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Record W2111611483 · doi:10.1093/mnras/stu499

Radio-continuum study of Large Magellanic Cloud supernova remnant J0509−6731

2014· article· en· W2111611483 on OpenAlexaff
L. M. Bozzetto, M. D. Filipović, D. Urošević, R. Kothes, E. J. Crawford

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsHerzberg Institute of Astrophysics
Fundersnot available
KeywordsPhysicsSupernova remnantSpectral indexAstrophysicsPolarization (electrochemistry)Large Magellanic CloudMagnetic fieldAstronomyTelescopeSupernovaSpectral lineStars

Abstract

fetched live from OpenAlex

We present a detailed study of Australia Telescope Compact Array observations (λ = 20, 13, 6 and 3 cm) of supernova remnant (SNR) J0509−6731 in the Large Magellanic Cloud. The remnant has a ring morphology with brightened regions towards the south-western limb. We also find a second brightened inner ring which is only seen in the radio continuum. The SNR is almost circular, with a diameter ranging from 7 to 8 pc, and a steep radio spectral index between 36 and 3 cm of α = −0.73 ± 0.02, which is characteristic of younger SNRs. We also report detection of radially orientated polarization across the remnant at 6 cm, with a mean fractional polarization level of P ≅ (26 ± 13) per cent. We find the magnetic field (∼168 μG) and Σ–D (Σ = 1.1 × 10−19 W m−2 Hz−1 sr−1, D = 7.35 pc) to be consistent with other young remnants.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.200
Teacher spread0.194 · 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

Citations26
Published2014
Admission routes1
Has abstractyes

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