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deep21: a Deep Learning Method for 21cm Foreground Removal [article]

T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence Perreault-Levasseur, David N. Spergel
2020 arXiv   pre-print
We seek to remove foreground contaminants from 21cm intensity mapping observations.  ...  We provide the code used for this analysis on Github https://github.com/tlmakinen/deep21, as well as a browser-based tutorial for the experiment and UNet model via the accompanying http://bit.ly/deep21  ...  Conclusions In this study we developed a deep learning-based method to improve foreground cleaning techniques for single-dish 21cm cosmology.  ... 
arXiv:2010.15843v1 fatcat:fnsrjas5yzbrlmpmpxsdwoz7xi