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| V* UW Cet , the SIMBAD biblio (18 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST02:41:46 |
| 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 |
15 | 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 |
15 | D | 1 | 13086 | 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 |
15 | 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 |
16 | 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 |
16 | 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 |
16 | D | 1 | 48782 | ~ | Application of convolutional neural networks for stellar spectral classification. | SHARMA K., KEMBHAVI A., KEMBHAVI A., et al. | ||
|
2020ApJS..247...68L |
16 | D | 1 | 6244 | 20 | Probing the Galactic halo with RR Lyrae stars. I. The catalog. | LIU G.-C., HUANG Y., ZHANG H.-W., et al. | ||
|
2020ApJS..249...18C |
16 | D | 1 | 781605 | 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. | ||
|
2022ApJ...932..118C |
17 | D | 2 | 730182 | 4 | Searching for Anomalies in the ZTF Catalog of Periodic Variable Stars. | CHAN H.-S., VILLAR V.A., CHEUNG S.-H., et al. | ||
|
2022ApJS..261...33D |
17 | 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. | ||
|
2023A&A...674A..18C |
17 | D | 1 | 271810 | 30 | Gaia Data Release 3 Specific processing and validation of all-sky RR Lyrae and Cepheid stars: The RR Lyrae sample. | CLEMENTINI G., RIPEPI V., GAROFALO A., et al. | ||
| 2024AJ....168...43V | 376 | D | X C | 8 | 13 | ~ | Study of Double-mode RR Lyrae Stars in the Stripe 82 Region Using SDSS and ZTF. | VARMA V. and NGEOW C.-C. |