KOI-5397 , the SIMBAD biblio

KOI-5397 , the SIMBAD biblio (17 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST22:23:27


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Title First 3 Authors
2015ApJ...801....3M viz 16       D               1 3357 109 Photometric amplitude distribution of stellar rotation of KOIs–Indication for spin-orbit alignment of cool stars and high obliquity for hot stars. MAZEH T., PERETS H.B., McQUILLAN A., et al.
2015ApJS..217...31M viz 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.
2016ApJ...822...86M viz 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.
2016ApJ...823..114N viz 16       D               1 72935 173 Spectroscopic determination of masses (and implied ages) for red giants. NESS M., HOGG D.W., RIX H.-W., et al.
2016MNRAS.460.3179W viz 16       D               1 77460 19 Distance and extinction determination for APOGEE stars with Bayesian method. WANG J., SHI J., PAN K., et al.
2017MNRAS.465.2634A viz 16       D               2 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 viz 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 viz 16       D               1 8666 48 Deep learning classification in asteroseismology. HON M., STELLO D. and YU J.
2018MNRAS.476.3233H viz 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 viz 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...879...69T viz 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 viz 16       D               1 121537 14 The age distribution of stars in the Milky Way bulge. SIT T. and NESS M.K.
2022AJ....163..152S viz 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 viz 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.
2023A&A...674A..34G viz 17       D               1 307215 85 Gaia Data Release 3 Stellar multiplicity, a teaser for the hidden treasure. GAIA COLLABORATION, ARENOU F., BABUSIAUX C., et al.
2023A&A...678A.158A viz 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...682A...7B viz 18       D               1 2137 ~ Constraining stellar and orbital co-evolution through ensemble seismology of solar-like oscillators in binary systems A census of oscillating red giants and dwarf stars in Gaia DR3 binaries. BECK P.G., GROSSMANN D.H., STEINWENDER L., et al.

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