V* V419 Peg , the SIMBAD biblio

V* V419 Peg , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST23:21:05

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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
1927AJ.....37..155R 51 9 New variable stars. (fifth list). ROSS F.E.
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.
2006IBVS.5699....1.         O           104 0 Observations of variables.
2008AJ....135..564B viz 15       D               2416 28 The Century Survey Galactic Halo Project. III. A complete 4300°2 survey of blue horizontal branch stars in the metal-weak thick disk and inner halo. BROWN W.R., BEERS T.C., WILHELM R., et al.
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.
2012JAVSO..40..929O 77           X         2 202 ~ The Ross variable stars revisited. II. OSBORN W. and MILLS O.F.
2014IBVS.6106....1B viz 16       D               2 587 6 RR Lyrae stars in the GCVS observed by the Qatar Exoplanet Survey. BRAMICH D.M., ALSUBAI K.A., ARELLANO FERRO A., 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.
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.
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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