DELOS: Detecting Shallow Transits in Kepler Photometry Using a Contrastive-Learning Framework 事件

DELOS: Detecting Shallow Transits in Kepler Photometry Using a Contrastive-Learning Framework arXiv:2605.29428v1 Announce Type: cross Abstract: We present DEtection in phase-folded Light curves with cOntrastive Scoring (DELOS), a contrastive-learning-based framework designed to search for shallow transits in Kepler photometry. DELOS combines GPU-accelerated phase folding, optimized phase binning, and a custom one-dimensional convolutional encoder to assign a transit-likeness score to each folde