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Time Resolved Correlation measurements of temporally heterogeneous dynamics

机译:时间分辨时间异构的相关测量   动力学

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摘要

Time Resolved Correlation (TRC) is a recently introduced light scatteringtechnique that allows to detect and quantify dynamic heterogeneities. Thetechnique is based on the analysis of the temporal evolution of the specklepattern generated by the light scattered by a sample, which is quantified by$c\_I(t,\tau)$, the degree of correlation between speckle images recorded attime $t$ and $t+\tau$. Heterogeneous dynamics results in significantfluctuations of $c\_I(t,\tau)$ with time $t$. We describe how to optimize TRCmeasurements and how to detect and avoid possible artifacts. The statisticalproperties of the fluctuations of $c\_I$ are analyzed by studying theirvariance, probability distribution function, and time autocorrelation function.We show that these quantities are affected by a noise contribution due to thefinite number $N$ of detected speckles. We propose and demonstrate a method tocorrect for the noise contribution, based on a $N\to \infty$ extrapolationscheme. Examples from both homogeneous and heterogeneous dynamics are provided.Connections with recent numerical and analytical works on heterogeneous glassydynamics are briefly discussed.
机译:时间分辨相关性(TRC)是最近引入的光散射技术,可用于检测和量化动态异质性。该技术基于对由样本散射的光产生的散斑图案的时间演变的分析,该散斑由$ c \ _I(t,\ tau)$量化,即在时间tt $记录的散斑图像之间的相关程度和$ t + \ tau $。异构动力学导致$ c \ _I(t,\ tau)$随时间$ t $的显着波动。我们描述了如何优化TRC测量以及如何检测和避免可能的伪像。通过研究它们的方差,概率分布函数和时间自相关函数来分析$ c \ _I $波动的统计特性。我们表明,由于检测到的斑点数量为$ N $,这些量受噪声贡献的影响。我们提出并演示了一种基于$ N \ to \ infty $外推方案校正噪声贡献的方法。提供了均质和非均质动力学的实例。简要讨论了与近期关于非均质玻璃动力学的数值和分析工作的联系。

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