V* OO Com , the SIMBAD biblio

V* OO Com , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.24CEST02:43:00


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Title First 3 Authors
1996ApJS..103..433B viz 4185 34 A catalog of candidate field horizontal-branch and A-type stars. II. BEERS T.C., WILHELM R., DOINIDIS S.P., et al.
2006AJ....132.1202K viz 15       D               1185 88 Analysis of RR Lyrae stars in the northern sky variability survey. KINEMUCHI K., SMITH H.A., WOZNIAK P.R., et al.
2006PZP.....6...34M 18 4 Moscow digital variables. I. MANANNIKOV A.L., SOKOLOVSKY K.V., SAMUS N.N., et al.
2010ARep...54.1000K viz 15       D               1 521 15 New variable stars on digitized Moscow collection plates. The field of 66 Ophiuchi. KOLESNIKOVA D.M., SAT L.A., SOKOLOVSKY K.V., et al.
2013ApJ...765..154D viz 16       D               1 3239 79 Evidence for a Milky way tidal stream reaching beyond 100 kpc. DRAKE A.J., CATELAN M., DJORGOVSKI S.G., et al.
2013AJ....146...21S viz 16       D               1 5702 98 Exploring the variable sky with LINEAR. II. Halo structure and substructure traced by RR Lyrae stars to 30 kpc. SESAR B., IVEZIC Z., STUART J.S., et al.
2017AJ....153..204S viz 16       D               1 46977 123 Machine-learned identification of RR Lyrae stars from sparse, multi-band data: the PS1 sample. SESAR B., HERNITSCHEK N., MITROVIC S., et al.
2018AJ....156..241H viz 16       D               1 311114 199 A first catalog of variable stars measured by the Asteroid Terrestrial-impact Last Alert System (ATLAS). HEINZE A.N., TONRY J.L., DENNEAU L., 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.
2021ApJ...912..144M viz 17       D               1 2105 23 Metallicity of galactic RR Lyrae from optical and infrared light curves. I. Period-Fourier-Metallicity relations for fundamental-mode RR Lyrae. MULLEN J.P., MARENGO M., MARTINEZ-VAZQUEZ C.E., 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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