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基于遗传算法的六波光纤光学参量放大器优化设计

Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm.

作者信息

Li Peipei, Zhu Hongna, Taccheo Stefano, Gao Xiaorong, Wang Zeyong

出版信息

Appl Opt. 2017 May 20;56(15):4406-4411. doi: 10.1364/AO.56.004406.

DOI:10.1364/AO.56.004406
PMID:29047870
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.

摘要

推导了用于描述六波相互作用的光纤光学参量放大器(FOPA)中六个相互作用光波的功率和相位差演化的控制方程。为了优化六波FOPA的增益,应用了一种多元随机优化算法,即遗传算法(GA)。重点研究了泵浦损耗对六波FOPA增益特性的影响,还研究了光纤长度、波长以及两个泵浦的功率对增益谱带宽、平坦度和幅度的影响。通过采用优化设计参数,可获得更宽且更平坦的六波FOPA增益,理论上该六波FOPA在110nm带宽内可提供65dB的均匀增益,均匀度为0.3dB。

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