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Abstract
The Weibel instability is investigated theoretically and numerically under three scenarios: counterstreaming electron beams in background plasma, an electron-positron beam and an electron-proton beam in background plasma. These models occur widely in laboratory and astrophysical environments. The Weibel instability growth rates are determined numerically from the corresponding cold-fluid dispersion relations, which are confirmed with two-dimensional particle-in-cell simulations. The maximum growth rates for the counterstreaming beams in background plasma are an order of magnitude smaller than the maximum growth rates for the beams cases in the same range of density ratios and beam energies. The maximum growth rate for the electron-positron beam case is shown to be at most a factor greater than the electron-proton beam case with similar dispersion behaviours. A non-monotonic relation is found between the maximum Weibel instability growth rates and the electron-positron beam energy, suggesting that increasing beam energies does not entail an increase in the Weibel instability growth rate.
Original language | English |
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Number of pages | 17 |
Journal | Journal of Plasma Physics |
Volume | 88 |
Issue number | 2 |
DOIs | |
Publication status | Published - 31 Mar 2022 |
Keywords
- plasma instabilities
- plasma simulation
- plasma flows
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Dive into the research topics of 'Theoretical and computational studies of the Weibel instability in several beam-plasma interaction configurations'. Together they form a unique fingerprint.Projects
- 1 Finished
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Cockcroft Institute
McKenna, P., Cross, A., Eliasson, B., Gray, R., Hidding, B., Jaroszynski, D., McNeil, B., Ronald, K., Sheng, Z. & Zhang, L.
STFC Science and Technology Facilities Council, University of Liverpool, Lancaster University, University of Manchester
1/04/17 → 31/03/22
Project: Research
Datasets
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Data for: "Theoretical and Computational Studies of the Weibel Instability in Several Beam-Plasma Interaction Configurations"
Davidson, C. (Creator), Sheng, Z. (Contributor), McKenna, P. (Contributor) & Wilson, T. (Contributor), University of Strathclyde, 22 Mar 2022
DOI: 10.15129/12a928e7-f652-4081-a3e9-d095f41506f2
Dataset