arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2403.13428physics.optics
收藏

Kerr光束自清洁中的空间-光谱复杂性

Spatial-Spectral Complexity in Kerr Beam Self-Cleaning

Moshe Labaz, Pavel Sidorenko

AI总结:

本研究通过实验探究了渐变折射率多模光纤中Kerr诱导光束自清洁的空间-光谱复杂性,利用变换极限和啁啾飞秒脉冲及光谱分辨成像技术,揭示了光束均匀性变化与不同波长空间轮廓的相关性,推进了对啁啾脉冲自清洁的理解。

摘要:

我们报告了对渐变折射率多模光纤中Kerr诱导光束自清洁期间激光束空间-光谱复杂性的全面实验研究。我们展示了使用变换极限和啁啾飞秒脉冲的光束自清洁。通过利用光谱分辨成像技术,我们检查了光束清洁过程中光束均匀性的变化,并揭示了各种清洁脉冲在不同波长下空间光束轮廓之间观察到的相关性。我们的结果显著推进了我们对使用啁啾超快脉冲进行Kerr诱导自清洁的理解,并为各种应用提供了新的可能性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑