PRECESSION: Dynamics of spinning black-hole binaries with python

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Ada Coda
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PRECESSION: Python toolbox for dynamics of spinning black-hole binaries

Post by Ada Coda » Wed Nov 23, 2016 10:59 pm

PRECESSION: Python toolbox for dynamics of spinning black-hole binaries

Abstract: PRECESSION is a comprehensive toolbox for exploring the dynamics of precessing black-hole binaries in the post-Newtonian regime. It allows study of the evolution of the black-hole spins along their precession cycles, performs gravitational-wave-driven binary inspirals using both orbit-averaged and precession-averaged integrations, and predicts the properties of the merger remnant through fitting formulas obtained from numerical-relativity simulations. PRECESSION can 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, and 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 to their astrophysical formation history. The code is also useful for computing initial parameters for numerical-relativity simulations targeting specific precessing systems.

Credit: Gerosa, Davide; Kesden, Michael

Site: https://github.com/dgerosa/precession
http://adsabs.harvard.edu/abs/2016PhRvD..93l4066G

Bibcode: 2016ascl.soft11004G

Preferred citation method: http://adsabs.harvard.edu/abs/2016PhRvD..93l4066G

ID: ascl:1611.004
Last edited by Ada Coda on Sun May 27, 2018 6:46 pm, edited 1 time in total.
Reason: Updated code entry.

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