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| 2MASS J06311925+0451121 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST12:45:16 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
2008ApJ...675..464W 
|
15 | D | 1 | 977 | 94 | A Chandra study of the Rosette star-forming complex. I. The stellar population and structure of the young open cluster NGC 2244. | WANG J., TOWNSLEY L.K., FEIGELSON E.D., et al. | ||
|
2013MNRAS.434..806B
|
15 | D | 1 | 4741 | 204 | Pre-main-sequence isochrones - II. Revising star and planet formation time-scales. | BELL C.P.M., NAYLOR T., MAYNE N.J., et al. | ||
|
2020A&A...633A..99C
|
16 | D | 1 | 257585 | 169 | Clusters and mirages: cataloguing stellar aggregates in the Milky Way. | CANTAT-GAUDIN T. and ANDERS F. | ||
|
2020A&A...640A...1C
|
16 | D | 1 | 235399 | 241 | Painting a portrait of the Galactic disc with its stellar clusters. | CANTAT-GAUDIN T., ANDERS F., CASTRO-GINARD A., et al. | ||
|
2021A&A...647A..19T
|
17 | D | 1 | 24814 | 55 | 3D kinematics and age distribution of the open cluster population. | TARRICQ Y., SOUBIRAN C., CASAMIQUELA 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. | ||
|
2022A&A...668A..19M
|
17 | D | 1 | 5716 | 5 | Stellar population of the Rosette Nebula and NGC 2244 Application of the probabilistic random forest. | MUZIC K., ALMENDROS-ABAD V., BOUY H., 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. |
