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Record W2013481602 · doi:10.1103/physrevd.74.044005

Jet formation driven by the expansion of magnetic bridges between the ergosphere and the disk around a rapidly rotating black hole

2006· article· en· W2013481602 on OpenAlexfundno aff
Shinji Koide, Takahiro Kudoh, Kazunari Shibata

Bibliographic record

VenuePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
FundersNational Institute for Fusion ScienceInstitut national de la recherche scientifique
KeywordsPhysicsMagnetic pressureMagnetic fieldJet (fluid)Magnetic fluxMechanicsRADIUSPinchMagnetohydrodynamicsMagnetizationNuclear physics

Abstract

fetched live from OpenAlex

We report two-dimensional numerical results of jet formation driven by a magnetic field due to a current loop near a rapidly rotating black hole. We initially set the current loop along the intersection of the equatorial plane and the surface of the ergosphere around the black hole. In such magnetic configurations, there are magnetic flux tubes which bridge the region between the ergosphere and the corotating disk. The magnetic flux tube, which we call a ``magnetic bridge,'' is twisted rapidly by the plasma in the ergosphere due to the frame-dragging effect. The magnetic pressure of the magnetic flux tube increases and the strong magnetic pressure blows off the plasma near the ergosphere to form outflow. The outflow is pinched by the magnetic tension of the magnetic flux tube. Then, eventually, the jet is formed. That is, the magnetic bridges cannot be stationary, and they expand explosively to form a jet. The parameter survey of the background pressure shows that the radius of the collimated jet depends on the gas pressure of the corona. However, this does not mean the gas pressure collimates the jet. The gas pressure decelerates the jet and the pinch effect by the magnetic field becomes significant.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.288
Teacher spread0.273 · 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.

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

Citations37
Published2006
Admission routes1
Has abstractyes

Explore more

Same venuePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmologySame topicAstrophysical Phenomena and ObservationsFrench-language works237,207