Galaxy Clustering Evolution in the UH8K Weak‐Lensing Fields
Bibliographic record
Abstract
We present measurements of the two-point galaxy angular correlation function as a function of apparent magnitude, color, and morphology. Our analysis utilizes images taken using the UH8K CCD mosaic camera on the Canada-France-Hawaii Telescope. Six 0 5 × 0 5 fields were observed for a total of 2 hr each in I and V , resulting in catalogs containing ~25,000 galaxies per field. We present new galaxy number counts to limiting magnitudes of I = 24.0 and V = 25.0. We divide each passband sample into intervals of width 1 mag. Within each magnitude interval, we parameterize the angular correlation function by A ω θ -δ and find ω(θ) to be well described by a power law of index δ = 0.8. We find the amplitude of the correlation function, A ω , to decrease monotonically with increasingly faint apparent magnitude. We compare with predictions that utilize redshift distributions based on deep spectroscopic observations. We conclude that simple redshift-dependent models that characterize evolution by means of the parameter inadequately describe the observations. This is because the predictions do not allow for the varying mix of morphologies and absolute luminosities (and hence clustering strengths) of galaxies sampled at different apparent magnitudes. We find a strong clustering dependence on V-I color. This is because galaxies of extreme color lie at similar redshifts and the angular correlation functions for these samples are minimally diluted by chance projections. We find extremely red ( V - I = 3.0) galaxies (likely early-type galaxies at z ~ 1) to have an A ω about 10 times higher, and extremely blue ( V - I = 0.5) galaxies (likely local late types) to have an A ω about 15-20 times higher, than that measured for the full field population. We then present the first attempt to investigate the redshift evolution of clustering, utilizing a population of galaxies of the same morphological type and absolute luminosity. We study the dependence of ω(θ) on redshift for L * early-type galaxies in the redshift range 0.2 < z < 0.9. Although uncertainties are large, we find the evolution in the clustering of these galaxies to be consistent with stable clustering [ = 0 for a redshift dependence of the spatial correlation function, ξ( r ), parameterized as ξ( r , z ) = -γ (1 + z ) -(3+ ) ]. We find L * early-type galaxies to cluster slightly more strongly (physical correlation length r 0 = 5.25 ± 0.28 h -1 Mpc assuming = 0) than the local full field population. This is in good agreement with the correlation length measured by the 2dF Galaxy Redshift Survey for L * early-type galaxies in the local universe.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".