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Fundamentals of Plasma Physics
Abstract
This rigorous explanation of plasmas is relevant to diverse plasma applications such as controlled fusion, astrophysical plasmas, solar physics, magnetospheric plasmas, and plasma thrusters. More thorough than previous texts, it exploits new powerful mathematical techniques to develop deeper insights into plasma behavior. After developing the basic plasma equations from first principles, the book explores single particle motion with particular attention to adiabatic invariance. The author then examines types of plasma waves and the issue of Landau damping. Magnetohydrodynamic equilibrium and stability are tackled with emphasis on the topological concepts of magnetic helicity and self-organization. Advanced topics follow, including magnetic reconnection, nonlinear waves, and the Fokker–Planck treatment of collisions. The book concludes by discussing unconventional plasmas such as non-neutral and dusty plasmas. Written for beginning graduate students and advanced undergraduates, this text emphasizes the fundamental principles that apply across many different contexts.
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Cited by
Picozzi, A., Garnier, J., Hansson, T., Suret, P., Randoux, S., Millot, G., & Christodoulides, D. N. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.03.002 · Cited by 275
Hybrid 3D model for the interaction of plasma thruster plumes with nearby objects
Cichocki, F., Domínguez-Vázquez, A., Merino, M., & Ahedo, E. (2017) · Plasma Sources Science and Technology · doi:10.1088/1361-6595/aa986e · Cited by 67
Metadata
- Authors
- Bellan, P. M.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2006-04-06
- OpenAlex
- W1528941559
- Cited by
- 703
- References
- 0
- FWCI
- 23.38
- Type
- book
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.