DELOS applies contrastive learning to phase-folded light curves to detect shallow intermediate-to-long period transits, reporting 15.5% and 11.25% gains in combined precision-recall over BLS and TLS in low-SNR tests plus 3-80x speedups.
2022c, in Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave, ed
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
astro-ph.EP 2years
2026 2representative citing papers
TransitNet recovers 93% of injected Earth-size and sub-Earth transits at low SNR where BLS and TLS recover only 60%, while running 4-25 times faster.
citing papers explorer
-
DELOS: Detecting Shallow Transits in Kepler Photometry Using a Contrastive-Learning Framework
DELOS applies contrastive learning to phase-folded light curves to detect shallow intermediate-to-long period transits, reporting 15.5% and 11.25% gains in combined precision-recall over BLS and TLS in low-SNR tests plus 3-80x speedups.
-
TransitNet: A Compact Attention-Augmented Deep Learning Framework for Low-SNR Transit Blind Searches
TransitNet recovers 93% of injected Earth-size and sub-Earth transits at low SNR where BLS and TLS recover only 60%, while running 4-25 times faster.