HerMES: Far infrared properties of known AGN in the HerMES fields
Bibliographic record
Abstract
Nuclear and starburst activity are known to often occur concomitantly. <i>Herschel<i/>-SPIRE provides sampling of the far-infrared (FIR) spectral energy distributions (SEDs) of type 1 and type 2 AGN, allowing for the separation between the hot dust (torus) and cold dust (starburst) emission. We study large samples of spectroscopically confirmed type 1 and type 2 AGN lying within the <i>Herschel<i/> Multi-tiered Extragalactic Survey (HerMES) fields observed during the science demonstration phase, aiming to understand their FIR colour distributions and constrain their starburst contributions. We find that one third of the spectroscopically confirmed AGN in the HerMES fields have 5<i>σ<i/> detections at 250 <i>μ<i/>m, in agreement with previous (sub)mm AGN studies. Their combined <i>Spitzer<i/>-MIPS and <i>Herschel<i/>-SPIRE colours (specifically <i>S<i/><sub>250<sub/>/<i>S<i/><sub>70<sub/> vs <i>S<i/><sub>70<sub/>/<i>S<i/><sub>24<sub/>) quite clearly separate them from the non-AGN, star forming galaxy population, as their 24 <i>μ<i/>m flux is dominated by the hot torus emission. However, their SPIRE colours alone do not differ from those of non-AGN galaxies. SED fitting shows that all those AGN need a starburst component to fully account for their FIR emission. For objects at <i>z<i/> > 2 we find a correlation between the infrared luminosity attributed to the starburst component, <i>L<i/><sub>SB<sub/>, and the AGN accretion luminosity, <i>L<i/><sub>acc<sub/>, with <i>L<i/><sub>SB<sub/> <i>L<i/><sub>acc<sub/><sup>0.35<sup/>. Type 2 AGN detected at 250 <i>μ<i/>m show on average higher <i>L<i/><sub>SB<sub/> than type 1 objects but their number is still too low to establish whether this trend indicates stronger star formation activity.
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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 | 0.000 |
| 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) | 0.000 | 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".