• DocumentCode
    1365014
  • Title

    Analysis of Recurrent Patterns in Toroidal Magnetic Fields

  • Author

    Sanderson, Allen R. ; Chen, Guoning ; Tricoche, Xavier ; Pugmire, David ; Kruger, Scott ; Breslau, Joshua

  • Volume
    16
  • Issue
    6
  • fYear
    2010
  • Firstpage
    1431
  • Lastpage
    1440
  • Abstract
    In the development of magnetic confinement fusion which will potentially be a future source for low cost power, physicists must be able to analyze the magnetic field that confines the burning plasma. While the magnetic field can be described as a vector field, traditional techniques for analyzing the field´s topology cannot be used because of its Hamiltonian nature. In this paper we describe a technique developed as a collaboration between physicists and computer scientists that determines the topology of a toroidal magnetic field using fieldlines with near minimal lengths. More specifically, we analyze the Poincaré map of the sampled fieldlines in a Poincaré section including identifying critical points and other topological features of interest to physicists. The technique has been deployed into an interactiveparallel visualization tool which physicists are using to gain new insight into simulations of magnetically confined burning plasmas.
  • Keywords
    Poincare mapping; critical points; physics computing; plasma simulation; plasma toroidal confinement; Poincare map; Poincare section; critical points; interactive parallel visualization tool; magnetic confinement fusion; magnetically confined burning plasma simulation; near minimal lengths; recurrent patterns; toroidal magnetic field; toroidal magnetic field topology; Feature extraction; Magnetic separation; Orbits; Plasmas; Toroidal magnetic fields; Visualization; Windings; Confined magnetic fusion; Poincaré magnetic field visualization; map; periodic magnetic fieldlines; recurrent patterns;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2010.133
  • Filename
    5613484