FASTT 3 , the SIMBAD biblio

FASTT 3 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST08:45:58


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Title First 3 Authors
1998AJ....115..296H viz 1603 33 New variables in the sloan digital sky survey calibration fields. HENDEN A.A. and STONE R.C.
2010ApJ...708..717S viz 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 viz 15       D               1 420 224 Substructure revealed by RRLyraes in SDSS stripe 82. WATKINS L.L., EVANS N.W., BELOKUROV V., et al.
2013ApJ...763...32D viz 15       D               1 12288 202 Probing the outer galactic halo with RR Lyrae from the Catalina surveys. DRAKE A.J., CATELAN M., DJORGOVSKI S.G., et al.
2014MNRAS.441.1230A viz 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.
2017ApJ...834..160N viz 16       D               1 398 2 Period-color and amplitude-color relations at maximum and minimum light for RR Lyrae stars in the SDSS Stripe 82 Region. NGEOW C.-C., KANBUR S.M., BHARDWAJ A., 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 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 viz 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.
2019ApJ...882..169F 82               F     1 27 34 On the use of field RR Lyrae as galactic probes. I. The Oosterhoff dichotomy based on fundamental variables. FABRIZIO M., BONO G., BRAGA V.F., et al.
2020MNRAS.491.2280S viz 16       D               1 48782 ~ Application of convolutional neural networks for stellar spectral classification. SHARMA K., KEMBHAVI A., KEMBHAVI A., et al.
2020ApJS..247...68L viz 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 viz 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 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.
2022MNRAS.510.3575H viz 17       D               1 71780 1 Identifying RR Lyrae in the ZTF DR3 data set. HUANG K.-W. and KOPOSOV S.E.
2022ApJ...932..118C viz 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 viz 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.
2023ApJ...944...88L viz 17       D               1 135907 6 Photometric Metallicity and Distance Estimates for ∼136,000 RR Lyrae Stars from Gaia Data Release 3. LI X.-Y., HUANG Y., LIU G.-C., et al.
2023A&A...674A..18C viz 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.
2024A&A...690L..17L viz 18       D               1 11379 ~ An 'alien' called the Oosterhoff dichotomy? LUONGO E., RIPEPI V., MARCONI M., et al.

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