Measuring neutron star tidal deformability with Advanced LIGO: a Bayesian analysis of neutron star - black hole binary observations
Prayush Kumar, Michael P\"urrer, Harald P. Pfeiffer

TL;DR
This paper uses Bayesian analysis of gravitational wave data from neutron star-black hole mergers to assess how well neutron star tidal deformability can be measured, considering black hole spins and population effects.
Contribution
It introduces a Bayesian framework for measuring neutron star tidal deformability from NSBH GW signals, accounting for black hole spins and population statistics.
Findings
Bias in parameter estimation is significant only for loud signals with SNR > 30.
Individual loud events can constrain tidal deformability within a factor of 1-2.
20-35 NSBH detections are sufficient to measure tidal deformability within 25-50% accuracy.
Abstract
The discovery of gravitational waves (GW) by Advanced LIGO has ushered us into an era of observational GW astrophysics. Compact binaries remain the primary target sources for LIGO, of which neutron star-black hole (NSBH) binaries form an important subset. GWs from NSBH sources carry signatures of (a) the tidal distortion of the neutron star by its companion black hole during inspiral, and (b) its potential tidal disruption near merger. In this paper, we present a Bayesian study of the measurability of neutron star tidal deformability using observation(s) of inspiral-merger GW signals from disruptive NSBH coalescences, taking into account the crucial effect of black hole spins. First, we find that if non-tidal templates are used to estimate source parameters for an NSBH signal, the bias introduced in the estimation of non-tidal physical parameters…
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