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KIC 6207287 , the SIMBAD biblio (8 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST13:57:41 |
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 |
---|---|---|---|---|---|---|---|---|---|
2014ApJ...787..110C | 16 | D | 1 | 996 | 100 | Stromgren survey for Asteroseismology and Galactic Archaeology: let the SAGA begin. | CASAGRANDE L., SILVA AGUIRRE V., STELLO D., et al. | ||
2016AJ....152....6W | 16 | D | 1 | 3060 | 13 | Calibration of LAMOST stellar surface gravities using the Kepler asteroseismic data. | WANG L., WANG W., WU Y., et al. | ||
2016A&A...594A..39F | 16 | D | 1 | 51408 | 86 | Activity indicators and stellar parameters of the Kepler targets. An application of the ROTFIT pipeline to LAMOST-Kepler stellar spectra. | FRASCA A., MOLENDA-ZAKOWICZ J., DE CAT P., et al. | ||
2017MNRAS.469.4578H | 16 | D | 1 | 8666 | 48 | Deep learning classification in asteroseismology. | HON M., STELLO D. and YU J. | ||
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. | ||
2021AJ....161..170S | 17 | D | 1 | 16187 | ~ | The Swan: data-driven inference of stellar surface gravities for cool stars from photometric light curves. | SAYEED M., HUBER D., WHEELER A., et al. |