突破天文观测深度极限，AI绘制“最深”深空星系

Core Insights - Tsinghua University has developed an astronomical AI model named "Xingyan" that enhances the detection of faint celestial bodies, unlocking key information about the origins and evolution of the universe [2][3] - The model overcomes limitations of traditional astronomical observations, which are hindered by hardware upgrades and complex noise interference, by utilizing self-supervised spatiotemporal denoising technology [2] Group 1 - The AI model "Xingyan" has improved the deep space detection depth by one magnitude and increased detection accuracy by 1.6 magnitudes when applied to the James Webb Space Telescope [3] - This enhancement is equivalent to increasing the effective aperture of the space telescope from approximately 6 meters to nearly 10 meters [3] - The team discovered over 160 early candidate galaxies from 200 million to 500 million years after the Big Bang, tripling the number found in previous studies [3] Group 2 - The model has produced the deepest images of deep space galaxies to date, providing new critical data for exploring the origins of galaxies during the cosmic dawn [3] - "Xingyan" is capable of decoding vast amounts of data from space telescopes and is compatible with various detection devices, positioning it as a potential universal deep space data enhancement platform [3]