Investigation of complexity dynamics in a DC glow discharge magnetized plasma using recurrence quantification analysis
- VIT University, Vandalur-Kelambakkam Road, Chennai 600 127, Tamil Nadu (India)
- Plasma Physics Division, Saha Institute of Nuclear Physics, 1/AF, Bidhannagar, Kolkata 700064 (India)
- Potsdam Institute for Climate Impact Research, PO Box 601203, 14412 Potsdam (Germany)
Recurrence is an ubiquitous feature which provides deep insights into the dynamics of real dynamical systems. A suitable tool for investigating recurrences is recurrence quantification analysis (RQA). It allows, e.g., the detection of regime transitions with respect to varying control parameters. We investigate the complexity of different coexisting nonlinear dynamical regimes of the plasma floating potential fluctuations at different magnetic fields and discharge voltages by using recurrence quantification variables, in particular, DET, L{sub max}, and Entropy. The recurrence analysis reveals that the predictability of the system strongly depends on discharge voltage. Furthermore, the persistent behaviour of the plasma time series is characterized by the Detrended fluctuation analysis technique to explore the complexity in terms of long range correlation. The enhancement of the discharge voltage at constant magnetic field increases the nonlinear correlations; hence, the complexity of the system decreases, which corroborates the RQA analysis.
- OSTI ID:
- 22598989
- Journal Information:
- Physics of Plasmas, Vol. 23, Issue 6; Other Information: (c) 2016 Author(s); Country of input: International Atomic Energy Agency (IAEA); ISSN 1070-664X
- Country of Publication:
- United States
- Language:
- English
Similar Records
Recurrence quantification analysis of simulations of near-marginal dissipative-trapped-electron-mode turbulence
Process Failure Detection via Recurrence Quantification Analysis in a Slot-Rectangular Spouted Bed