Parameter Estimation

After the identification of candidate gravitational-wave events, further source characterization is performed using Bayesian inference. This involves using stochastic sampling techniques to obtain estimates of the system’s binary parameters like the masses and spins of the individual compact objects and the sky localization, distance, and inclination angle relative to the source. At MIT, we are involved in investigating sources of systematic error such as waveform systematics, power spectral density estimation, and detector calibration. We are particularly interested in simulated and astrophysical low-significance sources and neutron-star equation of state measurements. We are also involved in the development of the parameter estimation package Bilby.