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
Link To Document :
بازگشت