A submillimetre-bright <i>z</i> ∼ 3 overdensity behind a <i>z</i> ∼ 1 supercluster revealed by SCUBA-2 and <i>Herschel</i>
Bibliographic record
Abstract
Abstract We present a wide-field (30 arcmin diameter) 850 μm Submillimetre Common-User Bolometer Array-2 map of the spectacular three-component merging supercluster, RCS 231953+00, at z = 0.9. The brightest submillimetre galaxy (SMG) in the field (S850 ≈ 12 mJy) is within 30 arcsec of one of the cluster cores (RCS 2319–C), and is likely to be a more distant, lensed galaxy. Interestingly, the wider field around RCS 2319–C reveals a local overdensity of SMGs, exceeding the average source density by a factor of 4.5, with a <1 per cent chance of being found in a random field. Utilizing Herschel observations from the Spectral and Photometric Imaging Receiver, we find that three of these SMGs have similar submillimetre colours. We fit their observed 250–850 μm spectral energy distributions to estimate their redshift, yielding 2.5 < z < 3.5, and calculate prodigious star formation rates ranging from 500 to 2500 M⊙ yr−1. We speculate that these galaxies are either lensed SMGs, or signpost a physical structure at z ≈ 3: a ‘protocluster’ inhabited by young galaxies in a rapid phase of growth, destined to form the core of a massive galaxy cluster by z = 0.
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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 | 0.001 | 0.000 |
| 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) | 0.002 | 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".