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Adaptive self-reconstruction and autocorrelation of nondiffracting wavepackets

机译:非脱位波丝的自适应自我重建与自相关

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The characterization of laser pulses with pulse durations in few-cycle range is highly challenging because the transfer of spatial and temporal information is sensitive against even slight amplitude and phase distortions. It can be improved by exploiting the propagation features of distortion-tolerant nondiffracting beams. The availability of novel types of MEMS components enables to realize smart and robust autocorrelators which combine low-dispersion and adaptive functionality of MEMS mirrors with the self-reconstructing properties of non-diffracting beams shaped by axicons. Two basic concepts of adaptive non-collinear, nonlinear autocorrelation are presented here: (a) autocorrelation with adaptive self-reconstruction, and (b) discrete phase shifting methods. By tuning the superposition angle in non-collinear autocorrelation it is possible to bypass the corruption of temporal information by distortions. This is demonstrated by performing autocorrelation experiments with a MEMS-type Fresnel mirror with hysteresis compensation. It is show that a spatially located distortion can be sampled in temporal domain. Phase-shifting approaches promise improvements with respect to the time resolution.
机译:在几个周期范围内具有脉冲持续时间的激光脉冲的表征具有高度挑战,因为空间和时间信息的传输对甚至略微幅度和相位失真敏感。通过利用失真的非抗体光束的传播特征,可以改善它。新颖的MEMS组件的可用性使得能够实现智能和鲁棒的自相关器,其将MEMS镜的低色散和自适应功能与由轴突形状的非衍射光束的自重构特性组合。这里提出了两个自适应非共线,非线性自相关的基本概念:(a)具有自适应自我重建的自相关,(b)离散相移方法。通过在非共线性自相关调整叠加角度,可以通过扭曲绕过时间信息的损坏。通过使用具有滞后补偿的MEMS型菲涅耳镜进行自相关实验来证明这一点。结果表明,可以在时间域中采样空间位置的失真。相移方法对时间分辨率的承诺改进。

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