other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
LINEAR 15384710 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST08:50:05 |
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...765..154D | 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. | ||
2013AJ....146...21S | 16 | D | 1 | 5702 | 98 | Exploring the variable sky with LINEAR. II. Halo structure and substructure traced by RR Lyrae stars to 30 kpc. | SESAR B., IVEZIC Z., STUART J.S., et al. | ||
2013AJ....146..101P | 16 | D | 1 | 7198 | 120 | Exploring the variable sky with LINEAR. III. Classification of periodic light curves. | PALAVERSA L., IVEZIC Z., EYER L., et al. | ||
2014MNRAS.441.1230A | 16 | D | 1 | 5626 | 16 | Newly discovered RR Lyrae stars in the SDSS-Pan-STARRS1-Catalina footprint. | ABBAS M.A., GREBEL E.K., MARTIN N.F., 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. | ||
2018MNRAS.475.2480P | 16 | D | 1 | 1459 | 13 | The sdA problem - I. Physical properties. | PELISOLI I., KEPLER S.O. and KOESTER D. | ||
2018AJ....156..241H | 16 | D | 1 | 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. |