Exoplanet validation with machine learning: 50 new validated Kepler planets

ABSTRACT Over 30 per cent of the $\sim$4000 known exoplanets to date have been discovered using ‘validation’, where the statistical likelihood of a transit arising from a false positive (FP), non-planetary scenario is calculated. For the large majority of these validated planets calculations were pe...

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Bibliographic Details

Published in:	Monthly notices of the Royal Astronomical Society Vol. 504; no. 4; pp. 5327 - 5344
Main Authors:	Armstrong, David J, Gamper, Jevgenij, Damoulas, Theodoros
Format:	Journal Article
Language:	English
Published:	Oxford University Press 01.07.2021
Subjects:	methods: statistical methods: data analysis planets and satellites: general planets and satellites: detection
ISSN:	0035-8711, 1365-2966
Online Access:	Get full text
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