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Record W2785274269 · doi:10.3847/1538-4365/aa989c

The Dusty Galactic Center as Seen by SCUBA-2

2018· article· en· W2785274269 on OpenAlexfundno aff
Harriet Parsons, J. T. Dempsey, H. Thomas, David Berry, M. J. Currie, Per Friberg, J. G. A. Wouterloot, A. Chrysostomou, Sarah Graves, R. P. J. Tilanus, Graham Bell, Mark G. Rawlings

Bibliographic record

VenueThe Astrophysical Journal Supplement Series · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsnot available
FundersCanadian Space AgencyScience and Technology Facilities CouncilNational Astronomical Observatory of JapanNederlandse Organisatie voor Wetenschappelijk OnderzoekKorea Astronomy and Space Science InstituteChinese Academy of SciencesAcademia Sinica
KeywordsCenter (category theory)Galactic CenterAstronomyAstrophysicsPhysicsGalaxy

Abstract

fetched live from OpenAlex

Abstract We present new JCMT SCUBA-2 observations of the Galactic Center region from and , covering 10 × 2 square degrees along the Galactic Plane to a depth of 43 mJy beam −1 at 850 μ m and 360 mJy beam −1 at 450 μ m. We describe the mapping strategy and reduction method used. We present 12 CO(3-2) observations of selected regions in the field. We derive the molecular-line conversion factors (mJy beam −1 per K km s −1 ) at 850 and 450 μ m, which are then used to obtain the amount of contamination in the continuum maps due to 12 CO(3-2) emission in the 850 μ m band. Toward the fields where the CO contamination has been accounted for, we present an 850 μ m CO-corrected compact source catalog. Finally, we look for possible physical trends in the CO contamination with respect to column density, mass, and concentration. No trends were seen in the data despite the recognition of three contributors to CO contamination: opacity, shocks, and temperature, which would be expected to relate to physical conditions. These SCUBA-2 Galactic Center data and catalog are available via https://doi.org/10.11570/17.0009 .

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
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 studies0.0030.001
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 head0.007
GPT teacher head0.247
Teacher spread0.240 · 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 designNot applicable
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

Citations44
Published2018
Admission routes1
Has abstractyes

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