Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 38,
  • Issue 8,
  • pp. 2511-2515
  • (2020)

Sensing Enhancement at an Exceptional Point in a Nonreciprocal Fiber Ring Cavity

Not Accessible

Your library or personal account may give you access

Abstract

Sensors operating at an exceptional point (EP) are sufficiently sensitive to small perturbations. In this article, we demonstrate that an EP enhances sensing in the frame of a fiber ring cavity. An air gap inserted into a fiber ring cavity couples the clockwise and counterclockwise propagating modes, leading to eigenfrequency splitting. The EP was achieved in a nonreciprocity cavity constructed using an isolator. A fiber displacement sensor was realized by monitoring the splitting strength in the spectrum, which depends on the width of the air gap. The experimental results showed that the sensitivity of the sensor at the EP was sufficiently enhanced as compared to that in the reciprocal cavity.

PDF Article
More Like This
Dominated mode switching and nanoparticle detection at exceptional points

Zijie Wang, Xiaobei Zhang, Qi Zhang, Yiqi Chen, Yang Wang, Yang Yu, Yong Yang, and Tingyun Wang
J. Opt. Soc. Am. B 40(1) 108-114 (2023)

Nonlinear-dissipation-induced nonreciprocal exceptional points

Tao Li, Zikai Gao, and Keyu Xia
Opt. Express 29(11) 17613-17627 (2021)

Enhanced sensitivity at high-order exceptional points in a passive wireless sensing system

Chao Zeng, Yong Sun, Guo Li, Yunhui Li, Haitao Jiang, Yaping Yang, and Hong Chen
Opt. Express 27(20) 27562-27572 (2019)

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

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.