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Record W4411036493 · doi:10.1017/pasa.2025.10025

A new radio continuum study of the large magellanic cloud supernova remnant MC SNR J0519–6902

2025· article· en· W4411036493 on OpenAlexaff
R. Z. E. Alsaberi, M. D. Filipović, Hidetoshi Sano, Shi Dai, F. Haberl, Patrick Kavanagh, D. A. Leahy, P. Maggi, Gavin Rowell, M. Sasaki, I. R. Seitenzahl, D. Urošević, J. L. Payne, Zachary J. Smeaton, Sanja Lazarević

Bibliographic record

VenuePublications of the Astronomical Society of Australia · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsUniversity of Calgary
FundersSerbian Academy of Sciences and ArtsBulgarian Academy of SciencesMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaCommonwealth Scientific and Industrial Research Organisation
KeywordsPhysicsSupernova remnantLarge Magellanic CloudAstrophysicsAstronomyNear-Earth supernovaSupernovaStars

Abstract

fetched live from OpenAlex

Abstract We present a new radio continuum study of the Large Magellanic Cloud supernova remnant (SNR) MC SNR J0519–6902. With a diameter of $\sim$ 8 pc, this SNR shows a radio ring-like morphology with three bright regions towards the north, east, and south. Its linear polarisation is prominent with average values of $5\pm1$ % and $6\pm1$ % at 5 500 and 9 000 MHz, and we find a spectral index of ${-0.62\pm0.02}$ , typical of a young SNR. The average rotation measure is estimated at ${-124\pm83}$ rad m $^{-2}$ and the magnetic field strength at ${\sim11}\,\mu$ G. We also estimate an equipartition magnetic field of ${72\pm 5}\,\mu$ G and minimum explosion energy of E $_\textrm{ min}$ = 2.6 $\times10^{48}$ erg. Finally, we identified an H i cloud that may be associated with MC SNR J0519–6902, located in the southeastern part of the remnant, along with a potential wind-bubble cavity.

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 score0.005
Threshold uncertainty score0.010

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 studies0.0010.000
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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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