Probabilistic model-based detection of bent-double radio galaxies

We describe an application of probabilistic modeling to the problem of recognizing radio galaxies with a bent-double morphology. The type of galaxies in question contain distinctive signatures of geometric shape and flux density that can be used to be build a probabilistic model that is then used to score potential galaxy configurations. The experimental results suggest that even relatively simple probabilistic models can be useful in identifying galaxies of interest in an automatic manner.