FIDUCIAL STELLAR POPULATION SEQUENCES FOR THE<i>VJK<sub>S</sub></i>PHOTOMETRIC SYSTEM
Bibliographic record
Abstract
We have obtained broadband near-infrared photometry for seven Galactic star clusters (M 92, M 15, M 13, M 5, NGC 1851, M 71, and NGC 6791) using the WIRCam wide-field imager on the Canada–France–Hawaii Telescope, supplemented by images of NGC 1851 taken with HAWK-I on the Very Large Telescope. In addition, Two Micron All Sky Survey (2MASS) observations of the [Fe/H] ≈0.0 open cluster M 67 were added to the cluster database. From the resultant ( V − J ) − V and ( V − K S ) − V color–magnitude diagrams (CMDs), fiducial sequences spanning the range in metallicity, −2.4 ≲ [Fe/H] ≲ +0.3, have been defined which extend (for most clusters) from the tip of the red giant branch (RGB) to ∼2.5 mag below the main-sequence turnoff. These fiducials provide a valuable set of empirical isochrones for the interpretation of stellar population data in the 2MASS system. We also compare our newly derived CMDs to Victoria isochrones that have been transformed to the observed plane using recent empirical and theoretical color– T eff relations. The models are able to reproduce the entire CMDs of clusters more metal rich than [Fe/H] ≈−1.4 quite well, on the assumption of the same reddenings and distance moduli that yield good fits of the same isochrones to Johnson–Cousins BV ( RI ) C photometry. However, the predicted giant branches become systematically redder than the observed RGBs as the cluster metallicity decreases. Possible explanations for these discrepancies are discussed.
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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 | 0.001 | 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) | 0.004 | 0.002 |
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".