Table 17.
Fraction of simulations for which the differences between pairs of component-separation methods are above various levels of σ.
| Local |
Equilateral |
Orthogonal |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Data set |  |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
| T…… | 3.7 | 0.66 | 0.18 | 0.006 | 3.3 | 0.74 | 0.18 | 0.006 | 3.5 | 0.72 | 0.16 | 0.019 |
| E…… | 3.6 | 0.72 | 0.16 | 0.025 | 3.2 | 0.71 | 0.16 | 0.013 | 3.3 | 0.76 | 0.19 | 0.019 |
| T+E…… | 2.9 | 0.66 | 0.13 | 0 | 3.3 | 0.64 | 0.15 | 0.013 | 3.7 | 0.65 | 0.16 | 0.019 |
Notes. We use 160 FFP10 simulations (without foreground residuals) to compute the standard deviation σΔfNL of the measured fNL scatter, obtained by processing a given realization through the different component-separation pipelines. We report the largest measured significance ΔfNL/σΔfNL, across all method pairs and simulations. We then report the fraction of the total number of simulations for which at least one method pair returns a value ΔfNL larger than 1σΔfNL, 2σΔfNL, or 3σΔfNL. These numbers provide a benchmark against which to assess the significance of the scatter measured on the data (Table 16), taking into account the multiple comparisons.
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