Table E.1.
Summary of our MCMC analysis assuming the ΛCDM model. We report individual results separately based on WL (KiDS-1000) and CMB (Planck 2018) data only as well as values inferred from the combined MCMC chain. We show the mean (best fit) values of the sampled (top) and derived (middle) parameters as well as the obtained prior, likelihood, and χ2 values (bottom).
| WL ΛCDM | CMB ΛCDM | WL + CMB ΛCDM | |
|---|---|---|---|
| Parameter | 68% limits | 68% limits | 68% limits |
| ωdm |
 |
0.1208(0.1200)±0.0014 | 0.1182(0.1188)±0.0012 |
| ωb | unconst(0.02455) | 0.02231(0.02236)±0.00015 | 0.02248(0.02253)±0.00013 |
| ln(1010As) |
 |
3.050(3.110)±0.017 | 3.039(3.069)±0.017 |
| h0 | unconst(0.6041) | 0.6700(0.6734)±0.0061 |
 |
| ns | unconst(0.9377) | 0.9622(0.9640)±0.0043 | 0.9678(0.9668)±0.0041 |
| τreio | − | 0.0566(0.0841)±0.0083 | 0.0540(0.0677)±0.0077 |
| AIA |
 |
− |
 |
| Aplanck | − | 1.0005(1.0031)±0.0025 | 1.0003(1.0005)±0.0025 |
| log10Mc | < 13.1(12.6) | − | > 13.8(15.0) |
| θej | < 5.45(2.23) | − | > 5.88(7.74) |
| ηδ | unconst(0.21) | − | unconst(0.13) |
| log10(Γ × Gyr) | − | − | − |
| log10(vk × s/km) | − | − | − |
| Ωm |
 |
0.3189 ± 0.0087 | 0.3043 ± 0.0070 |
| σ8 |
 |
0.8154 ± 0.0080 | 0.8029 ± 0.0073 |
| S8 |
 |
0.841 ± 0.017 | 0.809 ± 0.014 |
| ln(prior) | 5.99 |
 |
 |
| ln(likWL) |
 |
− |
 |
| ln(likCMB) | − |
 |
 |
 |
158.7 | 580.2 | 750.5 |
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