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AI-powered model enhances atmospheric calibration precision for astronomical observation and geodetic measurement

Summary by Phys.org
Researchers from the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences have developed a hybrid deep learning model that can accurately predict atmospheric delay, a key source of error in astronomical observations and geodetic measurements. The study is published in Research in Astronomy and Astrophysics.

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Phys.org broke the news in United Kingdom on Friday, October 17, 2025.
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