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arXiv 1408.0841physics.optics
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使用 Grid 平台中的遗传算法优化基于双孤子光源的超连续谱

Supercontinuum optimization for dual-soliton based light sources using genetic algorithms in a Grid platform

F. R. Arteaga-Sierra, C. Milián, I. Torres-Gómez, M. Torres-Cisneros, G. Moltó, A. Ferrando

AI总结:

本文提出在 Grid 平台上利用遗传算法优化光纤双孤子光源的输入脉冲参数,以产生具有两个预设光谱峰的超连续谱,服务于第二近红外窗口的光学相干断层扫描应用。

摘要:

我们提出一种数值策略,用于设计在反常群速度色散区呈现两个预定义光谱峰的光纤双脉冲光源。频率转换基于超连续谱产生过程中发生的孤子裂变和孤子自频移。优化过程由遗传算法执行,该算法提供最佳输入脉冲参数:波长、时间宽度和峰值功率。为利用分布式计算的优势,该算法在 Grid 平台上实现。这些结果可用于需要位于第二近红外窗口的钟形脉冲的光学相干断层扫描应用。

英文摘要:

We present a numerical strategy to design fiber based dual pulse light sources exhibiting two predefined spectral peaks in the anomalous group velocity dispersion regime. The frequency conversion is based on the soliton fission and soliton self-frequency shift occurring during supercontinuum generation. The optimization process is carried out by a genetic algorithm that provides the optimum input pulse parameters: wavelength, temporal width and peak power. This algorithm is implemented in a Grid platform in order to take advantage of distributed computing. These results are useful for optical coherence tomography applications where bell-shaped pulses located in the second near-infrared window are needed.

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。

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