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| GES J07202989-0021143 , the SIMBAD biblio (5 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST01:50:41 |
Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
| Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
|---|---|---|---|---|---|---|---|---|---|
2020MNRAS.491.2280S 
|
16 | D | 1 | 48782 | ~ | Application of convolutional neural networks for stellar spectral classification. | SHARMA K., KEMBHAVI A., KEMBHAVI A., et al. | ||
|
2020A&A...635A.155M
|
16 | D | 1 | 812 | ~ | The Gaia-ESO Survey: detection and characterisation of single-line spectroscopic binaries. | MERLE T., VAN DER SWAELMEN M., VAN ECK S., et al. | ||
|
2021A&A...651A..79B
|
17 | D | 1 | 57451 | 21 | TOPoS. VI. The metal-weak tail of the metallicity distribution functions of the Milky Way and the Gaia-Sausage-Enceladus structure. | BONIFACIO P., MONACO L., SALVADORI S., et al. | ||
|
2023A&A...676A.129H
|
17 | D | 1 | 114943 | ~ | The Gaia-ESO Survey: Homogenisation of stellar parameters and elemental abundances. | HOURIHANE A., FRANCOIS P., WORLEY C.C., et al. | ||
|
2024A&A...692A.228C
|
18 | D | 1 | 49864 | ~ | Inferring stellar parameters and their uncertainties from high-resolution spectroscopy using invertible neural networks. | CANDEBAT N., SACCO G.G., MAGRINI L., et al. |
