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

被引：24

作者：

Mitra, Vramori ^{[1
]}

Sarma, Arun ^{[1
]}

Janaki, M. S. ^{[2
]}

Iyengar, A. N. Sekar ^{[2
]}

Sarma, Bornali ^{[1
]}

Marvvan, Norbert ^{[3
]}

Kurths, Jurgen ^{[3
]}

Shaw, Pankaj Kumar ^{[2
]}

Saha, Debajyoti ^{[2
]}

Ghosh, Sabuj ^{[2
]}

机构：

[1] VIT Univ, Madras 600127, Tamil Nadu, India

[2] Saha Inst Nucl Phys, Kolkata 700064, W Bengal, India

[3] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany

来源：

CHAOS SOLITONS & FRACTALS | 2014年 / 69卷

关键词：

IONIZATION WAVES; PLOTS;

D O I：

10.1016/j.chaos.2014.10.005

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：285 / 293

页数：9

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