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Findings on Information Technology Reported by Investigators at Chinese Academy of Sciences (Extracting Photometric Redshift From Galaxy Flux and Image Data Using Neural Networks In the Csst Survey)

机译:结果报告的信息技术调查人员在中国科学院(提取光度从星系红移通量在中国安防使用神经网络和图像数据调查)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Information Technology have been published. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The accuracy of galaxy photometric redshift (photo-z) can significantly affect the analysis of weak gravitational lensing measurements, especially for future high-precision surveys. In this work, we try to extract photo-z information from both galaxy flux and image data expected to be obtained by China Space Station Telescope (CSST) using neural networks.”
机译:由一个新闻记者在网络新闻编辑每日新闻——当前的研究结果信息技术已经出版。来自北京,中华人民共和国中国NewsRx记者、研究说,“星系光度红移的准确性(photo-z)可以显著影响分析弱引力透镜测量,特别是对于未来高精度调查。这项工作,我们试图提取photo-z信息从两个星系将通量和图像数据获得由中国空间站的望远镜使用神经网络(中国安防)。”

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