Propagating Star Formation in the Collisional Ring Galaxy Arp 10
Bibliographic record
Abstract
Propagating star formation in a collisional ring galaxy Arp 10 is investigated by a complex approach, which includes the broadband and narrowband photometry, long-slit spectroscopy, and scanning Fabry-Perot spectroscopy. The ionized gas velocity field obtained with best spatial resolution to date indicates a nonisotropic expansion of the outer ring with a maximum velocity 110 km s -1 . Strong vertical and noncircular motions are also seen in the vicinity of the inner ring. Our kinematic data suggest that Arp 10 has a small inclination i = 22 ° and high total mass (10 12 M ☉ within a 50 kpc radius). The abundance of oxygen 12 + log(O/H) in both star-forming rings is about 8.6. The analysis of spectral indices provides an estimate on the propagation velocities of both rings and metallicity of the precollision stellar population. A small "knot" near the nucleus of Arp 10 is unambiguously identified as the "intruder." The intruder spectrum suggests that it was a spiral galaxy before the collision, and its present mass amounts to at least one-fourth of the total mass of Arp 10. We use a simplified two-dimensional hydrodynamic modeling of galaxy collisions to test a collisional origin of Arp 10. The sizes of the inner and outer rings, maximum expansion velocity of the outer ring, and radial profile of the gas circular velocity can be reproduced by a near-central collision with the intruder galaxy, which occurred approximately 85 Myr ago. We acknowledge that an apparent crescent-shaped distribution of Hα emission in the outer ring is caused by a star formation threshold in the gas disk of Arp 10.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".