29 citations · 56 across the 13 of their papers we have counts for
4 papers · 1 filter
Deriving accurate galaxy cluster masses using X-ray thermodynamic profiles and graph neural networks
Asif Iqbal, Subhabrata Majumdar, Elena Rasia +4
Precise determination of galaxy cluster masses is crucial for establishing reliable mass-observable scaling relations in cluster cosmology. We employ graph neural networks (GNNs) t…
The life and times of dark matter haloes: what will I be when I grow up?
Julian Onions, Frazer Pearce, Alexander Knebe +6
Are the most massive objects in the Universe today the direct descendants of the most massive objects at higher redshift? We address this question by tracing the evolutionary histo…
The Three Hundred Project: deducing the stellar splashback structure of galaxy clusters from their orbiting profiles
Kris Walker, Aaron Ludlow, Chris Power +2
We examine the splashback structure of galaxy clusters using hydrodynamical simulations from the GIZMO run of The Three Hundred Project, focusing on the relationship between the st…
PyMGal: A Python Package for Generating Optical Mock Observations from Hydrodynamical Simulations
Patrick Janulewicz, Weiguang Cui
We introduce PyMGal, a Python package for generating optical mock observations of galaxies from hydrodynamical simulations. PyMGal reads the properties of stellar particles from th…