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NGC 2548 894 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST04:19:28 |
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 |
---|---|---|---|---|---|---|---|---|---|
1983A&AS...53..181A | 14 | D | 1 | 3396 | 10 | Positions of stars in regions of 14 southern galactic clusters. | ANDERSEN T.B. and REIZ A. | ||
2002A&A...381..464W | 484 | 13 | Determination of proper motions and membership of the open star cluster NGC 2548. | WU Z.Y., TIAN K.P., BALAGUER-NUNEZ L., et al. | |||||
2004AJ....127.2210R | 15 | D | 1 | 155 | 20 | A survey of open clusters in the u'g'r'i'z' filter system. I. Results for NGC 2548 (M48). | RIDER C.J., TUCKER D.L., SMITH J.A., et al. | ||
2005A&A...437..457B | 5197 | 8 | uvby-Hβ CCD photometry and membership segregation of the open cluster NGC 2548: gaps in the Main Sequence of open clusters. | BALAGUER-NUNEZ L., JORDI C. and GALADI-ENRIQUEZ D. | |||||
2008AJ....136..118F | 15 | D | 1 | 3514 | 68 | Open clusters as galactic disk tracers. I. Project motivation, cluster membership, and bulk three-dimensional kinematics. | FRINCHABOY P.M. and MAJEWSKI S.R. | ||
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. | ||
2018A&A...615A..49C | 16 | D | 1 | 224764 | 54 | Characterising open clusters in the solar neighbourhood with the Tycho-Gaia Astrometric Solution. | CANTAT-GAUDIN T., VALLENARI A., SORDO R., et al. | ||
2020AJ....159..220S | 17 | D | 1 | 302 | ~ | WIYN open cluster study LXXIX. M48 (NGC 2548) I. Radial velocities, rotational velocities, and metallicities of stars in the open cluster M48 (NGC 2548). | SUN Q., DELIYANNIS C.P., STEINHAUER A., et al. | ||
2022A&A...659A..59T | 18 | D | 1 | 92136 | 38 | Structural parameters of 389 local open clusters. | TARRICQ Y., SOUBIRAN C., CASAMIQUELA L., et al. | ||
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. |