Estimation of Parameters of Compact Binaries from Gravitational-Wave Observations

Abstract

Gravitational-wave astronomy promises to open a new window to view the universe and a great amount of interesting physics is thought to come from the direct observation of gravitational waves. Thus, once these signals are detected parameter estimation of sources such as compact binaries becomes important. This study aims to develop an efficient pipeline for parameter estimation based on the principles of Bayesian inference using Markov Chain Monte Carlo methods.