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deep21: a Deep Learning Method for 21cm Foreground Removal

deep21: a Deep Learning Method for 21cm Foreground Removal

29 October 2020
T. Lucas Makinen
Lachlan Lancaster
F. Villaescusa-Navarro
Peter Melchior
S. Ho
Laurence Perreault Levasseur
D. Spergel
    3DPC
ArXivPDFHTML

Papers citing "deep21: a Deep Learning Method for 21cm Foreground Removal"

2 / 2 papers shown
Title
The Cosmic Graph: Optimal Information Extraction from Large-Scale
  Structure using Catalogues
The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
T. Lucas Makinen
Tom Charnock
Pablo Lemos
Natalia Porqueres
A. Heavens
Benjamin Dan Wandelt
20
26
0
11 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
1