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| GES J10453719-6416088 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST00:58:28 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
| 1995A&A...300..134R | 229 | 99 | An X-ray study of the young open cluster IC 2602. | RANDICH S., SCHMITT J.H.M.M., PROSSER C.F., et al. | |||||
| 1997ApJ...479..776S | 99 | 199 | Rotational velocities and chromospheric/coronal activity of low-mass stars in the young open clusters IC 2391 and IC 2602. | STAUFFER J.R., HARTMANN L.W., PROSSER C.F., et al. | |||||
2001A&A...372..862R 
|
75 | 110 | Membership, lithium, and metallicity in the young open clusters IC 2602 and IC 2391: Enlarging the sample. | RANDICH S., PALLAVICINI R., MEOLA G., et al. | |||||
|
2005yCat.3244....0G
|
15 | D | 2 | 26640 | 61 | Catalog of Stellar Rotational Velocities | GLEBOCKI R. and GNACINSKI P. | ||
|
2018A&A...612A..99R
|
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. | ||
|
2020MNRAS.496.4701J
|
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
|
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. | ||
|
2022A&A...666A.121R
|
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
|
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
|
17 | D | 1 | 114943 | ~ | The Gaia-ESO Survey: Homogenisation of stellar parameters and elemental abundances. | HOURIHANE A., FRANCOIS P., WORLEY C.C., et al. |
