UCAC4 390-032677 , the SIMBAD biblio

UCAC4 390-032677 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST22:08:16

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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
2018A&A...618A..93C viz 16       D               1 87620 517 A Gaia DR2 view of the open cluster population in the Milky Way. CANTAT-GAUDIN T., JORDI C., VALLENARI A., et al.
2020A&A...633A..99C viz 16       D               1 257585 169 Clusters and mirages: cataloguing stellar aggregates in the Milky Way. CANTAT-GAUDIN T. and ANDERS F.
2020A&A...635A.155M viz 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.
2020A&A...640A...1C viz 16       D               1 235399 241 Painting a portrait of the Galactic disc with its stellar clusters. CANTAT-GAUDIN T., ANDERS F., CASTRO-GINARD A., et al.
2021A&A...647A..19T viz 17       D               1 24814 55 3D kinematics and age distribution of the open cluster population. TARRICQ Y., SOUBIRAN C., CASAMIQUELA L., et al.
2021MNRAS.503.3279S viz 17       D               1 104620 56 The GALAH survey: tracing the Galactic disc with open clusters. SPINA L., TING Y.-S., DE SILVA G.M., et al.
2022ApJ...929...29G viz 17       D               1 8982 ~ Detection of Gravitational Redshift in Open Cluster Nondegenerate Stars. GUTIERREZ C.M. and RAMOS-CHERNENKO N.
2023A&A...674A..34G viz 17       D               1 307215 85 Gaia Data Release 3 Stellar multiplicity, a teaser for the hidden treasure. GAIA COLLABORATION, ARENOU F., BABUSIAUX C., et al.
2023A&A...676A.129H viz 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 viz 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.

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