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Table 2.

Constraints on H0 and MG hyperparameters.

Catalog spec-z photo-z

H0 Ξ0 n H0 Ξ0 n
MG0.6 70 . 11 0.61 + 0.61 $ 70.11^{+0.61}_{-0.61} $ (0.9%) 71 . 9 3.7 + 3.8 $ 71.9^{+3.8}_{-3.7} $ (5.2%)
0 . 56 0.13 + 0.11 $ 0.56^{+0.11}_{-0.13} $ (22%) 2 . 42 0.68 + 0.79 $ 2.42^{+0.79}_{-0.68} $ (30%) 0 . 60 0.14 + 0.15 $ 0.60^{+0.15}_{-0.14} $ (24%) 1 . 46 0.34 + 0.81 $ 1.46^{+0.81}_{-0.34} $ (39%)
69 . 3 1.4 + 1.2 $ 69.3^{+1.2}_{-1.4} $ (1.9%) 0 . 54 0.14 + 0.10 $ 0.54^{+0.10}_{-0.14} $ (22%) 2 . 35 0.80 + 1.08 $ 2.35^{+1.08}_{-0.80} $ (40%) 80 13 + 18 $ 80^{+18}_{-13} $ (19%) 0 . 70 0.17 + 0.25 $ 0.70^{+0.25}_{-0.17} $ (30%) 2 . 9 1.3 + 1.4 $ 2.9^{+1.4}_{-1.3} $ (47%)

GR 70 . 45 0.56 + 0.59 $ 70.45^{+0.59}_{-0.56} $ (0.82%) 71 . 4 4.3 + 4.4 $ 71.4^{+4.4}_{-4.3} $ (6.1%)
0 . 99 0.08 + 0.08 $ 0.99^{+0.08}_{-0.08} $ (8%) 2 . 5 1.1 + 1.6 $ 2.5^{+1.6}_{-1.1} $ (54%) 1 . 00 0.10 + 0.12 $ 1.00^{+0.12}_{-0.10} $ (11%) 2 . 6 1.2 + 1.6 $ 2.6^{+1.6}_{-1.2} $ (54%)
70 . 7 2.1 + 2.4 $ 70.7^{+2.4}_{-2.1} $ (3.2%) 1 . 00 0.07 + 0.08 $ 1.00^{+0.08}_{-0.07} $ (7.5%) 2 . 8 1.3 + 1.5 $ 2.8^{+1.5}_{-1.3} $ (50%) 82 15 + 30 $ 82^{+30}_{-15} $ (27%) 1 . 27 0.36 + 0.67 $ 1.27^{+0.67}_{-0.36} $ (41%) 3.1 ± 1.4 (45%)

MG1.8 70 . 4 0.5 + 0.5 $ 70.4^{+0.5}_{-0.5} $ (0.72%) 72 . 3 4.6 + 4.9 $ 72.3^{+4.9}_{-4.6} $ (6.5%)
1 . 79 0.19 + 0.36 $ 1.79^{+0.36}_{-0.19} $ (15%) 2 . 37 0.82 + 0.99 $ 2.37^{+0.99}_{-0.82} $ (38%) 1 . 73 0.23 + 0.38 $ 1.73^{+0.38}_{-0.23} $ (18%) 2 . 5 1.1 + 1.5 $ 2.5^{+1.5}_{-1.1} $ (52%)
73 . 0 3.5 + 4.1 $ 73.0^{+4.1}_{-3.5} $ (5.2%) 1 . 79 0.15 + 0.20 $ 1.79^{+0.20}_{-0.15} $ (10%) 3 . 5 1.4 + 1.1 $ 3.5^{+1.1}_{-1.4} $ (36%) 70 13 + 21 $ 70^{+21}_{-13} $ (24%) 1 . 78 0.47 + 0.76 $ 1.78^{+0.76}_{-0.47} $ (35%) 3 . 5 1.5 + 1.1 $ 3.5^{+1.1}_{-1.5} $ (37%)

Notes. The central values are the median of the 1D marginalized distributions. Errors are reported as the 68% C.L. around the median. The percentage error shown is the mean between the upper and lower percentage errors. For each catalog: the first raw shows results when inferring only H0 and population hyperparameters, keeping MG hyperparameters fixed; the second raw infers MG and population hyperparameters only, keeping H0 fixed; the last row infers all hyperparameters.

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