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Jet precession can reveal the presence of binary systems of supermassiveblack holes. The ability to accurately measure the parameters of jet precessionfrom radio-loud AGN is important for constraining the binary supermassive blackhole population, which are expected as a result of hierarchical galaxyevolution. The age, morphology, and orientation along the line of sight of agiven source often result in uncertainties regarding jet path. This paperpresents a new approach for efficient determination of precession parametersusing a 2D MCMC curve-fitting algorithm which provides us a full posteriorprobability distribution on the fitted parameters. Applying the method toCygnus A, we find evidence for previous suggestions that the source isprecessing. Interpreted in the context of binary black holes leads to aconstraint of parsec scale and likely sub-parsec orbital separation for theputative supermassive binary.

A Markov Chain Monte Carlo approach for measurement of jet precession in radio-loud active galactic nuclei