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Investigation of complexity dynamics in a DC glow discharge magnetized plasma using recurrence quantification analysis

Authors

Mitra,  V.
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Sarma,  B.
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Sarma,  A.
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Janaki,  M. S.
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Sekar Iyengar,  A. N.
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/persons/resource/Marwan

Marwan,  Norbert
Potsdam Institute for Climate Impact Research;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Citation

Mitra, V., Sarma, B., Sarma, A., Janaki, M. S., Sekar Iyengar, A. N., Marwan, N., Kurths, J. (2016): Investigation of complexity dynamics in a DC glow discharge magnetized plasma using recurrence quantification analysis. - Physics of Plasmas, 23, 6, 062312.
https://doi.org/10.1063/1.4953903


Cite as: https://publications.pik-potsdam.de/pubman/item/item_21215
Abstract
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, Lmax, 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.