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

Synthesis, Characterization and Applications of Mid-infrared Optical Fibers

Not Accessible

Your library or personal account may give you access

Abstract

Chaclogenide glass constitute a unique class of materials that combine both excellent rheological properties for shaping and fiber drawing and extended infrared transparency up to 25 microns [1]. In fact they constitute the only class of amorphous materials with transparency through the mid-IR. Their base constituent atoms are S, Se and Te combined with neighboring elements such as Ge, As, Sb, Ga or I. Due to the heavy mass of these constituent elements the frequency of the multiphonon cut-off can be pushed far into the mid-IR. As depicted in the figure below, the width of the optical window is directly dependent on the mass of the relative constituents with oxide glasses typically cutting near 5 microns while sulfide can extend to 12 microns, selenide to 19 microns and telluride all the way down to 25 microns.

© 2014 Optical Society of America

PDF Article
More Like This
Chalcogenide optical fibers for mid-infrared sensing: State of the art, future strategies

Bruno Bureau, Catherine Boussard-Plédel, Virginie Nazabal, Jean-Luc Adam, and Jacques Lucas
SeTh1C.1 Optical Sensors (Sensors) 2014

Fabrication and Characterization of Side-Polished Fiber Coupler for Mid-Infrared Applications

Yung Kim and Kwang Jo Lee
SeW3E.1 Optical Sensors (Sensors) 2018

Optical characterization of a single mode Mid Infrared microstructured optical fiber up to 10 μm: Potential for supercontinuum generation and applications for QCLs based sensors

L. Brilland, L. Provino, S. Venck, D. Méchin, C. Caillaud, S. Ferre, C. Gilles, L. Jumpertz, M. Carras, and J. Troles
CN_1_5 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2015

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.