Due to their wide applications in imaging, display and optical communication, polarization singularities detection has become an inescapable task in these fields. However, because of the noise and turbulence imposed during the transmission of polarization information, traditional methodologies have difficulty in recognizing the disturbed polarization state effectively. The received polarization information may be de-correlated even the input polarization singularities are the same. Therefore, it remains a challenge to detect the polarization singularities in a fluctuated environment. In this work, we experimentally explore the potential of deep-learning in the classification and regression of polarization singularities. It has been demonstrated that this approach realizes the high accuracy of 98.89% in polarization singularity classification and gets low mean absolute error (MAE) ranges of ±0.021 in polarization singularity regression. The proposed approach proves the successful classification and regression of polarization singularities using deep learning methods.
Efficient coupling of nanoemitters to photonic or plasmonic structures requires the control of the orientation of the emitting dipoles. Nevertheless controlling the dipole orientation remains an experimental challenge. Many experiments rely on the realization of numerous samples, in order to be able to statistically get a well aligned dipole to realize an efficient coupling to a nanostructure. In order to avoid these statistical trials, the knowledge of the nature of the emitter and its orientation is crucial for a deterministical approach. We developed a method [1],[2] relying on the combination of polarimetric measurement and emission diagram which gives fine information both on the emitting dipolar transition involved and on the dipolar orientation
We analyse by this method square and rectangle single colloidal CdSe/CdS nanoplatetelets. We demonstrate that their emission can be described by just by two orthogonal dipoles lying in the plane of the platelets. More surprisingly the emission of the square nanoplatelets is not polarised whereas the rectangle one is. We demonstrate that this polarized emission is due to the rectangular shape anisotropy by a dielectric effect.
[1] C. Lethiec, et al, Three-dimensional orientation measurement of a single fluorescent nanoemitter by polarization analysis, Phys. Rev. X 4, 021037 (2014),
[2] C. Lethiec et al, Polarimetry-based analysis of dipolar transitions of single colloidal CdSe/CdS dot-inrods, New Journal of Physics 16, 093014 (2014)
[3] S. Ithurria et al, colloidal nanoplatelets with 2 dimensional electronic structure, Nature Materials 10, 936 (2011)
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