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| 2MASS J19142029+5055317 , the SIMBAD biblio (15 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST01:55:52 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2016A&A...594A..39F |
16 | D | 2 | 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. | ||
|
2018ApJ...852...49H |
16 | D | 1 | 1325 | 118 | Disentangling the Galactic halo with APOGEE. I. Chemical and kinematical investigation of distinct metal-poor populations. | HAYES C.R., MAJEWSKI S.R., SHETRONE M., et al. | ||
|
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. | ||
|
2021ApJ...912...72M |
268 | D | X | 7 | 32 | 16 | Star formation timescales of the halo populations from asteroseismology and chemical abundances. | MATSUNO T., AOKI W., CASAGRANDE L., et al. | |
|
2021NatAs...5..640M |
17 | D | 1 | 97 | 65 | Chronologically dating the early assembly of the Milky Way. | MONTALBAN J., MACKERETH J.T., MIGLIO A., et al. | ||
|
2022AJ....163..152S |
17 | D | 1 | 583193 | 11 | APOGEE Net: An Expanded Spectral Model of Both Low-mass and High-mass Stars. | SPRAGUE D., CULHANE C., KOUNKEL M., et al. | ||
|
2022ApJS..259...35A |
17 | D | 1 | 611005 | 320 | The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data. | ABDURRO'UF, ACCETTA K., AERTS C., et al. | ||
| 2022MNRAS.514.2527B | 17 | D | 2 | 73 | 12 | Age determination of galaxy merger remnant stars using asteroseismology. | BORRE C.C., AGUIRRE BORSEN-KOCH V., HELMI A., et al. | ||
| 2023ApJ...953..143F | 17 | D | 1 | 47 | ~ | The Metal-weak Milky Way Stellar Disk Hidden in the Gaia-Sausage-Enceladus Debris: The APOGEE DR17 View. | FELTZING S. and FEUILLET D. | ||
| 2024MNRAS.528.3232P | 179 | C F | 2 | 6 | ~ | Spectroscopic identification of rapidly rotating red giant stars in APOKASC-3 and APOGEE DR16. | PATTON R.A., PINSONNEAULT M.H., CAO L., et al. | ||
|
2024A&A...691A.333E |
18 | D | 1 | 76 | ~ | Gaia-Sausage-Enceladus star formation history as revealed by detailed elemental abundances An archival study using SAGA data. | ERNANDES H., FEUILLET D., FELTZING S., et al. |