160 citations · 908 across the 19 of their papers we have counts for
19 papers
Using Machine Learning to Model Stellar Collisions in our Galactic Center
Tristan C. Sand, Sanaea C. Rose, Elena González Prieto +8
Direct collisions in the inner pc of the Galactic center can alter the orbits and properties of stars. The outcome of a collision depends on a number of parameters, including the m…
Formation of Black Hole-White Dwarf X-ray Binaries in Globular Clusters
William Y. W. Yang, Kyle Kremer, James C. Lombardi +1
Globular clusters are host to significant populations of dynamically-active stellar remnants that connect to a variety of astrophysical sources. Using simulations performed with th…
Machine Learning Methods for Stellar Collisions. I. Predicting Outcomes of SPH Simulations
Elena González Prieto, James C. Lombardi, Sanaea C. Rose +7
Stellar collisions can occur frequently in dense cluster environments, and play a crucial role in producing exotic phenomena from blue stragglers in globular clusters to high-energ…
Modeling Stellar Collisions in Galactic Nuclei Using Hydrodynamic Simulations and Machine Learning
Sanaea C. Rose, James C. Lombardi, Elena González Prieto +2
Nuclear star clusters represent some of the most extreme collisional environments in the Universe. A nuclear star cluster like that of the Milky Way harbors a supermassive black ho…
Spin-Orbit Alignment in Merging Binary Black Holes Following Collisions with Massive Stars
Fulya Kıroğlu, James C. Lombardi, Kyle Kremer +2
Merging binary black holes (BBHs) formed dynamically in dense star clusters are expected to have uncorrelated spin--orbit orientations since they are assembled through many random…
Formation of Stripped Stars From Stellar Collisions in Galactic Nuclei
C. Gibson, F. Kıroğlu, J. C. Lombardi +7
Tidal disruption events (TDEs) are an important way to probe the properties of stellar populations surrounding supermassive black holes. Observed spectra of several TDEs, such as A…