MeerKAT radio continuum imaging of nearby star-forming spirals in the NGC 6221, NGC 3256/3263, and NGC 2434 galaxy groups
Bibliographic record
Abstract
Context. We present high-resolution MeerKAT 1.3 GHz radio continuum images of star-forming spirals in the nearby galaxy groups around NGC 6221, NGC 3256/3263, and NGC 2434. This sample spans the evolutionary timeline for galaxy groups, encompassing early, intermediate, and late stages, respectively. The NGC 6221 group contains an interacting galaxy pair with tidal debris, along with at least three dwarf galaxies. In contrast, the NGC 3256/3263 group represents a loose group consisting of several spiral as well as dwarf galaxies, while a massive elliptical galaxy dominates the NGC 2434 group. Aims. We study the star formation activity in all detected galaxies as it is one of the dominant physical processes in their formation and evolution, seeking evidence of environmental impact. Methods. We used MeerKAT radio continuum data and archival WISE infrared data to locate and measure the star formation rate in all group members. In particular, we used polycyclic aromatic hydrocarbons (PAHs) as tracers of gas heated due to star formation activity. Furthermore, we created in-band spectral index maps, providing insights into the underlying physical processes associated with the detected star-forming regions. For some galaxies, we also determined key stellar properties such as age and mass through SED fittings. Results. We found that galaxies are distributed differently in the WISE colour-colour diagram depending on their evolutionary group stage, as was expected. Except for ESO 059-G012, the galaxies in our sample follow the radio-W3PAH correlation. A possible scenario that explains the ESO 059-G012 result is that the galaxy has already consumed the gas. We also found evidence that the interaction among the spiral galaxies NGC 3263, NGC 3256B, and NGC 3256C is causing the Vela Cloud complex and that the galaxies NGC 6221 and NGC 3256 might host a low-luminosity active galactic nucleus, as was previously proposed in the literature.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".