A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE)
Bibliographic record
Abstract
The Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE) survey is a blind narrow-band Hα + [N II] imaging survey of the Virgo cluster carried out with MegaCam of the Canada-France-Hawaii Telescope. The survey provides deep narrow-band images for 385 galaxies hosting star-forming H II regions. We identify individual H II regions and measure their main physical properties such as Hα luminosity, equivalent diameter, and electron density with the purpose of deriving standard relations that can serve as a reference for future local and high-z studies of H II regions in star-forming systems in different environments. For this purpose, we used a complete sample of ≃13.000 H II regions of luminosity L(Hα)≥1037 erg s−1 in order to derive the main statistical properties of H II regions in unperturbed systems, which are identified as those galaxies with a normal H I gas content, and are in total 64 objects. These are the composite Hα luminosity function, equivalent diameter and electron density distribution, and luminosity-size relation. We also derived the main scaling relations between several parameters representative of the H II regions (total number, luminosity of the first ranked regions, fraction of the diffuse component, best-fit parameters of the Schechter luminosity function measured for individual galaxies) and those characterising the properties of the host galaxies (stellar mass, star formation rate and specific star formation rate, stellar mass and star formation rate surface density, metallicity, molecular-to-atomic gas ratio, total gas-to-dust mass ratio). We briefly discuss the results of this analysis and their implications in the study of the star formation process in galaxy discs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".