Analysing interaction and localization dynamics in modulation instability via data-driven dominant balance
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 analytic...
Main Authors: | Ermolaev Andrei V., Mabed Mehdi, Finot Christophe, Genty Goëry, Dudley John M. |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2023-01-01
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Series: | EPJ Web of Conferences |
Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_13001.pdf |
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