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arXiv 2012.04528cond-mat.softphysics.bio-ph
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流动中主动游泳者的单轨迹特性

Single-Trajectory Characterization of Active Swimmers in a Flow

Gaspard Junot, Eric Clément, Harold Auradou, Reinaldo García-García

摘要:

我们发展了一种极大似然方法来推断细长活性粒子的相关物理性质。使用个人轨迹平流游泳作为输入,我们能够准确地确定其旋转扩散系数和有效的措施,他们的纵横比,也提供了可靠的估计这些数量的不确定性。我们验证了我们的理论建设,使用数值生成的活动轨迹后,无流量,简单的剪切,Poiffille流,具有良好的效果。被设计为依赖于单粒子数据,我们的方法简化了应用程序在实验条件下,游泳运动员表现出很强的形态多样性。我们简要地讨论了一些这样的正在进行的实验应用,特别是,在游泳的大肠杆菌在流的特性。

英文摘要:

We develop a maximum likelihood method to infer relevant physical properties of elongated active particles. Using individual trajectories of advected swimmers as input, we are able to accurately determine their rotational diffusion coefficients and an effective measure of their aspect ratio, also providing reliable estimators for the uncertainties of such quantities. We validate our theoretical construction using numerically generated active trajectories upon no-flow, simple shear, and Poiseuille flow, with excellent results. Being designed to rely on single-particle data, our method eases applications in experimental conditions where swimmers exhibit a strong morphological diversity. We briefly discuss some of such ongoing experimental applications, specifically, in the characterization of swimming E.coli in a flow.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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