1 research outputs found
Vectorizing Quantum Turbulence Vortex-Core Lines for Real-Time Visualization
Vectorizing vortex-core lines is crucial for high-quality visualization and
analysis of turbulence. While several techniques exist in the literature, they
can only be applied to classical fluids. Recently, quantum fluids with
turbulence get more and more attention in physics. It is thus desirable that
vortex-core lines can also be well extracted and visualized for quantum fluids.
In this paper, we aim for this goal and developed an efficient vortex-core line
vectorization method for quantum fluids, which enables real-time visualization
of high-resolution quantum turbulence structure. Given the datasets by
simulation, our technique is developed from the vortices identified by the
circulation-based method. To vectorize the vortex-core lines enclosed by those
vortices, we propose a novel graph-based data structure, with iterative graph
reduction and density-guided local optimization, to locate more precisely
sub-grid-scale vortex-core line samples, which are then vectorized by
continuous curves. This not only represents vortex-core line structures
continuously, but also naturally preserves complex topology, such as branching
during reconnection. By vectorization, the memory consumption can be largely
reduced by orders of magnitude, enabling real-time rendering performance.
Different types of interactive visualizations are demonstrated to show the
effectiveness of our technique, which could assist further research on quantum
turbulence.Comment: 14 pages, 19 figure