|
other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
| UCAC4 698-070451 , the SIMBAD biblio (14 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST22:48:00 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2015ApJS..217...31M |
16 | D | 1 | 2033 | 213 | Planetary candidates observed by Kepler. VI. Planet sample from Q1–Q16 (47 months). | MULLALLY F., COUGHLIN J.L., THOMPSON S.E., 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.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. | ||
|
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. | ||
|
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. | ||
|
2022ApJ...927..167L |
17 | D | 2 | 3663 | 12 | Asteroseismology of 3642 Kepler Red Giants: Correcting the Scaling Relations Based on Detailed Modeling. | LI T., LI Y., BI S., 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. | ||
|
2022NatAs...6..367K |
85 | C | 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. | ||
|
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. | ||
|
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. |