Table 2
Overview of the best-fit dust-to-star flux ratios derived from different modeling and fitting approaches for the MATISSE data.
| Wavelength (μm) | f1 (%) | f2 (%) | Δf2 (%) | fRing (%) | ΔfRing (%) | fGaussian (%) | ΔfGaussian (%) | fNN (%) | F*(Jy) |
|---|---|---|---|---|---|---|---|---|---|
| 3.06 | 1.28 | 1.84 | 2.16 | 2.42 | 0.91 | 2.02 | 0.60 | 0.90 | 173.93 |
| 3.18 | 1.30 | 1.56 | 2.28 | 2.16 | 1.05 | 1.84 | 0.77 | 0.90 | 162.93 |
| 3.30 | 1.28 | 1.42 | 2.31 | 1.81 | 0.80 | 1.79 | 0.97 | 0.87 | 152.87 |
| 3.42 | 1.24 | 1.12 | 2.40 | 1.41 | 0.88 | 1.34 | 0.76 | 0.85 | 143.78 |
| 3.54 | 1.20 | 0.70 | 2.62 | 1.02 | 0.75 | 0.81 | 0.62 | 0.83 | 135.40 |
| 3.65 | 1.14 | 0.20 | 2.77 | 0.36 | 0.80 | 0.22 | 0.72 | 0.80 | 127.73 |
| 3.78 | 1.07 | 0 | 2.61 | 0 | 0.68 | 0 | 0.48 | 0.78 | 120.67 |
| 3.89 | 1.02 | 0 | 2.54 | 0 | 0.60 | 0 | 0.42 | 0.75 | 114.20 |
| 4.55 | 0.78 | 0 | 3.23 | – | – | – | – | 0.64 | 86.31 |
| 4.68 | 0.74 | 0 | 2.72 | – | – | – | – | 0.62 | 82.35 |
| 4.80 | 0.71 | 0 | 2.80 | – | – | – | – | 0.61 | 78.65 |
| 4.91 | 0.68 | 0 | 2.74 | – | – | – | – | 0.59 | 75.20 |
Notes. The best-fit dust-to-star flux ratios are denoted according to the applied fitting approach: One-Step (f1), Two-Step (f2), Bootstrapping (fRing, fGaussian), and neural networks (fNN). “−” indicates that the bootstrapping technique was not applied at these wavelengths. The last column indicates the stellar flux F*.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.