3.6k citations · 8.4k across the 24 of their papers we have counts for
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2 Fast 2 Fiducial: Gaussian processes for the interpolation and marginalization of waveform error in extreme-mass-ratio-inspiral parameter estimation
Alvin J. K. Chua, Natalia Korsakova, Christopher J. Moore +2
A number of open problems hinder our present ability to extract scientific information from data that will be gathered by the near-future gravitational-wave mission LISA. Many of t…
Learning Bayesian posteriors with neural networks for gravitational-wave inference
Alvin J. K. Chua, Michele Vallisneri
We seek to achieve the Holy Grail of Bayesian inference for gravitational-wave astronomy: using deep-learning techniques to instantly produce the posterior for the source…
The unique potential of extreme mass-ratio inspirals for gravitational-wave astronomy
Christopher P. L. Berry, Scott A. Hughes, Carlos F. Sopuerta +6
The inspiral of a stellar-mass compact object into a massive (-) black hole produces an intricate gravitational-wave signal. Due to the extreme-mass…