RDDA method for characterization of photonic nanojets

This paper presents a reduced discrete dipole approximation (RDDA) method as a flexible and powerful tool for computing the field distribution of photonic nanojets (PNJs) based on superposition of the induced dipole radiation fields with a low number of lattice points at the surface of microparticles. Microparticles with spherical and ellipsoidal shapes have been studied using the RDDA method to produce PNJs. The incident beam polarization and filling factor effects in the PNJs’ shape and confinement strength have been characterized by quality factor Q . The best confined PNJs have been found in microellipsoids with a specific range of the shape parameter and filling factor values.