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

27 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
  • Mathematical Physics
  • General Engineering
  • General Physics and Astronomy
  • Applied Mathematics

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