Table 21
Summary of our fNL analysis of foreground residuals.
| fNL | ||||||
|
|
||||||
| SMICA | SMICA | NILC | NILC | SMICA | NILC | |
| Shape | clean | residual | clean | residual | residual − clean | residual − clean |
|
|
||||||
| Modal | ||||||
| Local ....... | 7.7 ± 5.9 | 7.8 ± 5.9 | 7.7 ± 5.8 | 7.4 ± 6.0 | 0.04 ± 1.0 | −0.27 ± 1.1 |
| Equilateral ....... | −0.5 ± 77 | −8.7 ± 79 | −0.6 ± 78 | −9.0 ± 79 | −8.3 ± 8.2 | −8.4 ± 8.3 |
| Orthogonal ....... | −23 ± 41 | −25 ± 41 | −24 ± 40 | −26 ± 41 | −2.0 ± 4.7 | −2.4 ± 4.8 |
| ISW-lensing ....... | 1.00 ± 0.38 | 1.01 ± 0.38 | 1.01 ± 0.38 | 1.02 ± 0.38 | 0.006 ± 0.052 | 0.013 ± 0.052 |
Notes. For realistic lensed FFP6 simulations processed through the SMICA and NILC component separation pipelines, we report: the average fNL with and without foreground residuals added to the maps, the fNL standard deviation in the same two cases, and the standard deviation of the map-by-map fNL difference between the “clean” and “contaminated” sample. The impact of foreground residuals is clearly subdominant when compared to statistical error bars for all shapes. Results reported below have been obtained using the modal estimator.
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