Analysis of Dispersive Fourier Transform dataset using Dynamic Mode Decomposition: evidence of multiple vibrational modes, and their interplay in a three-soliton molecule - Université de Technologie de Belfort-Montbeliard Accéder directement au contenu
Article Dans Une Revue Optics Letters Année : 2023

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

Résumé

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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hal-04088149 , version 1 (15-05-2023)

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Anastasiia Sheveleva, Saïd Hamdi, Aurélien Coillet, Christophe Finot, Pierre Colman. Analysis of Dispersive Fourier Transform dataset using Dynamic Mode Decomposition: evidence of multiple vibrational modes, and their interplay in a three-soliton molecule. Optics Letters, 2023, 48 (11), pp.3015. ⟨hal-04088149⟩
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