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A unified framework for 21cm tomography sample generation and parameter
  inference with Progressively Growing GANs

A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs

Monthly notices of the Royal Astronomical Society (MNRAS), 2020
19 February 2020
Florian List
G. Lewis
ArXiv (abs)PDFHTML

Papers citing "A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs"

2 / 2 papers shown
deep21: a Deep Learning Method for 21cm Foreground Removal
deep21: a Deep Learning Method for 21cm Foreground RemovalJournal of Cosmology and Astroparticle Physics (JCAP), 2020
T. Lucas Makinen
Lachlan Lancaster
F. Villaescusa-Navarro
Peter Melchior
S. Ho
Laurence Perreault Levasseur
D. Spergel
3DPC
235
39
0
29 Oct 2020
AI-assisted super-resolution cosmological simulations
AI-assisted super-resolution cosmological simulations
Yin Li
Y. Ni
R. Croft
T. Di Matteo
Simeon Bird
Yu Feng
295
56
0
13 Oct 2020
1
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