25 citations · 68 across the 11 of their papers we have counts for
3 papers · 1 filter
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…
3D scaling laws and projection effects in The300-NIKA2 Sunyaev-Zeldovich Large Program Twin Samples
A. Paliwal, W. Cui, D. de Andrés +10
The abundance of galaxy clusters with mass and redshift is a well-known cosmological probe. The cluster mass is a key parameter for studies that aim to constrain cosmological param…
Identifying Galaxy Cluster Mergers with Deep Neural Networks using Idealized Compton-y and X-ray maps
Ashleigh R. Arendt, Yvette C. Perrott, Ana Contreras-Santos +3
We present a novel approach to identify galaxy clusters that are undergoing a merger using a deep learning approach. This paper uses massive galaxy clusters spanning $0 \leq z \leq…