Literature DB >> 24216642

Gain optimization of fiber optical parametric amplifier based on genetic algorithm with pump depletion.

Yulin Liu, Zeyong Wang, Hongna Zhu, Xiaorong Gao.   

Abstract

A method to optimize the gain of a fiber optical parametric amplifier (FOPA) is presented by using a genetic algorithm (GA), which can determine the parameters of FOPA and avoid the trouble of trial and error to achieve it. The effect of pump depletion on the gain characteristic of the FOPA is emphasized, and the effects of the fiber length, the wavelength, and the power of two pumps on bandwidth, flatness, and magnitude of the gain spectrum are also studied. According to the presentation, fiber length and the wavelength of the two pumps are selected to be the variable parameters in the GA. When the parameters of the fiber are determined, with the numerical simulation, the optimum combination scheme between those chosen variables could be obtained by the algorithms with the result of the gain optimization of FOPA.

Entities:  

Year:  2013        PMID: 24216642     DOI: 10.1364/AO.52.007445

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  1 in total

1.  Reducing electric-field-enhancement in metal-dielectric grating by designing grating with asymmetric ridge.

Authors:  Junming Chen; Haopeng Huang; Yibing Zhang; Yonglu Wang; Fanyu Kong; Yanzhi Wang; Yunxia Jin; Peng Chen; Jiao Xu; Jianda Shao
Journal:  Sci Rep       Date:  2018-03-27       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.