• DocumentCode
    2019764
  • Title

    Identifying the structure of filamentation in laser-plasma

  • Author

    Song, Lei ; Chen, Hong ; Cao, Yi

  • Author_Institution
    High Performance Comput. Center, Inst. of Appl. Phys. & Comput. Math., Beijing, China
  • fYear
    2010
  • fDate
    23-25 Nov. 2010
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    Nowadays benefiting from the powerful computational capacity of the high performance computers, simulation of filamentation in laser plasma interaction(LPI) produces more than terabyte data, which makes traditional visualization ways inefficient and moreover, incapable of discovering more interior information. An analysis method based on signal processing and clustering technique proposed in the paper can identify high-level topological structure in filamentation, which facilitate scientist in-depth understanding to the phenomenon. Experimental results show the method works well.
  • Keywords
    filamentation instability; plasma light propagation; plasma simulation; analysis method; clustering technique; computational capacity; filamentation simulation; high performance computers; high-level topological structure; interior information; laser-plasma interaction; signal processing; terabyte data; traditional visualization; Complexity theory; Data models; Data visualization; Laser beams; Laser theory; Plasmas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio Language and Image Processing (ICALIP), 2010 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5856-1
  • Type

    conf

  • DOI
    10.1109/ICALIP.2010.5684970
  • Filename
    5684970