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Table 2

UD and LDD best fit parameters with a PA and spectral channel selection of the squared visibilities in the first and second lobes (spatial frequencies below 50 arcsec-1).

PA range (°) and baselines Wavelength (μm) θUD (mas) θLDD (mas) δ LDD

114.48–117.95 1.609 34.54 ± 2.32 13.0 37.70 ± 0.42 0.55 ± 0.07 0.3
A1-B2 + A1-C2 1.661 35.62 ± 3.17 146.9 39.77 ± 0.30 0.66 ± 0.05 0.6
1.713 36.09 ± 1.47 39.4 39.15 ± 0.32 0.47 ± 0.05 0.7
109.01–112.34 1.609 35.56 ± 1.92 13.7 38.54 ± 0.37 0.51 ± 0.06 2.1
A1-B2 + A1-C2 1.661 36.38 ± 1.05 139.3 40.13 ± 0.34 0.65 ± 0.05 1.7
1.713 36.31 ± 1.68 38.9 39.34 ± 0.31 0.47 ± 0.05 1.2
103.35–107.10 1.609 36.43 ± 1.86 12.2 39.03 ± 0.47 0.48 ± 0.08 2.0
A1-B2 + A1-C2 1.661 42.13 ± 3.22 57.0 40.31 ± 0.48 0.64 ± 0.08 2.3
1.713 36.24 ± 2.81 39.4 39.32 ± 0.41 0.47 ± 0.06 1.3
9.07–9.85 1.609 35.45 ± 1.04 13.3 38.47 ± 0.87 0.50 ± 0.02 0.2
B2-C1 + A1-C2 1.661 36.03 ± 3.06 157.7 39.99 ± 0.25 0.65 ± 0.04 0.3
1.713 35.96 ± 1.67 40.3 39.11 ± 0.44 0.47 ± 0.06 0.2
14.40–15.14 1.609 35.14 ± 1.37 13.8 38.22 ± 1.11 0.52 ± 0.03 0.4
B2-C1 + A1-C2 1.661 35.23 ± 1.41 150.4 39.52 ± 0.34 0.67 ± 0.05 0.3
1.713 35.25 ± 1.95 32.2 38.49 ± 0.51 0.45 ± 0.07 0.3
17.90–18.60 1.609 35.08 ± 1.28 13.7 38.18 ± 1.06 0.52 ± 0.03 0.2
B2-C1 + A1-C2 1.661 35.00 ± 1.48 145.6 39.30 ± 0.32 0.67 ± 0.05 0.4
1.713 34.96 ± 1.51 27.9 38.07 ± 0.46 0.43 ± 0.06 0.5
21.50–22.16 1.609 35.02 ± 1.27 13.9 38.14 ± 1.04 0.53 ± 0.03 0.4
B2-C1 + A1-C2 1.661 35.45 ± 3.13 152.9 39.61 ± 0.28 0.67 ± 0.04 0.3
1.713 35.53 ± 1.74 34.9 38.59 ± 0.41 0.45 ± 0.06 0.2
24.54–25.15 1.609 34.71 ± 1.80 13.8 37.86 ± 1.45 0.54 ± 0.05 0.2
B2-C1 + A1-C2 1.661 34.41 ± 1.73 131.9 38.92 ± 0.32 0.67 ± 0.05 0.8
1.713 34.76 ± 2.97 24.7 37.72 ± 0.38 0.42 ± 0.05 0.8
27.69–28.24 1.609 34.99 ± 1.47 13.7 38.10 ± 0.24 0.53 ± 0.04 0.2
B2-C1 + A1-C2 1.661 35.68 ± 3.12 155.4 39.77 ± 0.28 0.66 ± 0.04 0.2
1.713 35.98 ± 1.52 39.6 38.95 ± 0.33 0.46 ± 0.05 0.2

Notes. The given PA is associated to the first lobe data. The standard deviations are derived by determining the values of the parameters that give . For the over-fitted cases (), we used to account for the higher contribution of the data noise this implies.

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