Data for "Numerical evidence for a small-scale dynamo approaching solar magnetic Prandtl numbers"

Data for "Numerical evidence for a small-scale dynamo approaching solar magnetic Prandtl numbers"

Description

This data set contains the simulation data for the Nature Astronomy publication "Numerical evidence for a small-scale dynamo approaching solar magnetic Prandtl numbers". Magnetic fields on small scales are ubiquitous in the universe. Though they can often be observed in detail, their generation mechanisms are not fully understood. One possibility is the so-called small-scale dynamo (SSD). Prevailing numerical evidence, however, appears to indicate that an SSD is unlikely to exist at very low magnetic Prandtl numbers (Pm) such as are present in the Sun and other cool stars. We have performed high-resolution simulations of isothermal forced turbulence employing the lowest Pm values so far achieved. Contrary to earlier findings, the SSD turns out to be not only possible for Pm down to 0.0031, but even becomes increasingly easier to excite for Pm below 0.05. We relate this behaviour to the known hydrodynamic phenomenon referred to as the bottleneck effect. Extrapolating our results to solar values of Pm indicates that an SSD would be possible under such conditions.
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Year of publication

2023

Authors

Department of Computer Science

Frederick A. Gent - Contributor

Maarit J. Korpi-Lagg - Contributor, Creator

Matthias Rheinhardt - Contributor

Max Planck Institut for Solar System Research

Jörn Warnecke Orcid -palvelun logo - Contributor, Creator, Publisher

Other information

Fields of science

Computer and information sciences; Astronomy and space science

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Astrophysics, computational fluid dynamics, High Performance Computing, Numerical simulations, Solar and Stellar Dynamos, Turbulence

Subject headings

astronomy, dynamos
Data for "Numerical evidence for a small-scale dynamo approaching solar magnetic Prandtl numbers" - Research.fi