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Quantifying nanoscale electromagnetic fields in near-field microscopy by Fourier demodulation analysis

Authors :
Martin Zizlsperger
Markus A. Huber
Markus Plankl
Rupert Huber
Fabian Sandner
Fabian Mooshammer
Publication Year :
2021

Abstract

Confining light to sharp metal tips has become a versatile technique to study optical and electronic properties far below the diffraction limit. Particularly near-field microscopy in the mid-infrared spectral range has found a variety of applications in probing nanostructures and their dynamics. Yet, the ongoing quest for ultimately high spatial resolution down to the single-nanometer regime and quantitative three-dimensional nano-tomography depends vitally on a precise knowledge of the spatial distribution of the near fields emerging from the probe. Here, we perform finite element simulations of a tip with realistic geometry oscillating above a dielectric sample. By introducing a novel Fourier demodulation analysis of the electric field at each point in space, we reliably quantify the distribution of the near fields above and within the sample. Besides inferring the lateral field extension, which can be smaller than the tip radius of curvature, we also quantify the probing volume within the sample. Finally, we visualize the scattering process into the far field at a given demodulation order, for the first time, and shed light onto the nanoscale distribution of the near fields and its evolution as the tip-sample distance is varied. Our work represents a crucial step in understanding and tailoring the spatial distribution of evanescent fields in optical nanoscopy.<br />This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Photonics (copyright \copyright American Chemical Society) after peer review and technical editing by the publisher. To access the final edited and published work see https://pubs.acs.org/doi/10.1021/acsphotonics.9b01533

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....d3961e5b8e3f948750a43b0eaf9e4149