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arXiv · 2305.01591

Analysis of Dispersive Fourier Transform dataset using Dynamic Mode Decomposition: evidence of multiple vibrational modes, and their interplay in a three-soliton molecule

Anastasiia Sheveleva·Saïd Hamdi·Aurélien Coillet·Christophe Finot·Pierre Colman
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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.

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Anastasiia Sheveleva, Saïd Hamdi, Aurélien Coillet, Christophe Finot, Pierre Colman. 2023-05-02. Analysis of Dispersive Fourier Transform dataset using Dynamic Mode Decomposition: evidence of multiple vibrational modes, and their interplay in a three-soliton molecule. https://doi.org/10.1364/ol.488968

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