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Wavesight is a Python project for studying the coupling of electromagnetic waves into optical fibers using numerical methods and simulations, featuring tools for job scheduling, visualization, and result logging.

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wavesight

wavesight is a project to study the coupling of electromagnetic waves into optical fibers. It is written in Python and uses the numpy and scipy libraries for numerical calculations. It uses MEEP as an implementation of FDTD to solve the propagation of waves across metasurfaces, and to launch the guided modes of step index fibers. It implements the analytical solution to step-index optical waveguides and it uses $ S^4 $ as an RCWA implementation useful in the design of metasurfaces.

In addition to this it also uses the Smythe-Kirchhoff vectorial diffraction integral to propagate electromagnetic fields across homogeneous media that may compose a part of a larger structure.

This was run at a HPC cluster at Brown University and includes a number of convenience to manage and launch scheduled jobs using slurm.

From these calculations wavesight also provides a set of tools to visualize the results of the simulations. It uses matplotlib to plot the results of the simulations, and ffmpeg to generate animations of the results. These results are logged to a private Slack channel.

Propagation across metasurface.

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Wavesight is a Python project for studying the coupling of electromagnetic waves into optical fibers using numerical methods and simulations, featuring tools for job scheduling, visualization, and result logging.

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