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V* V419 Vir , the SIMBAD biblio (11 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST02:13:18 |
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 |
---|---|---|---|---|---|---|---|---|---|
2006AJ....132.1202K | 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. | |||
2007MNRAS.377.1263S | 15 | D | 169 | 46 | Multiperiodic Galactic field RR Lyrae stars in the ASAS catalogue. | SZCZYGIEL D.M. and FABRYCKY D.C. | |||
2009AJ....138..466H | 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. | ||
2013ApJ...763...32D | 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. | ||
2013A&A...549A.101S | 55 | D | X | 2 | 242 | 26 | Known Galactic field Blazhko stars. | SKARKA M. | |
2014A&A...562A..90S | 16 | D | 1 | 138 | 19 | Bright Blazhko RRab Lyrae stars observed by ASAS and the SuperWASP surveys. | SKARKA M. | ||
2014MNRAS.445.1584S | 16 | D | 1 | 556 | 7 | Characteristics of bright AB-type RR Lyrae stars from the ASAS and WASP surveys. | SKARKA M. | ||
2018AJ....156..241H | 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 | 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. | ||
2021MNRAS.502.4074M | 17 | D | 1 | 858 | ~ | Kinematics and multiband period-luminosity-metallicity relation of RR Lyrae stars via statistical parallax. | MUHIE T.D., DAMBIS A.K., BERDNIKOV L.N., et al. | ||
2022ApJS..261...33D | 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. |