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Adaptive proposals for nonparametric equation-of-state inference with RIFT: iterative Gaussian-process refinement in a compressed sequence representation
R. O'Shaughnessy, Z. Zhu
Nonparametric equation-of-state (EOS) inference evaluates the likelihood on a finite ensemble drawn from a prescribed functional prior. Reweighting that ensemble suffices for the b…
Improved Population and EOS Joint Inference for Binary Neutron Star Systems
Marc Ebiri, Richard O'Shaughnessy
The extreme environment within neutron stars presents the opportunity to probe the nuclear equation of state at high densities while studying the properties of these stellar remnan…
Detectability of bulk viscosity effects on post-merger gravitational wave signals from binary neutron star mergers
Zhenyu Zhu, Michail Chabanov, Richard O'Shaughnessy
We investigate bulk viscosity (BV) effects on post-merger gravitational wave (PMGW) signals from binary neutron star (BNS) mergers and their detectability using realistic equation…
Constraining the Equation of State of Neutron Stars with third-generation Gravitational Wave detectors
Zhenyu Zhu, Richard O'Shaughnessy
We investigated the impact of the number of binary neutron star merger events and neutron star (NS) mass distributions on constraining the equation of state (EoS), tidal deformabil…
Narrow Population Inference Enhanced by Analytical Likelihood Models
Meesum Qazalbash, Sophiya Mehra, Muhammad Zeeshan +2
The growing catalog of gravitational-wave events has revealed substantial diversity in the properties of compact-binary mergers. However, commonly used population-inference methods…
Assessing the waveform systematics from parameter estimation to population inference with eccentricity
Muhammad Zeeshan, Richard O'Shaughnessy, Natalie Malagon +1
While masses and spins are routinely used to constrain compact binary formation channels, eccentricity provides an additional and potentially powerful diagnostic of binary origin,…