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V* UW Cet , the SIMBAD biblio (14 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.05.11CEST13:31:46 |
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 |
---|---|---|---|---|---|---|---|---|---|
1998AJ....115..296H | 1603 | 33 | New variables in the sloan digital sky survey calibration fields. | HENDEN A.A. and STONE R.C. | |||||
2005A&A...431..143C | 8321 | 16 | The stellar content of the Hamburg/ESO survey. III. Field horizontal-branch stars in the Galaxy. | CHRISTLIEB N., BEERS T.C., THOM C., et al. | |||||
2010ApJ...708..717S | 15 | D | 1 | 490 | 189 | Light curve templates and Galactic distribution of RR Lyrae stars from Sloan Digital Sky Survey stripe 82. | SESAR B., IVEZIC Z., GRAMMER S.H., et al. | ||
2009MNRAS.398.1757W | 15 | D | 1 | 420 | 224 | Substructure revealed by RRLyraes in SDSS stripe 82. | WATKINS L.L., EVANS N.W., BELOKUROV V., 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. | ||
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. | ||
2014MNRAS.441.1230A | 16 | D | 1 | 5626 | 16 | Newly discovered RR Lyrae stars in the SDSS-Pan-STARRS1-Catalina footprint. | ABBAS M.A., GREBEL E.K., MARTIN N.F., 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. | ||
2019AJ....158...16S | 17 | D | 1 | 5775 | ~ | Identification of RR Lyrae stars in multiband, sparsely sampled data from the Dark Energy Survey using template fitting and random forest classification. | STRINGER K.M., LONG J.P., MACRI L.M., et al. | ||
2020MNRAS.491.2280S | 17 | D | 1 | 48782 | ~ | Application of convolutional neural networks for stellar spectral classification. | SHARMA K., KEMBHAVI A., KEMBHAVI A., et al. | ||
2020ApJS..249...18C | 17 | D | 1 | 652546 | 122 | The Zwicky Transient Facility catalog of periodic variable stars. | CHEN X., WANG S., DENG L., et al. | ||
2021ApJ...911..109S | 17 | D | 1 | 7001 | 17 | Identifying RR Lyrae variable stars in six years of the Dark Energy Survey. | STRINGER K.M., DRLICA-WAGNER A., MACRI L., et al. | ||
2021A&A...654A.107C | 17 | D | 1 | 57382 | 1 | Clean catalogues of blue horizontal-branch stars using Gaia EDR3. | CULPAN R., PELISOLI I. and GEIER S. | ||
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. |