首页> 外文会议>Dynamics and fluctuations in biomedical photonics XV >Poincare descriptors of long and short- range correlations in the spatial and temporal fluctuations of coherently scattered light
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Poincare descriptors of long and short- range correlations in the spatial and temporal fluctuations of coherently scattered light

机译:相干散射光的时空波动中长时和短时相关性的Poincare描述符

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Light scattered from dynamic random media has numerous applications in medicine, biology, engineering, physics and numerous other fields. Short term and long term variations and correlations in the scattered intensity ('"speckle") provide information about the crossing of scattering paths as a result of the local structure and dynamics within the medium. Poincare descriptors are statistical tools used to study variations or self-similarity in neighboring values of a quantity. Herein, we modify this definition to examine correlations not only between neighboring (temporally and spatially) values of dynamic speckle patterns, but also between values with larger spatial and temporal distances between them. The effects of incoherently summed, that is, time-averaged speckle patterns will be examined, as will be the separate cases of incoherently summed correlated and un-correlated speckle patterns. The unique case of elongated speckle will also be presented. The ratio of short-term to long-term differences in the pattern, a term referred to as the 'ellipticity' of the data, yields information on the dominance of long-term variations in the scattered intensity compared to the short-term variations. We will show that Poincare descriptors are useful in quantifying the width of the coherence areas in all 3 dimensions in the scattered intensity patterns and also for quantifying motions in speckle patterns from which information about the dynamics of the medium can be inferred.
机译:从动态随机介质散射的光在医学,生物学,工程学,物理学和许多其他领域中都有大量应用。短期和长期的变化以及散射强度(“斑点”)的相关性提供了有关介质内部局部结构和动力学的散射路径交叉的信息。 Poincare描述符是用于研究数量相邻值的变化或自相似性的统计工具。在此,我们修改此定义以不仅检查动态散斑图案的相邻(时间和空间)值之间的相关性,而且还检查它们之间具有较大时空距离的值之间的相关性。将检查非相干总和(即时间平均的斑点模式)的影响,以及非相干总和相关和不相关的散斑模式的单独情况。还将出现拉长斑点的独特情况。模式的短期差异与长期差异之比(称为数据的“椭圆率”)可得出与短期差异相比,散射强度的长期差异占优势的信息。我们将显示Poincare描述符可用于量化散射强度模式中所有3维维度上的相干区域的宽度,还可用于量化散斑模式中的运动,从中可以推断出有关介质动力学的信息。

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