DETECTIONS OF FAINT Lyα EMITTERS AT<i>z</i>= 5.7: GALAXY BUILDING BLOCKS AND ENGINES OF REIONIZATION
Bibliographic record
Abstract
We report results of an unprecedentedly deep, blind search for Lyα emitters (LAEs) at z = 5.7 using the Inamori-Magellan Areal Camera & Spectrograph (IMACS), with the goal of identifying missing sources of reionization that could also be basic building blocks for today's L * galaxies. We describe how improvements in wide field imaging with the Baade telescope, upgrades to IMACS, and the accumulation of ∼20 hr of integration per field in excellent seeing led to the detection of single-emission-line sources as faint as F ≈ 2 × 10 −18 erg s −1 cm −2 , a sensitivity five times deeper than our first search. A reasonable correction for foreground interlopers implies a steep rise of approximately an order of magnitude in source density for a factor of four drop in flux, from F = 10 −17.0 erg s −1 cm −2 to F = 10 −17.6 (2.5 × 10 −18 ) erg s −1 cm −2 . At this flux the putative LAEs have reached a surface density of ∼1 arcmin −2 —a comoving volume density of 4 × 10 −3 Mpc −3 , several times the density of L* galaxies today. Such a population of faint LAEs would account for a significant fraction of the critical flux density required to complete reionization at this epoch, and would be good candidates for building blocks of stellar mass ∼10 8 –10 9 M ☉ for the young galaxies of this epoch.
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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 | 0.000 | 0.000 |
| 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) | 0.002 | 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".