深度学习在天文学中的应用与改进

近年来,深度学习和人工智能技术迅猛发展,在多个学科领域得到了广泛关注和应用。天文学研究也不甘落后,涌现出一大批应用深度学习进行数据分析的工作。总结了深度学习在天文中的应用情况和趋势、天文数据类型和机器学习任务、天文中常用的深度学习网络模型和方法,以及深度学习在天文研究中的代表性应用和进展,并探讨和提出了其未来在天文学领域中的应用和改进建议。

The Application of Deep Learning in Astronomy

When all fields enter big data era,astronomy also steps into its golden age,the age of big data in astronomy.Astronomy has become a typical data-intensive science.So far astronomers have begun to utilize big data technology to analyse and process large amounts of observational and scientific product data generated by large digital sky survey telescopes as well as simulation data.In recent years,the rapid development of deep learning and artificial intelligence technologies has promoted their applications in various areas,and a large number of papers on the application of deep learning for data analysis and processing have emerged in astronomical research.This paper summarises the status and trend of deep learning application in astronomical data analysis and processing,astronomical data types and machine learning tasks,deep neural network models that are commonly used in astronomical data analysis.Moreover the representative application and progress of deep learning in astronomical scientific research are presented.The possible application directions in the future are discussed and put forward.