  We present a general framework for incorporating astrophysical information
into Bayesian parameter estimation techniques used by gravitational wave data
analysis to facilitate multi-messenger astronomy. Since the progenitors of
transient gravitational wave events, such as compact binary coalescences, are
likely to be associated with a host galaxy, improvements to the source sky
location estimates through the use of host galaxy information are explored. To
demonstrate how host galaxy properties can be included, we simulate a
population of compact binary coalescences and show that for ~8.5% of
simulations with in 200Mpc, the top ten most likely galaxies account for a ~50%
of the total probability of hosting a gravitational wave source. The true
gravitational wave source host galaxy is in the top ten galaxy candidates ~10%
of the time. Furthermore, we show that by including host galaxy information, a
better estimate of the inclination angle of a compact binary gravitational wave
source can be obtained. We also demonstrate the flexibility of our method by
incorporating the use of either B or K band into our analysis.
