Balltracking: An highly efficient method for tracking flow fields
Balltracking: An highly efficient method for tracking flow fields
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DOI：
10.1051/0004-6361:20035891
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发表时间：
2004-09
影响因子：
6.5
通讯作者：
H. Potts;R. Barrett;D. Diver
中科院分区：
文献类型：
--
作者：
H. Potts;R. Barrett;D. Diver
我们提出了一种方法，用于跟踪太阳光球流，是非常有效的，并证明它使用高分辨率MDI连续图像。该方法包括从光球颗粒数据制作一个表面，并允许许多小的浮动示踪剂或球通过不断发展的颗粒图案四处移动。测试结果与已知的流场合成造粒和本地相关跟踪（LCT）产生的结果相比。这种新方法的结果与LCT方法的结果具有相似的精度。我们还调查了最大的空间和时间分辨率的速度场，它是可能的提取，基于粒度数据的统计特性。我们的结论是，这两种方法产生的结果接近最大分辨率可能从造粒数据。该代码的运行速度明显快于我们类似的优化LCT代码，使大型数据集上的真实的应用成为可能。跟踪方法不仅限于光球流，也将适用于任何速度场，其中存在已知尺度长度的可见移动特征。
We present a method for tracking solar photospheric flows that is highly efficient, and demonstrate it using high resolution MDI continuum images. The method involves making a surface from the photospheric granulation data, and allowing many small floating tracers or balls to be moved around by the evolving granulation pattern. The results are tested against synthesised granulation with known flow fields and compared to the results produced by Local Correlation tracking (LCT). The results from this new method have similar accuracy to those produced by LCT. We also investigate the maximum spatial and temporal resolution of the velocity field that it is possible to extract, based on the statistical properties of the granulation data. We conclude that both methods produce results that are close to the maximum resolution possible from granulation data. The code runs very significantly faster than our similarly optimised LCT code, making real time applications on large data sets possible. The tracking method is not limited to photospheric flows, and will also work on any velocity field where there are visible moving features of known scale length.