Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2013 Conference on Lasers and Electro-Optics - International Quantum Electronics Conference
  • (Optica Publishing Group, 2013),
  • paper CC_P_7

Efficient coupling of broadband terahertz radial beams to metal wires

Not Accessible

Your library or personal account may give you access

Abstract

At present, most terahertz (THz) technologies rely on free propagation rather than waveguide transportation. These systems have limitations such as large diffraction, and bulky volume, THz waveguides provide a promising approach to overcome these hurdles. Bare metal wires, which support a plasmonic mode, on their surfaces in THz range, are one of good candidates for THz waveguides with low loss and low dispersion [1]. Nevertheless, large mode mismatch between radially-polarized mode of a metal wire and linearly polarized mode in a free space hampers efficient coupling. Thus, coupling efficiency reported so far is lower than 0.5% [1, 2]. Attempts to increase the coupling efficiency of metal wire waveguides have been made, yet till now, to our knowledge, high-efficient coupling of broadband propagating THz wave to bare metal wires is not realized, and experimental investigations to determine coupling efficiency are not performed.

© 2013 IEEE

PDF Article
More Like This
Generation of Broadband Terahertz Pulses on a Metal Wire Waveguide via Optical Rectification

Ajay Nahata and Hua Cao
TuB1 Nonlinear Optics: Materials, Fundamentals and Applications (NLO) 2007

Plasmonic Two-Wire Terahertz Fibers with Highly Porous Dielectric Support

Andrey Markov and Maksim Skorobogatiy
FTu1B.2 Frontiers in Optics (FiO) 2013

Coupling Multi-cycle Terahertz Pulses onto a Metal Wire Waveguide Using a Subwavelength Coaxial Aperture

Amit Agrawal and Ajay Nahata
WC3 Optical Terahertz Science and Technology (OTST) 2007

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.