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| KOI-3250 , the SIMBAD biblio (20 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST02:40:27 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2014AJ....147...45C |
15 | D | 1 | 1280 | 133 | Kepler eclipsing binary stars. IV. Precise eclipse times for close binaries and identification of candidate three-body systems. | CONROY K.E., PRSA A., STASSUN K.G., et al. | ||
|
2014MNRAS.437.3473A |
15 | D | 1 | 2614 | 45 | A catalogue of temperatures for Kepler eclipsing binary stars. | ARMSTRONG D.J., GOMEZ MAQUEO CHEW Y., FAEDI F., et al. | ||
|
2014AJ....147..119C |
15 | D | 2 | 8013 | 91 | Contamination in the Kepler field. Identification of 685 KOIs as false positives via ephemeris matching based on Q1-Q12 data. | COUGHLIN J.L., THOMPSON S.E., BRYSON S.T., et al. | ||
|
2015ApJS..217...16R |
16 | D | 1 | 8625 | 149 | Planetary candidates observed by Kepler. V. Planet sample from Q1-Q12 (36 months). | ROWE J.F., COUGHLIN J.L., ANTOCI V., 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. | ||
|
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. | ||
|
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. | ||
|
2019ApJ...872..137S |
16 | D | 1 | 26099 | 39 | Constraining metallicity-dependent mixing and extra mixing using [C/N] in alpha-rich field giants. | SHETRONE M., TAYAR J., JOHNSON J.A., 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...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. | ||
|
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. | ||
|
2022ApJS..258...16P |
17 | D | 1 | 4582 | 43 | TESS Eclipsing Binary stars. I. Short-cadence observations of 4584 eclipsing binaries in sectors 1-26. | PRSA A., KOCHOSKA A., CONROY K.E., 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. | ||
|
2023ApJS..264...17Z |
17 | D | 1 | 31380 | 1 | Stellar Parameters and Spectroscopic Properties of TESS Objects Observed in the LAMOST Low- and Medium-resolution Spectral Survey. | ZHANG L.-Y., SU T., MISRA P., et al. |