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Table 3:

Differential number counts at 70 $\mu $m.

$\langle S\rangle$
$S_{\rm min}$ $S_{\rm max}$ d $N/{\rm d}S.S^{2.5}$ $\sigma_{\rm poisson}$ $\sigma_{\rm clustering}$ $\sigma_{\rm clus.+calib.}$ $\Omega_{\rm used}$
(in mJy) (in gal Jy1.5 sr-1) deg2
4.197 3.500 4.894 2073. 264. 309. 342. 0.2
5.868 4.894 6.843 2015. 249. 298. 330. 0.2
8.206 6.843 9.569 1690. 289. 332. 353. 0.2
11.474 9.569 13.380 2105. 123. 202. 250. 2.6
16.044 13.380 18.708 2351. 148. 228. 281. 2.6
22.434 18.708 26.159 1706. 153. 208. 240. 2.6
31.369 26.159 36.578 2557. 69. 124. 218. 38.1
43.862 36.578 51.146 2446. 73. 123. 211. 45.5
61.331 51.146 71.517 2359. 90. 141. 217. 45.5
85.758 71.517 100.000 2257. 112. 164. 228. 45.5
157.720 100.000 215.440 2354. 121. 198. 257. 45.5
339.800 215.440 464.160 2048. 200. 276. 311. 45.5
732.080 464.160 1000.000 2349. 381. 500. 526. 45.5

Notes.  $\sigma_{\rm clustering}$is the uncertainty taking into account clustering (see Sect. 4.5). $\sigma_{\rm clus.+calib.}$ takes into account both clustering and calibration (Gordon et al. 2007).


Source LaTeX | All tables | In the text

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