Modeling and numerical simulation optimization for  minimizing the gain spectrum of bismuth-doped broadband  fiber amplifiers at 1200-1800 nm

Nan Chen; Yi Zhang

doi:10.54254/2755-2721/11/20230205

Research Article

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Published on 25 September 2023

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Chen,N.;Zhang,Y. (2023). Modeling and numerical simulation optimization for minimizing the gain spectrum of bismuth-doped broadband fiber amplifiers at 1200-1800 nm. Applied and Computational Engineering,11,46-51.

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Modeling and numerical simulation optimization for minimizing the gain spectrum of bismuth-doped broadband fiber amplifiers at 1200-1800 nm

Nan Chen *^,1, Yi Zhang ²

¹ Guangdong Ocean University
² Xi’an Jiaotong-liverpool University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/11/20230205

Abstract

Research on optical fiber amplifiers has gotten much more in-depth in recent years as a direct result of the emergence of the information age. The most effective of these materials are optical fibers that have been doped with rare earth elements. Lasers that have gain media composed of rare-earth doped optical fibers find widespread use in fields such as optical communication, medicine, and the processing of materials. For different rare earth ions, especially for bismuth-doped fiber amplifiers, bismuth-doped fiber has a good prospect in fiber amplifiers and lasers due to its unique luminescence characteristics and ultra-wideband near-infrared luminescence of bismuth. Therefore, for bismuth-doped fiber amplifiers, in this paper, the pump wavelength is designed for the signal wavelength range, energy level structure, and electron transition process. The corresponding rate equation and power equation are established. At the same time, the gain spectrum changes with the fiber length and doping concentration are calculated using Matlab programming, and the maximum and minimum gain differences are minimized using Matlab calculations.

Keywords

fiber amplifier, bismuth-doped fiber, matlab, gain.

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References

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

Conference website: https://2023.confmss.org/

ISBN：978-1-83558-011-0(Print) / 978-1-83558-012-7(Online)

Conference date: 24 June 2023

Editor：Alan Wang, Seyed Ghaffar

Series: Applied and Computational Engineering

Volume number: Vol.11

ISSN：2755-2721(Print) / 2755-273X(Online)

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