Suppr超能文献

基于As(2)S(3)硫系光子晶体光纤的中红外超连续谱源预期带宽的计算

Calculation of the expected bandwidth for a mid-infrared supercontinuum source based on As(2)S(3) chalcogenide photonic crystal fibers.

作者信息

Weiblen R J, Docherty A, Hu J, Menyuk C R

机构信息

Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, 5200 Westland Boulevard Rm 220, Baltimore, Maryland 21250, USA.

出版信息

Opt Express. 2010 Dec 6;18(25):26666-74. doi: 10.1364/OE.18.026666.

Abstract

We computationally investigate supercontinuum generation in an As(2)S(3) solid core photonic crystal fiber (PCF) with a hexagonal cladding of air holes. We study the effect of varying the system (fiber and input pulse) parameters on the output bandwidth. We find that there is significant variation of the measured bandwidth with small changes in the system parameters due to the complex structure of the supercontinuum spectral output. This variation implies that one cannot accurately calculate the experimentally-expected bandwidth from a single numerical simulation. We propose the use of a smoothed and ensemble-averaged bandwidth that is expected to be a better predictor of the bandwidth of the supercontinuum spectra that would be produced in experimental systems. We show that the fluctuations are considerably reduced, allowing us to calculate the bandwidth more accurately. Using this smoothed and ensemble averaged bandwidth, we maximize the output bandwidth with a pump wavelength of 2.8 μm and obtain a supercontinuum spectrum that extends from 2.5 μm to 6.2 μm with an uncertainty of ± 0.5 μm. The optimized bandwidth is consistent with prior work, but with a significantly increased accuracy..

摘要

我们通过计算研究了具有六边形空气孔包层的As₂S₃实心光子晶体光纤(PCF)中的超连续谱产生。我们研究了改变系统(光纤和输入脉冲)参数对输出带宽的影响。我们发现,由于超连续谱输出的复杂结构,系统参数的微小变化会导致测量带宽有显著变化。这种变化意味着无法从单个数值模拟准确计算出实验预期的带宽。我们建议使用平滑且经系综平均的带宽,预计它能更好地预测实验系统中产生的超连续谱的带宽。我们表明,波动显著减小,使我们能够更准确地计算带宽。使用这种平滑且经系综平均的带宽,我们在泵浦波长为2.8μm时使输出带宽最大化,并获得了一个从2.5μm延伸至6.2μm、不确定度为±0.5μm的超连续谱。优化后的带宽与先前的工作一致,但精度显著提高。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验