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

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

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

Swansea University Author: Stefano Taccheo Orcid Logo

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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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last_indexed 2018-02-09T05:23:36Z
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spelling 2017-08-07T14:23:18.6103251 v2 33951 2017-05-26 Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm ab5f951bdf448ec045d42a35d95dc0bf 0000-0003-0578-0563 Stefano Taccheo Stefano Taccheo true false 2017-05-26 MECH 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. Journal Article Applied Optics 56 15 4406 1559-128X Optical Parametric Amplifier, Optical communications, Fiber amplifiers 20 5 2017 2017-05-20 10.1364/AO.56.004406 https://www.osapublishing.org/view_article.cfm?gotourl=https%3A%2F%2Fwww%2Eosapublishing%2Eorg%2FDirectPDFAccess%2FAC8B80EB-FE56-7E9E-BCD3772D0CE4FF8F_366659%2Fao-56-15-4406%2Epdf%3Fda%3D1%26id%3D366659%26seq%3D0%26mobile%3Dno&amp;org=University%20of%20Wales%20Swansea COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University 2017-08-07T14:23:18.6103251 2017-05-26T12:10:46.5890644 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Peipei Li 1 Hongna Zhu 2 Stefano Taccheo 0000-0003-0578-0563 3 Xiaorong Gao 4 Zeyong Wang 5 0033951-05062017093345.pdf li2017(8).pdf 2017-06-05T09:33:45.3370000 Output 1623295 application/pdf Accepted Manuscript true 2018-04-26T00:00:00.0000000 true eng
title Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm
spellingShingle Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm
Stefano Taccheo
title_short Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm
title_full Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm
title_fullStr Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm
title_full_unstemmed Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm
title_sort Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm
author_id_str_mv ab5f951bdf448ec045d42a35d95dc0bf
author_id_fullname_str_mv ab5f951bdf448ec045d42a35d95dc0bf_***_Stefano Taccheo
author Stefano Taccheo
author2 Peipei Li
Hongna Zhu
Stefano Taccheo
Xiaorong Gao
Zeyong Wang
format Journal article
container_title Applied Optics
container_volume 56
container_issue 15
container_start_page 4406
publishDate 2017
institution Swansea University
issn 1559-128X
doi_str_mv 10.1364/AO.56.004406
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
url https://www.osapublishing.org/view_article.cfm?gotourl=https%3A%2F%2Fwww%2Eosapublishing%2Eorg%2FDirectPDFAccess%2FAC8B80EB-FE56-7E9E-BCD3772D0CE4FF8F_366659%2Fao-56-15-4406%2Epdf%3Fda%3D1%26id%3D366659%26seq%3D0%26mobile%3Dno&amp;org=University%20of%20Wales%20Swansea
document_store_str 1
active_str 0
description 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.
published_date 2017-05-20T03:42:06Z
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score 11.036334

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