A newer version of the Gradio SDK is available:
6.3.0
title: BPM
emoji: 📈
colorFrom: green
colorTo: pink
sdk: gradio
sdk_version: 5.28.0
app_file: app.py
pinned: false
short_description: beam go brrrr
BPM
Beam Propagation Method
BPM is a Python library for simulating beam propagation in integrated photonics using the Beam Propagation Method (BPM). The package provides functions to generate refractive index distributions for various structures (e.g., lenses, waveguides, and MMI splitters), a mode solver for slab waveguides, and BPM propagation routines with support for Perfectly Matched Layers (PML) for absorbing boundary conditions.
Currently it is 2D only, and use analytic solutions to launch slab modes. Propagation direction is upward and is called z. Transverse direction is x.
Features
- Generate refractive index distributions:
- Spherical lens
- S-bend waveguide
- MMI-based splitter
- Solve for guided slab waveguide modes (even/odd modes)
- BPM propagation using a Runge-Kutta integrator
- PML boundary absorption
- [] Import from GDSII
Installation
Clone the repository and install using pip:
git clone https://github.com/jwt625/bpm.git
cd bpm
pip install -e .
Examples
Slab mode solver and launcher:
Refractive index distribution of an MMI:
Simulated example MMI:
Simulated example S bend. The waveguide is multimode:
References
Optical tomographic reconstruction based on multi-slice wave propagation method
Light propagation through microlenses: a new simulation method
Light propagation in graded-index optical fibers
- https://doi.org/10.1364/AO.17.003990
- this one is a classic
Numerical Simulation of Optical Wave Propagation with Examples in MATLAB
Photonic Devices for Telecommunications
Papers cited in chapter 2.2.1 of the book:
- Chung1990: An assessment of finite difference beam propagation method
- Vassallo1992: Improvement of finite difference methods for step-index optical waveguides