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Table 2:

Differential number counts at 24 $\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
0.040 0.035 0.044 17.5 1.0 1.1 1.3 0.2
0.050 0.044 0.056 21.4 1.0 1.1 1.4 0.2
0.064 0.056 0.071 28.2 1.2 1.5 1.8 0.2
0.081 0.071 0.090 36.2 1.5 1.9 2.4 0.2
0.102 0.090 0.114 52.6 1.3 1.9 2.9 0.6
0.130 0.114 0.145 64.1 1.0 1.7 3.1 3.4
0.164 0.145 0.184 78.7 1.1 2.2 3.8 3.4
0.208 0.184 0.233 89.8 1.3 2.8 4.5 3.4
0.264 0.233 0.295 96.5 1.5 3.3 5.1 3.4
0.335 0.295 0.374 112.0 0.8 1.8 4.8 37.2
0.424 0.374 0.474 103.7 0.6 1.7 4.5 46.1
0.538 0.474 0.601 91.9 0.6 1.5 4.0 53.6
0.681 0.601 0.762 81.2 0.6 1.5 3.6 53.6
0.863 0.762 0.965 72.8 0.7 1.6 3.3 53.6
1.094 0.965 1.223 65.3 0.8 1.6 3.1 53.6
1.387 1.223 1.550 60.8 0.9 1.7 3.0 53.6
1.758 1.550 1.965 56.7 1.0 1.8 2.9 53.6
2.228 1.965 2.490 55.4 1.2 2.1 3.0 53.6
2.823 2.490 3.156 54.0 1.5 2.3 3.2 53.6
3.578 3.156 4.000 55.9 1.8 2.7 3.5 53.6
5.807 4.000 7.615 54.8 1.5 2.9 3.6 53.6
11.055 7.615 14.496 46.9 2.3 3.6 4.1 53.6
21.045 14.496 27.595 36.4 3.3 4.4 4.6 53.6
40.063 27.595 52.531 43.4 5.9 7.7 7.9 53.6
76.265 52.531 100.000 47.7 9.9 12.0 12.2 53.6

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 (Engelbracht et al. 2007).


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