4 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…
Measurement of spin-orbit misalignment in binary black holes via the total spin
Charles F. A. Gibson, Isha Anantpurkar, Javier Roulet
The degree of spin-orbit alignment in merging binary black holes is a powerful probe of their formation history. However, assessing spin-orbit misalignment in individual events rem…
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…
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…