V* V1132 Her , the SIMBAD biblio

V* V1132 Her , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST19:51:03

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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
1967AN....290...43H 425 41 Mitteilungen uber neuendeckte Veranderliche Sterne HOFFMEISTER C.
1999IBVS.4789....1K 326 4 Precise coordinates of variables stars (5). KATO T.
2006AJ....132.1202K viz 15       D               1185 88 Analysis of RR Lyrae stars in the northern sky variability survey. KINEMUCHI K., SMITH H.A., WOZNIAK P.R., et al.
2006MNRAS.368.1757W viz 617 72 A catalogue of RR Lyrae stars from the Northern Sky Variability Survey. WILS P., LLOYD C. and BERNHARD K.
2008IBVS.5863....1K viz 15       D               2 1274 25 The 79th name-list of variable stars. KAZAROVETS E.V., SAMUS N.N., DURLEVICH O.V., et al.
2014MNRAS.441..715G viz 16       D               1 13079 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 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.
2014ApJS..213....9D viz 16       D               1 46794 385 The Catalina surveys periodic variable star catalog. DRAKE A.J., GRAHAM M.J., DJORGOVSKI S.G., 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.
2021ApJ...912..144M viz 17       D               1 2105 23 Metallicity of galactic RR Lyrae from optical and infrared light curves. I. Period-Fourier-Metallicity relations for fundamental-mode RR Lyrae. MULLEN J.P., MARENGO M., MARTINEZ-VAZQUEZ C.E., 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.

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