17 citations · 39 across the 4 of their papers we have counts for
4 papers
Inferring intrahalo light from stellar kinematics -- A deep learning approach
I. Marini, A. Saro, S. Borgani +1
Disentangling the stellar population in the central galaxy from the intrahalo light can help us shed light on the formation history of the host halo, as the properties of the stell…
Machine Learning to identify ICL and BCG in simulated galaxy clusters
I. Marini, S. Borgani, A. Saro +4
Nowadays, Machine Learning techniques offer fast and efficient solutions for classification problems that would require intensive computational resources via traditional methods. W…
Velocity dispersion of the brightest cluster galaxies in cosmological simulations
I. Marini, S. Borgani, A. Saro +7
Using the DIANOGA hydrodynamical zoom-in simulation set of galaxy clusters, we analyze the dynamics traced by stars belonging to the Brightest Cluster Galaxies (BCGs) and their sur…
On the phase-space structure of galaxy clusters from cosmological simulations
I. Marini, A. Saro, S. Borgani +8
Cosmological N-body simulations represent an excellent tool to study the formation and evolution of dark matter (DM) halos and the mechanisms that have originated the universal pro…