Modelling self-similar parabolic pulses in optical fibres with a neural network
Optics
2020-12-03 v1
Abstract
We expand our previous analysis of nonlinear pulse shaping in optical fibres using machine learning [Opt. Laser Technol., 131 (2020) 106439] to the case of pulse propagation in the presence of gain/loss, with a special focus on the generation of self-similar parabolic pulses. We use a supervised feedforward neural network paradigm to solve the direct and inverse problems relating to the pulse shaping, bypassing the need for direct numerical solution of the governing propagation model.
Keywords
Cite
@article{arxiv.2012.01092,
title = {Modelling self-similar parabolic pulses in optical fibres with a neural network},
author = {Sonia Boscolo and John M. Dudley and Christophe Finot},
journal= {arXiv preprint arXiv:2012.01092},
year = {2020}
}
Comments
arXiv admin note: text overlap with arXiv:2002.08815