geometries.\n- Built-in models for plane wave and Gaussian sources.\n- Multiple detector types including photodiodes and coherent modes.\n- Simple data analysis with pandas DataFrame outputs.\n\nInstallation\n------------\nPyMieSim is available on PyPI and Anaconda. Install it with:\n\n.. code-block:: bash\n\n pip install PyMieSim\n conda install PyMieSim\n\nSee the `online documentation <https://pymiesim.readthedocs.io/>`_ for detailed\nusage and additional examples.\n\nQuick example\n-------------\nBelow is a short example computing the scattering efficiency of a sphere.\n\n.. code-block:: python\n\n import numpy as np\n from PyMieSim.experiment.scatterer import Sphere\n from PyMieSim.experiment.source import Gaussian\n from PyMieSim.experiment import Setup\n from PyMieSim.units import nanometer, degree, watt, AU, RIU\n\n source = Gaussian(\n wavelength=np.linspace(400, 1000, 500) * nanometer,\n polarization=0 * degree,\n optical_power=1e-3 * watt,\n NA=0.2 * AU,\n )\n\n scatterer = Sphere(\n diameter=[200] * nanometer,\n property=[4] * RIU,\n medium_property=1 * RIU,\n source=source,\n )\n\n experiment = Setup(scatterer=scatterer, source=source)\n df = experiment.get(\"Qsca\")\n df.plot_data(x=\"source:wavelength\")\n\nBuilding from source\n--------------------\nFor development or manual compilation, clone the repository and run:\n\n.. code-block:: bash\n\n git submodule update --init\n mkdir build && cd build\n cmake ../ -G\"Unix Makefiles\"\n sudo make install\n cd ..\n python -m pip install .\n\nTesting\n-------\nRun the unit tests with:\n\n.. code-block:: bash\n\n pip install PyMieSim[testing]\n pytest\n\nCiting PyMieSim\n---------------\nIf you use PyMieSim in academic work, please cite:\n\n.. code-block:: none\n\n @article{PoinsinetdeSivry-Houle:23,\n author = {Martin Poinsinet de Sivry-Houle and Nicolas Godbout and Caroline Boudoux},\n journal = {Opt. Continuum},\n title = {PyMieSim: an open-source library for fast and flexible far-field Mie scattering simulations},\n volume = {2},\n number = {3},\n pages = {520--534},\n year = {2023},\n doi = {10.1364/OPTCON.473102},\n }\n\nContact\n-------\nFor questions or contributions, contact `martin.poinsinet.de.sivry@gmail.com <mailto:martin.poinsinet.de.sivry@gmail.com>`_.\n\n.. |logo| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/logo.png\n :alt: PyOptik logo\n.. |python| image:: https://img.shields.io/pypi/pyversions/pymiesim.svg\n :alt: Python\n :target: https://www.python.org/\n.. |zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5593704.svg\n :alt: Scientific article\n :target: https://doi.org/10.5281/zenodo.4556074\n.. |colab| image:: https://colab.research.google.com/assets/colab-badge.svg\n :alt: Google Colab\n :target: https://colab.research.google.com/github/MartinPdeS/PyMieSim/blob/master/notebook.ipynb\n.. |docs| image:: https://github.com/martinpdes/pymiesim/actions/workflows/deploy_documentation.yml/badge.svg\n :target: https://martinpdes.github.io/PyMieSim/\n :alt: Documentation Status\n.. |PyPI| image:: https://badge.fury.io/py/PyMieSim.svg\n :alt: PyPI version\n :target: https://badge.fury.io/py/PyMieSim\n.. |PyPI_download| image:: https://img.shields.io/pypi/dm/PyMieSim?style=plastic&label=PyPI%20downloads&labelColor=hex&color=hex\n :alt: PyPI downloads\n :target: https://pypistats.org/packages/pymiesim\n.. |coverage| image:: https://raw.githubusercontent.com/MartinPdeS/PyMieSim/python-coverage-comment-action-data/badge.svg\n :alt: Unittest coverage\n :target: https://htmlpreview.github.io/?https://github.com/MartinPdeS/PyMieSim/blob/python-coverage-comment-action-data/htmlcov/index.html\n.. |ci/cd| image:: https://github.com/martinpdes/pymiesim/actions/workflows/deploy_coverage.yml/badge.svg\n :alt: Unittest Status\n.. |code_structure| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/code_structure.png\n :width: 800\n :alt: Structure of the library\n.. |example_gui| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/example_gui.png\n :width: 800\n :alt: Structure of the library\n.. |wikipedia_example| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/wikipedia_example.png\n :width: 800\n :alt: Example wikipedia\n.. |example_plasmon| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/plasmonic_resonances.png\n :width: 800\n :alt: Plasmonic resonances\n.. |example_qsca| image:: https://github.com/MartinPdeS/PyMieSim/raw/master/docs/images/Qsca_diameter.png\n :width: 800\n :alt: Qsca vs diameter\n.. |anaconda| image:: https://anaconda.org/martinpdes/pymiesim/badges/version.svg\n :alt: Anaconda version\n :target: https://anaconda.org/martinpdes/pymiesim\n.. |anaconda_download| image:: https://anaconda.org/martinpdes/pymiesim/badges/downloads.svg\n :alt: Anaconda downloads\n :target: https://anaconda.org/martinpdes/pymiesim\n.. |anaconda_date| image:: https://anaconda.org/martinpdes/pymiesim/badges/latest_release_relative_date.svg\n :alt: Latest release date\n :target: https://anaconda.org/martinpdes/pymiesim\n",
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