Analysing interaction and localization dynamics in modulation instability via data-driven dominant balance
In: EPJ Web Conf. ; European Optical Society Annual Meeting, EOSAM 2023 ; https://hal.science/hal-04185204 ; European Optical Society Annual Meeting, 2023
Online
Konferenz
Zugriff:
We report the first application of the Machine Learning technique of data-driven dominant balance to optical fiber noise-driven Modulation Instability, with the aim to automatically identify local regions of dispersive and nonlinear interactions governing the dynamics. We first consider the analytical solutions of Nonlinear Schrödinger Equation – solitons on finite background – where it is shown that dominant balance distinguishes two particularly different dynamical regimes: one where the nonlinear process is dominating the dispersive propagation, and one where nonlinearity and second order dispersion act together driving the localization of breathers. By means of numerical simulations, we then analyse the spatio-temporal dynamics of noise-driven Modulation Instability and demonstrate that data-driven dominant balance can successfully identify the associated dominating physical regimes even within the turbulent dynamics.
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Analysing interaction and localization dynamics in modulation instability via data-driven dominant balance
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| Autor/in / Beteiligte Person: | Ermolaev, Andrei, V ; Mabed, Mehdi ; Finot, Christophe ; Genty, Goëry ; Dudley, J.M. ; Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST) ; Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) ; Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) ; Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB) ; Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-Université Bourgogne Franche-Comté COMUE (UBFC)-Centre National de la Recherche Scientifique (CNRS) ; Tampere University of Technology Tampere (TUT) ; ANR-20-CE30-0004,OPTIMAL,Optimisation des sources optiques ultra-rapides à large bande à l'aide de l'apprentissage automatique(2020) |
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| Zeitschrift: | EPJ Web Conf. ; European Optical Society Annual Meeting, EOSAM 2023 ; https://hal.science/hal-04185204 ; European Optical Society Annual Meeting, 2023 |
| Veröffentlichung: | HAL CCSD, 2023 |
| Medientyp: | Konferenz |
| DOI: | 10.1051/epjconf/202328713001 |
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