V* BK Del , the SIMBAD biblio

V* BK Del , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.05.13CEST17:08:32


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Title First 3 Authors
1939AN....268..165G 406 8 Benennung von veranderlichen Sternen. GUTHNICK P. and SCHNELLER H.
1947VeSon...1...43A 319 7 Die veraenderlichen Sterne der nordlichen Milchstrasse. Teil IV. AHNERT P., HOFFMEISTER C., ROHLFS E., et al.
1959MNRAS.119..134K 20 10 A note on the RR Lyrae variables. KINMAN T.D.
2007IBVS.5761....1H 396 78 Photoelectric minima of selected eclipsing binaries and maxima of pulsating stars. HUBSCHER J. and WALTER F.
2011IBVS.5984....1H viz 15       D               2 509 35 BAV-results of observations - photoelectric minima of selected eclipsing binaries and maxima of pulsating stars. HUBSCHER J.
2011BAVSR..60...13S         O           1 0 BK Del - lichtkurve und neue lichtwechselelemente. STEINBACH H.-M.
2011BAVSM.215....1H 15       D               1 482 2 BAV-Results of observations - Photoelectric minima of selected eclipsing binaries and maxima of pulsating stars. HUEBSCHER J.
2014IBVS.6106....1B viz 16       D               1 587 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.
2018AJ....156..241H viz 16       D               1 311107 199 A first catalog of variable stars measured by the Asteroid Terrestrial-impact Last Alert System (ATLAS). HEINZE A.N., TONRY J.L., DENNEAU L., 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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