Modelling the kinematics of the cold gas in galaxies using GalAPAGOS
Bibliographic record
Abstract
Galaxy rotation curves are the primary method of investigation into galaxy kinematics in this work. The University of Manitoba developed software package GalAPAGOS was renovated for optically thin gas, as well as used to generate the galaxy rotation curves. GalAPAGOS uses analytic fitting equations to produce models and describe the galaxy kinematics, as well as the density distribution. GalAPAGOS was applied to both HI and CO observational spectral line cubes to demonstrate that these model rotation curves and density profiles would benefit studies of normal galaxies (e.g. NGC 3198), peculiar galaxies (e.g. NGC 2188), and the centres of ellipticals (e.g. NGC 3665). The family of models generated for each galaxy were able to accurately reproduce the morphology and kinematic characteristics of these galaxies, along with density profiles and rotation curves. We then used the rotation curves to calculate the total dynamical mass inside the radius of the observed gas disk.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".