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DOE SciDAC Visualization and Analytics Center for Enabling Technologies (VACET)

DOE SciDAC Visualization and Analytics Center for Enabling Technologies (VACET)
Scientific Computing and Imaging Institute Institute for Data Analysis and Visualization Lawrence Livermore National Laboratory Oak Ridge National Laboratory Lawrence Berkeley National Laboratory
Home > Application Areas > Fusion


Understanding the complex behavior of magnetically confined fusion plasmas is an important goal of DOE's many fusion projects. The fusion community uses many different simulations to model the effects of physical and electromagnetic phenomena that contribute to plasma stability and effective plasma containment. These phenomena include radio frequency heating, stellerator and tokamak geometries, magnetic field evolution, and eddy stability. The fusion community has made an investment in visualization capabilities resulting in capabilities for producing compelling imagery. Despite that investment and prior work, our stakeholders have clearly stated they need visualization tools that provide the ability to test hypotheses in a visual environment, and that can process the large data being produced now and in the future on DOE's large open computing facilities. As one notable fusion scientist at ORNL put it, "If we knew what we were looking for, we'd just go make a picture of it."

Through our discussions with the Fusion community the overarching need is for tools that fuse analytical techniques with visualization. VACET will address the needs through tools with:

  1. analysis of very large numbers of particles from PIC (Particle in Cell) simulations;
  2. spatial and temporal feature detection and tracking capabilities for long duration experimental and simulation data;
  3. query driven visualization and analysis of experimental data;
  4. comparative visualization tools with ability to merge experimental and simulation data;
  5. flow visualization and topological analysis;
  6. multi-field visualization and analysis;
  7. effective remote and collaborative visualization and analysis capabilities.

See Gallery: Fusion

Topological analysis of magnetic islands from a NIMROD simulation of tearing modes started from an equilibrium fit of laboratory data from the DIID-D Tokamak that produced a reversed-shear discharge. This visualization was done using the SCIRun/Fusion PSE.