BAYMAX: A Bayesian Framework for Distinguishing Dual AGNs from Single AGNs

A Bayesian Analysis of SDSS J0914+0853, a Low-Mass Dual AGN Candidate

We present the first results from baymax (bayesian analysis of multiple agn in x-rays), a tool that uses a bayesian framework to quantitatively evaluate whether a given chandra observation is more likely a single or dual pointsource.Using likelihood models for single and dual point sources, baymax quantitatively evaluates the likelihoodof an agn for a given source.Specifically, we present results from analyzing the lowest-mass dual agn candidate to date, where archival chandra data shows a possible secondary agn ~0.3''from the primary.Using a new 50 ks chandra observation, results from baymax shows that the lowest-mass dual agn candidate to date, sdss j0914+0853, is most likely a single point source with a bayes factor of 13.5 in favor of a single point source model.