Galaxy transformation across the cosmic web: Evolution of stellar colours and star formation rates in filaments
Bibliographic record
Abstract
Context. The aim of this work is to provide evidence of the imprints left by large-scale structure on galaxy properties by selecting extensive samples of galaxies from different environments, while matching their intrinsic and local environmental characteristics. Aims. We investigated the effects of the large-scale structure on the g − r stellar colour and star formation rate (SFR) in galaxies with stellar mass M* > 1010 M⊙, within the redshift range 0.05 ≤ z ≤ 0.1, and selected from the main galaxy sample of the Sloan Digital Sky Survey Data Release 16. We used a spectroscopic catalogue available in the literature to define samples of galaxies located in field and filament environments. Methods. Galaxies located in the field tend to exhibit bluer g − r stellar colours and higher SFR than those in filaments. These differences persist even in samples of galaxies matched by mass and galaxy local overdensity, indicating that they are not produced by internal or local environmental processes. These differences cannot be attributed to variations in morphology between the two matched samples. There is also a variation in stellar colour and SFR with distance to the filaments (Dfila). The SFR of galaxies becomes statistically smaller than that of field galaxies for objects located at Dfila < 5 Mpc, while changes in stellar colour occur at smaller distances (Dfila < 1 Mpc). This could indicate that the typical filament width is about 2.5–5 Mpc. Results. The variations in colour and SFR between galaxy samples in the field and in filaments, with matched masses and local overdensities, indicate that large-scale environmental factors drive these transformations rather than local or internal galaxy properties. These transformations are not strong enough to produce changes in galaxy morphology. They could be explained by a cosmic web starvation process, in which galaxies moving from the field into filaments become detached from their gas supply, leading to a gradual decline in SFR and a subsequent reddening of their stellar populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".