V* V2281 Sgr , the SIMBAD biblio

V* V2281 Sgr , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST01:25:05

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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
1963VeSon...6...67H 94 2 Veranderliche Sterne im feld iota Microscopii. HOFFMEISTER C.
2002A&A...390..173M viz 179 1 Identification of RR Lyrae stars in the Tycho-2 catalogue. MENNESSIER M.O. and COLOME J.
2005A&A...442..381M viz 590 12 Proper identification of RR Lyrae stars brighter than 12.5 mag. MAINTZ G.
2014MNRAS.441..715G viz 15       D               1 13086 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.
2015MNRAS.446.2251T viz 16       D               1 10532 100 Discovery of ∼9,000 new RR Lyrae in the southern Catalina surveys. TORREALBA G., CATELAN M., DRAKE A.J., et al.
2016A&A...592A.144S 94       D       C       2 178 3 The SERMON project: 48 new field Blazhko stars and an investigation of modulation-period distribution. SKARKA M., LISKA J., AUER R.F., et al.
2018MNRAS.478.4513B viz 16       D               1 342691 271 The GALAH Survey: second data release. BUDER S., ASPLUND M., DUONG L., 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.
2021MNRAS.500.5009M viz 17       D               1 168 ~ A theoretical scenario for Galactic RR Lyrae in the Gaia data base: constraints on the parallax offset. MARCONI M., MOLINARO R., RIPEPI V., et al.
2021MNRAS.506..150B viz 17       D               1 588596 276 The GALAH+ survey: Third data release. BUDER S., SHARMA S., KOS J., 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.
2024MNRAS.531..137D viz 18       D               4 164 ~ The GALAH survey: tracing the Milky Way's formation and evolution through RR Lyrae stars. D'ORAZI V., STORM N., CASEY A.R., et al.

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