研究目的
Investigating the control and modulation of the asymmetric spectral line shape of Fano resonance in anisotropic optical systems using polarization Mueller matrix analysis.
研究成果
The chapter presents a novel approach for controlling and modulating the asymmetric spectral line shape of Fano resonance in anisotropic optical systems using polarization Mueller matrix analysis. The method enables unprecedented control over Fano resonance by exploiting the differential polarization response of the interfering modes. The study demonstrates the potential of polarization-optimized anisotropic Fano resonant systems for applications in nano-scale control and manipulation of electromagnetic waves.
研究不足
The study is limited to anisotropic optical systems and plasmonic nanostructures. The experimental setup requires precise alignment and calibration of the polarimetric platform. The approach may not be directly applicable to highly depolarizing systems without additional filtering of the depolarizing component.
1:Experimental Design and Method Selection:
The study employs a generalized model of anisotropic Fano resonance and uses polarization Mueller matrix analysis to tune the Fano interference effect. The methodology involves the use of a dark field Mueller matrix spectroscopy system to study the polarization response of Fano resonance in plasmonic systems.
2:Sample Selection and Data Sources:
The samples include plasmonic systems such as oligomers and plasmonic waveguided systems. Data is collected using a comprehensive polarimetric platform integrated with a dark field microscope.
3:List of Experimental Equipment and Materials:
The setup includes a dark field microscope, polarization state generator (PSG) and analyzer (PSA) units, spectrograph, and plasmonic nanostructures fabricated using electron beam lithography.
4:Experimental Procedures and Operational Workflow:
The procedure involves generating and analyzing polarization states using PSG and PSA units, recording spectral Mueller matrices, and extracting polarization properties using decomposition techniques.
5:Data Analysis Methods:
Data analysis involves the use of polar decomposition or differential decomposition techniques to extract and quantify individual polarization properties from the recorded Mueller matrices.
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