Table 4.
Fisher-matrix-based forecasted 68.3% CL marginalised uncertainties using Euclid in combination with the CMB.
| Euclid | Euclid | Euclid | |
|---|---|---|---|
| + Planck-like | + SO-like | + CMB-S4 | |
| + Planck low-ℓ | + Planck low-ℓ | ||
| Pessimistic setting | |||
| Alin | 18% | 14% | 12% |
| ωlin | 2.4% | 1.2% | 1.0% |
| ϕlin | 0.066 | 0.046 | 0.043 |
| Alog | 17% | 11% | 7.9% |
| ωlog | 1.9% | 1.6% | 1.5% |
| ϕlog | 0.048 | 0.036 | 0.033 |
| Optimistic setting | |||
| Alin | 16% | 13% | 12% |
| ωlin | 1.0% | 0.92% | 0.85% |
| ϕlin | 0.042 | 0.038 | 0.037 |
| Alog | 15% | 10% | 7.6% |
| ωlog | 1.1% | 1.0% | 0.98% |
| ϕlog | 0.037 | 0.027 | 0.024 |
Notes. We show results for LIN and LOG models in the pessimistic and optimistic settings in the case, relative to their corresponding fiducial values (𝒜X = 0.01, ωX = 10), using Euclid (GCsp+WL+GCph+XC) in combination with the CMB.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.