KOI-6136 , the SIMBAD biblio

KOI-6136 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.24CEST11:48:08

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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.
2013MNRAS.431.2240B viz 16       D               1 900 128 Activity in A-type stars. BALONA L.A.
2013A&A...557L..10N viz 16       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 16       D               1 24132 291 Rotation and differential rotation of active Kepler stars. REINHOLD T., REINERS A. and BASRI G.
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.
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.
2018A&A...619A..98H 469       D     X C       11 70 27 The Kepler view of magnetic chemically peculiar stars. HUMMERICH S., MIKULASEK Z., PAUNZEN E., et al.
2019MNRAS.485.2380M viz 17       D               1 14330 108 Gaia-derived luminosities of Kepler A/F stars and the pulsator fraction across the δ Scuti instability strip. MURPHY S.J., HEY D., VAN REETH T., et al.
2022ApJS..259...63S viz 18       D               1 10264 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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