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

Low-loss single-mode negatively curved square-core hollow fibers

Not Accessible

Your library or personal account may give you access

Abstract

We introduce a novel design of anti-resonant fibers with negative-curvature square cores to be employed in 1.55 and 2.94 μm transmission bands. The fibers have low losses and single-mode operation via optimizing the negative curvature of the guiding walls. The first proposed fiber shows a broadband transmission window spanning 0.9–1.7 μm, with losses of 0.025 and 0.056 dB/m at 1.064 and 1.55 μm, respectively. The second proposed fiber has approximately a 0.023 dB/m guiding loss at 2.94 μm with a small cross-sectional area, useful for laser micromachining applications.

© 2017 Optical Society of America

Full Article  |  PDF Article
More Like This
Positive and negative curvatures nested in an antiresonant hollow-core fiber

Md Imran Hasan, Nail Akhmediev, and Wonkeun Chang
Opt. Lett. 42(4) 703-706 (2017)

Low-loss single-mode guidance in large-core antiresonant hollow-core fibers

Alexander Hartung, Jens Kobelke, Anka Schwuchow, Jörg Bierlich, Jürgen Popp, Markus A. Schmidt, and Torsten Frosch
Opt. Lett. 40(14) 3432-3435 (2015)

Low-loss Kagome hollow-core fibers operating from the near- to the mid-IR

N. V. Wheeler, T. D. Bradley, J. R. Hayes, M. A. Gouveia, S. Liang, Y. Chen, S. R. Sandoghchi, S. M. Abokhamis Mousavi, F. Poletti, M. N. Petrovich, and D. J. Richardson
Opt. Lett. 42(13) 2571-2574 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

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.