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Cited by 1,640

The DOI matches its Crossref record; 190 of the 190 references it cites were found in a registry or an index.

Astrophysical magnetic fields and nonlinear dynamo theory

Open access
Brandenburg, Axel, Subramanian, Kandaswamy·2005·Physics Reports

Abstract

The current understanding of astrophysical magnetic fields is reviewed, focusing on their generation and maintenance by turbulence. In the astrophysical context this generation is usually explained by a self-excited dynamo, which involves flows that can amplify a weak 'seed' magnetic field exponentially fast. Particular emphasis is placed on the nonlinear saturation of the dynamo. Analytic and numerical results are discussed both for small scale dynamos, which are completely isotropic, and for large scale dynamos, where some form of parity breaking is crucial. Central to the discussion of large scale dynamos is the so-called alpha effect which explains the generation of a mean field if the turbulence lacks mirror symmetry, i.e. if the flow has kinetic helicity. Large scale dynamos produce small scale helical fields as a waste product that quench the large scale dynamo and hence the alpha effect. With this in mind, the microscopic theory of the alpha effect is revisited in full detail and recent results for the loss of helical magnetic fields are reviewed.

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Crossref · 10.1016/j.physrep.2005.06.005

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Metadata

Authors
Brandenburg, A., & Subramanian, K.
Venue
Physics Reports
Publisher
Elsevier BV
Published
2005-10
Volume
417
Issue
1-4
Pages
1-209
ISSN
0370-1573 (ISSN-L)
OpenAlex
W2068939329
Cited by
1,640
References
190
FWCI
33.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Astrophysical magnetic fields and nonlinear dynamo theory. https://app.cochat.ai/papers/10.1016/j.physrep.2005.06.005
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Brandenburg, A., & Subramanian, K. (2005). Astrophysical magnetic fields and nonlinear dynamo theory. Physics Reports. https://doi.org/10.1016/j.physrep.2005.06.005

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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.