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| SDSS J224442.42-010731.9 , the SIMBAD biblio (7 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST21:04:49 |
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More on score
| 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 |
|---|---|---|---|---|---|---|---|---|---|
2010ApJ...708..717S 
|
15 | D | 1 | 490 | 189 | Light curve templates and Galactic distribution of RR Lyrae stars from Sloan Digital Sky Survey stripe 82. | SESAR B., IVEZIC Z., GRAMMER S.H., et al. | ||
|
2009MNRAS.398.1757W
|
15 | D | 1 | 420 | 224 | Substructure revealed by RRLyraes in SDSS stripe 82. | WATKINS L.L., EVANS N.W., BELOKUROV V., et al. | ||
|
2014NewA...27....1M
|
15 | D | 2 | 120 | 4 | APASS BVgri search for and characterization of RR Lyr variables candidate members of the Aquarius halo stream. | MUNARI U., HENDEN A. and FRIGO A. | ||
|
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. | ||
|
2019AJ....158...16S
|
16 | 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. | ||
|
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. | ||
|
2022MNRAS.510.3575H
|
17 | D | 1 | 71780 | 1 | Identifying RR Lyrae in the ZTF DR3 data set. | HUANG K.-W. and KOPOSOV S.E. |
