Genetic algorithm for the location control of femtosecond laser filament

An adaptive method based on the genetic algorithm (GA) is proposed to control the location of femtosecond laser filament. To verify the feasibility of this method, the simulation results obtained through the GA method are compared with those by the chirp method when femtosecond laser pulses with dif...

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Detalles Bibliográficos
Autores principales: Zhang, Zhi, Kosareva, Olga, Zhang, Nan, Lin, Lie, Liu, Weiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393089/
https://www.ncbi.nlm.nih.gov/pubmed/32733085
http://dx.doi.org/10.1038/s41598-020-69918-8
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author Zhang, Zhi
Kosareva, Olga
Zhang, Nan
Lin, Lie
Liu, Weiwei
author_facet Zhang, Zhi
Kosareva, Olga
Zhang, Nan
Lin, Lie
Liu, Weiwei
author_sort Zhang, Zhi
collection PubMed
description An adaptive method based on the genetic algorithm (GA) is proposed to control the location of femtosecond laser filament. To verify the feasibility of this method, the simulation results obtained through the GA method are compared with those by the chirp method when femtosecond laser pulses with different pulse energies are used. It is found that the intensity profile and the phase of the femtosecond laser pulses obtained by the GA method are nearly identical to those obtained by the chirp method. It demonstrates that the GA adaptive control method can accurately control the position of the starting point of the filament in the femtosecond laser filamentation.
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spelling pubmed-73930892020-08-03 Genetic algorithm for the location control of femtosecond laser filament Zhang, Zhi Kosareva, Olga Zhang, Nan Lin, Lie Liu, Weiwei Sci Rep Article An adaptive method based on the genetic algorithm (GA) is proposed to control the location of femtosecond laser filament. To verify the feasibility of this method, the simulation results obtained through the GA method are compared with those by the chirp method when femtosecond laser pulses with different pulse energies are used. It is found that the intensity profile and the phase of the femtosecond laser pulses obtained by the GA method are nearly identical to those obtained by the chirp method. It demonstrates that the GA adaptive control method can accurately control the position of the starting point of the filament in the femtosecond laser filamentation. Nature Publishing Group UK 2020-07-30 /pmc/articles/PMC7393089/ /pubmed/32733085 http://dx.doi.org/10.1038/s41598-020-69918-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Zhi
Kosareva, Olga
Zhang, Nan
Lin, Lie
Liu, Weiwei
Genetic algorithm for the location control of femtosecond laser filament
title Genetic algorithm for the location control of femtosecond laser filament
title_full Genetic algorithm for the location control of femtosecond laser filament
title_fullStr Genetic algorithm for the location control of femtosecond laser filament
title_full_unstemmed Genetic algorithm for the location control of femtosecond laser filament
title_short Genetic algorithm for the location control of femtosecond laser filament
title_sort genetic algorithm for the location control of femtosecond laser filament
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393089/
https://www.ncbi.nlm.nih.gov/pubmed/32733085
http://dx.doi.org/10.1038/s41598-020-69918-8
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AT linlie geneticalgorithmforthelocationcontroloffemtosecondlaserfilament
AT liuweiwei geneticalgorithmforthelocationcontroloffemtosecondlaserfilament

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