29 citations · 56 across the 13 of their papers we have counts for
6 papers · 1 filter
Probing the baryonic--dark matter connection in galaxy clusters using X-rays with gated recurrent unit neural networks
Asif Iqbal, Subhabrata Majumdar, Weiguang Cui +3
Accurate cluster mass measurements are crucial for cosmology, yet conventional hydrostatic equilibrium (HSE) methods can suffer from systematic biases, particularly in dynamically…
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…
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…
How much do we know the halo mass function? Predictions beyond resolution
Weiguang Cui
As a common gravitation virialized object in the standard CDM cosmology, dark matter halo connects from the large-scale structure all the way down to galaxy and star formation.…
Intrinsic mass-richness relation of clusters from THE THREE HUNDRED hydrodynamic simulations
Mingjing Chen, Weiguang Cui, Wenjuan Fang +1
The main systematics in cluster cosmology is the uncertainty in the mass-observable relation. In this paper, we focus on the most direct cluster observable in optical surveys, i.e.…
Characterising the intra-cluster light in The Three Hundred simulations
Ana Contreras-Santos, Alexander Knebe, Weiguang Cui +7
We characterise the intra-cluster light (ICL) in ensembles of full-physics cluster simulations from The Three Hundred project, a suite of 324 hydrodynamical resimulations of cluste…