activity
19992026
most citedThe Fornax 3D project: unveiling the thick disk origin in FCC 170: signs of accretion?

102 citations · 1.7k across the 67 of their papers we have counts for

collaborators
Showing 2025 · astro-ph.GAShow all

6 papers · 2 filters

astro-ph.GA2025

The Spatial Distribution of Intra-Cluster Globular Clusters in the Fornax Cluster

Raffaele D'Abrusco, Marco Mirabile, Michele Cantiello +6

We investigate the spatial distribution of the Intra-Cluster Globular Clusters (ICGCs) detected in the core of the Fornax galaxy cluster. By separately modeling different component…

astro-ph.GA2025

Stellar halos of bright central galaxies II: Scaling relations, colors and metallicity evolution with redshift

Emanuele Contini, Marilena Spavone, Rossella Ragusa +2

We study the formation and evolution of stellar halos (SHs) around bright central galaxies (BCGs), focusing on their scaling relations, colors, and metallicities across cosmic time…

astro-ph.GA2025

Euclid preparation LXXIX. Using mock low surface brightness dwarf galaxies to probe Euclid Wide Survey detection capabilities

Euclid Collaboration, M. Urbano, P. -A. Duc +313

Local Universe dwarf galaxies can serve as both cosmological and mass assembly probes. Deep surveys have enabled the study of these objects down to the low surface brightness (LSB)…

astro-ph.GA2025★ 7 cited

Intra-Cluster Light as a Dynamical Clock for Galaxy Clusters: Insights from the MAGNETICUM, IllustrisTNG, Hydrangea and Horizon-AGN Simulations

Lucas C. Kimmig, Sarah Brough, Klaus Dolag +19

As the most massive nodes of the cosmic web, galaxy clusters represent the best probes of structure formation. Over time, they grow by accreting and disrupting satellite galaxies,…

astro-ph.GA2025★ 4 cited

Euclid preparation. Spatially resolved stellar populations of local galaxies with Euclid: a proof of concept using synthetic images with the TNG50 simulation

Euclid Collaboration, Abdurro'uf, C. Tortora +286

The European Space Agency's Euclid mission will observe approximately 14,000 of the extragalactic sky and deliver high-quality imaging for many galaxies. The depth a…

astro-ph.GA2025★ 7 cited

Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning

Euclid Collaboration, I. Kovačić, M. Baes +287

The Euclid mission is generating a vast amount of imaging data in four broadband filters at high angular resolution. This will allow the detailed study of mass, metallicity, and st…