Cl* NGC 6121 ALC 152 , the SIMBAD biblio

Cl* NGC 6121 ALC 152 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST00:02:22


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Title First 3 Authors
1990AJ.....99.1491C 523 98 Astrometry and photometry in the globular cluster M 4. CUDWORTH K.M. and REES R.
1995ApJ...443..124P viz 543 58 Radial velocities of stars in the globular cluster M 4 and the cluster distance. PETERSON R.C., REES R.F. and CUDWORTH K.M.
2011A&A...535A..31V 15       D               3 53 40 Bimodality of light and s-elements in M4 (NGC 6121). A hint for the massive main-sequence star pollution scenario. VILLANOVA S. and GEISLER D.
2015MNRAS.454.2621M viz 16       D               1 2720 7 The M 4 Core Project with HST - IV. Internal kinematics from accurate radial velocities of 2771 cluster members. MALAVOLTA L., PIOTTO G., BEDIN L.R., 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.
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.
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.
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.
2022A&A...665A..57L viz 17       D               1 6323 23 Substructure in the stellar halo near the Sun. I. Data-driven clustering in integrals-of-motion space. LOVDAL S.S., RUIZ-LARA T., KOPPELMAN H.H., et al.

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