243 citations · 2.4k across the 46 of their papers we have counts for
29 papers · 1 filter
Galaxy Velocity Bias in Cosmological Simulations: Towards Percent-level Calibration
Dhayaa Anbajagane, Han Aung, August E. Evrard +8
Galaxy cluster masses, rich with cosmological information, can be estimated from internal dark matter (DM) velocity dispersions, which in turn can be observationally inferred from…
SHAPing the Gas: Understanding Gas Shapes in Dark Matter Haloes with Interpretable Machine Learning
Luis Fernando Machado Poletti Valle, Camille Avestruz, David J. Barnes +3
The non-spherical shapes of dark matter and gas distributions introduce systematic uncertainties that affect observable-mass relations and selection functions of galaxy groups and…
The Cluster HEritage project with XMM-Newton: Mass Assembly and Thermodynamics at the Endpoint of structure formation. I. Programme overview
MATE Collaboration, M. Arnaud, S. Ettori +66
The Cluster HEritage project with XMM-Newton - Mass Assembly and Thermodynamics at the Endpoint of structure formation (CHEX-MATE) is a three mega-second Multi-Year Heritage Progra…
A deep learning view of the census of galaxy clusters in IllustrisTNG
Y. Su, Y. Zhang, G. Liang +8
The origin of the diverse population of galaxy clusters remains an unexplained aspect of large-scale structure formation and cluster evolution. We present a novel method of using X…
Studying galaxy cluster morphological metrics with Mock-X
Kaili Cao, David J. Barnes, Mark Vogelsberger
Dynamically relaxed galaxy clusters have long played a role in galaxy cluster studies because it is thought their properties can be reconstructed more precisely and with less syste…
Redshift evolution of the hot intracluster gas metallicity in the C-EAGLE cluster simulations
Francesca A. Pearce, Scott T. Kay, David J. Barnes +2
The abundance and distribution of metals in galaxy clusters contains valuable information about their chemical history and evolution. By looking at how metallicity evolves with red…