Nonlinear pulse sculpturing in passive and laser cavity fibre systems

Abstract

The interplay among the effects of dispersion, nonlinearity and gain/loss in optical fibers is a powerful tool to generate a broad range of pulse shapes with tunable properties. Here we propose a method to optimize 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 fiber and pulse generation in a dual-pump nonlinear-amplifying-loop-mirror mode-locked fiber laser.