Table 4
Quality indicators for Ωm-σ8 constraints with PMC ABC.
| Filter | Constraints | ΔΣ8 | FoM |
|
|
|||
| Gaussian | Likelihood | 0.046 | 20.7 |
| Gaussian | ABC, D1 | 0.043 | 16.3 |
| Gaussian | ABC, D2 | 0.059 | 11.7 |
| Starlet | Likelihood | 0.054 | 23.4 |
| Starlet | ABC, D1 | 0.050 | 15.5 |
| Starlet | ABC, D2 | 0.054 | 15.7 |
| Map tanh | ABC, D1 | 0.037 | 19.4 |
| Map tanh | ABC, D2 | 0.043 | 15.5 |
| MRLens | Likelihood | 0.046 | 16.2 |
| MRLens | ABC, D1 | 0.045 | 11.5 |
| MRLens | ABC, D2 | 0.045 | 12.5 |
Notes. The quantity ΔΣ8 stands for the width of the contour, while the FoM is related to the area. ABC is used with two different distances D1 and D2 respectively given by Eqs. (36)and (37). Here, we also put values from likelihood constraints using the same scales in this table for comparison. The kernel sizes for linear methods are defined in Table 2.
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