SK -67 91 , the SIMBAD biblio

SK -67 91 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST22:36:27


Sort references on where and how often the object is cited
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
1970CoTol..89....1S viz 13       D               1287 ~ A deep objective-prism survey for Large Magellanic Cloud members. SANDULEAK N.
1974A&AS...13..173F 1903 22 Vitesses radiales au prisme-objectif dans la direction du Grand Nuage de Magellan. Liste de 398 etoiles, membres du GNM. Liste de 1434 etoiles galactiques en direction du GNM. FEHRENBACH C. and DUFLOT M.
1976A&AS...24...35S viz 14       D               893 23 A catalogue of A-and F type supergiants in the Large Magellanic Cloud. STOCK J., OSBORN W. and IBANEZ M.
1979A&AS...38..239I 408 49 Photoelektrische Photometrie in der Grossen Magellanischen Wolke. ISSERSTEDT J.
1982BICDS..22..107D 172 0 Complements au catalogue de J. Stock, W. Osborn, M. Ibanez. DUFLOT M.
1999MNRAS.306..279S viz 879 13 UBV photometry of Galactic foreground and LMC member stars - III. LMC member stars - a new data base. SCHMIDT-KALER T., GOCHERMANN J., OESTREICHER M.O., et al.
2001PASP..113.1130J 61 13 Spectroscopic classification of 42 Large Magellanic Cloud OB stars: selection of probes for the hot gaseous halo of the Large Magellanic Cloud. JAXON E.G., GUERRERO M.A., HOWK J.C., et al.
2009AJ....138.1003B viz 15       D               1 1760 163 Spitzer SAGE infrared photometry of massive stars in the Large Magellanic Cloud. BONANOS A.Z., MASSA D.L., SEWILO M., et al.
2018A&A...615A..49C viz 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.
2021ApJ...913...32D viz 17       D               1 5182 ~ Photometric classifications of evolved massive stars: preparing for the era of webb and roman with machine learning. DORN-WALLENSTEIN T.Z., DAVENPORT J.R.A., HUPPENKOTHEN D., et al.

goto View the references in ADS