Black Hole Kicks

Research on Black Hole Mergers

This is a brief overview of my black-hole mergers research from the Harvard-MIT Science Research Mentoring Program (SRMP) at the Center for Astrophysics (2019-2020). Thank you to Harvard & Smithsonian (CfA), MIT, and my mentor Dr. Carl Rodriguez.

Abstract from:

PRECESSION: Dynamics of spinning black-hole binaries with python

We present the numerical code PRECESSION, a new open-source Python module to study the dynamics of precession black-hole binaries in the post-Newtonian regime. The code provides a comprehensive toolbox to (i) study the evolution of the black-hole spins along their precession cycles, (ii) perform gravitational-wave-driven binary inspirals using both orbit-averaged and precession-averaged integrations, and (iii) predict the properties of the merger remnant through fitting formulas obtained from numerical-relativity simulations. PRECESSION is a ready-to-use tool to add the black-hole spin dynamics to larger-scale numerical studies such as gravitational-wave parameter estimation codes, population synthesis models to predict gravitational-wave event rates, galaxy merger trees and cosmological simulations of structure formation. PRECESSION provides fast and reliable integration methods to propagate statistical samples of black-hole binaries from/to large separations where they form to/from small separations where they become detectable, thus linking gravitational-wave observations of spinning black-hole binaries of their astrophysical formation history. The code is also a useful tool to compute initial parameters for numerical-relativity simulations targeting specific precessing systems. PRECESSION can be installed from the PYTHON Package Index, and it is freely distributed under version control on GITHUB, where further documentation is provided.

Supplementary Material

What are black-hole mergers?

ligo LIGO @ Livingston, Louisiana

Black Hole Mergers and Gravitational Waves

GW150914 Calculated waveform from GW150914 (the first observation of a binary black hole merger)

Black Hole Mergers in Globular Clusters

The Project

Goal: Build a simulation to determine a correlation between the birth spin of a black hole and the chances of it merging.

Kick Velocity

The magnitude of the kick velocity can be modeled as follows: kickVelocity

Kick Velocity Distributions: kickVelocityDistribution

Final Spin

The expression for dimensionless spin (finalspin): finalSpin Final Spin Distributions: finalSpinDistribution

Kick Velocity & Final Spin Comparison

escape200 Birth spin 0, Escape speed = 200km/s escape50 Birth spin 0, Escape speed = 50km/s escape10 Birth spin 0, Escape speed = 10km/s

Distribution of Final spins from birth spin

birth0.1 Birth spin = 0.1 birth0.2 Birth spin = 0.2

Conclusion

References