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FDTD with dynamic modulations in the refractive index or the gain/loss in materials.

Project description

T-Dyno

T-Dyno is a 2D finite-difference time-domain (FDTD) package.

Apart from conventional FDTD functionalities, TDyno is capable of applying dynamic modulations in both the real and the imaginary parts of the permittivity, i.e. having index modulations and gain/loss modulations.

It can thus simulate dynamically modulated optical devices such as isolators, circulators, directional absorbers, and nonreciprocal amplifiers in the time-domain.

Features

T-Dyno natively supports the following features:

  • point sources

  • Total-field scattered-field (TF/SF) sources and directional plane-wave souces with the following temporal profiles:

    • continuous waves (cw)
    • Gaussian pulses
    • wave packets, i.e. Gaussian modulated cw waves
  • Convolutional perfectly matched layers (CPML)

  • Supported materials:

    • dispersionless lossy/lossless dielectrics
    • dispersive dielectrics (Lorentz model)
    • metal (Drude model)
    • dynamically modulated refractive index
    • dynamically modulated gain and loss
  • Shapes:

    • rectangle
    • circular
    • ring
    • wedge
  • Monitors

    Point monitors: weighted sum of the wave amplitudes on a set of points. Can the energy spectral density, power spectral density, number flux spectrum and number flux rate spectrum.

    Poynting energy flux monitor: monitor the real-time energy flux through a box or any edges of the box, from inside to outside. Calculate the frequency-space integral Poynting flux spectrum.

  • User interface

    Simple user interface where you can start, pause, reset, save plot, record videos, and save monitor data.

Install

$ pip install tdyno

Or,

$ git clone git://github.com/alexsong/tdyno
$ pip install .

Requirements

  • Python 2.7 or >= 3.6
  • Numpy >= 1.11.3
  • matplotlib >= 2.0.0
  • scipy >= 0.19.0
  • for recording videos, need to install ffmpeg.

Usage

The examples in the examples/ folder are the easiest places to get started with the package.

Citing

If you find T-Dyno useful for your research, we would apprecite you citing our paper. For your convenience, you can use the following BibTex entry:

@article{song2019dynamic,
  title={Direction-dependent parity-time phase transition and nonreciprocal amplification with dynamic gain-loss modulation},
  author={Song, Alex Y. and Shi, Yu and Lin, Qian and Fan, Shanhui},
  journal={Physical Review A},
  volume={99},
  issue={1},
  pages={013824},
  numpages={7},
  year={2019},
  month={Jan},
  publisher={American Physical Society},
  doi={10.1103/PhysRevA.99.013824},
  url={https://link.aps.org/doi/10.1103/PhysRevA.99.013824}
}

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