The build-up of the red-sequence in galaxy clusters since z~0.8
Bibliographic record
Abstract
We study the rest-frame (U-V) color-magnitude relation in 4 clusters at redshifts 0.7-0.8, drawn from the ESO Distant Cluster Survey. We confirm that red-sequence galaxies in these clusters can be described as an old, passively-evolving population and we demonstrate, by comparison with the Coma cluster, that there has been significant evolution in the stellar mass distribution of red-sequence galaxies since z~0.75. The EDisCS clusters exhibit a deficiency of low luminosity passive red galaxies. Defining as `faint' all galaxies in the passive evolution corrected range 0.4>~ L/L*>~0.1, the luminous-to-faint ratio of red-sequence galaxies varies from 0.34+/-0.06 for the Coma cluster to 0.81+/-0.18 for the high redshift clusters. These results exclude a synchronous formation of all red-sequence galaxies and suggest that a large fraction of the faint red galaxies in current clusters moved on to the red-sequence relatively recently. Their star formation activity presumably came to an end at z
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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 | 0.000 | 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) | 0.001 | 0.000 |
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".