Rapster: a fast code for dynamical formation of black-hole binaries in dense star clusters

Konstantinos Kritos, Vladimir Strokov, Vishal Baibhav, Emanuele Berti

Published 2022-10-18Version 1

Gravitational-wave observations have just started probing the properties of black-hole binary merger populations. The observation of binaries with very massive black holes and small mass ratios motivates the study of dense star clusters as astrophysical environments which can produce such events dynamically. In this paper we present Rapster (for "Rapid cluster evolution"), a new code designed to rapidly model binary black hole population synthesis and the evolution of star clusters based on simple, yet realistic prescriptions. The code can be used to generate large populations of dynamically formed binary black holes. It makes use of existing packages such as SEVN to model the initial black hole mass spectrum, and PRECESSION to model the mass, spin and gravitational recoil of merger remnants. We demonstrate that the event rates and population properties predicted by Rapster are in good agreement with other state-of-the-art codes.