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| Cl* NGC 1851 PML 37 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST12:38:00 |
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trying to find the most relevant references on this object.
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 |
|---|---|---|---|---|---|---|---|---|---|
| 1994ApJ...423..305P | 48 | 13 | An ultraviolet-visible investigation of the globular cluster NGC 1851. | PARISE R.A., MARAN S.P., LANDSMAN W.B., et al. | |||||
2011A&A...533A..69C 
|
15 | D | 1 | 137 | 145 | Multiple stellar populations in the globular cluster NGC 1851. | CARRETTA E., LUCATELLO S., GRATTON R.G., et al. | ||
| 2012A&A...543A.117C | 15 | D | 1 | 68 | 19 | Aluminum abundances of multiple stellar generations in the globular cluster NGC 1851. | CARRETTA E., D'ORAZI V., GRATTON R.G., et al. | ||
| 2014A&A...563A..32C | 15 | D | 1 | 67 | 8 | A sequence of nitrogen-rich very red giants in the globular cluster NGC 1851. | CARRETTA E., D'ORAZI V., GRATTON R.G., et al. | ||
|
2015A&A...573A.115L
|
16 | D | 1 | 1847 | 38 | The Gaia-ESO Survey: Kinematics of seven Galactic globular clusters. | LARDO C., PANCINO E., BELLAZZINI M., et al. | ||
|
2017A&A...601A.112P
|
16 | D | 1 | 542 | 90 | The Gaia-ESO Survey. Mg-Al anti-correlation in iDR4 globular clusters. | PANCINO E., ROMANO D., TANG B., et al. | ||
|
2018MNRAS.478.1520B
|
16 | D | 1 | 11619 | 300 | A catalogue of masses, structural parameters, and velocity dispersion profiles of 112 Milky Way globular clusters. | BAUMGARDT H. and HILKER M. | ||
|
2019A&A...628A..54K
|
16 | D | 1 | 734 | 40 | Non-LTE chemical abundances in Galactic open and globular clusters. | KOVALEV M., BERGEMANN M., TING Y.-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. | ||
|
2024A&A...692A.228C
|
18 | D | 1 | 49864 | ~ | Inferring stellar parameters and their uncertainties from high-resolution spectroscopy using invertible neural networks. | CANDEBAT N., SACCO G.G., MAGRINI L., et al. |
