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| KOI-6526 , the SIMBAD biblio (14 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST02:15:45 |
| 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. | ||
|
2017AJ....153...66Z |
16 | D | 1 | 1663 | 45 | Robo-AO Kepler Planetary Candidate Survey. III. Adaptive optics imaging of 1629 Kepler exoplanet candidate host stars. | ZIEGLER C., LAW N.M., MORTON T., et al. | ||
|
2017AJ....153...71F |
16 | D | 1 | 3575 | 164 | The Kepler follow-up observation program. I. A catalog of companions to Kepler stars from high-resolution imaging. | FURLAN E., CIARDI D.R., EVERETT M.E., et al. | ||
|
2016PASP..128g4502M |
16 | D | 1 | 305 | 14 | Identifying false alarms in the Kepler planet candidate catalog. | MULLALLY F., COUGHLIN J.L., THOMPSON S.E., 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. | ||
|
2018ApJ...866...99B |
16 | D | 1 | 7129 | 233 | Revised radii of Kepler stars and planet's using Gaia Data Release 2. | BERGER T.A., HUBER D., GAIDOS E., et al. | ||
|
2019MNRAS.488..572K |
16 | D | 2 | 95 | ~ | Bayesian hierarchical inference of asteroseismic inclination angles. | KUSZLEWICZ J.S., CHAPLIN W.J., NORTH T.S.H., et al. | ||
|
2020ApJ...890...23L |
16 | D | 1 | 4936 | 35 | Current population statistics do not favor photoevaporation over core-powered mass loss as the dominant cause of the exoplanet radius gap. | LOYD R.O.P., SHKOLNIK E.L., SCHNEIDER A.C., et al. | ||
|
2020AJ....160..108B |
16 | D | 1 | 6855 | 109 | The Gaia-Kepler stellar properties catalog. II. Planet radius demographics as a function of stellar mass and age. | BERGER T.A., HUBER D., GAIDOS E., et al. | ||
|
2021A&A...645A.124G |
17 | D | 2 | 1202 | 13 | Automated approach to measure stellar inclinations: validation through large-scale measurements on the red giant branch. | GEHAN C., MOSSER B., MICHEL E., et al. | ||
|
2022NatAs...6..367K |
17 | D | 1 | 87 | 26 | An exomoon survey of 70 cool giant exoplanets and the new candidate Kepler-1708 b-i. | KIPPING D., BRYSON S., BURKE C., et al. | ||
|
2024A&A...691A..53S |
18 | D | 1 | 4078 | ~ | SWEET-Cat: A view on the planetary mass-radius relation. | SOUSA S.G., ADIBEKYAN V., DELGADO-MENA E., et al. |