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

Diameter Measurement of Optical Microfiber using Modal Evolution

Not Accessible

Your library or personal account may give you access

Abstract

We investigate the waist diameter of Tapered Optical Fiber (TOF) using the mode evolution during the tapering process of single mode optical fiber (SMF28) through Short Time Fourier Transform (STFT) analysis. During the fiber pulling process, some of modes exited due to waveguide modification of TOF, hence, interfere with each other, resulting an up-chirp signal. Analyzing with STFT, reveals spatial beat frequencies between different modes. Determining the cut-off value for spatial frequencies and the knowledge of theoretical cut-off diameter for different modes, the final diameter of waist region with precision of 4 nm can be estimated. Finally, the cut-off diameter was calibrated with conventional scanning electron microscopy (SEM) and then different spectra for different TOF structure are analyzed. The calculated and imaging data is in a good agreement with each other. We propose this method for characterization and optimizing of TOF fabrication process such as control the waist radius, the number of modes and their propagation constants.

© 2018 The Author(s)

PDF Article
More Like This
Diameter Measurement of Optical Nanofibers by Using a Commercial and Standardized Ruled Grating

Ming Zhu, Yao-Ting Wang, Yi-Zhi Sun, and Wei Ding
W4E.3 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2018

Brillouin reflectometry of optical microfibers

A. Godet, J.-C. Beugnot, A. Ndao, V. Pecheur, K. P. Huy, and T. Sylvestre
SoW3H.4 Specialty Optical Fibers (SOF) 2018

Liquid-level Sensor Using Optical Microfiber Probe

Junjie Wang, Yanpeng Li, Lingduo Li, Wei Zhang, Zhijun Yan, Qizhen Sun, and Deming Liu
ATh3Q.3 CLEO: Applications and Technology (CLEO:A&T) 2018

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.