pyMMF

• pyMMF
  • What is it?
  • Citing the code
  • Online mode predictions
  • Installation
  • Documentation
  • Contributions
  • How does it work?
    • Semi-analytical solver for step-index
    • Radial solver
    • Eigenvalue solver
    • WKB solver
  • Simple examples
    • Example 1: Finding the modes of a graded index fiber (GRIN)
      • Preambule
      • Parameters
      • Index profile
      • Run the solver
      • Results
    • Other examples
• Examples
  • Graded index fiber using the radial solver
    • 1. Fiber parameters
    • 2. Compute the mode with radial solver
    • 3. Results
      • Dispersion
      • Display some modes
    • 4. Save the data
  • Straight step index fibers
    • 1. Fiber parameters
    • 2. Compute the mode with three different solvers
      • 2.1 Index profile
      • 2.2 Semi-analytical solution: SI solver
      • 2.3 Solving the 2d Eigenvalue solver: eig solver (slow)
      • 2.4 Finding the 1d radial solution: radial solver (fast, more precise)
    • 3. Comparing results
      • 3.1 Dispersion
      • 2.2 Comparing numerical solutions to LP modes
  • Square fiber using the 2D Eigen-problem solver
    • 1. Fiber parameters
    • 2. Create index profile
    • 3. Using the radial solver
      • 3.1 Estimate the number of modes
      • 3.2 Solve the modes with the Eigen-problem solver
    • 4. Results
      • 4.1 Show dispersion
      • 4.2 Display some modes
  • pyMMF vs FDTD simulations (Comsol) for GRIN
    • 1. Parameters of the fiber
    • 2. Compute transverse modes using pyMMF’s axisymmetric solver
      • Get the mode matrix and rearrange to mode order
    • 3. Compute transverse modes using pyMMF’s 2D finite difference eigenvalue solver
    • 4. WKB approximation
    • propagation constants under WKB approximation
      • Mode profile under WKB approximation
    • 5. Load Comsol data
      • Show one mode
    • 6. Compare propagation constants
      • 6.1 Whole range
      • 6.2 Zoom on lower order modes
      • 6.3 Zoom on higher order modes
    • 7. Projection of one basis onto the other one
      • First compute the mask corresponding to groups of degenerate modes
      • 7.1 Display conversion matrices
      • 7.2 Conversion efficiency per mode
      • 7.3 Global conversion losses
• API Reference
  • Classes
    • pyMMF.IndexProfile
      • IndexProfile
      • pyMMF.IndexProfile.fromFile
      • pyMMF.IndexProfile.getOptimalSolver
      • pyMMF.IndexProfile.initFromArray
      • pyMMF.IndexProfile.initFromRadialFunction
      • pyMMF.IndexProfile.initParabolicGRIN
      • pyMMF.IndexProfile.initStepIndex
      • pyMMF.IndexProfile.load
      • pyMMF.IndexProfile.plot
      • pyMMF.IndexProfile.save
    • pyMMF.propagationModeSolver
      • propagationModeSolver
      • pyMMF.propagationModeSolver.setIndexProfile
      • pyMMF.propagationModeSolver.setPoisson
      • pyMMF.propagationModeSolver.setWL
      • pyMMF.propagationModeSolver.solve
    • pyMMF.Modes
      • Modes
  • Helper functions
    • pyMMF.estimateNumModesSI
      • estimateNumModesSI()
    • pyMMF.estimateNumModesGRIN
      • estimateNumModesGRIN()
• Release notes
  • 0.7
    • New features
    • Changes
  • 0.6
    • Bug correction
    • Changes
  • 0.5
    • Changes
  • 0.1

Index

Index