Investigation and quantification of nonlinearity using surrogate data in a glow discharge plasma

Debajyoti Saha, Pankaj Kumar Shaw, Sabuj Ghosh, M. S. Janaki, A. N. Sekar Iyengar

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Detection of nonlinearity has been carried out in periodic and aperiodic floating potential fluctuations of DC glow discharge plasma by generating surrogate data using iterative amplitude adjusted Fourier transform method. We introduce "delay vector variance" analysis (DVV) for the first time, which allows reliable detection of nonlinearity and provides some easy to interpret diagram conveying information about the nature of the experimental floating potential fluctuations (FPF). The method of false nearest neighbourhood is deployed on the FPF's to find a good embedding so as to be acquainted with the precise knowledge of m, which is desirable for carrying out DVV analysis. The emergence of nonlinearity with increase in discharge voltage has been ensured by taking into consideration the total energy present in different band of frequencies excited due to nonlinear processes. Rejection of null hypothesis has been verified by performing the rank test method that confirms the presence of nonlinearity quantitatively.

Original languageEnglish
Article number022307
JournalPhysics of Plasmas
Issue number2
StatePublished - 1 Feb 2015
Externally publishedYes

ASJC Scopus subject areas

  • Condensed Matter Physics


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