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| TYC 3162-1018-1 , the SIMBAD biblio (16 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST01:35:16 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2010AstL...36..338F |
15 | D | 1 | 1150 | 6 | Proper motions and CCD photometry of stars in the region of the open cluster NGC 6866. | FROLOV V.N., ANANJEVSKAJA Y.K., GORSHANOV D.L., et al. | ||
|
2015MNRAS.453.1095B |
16 | D | 1 | 739 | 12 | A comprehensive study of the open cluster NGC 6866. | BOSTANCI Z.F., AK T., YONTAN T., et al. | ||
|
2016ApJ...823..114N |
16 | D | 1 | 72935 | 173 | Spectroscopic determination of masses (and implied ages) for red giants. | NESS M., HOGG D.W., RIX H.-W., et al. | ||
|
2016MNRAS.460.3179W |
16 | D | 1 | 77460 | 19 | Distance and extinction determination for APOGEE stars with Bayesian method. | WANG J., SHI J., PAN K., et al. | ||
|
2017MNRAS.469.4578H |
16 | D | 1 | 8666 | 48 | Deep learning classification in asteroseismology. | HON M., STELLO D. and YU J. | ||
|
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. | ||
|
2018A&A...615A..49C |
16 | D | 1 | 224763 | 54 | Characterising open clusters in the solar neighbourhood with the Tycho-Gaia Astrometric Solution. | CANTAT-GAUDIN T., VALLENARI A., SORDO R., et al. | ||
|
2019ApJ...879...69T |
16 | D | 1 | 222610 | 141 | The Payne: self-consistent ab initio fitting of stellar spectra. | TING Y.-S., CONROY C., RIX H.-W., et al. | ||
|
2020A&A...639A..63G |
16 | D | 1 | 4575 | 22 | Active red giants: Close binaries versus single rapid rotators. | GAULME P., JACKIEWICZ J., SPADA F., et al. | ||
|
2020ApJ...900....4S |
16 | D | 1 | 121537 | 14 | The age distribution of stars in the Milky Way bulge. | SIT T. and NESS M.K. | ||
|
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. | ||
|
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. | ||
|
2023A&A...678A.158A |
17 | D | 1 | 171655 | ~ | Spectroscopic age estimates for APOGEE red-giant stars: Precise spatial and kinematic trends with age in the Galactic disc. | ANDERS F., GISPERT P., RATCLIFFE B., et al. | ||
|
2024A&A...686A..93G |
18 | D | 1 | 4574 | ~ | Magnetic activity of red giants: Correlation between the amplitude of solar-like oscillations and chromospheric indicators. | GEHAN C., GODOY-RIVERA D. and GAULME P. |