Table 4
Best matching LDD and Gaussian hotspot distribution model.
| All channels | |
| Parameter | Value |
|
|
|
| FWHM dist1 | 17 mas |
| I1 | 3% |
| Filling factordist1 | 0.5 |
| FWHM dist2 | 2 mas |
| I2 | 10% |
| Filling factordist21 | 0.4 |
| Parameter | 1.61 μm | 1.66 μm | 1.71 μm |
|
|
|||
| θLDD (mas) | 37.89 ± 0.10 | 38.81 ± 0.10 | 38.24 ± 0.31 |
| δLDD (from Table 3) | 0.52 ± 0.02 | 0.66 ± 0.01 | 0.46 ± 0.02 |
Mean  |
82.1 | 109.3 | 113.8 |
| Std. deviation |
35.2 | 47.0 | 41.0 |
| Min |
28.1 | 37.6 | 43.8 |
|
622 | 1611 | 1447 |
| F | 2818 | 5859 | 4495 |
Notes. The statistic is computed over 1000 instances of the model and takes into account both the squared visibilities and the closure phases (contrary to the analytical models tested earlier). The corresponds to the value of the best fitted LDD model over the entire dataset associated to a spectral channel.
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