Rapid gravitational wave parameter estimation with a single spin: Systematic uncertainties in parameter estimation with the SpinTaylorF2 approximation
Brandon Miller (1), Richard O'Shaughnessy (1), Tyson B. Littenberg, (2), Ben Farr (3) ((1) CCRG, Rochester Institute of Technology, (2) CIERA,, Northwestern University, (3) Enrico Fermi Institute, University of Chicago)

TL;DR
This paper evaluates the accuracy and limitations of a fast approximate waveform model, SpinTaylorF2, for low-latency gravitational wave parameter estimation, highlighting its systematic biases and impact on electromagnetic followup decisions.
Contribution
It systematically assesses the biases introduced by the single-spin approximation in the SpinTaylorF2 model for generic compact binary sources.
Findings
Biases in parameter estimates are comparable to systematic waveform uncertainties.
The approximation affects key parameters relevant for electromagnetic followup.
Most low-mass sources have biases within acceptable systematic error margins.
Abstract
Reliable low-latency gravitational wave parameter estimation is essential to target limited electromagnetic followup facilities toward astrophysically interesting and electromagnetically relevant sources of gravitational waves. In this study, we examine the tradeoff between speed and accuracy. Specifically, we estimate the astrophysical relevance of systematic errors in the posterior parameter distributions derived using a fast-but-approximate waveform model, SpinTaylorF2 (STF2), in parameter estimation with lalinference_mcmc. Though efficient, the STF2 approximation to compact binary inspiral employs approximate kinematics (e.g., a single spin) and an approximate waveform (e.g., frequency domain versus time domain). More broadly, using a large astrophysically-motivated population of generic compact binary merger signals, we report on the effectualness and limitations of this…
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