Table 2
Results of the MCMC modeling for the four runs described in Sect. 3.
| Parameter | Prior | SED run | HST run | ALMA run | SED no cavity | ||||
|---|---|---|---|---|---|---|---|---|---|
| Ls (L⊙) | [0.1, 3] | 0.41 |  |
0.51 |  |
0.58 |  |
0.54 |  |
| Ts (K) | [2000, 6000] | 4155 |  |
4496 |  |
4025 |  |
3091 |  |
| Rc (au) | [25, 150] | 87 |  |
105 |  |
52 |  |
86 |  |
| hc | [0.01, 0.4] | 0.24 |  |
0.18 |  |
0.05 |  |
0.21 |  |
| ψ | [0.01, 0.5] | 0.13 |  |
0.22 |  |
0.25 |  |
0.19 |  |
| i (º) | [65, 90] | 82.3 |  |
83.5 | 83.3 ± 1.1 | 88.1 |  |
83 |  |
| γ | [0.3, 3] | 0.81 |  |
0.89 |  |
0.32 |  |
0.93 |  |
| log(Mgas (M⊙)) | [−4, −1] | −2.57 |  |
−1.89 |  |
−2.1 |  |
−2.56 |  |
| log(1-fe) | [−4, 0] | −0.94 |  |
−0.97 |  |
−1.92 |  |
−1.07 |  |
| X | [0.01, 0.5] | 0.2 |  |
0.27 |  |
0.47 |  |
0.26 |  |
| log(amax (µm)) | [−2, 1] | 0.83 | 0.92 ± 0.22 | 0.93 | 0 88±0 17 | 1.1 |  |
1.0 |  |
| log(amin (µm)) | [−3, 0] | −0.37 |  |
−0.44 |  |
−0.62 |  |
−0.49 |  |
| Rcav (au) | [0, 100] | 55 |  |
42.8 |  |
80 |  |
– | |
| log(δcav) | [−4, 0] | −1.8 |  |
−1.76 |  |
−1.5 |  |
– | |
 |
46 | 3270 | 1109 | 88 | |||||
 |
25345 | 8842 | 40559 | 22595 | |||||
 |
3737 | 5742 | 839 | 9497 | |||||
| Av | 5.1 | 5 1 | 5.3 | 4.9 |
Notes. The values in bold are the best-fitting model in that particular run, the values on the right are the median value of the distribution with the 16th and 84th percentiles of the posterior distribution as error. The evaluation (χ2 value) of the best-fitting model in each run is given for each observable, with the evaluations that are not used in the optimization in italic. Note that the Av is not sampled like the other parameters, but determined after each run by reducing 
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