The interplay among the effects of dispersion, nonlinearity and gain/loss in optical fibres is a powerful tool to generate a broad range of pulse shapes with tuneable properties. Here we propose a method to optimise the systems parameters for a given pulse target. By reducing the system complexity and applying machine-learning strategies, we show that it is possible to efficiently identify the sets of parameters of interest. Two configurations are numerically investigated: pulse shaping in a passive normally dispersive fibre and pulse generation in a dual-pump nonlinear-amplifying-loop-mirror mode-locked fibre laser.
|Name||International Conference on Transparent Optical Networks|
|Conference||21st International Conference on Transparent Optical Networks, ICTON 2019|
|Period||9/07/19 → 13/07/19|
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- Fibre lasers
- Nonlinear fibre optics
- Optical processing
- Pulse shaping