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Article Dans Une Revue Optics Communications Année : 2023

Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network

Résumé

We deploy a supervised machine-learning model based on a neural network to predict the temporal and spectral reshaping of a simple sinusoidal modulation into a pulse train having a comb structure in the frequency domain, which occurs upon nonlinear propagation in an optical fibre. Both normal and anomalous second-order dispersion regimes of the fibre are studied, and the speed of the neural network is leveraged to probe the space of input parameters for the generation of custom combs or the occurrence of significant temporal or spectral focusing.
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Dates et versions

hal-04031220 , version 1 (15-03-2023)

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Sonia Boscolo, J.M. Dudley, Christophe Finot. Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network. Optics Communications, 2023, 542, pp.129563. ⟨10.1016/j.optcom.2023.129563⟩. ⟨hal-04031220⟩
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