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From the 1 of 6 linked papers with an AI index.

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6 papers

astro-ph.GA2026

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…

astro-ph.CO2026

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…

astro-ph.GA2026

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…

astro-ph.CO2025

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…

astro-ph.CO2025

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…

astro-ph.GA2025

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…