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Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser

We study the time series of the output intensity of a Raman fiber laser with an ordinal patterns analysis in the laminar-turbulent transition. We look for signatures among consecutive events that indicate when the system changes from triggering low-intensity to high-intensity events. We set two thre...

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Detalles Bibliográficos
Autores principales: Aragoneses, Andrés, Ding, Yingqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514633/
https://www.ncbi.nlm.nih.gov/pubmed/33266867
http://dx.doi.org/10.3390/e21020151
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author Aragoneses, Andrés
Ding, Yingqi
author_facet Aragoneses, Andrés
Ding, Yingqi
author_sort Aragoneses, Andrés
collection PubMed
description We study the time series of the output intensity of a Raman fiber laser with an ordinal patterns analysis in the laminar-turbulent transition. We look for signatures among consecutive events that indicate when the system changes from triggering low-intensity to high-intensity events. We set two thresholds, a low one and a high one, to distinguish between low intensity versus high-intensity events. We find that when the time series is performing low-intensity events (below the low threshold), it shows some preferred temporal patterns before triggering high-intensity events (above a high threshold). The preferred temporal patterns remain the same all through the pump current range studied, even though two clearly different dynamical regimes are covered (laminar regime for low pump currents and turbulent regime for high pump currents). We also find that the turbulent regime shows clearer signatures of determinism than the laminar regime.
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spelling pubmed-75146332020-11-09 Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser Aragoneses, Andrés Ding, Yingqi Entropy (Basel) Article We study the time series of the output intensity of a Raman fiber laser with an ordinal patterns analysis in the laminar-turbulent transition. We look for signatures among consecutive events that indicate when the system changes from triggering low-intensity to high-intensity events. We set two thresholds, a low one and a high one, to distinguish between low intensity versus high-intensity events. We find that when the time series is performing low-intensity events (below the low threshold), it shows some preferred temporal patterns before triggering high-intensity events (above a high threshold). The preferred temporal patterns remain the same all through the pump current range studied, even though two clearly different dynamical regimes are covered (laminar regime for low pump currents and turbulent regime for high pump currents). We also find that the turbulent regime shows clearer signatures of determinism than the laminar regime. MDPI 2019-02-05 /pmc/articles/PMC7514633/ /pubmed/33266867 http://dx.doi.org/10.3390/e21020151 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Aragoneses, Andrés
Ding, Yingqi
Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser
title Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser
title_full Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser
title_fullStr Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser
title_full_unstemmed Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser
title_short Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser
title_sort correlations preceding high-intensity events in the chaotic dynamics of a raman fiber laser
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514633/
https://www.ncbi.nlm.nih.gov/pubmed/33266867
http://dx.doi.org/10.3390/e21020151
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