OGLE SMC724.15.000494 , the SIMBAD biblio

OGLE SMC724.15.000494 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.23CEST14:00:20


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Title First 3 Authors
1973PDDO....3....6S viz 13       D               1 141 352 A third catalogue of variable stars in globular clusters comprising 2119 entries. SAWYER HOGG H.
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.
2001AJ....122.2569B viz 26 42 Age as the second parameter in NGC 288/NGC 362? I. Turnoff ages: a purely differential comparison. BELLAZZINI M., PECCI F.F., FERRARO F.R., et al.
2007A&A...463..589S viz 15       D               1 92 15 RR Lyrae stars in the southern globular cluster NGC 362. SZEKELY P., KISS L.L., JACKSON R., et al.
2014MNRAS.441..715G viz 16       D               1 13079 14 A mid-infrared study of RR Lyrae stars with the Wide-field Infrared Survey Explorer all-sky data release. GAVRILCHENKO T., KLEIN C.R., BLOOM J.S., et al.
2016AcA....66..131S viz 16       D               1 46551 96 The OGLE Collection of Variable Stars. Over 45 000 RR Lyrae Stars in the Magellanic System. SOSZYNSKI I., UDALSKI A., SZYMANSKI M.K., et al.
2018MNRAS.478.1520B viz 16       D               1 11619 300 A catalogue of masses, structural parameters, and velocity dispersion profiles of 112 Milky Way globular clusters. BAUMGARDT H. and HILKER M.
2018MNRAS.480..669P viz 16       D               1 3119 2 Photometric study of the SMCNOD using variable stars from the OGLE-IV survey. PRUDIL Z., GREBEL E.K., DEKANY I., et al.
2019A&A...622A..60C viz 17       D               1 150347 194 Gaia Data Release 2. Specific characterisation and validation of all-sky Cepheids and RR Lyrae stars. CLEMENTINI G., RIPEPI V., MOLINARO R., et al.
2019AcA....69...87S 17       D               1 47837 ~ Final Release of the OGLE Collection of Cepheids and RR Lyrae Stars in the Magellanic System. The Outer Regions. SOSZYNSKI I., UDALSKI A., SZYMANSKI M.K., et al.
2022ApJS..261...33D viz 18       D               1 104673 3 Photometric Metallicity Prediction of Fundamental-mode RR Lyrae Stars in the Gaia Optical and Ks Infrared Wave Bands by Deep Learning. DEKANY I. and GREBEL E.K.

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