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 language | English |
|---|---|
| Pages (from-to) | 285-293 |
| Number of pages | 9 |
| Journal | Chaos, Solitons and Fractals |
| Volume | 69 |
| DOIs | |
| State | Published - 1 Dec 2014 |
| Externally published | Yes |
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Mathematical Physics
- General Engineering
- General Physics and Astronomy
- Applied Mathematics
Fingerprint
Dive into the research topics of 'Order to chaos transition studies in a DC glow discharge plasma by using recurrence quantification analysis'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver