The Canada‐UK Deep Submillimeter Survey. VI. The 3 Hour Field
Bibliographic record
Abstract
We present the complete submillimeter data for the Canada-UK Deep Submillimeter Survey (CUDSS) 3 h field. The observations were taken with the Submillimeter Common-User Bolometric Array (SCUBA) on the James Clerk Maxwell Telescope (JCMT) on Mauna Kea. The 3 h field is one of two main fields in our survey and covers 60 arcmin 2 to a 3 σ depth of ~3 mJy. In this field we have detected 27 sources above 3 σ and 15 above 3.5 σ. We assume that the differential source counts follow the form N ( S ) ∝ S -α and measure α = 3.3 , in good agreement with previous studies. We estimate that SCUBA sources brighter than 3 mJy are responsible for ~13% of the extragalactic background at 850 μm (after correcting for flux boosting, 20% with no correction), which is in general agreement with previous estimates made by other groups. Using preliminary Infrared Space Observatory 15 μm maps and VLA 1.4 GHz data, we have identified counterparts for 10 objects and have detected two sources at 450 μm. With this information we estimate a lower limit on the median redshift of the sample of z > 1.4 with 6%-10% lying at z < 1. We have attempted to measure the angular clustering of S 850 μm > 3 mJy sources using the source catalogs from the CUDSS two main fields, the 3 h and 14 h fields, and find ω(θ) = 4.4 ± 2.9θ -0.8 , or a 3 σ upper limit on the clustering amplitude of less than 8.7 arcsec 0.8 . This is consistent with clustering at least as strong as that seen for the Lyman break galaxy population and the extremely red objects. Since SCUBA sources are selected over a broader range in redshifts than these two populations, the strength of the true spatial clustering is expected to be correspondingly stronger.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".