PyMieSim¶

PyMieSim is a very easy to install/use tool for extensive Mie scattering analysis. It allows to study the light scattering on different kind of objects (scatterer) though at the moment, only spherical scatterers are implemented. Using this package, one can easily set a Source a Scatterer and a Detector within a very wide range of parameters such as:

Source structure (e.g. plane wave or Gaussian focused)
Source wavelength
Source polarization
Scatterer diameter
Scatterer refractive index
Medium refractive index
Detector type (photodiode or LPMode)
Detector numerical aperture
Detector angle offset in polarization parallel axis (\(\phi\))
Detector angle offset in polarization perpendicular axis (\(\theta\))
Detector coupling mode (Mean coupling or centered coupling)

The package also lets you construct an Experiment using ScattererSet, SourceSet and DetectorSet. Those class define the type of scatterers, light sources and detectors you want to study.

Documentation¶

All the latest available documentation is available here or you can click the following badge:

Google Colab¶

It’s 2021, you don’t need to run all your code on you computer anymore. Google Colab is a platform which allows to write/use python scripts remotely. You can open the PyMieSim.ipynb in the file to access it or click on the following “Open in Colab” badge:

Installation¶

Wheel support now extended to manylinux2014

It’s pretty simple:

pip install PyMieSim

Running Unittest¶

To run the Unit-tests, one need the coverage library.

python -m unittest tests/Unittest.py

Usage¶

Here is an example on how to use the library.

from PyMieSim.Source import PlaneWave
from PyMieSim.Detector import LPmode
from PyMieSim.Scatterer import Sphere

Source = PlaneWave(Wavelength   = 450e-9,
                   Polarization = 0,
                   E0           = 1)

Detector = LPmode(Mode         = (0, 1),
                  Rotation     = 0.,
                  Sampling     = 201,
                  NA           = 0.2,
                  GammaOffset  = 0,
                  PhiOffset    = 0,
                  CouplingMode = 'Centered')


Scat = Sphere(Diameter    = 300e-9,
              Source      = Source,
              Index       = 1.4)

Coupling = Detector.Coupling(Scatterer = Scat)

print(Coupling) # output: 1.66e+02 nWatt

For more examples, I invite you to check the examples section of the documentation.

Coding examples¶

A large set of examples are avaialble in the test/Examples folder. You can also see them in the examples section of the documentation

To-Do List¶

Adding dumb-proof assertions
Adding docstring
Adding Stokes parameter representations [DONE]
Multiprocess Experiment class
Adding more unittests
Adding monotonic metric to optimizer class [DONE]
Comments on c++ codes
Multiclass c++ codes
verify if changes of NA for <LPmode> class can be simplified [DONE]
adding travis and codecov [DONE]
adding material Sellmeier boundary

Citing this work?¶

I spent half a year to develop this tool for you to use so if it helped you in your research, I would greatly appreciate that you cite my work. Many thanks!

(Is this the new “like, comment and share” ?)

Developper mode¶

I have worked out a Dockerfile (see the PyMieSim Git) to install all the necessaries library.

I you prefer to directly install in your computer the files you can do the following

Submodules install If you want to clone this repository do not forget to init and update the submodules.

>>> git submodules init
>>> git submodules update

Fortran wrapper Be sure to have a fortran compiler installed such as “gfortran”.

>>> sudo apt-get install gfortran

You have to compile and install the code yourself. You can either follow the instruction as showed here or do the following:

>>> cd extern/complex_bessel && cmake . && make install

C++ wrapper You now need to compile the c++ code for your specific python version. If no prefered version leave DVERSION blank.

>>> cmake . -DVERSION=3.8
>>> make all

Contact Information¶

As of 2021, the project is still under development. If you want to collaborate, it would be a pleasure! I encourage you to contact me.

PyMieSim was written by Martin Poinsinet de Sivry-Houle .

Email:martin.poinsinet-de-sivry@polymtl.ca .

PyMieSim