9 citations · 9 across the 3 of their papers we have counts for
3 papers
Generating Galaxy Clusters Mass Density Maps from Mock Multiview Images via Deep Learning
Daniel de Andres, Weiguang Cui, Gustavo Yepes +5
Galaxy clusters are composed of dark matter, gas and stars. Their dark matter component, which amounts to around 80\% of the total mass, cannot be directly observed but traced by t…
SANGEA: Scalable and Attributed Network Generation
Valentin Lemaire, Youssef Achenchabe, Lucas Ody +4
The topic of synthetic graph generators (SGGs) has recently received much attention due to the wave of the latest breakthroughs in generative modelling. However, many state-of-the-…
Mass Estimation of Planck Galaxy Clusters using Deep Learning
Daniel de Andres, Weiguang Cui, Florian Ruppin +6
Clusters of galaxies mass can be inferred by indirect observations, see X-ray band, Sunyaev-Zeldovich (SZ) effect signal or optical. Unfortunately, all of them are affected by some…