2MASS J10495719-6341212 , the SIMBAD biblio

2MASS J10495719-6341212 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST21:39:51

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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
2016MNRAS.461.3336C 94       D         F     4 54 75 The Gaia-ESO Survey: revisiting the Li-rich giant problem. CASEY A.R., RUCHTI G., MASSERON T., et al.
2018A&A...612A..99R viz 16       D               1 5907 57 The Gaia-ESO Survey: open clusters in Gaia-DR1. A way forward to stellar age calibration. RANDICH S., TOGNELLI E., JACKSON R., et al.
2018A&A...617A...4S 161           X         4 50 13 The Gaia-ESO Survey: properties of newly discovered Li-rich giants. SMILJANIC R., FRANCIOSINI E., BRAGAGLIA A., et al.
2020AJ....159....9H viz 16       D               1 86 ~ HD 150382: a lithium-rich star at the early-AGB stage? HOLANDA N., DRAKE N.A. and PEREIRA C.B.
2020MNRAS.496.4701J viz 16       D               1 23794 26 The Gaia-ESO Survey: membership probabilities for stars in 32 open clusters from 3D kinematics. JACKSON R.J., JEFFRIES R.D., WRIGHT N.J., et al.
2020A&A...643A..71G viz 16       D               1 12328 25 The Gaia-ESO Survey: Calibrating the lithium-age relation with open clusters and associations. I. Cluster age range and initial membership selections. GUTIERREZ ALBARRAN M.L., MONTES D., GOMEZ GARRIDO M., et al.
2021A&A...651A..84M viz 17       D               2 11678 30 The Gaia-ESO survey: Mixing processes in low-mass stars traced by lithium abundance in cluster and field stars. MAGRINI L., LAGARDE N., CHARBONNEL C., et al.
2022A&A...666A.121R viz 17       D               1 38011 44 The Gaia-ESO Public Spectroscopic Survey: Implementation, data products, open cluster survey, science, and legacy,. RANDICH S., GILMORE G., MAGRINI L., et al.
2023A&A...671A..61N viz 17       D               1 39409 4 The Gaia-ESO Survey: Preparing the ground for 4MOST and WEAVE galactic surveys Chemical evolution of lithium with machine learning. NEPAL S., GUIGLION G., DE JONG R.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.

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