Identifying exoplanets with deep learning. III, Automated triage and vetting of TESS candidates

Identifying exoplanets with deep learning. III, Automated triage and vetting of TESS candidates

NASA's Transiting Exoplanet Survey Satellite (TESS) presents us with an unprecedented volume of space-based photometric observations that must be analyzed in an efficient and unbiased manner. With at least ∼1,000,000 new light curves generated every month from full-frame images alone, automated...

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Main Authors: Yu, Liang (Author), Huang, Chelsea (Author), Crossfield, Ian (Author), Daylan, Tansu (Author), Ricker, George R. (Author), Vanderspek, Roland K. (Author), Latham, David W. (Author), Seager, Sara (Author), Glidden, Ana (Author)
Format: Article
Language:English
Published: American Astronomical Society, 2020-04-17T01:52:13Z.
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