Homogeneous Photometry. III. A Star Catalog for the Open Cluster NGC 6791
Bibliographic record
Abstract
We present broadband BVI photometry for the open cluster NGC 6791, based upon analysis of 1764 individual CCD images. We discuss in detail the transformation of the instrumental magnitudes to the standard photometric system of Landolt and then discuss methods for selecting a subset of cluster stars whose photometric indices are most likely to be of high reliability. Color‐magnitude and color‐color diagrams for the cluster are presented and discussed. A detailed comparison of this photometry with the results of previous observational studies is presented. We make preliminary comparisons with theoretical isochrones provided by D. A. VandenBerg and conclude that an excellent match can be achieved if the metal abundance and age of the cluster are both near the upper end of the range of recent estimates ([Fe/H] ≈ +0.3, age ≈ 12 Gyr) and the reddening and true distance modulus are both near the low end of the range of recent estimates [ E ( B−V ) ≈ 0.09 mag and ( m−M ) 0 ≈ 12.79 mag] if the isochrone predictions are reliable. A companion paper will discuss candidate variable stars and stars possibly showing planetary transits. Data tables listing measured magnitudes and standard errors, image‐quality indices, a variability index, and equinox J2000.0 equatorial coordinates for 14,342 stars to V∼24 have been made available to the public through the services of the Canadian Astronomy Data Centre. Equatorial coordinates only have been provided for a further 1916 stars, the photometry for which we were unable to calibrate because of lack of color information.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.043 | 0.044 |
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".