Description: Bayesian inference, matched filtering, and parameter estimation on LIGO/Virgo strain data.
Moore develops novel Bayesian data-analysis techniques for gravitational-wave time-series data from merging black hole binaries, using these signals to probe astrophysics and fundamental physics, including tests of general relativity and constraints from future space-based (LISA) observations.