Short-Period Variables in TESS Full-Frame Image Light Curves Identified via Convolutional Neural Networks

arXiv:2402.12369v1 Announce Type: cross
Abstract: The Transiting Exoplanet Survey Satellite (TESS) mission measured light from stars in ~85% of the sky throughout its two-year primary mission, resulting in millions of TESS 30-minute cadence light curves to analyze in the search for transiting exoplanets. To search this vast dataset, we aim to provide an approach that is both computationally efficient, produces highly performant predictions, and minimizes the required human search effort. We present a convolutional neural network that we train to …

abstract analyze arxiv astro-ph.ep astro-ph.im astro-ph.sr cadence convolutional neural networks cs.lg eess.iv exoplanet exoplanets image light mission networks neural networks satellite search survey tess type variables vast via