SK -69 39 , the SIMBAD biblio

SK -69 39 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST19:23:55

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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               1286 ~ A deep objective-prism survey for Large Magellanic Cloud members. SANDULEAK N.
1976A&AS...24...35S viz 13       D               893 23 A catalogue of A-and F type supergiants in the Large Magellanic Cloud. STOCK J., OSBORN W. and IBANEZ M.
1982A&AS...48..409F 1270 22 Vitesses radiales au prisme objectif dans la direction du Grand Nuage de Magellan. FEHRENBACH C. and DUFLOT M.
1982BICDS..22..107D 172 0 Complements au catalogue de J. Stock, W. Osborn, M. Ibanez. DUFLOT M.
1999MNRAS.306..279S viz 878 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.
2002ApJS..141...81M viz 1417 322 A UBVR CCD survey of the Magellanic clouds. MASSEY P.
2014ASPC..485..223B viz 15       D               1 465820 45 The JMMC stellar diameters catalog v2 (JSDC): a new release based on SearchCal improvements BOURGES L., LAFRASSE S., MELLA G., et al.
2018MNRAS.473.2004S viz 16       D               1 24972 89 The TESS-HERMES Survey data release 1: high-resolution spectroscopy of the TESS southern continuous viewing zone. SHARMA S., STELLO D., BUDER S., et al.
2018A&A...615A..49C viz 16       D               1 224763 54 Characterising open clusters in the solar neighbourhood with the Tycho-Gaia Astrometric Solution. CANTAT-GAUDIN T., VALLENARI A., SORDO R., et al.
2019MNRAS.490.3158C viz 16       D               1 465839 28 A catalogue of stellar diameters and fluxes for mid-infrared interferometry. CRUZALEBES P., PETROV R.G., ROBBE-DUBOIS S., 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.

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