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Latest News for September 27th, 2019

Training machines to understand the Universe

Upcoming large-scale datasets in astrophysics will challenge our ability to effectively analyze and interpret the data. Surveys of the 2020s (e.g., Euclid, LSST, WFIRST and SPHEREx) will provide multiple deep views of the universe, each survey with its own observational characteristics such as noise levels, resolution, and wavelength coverage. How do we best interpret the...