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| Box | Runs | Wins | 2nds | 3rds | Win % |
|---|---|---|---|---|---|
| 1 | 0 | 0 | 0 | 0 | 0% |
| 2 | 2 | 1 | 0 | 0 | 50% |
| 3 | 0 | 0 | 0 | 0 | 0% |
| 4 | 0 | 0 | 0 | 0 | 0% |
| 5 | 0 | 0 | 0 | 0 | 0% |
| 6 | 0 | 0 | 0 | 0 | 0% |
| 7 | 0 | 0 | 0 | 0 | 0% |
| 8 | 1 | 1 | 0 | 0 | 100% |
 |
Fig. #8201;3 Top panel: the distribution of S20/S3.6 in the general source population, in the sample of HzRG by Seymour et #160;al. (2007), and in our IFRS sample. The IFRS clearly occupy a different regime than the general population, and tend to overlap more with the HzRG. Bottom panel: the histogram of the IFRS S20/S3.6 ratios as in the upper panel, shifted to the right by log(5) #160;= #160;0.7. This takes into account that Norris et #160;al. (2010) found no IR counterparts for IFRS in a stacking analysis with a 5 times higher sensitivity. On average the IFRS then have a S20/S3.6 which is about two times higher than that of the HzRG. |
| Open with DEXTER | |
| In the text | |
