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Cited by 377

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Non-linear amplification of a magnetic field driven by cosmic ray streaming

Open access
Lucek, S. G., Bell, A. R.·2000·Monthly Notices of the Royal Astronomical Society

Abstract

One-, two- and three-dimensional numerical results of the non-linear interaction between cosmic rays and a magnetic field are presented. These show that cosmic ray streaming drives large-amplitude Alfvénic waves. The cosmic ray streaming energy is very efficiently transferred to the perturbed magnetic field of the Alfvén waves, and the non-linear time-scale of the growth of the waves is found to be very rapid, of the order of the gyro-period of the cosmic ray. Thus, a magnetic field of interstellar values, assumed in models of supernova remnant blast wave acceleration, would not be appropriate in the region of the shock. The increased magnetic field reduces the cosmic ray acceleration time and so increases the maximum cosmic ray energy, which may provide a simple and elegant resolution to the highest energy Galactic cosmic ray problem, where the cosmic rays themselves provide the fields necessary for their acceleration.

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Crossref · 10.1046/j.1365-8711.2000.03363.x

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Metadata

Authors
Lucek, S. G., & Bell, A. R.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2000-05-01
Volume
314
Issue
1
Pages
65-74
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W1969092613
Cited by
377
References
11
FWCI
6.60
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Non-linear amplification of a magnetic field driven by cosmic ray streaming. https://app.cochat.ai/papers/10.1046/j.1365-8711.2000.03363.x
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Lucek, S. G., & Bell, A. R. (2000). Non-linear amplification of a magnetic field driven by cosmic ray streaming. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1046/j.1365-8711.2000.03363.x

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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.