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Record W2952309280 · doi:10.1086/342091

Discovery of High-Latitude CO in an H [CSC]i[/CSC] Supershell in NGC 5775

2002· article· en· W2952309280 on OpenAlexaff

Bibliographic record

VenueThe Astrophysical Journal · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsLine (geometry)Kinetic energyLatitudeExcited stateCosmic rayMolecular cloud

Abstract

fetched live from OpenAlex

We report the discovery of very high latitude molecular gas in the edge-on spiral galaxy NGC 5775. Emission from both the J = 1-0 and 2-1 lines of 12 CO is detected up to 4.8 kpc away from the midplane of the galaxy. NGC 5775 is known to host a number of H I supershells. The association of the molecular gas ( M = 3.1 × 10 7 M ☉ ) reported here with one of the H I supershells (labeled F2) is clear, which suggests that molecular gas may have survived the process that originally formed the supershell. Alternatively, part of the gas could have been formed in situ at high latitude from shock compression of preexisting H I gas. The CO J = 2-1/ J = 1-0 line ratio of 0.34 ± 40% is significantly lower than unity, which suggests that the gas is excited subthermally, with gas density a few times 10 2 cm -3 . The molecular gas is likely in the form of cloudlets that are confined by magnetic and cosmic-ray pressure. The potential energy of the gas at high latitude is found to be 2 × 10 56 ergs, and the total (H I+H 2 ) kinetic energy is 9 × 10 53 ergs. Based on the energetics of the supershell, we suggest that most of the energy in the supershell is in the form of potential energy and that the supershell is on the verge of falling and returning the gas to the disk of the galaxy.

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 score0.029
Threshold uncertainty score0.057

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 communication0.0010.000
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 head0.010
GPT teacher head0.215
Teacher spread0.205 · 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

Citations7
Published2002
Admission routes1
Has abstractyes

Explore more

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