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Table 2.

Best-fit parameters and uncertainties for the ΣSFRCII relation derived from the different fitting methods described in Sect. 3.2.

Fitting Method log(C0)a β σi
Likelihood Model + L-BFGS-B integration

Original Fit 0.30 0.87 0.19
Source Bootstrapping 0 . 30 0.04 + 0.05 $ 0.30^{+0.05}_{-0.04} $ 0 . 86 0.11 + 0.15 $ 0.86^{+0.15}_{-0.11} $ 0 . 19 0.03 + 0.03 $ 0.19^{+0.03}_{-0.03} $
Noise Sampling 0 . 33 0.02 + 0.02 $ 0.33^{+0.02}_{-0.02} $ 0 . 80 0.06 + 0.05 $ 0.80^{+0.05}_{-0.06} $ 0 . 20 0.02 + 0.02 $ 0.20^{+0.02}_{-0.02} $
Hybrid Resampling 0 . 34 0.04 + 0.05 $ 0.34^{+0.05}_{-0.04} $ 0 . 80 0.13 + 0.15 $ 0.80^{+0.15}_{-0.13} $ 0 . 19 0.03 + 0.04 $ 0.19^{+0.04}_{-0.03} $

Likelihood Model + MCMC

Original Likelihood 0.30 0.87 0.19
Normalised Likelihood 0 . 30 0.03 + 0.03 $ 0.30^{+0.03}_{-0.03} $ 0 . 87 0.09 + 0.09 $ 0.87^{+0.09}_{-0.09} $ 0 . 20 0.02 + 0.02 $ 0.20^{+0.02}_{-0.02} $

Linmix

All Pixels 0.37 0.92 0.18
Region Averages (B23) 0 . 22 0.04 + 0.04 $ 0.22^{+0.04}_{-0.04} $ 1 . 02 0.12 + 0.12 $ 1.02^{+0.12}_{-0.12} $ 0 . 06 0.08 + 0.08 $ 0.06^{+0.08}_{-0.08} $

Notes. Parameter uncertainties, when given, were computed using the 16th, 50th, and 84th percentiles of the associated distributions.

(a)

We present the log(C0) using a normalisation factor (g0 = 107.5), since the reported uncertainties have been derived using this g0 cannot easily be extrapolated back to the un-normalised space. However, a subtraction of 7.5 from log(C0) allows one to obtain the actual relation intercept.

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