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Record W4407021859 · doi:10.1093/mnras/staf188

Fundamental MHD scales – II. The kinematic phase of the supersonic small-scale dynamo

2025· article· en· W4407021859 on OpenAlexaff
Neco Kriel, James R. Beattie, Christoph Federrath, Mark R. Krumholz, Justin Kin Jun Hew

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersAustralian Research CouncilAustralian National UniversityAustralian Government
KeywordsPhysicsDynamoSupersonic speedMagnetohydrodynamicsKinematicsScale (ratio)AstrophysicsClassical mechanicsMechanicsAerospace engineeringAstronomyMagnetic field

Abstract

fetched live from OpenAlex

ABSTRACT Many astrophysical small-scale dynamos (SSDs) amplify weak magnetic fields via highly compressible, supersonic turbulence, but most established SSD theories have only considered incompressible flows. To address this gap, we perform viscoresistive SSD simulations across a range of sonic Mach numbers ($\mathcal {M}$), hydrodynamic Reynolds numbers ($\mathrm{Re}$), and magnetic Prandtl numbers ($\mathrm{Pm}$), focusing on the exponential growth phase. From these simulations, we develop robust measurements of the kinetic and magnetic energy dissipation scales ($\ell _\nu$ and $\ell _\eta$, respectively), and show that $\ell _\nu /\ell _\eta \sim \mathrm{Pm}^{1/2}$ is a universal feature of turbulent ($\mathrm{Re} \ge \mathrm{Re}_\mathrm{crit} \approx 100$), $\mathrm{Pm} \ge 1$ SSDs, regardless of $\mathcal {M}$. We also measure the scale of maximum magnetic field strength ($\ell _\mathrm{p}$), where we confirm that incompressible SSDs (where either $\mathcal {M} \le 1$ or $\mathrm{Re} \lt \mathrm{Re}_\mathrm{crit}$) concentrate magnetic energy at $\ell _\mathrm{p} \sim \ell _\eta$ with inversely correlated field strength and curvature. By contrast, for compressible SSDs (where $\mathcal {M} \gt 1$ and $\mathrm{Re} \ge \mathrm{Re}_\mathrm{crit}$), shocks concentrate magnetic energy in large, overdense, coherent structures with $\ell _\mathrm{p} \sim (\ell _\mathrm{turb} / \ell _\mathrm{shock})^{1/3} \ell _\eta \gg \ell _\eta$, where $\ell _\mathrm{shock}$ is the characteristic shock width, and $\ell _\mathrm{turb}$ is the outer scale of the turbulent field. When $\mbox{Pm}\lt \mbox{Re}^{2/3}$, the shift of $\ell _\mathrm{p}$ (from the incompressible to compressible flow regime) is large enough to move the peak magnetic energy scale out of the subviscous range, and the plasma converges on a hierarchy of scales: $\ell _\mathrm{turb}\gt \ell _\mathrm{p}\gt \ell _\mathrm{shock}\gt \ell _\nu \gt \ell _\eta$. In the compressible flow regime, more broadly, we also find that magnetic field-line curvature becomes nearly independent of the field strength, not because the field geometry has changed, but instead the field becomes locally amplified through flux-frozen compression by shocks. These results have implications for various astrophysical plasma environments in the early Universe, and cosmic ray transport models in the interstellar medium.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.223
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2025
Admission routes1
Has abstractyes

Explore more

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