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Record W2074962208 · doi:10.1086/429531

Simulation of Astrophysical Jets: Collimation and Expansion into Radio Lobes

2005· article· en· W2074962208 on OpenAlexaff
Giovanni Lapenta, P. Kronberg

Bibliographic record

VenueThe Astrophysical Journal · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhysicsActive galactic nucleusSupermassive black holeCollimated lightAstrophysicsAstrophysical jetAccretion (finance)MagnetohydrodynamicsGalaxyJet (fluid)Accretion discAstronomyQuasarPlasmaOpticsMechanicsLaser

Abstract

fetched live from OpenAlex

Jets in active galactic nuclei are created in accretion disks around supermassive black holes, and they can retain their collimation up to the order of a megaparsec. To understand the physical causes of this remarkable collimation over such large distances is a great challenge and could lead to important new insights in the physics of magnetoplasmas. In the present work we take a two- pronged approach. First, we simulate the behavior of jets using a new, recently developed, mathematical model. Second, we analyze the observational evidence from the well- defined jet of the relatively distant radio galaxy 3C 303. We derive new constraints on the plasma properties of the jet. The final goal is to determine the ability of MHD models to describe the collimation of extragalactic jets, their physical nature, and their role in formation of radio lobes.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.614

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 head0.007
GPT teacher head0.236
Teacher spread0.228 · 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

Citations12
Published2005
Admission routes1
Has abstractyes

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