The DOI matches its Crossref record.
The Inverse Cascade and Nonlinear Alpha‐Effect in Simulations of Isotropic Helical Hydromagnetic Turbulence
Open accessAbstract
A numerical model of isotropic homogeneous turbulence with helical forcing is investigated. The resulting flow, which is essentially the prototype of the α 2 dynamo of mean field dynamo theory, produces strong dynamo action with an additional large-scale field on the scale of the box (at wavenumber k = 1; forcing is at k = 5). This large-scale field is nearly force free and exceeds the equipartition value. As the magnetic Reynolds number R m increases, the saturation field strength and the growth rate of the dynamo increase. However, the time it takes to build up the large-scale field from equipartition to its final superequipartition value increases with magnetic Reynolds number. The large-scale field generation can be identified as being due to nonlocal interactions originating from the forcing scale, which is characteristic of the α-effect. Both α and turbulent magnetic diffusivity η t are determined simultaneously using numerical experiments where the mean field is modified artificially. Both quantities are quenched in an R m -dependent fashion. The evolution of the energy of the mean field matches that predicted by an α 2 dynamo model with similar α and η t quenchings. For this model an analytic solution is given that matches the results of the simulations. The simulations are numerically robust in that the shape of the spectrum at large scales is unchanged when changing the resolution from 30 3 to 120 3 mesh points, or when increasing the magnetic Prandtl number (viscosity/magnetic diffusivity) from 1 to 100. Increasing the forcing wavenumber to 30 (i.e., increasing the scale separation) makes the inverse cascade effect more pronounced, although it remains otherwise qualitatively unchanged.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Astrophysical magnetic fields and nonlinear dynamo theory
Brandenburg, A., & Subramanian, K. (2005) · Physics Reports · doi:10.1016/j.physrep.2005.06.005 · Cited by 1,640
Self-citationMilestones in the Observations of Cosmic Magnetic Fields
Han, J.-L., & Wielebinski, R. (2002) · Chinese Journal of Astronomy and Astrophysics · doi:10.1088/1009-9271/2/4/293 · Cited by 84
“A large-scale kinetic helicity is probably a necessary ingredient for a large-scale magnetic field (Blackman & Chou 1997) and helical turbulence may provide the key to the generation of large-scale magnetic fields (Blackman 2000; Brandenburg 2001).”
Background
Metadata
- Authors
- Brandenburg, A.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2001-04
- Volume
- 550
- Issue
- 2
- Pages
- 824-840
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2059790511
- Cited by
- 604
- References
- 0
- FWCI
- 21.18
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Inverse Cascade and Nonlinear Alpha‐Effect in Simulations of Isotropic Helical Hydromagnetic Turbulence. https://app.cochat.ai/papers/10.1086/319783
- The paper
- Brandenburg, A. (2001). The Inverse Cascade and Nonlinear Alpha‐Effect in Simulations of Isotropic Helical Hydromagnetic Turbulence. The Astrophysical Journal. https://doi.org/10.1086/319783
Data sources
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.