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| NSV 8468 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST18:44:01 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
| 1936ApJ....83..340O | 14 | 6 | Investigations on proper motion, nineteenth paper: proper motions of 651 stars in 97 selected areas. | OOSTERHOFF P.T. | |||||
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 | 311106 | 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. | ||
|
2022ApJS..261...33D
|
17 | 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. | ||
|
2023ApJ...944...88L
|
17 | D | 1 | 135907 | 6 | Photometric Metallicity and Distance Estimates for ∼136,000 RR Lyrae Stars from Gaia Data Release 3. | LI X.-Y., HUANG Y., LIU G.-C., et al. | ||
|
2019AcA....69..321S
|
16 | D | 2 | 80178 | 56 | Over 78 000 RR Lyrae stars in the Galactic bulge and disk from the OGLE survey. | SOSZYNSKI I., UDALSKI A., WRONA M., et al. | ||
| 2020AcA....70..121P | 16 | D | 1 | 80166 | ~ | Properties of the Milky Way's old populations based on photometric metallicities of the OGLE RR Lyrae stars. | PIETRUKOWICZ P., UDALSKI A., SOSZYNSKI I., et al. | ||
|
2023A&A...674A..18C
|
17 | D | 1 | 271810 | 30 | Gaia Data Release 3 Specific processing and validation of all-sky RR Lyrae and Cepheid stars: The RR Lyrae sample. | CLEMENTINI G., RIPEPI V., GAROFALO A., et al. |
