KOI-1901 , the SIMBAD biblio

KOI-1901 , the SIMBAD biblio (29 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST23:36:55

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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
2012ApJS..199...24T viz 15       D               1 5394 66 Detection of potential transit signals in the first three quarters of Kepler mission data. TENENBAUM P., CHRISTIANSEN J.L., JENKINS J.M., et al.
2012ApJ...756..185F viz 15       D               1 1856 44 Transit timing observations from Kepler. V. Transit timing variation candidates in the first sixteen months from polynomial models. FORD E.B., RAGOZZINE D., ROWE J.F., et al.
2013ApJS..204...24B viz 16       D               1 3274 922 Planetary candidates observed by Kepler. III. Analysis of the first 16 months of data. BATALHA N.M., ROWE J.F., BRYSON S.T., et al.
2013ApJ...775L..11M viz 16       D               1 2010 189 Stellar rotation periods of the Kepler Objects of Interest: a dearth of close-in planets around fast rotators. McQUILLAN A., MAZEH T. and AIGRAIN S.
2013ApJS..208...16M viz 16       D               1 1518 139 Transit timing observations from Kepler. VIII. Catalog of transit timing measurements of the first twelve quarters. MAZEH T., NACHMANI G., HOLCZER T., et al.
2013MNRAS.436.1883W viz 16       D               1 961 136 Rotation periods, variability properties and ages for Kepler exoplanet candidate host stars. WALKOWICZ L.M. and BASRI G.S.
2014ApJS..210...19B viz 16       D               1 5860 211 Planetary candidates observed by Kepler IV: planet sample from Q1-Q8 (22 months). BURKE C.J., BRYSON S.T., MULLALLY F., et al.
2014AJ....147..119C viz 16       D               1 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.
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...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.
2015ApJ...807..170H viz 16       D               1 2117 10 Time variation of Kepler transits induced by stellar Spots–A way to distinguish between prograde and retrograde motion. II. Application to KOIs. HOLCZER T., SHPORER A., MAZEH T., et al.
2015ApJ...809....8B viz 16       D               1 112329 282 Terrestrial planet occurrence rates for the Kepler GK dwarf sample. BURKE C.J., CHRISTIANSEN J.L., MULLALLY F., et al.
2015ApJ...814..130M viz 16       D               1 2846 162 An increase in the mass of planetary systems around lower-mass stars. MULDERS G.D., PASCUCCI I. and APAI D.
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.
2016ApJS..225....9H viz 16       D               1 2132 124 Transit timing observations from Kepler. IX. Catalog of the full long-cadence data set. HOLCZER T., MAZEH T., NACHMANI G., et al.
2017AJ....153...71F viz 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.
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.
2017AJ....154..107P viz 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 viz 16       D               1 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.
2018ApJ...855..115B viz 16       D               1 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 viz 16       D               1 1073 143 Inferring probabilistic stellar rotation periods using Gaussian processes. ANGUS R., MORTON T., AIGRAIN S., et al.
2018AJ....155..161Z viz 16       D               2 1274 24 Robo-AO Kepler survey. IV. The effect of nearby stars on 3857 planetary candidate systems. ZIEGLER C., LAW N.M., BARANEC C., et al.
2018ApJ...861..149F viz 16       D               1 2261 6 The Kepler Follow-up Observation Program. II. Stellar parameters from medium- and high-resolution spectroscopy. FURLAN E., CIARDI D.R., COCHRAN W.D., et al.
2018ApJS..237...38B viz 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..292T viz 58       D     X         2 647 8 The effects of stellar companions on the observed transiting exoplanet radius distribution. TESKE J.K., CIARDI D.R., HOWELL S.B., et al.
2019ApJ...875...29M viz 17       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.
2020ApJ...890...23L viz 17       D               1 4935 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.
2021ApJ...920...19G viz 17       D               1 807 5 A spectroscopic analysis of the California-Kepler Survey sample. II. Correlations of stellar metallicities with planetary architectures. GHEZZI L., MARTINEZ C.F., WILSON R.F., et al.
2022ApJ...926..120V 18       D               1 645 13 ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets. VALIZADEGAN H., MARTINHO M.J.S., WILKENS L.S., et al.

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