3 papers
astro-ph.CO2026
Closing the Observational Gap in Cosmic Dynamics: AI-Enabled Reconstruction of the Universe's Vorticity and Rotational Flow Morphology
Ziyong Wu, Xu Xiao, Fuyu Dong +7
The cosmic vorticity field, an essential tracer of nonlinear structure formation, has remained observationally inaccessible because transverse galaxy motions are difficult to measu…
astro-ph.CO2025
Deep learning with hybrid frequency differencing and principal component analysis for 21-cm foreground and beam mitigation
Zitong Wang, Feng Shi, Le Zhang +5
Twenty-one-centimeter intensity mapping is a powerful probe of the large-scale distribution of neutral hydrogen (HI) and cosmological observables such as baryon acoustic oscillatio…
astro-ph.CO2023
21-cm foreground removal using AI and frequency-difference technique
Feng Shi, Haoxiang Chang, Le Zhang +5
The deep learning technique has been employed in removing foreground contaminants from 21 cm intensity mapping, but its effectiveness is limited by the large dynamic range of the f…