From the 1 of 6 linked papers with an AI index.
6 papers
Identifying backsplash galaxies using machine learning
Roan Haggar, Elizaveta Sazonova, Cameron R. Morgan +5
The paper presents a machine‑learning model trained on The Three Hundred cluster simulations that can identify backsplash galaxies in observations, achieving about 70% purity/compl…
Tracing the dynamical states and mass accretion histories of galaxy clusters in IllustrisTNG
Rashaad Reid, Syeda Lammim Ahad, Roan Haggar +2
As the largest and most recently formed stage of hierarchical structure, present-day galaxy clusters are predicted to have a broad range of late-time assembly histories. This diver…
Identifying group galaxies merging with massive clusters using machine learning
Rhys Jordan, Meghan E. Gray, Alfonso Aragón-Salamanca +3
The environment plays a critical role in galaxy evolution, with galaxy clusters and their infall regions offering diverse conditions that shape galaxies before they enter the dense…
Cosmology from UNIONS weak lensing profiles of galaxy clusters
Charlie T. Mpetha, James E. Taylor, Yuba Amoura +12
Cosmological information is encoded in the structure of galaxy clusters. In Universes with less matter and larger initial density perturbations, clusters form earlier and have more…
The origin of the intra-cluster light in The Three Hundred simulations
A. Contreras-Santos, A. Knebe, W. Cui +9
We investigate the origin and formation mechanisms of the intra-cluster light (ICL) in The Three Hundred simulations, a set of 324 hydrodynamically resimulated massive galaxy clust…
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…