Nurturing Lyman break galaxies: observed link between environment and spectroscopic features
Bibliographic record
Abstract
We examine the effects of magnitude, colour and Ly alpha equivalent width (EW) on the spatial distribution of z similar to 3 Lyman break galaxies (LBGs) and report significant differences in the two-point autocorrelation functions. The results are obtained using samples of similar to 10 000-55 000 LBGs from the Canada-France-Hawaii Telescope Legacy Survey Deep Fields. We find that magnitude has a larger effect on the autocorrelation function amplitude on small scales (less than or similar to 1 h(70)(-1) Mpc, the one-halo term) and that colour is more influential on large scales (greater than or similar to 1 h(70)(-1) Mpc, the two-halo term). We find the most significant differences between autocorrelation functions for LBGs with dominant net Ly alpha EW in absorption (aLBGs) and dominant net Ly alpha EW in emission (eLBGs) determined from greater than or similar to 95 per cent pure samples of each population using a photometric technique calibrated from similar to 1000 spectra. The aLBG autocorrelation function has a higher two-halo amplitude than the full LBG sample and has a one-halo term departure from a power-law fit near similar to 1 h(70)(-1) Mpc, corresponding to the virial radii of M-DM similar to 10(13) M-circle dot dark matter haloes. In contrast, the eLBG autocorrelation function has a one-halo term departure at similar to 0.12 h(70)(-1) Mpc, suggesting parent haloes of M-DM similar to 10(11) M-circle dot and a two-halo term that exhibits a curious 'hump' on intermediate scales that we localize to the faintest, bluest members. The aLBG-eLBG cross-correlation function exhibits an anticorrelation component that reinforces different physical locations for a significant fraction of aLBGs and eLBGs. We introduce a 'shell' model for the eLBG autocorrelation function and find that the form can be reproduced assuming that a significant fraction of eLBGs have a shell-like spatial distribution. Based on the analysis of all LBG subsamples, and considering the natural asymmetric distribution of LBGs on the colour-magnitude diagram, we conclude that aLBGs are more likely to reside in group-like environments hosting multiple luminous (i(') < 26.4) LBGs whereas eLBGs are more likely to be found on group outskirts and in the field. Because Ly alpha is a tracer of several intrinsic properties, including morphology, the results presented here imply that the mechanisms behind the morphology-density relation at low redshift are in place at z similar to 3 and that Ly alpha EW may be a key environment diagnostic. Finally, our results show that the LBG autocorrelation function amplitude is lower than the true average as a result of the spatial anticorrelation of the spectral types. This result holds broad consequences for all autocorrelation functions measured for any population that contains members residing in different environments as the average amplitude, and hence the inferred average dark matter mass, will always be underestimated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| 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 | 0.001 |
| 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".