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Table A.1.

Numerical results for the best-fitting parameters to the HIMF using a Schechter model as in Eq. 3, for the results from the MIGHTEE, CHILES, and combined stacking.

Survey log 10 ( M / M ) $ \log_{10}(\tilde{M}/\mathrm{M}_{\odot}) $ α log 10 ( Φ / Mpc 3 ) $ \log_{10}(\tilde{\Phi}/\mathrm{Mpc}^{-3}) $ ΩHI × 10−4
Poly. model

MIGHTEE 10 . 13 0.09 + 0.08 $ 10.13^{+0.08}_{-0.09} $ 1 . 38 0.10 + 0.11 $ -1.38^{+0.11}_{-0.10} $ 2 . 24 0.13 + 0.13 $ -2.24^{+0.13}_{-0.13} $ 8 . 16 0.54 + 0.59 $ 8.16^{+0.59}_{-0.54} $
CHILES 10 . 01 0.15 + 0.16 $ 10.01^{+0.16}_{-0.15} $ 1 . 31 0.20 + 0.23 $ -1.31^{+0.23}_{-0.20} $ 2 . 18 0.25 + 0.21 $ -2.18^{+0.21}_{-0.25} $ 6 . 65 0.69 + 0.99 $ 6.65^{+0.99}_{-0.69} $
Combined 10 . 16 0.08 + 0.08 $ 10.16^{+0.08}_{-0.08} $ 1 . 48 0.09 + 0.10 $ -1.48^{+0.10}_{-0.09} $ 2 . 41 0.13 + 0.12 $ -2.41^{+0.12}_{-0.13} $ 7 . 02 0.52 + 0.59 $ 7.02^{+0.59}_{-0.52} $

Lin. model

MIGHTEE 10 . 01 0.09 + 0.10 $ 10.01^{+0.10}_{-0.09} $ 1 . 27 0.16 + 0.17 $ -1.27^{+0.17}_{-0.16} $ 1 . 96 0.16 + 0.14 $ -1.96^{+0.14}_{-0.16} $ 1 . 04 0.79 + 0.94 $ 1.04^{+0.94}_{-0.79} $
CHILES 9 . 95 0.16 + 0.17 $ 9.95^{+0.17}_{-0.16} $ 1 . 30 0.25 + 0.28 $ -1.30^{+0.28}_{-0.25} $ 2 . 01 0.27 + 0.22 $ -2.01^{+0.22}_{-0.27} $ 8 . 49 1.16 + 1.70 $ 8.49^{+1.70}_{-1.16} $
Combined 10 . 13 0.09 + 0.09 $ 10.13^{+0.09}_{-0.09} $ 1 . 56 0.13 + 0.14 $ -1.56^{+0.14}_{-0.13} $ 2 . 31 0.17 + 0.15 $ -2.31^{+0.15}_{-0.17} $ 9 . 98 0.18 + 0.11 $ 9.98^{+0.11}_{-0.18} $

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