Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Rigorous diffraction analysis of metallic binary gratings

Not Accessible

Your library or personal account may give you access

Abstract

Recently, surface relief dielectric and metallic gratings have generated great interest for diffractive optics applications. High quality gratings with deep grooves and small grating periods have been recently fabricated using electron-beam technology and using holographic techniques. These gratings exhibit high diffraction efficiencies as predicted by theoretical calculations.1 In this work the rigorous coupled-wave analysis is applied to metallic binary gratings with groove depths and grating periods comparable to the wavelength of light. Two practical binary gratings are considered (a) bulk finite conductivity gratings and (b) dielectric gratings with finite conductivity metallic coatings. Diffraction characteristics, including the angular and wavelength selectivities and their dependence on groove depth, aspect ratio, and polarization are presented and compared to the diffraction characteristics of infinite conductivity gratings. The approximation of infinite conductivity is shown to give very inaccurate results.

© 1985 Optical Society of America

PDF Article
More Like This
Review and Applications of Rigorous Coupled-Wave Analysis of Grating Diffraction

Elias N. Glytsis and Thomas K. Gaylord
MD1 Difraction Optics: Design, Fabrication, and Applications (DO) 1992

Use of rigorous diffraction analysis for characterization of latent image gratings

Ken Bishop, Susan Gaspar, Kirt Hickman, S. Sohail, H. Naqvi, and John R. McNeil
FY5 OSA Annual Meeting (FIO) 1991

Rigorous Analysis of Diffraction By Finite Grating Using FEM-Based Hybrid Method: General Case of Oblique Incidence

Mohamed Basha, S. Chaudhuri, and S. Safavi-Naeini
FThP6 Frontiers in Optics (FiO) 2004

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.