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Record W4408293108 · doi:10.1051/0004-6361/202453406

Evolution, speed, and precession of the parsec-scale jet in the 3C 84 radio galaxy

2025· article· en· W4408293108 on OpenAlexfundno aff
Marianna Foschi, José L. Gómez, Antonio Fuentes, Alan P. Marscher

Bibliographic record

VenueAstronomy and Astrophysics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsnot available
FundersFundación Bancaria Caixa d'Estalvis i Pensions de BarcelonaInstituto de Astrofísica de AndalucíaKorea Astronomy and Space Science InstituteNational Science FoundationYonsei UniversityMinisterio de Economía y CompetitividadNuclear Safety and Security CommissionUniversité LavalAgencia Estatal de InvestigaciónNational Aeronautics and Space Administration
KeywordsPhysicsAstrophysicsVery Long Baseline ArrayParsecVery-long-baseline interferometryEpoch (astronomy)GalaxyPrecessionAstronomyRadio galaxyScale (ratio)Jet (fluid)Active galactic nucleus

Abstract

fetched live from OpenAlex

We present high-resolution images of the radio source 3C 84 at 43 GHz from 121 observations conducted by the BEAM-ME monitoring program between 2010 and 2023. Imaging was performed using the recent forward modeling imaging method eht-imaging ; it achieved a resolution of 80 μas, which is a factor of ∼2−3 better than traditional imaging methods such as CLEAN. The sequence of images depicts the growth and expansion of the parsec-scale relativistic jet in 3C 84; it clearly shows a complex internal structure with bending in the jet and changes in its launching direction and expansion speed. We report measurements of the expansion speed over time, which show that the jet goes through three regimes, marked by the start and end of a hot spot frustration phase. The high resolution of the images also allowed us to measure the projected launching direction as a function of time, and we find an irregular variation pattern. Our results confirm previous studies of the morphological transition undergone by 3C 84 and provide quantitative measurements of the jet’s kinematic properties over a decade-long timescale.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.438

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 head0.005
GPT teacher head0.212
Teacher spread0.207 · 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

Citations5
Published2025
Admission routes1
Has abstractyes

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