NGC 6752 37 , the SIMBAD biblio

NGC 6752 37 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST10:40:29


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Title First 3 Authors
1970ApJ...159..325A 131 27 The globular clusters NGC 6752 and NGC 6362. ALCAINO G.
2005A&A...438..875Y 15       D               1 54 136 Abundances in giant stars of the globular cluster NGC 6752. YONG D., GRUNDAHL F., NISSEN P.E., et al.
2007A&A...464..927C viz 15       D               1 157 98 Na-O anticorrelation and horizontal branches. II. The Na-O anticorrelation in the globular cluster NGC 6752. CARRETTA E., BRAGAGLIA A., GRATTON R.G., et al.
2008ApJ...684.1159Y 90       D       C       3 38 132 Nitrogen abundances in giant stars of the globular cluster NGC 6752. YONG D., GRUNDAHL F., JOHNSON J.A., et al.
2012ApJ...750L..14C viz 15       D               1 141 49 Chemical tagging of three distinct populations of red giants in the globular cluster NGC 6752. CARRETTA E., BRAGAGLIA A., GRATTON R.G., et al.
2012A&A...540A.128D 92       D       C       5 27 8 Barium abundance in red giants of NGC 6752. Non-local thermodynamic equilibrium and three-dimensional effects. DOBROVOLSKAS V., KUCINSKAS A., ANDRIEVSKY S.M., et al.
2013MNRAS.434.3542Y 15       D               7 52 69 High precision differential abundance measurements in globular clusters: chemical inhomogeneities in NGC 6752. YONG D., MELENDEZ J., GRUNDAHL F., et al.
2015A&A...573A.115L viz 16       D               1 1847 38 The Gaia-ESO Survey: Kinematics of seven Galactic globular clusters. LARDO C., PANCINO E., BELLAZZINI M., et al.
2015MNRAS.446.3319Y viz 16       D               2 40 67 CNO abundances in the globular clusters NGC 1851 and NGC 6752. YONG D., GRUNDAHL F. and NORRIS J.E.
2017A&A...600A.104M viz 16       D               1 439 9 The potassium abundance in the globular clusters NGC 104, NGC 6752 and NGC 6809. MUCCIARELLI A., MERLE T. and BELLAZZINI M.
2017RAA....17...80M 16       D               1 103 ~ p-capture reaction cycles in rotating massive stars and their impact on elemental abundances in globular cluster stars: A case study of O, Na and Al. MAHANTA U., GOSWAMI A., DUORAH H., et al.
2018MNRAS.478.1520B viz 16       D               1 11619 300 A catalogue of masses, structural parameters, and velocity dispersion profiles of 112 Milky Way globular clusters. BAUMGARDT H. and HILKER M.
2019A&A...628A..54K viz 16       D               2 734 40 Non-LTE chemical abundances in Galactic open and globular clusters. KOVALEV M., BERGEMANN M., TING Y.-S., et al.
2020MNRAS.492.1641M viz 16       D               1 3434 81 Homogeneous analysis of globular clusters from the APOGEE survey with the BACCHUS code - II. The Southern clusters and overview. MESZAROS S., MASSERON T., GARCIA-HERNANDEZ D.A., et al.
2020Natur.583..768W viz 16       D               1 2060 39 The tidal remnant of an unusually metal-poor globular cluster. WAN Z., LEWIS G.F., LI T.S., et al.
2020AJ....160..120J viz 16       D               1 365763 238 APOGEE data and spectral analysis from SDSS Data Release 16: seven years of observations including first results from APOGEE-South. JONSSON H., HOLTZMAN J.A., ALLENDE PRIETO C., et al.
2022MNRAS.509.1664J viz 17       D               1 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.
2022AJ....163..152S viz 17       D               1 583193 11 APOGEE Net: An Expanded Spectral Model of Both Low-mass and High-mass Stars. SPRAGUE D., CULHANE C., KOUNKEL M., et al.
2022ApJS..259...35A viz 17       D               1 611005 320 The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data. ABDURRO'UF, ACCETTA K., AERTS 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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