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Pulse Retrieval Algorithm for Interferometric Frequency-Resolved Optical Gating Based on Differential Evolution

机译:干涉频率分辨光学系统的脉冲检索算法   基于差分进化的门控

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摘要

A novel algorithm for the ultrashort laser pulse characterization method ofinterferometric frequency-resolved optical gating (iFROG) is presented. Basedon a genetic method, namely differential evolution, the algorithm can exploitall available information of an iFROG measurement to retrieve the complexelectric field of a pulse. The retrieval is subjected to a series of numericaltests to prove robustness of the algorithm against experimental artifacts andnoise. These tests show that the integrated error-correction mechanisms of theiFROG method can be successfully used to remove the effect from timing errorsand spectrally varying efficiency in the detection. Moreover, the accuracy andnoise resilience of the new algorithm are shown to outperform retrieval basedon the generalized projections algorithm, which is widely used as the standardmethod in FROG retrieval. The differential evolution algorithm is furthervalidated with experimental data, measured with unamplified three-cycle pulsesfrom a mode-locked Ti:sapphire laser. Additionally introducing group delaydispersion in the beam path, the retrieval results show excellent agreementwith independent measurements with a commercial pulse measurement device basedon spectral phase interferometry for direct electric-field retrieval. Furtherexperimental tests with strongly attenuated pulses indicate resilience ofdifferential evolution based retrieval against massive measurement noise.
机译:提出了一种新型的干涉频率分辨光学选通(iFROG)超短激光脉冲表征方法。基于遗传方法(即差分进化),该算法可以利用iFROG测量的所有可用信息来检索脉冲的复电场。该检索经过一系列数值测试,以证明该算法针对实验伪像和噪声的鲁棒性。这些测试表明,iFROG方法的集成纠错机制可以成功地消除定时误差和频谱变化效率的影响。此外,在广义投影算法的基础上,新算法的准确性和噪声复原性能均优于检索,该算法被广泛用作FROG检索的标准方法。利用来自锁模钛蓝宝石激光器的未经放大的三周期脉冲测量的实验数据进一步验证了差分演化算法。除了在光束路径中引入群时延色散外,检索结果还显示了与基于频谱相位干涉法的商用脉冲测量设备进行直接电场检索的独立测量的出色一致性。用强衰减脉冲进行的进一步实验测试表明,基于差分演化的检索可抵抗大量测量噪声。

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