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Record W2999501442 · doi:10.1063/1.5127070

Stellar rotation effects on the stellar winds

2020· article· en· W2999501442 on OpenAlexaboutno aff
Bhimsen K. Shivamoggi

Bibliographic record

VenuePhysics of Plasmas · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsStellar rotationAstrophysicsMagnetohydrodynamicsCorona (planetary geology)Rotation (mathematics)Magnetohydrodynamic driveMagnetic fieldStarsAstronomy

Abstract

fetched live from OpenAlex

The purpose of this paper is to give detailed systematic considerations to clarify and provide insights and a qualitative guide into the role of the azimuthal wind flow in the stellar-rotation braking mechanism. For this purpose, we make use of the Weber-Davis [Astrophys. J. 148, 217 (1967)] magnetohydrodynamic (MHD) version of Parker's [Astrophys. J. 128, 664 (1958)] stellar wind model. For the case when the magnetic field is primarily radial (as that near the surface of a star), the Weber-Davis [Astrophys. J. 148, 217 (1967)] “slow” magnetosonic critical point becomes Parker's [Astrophys. J. 128, 664 (1958)] sonic critical point, and the azimuthal wind flow can be approximated by corotation. Stellar rotation is shown to cause the sonic critical point to occur lower in the corona, and so the stellar wind experiences a stronger “afterburner” (as in an aircraft jet engine) action in the corona. Our results show that stellar rotation leads to considerably enhanced stellar wind acceleration even for moderate rotators like the sun. On the other hand, the stellar wind is shown to experience an immensely enhanced acceleration in a narrow shell near the star for strong rotators. This is underscored by the sonic critical point occurring considerably lower in the corona for strong rotators, hence supporting a huge afterburner action in the corona for such stars. For strong rotators, this sonic critical point is shown to be determined only by the basic stellar parameters such as mass M and angular velocity Ω∗, which signify the dominance of centrifugal and magnetic drivings in accelerating the stellar wind for such stars. Stellar rotation causes the physical throat section of the effective “de Laval” nozzle associated with the stellar wind flow to become narrower and the nozzle to also have a larger flare, indicative of an enhanced flow acceleration. The de Laval nozzle analogy does not, however, comply with the density drop in the stellar wind correctly. Thus, stellar rotation leads to tenuous and faster stellar wind flows without changes in the mass flux and hence enables protostars and strong rotators to lose their angular momentum quickly.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.520

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 head0.013
GPT teacher head0.217
Teacher spread0.204 · 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 designTheoretical or conceptual
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

Citations4
Published2020
Admission routes1
Has abstractyes

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