Homogeneous Photometry. IV. On the Standard Sequence in the Globular Cluster NGC 2419
Bibliographic record
Abstract
I present a new analysis of CCD‐based BVRI broadband photometry for the globular cluster NGC 2419, based on 340 CCD images either donated by colleagues or retrieved from public archives. The calibrated results have been made available through my Web site. I compare the results of my analysis with those of an independent analysis of a subset of these data by Saha et al. ( 2005 , PASP , 117, 37), who have found a color‐dependent discrepancy of up to 0.05 mag between their I ‐band photometry and mine for stars in this cluster. I conclude that a major part of the discrepancy appears to be associated with small shutter timing errors (a few hundredths of a second) in the Mini‐Mosaic (MIMO) camera on the WIYN 3.5 m telescope. Smaller contributions to the anomaly likely come from (1) a color‐scale error with a maximum amplitude of ∼±0.02 mag in my secondary standard list as of 2004 September, and (2) statistical effects arising from the previous study's use of a relatively small number of standard‐star observations to determine a comparatively large number of fitting parameters in the photometric transformations.
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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 | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".