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AI approach uncovers dozens of hidden planets in NASA’s TESS data


mers at the University of Warwick have validated over 100 exoplanets, including 31 newly detected planets, using a new artificial intelligence tool applied to data from NASA’s Transiting Exoplanet Survey Satellite (TESS), a space mission that monitors the sky for the subtle dimming of starlight caused when planets pass in front of their host stars. Published in MNRAS, the team applied their newly developed AI pipeline called RAVEN to observations of over 2.2 million stars collected during TESS’s first four years of operations.

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