Tutorials

in contrast to the examples, which demonstrate pyGDM simulations on actual physical problems, this section contains more technical tutorials. Note: The syntax of the example and tutorial notebooks is python 2 only.

Note

You can download also the source code of the example and tutorial files (these are python 2 and 3 compatible).

Use pyGDM

Tutorials about the main pyGDM toolkit:

• Tutorial: Calculating Spectra
  • Setting up the simulation
  • Run the simulation
  • Short comment: Structure of the simulation results
  • Evaluating the simulation
  • Calculating a spectrum
  • Simulation with polarization dependent response
• Tutorial: Field-maps
  • Simulation: Silicon nanowire
  • OK, now we need to calculate field-maps outside the structure
  • Scattered electric field
  • Scattered magnetic field
• Tutorial: Raster-scan simulations - Thermoplasmonics
  • Simulation setup
  • Let’s run the simulation:
  • Calcuate raster-scan maps
  • Plotting the maps
• Tutorial: Raster-scan simulations - photonic LDOS
  • Simulation setup
  • Let’s run the simulations:
  • Calcuate raster-scan maps
  • Plotting the maps
• Tutorial: Visualize the indicent field
  • We first load some modules
  • The field generator
  • Setup the test frame and evaluate the field
  • Plot the result of the field-generator
• Tutorial: MPI-parallelized calculation of spectra
  • Load modules
  • Config of the simulation
  • Run the simulation with the MPI wrapper to core.scatter
  • Timing of the above example
• Tutorial: Multi-material and graded structures
  • Load modules
  • Gold-Silicon-Gold sandwich structure
  • Structure with graded refractive index
  • Run simulation and plot

Extend pyGDM

Tutorials on how to extend the main pyGDM toolkit:

• Tutorial: Own structures and materials
  • First load pyGDM
  • Implement a structure generator
  • Implement a material dispersion class
  • Test the own model in a simulation
• Tutorial: Own field generators
  • We first load some modules
  • Implement the field generator
  • Evaulate the new field generator in a test frame
  • Plot the result of the field-generator

Use Evolutionary Optimization Toolkit

Note

The tutorials on the EO-module are not deterministic. It is completely normal that the results differ from run to run.

Tutorials about the evolutionary optimization interface in pyGDM:

• Tutorial: Own Problems and Models for Evolutionary Optimization
  • Implementing a Geometry Model
  • Implementing an Optimization Problem
  • Running the Optimization
  • Analyze and plot the results
  • Calculate a Scattering Spectrum for the Resulting Structure
  • Note: Technical Detail
• Problem Multi-objective optimization problem
  • Load the modules
  • Define a multi-objective problem
  • Optimization setup
  • Run the multi-objective optimization
  • Reload and analyze multi-objective results
  • Choose the solutions
  • Analyze the Pareto-optimum solutions
  • Calculate scattering spectra
  • Plot the spectra