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SDSS J235817.95+014337.7 , the SIMBAD biblio (8 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.06.11CEST18:12:21 |
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 |
---|---|---|---|---|---|---|---|---|---|
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. | ||
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. | ||
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. | ||
2020ApJS..249...18C | 17 | D | 1 | 781611 | 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. | ||
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. | ||
2023A&A...674A..18C | 19 | 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. |