81 citations · 96 across the 4 of their papers we have counts for
4 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…
Predicting Halo Formation Time Using Machine Learning
Atulit Srivastava, Weiguang Cui, Daniel de Andres +3
Context:Halo formation time, which quantifies the mass assembly history of dark-matter halos, directly impacts galaxy properties and evolution. Although not directly observable, it…
\textsc{The Three Hundred} project: The \textsc{Gizmo-Simba} run
Weiguang Cui, Romeel Dave, Alexander Knebe +22
We introduce \textsc{Gizmo-Simba}, a new suite of galaxy cluster simulations within \textsc{The Three Hundred} project. \textsc{The Three Hundred} consists of zoom re-simulations o…
Anisotropic deformations in a class of projectively-invariant metric-affine theories of gravity
Jose Beltrán Jiménez, Daniel de Andrés, Adrià Delhom
Among the general class of metric-affine theories of gravity, there is a special class conformed by those endowed with a projective symmetry. Perhaps the simplest manner to realise…