4 papers
TransitNet: A Compact Attention-Augmented Deep Learning Framework for Low-SNR Transit Blind Searches
Xingchen Yan, Jian Ge, Qingtian Liu +3
Motivated by the observational incompleteness of intermediate-to-long-period Earth-size planets, we present TransitNet, a compact attention-augmented deep-learning framework for lo…
GTLS: A GPU-accelerated method for periodic transit detection
Quanquan Hu, Jian Ge, Luoxi Jin +1
Computational efficiency is a critical requirement for transit searches in modern large-scale photometric surveys. We present Graphics Processing Units Transit Least Squares (GTLS)…
DELOS: Contrastive Deep Learning for Low-SNR Blind Transit Searches in Kepler Photometry
Qingtian Liu, Jian Ge, XingChen Yan +4
We present DEtection in phase-folded Light curves with cOntrastive Scoring (DELOS), a deep-learning framework that uses contrastive scoring to perform blind searches for shallow tr…
Detecting Ca II Absorption Lines with a Fe II assisted Dual Neural Network
Lucas Wang, Jian Ge, Kevin Willis
Ca II absorbers, characterized by dusty and metal-rich environments, provide unique insights into the interstellar medium of galaxies. However, their rarity and weak absorption fea…