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A method for computing the three-dimensional radial distribution function of cloud particles from holographic images

机译:一种从全息图像计算云粒子三维径向分布函数的方法

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Reliable measurements of the three-dimensional radial distribution function for cloud droplets are desired to help characterize microphysical processes that depend on local drop environment. Existing numerical techniques to estimate this three-dimensional radial distribution function are not well suited to in situ or laboratory data gathered from a finite experimental domain. This paper introduces and tests a new method designed to reliably estimate the three-dimensional radial distribution function in contexts in which (i) physical considerations prohibit the use of periodic boundary conditions and (ii) particle positions are measured inside a convex volume that may have a large aspect ratio. The method is then utilized to measure the three-dimensional radial distribution function from laboratory data taken in a cloud chamber from the Holographic Detector for Clouds (HOLODEC).
机译:需要对云滴的三维径向分布函数进行可靠的测量,以帮助表征依赖于局部滴环境的微物理过程。现有的估计此三维径向分布函数的数值技术不太适合从有限的实验域中收集的原位或实验室数据。本文介绍并测试了一种新方法,该方法旨在在以下情况下可靠地估算三维径向分布函数:(i)物理考虑因素禁止使用周期性边界条件,并且(ii)在凸体积内测量粒子位置,该凸体积可能具有长宽比大。然后,该方法用于根据从全息全息检测器(HOLODEC)在云室中获取的实验室数据测量三维径向分布函数。

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