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ASAS J075826+2222.3 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.23CEST10:12:25 |
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. | |||
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. | ||
2013ApJ...765..154D | 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...70I | 16 | D | 1 | 216 | ~ | The Taiwanese-American Occultation Survey project stellar variability. III. Detection of 58 new variable stars. | ISHIOKA R., WANG S.-Y., ZHANG Z.-W., et al. | ||
2014MNRAS.441..715G | 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. | ||
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. |