The Search for SuperMassive Black Hole Binaries with

In this work we focus on the search and detection of Supermassive black hole binary systems, including systems at high redshift. As well as expanding on previous works where we used a variant of Markov Chain Monte Carlo (MCMC) with simulated annealing, we introduce a new search method based on frequency annealing which leads to a more rapid and robust detection. We compare the two search methods on systems where we do and do not see the merger of the black holes. In the non-merger case, we also examine the posterior distribution exploration using a 7-D MCMC algorithm. We demonstrate that this method is quite effective in dealing with the high correlations between parameters, has a higher acceptance rate than previously proposed methods and produces posterior distribution functions that are extremely close to the prediction from the Fisher matrix. Finally, after carrying out searches where there is only one binary in the data stream, we examine the case where two black hole binaries are present in the same data stream. We demonstrate that we have no problems in pulling out the two binaries, displaying that there is virtually no correlation between overlapping binary black holes, and more importantly showing that we can safely extract the SMBHB sources without contaminating the rest of the data stream.