/DFB-Semiconductor-Laser-Simulation-using-Python-and-Numba

DFB Semiconductor Laser Simulation using Python and Numba

Primary LanguagePython

Accelerate DFB Semiconductor Laser Simulation using Python and Numba

This Python script simulates the behavior of a distributed feedback (DFB) semiconductor laser. It models the laser dynamics, output power over time, and optical spectrum. The simulation is based on a set of differential equations and numerical methods.

Author: Dr. Mohammed Mehdi Bouchene

References:

  1. Bouchene, M. M., & Hamdi, R. (2018). The effect of facets reflectivity on the static characteristics of (DFB) semiconductor laser. In 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM) (pp. 1-4). IEEE.

Simulation Details:

  • The simulation considers a DFB semiconductor laser with specific material and structure parameters.
  • The laser operates in the bulk regime.

Customization

To adapt the existing code for different laser structures (such as quantum well or multiple quantum well), follow these steps:

  1. Quantum Well (QW) Structure:

    • Modify the effective index (neff) and gain medium properties.
    • In a QW laser, the active region consists of thin quantum wells separated by barrier layers.
    • Adjust the material parameters (e.g., carrier density, differential gain, and non-linear gain saturation) to match QW characteristics.
    • Consider the impact of quantum confinement on carrier distribution and gain.

  2. Multiple Quantum Well (MQW) Structure:

    • Similar to QW but with stacked wells.
    • Modify the simulation to account for multiple wells (each with its own properties) within the active region.
    • Adjust the carrier distribution equations to handle multiple energy levels.
    • Consider effects like inter-well coupling and tunneling.

Physics Behind DFB Laser:

  • DFB lasers are semiconductor lasers with a periodic grating structure providing distributed feedback for single-mode operation.
  • Carrier distribution, gain, and loss mechanisms affect laser behavior.
  • The simulation accounts for spontaneous emission, gain saturation, and other physical effects.

Implementation Details:

  • The actual implementation details are omitted for brevity.
  • Users investigating the code should be familiar with time-dependent coupled wave equations and DFB laser physics.
  • Ensure that you have the following libraries installed: numpy, matplotlib, scipy, numba

Simulation Parameters:

  • Parameters (material properties, laser dimensions, facets reflectivity) are defined at the beginning of the script.
  • Modify these parameters to study different laser configurations.

Output:

  • The script computes the laser output power over time (right facet).
  • It generates an optical spectrum (wavelength vs. relative power).