Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey

标题
Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey
作者
关键词
Deep learning, Convolutional neural networks, Sloan Digital Sky Survey, Dark Energy Survey, Large Synoptic Survey Telescope, Unsupervised learning
出版物
PHYSICS LETTERS B
Volume 795, Issue -, Pages 248-258
出版商
Elsevier BV
发表日期
2019-06-12
DOI
10.1016/j.physletb.2019.06.009

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started