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New effective precession spin for modeling multimodal gravitational waveforms in the strong-field regime
Lucy M. Thomas, Patricia Schmidt, Geraint Pratten
Accurately modelling the complete gravitational-wave signal from precessing binary black holes through the late inspiral, merger and ringdown remains a challenging problem. The lac…
A generalized precession parameter to interpret gravitational-wave data
Davide Gerosa, Matthew Mould, Daria Gangardt +3
Originally designed for waveform approximants, the effective precession parameter is the most commonly used quantity to characterize spin-precession effects in gravi…
Towards the routine use of subdominant harmonics in gravitational-wave inference: re-analysis of GW190412 with generation X waveform models
Marta Colleoni, Maite Mateu-Lucena, Héctor Estellés +5
We re-analyse the gravitational-wave event GW190412 with state-of-the-art phenomenological waveform models. This event, which has been associated with a black hole merger, is inter…
Assessing gravitational-wave binary black hole candidates with Bayesian odds
Geraint Pratten, Alberto Vecchio
Gravitational waves from the coalescence of binary black holes can be distinguished from noise transients in a detector network through Bayesian model selection by exploiting the c…
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…
Gravitational-wave selection effects using neural-network classifiers
Davide Gerosa, Geraint Pratten, Alberto Vecchio
We present a novel machine-learning approach to estimate selection effects in gravitational-wave observations. Using techniques similar to those commonly employed in image classifi…