Spatial-Spectral Complexity in Kerr Beam Self-Cleaning

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Hauptverfasser: Labaz, Moshe, Sidorenko, Pavel
Format: Preprint
Veröffentlicht: 2024
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author Labaz, Moshe
Sidorenko, Pavel
author_facet Labaz, Moshe
Sidorenko, Pavel
contents We report on a comprehensive experimental investigation into the spatial-spectral complexity of the laser beam during Kerr-induced beam self-cleaning in graded-index multimode fibers. We demonstrate the self-cleaning of beams using both transform-limited and chirped femtosecond pulses. By utilizing the spectrally resolved imaging technique, we examine variations in beam homogeneity during the beam cleanup process and reveal correlations observed among spatial beam profiles at different wavelengths for the various cleaned pulses. Our results significantly advance our understanding of Kerr-induced self-cleaning with chirped ultrafast pulses and offer new possibilities for diverse applications.
format Preprint
id arxiv_https___arxiv_org_abs_2403_13428
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spatial-Spectral Complexity in Kerr Beam Self-Cleaning
Labaz, Moshe
Sidorenko, Pavel
Optics
We report on a comprehensive experimental investigation into the spatial-spectral complexity of the laser beam during Kerr-induced beam self-cleaning in graded-index multimode fibers. We demonstrate the self-cleaning of beams using both transform-limited and chirped femtosecond pulses. By utilizing the spectrally resolved imaging technique, we examine variations in beam homogeneity during the beam cleanup process and reveal correlations observed among spatial beam profiles at different wavelengths for the various cleaned pulses. Our results significantly advance our understanding of Kerr-induced self-cleaning with chirped ultrafast pulses and offer new possibilities for diverse applications.
title Spatial-Spectral Complexity in Kerr Beam Self-Cleaning
topic Optics
url https://arxiv.org/abs/2403.13428