V* UY CrB , the SIMBAD biblio

V* UY CrB , the SIMBAD biblio (25 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.24CEST13:25:44


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Title First 3 Authors
1959JO.....42..106W 21 4 Nouvelles etoiles variables. WEBER R.
1992IBVS.3778....1S 70 T                   7 0 NSV 07453 is a new short period Cepheid or a long period RR Lyrae star. SHUGAROV S.Y.
1995IBVS.4140....1K viz 490 27 The 72nd name-list of variable stars. KAZAROVETS E.V. and SAMUS N.N.
2000AJ....119.1901A viz 14       D               1 1765 300 ROTSE all-sky surveys for variable stars. I. Test fields. AKERLOF C., AMROSE S., BALSANO R., et al.
2002AJ....123..965S 67 13 The intermediate-period cepheid strip stars. SCHMIDT E.G.
2005A&A...442..381M viz 590 12 Proper identification of RR Lyrae stars brighter than 12.5 mag. MAINTZ G.
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.
2006MNRAS.368.1757W viz 617 72 A catalogue of RR Lyrae stars from the Northern Sky Variability Survey. WILS P., LLOYD C. and BERNHARD K.
2007IBVS.5802....1H viz 476 79 Photoelectric minima of selected eclipsing binaries and maxima of pulsating stars. HUEBSCHER J.
2009AJ....138..466H viz 15       D               1 4126 116 Automated variable star classification using the Northern Sky Variability Survey. HOFFMAN D.I., HARRISON T.E. and McNAMARA B.J.
2010IBVS.5918....1H viz 15       D               2 525 88 BAV-results of observations - photoelectric minima of selected eclipsing binaries and maxima of pulsating stars. HUBSCHER J., LEHMANN P.B., MONNINGER G., et al.
2010PASP..122..877A 153           X         4 14 8 KP Cyg: an unusual metal-rich RR Lyr type star of long period. ANDRIEVSKY S.M., KOVTYUKH V.V., WALLERSTEIN G., et al.
2010MmSAI..81.1039D 15       D               1 2 3 The elusive nature of the R stars. DOMINGUEZ I., PIERSANTI L., CABEZON R., et al.
2012ApJ...755L..18K 503     A D     X         14 26 7 A new CEMP-s RR Lyrae star. KINMAN T.D., AOKI W., BEERS T.C., et al.
2009ApJ...692L.127W 280       D     X C       7 16 9 Carbon-rich RR Lyrae type stars. WALLERSTEIN G., KOVTYUKH V.V. and ANDRIEVSKY S.M.
2013ApJ...763...32D viz 16       D               1 12288 202 Probing the outer galactic halo with RR Lyrae from the Catalina surveys. DRAKE A.J., CATELAN M., DJORGOVSKI S.G., et al.
2014IBVS.6106....1B viz 16       D               1 587 6 RR Lyrae stars in the GCVS observed by the Qatar Exoplanet Survey. BRAMICH D.M., ALSUBAI K.A., ARELLANO FERRO A., 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.
2018ARep...62...50M viz 16       D               1 416 12 Relationship between the elemental abundances and the kinematics of Galactic-field RR Lyrae stars. MARSAKOV V.A., GOZHA M.L. and KOVAL V.V.
2018PASP..130e4201K 16       D               2 11 4 Metal-poor Type II Cepheids with periods less than three days. KOVTYUKH V., WALLERSTEIN G., YEGOROVA I., et al.
2018MNRAS.477.2276K viz 305       D     X         8 41 4 Type II Cepheids: evidence for Na-O anticorrelation for BL Her type stars? KOVTYUKH V., YEGOROVA I., ANDRIEVSKY 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.
2019MNRAS.486.1907J viz 17       D               1 8966 183 The ASAS-SN catalogue of variable stars - II. Uniform classification of 412 000 known variables. JAYASINGHE T., STANEK K.Z., KOCHANEK C.S., 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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