Cl* Berkeley 32 RS 3201 , the SIMBAD biblio

Cl* Berkeley 32 RS 3201 , the SIMBAD biblio (22 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST14:05:19

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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
2001BASI...29...53R viz 14       D               1 469 12 A study of the old galactic star cluster Berkeley 32. RICHTLER T. and SAGAR R.
2006MNRAS.368..471D viz 15       D               1 439 15 The old anticentre open cluster Berkeley 32: membership and fundamental parameters. D'ORAZI V., BRAGAGLIA A., TOSI M., et al.
2007AJ....134.1298C viz 218 70 The infrared Ca II triplet as metallicity indicator. CARRERA R., GALLART C., PANCINO E., et al.
2009A&A...496..441R viz 15       D               2 162 7 Membership and lithium in the old, metal-poor open cluster Berkeley 32. RANDICH S., PACE G., PASTORI L., et al.
2015RAA....15.1197Z viz 16       D               1 1903 4 Candidate members of star clusters from LAMOST DR2. ZHANG B., CHEN X.-Y., LIU C., et al.
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...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.
2020A&A...640A.127Z viz 16       D               1 9108 33 Exploring open cluster properties with Gaia and LAMOST. ZHONG J., CHEN L., WU D., 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.
2021A&A...651A..84M viz 17       D               1 11678 30 The Gaia-ESO survey: Mixing processes in low-mass stars traced by lithium abundance in cluster and field stars. MAGRINI L., LAGARDE N., CHARBONNEL C., et al.
2021MNRAS.506..150B viz 17       D               1 588596 276 The GALAH+ survey: Third data release. BUDER S., SHARMA S., KOS J., et al.
2021A&A...655A..23M viz 17       D               1 311 15 Gaia-ESO survey: Lithium abundances in open cluster Red Clump stars. MAGRINI L., SMILJANIC R., FRANCIOSINI E., et al.
2022MNRAS.509.1664J viz 17       D               2 14101 25 The Gaia-ESO Survey: Membership probabilities for stars in 63 open and 7 globular clusters from 3D kinematics. JACKSON R.J., JEFFRIES R.D., WRIGHT N.J., 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.
2022A&A...666A.121R viz 17       D               1 38011 44 The Gaia-ESO Public Spectroscopic Survey: Implementation, data products, open cluster survey, science, and legacy,. RANDICH S., GILMORE G., MAGRINI L., et al.
2022A&A...668A...4F viz 17       D               1 4599 5 LAMOST meets Gaia: The Galactic open clusters. FU X., BRAGAGLIA A., LIU C., et al.
2023A&A...671A..61N viz 17       D               1 39409 4 The Gaia-ESO Survey: Preparing the ground for 4MOST and WEAVE galactic surveys Chemical evolution of lithium with machine learning. NEPAL S., GUIGLION G., DE JONG R.S., 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...687A.124B viz 18       D               1 829 ~ The Gaia-ESO Survey: No sign of multiple stellar populations in open clusters from their sodium and oxygen abundances. BRAGAGLIA A., D'ORAZI V., MAGRINI L., 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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