Evaluating machine learning techniques for predicting power spectra from reionization simulations (2019)
Attributed to:
Training Grant UCL Physics
funded by
STFC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1093/mnras/sty3168
Publication URI: http://dx.doi.org/10.1093/mnras/sty3168
Type: Journal Article/Review
Parent Publication: Monthly Notices of the Royal Astronomical Society
Issue: 3