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| Cl* NGC 2244 CDZ 158 , the SIMBAD biblio (6 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.06.12CEST06:50:57 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
1985CBVMS.C......0V 
|
6063 | ~ | Catalogue of BV magnitudes and spectral classes for 6000 stars. Ukrainian Acad. Nauk, Kiev, 1-140. | VOROSHILOV V.I., GUSEVA N.G., KALANDADZE N.B., et al. | |||||
|
2007AJ....134.1368C
|
15 | D | 1 | 883 | 66 | Mass segregation in very young open clusters: a case study of NGC 2244 and NGC 6530. | CHEN L., DE GRIJS R. and ZHAO J.L. | ||
|
2015MNRAS.449.1401H
|
16 | D | 1 | 3011 | 6 | A large sample of metallic-line star candidates from LAMOST Data Release 1. | HOU W., LUO A., YANG H., et al. | ||
|
2020A&A...640A.127Z
|
17 | D | 1 | 9111 | 33 | Exploring open cluster properties with Gaia and LAMOST. | ZHONG J., CHEN L., WU D., et al. | ||
|
2020A&A...643A.122S
|
17 | D | 1 | 3787 | ~ | Active deep learning method for the discovery of objects of interest in large spectroscopic surveys. | SKODA P., PODSZTAVEK O. and TVRDIK P. | ||
|
2022ApJS..259...63S
|
18 | D | 1 | 10264 | 2 | Objective Separation between CP1 and CP2 Based on Feature Extraction with Machine Learning. | SHANG L.-H., LUO A.-L., WANG L., et al. |
