Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks

Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks

Weak gravitational lensing mass maps play a crucial role in understanding the evolution of structures in the Universe and our ability to constrain cosmological models. The prediction of these mass maps is based on expensive N-body simulations, which can create a computational bottleneck for cosmolog...

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Bibliographic Details
Main Authors: Nathanaël Perraudin, Sandro Marcon, Aurelien Lucchi, Tomasz Kacprzak
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Artificial Intelligence
Subjects:
generative models
cosmological simulations
cosmological emulators
N-body simulations
mass maps
generative adversarial network
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.673062/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2021.673062/full

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