Inferring spin tilts at formation from gravitational wave observations of binary black holes: Interfacing precession-averaged and orbit-averaged spin evolution
Nathan K. Johnson-McDaniel, Sumeet Kulkarni, Anuradha Gupta

TL;DR
This paper introduces a new computational method combining precession-averaged and orbit-averaged evolution to accurately infer the initial spin tilts of binary black holes from gravitational wave data, improving understanding of their formation.
Contribution
A novel code that efficiently computes black hole spin tilts at formation by integrating different evolution regimes and regularizing equations for near-equal mass binaries.
Findings
Successfully applied to GW190521 and other O3a detections.
Determined the transition frequency for evolution regimes with specified accuracy.
Identified a $1/(1 - q)$ scaling in the equal-mass limit.
Abstract
Two important parameters inferred from the gravitational wave signals of binaries of precessing black holes are the spin tilt angles, i.e., the angles at which the black holes' spin axes are inclined with respect to the binary's orbital angular momentum. The LIGO-Virgo parameter estimation analyses currently provide spin tilts at a fiducial reference frequency, often the lowest frequency used in the data analysis. However, the most astrophysically interesting quantities are the spin tilts when the binary was formed, which can be significantly different from those at the reference frequency for strongly precessing binaries. The spin tilts at formally infinite separation are a good approximation to the tilts at formation in many formation channels and can be computed efficiently for binary black holes using precession-averaged evolution. Here, we present a new code for computing the tilts…
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