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  Mixed mode oscillations in presence of inverted fireball in an excitable DC glow discharge magnetized plasma

Mitra, V., Prakash, N. H., Solomon, I., Megalingam, M., Iyengar, A. N. S., Marwan, N., Kurths, J., Sarma, A., Sarma, B. (2017): Mixed mode oscillations in presence of inverted fireball in an excitable DC glow discharge magnetized plasma. - Physics of Plasmas, 24, 2, 22307.
https://doi.org/10.1063/1.4976320

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 Creators:
Mitra, V.1, Author
Prakash, N. H.1, Author
Solomon, I.1, Author
Megalingam, M.1, Author
Iyengar, A. N. S.1, Author
Marwan, Norbert2, Author              
Kurths, Jürgen2, Author              
Sarma, A.1, Author
Sarma, B.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The typical phenomena of mixed mode oscillations and their associated nonlinear behaviors have been investigated in collisionless magnetized plasma oscillations in a DC glow discharge plasma system. Plasma is produced between a cylindrical mesh grid and a constricted anode. A spherical mesh grid of 80% optical transparency is kept inside a cylindrical grid to produce an inverted fireball. Three Langmuir probes are kept in the ambient plasma to measure the floating potential fluctuations at different positions of the chamber. It has been observed that under certain conditions of discharge voltages and magnetic fields, the mixed mode oscillation phenomena (MMOs) appears, and it shows a sequential alteration with the variation of the magnetic fields and probe positions. Low frequency instability has been observed consistently in various experimental conditions. The mechanisms of the low frequency instabilities along with the origin of the MMOs have been qualitatively explained. Extensive linear and nonlinear analysis using techniques such as fast Fourier transform, recurrence quantification analysis, and the well-known statistical computing, skewness, and kurtosis are carried out to explore the complex dynamics of the MMO appearing in the plasma oscillations under various discharge conditions and external magnetic fields.

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 Dates: 2017
 Publication Status: Finally published
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1063/1.4976320
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7663
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: Physics of Plasmas
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 24 (2) Sequence Number: 22307 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1603092