158 citations · 1.5k across the 32 of their papers we have counts for
32 papers
A machine learning framework to generate star cluster realisations
George P. Prodan, Mario Pasquato, Giuliano Iorio +4
Context. Computational astronomy has reached the stage where running a gravitational N-body simulation of a stellar system, such as a Milky Way star cluster, is computationally fea…
Formation of black holes in the pair-instability mass gap: Hydrodynamical simulations of a head-on massive star collision
Alessandro Ballone, Guglielmo Costa, Michela Mapelli +3
The detection of the binary black hole merger GW190521, with primary black hole mass , proved the existence of black holes in the theoretically pr…
Formation of black holes in the pair-instability mass gap: evolution of a post-collision star
Guglielmo Costa, Alessandro Ballone, Michela Mapelli +1
The detection of GW190521 by the LIGO-Virgo collaboration has revealed the existence of black holes (BHs) in the pair-instability (PI) mass gap. Here, we investigate the formation…
Dynamics of binary black holes in young star clusters: the impact of cluster mass and long-term evolution
Stefano Torniamenti, Sara Rastello, Michela Mapelli +3
Dynamical interactions in dense star clusters are considered one of the most effective formation channels of binary black holes (BBHs). Here, we present direct body simulations…
Dynamics of binary black holes in low-mass young star clusters
Sara Rastello, Michela Mapelli, Ugo N. di Carlo +5
Young star clusters are dynamically active stellar systems and are a common birthplace for massive stars. Low-mass star clusters ( M) are more numerous than…
Intermediate mass black holes from stellar mergers in young star clusters
Ugo N. Di Carlo, Michela Mapelli, Mario Pasquato +8
Intermediate mass black holes (IMBHs) in the mass range bridge the gap between stellar black holes (BHs) and supermassive BHs. Here, we investigate…