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Gaia DR2 4668948584002592000 , the SIMBAD biblio (5 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST19:36:34 |
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 |
---|---|---|---|---|---|---|---|---|---|
2016A&A...595A...1G | 17 | D | 1 | 3213 | 4492 | The Gaia mission. | GAIA COLLABORATION, PRUSTI T., DE BRUIJNE J.H.J., 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. | ||
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. |