other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
V* V492 And , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.18CEST06:00:50 |
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. | |||
2008AJ....135..564B | 15 | D | 2416 | 28 | The Century Survey Galactic Halo Project. III. A complete 4300°2 survey of blue horizontal branch stars in the metal-weak thick disk and inner halo. | BROWN W.R., BEERS T.C., WILHELM R., et al. | |||
2011IBVS.5969....1K | 15 | D | 1 | 2040 | 27 | The 80th name-list of variable stars. Part I - RA 0h to 6h. | KAZAROVETS E.V., SAMUS N.N., DURLEVICH O.V., et al. | ||
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. | ||
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. | ||
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. | ||
2017AJ....153..204S | 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. | ||
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. | ||
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. |