Astronomers detect rare neutral atomic-carbon absorbers with a deep neural network
Sydney, Australia (SPX) May 20, 2024
Recently, an international team led by Prof. GE Jian from the Shanghai Astronomical Observatory of the Chinese Academy of Sciences used deep learning neural networks to search for rare weak signals in quasar spectral data from the Sloan Digital Sky Survey III (SDSS-III) program. This study, published in the Monthly Notices of the Royal Astronomical Society, presents a new method for exploring ga
Recently, an international team led by Prof. GE Jian from the Shanghai Astronomical Observatory of the Chinese Academy of Sciences used deep learning neural networks to search for rare weak signals in quasar spectral data from the Sloan Digital Sky Survey III (SDSS-III) program. This study, published in the Monthly Notices of the Royal Astronomical Society, presents a new method for exploring ga