Systematic and statistical errors in a bayesian approach to the estimation of the neutron-star equation of state using advanced gravitational wave detectors
By Leslie Wade, Jolien D. E. Creighton, E. Ochsner, B. Lackey, B. Farr, T. Littenberg, V. Raymond. 2014
164 citations recorded by the source corpus.
Advanced ground-based gravitational-wave detectors are capable of measuring tidal influences in binary neutron-star systems. In this work, we report on the statistical uncertainties in measuring tidal deformability with a full Bayesian parameter estimation implementation. We show how simultaneous measurements of chirp mass and tidal deformability can be used to constrain the neutron-star equation of state. We also study the effects of waveform modeling bias and individual instances of detector noise on these measurements. We notably find that systematic error between post-Newtonian waveform families can significantly bias the estimation of tidal parameters, thus motivating the continued development of waveform models that are more reliable at high frequencies.
Subfields: Astronomy and Astrophysics, Geophysics, Oceanography
View Paper: https://www.semanticscholar.org/paper/b49108a79b84ac1b517da403dae7c8f5be83dc1a
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Citations in the corpus
- GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run (2020, methodology): “The dominant tidal contribution to the waveform is given by the dimensionless tidal deformability parameter [189,190]”
- GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs (2018, background): “The dominant tidal contribution to the GW phase evolution is encapsulated in an effective tidal deformability parameter [124, 125]”
- GW170817: Joint Constraint on the Neutron Star Equation of State from Multimessenger Observations (2017, background): “…(Flanagan & Hinderer 2008; Damour & Nagar 2010; Hinderer et al. 2010, 2016; Damour et al. 2012; Del Pozzo et al. 2013; Read et al. 2013; Favata 2014; Wade et al. 2014; Bernuzzi et al. 2015b; Lackey & Wade 2015; Hotokezaka et al. 2016; Lackey et al. 2017; Dietrich et al. 2017a; Kiuchi et al. 2017).”