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| Cl* NGC 2264 VAS 22B , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST02:26:50 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
| 1965AJ.....70..797V | 13 | D | 1 | 261 | 98 | Membership of the open cluster NGC 2264. | VASILEVSKIS S., SANDERS W.L. and BALZ A.G.A. | ||
1997AJ....114.2644S 
|
14 | D | 1 | 609 | 156 | UBVRI H-alpha photometry of the young open cluster NGC 2264. | SUNG H., BESSELL M.S. and LEE S.-W. | ||
|
2016ApJ...831..116L
|
16 | D | 1 | 115 | 10 | A constraint on the formation timescale of the young open cluster NGC 2264: lithium abundance of pre-main sequence stars. | LIM B., SUNG H., KIM J.S., et al. | ||
|
2018A&A...609A..10V
|
16 | D | 1 | 1906 | 39 | The Gaia-ESO Survey and CSI 2264: Substructures, disks, and sequential star formation in the young open cluster NGC 2264. | VENUTI L., PRISINZANO L., SACCO G.G., et al. | ||
|
2020MNRAS.496.4701J
|
16 | D | 2 | 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...642A..56B
|
16 | D | 2 | 1846 | ~ | The Gaia-ESO Survey: A new diagnostic for accretion and outflow activity in the young cluster NGC 2264. | BONITO R., PRISINZANO L., VENUTI L., et al. | ||
|
2022MNRAS.509.1664J
|
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. | ||
|
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. |
