论文标题
改进了高度相关运动的颗粒的跟踪
Improved tracking of particles with highly correlated motion
论文作者
论文摘要
尽管在过去的二十年中，粒子成像技术取得了重大进步，但在粒子跟踪中几乎没有进步，即在时间序列数据中连接各个粒子位置。最新的跟踪算法对于粒子行为主要独立的系统非常有效。但是，当粒子运动高度相关时，例如在密集或强烈相互作用的系统中，这些算法变得不准确。准确的颗粒跟踪对于研究致密胶体物理学的研究至关重要，例如脱位形成，成核和剪切转化的研究。在这里，我们提出了一种用于粒子跟踪的新方法，该方法结合了有关颗粒相关运动的信息。在高度相关系统的模拟数据中，我们证明了对最新跟踪算法的显着改善。
Despite significant advances in particle imaging technologies over the past two decades, few advances have been made in particle tracking, i.e. linking individual particle positions across time series data. The state-of-the-art tracking algorithm is highly effective for systems in which the particles behave mostly independently. However, these algorithms become inaccurate when particle motion is highly correlated, such as in dense or strongly interacting systems. Accurate particle tracking is essential in the study of the physics of dense colloids, such as the study of dislocation formation, nucleation, and shear transformations. Here, we present a new method for particle tracking that incorporates information about the correlated motion of the particles. We demonstrate significant improvement over the state-of-the-art tracking algorithm in simulated data on highly correlated systems.
