2MASS J21300187+1207364 , the SIMBAD biblio

2MASS J21300187+1207364 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST23:19:22


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Title First 3 Authors
1983A&AS...51...83B 314 63 Positions, magnitudes, and colors for stars in the globular cluster M 15. BUONANNO R., BUSCEMA G., CORSI C.E., et al.
1985A&AS...61..487B 281 19 The blue horizontal branch of the globular cluster M 15: photographic photometry with the GALAXY machine. BATTISTINI P., BREGOLI G., FUSI PECCI F., et al.
1996A&AS..119..307L viz 546 6 M15, an astrometric standard for CCD observations. LE CAMPION J.-F., COLIN J. and GEFFERT M.
2009A&A...505..117C viz 15       D               1 1554 734 Na-O anticorrelation and HB. VII. The chemical composition of first and second-generation stars in 15 globular clusters from GIRAFFE spectra. CARRETTA E., BRAGAGLIA A., GRATTON R.G., et al.
2013A&A...553A..47W 15       D               1 95 28 Ba and Eu abundances in M 15 giant stars. WORLEY C.C., HILL V., SOBECK J., 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.
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.
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.
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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