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| UCAC4 679-069585 , the SIMBAD biblio (6 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST12:23:41 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
2018MNRAS.475.3633W 
|
16 | D | 1 | 3727 | 38 | Mass and age of red giant branch stars observed with LAMOST and Kepler. | WU Y., XIANG M., BI S., et al. | ||
|
2018MNRAS.476.3233H
|
16 | D | 1 | 15009 | 17 | Deep learning classification in asteroseismology using an improved neural network: results on 15 000 Kepler red giants and applications to K2 and TESS data. | HON M., STELLO D. and YU J. | ||
|
2018ApJS..236...42Y
|
16 | D | 1 | 16097 | 158 | Asteroseismology of 16,000 Kepler red giants: global oscillation parameters, masses, and radii. | YU J., HUBER D., BEDDING T.R., et al. | ||
|
2019MNRAS.488..572K
|
16 | D | 1 | 95 | ~ | Bayesian hierarchical inference of asteroseismic inclination angles. | KUSZLEWICZ J.S., CHAPLIN W.J., NORTH T.S.H., et al. | ||
|
2021A&A...645A.124G
|
17 | D | 1 | 1202 | 13 | Automated approach to measure stellar inclinations: validation through large-scale measurements on the red giant branch. | GEHAN C., MOSSER B., MICHEL E., et al. | ||
|
2022A&A...664A..78F
|
17 | D | 1 | 7452 | 7 | Characterization of Kepler targets based on medium-resolution LAMOST spectra analyzed with ROTFIT,. | FRASCA A., MOLENDA-ZAKOWICZ J., ALONSO-SANTIAGO J., et al. |
