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Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm / Peipei Li, Hongna Zhu, Stefano Taccheo, Xiaorong Gao, Zeyong Wang

Applied Optics, Volume: 56, Issue: 15, Start page: 4406

Swansea University Author: Stefano Taccheo

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DOI (Published version): 10.1364/AO.56.004406

Abstract

A governing equation of the six-wave fiber optical parametric amplifier (FOPA) for the power and phase difference evolution of the six interacting waves is deduced. To optimize the gain of the six-wave FOPA, a multivariate stochastic optimization algorithm, i.e., the genetic algorithm (GA), is appli...

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Published in: Applied Optics
ISSN: 1559-128X
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa33951
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Abstract: A governing equation of the six-wave fiber optical parametric amplifier (FOPA) for the power and phase difference evolution of the six interacting waves is deduced. To optimize the gain of the six-wave FOPA, a multivariate stochastic optimization algorithm, i.e., the genetic algorithm (GA), is applied. The effect of pump depletion on the gain characteristic of the six-wave FOPA is emphasized and the effect of the fiber length, the wavelength, and the power of two pumps on bandwidth, flatness, and magnitude of the gain spectrum has also been studied. A broader and flatter six-wave FOPA gain is obtained by adopting optimum design parameters, which theoretically provide a uniform gain of 65 dB with 0.3 dB uniformity over a 110 nm bandwidth for the six-wave FOPA.
Keywords: Optical Parametric Amplifier, Optical communications, Fiber amplifiers
College: College of Engineering
Issue: 15
Start Page: 4406