144 citations · 358 across the 10 of their papers we have counts for
20 papers
Discriminating between different scenarios for the formation and evolution of massive black holes with LISA
Alexandre Toubiana, Kaze W. K. Wong, Stanislav Babak +5
Electromagnetic observations have provided strong evidence for the existence of massive black holes in the center of galaxies, but their origin is still poorly known. Different sce…
Looking for the parents of LIGO's black holes
Vishal Baibhav, Emanuele Berti, Davide Gerosa +2
Solutions to the two-body problem in general relativity allow us to predict the mass, spin and recoil velocity of a black-hole merger remnant given the masses and spins of its bina…
The missing link in gravitational-wave astronomy: A summary of discoveries waiting in the decihertz range
Manuel Arca Sedda, Christopher P L Berry, Karan Jani +25
Since 2015 the gravitational-wave observations of LIGO and Virgo have transformed our understanding of compact-object binaries. In the years to come, ground-based gravitational-wav…
Joint constraints on the field-cluster mixing fraction, common envelope efficiency, and globular cluster radii from a population of binary hole mergers via deep learning
Kaze W. K. Wong, Katelyn Breivik, Kyle Kremer +1
The recent release of the second Gravitational-Wave Transient Catalog (GWTC-2) has increased significantly the number of known GW events, enabling unprecedented constraints on form…
Constraining the primordial black hole scenario with Bayesian inference and machine learning: the GWTC-2 gravitational wave catalog
Kaze W. K. Wong, Gabriele Franciolini, Valerio De Luca +4
Primordial black holes (PBHs) might be formed in the early Universe and could comprise at least a fraction of the dark matter. Using the recently released GWTC-2 dataset from the t…
Gravitational-wave signal-to-noise interpolation via neural networks
Kaze W. K. Wong, Ken K. Y. Ng, Emanuele Berti
Computing signal-to-noise ratios (SNRs) is one of the most common tasks in gravitational-wave data analysis. While a single SNR evaluation is generally fast, computing SNRs for an…