Table 17
Comparison of component separation methods, using Gaussian FFP8 simulations.
Input map | Input map + foregrounds | Cleaned map | |||||||
Local | Equilateral | Orthogonal | Local | Equilateral | Orthogonal | Local | Equilateral | Orthogonal | |
|
|||||||||
SMICA | |||||||||
T .................. | 5.2 ± 5.8 | 29 ± 71 | −8 ± 34 | −107.0 ± 5.8 | −23 ± 71 | 27 ± 34 | 7.8 ± 5.8 | 38 ± 71 | −20 ± 34 |
E .................. | −39 ± 30 | −99 ± 133 | 59 ± 69 | −10 ± 30 | −154 ± 133 | −41 ± 69 | −56 ± 30 | −120 ± 133 | 65 ± 34 |
T+E .................. | 5.9 ± 5.1 | 14 ± 45 | −20 ± 22 | −118.0 ± 5.1 | −32 ± 45 | 8 ± 22 | 8.3 ± 5.2 | 14 ± 45 | −22 ± 22 |
SEVEM | |||||||||
T .................. | 5.6 ± 5.7 | 32 ± 69 | −8 ± 32 | −113.2 ± 5.7 | −8 ± 69 | 34 ± 32 | 12.7 ± 5.7 | 35 ± 69 | −25 ± 32 |
E .................. | −17 ± 41 | −149 ± 175 | 28 ± 95 | −14 ± 41 | −171 ± 175 | −44 ± 95 | −22 ± 41 | −120 ± 175 | 41 ± 95 |
T+E ............... | 7.7 ± 5.3 | 12 ± 49 | −37 ± 24 | −126.0 ± 5.3 | −29 ± 49 | −57 ± 25 | 13.0 ± 5.3 | 11 ± 49 | −41 ± 24 |
NILC | |||||||||
T .................. | 5.1 ± 5.7 | 32 ± 69 | −5 ± 31 | −102.0 ± 5.7 | −14 ± 69 | 32 ± 31 | 17.8 ± 5.7 | 85 ± 69 | −16 ± 31 |
E .................. | −52 ± 33 | −157 ± 156 | 72 ± 73 | −6 ± 33 | −155 ± 156 | −47 ± 73 | −76 ± 33 | −179 ± 156 | 113 ± 73 |
T+E ............... | 5.7 ± 5.0 | 7 ± 46 | −15 ± 21 | −117.0 ± 5.9 | −27 ± 46 | 12 ± 21 | 15.8 ± 5.0 | −20 ± 46 | −7 ± 21 |
Commander | |||||||||
T .................. | 0.5 ± 6.2 | −5 ± 73 | −14 ± 36 | −127.0 ± 6.2 | −25 ± 73 | −137 ± 36 | 25.6 ± 6.2 | 67 ± 73 | −17 ± 36 |
E .................. | −51 ± 38 | −64 ± 160 | 93 ± 86 | −10 ± 38 | −153 ± 160 | −45 ± 86 | −70 ± 38 | −78 ± 159 | 138 ± 86 |
T+E ............. | 1.6 ± 5.4 | −2 ± 48 | −21 ± 23 | −137.0 ± 5.4 | −29 ± 48 | 13 ± 23 | 20.4 ± 5.4 | 28 ± 48 | −11 ± 23 |
Notes. We firstly consider Gaussian, foreground-free simulations, with simulated noise for each frequency band, process them through each of the four foreground cleaning pipelines, and measure fNL for the three standard shapes (columns labelled with “Input map”). We then include foregrounds and repeat the measurement, before applying the cleaning, and including realistic noise levels for each method (columns labelled with “Input map + foregrounds”); this step is performed in order to get an idea of the level of contamination introduced by foregrounds, before cleaning. Finally, we apply the different component separation methods, and again estimate fNL from the final maps (columns labelled with “Cleaned map”). The discrepancies between fNL measured on the input map, and fNL extracted from the cleaned map, provide a figure of merit to assess how well foregrounds are subtracted by different methods. Results below have been obtained with the KSW estimator and the “cleaned map” results were also checked with the binned estimator.
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