Central oxygen abundances in the spiral galaxies of the MaNGA survey: Galaxies with central starbursts
Bibliographic record
Abstract
We examine whether there are deviations of the local central oxygen abundances in spiral galaxies from the general metallicity gradients. We compare the values of the central intersect oxygen abundances estimated from the metallicity gradient based on the integral field unit (IFU) spectroscopy from the Mapping Nearby Galaxies at the Apache Point Observatory (MaNGA) survey and the local central oxygen abundances obtained from the single-fibre observations from the Sloan Digital Sky Survey (SDSS). Special attention is placed on galaxies with recent and currently ongoing central starbursts (cSB galaxies). We selected a sample of 30 cSB galaxies from our total sample of 381 MaNGA galaxies, using the decrease in the Dn4000 index (a stellar age indicator) in the circumnuclear region as the selection criterion. We found that the local central oxygen abundances follow the general metallicity gradients in the galaxies well and agree with the central intersect abundances within uncertainties of the central abundances determinations. Starbursts in the centres of cSB galaxies do not produce noticeable oxygen enrichments. The central starbursts imply that an appreciable amount of gas is present at the centres of cSB galaxies. The gas at the centre of galaxy can serve not only as a raw material for the star formation, but also as a fuel for the activity of the galactic nucleus (AGN). We found that the AGN is the main source of the ionising radiation at the centres of six cSB galaxies in our sample.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".