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BPS CS 29526-0042 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.03.29CET09:11:32 |
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 |
---|---|---|---|---|---|---|---|---|---|
1999ApJS..123..639N | 2628 | 37 | A search for stars of very low metal abundance. III. UBV photometry of metal-weak candidates. | NORRIS J.E., RYAN S.G. and BEERS T.C. | |||||
2005A&A...431..143C | 8321 | 16 | The stellar content of the Hamburg/ESO survey. III. Field horizontal-branch stars in the Galaxy. | CHRISTLIEB N., BEERS T.C., THOM C., et al. | |||||
2008AJ....136..259W | 15 | D | 1 | 413 | 15 | The second GALEX ultraviolet variability (GUVV-2) catalog. | WHEATLEY J.M., WELSH B.Y. and BROWNE S.E. | ||
2014AJ....148..121K | 16 | D | 1 | 255 | 3 | The identification of RR Lyrae and δ Scutti stars from variable Galaxy Evolution Explorer ultraviolet sources. | KINMAN T.D. and BROWN W.R. | ||
2015MNRAS.446.2251T | 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. | ||
2017AJ....153..204S | 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. | ||
2018AJ....156..241H | 16 | D | 2 | 311114 | 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 | 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 | 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. |