Tutorials

in contrast to the examples, which demonstrate pyGDM simulations on actual physical problems, this section contains more technical tutorials.

Note

You can download also the source code of the example and tutorial files.

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

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