PROJECT TITLE :

Visualization Techniques for Studying Large-Scale Flow Fields from Fusion Simulations

ABSTRACT:

This text presents a joint study between pc scientists and fusion scientists in developing visual tools for learning patterns in flow fields from large-scale magnetic confinement fusion simulations. The authors visualize time-varying flow information by generating trajectory curves via massless particle advection and design a set of color functions, pathline filters, and projection methods specific to realize fusion research objectives. These tools aid scientists in managing the visual complexity of enormous trajectory datasets and are crucial in locating and understanding delicate options of interest. The authors demonstrate the effectiveness of their techniques by using real fusion simulation knowledge and give insight by domain scientists. They conjointly discuss how their strategies address common scalability concerns.


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