3 papers
astro-ph.IM2025
Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network
Peng Jia, Ge Li, Bafeng Cheng +2
Fast moving celestial objects are characterized by velocities across the celestial sphere that significantly differ from the motions of background stars. In observational images, t…
astro-ph.IM2025
Image Pre-Processing Framework for Time-Domain Astronomy in the Artificial Intelligence Era
Liang Cao, Peng Jia, Jiaxin Li +3
The rapid advancement of image analysis methods in time-domain astronomy, particularly those leveraging AI algorithms, has highlighted efficient image pre-processing as a critical…
astro-ph.GA2024
First Discovery and Confirmation of PN Candidates Found from AI and Deep Learning Techniques Applied to VPHAS+ Survey Data
Yushan Li, Quentin Parker, Peng Jia
Context. We have developed deep learning (DL) and AI-based tools to search extant narrow-band wide-field H surveys of the Galactic Plane for elusive planetary nebulae (PNe) whi…