SDSS J235817.95+014337.7 , the SIMBAD biblio

SDSS J235817.95+014337.7 , the SIMBAD biblio (8 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.06.11CEST18:12:21


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Title First 3 Authors
2014MNRAS.441.1230A viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 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.

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