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| KOI-7418 , the SIMBAD biblio (17 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST01:25:29 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
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.469.4578H |
16 | D | 1 | 8666 | 48 | Deep learning classification in asteroseismology. | HON M., STELLO D. and YU J. | ||
|
2018AJ....155..161Z |
16 | D | 1 | 1274 | 24 | Robo-AO Kepler survey. IV. The effect of nearby stars on 3857 planetary candidate systems. | ZIEGLER C., LAW N.M., BARANEC C., 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. | ||
|
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. | ||
|
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..128W |
17 | D | 1 | 1570 | 6 | The influence of 10 unique chemical elements in shaping the distribution of Kepler planets. | WILSON R.F., CANAS C.I., MAJEWSKI S.R., 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. | ||
|
2022ApJ...929...33H |
17 | D | 1 | 114072 | 2 | Quantifying Chemical and Kinematical Properties of Galactic Disks. | HU G. and SHAO Z. | ||
|
2023ApJS..265...50C |
17 | D | 1 | 2291 | ~ | Characterization of Low-mass Companions to Kepler Objects of Interest Observed with APOGEE-N. | CANAS C.I., BENDER C.F., MAHADEVAN S., et al. | ||
|
2023ApJ...950..142H |
17 | D | 1 | 26076 | ~ | Angular Momentum Variation of the Milky Way Thick Disk: The Dependence of Chemical Abundance and Evidence of the Inside-out Formation Scenario. | HU G., SHAO Z. and LI L. | ||
|
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. |