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| KOI-3244 , the SIMBAD biblio (40 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST01:22:25 |
| 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..119C |
15 | D | 1 | 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...68K |
16 | D | 2 | 2915 | 316 | Kepler eclipsing binary stars. VII. The catalog of eclipsing binaries found in the entire Kepler data set. | KIRK B., CONROY K., PRSA A., 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. | ||
|
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. | ||
|
2017AJ....154..107P |
16 | D | 1 | 1306 | 226 | The California-Kepler Survey. I. High-resolution spectroscopy of 1305 stars hosting Kepler transiting planets. | PETIGURA E.A., HOWARD A.W., MARCY G.W., et al. | ||
|
2017AJ....154..108J |
16 | D | 2 | 3237 | 137 | The California-Kepler Survey. II. Precise physical properties of 2025 Kepler planets and their host stars. | JOHNSON J.A., PETIGURA E.A., FULTON B.J., et al. | ||
|
2017MNRAS.469.4578H |
16 | D | 1 | 8666 | 48 | Deep learning classification in asteroseismology. | HON M., STELLO D. and YU J. | ||
|
2018ApJ...855..115B |
16 | D | 2 | 1305 | 5 | Identifying young Kepler planet host stars from Keck-HIRES spectra of lithium. | BERGER T.A., HOWARD A.W. and BOESGAARD A.M. | ||
|
2018MNRAS.474.2094A |
16 | D | 1 | 1073 | 143 | Inferring probabilistic stellar rotation periods using Gaussian processes. | ANGUS R., MORTON T., AIGRAIN S., et al. | ||
|
2018ApJS..235....5Q |
16 | D | 5 | 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. | ||
|
2018ApJS..237...38B |
16 | D | 1 | 1111 | 42 | Spectral properties of cool stars: extended abundance analysis of Kepler Objects of Interest. | BREWER J.M. and FISCHER D.A. | ||
|
2018AJ....156..264F |
16 | D | 1 | 1909 | 365 | The California-Kepler Survey. VII. Precise planet radii leveraging Gaia DR2 reveal the stellar mass dependence of the Planet radius gap. | FULTON B.J. and PETIGURA E.A. | ||
|
2019ApJ...875...29M |
16 | D | 1 | 2918 | 72 | A spectroscopic analysis of the California-Kepler Survey sample. I. Stellar parameters, planetary radii, and a slope in the radius gap. | MARTINEZ C.F., CUNHA K., GHEZZI L., 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. | ||
|
2019A&A...630A.106G |
16 | D | 1 | 308 | 39 | Systematic search for stellar pulsators in the eclipsing binaries observed by Kepler. | GAULME P. and GUZIK J.A. | ||
|
2019ApJS..244...43Z |
16 | D | 1 | 1328 | 22 | Unbiased distribution of binary parameters from LAMOST and Kepler observations. | ZHANG J., QIAN S.-B., WU Y., et al. | ||
|
2020A&A...639A..63G |
16 | D | 1 | 4575 | 22 | Active red giants: Close binaries versus single rapid rotators. | GAULME P., JACKIEWICZ J., SPADA F., 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..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. | ||
|
2022AJ....163..179P |
17 | D | 1 | 2962 | 39 | The California-Kepler Survey. X. The Radius Gap as a Function of Stellar Mass, Metallicity, and Age. | PETIGURA E.A., ROGERS J.G., ISAACSON H., 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. | ||
|
2022ApJ...929...33H |
17 | D | 1 | 114072 | 2 | Quantifying Chemical and Kinematical Properties of Galactic Disks. | HU G. and SHAO Z. | ||
|
2022A&A...663A...4S |
17 | D | 1 | 14206 | 7 | Assessment of [Fe/H] determinations for FGK stars in spectroscopic surveys. | SOUBIRAN C., BROUILLET N. and CASAMIQUELA L. | ||
|
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. | ||
| 2022A&A...667A..31B | 17 | D | 1 | 196 | 4 | 99 oscillating red-giant stars in binary systems with NASA TESS and NASA Kepler identified from the SB9-Catalogue. | BECK P.G., MATHUR S., HAMBLETON K., et al. | ||
|
2023ApJ...944L...5M |
17 | D | 1 | 1240 | 3 | Lithium Abundances in Giants as a Function of Stellar Mass: Evidence for He Flash as the Source of Li Enhancement in Low-mass Giants. | MALLICK A., SINGH R. and REDDY B.E. | ||
|
2023ApJS..266...28L |
17 | D | 1 | 161 | ~ | Modeling and Orbital Parameters of Kepler Heartbeat Stars. | LI M.-Y., QIAN S.-B., ZHU L.-Y., 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. | ||
|
2024A&A...685A..62I |
18 | D | 1 | 2906 | ~ | Automated eccentricity measurement from raw eclipsing binary light curves with intrinsic variability. | IJSPEERT L.W., TKACHENKO A., JOHNSTON C., et al. | ||
|
2024A&A...686A..93G |
18 | D | 1 | 4574 | ~ | Magnetic activity of red giants: Correlation between the amplitude of solar-like oscillations and chromospheric indicators. | GEHAN C., GODOY-RIVERA D. and GAULME P. |