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Record W2082216231 · doi:10.1063/1.2932112

Magnetic instabilities in collisionless astrophysical rotating plasma with anisotropic pressure

2008· article· en· W2082216231 on OpenAlexaff
A. B. Mikhaǐlovskiǐ, J. G. Lominadze, A. I. Smolyakov, A. P. Churikov, V. D. Pustovitov, N. N. Erokhin

Bibliographic record

VenuePhysics of Plasmas · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhysicsPlasmaMagnetic fieldMagnetic pressureAnisotropyClassical mechanicsPressure gradientDifferential rotationDispersion relationAtmospheric-pressure plasmaDifferential equationInstabilityMechanicsMagnetohydrodynamicsQuantum electrodynamicsRotation (mathematics)Condensed matter physicsQuantum mechanicsMagnetizationGeometry

Abstract

fetched live from OpenAlex

A technique is developed for analytical study of instabilities in collisionless astrophysical rotating plasma with anisotropic pressure that may lead to magnetic turbulence. Description is based on a pair of equations for perturbations of the radial magnetic field and the sum of magnetic field and perpendicular plasma pressures. From these equations, a canonical second-order differential equation for the perturbed radial magnetic field is derived and, subsequently, the dispersion relation for local perturbations. The paper predicts two varieties of hybrid instabilities due to the effects of differential plasma rotation and pressure anisotropy: The rotational-firehose and rotational-mirror ones. When the gravitation force is weak compared with the perpendicular pressure gradient, a new family of instabilities (the pressure-gradient-driven) is revealed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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 designObservational
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

Citations8
Published2008
Admission routes1
Has abstractyes

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