Identifying Exoplanets with Deep Learning. V. Improved Light-curve Classification for TESS Full-frame Image Observations

Identifying Exoplanets with Deep Learning. V. Improved Light-curve Classification for TESS Full-frame Image Observations

The TESS mission produces a large amount of time series data, only a small fraction of which contain detectable exoplanetary transit signals. Deep-learning techniques such as neural networks have proved effective at differentiating promising astrophysical eclipsing candidates from other phenomena su...

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Bibliographic Details
Main Authors: Evan Tey, Dan Moldovan, Michelle Kunimoto, Chelsea X. Huang, Avi Shporer, Tansu Daylan, Daniel Muthukrishna, Andrew Vanderburg, Anne Dattilo, George R. Ricker, S. Seager
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astronomical Journal
Subjects:
Neural networks
Transit photometry
Exoplanet detection methods
Exoplanet catalogs
Online Access:https://doi.org/10.3847/1538-3881/acad85

Internet

https://doi.org/10.3847/1538-3881/acad85

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