Table 10.
Peak statistics, as defined in Fergusson et al. (2015), for the different feature models, showing the Raw peak maximum significance (for the given Modal 2 survey domain), the corrected significance of this Single maximum peak after accounting for the parameter survey size (the look-elsewhere effect) and the Multi-peak statistic which integrates across the adjusted significance of all peaks to determine consistency with Gaussianity.
| SMICA |
SEVEM |
NILC |
Commander |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Raw | Single | Multi | Raw | Single | Multi | Raw | Single | Multi | Raw | Single | Multi | |
| Features constant T only …… | 2.4 | 0.2 | 0.2 | 2.6 | 0.5 | 0.5 | 2.4 | 0.2 | 0.3 | 2.6 | 0.4 | 0.5 |
| Features constant T+E…… | 2.5 | 0.3 | 0.3 | 2.7 | 0.6 | 0.7 | 2.8 | 0.8 | 1.2 | 2.6 | 0.4 | 0.5 |
| Features equilateral T only…… | 2.5 | 0.3 | 0.4 | 2.5 | 0.3 | 0.5 | 2.6 | 0.4 | 0.6 | 2.6 | 0.4 | 0.6 |
| Features equilateral T+E…… | 2.5 | 0.3 | 0.3 | 2.5 | 0.3 | 0.3 | 3.0 | 1.1 | 1.1 | 2.4 | 0.2 | 0.2 |
| Features flattened T only | 2.7 | 0.6 | 0.8 | 2.8 | 0.7 | 1.0 | 2.6 | 0.5 | 0.6 | 2.9 | 0.9 | 0.9 |
| Features flattened T+E …… | 2.4 | 0.2 | 0.4 | 2.7 | 0.6 | 0.9 | 2.7 | 0.6 | 0.7 | 2.5 | 0.3 | 0.5 |
| K2cos features T only …… | 2.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 2.1 | 0.0 | 0.0 |
| K2cos features T+E …… | 1.7 | 0.0 | 0.0 | 2.1 | 0.0 | 0.0 | 1.6 | 0.0 | 0.0 | 1.5 | 0.0 | 0.0 |
| Ksin features T only …… | 2.8 | 0.7 | 0.7 | 3.0 | 1.0 | 1.0 | 2.9 | 0.8 | 0.8 | 2.8 | 0.8 | 0.8 |
| Ksin features T+E …… | 2.3 | 0.1 | 0.1 | 2.6 | 0.4 | 0.4 | 2.7 | 0.5 | 0.6 | 2.3 | 0.1 | 0.1 |
Notes. This table does not include the results of the high-frequency resonance-model estimator, whose significance was assessed independently and presented in Sect. 5.2.5.
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