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Multimode Fibre Characterization using Spatial State Tomography

Python 29.05% Jupyter Notebook 70.95%
fibre multimode optical photonics tomography spatial-tomography

sst_mmf_characterization's Introduction

Arbitrary Coherence Length Source, Multimode Fibre Characterization by Spatial State Tomography

Intro

Referenceless, arbitrary coherence source multimode fibre characterization using spatial state tomography. The modules contain functions to perform spatial state tompgrahy and retrieve the complete complex mode transmission matrix (MTM). Those functions are shown in the avaliable jupyter notebook examples.

How to use it

Copy the remote repository in your local machine, the repository is self contained and the custom packages are provided inside modules folder. The custom modules make use of following packages:

  • numpy, scipy, pathlib
  • cupy, numba (optional for accelation)

Contact

For more data avaliability and bugs report contact to [email protected]

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