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Record W2051140708 · doi:10.1088/0004-637x/776/2/65

REGIONAL VARIATIONS IN THE DENSE GAS HEATING AND COOLING IN M51 FROM<i>HERSCHEL</i>FAR-INFRARED SPECTROSCOPY

2013· article· en· W2051140708 on OpenAlexafffund

Bibliographic record

VenueThe Astrophysical Journal · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsMcMaster University
FundersNational Astronomical Observatories, Chinese Academy of SciencesScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyJet Propulsion LaboratoryCentre National d’Etudes SpatialesBundesministerium für Verkehr, Innovation und TechnologieCentre National de la Recherche ScientifiqueKU LeuvenNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Aeronautics and Space AdministrationCalifornia Institute of TechnologyImperial College LondonUK Space AgencyMax-Planck-Institut für AstronomieCardiff University
KeywordsFlux (metallurgy)SpectroscopySpire (mollusc)RadiationRadiation fluxPhotonFalling (accident)Radiative cooling

Abstract

fetched live from OpenAlex

We present Herschel PACS and SPIRE spectroscopy of the most important far-infrared cooling lines in M51, [C ii ](158 μm), [N ii ](122 and 205 μm), [O i ](63 and 145 μm), and [O iii ](88 μm). We compare the observed flux of these lines with the predicted flux from a photon-dominated region model to determine characteristics of the cold gas such as density, temperature, and the far-ultraviolet (FUV) radiation field, G 0 , resolving details on physical scales of roughly 600 pc. We find an average [C ii ]/ F TIR of 4 × 10 −3 , in agreement with previous studies of other galaxies. A pixel-by-pixel analysis of four distinct regions of M51 shows a radially decreasing trend in both the FUV radiation field, G 0 , and the hydrogen density, n , peaking in the nucleus of the galaxy, and then falling off out to the arm and interarm regions. We see for the first time that the FUV flux and gas density are similar in the differing environments of the arm and interarm regions, suggesting that the inherent physical properties of the molecular clouds in both regions are essentially the same.

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)0.001
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.009
GPT teacher head0.217
Teacher spread0.208 · 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

Citations60
Published2013
Admission routes2
Has abstractyes

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