Reliability of parameter estimates in the first observing run of Advanced LIGO
Reliability of parameter estimates in the first observing run of Advanced LIGO
Accurate parameter estimation is key to maximizing the scientific impact of gravitational-wave astronomy. Parameters of a binary merger are typically estimated using Bayesian inference. It is necessary to make several assumptions when doing so, one of which is that the detectors output stationary Gaussian noise. We test the validity of …