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pyGDM is a python toolkit for electro-dynamical simulations in nano-opticsbased on the Green Dyadic Method (GDM). In contrast to most othercoupled-dipole codes, pyGDM uses a generalized propagator, which allows tocost-efficiently solve large monochromatic problems such aspolarization-resolved calculations or raster-scan simulations with a focusedbeam or a quantum-emitter probe. A further peculiarity of this software is thepossibility to very easily solve 3D problems including a dielectric or metallicsubstrate. Furthermore, pyGDM includes tools to easily derive several physicalquantities such as far-field patterns, extinction and scattering cross-section,the electric and magnetic near-field in the vicinity of the structure, thedecay rate of quantum emitters and the LDOS or the heat deposited inside ananoparticle. Finally, pyGDM provides a toolkit for efficient evolutionaryoptimization of nanoparticle geometries in order to maximize (or minimize)optical properties such as a scattering at selected resonance wavelengths.

pyGDM -- A python toolkit for full-field electro-dynamical simulations and evolutionary optimization of nanostructures