KOI-3250 , the SIMBAD biblio

KOI-3250 , the SIMBAD biblio (16 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST16:29:39

Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
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...45C viz 16       D               1 1280 133 Kepler eclipsing binary stars. IV. Precise eclipse times for close binaries and identification of candidate three-body systems. CONROY K.E., PRSA A., STASSUN K.G., et al.
2014MNRAS.437.3473A viz 16       D               1 2614 45 A catalogue of temperatures for Kepler eclipsing binary stars. ARMSTRONG D.J., GOMEZ MAQUEO CHEW Y., FAEDI F., et al.
2014AJ....147..119C viz 16       D               2 8010 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 viz 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..101A viz 16       D               1 447 17 Kepler eclipsing binary stars. VIII. Identification of false positive eclipsing binaries and re-extraction of new light curves. ABDUL-MASIH M., PRSA A., CONROY K., 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.
2017MNRAS.465.2634A viz 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 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...872..137S viz 17       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.
2019MNRAS.487.2455O 17       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 viz 17       D               1 222609 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 17       D               1 121537 14 The age distribution of stars in the Milky Way bulge. SIT T. and NESS M.K.
2021NatAs...5..640M viz 17       D               1 97 65 Chronologically dating the early assembly of the Milky Way. MONTALBAN J., MACKERETH J.T., MIGLIO A., et al.
2022ApJS..258...16P viz 18       D               1 4579 43 TESS Eclipsing Binary stars. I. Short-cadence observations of 4584 eclipsing binaries in sectors 1-26. PRSA A., KOCHOSKA A., CONROY K.E., et al.

goto View the references in ADS