SK 86 , the SIMBAD biblio

SK 86 , the SIMBAD biblio (14 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST17:07:36


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Title First 3 Authors
1968AJ.....73..246S 13       D               171 130 A finding list of proven or probable Small Magellanic Cloud members. SANDULEAK N.
1973ApJ...181..327O 13       D               70 61 The brightest stars in the Small Magellanic Cloud. OSMER P.S.
1982A&AS...50..291A 523 98 Catalogue of the Small Magellanic Cloud star members. AZZOPARDI M. and VIGNEAU J.
1983ApJ...265..176H 108 52 Studies of luminous stars in nearby galaxies. VIII. The Small Magellanic Cloud. HUMPHREYS R.M.
1984ApJ...281...67T 102 19 Mass loss in A and B supergiants and the extragalactic distance scale. TULLY R.B. and WOLFF S.C.
1984Obs...104..193F 14 9 Infrared photometry of normal and peculiar A-type supergiants and thelaw of reddening in the Small Magellanic Cloud. FEAST M.W. and WHITELOCK P.A.
1986ApJS...62..427G 122 39 Photometric studies of Magellanic cloud supergiants. I. Mean magnitudes and reddenings. GRIEVE G.R. and MADORE B.F.
1987A&AS...69..421A 297 14 Small Magellanic Cloud : H gamma-line equivalent widths and luminosity classes of the brightest blue star members. AZZOPARDI M.
1997AJ....113.1011C viz 241 20 UIT: Ultraviolet observations of the Small Magellanic Cloud. CORNETT R.H., GREASON M.R., HILL J.K., et al.
1998A&AS..129..431H viz 14       D               38802 586 uvbyβ photoelectric photometric catalogue. HAUCK B. and MERMILLIOD M.
2002ApJS..141...81M viz 1418 322 A UBVR CCD survey of the Magellanic clouds. MASSEY P.
2004AJ....127.1632O viz 1518 61 Massive field stars and the stellar clustering law. OEY M.S., KING N.L. and PARKER J.W.
2020AJ....160..120J viz 17       D               1 365761 238 APOGEE data and spectral analysis from SDSS Data Release 16: seven years of observations including first results from APOGEE-South. JONSSON H., HOLTZMAN J.A., ALLENDE PRIETO C., 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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