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Record W2909641127 · doi:10.48550/arxiv.1811.07949

The environments of radio-loud AGN from the LOFAR Two-Metre Sky Survey (LoTSS)

2018· preprint· en· W2909641127 on OpenAlexfundno aff
J. H. Croston, M. J. Hardcastle, B. Mingo, J. Sabater, T. W. Shimwell, W. L. Williams, K. J. Duncan, H. J. A. Röttgering, M. Brienza, G. Gürkan, J. Ineson, L. K. Morabito, G. K. Miley, S. P. O’Sullivan, I. Prandoni

Bibliographic record

VenueOpen Research Online (The Open University) · 2018
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratoryBrookhaven National LaboratoryPlanetary Science DivisionScience and Technology Facilities CouncilSmithsonian Astrophysical ObservatoryJet Propulsion LaboratoryOffice of ScienceMax-Planck-Institut für AstronomieEötvös Loránd TudományegyetemUniversité d'OrléansNational Central UniversityCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftDeutsche ForschungsgemeinschaftUniversity of California, Los AngelesUniversity of PortsmouthUniversity of HertfordshireMinisterium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-WestfalenCommonwealth Scientific and Industrial Research OrganisationQueen's University BelfastUniversity of OxfordDurham UniversityYork UniversitySpace Telescope Science InstituteBundesministerium für Bildung und ForschungCarnegie Mellon UniversityLos Alamos National LaboratoryCollege of Engineering, Michigan State UniversityUniversity of WashingtonPrinceton UniversityAlfred P. Sloan FoundationJohns Hopkins UniversityQueen's UniversityNederlandse Organisatie voor Wetenschappelijk OnderzoekHarvard UniversityObservatoire de Paris, Université de Recherche Paris Sciences et LettresOhio State UniversitySmithsonian InstitutionU.S. Department of EnergyCalifornia Institute of TechnologyNational Aeronautics and Space AdministrationNew Mexico State UniversityVanderbilt UniversityScience Mission DirectorateYale UniversityScience Foundation IrelandNational Science Foundation
KeywordsLOFARPhysicsAstrophysicsSkyRedshiftActive galactic nucleusAstronomyGalaxyGalaxy clusterCluster (spacecraft)LuminosityRadio galaxyPopulationRadio telescope

Abstract

fetched live from OpenAlex

An understanding of the relationship between radio-loud active galaxies and their large-scale environments is essential for realistic modelling of radio-galaxy evolution and environmental impact, for understanding AGN triggering and life cycles, and for calibrating galaxy feedback in cosmological models. We use the LOFAR Two-Metre Sky Survey (LoTSS) Data Release 1 catalogues to investigate this relationship. We cross-matched 8,745 radio-loud AGN with 0.08

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesOpen science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0150.021
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.080
GPT teacher head0.334
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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