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...

Full description

Bibliographic Details
Main Authors: Yu, Liang, Huang, Chelsea, Crossfield, Ian, Daylan, Tansu, Ricker, George R., Vanderspek, Roland K., Latham, David W., Seager, Sara, Glidden, Ana
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: American Astronomical Society 2020
Online Access:https://hdl.handle.net/1721.1/124704

Internet

https://hdl.handle.net/1721.1/124704

Similar Items