[DCD2013] MLS J003832.2+033007 , the SIMBAD biblio

[DCD2013] MLS J003832.2+033007 , the SIMBAD biblio (7 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.24CEST00:43:11

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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
2013ApJ...763...32D viz 16       D               1 12288 202 Probing the outer galactic halo with RR Lyrae from the Catalina surveys. DRAKE A.J., CATELAN M., DJORGOVSKI S.G., et al.
2013ApJ...765..154D viz 16       D               1 3239 79 Evidence for a Milky way tidal stream reaching beyond 100 kpc. DRAKE A.J., CATELAN M., DJORGOVSKI S.G., et al.
2016ApJS..224....2H viz 16       D               1 31767 226 The K2 ecliptic plane input catalog (EPIC) and stellar classifications of 138,600 targets in campaigns 1-8. HUBER D., BRYSON S.T., HAAS M.R., 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...911..109S viz 17       D               1 7001 17 Identifying RR Lyrae variable stars in six years of the Dark Energy Survey. STRINGER K.M., DRLICA-WAGNER A., MACRI L., 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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