4.2k citations · 17.1k across the 121 of their papers we have counts for
123 papers
Neural Bayesian updates to populations with growing gravitational-wave catalogs
Noah E. Wolfe, Matthew Mould, John Veitch +1
As gravitational-wave catalogs grow, they will become increasingly computationally expensive to analyze in their entirety, especially when inferring astrophysical source population…
Revealing massive black hole astrophysics: The potential of hierarchical inference with extreme mass-ratio inspiral observations
Shashwat Singh, Christian E. A. Chapman-Bird, Christopher P. L. Berry +1
Gravitational waves from extreme mass-ratio inspirals (EMRIs) will enable sub-percent measurements of massive black hole parameters and provide access to the demographics of compac…
GW231123: Overlapping Gravitational Wave Signals?
Qian Hu, Harsh Narola, Jef Heynen +4
The recently discovered gravitational wave event GW231123 was interpreted as the merger of two black holes with a total mass of 190-265 , making it the heaviest such merge…
Exploring the astrophysical origins of binary black holes using normalising flows
Storm Colloms, Christopher P L Berry, John Veitch +1
The growing number of gravitational-wave detections from binary black holes enables increasingly precise measurements of their population properties. The observed population is mos…
Constraints on the extreme mass-ratio inspiral population from LISA data
Shashwat Singh, Christian E. A. Chapman-Bird, Christopher P L Berry +1
Gravitational waves from extreme mass-ratio inspirals (EMRIs), the inspirals of stellar-mass compact objects into massive black holes, are predicted to be observed by the Laser Int…
Inference with finite time series II: the window strikes back
Colm Talbot, Sylvia Biscoveanu, Aaron Zimmerman +9
Smooth window functions are often applied to strain data when inferring the parameters describing the astrophysical sources of gravitational-wave transients. Within the LIGO-Virgo-…