AKARI/IRC Deep Survey in the North Ecliptic Pole Region
Bibliographic record
Abstract
Abstract We have made a deep and wide imaging survey with all nine AKARI/IRC bands from 2 to 24$\mu$m within a half degree of the North Ecliptic Pole. The survey covered a circular area of 0.38deg$^2$ centered at RA $=$ 17h56m, Dec $=$ 66°37' where a deep optical multi-band survey has been conducted by Subaru/Suprime-Cam. The 5$\sigma$ sensitivity of the survey for point sources is 11.0, 48, 117, and 275$\mu$Jy at wavelengths 3, 7, 15, and 24$\mu$m, respectively. The survey is limited by sky noise at wavelengths from 7 to 24$\mu$m, and limited by source confusion from 2 to 4$\mu$m. We have also made a point source catalog at each band, consisting of more than 5000 sources with a 50% completeness limit of 93$\mu$Jy at 15$\mu$m. Our results are consistent with the pilot survey at faint fluxes and has better statistical significance at the bright fluxes. This is the first near- and mid-infrared sub-mJy extragalactic survey with contiguous wavelength coverage from 2 to 24$\mu$m and a large band-merged catalogue. It will provide powerful and unique diagnostics of obscured star-formation and AGN activities in the galaxies up to $z=2$.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".