Rapid and accurate parameter inference for coalescing, precessing compact binaries

TL;DR

The paper introduces RIFT, a fast and flexible algorithm for gravitational wave parameter inference, capable of handling complex models and providing insights into neutron star equations of state.

Contribution

RIFT is a novel iterative fitting algorithm that significantly speeds up and broadens the scope of gravitational wave parameter inference compared to existing methods.

Findings

RIFT accurately recovers binary parameters in tests.

It outperforms traditional methods in speed and flexibility.

It enables detailed neutron star equation of state constraints.

Abstract

Extending prior work by Pankow et al, we introduce RIFT, an algorithm to perform Rapid parameter Inference on gravitational wave sources via Iterative Fitting. We demonstrate this approach can correctly recover the parameters of coalescing compact binary systems, using detailed comparisons of RIFT to the well-tested LALInference software library. We provide several examples where the unique speed and flexibility of RIFT enables otherwise intractable or awkward parameter inference analyses, including (a) adopting either costly and novel models for outgoing gravitational waves; and (b) mixed approximations, each suitable to different parts of the compact binary parameter space. We demonstrate how \RIFT{} can be applied to binary neutron stars, both for parameter inference and direct constraints on the nuclear equation of state.