Supercontinuum optimization for dual-soliton based light sources using genetic algorithms in a Grid platform

TL;DR

This paper introduces a numerical method utilizing genetic algorithms on a Grid platform to optimize dual-soliton supercontinuum sources with specific spectral features for enhanced optical coherence tomography.

Contribution

It presents a novel optimization approach combining genetic algorithms and distributed computing to design fiber-based dual pulse light sources with predefined spectral peaks.

Findings

Optimized input pulse parameters for desired spectral peaks.

Effective use of Grid computing for complex optical simulations.

Potential improvements in OCT imaging applications.

Abstract

We present a numerical strategy to design fiber based dual pulse light sources exhibiting two predefined spectral peaks in the anomalous group velocity dispersion regime. The frequency conversion is based on the soliton fission and soliton self-frequency shift occurring during supercontinuum generation. The optimization process is carried out by a genetic algorithm that provides the optimum input pulse parameters: wavelength, temporal width and peak power. This algorithm is implemented in a Grid platform in order to take advantage of distributed computing. These results are useful for optical coherence tomography applications where bell-shaped pulses located in the second near-infrared window are needed.