243 citations · 2.4k across the 46 of their papers we have counts for
47 papers
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…
The splashback boundary of haloes in hydrodynamic simulations
Stephanie O'Neil, David J. Barnes, Mark Vogelsberger +1
The splashback radius, , is a physically motivated halo boundary that separates infalling and collapsed matter of haloes. We study in the hydrodynamic and…
Is there enough star formation in simulated protoclusters?
Seunghwan Lim, Douglas Scott, Arif Babul +5
As progenitors of the most massive objects, protoclusters are key to tracing the evolution and star-formation history of the Universe, and are responsible for per c…
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…