Polarimetry with Disordered Photonic Structures

Post-print (lokagerð höfundar) In conventional Stokes polarimetry, where the polarimetric information is obtained from a series of intensity measurements, stable and accurate measurements typically require the optical elements to be carefully designed. Here, we propose a paradigm shift where deep ne...

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Bibliographic Details
Published in:ACS Photonics
Main Authors: Juhl, Michael, Leosson, Kristjan
Other Authors: Raunvísindastofnun (HÍ), Science Institute (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, University of Iceland
Format: Article in Journal/Newspaper
Language:English
Published: American Chemical Society (ACS) 2019
Subjects:
Skautun (rafsegulfræði)
Vélrænt nám
Polarimetry
Polarization selective devices
Nanophotonics
Nanótækni
Deep neural networks
Machine learning
Mueller
Rubin
Iceland
Online Access:https://hdl.handle.net/20.500.11815/3297
https://doi.org/10.1021/acsphotonics.9b01420
Description
Summary:Post-print (lokagerð höfundar) In conventional Stokes polarimetry, where the polarimetric information is obtained from a series of intensity measurements, stable and accurate measurements typically require the optical elements to be carefully designed. Here, we propose a paradigm shift where deep neural network assisted polarimeters based on disordered photonic structures perform high quality polarimetric measurements while completely removing the need for specially designed polarization analyzers, demonstrating how disordered photonic structures fabricated without the use of any nanolithography techniques can enable accurate analysis of optical signals. We implement this concept with disorder- engineered nano-scatterers that allow for analyzing varying degrees of disorder and cellophane film that demonstrate the cost-saving potential of the concept. We demonstrate polarimetric performances, calibrated using deep neural networks, that are comparable to commercial polarimeters, does not require prior knowledge of the input wavelength and show a high degree of mechanical stability. This work was supported in part by the Icelandic Research Fund under Grant 187043-0611 and in part by the Air Force O ce for Scienti c Research under MURI Grant FA9550-14-1-0389. The authors thank J.P. Balthasar Mueller, Einar B. Magnusson and Noah Rubin for valuable help and advice. The processing of gold metasurfaces was performed at the nanofabrication facility at the University of Iceland. Peer Reviewed

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