Table B.1
Model evaluation metrics for the model tuning process based on the SP-TW dataset.
| ID | Model description | ln E | ln Bm0 | Ψ | ∆ m | #FP | ![]() |
|---|---|---|---|---|---|---|---|
| Initial opacity search | |||||||
| 0 | Baseline (CO, CO2, CH4, H2O) | 642.02 | — | −1306.02 | 55.00 | 10 | 3.26 |
| 1 | Removed CO | 634.52 | −7.50 | −1304.88 | 56.14 | 9 | 3.26 |
| 2 | Removed H2O | 515.48 | −126.54 | −1063.76 | 297.26 | 9 | 6.00 |
| 3 | Removed CH4 | 642.73 | 0.71 | −1309.45 | 51.57 | 9 | 3.21 |
| 4 | Removed CO2 | 193.96 | −448.06 | −423.07 | 937.95 | 9 | 13.28 |
| 5 | Added SO2 | 647.65 | 5.63 | −1323.51 | 37.51 | 11 | 3.06 |
| 6 | Added H2S | 661.40 | 19.38 | −1350.08 | 10.95 | 11 | 2.75 |
| 7 | Added HCN | 647.20 | 5.18 | −1322.10 | 38.92 | 11 | 3.08 |
| 8 | Added C2H2 | 648.95 | 6.92 | −1321.43 | 39.60 | 11 | 3.09 |
| 9 | Added C2H4 | 640.31 | −1.72 | −1303.85 | 57.17 | 11 | 3.29 |
| 10 | Added CH3 | 641.84 | −0.18 | −1303.80 | 57.22 | 11 | 3.29 |
| 11 | Added NH3 | 641.02 | −1.00 | −1303.70 | 57.32 | 11 | 3.29 |
| Combinations of {C2H2, H2S, HCN, SO2} | |||||||
| 12 | Added {H2S,HCN} | 663.67 | 21.65 | −1348.69 | 12.33 | 12 | 2.77 |
| 13 | Added {H2S,SO2} | 662.52 | 20.49 | −1353.36 | 7.66 | 12 | 2.72 |
| 14 | Added {HCN,SO2} | 651.16 | 9.14 | −1329.87 | 31.15 | 12 | 2.99 |
| 15 | Added {C2H2, SO2} | 656.27 | 14.24 | −1345.07 | 15.95 | 12 | 2.81 |
| 16 | Added {C2H2, HCN} | 649.54 | 7.52 | −1327.72 | 33.30 | 12 | 3.02 |
| 17 | Added {C2H2,H2S} | 663.65 | 21.63 | −1354.81 | 6.21 | 12 | 2.70 |
| 18 | Added {H2S,SO2,HCN} | 664.08 | 22.06 | −1351.26 | 9.76 | 13 | 2.74 |
| 19 | Added {C2H2,HCN,SO2} | 657.63 | 15.60 | −1344.19 | 16.83 | 13 | 2.83 |
| 20 | Added {C2H2,H2S,SO2} | 666.06 | 24.03 | −1361.02 | — | 13 | 2.63 |
| 21 | Added {C2H2,H2S,HCN} | 664.01 | 21.99 | −1352.96 | 8.06 | 13 | 2.72 |
| 22 | Added {C2H2, H2S, HCN, SO2} | 665.88 | 23.85 | −1358.32 | 2.70 | 14 | 2.66 |
Notes. The columns show the ID and corresponding molecular inventory of the forward models used for model tuning. The Bayesian evidence (ln E) is used to calculate the Bayes factor (ln Bm0) in reference to the baseline model (M0). The cAIC (Ψ) is used to calculate the relative metric ∆m = Ψmin - Ψm (where Ψmin corresponds to M20). The last two columns indicate the number of free parameters in the model, as well as the reduced χ-square metric (
) of the median model.
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