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| 2MASS J17455685+0603581 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST00:47:32 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
2009MNRAS.400..317J 
|
15 | D | 1 | 458 | 16 | Low-mass members of the young cluster IC 4665 and pre-main-sequence lithium depletion. | JEFFRIES R.D., JACKSON R.J., JAMES D.J., et al. | ||
|
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. | ||
|
2021A&A...651A..84M
|
17 | D | 1 | 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. | ||
|
2021MNRAS.506..150B
|
17 | D | 1 | 588596 | 276 | The GALAH+ survey: Third data release. | BUDER S., SHARMA S., KOS J., 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. | ||
|
2022MNRAS.517.5325H
|
17 | D | 1 | 214414 | 23 | The GALAH survey: chemical clocks. | HAYDEN M.R., SHARMA S., BLAND-HAWTHORN J., 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. |
