机器学习与宇宙学
Machine Learning and Cosmology
摘要：
基于机器学习的方法最近在宇宙学的许多角落取得了实质性的进展。通过这个过程，新的计算工具，数据收集，模型开发，分析和发现的新视角，以及新的社区和教育途径已经出现。尽管进展迅速，但宇宙学和机器学习交叉点的巨大潜力仍未开发。在本白皮书中，我们总结了当前和正在进行的与宇宙学中机器学习应用相关的发展，并提供了一系列建议，旨在通过技术开发和新兴社区的培育，在未来十年内最大限度地发挥这些新兴工具的科学影响。
英文摘要：
Methods based on machine learning have recently made substantial inroads in many corners of cosmology. Through this process, new computational tools, new perspectives on data collection, model development, analysis, and discovery, as well as new communities and educational pathways have emerged. Despite rapid progress, substantial potential at the intersection of cosmology and machine learning remains untapped. In this white paper, we summarize current and ongoing developments relating to the application of machine learning within cosmology and provide a set of recommendations aimed at maximizing the scientific impact of these burgeoning tools over the coming decade through both technical development as well as the fostering of emerging communities.
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