Cl* NGC 362 HAR 2309 , the SIMBAD biblio

Cl* NGC 362 HAR 2309 , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST06:35:54


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Title First 3 Authors
1992A&AS...93..311T viz 546 20 Astrometry of globular clusters. II. Relative proper motions and the space motion of NGC 362. TUCHOLKE H.-J.
1993AJ....106.1508F viz 14       D               1 224 29 Dynamics of the globular cluster NGC 362. FISCHER P., WELCH D.L., MATEO M., et al.
1995A&AS..113..299M viz 217 33 Abundances and velocities for open and globular cluster giants: The data. MINNITI D.
2000A&AS..144....1M viz 14       D               1 10554 9 Bibliographic catalogue of stellar radial velocities: (1991-1994). MALARODA S., LEVATO H., MORRELL N., et al.
2007AJ....134.1298C viz 218 70 The infrared Ca II triplet as metallicity indicator. CARRERA R., GALLART C., PANCINO E., et al.
2016ApJ...832...99L viz 16       D               1 77 17 Reversed trend of radial distribution of subpopulations in the globular clusters NGC 362 and NGC 6723. LIM D., LEE Y.-W., PASQUATO M., et al.
2017A&A...601A.112P viz 16       D               1 542 90 The Gaia-ESO Survey. Mg-Al anti-correlation in iDR4 globular clusters. PANCINO E., ROMANO D., TANG B., 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               1 734 40 Non-LTE chemical abundances in Galactic open and globular clusters. KOVALEV M., BERGEMANN M., TING Y.-S., 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.
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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