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| PB 8585 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.24CEST12:46:42 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
1984A&AS...58..565B 
|
2502 | 24 | A search for faint blue stars in high galactic latitudes. III. Twelve PSS fields at declinations -6 and -12 near the South Galactic Pole. | BERGER J. and FRINGANT A.-M. | |||||
|
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. | ||
|
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. | ||
|
2017ApJ...850...96H
|
16 | D | 1 | 13727 | 30 | The geometry of the Sagittarius stream from Pan-STARRS1 3π RR Lyrae. | HERNITSCHEK N., SESAR B., RIX H.-W., et al. | ||
|
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. | ||
|
2019AJ....158...16S
|
17 | D | 1 | 5775 | ~ | Identification of RR Lyrae stars in multiband, sparsely sampled data from the Dark Energy Survey using template fitting and random forest classification. | STRINGER K.M., LONG J.P., MACRI L.M., et al. | ||
|
2020A&A...638A.104R
|
17 | D | 1 | 9495 | 37 | Full 5D characterisation of the Sagittarius stream with Gaia DR2 RR Lyrae. | RAMOS P., MATEU C., ANTOJA T., et al. | ||
|
2021ApJ...911..109S
|
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
|
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. |
