Skip to main content

4x4 Transfer Matrix Method for Anisotropic Multilayer Structures, with Mueller Matrix Calculations

Project description

Hyperbolic Optics Simulation Package

License: MIT PyPI version Python 3.8+ Issues

This package provides a comprehensive suite of tools to study the reflective properties of hyperbolic materials and anisotropic structures using the 4×4 transfer matrix method. It enables easy configuration of multilayer systems, calculation of reflection coefficients, and analysis using Mueller matrices.


Table of Contents


Features

  • Simulation of Reflective Properties: Analyze how hyperbolic materials and anisotropic structures reflect light
  • Multilayer Configuration: Configure multilayer systems with customizable materials and layer properties
  • 4×4 Transfer Matrix Method: Compute reflection coefficients accurately for anisotropic media
  • Mueller Matrix Analysis: Convert reflection coefficients into Mueller matrices and simulate optical component interactions
  • Built-in Materials Library: Pre-configured materials including Quartz, Calcite, Sapphire, Gallium Oxide
  • Arbitrary Material Support: Define custom materials with arbitrary permittivity tensor
  • Multiple Scenario Types: Support for incident angle sweeps, azimuthal rotations, dispersion analysis, and single-point calculations
  • Visualization: Publication-quality plotting functionality for results analysis
  • Extensible Architecture: Modular design for easy extension with new materials and optical components

Installation

The package is now available on PyPI and can be installed using pip or uv:

Using pip

pip install hyperbolic-optics

Using uv (recommended for modern Python development)

uv add hyperbolic-optics

Development Installation

For development or to get the latest features:

git clone https://github.com/MarkCunningham0410/hyperbolic_optics.git
cd hyperbolic_optics
pip install -e .

Quick Start

Here's a simple example to get you started:

import json
from hyperbolic_optics.structure import Structure
from hyperbolic_optics.mueller import Mueller

# Define a simple multilayer structure
payload = {
    "ScenarioData": {
        "type": "Simple",
        "incidentAngle": 45.0,  # degrees
        "azimuthal_angle": 0.0,  # degrees
        "frequency": 1460.0      # cm^-1
    },
    "Layers": [
        {
            "type": "Ambient Incident Layer",
            "permittivity": 50.0
        },
        {
            "type": "Semi Infinite Anisotropic Layer",
            "material": "Calcite",
            "rotationX": 0,
            "rotationY": 90,
            "rotationZ": 0
        }
    ]
}

# Create and execute the simulation
structure = Structure()
structure.execute(payload)

# Calculate reflectivities
R_pp = abs(structure.r_pp)**2
R_ss = abs(structure.r_ss)**2
print(f"p-polarized reflectivity: {R_pp}")
print(f"s-polarized reflectivity: {R_ss}")

# Perform Mueller matrix analysis
mueller = Mueller(structure)
mueller.set_incident_polarization('linear', angle=45)
mueller.add_optical_component('anisotropic_sample')

# Get Stokes parameters and polarization properties
all_params = mueller.get_all_parameters()
print(f"Reflectance (S0): {all_params['S0']}")
print(f"Degree of polarization: {all_params['DOP']}")

Usage Examples

The examples/ folder contains simple scripts demonstrating various capabilities.

Run any example with:

python examples/basic_calcite_example.py

Advanced Features

Custom Materials

Define materials with arbitrary permittivity and permeability tensors:

custom_material = {
    "eps_xx": {"real": 2.27, "imag": 0.001},
    "eps_yy": {"real": -4.84, "imag": 0.755}, 
    "eps_zz": {"real": -4.84, "imag": 0.755},
    "eps_xy": {"real": 0.0, "imag": 0.0},
    "eps_xz": {"real": 0.0, "imag": 0.0},
    "eps_yz": {"real": 0.0, "imag": 0.0},
}

Multiple Scenario Types

  • Incident: Frequency vs incident angle analysis
  • Azimuthal: Frequency vs azimuthal rotation analysis
  • Dispersion: k-space dispersion at fixed frequency
  • Simple: Single-point calculation for specific conditions

Built-in Visualization

from hyperbolic_optics.plots import plot_mueller_dispersion, plot_kx_frequency

# Generate publication-quality plots
plot_kx_frequency(structure, reflectivity, save_name="my_plot")

Contributing

We welcome contributions! Please see our contributing guidelines for details on:

  • Reporting bugs and requesting features
  • Setting up a development environment
  • Code style and testing requirements
  • Submitting pull requests

Citation

If you use this package in your research, please cite:

Software Citation

@software{cunningham2025hyperbolic,
  title={Hyperbolic Optics Simulation Package},
  author={Mark Cunningham},
  year={2025},
  version={0.1.8},
  doi={10.5281/zenodo.14946556},
  url={https://pypi.org/project/hyperbolic-optics/},
  howpublished={PyPI},
  note={Python package for 4×4 transfer matrix method simulations}
}

Related Publications

This package was used to generate results in:

M. Cunningham et al., "Optical footprint of ghost and leaky hyperbolic polaritons," Photonics Research, vol. 13, no. 8, pp. 2291-2305 (2025). DOI: 10.1364/PRJ.558334


Known Issues / Limitations

  • Transmission Coefficients: Currently, transmission coefficients are not fully supported
  • Multiple Optical Components: While you can place multiple Mueller matrix components in series, matching incident angles between them isn't yet implemented
  • Testing: Unit tests and further best practices are still in development

Please open an issue if you encounter any bugs or have suggestions for improvements.


Papers & Further Reading

For background on the physics and mathematical methods, see:

Key References:

  • N. C. Passler and A. Paarmann, "Generalized 4 × 4 matrix formalism for light propagation in anisotropic stratified media," J. Opt. Soc. Am. B 34, 2128-2139 (2017)
  • P. Yeh, "Electromagnetic propagation in birefringent layered media," J. Opt. Soc. Am. 69, 742-756 (1979)
  • N. C. Passler et al., "Layer-resolved resonance intensity of evanescent polariton modes in anisotropic multilayers," Phys. Rev. B 107, 235426 (2023)
  • M. Cunningham et al., "Optical footprint of ghost and leaky hyperbolic polaritons," Photonics Research 13, 2291-2305 (2025)

License

This project is licensed under the MIT License – see the LICENSE file for details.


Getting Help

  • Documentation: Check the examples/ folder and docstrings
  • Issues: Report bugs or request features via GitHub Issues
  • Discussions: Start a discussion for usage questions or feature ideas

Thank you for your interest in the Hyperbolic Optics Simulation Package!

Happy simulating! 🔬✨

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hyperbolic_optics-0.1.8.tar.gz (272.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hyperbolic_optics-0.1.8-py3-none-any.whl (32.5 kB view details)

Uploaded Python 3

File details

Details for the file hyperbolic_optics-0.1.8.tar.gz.

File metadata

  • Download URL: hyperbolic_optics-0.1.8.tar.gz
  • Upload date:
  • Size: 272.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.8.22

File hashes

Hashes for hyperbolic_optics-0.1.8.tar.gz
Algorithm Hash digest
SHA256 21f1a484494f66222724810cb77e41292b09af140baa31d5409ef808022bc3da
MD5 0912367cb8c5198ce8ba5263cc822087
BLAKE2b-256 f84d6751da223fa4e4ebfa4180ae5a0aa187e651d8a406225fab0e5ba5d2240f

See more details on using hashes here.

File details

Details for the file hyperbolic_optics-0.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for hyperbolic_optics-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 af4698dfa459828fbd5e816788556236c247a3f98d39a75570ac81c7402e3d1c
MD5 7d3eec0eb7dacdd6a10883820dcd2e9b
BLAKE2b-256 bcbf372d247df0f1f3911eb892ab44623849e6490bed0c7203aeaacabc04ece7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page