SK 140 , the SIMBAD biblio

SK 140 , the SIMBAD biblio (13 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST15:27:10

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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
1968AJ.....73..246S 13       D               171 130 A finding list of proven or probable Small Magellanic Cloud members. SANDULEAK N.
1972POStr...2....1F 13       D               698 21 Etude du Petit Nuage de Magellan par la technique du prisme-objectif de Fehrenbach. FLORSCH A.
1973ApJS...26...37N 237 138 The evolutionary status of the blue halo stars. NEWELL E.B.
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.
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.
1992A&AS...93..311T viz 546 20 Astrometry of globular clusters. II. Relative proper motions and the space motion of NGC 362. TUCHOLKE H.-J.
2002ApJS..141...81M viz 1417 322 A UBVR CCD survey of the Magellanic clouds. MASSEY P.
2010AJ....140..416B viz 15       D               1 5310 140 Spitzer SAGE-SMC infrared photometry of massive stars in the Small Magellanic Cloud. BONANOS A.Z., LENNON D.J., KOHLINGER F., et al.
2019A&A...629A..91Y viz 16       D               1 1374 29 Evolved massive stars at low-metallicity. I. A source catalog for the Small Magellanic Cloud. YANG M., BONANOS A.Z., JIANG B.-W., 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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