Cl* NGC 104 LEE 8737 , the SIMBAD biblio

Cl* NGC 104 LEE 8737 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST21:47:06

Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
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
1992A&AS...93..293T viz 3072 38 Astrometry of globular clusters. I. Relative proper motions for stars in 47 Tuc. TUCHOLKE H.-J.
2014ApJ...780...94C viz 15       D               1 184 88 Detailed abundances for a large sample of giant stars in the globular cluster 47 Tucanae (NGC 104). CORDERO M.J., PILACHOWSKI C.A., JOHNSON C.I., 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.
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.
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.
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.

goto View the references in ADS