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Record W4285490020 · doi:10.1117/12.2630104

Discovery of planetary nebulae in NGC 4214 using SITELLE

2022· article· en· W4285490020 on OpenAlexaffabout
Sébastien Vicens, Laurent Drissen, Carmelle Robert

Bibliographic record

VenueGround-based and Airborne Instrumentation for Astronomy IX · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPhysicsPlanetary nebulaAstrophysicsGalaxyAstronomyNebulaSpectrographTelescopeLuminosityEmission spectrumRadial velocityDoubly ionized oxygenSpectral lineStars

Abstract

fetched live from OpenAlex

We present data taken with the imaging Fourier transform spectrograph SITELLE, at the Canada-France-Hawaii Telescope, of the nearby dwarf starburst galaxy NGC 4214. From these data, we identify 18 new planetary nebula candidates in the outer part of the galaxy. For each planetary nebula, we provide the flux of the strong emission lines, the [Oiii]λλ5007,4959 Hα and Hβ, as well as the radial velocity. We also provide the kinematics for 13 of the 17 planetary nebulae previously discovered in the central part of the galaxy with HST data by Dopita et al. (2010). We present a novative technique to obtain accurate velocity measurement for objects with [Oiii] emission but without Hα emission with SITELLE. We use the [Oiii] emission line luminosity function of the planetary nebulae to establish a new velocity-independent distance for the galaxy. This method gives a distance D = 3.31+0.20 −0.27 Mpc for NGC 4214.

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 score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.011
GPT teacher head0.219
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

Citations0
Published2022
Admission routes2
Has abstractyes

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