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V* V429 Peg , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.03.29CET14:47:57 |
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. | ||
2012AJ....144...39L | 54 | D | X | 2 | 144 | 20 | The all-sky GEOS RR Lyr survey with the TAROT telescopes: analysis of the Blazhko effect. | LE BORGNE J.-F., KLOTZ A., PORETTI E., et al. | |
2013A&A...549A.101S | 16 | D | 1 | 242 | 26 | Known Galactic field Blazhko stars. | SKARKA M. | ||
2014IBVS.6106....1B | 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. | ||
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. | ||
2021ApJ...912..144M | 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 | 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. |