1.2k citations · 4.5k across the 37 of their papers we have counts for
8 papers · 1 filter
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…
Common-red-signal analysis with 24-yr high-precision timing of the European Pulsar Timing Array: Inferences in the stochastic gravitational-wave background search
S. Chen, R. N. Caballero, Y. J. Guo +49
We present results from the search for a stochastic gravitational-wave background (GWB) as predicted by the theory of General Relativity using six radio millisecond pulsars from th…
High mass but low spin: an exclusion region to rule out hierarchical black-hole mergers as a mechanism to populate the pair-instability mass gap
Davide Gerosa, Nicola Giacobbo, Alberto Vecchio
The occurrence of pair-instability supernovae is predicted to prevent the formation of black holes with masses . Recent gravitational-wave detections in this ma…
Massive black hole binary systems and the NANOGrav 12.5 year results
Hannah Middleton, Alberto Sesana, Siyuan Chen +3
The North American Nanohertz Observatory for Gravitational Waves (NANOGrav) has recently reported evidence for the presence of a common stochastic signal across their array of puls…
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…