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Table of Contents

Contents:

  • Requirements / Installation
  • Changelog
  • Overview
  • Quickstart
  • Tutorials
  • Examples
  • Gallery
  • API documentation

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Simulation description

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API documentationΒΆ

pyGDM2 - a full-field electrodynamical solver python module, based on the Green dyadic method.

Contents:

  • Simulation description
    • structures
      • structure definition class struct
      • Structure generators
      • Mesher
      • Other functions
    • materials
      • fromFile class
      • Predefined materials
    • fields
      • Incident electro-magnetic field class efield
      • field generators
  • Core
    • core
      • simulation description class
      • electric fields inside particle
      • decay rate of dipole transition
      • Other functions
  • Processing
    • linear
      • extinction/absorption/scattering cross-sections
      • nearfield around structure
      • farfield patterns
      • heat deposition inside structure
      • temperature rise close to structure
      • dipole decay rate evaluation
    • nonlinear
      • TPL and SP-LDOS
  • Visualization, tools
    • visu
      • structure geometry
      • vector fields
      • scalar fields
      • animation
    • visu3d
      • structure geometry
      • vector fields
      • scalar fields
      • animation
    • tools
      • Save / Load / Print info
      • Field-index searching
      • Structure geometry tools
      • Spectra tools
      • Raster-scan tools
      • Coordinate-list transformations
      • 2D-mapping coordinate generators
      • Other
  • Evolutionary Optimization
    • EO.core
      • run_eo: Launch an optimization
      • continue_eo: continue a former optimization
    • EO.models
      • BaseModel: Base class for model definitions
      • Predefined models
    • EO.problems
      • BaseProblem: Base class for problem definitions
      • Predefined problems
    • EO.tools
      • Get results from stored optimization
      • Results from Pareto multi-objective optimization
      • Other tools related to the Evolutionary Optimization module

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