Reconstructing fine details of small objects by using plasmonic spectroscopic data. Part II: The strong interaction regime

TL;DR

This paper develops a new mathematical method using conformal mapping to reconstruct small objects from plasmonic spectroscopic data in the strong interaction regime, overcoming limitations of previous perturbation approaches.

Contribution

It introduces a novel conformal mapping technique to analyze strong field interactions for object reconstruction, extending the mathematical foundation of plasmonic sensing.

Findings

Successfully reconstructs object shape in strong interaction regime

Develops a conformal mapping approach for frequency shift analysis

Provides numerical validation with optimal control algorithms

Abstract

This paper is concerned with the inverse problem of reconstructing a small object from far field measurements by using the field interaction with a plasmonic particle which can be viewed as a passive sensor. It is a follow-up of the work [H. Ammari et al., Reconstructing fine details of small objects by using plasmonic spectroscopic data, SIAM J. Imag. Sci., to appear], where the intermediate interaction regime was considered. In that regime, it was shown that the presence of the target object induces small shifts to the resonant frequencies of the plasmonic particle. These shifts, which can be determined from the far field data, encodes the contracted generalized polarization tensors of the target object, from which one can perform reconstruction beyond the usual resolution limit. The main argument is based on perturbation theory. However, the same argument is no longer applicable in the strong interaction regime as considered in this paper due to the large shift induced by strong field interaction between the particles. We develop a novel technique based on conformal mapping theory to overcome this difficulty. The key is to design a conformal mapping which transforms the two particle system into a shell-core structure, in which the inner dielectric core corresponds to the target object. We show that a perturbation argument can be used to analyze the shift in the resonant frequencies due to the presence of the inner dielectric core. This shift also encodes information of the contracted polarization tensors of the core, from which one can reconstruct its shape, and hence the target object. Our theoretical findings are supplemented by a variety of numerical results based on an efficient optimal control algorithm. The results of this paper make the mathematical foundation for plasmonic sensing complete.