4.5 Article

Dispersion managed generation of Peregrine solitons and Kuznetsov-Ma breather in an optical fiber

期刊

PHYSICS LETTERS A
卷 392, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.physleta.2020.127134

关键词

Peregrine solitons; Periodic dispersion management; Rogue waves; Similarity transformation; Pseudo-spectral method

资金

  1. MHRD, Government of India
  2. Science and Engineering Research Board (SERB), Government of India under MATRICS scheme [MTR/2019/000945]
  3. Science and Engineering Research Board (DST-SERB) [SB/DF/O4/2017]
  4. University Grants Commission (UGC), Government of India [F.4-2/2006 (BSR)/PH/19-20/0025]

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Optical rogue waves and their variants have been extensively studied in the context of optical fiber, with Kuznetsov-Ma breathers generated from rational solutions of the nonlinear Schrodinger equation with periodic modulation of the dispersion coefficient. The dynamics of these breathers can be controlled by selecting appropriate modulating parameters, and new breather-like solutions can evolve corresponding to higher-order rational solutions. Direct numerical simulations based on modulational instability confirm the analytical results, making the proposed system more feasible for experimental realization.
Optical rogue waves and its variants have been studied quite extensively in the context of optical fiber in recent years. It has been realized that dispersion management in optical fiber is experimentally much more feasible compared to its nonlinear counterpart. In this work, we report Kuznetsov-Ma (KM)-like breathers from the first three orders of rational solutions of the nonlinear Schrodinger equation with periodic modulation of the dispersion coefficient along the fiber axis. The breather dynamics are then controlled by proper choice of modulating parameters. Additionally, the evolution of new one-peak and two-peak breather-like solutions has been displayed corresponding to the second-order rational solution. Direct numerical simulations based on modulational instability has also been executed which agree well with the analytical results, thereby making the proposed system more feasible for experimental realization. (C) 2021 Elsevier B.V. All rights reserved.

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