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Kvantovaya Elektronika, 2017, Volume 47, Number 12, Pages 1150–1153 (Mi qe16729)  

This article is cited in 2 scientific papers (total in 2 papers)

Special Issue 'Optical Fibres and Their Applications'

Spatiotemporal multiplexing based on hexagonal multicore optical fibres

I. S. Chekhovskoyab, M. A. Sorokinac, A. M. Rubenchikd, M. P. Fedorukab

a Novosibirsk State University
b Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
c Aston Institute of Photonic Technologies, Aston University, Birmingham
d Lawrence Livermore National Laboratory, USA
References:
Abstract: Based on a genetic algorithm, we have solved the problem of finding the parameters of optical Gaussian pulses which make their efficient nonlinear combining possible in one of the peripheral cores of a 7-core hexagonal fibre. Two approaches based on individual selection of peak powers and field phases of the pulses launched into the fibre are considered. The found regimes of Gaussian pulse combining open up new possibilities for the development of devices for controlling optical radiation.
Keywords: multicore fibre, nonlinear Schrödinger equation, genetic algorithm, nonlinear combining of pulses.
Funding agency Grant number
Russian Science Foundation 17-72-30006
Received: 16.10.2017
English version:
Quantum Electronics, 2017, Volume 47, Issue 12, Pages 1150–1153
DOI: https://doi.org/10.1070/QEL16536
Bibliographic databases:
Document Type: Article
Language: Russian
Supplementary materials:
pic_3.pdf (992.4 Kb)


Citation: I. S. Chekhovskoy, M. A. Sorokina, A. M. Rubenchik, M. P. Fedoruk, “Spatiotemporal multiplexing based on hexagonal multicore optical fibres”, Kvantovaya Elektronika, 47:12 (2017), 1150–1153 [Quantum Electron., 47:12 (2017), 1150–1153]
Linking options:
  • https://www.mathnet.ru/eng/qe16729
  • https://www.mathnet.ru/eng/qe/v47/i12/p1150
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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