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Record W2963877522 · doi:10.22323/1.267.0003

The MWA GLEAM 4 Jy sample; a new large, bright radio source sample at 151 MHz

2016· article· en· W2963877522 on OpenAlexaff
Carole Jackson, T. M. O. Franzen, S. V. White, Tara Murphy, E. M. Sadler, J. R. Callingham, R. W. Hunstead, Jake Hughes, Jasper Wall, M. E. Bell, K. S. Dwarakanath, Bi‐Qing For, B. M. Gaensler, P. J. Hancock, L. Hindson, N. Hurley‐Walker, M. Johnston‐Hollitt, A. D. Kapińska, E. Lenc, B. McKinley, John Morgan, A. R. Offringa, P. Procopio, L. Staveley‐Smith, R. B. Wayth, Chen Wu, Qian Zheng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of British Columbia
FundersDepartment of Industry and Science, Australian GovernmentMinistero degli Affari Esteri e della Cooperazione InternazionaleAustralian GovernmentCommonwealth Scientific and Industrial Research OrganisationCurtin University of TechnologyNvidiaAstronomy Australia LimitedHarvard University
KeywordsSample (material)RedshiftSkyAstrophysicsAstronomyPhysicsComputer scienceGalaxy

Abstract

fetched live from OpenAlex

This paper outlines how the new GaLactic and Extragalactic All-sky MWA Survey (GLEAM, Wayth et al. 2015), observed by the Murchison Widefield Array covering the frequency range 72 -231 MHz, allows identification of a new large, complete, sample of more than 2000 bright extragalactic radio sources selected at 151 MHz.With a flux density limit of 4 Jy this sample is significantly larger than the canonical fully-complete sample, 3CRR (Laing, Riley & Longair 1983).In analysing this small bright subset of the GLEAM survey we are also providing a firstuser check of the GLEAM catalogue ahead of its public release (Hurley-Walker et al. in prep).Whilst significant work remains to fully characterise our new bright source sample, in time it will provide important constraints to evolutionary behaviour, across a wide redshift and intrinsic radio power range, as well as being highly complementary to results from targeted, small area surveys. EXTRA-RADSUR2015 (*) 20-23 October 2015 Bologna,

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.009
GPT teacher head0.213
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes1
Has abstractyes

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