Short-period Variables in TESS Full-frame Image Light Curves Identified via Convolutional Neural Networks

Short-period Variables in TESS Full-frame Image Light Curves Identified via Convolutional Neural Networks

The Transiting Exoplanet Survey Satellite (TESS) mission measured light from stars in ∼85% of the sky throughout its 2 yr primary mission, resulting in millions of TESS 30-minute-cadence light curves to analyze in the search for transiting exoplanets. To search this vast data set, we aim to provide...

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Bibliographic Details
Main Authors: Greg Olmschenk, Richard K. Barry, Stela Ishitani Silva, Jeremy D. Schnittman, Agnieszka M. Cieplak, Brian P. Powell, Ethan Kruse, Thomas Barclay, Siddhant Solanki, Bianca Ortega, John Baker, Mamani Yesenia Helem Salinas
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astronomical Journal
Subjects:
Convolutional neural networks
Neural networks
Delta Scuti variable stars
Close binary stars
Binary stars
Short period variable stars
Online Access:https://doi.org/10.3847/1538-3881/ad55f1

Internet

https://doi.org/10.3847/1538-3881/ad55f1

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