A comprehensive multiwavelength study of the OH megamaser galaxy IRAS 09320+6134
Bibliographic record
Abstract
ABSTRACT We present a multiwavelength study of the gas distribution, kinematics, and excitation of the OH megamaser galaxy IRAS 09320+6134 (UGC 5101) using Gemini Multi-Object Spectrograph Integral Field Unit, Hubble Space Telescope, and Very Large Array observations. The HST ACS F814W i-band and H $\alpha +[$N ii$]\lambda \lambda 6548,84$ narrow-band images indicate that this galaxy is a late-stage merger. The ionized gas emission in the inner $\sim$2 kpc radius, traced by the GMOS data, is consistent with two kinematic components: (i) a rotating disc, observed as a narrow component in the emission-line profiles, with velocity dispersion of $\sigma \le 200$ km s$^{-1}$, and (ii) an outflow, traced by a broad component in the emission-line profiles, with $\sigma \ge 500$ km s$^{-1}$. The disc component is well reproduced by a model of rotation in a plane with similar orientation to that of the large-scale galaxy disc. The outflow component presents bulk velocities of up to $-500$ km s$^{-1}$ and corresponds to a mass outflow rate of $\dot{M}_o=0.122\pm 0.026 M_{\odot }\, \text{yr}^{-1}$. Emission-line ratio diagrams indicate that the gas excitation is mainly due to an active galactic nucleus, likely the driver of the outflow. The VLA radio image reveals a dominant radio core with two-sided emission along the NE–SW direction. The radio core’s spectral index and brightness temperature indicate AGN emission, with the extended emission resembling both in morphology and spectral index the emission observed in radio-quiet quasars. Combined with previous similar studies of other OH megamaser galaxies, this work supports that this phase is linked to the triggering of an AGN, which seems to occur in the final stages of a merger.
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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 | 0.001 |
| 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".