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Record W2116562085 · doi:10.1051/0004-6361:20066935

Discovery of a new faint radio SNR G108.2-0.6

2007· article· en· W2116562085 on OpenAlexafffundabout
W. W. Tian, D. A. Leahy, T. Foster

Bibliographic record

VenueAstronomy and Astrophysics · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsBrandon UniversityUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsPhysicsSupernova remnantAstrophysicsSpectral indexGalactic planeSurface brightnessBrightnessFlux (metallurgy)Shell (structure)SupernovaSpectral lineAstronomyGalaxy

Abstract

fetched live from OpenAlex

A new faint and large shell-type radio Supernova Remnant (SNR) G108.2-0.6 has been discovered in the Canadian Galactic Plane Survey (CGPS). The SNR shows an elliptical shell-type structure at 1420 MHz, and has a 408–1420 MHz TT-plot spectral index of α= -0.5±0.1 (ν), typical of a shell-type SNR. The remnant's flux density at 1420 MHz is 6.6±0.7 Jy, and at 408 MHz is 11.5±1.2 Jy. Both of these are corrected for compact sources. An integrated spectral index of -0.45±0.13 is determined. This new SNR has among the lowest surface brightness of any known remnants ( = 2.410-22 W m-2 Hz-1 sr-1). 21 cm Stokes Q and U CGPS data (plus preliminary Effelsberg Q and U maps) show some suggestive features that correlate with total power. observations show structures associated with G108.2-0.6 in the radial velocity range -53 to -58 km s-1, and indicate it is located in the Perseus arm shock at a distance of 3.2±0.6 kpc. At this distance the diameter of G108.2-0.6 is 58 pc. IRAS maps (12, 25, 60 and 100 μm) of the new SNR show rich infrared emission surrounding G108.2-0.6.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score1.000

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 head0.006
GPT teacher head0.204
Teacher spread0.197 · 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.

Study designOther design
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

Citations22
Published2007
Admission routes3
Has abstractyes

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