Planck 2015 results
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Table 20

Priors on the Poisson amplitudes given a number of different point-source masks and models.

Power spectrum

Mask Type Model 100 × 100 143 × 143 143 × 217 217 × 217
Baseline 2013 ............... Radio Power-law 84 ± 3 29 ± 1 16 ± 1 9 ± 1
Dusty Bethermin 4 ± 1 13 ± 3 41 ± 8 129 ± 25
Baseline 2015 ............... Radio Power-law 148 ± 7 40 ± 1 16 ± 1 10 ± 1
Tucci 139 40 16 11
Dusty Bethermin 4 ± 1 13 ± 3 41 ± 8 129 ± 25
Plik 260 ± 28 44 ± 8 39 ± 10 97 ± 11
Mspec 317 ± 46 22 ± 13 12 ± 7 21 ± 9
Hillipop 2015 ............... Radio Power-law 150 ± 7 47 ± 2 18 ± 1 11 ± 1
Tucci 141 47 18 12
Dusty Bethermin 4 ± 1 13 ± 3 41 ± 8 129 ± 25
Hillipop 372 ± 38 58 ± 21 53 ± 24 105 ± 18

Notes. Entries are at = 3000 in μK2 and are given at the effective band centre for each component. Uncertainties on the “power-law” model are statistical errors propagated from uncertainties in the Mocanu et al. (2013) source-count data. Priors on the dust component have formally been calculated only for the Hillipop mask, but they are repeated for the other masks, for which they are accurate to better than 1%. The results from different codes, to which these predictions should be compared, use TT> 50 data with a prior of τ = 0.07 ± 0.02. For Mspec about 90% of the dusty contribution is cleaned out at the map level, hence the measured values above are in some cases far less than prior value.

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