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Continuous wavelet transform analysis for self-similarity properties of turbulence in magnetized DC glow discharge plasma

Published online by Cambridge University Press:  14 June 2013

BORNALI SARMA ,
SOURABH S. CHAUHAN ,
A. M. WHARTON  and
A. N. SEKAR IYENGAR
BORNALI SARMA
Affiliation:
Department of Physics, VIT University, Vandalur-Kelambakkam Road, Chennai, 600 048, Tamilnadu, India (bornali.sarma@vit.ac.in)
SOURABH S. CHAUHAN
Affiliation:
Department of Physics, National Institute of Science Education and Research, IOP Campus, Bhubaneswar 751005, Orissa, India
A. M. WHARTON
Affiliation:
Plasma Physics Division, Saha Institute of Nuclear Physics, 1/AF, Bidhannagar, Kolkata 700 064, West Bengal, India
A. N. SEKAR IYENGAR
Affiliation:
Plasma Physics Division, Saha Institute of Nuclear Physics, 1/AF, Bidhannagar, Kolkata 700 064, West Bengal, India
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Abstract

Characterization of self-similarity properties of turbulence in magnetized plasma is being carried out in DC glow discharge plasma. The time series floating potential fluctuation experimental data are acquired from the plasma by Langmuir probe. Continuous wavelet transform (CWT) analysis considering db4 mother wavelet has been applied to the experimental data and self-similarity properties are detected by evaluating the Hurst exponent from the wavelet variance plotting. From the CWT spectrum, effort is made to extract a highly correlated frequency by locating the brightest spot. Accordingly, those signals are treated for finding out correlation dimension and the Liapunov exponent so that the exact frequency responsible for the chaotic behavior could be found out.

Type
Papers
Information
Journal of Plasma Physics , Volume 79 , Issue 5 , October 2013 , pp. 885 - 891
Copyright
Copyright © Cambridge University Press 2013 

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