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The last three years: multiband gravitational-wave observations of stellar-mass binary black holes
Antoine Klein, Geraint Pratten, Riccardo Buscicchio +10
Understanding the formation and evolution of the stellar-mass binary black holes discovered by LIGO and Virgo is a challenge that spans many areas of astrophysics, from stellar evo…
Prospects for distinguishing dynamical tides in inspiralling binary neutron stars with third generation gravitational-wave detectors
Natalie Williams, Geraint Pratten, Patricia Schmidt
Tidal effects in gravitational-wave (GW) observations from binary neutron star mergers have the potential to probe ultra-dense matter and shed light on the unknown nuclear equation…
Impact of Dynamical Tides on the Reconstruction of the Neutron Star Equation of State
Geraint Pratten, Patricia Schmidt, Natalie Williams
Gravitational waves (GWs) from inspiralling neutron stars afford us a unique opportunity to infer the as-of-yet unknown equation of state of cold hadronic matter at supranuclear de…
Constraints on compact binary merger evolution from spin-orbit misalignment in gravitational-wave observations
B. P. Gompertz, M. Nicholl, P. Schmidt +2
The identification of the first confirmed neutron star - black hole (NS-BH) binary mergers by the LIGO, Virgo and KAGRA collaboration provides the opportunity to investigate the pr…
Tight multi-messenger constraints on the neutron star equation of state from GW170817 and a forward model for kilonova light curve synthesis
Matt Nicholl, Ben Margalit, Patricia Schmidt +3
We present a rapid analytic framework for predicting kilonova light curves following neutron star (NS) mergers, where the main input parameters are binary-based properties measurab…
Constraining the lensing of binary neutron stars from their stochastic background
Riccardo Buscicchio, Christopher J. Moore, Geraint Pratten +2
Gravitational wave (GW) transients from binary neutron star (BNS) coalescences can, in principle, be subject to gravitational lensing thereby increasing the amplitude and signal-to…