meow#

Modeling of Eigenmodes and Overlaps in Waveguides

meow

A simple electromagnetic EigenMode Expansion (EME) tool for Python.

Installation#

Minimal installation#

pip install meow-sim[min]

Full installation#

pip install meow-sim[full]

Selecting features#

You can select which features to enable during installation as follows:

pip install meow-sim[feature1,feature2,...]

Available features#

  • min: minimal installation (equivalent to not specifying any features)

  • vis: explicitly installs matplotlib and trimesh.

  • jax: use JAX in stead of numpy to calculate the S-matrices

  • klu: use klujax to speed up S-matric calculations (implies jax). Note: you need the SuiteSparse headers on your computer for this to work.

  • gds: enable GDS creation with GDSFactory (see GDS Taper example).

  • ipy: install useful jupyter/ipython packages.

  • dev: install dev dependencies

  • full: enable all the above features.

Documentation#

Contributors#

Credits#

  • DALL-E: “a drawing of a kitten with laser eyes walking towards me” (logo)

  • Tidy3D: meow uses the free FDE mode solver from Tidy3D.

  • SAX: meow uses SAX as its circuit simulator when cascading the overlap S-matrices.

  • klujax: Although technically an optional backend for SAX, klujax will significantly speed up the final S-matrix calculation of your structures.

  • EMEPy: an excellent alternative python-based EME solver with optional neural network mode solver.

  • Rigorous and efficient modeling of wavelength scale photonic components: PhD thesis of Peter Bienstman.

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