Analysis of Dispersive Fourier Transform dataset using Dynamic Mode Decomposition: evidence of multiple vibrational modes, and their interplay in a three-soliton molecule
Optics
2023-06-07 v1
Abstract
We demonstrate that the Dynamic Mode Decomposition technique can effectively reduce the amount of noise in Dispersive Fourier Transform dataset; and allow for finer quantitative analysis of the experimental data. We therefore were able to demonstrate that the oscillation pattern of a soliton molecule actually results from the interplay of several elementary vibration modes.
Keywords
Cite
@article{arxiv.2305.01591,
title = {Analysis of Dispersive Fourier Transform dataset using Dynamic Mode Decomposition: evidence of multiple vibrational modes, and their interplay in a three-soliton molecule},
author = {Anastasiia Sheveleva and Saïd Hamdi and Aurélien Coillet and Christophe Finot and Pierre Colman},
journal= {arXiv preprint arXiv:2305.01591},
year = {2023}
}