An Ultra-Broadband High Efficiency Polarization Beam Splitter for High Spectral Resolution Polarimetric Imaging in the Near Infrared.

gap-plasmon metasurface high-resolution multiple-species atmospheric profiler plasmon hybridization spatial-spectral-polarimetric images

Journal

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569

Informations de publication

Date de publication:
Sep 2022
Historique:
revised: 19 05 2022
received: 02 03 2022
pubmed: 14 7 2022
medline: 14 7 2022
entrez: 13 7 2022
Statut: ppublish

Résumé

A broadband, high efficiency polarized beam splitter (PBS) metagrating based on integrated resonant units (IRUs) to enable simultaneous polarization analysis, spectral dispersion, and spatial imaging in the near infrared (NIR) is developed. A PBS metagrating with a diameter of 60 mm is the key technology component of the high-resolution multiple-species atmospheric profiler in the NIR (HiMAP-NIR), which is a spaceborne instrument concept crafted to be a core payload of NASA's new generation Earth System Observatory. HiMAP-NIR will enable the aerosol profiling in Earth's planetary boundary layer (from surface to2 km altitude) by simultaneously measuring four spatial-spectral-polarimetric images from 680 to 780 nm. Through detailed optimization of hybridized resonant modes in IRUs, the PBS metagrating shows a diffraction efficiency of 70% (or better) for all four linear-polarized incident light, and polarization contrasts between orthogonal states are 0.996 (or better) from 680 to 780 nm. It meets the stringent performance required by the HiMAP-NIR exploiting a new paradigm for the broad applications of metasurfaces.

Identifiants

pubmed: 35821385
doi: 10.1002/advs.202201227
pmc: PMC9507354
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2201227

Subventions

Organisme : NASA Earth Science Technology Office directed Research and Technology Development (R&TD) task; Jet Propulsion Laboratory Strategic Initiative R&TD program; NASA Atmospheric Composition: Aura Science Team and Atmospheric Composition Modeling and Analysis Program
ID : #NNN13D455T
Organisme : Ministry of Science and Technology of Taiwan
ID : 110-2112-M-003-020-MY3

Informations de copyright

© 2022 The Authors. Advanced Science published by Wiley-VCH GmbH.

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Auteurs

Hui-Hsin Hsiao (HH)

Institute of Electro-Optical Engineering, National Taiwan Normal University, Taipei, 11677, Taiwan.

Richard E Muller (RE)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

James P McGuire (JP)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Deacon J Nemchick (DJ)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Chin-Hung Shen (CH)

Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, 10617, Taiwan.

Gerard van Harten (GV)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Mayer Rud (M)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

William R Johnson (WR)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Austin D Nordman (AD)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Yen-Hung Wu (YH)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Daniel W Wilson (DW)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Yih-Peng Chiou (YP)

Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, 10617, Taiwan.

Myungje Choi (M)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Jason J Hyon (JJ)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Dejian Fu (D)

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.

Classifications MeSH