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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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:
Online Access:https://hdl.handle.net/20.500.11815/3297
https://doi.org/10.1021/acsphotonics.9b01420
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spelling ftopinvisindi:oai:opinvisindi.is:20.500.11815/3297 2023-05-15T16:50:51+02:00 Polarimetry with Disordered Photonic Structures Juhl, Michael Leosson, Kristjan Raunvísindastofnun (HÍ) Science Institute (UI) Verkfræði- og náttúruvísindasvið (HÍ) School of Engineering and Natural Sciences (UI) Háskóli Íslands University of Iceland 2019-12-20 203-211 https://hdl.handle.net/20.500.11815/3297 https://doi.org/10.1021/acsphotonics.9b01420 en eng American Chemical Society (ACS) ACS Photonics;7(1) https://pubs.acs.org/doi/pdf/10.1021/acsphotonics.9b01420 Michael Juhl, Kristjan Leosson (2020). Polarimetry with Disordered Photonic Structures. ACS Photonics, 7(1), 203-211. doi:10.1021/acsphotonics.9b01420 2330-4022 (eISSN) https://hdl.handle.net/20.500.11815/3297 ACS Photonics doi:10.1021/acsphotonics.9b01420 info:eu-repo/semantics/openAccess Skautun (rafsegulfræði) Vélrænt nám Polarimetry Polarization selective devices Nanophotonics Nanótækni Deep neural networks Machine learning info:eu-repo/semantics/article 2019 ftopinvisindi https://doi.org/20.500.11815/3297 https://doi.org/10.1021/acsphotonics.9b01420 2022-11-18T06:51:50Z 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 Article in Journal/Newspaper Iceland Opin vísindi (Iceland) Mueller ENVELOPE(55.533,55.533,-66.917,-66.917) Rubin ENVELOPE(65.493,65.493,-73.438,-73.438) ACS Photonics 7 1 203 211
institution Open Polar
collection Opin vísindi (Iceland)
op_collection_id ftopinvisindi
language English
topic Skautun (rafsegulfræði)
Vélrænt nám
Polarimetry
Polarization selective devices
Nanophotonics
Nanótækni
Deep neural networks
Machine learning
spellingShingle Skautun (rafsegulfræði)
Vélrænt nám
Polarimetry
Polarization selective devices
Nanophotonics
Nanótækni
Deep neural networks
Machine learning
Juhl, Michael
Leosson, Kristjan
Polarimetry with Disordered Photonic Structures
topic_facet Skautun (rafsegulfræði)
Vélrænt nám
Polarimetry
Polarization selective devices
Nanophotonics
Nanótækni
Deep neural networks
Machine learning
description 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
author2 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
author Juhl, Michael
Leosson, Kristjan
author_facet Juhl, Michael
Leosson, Kristjan
author_sort Juhl, Michael
title Polarimetry with Disordered Photonic Structures
title_short Polarimetry with Disordered Photonic Structures
title_full Polarimetry with Disordered Photonic Structures
title_fullStr Polarimetry with Disordered Photonic Structures
title_full_unstemmed Polarimetry with Disordered Photonic Structures
title_sort polarimetry with disordered photonic structures
publisher American Chemical Society (ACS)
publishDate 2019
url https://hdl.handle.net/20.500.11815/3297
https://doi.org/10.1021/acsphotonics.9b01420
long_lat ENVELOPE(55.533,55.533,-66.917,-66.917)
ENVELOPE(65.493,65.493,-73.438,-73.438)
geographic Mueller
Rubin
geographic_facet Mueller
Rubin
genre Iceland
genre_facet Iceland
op_relation ACS Photonics;7(1)
https://pubs.acs.org/doi/pdf/10.1021/acsphotonics.9b01420
Michael Juhl, Kristjan Leosson (2020). Polarimetry with Disordered Photonic Structures. ACS Photonics, 7(1), 203-211. doi:10.1021/acsphotonics.9b01420
2330-4022 (eISSN)
https://hdl.handle.net/20.500.11815/3297
ACS Photonics
doi:10.1021/acsphotonics.9b01420
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/20.500.11815/3297
https://doi.org/10.1021/acsphotonics.9b01420
container_title ACS Photonics
container_volume 7
container_issue 1
container_start_page 203
op_container_end_page 211
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