3 citations · 3 across the 2 of their papers we have counts for
5 papers
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…
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…
Constraining neutrino mass with the CSST galaxy clusters
Mingjing Chen, Yufei Zhang, Wenjuan Fang +2
With the advent of next-generation surveys, constraints on cosmological parameters are anticipated to become more stringent, particularly for the total neutrino mass. This study fo…
The Three Hundred: The existence of massive dark matter-deficient satellite galaxies in cosmological simulations
Ana Contreras-Santos, Fernando Buitrago, Alexander Knebe +5
The observation of a massive galaxy with an extremely low dark matter content (i.e. NGC 1277) has posed questions about how such objects form and evolve in a hierarchical universe.…