Trajectory Visualising and Convolution Control and Application for Vortex Detection

We present a new analysis technique for pathlines in 3D simulation data by visualizing the distribution of the scalars along pathlines in a separate 2D view. The presented visualization is applicable for vortex detection and for understanding the development of scalar properties of particles during their traversal through the simulation domain. Furthermore the presented 2D view can be coupled with classical Lagrangian vortex detection criteria, which enables easier control for the detector parameters. Also we can benefit from linking and brushing techniques of interactive visual analysis and control the rendering of these trajectories (i.e., streamand pathlines).