Order to chaos transition studies in a DC glow discharge plasma by using recurrence quantification analysis

Vramori Mitra, Arun Sarma, M. S. Janaki, A. N. Sekar Iyenger, Bornali Sarma, Norbert Marwan, Jurgen Kurths, Pankaj Kumar Shaw, Debajyoti Saha, Sabuj Ghosh

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Recurrence quantification analysis (RQA) is used to study dynamical systems and to identify the underlying physics when a system exhibits a transition due to changes in some control parameter. The tendency of reoccurrence of different states after certain interval reflects and reveals the hidden patterns of a complex time series data. The present work involves the study of the floating potential fluctuations of a glow discharge plasma obtained by using a Langmuir probe. Determinism, entropy and Lmax are important measures of RQA that show an increasing and decreasing trend with variation in the values of discharge voltages and indicate an order-chaos transition in the dynamics of the fluctuations. Statistical analysis techniques represented by skewness and kurtosis are also supportive of a similar phenomenon occurring in the system.

Original languageEnglish
Pages (from-to)285-293
Number of pages9
JournalChaos, Solitons and Fractals
Volume69
DOIs
StatePublished - 1 Dec 2014
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematics (all)
  • Physics and Astronomy (all)
  • Applied Mathematics

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