KOI-7263 , the SIMBAD biblio

KOI-7263 , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST23:40:21


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in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
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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.
2012AJ....143..101M viz 15       D               1 253 43 The classification of Kepler B-star variables. McNAMARA B.J., JACKIEWICZ J. and McKEEVER J.
2013A&A...557L..10N viz 15       D               1 12151 189 Rotation periods of 12000 main-sequence Kepler stars: dependence on stellar spectral type and comparison with v sin i observations. NIELSEN M.B., GIZON L., SCHUNKER H., et al.
2013A&A...560A...4R viz 15       D               1 24132 291 Rotation and differential rotation of active Kepler stars. REINHOLD T., REINERS A. and BASRI G.
2015MNRAS.451.1445B 94       D         F     2 151 40 Analysis of Kepler B stars: rotational modulation and Maia variables. BALONA L.A., BARAN A.S., DASZYNSKA-DASZKIEWICZ J., et al.
2015A&A...583A..65R viz 16       D               1 20938 134 Rotation, differential rotation, and gyrochronology of active Kepler stars. REINHOLD T. and GIZON L.
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.
2016A&A...594A..39F viz 16       D               2 51408 86 Activity indicators and stellar parameters of the Kepler targets. An application of the ROTFIT pipeline to LAMOST-Kepler stellar spectra. FRASCA A., MOLENDA-ZAKOWICZ J., DE CAT P., et al.
2017MNRAS.467.1830B viz 16       D               1 642 26 Starspots on A stars. BALONA L.A.
2018A&A...615A..49C viz 16       D               1 224763 54 Characterising open clusters in the solar neighbourhood with the Tycho-Gaia Astrometric Solution. CANTAT-GAUDIN T., VALLENARI A., SORDO R., et al.
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.
2022ApJS..259...63S viz 17       D               1 10269 2 Objective Separation between CP1 and CP2 Based on Feature Extraction with Machine Learning. SHANG L.-H., LUO A.-L., WANG L., et al.

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