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| KOI-7684 , the SIMBAD biblio (16 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST01:07:40 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2015ApJ...809....8B |
16 | D | 1 | 112329 | 282 | Terrestrial planet occurrence rates for the Kepler GK dwarf sample. | BURKE C.J., CHRISTIANSEN J.L., MULLALLY F., 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. | ||
|
2017A&A...605A.111C |
16 | D | 1 | 531 | 81 | Surface rotation of Kepler red giant stars. | CEILLIER T., TAYAR J., MATHUR 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. | ||
|
2018AJ....156...18P |
16 | D | 1 | 51824 | 872 | Binary companions of evolved stars in APOGEE DR14: search method and catalog of ∼5000 companions. | PRICE-WHELAN A.M., HOGG D.W., RIX H.-W., et al. | ||
|
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. | ||
|
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. | ||
|
2020AJ....160..120J |
16 | D | 1 | 365763 | 238 | APOGEE data and spectral analysis from SDSS Data Release 16: seven years of observations including first results from APOGEE-South. | JONSSON H., HOLTZMAN J.A., ALLENDE PRIETO C., 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. | ||
| 2021MNRAS.504.5327A | 17 | D | 1 | 7000 | 19 | Exoplanet validation with machine learning: 50 new validated Kepler planets. | ARMSTRONG D.J., GAMPER J. and DAMOULAS T. | ||
|
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. | ||
|
2022ApJ...929...33H |
17 | D | 1 | 114072 | 2 | Quantifying Chemical and Kinematical Properties of Galactic Disks. | HU G. and SHAO Z. | ||
|
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. |