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利用递减压力梯度优化空心毛细管纤维中的脉冲自压缩

Optimization of pulse self-compression in hollow capillary fibers using decreasing pressure gradients.

作者信息

Galán Marina Fernández, Conejero Jarque Enrique, San Roman Julio

出版信息

Opt Express. 2022 Feb 28;30(5):6755-6767. doi: 10.1364/OE.451264.

Abstract

The improvement of techniques for the generation of near-infrared (NIR) few-cycle pulses is paving the way for new scenarios in time-resolved spectroscopy and the generation of ultrashort extreme-ultraviolet pulses through high-harmonic generation. In this work, we numerically study how to optimize the self-compression of NIR pulses using decreasing pressure gradients in hollow capillary fibers (HCFs). We identify a moderate nonlinear regime in which sub-cycle pulses are obtained with very good temporal quality from an input 30 fs pulse centered at a 800 nm wavelength and coupled as the fundamental mode of an argon-filled HCF fully evacuated at the output end. Surprisingly, we observe that there is a relatively broad region of parameters for which the optimum self-compression takes place, defined by a simple relation between the input pulse energy and the initial gas pressure.

摘要

近红外(NIR)少周期脉冲产生技术的改进为时间分辨光谱学的新场景以及通过高次谐波产生超短极紫外脉冲铺平了道路。在这项工作中,我们通过数值研究如何利用空心毛细管光纤(HCF)中逐渐减小的压力梯度来优化近红外脉冲的自压缩。我们确定了一个适度的非线性区域,在该区域中,从中心波长为800nm的30fs输入脉冲作为输出端完全抽空的充氩空心毛细管光纤的基模耦合输入,可以获得具有非常好的时间质量的亚周期脉冲。令人惊讶的是,我们观察到存在一个相对较宽的参数区域,在该区域中发生最佳自压缩,该区域由输入脉冲能量与初始气体压力之间的简单关系定义。

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