V* KU Lyr , the SIMBAD biblio

V* KU Lyr , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST02:31:42


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Title First 3 Authors
1951VeSon...1..407H 217 2 Die veraenderlichen Sterne der nordlichen Milchstrasse. Teil VI. HOFFMEISTER C., ROHLFS E. and AHNERT P.
1971PASP...83..227K 42 2 Absolute proper motions for 41 RR Lyrae stars. KLEMOLA A.R.
2000IBVS.4905....1K 281 4 Coordinates and identifications for Sonneberg variables on MVS 301-308. KINNUNEN T. and SKIFF B.A.
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.
2014AJ....147..119C viz 16       D               1 8010 91 Contamination in the Kepler field. Identification of 685 KOIs as false positives via ephemeris matching based on Q1-Q12 data. COUGHLIN J.L., THOMPSON S.E., BRYSON S.T., 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.
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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