Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical Feedback

Abstract Complex systems performing spiking dynamics are widespread in Nature. They cover from earthquakes, to neurons, variable stars, social networks, or stock markets. Understanding and characterizing their dynamics is relevant in order to detect transitions, or to predict unwanted extreme events...

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Main Authors: Meritxell Colet, Andrés Aragoneses
Format: Article
Language:English
Published: Nature Portfolio 2018-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-018-29110-5
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author Meritxell Colet
Andrés Aragoneses
author_facet Meritxell Colet
Andrés Aragoneses
author_sort Meritxell Colet
collection DOAJ
description Abstract Complex systems performing spiking dynamics are widespread in Nature. They cover from earthquakes, to neurons, variable stars, social networks, or stock markets. Understanding and characterizing their dynamics is relevant in order to detect transitions, or to predict unwanted extreme events. Here we study, under an ordinal patterns analysis, the output intensity of a semiconductor laser with feedback in a regime where it develops a complex spiking behavior. We unveil that, in the transitions towards and from the spiking regime, the complex dynamics presents two competing behaviors that can be distinguished with a thresholding method. Then we use time and intensity correlations to forecast different types of events, and transitions in the dynamics of the system.
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spelling doaj.art-b195b21abf8e492da046a8f1605c48702022-12-21T23:38:02ZengNature PortfolioScientific Reports2045-23222018-07-01811710.1038/s41598-018-29110-5Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical FeedbackMeritxell Colet0Andrés Aragoneses1Carleton College, Department of Physics and AstronomyCarleton College, Department of Physics and AstronomyAbstract Complex systems performing spiking dynamics are widespread in Nature. They cover from earthquakes, to neurons, variable stars, social networks, or stock markets. Understanding and characterizing their dynamics is relevant in order to detect transitions, or to predict unwanted extreme events. Here we study, under an ordinal patterns analysis, the output intensity of a semiconductor laser with feedback in a regime where it develops a complex spiking behavior. We unveil that, in the transitions towards and from the spiking regime, the complex dynamics presents two competing behaviors that can be distinguished with a thresholding method. Then we use time and intensity correlations to forecast different types of events, and transitions in the dynamics of the system.https://doi.org/10.1038/s41598-018-29110-5
spellingShingle Meritxell Colet
Andrés Aragoneses
Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical Feedback
Scientific Reports
title Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical Feedback
title_full Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical Feedback
title_fullStr Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical Feedback
title_full_unstemmed Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical Feedback
title_short Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical Feedback
title_sort forecasting events in the complex dynamics of a semiconductor laser with optical feedback
url https://doi.org/10.1038/s41598-018-29110-5
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AT andresaragoneses forecastingeventsinthecomplexdynamicsofasemiconductorlaserwithopticalfeedback