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

The scale of ongoing and future electromagnetic surveys pose formidable challenges to classify astronomical objects. Pioneering efforts on this front include citizen science campaigns adopted by the Sloan Digital Sky Survey (SDSS). SDSS datasets have been recently used to train neural network models...

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Bibliographic Details
Main Authors: Asad Khan, E.A. Huerta, Sibo Wang, Robert Gruendl, Elise Jennings, Huihuo Zheng
Format: Article
Language:English
Published: Elsevier 2019-08-01
Series:Physics Letters B
Online Access:http://www.sciencedirect.com/science/article/pii/S0370269319303879