Dissecting the luminosity function of the Coma cluster of galaxies by means of CFHT wide field images
Bibliographic record
Abstract
By means of wide-field (42x28 arcmin) CCD images of the Coma cluster of galaxies and of control fields, taken at the Canada-France-Hawaii telescope with the CFH12K and UH8K cameras, we determine the luminosity function bi-variate in central brightness. We found a clear progression for a steeping and weakening of the FL going from high surface brightness galaxies (mu~20$ mag/arcsec2) to galaxies of very-faint central brightnesses (mu 24.5 mag/arcsec2). Compact galaxies, usually rejected in the star/galaxy classification, are found to be a minor population in Coma. A huge population of low surface brightness galaxies red and faint are discovered, representing the largest contributor to the LF at faint magnitudes. Among them, there could be the remnant of high redshift starbursting galaxies responsible for the Butcher-Oemler effect.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.008 | 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".