LMC-BM 11-19 , the SIMBAD biblio

LMC-BM 11-19 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST07:32:39

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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
1990AJ....100..674B 14       D               1 853 35 Identification of 849 cool-carbon LMC stars. BLANCO V.M. and McCARTHY M.F.
2003A&A...402..801L viz 858 3 On the usefulness of finding charts. Or the runaway carbon stars of the Blanco & McCarthy field 37. LOUP C., DELMOTTE N., EGRET D., et al.
2008AJ....136.1242F viz 15       D               1 47759 44 The properties of long-period variables in the Large Magellanic Cloud from MACHO. FRASER O.J., HAWLEY S.L. and COOK K.H.
2009AcA....59..239S viz 15       D               1 92001 185 The Optical Gravitational Lensing Experiment. The OGLE-III catalog of variable stars. IV. Long-period variables in the Large Magellanic Cloud. SOSZYNSKI I., UDALSKI A., SZYMANSKI M.K., et al.
2010PASP..122..683K viz 15       D               1 238 89 The SAGE-Spec Spitzer Legacy program: the life cycle of dust and gas in the Large Magellanic Cloud. KEMPER F., WOODS P.M., ANTONIOU V., et al.
2011MNRAS.411.1597W viz 53       D     X         2 230 107 The SAGE-Spec Spitzer Legacy programme: the life-cycle of dust and gas in the Large Magellanic Cloud – point source classification I. WOODS P.M., OLIVEIRA J.M., KEMPER F., et al.
2011A&A...536A..60S viz 15       D               1 43415 15 Long period variables in the Large Magellanic Cloud from the EROS-2 survey. SPANO M., MOWLAVI N., EYER L., et al.
2018A&A...609A.114G viz 56       D     X         2 408 55 Luminosities and mass-loss rates of Local Group AGB stars and red supergiants. GROENEWEGEN M.A.T. and SLOAN G.C.
2023A&A...674A..15L viz 17       D               1 1720610 15 Gaia Data Release 3 The second Gaia catalogue of long-period variable candidates. LEBZELTER T., MOWLAVI N., LECOEUR-TAIBI I., et al.
2025MNRAS.537.1028P 19       D               1 97 ~ The VMC Survey - LI. Classifying extragalactic sources using a probabilistic random forest supervised machine learning algorithm. PENNOCK C.M., VAN LOON J.T., CIONI M.-R.L., et al.

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