Cold Dust in (Some) High z Supernova Host Galaxies
Bibliographic record
Abstract
We present deep submillimetre photometry for 14 galaxies at z=0.5 that are hosts of type 1a supernovae, with the aim of examining the evolution of dust mass and extinction in normal galaxies. We combine these results with our previous observations of 17 z~0.5 SN1a hosts to look for any evolution in the dust content of normal galaxies between z=0 and z=0.5. The average observed frame 850micron flux of SN1a hosts in the full sample, excluding 2 bright individually detected objects, is 0.44 +/- 0.22 mJy. This flux level is consistent with there being little or no evolution in the dust content, or optical extinction, of normal galaxies from z=0 to z=0.5. One galaxy, the host of SN1996cf, is detected individually, and we also present a deep HST STIS image for this object. It appears to be an edge on disk system, similar to the submm bright host of SN1997ey. We thus examine the dust properties of these and one other individually detected object. 450-to-850 micron flux ratios and limits suggest that the dust in the two brightest submm sources, SN1996cf and SN1997ey, is cold, T ~20K, implying that they contain a substantial mass of dust ~10^9 Msun. The presence of two bright (F850 >7mJy) submm sources at z~0.5 in a sample of ostensibly normal galaxies is surprising, and has important implications. It supports the idea that a substantial part of the Cosmic Infrared Background (CIB) may be produced at z<1, while also suggesting that 'foreground' objects such as these may be a significant 'contaminant' in submm surveys. Finally, we examine the overall submm luminosity distribution at z=0.5 implied by our results, and conclude that either there is substantial evolution in the submm luminosity function from z=0 to 0.5, or our submm detected sources are somehow not representative of the bulk of galaxies at this redshift.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".