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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".