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| KOI-5569 , the SIMBAD biblio (28 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST04:12:48 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2012ApJS..199...24T |
15 | D | 1 | 5394 | 66 | Detection of potential transit signals in the first three quarters of Kepler mission data. | TENENBAUM P., CHRISTIANSEN J.L., JENKINS J.M., et al. | ||
| 2013ApJ...767...82G | 15 | D | 2 | 72 | 56 | Red giants in eclipsing binary and multiple-star systems: modeling and asteroseismic analysis of 70 candidates from Kepler data. | GAULME P., McKEEVER J., RAWLS M.L., et al. | ||
|
2015ApJ...801....3M |
16 | D | 1 | 3357 | 109 | Photometric amplitude distribution of stellar rotation of KOIs–Indication for spin-orbit alignment of cool stars and high obliquity for hot stars. | MAZEH T., PERETS H.B., McQUILLAN A., et al. | ||
|
2016AJ....151..101A |
16 | D | 1 | 447 | 17 | Kepler eclipsing binary stars. VIII. Identification of false positive eclipsing binaries and re-extraction of new light curves. | ABDUL-MASIH M., PRSA A., CONROY K., et al. | ||
|
2016ApJ...822...86M |
16 | D | 1 | 6130 | 337 | False positive probabilities for all Kepler objects of interest: 1284 newly validated planets and 428 likely false positives. | MORTON T.D., BRYSON S.T., COUGHLIN J.L., 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. | ||
|
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.465.2634A |
16 | D | 1 | 5400 | 21 | Transit shapes and self-organizing maps as a tool for ranking planetary candidates: application to Kepler and K2. | ARMSTRONG D.J., POLLACCO D. and SANTERNE A. | ||
|
2017MNRAS.469.4578H |
16 | D | 1 | 8666 | 48 | Deep learning classification in asteroseismology. | HON M., STELLO D. and YU J. | ||
|
2018ApJS..234....9O |
16 | D | 1 | 436 | 14 | A spectral approach to transit timing variations. | OFIR A., XIE J.-W., JIANG C.-F., et al. | ||
|
2018ApJS..235....5Q |
16 | D | 4 | 2048 | 72 | Physical properties and evolutionary states of EA-type eclipsing binaries observed by LAMOST. | QIAN S.-B., ZHANG J., HE J.-J., 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. | ||
|
2019AJ....157..171K |
16 | D | 1 | 4069 | 2 | Visual analysis and demographics of Kepler transit timing variations. | KANE M., RAGOZZINE D., FLOWERS X., et al. | ||
| 2019MNRAS.487.2455O | 16 | D | 1 | 98 | ~ | Solving eclipsing binaries with a solar-like pulsator via Kepler data. | OU J.-W., YANG M., LIU H.-G., 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. | ||
|
2020ApJ...888...34S |
16 | D | 1 | 310 | ~ | ROBO-AO Kepler asteroseismic survey. II. Do stellar companions inhibit stellar oscillations? | SCHONHUT-STASIK J., HUBER D., BARANEC C., 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. | ||
|
2020ApJS..251...15Z |
16 | D | 1 | 20886 | 38 | Phase II of the LAMOST-Kepler/K2 survey. I. Time series of medium-resolution Spectroscopic observations. | ZONG W., FU J.-N., DE CAT P., et al. | ||
| 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. | ||
|
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. | ||
|
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. |